bluuebunny/crossref_metadata_2025 huggingface dataset:
The COVID-19 Pandemic Response and Its Impact on Post-corona Health Emergency and Disaster Risk Management in Türkiye
Authors: Erbay Hasan
Published: October 2023

The COVID-19 pandemic, which has affected the entire world, has not only created a number of emerging issues for each country, especially in the field of public health, but has also provided a number of opportunities for risk management, alternative strategies and completely new ways of looking at challenges. This paper examines the COVID-19 pandemic response in Türkiye and the possible implications of the experience for future responses to other health emergencies and disaster risk management, based on the lessons learned. This study uses publicly available literature from government, private sector, and academic sources to analyse the conflicts, changes and lessons learned during the COVID-19 pandemic, which are components of the World Health Organization (WHO) Health Emergency and Disaster Risk Management (Health EDRM) framework. The COVID-19 experience in Türkiye has several aspects, including the significant role of healthcare workers, the existence of an effective health system accustomed to emergencies, applications based on information technologies, partial transparency of public authorities in providing information, and socio-cultural environment related to cooperation on prevention strategies, including wearing masks and vaccination. Challenges in Türkiye include distance learning in schools, lockdowns that particularly affect the elderly, ensuring environmental sustainability, hesitation about the effectiveness of social/financial support programmes, socio-cultural trivialisation of pandemics after a while, and relaxation of prevention strategies. Lessons learned from the COVID-19 pandemic include the value of transparency in public health/healthcare information, the strengthening of all aspects of the health system in terms of health workers, and the importance of a balanced economy prepared for foreseeable risks.
Optimizing Pearl Millet-Groundnut Cropping System in the Sahelian Zone of Niger
Authors: Maman Nouri , Mason Stephen C
Published: October 2023

Abstract:

A two-year study of pearl millet-groundnut cropping systems across two fertilizer levels was conducted at the INRAN/TARNA research station in Maradi, Niger in the Sahelian zone of West Africa. The objective of this study was to identify the best cropping system with and without fertilizer application to optimize pearl millet and groundnut yields, land use efficiency, and economics as measured by value-to-cost ratio. The experiment was conducted with three replications, and ten treatments combination of five pearl millet and groundnut cropping systems (pearl millet and groundnut sole crops, and three pearl millet – groundnut intercrops), and two fertilizer levels. Sole cropping produced the highest pearl millet grain by over 300 kg ha-1 and groundnut pod yields by over 500 kg ha-1, but all the intercropping systems had a LER above 1.0 with land use efficiency increased by 19 to 41%, also intercropping increased diversity, and reduced risk. Fertilizer application increased yields in all cropping systems by 200 to 600 kg ha-1. Government subsidy increased the value-to-cost ratio by 0.5 to 2, 5 units, and was required for economic response for pearl millet sole and intercrops in 2022. The groundnut sole cropping system had the greatest economic response to fertilizer application. Based on the risky environment and multiple end uses needed by producers, the intercrop system M-G: 1:3:1 with fertilizer application is usually the best option to optimize pearl millet and groundnut production.
Correlation between Element and Radionuclide Activity Concentrations in Soil and Beech Forests Growth Potential
Authors: Štrbac Snežana , Kašanin-Grubin Milica , Mihaljev Željko , Stojić Nataša , Pucarević Mira , Živanović Nikola , Tognetti Roberto
Published: October 2023

(1) Background: The main objective of this study was to determine the correlation between element and radionuclide activity concentrations and the growth potential of trees across European mountain beech forests; (2) Methods: As, Cd, Co, Cu, Ni, Pb, and Zn were determined using inductively coupled plasma–optical emission spectrometry (ICP/OES). Mercury was determined by Direct Mercury Analyzer DMA 80 Milestone. The Cr, Rb, Sr, Y, Zr, Sn, Ba, and W were determined by Spectro Xepos Energy Dispersive X-ray fluorescence spectrometry (EDXRF). Gamma spectrometry measurements of 22Na, 40K, 232Th, 226Ra, 238U, 235U, and 137Cs were performed using a coaxial High-Purity Germanium (HPGe) detector; (3) Results: The median values of As for the upper and deeper soil horizon were lower, Ni, Pb, Rb, Sr, Y, Zr, Sn, and W were in the range, while the values of Cd, Co, Cr, Cu, Zn, Hg, and Ba were higher than median values given in the Geochemical Atlas of Europe (GAE) for the upper and deeper soil horizon. The radionuclide activity concentrations varied in approximately the same ranges. The production potential of forest trees ranged from 5262.67 for cambisol and umbrisol soil types on granite and limestone parent materials to 24490.78 for umbrisol and rendzina soil types on granite and dolomite parent materials; (4) Conclusions: Parent material had a significant role in the productivity of European mountain beech forests.
Monitoring Mean of INAR(1) Process with Discrete Mixture Exponential Innovations
Authors: Irshad Muhammed Rasheed , Ahammed Muhammed , Maya Radhakumari
Published: October 2023

