bluuebunny/crossref_metadata_2025_split huggingface dataset:
Di-Alkyl Adipates as New Phase Change Material for Low Temperature Energy Storage
Authors: Sequeira Maria C. M. , Nogueira Bernardo A. , Caetano Fernando J. P. , Diogo Hermínio P. , Fareleira João M. N. A. , Fausto Rui 
Published: November 2023

AbstractThis work is a contribution to the thermal characterization of a selected binary system of two di-n-alkyl adipates that can be used as phase change material for thermal energy storage at low temperatures. The construction of the solid–liquid phase diagram using differential scanning calorimetry (DSC), complemented with Raman Spectroscopy studies for the system composed by diethyl and dibutyl adipates is presented. The solidus and liquidus equilibrium temperatures were determined by DSC for the pure components and 30 binary mixtures at selected molar compositions were used to construct the corresponding solid–liquid phase diagram. The binary system of diethyl and dibutyl adipates presents eutectic behaviour at low temperatures. The eutectic temperature was found at 240.46 K, and the eutectic composition was determined to occur at the molar fraction xdibutyl = 0.46. Additionally, the system shows a polymorphic transition, characteristic of dibutyl adipate, occurring at ca. 238 K, confirmed by optical microscopy. To the best of our knowledge, no reference to the phase diagram of the present system could be found in the literature. Raman spectroscopy was essential to complement the construction of the phase equilibrium diagram, enabling the identification of the solid and liquid phases of the system. Finally, the liquidus curve of the phase diagram was also successfully predicted using a suitable fitting equation, being the root mean square deviation of the data from the correlation equal to 0.54 K. In addition, this fitting operation enabled a correct prediction of the eutectic composition of the system.
Ancient, veteran and other listed trees as nest sites for wild-living honey bee, Apis mellifera, colonies
Authors: Visick Oliver D. , Ratnieks Francis L. W. 
Published: November 2023

AbstractWild-living honey bee (Apis mellifera) colonies naturally nest in old cavity-bearing trees throughout their range, but this important nesting habitat is in global decline. Here we determine the use of ancient, veteran and other listed trees as nest sites by wild-living honey bee colonies in Britain and investigate the effect of tree size, genus and management on occupancy. Over 1,000 trees of special interest (TSIs) were surveyed in southeast England using the Ancient Tree Inventory (ATI) of the Woodland Trust, a charity that protects and promotes trees in Britain. 2% of all TSIs and 4.4% of TSIs with cavities were occupied by wild-living honey bee colonies (n = 21). Occupancy positively correlated with tree diameter, which is surprising given that the overall sample already had a large mean diameter of 1.3 m. Wild-living colonies occupied sweet chestnut (Castanea sativa) more frequently than expected (7% versus 2% overall), probably due to their large mean diameter (1.6 m) and proportion of trees with cavities (73%). Heights of occupied tree cavities (including non-ATI trees) ranged from 0 to 18.2 m with a median of 6.8 m, entrance size ranged from 2.2 to 322 cm2 with a median of 33.8 cm2 and entrance orientation was not significantly different from random.
A Modified Total Energy Control Scheme for Unmanned Aircraft
Authors: Bauer Peter 
Published: November 2023

AbstractThe paper focuses on safety and simplicity of unmanned aircraft longitudinal control and proposes a new combination of total energy control (TECS) and conventional control. The introduced new modified total energy control (TECSMOD) method applies IAS priority all the time. IAS is controlled through the elevator while the total energy of the system and so the altitude is maintained with throttle. Neither engine fault or stall detection nor switching logic is required while stall is prevented keeping the solution simple and safe. To prove the viability of the new concept it is compared to a conventional multiple zone PI controller and the TECS solution in simulation and real flight tests. First, the six degrees of freedom simulation model of the Sindy test UAV (developed and built in Institute for Computer Science and Control, HUN-REN, Hungary) is verified comparing its inputs and outputs to flight results. Then a simulation campaign is done for all three controllers with special test cases which can be critical according to the literature. Finally, real flight test comparison is done considering IAS and altitude tracking and engine fault handling. The new method was the best in IAS tracking with acceptable results in altitude tracking and successful stall prevention upon engine fault (without any fault detection or switching). Future improvements can be fine tuning for improved altitude tracking with the price of decreased IAS tracking performance and the introduction of a glideslope tracking mode for landing scenarios.
For I Do Not Know How to Act: Tadeusz Kantor and the Reality of Theatre
Authors: Zartaloudis Thanos 
Published: November 2023

