bluuebunny/crossref_metadata_2025 huggingface dataset:
Spontaneity of nuclear fusion: a qualitative analysis via classical thermodynamics
Authors: Tosti Silvano
Published: June 2021

Background: So far the feasibility of nuclear reactions has been studied only through the evaluation of the reaction rate, which gives us information about the kinetics, while the thermodynamic analysis has been limited to evaluations of the change in enthalpy without any consideration of the change in entropy.

Methods: This work examines the thermodynamics of nuclear fusion reactions through a simplified approach. The analysis introduces the thermodynamic study of fission and fusion reactions through their comparison with a chemical process.

Results: The main result is that fission reactions are always spontaneous (ΔG < 0) since a lot of energy is released in the form of heat and the system moves spontaneously towards a more disordered state. In contrast, fusion reactions are spontaneous only when the enthalpic contribution of the change in Gibbs free energy overcomes the entropic contribution. This condition is verified when the temperature of the process is below a characteristic value T*, calculated as the ratio between the energy corresponding to the mass defect and the change of entropy of the fusion reaction.

Conclusions: Due to the unavailability of data related to entropy changes in fusion reactions, only a qualitative thermodynamic analysis has been carried out. Through such analysis, the influence of the operating conditions over the spontaneity of fusion processes has been discussed. The final considerations emphasize the role of the thermodynamics analysis that should be implemented in the current studies that, so far, have been mainly based on the assessment of the reaction rate and exothermicity of fusion reactions.
Cancer, COVID-19, and the need for critique
Authors: Greco Cinzia , Arteaga Ignacia , Fabian-Therond Clara , Llewellyn Henry , Swallow Julia , Viney William
Published: June 2021

In this open letter we examine the implications of the coronavirus disease 2019 (COVID-19) pandemic for cancer research and care from the point of view of the social studies of science, technology, and medicine. We discuss how the pandemic has disrupted several aspects of cancer care, underscoring the fragmentation of institutional arrangements, the malleable priorities in cancer research, and the changing promises of therapeutic innovation. We argue for the critical relevance of qualitative social sciences in cancer research during the pandemic despite the difficulties of immersive kinds of fieldwork. Social science research can help understand the ongoing, situated and lived impact of the pandemic, as well as fully underline its socially stratified consequences. We outline the risk that limiting and prioritising research activities according to their immediate clinical outcomes might have in the relational and longitudinal understanding of cancer practices in the UK. Finally, we alert against potential distortions that a “covidization” of cancer research might entail, arguing for the need to maintain a critical point of view on the pandemic.
The urinary system: key to maintaining homeostasis
Authors: Peate Ian
Published: June 2021

This article provides the reader with an overview of the urinary system, sometimes called the renal system. There are number of component parts that make up this system. This body system works in unison with other body systems ensuring homeostasis (the ability to maintain a relatively stable internal state); it has a key role to play in maintaining homeostasis.

One aspect of the kidneys is to filter the blood; as they do this, they remove waste products and produce urine. The urine formed by the kidneys is stored in the urinary bladder and is expelled during the act of micturition.

Developing an understanding of the anatomy and physiology of the renal system and its component parts can help those who provide care to do so safely and effectively.

The article offers a glossary of terms and a short quiz is provided.
Mixed views informing the sector
Authors: Allingham Sue
Published: June 2021

There seems to be two distinct paths across the early years sector; do we follow the path of more literacy, numeracy and intervention, or that of emotional health and wellbeing? Are the two mutually exclusive?
Using technology to find out about the world
Authors: Hewson Claire
Published: June 2021

Each day technology helps us to build more knowledge, from laboratory equipment to search engines. As children are growing up in a digital age it is vital to incorporate technology as part of their everyday discovery of the world around them.
Shade and Shadows
Authors: Hart Karen
Published: June 2021

Shade and shadows are always a fascinating concept for children, with so many learning opportunities across all areas. Here, Karen Hart focuses on the underpinning area of communication and language.
Urban ecosystems
Authors: White Hilary
Published: June 2021

Urban nature field trips, modelling controlled movements and engaging in observational behaviour…Hilary White invites us to explore micro ecosystems on our doorstep which open up so many vast learning opportunities.
Effectiveness of Semiosis for Solving the Quadratic Equation
Authors: Davis Ernest Kofi , Ali Clement Ayarebilla , Agyei Douglas Darko
Published: June 2021

The study examines the effectiveness of employing semiosis in the teaching and learning of the Quadratic Equation. The first goal is to compare results of De Saussure and Peirce models within the semiotic theory. The second goal is to determine the commonest effective semiotic objects student teachers mostly employ to solve for the roots in quadratic equations. This research method was mixed methods concurrent and adopted both quantitative and qualitative approach. The instruments for the study were teacher-made tests and interview guide structured on the likert scale. In the teacher-made tests, two sets of twenty questions were set and distributed to the respondents. The sets of questions were similar and each twenty questions were based on De Saussure and Peirce Semiotic Models. The analyses employed both quantitative and qualitative. In the quantitative analysis, three categorical independent variables were fixed on and Pierre and De Saussaure models, objects of Pierre and De Saussaure models, and diachronicity, trichronicity, categorization and quadratic equations, after satisfying normality and independent assumptions of t-test and ANOVA techniques. The qualitative analysis with ensured anonymity, confidentiality and privacy of respondents and transcribed responses from semi-structured interview guide. The results of the commonest semiotic objects improved significantly classroom interactions with Peirce model than with De Saussure model. They perceived the Peirce model as being broader, comprehensive, universal and ICT-compliant. We therefore recommended further quasi-experimental studies on semiotic objects to improve upon the use of cultural objects.
Biosorption of CR Dye in Aqueous Solution by Bacillus licheniformis SRCM 120569 Isolated from Korean Turbid Rice Wine (Makgeolli)
Authors: Kim Jinwon , Yang Hee-Jong , Ha Gwangsu , Jeong Su-Ji , Yang Hee-Gun , Jeong Ho-Jin , Park Se-Won , Jeong Do-Youn
Published: June 2021

