bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiative cooling sorbent towards all weather ambient water harvesting
Authors: Zhu Wenkai , Zhang Yun , Zhang Chi , Shan Xiwei , Rao Akshay K. , Pitts Sarah L. , Woodbury Travest J. , Masnyk Tanya Sophia , Derome Dominique , Warsinger David M. , Ruan Xiulin , Mauer Lisa J. , Carmeliet Jan , Li Tian 
Published: June 2023

AbstractEmerging atmospheric water harvesting (AWH) technologies hold promise for water supply to underdeveloped regions with limited access to liquid water resources. The prevailing AWH systems, including condensation- or sorption-based, mostly rely on a single mechanism limited by working conditions and inferior performance. Here, we synergistically integrate multiple mechanisms, including thermosorption effect, radiative cooling, and multiscale cellulose-water interactions to improve the water harvesting performance with minimal active energy input over a relative humidity (RH) range between 8% to 100%. The proposed system consists of a scalable and sustainable cellulose scaffold impregnated with hygroscopic lithium chloride (LiCl). Cellulose scaffold and LiCl synergistically interact with water at molecular, nanometer, and micrometer scales, achieving a high yield (2.5–16 kg kg−1at 60–90% RH). The captured water in return facilitates radiative cooling due to its intrinsically high infrared emissivity. An outdoor batch-mode AWH device shows a water uptake up to 6.75 L kg−1day−1with a material cost as low as 3.15–5.86 USD kg−1. A theoretical model is also proposed to elucidate the synergistic AWH mechanisms among cellulose-LiCl-water-energy interaction. This AWH strategy provides a potential solution to water scarcity problems in regions with larger seasonal and climate variations, especially arid areas.
Enhancing the blockchain interoperability through federated learning with directed acyclic graph
Authors: Xia Feng , Kaiye Li , Songze Wu , yan Xin 
Published: June 2023

AbstractThe use of federated learning to achieve blockchain interoperability has become a hot topic in research, because it enables data exchange without revealing any private information. However, the previous work, such as ScaleSFL (Asia‐CCS, 2022), that has implemented federated learning for blockchain interoperability, the throughput of the framework still cannot support the practical applications. Therefore, a federated learning framework based on Directed Acyclic Graph (DAG) is proposed which utilizes sharding mechanism to enhance the blockchain interoperability. By constructing a weighted context graph based on data correlation, reasonable sharding of the dataset is achieved, thereby improving the efficiency of blockchain interoperability. The experimental results show that the federated framework reduces global computation in federated learning by 30% compared with other schemes, while increasing blockchain throughput by nearly 40%.
Hybrid analytical model for air‐gap magnetic field prediction of surface‐mounted permanent magnet motors with a quasi‐regular polygon rotor
Authors: Chen Chuntao , Wu Xinzhen , Yuan Xibo , Ding Zhuang , Zheng Xiaoqin 
Published: June 2023

AbstractIn this article, a hybrid analytical model for a quasi‐regular polygon rotor (QPR) is proposed. It mainly uses the subdomain method and conformal mapping to solve a non‐circular boundary in the QPR. Firstly, the subdomain method combined with an equivalent surface current method is used to calculate the air‐gap magnetic field considering a slotted stator with a circular rotor. Secondly, by segmenting the non‐circular boundary in the QPR, the complex relative air‐gap permeance of the QPR can be calculated using the conformal mapping. Thirdly, this complex relative air‐gap permeance modifies the air‐gap magnetic field calculated in the first step to obtain the actual magnetic field distributions. Consequently, no‐load and loaded air‐gap flux densities, back‐electromotive force and torque can be obtained. A 12‐pole/3‐phase permanent magnet motor is modelled using the proposed hybrid analytical model, which is validated by finite‐element analysis and experiment. This proposed hybrid analytical model presents a new way of processing the QPR. Its calculation speed is nearly 50 times faster than the finite‐element analysis, which is of great help to the initial design and optimisation of machines with QPRs.
Optimal decision‐making method of transmission lines' maintenance sequence under extreme ice disasters
Authors: Wang Haitao , Yang Zedong , Wang Ning , Jiang Haiyang , Cui Yu , Han Jinchi , Li Shuguang , Wang Changjiang 
Published: June 2023