This paper presents a new discrete counterpart of the mixture exponential distribution by utilizing the survival discretization method. The moment-generating function and associated moment measures are discussed. The distribution’s hazard rate function can assume increasing or decreasing forms, making it adaptable for diverse fields requiring count data modelling. The paper explores four distinct parameter estimation methods and assesses their performance through Monte Carlo simulations. The applicability of this distribution extends to time series analysis, particularly within the framework of the
first-order integer-valued autoregressive process. Additionally, the paper explores quality control applications, addressing serial dependence challenges in count data encountered in production and market management. The performance of two distinct control charts, the cumulative sum chart and the exponentially weighted moving average chart, is evaluated for their effectiveness in detecting shifts in the process means under various models. A bivariate Markov chain approach is used to estimate the average run lengths of these charts, offering valuable insights for implementation. Design recommendations for achieving robustness in-control chart applications are provided. The effectiveness of the proposed models and charts is illustrated using a real data, demonstrating their practical superiority.
Research on the Digital Twin System of the Centring Process for High-Precision Lens
Authors: Chen Zexiang , Li Yanyan , Ma GuanNan , Wang YaMan , Qin BoTao
Published: October 2023

In the manufacturing of optical lenses, the lack of digital monitoring and inspection for centring processing not only results in product consistency not being guaranteed but also leads to inefficiency in processing. A centring processing digital twin system is proposed to address the problems of low virtual visualization and insufficient monitoring capability of centring processing of high-precision optical components. The layered architecture of the system is determined based on the five-dimensional model of the digital twin, coupled with a dimension-driven geometric model and a physical model that integrates data and turning mechanisms to improve the fidelity and interactivity of the virtual model of the centring lathe. The fusion of heterogeneous data from multiple sources in the centring machining process at the semantic and physical levels is realized by using an information model and an OPC UA-based data interaction method. The VMD-GRU method based on feature fusion is used to monitor the key components of the centring lathe. Finally, the feasibility and effectiveness of the proposed method are verified by a case study of the development of a digital twin system for centring lathe, which provides a reference for the digitization and intelligence of the machining process of high-precision optical components.
A Note on the Solar Neutrino Problem
Authors: Apostol M.
Published: October 2023

The coupled Dirac equations for solar e- and μ-neutrinos are solved

in the presence of a small uniform interaction of the e-neutrinos with

matter (the Sun). It is shown that the interaction leads to an increase

of the amplitude of the neutrinos oscillations and a decrease of the lo-

calization probability of the e-neutrinos. However, the strength of this

interaction is insufficient to explain the magnitude of the discrepancy

between the solar neutrino flux and the neutrino flux measured on the

Earth. An alternative interpretation related to a possible superfluid

neutrino state is advanced, which may throw some light on the solar

neutrino problem.
Diagnostic Accuracy of Multiplex PCR in Early Onset Neonatal Sepsis
Authors: Stein Anja , Soukup Daniel , Rath Peter-Michael , Felderhoff-Müser Ursula
Published: October 2023

Early onset neonatal sepsis is a significant contributor to neonatal morbidity and mortality. Although blood cultures remain the diagnostic gold standard, they detect pathogens in only a minority of suspected cases. This study compared the accuracy of blood cultures with a rapid multiplex PCR test. Newborns at risk for neonatal sepsis were prospectively screened as recommended per national guidelines. Evaluations included laboratory parameters (CrP, IL6, differential blood count), blood culture, and a molecular multiplex PCR test (ROCHE LightCycler SeptiFast) identifying 20 common microbial agents. Blood samples were taken simultaneously from umbilical cord or venous sources on the first day of life. Of 229 infants included, 69% were born preterm. Blood culture and multiplex PCR sensitivity were 7.4% and 11.1% respectively. Specificity, negative and positive predictive values between methods showed no significant variance, though multiplex PCR had more false positives due to contamination. The limited sensitivity of blood cultures for early onset neonatal sepsis is concerning. Despite quicker results, multiplex PCR does not enhance diagnostic accuracy or antibiotic therapy guidance, thus it can not be recommended for this indication.
The Interaction between SARS-CoV-2 Nucleocapsid Protein and UBC9 Inhibits MAVS Ubiquitination by Enhancing Its SUMOylation
Authors: Congcong Huang , Yin Yiping , Pan Pan , Huang Yanping , Chen Siwei , Chen Junkai , Wang Ju , Xu Guoqing , Tao Xuan , Xiao Xiao , Li Jian , Yang Jing , Jin Zhixiong , Li Bei , Tong ZhaoHui , Du Weixing , Liu Long , Liu Zhixin
Published: October 2023

Severe COVID-19 patients show impaired IFN-I response due to decreased IFN-β production, allowing persistent viral load and exacerbated inflammation. The SARS-CoV-2 nucleocapsid protein has been implicated in inhibiting IFN-I response through interfering with IFN-I signaling. This study reveals that SARS-CoV-2 nucleocapsid protein enhances interaction between human SUMO-conjugating enzyme UBC9 and MAVS. Increased MAVS-UBC9 interaction leads to enhanced SUMOylation of MAVS, inhibiting its ubiquitination, resulting in the inhibition of phosphorylation events involving IKKα, TBK1, and IRF3, disrupting IFN-I signaling. These results provide essential insights into the intricate regulation of the host's innate immunity during SARS-COV-2 invasion. Understanding these complex molecular mechanisms is crucial in developing effective therapeutic interventions against COVID-19 and potential future viral outbreaks.
Exploring the Potential of Using Marine-Derived Ingredients: From the Extraction to Cutting-Edge Cosmetics
Authors: Costa João Pedro , Custódio Luisa , Reis Catarina Pinto
Published: October 2023