The biosorption characteristics of SRCM 120569 biomass on anionic Congo red (CR) dye. SRCM 120569 strain isolated from Korean turbid rice wine (makgeolli) was identified by 16S rRNA sequence analysis as Bacillus licheniformis. Bacillus licheniformis SRCM 120569 (Genbank Accession No. MW819861) showed superior CR dye biosorption capacity in an aqueous solution. Maximum adsorption capacities of 61.2 and 133.1 mg/g were obtained at pH 3.41 and 0.01 g/50 mL dried cell dosage, respectively. The CR dye adsorption properties by the Bacillus licheniformis SRCM120569 strain were characterized by Fourier transform infrared spectroscopy (FT-IR), point of zero charge (pHpzc) analysis, and phylogenetic analysis. The biosorption isotherm and kinetic models are well described with the Langmuir adsorption isotherm and pseudo-second-order kinetic models.
Generalized Inference on Stress-Strength Reliability in Generalized Pareto Model
Authors: Scaria Sanju , Thomas Seemon , Jose Sibil
Published: June 2021

The article focuses on the inference of stress-strength reliability in generalized Pareto model using the generalized variable approach and bootstrap percentile method. Simulation studies are conducted to obtain expected lengths and coverage probabilities of confidence intervals constructed using the generalized variable and the bootstrap percentile methods. An example consisting of real stress-strength data is also presented for illustrative purposes.
Machine-learning-based telemetry for monitoring long-haul optical transmission impairments: methodologies and challenges [Invited]
Authors: Lun Huazhi , Liu Xiaomin , Cai Meng , Zhang Yihao , Gao Ruoxuan , Hu Weisheng , Yi Lilin , Zhuge Qunbi
Published: June 2021

Current management of optical communication systems is conservative, manual-based, and time-consuming. To improve this situation, building an intelligent closed-loop control system is becoming an active topic of the industry. One of the key techniques to achieve such a management system is physical layer impairment telemetry, with the help of which the controller can make proper instructions. However, it is challenging to implement an accurate telemetry module due to the complex mechanisms of various impairments. To overcome that, many studies have been done. In this paper, those recent studies are reviewed, and the design of telemetry is discussed systematically. We analyze metrics for evaluating system performance and mechanisms of various impairments comprehensively, which are the theoretical foundations for designing telemetry modules. We then summarize a unified workflow for designing telemetry modules based on the review of previous works. Its effectiveness is then verified by concrete use cases of our previous studies. Finally, we discuss the challenges of deploying machine-learning-based telemetry techniques in optical communication systems.
Photon conversion in thin-film lithium niobate nanowaveguides: a noise analysis
Authors: Fan Heng , Ma Zhaohui , Chen Jiayang , Li Zhan , Tang Chao , Sua Yong Meng , Huang Yuping
Published: June 2021

Wavelength transduction of single-photon signals is indispensable to
networked quantum applications, particularly those incorporating
quantum memories. Lithium niobate nanophotonic devices have
demonstrated favorable linear, nonlinear, and electro-optical
properties to deliver this crucial function while offering superior
efficiency, integrability, and scalability. Yet, their quantum noise
level—a crucial metric for any single-photon-based application—has yet
to be investigated. In this work, we report the first, to the best of
our knowledge, study with the focus on telecom to near-visible
conversion driven by a small detuned telecom pump for practical
considerations in distributed quantum processing over fiber networks.
Our results find the noise level to be on the order of

10

−
4

photons per time-frequency mode for
high conversion, allowing faithful pulsed operations. Through
carefully analyzing the origins of such noise and each’s dependence on
the pump power and wavelength detuning, we have also identified a
formula for noise suppression to

10

−
5

photons per mode. Our results assert
a viable, low-cost, and modular approach to networked quantum
processing and beyond using lithium niobate
nanophotonics.
Spatio-temporal performance in an incoherent holography lattice light-sheet microscope (IHLLS)
Authors: Potcoava Mariana , Mann Christopher , Art Jonathan , Alford Simon
Published: June 2021

We propose an Incoherent holography detection technique for lattice light-sheet (IHLLS) systems for 3D imaging without moving either the sample stage or the detection microscope objective, providing intrinsic instrumental simplicity and high accuracy when compared to the original LLS schemes. The approach is based on a modified dual-lens Fresnel Incoherent Correlation Holography technique to produce a complex hologram and to provide the focal distance needed for the hologram reconstruction. We report such an IHLLS microscope, including characterization of the sensor performance, and demonstrate a significant contrast improvement on beads and neuronal structures within a biological test sample as well as quantitative phase imaging. The IHLLS has similar or better transverse performances when compared to the LLS technique. In addition, the IHLLS allows for volume reconstruction from fewer z-galvo displacements, thus facilitating faster volume acquisition.
Asymmetric transmission for dual-circularly and linearly polarized waves based on a chiral metasurface
Authors: Han Bowen , Li Sijia , Li Zhuoyue , Huang Guoshuai , Tian Jianghao , Cao Xiangyu
Published: June 2021