AbstractProlonged exposure of power transmission lines to extreme ice disasters in the atmosphere disrupts transmission. First, this study establishes a comprehensive failure probability model for the impact of extreme ice disasters on the transmission lines to better understand and improve the transmission lines' ability to withstand such disasters. It predicts the line failure probability based on the initial design data of the lines. Second, the system's weak points are identified, and the fault scenario set is established using the Monte Carlo state sampling method. Next, the system's state is calculated using the resilience assessment index and the DC optimal load reduction model. Finally, an optimal decision‐making method for the transmission line maintenance sequence is proposed from the post‐disaster maintenance scheduling perspective. Considering the travel time and maintenance effect, this method can effectively restore the system state in response to extreme ice disasters. The IEEE 30‐bus power system is taken as an example of simulation verification. The results show that this method can effectively complete the system load state restoration and improve the transmission system's resilience. It also has certain practicality and good practical application values.
A discriminant analysis of the P3b wave with electroencephalogram by feature‐electrode pairs in schizophrenia diagnosis
Authors: Arribas Juan I. , San‐José‐Revuelta Luis M. 
Published: June 2023

AbstractSchizophrenia is a disease that affects approximately 1% of the population. Its early accurate diagnosis is of vital importance to apply adequate therapy as soon as possible. We present a Statistical Discriminant Diagnosing (SDD) system that discriminates between healthy controls and subjects and that supports diagnosis by a medical professional. The system works with {feature, electrode} EEG pairs which are selected based on the statistical significance of the p‐values computed over the brain P3b wave. A bank of evoked potential pre‐processed and filtered EEG signals is recorded during an auditory odd‐ball (AOD) task and serves as input to the SDD system. These EEG signals comprise 20 features and 17 electrodes, both in time (t) and frequency (f) domain. The relevance of the Parieto‐Temporal region is shown, allowing us to identify highly discriminant {feature, electrode} pairs in the detection of schizophrenia, resulting lower p‐values in both Right and Left Hemispheres, as well as in Parieto‐Temporal EEG signals. See for instance, the {PSE, P4} pair, with p‐value = 0.00003 for (parametric) t Student and p‐value = 0.00019 for (nonparametric) U Mann‐Whitney tests, both under the 15 Hz cutoff frequency of a low pass EEG preprocessing filter. The relevance of this pair is in agreement with previously published related results. The proposed SDD system may provide the human expert (psychiatrist) with an objective complimentary information to help in the early diagnosis of schizophrenia.
Adverse Drug Reaction Reporting in Geriatric Oncology in India: An Understudied Topic that Needs Attention
Authors: Kuriachan Sanitha , Palatty Princy Louis , George Thomas , Baliga Manjeshwar Shrinath 
Published: June 2023

AbstractIn the elderly, polypharmacy is a common problem, and drug interactions and adverse drug reactions (ADR) have been linked to considerable harm in several population-based studies. However, when compared with other medical disciplines, studies with elderly cancer patients are lacking in oncology and India in particular. Additionally, intake of multiple drugs and, at times, potentially inappropriate medications (PIMs) are also common in older cancer patients. Physiologically, the body's metabolic functions are reduced in the elderly, resulting in altered medication pharmacokinetics and pharmacodynamic characteristics. There is also a high risk of aging-related disorders, and an increase in pharmaceutical use. Because cancer can affect the physiological milieu, patients are more likely to experience negative drug responses, drug–disease interactions, and drug–drug interactions, thereby making the elderly more vulnerable to the ill effects. Considering this, there is a need for greater knowledge and measures that try to lessen exposure to and the risks connected to drug combinations that might be detrimental. As the geriatric population grows, the need to address medical issues among aging cancer patients becomes more pressing, particularly in India. As far as the authors are aware, there is no review that addresses the drug–drug interactions and adverse drug responses brought on by polypharmacy in older cancer patients. It is expected that this endeavor will help the fraternity and the patients, and will serve as a valuable academic material for the health care students.
Disentangling the cultural evolution of ancient China: a digital humanities perspective
Authors: Duan Siyu , Wang Jun , Yang Hao , Su Qi 
Published: June 2023