The cosmetic industry has a history of constant modernization, with products that are increasingly sustainable and well tolerated by the customers. In the last years, the growing understanding and knowledge of the potential of marine species, as well as the application of “blue biotechnology” have been motivating new innovative solutions in this area. Marine organisms are important sources of compounds that may be applicable in cosmetics, with biological activities that include depigmentant, anti-aging or anti-bacterial properties, specifically against acne, but also as formulation promoters and facilitators. Several methods can be used to extract these molecules, but these are not free of challenges and implications – possible biological and chemical contamination, and problems with batch reproducibility, which can be associated to the intraspecific variability of the different specimens, should be considered. Alongside these, the legislative and normative framework is increasingly developed and there is a growing concern with this situation. The application of sustainability fundamentals in the production of cosmetics must respect a life cycle approach, critically analyzing each stage. In this sense, “blue biotechnology”, in constant evolution, together with the use of invasive species or marine waste products to obtain new active ingredients, emerge as innovative and sustainable solutions for the future’s cosmetics industry. This review explores various biological properties of marine-derived molecules and discusses the challenges and implications associated with extracting these compounds. It also examines recent advancements in 'blue biotechnology' and their relevance to the sustainable development of innovative cosmetics.
Identification of Pre-emptive Biosecurity Zone Areas for Highly Pathogenic Avian Influenza Based on Machine Learning-Driven Risk Analysis
Authors: Jeon Kwang Myung , Jung Jinwoo , Lee Chang-Min , Yoo Dae Sung
Published: October 2023

Over the last decade, highly pathogenic avian influenza (HPAI) has severely affected poultry production systems across the globe. In particular, massive pre-emptive depopulation of all poultry within the certain distance has raised concerns regarding animal welfare and food security. Thus, alternative approaches to reducing unnecessary depopulation, such as risk-based depopulation, are highly demanded. This paper proposes a data-driven method to generate a rule table and risk score for each farm to identify preventive measures against HPAI. To evaluate the proposed method, 105 cases of HPAI occurring in a total of 381 farms in Jeollanam-do from 2014 to 2023 were evaluated. The accuracy of preventive measure identification was assessed for each case using both the conventional culling method and the proposed data-driven method. The evaluation showed that the proposed method achieved an accuracy of 84.19%, significantly surpassing the previous 10.37%. The result was attributed to the proposed method reducing the false-positive rate by 83.61% compared with the conventional method, thereby enhancing the reliability of identification. The proposed method is expected to be utilized in selecting farms for monitoring and management of HPAI.
The Role of Digitalization to Achieve Resiliency During Supply Chain Disruptions: Lessons from the Experiences of Family-Owned Austrian Firms During the Covid Pandemic
Authors: Khazanchi Deepak , Bernsteiner Reinhardt
Published: October 2023

The Covid-19 pandemic strained global supply chains, and companies faced numerous produc-tion, logistics, or material management problems. It is claimed that the digitalization of supply chains can have the potential to make supply chains more resilient to interruptions and disrup-tions. This article focuses on describing the experiences of three large Austrian family-owned business during the supply chain disruptions caused by the pandemic and the Ukraine war. This assessment is done from the perspective of the supply chain leaders in the organization. We provide insights on what worked and what did not for these firms and what we can take away from their experiences.
СLINICAL AND LABORATORY CHARACTERISTICS OF FEMALE PATIENTS OF OUTPATIENT LIPIDOLOGIST
Authors:   City Clinical Hospital No. 7, Kazan, KIM ZULFIYA F. , GALYVICH ALBERT S. ,   Kazan State Medical University, SADYKOVA DINARA I. ,   Kazan State Medical University, NURIEVA LUIZA M. ,   City Clinical Hospital No. 7, Kazan
Published: October 2023

Introduction. Lipid metabolism disorders are one of the most important factors contributing significantly to the probability of developing cardiovascular diseases, death from coronary heart disease and mortality of the population. Aim. To identify the features of anamnestic, clinical and laboratory parameters in female patients of the lipid cabinet and to determine the frequency of detection of familial hypercholesterolemia in them. Material and methods. The study included 777 female patients of the outpatient appointment of a doctor of the lipid cabinet. The examination of patients with dyslipidemia included an examination by a cardiologist-lipidologist (with the calculation of the risk of cardiovascular complications on the Systemic COronary Risk Evaluation scale, the probability of familial hypercholesterolemia on the British Simon Broom scale and the criteria of the Dutch lipid clinics. Results and discussion. The total number of 777 patients were 63% of the total number of patients in the lipid cabinet; aged 19-90 years old, average age 58.49±9.48. The average level of total cholesterol was 7.74±1.98 mmol/l, low-density lipoprotein cholesterol 4.84±1.4 mmol/l, high-density lipoprotein cholesterol 1.46±0.44 mmol/l, triglycerides 1.61±1.42 mmol/l, non-high-density lipoprotein cholesterol 6.32±1.97 mmol/l. In 23% of patients, lipid metabolism disorders are secondary. Atherosclerosis of brachiocephalic arteries was diagnosed in 68.4% of patients, hypertension was in 41.4%. 15.1% of patients were diagnosed with atherosclerotic cardiovascular disease. Conclusions. The most significant for the development of atherosclerotic cardiovascular disease in women with lipid metabolism disorders were body mass index, burdened family history, duration of menopause and level of physical activity. Smoking, diabetes mellitus, hypertension, external signs of dyslipidemia were not associated with atherosclerotic cardiovascular diseases.
Moderating effect of audit quality: the case of political connection, executive compensation and tax aggressiveness
Authors: Sihono Agus , Munandar Agus
Published: October 2023

