bluuebunny/crossref_metadata_2025 huggingface dataset:
Someone Like Me? Disability Identity and Representation Perceptions
Authors: Reher Stefanie , Evans Elizabeth
Published: August 2024

Studies have shown that citizens from minoritized groups, including women and people of color, tend to feel better represented by politicians who share their identity, often translating into electoral support. Is this also the case for disabled people, one of the largest yet often ignored minority groups in our societies? Analyses of data from a conjoint survey experiment with 6,000 respondents in the UK and US show that disabled people indeed feel better represented by disabled candidates. This representational link does not require a sense of group identity and is only partly explained by perceptions of shared policy preferences. The study also reveals that non-disabled people feel better represented by non-disabled candidates. The findings highlight the relevance of disability as a political identity, bolstering calls for more disabled people in politics, and might help explain the disability gaps in political trust and participation.
COSMIN guideline for systematic reviews of patient-reported outcome measures version 2.0
Authors: Mokkink Lidwine B. , Elsman Ellen B.M. , Terwee Caroline B.
Published: August 2024

Purpose

Systematic reviews of patient-reported outcome measures (PROMs) are important tools to select the most suitable PROM for a study or clinical application. Conducting these reviews is challenging, and the quality of these reviews needs to be improved. We updated the COSMIN guideline for systematic reviews of PROMs, including the COSMIN Risk of Bias checklist, and the COSMIN criteria for good measurement properties.

Methods

Adaptations to the methodology were based on our experience with applying the COSMIN guideline, through discussions among the authors, and results from two related Delphi studies.

Results

The updated guideline places more emphasis on key aspects that are often missing or sub optimally conducted in published systematic reviews of PROMs, such as formulating a well-defined research question and developing a comprehensive search strategy, assessing risk of bias, applying criteria for good measurement properties, summarizing results, and grading the quality of the evidence. We also stress the importance of evaluating the measurement properties of each subscale of a PROM separately and evaluating content validity of all included PROMs.

Conclusion

The quality of systematic reviews of PROMs can be improved by using this updated version of the COSMIN guideline for systematic reviews of PROMs. Improved quality will lead to better PROM selection and increased standardization of PROM use.
Review of current hydroponic food production practices and the potential role of bioelectrochemical systems
Authors: Wang Shuyao , Kleiner Yehuda , Clark Shawn M. , Raghavan Vijaya , Tartakovsky Boris
Published: August 2024

Hydroponic cultivation is an efficient, resource-saving technology that produces high yields of high-quality products per unit area without soil. While this technology can save water and fertilisers, water recirculation increases the accumulation of root exudates known to be toxic to the plant, causing growth inhibition. The usage of bioelectrochemical systems (BESs) is well-documented for wastewater treatment, desalination, contamination remediation, bioelectricity generation, etc. In this review we explore the issues associated with the usage of traditional approaches in detecting and removing the phytotoxic substances exudated from plant roots. Furthermore, we investigate the prospects of deploying BESs in hydroponic systems and highlight potential benefits and challenges. The application, feasibility and scalability of BES-hydroponic systems, as well as the possibility of integration with other technologies are all critically discussed. It is concluded that the use of BESs for hydroponic wastewater treatment and for real-time plant growth monitoring represents a novel and valuable strategy. This approach has the potential to overcome limitations of the existing treatment methods and contribute to the advancement of sustainable agriculture.

Graphical abstract
Multi-disciplinary approach identifies pelagic nutrient linkage by sawsharks
Authors: Burke Patrick J. , Meyer Lauren , Raoult Vincent , Huveneers Charlie , Williamson Jane E.
Published: August 2024

Quantifying the trophic role of a species is key to understanding its ecology and ecological role. Their trophic role can influence community composition, ecosystem stability, and nutrient transport and cycling between habitats through ingestion, egestion, and excretion, which requires an understanding of species diet and habitat use. Despite the regular occurrence of sawsharks in Australian temperate fisheries, there remains limited information on their trophic ecology or habitat use, but they are assumed to be benthic consumers. We used fatty acid and stable isotope profiles along with stomach content analysis to investigate the trophic ecology of two sympatric species of sawsharks, the common sawshark (Pristiophorus cirratus) and southern sawshark (Pristiophorus nudipinnis) in south-eastern Australia. Stable isotope analysis of δ13C, δ15N, and δ34S in sawshark muscle revealed that P. nudipinnis fed at a higher trophic level than P. cirratus, and mixing models and stomach contents indicated P. nudipinnis was surprisingly reliant on pelagic and benthopelagic prey sources. In contrast, P. cirratus preyed on more benthic invertebrate species, not found in P. nudipinnis. This bentho-pelagic partitioning between species was supported by P. nudipinnis fatty acid profiles having higher levels of tracers associated with dinoflagellate basal sources (16:1/16:0, 22:6ω3) than P. cirratus, indicating a reliance on pelagic food webs. These data demonstrate that sawsharks are mesopredators that play a substantial role linking pelagic and benthic food webs and highlights the value of incorporating multiple biochemical tracers to provide a comprehensive representation of an animal’s trophic ecology and role in and between ecosystems.
Developing and Gathering Validity Evidence for an Instrument to Measure How High School Students Identify as Researchers
Authors: Morell Linda , Bathia Shruti , Koo Bon W. , Wilson Mark , Gochyyev Perman , Smith Rebecca
Published: August 2024