AbstractBeing recognized among the cradles of human civilization, ancient China nurtured the longest continuous academic traditions and humanistic spirits, which continue to impact today’s society. With an unprecedented large-scale corpus spanning 3000 years, this paper presents a quantitative analysis of cultural evolution in ancient China. Millions of intertextual associations are identified and modelled with a hierarchical framework via deep neural network and graph computation, thus allowing us to answer three progressive questions quantitatively: (1) What is the interaction between individual scholars and philosophical schools? (2) What are the vicissitudes of schools in ancient Chinese history? (3) How did ancient China develop a cross-cultural exchange with an externally introduced religion such as Buddhism? The results suggest that the proposed hierarchical framework for intertextuality modelling can provide sound suggestions for large-scale quantitative studies of ancient literature. An online platform is developed for custom data analysis within this corpus, which encourages researchers and enthusiasts to gain insight into this work. This interdisciplinary study inspires the re-understanding of ancient Chinese culture from a digital humanities perspective and prompts the collaboration between humanities and computer science.
Factors influencing home care workers’ loyalty in long-term nursing services
Authors: Hsu Wei , Chao Yen-Chi , Yang Chih-Hao 
Published: June 2023

AbstractGiven the high prevalence of clinical disease and disability among elderly individuals, there is an ever-greater demand for social care services. Despite this demand, the elder care sector has the largest labor shortage levels among all front-line providers of long-term care services. Strategies to reduce turnover and improve employee loyalty have therefore become an important issue. The purpose of this study is to identify the factors that affect the loyalty of home care workers. Following a literature review, wedetermined four independent variables—job satisfaction, work engagement, organizational citizenship behavior (OCB) and transformational leadership—and investigated their relevance to, and ability to predict, home care workers’ employee loyalty. A total of 455 home care workers participated in the anonymous survey. The results of multiple regression analysis indicate that the adjusted coefficient of determination (R2) of the model explained 65.6% of the variance of the dependent variable, showing high explanatory capacity. The influences of the four independent variables on employee loyalty were all significant and positive, with the greatest impact on employee loyalty being exerted by OCB (Adjusted ß = 0.400), followed by job satisfaction and then transformational leadership. The three hierarchical regression models provided evidence for the partial mediating effect of job satisfaction, work engagement and OCB between transformational leadership and employee loyalty. Our findings suggest that managers of home care institutions should adopt a transformational leadership style to motivate home care workers’ job satisfaction, work engagement and OCB. Such an environment not only help retain employee but also attract more young people to join the ranks of the home care profession, which will help solve fundamental short-staffing problems.
Perception and production mismatch in truncated past tense verbs in
Korean
Authors: Crosby Drew , Dalola Amanda 
Published: June 2023

Abstract
Korean is often described as neutralizing its obstruents to
unreleased stops in coda position. However, a stylistic truncated form of the
intimate past tense expressing avuncularity, contradicts this description by
realizing a fricative word finally. Despite tokens elicited from informants
lacking phonetic evidence for a word-final vowel, speakers report hearing [ɨ]
word-finally in these truncated forms. The present article gives an optimality
theoretic (OT) account (McCarthy & Prince 1995) of this phenomenon by
utilizing Benua’s (1995)
base-truncated form (BT) constraints to explain the production of the form and
Boersma & Hamann’s (2008) cue constraints to explain the mismatch between
the production and perception in parallel to the treatment of loanwords. This
suggests that output-output constraints and perceptual cue constraints may
interact to create differences in phonological form between production and
perception, even within native phonologies, and lends further support for the
need for separate production and perception phonologies (Boersma 1999).
Nernst effect in anisotropic four-terminal topological nodal-line semimetals
Authors: Cheng Xue-Yan , Yang Ning-Xuan , Wang Rui , Song Chun-Yan , Liao Hui , Fan Ting 
Published: June 2023

Abstract
The Nernst effect is the transverse mode of thermoelectric transport, in which a longitudinal thermal gradient induces a transverse current in the conductor while under a perpendicular magnetic field. Here the Nernst effect in a mesoscopic topological nodal-line semimetals (TNLSMs) system of four-terminal cross-bar with the spin–orbit coupling under a perpendicular magnetic field is studied. The Nernst coefficient N

c
in two non-equivalen connection modes (k

z
–y mode and k

x
–y mode) is calculated based on the tight-binding Hamiltonian combined with the nonequilibrium Green’s function method. When the magnetic field is absent with φ = 0.0, the Nernst coefficient

