bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cytosolic retention of HtrA2 during mitochondrial protein import stress triggers the DELE1-HRI pathway
Authors: Bi Paul Y. , Killackey Samuel A. , Schweizer Linus , Arnoult Damien , Philpott Dana J. , Girardin Stephen E. 
Published: March 2024

AbstractMitochondrial stress inducers such as carbonyl cyanide m-chlorophenyl hydrazone (CCCP) and oligomycin trigger the DELE1-HRI branch of the integrated stress response (ISR) pathway. Previous studies performed using epitope-tagged DELE1 showed that these stresses induced the cleavage of DELE1 to DELE1-S, which stimulates HRI. Here, we report that mitochondrial protein import stress (MPIS) is an overarching stress that triggers the DELE1-HRI pathway, and that endogenous DELE1 could be cleaved into two forms, DELE1-S and DELE1-VS, the latter accumulating only upon non-depolarizing MPIS. Surprisingly, while the mitochondrial protease OMA1 was crucial for DELE1 cleavage in HeLa cells, it was dispensable in HEK293T cells, suggesting that multiple proteases may be involved in DELE1 cleavage. In support, we identified a role for the mitochondrial protease, HtrA2, in mediating DELE1 cleavage into DELE1-VS, and showed that a Parkinson’s disease (PD)-associated HtrA2 mutant displayed reduced DELE1 processing ability, suggesting a novel mechanism linking PD pathogenesis to mitochondrial stress. Our data further suggest that DELE1 is likely cleaved into DELE1-S in the cytosol, while the DELE1-VS form might be generated during halted translocation into mitochondria. Together, this study identifies MPIS as the overarching stress detected by DELE1 and identifies a novel role for HtrA2 in DELE1 processing.
Curving THz wireless data links around obstacles
Authors: Guerboukha Hichem , Zhao Bin , Fang Zhaoji , Knightly Edward , Mittleman Daniel M. 
Published: March 2024

AbstractA key challenge in millimeter-wave and terahertz wireless networks is blockage of the line-of-sight path between a base station and a user. User and environmental mobility can lead to blockage of highly directional beams by intervening people or objects, yielding link disruptions and poor quality of service. Here, we propose a solution to this problem which leverages the fact that, in such scenarios, users are likely to be located within the electromagnetic near field of the base station, which opens the possibility to engineer wave fronts for link maintenance. We show that curved beams, carrying data at high bit rates, can realize a link by curving around an intervening obstacle. We develop a model to analyze and experimentally evaluate the bandwidth limitations imposed by the use of self accelerating beams. We also demonstrate that such links employ the full aperture of the transmitter, even those portions which have no direct line of sight to the receiver, emphasizing that ray optics fails to capture the behavior of these near-field wave fronts. This approach, which is ideally suited for use at millimeter-wave and terahertz frequencies, opens vast new possibilities for wave front management in directional wireless networks.
Short‐term electric load forecasting based on empirical wavelet transform and temporal convolutional network
Authors: Zhao Zhongwei , Lin Wenfang 
Published: March 2024

AbstractShort‐term load forecasting is the basis of power system operation and analysis and is of great significance for the stable operation of power systems. To solve the problems of insufficient mining of the intrinsic information of load data, randomness, and non‐linearity, and to improve the accuracy of load prediction, the authors propose a short‐term power load prediction model based on empirical wavelet transform (EWT) decomposition and the temporal convolutional network (TCN). First, the Pearson coefficient is used to eliminate the less relevant influencing factors to reduce the complexity of the model. Then, the EWT algorithm is used to decompose the original load signal to fully exploit the load data time domain and frequency domain information, while solving the problems of non‐linearity and randomness. Finally, the decomposed subsequences are input to the TCN network for prediction superposition to obtain the final results. The experimental results show that, compared with the single models TCN, gated recurrent units (GRU), and long short‐term memory (LSTM), and the hybrid models EWT‐GRU, EWT‐LSTM, and VMD‐TCN, the R2 of the short‐term power load forecasting model based on EWT‐TCN is improved by 0.2099%, 0.2519%, 0.3453%, 0.0334%, 0.1766%, and 0.1228%, respectively.
Highly robust co‐estimation of state of charge and state of health using recursive total least squares and unscented Kalman filter for lithium‐ion battery
Authors: Li Xiaohui , Liu Weidong , Liang Bin , Li Qian , Zhao Yue , Hu Jian 
Published: March 2024