The authentic research experience, which provides students with meaningful collaborative research opportunities designed to promote discovery and innovation under the guidance of mentors, is increasing as a way to attract and engage students in STEM fields. However, despite the increase in authentic research experiences offered to students, there has been little research, particularly at the high school level, investigating students’ attitudes about themselves as researchers. To address this need, we developed a theory (or construct) for how high school age students self-identify as researchers and a companion survey to measure their identity. After three iterative development cycles, 823 high school students from diverse backgrounds were administered the 12-item survey, the Researcher Identity Survey—Form G (RISG). The partial credit Rasch model (1960/1980) was used to analyze the survey data. The results indicate that the survey identifies and locates high school age students as researchers validly and reliably along an easy to use and interpret scale. The survey holds promise as an important element for use in programs designed to broaden the entryway for students into the STEM disciplines.
Effect of salt stress on growth and phenolic compounds production in callus suspension culture of the dioecious species thyrse sorrel (Rumex thyrsiflorus Fingerh.)
Authors: Gozdur Kacper , Szopa Agnieszka , Ślesak Halina
Published: August 2024

The sex-dependent differences in the response to salt stress of the dioecious Rumex thyrsiflorus and the influence of different concentrations of sodium chloride (NaCl) on the biosynthesis of phenolic compounds in callus suspension cultures were evaluated. The cultures originated from callus obtained on hypocotyls isolated from male and female seedlings were cultured on Murashige and Skoog medium supplemented with 0.4 mg/L 6-benzylaminopurine and 1 mg/L 2,4-dichlorophenoxyacetic acid. The results showed that the response to salt stress depends on both the sex of the plant and the NaCl concentration in the culture medium. The analysis of the main morphometric parameters showed that callus tissue derived from the hypocotyls of female seedlings was less sensitive to salt stress than that from male seedlings, which was correlated with higher concentrations of phenolic compounds. The optimal NaCl concentration to increase the production of phenolic compounds was 129 mM for females and 43 mM for males. In the methanolic tissue extracts 22 compounds were determined using the HPLC–DAD method. In general, higher amounts of compounds were detected in the extracts from the female tissue. The following dominated: catechin (max. 213.31), cryptochlorogenic acid (max. 76.35) and epicatechin (max. 54.84) (mg/100 g DW). This comprehensive phytochemical analysis of the sex-related aspects of the response to salt stress was performed for the first time in this dioecious model species. The results revealed potential application of NaCl as the ecological friendly and inexpensive elicitor to increase the production of pharmaceutically valuable compounds and highlight the importance of dioecy in phytochemistry.
Sich vorstellen (‘imagine’) as a Fiction Verb and as a Verb of Thinking
Authors: Sode Frank
Published: August 2024

I argue that sich vorstellen (‘imagine’) in German, similar to English imagine, has a use as a fiction verb and a use as a verb of thinking. I follow Vendler (Rev Métaphys Morale 84(2):161–173, 1979) in assuming that the fiction verbs like vorstellen can be used to report acts of subjective imagination (imagined inner experiences) and acts of objective imagination (imagined outer experiences). For sich vorstellen as a verb of thinking we have to distinguish between a use on which it introduces an activity and takes interrogative complements and DPs on a concealed question interpretation as arguments and a use on which it introduces an attitudinal state that can be characterized as betting on the truth of a proposition in a given subject matter. Given the differences in grammar and interpretation I argue that we have to distinguish four lexical entries for German sich vorstellen: imagine$$_{{\textsc {exp}}-{\textsc {sbj}}}$$

E
X
P

-

S
B
J

, imagine$$_{{\textsc {exp}}{-}{\textsc {obj}}}$$

E
X
P

-

O
B
J

, imagine$$_{\textsc {prop-act}}$$

P
R
O
P
-
A
C
T

, imagine$$_{\textsc {prop-state}}$$

P
R
O
P
-
S
T
A
T
E

. Having laid out all the necessary distinctions to account for the data, I discuss the prospects of reducing the number of lexical entries. I propose that imagine$$_{{\textsc {exp}}-{\textsc {sbj}}}$$

E
X
P

-

S
B
J

and imagine$$_{{\textsc {exp}}{-}{\textsc {obj}}}$$

E
X
P

-

O
B
J

could be reduced to imagine$$_{\textsc {prop-act}}$$

P
R
O
P
-
A
C
T

if we assume that all reports of experiential imagining can be reduced to reports of propositional imagining that combine the predicate imagine$$_{\textsc {prop-act}}$$

P
R
O
P
-
A
C
T

with a question of the kind ‘what would it be like?’, following an idea in D’Ambrosio and Stoljar (Synthese 199:12923–12944, 2021). Under this assumption only two lexical entries are needed: an entry for imagine$$_{\textsc {prop-act}}$$

