bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lower mental health related quality of life precedes dementia diagnosis: findings from the EPIC-Norfolk prospective population-based study
Authors: Chintapalli Renuka , Myint Phyo K , Brayne Carol , Hayat Shabina , Keevil Victoria L 
Published: October 2023

AbstractLower Health Related Quality of Life (HRQoL) precedes dementia in older adults in the USA. We explore prospective associations between HRQoL and dementia in British adults in mid and late-life, when interventions to optimise cognitive ageing may provide benefit. 7,452 community-dwelling participants (57% women; mean age 69.3 ± 8.3 years) attended the European Prospective Investigation of Cancer-Norfolk study’s third health check (3HC) and reported their HRQoL using Short-Form 36 (SF-36). Cox Proportional Hazard regression models explored associations between standard deviation differences in baseline Physical Component (PCS) and Mental Component Summary (MCS) scores, as well as eight SF-36 sub-scales (physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, mental health), and incident dementia over ten years. Logistic regression models explored cross-sectional relationships at the 3HC between HRQoL and objective global cognitive function (n = 4435; poor cognition = lowest performance decile). The cohort was examined as a whole and by age-group (50–69, ≥ 70), considering socio-demographics and co-morbidity. Higher MCS scores were associated with lower chance of incident dementia (Hazard Ratio [HR] = 0.74, 95% CI 0.68–0.81) and lower odds of poor cognition (Odds Ratio [OR] = 0.82, 0.76–0.89), with findings similar by age-group. Higher PCS scores were not associated with dementia in the whole cohort (HR = 0.93, 0.84–1.04) or considering age-groups; and were only associated with poor cognition in younger participants (OR = 0.81, 0.72–0.92). Similarly, associations between higher scores on subscales pertaining to mental, but not physical, HRQoL and lower dementia incidence were observed. Lower mental HRQoL precedes dementia diagnosis in middle-aged and older British adults.
Perception of con- and heterospecific injury cues in tadpoles of dendrobatid, ranid and bufonid frogs (Anura)
Authors: Lipkowski Konrad , Almeida Diana Abondano , Schulte Lisa Maria 
Published: October 2023

AbstractPredator-prey interactions are vital for organismal survival. They shape anti-predator mechanisms and often depend on sensory abilities. Tadpoles use chemical cues, such as injury cues (alarm cues), to assess predation risks and modify their life-history, morphology, and behaviours accordingly. However, the prevalence of chemically mediated anti-predator responses in species with distinct ecological niches (e.g. within phytotelmata) remains unknown, hindering our understanding of the ecological significance and evolution of alarm substances. Therefore, our study aimed to investigate chemically mediated anti-predator responses in tadpoles of two Neotropical poison dart frogs, Ranitomeya sirensis and Epipedobates anthonyi (and compare their responses to two Palearctic model organisms, Rana temporaria and Bufo bufo, which are known to utilise alarm substances). Through behavioural bioassays, we exposed predator-naïve tadpoles to extracts of each species (i.e. con- and heterospecific cues), including water as a control (i.e. five treatments per species). We assessed changes in their activity before and after stimulus introduction. Our results show that E. anthonyi did not respond to any of the stimuli, whereas R. sirensis displayed increased activity levels exclusively in response to conspecific cues, but not to heterospecific cues. With this, our findings suggest a specialized recognition system in R. sirensis, potentially directed at conspecific competitors but likely unrelated to anti-predator mechanisms. In contrast, E. anthonyi may be insensitive to injury cues or utilize alternative sensory modalities to respond to acute predation events. This study sheds light on the chemical alarm response system of Neotropical poison dart frog tadpoles, providing foundational understanding of how dendrobatids react to injury cues. It prompts questions about the ecological significance and evolutionary implications of chemical communication in species facing extreme resource limitation during development and underscores the importance of comparative research for understanding chemical communication in diverse aquatic ecosystems.
The fiscal and intergenerational burdens of brakes and subsidies for energy prices
Authors: Huber Johannes , Scharrer Christian 
Published: October 2023

