bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perception of Pitch and Duration Pattern of Vowel /a/: A Comparison across Age and Gender in 5 to 9 Years Old Children
Authors: Neupane Anuj Kumar , Vanaja C.S. 
Published: August 2024

Abstract
Objectives The present study aimed to develop pitch pattern test (PPT) and duration pattern test (DPT) using vowel and investigate the temporal ordering skills among typically developing children aged 5 to 9 years across genders. The study compared the performance of children on these tests across different age groups and gender. The study also investigated the relationship between performance on the DPT and PPT tasks using the vowel /a/.
Materials and Methods Two verbal stimuli tests, DPT and PPT, were developed. For DPT, the vowel /a/ was used at 246 Hz and had two different durations of 500 and 250 ms for long and short stimuli, respectively, with a 300-ms interstimulus interval. For PPT, the vowel /a/ was used at 220 Hz for “low” stimuli and 261 Hz for “high” stimuli, both lasting 500 ms, with a 300-ms interstimulus duration and a 6-second intersequence duration.A cross-sectional study design was utilized in the study. A total of 100 typically developing school children aged between 5 and 9 years were divided into five age groups, each consisting of 10 males and 10 females. All children passed a hearing screening at 25 dB HL from 250 Hz to 4,000 Hz and had an average or above-average academic performance as reported by their teacher. All the children were tested using the developed tests. The order of administration of DPT and PPT was randomized. Children were instructed to listen to the sequence of vowel presentations and hum them in the same order.
Results There was no significant difference between scores of males and females across all the age groups. On both tests, there was a significant improvement in the performance of the children with increase in age. There was a strong overall correlation between scores of DPT and PPT.
Conclusion Both DPT and PPT, utilizing vowels as stimuli, did not exhibit a ceiling effect. This study highlighted a robust correlation between the two tests.
Fantasies of cultural sovereignty and national unity: Russia?s ontological (in)security and its assertion of ?spiritual-moral values??
Authors: Prina Federica 
Published: August 2024

AbstractDrawing on ontological security studies and Lacanian theory, the article examines the role of ?spiritual-moral values? (SMV) in Russian politics. It argues that SMV have been employed by the Russian political elite to construct an (illusory) sense of ontological security, presented as attainable via the promotion of sovereignty and national unity. Through the analysis of policy documents and Vladimir Putin?s speeches for the period 2012?2023, the article outlines three interlocking narratives: (a) Russian cultural norms are under attack; (b) attacks can be resisted through cultural sovereignty, with SMV playing a crucial role; and (c) the Russian population is united through the same SMV. These narratives (?fantasies? in the Lacanian sense) create promises destined to remain unfulfilled: cultural sovereignty is based on the unrealistic belief that culture can remain unaltered, while existing policies fragment society, causing the ontological insecurity of ethnic and sexual minorities, but also the Russian population more widely.
Ab initio extended Hubbard model of short polyenes for efficient quantum computing
Authors: Yoshida Yuichiro , Takemori Nayuta , Mizukami Wataru 
Published: August 2024

We propose introducing an extended Hubbard Hamiltonian derived via the ab initio downfolding method, which was originally formulated for periodic materials, toward efficient quantum computing of molecular electronic structure calculations. By utilizing this method, the first-principles Hamiltonian of chemical systems can be coarse-grained by eliminating the electronic degrees of freedom in higher energy space and reducing the number of terms of electron repulsion integral from O(N4) to O(N2). Our approach is validated numerically on the vertical excitation energies and excitation characters of ethylene, butadiene, and hexatriene. The dynamical electron correlation is incorporated within the framework of the constrained random phase approximation in advance of quantum computations, and the constructed models capture the trend of experimental and high-level quantum chemical calculation results. As expected, the L1-norm of the fermion-to-qubit mapped model Hamiltonians is significantly lower than that of conventional ab initio Hamiltonians, suggesting improved scalability of quantum computing. Those numerical outcomes and the results of the simulation of excited-state sampling demonstrate that the ab initio extended Hubbard Hamiltonian may hold significant potential for quantum chemical calculations using quantum computers.
Magnetic and electronic properties of double perovskite Sr2CrMoO6 for spintronic applications: insights from first-principles and Monte Carlo approaches
Authors: Kerrai H , Zaim N , Kerouad M , Zaim A 
Published: August 2024