The study examines the moderating effect of audit quality on relationship between political connection, executive compensation on tax aggressive. The secondary data used for this study in the form of financial statements of 56 financial sector firms listed on Indonesian stock exchange from 2018 to 2021. Moderated Regression Analysis used for analyzed data. Result indicate, that political connection positively affected tax aggressive. These result support the view of grabbing hand theory, where a bureaucrat who occupies a position in the company will be controlled by the corporation because they get welfare. Furthermore, we find that executive compensation negatively affected tax aggressive. The result of moderation analysis show that audit quality can weaken the relationship of executive compensation on tax aggressive. These findings of this research suggest that audit quality is an effective corporate governance mechanism, thereby protecting users against the opportunism and fraud by managers. This show that corporate governance is able to mitigating information asymmetry that exist in the relation between agent and principals.
Does corporate governance and profitability effect on corporate social responsibility disclosure?
Authors: Suryandari Ni Nyoman Ayu , Susandya Anak Agung Putu Gede Bagus Arie
Published: October 2023

Trust has a role in establishing successful business relationships, companies must be able to meet the needs of stakeholders. So that corporate governance mechanisms are needed. The CSR disclosure is a form of corporate responsibility to the community and the environmental aspect. Corporate governance in this study is examined in four separate variables, namely the tenure of directors, board size, independent commissioners, and managerial ownership. This study also analyzes the effect the profitability in increasing CSR disclosure level. The sample is 54 observation collected from companies listed on the IDX using the purposive sampling method. Multiple linear regression analysis is used. The results prove that board size, independent commissioners and profitability are able to increase the company's motivation to disclose CSR. While the tenure of directors and managerial ownership are not able to motivate in disclosing CSR. For further research, is expected to examine the characteristics of audit committees, institutional ownership and the number of audit committee meetings.
The antecedents and consequences of digital competence: How to support the performance of organizations
Authors: Farah Indina , Suseno Bambang Dwi , Suadma Udin
Published: October 2023

This study investigates the role of digital competence as a mediator of the relationship between self-efficacy and self-esteem to improve the organizational performance. Performance is the focus that we want to examine and find solutions to, considering that only three of the nine Civil Service Police Units have received very good SAKIP. Four good categories and one insufficient category. This study uses a quantitative approach through structural equation modeling partial least squares (SEM-PLS) analysis. The population of this research is structural officials of echelon 2, 3, 4 and functional officials, they obtained a sample of 107 people. Exogenous variables in this study are self-efficacy, self-esteem, digital competence, and organizational performance as endogenous variable. The results of testing four accepted hypotheses and one rejected hypothesis. Digital competence has a mediating role in the influence of self-efficacy and self-esteem on organizational performance The research results have not succeeded in showing that self-efficacy has an effect on improving the organizational performance.
Cumhurbaşkanlığı Kararnamelerinin Yargısal Denetimi
Authors: ZOR Burç Volkan , METİN Yüksel
Published: October 2023

16 Nisan 2017 tarihli Anayasa değişikliğiyle birlikte tek başına yürütme organı olan Cumhurbaşkanı’na yasama yetkisine benzer şekilde asli ve ilk elden düzenleme yetkisini de kapsayan, Cumhurbaşkanlığı kararnamesi çıkarma yetkisi verilmiştir. Cumhurbaşkanlığı kararnamelerinin Anayasa’ya aykırılığı iddialarını inceleme yetkisi ve görevi ise diğer idari düzenlemelerden farklı olarak Anayasa Mahkemesi tarafından yerine getirilmektedir. Anayasa Mahkemesi Cumhurbaşkanlığı kararnamelerini soyut norm denetimi kapsamında hem şekil hem esas yönünden, somut norm denetimi kapsamında ise sadece esas yönünden denetleme yetkisine sahiptir. Anayasa Mahkemesi, 23 Ocak 2020 tarihinde verdiği ilk karardan başlayarak bugüne kadar toplam 43 kararda 153 ayrı hükmü incelemiş ve bunların yaklaşık olarak %40’ını iptal etmiştir. Mahkemenin verdiği kararlarda dikkat çeken bir diğer husus ise oybirliği ile verdiği kararların oyçokluğu ile verdiği kararlardan daha az sayıda olmasıdır. Bu çalışmada Cumhurbaşkanlığı kararnamelerinin hukuki niteliği, kapsamı, mahfuz alan oluşturup oluşturmadığı, normlar hiyerarşisindeki yeri gibi üzerinde tartışılan konular ve Anayasa Mahkemesi tarafından yapılan denetimin şekilleri, türleri, Mahkemenin verdiği kararların istatistiki verileri ve tespit edilen önemli kararlar incelenmiştir.
Stratigraphic Structure of the Vendian Oil and Gas Complex of the Southern Oil and Gas Regions of the Lena–Tunguska Province of the Siberian Platform
Authors: Mel’nikov N.V.
Published: October 2023

