bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanical properties and energy evolutions of burst-prone coal samples with holes and fillings
Authors: Fu Yukai , Wu Yongzheng , Li Junchen , Zhou Penghe , Sun Zhuoyue , He Jie 
Published: May 2024

AbstractDuring the mining process of impact-prone coal seams, drilling pressure relief can reduce the impact propensity of the coal seam, but it also reduces the integrity and strength of the coal mass at the side of the roadway. Therefore, studying the mechanical properties and energy evolution rules of coal samples containing holes and filled structures has certain practical significance for achieving coordinated control of coal mine rockburst disasters and the stability of roadway surrounding rocks. To achieve this aim, seven types of burst-prone coal samples were prepared and subject to uniaxial compression experiments with the aid of a TAW-3000 electro-hydraulic servo testing machine. Besides, the stress–strain curves, acoustic emission signals, DIC strain fields and other data were collected during the experiments. Furthermore, the failure modes and energy evolutions of samples with varying drilled hole sizes and filling materials were analyzed. The results show that the indexes related to burst propensity of the drilled coal samples decline to some extent compared with those of the intact one, and the decline is positively corelated to the diameter of the drilled hole. After hole filling, the strain concentration degree around the drilled hole is lowered to a certain degree, and polyurethane filling has a more remarkable effect than cement filling. Meanwhile, hole filling can enhance the strength and deformation resistance of coal. Hole drilling can accelerate the release of accumulated elastic strain energy, turning the acoustic emission events from low-frequency and high-energy ones to high-frequency and low-energy ones, whereas hole filling can reduce the intensity of energy release. The experimental results and theoretical derivation demonstrate that hole filling promotes coal deformability and strength mainly by weakening stress concentration surrounding the drilled holes. Moreover, the fillings can achieve a better filling effect if their elastic modulus and Poisson’s ratio are closer to those of the coal body.
Alternative skew Laplace scale mixtures for modeling data exhibiting high-peaked and heavy-tailed traits
Authors: Otto A. F. , Bekker A. , Ferreira J. T. , Arslan O. 
Published: May 2024

AbstractThe search and construction of appropriate and flexible models for describing and modelling empirical data sets incongruent with normality retains a sustained interest. This paper focuses on proposing flexible skew Laplace scale mixture distributions to model these types of data sets. Each member of the collection of distributions is obtained by dividing the scale parameter of a conditional skew Laplace distribution by a purposefully chosen mixing random variable. Highly-peaked, heavy-tailed skew models with relevance and impact in different fields are obtained and investigated, and elegant sampling schemes to simulate from this collection of developed models are proposed. Finite mixtures consisting of the members of the skew Laplace scale mixture models are illustrated, further extending the flexibility of the distributions by being able to account for multimodality. The maximum likelihood estimates of the parameters for all the members of the developed models are described via a developed EM algorithm. Real-data examples highlight select models’ performance and emphasize their viability compared to other commonly considered candidates, and various goodness-of-fit measures are used to endorse the performance of the proposed models as reasonable and viable candidates for the practitioner. Finally, an outline is discussed for future work in the multivariate realm for these models.
The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool
Authors: Resnik David B. , Hosseini Mohammad 
Published: May 2024

AbstractUsing artificial intelligence (AI) in research offers many important benefits for science and society but also creates novel and complex ethical issues. While these ethical issues do not necessitate changing established ethical norms of science, they require the scientific community to develop new guidance for the appropriate use of AI. In this article, we briefly introduce AI and explain how it can be used in research, examine some of the ethical issues raised when using it, and offer nine recommendations for responsible use, including: (1) Researchers are responsible for identifying, describing, reducing, and controlling AI-related biases and random errors; (2) Researchers should disclose, describe, and explain their use of AI in research, including its limitations, in language that can be understood by non-experts; (3) Researchers should engage with impacted communities, populations, and other stakeholders concerning the use of AI in research to obtain their advice and assistance and address their interests and concerns, such as issues related to bias; (4) Researchers who use synthetic data should (a) indicate which parts of the data are synthetic; (b) clearly label the synthetic data; (c) describe how the data were generated; and (d) explain how and why the data were used; (5) AI systems should not be named as authors, inventors, or copyright holders but their contributions to research should be disclosed and described; (6) Education and mentoring in responsible conduct of research should include discussion of ethical use of AI.
Spatial Gating with Hybrid Receptive Field for Robot Visual Localization
Authors: Zhou Shuhong , Wu Junjun , Lu Qinghua 
Published: May 2024