Abstract
In this work, we studied the electronic and magnetic properties of the double perovskite Sr2CrMoO6 using ab initio calculations with generalized gradient approximation (GGA) and Monte Carlo (MC) simulations. The compound has two magnetic sublattices: one occupied by Mo5+ with spin (

S
=

1

2

) and the other by Cr3+ with spin (

σ
=

3

2

). The results showed half-metallic behavior with a total magnetic moment of 2.0 μ

B
. Using Monte Carlo simulations, we investigated the phase transitions and observed interesting phenomena such as a critical endpoint and both second-order and first-order phase transitions. Additionally, the results revealed compensation points for specific values of the crystal field.
On the Energy Budget of Starquake-induced Repeating Fast Radio Bursts
Authors: Wang 王 Wei-Yang 维扬 , Zhang 张 Chen 晨 , Zhou 周 Enping 恩平 , Liu 刘 Xiaohui 小辉 , Niu 牛 Jiarui 佳瑞 , Zhou 周 Zixuan 子轩 , Gao 高 He 鹤 , Liu 刘 Jifeng 继峰 , Xu 徐 Renxin 仁新 , Zhang 张 Bing 冰 
Published: August 2024

Abstract
With a growing sample of fast radio bursts (FRBs), we investigate the energy budget of different power sources within the framework of magnetar starquake triggering mechanism. During a starquake, the energy can be released in any form through strain, magnetic, rotational, and gravitational energies. The strain energy can be converted from three other kinds of energy during starquakes. The following findings are revealed: (1) The crust can store free magnetic energy of ∼1046 erg by existing toroidal fields, sustaining 106 bursts with frequent starquakes occurring due to crustal instability. (2) The strain energy develops as a rigid object spins down, which can be released during a global starquake accompanied by a glitch. However, it takes a long time to accumulate enough strain energy via spindown. (3) The rotational energy of a magnetar with P ≲ 0.1 s can match the energy and luminosity budget of FRBs. (4) The budget of the total gravitational energy is high, but the mechanism and efficiency of converting this energy to radiation deserve further exploration.
Sunspot Group Detection and Classification by Dual Stream Convolutional Neural Network Method
Authors: Mkwanda Nyasha Mariam , Tian Weixin , Li Junlin 
Published: August 2024

Abstract
The automatic detection and analysis of sunspots play a crucial role in understanding solar dynamics and predicting space weather events. This paper proposes a novel method for sunspot group detection and classification called the dual stream Convolutional Neural Network with Attention Mechanism (DSCNN-AM). The network consists of two parallel streams each processing different input data allowing for joint processing of spatial and temporal information while classifying sunspots. It takes in the white light images as well as the corresponding magnetic images that reveal both the optical and magnetic features of sunspots. The extracted features are then fused and processed by fully connected layers to perform detection and classification. The attention mechanism is further integrated to address the “edge dimming” problem which improves the model’s ability to handle sunspots near the edge of the solar disk. The network is trained and tested on the SOLAR-STORM1 data set. The results demonstrate that the DSCNN-AM achieves superior performance compared to existing methods, with a total accuracy exceeding 90%.
Entropic uncertainty relations and entanglement detection from quantum designs
Authors: Zhao Yundu , Huang Shan , Wu Shengjun 
Published: August 2024

Abstract
Uncertainty relations and quantum entanglement are pivotal concepts in quantum theory. Beyond their fundamental significance in shaping our understanding of the quantum world, they also underpin crucial applications in quantum information theory. In this article, we investigate entropic uncertainty relations and entanglement detection with an emphasis on quantum measurements with design structures. On the one hand, we derive improved Rényi entropic uncertainty relations for design-structured measurements, exploiting the property that the sum of powered (e.g. squared) probabilities of obtaining different measurement outcomes is now invariant under unitary transformations of the measured system and can be easily computed. On the other hand, the above property essentially imposes a state-independent upper bound, which is achieved at all pure states, on one’s ability to predict local outcomes when performing a set of design-structured measurements on quantum systems. Realizing this, we also obtain criteria for detecting multipartite entanglement with design-structured measurements.
Evaluating environmental and economic efficiency of a super-intensive Vannamei shrimp farm for nutrient flow circulation
Authors: Thi Phuong Thao Nguyen , Van Tung Tra , Le Minh Tri Nguyen , Viet Thang Nguyen , Thanh Hai Le , Thi Thu Thao Nguyen , Quoc An Nguyen 
Published: August 2024