AbstractState of charge (SOC) and state of health (SOH) constitute pivotal factors in the efficient and secure management of lithium‐ion batteries, particularly within the context of electric vehicles. A highly‐robust co‐estimation method is proposed in this paper to accurately assess the SOC and SOH under strong electromagnetic interference environment. First, the 1‐RC equivalent circuit model is adopted and the model parameters are identified in a real‐time manner using the recursive total least‐square method to improve the accuracy and adaptivity of the battery model. Subsequently, the SOH estimation is reframed as capacity estimation and an unscented Kalman filter is designed to co‐estimate the SOC and capacity based on the battery model. The results suggest that the proposed method has strong robustness against the measurement noises on current and voltage. The average estimation errors of SOC and capacity are 1.57% and 0.11 Ahr, respectively.
Dual‐labelled multi‐Bernoulli filter based on specific emitter identification
Authors: Guan Xin , Lu Yu 
Published: March 2024

AbstractIn complex electromagnetic environments, airborne passive bistatic radar encounters the challenge of associating emitters with measurements for multi‐target tracking. The authors propose a solution based on specific emitter identification technology. Firstly, generative adversarial networks (GANs) are utilised to extract and classify emitter signals using radio frequency fingerprint (RFF) features. The classification results are then used to construct a set of emitter labels for pre‐processing the measurement data. Subsequently, the pre‐processed measurement data set is input into the labelled multi‐Bernoulli filter framework, which is extended to a dual‐labelled (target label and emitter label) multi‐Bernoulli filter. This filter jointly predicts and updates the multi‐target posterior density, enabling the estimation of multi‐target trajectories. The effectiveness of the proposed algorithm is validated using two experiments. The results demonstrate that the GAN based on RFF features effectively identifies emitter signals. Moreover, the dual‐labelled multi‐Bernoulli filter, based on specific emitter identification, accurately estimates multi‐target trajectories using measurement data from an airborne passive radar of the multi‐transmit single‐receive type. This approach provides a novel and effective solution to the multi‐target tracking problem in complex electromagnetic environments.
Navigating the Outdoors: A Case Study on Outdoor Equity
Authors: Ospina Natalia 
Published: March 2024

Summary

My ties to the outdoors began very young. I don’t think I am unique in that. I come from a lineage of caretakers of the land and knew that the reason I ended up on American soil at age 4, was because the land my abuelo

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in Colombia had been tending was seized by a rebel group called the FARC. I remember playing in the deep woods of the piedmont of North Carolina, running through puddles with bare feet, collecting unknown plants to make forts. I was raised on picking honeysuckles, eating biscuits, and arepas, so many arepas

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. I always knew that I was different though I tried so hard to erase every bit of what made me who I was. I would ask my parents to not introduce themselves with their names, I would try to copy what the other girls wore, I desperately wanted my thick curly hair to be stick straight, and I avoided inviting friends over to my house, as if giving up a world to move to another world was embarrassing. In high school, I started to realize that pretending was exhausting but also felt like the pressure was far more than I could take, and I continued to mask my identity. I would spend my time continuing to run through neighborhoods, jump in lakes every chance I got, but never did I think that these now known coping mechanisms to find balance in my turbulent mental space were an attempt to try to find a connection to the land.