We propose a chiral metasurface (CMS) that exhibits asymmetric transmission (AT) of double circularly and linearly polarized waves at the same frequency band. In order to realize the manipulation of electromagnetic (EM) waves in the whole space, the unit cell of CMS consists of three layers of dielectric substrate and four layers of metal patches. The Z-shaped chiral micro-structure and a grating-like micro-structure are proposed and designed to achieve AT. The simulated results show that the x-polarized wave that is incident along one direction can be transmitted into the right-hand circularly polarized (RHCP) wave and the left-hand circularly polarized (LHCP) wave that is incident along the opposite direction can be reflected as the LHCP wave in the frequency band of 4.69GHz-5.84 GHz. The maximum chirality response can be reflected by AT and circular dichroism (CD) and they can reach up to 0.38 and 0.75, respectively. In addition, we also produced the sample of CMS, and the experimental results are in good agreement with the simulated results.
Recurrent neural network FPGA hardware accelerator for delay-tolerant indoor optical wireless communications
Authors: Lee Jeonghun , Song Tingting , He Jiayuan , Kandeepan Sithamparanathan , Wang Ke
Published: June 2021

The optical wireless communication (OWC) system has been widely studied as a promising solution for high-speed indoor applications. The transmitter diversity scheme has been proposed to improve the performance of high-speed OWC systems. However, the transmitter diversity is vulnerable to the delay of multiple channels. Recently neural networks have been studied to realize delay-tolerant indoor OWC systems, where long-short term memory (LSTM) and attention-augmented LSTM (ALSTM) recurrent neural networks (RNNs) have shown their capabilities. However, they have high computation complexity and long computation latency. In this paper, we propose a low complexity delay-tolerant RNN scheme for indoor OWC systems. In particular, an RNN with parallelized structure is proposed to reduce the computation cost. The proposed RNN schemes show comparable capability to the more complicated ALSTM, where a bit-error-rate (BER) performance within the forward-error-correction (FEC) limit is achieved for up to 5.5 symbol periods delays. In addition, previously studied LSTM/ALSTM schemes are implemented using high-end GPUs, which have high cost, high power consumption, and long processing latency. To solve these practical limitations, in this paper we further propose and demonstrate the FPGA-based RNN hardware accelerator for delay-tolerant indoor OWC systems. To optimize the processing latency and power consumption, we also propose two optimization methods: the parallel implementation with triple-phase clocking and the stream-in based computation with additive input data insertion. Results show that the FPGA-based RNN hardware accelerator with the proposed optimization methods achieves 96.75% effective latency reduction and 90.7% lower energy consumption per symbol compared with the FPGA-based RNN hardware accelerator without optimization. Compared to the GPU implementation, the latency is reduced by about 61% and the power consumption is reduced by about 58.1%.
Fully transparent metal organic chemical vapor deposition-grown cascaded InGaN micro-light-emitting diodes with independent junction control
Authors: Li Panpan , Li Hongjian , Yao Yifan , Zhang Haojun , Lynsky Cheyenne , Qwah Kai Shek , Iza Mike , Speck James S. , Nakamura Shuji , DenBaars Steven P.
Published: June 2021

In this work, we present fully transparent metal organic chemical vapor deposition (MOCVD)-grown InGaN cascaded micro-light-emitting diodes (µLEDs) with independent junction control. The cascaded µLEDs consisted of a blue emitting diode, a tunnel junction (TJ), a green emitting diode, and a TJ, without using any conductive oxide layer. We can control the injection of carriers into blue, green, and blue/green junctions in the same device independently, which show high optical and electrical performance. The forward voltage (Vf) at 20 A/cm2 for the TJ blue µLEDs and TJ green µLEDs is 4.06 and 3.13 V, respectively. These results demonstrate the efficient TJs and fully activated p-type GaN in the cascaded µLEDs. Such demonstration shows the important application of TJs for the integration of µLEDs with multiple color emissions.
All-optical coherent pulse compression for dynamic laser ranging using an acousto-optic dual comb
Authors: Billault Vincent , Durán Vicente , Fernández-Pousa Carlos R. , Crozatier Vincent , Dolfi Daniel , de Chatellus Hugues Guillet
Published: June 2021

We demonstrate a new and simple dynamic laser ranging platform based on analog all-optical coherent pulse compression of modulated optical waveforms. The technique employs a bidirectional acousto-optic frequency shifting loop, which provides a dual-comb photonic signal with an optical bandwidth in the microwave range. This architecture simply involves a CW laser, standard telecom components and low frequency electronics, both for the dual-comb generation and for the detection. As a laser ranging system, it offers a range resolution of a few millimeters, set by a dual-comb spectral bandwidth of 24 GHz, and a precision of 20 µm for an integration time of 20 ms. The system is also shown to provide dynamic measurements at scanning rates in the acoustic range, including phase-sensitive measurements and Doppler shift velocimetry. In addition, we show that the application of perfect correlation phase sequences to the transmitted waveforms allows the ambiguity range to be extended by a factor of 10 up to ∼20 m. The system generates quasi-continuous waveforms with low peak power, which makes it possible to envision long-range telemetry or reflectometry requiring highly amplified signals.
Micromilling-assisted fabrication of monolithic polymer ridge-type waveguides with integrated photonic sensing structures
Authors: Kefer Stefan , Pape Dominik , Roth Gian-Luca , Hessler Steffen , Schmauss Bernhard , Hellmann Ralf
Published: June 2021