AbstractVisual localization for mobile robots is a sophisticated and challenging task that necessitates the extraction of pertinent scene information from images obtained by the robot’s visual sensors to ascertain its position within an environment. The task is complicated by variations in environmental factors which affect the accuracy of localization. To address the challenges of visual localization on variations of illumination, seasons, and viewpoints, this paper proposes a visual localization network based on a gated selection and hybrid receptive field. We utilize a fine-tuned DINOv2 for local feature extraction and leverage a hybrid receptive field to enhance the diversity of visual features. Furthermore, our approach employs spatial gating to dynamically and effectively select and aggregate the advantageous spatial features. Extensive experiments demonstrate that the visual localization performance of our approach surpasses existing methods on multiple challenging datasets, particularly achieving a Recall@1 metric of 69.2% on the NordLand dataset, which signifies a 10.8% enhancement compared to MixVPR.
Improving the Efficacy of Continuous Monitoring of Patients with Parkinson's Disease Through the Use of an Intelligent Computing Architecture Within the Medical Internet of Things
Authors: Ariana Reza , Majma Mohamad Reza , Jassbi Somayyeh Jafarali 
Published: May 2024

AbstractTelemonitoring has grown in popularity these days, particularly to assist patients with serious illnesses such as Parkinson's disease (PD). This study relies on the Daphnet dataset, which was trained and utilized to track five patients' whereabouts for an extensive dataset. Fuzzy logic was used in conjunction with a linear and Mobius map as part of the fog computing freezing of gait (FoG) detection system to provide a multi-level output (MLFM-map) that takes advantage of various spatial resolutions in motion data processing. Two improved Salp Swarm Algorithms with Fuzzy Logic (Fuzzy-ISSA) and transient search optimization algorithm (TSO) have been employed for the methodical training of this tool at the level of fog computing. When compared to other machine learning techniques, this one trains the FOG detection system quite quickly. In order to maximize performance while lowering computational complexity and testing time, the model architecture and parameters have been carefully considered. On average, the suggested method detected over 90% of FoG occurrences with extremely low latency in the original (test) dataset, demonstrating good to exceptional classification performance. In addition, the algorithm demonstrated a specificity of over 90% when tested on the test set. Various algorithms are used to train this design.
Weak Signal Detection Application Based on Incommensurate Fractional-Order Duffing System
Authors: Mao Hong-Cun , Feng Yu-Ling , Wang Xiao-Qian , Yao Zhi-Hai 
Published: May 2024

Abstract
The Duffing Chaos System can detect weak signals that are obscured by Gaussian noise because it is sensitive to specific signal functions and can withstand noise. In this paper, we investigate the use of intermittent chaotic phenomena in fractional-order incommensurate Duffing chaotic systems for weak signal detection. This new intermittent chaotic state has not appeared in integer-order Duffing systems before, so this phenomenon reflects the superiority of fractional-order Duffing systems. We start by giving the incommensurate fractional-order Duffing system’s weak signal detection model. Then design a time series-based judgment method that successfully separates chaotic, intermittent chaotic, and limit cycle states. Finally, the intermittent chaotic of fractional-order detection system is used to determine the amplitude and frequency of the weak signals to calculate the detection performance. The results show that the weak signal can be detected at a maximum signal-to-noise ratio of

