bluuebunny/crossref_metadata_2025 huggingface dataset:
The Nonviolence Conundrum: Political Peace and Personal Karma in Jain and Hindu Traditions
Authors: Howard Veena R.
Published: January 2023

Debates on war and peace within Jain and Hindu traditions revolve around the fear of incurring individual bad karma from violence, potentially inhibiting the individual’s journey to spiritual liberation. Generally, the religious culture of both Jain and Hindu traditions elevates nonviolence to one of the highest moral principles. Jainism embraces ahiṃsā (non-harming) as the central doctrine, and Hindu traditions exalt non-harming as one of the highest disciplines and virtues (dharma). However, a personal spiritual commitment to nonviolence creates tension with the humanistic value of striving for an ethic of social justice and peace. Maintaining social harmony sometimes requires confrontation or targeted violence. It is not surprising that while both traditions laud ahiṃsā for personal peace, they also deliberate on the challenge of using necessary violence to maintain an orderly society. Despite sanctioning limited violence (hiṃsā) in acute situations, various texts and myths express a general suspicion for using war or other aggressive methods to solve social and political problems.
“Remain in the Calling in Which You Were Called” (1 Cor 7:20): A Post Supersessionist Reading of 1 Corinthians
Authors: Lim Kar Yong
Published: January 2023

This essay explores how Paul negotiates and constructs social identity for the Christos-followers in Corinth from a post-supersessionist perspective by using the Social Identity Theory. Focusing on a close reading of two controversial passages taken from 1 Corinthians (1 Cor 7:17–24 and 9:19–23), this essay argues that there is continuation of existing social identities of both the Jewish and gentile Christos-followers. In the Christos-movement, Jews were not expected to give up their place of belonging in order to become Christos-followers. Likewise, gentiles were not expected to leave behind their previous identity and embrace Jewish practices in order to become the people of God who worship the God of Israel. While the existing social identities continue, Paul also creatively transforms them. Reflection on the implication of this reading for contemporary ethnic Chinese Christos-followers in Muslim-majority Malaysia is also offered.
Religious Engagement and Successful Aging among Korean Older Adults
Authors: You Sukkyung , Kwon Minkyung
Published: January 2023

The rate of aging is growing faster than ever. The global society must prepare adequate measures to support this imminent change. Following this social trend, research has been conducted on the quality of life of the aging population in a different fields, including gerontology. Since the idea of successful aging was conceptualised, research on the quality of life of older adults has been actively conducted. The current study aims to contribute to the aging research field by adding a factor (religious engagement) to Rowe and Kahn’s model. We utilized the longitudinal design to examine the longstanding effect of demographic, physical, social, psychological, and religious factors on life satisfaction among older Korean adults (N = 4013). Hierarchical regression analyses were employed to understand how these factors influence older adults’ life satisfaction in a nationally representative sample. Study findings indicated (a) after controlling for demographic background, all subdimensions of physical, social, psychological, and religious factors exerted a significant effect on later life satisfaction; (b) the final model showed that highly educated, regular exercise, frequent meeting with friends and family, less depressed, feeling less lonely, and higher religious engagement ultimately affected the subsequent life satisfaction of Korean older adults; (c) among different variables, psychological health and religious engagement were found to be crucial factors. The findings confirm the explanatory power of successful aging theory while providing empirical evidence that religious engagement may be an additional factor contributing to enhancing the life satisfaction of older adults.
Blockchain-Based Traceability Architecture for Mapping Object-Related Supply Chain Events
Authors: Dietrich Fabian , Louw Louis , Palm Daniel
Published: January 2023

Supply chains have evolved into dynamic, interconnected supply networks, which increases the complexity of achieving end-to-end traceability of object flows and their experienced events. With its capability of ensuring a secure, transparent, and immutable environment without relying on a trusted third party, the emerging blockchain technology shows strong potential to enable end-to-end traceability in such complex multitiered supply networks. This paper aims to overcome the limitations of existing blockchain-based traceability architectures regarding their object-related event mapping ability, which involves mapping the creation and deletion of objects, their aggregation and disaggregation, transformation, and transaction, in one holistic architecture. Therefore, this paper proposes a novel ‘blueprint-based’ token concept, which allows clients to group tokens into different types, where tokens of the same type are non-fungible. Furthermore, blueprints can include minting conditions, which, for example, are necessary when mapping assembly processes. In addition, the token concept contains logic for reflecting all conducted object-related events in an integrated token history. Finally, for validation purposes, this article implements the architecture’s components in code and proves its applicability based on the Ethereum blockchain. As a result, the proposed blockchain-based traceability architecture covers all object-related supply chain events and proves its general-purpose end-to-end traceability capabilities of object flows.
A Robust Method for the Elaboration of SiO2-Based Colloidal Crystals as a Template for Inverse Opal Structures
Authors: Fookes Federico , Polo Parada Luis , Fidalgo María
Published: January 2023