Abstract
Shrimp farming has provided several significant economic benefits to the residents of the Mekong Delta region. However, it posed numerous environmental concerns due to high nutrient content in wastes. Therefore, the purpose of this study is to assess the nutrient recovery efficiency from a super-intensive shrimp pond system for nutrient circulation. The material flow analysis tool was used to analyze the effectiveness of allocating nutrients (nitrogen, phosphorus, and carbon) in the research area’s super-intensive Vannamei shrimp farming system, and then construct a material flow circulating system. The findings revealed that in the current system, the amount of nutrients that shrimp absorb is 26.3% TN, 12.2% TP and 17.5% TOC. This study designed a system using circulating fluxes of nutrients. This system combines settling ponds and biological sedimentation ponds as well as composting and biogas digester solutions. The proposed system also reduces input nutrient costs by 53.6% TN, 62.8% TP and 40% TOC. On the other hand, the proposed system will meet the amount of heat for cooking for the 3 households and generate 1 ton of compost/crop for the garden.
Adsorption of Arsenate from Water by Iron-Chitosan Modified Fly Ash
Authors: Tran V Q , Nguyen T N , Nguyen T H , Tran V S 
Published: August 2024

Abstract
Group F fly ash which was obtained from Pha Lai Thermal Power Plant (Hai Duong, Vietnam) is used as a raw material for zeolite preparation. CTS-ZFA-Fe3O4 adsorbent is a zeolite composite material combined with chitosan modified with iron salts to remove As(V) from water. The granules have advantages such as biodegradability, economy and ease of separation. SEM, FTIR and XRF methods are utilized to characterize the material. The experimental data showed that the material was successfully modified by adding iron oxide and amine group from chitosan. These functional groups contributed significantly to the improvement of As(V) adsorption in solution. Furthermore, the bond of C=N is obtained from the cross-linking reaction between glutaraldehyde and chitosan improve structure of adsorbent. From batch experiments, it was found that the material could adsorb As(V) at pH 3 optimally, reaching an adsorption capacity of 160 μg/g. As(V) was completely adsorbed by CTS-ZFA-Fe3O4 material at the dosage of 10g/L and reached equilibrium after 180 min. Since then, the As(V) adsorption mechanism is related to electrostatic interactions between As(V) anions with OH2
+ and NH3
+ (positively charged groups) existing on the adsorbent’s surface at low pH conditions. Moreover, the formation of arsenic complexes (As-N, As(V)-Fe) is also believed to be the adsorption mechanism of post-modified zeolite materials.
Physiological and Psychological Effects of Walking in and Viewing Autumn Forests in Urban Park in Japanese and Indonesian Adults
Authors: Pratiwi PI , Xiang Q , Xie Z 
Published: August 2024

Abstract
Park therapy can improve mental health and reduce stress levels. We investigated how walking in and viewing autumn forests affected people’s physiological and psychological responses. The experiments were carried out on one walking route to one viewing point in urban park and city street and involved 20 adults. Blood pressure and heart rate were monitored to evaluate physiological effects, while the Profile of Mood States and the State-Trait Anxiety Inventory were employed to assess psychological effects. Walking along the edge of an autumn forest may have resulted in a lower heart rate and systolic blood pressure than walking in the city street. The average heart rate of Japanese adults was significantly lower than that of Indonesians. All negative mood states were lower; vigor was higher after viewing autumn forests in Indonesians than in Japanese. Confusion, tension, and total mood disturbance were lower in Japanese than in Indonesians after viewing the autumn forest. The anxiety level was lower after walking among Indonesians and viewing the autumn forest among all adults. Finally, walking in and viewing autumn forests in an urban park leads to physiological and psychological relaxation.
Bird Habitat Suitability Analysis of The New City Centre Gede Bage Bandung Using Landscape Metrics
Authors: Hutriani I W 
Published: August 2024