N

c

=
0

is exactly regardless of the temperature. When the magnetic field is not zero, the Nernst coefficient exhibits a series of densely oscillating peaks. The height of peak strongly depends on the magnetic field, and the Nernst coefficient is an even function of the Fermi energy

E

F

satisfying the symmetrical property

N

c

(
−

E

F

)
=

N

c

(

E

F

)

. The Nernst coefficient is also closely related to the temperature

. When the temperature is very low (or

), the Nernst coefficient depends linearly on temperature. In the presence of a strong magnetic field, the Nernst coefficient shows peaks when the Fermi energy crosses the Landau levels. Under the weak magnetic field, the influence of spin–orbit coupling in TNLSMs materials on Nernst effect is very obvious. In the presence of the mass term, the PT-symmetry of the system is destroyed, the nodal ring of TNLSMs is broken and an energy gap will be opened. The Nernst coefficient N

c
has a large value in the energy gap, which is very promising for the application of the transverse thermoelectric transport.
A more convenient method to predict gravitational acceleration (g) using smartphone’s proximity sensor in a simple pendulum experiment
Authors: Hidayat Rahmat , Akmam Akmam , Susanti Eka , Febriani Annisa 
Published: June 2023

Abstract
The application of smartphones in physics learning is inevitable because of the advanced technology installed in them. The simple pendulum is a classical topic in physics relating to gravitational acceleration. Smartphones are equipped with a proximity sensor that can record the period of an oscillating pendulum. A method to determine gravitational acceleration (g) using a smartphone proximity sensor in a simple pendulum experiment was presented in this study. This proposed method is more convenient and straightforward because it does not require additional equipment apart from string and bob. Furthermore, the simplicity of this method is assisted by software used that is able to display directly the results of period measurement that subsequently were applied to calculate the gravitational acceleration (g). The string length was varied to analyze the consistency of measurement results. The calculated g values were compared to the local gravity value and produced a relative error with a range of 0.11%–0.54%. The reported g value combined with uncertainty propagation was 9.75 ± 0.02 ms−2.
Investigation of the muonic atoms distribution in materials through muonic x-rays momentum simulation using Geant4
Authors: Hu Yihao , Kuang Peng , Li Chong , Liu Fuyan , Wu Haibiao , Xiao Detao , Zhang Peng , Wang Baoyi , Cao Xingzhong , Wei Long 
Published: June 2023

Abstract
Determining the distribution of muonic atoms is essential for μ-X ray imaging. In this study, the generation and de-excitation of muonic atoms in multi-elemental targets were simulated using the Monte Carlo software toolkit Geant4. An approach that reconstructs the production sites of muonic atoms from the μ-X ray momentum is proposed. The imaging results indicated a high simulated spatial resolution of 0.1 mm and a significant increase in the detection efficiency compared to that achieved by the 3-mm pinhole imaging technique. In addition, an analysis of the image quality index (Q) revealed that a superior image quality can be achieved for elements with high and medium atomic numbers. The proposed method has the potential to be further developed into an accurate and efficient technique for positioning the distribution of elements.
Determining the calibration factor of Rn-220 by low-pressure scintillation cell
Authors: Fan Z , Xie R , Cai X , Hu T , Luo Y , Qin F , Qiu S , Tan Y , Shan J 
Published: June 2023