Photonic crystals (PCs) are nanomaterials with photonic properties made up of periodically modulated dielectric materials that reflect light between a wavelength range located in the photonic band gap. Colloidal PCs (C-PC) have been proposed for several applications such as optical platforms for the formation of physical, chemical, and biological sensors based on a chromatic response to an external stimulus. In this work, a robust protocol for the elaboration of photonic crystals based on SiO2 particle (SP) deposition using the vertical lifting method was studied. A wide range of lifting speeds and particle suspension concentrations were investigated by evaluating the C-PC reflectance spectrum. Thinner and higher reflectance peaks were obtained with a decrease in the lifting speed and an increase in the SP concentrations up to certain values. Seven batches of twelve C-PCs employing a SP 3% suspension and a lifting speed of 0.28 µm/s were prepared to test the reproducibility of this method. Every C-PC fabricated in this assay has a wavelength peak in a range of 10 nm and a peak width lower than 90 nm. Inverse-opal polymeric films with a highly porous and interconnected morphology were obtained using the developed C-PC as a template. Overall, these results showed that reproducible colloidal crystals could be elaborated on a large scale with a simple apparatus in a short period, providing a step forward in the scale-up of the fabrication of photonic colloidal crystal and IO structures as those employed for the elaboration of photonic polymeric sensors.
Signal Processing and Machine Learning for Smart Sensing Applications
Authors: Chien Ying-Ren , Zhou Mu , Peng Ao , Zhu Ni , Torres-Sospedra Joaquín
Published: January 2023

The Special Issue “Signal Processing and Machine Learning for Smart Sensing Applications” focused on the publication of advanced signal processing methods by means of state-of-the-art machine learning technologies for smart sensing applications [...]
Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review
Authors: Mardani Korani Zahra , Moin Armin , Rodrigues da Silva Alberto , Ferreira João Carlos
Published: January 2023

This paper reviews the literature on model-driven engineering (MDE) tools and languages for the internet of things (IoT). Due to the abundance of big data in the IoT, data analytics and machine learning (DAML) techniques play a key role in providing smart IoT applications. In particular, since a significant portion of the IoT data is sequential time series data, such as sensor data, time series analysis techniques are required. Therefore, IoT modeling languages and tools are expected to support DAML methods, including time series analysis techniques, out of the box. In this paper, we study and classify prior work in the literature through the mentioned lens and following the scoping review approach. Hence, the key underlying research questions are what MDE approaches, tools, and languages have been proposed and which ones have supported DAML techniques at the modeling level and in the scope of smart IoT services.
Wireless Sensing and Networking for the Internet of Things
Authors: Lin Zihuai , Xiang Wei
Published: January 2023

In recent years, we have witnessed the exponential proliferation of the Internet of Things (IoT)-based networks of physical devices, vehicles, and appliances, as well as other items embedded with electronics, software, sensors, actuators, and connectivity, which enable these objects to connect and exchange data [...]
Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles
Authors: Tsutsumi Hyuga , Kondo Kei , Takenaka Koki , Hasegawa Tatsuhito
Published: January 2023

Deep learning methods are widely used in sensor-based activity recognition, contributing to improved recognition accuracy. Accelerometer and gyroscope data are mainly used as input to the models. Accelerometer data are sometimes converted to a frequency spectrum. However, data augmentation based on frequency characteristics has not been thoroughly investigated. This study proposes an activity recognition method that uses ensemble learning and filters that emphasize the frequency that is important for recognizing a certain activity. To realize the proposed method, we experimentally identified the important frequency of various activities by masking some frequency bands in the accelerometer data and comparing the accuracy using the masked data. To demonstrate the effectiveness of the proposed method, we compared its accuracy with and without enhancement filters during training and testing and with and without ensemble learning. The results showed that applying a frequency band enhancement filter during training and testing and ensemble learning achieved the highest recognition accuracy. In order to demonstrate the robustness of the proposed method, we used four different datasets and compared the recognition accuracy between a single model and a model using ensemble learning. As a result, in three of the four datasets, the proposed method showed the highest recognition accuracy, indicating the robustness of the proposed method.
Swarm Intelligence in Internet of Medical Things: A Review
Authors: Alizadehsani Roohallah , Roshanzamir Mohamad , Izadi Navid Hoseini , Gravina Raffaele , Kabir H. M. Dipu , Nahavandi Darius , Alinejad-Rokny Hamid , Khosravi Abbas , Acharya U. Rajendra , Nahavandi Saeid , Fortino Giancarlo
Published: January 2023

Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends are outlined.
LAD: Layer-Wise Adaptive Distillation for BERT Model Compression
Authors: Lin Ying-Jia , Chen Kuan-Yu , Kao Hung-Yu
Published: January 2023