This study demonstrates and discusses a novel approach for the fabrication and rapid prototyping of monolithic photonic platforms comprising a ridge-type waveguide with integrated sensing structures. First, the bulk injection-molded cyclic olefin copolymer substrates are micromilled in order to define the physical extension of the ridge structure. Cross-sections down to 30 × 30 µm2, exhibiting a mean surface roughness of 300 nm, are achieved with this process. Subsequently, UV radiation is used to modify the ridge structure’s refractive index, which leads to the formation of an optical waveguide. By employing a phase mask, it is possible to equip the photonic platform with a Bragg grating suitable for temperature measurements with a sensitivity of −5.1 pm K-1. Furthermore, an integrated Fabry-Pérot cavity, generated during the micromilling step as well, enables refractive index measurements with sensitivities up to 1154 nm RIU-1.
Ultrafast THz modulators with WSe2 thin films: erratum
Authors: Gopalan Prashanth , Chanana Ashish , Krishnamoorthy Sriram , Nahata Ajay , Scarpulla Michael A. , Sensale-Rodriguez Berardi
Published: June 2021

We correct three labeling errors, one in Fig. 4(a), and the other two in Section 3.2 of the manuscript text [Opt. Mater. Express 9, 826 (2019)10.1364/OME.9.000826].
Nonlinear Fourier transform enabled eigenvalue spectrum investigation for fiber laser radiation
Authors: Wang Yutian , Fu Songnian , Kong Jian , Komarov Andrey , Klimczak Mariusz , Buczyński Ryszard , Tang Xiahui , Tang Ming , Qin Yuwen , Zhao Luming
Published: June 2021

Fiber lasers are a paradigm of dissipative systems, which distinguish themselves from a Hamilton system where energy is conservative. Consequently, pulses generated in a fiber laser are always accompanied by the continuous wave (CW). Under certain hypothesis, pulses generated in a fiber laser can be considered as a soliton, a product of a Hamilton system. Therefore, all the descriptions of solitons of a fiber laser are approximate. Coexistence of solitons and the CW from a fiber laser prevents unveiling of real nonlinear dynamics in fiber lasers, such as soliton interactions. Pulse behavior in a fiber laser can be represented by the state of single pulse, the state of period doubling of single pulse, the states of two pulses either tightly bound or loosely distributed, the states of three pulses, and various combinations of the above-mentioned states. Recently, soliton distillation was proposed and numerically demonstrated based on the nonlinear Fourier transform (NFT) [J. Lightwave Technol. 39, 2542 (2021)JLTEDG0733-872410.1109/JLT.2021.3051036]. Solitons can be separated from the coherent CW background. Therefore, it is feasible to isolate solitons from CW background in a fiber laser. Here, we applied the NFT to various pulses generated in a fiber laser, including single pulse, single pulse in period doubling, different double pulses, and multiple pulses. Furthermore, with the approach of soliton distillation, the corresponding pure solitons of those pulses are reconstructed. Simulation results suggest that the NFT can be used to identify soliton dynamics excluding CW influence in a fiber laser, which paves a new way for uncovering real soliton interaction in nonlinear systems.
Manipulation of blue TADF top-emission OLEDs by the first-order optical cavity design: toward a highly pure blue emission and balanced charge transport
Authors: Ren Wanqi , Son Kyung Rock , Park Tae Hoon , Murugadoss Vignesh , Kim Tae Geun
Published: June 2021

The broad luminescence spectrum of a thermally activated delayed fluorescence (TADF) organic light-emitting diode (OLED) is a critical issue to overcome for its application in high-color-purity displays. Herein, a novel device structure that utilizes the first-order microcavity optical mode with a high radiance intensity is demonstrated to solve this problem by considering the charge transport properties through the analysis of hole-only and electron-only devices. In addition, by tuning the optical interference near the semitransparent top cathode layers consisting of thin silver and organic capping layers, light extraction is increased by nearly 2 times compared to the device without a capping layer. Consequently, the optimized blue TADF top-emission OLED exhibits much lower full width at half-maximum, higher maximum current efficiency, and external quantum efficiency compared to the device before optimization. This approach is expected to provide a simple but effective way to further enhance the spectral purity of the conventional TADF-based OLEDs.
Oral manifestations in chikungunya patients: A systematic review
Authors: Brostolin da Costa Daniela , De-Carli Alessandro Diogo , Probst Livia Fernandes , Grande Antonio José , Guerrero Ana Tereza Gomes
Published: June 2021

Background

Chikungunya fever is considered an abrupt onset arbovirus transmitted by mosquitoes, mainly Aedes aegypti and Aedes albopictus. The disease has a significant impact on the quality of life of affected persons, and many of its numerous symptoms have not yet been properly clarified, such as the manifestations that can occur in the oral cavity. The aim of this study was to identify the main oral manifestations related to chikungunya fever, as well as describe the demographic characteristics of patients, by conducting a systematic review of the literature.