P
R
O
P
-
A
C
T

, a rogative predicate that introduces activities, and imagine$$_{\textsc {prop-state}}$$

P
R
O
P
-
S
T
A
T
E

an attitude predicate that takes propositions as arguments and introduces an attitudinal state. The overall result is that the grammar and interpretation of the fiction verb sich vorstellen is much closer to verbs of thinking than one might imagine.
Learning General and Specific Embedding with Transformer for Few-Shot Object Detection
Authors: Zhang Xu , Chen Zhe , Zhang Jing , Liu Tongliang , Tao Dacheng
Published: August 2024

Few-shot object detection (FSOD) studies how to detect novel objects with few annotated examples effectively. Recently, it has been demonstrated that decent feature embeddings, including the general feature embeddings that are more invariant to visual changes and the specific feature embeddings that are more discriminative for different object classes, are both important for FSOD. However, current methods lack appropriate mechanisms to sensibly cooperate both types of feature embeddings based on their importance to detecting objects of novel classes, which may result in sub-optimal performance. In this paper, to achieve more effective FSOD, we attempt to explicitly encode both general and specific feature embeddings using learnable tensors and apply a Transformer to help better incorporate them in FSOD according to their relations to the input object features. We thus propose a Transformer-based general and specific embedding learning (T-GSEL) method for FSOD. In T-GSEL, learnable tensors are employed in a three-stage pipeline, encoding feature embeddings in general level, intermediate level, and specific level, respectively. In each stage, we apply a Transformer to first model the relations of the corresponding embedding to input object features and then apply the estimated relations to refine the input features. Meanwhile, we further introduce cross-stage connections between embeddings of different stages to make them complement and cooperate with each other, delivering general, intermediate, and specific feature embeddings stage by stage and utilizing them together for feature refinement in FSOD. In practice, a T-GSEL module is easy to inject. Extensive empirical results further show that our proposed T-GSEL method achieves compelling FSOD performance on both PASCAL VOC and MS COCO datasets compared with other state-of-the-art approaches.
Statistical modeling and optimization of volatile fatty acids production by anaerobic digestion of municipal wastewater sludge
Authors: Gracia Jeniffer , Acevedo Oscar , Acevedo Paola , Mosquera Jhessica , Montenegro Carlos , Cabeza Ivan
Published: August 2024

Obtaining value-added products from renewable resources is limited by the lack of specific operating conditions optimized for the physico-chemical characteristics of the biomass and the desired end product. A mathematical model and statistical optimization were developed for the production of volatile fatty acids (VFAs) by anaerobic digestion of municipal sewage sludge. The experimental tests were carried out in triplicate and investigated a wide range of conditions: pH 9.5, 10.5, and 11.5; temperatures 25 °C, 35 °C, 45 °C, and 55 °C; primary sludge with organic loading (OL) of 10 and 14 g VS (volatile solids); and digested sludge with 4 and 6 g VS. Subsequently, a statistical search was performed to obtain optimal production conditions, then a statistical model of VFA production was developed and the optimal conditions were validated at pilot plant scale. The maximum VFA concentration predicted was 6975 mg COD (chemical oxygen demand)/L using primary sludge at 25 °C, initial OL of 14 g VS, and pH 10.5. The obtained third-degree model (r2 = 0.83) is a powerful tool for bioprocess scale-up, offering a promising avenue for sustainable waste management and biorefinery development.
Self-regulated strategy development’s effectiveness: underlying cognitive and metacognitive mechanisms
Authors: Fernandez Jonathan , Guilbert Jessica
Published: August 2024

Self-Regulated Strategy Development (SRSD) is a method designed to explicitly teach students self-regulation skills and help them implement them. While SRSD’s beneficial effect on writing quality has been confirmed in a large body of literature, the questions of why, how, and for whom SRSD works remain unclear. To investigate the underlying cognitive and metacognitive mechanisms, and identify the factors that potentially moderate SRSD’s effectiveness, we compared fourth- and fifth-graders who either received regular writing instruction or underwent an SRSD intervention in a quasi-experimental setting. Students’ abilities to plan, write quality texts, and self-evaluate were measured. Factors that have been demonstrated to be related to writing abilities were assessed to study whether they might facilitate or hinder acquisition of strategies taught in the SRSD intervention. The results indicated that compared with students who received regular writing instruction, students who underwent the SRSD intervention produced higher-quality texts and evaluated their texts’ quality more accurately, despite persistent overestimation. Mediation analyses indicated that progress in producing high-quality texts was explained by improvements in students’ planning skills, enabling them to write stories that were better-structured and contained more ideas. However, the results also indicated that some students under the SRSD condition struggled to implement the planning strategies they were taught, particularly students with poor working memory. Recommendations for optimizing the SRSD intervention’s effectiveness in developing all students’ writing skills are discussed.
Exploring the Impact of Routine Activity and Financial Strain on Fraud Victimization During the COVID-19 Pandemic in Hong Kong
Authors: Siu Jacky Cheuk Lap , Zhong Hua , Nivette Amy
Published: August 2024