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13.26 dB for single-detection oscillator amplitude detection. When detecting the frequency, a single-detection oscillator can detect the frequency range of 1050 rad/s, proving that the fractional-order chaos detection system is better than the integer-order chaos detection system.
Model and algorithm for pharmaceutical distribution routing problem considering customer priority and carbon emissions
Authors: Li Jiawei , Peng Kunkun , Deng Xudong , Wang Jing , Liu Ao 
Published: May 2024

Abstract
Pharmaceutical distribution routing problem is a key problem for pharmaceutical enterprises, since efficient schedules can enhance resource utilization and reduce operating costs. Meanwhile, it is a complicated combinatorial optimization problem. Existing research mainly focused on delivery route lengths or distribution costs minimization, while seldom considered customer priority and carbon emissions simultaneously. However, considering the customer priority and carbon emissions simultaneously will not only help to enhance customer satisfaction, but also help to reduce the carbon emissions. In this article, we consider the customer priority and carbon emission minimization simultaneously in the pharmaceutical distribution routing problem, the corresponding problem is named pharmaceutical distribution routing problem considering customer priority and carbon emissions. A corresponding mathematical model is formulated, the objectives of which are minimizing fixed cost, refrigeration cost, fuel consumption cost, carbon emission cost, and penalty cost for violating time windows. Moreover, a hybrid genetic algorithm (HGA) is proposed to solve the problem. The framework of the proposed HGA is genetic algorithm (GA), where an effective local search based on variable neighborhood search (VNS) is specially designed and incorporated to improve the intensification abilities. In the proposed HGA, crossover with adaptive probability and mutation with adaptive probability are utilized to enhance the algorithm performance. Finally, the proposed HGA is compared with four optimization algorithms, and experimental results have demonstrated the effectiveness of the HGA.
Anything you can do [I can do better]: Exploring women’s agency and gendered protection in state militaries
Authors: Harel Ayelet 
Published: May 2024

AbstractWomen who are currently serving in a variety of combat roles and combat support positions in many state militaries around the globe have had to struggle for their positions by proving their abilities, and such struggles are still ongoing. Based on interview materials with veterans, this article examines the ways in which the veterans interpret their roles as women in combat positions and how they understand agency. The article further traces how their presence in war could alter the gendered meaning of protection. While the military is a key institution of overt gendered power in the state, women combatants’ voices can create a crack in the masculine dominance that is taken for granted in state narratives; they can also create a wedge that allows in a reconsideration of gendered roles and power relations in the context of militaries, thereby offering more nuanced interpretations of protection and agency.
A review of underwater shock and fluid–structure interactions
Authors: Matos Helio , Galuska Mike , Javier Carlos , Kishore Shyamal , LeBlanc James , Shukla Arun 
Published: May 2024

Abstract
Underwater explosions are inherently complex and unique physical phenomena markedly distinct from those occurring above the surface. This distinctiveness is primarily attributed to the relatively incompressible nature of water, which fundamentally alters the propagation and impact of shock waves. The study of underwater explosions is paramount in applications such as underwater demolitions for construction and salvage operations. These applications require a comprehensive understanding in order to mitigate the disturbances’ impact on marine structures and ecosystems. Studying underwater explosions and their mitigation encompasses various disciplines, including fluid mechanics, materials science and structural engineering. The work reviewed in this study contributes significantly to enhancing safety measures in marine structures by providing critical insights into the behaviour of structures under extreme conditions. This includes understanding the behaviour of gas bubbles formed by explosions, the transmission of shock waves through different media and the resultant forces exerted on structures submerged in water. Consequently, this review is meant to aid in designing robust and resilient marine systems capable of withstanding severe loading conditions caused by underwater explosions by providing key engineering considerations. The continuous evolution of this research area is essential for advancing maritime technology, ensuring the safety of undersea operations and protecting marine environments from the adverse effects of extreme subaqueous loadings.
Organizational Form and Fragmentation in the Lethal Outcomes of Mexico’s Vigilante Mobilizations, 2012–2015
Authors: Trevizo Dolores 
Published: May 2024