Methods and findings

Searches were performed in MEDLINE (PubMed), Embase (Elsevier), LILACS (VHL), Cochrane Library, Scopus, and CAPES electronic databases for theses and dissertations published up to January 16, 2021 without language and date restrictions. Additional manual searches of gray literature, reference list, and Google Scholar were carried out. We included 27 studies highlighting mainly oral manifestations that cause masticatory discomfort such as ulcers and oral thrush, gingival bleeding, pain and burning of the oral mucous membranes, temporomandibular joint (TMJ) arthralgia, opportunistic infections, and changes in taste.

Conclusions

There seems to be a predominance of oral manifestations that cause discomfort when chewing, such as ulcerations in the acute phase of the disease, with complete remission within 3 to 10 days after the onset, apparently mostly affecting women and older persons. These oral manifestations can be compatible with basic viral infections related to inflammatory response and transitory immunosuppression.
Stay-at-home orders associate with subsequent decreases in COVID-19 cases and fatalities in the United States
Authors: Fowler James H. , Hill Seth J. , Levin Remy , Obradovich Nick
Published: June 2021

Governments issue “stay-at-home” orders to reduce the spread of contagious diseases, but the magnitude of such orders’ effectiveness remains uncertain. In the United States these orders were not coordinated at the national level during the coronavirus disease 2019 (COVID-19) pandemic, which creates an opportunity to use spatial and temporal variation to measure the policies’ effect. Here, we combine data on the timing of stay-at-home orders with daily confirmed COVID-19 cases and fatalities at the county level during the first seven weeks of the outbreak in the United States. We estimate the association between stay-at-home orders and alterations in COVID-19 cases and fatalities using a difference-in-differences design that accounts for unmeasured local variation in factors like health systems and demographics and for unmeasured temporal variation in factors like national mitigation actions and access to tests. Compared to counties that did not implement stay-at-home orders, the results show that the orders are associated with a 30.2 percent (11.0 to 45.2) average reduction in weekly incident cases after one week, a 40.0 percent (23.4 to 53.0) reduction after two weeks, and a 48.6 percent (31.1 to 61.7) reduction after three weeks. Stay-at-home orders are also associated with a 59.8 percent (18.3 to 80.2) average reduction in weekly fatalities after three weeks. These results suggest that stay-at-home orders might have reduced confirmed cases by 390,000 (170,000 to 680,000) and fatalities by 41,000 (27,000 to 59,000) within the first three weeks in localities that implemented stay-at-home orders.
Implementing organicity investigations in early psychosis: Spreading expertise
Authors: Kurukgy Jean-Luc , Bourgin Julie , Benoit Jean-Pierre , Guessoum Sélim Benjamin , Benoit Laelia
Published: June 2021

Background

Many medical disorders may contribute to adolescent psychoses. Although guidelines for thorough organicity investigations (OI) exist, their dissemination appears scarce in nonacademic healthcare facilities and some rare disorders remain undiagnosed, many of them presenting without easily recognized phenotypes. This study aims to understand the challenges underlying the implementation of OI in non-academic facilities by practitioners trained in expert centers.

Methods

Sixteen psychiatrists working at French non-academic facilities were interviewed about their use of OI for adolescents suspected of early psychosis. Interviews were analyzed with Grounded Theory.

Results

Organicity investigations were found to be useful in rationalizing psychiatric care for the young patient all the while building trust between the doctor and the patient’s parents. They also are reassuring for psychiatrists confronted with uncertainty about psychosis onset and the consequences of a psychiatric label. However, they commonly find themselves facing the challenges of implementation alone and thus enter a renunciation pathway: from idealistic missionaries, they become torn between their professional ethics and the non-academic work culture. Ultimately, they abandon the use of OI or delegate it to expert centers.

Conclusion

Specific hindrances to OI implementation must be addressed.
De novo activated transcription of inserted foreign coding sequences is inheritable in the plant genome
Authors: Hata Takayuki , Takada Naoto , Hayakawa Chihiro , Kazama Mei , Uchikoba Tomohiro , Tachikawa Makoto , Matsuo Mitsuhiro , Satoh Soichirou , Obokata Junichi
Published: June 2021

The manner in which inserted foreign coding sequences become transcriptionally activated and fixed in the plant genome is poorly understood. To examine such processes of gene evolution, we performed an artificial evolutionary experiment in Arabidopsis thaliana. As a model of gene-birth events, we introduced a promoterless coding sequence of the firefly luciferase (LUC) gene and established 386 T2-generation transgenic lines. Among them, we determined the individual LUC insertion loci in 76 lines and found that one-third of them were transcribed de novo even in the intergenic or inherently unexpressed regions. In the transcribed lines, transcription-related chromatin marks were detected across the newly activated transcribed regions. These results agreed with our previous findings in A. thaliana cultured cells under a similar experimental scheme. A comparison of the results of the T2-plant and cultured cell experiments revealed that the de novo-activated transcription concomitant with local chromatin remodelling was inheritable. During one-generation inheritance, it seems likely that the transcription activities of the LUC inserts trapped by the endogenous genes/transcripts became stronger, while those of de novo transcription in the intergenic/untranscribed regions became weaker. These findings may offer a clue for the elucidation of the mechanism by which inserted foreign coding sequences become transcriptionally activated and fixed in the plant genome.
Corona Virus Disease-19 serology, inflammatory markers, hospitalizations, case finding, and aging
Authors: Schaefer Ernst J. , Dulipsingh Latha , Comite Florence , Jimison Jessica , Grajower Martin M. , Lebowitz Nathan E. , Lang Maxine , Geller Andrew S. , Diffenderfer Margaret R. , He Lihong , Breton Gary , Dansinger Michael L. , Saida Ben , Yuan Chong
Published: June 2021