This study examines the impact of the COVID-19 pandemic on fraud victimization in Hong Kong, providing valuable insights beyond the Western context. Drawing on general strain theory and routine activity theory, this research explores the influence of economic recession at the local and adjacent societal levels, as well as residential duration (refers to relative time spent at residences), on fraud victimization in Hong Kong. Utilizing 10 years (120 months) of monthly police-recorded victimization data, this study employs various methodologies, including ARIMA forecasting, single-group interrupted time series analysis (ITSA), and Poisson regression, to explore the impact of the COVID-19 pandemic on fraud victimization in Hong Kong. The ARIMA framework reveals an unexpected and significant increase in fraud victimization during the COVID-19 period, surpassing the predicted levels. The ITSA results demonstrate that the pandemic had a short-term and long-term effect on fraud victimization in Hong Kong. To further understand the factors contributing to this change, a Poisson regression analysis is conducted. The findings highlight the positive and significant impact of residential duration and the unemployment rate in mainland China on fraud victimization, aligning with the propositions of routine activity theory and general strain theory. Limitations and policy implications at both the local and international levels are discussed.
Managing the patient portfolio using mathematical programming: decision support guidelines using a real-world use case at a university hospital
Authors: Grieger Milena , Heider Steffen , McRae Sebastian , Koperna Thomas , Brunner Jens O.
Published: August 2024

Many hospitals in Germany are facing escalating economic pressures. After several years of stagnation, the number of inpatient hospital treatments dropped by $$\:13\%$$ in 2020 compared to the previous year. This negative tendency can also be seen in operating theaters (OTs). Strategic management of the case mix in hospital OTs now necessitates a solid data foundation. The case mix and the case mix index have become central economic indicators in contemporary hospital operations. In this work, we develop a mathematical model for case mix optimization at Augsburg University Hospital in Germany, which is based on an extensive data analysis with descriptive methods. The optimization model is subject to rigorous testing and evaluation through an extensive series of scenario analyses. The primary objective is to calculate a revenue-maximizing patient mix while respecting the available scarce personnel resources in the OT and intensive care unit. This research marks a pioneering effort in delineating the practical integration of case mix planning into a hospital’s routine operations using mathematical optimization. The analyses reveal a strong correlation between an upsurge in revenue and an increased number of cases. Furthermore, the results demonstrate that strategic planning of the patient mix has the potential to enhance revenue with existing resources. Even though the optimal patient mix may not be directly implementable in practice, the findings yield valuable insights for managerial decision-making. A critical examination of these results also fosters a nuanced discourse on the utilization of optimization models as decision support tools within hospital management.
Perception of corruption as a business obstacle, generalized trust and relation centrism in low- and middle-income nations: the moderating influence of governance
Authors: Olarewaju Tolu , Tamvada Jagannadha Pawan , McDowall-Emefiele Sharin , Swaray Raymond
Published: August 2024

We examine regional differences in how generalized trust and relation centrism influence how 16,785 firms across 20 lower- and middle-income countries perceive corruption as a business obstacle. Using the machine learning method LASSO, our empirical findings indicate that higher out-group generalized trust is associated with increased perceptions of corruption hindering business operations. Conversely, higher in-group friend centrism aligns with reduced perceptions of corruption as an obstacle. Interestingly, regional disparities highlight that family centrism generally outweighs friend centrism in firms' perceptions of corruption obstacles. Furthermore, while legal institutional and regulatory quality partly mitigate this effect, political stability consistently plays the most significant role in weakening this association.
Mathematics teachers’ multiple perspectives on adaptive tasks: task evaluation and selection as core practices for teaching quality
Authors: Bardy Thomas , Holzäpfel Lars , Reinhold Frank , Leuders Timo
Published: August 2024

The selection of tasks based on the evaluation of task features can be considered a core practice of teaching and a relevant component of teaching quality. This is typically part of teachers’ preparation for their classroom teaching, which prompts the following question: What are the characteristics of the tasks that teachers use when selecting tasks for differentiated teaching? To answer this question, we analyzed systematic differences in the focus of 78 in-service high school and lower secondary school teachers during the evaluation of task features. The teachers had to select eight tasks about the practice of fractions with respect to their differentiation potential—operationalizing their adaptive teaching competence from a mathematics educational perspective. To analyze the differences, we performed a cluster analysis of the task features that the teachers drew upon. Three groups of teachers could be identified with variations in their focus on directly or indirectly relevant, domain-specific or domain-general task features. Taking into account such variations may explain differences in teaching quality and student outcomes and may be relevant when designing teacher professional development programs.
Lagging Brain Gene Expression Patterns of Drosophila melanogaster Young Adult Males Confound Comparisons Between Sexes
Authors: McLamb Flannery , Feng Zuying , Vu Jeanne P. , Griffin Lindsey , Vasquez Miguel F. , Bozinovic Goran
Published: August 2024