AbstractThis paper presents a discussion, in honour of the late Ari Hirvonen, of the reality of theatre, the space of the tragic and the ethical condition. It engages critically with Hirvonen’s work, as he would demand it, and in doing so it considers the distinctive thinking about theatrical reality in the work of the great Polish artist and theatre director Tadeusz Kantor.
Non-industrial Private Forest Owners’ Knowledge and Forest Management Preferences Regarding Forest Damage in Northern Sweden
Authors: Kronholm Thomas 
Published: November 2023

AbstractIn northern Sweden, large forest areas are affected by extensive damage caused by moose, fungi, beetle and other biological pests. For non-industrial private forest (NIPF) owners this leads to large losses of value, not only in economic terms but also in the form of loss of biodiversity and amenity values. Therefore, several research projects are underway to develop new silvicultural methods and other measures to reduce damage. However, a successful implementation of these will often depend on the willingness and knowledge of the forest owners. The objective of this study was, therefore, to elucidate NIPF owners’ knowledge about forest damage and their preferences regarding forest management alternatives that potentially could mitigate the damage situation. Data were collected through a questionnaire that was distributed to a random sample of 1,177 NIPF owners in northern Sweden, and the response rate was 31% (n = 368). The results show that 19% of the NIPF owners did not know the current damage situation in their own forest. In addition, NIPF owners judged that their knowledge to identify damage themselves is quite limited, except for damage caused by moose. Regarding future management options, many were positive towards avoiding clear-cuts in suitable areas, while many were negative towards implementing alternative tree species such as larch and lodgepole pine. The study concludes that there is a clear need to inform and educate NIPF owners about forest damage, but also that there will be challenges in reaching all types of owners.
Information provision measures for voice agent product recommendations— The effect of process explanations and process visualizations on fairness perceptions
Authors: Weith Helena , Matt Christian 
Published: November 2023

AbstractWhile voice agent product recommendations (VAPR) can be convenient for users, their underlying artificial intelligence (AI) components are subject to recommendation engine opacities and audio-based constraints, which limit users’ information level when conducting purchase decisions. As a result, users might feel as if they are being treated unfairly, which can lead to negative consequences for retailers. Drawing from the information processing and stimulus-organism-response theory, we investigate through two experimental between-subjects studies how process explanations and process visualizations—as additional information provision measures—affect users’ perceived fairness and behavioral responses to VAPRs. We find that process explanations have a positive effect on fairness perceptions, whereas process visualizations do not. Process explanations based on users’ profiles and their purchase behavior show the strongest effects in improving fairness perceptions. We contribute to the literature on fair and explainable AI by extending the rather algorithm-centered perspectives by considering audio-based VAPR constraints and directly linking them to users’ perceptions and responses. We inform practitioners how they can use information provision measures to avoid unjustified perceptions of unfairness and adverse behavioral responses.
Seeking empathy or suggesting a solution? Effects of chatbot messages on service failure recovery
Authors: Haupt Martin , Rozumowski Anna , Freidank Jan , Haas Alexander 
Published: November 2023