Most deaths from severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection occur in older subjects. We assessed the utility of serum inflammatory markers interleukin-6 (IL-6), C reactive protein (CRP), and ferritin (Roche, Indianapolis, IN), and SARS-CoV-2 immunoglobulin G (IgG), immunoglobulin M (IgM), and neutralizing antibodies (Diazyme, Poway, CA). In controls, non-hospitalized subjects, and hospitalized subjects assessed for SARS-CoV-2 RNA (n = 278), median IgG levels in arbitrary units (AU)/mL were 0.05 in negative subjects, 14.83 in positive outpatients, and 30.61 in positive hospitalized patients (P<0.0001). Neutralizing antibody levels correlated significantly with IgG (r = 0.875; P<0.0001). Having combined values of IL-6 ≥10 pg/mL and CRP ≥10 mg/L occurred in 97.7% of inpatients versus 1.8% of outpatients (odds ratio 3,861, C statistic 0.976, P = 1.00 x 10−12). Antibody or ferritin levels did not add significantly to predicting hospitalization. Antibody testing in family members and contacts of SARS-CoV-2 RNA positive cases (n = 759) was invaluable for case finding. Persistent IgM levels were associated with chronic COVID-19 symptoms. In 81,624 screened subjects, IgG levels were positive (≥1.0 AU/mL) in 5.21%, while IgM levels were positive in 2.96% of subjects. In positive subjects median IgG levels in AU/mL were 3.14 if <30 years of age, 4.38 if 30–44 years of age, 7.89 if 45–54 years of age, 9.52 if 55–64 years of age, and 10.64 if ≥65 years of age (P = 2.96 x 10−38). Our data indicate that: 1) combined IL-6 ≥10 pg/mL and CRP ≥10 mg/L identify SARS-CoV-2 positive subjects requiring hospitalization; 2) IgG levels were significantly correlated with neutralizing antibody levels with a wide range of responses; 3) IgG levels have significant utility for case finding in exposed subjects; 4) persistently elevated IgM levels are associated with chronic symptoms; and 5) IgG levels are significantly higher in positive older subjects than their younger counterparts.
The burden of drug resistance tuberculosis in Ghana; results of the First National Survey
Authors: Sylverken Augustina Angelina , Kwarteng Alexander , Twumasi-Ankrah Sampson , Owusu Michael , Arthur Rejoice Agyeiwaa , Dumevi Rexford Mawunyo , Adu-Amoah Louis , Addofoh Nicholas , Okyere Portia Boakye , Dzata Francisca , Bonsu Frank , Adusi-Poku Yaw , Kranzer Katharina , Siroka Andrew , Gemert Wayne van , Dean Anna , Owusu-Dabo Ellis
Published: June 2021

Resistance to Tuberculosis drugs has become a major threat to the control of tuberculosis (TB) globally. We conducted the first nation-wide drug resistance survey to investigate the level and pattern of resistance to first-line TB drugs among newly and previously treated sputum smear-positive TB cases. We also evaluated associations between potential risk factors and TB drug resistance. Using the World Health Organization (WHO) guidelines on conducting national TB surveys, we selected study participants from 33 health facilities from across the country, grouped into 29 clusters, and included them into the survey. Between April 2016 and June 2017, a total of 927 patients (859 new and 68 previously treated) were enrolled in the survey. Mycobacterium tuberculosis complex (MTBC) isolates were successfully cultured from 598 (65.5%) patient samples and underwent DST, 550 from newly diagnosed and 48 from previously treated patients. The proportion of patients who showed resistance to any of the TB drugs tested was 25.2% (95% CI; 21.8–28.9). The most frequent resistance was to Streptomycin (STR) (12.3%), followed by Isoniazid (INH) (10.4%), with Rifampicin (RIF), showing the least resistance of 2.4%. Resistance to Isoniazid and Rifampicin (multi-drug resistance) was found in 19 (3.2%; 95% CI: 1.9–4.9) isolates. Prevalence of multidrug resistance was 7 (1.3%; 95% CI: 0.5–2.6) among newly diagnosed and 12 (25.0%; 95% CI: 13.6–39.6) among previously treated patients. At both univariate and multivariate analysis, MDR-TB was positively associated with previous history of TB treatment (OR = 5.09, 95% CI: 1.75–14.75, p = 0.003); (OR = 5.41, 95% CI: 1.69–17.30, p = 0.004). The higher levels of MDR-TB and overall resistance to any TB drug among previously treated patients raises concerns about adherence to treatment. This calls for strengthening existing TB programme measures to ensure a system for adequately testing and monitoring TB drug resistance.
Main characteristics of dermatoglypics associated with schizophrenia and its clinical subtypes
Authors: Norovsambuu Oyunchimeg , Tsend-Ayush Altansukh , Lkhagvasuren Nasantsengel , Jav Sarantuya
Published: June 2021