Many species, including fruit flies (Drosophila melanogaster), are sexually dimorphic. Phenotypic variation in morphology, physiology, and behavior can affect development, reproduction, health, and aging. Therefore, designating sex as a variable and sex-blocking should be considered when designing experiments. The brain regulates phenotypes throughout the lifespan by balancing survival and reproduction, and sex-specific development at each life stage is likely. Changes in morphology and physiology are governed by differential gene expression, a quantifiable molecular marker for age- and sex-specific variations. We assessed the fruit fly brain transcriptome at three adult ages for gene expression signatures of sex, age, and sex-by-age: 6698 genes were differentially expressed between sexes, with the most divergence at 3 days. Between ages, 31.1% of 6084 differentially expressed genes (1890 genes) share similar expression patterns from 3 to 7 days in females, and from 7 to 14 days in males. Most of these genes (90.5%, 1712) were upregulated and enriched for chemical stimulus detection and/or cilium regulation. Our data highlight an important delay in male brain gene regulation compared to females. Because significant delays in expression could confound comparisons between sexes, studies of sexual dimorphism at phenotypically comparable life stages rather than chronological age should be more biologically relevant.
Life Cycle Assessment of Microalgal Biomass Valorization from a Wastewater Treatment Process
Authors: Crippa Irene , Dolci Giovanni , Grosso Mario , Rigamonti Lucia
Published: August 2024

Purpose

The life cycle assessment (LCA) performed in this work evaluates the potential environmental impacts of an activated-sludge-based wastewater treatment plant (WWTP) coupled with microalgal cultivation, including the algal biomass recovery. The system is compared with the WWTP without algal integration to evaluate the potential benefits derived by the coupling. In addition to more conventional valorization strategies for the algal biomass, a special focus is given to the production of biostimulants, that give the chance to replace some chemical fertilizers.

Method

Four scenarios are compared. They differ in the algal biomass valorization route: direct use in agriculture (S1), incineration with energy recovery (S2), use in cement plant as an auxiliary fuel (S3), and biostimulants production and use on crops (S4). The environmental impacts of the system are assessed including 16 categories, to comprehensively cover its potential impacts.

Results

S4 allows for significant impact reductions (compared to the WWTP without algal integration) only when the increase of the nutrient-uptake efficiency of crops is taken into account. Assuming a 5% reduction of fertilizers application, S4 shows an improvement in 14 out of the 16 impact categories. Conversely, when the amount of substituted fertilizers is calculated comparing just the macronutrient content of biostimulants with that of algae, S4 is comparable with S1, S2, and S3, where just four to five impact categories show lower impacts than the WWTP without algal integration.

Conclusions

The LCA confirms the environmental benefits of biostimulants application on crops, although the modeling approach requires further research as it strongly influences the results.
Development of a qPCR assay to detect Diplodia seriata on chipped apple wood
Authors: Jacobs Vernon , Stempien Francois Halleen Elodie , Mostert Lizel
Published: August 2024

In the deciduous fruit industry, orchards are often excavated and trees chipped. The organic material is then used as mulch for soil conservation, a practice that form part of sustainable agricultural. The presence and possible transmission of plant pathogens are not considered when trees are removed, chipped and used for mulch. Young apple trees can develop cankers due to Diplodia seriata of which the inoculum source might come from fruiting structures present on apple wood mulch. Therefore, the presence of D. seriata, on chipped apple tree wood pieces used for mulch in younger orchards was investigated. To be able to detect D. seriata, qPCR primers were designed from a previously identified unique sequence characterised amplified region (SCAR). The qPCR primers were specific for D. seriata (Cq ≤ 35 and Tm = 85$$\:\pm\:$$0.17 °C) when compared with DNA from nineteen other fungal taxa associated with canker or wood rot of apple trees tested, excluding Botryosphaeria dothidea (Cq = 38 and Tm = 85.25 °C). The qPCR assay was sensitive and had a limit of quantification of 2859 fg/µl and limit of detection of 571 fg/µl. Wood chips were collected at two time periods (from heaps and 6 months after it was spread in tree rows) in three apple orchards in the Western Cape of South Africa. DNA was extracted from water-washes of 120 wood piece samples and D. seriata was detected from 101 of these samples. This study showed that the newly developed primers was able to successfully detect D. seriata from mulched apple wood. The presence of D. seriata on apple tree wood chips indicates that there is a risk involved in using wood chips made from old apple trees.
Required fatigue strength (RFS) – a simple concept for determining an equivalent stress range indicating the necessary minimum joint quality in contrast to the actual modified equivalent strength (MES) method
Authors: Baumgartner J. , Breitenberger M. , Sonsino C. M.
Published: August 2024