Information
© CAB International 2024
Network community detection using higher-order structures
Authors: Yu X , Zhu J 
Published: March 2024

Summary
In many real-world networks, it is often observed that subgraphs or higher-order structures of certain configurations, e.g., triangles and by-fans, are overly abundant compared to standard randomly generated networks (Milo et al., 2002). However, statistical models accounting for this phenomenon are limited, especially when community structure is of interest. This limitation is coupled with a lack of community detection methods that leverage subgraphs or higher-order structures. In this paper, we propose a new community detection method that effectively uses higher-order structures in a network. Furthermore, for the community detection accuracy, under an edge-dependent network model that consists of both community and triangle structures, we develop a finite-sample error bound characterized by the expected triangle degree, which leads to the consistency of the proposed method. To the best of our knowledge, this is the first statistical error bound and consistency result for community detection of a single network considering a network model with dependent edges. We also show, in both simulation studies and a real-world data example, that our method unveils network communities that are otherwise invisible to methods that ignore higher-order structures.
Involvement of Minority Social Workers in Policy Practice: Frontline Managers’ Discretion
Authors: Nouman Hani 
Published: March 2024

Abstract
In multicultural societies, social workers from diverse groups, including ethnic minority groups, may be engaged in policy practice. Their involvement is emphasised as important and essential to reducing gaps between the majority and the minority. Frontline managers may play a crucial role in legitimising minority social workers to act in policy arenas through forging the organisational culture. Their discretion of involvement can be influenced by institutional opportunities. Interviews with frontline managers in Arab localities in Israel reveal that institutional rules—in the contexts of local government, state and culture largely shape the perceptions of managers as well as the practices and processes in organisations regarding involvement of minority social workers in policy arenas.
Alginate-based water-soluble adhesives: effect of incorporated phenolic hydroxy groups on adhesiveness
Authors: Inata Soi , Nakanishi Shogo , Sogawa Hiromitsu , Sanda Fumio 
Published: March 2024

Abstract
Alginic acid (Alg) was modified with tyramine (TA), homoveratrylamine (HVTA), and 2-phenylethylamine (PA) to obtain Alg-based adhesives, AlgTA, AlgHVTA, and AlgPA. The adhesiveness of the modified Algs were evaluated and compared with previously reported catechol-modified alginate, AlgDA. AlgTA showed adhesion tendency differently from AlgDA, depending on the incorporation ratios of TA. AlgHVTA with protected phenolic hydroxy groups showed lower adhesiveness than AlgDA for mica surfaces, but higher for polymethyl methacrylate surfaces. AlgPA without a phenolic hydroxy group also exhibited moderate adhesiveness for mica.
Reverse Phase HPLC Methodology for the Determination of Bay K8644
Authors: Miranda Pablo , Castro Analía , Rodríguez Grassi Luisina , Davyt Danilo , Hill Marcelo , Segovia Mercedes , Mombrú Alvaro W , Pardo Helena 
Published: March 2024

Abstract
Following ICH guidelines for analytical validation, we report a common C18 column stability indicating isocratic reverse phase high performance liquid chromatography method for the determination of the ion channel modulator Bay K8644. Two main forced degradation products and a minor impurity were also tentatively identified by Mass Spectrometry. The mobile phase consisted of a 50/50 acetonitrile/buffer mixture at a flow rate of 2 mL/min. Mean retention time for Bay K8644 was 3.030 minutes. Excellent linearity (r = 0.9998) was achieved in the range 0.10–1.40 μg/mL at 274 nm wavelength. Analytical limits were 16.56 ± 1.04 ng/mL for detection and 55.21 ± 3.48 ng/mL for quantitation respectively. Accuracy and precision studies showed good results (95–105%). Robustness was assessed by varying ±3%, both temperature and flow rate. Five different stress conditions were applied to assess Bay K8644’s stability. Only basic and photolytic treatments yielded degradation products, both correctly resolved in a total runtime of 4 minutes. In conclusion, we developed a fast, simple, sensitive, accurate, precise, reliable and stability indicating method for detecting/quantifying Bay K8644, and tentatively characterized its main impurities/forced degradation products.
A proper financialisation? New financing mechanisms for developing countries
Authors: Cingolani Massimo , Toporowski Jan 
Published: March 2024