—The Vendian oil and gas complex (OGC) consists of the Vilyuchan, Nepa, and Tira stratigraphic horizons. The horizons are divided into correlation layers, stratigraphic charts are refined, cyclometric stratigraphic charts of oil and gas-bearing areas of the southern part of the Lena–Tunguska province are constructed. The lower boundary of the Vendian oil and gas complex and the base of the Vendian system are established in the Nuj zone of the Nepa–Botuoba and Irkutsk zones of the Angara–Lena oil and gas region (OGR) at the end of the pre-Vendian break in sedimentation. In the Angara–Lena OGR, the Typta Formation lies after a break both on different formations of the Baikalian system, and on the basement, and it is covered by sandstones of the Vendian Nepa horizon. The Typta Formation is assigned to the Vendian system, to the Vilyuchan horizon. In the Nepa–Botuoba OGR, a long pre-Vendian break divided the Talakan Formation into an upper Vendian and a lower Riphean parts. The name Talakan is left for the Vendian strata, the lower part is divided into three strata of the Baikalian system. The cyclometric stratigraphic scale is based on repetitions of cyclically constructed sections of horizons and their parts. Repetitions are considered as the result of oscillatory movements of the Earth, which take place at different intervals of time. The ranks of movements are planetary (40 Myr), long-period (20 Myr), and regional. In these ranks of time, nexacylites, horizons and regocyclites were formed. The horizons linked the regional and cyclometric stratigraphic scales. Breaks in the sedimentation of the Vendian OGC are divided by duration into short-term separating regocyclites, long-term separating horizons and two breaks – pre-Vendian and pre-Danilovo, the duration of which reaches 10–20 Myr.
Towards a culturally competent humanitarian assistance
Authors: Bahgat Mirette
Published: October 2023

This article examines the opportunities and challenges of integrating cultural competency into humanitarian assistance. While it is imperative for humanitarian organisations and workers to fully understand and consider ethnocultural dynamics and diversity in the communities they serve and plan their work accordingly, cultural competency is still deprioritised and overlooked when planning and implementing a humanitarian assistance response. The article goes through the evolution of cultural competency concepts and how far humanitarian assistance responses throughout the years have succeeded in working effectively in multicultural contexts, exploring their commitments to cultural competency in the face of competing priorities, limited resources, centralised decision-making, tight schedules and the urgency to deliver services at once. The challenges of integrating cultural competency into humanitarian assistance are further elaborated, and key actionable recommendations are drawn to guide organisational practice.
Arabinose dehydrogenase (AraDH) reporter enzyme assay for Haloferax volcanii
Authors: Vogel Nico , Huber Madeleine , Soppa Jörg
Published: October 2023

In H. volcanii the arabinose dehydrogenase is routinely used as a reporter enzyme. The AraDH (XacB) enzyme catalyzes the oxidation of L-arabinose to L-arabino-1,4-lactone while reducing the cofactor NAD+ or NADP+ [1]. Reduction of the preferred cofactor NADP+ to NADPH or NAD+ to NADH can be measured and quantified via increase of the extinction at 340 nm.
To enable the parallel handling of multiple samples the assay was adapted to the microtiter plate format. The “procedure” (see below) describes an application with the araDH (xacB) gene in a translational fusion with the gene of interest.
Simultaneous single-cell chromatin architecture and gene expression sequencing by LiMCA
Authors: Wu Honggui , Zhang Jiankun , Xie Xiaoliang Sunney
Published: October 2023

The concurrent measurement of chromatin organization and gene transcription within a single cell provides a unique opportunity to investigate their intricate interplay. We introduce Linking mRNA to Chromatin Architecture (LiMCA), a multi-omic assay that enables sensitive profiling of three-dimensional genome structure and gene expression at single-cell resolution with low-input samples. LiMCA employs a physical separation strategy to proceed with cytoplasm (mRNA) and nuclei, respectively, which ensures high sensitivity.
Variations in plume activity reveal the dynamics of water-filled faults on Enceladus
Authors: Souček Ondřej , Běhounková Marie , Lanzendörfer Martin , Tobie Gabriel , Choblet Gaël
Published: October 2023

After discovering a remarkable jet activity above Enceladus' south-polar terrain, the Cassini mission demonstrated the existence of a subsurface water ocean with a unique sampling opportunity through flybys. Diurnal variations in the observed brightness of the plume suggest a tidal origin, although the existence and timing of two activity maxima seem to contradict stress analysis predictions. By combining a 3D global model of tidal deformation of the fractured ice shell with a 1D local model of transport processes within south-polar faults, we provide a self-consistent picture of mass flux that matches the observed plume activity. Considering shear-modulated jet flow and stress-modulated porous flow simultaneously explains both the apparent discrepancy between vapour and solid emission rates and the observed fractionation of the various icy particle families. This lays the ground for the optimal design of JWST observations of Enceladus' plume and future particle sampling strategies.
Relative roles of the Arctic and Antarctic sea ice melt on Indian summer monsoon
Authors: CHANDRA VARUNESH , Sukumaran Sandeep
Published: October 2023

