bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive protocols identify sources of post-capture mortality in radio-marked wild turkeys
Authors: Gonnerman Matthew , Shea Stephanie A. , Sullivan Kelsey , Kamath Pauline , Blomberg Erik 
Published: August 2023

Context Stress or injury resulting from capture and marking of animals is a potential cause of mortality following release. Multiple methods have been developed to identify sources of post-capture mortality, but these are most often applied following completion of field work to identify an appropriate censor window for other analyses. Aims Following unacceptable levels of post-capture mortality (13 of 53) in radio-marked individuals in the first year of a larger wild turkey research project in Maine, USA, we assessed post-capture survival as data became available to inform proactive changes to capture protocols, with the goals of improving animal welfare and data quality. Methods We evaluated potential sources of post-capture mortality related to the capture and marking process, individual characteristics of the turkey, and local weather conditions. We then used results from the preliminary analysis to inform adaptive changes to capture protocols in subsequent years and confirmed the effectiveness of these changes through a final analysis. Key results We found that greater handling time was positively correlated with increased post-capture survival, possibly in response to releasing turkeys in larger groups to facilitate regrouping. We also found that transmitter style impacted post-capture survival, such that female turkeys fitted with backpack-style transmitters experienced a survival rate of 0.787 (0.677–0.861 95% CI), compared with 0.903 (0.538–0.976 95% CI) for those fitted with a necklace transmitter, although adjustments to the fit of backpack transmitters appeared to help mitigate such issues. Conclusions Following informed adjustments to our capture protocols, we observed a dramatic increase in post-capture survival such that no mortalities were experienced in the first 30 days post capture in the final year of our study (n = 65). Although our estimated censor window was similar to other studies (~10 days), differences in effects of external stressors further the need for adaptive capture protocols because local stressors and risks may vary according to climate and ecosystem characteristics such as predator communities and habitat type. Implications We recommend that when possible, investigators continuously assess their protocols throughout the capture process and adapt accordingly to limit negative repercussions of capture and handling to wildlife.
A qualitative study of endometriosis-related pain
Authors: Andreolli Giorgia 
Published: August 2023

Abstract
This paper examines the conceptualizations of endometriosis-related pain by combining Conceptual Metaphor Theory (CMT) with a corpus-based approach. Endometriosis is a complex and multi-faceted condition, affecting one in ten people assigned female at birth and bearing serious consequences on one’s physical, social and psychological wellbeing. Especially in cases when the pain is invisible, communication resorts to violent metaphors implying harm, physical damage, or fight. These metaphors are thought to increase the likelihood of eliciting an empathetic response in the interlocutor. However, such narratives may be detrimental at the individual level (e.g., increasing pain catastrophizing) and at the community level (e.g., overshadowing the capacity of communities to construct and use metaphors in alternative ways). Therefore, this study presents an initial exploratory analysis of metaphorical source domains in descriptions of endometriosis-related pain written in online, freely accessible blogs. Metaphorical expressions were manually annotated in a sample of KWICs basing on the MIPVU procedure and thematically categorized. The adoption of a bottom-up and top-down approach within a qualitative framework allowed an empirically grounded analysis of candidate source domains, which calls for further quantitative testing.
Efficacy of peaceful and violent protests as predictors of normative and non-normative collective action: Catalonia 2019 (La eficacia de la protesta pacífica y de la violenta como predictores de la acción colectiva normativa y no normativa: Cataluña 2019)
Authors: Franc Renata , Pavlović Tomislav , Soler-i-Martí Roger , Maglić Marina 
Published: August 2023