Recent advances with large-scale pre-trained language models (e.g., BERT) have brought significant potential to natural language processing. However, the large model size hinders their use in IoT and edge devices. Several studies have utilized task-specific knowledge distillation to compress the pre-trained language models. However, to reduce the number of layers in a large model, a sound strategy for distilling knowledge to a student model with fewer layers than the teacher model is lacking. In this work, we present Layer-wise Adaptive Distillation (LAD), a task-specific distillation framework that can be used to reduce the model size of BERT. We design an iterative aggregation mechanism with multiple gate blocks in LAD to adaptively distill layer-wise internal knowledge from the teacher model to the student model. The proposed method enables an effective knowledge transfer process for a student model, without skipping any teacher layers. The experimental results show that both the six-layer and four-layer LAD student models outperform previous task-specific distillation approaches during GLUE tasks.
Impact of Initial Cyclic Loading on Mechanical Properties and Performance of Nafion
Authors: Vokoun David , Samal Sneha , Stachiv Ivo
Published: January 2023

Nafion possesses many interesting properties such as a high ion-conductivity, hydrophilicity, and thermal and chemical stability that make this material highly suitable for many applications including fuel cells and various (bio-)chemical and physical sensors. However, the mechanical properties of a Nafion membrane that are known to be affected by the viscoplastic characteristics of the material itself have a strong impact on the performance of Nafion-based sensors. In this study, the mechanical properties of Nafion under the cyclic loading have been investigated in detail. After cyclic tensile loading (i.e., maximum elongation about 25% at a room temperature and relative humidity about 40%) a time-dependent recovery comes into play. This recovery process is also shown being strain-rate dependent. Our results reveal that the recovery behavior weakens after performing several stress–strain cycles. Present findings can be of a great importance in future design of various chemical and biological microsensors and nanosensors such as hydrogen or glucose ones.
Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks
Authors: Dumitru Cristian-Dragoș , Gligor Adrian , Vlasa Ilie , Simo Attila , Dzitac Simona
Published: January 2023

Smart metering systems development and implementation in power distribution networks can be seen as an important factor that led to a major technological upgrade and one of the first steps in the transition to smart grids. Besides their main function of power consumption metering, as is demonstrated in this work, the extended implementation of smart metering can be used to support many other important functions in the electricity distribution grid. The present paper proposes a new solution that uses a frequency feature-based method of data time-series provided by the smart metering system to estimate the energy contour at distribution level with the aim of improving the quality of the electricity supply service, of reducing the operational costs and improving the quality of electricity measurement and billing services. The main benefit of this approach is determining future energy demand for optimal energy flow in the utility grid, with the main aims of the best long term energy production and acquisition planning, which lead to lowering energy acquisition costs, optimal capacity planning and real-time adaptation to the unpredicted internal or external electricity distribution branch grid demand changes. Additionally, a contribution to better energy production planning, which is a must for future power networks that benefit from an important renewable energy contribution, is intended. The proposed methodology is validated through a case study based on data supplied by a real power grid from a medium sized populated European region that has both economic usage of electricity—industrial or commercial—and household consumption. The analysis performed in the proposed case study reveals the possibility of accurate energy contour forecasting with an acceptable maximum error. Commonly, an error of 1% was obtained and in the case of the exceptional events considered, a maximum 15% error resulted.
Identification of Cadmium Compounds in a Solution Using Graphene-Based Sensor Array
Authors: Yoshii Tomoya , Nishitsugu Fuka , Kikawada Kazuki , Maehashi Kenzo , Ikuta Takashi
Published: January 2023

Rapid detection of heavy metals in solution is necessary to ensure human health and environmental protection. Some heavy-metal compounds are present in solution as compounds instead of as ions owing to their low ionization. Therefore, the development of sensor devices for the detection of heavy-metal compounds is important. In this study, as a proof of concept, we propose a sensor device using graphene and a chelating agent, which were used to develop an identification technique for three types of cadmium compounds. Pristine-graphene and two types of chelator-modified graphene-based sensors were successfully used to detect cadmium compounds at concentrations ranging from 50 to 1000 μM. The detection time was less than 5 min. The three type of graphene-based sensors responded differently to each cadmium compound, which indicates that they detected cadmium as a cadmium compound instead of as cadmium ions. Furthermore, we successfully identified cadmium compounds by operating these three types of sensors as a sensor array on the same substrate. The results indicate that sensors that focus on heavy-metal compounds instead of heavy-metal ions can be used for the detection of heavy metals in solution.
Multivariate Regression in Conjunction with GA-BP for Optimization of Data Processing of Trace NO Gas Flow in Active Pumping Electronic Nose
Authors: Sun Pengjiao , Shi Yunbo , Shi Yeping
Published: January 2023

Exhaled nitric oxide trace gas at the ppb level is a biomarker of human airway inflammation. To detect this, we developed a method for the collection of active pumping electronic nose bionic chamber gas. An optimization algorithm based on multivariate regression (MR) and genetic algorithm–back propagation (GA-BP) was proposed to improve the accuracy of trace-level gas detection. An electronic nose was used to detect NO gas at the ppb level by substituting breathing gas with a sample gas. The impact of the pump suction flow capacity variation on the response of the electronic nose system was determined using an ANOVA. Further, the optimization algorithm based on MR and GA-BP was studied for flow correction. The results of this study demonstrate an increase in the detection accuracy of the system by more than twofold, from 17.40%FS before correction to 6.86%FS after correction. The findings of this research lay the technical groundwork for the practical application of electronic nose systems in the daily monitoring of FeNO.
A New Boron–Rhodamine-Containing Carboxylic Acid as a Sugar Chemosensor
Authors: Komori Yuta , Sugimoto Shun , Sato Toranosuke , Okawara Honoka , Watanabe Ryo , Takano Yuki , Kitaoka Satoshi , Egawa Yuya
Published: January 2023