This paper treats different fatigue (FAT)-scenarios for determining damage-equivalent stress ranges according to two methods for transforming a stress or load spectrum into a damage-equivalent constant amplitude loading, i.e., the Modified Equivalent Stress (MES) and the Required Fatigue Strength (RFS) concepts. The MES method is suggested by the IIW-recommendations for fatigue design and the RFS method is applied especially in the design of vehicle safety components. The resulting MES- and RFS-ranges are similar, but not equal. The MES-method delivers a damage-equivalent stress range that depends on the selected FAT-value, i.e., the position of the Woehler-curve is decisive. In contrast, the RFS-method results in a damage-equivalent fictitious Woehler-line that indicates the lowest necessary strength quality for a given stress spectrum. The allocation of the modified equivalent stress range to the appertaining bi-linear Woehler-curve does not result in the fatigue life caused by the spectrum. Only in the case of a linear Woehler-curve, the fatigue life is directly obtained. In the case of the RFS-application, the fatigue life is by definition equal to the spectrum length. For durability tests, the modified equivalent stress range (at $${L}_{S}$$

L
S

cycles) and the associated FAT-Woehler-curve should not be used. However, the Woehler-curve derived by the RFS-method allows experimental durability proofs for any amplitude-cycle combination along it. Furthermore, the required lowest necessary strength also enables the selection of the most cost-effective manufacturing technique and quality. The RFS-Woehler-curve also results in a FAT-value with a defined probability of failure depending on the required safety factor.
Adaptive dynamic programming-based multi-fault tolerant control of reconfigurable manipulator with input constraint
Authors: Zhang Zhenguo , Ma Tianhao , Zhao Yadan , Yu Shuai , Zhou Fan
Published: August 2024

In this paper, a multi-fault tolerant controller considering actuator saturation is proposed. Based on the adaptive dynamic programming(ADP) algorithm, the fault tolerant control of the reconfigurable manipulator with sensor and actuator faults are carried out. Firstly, combined with the state space expression, the nonlinear transformation of sensor fault is performed by adopting the differential homeomorphism principle. An improved cost function is constructed based on the fault estimation function obtained by the fault observer, and combined with hyperbolic tangent function to deal with input constraint problem. Then, an evaluation neural network (NN) is established and the Hamilton–Jacobi–Bellman (HJB) equation is solved by online strategy iterative algorithm. Furthermore, based on Lyapunov theorem, the stability of reconfigurable manipulator systems with multi-fault are proved. Lastly, the simulation studies are used to certify the effectiveness of the presented fault tolerant control (FTC) scheme.
Anonymous voting using distributed ledger-assisted secure multi-party computation
Authors: Schiedermeier Maximilian , Hasan Omar , Mayer Tobias , Brunie Lionel , Kosch Harald
Published: August 2024

High voter turnout in elections and referendums is desirable to ensure a robust democracy. Secure electronic voting is a vision for the future of elections and referendums. Such a system can counteract factors hindering strong voter turnout such as the requirement of physical presence during limited hours at polling stations. However, this vision brings transparency and confidentiality requirements that render the design of such solutions challenging. Specifically, the counting implementation must support reproducibility, and the choice of individual voters must remain confidential. In this paper, we propose and evaluate a novel referendum protocol that ensures transparency, confidentiality, and integrity, in trustless networks. The protocol is built by combining secure multi-party computation and distributed ledger technology, e.g., a Blockchain. The persistence and immutability of the protocol communication allow verifiability of the referendum outcome by any participant. Voters therefore do not need to trust third parties. We provide a formal description and conduct a thorough security evaluation of our proposal.
A Review of the Applications of Through-the-Earth (TTE) Communication Systems for Underground Mines
Authors: Ngwenyama Philani Larrance , Webber-Youngman Ronald C. W.
Published: August 2024

Underground mining accidents have the potential of leaving miners trapped in unknown and life-threatening locations for an extended period of time. The lives of the trapped and unaccounted-for miners are at risk and require emergency rescue. But, the primary tracking systems are highly susceptible to damage during accidents and are most likely to be defunct and inoperable post-accident. This prompted the need for a robust and reliable post-accident communication and locator system. Subsequently, the through-the-earth (TTE) communication systems were developed and tested in underground mines. Under ideal conditions, these systems are capable of post-accident full-duplex two-way voice, text, and data communication and fingerprint detection of the geolocations of the trapped miners. This is achieved through a wireless link established by the transmission of electromagnetic and seismic waves between surface and underground, even in challenged underground environments. Unlike the primary tracking systems, the TTE communication systems do not require extensive shaft-to-workplace backbone infrastructure. This has made the TTE systems to be less susceptible to damage and therefore suitable for post-accident communication. Instead, the Earth’s crust acts as the signal transmission medium which forms an uplink and downlink communication path. This is achieved by injecting an electric current into the ground using electrodes, by transmitting magnetic fields from a radiating loop antenna, or by inducing fingerprint geolocations using seismic waves. Range and data rates are the critical requirements for the effectiveness of these systems and are dependent on factors such as the antenna design, frequency, and rock properties. This study provides a review of the applications of the different types of TTE communication systems, their evolution, factors that affect them, and techniques for improving their efficiencies and capabilities. These systems present the mining industry with an opportunity to improve safety by providing post-accident communication and locating trapped miners as quickly as possible. This will improve their survival chances and ultimately reduce fatality rates in the mining industry.
The starting vortices generated by bodies with sharp and straight edges in a viscous fluid
Authors: Sader John E. , Hou Wei , Hinton Edward M. , Pullin D.I. , Colonius Tim
Published: August 2024