AbstractWe study the effects of different financing rules for untargeted energy price brakes and subsidies on intergenerational welfare in a large-scale overlapping generations model. The results indicate that, in comparison with a laissez-faire solution without any government interventions, debt-financed implementations of such measures are very detrimental for young and future generations. However, the taxation of windfall profits can significantly contribute to reduce the economic burdens of these generations; whereas, the positive effects on older generations are much less pronounced.
Three Distributions in the Extended Occupancy Problem
Authors: O’Neill Ben 
Published: October 2023

AbstractThe classical and extended occupancy distributions are useful for examining the number of occupied bins in problems involving random allocation of balls to bins. We examine the extended occupancy problem by framing it as a Markov chain and deriving the spectral decomposition of the transition probability matrix. We look at three distributions of interest that arise from the problem, all involving the noncentral Stirling numbers of the second kind. These distributions give a useful generalisation to the binomial and negative-binomial distributions. We examine how these distributions relate to one another, and we derive recursive properties and mixture properties that characterise the distributions.
Potentiality switches and epistemic uncertainty: the Argument from Potential in times of human embryo-like structures
Authors: Pereira Daoud Ana M. , Dondorp Wybo J. , Bredenoord Annelien L. , De Wert Guido M. W. R. 
Published: October 2023

AbstractRecent advancements in developmental biology enable the creation of embryo-like structures from human stem cells, which we refer to as human embryo-like structures (hELS). These structures provide promising tools to complement—and perhaps ultimately replace—the use of human embryos in clinical and fundamental research. But what if these hELS—when further improved—also have a claim to moral status? What would that imply for their research use? In this paper, we explore these questions in relation to the traditional answer as to why human embryos should be given greater protection than other (non-)human cells: the so-called Argument from Potential (AfP). According to the AfP, human embryos deserve special moral status because they have the unique potential to develop into persons. While some take the development of hELS to challenge the very foundations of the AfP, the ongoing debate suggests that its dismissal would be premature. Since the AfP is a spectrum of views with different moral implications, it does not need to imply that research with human embryos or hELS that (may) have ‘active’ potential should be completely off-limits. However, the problem with determining active potential in hELS is that this depends on development passing through ‘potentiality switches’ about the precise coordinates of which we are still in the dark. As long as this epistemic uncertainty persists, extending embryo research regulations to research with specific types of hELS would amount to a form of regulative precaution that as such would require further justification.
Serum miRNA-21, miRNA-146a and plasma cell free DNA as novel biomarkers for assessing systemic lupus erythematosus activity
Authors: Ibrahim Muhammed R.Kh. , Waly Nancy GFM , Moness Hend , Ahmed Shimaa S. , Ibrahem Reham 
Published: October 2023

Abstract
Background
MicroRNA and cell-free DNA have shown significant correlations with several autoimmune disorders including systemic lupus erythematosus (SLE). SLE has been associated with challenges in determining its activity, so that the need for biomarkers contributing to assessing its activity is emerging. The current study investigated miRNA-21, miRNA-146a and plasma cf-DNA in determination of SLE activity, in addition their association with clinical data including complement factor 3 (C3), complement factor(C4), anti-dsDNA, and other disease activity indices.

Methods and results
Eighty subjects divided into; twenty active patients (with SLE-DAI2K score of 16–18) twenty inactive patients (with SLE-DAI2K score of 1–3), and forty healthy control participants) were included in this study. Serum miR-21, miR-146a, and plasma cf-DNA were quantified by real time PCR and their correlation with clinical data was statistically analyzed. The results demonstrated that active cases have significant upregulation of serum miRNA-21 and plasma cf-DNA. Moreover, miR-21 showed a negative, significant pertaining to C3, C4 and was positively related to Systemic Lupus Erythematosus Disease Activity Index 2 K score (SLE-DAI Index2K score) and Systemic-Lupus-Erythematosus-Disease Activity-Index 2 K activity (SLE-DAI 2 K activity). Also, Active group miRNA-146a was negatively, significantly correlated with C3, as well as a positive significant relationship with SLE-DAI2K score and SLEDAI 2 K activity, in addition to anti DNA Autoantibodies. Furthermore, miR-21 and cf-DNA demonstrated a differential value through Receiver Operating Characteristic (ROC) curve’s study.