Abstract
One focus of landscape ecology studies is the study of landscape patterns. Understanding the landscape patterns can help to find suitable habitat for the development or restoration of wildlife habitats, which can partly be expressed quantitatively with measurable or computable indicators by Geographic Information System, i.e. landscape metrics. This paper aims to analyze suitable habitat for bird habitat in The New City Centre in Gede Bage Bandung using statistical relationships between the occurrence of birds and the landscape pattern. Our study focus on habitat for Javan Pond Heron (A. speciosa) and Cattle Egret (B. ibis), two bird species which has been lived since 1970 in Ranca Bayawak Village inside The New City Centre Gede Bage Bandung. This study using landscape metrics software FRAGSTAT 4.2, parameter characterising landscape pattern were determined for the UTM 4 km x 4 km cells covering the whole of The New City Centre Gede Bage Bandung. The characteristic bird habitat define based on three types of landscape pattern : built-up areas, green spaces and water bodies. The study results based on statistical calculations found green spaces landscape metrics especially paddy field, forest and green open spaces are suitable for bird habitat, the type of patch that has the second largest patch size from total area. From statistical calculations also known built-up areas landscape metrics has the highest probability of fragmentation and the highest edge effect as a result of The New City Centre Gede Bage Bandung development.
Ann Prediction of Mechanical Properties of GGBFS and Alccofine Based High Strenth Self-Compacting Concrete
Authors: Tabassum Nazia , Bowaj Abhishek J , Vijay Manu , Naveen Kumar S M , Kabeer Ahmed Shaik , Akihla CG 
Published: August 2024

Abstract
In this study, we use Artificial Neural Networks (ANN) and Multiple Regression Analysis to evaluate the prediction of two crucial self-compacting concrete properties: compressive strength and split tensile strength. It was possible to create four different datasets, each of which had different concrete mix proportions along with their respective ages in days, compressive strengths (MPa), and split tensile strengths (MPa). Separate ANN models and Regression models were trained and tested using these datasets. As a gauge of prediction accuracy, Mean Squared Error (MSE) was used to assess the performance of the models. This study offers insightful information on the application of multiple regression analysis and artificial neural networks to forecast the characteristics of self-compacting concrete using GGBS and Alccofine. Here Alccofine functions as an additive and GGBS acts as a partial substitute for cement at 0 to 60% with a fluctuation of 10%. The outcomes highlight the potential of neural networks as a tool for concrete mix design optimization and quality control since they can capture complex correlations between input variables and concrete strength.
Review on Performance of Nano Silica and GGBS Blended Self Compacting Concrete
Authors: Karanth Mr. Pradeep , Srindhi Mr. P. 
Published: August 2024

Abstract
Concrete has a very significant impact on the atmosphere since Ordinary Portland cement one of the raw material during its production process produces carbon dioxide in large amounts. The impact of concrete structures on the environment may lessen by augmenting the robustness and resilience. The Nano-level arrangement of concrete may be altered by adding a tiny amount of Nano-silica (NS). Since NS forms a paste of calcium silicate-hydrate (C-S-H) through a pozzolanic reaction with calcium hydroxide, it has amassed significant attention when compared to other Nano materials by successfully densifying and strengthening the concrete’s matrix. The present review paper focuses on examining the effects of NS and ground granulated blast furnace slag (GGBS) in various concentrations on the fresh and mechanical properties of Self Compacting Concrete(SCC). It is predicted that this review article will yield fresh concepts for the beneficial use of NS and GGBS in the construction sector and for future research in the field.
Prediction of ferromagnetism in GaN:Ag and SiC:Ag nanotubes
Authors: Jafarova Vusala Nabi , Rzayeva Sevda Sabir , Scurtu Ionut Cristian , Stanca Costel , Acomi Nicoleta , Raicu Gabriel 
Published: August 2024