AbstractChatbots as prominent form of conversational agents are increasingly implemented as a user interface for digital customer-firm interactions on digital platforms and electronic markets, but they often fail to deliver suitable responses to user requests. In turn, individuals are left dissatisfied and turn away from chatbots, which harms successful chatbot implementation and ultimately firm’s service performance. Based on the stereotype content model, this paper explores the impact of two universally usable failure recovery messages as a strategy to preserve users’ post-recovery satisfaction and chatbot re-use intentions. Results of three experiments show that chatbot recovery messages have a positive effect on recovery responses, mediated by different elicited social cognitions. In particular, a solution-oriented message elicits stronger competence evaluations, whereas an empathy-seeking message leads to stronger warmth evaluations. The preference for one of these message types over the other depends on failure attribution and failure frequency. This study provides meaningful insights for chatbot technology developers and marketers seeking to understand and improve customer experience with digital conversational agents in a cost-effective way.
Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies
Authors: Fazzari Edoardo , Carrara Fabio , Falchi Fabrizio , Stefanini Cesare , Romano Donato 
Published: November 2023

AbstractOrthoptera are insects with excellent olfactory sense abilities due to their antennae richly equipped with receptors. This makes them interesting model organisms to be used as biosensors for environmental and agricultural monitoring. Herein, we investigated if the house cricket Acheta domesticus can be used to detect different chemical cues by examining the movements of their antennae and attempting to identify specific antennal displays associated to different chemical cues exposed (e.g., sucrose or ammonia powder). A neural network based on state-of-the-art techniques (i.e., SLEAP) for pose estimation was built to identify the proximal and distal ends of the antennae. The network was optimised via grid search, resulting in a mean Average Precision (mAP) of 83.74%. To classify the stimulus type, another network was employed to take in a series of keypoint sequences, and output the stimulus classification. To find the best one-dimensional convolutional and recurrent neural networks, a genetic algorithm-based optimisation method was used. These networks were validated with iterated K-fold validation, obtaining an average accuracy of 45.33% for the former and 44% for the latter. Notably, we published and introduced the first dataset on cricket recordings that relate this animal’s behaviour to chemical stimuli. Overall, this study proposes a novel and simple automated method that can be extended to other animals for the creation of Biohybrid Intelligent Sensing Systems (e.g., automated video-analysis of an organism’s behaviour) to be exploited in various ecological scenarios.
The surgical treatment of Morgagni hernias in adults: a systematic review for the standardization of laparoscopic surgical repair
Authors: Schembari Elena , Reitano Elisa , Sofia Maria , Latteri Saverio , La Greca Gaetano 
Published: November 2023

AbstractA Morgagni hernia is a congenital diaphragmatic hernia that is rarely diagnosed in adults, and the technique for its repair has not yet been standardized. This review will give an overview of the different laparoscopic methods reported by other authors, highlighting the key points indicating a good repair to help standardize the technique. A systematic review of the available articles on PubMed was conducted according to PRISMA 2020 by two authors independently in May 2022. Only articles written in English were included. A total of 180 case reports of laparoscopic Morgagni’s hernia repair procedures were found; direct repair was performed in 59 patients, mesh was used in 119 patients, and mesh was not used in 2 patients. The hernia sac was removed in 71 patients, and the defect was closed before mesh placement in 49 patients. Nonabsorbable, dual or biologic mesh was used. The mean operative time was 92.65 min for direct repair and 84.11 min for mesh repair. One recurrence was reported in the direct repair series. The optimal method of repair has not yet been identified. The laparoscopic approach is associated to fewer complications and facilitates a faster recovery than the open approach. Several manoeuvres have been reported to help surgeons, who are not trained in laparoscopic knotting, perform extracorporeal knotting. Mesh should be placed when tension is too high after a direct repair or when primary closure cannot be achieved.
Semiaffine stable planes
Authors: Löwen Rainer , Stroppel Markus J. 
Published: November 2023

AbstractA locally compact stable plane of positive topological dimension will be called semiaffine if for every line L and every point p not in L there is at most one line passing through p and disjoint from L. We show that then the plane is either an affine or projective plane or a punctured projective plane (i.e., a projective plane with one point deleted). We also compare this with the situation in general linear spaces (without topology), where P. Dembowski showed that the analogue of our main result is true for finite spaces but fails in general.
Minimalist Training: Is Lower Dosage or Intensity Resistance Training Effective to Improve Physical Fitness? A Narrative Review
Authors: Behm David G. , Granacher Urs , Warneke Konstantin , Aragão-Santos Jose Carlos , Da Silva-Grigoletto Marzo Edir , Konrad Andreas 
Published: November 2023