Conclusions
the present study illustrated miR-21, miR-146a, and cf-DNA relationship with SLE clinical data. In addition to their potential value in SLE diagnosis, and activity determination.
Analyzing properties of success for assessment development in maker-based learning
Authors: Saplan Kailea , Abramovich Sam , Wardrip Peter 
Published: October 2023

AbstractPublic libraries have embraced the popularity of maker education and makerspaces by integrating maker education in their program offerings, and by developing makerspaces that enable patrons to tinker and create products. But less attention has been paid to supporting librarians and maker educators in assessing the impact of these spaces. To expand assessment scholarship and practices related to public library makerspaces, we offer two contributions. First, we share findings from a qualitative research study in which we analyzed how 17 library staff and maker educators define success and identify evidence of success in their maker programs. The findings from that study, in conjunction with our collective experience as research partners working with public library makerspaces, laid the foundation for a series of analysis tools we developed to help stakeholders identify the assessment needs of such learning environments. The Properties of Success Analysis Tools (PSA Tools) represent our second contribution; these tools invite library staff and maker educators to reflect on and unpack their definitions of success in order to identify what features a relevant assessment tool should have.
Calculus and Fine Properties of Functions of Bounded Variation on RCD Spaces
Authors: Brena Camillo , Gigli Nicola 
Published: October 2023

AbstractWe generalize the classical calculus rules satisfied by functions of bounded variation to the framework of$${\textrm{RCD}}$$RCDspaces. In the infinite dimensional setting, we are able to define an analogue of the distributional differential and, on finite dimensional spaces, we prove fine properties and suitable calculus rules, such as the Vol’pert chain rule for vector valued functions.
Shared Task Representation for Human–Robot Collaborative Navigation: The Collaborative Search Case
Authors: Dalmasso Marc , Domínguez-Vidal J. E. , Torres-Rodríguez Iván J. , Jiménez Pablo , Garrell Anaís , Sanfeliu Alberto 
Published: October 2023

AbstractRecent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on implicit collaboration settings, on hypothetical or simulated task allocation problems, on shared autonomy or on having the human as a manager. This work takes a step forward by presenting an end-to-end system capable of handling real-world human–robot collaborative navigation tasks. This system makes use of the Social Reward Sources model (SRS), a knowledge representation to simultaneously tackle task allocation and path planning, proposes a multi-agent Monte Carlo Tree Search (MCTS) planner for human–robot teams, presents the collaborative search as a testbed for HRCN and studies the usage of smartphones for communication in this setting. The detailed experiments prove the viability of the approach, explore collaboration roles adopted by the human–robot team and test the acceptability and utility of different communication interface designs.
Improved survival at the cost of more chronic lung disease? Current management and outcomes in extremely preterm infants born in New South Wales and the Australian Capital Territory: 2010–2020
Authors: Legge Nele , Popat Himanshu , Fitzgerald Dominic 
Published: October 2023

Abstract
Background
Since 2010, most tertiary care hospitals in Australia have changed how they care for extremely premature infants. However, in-hospital and longer-term outcome data have suggested unchanged or even worse health outcomes in later epochs, especially respiratory outcomes. This study examined the trend in outcomes since these changes were introduced, particularly the prevalence of chronic neonatal lung disease (CLD).

Methods
This is a retrospective cross-sectional analysis of data from the Neonatal Intensive Care Units’ (NICUS) database of all perinatal intensive care units in New South Wales and the Australian Capital Territory, including infants born at ≥ 24 and ≤ 28 weeks of gestational age in tertiary perinatal units between January 1, 2010, and December 31, 2020. Temporal trends and changes in primary outcome were examined by linear and adjusted multivariable logistic regression models.