Abstract
Ferromagnetism in single-walled (6,0) GaN(SiC):Ag nanotubes were studied based on ab initio simulations within a pseudopotential method. For the GaN:Ag single-walled nanosystems, the width of the band gap reduces with the increase of dopant concentration. While Ag-doped SiC nanotubes, the band gap of majority-spin states decrease and these systems show metallic character. The first-principles results of total energies for SiC(GaN):Ag nanotubes predicted the stability of the ferromagnetic and antiferromagnetic phase, respectively. The obtained values of total magnetic moments of Ag-GaN and Ag-SiC systems are ∼2.0 and ∼3.2 μB, respectively. The analysis of the results of density of states show the significant contribution to the magnetization of both defected GaN:Ag and SiC:Ag systems come from three nitrogen and carbon atoms which are bonded with the dopant. First-principles investigation, suggest that the SiC(GaN):Ag nanotubes can be made into magnetic materials, and these are promising candidates for electronic, optoelectronic, and spintronic devices.
Study on properties of alkali activated titanium gypsum artificial aggregate concrete
Authors: Guo Lixia , Wang Hao , Zhong Ling , Zhang Jianwei 
Published: August 2024

Abstract
In order to solve the problem of raw material shortage and solid waste disposal in the construction industry, titanium gypsum was used as raw material to prepare titanium gypsum artificial aggregate by alkali-activated cold bonding. The physical properties and microstructure of aggregates were studied, they were used to replace natural aggregates in unfired bricks. The unburned aggregate of ternary cementitious material system (titanium gypsum, cement, silica fume) was designed, and the best artificial aggregate ratio was selected by physical performance analysis, XRD and SEM analysis. The unburned bricks were prepared by replacing natural gravel with different replacement rates. The physical properties and durability were analyzed by physical test, dry and wet cycle test, and the best utilization method was sought. Main research contents and conclusions: (1) When the ratio of titanium gypsum: cement: silica fume = 7: 2: 1, NaOH: CaO = 1: 1 as the activator, the comprehensive performance of artificial aggregate is the best. According to XRD and SEM analysis, the main products in the titanium gypsum artificial aggregate system are C-S-H and AFt. (2) The compressive strength of the unburned brick prepared by titanium gypsum artificial aggregate completely replacing natural gravel reached 31.40 MPa, and the water absorption rate was 10.18 %. The unburned brick specimens with different substitution rates showed good dry-wet cycle resistance after 15 dry-wet cycles.
The Politics of the Self
Authors: Lenman James 
Published: August 2024

Abstract
This chapter focuses on certain central features of ourselves which play a key role in the constitution of normativity. In particular it focuses on the fact that our desires and concerns are pervasively subject to conflict both interpersonally and intrapersonally and the fact that our desires and concerns relate not just to our present but to our lives over time. Sometimes we choose to act in ways we come to regret, in ways that give purchase in our normative thought to ideas of error, of getting things wrong, or right. We endeavour to avoid error and manage conflict by reflecting and deliberating on our desires and concerns, seeking to arrive at and sustain a coherent understanding of what is most important to us that is stable under reflective scrutiny and can guide us in seeking to live lives we can live with living, that can bear our survey. In doing this we are pursuing coherence, but we cannot and should not follow Kantians who would make of coherence a kind of master value. The concerns that shape our deliberation are not merely formal but substantive and grounded in the contingencies of our normative sensibilities. The chapter concludes with a critical discussion of Christine Korsgaard’s influential Kant-inspired understanding of normativity as grounded in the pursuit of coherence which she takes to be constitutive of agency.
Tenth Century I
Authors: Howard-Johnston James 
Published: August 2024

Abstract
The most serious domestic crisis in the age of revival took the form of a challenge to the crown from the powerful, a hybrid aristocracy of servants and ex-servants of the state who had acquired landed estates in the provinces. It played out in all three zones of Asia Minor but mainly in the interior plateau. The integrity of the peasant village was threatened and there was a danger that the powerful might interpose themselves between the centre and the localities. Of the various weapons available to the crown (control over appointments, legislation, the security services), two of the most effective were increased wealth from its monopolization of vacated lands in conquered emirates and the creation of a counterweight to the indigenous powerful of the plateau by resettlement of client Armenian princes and their followings on crown lands.