Abstract
The common view of critics of international finance is that unregulated capital movements destabilise developing countries. At the same time, financial innovations such as foreign exchange swaps are considered to be ‘shadow banking’ and a part of that destabilising international financial environment. The alternative is a reliance on finance in domestic currency. Here there is a problem that finance is poorly developed in many developing countries. This paper outlines an international financing mechanism, based on foreign exchange swaps, that provides for sustainable foreign finance of lending in domestic currencies in developing countries. Section 2 contains a literature review. Section 3 considers the conditions for stable financing of economic activity. Section 4 outlines a swap-based lending facility that can assist domestic financial development and discusses it form the microeconomic viewpoint. Section 5 looks at some of the macro-implications of such a facility. A final section concludes.
Magnetic Resonance Enterography and Intestinal Ultrasound for the Assessment and Monitoring of Crohn’s Disease
Authors: Kumar Shankar , De Kock Isabelle , Blad William , Hare Richard , Pollok Richard , Taylor Stuart A 
Published: March 2024

Abstract
Magnetic resonance enterography [MRE] and intestinal ultrasound [IUS] have developed rapidly in the past few decades, emerging as the primary non-invasive options for both diagnosing and monitoring Crohn’s disease [CD]. In this review, we evaluate the pertinent data relating to the use of MRE and IUS in CD. We summarise the key imaging features of CD activity, highlight their increasing role in both the clinical and the research settings, and discuss how these modalities fit within the diagnostic pathway. We discuss how they can be used to assess disease activity and treatment responsiveness, including the emergence of activity scores for standardised reporting. Additionally, we address areas of controversy such as the use of contrast agents, the role of diffusion-weighted imaging, and point-of-care ultrasound. We also highlight exciting new developments, including the applications of artificial intelligence. Finally, we provide suggestions for future research priorities.
Early life poly- and perfluoroalkyl substance levels and adiposity in the first 2 years of life
Authors: van Beijsterveldt Inge A L P , van Zelst Bertrand D , Dorrepaal Demi J , van den Berg Sjoerd A A , Hokken-Koelega Anita C S 
Published: March 2024

Abstract

Importance
Poly- and perfluoroalkyl substances (PFASs) are nondegradable, man-made chemicals. They accumulate in humans with potential harmful effects, especially in susceptible periods of human development, such as the first months of life. We found that, in our cohort, exclusively breastfed (EBF) infants had 3 times higher PFAS plasma levels compared with exclusively formula-fed (EFF) infants at the age of 3 months. Thus, PFASs could potentially reduce the health benefits of breastfeeding.

Objective
We investigated the associations between PFAS levels at the age of 3 months and accelerated gain in fat mass during the first 6 months of life, body composition at 2 years, and whether these associations differ between EBF and EFF infants.

Setting
In 372 healthy term-born infants, we longitudinally assessed anthropometrics, body composition (by air-displacement plethysmography and dual-energy X-ray absorptiometry), and visceral and subcutaneous fat (by abdominal ultrasound) until the age of 2 years.

Measures
The plasma levels of 5 individual PFASs were determined by liquid chromatography–electrospray ionization–tandem mass spectrometry at the age of 3 months.

Main outcomes
We studied associations between PFAS levels and outcomes using multiple regression analyses.

Results
Higher early life plasma perfluorooctanoic acid and total PFAS levels were associated with an accelerated gain in fat mass percentage [FM%; &gt;0.67 SD score (SDS)] during the first 6 months of life. Higher early life PFAS levels were associated with lower fat-free mass (FFM) SDS at the age of 2 years, but not with total FM% SDS at 2 years. Furthermore, we found opposite effects of PFAS levels (negative) and exclusive breastfeeding (positive) at the age of 3 months on FFM SDS at 2 years.