The response of low-latitude weather and climate to polar sea ice melt is not well understood. In this study, we run a suite of fully coupled simulations using the Community Earth System Model to investigate the effects of polar sea ice melt on Indian summer monsoon (ISM). In the coupled model simulation, the albedo of the sea ice is reduced in such a way that the increased absorption of the solar radiation would melt the sea ice. The effects of the Arctic and Antarctic sea ice melts on the ISM have been examined. The findings reveal that the combined melting of sea ice in the Arctic and Antarctic exerts a stronger influence on the ISM compared to the melting at a single pole. Specifically, the ISM exhibits a relatively weak sensitivity to the Arctic sea ice melt, while showing a stronger response to sea ice melt over the Antarctic and the combined melt over both poles. The response of summer monsoon to sea ice melt is characterized by a weakening of the circulation and a decrease in the continental precipitation, indicating an overall weakening of the monsoon system as a result of the polar sea ice melt. The intertropical convergence zone (ITCZ) and associated precipitation pattern shift equatorward in the sea ice melt experiments.
Constructing core-shell CF@PPy@CoFe 2 O 4 nanocomposite with optimized conductive loss and polarization loss toward efficient electromagnetic absorption
Authors: yuan liying , Zhao Wenxin , Miao Yukun , Wang Chang , Cui Anguo , Tian Zhongning , Wang Ting , Meng Alan , Zhang Meng , Li Zhenjiang
Published: October 2023

The inadequate impedance matching and weak attenuation capability for incident electromagnetic waves exhibited by carbon fibers (CF) are critical factors limiting their application served as absorbing materials. Constructing a nanocomposite system that simultaneously exhibits both dielectric loss and magnetic loss characteristics is a feasible strategy to overcome these limitations. In the present study, a core-shell CF@PPy@CoFe2O4 nanocomposite is fabricated through electrodeposition and subsequent hydrothermal methods to enhance the attenuation capacity and impedance matching of bare CF. Under the synergistic effects of diverse components and a peculiar network structure, the nanocomposite demonstrates optimized conductive loss and polarization loss, which results in a remarkable electromagnetic wave absorption performance with a minimum reflection loss (RLmin) of -48.70 dB and an effective absorption bandwidth (EAB) of 6.00 GHz (12~18 GHz) at optimal thicknesses of 1.99 mm and 2.06 mm, respectively, suggesting its promising application as a candidate absorber. More importantly, the exploration concerning the absorption mechanism provides significant insights into the attenuation modes of the dielectric-magnetic loss hetero-junction, which is beneficial for developing similar absorbing materials.
On Investigating Dynamic Coupling in Floating Platform and Overhead Crane Interactions: Modeling and Control
Authors: Al-Solihat Mohammad , Saaideh Mohammad Al , Al-Rawashdeh Yazan Mohammad , Janaideh Mohammad Al
Published: October 2023

This study introduces a comprehensive model addressing the dynamic interaction between a crane and platform in the presence of realistic surge-roll-heave movements induced by ocean waves. While the motion of the payload is ascertainable, the surge-roll-heave motions of the floating platform are considered unknown. Consequently, we proposed a control design strategy integrating a backstepping controller and a high-gain observer. The primary objectives of this design are to accurately track the desired (linear) trajectories of the cart position and mitigate its swing (angular) motion. Moreover, the proposed controller is designed to handle challenges such as unknown dynamic friction, dynamic coupling, and external disturbances, all while ensuring dynamic. The extended high-gain observer is crucial in estimating dynamic states and external disturbances. Through simulation, we validate the effectiveness of our model-based control approach, demonstrating its robust performance in the face of unknown nonlinearities and disturbances caused by wave motion.
Performance Evaluation of Isogeny-Based Digital Signature Algorithms : Introducing FIBS -- Fast Isogeny Based Digital Signature
Authors: Kim Suhri , Lee Youngdo , Yoon Kisson
Published: October 2023

Constructing a digital signature scheme is considerably more challenging to accomplish than a key exchange in isogeny-based cryptography. Currently, SeaSign, CSI-FiSh, and SQISign are well-known isogeny-based digital signature algorithms, but most of them, except SQISign, are considered impractical primarily due to performance reasons. However, an even more significant concern lies in security issues. Recently, various quantum and non-quantum attacks, including Castryck and Decru's brilliant method, have been proposed to break isogeny-based cryptosystems. Therefore, there is a need for a more efficient isogeny-based digital signature scheme that is robust enough to simultaneously withstand emerging attacks.This paper presents FIBS: Fast isogeny-based digital signature based on the isogeny-based hash function. We combine the CGL hash function and SPHINCS+ -- a hash-based digital signature algorithm. For a 128-bit quantum security level, our implementation in C takes 121.66s for key generation, 2837.04s for signing, and 172.37s for verification. The use of the CGL hash function, which is still considered to be secure, along with the conservative nature of hash-based digital signatures, contributes to our proposal.
A multidisciplinary approach in tackling invasive species: barcoding, morphology, and metataxonomy of the leafhopper Arboridia adanae
Authors: Piccinno Riccardo , Tatti Alessia , Avosani Sabina , Galla Giulio , Lazazzara Valentina , Pedrazzoli Federico , Zadra Nicola , Rodeghiero Mirco , Seljak Gabrijel , Özgen İnanç , Hauffe Heidi C. , Verrastro Vincenzo , Stacconi Marco Valerio Rossi , Mazzoni Valerio , Rota-Stabelli Omar
Published: October 2023