To demonstrate the value of operationalizing the efficacy of action beliefs in terms of peaceful and violent actions in understanding why people engage in different forms of collective action (CA), we conducted a study ( N = 211 students) in Catalonia in 2019, during the massive protests after the Spanish Supreme Court ruling on the Catalan leaders. We tested six models differing regarding the operationalization of CA and inclusion of group identity and perceived injustice as control factors. The role of the efficacy of peaceful protests was model-dependent. Conversely, we found evidence in favour of the efficacy of violent protests as a robust predictor of intentions to participate in non-normative CA — participants perceiving violence as effective exhibited stronger intentions to participate in non-normative CA. Furthermore, no predictor other than the efficacy of violent protests predicted the variance of non-normative CA isolated from the variance of normative CA, implying that studying the perceived efficacy of different types of CA could improve our understanding of why people engage in different forms of CA.
Copper isotope delta measurements in high purity materials: CCQM-P213 pilot study
Authors: Yang Lu , Vogl Jochen , Mann Jacqueline , Kraft Rebecca , Vocke Robert , Pramann Axel , Eberhardt Janine , Rienitz Olaf , Lee Kyoung-Seok , Lim Jean Sun , Sobina Egor , Song Panshu , Wang Jun , Mester Zoltan , Meija Juris 
Published: August 2023

Main text
Accurate and precise isotope ratio measurements of heavy elements are playing an increasingly important role in modern analytical sciences and have numerous applications. Today, isotope ratio measurements are typically performed with two principal techniques: thermal ionization mass spectrometry (TIMS) and multiple collector-inductively coupled plasma mass spectrometry (MC-ICP-MS). To obtain accurate results by mass spectrometry, isotopic certified reference materials (iCRMs) are needed for mass bias correction and for the validation of the method used for analysis. Thus, it is of paramount importance to achieve measurement comparability of all data reported, and to assess measurement capability of each CRM producer/National Metrology Institute (NMI). Therefore, the international comparison (CCQM-P213) was performed to assess the analytical capabilities of NMIs for the accurate determination of copper isotope ratio delta values in high purity materials. The study was proposed by the coordinating laboratories National Research Council Canada (NRC), National Institute of Standards and Technology (NIST), Bundesanstalt für Materialforschung und -prüfung (BAM) and Physikalisch-Technische Bundesanstalt (PTB) as an activity of the Isotope Ratio Working Group (IRWG) of the Consultative Committee for Amount of Substance - Metrology in Chemistry and Biology (CCQM). Participants included six NMIs and one designated institute (DI) from the six countries. Although no measurement method was prescribed by the coordinating laboratories, MC-ICP-MS with either standard-sample bracketing (SSB) or combined SSB with internal normalization (C-SSBIN) models for mass bias correction were recommended. Results obtained from the six NMIs and one DI were in good agreement.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Discrete characteristics of instantaneous frequency of EMR induced by coal and rock fracture
Authors: Lou Quan , Jia Bing , Wan Xiang-yun , Song Da-zhao , Qiu Li-ming , Ma Yu-chen , Qi Xuan-xuan 
Published: August 2023

Abstract
To reveal the discrete characteristics of the instantaneous frequency of the electromagnetic radiation (EMR) waveform induced by coal and rock fracture, the uniaxial compression experiments for coal and rock samples were carried out, and the EMR signals with full waveform were acquainted and stored. The empirical wavelet transform is used to filter and de-noise the EMR waveform, and then the short-time Fourier transform is used to analyze the time-frequency characteristics of the waveform. The discrete characteristics of the instantaneous frequency with a larger amplitude and the relationship between the centroid frequencies and peak-to-peak values (Vpps) of the EMR waveforms are statistically analyzed. The results show that the centroid frequency of 0–100 kHz is negatively correlated with the Vpp, and the relationship between them shows a logarithm function relation. The instantaneous frequency of the EMR waveform of coal and rock fracture has significant discrete characteristics. In detail, for the rock sample, the instantaneous frequencies with relatively large amplitude are mainly 4.5 kHz, 19.5 kHz, 22.0 kHz, and 27.5 kHz; for the coal sample, the instantaneous frequencies are mainly 1.0 kHz, 4.5 kHz, 9.0 kHz, and 74.0 kHz. This discrete characteristic is determined by the natural properties and fracture characteristics of the sample. Compared with the homogeneous rock samples, the internal cracks of the coal samples are well developed and show strong anisotropy, resulting in the discrete characteristics of the instantaneous frequency being relatively weaker. The findings have certain guiding significance for optimizing the design of the EMR monitoring frequency band and improving the pertinence and accuracy of the monitoring and early warning for coal and rock dynamic disasters.
Transfer condition monitoring across wind turbines using feature alignment and parameter fine-tuning
Authors: Chen Shuai , Qiao Zijian , Xie Chongyang , Zhu Ronghua , Lai Zhihui , Xu Xuefang , Zhou Shengtong 
Published: August 2023