Conclusion
Higher PFAS levels in early life are associated with accelerated gains in FM% during the first 6 months of life and with lower FFM SDS at the age of 2 years, which have been associated with an unfavorable body composition and metabolic profile later in life. Our findings warrant further research with longer follow-up times.
Metrological performances of the global chronic morbidity indicator of the Minimum European Health Module and implications for chronic disease prevalence and socioeconomic gradient estimations
Authors: Coste Joël , Robine Jean-Marie , Van Oyen Herman , Carcaillon-Bentata Laure 
Published: March 2024

Abstract

Background
Although the global chronic morbidity indicator (GCMI) of the Minimum European Health Module (MEHM) was not specifically designed to monitor chronic disease in the population, it is increasingly used for this purpose in Europe and elsewhere. However, its metrological characteristics have seldom been examined, with various sensitivity issues being raised. The present study investigated the metrological performances of the GCMI and analyzed its implications in terms of prevalence and demographic and socioeconomic gradients of chronic conditions in the population.

Methods
We used data from two large French nationwide representative surveys with cross-sectional and longitudinal data conducted between 2010 and 2021. The surveys used MEHM and collected data on numerous chronic conditions and socioeconomic indicators. Criterion and predictive validity of the GCMI regarding chronic conditions and the resultant socioeconomic gradients were compared with indicators based on reports of individual chronic conditions.

Results
GCMI sensitivity to capture chronic conditions varied from &lt;20 to 80% depending on the chronic condition. Number of chronic conditions, gender, age and education were also associated with GCMI endorsement. However, the GCMI was predictive of mortality and activity limitations independently of individual conditions.

Conclusion
The varying lack of sensitivity depending on the chronic condition and the respondent’s sociodemographic status may bias estimates of demographic and socioeconomic gradients compared with indicators based on reports of individual chronic conditions. Differences between GCMI and list-based approaches should be more cautiously considered when monitoring chronic conditions in the population. These approaches should be viewed as complementary rather than contradictory or interchangeable.
Analysing 50 yr of the Lacq induced seismicity (Southwestern, France) highlights the role of fluid injection
Authors: Jacquemond L , Letort J , Cotton F , Causse M , Grasso J R , Senechal G , Ammirati J B , Derode B , Grimaud F , Pauchet H , Benhamed S , Sylvander M 
Published: March 2024

SUMMARY
The Lacq area in southwest France has been associated with continuous moderate induced seismic activity since 1969. However, the mechanisms driving this induced seismicity are not fully understood: reservoir depletion has been proposed as the main factor, and more recently wastewater injection has been suggested to play a more important role. The interpretation of these mechanisms relies heavily on the quality of earthquake locations, which we prove to be weak due to a lack of local instrumentation for several years. In order to provide the most complete and reliable induced event catalogue for the studies of the Lacq induced seismicity mechanisms and seismic hazard, we made an exhaustive compilation, analysis and improvement of all available catalogues. We also provided new earthquake detections and relocations in a 3-D velocity model from past and present temporary deployments never used for studying the Lacq area. Important remaining location uncertainties lead us to also carefully sort the events according to their location confidence, defining 3 classes of events (unconstrained location, location constrained within 2–3 km and 1–2 km, respectively). This new harmonized catalogue and the identification of well-constrained events, covering 50 yr of induced seismicity, allow us to propose that wastewater injection is almost certainly the main mechanism driving the seismicity, with (i) most of the constrained events located within the reservoir boundaries and (ii) the released seismic energy variations following variations in injection operations at different scales. In particular, we have also highlighted a change in the injection–seismicity relationship around 2010–2013. From 2013, despite lower injection volumes, seismicity remained persistent and some clusters of earthquakes were detected predominantly in spring, summer and early autumn, except in winter periods. From 2016, we observed a strong temporal relationship between days with higher rate/volume injections (approximately above 400 m3 d−1) and both clustered events and higher magnitude earthquakes (greater than 2.4).