We propose a boron–rhodamine-containing carboxylic acid (BRhoC) substance as a new sugar chemosensor. BRhoC was obtained by the Friedel–Crafts reaction of 4-formylbenzoic acid and N,N-dimethylphenylboronic acid, followed by chloranil oxidation. In an aqueous buffer solution at pH 7.4, BRhoC exhibited an absorption maximum (Absmax) at 621 nm. Its molar absorption coefficient at Absmax was calculated to be 1.4 × 105 M−1 cm−1, and it exhibited an emission maximum (Emmax) at 644 nm for the excitation at 621 nm. The quantum yield of BRhoC in CH3OH was calculated to be 0.16. The borinate group of BRhoC reacted with a diol moiety of sugar to form a cyclic ester, which induced a change in the absorbance and fluorescence spectra. An increase in the D-fructose (Fru) concentration resulted in the red shift of the Absmax (621 nm without sugar and 637 nm with 100 mM Fru) and Emmax (644 nm without sugar and 658 nm with 100 mM Fru) peaks. From the curve fitting of the plots of the fluorescence intensity ratio at 644 nm and 658 nm, the binding constants (K) were determined to be 2.3 × 102 M−1 and 3.1 M−1 for Fru and D-glucose, respectively. The sugar-binding ability and presence of a carboxyl group render BRhoC a suitable building block for the fabrication of highly advanced chemosensors.
Advanced Energy Management Strategy of Photovoltaic/PEMFC/Lithium-Ion Batteries/Supercapacitors Hybrid Renewable Power System Using White Shark Optimizer
Authors: Alhumade Hesham , Rezk Hegazy , Louzazni Mohamed , Moujdin Iqbal Ahmed , Al-Shahrani Saad
Published: January 2023

The slow dynamic response of a proton exchange membrane fuel cell (PEMFC) to high load change during deficit periods must be considered. Therefore, integrating the hybrid system with energy storage devices like battery storage and/or a supercapacitor is necessary. To reduce the consumed hydrogen, an energy management strategy (EMS) based on the white shark optimizer (WSO) for photovoltaic/PEMFC/lithium-ion batteries/supercapacitors microgrid has been developed. The EMSs distribute the load demand among the photovoltaic, PEMFC, lithium-ion batteries, and supercapacitors. The design of EMSs must be such that it minimizes the use of hydrogen while simultaneously ensuring that each energy source performs inside its own parameters. The recommended EMS-based-WSO was evaluated in regard to other EMSs regarding hydrogen fuel consumption and effectiveness. The considered EMSs are state machine control strategy (SMCS), classical external energy maximization strategy (EEMS), and optimized EEMS-based particle swarm optimization (PSO). Thanks to the proposed EEMS-based WSO, hydrogen utilization has been reduced by 34.17%, 29.47%, and 2.1%, respectively, compared with SMCS, EEMS, and PSO. In addition, the efficiency increased by 6.05%, 9.5%, and 0.33%, respectively, compared with SMCS, EEMS, and PSO.
Pharmacognostical and Phytochemical Evaluation of a Unani Polyherbal Formulation: Dawa ul Kurkum by HPTLC
Authors: Gupta Meenakshi , Sumaiya Sajida , Ali Sher , Naved Tanveer , Sharma Archana , Ahmad Ajaz , Sikander Mohammed , Sarwat Maryam
Published: January 2023

Background: Dawa ul Kurkum (Duk) is a widely used Unani formulation. It consists of seven plant herbs, including stigmas of Crocus sativus L., rhizomes of Nardostachys jatamansi (D.Don) DC., the bark of Cinnamomum cassia (L.) J. Presl., shoot of Cymbopogon jwarancusa (Jones ex Roxb.) Schult., the resin of Commiphora wightii (Arn.) Bhandari, roots of Saussurea lappa (Decne.) Sch.Bip., and bark of Cinnamomum zeylanicum Blume. However, no study has been previously conducted to characterize this formulation. Thus, the present study was designed to carry out the pharmacognostic and phytochemical characterization of Duk. Methods: Duk was prepared following the protocols in Bayaz e Kabeer and The National Formulary of Unani Medicine Part-I. The characterization included organoleptic properties, fluorescence analysis, preliminary phytochemical screening, antioxidant activity, and active constituent profiling using HPTLC. Results: Evaluation of Duk showed the presence of carbohydrates, flavonoids, quinones, glycosides, cardiac glycosides, terpenoids, phenols, coumarin, steroids, and phytosterols. The total phenolic and flavonoid content was 5.75 ± 0.23 mg GAE/g and 10 ± 0.18 mg QUE/g, respectively. HPTLC of Duk showed the presence of p-coumaric acid, cinnamaldehyde, citral, crocin, isovaleric acid, guggulsterone, and dehydrocostus lactone. Conclusions: Our findings supported the use of Duk as a conventional medicine, and these results could be used as a reference for the standardization of Duk.
Trend of Antioxidant Activity and Total Phenolic Content in Wild Edible Plants as Part of the Environmental Quality Assessment of Some Areas in the Central Italy
Authors: Notardonato Ivan , Fantasma Francesca , Monaco Pamela , Di Fiore Cristina , Saviano Gabriella , Giancola Carmen , Avino Pasquale , De Felice Vincenzo
Published: January 2023