Dermatoglypic patterns are extensively investigated to apply in disease-related risk assessment due to an obvious association between morphological and genetic characteristics. In the current study, we aimed to determine whether the fingerprint and palmar patterns vary between case population with schizophrenia and general population. A cross sectional study was conducted in people diagnosed with schizophrenia (cases) and a control population between 2016 and 2019. In this study, 252 people were participated. Ink and paper method was used to evaluate the difference of fingerprints palm prints between patients with schizophrenia and participants in control group.93 participants were analyzed in schizophrenic group and 142 participants were investigated in the control group. The percentage of arches on the right ring finger was significantly different between the schizophrenic patient group and control group (p = 0.011). The whorl pattern type (U-W-U-W-W-W-W-U-W-U) was dominantly observed in both of the schizophrenic patient group and control group. A-B ridge count in schizophrenic patient group and control group produced a markedly significant difference (p<0.05). Interestingly, a strong significant difference was produced in comparing of A-B ridge count in catatonic schizophrenia group with residual schizophrenia group (p<0.005). In comparison, index of pattern intensity in control group was slightly higher than that in schizophrenic patient group. Taking together, these results showed that the dermatoglypic characteristics might be a valuable tool to describe the nature of schizophrenia and its clinical subtypes and further studies are needed in clinical application.
A mechanistic model of methane emission from animal slurry with a focus on microbial groups
Authors: Dalby Frederik R. , Hafner Sasha D. , Petersen Søren O. , Vanderzaag Andrew , Habtewold Jemaneh , Dunfield Kari , Chantigny Martin H. , Sommer Sven G.
Published: June 2021

Liquid manure (slurry) from livestock releases methane (CH4) that contributes significantly to global warming. Existing models for slurry CH4production—used for mitigation and inventories—include effects of organic matter loading, temperature, and retention time but cannot predict important effects of management, or adequately capture essential temperature-driven dynamics. Here we present a new model that includes multiple methanogenic groups whose relative abundance shifts in response to changes in temperature or other environmental conditions. By default, the temperature responses of five groups correspond to those of four methanogenic species and one uncultured methanogen, although any number of groups could be defined. We argue that this simple mechanistic approach is able to describe both short- and long-term responses to temperature where other existing approaches fall short. The model is available in the open-source R package ABM (https://github.com/sashahafner/ABM) as a single flexible function that can include effects of slurry management (e.g., removal frequency and treatment methods) and changes in environmental conditions over time. Model simulations suggest that the reduction of CH4emission by frequent emptying of slurry pits is due to washout of active methanogens. Application of the model to represent a full-scale slurry storage tank showed it can reproduce important trends, including a delayed response to temperature changes. However, the magnitude of predicted emission is uncertain, primarily as a result of sensitivity to the hydrolysis rate constant, due to a wide range in reported values. Results indicated that with additional work—particularly on the magnitude of hydrolysis rate—the model could be a tool for estimation of CH4emissions for inventories.
Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach
Authors: Eke Christopher Ifeanyi , Norman Azah Anir , Shuib Liyana
Published: June 2021

Sarcasm is the main reason behind the faulty classification of tweets. It brings a challenge in natural language processing (NLP) as it hampers the method of finding people’s actual sentiment. Various feature engineering techniques are being investigated for the automatic detection of sarcasm. However, most related techniques have always concentrated only on the content-based features in sarcastic expression, leaving the contextual information in isolation. This leads to a loss of the semantics of words in the sarcastic expression. Another drawback is the sparsity of the training data. Due to the word limit of microblog, the feature vector’s values for each sample constructed by BoW produces null features. To address the above-named problems, a Multi-feature Fusion Framework is proposed using two classification stages. The first stage classification is constructed with the lexical feature only, extracted using the BoW technique, and trained using five standard classifiers, including SVM, DT, KNN, LR, and RF, to predict the sarcastic tendency. In stage two, the constructed lexical sarcastic tendency feature is fused with eight other proposed features for modelling a context to obtain a final prediction. The effectiveness of the developed framework is tested with various experimental analysis to obtain classifiers’ performance. The evaluation shows that our constructed classification models based on the developed novel feature fusion obtained results with a precision of 0.947 using a Random Forest classifier. Finally, the obtained results were compared with the results of three baseline approaches. The comparison outcome shows the significance of the proposed framework.
Nurses’ core disaster-response competencies for combating COVID-19—A cross-sectional study
Authors: Karnjuš Igor , Prosen Mirko , Ličen Sabina
Published: June 2021

The core competencies in disaster nursing, nurses’ roles in disaster management and the potential barriers are assessed with a view to developing disaster nursing in Slovenia. Despite training and experience, many indicators show nurses are deficient in skills involving emergency and disaster-preparedness competencies. Nurses report little familiarity with disaster-planning skills, the implementation of disaster guidelines and assessment of patients subject to a disaster circumstance. A cross-sectional descriptive study was conducted based on data collected through an online survey. 118 registered nurses from different clinical settings in Slovenia participated in the study. Data were collected according to the Slovenian version of the Disaster Nursing Core Competencies Scale (Sl-DNCC-Scale). The scale was limited to a 7-point Likert response format (from 1 = strongly disagree to 7 = strongly agree). The results show the registered nurses perceive the core competencies of disaster nursing to be important to their preparedness for disaster situations (median = 161; range 74–189). Registered nurses who work in nursing homes and nurse managers are more aware of the importance of acquiring the listed competencies for unexpected events (p = 0.011 and 0.060 respectively) and the importance of their active role in disaster management (p = 0.027 and p = 0.004, respectively). To effectively deal with a disaster, nurses must be well prepared for unexpected events and more actively involved in disaster management. This study demonstrates that nurses regard the core disaster nursing competencies as important and greatly needed in various healthcare facilities. Future studies in this area should focus on ways to implement these competencies in nursing education.
The prevalence and evidence-based management of needle fear in adults with chronic disease: A scoping review
Authors: Duncanson Emily , Le Leu Richard K. , Shanahan Lisa , Macauley Luke , Bennett Paul N. , Weichula Rick , McDonald Stephen , Burke Anne L. J. , Collins Kathryn L. , Chur-Hansen Anna , Jesudason Shilpanjali
Published: June 2021