A two-dimensional body that moves suddenly in a viscous fluid can instantly generate vortices at its sharp edges. Recent work using inviscid flow theory, based on the Birkhoff–Rott equation and the Kutta condition, predicts that the ‘starting vortices’ generated by the sharp and straight edges of a body – i.e. the vortices formed immediately after motion begins – can be one of three distinct self-similar types. We explore the existence of these starting vortices for a flat plate and two symmetric Joukowski aerofoils immersed in a viscous fluid, using high-fidelity direct numerical simulations (DNS) of the Navier–Stokes equations. A lattice Green's function method is employed and simulations are performed for chord Reynolds numbers ranging from 5040 to 45 255. Vortices generated at the leading and trailing edges of the flat plate show agreement with the derived inviscid theory, for which a detailed assessment is reported. Agreement is also observed for the two symmetric Joukowski aerofoils, demonstrating the utility of the inviscid theory for arbitrary bodies. While this inviscid theory predicts an abrupt transition between the starting-vortex types, DNS shows a smooth transition. This behaviour occurs for all Reynolds numbers and is related to finite-time effects – there is a maximal time for which the (self-similar) starting vortices exist. We confirm the inviscid prediction that the leading-edge starting vortex of a flat plate can be suppressed dynamically. This has implications for the performance of low-speed aircraft such as model aeroplanes, micro air vehicles and unmanned air vehicles.
Recent Trends in Mass-Level Ideological Polarization in Latin America
Authors: Moncagatta Paolo , Silva Pedro
Published: August 2024

This article offers an analysis of the changes in mass-level ideological polarization in Latin America. It provides a cross-national, region-wide assessment of polarization dynamics using survey data on left-right ideological identities. A novel indicator for measuring ideological polarization at the individual level is proposed, which is more compatible with theoretical conceptualizations of ideological polarization than other existing indicators. The indicator is applied to data from the AmericasBarometer surveys to measure degrees and changes in mass-level ideological polarization in 19 Latin American countries between 2006 and 2019. The study reveals a substantial process of mass-level ideological restructuring, accompanied by a region-wide increase in ideological polarization in Latin America taking place during the second decade of the twenty-first century. We also find that ideological polarization, albeit varying in intensity from country to country, is clearly present at the mass level in the majority of countries in the region.
GETTING OUT OF THE LABYRINTH: GERALD BARRY'S WIENER BLUT AND THE PATH TO PETRA VON KANT
Authors: Fitzgerald Mark
Published: August 2024

Gerald Barry's approach to composition has undergone a number of changes. Frequently these developments coincide with the composition of a large-scale opera. One of these points of transition in his output occurs in the period before he commenced work on The Bitter Tears of Petra von Kant. Between 1999 and 2000 Barry composed three works – 1998, The Eternal Recurrence and Wiener Blut – in which he attempted to find a new compositional direction after a period in which canonic proliferation dominated his musical material. This article examines some of the main traits of these works, and Wiener Blut in particular, since it contains a greater variety of approaches than the other two compositions. The article also considers how Barry's shift in approach may have been linked to his decision to set Rainer Werner Fassbinder's play. Its quite plain, realistic prose was a contrast to the sort of text Barry had previously chosen to set, requiring a different musical response, and the article draws out some possible connections between Barry's three ‘pointillistic’ compositions and the opera.
Research on welding seam tracking algorithm for automatic welding process of X-shaped tip of concrete piles using laser distance sensor
Authors: Huynh Cao Tri , Phung Tri Cong
Published: August 2024

The manufacturing of the X-shaped tip of prestressed centrifugal concrete piles is nowadays done half automatically by combining the manual worker and the automatic welding robot. To make this welding process full automatically, the welding seam tracking algorithm is considered. There are many types of sensors that can be used to detect the welding seam such as vision sensor, laser vision sensor, arc sensor, or touch sensor. Each type of sensor has its advantages and disadvantages. In this paper, an algorithm for welding seam tracking using laser distance sensor is proposed. Firstly, the fundamental mathematics theory of the algorithm is presented. Next, the positioning table system supports the procedure is designed and manufactured. The object of this research is the fillet joint because of the characteristics of the X-shaped tip of the concrete piles. This paper proposes a new method to determine the welding trajectory of the tip using laser distance sensor. After that, the experimental results are received to verify the proposed idea. Finally, the improved proposal of the algorithm is considered to increase the accuracy of the suggested algorithm.
Earlier smart prediction of diabetic retinopathy from fundus image under innovative ResNet optimization maneuver
Authors: Sunil S. S. , Vindhya A. Shri
Published: August 2024