AbstractIn 2013, people in Michoacán and Guerrero, especially from rural areas, armed themselves against criminal cartels. Although their movements emerged from comparable contexts, their leaders and organizational forms differed in ways that affected their tactics and targets, as well as the timing of de-escalation. Whereas Guerrero’s leaders understood their struggle as defensive, Michoacán’s leaders were businessmen who saw themselves engaged in an offensive campaign. This partly explains why fatalities were greater there than in Guerrero. I further demonstrate that movement fragmentation led to lethal violence, and their organizational forms also contributed to dynamics of escalation or de-escalation in ways not fully appreciated by scholars. Specifically, the organizational form of Michoacán’s patron-sponsored autodefensas made them more vulnerable to lethal violence than were Guerrero’s community-sponsored organizations.
Defining an effective “plastics treaty” through national perspectives and visions during early negotiations
Authors: Arora Hunar , March Antaya , Nieminen Laura , Shejuti Sayda-Mehrabin , Walker Tony R. 
Published: May 2024

Abstract
With increased international concern over the pervasive plastic pollution problem, early negotiations to develop a legally binding instrument to end plastic pollution (“the Plastics Treaty”) were supported by 175 member countries toward a sustainable plastics future. Defining features of the plastics treaty by UNEP member countries began in Punta del Este, Uruguay in November 2022 during the first session of the Intergovernmental Negotiating Committee (INC-1). However, INC-1 ended with many unanswered questions regarding the structure, scope, and targets of the treaty. Sixty-seven member countries, including members of the High Coalition Ambition, submitted their objectives, guiding principles, and expectations for the treaty before the INC-2 negotiations while also suggesting measures for its effective implementation. This paper compiles submissions of the 67 member countries and evidence-based policymaking approaches that have been described in peer-reviewed and gray literature following INC-1, but before the INC-2 negotiations in Paris, France in June 2023. Recommendations for developing an effective plastics treaty by most member countries include incorporating the complete life cycle of plastics, promotion of transparency in global trade through uniform labeling measures, capping virgin plastic production, incorporating extended producer responsibility to develop a circular economy, and addressing hazardous chemicals in plastics. Suggested implementation measures include building a multilateral fund, supporting smaller countries with technology transfer, improving local stakeholder engagement, developing subsidiary bodies, and regular national reporting. Encouragingly, many of these national plans were proposed in the Zero Draft document released in September 2023 before INC-3 in Nairobi, Kenya in November 2023 and further developed in the revised draft text which served as the provisional agenda at INC-4 in April 2024 in Ottawa, Canada.
Thomas Clayton’s Arsinoe (1705) Reconsidered: An English Opera in the Italian Manner
Authors: McGeary Thomas 
Published: May 2024

Abstract
Thomas Clayton’s opera Arsinoe, Queen of Cyprus (1705), while acknowledged as the first opera in the Italian manner produced in England, is also possibly the most reviled opera of the era, a reputation launched in 1709 by the anonymous author of ‘A Critical Discourse on Opera’s and Musick in England’. The opera’s success during its three-season run is at odds with its present reputation. This article offers a reconsideration of Arsinoe based on examining the historical sources and corrects misconceptions about Clayton’s authorship and attribution of the libretto to Peter Anthony Motteux. Examined are the opera’s recitative, aria forms, melodic style and dramaturgy. It argues that critics have been evaluating Arsinoe according to inappropriate criteria drawn from later eighteenth-century Italian-style operas of Scarlatti, Bononcini, and Handel.
After tracing the genesis of the opera, the article examines the recitatives and the structure and melodic style of the arias. The arias do not follow the usual forms of later opera. The melodic style of the short sectional arias is not ‘Italianate’ and is closer to the native multi-sectional English theatre song. Understanding of the opera’s dramaturgy has been hindered by the graphic layout of the 1705 London wordbook. To aid comprehension of the opera and its relation to its Bologna source libretto and to readily assess the work of the librettist, three online supplements to this article present: (1) parallel texts of the London and Bologna librettos (given in translation); (2) a facsimile of the London wordbook indicating text set by Clayton as aria, duet, or chorus; and (3) a reformatted version of the London wordbook.
The article argues that Arsinoe should not be seen as a failed Italian-style opera but as an innovative, sui generis realization of the ideal of an all-sung dramatic entertainment that would meet the expectations of a London audience that had not yet become familiar with the operatic style of Bononcini and Scarlatti. One feature added to the London libretto, the Epithalamium musical entertainment, shows the opera’s link to England’s dramatic operatic tradition.
Maternal pre-pregnancy diet and prenatal depression: the mediating role of pre-pregnancy weight status and prenatal inflammation
Authors: Vaghef-Mehrabani Elnaz , Bell Rhonda C. , Field Catherine J. , Jarman Megan , Evanchuk Jenna L. , Letourneau Nicole , Giesbrecht Gerald F. 
Published: May 2024