Abstract
Accurately measuring Rn-220 is crucial for evaluating natural radiation exposure. For the large volume of normal scintillation cell, the detection efficiencies for different energy of α particles decayed from Rn-222, Rn-220 and their progeny are varied. To address this, two systems of the low-pressure scintillation cell were designed to make the shortest range of α particles with minimum energy decayed from Rn-222 longer than the longest distance between any two points in the scintillation cell by reducing air pressure. Thus, the detection efficiencies of the low-pressure scintillation cell for α particles decayed from Rn-222, Rn-220 and their progeny are same. The detection efficiency of low-pressure scintillation cell for α particles can be obtained by the standard radon chamber, and then the calibration factor of Rn-220 can be determined by low-pressure scintillation. Several verification experiments were performed. The experimental results show that the detection efficiencies of Rn-222 and Rn-220 at the air pressure of 0.4 P are very close and become saturated for lower values of air pressure. The calibration factor of Rn-220 calculated using the detection efficiency (0.76 ± 0.04) at the air pressure of 0.4 P is 53.75 Bq m−3 min−1 ± 2.96 Bq m−3 min−1 (k = 1).
Construction of determinants for the six-vertex model with domain wall boundary conditions
Authors: Minin Mikhail D , Pronko Andrei G , Tarasov Vitaly O 
Published: June 2023

Abstract
We consider the problem of construction of determinant formulas for the partition function of the six-vertex model with domain wall boundary conditions that depend on two sets of spectral parameters. In the pioneering works of Korepin and Izergin a determinant formula was proposed and proved using a recursion relation. In later works, equivalent determinant formulas were given by Kostov for the rational case and by Foda and Wheeler for the trigonometric case. Here, we develop an approach in which the recursion relation is replaced by a system of algebraic equations with respect to one of the two sets of spectral parameters. We prove that this system has a unique solution. The result can be easily given as a determinant parametrized by an arbitrary basis of polynomials. In particular, the choice of the basis of Lagrange polynomials with respect to the remaining set of spectral parameters leads to the Izergin–Korepin representation, and the choice of the monomial basis leads to the Kostov and Foda–Wheeler representations.
LNG Type C, Cylindrical Weight Design Limitation Based on Shipbuiding Facilities
Authors: Wibowo D A , Sasmito C , Manti M F , Muis A , Iskendar  , Gutami N I , Qonita Z 
Published: June 2023

Abstract
Supporting climate change mitigation and sustainable energy due to its ability to reduce CO2, Liquefied Natural Gas (LNG) considered as promising alternative fuel. In a particular small market with LNG demand between 2,500 m3 to 7,500 m3, utilization of LNG type-C, cylindrical tanks are compatible to use in small-scale LNG carrier. In order to overcome these challenges, Indonesian industry need to design the tank’s volume and weight requirements.while also taking into account the capabilities of the shipbuilding facilities. The weight of the tank, which comprises the weight of the outer tank and dished end, are the decision variable in the approach for weight estimation analysis, which carried by using using extrapolation to search optimum diameter and length of the tank The objective function is maximization of the tank capacity. The capability of the lifting equipment in the shipyard is the limitation used in this paper. This research data is based on the shipyard capability of PT. PAL Indonesia, PT. Dok dan Perkapalan Kodja Bahari (Persero), PT. Industri Kapal Indonesia, and PT. Batamec Shipyard. Result obtained that maximum volume of 5,663.369 m3 LNG type C, weight about 450.671 tons with maximum crane lifting capacity in shipyard are 500 tons
The Development of Ship Recycling Facility Cluster in Indonesia
Authors: Hariyanto  , Gutami N I , Qonita Z , Shabrina N , Wibowo D A , Muhtadi A 
Published: June 2023

Abstract
With a number of 80.849 units ship operating in Indonesia, the Ministry of Transportation estimates that 29,944 units ship of those vessels have been in service for more than 20 years. Furthermore, recycling ships are necessary. Ship Recycling Facility (SRF) should be ecologically friendly following International Maritime Organization (IMO) policy under the Hong Kong International Convention. Docks, cranes, steel cutters, and warehousing are necessary. SRF facilities, along with ecologically suitable hazardous material treatment. If this facility became a cluster, it would operate more effectively. This study aims to provide a different area in Indonesia where a prospective SRF cluster could grow. This research uses Diamond Porter’s method to determine a country’s comparative economic advantage towards the SRF cluster in Alang City, Gujarat, India, which is the global leader in ship recycling. The factor conditions; related and supporting industries; demand conditions; and firm strategy, structure, and rivalry are all examined in this study. To accommodate ship owners, the SRF business, and the government in carrying out ship recycling, the results of this study are a reference for formulating specific regulations for the SRF cluster. This research found that Kamal and Bojonegara are viable for the SRF cluster.