Polyphenols are secondary metabolites of interest due to their potential application in various fields. This study is supposed to analyse the content of total polyphenols, total tannins, condensed tannins and antioxidant activity of ten wild plant species of nutritive interest to better understand their potential applications. Furthermore, the effect of heavy metals on the production of the investigated secondary metabolites was analysed. The different phenolic compounds were determined in methanol extracts obtained from edible plants collected during three sampling periods (June, September and November–December) in four areas of the Central Italy. Analyses were carried out by applying standard methodologies. In particular, total polyphenols were determined by the Folin–Ciocalteu method, total tannins by the polyvinylpolypyrrolidone (PVPP) reagent and condensed tannins by the 4-(dimethylamino)cinnamaldehyde (DMCA). Antioxidant activity was determined by assessing the scavenging capacity of 2,2-diphenyl-1-picrylhydrazyl (DPPH). The results showed a satisfactory content of phenolic compounds and antioxidant activity for all species analysed. Furthermore, the existence of a negative correlation between the presence of heavy metals and phenolic compounds was found. Results proved the potential use of these plants for balanced feeding of ruminants.
Let’s Play Democracy, Exploratory Analysis of Political Video Games
Authors: Torres-Toukoumidis Angel , Gutiérrez Isidro Marín , Becerra Mónica Hinojosa , León-Alberca Tatiana , Curiel Concha Pérez
Published: January 2023

In current times, the concept of democracy has been transformed due to the ups and downs of the hyperdigitalized society, modifying its discourses and forms of participation. Recognizing that video games maintain a prominent role in the new generations, this research has the objective of analyzing independent video games related to the notion of democracy. For this reason, 26 video games were analyzed according to their democratic principles, their typology and their key components, resulting in a tendency towards the guarantee of civil liberties, political pluralism and separation of powers; likewise, there is a clear differentiation between persuasive and expressive video games, the former linked to polarization and criticism, while the latter responded to a reflexive conceptual line, added to the use of reward systems and progression in their key design components. It can be concluded that video games linked to democracy respond to an innovative interactive dimension that converts the traditional political canons by the creativity, freedom, and autonomy of the current audiences.
Neglected with No Social Protection: The Plight of Sex Workers during COVID-19 in South Africa
Authors: Mlambo Victor H. , Masuku Mfundo Mandla
Published: January 2023

This study aims to shed new light on the sex industry by questioning the lack of government assistance for female sex workers during the COVID-19 pandemic and looking at their rights from a feminist perspective. The study employed the conflict theory to understand the manifestation of sex work as a profession and its associated drivers. It used a phenomenological approach to understand the lived experiences of sex workers in their own words. A sample of 11 female commercial sex workers operating in the towns of the uMhlathuze Local Municipality, South Africa, was interviewed. The study found that assistance from government and non-government organisations was available. Still, sex workers had no access to it due to their occupation falling outside the legal beneficiary framework. During the pandemic, the criminalisation of commercial sex work exacerbated poverty, inequality, and socio-economic desperation among those in the profession. The study recommends that government strengthens resources to support sex workers and introduce safety net programs to restore livelihoods and dignity in criminalised settings. Various interventions are required to change the legal framework regarding sex work and view the profession from a legalised, regulated and as valid occupation.
Acknowledgment to the Reviewers of Solar in 2022
Authors:   Solar Editorial Office
Published: January 2023

High-quality academic publishing is built on rigorous peer review [...]
Bayesian Logistic Regression Model for Sub-Areas
Authors: Chen Lu , Nandram Balgobin
Published: January 2023

Many population-based surveys have binary responses from a large number of individuals in each household within small areas. One example is the Nepal Living Standards Survey (NLSS II), in which health status binary data (good versus poor) for each individual from sampled households (sub-areas) are available in the sampled wards (small areas). To make an inference for the finite population proportion of individuals in each household, we use the sub-area logistic regression model with reliable auxiliary information. The contribution of this model is twofold. First, we extend an area-level model to a sub-area level model. Second, because there are numerous sub-areas, standard Markov chain Monte Carlo (MCMC) methods to find the joint posterior density are very time-consuming. Therefore, we provide a sampling-based method, the integrated nested normal approximation (INNA), which permits fast computation. Our main goal is to describe this hierarchical Bayesian logistic regression model and to show that the computation is much faster than the exact MCMC method and also reasonably accurate. The performance of our method is studied by using NLSS II data. Our model can borrow strength from both areas and sub-areas to obtain more efficient and precise estimates. The hierarchical structure of our model captures the variation in the binary data reasonably well.
Precautionary Saving and Liquidity Shortage
Authors: He Guohua , Hu Zirun
Published: January 2023