Diabetic retinopathy (DR) is a complication of diabetes that causes blindness and the early detection of diabetics using retinopathy images remains a challenging task. Hence, a novel, earlier smart prediction of diabetic retinopathy from fundus image under Innovative ResNet Optimization is introduced to effectively detect the earlier stage of DR from Fundus image. Initially, the fundus image is scaled during preprocessing and converted into a grayscale format. As the existing studies neglect some deserving unique features that are crucial for predicting the earliest signs of DR, a novel Fractional Radon Transform with Visibility Graph is introduced for extracting the novel features such as microaneurysms count, dot and blot hemorrhages count, statistical measures, and retinal layer thickness, in which a Generalized Cosine Fractional Radon Transform is used to capture the image’s fine-scale texture information thereby effectively capturing the statistical measures, while a weighted Horizontal Visibility Graph is made to examine the apparent spatial relationships between pixel pairs in the image based on the values of the pixels’ gray levels. Further, the existing works failed to identify the small fine dark areas that were ignored throughout the morphological opening process. In order to overcome this issue, a Morphological Black Hat Transform with Optimized ResNet Algorithm is implemented, where segmentation is made through Enriched Black Hat Transform-based Morphological operation to identify fine dark regions among the pixels inside the eye samples, and the classification is done by using ResNet-driven S-GOA (Socio Grasshopper Optimization Algorithm), to optimally predict the stages of DR. The result obtained showed that the proposed model outperforms existing techniques with high performance and accuracy.
Storm‐Driven Warm Inflow Toward Ice Shelf Cavities—An Idealized Study of the Southern Weddell Sea Continental Shelf System
Authors: Dundas Vår , Daae Kjersti , Darelius Elin
Published: August 2024

Sudden peaks in south‐westward wind strength (storms) have been observed to drive pulses of enhanced southward currents on the continental shelf east of the Filchner Trough. However, the link between wind and southward flow is not persistent, and it is uncertain which conditions favor the wind‐driven pulses that typically bring modified Warm Deep Water southward toward the front of the Filchner Ice Shelf. We run a set of experiments in an idealized numerical model setup and find that storms induce a net southward “warm” (Θ > −1.5°C) volume transport in the trough region throughout the year. This is mainly explained by enhanced barotropic circulation on the shelf. The greatest storm‐driven increase in southward heat transport occurs during summer and fall, with an exceptionally large increase in November and December due to storm‐enhanced circulation on the shelf and seasonally varying heat content availability south of the shelf break. Analysis of ERA5‐data shows that the number of storm days (wind speed >10 m s−1) per year in the region co‐vary with SAM. The positive trend in SAM can hence be expected to further enhance the importance of storm‐driven southward heat transport toward the Filchner Ice Shelf cavity, which may have consequences for the basal melting.
Ray and Halo Impact Craters on Ganymede: Fingerprint for Decoding Ganymede's Crustal Structure
Authors: Baby N. R. , Kenkmann T. , Stephan K. , Wagner R. J. , Hauber E.
Published: August 2024

Impact craters are a unique tool not only for inferring ages of planetary surfaces and examining geological processes, but also for exploring subsurface properties. We use ejecta blankets as proxies to obtain insights into the subsurface characteristics and the vertical stratification of Ganymede's icy crust. We investigated 36 prominent ray and halo craters using images acquired during the Voyager, Galileo, and Juno spacecraft missions. These craters exhibit diverse characteristics, including dark rays, bright rays, or their combination, in both continuous and discontinuous patterns as well as dark and bright halos. Dark halo craters (DHCs) have the smallest radial extents of their dark ejecta deposits, while dark ray craters (DRCs) have the largest. DRCs in dark terrain suggest a thickness of less than ∼2 km based on their excavation depths. DRCs and DHCs craters located in light terrain (LT) reveal significant heterogeneity in the uppermost portions of icy crust at various locations. DRCs and DHCs in the LT require the presence of at least one layer of dark material. This is the case if the LT is formed by tectonic rifting and graben formation. In contrast, if the LT is formed by tectonic spreading, bright halo and ray craters are expected to form.
Autocorrelation—A Simple Diagnostic for Tropical Precipitation Variability in Global Kilometer‐Scale Climate Models
Authors: Spät Dorian , Biasutti Michela , Schuhbauer David , Voigt Aiko
Published: August 2024

We propose the lag‐1 autocorrelation of daily precipitation as a simple diagnostic of tropical precipitation variability in climate models. This metric generally has a relatively uniform distribution of positive values across the tropics. However, selected land regions are characterized by exceptionally low autocorrelation values. Low values correspond to the dominance of high frequency variance in precipitation, and specifically of high frequency convectively coupled equatorial waves. Consistent with previous work, we show that CMIP6 climate models overestimate the autocorrelation. Global kilometer‐scale models capture the observed autocorrelation when deep convection is explicitly simulated. When a deep convection parameterization is used, though, the autocorrelation increases over land and ocean, suggesting that land surface‐atmosphere interactions are not responsible for the changes in autocorrelation. Furthermore, the metric also tracks the accuracy of the representation of the relative importance of high frequency and low frequency convectively coupled equatorial waves in the models.