AbstractDepression is a common prenatal psychological complication. We aimed to investigate if maternal pre-pregnancy diet can impact prenatal depressive symptoms and the mediating role of pre-pregnancy BMI and inflammation. We used data (N 1141) from the Alberta Pregnancy Outcomes and Nutrition cohort study. We calculated Mediterranean diet adherence (MED) and dietary inflammatory index (DII) scores using data from pre-pregnancy FFQ. In the third-trimester, we assessed depressive symptoms using Edinburgh Postpartum Depression Scale (EPDS) and inflammation through serum C-reactive protein (CRP) levels. BMI was calculated from self-reported pre-pregnancy weight. Race-stratified analyses (white and people of colour) were run. We observed no association between MED or DII tertiles and depressive symptoms. However, white participants in the MED tertile-3 had lower risk of depression (EPDS < 10) compared with tertile-1 (OR = 0·56, 95 % CI, 0·33, 0·95). White individuals in MED tertile-3 had lower BMI (MD = –1·08; 95 % CI, −1·77, −0·39) and CRP (MD = –0·53; 95 % CI, −0·95, −0·11) than tertile-1, and those in DII tertile-2 (MD = 0·44; 95 % CI, 0·03, 0·84) and tertile-3 (MD = 0·42; 95 % CI, 0·01, 0·83) had higher CRP than tertile-1. Among people of colour, neither MED nor DII was associated with BMI or CRP, but BMI was negatively associated with depressive symptoms (β = –0·25, 95 % CI, −0·43, −0·06). We found no association between diet and depressive symptoms through BMI or CRP, in either race. Pre-pregnancy diet might affect the risk of prenatal depression in a race-specific way. Further research is required to explore the racial differences in the association between maternal diet and prenatal depressive symptoms/depression risk.
Consanguineous marriage and associated diseases among their children and grandchildren in India: evidence from large-scale data
Authors: Kundu Sampurna , Jana Arup 
Published: May 2024

AbstractWorldwide, more than 130 million infants are born each year and a considerable number of 13.5 million of these children have inbred parents. The present study aimed to investigate the association between parents’ consanguinity and chronic illness among their children and grandchildren in India. The nationally representative data, Longitudinal Aging Study in India, 2017–2018, Wave 1 was used for the present study. Bivariate analysis, a probit model, and propensity score estimation were employed to conduct the study. The study observed the highest prevalence of consanguinity marriage in the state of Andhra Pradesh (28%) and the lowest in Kerala (5%) among the south Indian States. People who lived in rural areas, belonged to the richer wealth quintile and Hindu religion were the significant predictors of consanguinity marriage in India. For individuals who were in consanguineous marriages, there was 0.85%, 0.84%, 1.57% 0.43%, 0.34%, and 0.14% chances of their children and grandchildren developing psychotic disorders, heart disease, hypertension stroke, cancer, and diabetes, respectively. Moreover, around 4.55% of the individuals have a history of birth defects or congenital disorders. To address the risk of complicated illnesses due to the consanguinity of marriage, medical, genetic, and social counselling services are required.