Background

Little is known about the prevalence and best management of needle fear in adults with chronic disease, who may experience frequent and long-term exposure to needles for lifesaving therapies such as renal dialysis and cancer treatment. Identifying interventions that assist in management of needle fear and associated distress is essential to support these patients with repeated needle and cannula exposure.

Method

We followed the PRISMA methodology for scoping reviews and systematically searched PsychINFO, PubMed (MEDLINE), ProQuest, Embase and grey literature and reference lists between 1989 and October 2020 for articles related to needle discomfort, distress, anxiety, fear or phobia. The following chronic diseases were included: arthritis, asthma, chronic back pain, cancer, cardiovascular disease, chronic obstructive pulmonary disease, diabetes, and mental illness, or kidney failure. Literature concerning dentistry, vaccination, intravenous drug users and paediatric populations were excluded.

Results

We identified 32 papers reporting prevalence (n = 24), management (n = 5) or both (n = 3). Needle fear prevalence varied in disease cohorts: 17–52% (cancer), 25–47% (chronic kidney disease) and 0.2–80% (diabetes). Assessment methods varied across studies. Management strategies had poor evidence-base, but included needle-specific education, decorated devices, cognitive-behavioural stress management techniques, distraction, and changing the therapy environment or modality.

Conclusion

Although needle fear is common there is a paucity of evidence regarding interventions to address it among adults living with chronic disease. This scoping review has highlighted the need for improved identification of needle fear in adults and development of interventions are required for these cohorts.
Molecular characterization of Cryptosporidium spp. from humans in Ethiopia
Authors: Hailu Ambachew W. , Degarege Abraham , Adamu Haileeyesus , Costa Damien , Villier Venceslas , Mouhajir Abdelmounaim , Favennec Loic , Razakandrainibe Romy , Petros Beyene
Published: June 2021

Data on the distribution and genotype of Cryptosporidium species is limited in Ethiopia. This study examined the presence and genetic diversity of Cryptosporidium species circulating in Ethiopian human population. Stool samples collected from patients who visited rural (n = 94) and urban (n = 93) health centers in Wurgissa and Hawassa district, respectively, were examined for the presence of Cryptosporidium spp. using microscopy, nested PCR and real-time PCR. To detect infection with PCR, analysis of 18S ribosomal RNA was performed. Subtyping was performed by sequencing a fragment of GP60 gene. The overall prevalence of infection was 46% (n = 86) by microscope and PCR. When 48 (out of 86) PCR positive samples were genotyped, two species were identified: C. parvum (n = 40) and C. hominis (n = 8). When 15 of the 40 C. parvum isolates were subtyped, zoonotic subtypes of IIaA14G1R1 (n = 1), IIaA15G2R1 (n = 1), IIaA16G1R1 (n = 2), IIaA16G3R1 (n = 2), IIaA17G1R1 (n = 1), IIaA19G1R1 (n = 1), IIaA20G1R1 (n = 3), IIaA22G1R1 (n = 1), IIaA22G2R1 (n = 1), IIdA23G1 (n = 1) and IIdA24G1 (n = 1) were identified. When 6 of the 8 C. hominis isolates were subtyped, subtypes IaA20 (n = 5), and IdA21(n = 1) were identified. This study suggests that C. parvum and C. hominis are causes of cryptosporidiosis in human in the Wurgissa district and Hawassa in Ethiopia. Zoonotic transmission might be the main route of transmission.
P300-mediated NEDD4 acetylation drives ebolavirus VP40 egress by enhancing NEDD4 ligase activity
Authors: Zhang Linliang , Zhou Shixiong , Chen Majuan , Yan Jie , Yang Yi , Wu Linjuan , Jin Dongning , Yin Lei , Chen Mingzhou , Qin Yali
Published: June 2021

The final stage of Ebola virus (EBOV) replication is budding from host cells, where the matrix protein VP40 is essential for driving this process. Many post-translational modifications such as ubiquitination are involved in VP40 egress, but acetylation has not been studied yet. Here, we characterize NEDD4 is acetylated at a conserved Lys667 mediated by the acetyltransferase P300 which drives VP40 egress process. Importantly, P300-mediated NEDD4 acetylation promotes NEDD4-VP40 interaction which enhances NEDD4 E3 ligase activity and is essential for the activation of VP40 ubiquitination and subsequent egress. Finally, we find that Zaire ebolavirus production is dramatically reduced in P300 knockout cell lines, suggesting that P300-mediated NEDD4 acetylation may have a physiological effect on Ebola virus life cycle. Thus, our study identifies an acetylation-dependent regulatory mechanism that governs VP40 ubiquitination and provides insights into how acetylation controls EBOV VP40 egress.