Results
This study included 3258 infants. We saw significant changes in antenatal magnesium sulfate (75% increase), delayed cord clamping (66% increase), delivery room intubations (30% decrease), any time (20% decrease), duration on mechanical ventilation (100-hour decrease), and hours on noninvasive ventilation (200-hour increase). Mortality decreased from 17% to 6%. The incidence of CLD increased significantly even when adjusted for confounders (15% increase). Any time and mean hours spent on mechanical ventilation significantly increased the odds of CLD. This study could not find a significant association of any of the protective antenatal treatments on CLD.

Conclusions
The last decade saw a significant improvement in survival and survival to discharge without major morbidity. There was increased use of magnesium sulfate, delayed cord clamping, and less invasive respiratory management of extremely preterm infants. The avoidance of mechanical ventilation may impact the incidence of CLD.
Posttraumatic growth and illness perception in survivors of adolescent and young adult cancer
Authors: Bolliger Céline , Holmer Pauline , Dehler Silvia , Roser Katharina , Michel Gisela 
Published: October 2023

Abstract
Background
Adolescents and young adults (AYAs) are diagnosed with cancer during a challenging period of life. We aimed to (1) describe positive changes (posttraumatic growth; PTG) and illness perception, and (2) determine associations between PTG and illness perception, sociodemographic, and cancer-related characteristics in Swiss AYA cancer survivors.

Methods
We conducted a population-based survey among AYA cancer survivors diagnosed 1990–2005 at age 16–25 years, who had survived ≥ 5 years. We used the Posttraumatic Growth Inventory (PTGI) and the Brief Illness Perception Questionnaire (BIPQ). Data were analyzed using descriptive statistics and linear regressions.

Results
Among 389 contacted survivors, 160 responded (61.3% male; mean age = 34 years, SD = 5.8). The mean PTG sum score was 54.63 (SD = 20.24; range: 8–101). Survivors reported high PTG especially in the domains Appreciation of life (mean = 3.23; 95% confidence interval, 3.05–3.40), Personal strength (2.94; 2.77–3.12), and Relating to others (2.57; 2.40–2.74). Neither sociodemographic nor cancer-related characteristics were associated with PTG. Survivors who perceived follow-up care as helpful (p < 0.001) and those with high concerns about the consequences of the illness (p < 0.001) reported higher PTG.

Conclusions
Finding ways to promote PTG and to identify and address maladaptive illness perceptions may help survivors transform their experience into something meaningful for their future life.
Towards noise robust acoustic insect detection: from the lab to the greenhouse
Authors: Branding Jelto , von Hörsten Dieter , Wegener Jens Karl , Böckmann Elias , Hartung Eberhard 
Published: October 2023

AbstractSuccessful and efficient pest management is key to sustainable horticultural food production. While greenhouses already allow digital monitoring and control of their climate parameters, a lack of digital pest sensors hinders the advent of digital pest management systems. To close the control loop, digital systems need to be enabled to directly assess the state of different insect populations in a greenhouse. The presented article investigates the feasibility of acoustic sensors for insect detection in greenhouses. The study is based on an extensive dataset of acoustic insect recordings made with an array of high-quality microphones under noise-shielded conditions. By mixing these noise-free laboratory recordings with environmental sounds recorded with the same equipment in a greenhouse, different signal-to-noise ratios (SNR) are simulated. To explore the possibilities of this unique and novel dataset, two deep-learning models are trained on this simulation data. A simple spectrogram-based model represents the baseline for a comparison with a model capable of processing multi-channel raw audio data. Making use of the unique possibility of the dataset, the models are pre-trained on clean data and fine-tuned on noisy data. Under lab conditions, results show that both models can make use of not just insect flight sounds but also the much quieter sounds of insect movements. First attempts under simulated real-world conditions showed the challenging nature of this task and the potential of spatial filtering. The analysis enabled by the proposed methods for training and evaluation provided valuable insights that should be considered for future work.
An Extension of DNAContainer with a Small Memory Footprint
Authors: El-Shaikh Alex , Seeger Bernhard 
Published: October 2023