Most of the canonical macroeconomic models simulate liquidity anomalies by changing the economic fundamentals or adding massive financial shock to firms’ collateral constraints, but a few facts somehow tell a different story. Instead of relying on the exogenous shocks, we introduce uncertainty into an otherwise classical liquidity framework and try to answer what worsens the aggregate liquidity in the absence of exogenous simulations and what a firm dynamics and financing strategy would be. Our analysis shows that (1) uncertainty induces agents to make decisions under the worst-case scenario and hence generates a unique expectation threshold that drags market (or firms) liquidity from sufficiency to insufficiency even without any shock or economic changes. (2) Precautionary saving occurs before the real liquidity shortage as the expectation shifts, causing firms to secure external financing by raising the equity issuing price and hoarding liquid assets, such as fiat money, against liquidity tightening. (3) To achieve liquidity stability and sustainability, an extra mathematical constraint is supplemented for the uniqueness and the existence of equilibrium under uncertainty. Other properties of firms’ intertemporal allocations, such as the bid-ask spread and return of holding of the illiquid asset, are derived. Moreover, some approaches for further empirical research are discussed.
Can Innovation Incentive Policies Improve the Innovation Performance of Knowledge Workers? Evidence from Chinese State-Owned Enterprises
Authors: Gao Xiaoli , Zhang Weiwei
Published: January 2023

Innovation by knowledge workers is the foundation of sustainable development within an organization. Chinese policy makers use various innovation incentive policies to improve the innovation performance of knowledge workers at state-owned enterprises, which is in line with China’s goal of becoming an “innovative country”. This study compares the impacts of incentive policies issued by the central government, by local governments, and at the enterprise level (vertical dimension) and examines the effectiveness of varying policy content (horizontal dimension). The mechanism by which policy supply influences the innovation performance of knowledge workers at state-owned enterprises is theoretically analyzed, and empirical tests based on 1857 samples from field research are then conducted. The results show that incentive policies at each vertical level and each horizontal content level have a significant positive effect on the innovation performance of knowledge workers at state-owned enterprises, although the effects vary. The findings indicate that, along the vertical dimension, local government incentive policies are most effective. Along the horizontal dimension, salary and honor incentive policies are the most impactful. Policy providers should consider the differences in the effects of various innovation incentive policies to formulate relevant incentive policies to improve the innovation performance of state-owned enterprise knowledge workers.
Comparison of Dynamic Response Characteristics of Typical Energy Storage Technologies for Suppressing Wind Power Fluctuation
Authors: Qu Hong , Ye Ze
Published: January 2023

The intermittence and randomness of wind speed leads to the fluctuation of wind turbine output power. In order to study the applicability of battery, super capacitor and flywheel energy storage technology in suppressing wind power fluctuation, this paper takes a 3 MW direct drive wind turbine as an example, and, through the establishment of a wind storage system model, the dynamic response characteristics and application effects of the three typical energy storage technologies to suppress the power fluctuation of the wind turbine under two wind speed fluctuation scenarios are simulated and studied, and the stability of output power is quantitatively analyzed. Results show that all the three energy storage systems respond well to power command curves, but when the wind power fluctuation is large, the flywheel energy storage has a better effect on suppressing the wind power fluctuation, which can suppress about 70% of the power fluctuation.
A Research on Autonomous Collision Avoidance under the Constraint of COLREGs
Authors: Li Qiang
Published: January 2023

In this paper, a decision-making model suitable for the collision avoidance (CA) of numerous target ships (TSs) is proposed, based on the principle of ship collision avoidance geometry and the characteristics of numerous target ships’ collision avoidance at sea. To ensure that the collision avoidance behaviors of own-ship (OS) are subject to the International Regulations for Preventing Collisions at Sea (COLREGS), this paper gives full consideration to the requirements of COLREGS within the scope of CA action and the time of collision avoidance. A ship CA simulation is established based on the Mathematical Modeling Group (MMG) model. To optimize the CA decision-making model, the influence of hydrodynamic force on steering time required to reach the new course is integrated into the collision avoidance simulation system. The simulation results show that the method can quickly and effectively determine a collision avoidance decision under the complex situation of numerous target ships and static obstacles, and it can consider the unpredictable strategies used by other vessels.
Sustainable Use of Citrus Waste as Organic Amendment in Orange Orchards
Authors: Consoli Simona , Caggia Cinzia , Russo Nunziatina , Randazzo Cinzia Lucia , Continella Alberto , Modica Giulia , Cacciola Santa Olga , Faino Luigi , Reverberi Massimo , Baglieri Andrea , Puglisi Ivana , Milani Mirco , Longo Minnolo Giuseppe , Barbagallo Salvatore
Published: January 2023