The leafhopper genus Arboridia includes several species that feed on Vitis vinifera and cause leaf chlorosis. We report the first alien Arboridia infestation in Italy in 2021 in an Apulian organic vineyard. To confirm the taxonomic status of the species responsible for crop damage, and reconstruct its demographic history, we barcoded individuals from Apulia together with Arboridia spp. from Crete (Greece), A. adanae from Central Turkey and other specimens of the presumed sister species, A. dalmatina, from Dalmatia (Croatia). Molecular phylogenies and barcoding gap analysis identified clades not associated with sampling locations. This result is incongruent with classical specimen assignment and is further supported by morphological analyses, which did not reveal significant differences among the populations. Therefore, we propose A. dalmatina as a junior synonym of A. adanae, which would become the only grapevine-related Arboridia species in the eastern Mediterranean. To further characterise A. adanae evolution, we performed a molecular clock analysis that estimated its radiation during the Pleistocene glaciations. To assess whether the Apulian individuals carried microorganisms of agricultural relevance, we finally sequenced the bacterial microbiota using 16S rRNA amplicon sequencing, by which we found three phytopathogens not generally associated with Arboridia activities and found Wolbachia in one Apulian haplogroup.
Two-step minimization approach to Sobolev-type inequality with inhomogeneous potential in 1D
Authors: Apriliani Vina , Kimura Masato , Ohtsuka Hiroshi
Published: October 2023

We present a new method to determine the best constant of the Sobolev-type embedding in one dimension with a norm including an inhomogeneous potential term. This problem is closely connected to the Green function of the Schr ̈odinger operator with inhomogeneous potential. A minimization problem of a Rayleigh-type quotient in a Sobolev space gives the best constant of the Sobolev embedding. We decompose the minimization problem into two sub-minimization problems and show that the Green function provides the minimizer of the first minimization problem. Then, it enables us to derive a new precise estimate of the best constant and function for inhomogeneous bounded potential cases. As applications, we give some examples of the inhomogeneous potential whose best constant and function of the Sobolev-type embedding are explicitly determined. Furthermore, we consider an Lp- or measure-valued perturbation of the bounded potential and analyze it using a comparison formula and the two-step minimization approach.
Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning
Authors: Tian Yalin , Lian Zengzeng , Wang Penghui , Wang Mengqi , Yue Zhe , Chai Huabin
Published: October 2023

Ultra-wideband technology has good anti-interference capabilities and development prospects in indoor positioning. Since ultra-wideband will be affected by random errors in indoor positioning, to exploit the advantages of the Kalman filter and the LSTM network, this paper proposes a long short-term memory neural network algorithm fused with the Kalman filter (KF-LSTM) to improve UWB positioning. First, the ultra-wideband data is processed through Kalman filtering to weaken the noise in the data, and then the data is fed into the LSTM network for training, and the capability of the LSTM network to process time series features is employed to obtain more accurate label positions. Finally, simulation and measurement results show that the KF-LSTM algorithm achieves 71.31%, 37.28%, and 49.31% higher average positioning accuracy than the BP, KF-BP, and LSTM network algorithms, respectively, and the KF-LSTM algorithm performs more stably. Meanwhile, the more noise the data contains, the more obvious the stability contrast between the four algorithms.
Wormholes and energy conditions in Rastall-Rainbow Gravity
Authors: Banerjee Ayan , Islam Safiqul , Pradhan Anirudh , Zeyauddin M.
Published: October 2023

An interesting class of modified gravity theory has recently been proposed, namely, the Rastall-Rainbow gravity. This theory is a combination of two theories: the Rastall theory and the Rainbow description. The present work is devoted to explore the possibility of the existence of static spherically symmetric wormholes and present the full gravitational field equations. In particular, considering specific choices for the redshift and shape functions, we present exact solutions of asymptotically flat wormhole geometries. With the specific examples, we investigate some issues concerning energy conditions and adiabatic sound velocity. We also consider the “volume integral quantifier” to assess the total amount of energy-condition violating matter. Finally, we conclude that the violation of energy conditions may be alleviated by decreasing Rastall’s parameters and adjusting the Rainbow functions.
TTAFPred: Prediction of time to aging failure for software systems based on a two-stream multi-scale features fusion network
Authors: Jia Kai , Yu Xiao , Zhang Chen , Xie Wenzhi , Zhao Dongdong , Xiang Jianwen
Published: October 2023

Software aging refers to the performance degradation and failure crash phenomena in long-running systems. As a proactive remedy, software rejuvenation can be scheduled timely to mitigate aging effects. Inescapably, how to accurately predict the time to aging failure (TTAF) of software is a prerequisite for implementing effective rejuvenation. However, the characterization of software aging is relatively complicated, leading to the selection of aging indicators case by case, which means that only fitting the variation trend of a single indicator for prediction models to formulate a rejuvenation schedule may be limited. To fill this gap, this paper proposes a novel framework called TTAFPred, which directly constructs the direct mapping relationships between the software aging process considering multiple system indicators and TTAF. Specifically, this framework includes three parts, i.e., data preprocessing, software degradation feature extraction , and TTAF prediction modules. First, the raw data is processed into the input form required by the network. Secondly, a temporal relationship extraction stream integrating bidirectional gated recurrent unit (BiGRU) with attention mechanism is used to extract temporal features from raw inputs. Synchronously, a spatial relationships extraction stream is adopted to extract the spatial features 1 for enhancing the representation ability of degraded features by using the multi-scale one-dimensional convolutional neural network (1DCNN) with the residual connection. Then, extracted temporal-spatial features from the two streams are further fused. Finally, two fully-connected layers are constructed to estimate the TTAF. The experiments are performed on two mainstream software systems (OpenStack and Android), and four sets of real run-to-failure data for each software system are collected. The effectiveness of the proposed TTAFPred is verified through extensive experiments with its seven competing models, and the prediction performance can be improved by 9.1%, 8.0%, and 8.0%, respectively, in terms of three evaluation metrics, compared to the best baseline model.
Effectiveness of defocus lenses in youth vision control Running Title: a meta-analysis
Authors: Chu Hui-Hui , Liu Xue , Zuo Hua-Xin , Yu Ji-Feng
Published: October 2023