Abstract
Background
Findings from original research, systematic reviews, and meta-analyses have demonstrated the effectiveness of resistance training (RT) on markers of performance and health. However, the literature is inconsistent with regards to the dosage effects (frequency, intensity, time, type) of RT to maximize training-induced improvements. This is most likely due to moderating factors such as age, sex, and training status. Moreover, individuals with limited time to exercise or who lack motivation to perform RT are interested in the least amount of RT to improve physical fitness.

Objectives
The objective of this review was to investigate and identify lower than typically recommended RT dosages (i.e., shorter durations, lower volumes, and intensity activities) that can improve fitness components such as muscle strength and endurance for sedentary individuals or beginners not meeting the minimal recommendation of exercise.

Methods
Due to the broad research question involving different RT types, cohorts, and outcome measures (i.e., high heterogeneity), a narrative review was selected instead of a systematic meta-analysis approach.

Results
It seems that one weekly RT session is sufficient to induce strength gains in RT beginners with < 3 sets and loads below 50% of one-repetition maximum (1RM). With regards to the number of repetitions, the literature is controversial and some authors report that repetition to failure is key to achieve optimal adaptations, while other authors report similar adaptations with fewer repetitions. Additionally, higher intensity or heavier loads tend to provide superior results. With regards to the RT type, multi-joint exercises induce similar or even larger effects than single-joint exercises.

Conclusion
The least amount of RT that can be performed to improve physical fitness for beginners for at least the first 12 weeks is one weekly session at intensities below 50% 1RM, with < 3 sets per multi-joint exercise.
Observation of Blue Corona Discharges and Cloud Microphysics in the Top of Thunderstorm Cells in Cyclone Fani
Authors: Li Dongshuai , Neubert Torsten , Husbjerg Lasse Skaaning , Zhu Yanan , Chanrion Olivier , Lapierre Jeff , Luque Alejandro , Köhn Christoph , Heumesser Matthias , Dimitriadou Krystallia , Stendel Martin , Kaas Eigil , Olesen Emilie Petrea Petajamaa Wiinberg , Liu Feifan , Østgaard Nikolai , Reglero Víctor 
Published: November 2023

AbstractBlue corona discharges are often observed at the top of thunderclouds. They are bursts of streamers, but the cloud conditions that enable them are not well known. Here we present observations by the Atmosphere‐Space Interactions Monitor (ASIM) of 92 discharges during its ∼1 min pass over tropical cyclone Fani in the Bay of Bengal from 20:10:55 to 20:12:05 UTC on 30 April 2019. The discharges were observed in convective cells forming in the rainbands of the cyclone where Convective Available Potential Energy reached ∼6,000 J kg−1. The Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation satellite passed over one of the cells ∼12 min after ASIM from 20:23:58 to 20:24:14 UTC. It measured the cloud microphysics related to the discharges and indicated they occurred in a convection region with the cloud top overshooting for over 20 min. The updraft lifted ice particles to lower stratospheric altitudes and formed the gullwing‐shaped cirrus. The discharges are found at an average altitude of ∼16 km where the cloud environment contained ∼2 × 107 m−3 ice particles with ∼50 µm radius, resulting in a photon mean free path of ∼3 m. Around 20% of the blue corona discharges coincide with Narrow Bipolar Events indentified from the Earth Networks Total Lightning Network. Our observations suggest that the overshooting cloud top formed by deep convection and a surge in lightning activity facilitated conditions for the blue corona discharges. This work provides the first‐ever estimate of important microphysical parameters related to blue corona discharges based on data measurements, establishing a reference for future empirical and theoretical studies.
Single‐Scattering Properties of Encapsulated Fractal Black Carbon Particles Computed Using the Invariant Imbedding T‐Matrix Method and Deep Learning Approaches
Authors: Wang Xuan , Bi Lei , Han Wei , Zhang Xiaoye 
Published: November 2023