Abstract
Transfer condition monitoring across wind turbines still exists two issues. (1) The model of single turbine trained is directly used for other ones in the wind farm to result in low monitoring accuracy because of individual features of each turbine; (2) if the model is trained separately for each turbine, it is not only time-consuming and inefficient, but also is difficult to transfer across turbines. For solving the two issues, a transfer condition monitoring method across wind turbines using feature alignment and parameter fine-tuning is proposed. First, the representative normal turbine in a wind farm is screened by calculating the correlation between the monitoring parameters of wind turbines; second, the input features are constructed by using the massive normal supervisory control and data acquisition data of the representative turbine. The intelligent condition monitoring model of wind turbines is designed by using convolutional neural networks for spatial features and long-term and short-term memory networks for time features. Finally, feature alignment is performed using the normal data of the representative turbine and a large amount of historical normal data from other turbines to reduce data distribution differences. The aligned data is inputted into pre-training monitoring models for parameter fine-tuning. The personalized features of each turbine are incorporated to achieve high-precision transfer condition monitoring across turbines. The proposed method is verified by the real-world turbine data from a wind farm cooperated with us. The results show that the proposed transfer condition monitoring method using feature alignment and parameter fine-tuning can accurately monitor and identify the health states of wind turbines.
A simplified mid-infrared anti-resonant chalcogenide fiber with fewest resonant peaks
Authors: Wang Xian-Ge , Jiao Kai , Zhao Zheming , Liang Xiaolin , Xia Kai , Liang Yachen , Bai Shenchuang , Shen Xiang , Nie Qiuhua , Wang Rongping , Wang Xunsi 
Published: August 2023

Abstract
High-power laser delivery in the mid-infrared via hollow-core fibers is attractive, but it is too difficult to be fabricated using chalcogenide glasses. Here, we designed a mid-infrared hollow-core anti-resonant chalcogenide fiber (HC-ARCF) with a simplified Kagome cladding micro-structure for the first time. Then, the fiber was firstly fabricated through a precision mechanical drilling and pressured fiber drawing method. Ultra-thin walls of 2 μm in the fiber lead to the fewest resonance peaks in the 2–5 μm among all reported HC-ARCFs. All the fundamental mode, the second-order mode, tube mode and node mode in the fiber were excited and observed at 1550 nm. The power and spectral properties of the core and cladding of HC-ARCF are studied for the first time. The fiber can deliver high-power of 4.84 W without damage with core-coupling, while the threshold of the node in the cladding is only 3.5 W. A broadening of the output spectrum from 1.96 to 2.41 μm due to the high nonlinearity at the node was successfully observed under short-pulse laser pumping at 2 μm. The potentials of the fiber used for mid-infrared high-power laser delivery via core, or nonlinear laser generation via node, were thus demonstrated.
Real-time measurement of the current–voltage characteristics of a solar cell for laboratory experiment
Authors: Wang Xiao-qian , Luo Duan-bin 
Published: August 2023

Abstract
The sensors and data acquisition universal interface provide more powerful choices for experimental teaching. In this paper, we introduce a teaching experimental setup that uses current and voltage sensors combined with universal interface to realize real-time automatic measurement of solar cell current–voltage characteristics. The current–voltage (I–V) and power–voltage (P–V) curves at various distances from the light source can be easy and fast obtained. At the same time, the effect of temperature on the electrical performance of photovoltaic modules can also be directly demonstrated using the cooling fan. Compared with the data read by ammeter and voltmeter, the experimental setup we built can enable students to obtain data faster under the same experimental conditions. We suggest that the real time I–V and P–V curves can help students experiment with the output characteristics of solar cells directly and allow them to relate electrical concepts such as short-circuit current, open-circuit voltage and maximum output power to the operation of the solar cells.
Experimental activities for the study of transformation of electrical energy into thermal
Authors: Schiavon G J , Pittner V D , Santos O R , Batista M C , Braga W S 
Published: August 2023