Purpose: To systematically evaluate the effectiveness of defocused lenses in the control of adolescent visual acuity. Methods: The Cochrane library, Web of science, PubMed, Proquest and Chinese biomedical literature databases Wanfang, Vipu and CNKI were used to search for relevant literatures on the controlled trial of defocusing lenses in adolescent vision control from self-built databases to June 2023. According to the inclusion and exclusion criteria, 5 studies were selected for meta-analysis. RevMan 5.3 software was used to analyze the included literatures and explore the heterogeneity of each study. Results: 5 controlled trials involving 947 subjects were finally included. meta-analysis showed that defocus lenses slowed the increase in myopic refraction [OR: 0.21, 95CI% (0.09, 0.33), p=0.0008], reduced refraction levels [OR:-0.30, 95CI% (-0.58,-0.01), p=0.04] , reduced axial length [OR: 0.49, 95CI% (0.31, 0.67), P<0.00001], all of the above differences were statistically significant. The funnel plots for each study suggested that the scatter was essentially symmetrical and in to a funnel-shaped distribution, so the funnel plots suggested no publication bias. Conclusion: Defocus lenses used in youth vision control are effective in slowing down the increase in myopic refraction and reducing refraction levels and axial length.
Perforation of the Terminal Ileum Caused by Brucellosis: A Case Report
Authors: wang Chun , Yang Xiaoran , Zhou Jia , Liu Xu , Li Xuzhao
Published: October 2023

Brucellosis is a zoonotic disease caused by infection with gram-negative coccobacilli belonging to the genus Brucella, resulting in invasion of multiple systems and organs. Bone and joint involvement are its most common complication. Acute abdomen with intestinal perforation caused by Brucella infection is very rare. Here we report a case in a 69-year-old man who was diagnosed with acute diffuse peritonitis with hollow organ perforation before surgery. Exploration during the operation revealed intestinal perforation at the end of ileocecum, with wheel spoke-like necrosis at the end of ileum. Partial resection of the necrotic small intestine, closure of the end of ileum and ileostomy were performed. Postoperative blood culture and a Brucella agglutination test were both positive for Brucella. Targeted treatment with tetracycline and aminoglycosides was given. The patient recovered and was discharged.
5G and Beyond Wireless Network Optimization through RIS Technology: A Pricing Game
Authors: Daoudi Lhoussaine , Baslam Mohamed , Zagour Mohamed , Safi Said
Published: October 2023

This paper aims to improve wireless networks beyond 5G by solving problems such as dead zone connections, physical layer security, and high costs with the aid of reconfigurable intelligent surfaces (RISs). Trusted RIS holders could purchase the copyrights of RIS technology from wireless service providers, their competitive behaviors were simulated using a non-cooperative pricing game to optimize the utility of the pricing structure. RIS holders were supposed to be bounded rational and base their decisions on past strategies. This selfish action was framed as a duopoly game of bounded rationality with history. To ensure fairness, the solution to this game was defined as the Nash equilibrium, but maintaining the stability of this solution was difficult. The local stability of the solution was analyzed. Numerical simulations showed that RIS holders who possessed story-awareness were more likely to attain Nash equilibrium, and its stability region became larger for specific story weights and RIS size values. Next, a basin of attraction graph simulated the effect of history on the global stability of Nash equilibrium. The study provided information to RIS holders to minimize the cost of installing RIS on their own or rented properties while transmitting more radio spectrum to users.
Insulator, resister, and conductor are capacitors
Authors: Shang Muyuan
Published: October 2023

The phenomenon of dispersion and absorption in materiel has been interpreted by dielectric polarization for more than a century. A different theory for the phenomenon was constructed after the capacitance had been found in rock. The new theory has approved that an insulator is also with capacitance. The phenomenon of negative dielectric constant in the conductor (metals) is hard to be explained by polarization theory. All the formulas describing the dispersion based on polarization theory is empirical formula and contradicts each other. Here we show that the metal is also with capacitance and the negative dielectric constant is mainly caused by induction. The bottleneck effect for the current causes material capacitance. The capacitance formula of this new theory is same to the different polarization based empirical formulas mathematically. The material capacitance formula can be adopted to insulators, resistors, and conductors. In the previous articles, author has approved that the capacitance formula can be adopted to insulators and resistors. In this article, it mainly has approved that the capacitance formula can be also adopted to conductor. In brief, all material such as insulator, resistor, and conductor are with capacitance. This paper puts the explanation of dispersion from empirical formula forwards the theory conduced formula.