The use of citrus waste (peel, CW) as organic fertilizer was investigated on soil microbiota and on soil physico-chemical and hydraulic characteristics. The biotic components on CW and the effect on nutritional status, leaf chlorophyll content, fruit set and production of “Tarocco” orange trees were also identified. The citrus waste was supplied to an experimental orchard at different doses: 45 kg m−2 (with and without Ca(OH)2 addition) and 90 kg m−2. The study was conducted in three consecutive years (2015–2017) on 20-year old orange trees at the experimental farm of the University of Catania (Italy). The main results of the study confirm that the use of CW as a biofertilizer offers a great opportunity for sustainable sweet orange production.
Disparities in the Implementation of Risk Management in the SMEs
Authors: Buganová Katarína , Hudáková Mária , Šimíčková Jana , Mošková Erika
Published: January 2023

This article aims to determine the disparities between SMEs in management and risk management depending on the type of management, age, and size of SMEs in the business environment of Slovakia. The case study was conducted in 2019/2020 on a sample of 362 owners and top managers of SMEs. The hypotheses were verified using statistical methods—the Pearson chi-squared test and the Z-test. The results show that SMEs are more involved in risk management than microenterprises. Process-driven SMEs largely perceive market risk. Medium-sized enterprises perceive personnel risk more intensely than microenterprises and small enterprises. Not even one out of every five owners or top managers can manage risks, and more than 15% of SMEs do not conduct any risk management activities. Financial reserves and insurance are the most used risk reduction measures in SMEs. The purpose of the survey is to strengthen the resilience of SMEs and to find out the causes of the weakening of resilience concerning the investigated risk factors. The creation of integrated management systems presupposes the inclusion of the risk management system among other management systems. By implementing risk management, it is possible to increase the efficiency of management systems.
A New Giant Petrel (Macronectes, Aves: Procellariidae) from the Pliocene of Taranaki, New Zealand
Authors: Tennyson Alan J. D. , Salvador Rodrigo B.
Published: January 2023

A new species of giant petrel, Macronectes tinae sp. nov., is described from the Pliocene deposits of South Taranaki, New Zealand. The holotype is a near complete skull and the paratype a fragmentary left humerus; both come from the Tangahoe Formation, dating from the late Pliocene (Piacenzian or “Waipipian”; age estimated as ca. 3.36–3.06 Ma). The new species of giant petrel is the first fossil Macronectes ever reported. It is morphologically similar to the two present-day Macronectes spp., but it was a smaller bird. The skull is diagnosed by its overall smaller size, a proportionately longer apertura nasi ossea, and potentially by a shorter os supraocciptale. The humerus is diagnosed from both species by a proportionately less deep shaft, a more prominent medial portion of the epicondylus ventralis, and a larger and fusiform fossa medialis brachialis. The Tangahoe Formation is proving to be a remarkable source of marine vertebrate fossils and an important piece of the puzzle in understanding the evolution and biogeography of seabirds.
Juggling between the Cost and Value of New Therapies: Does Science Still Serve Patient Needs?
Authors: Eleftheriou Androulla , Farmakis Dimitrios , Englezos Panos , Tuli Shobha , Mylona Elena , Constantinou George , Elbard Riyad , Al-Awadhi Saeed Jafaar , Al-Nahyan Sheikha Sheikha Bint Seif , Ficarra Robert , Saad Michelle Abi , Skafi Anton , Brunetta Loris Angelo , Hashemi Fatemeh , Michalaki Eleni , Baset Mohd Merdas Abdul , Angastiniotis Michael
Published: January 2023

Thalassaemia International Federation (TIF), representing the united voice of people with thalassaemia and their families globally, has been striving for more than three decades to empower research, by academic communities and industry, to focus on developing a safe and effective curative approach for thalassaemia. Such a cure would lead to new lives with equal opportunities and challenges, as for every other person not suffering from a severe chronic disease. A gene therapy product was finally authorised in May 2019 by the European Medicinal Agency, thus marking a milestone in the history of the disease. However, after this conditional authorization, everyone focused on numbers and opted for cost of illness and cost-effectiveness studies, inadmissibly ignoring patients’ voices and needs. The product was finally withdrawn from Europe, despite the fact that all implicated stakeholders, including governments, academia and industry always knew that an innovative and complex therapy would be expensive but always supported and fought for its development. In this article, TIF expresses its view on this issue, including some thoughts on how to address the high cost of innovative therapies.
Cardiovascular Complications in β-Thalassemia: Getting to the Heart of It
Authors: Akiki Nathalie , Hodroj Mohammad H. , Bou-Fakhredin Rayan , Matli Kamal , Taher Ali T.
Published: January 2023