Abstract
In this article, three experimental practices involving transformations of electrical energy into thermal energy using the Joule effect, electromagnetic induction, and the Peltier effect were proposed. Furthermore, energy balance calculations and the demonstration of the induction heating process are performed using a zero voltage switching module coupled to an Arduino board. In this sense, the work verifies the pedagogical potential of the activities applied in two classes of the third grade of high school, in the face-to-face class format. A qualitative research methodology was adopted, and for data collection, questionnaires were used to survey the students’ prior knowledge, which, at the end of the activities, were applied again to identify a possible integrating reconciliation on the content. We hope that with this proposal, we can contribute to other Physics teachers, who can replicate these activities with their students, adapting it to their realities.
Spread and asymmetry of typical quantum coherence and their inhibition in response to glassy disorder
Authors: Biswas George , Sarkar Santanu , Biswas Anindya , Sen Ujjwal 
Published: August 2023

Abstract
We consider the average quantum coherences of typical redits and qudits—vectors of real and complex Hilbert spaces—with the analytical forms stemming from the symmetry of Haar-uniformly distributed random pure states. We subsequently study the response to disorder in spread of the typical quantum coherence in response to glassy disorder. The disorder is inserted in the state parameters. Even in the absence of disorder, the quantum coherence distributions of redits and qudits are not uniform over the range of quantum coherence, and the spreads are relatively lower for higher dimensions. On insertion of disorder, the spreads decrease. This decrease in the spread of quantum coherence distribution in response to disorder is seen to be a generic feature of typical pure states: we observe the feature for different strengths of disorder and for various types of disorder distributions, viz. Gaussian, uniform, and Cauchy–Lorentz. We also find that the quantum coherence distributions become less asymmetric with increase in dimension and with infusion of glassy disorder.
Qubit measurements for testing contextuality through the violation of Liang-Spekkens-Wiseman-Yu-Oh inequality
Authors: Yan Meng , Zou Hao-Zhan , Zhan Xiang 
Published: August 2023

Abstract
Contextuality is a striking feature of our nature predicted by quantum theory and tested by various experiments. In a qubit system, testing contextuality requires scenarios distinct from traditional ones for systems with dimension of three or greater. In this paper, we consider the noncontextuality inequality developed by Liang-Spekkens-Wiseman and Yu-Oh, and investigate the set of three qubit measurements that can be used to test and violate this inequality. Our numerical results show that two of the three measurements can be almost arbitrary. Moreover, we have singled out several extremely interesting sets of measurements, e.g. one measurements can be white noise while the other two are arbitrarily close to white noise. These sets fulfill our knowledge about contextuality in this minimum quantum system.
Gravitational quasinormal modes of a parametrized Schwarzschild metric
Authors: Lin Kai , Zhang Hongsheng 
Published: August 2023

AbstractRecently, a parametrized Schwarzschild metric (PSM) was proposed, in whichn= 2 to solve the differences of mass of M87* from different observations. We find the axial gravitational quasinormal modes of this metric are unstable forn> 1. The decay rate of the quasinormal mode of the casen< 1 is much smaller than the casen= 1, which can be used to differentiate the PSM from a Schwarzschild one.
Reducing uncertainty of high-latitude ecosystem models through identification of key parameters
Authors: Mevenkamp Hannah , Wunderling Nico , Bhatt Uma , Carman Tobey , Friedemann Donges Jonathan , Genet Helene , Serbin Shawn , Winkelmann Ricarda , Susanne Euskirchen Eugenie 
Published: August 2023