AbstractOver the past decade, DNA has emerged as a new storage medium with intriguing data volume and durability capabilities. Despite its advantages, DNA storage also has crucial limitations, such as intricate data access interfaces and restricted random accessibility. To overcome these limitations, DNAContainer has been introduced with a novel storage interface for DNA that spans a very large virtual address space on objects and allows random access to DNA at scale. In this paper, we substantially improve the first version of DNAContainer, focusing on the update capabilities of its data structures and optimizing its memory footprint. In addition, we extend the previous set of experiments on DNAContainer with new ones whose results reveal the impact of essential parameters on the performance and memory footprint.
Wind and Water: How Extreme Weather Conditions Impact Residential Real Estate in Developing Countries
Authors: Spencer Nekeisha 
Published: October 2023

AbstractThe damaging effects of extreme weather is concerning for many countries across the globe. Though the impact of these events on the housing market has been studied extensively, one aspect that remains unexplored is the value of mortgages. Further, there is no clarity on the impact of the specific types of homes. This study analyzed mortgages and apartment values and included residential land sale prices over 16 years for different localities across Jamaica. The analysis revealed that mortgages are adversely affected by excess rainfall while apartment sale prices are reduced by hurricanes but increased by excess rain. However, residential land prices remain unaffected by both events. The results point to the importance of climate adaptation for the local real estate market and property investment.
Building 3D CityGML models of mining industrial structures using integrated UAV and TLS point clouds
Authors: Van Canh Le , Cao Cuong Xuan , Nguyen Anh Ngoc , Pham Chung Van , Nguyen Long Quoc 
Published: October 2023

AbstractMining industrial areas with anthropogenic engineering structures are one of the most distinctive features of the real world. 3D models of the real world have been increasingly popular with numerous applications, such as digital twins and smart factory management. In this study, 3D models of mining engineering structures were built based on the CityGML standard. For collecting spatial data, the two most popular geospatial technologies, namely UAV-SfM and TLS were employed. The accuracy of the UAV survey was at the centimeter level, and it satisfied the absolute positional accuracy requirement of creating all levels of detail (LoD) according to the CityGML standard. Therefore, the UAV-SfM point cloud dataset was used to build LoD 2 models. In addition, the comparison between the UAV-SfM and TLS sub-clouds of facades and roofs indicates that the UAV-SfM and TLS point clouds of these objects are highly consistent, therefore, point clouds with a higher level of detail and accuracy provided by the integration of UAV-SfM and TLS were used to build LoD 3 models. The resulting 3D CityGML models include 39 buildings at LoD 2, and two mine shafts with hoistrooms, headframes, and sheave wheels at LoD 3.
Identification of goaf instability under blasting disturbance using microseismic monitoring technology
Authors: Jia Hanwen , Yan Baoxu , Yang Zhen , Yilmaz Erol 
Published: October 2023

AbstractMicro-seismic (MS) technique can be used to appreciate rock failure process and severity of damage by quantifying micro-earthquakes in terms of time, location, grade, and energy release. Based on 3D laser detection and high-precision micro-seismic monitoring, this study analyzes the MS activity, stress and displacement evolution linked with the instability/failure property of hidden goaf incorporating several blasting disturbances in an open pit mine. MS monitoring outcomes reveal two arch fracture zones in the goaf roof, and MS occasions are mostly intense at rock-intersecting interface of north–south goafs. Evolution of apparent stress, apparent volume, and displacement reveals that the goaf is currently in a stable state. The current investigation offers a novel field method and view of inspecting the stability of goaf subjected to blasting disturbance in mines.