Beta thalassemia is an inherited disorder resulting in abnormal or decreased production of hemoglobin, leading to hemolysis and chronic anemia. The long-term complications can affect multiple organ systems, namely the liver, heart, and endocrine. Myocardial iron overload is a common finding in β-thalassemia. As a result, different cardiovascular complications in the form of cardiomyopathy, pulmonary hypertension, arrhythmias, and vasculopathies can occur, and in extreme cases, sudden cardiac death. Each of these complications pertains to underlying etiologies and risk factors, which highlights the importance of early diagnosis and prevention. In this review, we will discuss different types of cardiovascular complications that can manifest in patients with β-thalassemia, in addition to the current diagnostic modalities, preventive and treatment modalities for these complications.
Comprehensive Review of Compressed Air Energy Storage (CAES) Technologies
Authors: Rabi Ayah , Radulovic Jovana , Buick James
Published: January 2023

As renewable energy production is intermittent, its application creates uncertainty in the level of supply. As a result, integrating an energy storage system (ESS) into renewable energy systems could be an effective strategy to provide energy systems with economic, technical, and environmental benefits. Compressed Air Energy Storage (CAES) has been realized in a variety of ways over the past decades. As a mechanical energy storage system, CAES has demonstrated its clear potential amongst all energy storage systems in terms of clean storage medium, high lifetime scalability, low self-discharge, long discharge times, relatively low capital costs, and high durability. However, its main drawbacks are its long response time, low depth of discharge, and low roundtrip efficiency (RTE). This paper provides a comprehensive review of CAES concepts and compressed air storage (CAS) options, indicating their individual strengths and weaknesses. In addition, the paper provides a comprehensive reference for planning and integrating different types of CAES into energy systems. Finally, the limitations and future perspectives of CAES are discussed.
Pros and Cons of Dual-Energy CT Systems: “One Does Not Fit All”
Authors: Borges Ana P. , Antunes Célia , Curvo-Semedo Luís
Published: January 2023

Dual-energy computed tomography (DECT) uses different energy spectrum x-ray beams for differentiating materials with similar attenuation at a certain energy. Compared with single-energy CT, it provides images with better diagnostic performance and a potential reduction of contrast agent and radiation doses. There are different commercially available DECT technologies, with machines that may display two x-ray sources and two detectors, a single source capable of fast switching between two energy levels, a specialized detector capable of acquiring high- and low-energy data sets, and a filter splitting the beam into high- and low-energy beams at the output. Sequential acquisition at different tube voltages is an alternative approach. This narrative review describes the DECT technique using a Q&A format and visual representations. Physical concepts, parameters influencing image quality, postprocessing methods, applicability in daily routine workflow, and radiation considerations are discussed. Differences between scanners are described, regarding design, image quality variabilities, and their advantages and limitations. Additionally, current clinical applications are listed, and future perspectives for spectral CT imaging are addressed. Acknowledging the strengths and weaknesses of different DECT scanners is important, as these could be adapted to each patient, clinical scenario, and financial capability. This technology is undoubtedly valuable and will certainly keep improving.
Radiation Dose Assessment for Myocardial Perfusion Imaging: A Single Institution Survey
Authors: Alkhybari Essam , Albeshan Salman , Alanazi Bandar , Alfarraj Raghad , Alduhaim Rakan , El Bez Chanem Intidhar , Tulbah Rima
Published: January 2023

Objective: This study aims to establish a local diagnostic reference level (LDRL) for single-photon emission tomography/computed tomography (SPECT/CT) and positron emission tomography/CT (PET/CT) with respect to myocardial perfusion imaging (MPI). Materials and Methods: The acquisition protocol and dosimetry data on the MPI procedures of five SPECT/CT scans and one PET/CT scan were collected. Data on technitum-99m sestamibi (99mTc-sestamibi), 99mTc-tetrofosmin, thallium-201 (201Tl), and rubidium-82 (82RB) were all collected from one centre via questionnaire booklets. Descriptive data analysis was used to analyse all variables, and the 50th percentile was used to analyse each radiation dose quantity. Results: The reported 50th percentile dose for a one-day stress/rest protocol using 99mTc-sestamibi (445/1147 MBq) and 99mTc-tetrofosmin (445/1147 MBq) and for a two-day stress/rest protocol using 99mTc-sestamibi (1165/1184 MBq) and 99mTc-tetrofosmin (1221/1184 MBq) are in good agreement with reported national diagnostic reference levels (NDRLs). However, the dose from the study data on a one-day stress/rest protocol using 99mTc-sestamibi was more than the 50th percentile dose from the Brazilian data (370/1110 MBq) on a similar protocol, and the dose from the study data on a two-day stress/rest protocol using 99mTc-tetrofosmin was more than the 50th percentile dose (1084/1110 MBq) from the United States data on MPI scans. Regarding the computed tomography (CT) portion of the SPECT/CT framework, the 50th percentile doses were lower than all the identified doses in the data considered in the literature reviewed. However, regarding the CT component of the PET/CT MPI scans, the 82RB dose was more than the recorded doses in the CT data in the published literature. Conclusion: This study determined the LDRL of five SPECT/CT protocols and one PET/CT MPI protocol. The results suggest that there may be opportunities to optimise the patient radiation burden from administered activities in patients undergoing SPECT examinations and the CT components associated with 82RB PET/CT scans without compromising diagnostic image quality.