Abstract
Climate change is having significant impacts on Earth’s ecosystems and carbon budgets, and in the Arctic may drive a shift from an historic carbon sink to a source. Large uncertainties in terrestrial biosphere models (TBMs) used to forecast Arctic changes demonstrate the challenges of determining the timing and extent of this possible switch. This spread in model predictions can limit the ability of TBMs to guide management and policy decisions. One of the most influential sources of model uncertainty is model parameterization. Parameter uncertainty results in part from a mismatch between available data in databases and model needs. We identify that mismatch for three TBMs, DVM-DOS-TEM, SIPNET and ED2, and four databases with information on Arctic and boreal above- and belowground traits that may be applied to model parametrization. However, focusing solely on such data gaps can introduce biases towards simple models and ignores structural model uncertainty, another main source for model uncertainty. Therefore, we develop a causal loop diagram (CLD) of the Arctic and boreal ecosystem that includes unquantified, and thus unmodeled, processes. We map model parameters to processes in the CLD and assess parameter vulnerability via the internal network structure. One important substructure, feed forward loops (FFLs), describe processes that are linked both directly and indirectly. When the model parameters are data-informed, these indirect processes might be implicitly included in the model, but if not, they have the potential to introduce significant model uncertainty. We find that the parameters describing the impact of local temperature on microbial activity are associated with a particularly high number of FFLs but are not constrained well by existing data. By employing ecological models of varying complexity, databases, and network methods, we identify the key parameters responsible for limited model accuracy. They should be prioritized for future data sampling to reduce model uncertainty.
Analysis of yield and types of carrageenan from different strains at Kupang Bay seaweed production center, East Nusa Tenggara
Authors: Sani C S , Oedjoe M D R , Turupadang W 
Published: August 2023

Abstract

Kappaphycus alvarezzi is a species widely cultivated by the seaweed farmers surrounding Kupang Bay since the early 2000s. K. alvarezzi is sold as raw materials for the carrageenan industry as its hydrocolloid properties are used as emulsion and suspension stabilizers in the food and pharmaceutical industries. This study determines the yield and identifies the type of carrageenan from algal farms at Kupang Bay. Samples are collected from five production centers, then extracted at the Wet Laboratory at the Undana Faculty of Animal Husbandry, Marine and Fisheries in Kupang; and the extracted carrageenan is then analyzed using infrared spectroscopy at the Laboratory of the Faculty of Advanced and Multidisciplinary Technology Universitas Airlangga in Surabaya. The results showed that the highest yield of carrageenan was seaweed from Sulamu (25.72%) then, followed by Oenaek (19.6%), Tablolong A (13.48%), South Semau (11%), and Tablolong B as the lowest yield (9.6% ). Both the presence of functional groups such as D-galactose-4-sulphate and 3,6 anhydro D-galactose groups and the absence of D-galactose-2-sulfate and the 3,6 anhydrogalactose-2-sulfate group, concluded that the type of carrageenan produced in Kupang Bay is the kappa carrageenan.
Population status of the oriental pied hornbill in oil palm landscapes with a conserved natural habitat in Runtu Village, West Kotawaringin, Central Kalimantan
Authors: Yusran A , Mulyani Y A , Kartono A P , Ramadhan G F , Sugeng W M H , Sahari B 
Published: August 2023

Abstract
Oriental Pied Hornbill is a member of the Bucerotidae family that can use rather changing habitats, including a forest fragment in Runtu, Central Kalimantan. The objective of this study is to evaluate the population status of Anthracoceros albirostris in an oil palm concession with a conserved natural habitat at Runtu, Kotawaringin Barat, Central Kalimantan. Habitat profiling for oriental pied hornbill is important to understand its role in supporting the population growth and sustainability of oriental pied hornbill in the area in question. The method to measure the size of the oriental pied hornbill’s population was a strip transect, and the habitat profile was evaluated using a combination of single plot methods. In total, there are 35 plant species belonging to seven families which serve as sources of food for hornbills identified to occur in the study area. The research shows that the oriental pied hornbill frequently and consistently visits Ficus variegata, F. aurata, F benjamina, Polyalthia xanthopetala, and Baccaurea bracteata during the observation period. The appearance of the oriental pied hornbill was found to be higher in the morning than the afternoon, with 4.37 ± 2.729 and 4.68 ± 6.03 individuals respectively. This study also found that the male and female ratio was 3: 4 with clustered dispersal patterns.