AbstractEfficient and accurate computation of the single‐scattering properties of black carbon (BC) aerosols is fundamental in various fields, including remote sensing and climate simulations. In this study, we developed a composite model of fractal aggregates of BC encapsulated with hygroscopic aerosols to represent the ambient BC. We used the invariant imbedding T‐matrix method to compute the optical properties of fully and partially encapsulated BC aerosols. In this new model, the traditional assumption of unoverlapped surfaces in the super‐position T‐matrix method is unnecessary. After extensive simulations, we established a database of single‐scattering properties, including the extinction efficiency, the single‐scattering albedo, the asymmetry factor and six phase matrix elements. Moreover, we obtained deep neural networks (DNNs) from this database using a deep learning method. These DNN models provide a universal interface for predicting the optical properties of ambient BC aerosols. Specifically, through a modified architecture of the DNN, we trained two models based on the database to predict three integrated optical properties (extinction efficiency, single‐scattering albedo, and asymmetry factor) and six phase matrix elements. We performed statistical assessments based on the true values in the database and the predicted values from the DNNs, demonstrating that the DNNs accurately predicted all single‐scattering properties. Therefore, the developed DNN models can be conveniently implemented in aerosol optical parameterization for remote sensing studies and atmospheric models.
A TRIM21-based bioPROTAC highlights the therapeutic benefit of HuR degradation
Authors: Fletcher Alice , Clift Dean , de Vries Emma , Martinez Cuesta Sergio , Malcolm Timothy , Meghini Francesco , Chaerkady Raghothama , Wang Junmin , Chiang Abby , Weng Shao Huan Samuel , Tart Jonathan , Wong Edmond , Donohoe Gerard , Rawlins Philip , Gordon Euan , Taylor Jonathan D. , James Leo , Hunt James 
Published: November 2023

AbstractHuman antigen R (HuR) is a ubiquitously expressed RNA-binding protein, which functions as an RNA regulator. Overexpression of HuR correlates with high grade tumours and poor patient prognosis, implicating it as an attractive therapeutic target. However, an effective small molecule antagonist to HuR for clinical use remains elusive. Here, a single domain antibody (VHH) that binds HuR with low nanomolar affinity was identified and shown to inhibit HuR binding to RNA. This VHH was used to engineer a TRIM21-based biological PROTAC (bioPROTAC) that could degrade endogenous HuR. Significantly, HuR degradation reverses the tumour-promoting properties of cancer cells in vivo by altering the HuR-regulated proteome, highlighting the benefit of HuR degradation and paving the way for the development of HuR-degrading therapeutics. These observations have broader implications for degrading intractable therapeutic targets, with bioPROTACs presenting a unique opportunity to explore targeted-protein degradation through a modular approach.
Metabolic dependencies of metastasis-initiating cells in female breast cancer
Authors: Young C. Megan , Beziaud Laurent , Dessen Pierre , Madurga Alonso Angela , Santamaria-Martínez Albert , Huelsken Joerg 
Published: November 2023

AbstractUnderstanding the mechanisms that enable cancer cells to metastasize is essential in preventing cancer progression. Here we examine the metabolic adaptations of metastasis-initiating cells (MICs) in female breast cancer and how those shape their metastatic phenotype. We find that endogenous MICs depend on the oxidative tricarboxylic acid cycle and fatty acid usage. Sorting tumor cells based upon solely mitochondrial membrane potential or lipid storage is sufficient at identifying MICs. We further identify that mitochondrially-generated citrate is exported to the cytoplasm to yield acetyl-CoA, and this is crucial to maintaining heightened levels of H3K27ac in MICs. Blocking acetyl-CoA generating pathways or H3K27ac-specific epigenetic writers and readers reduces expression of epithelial-to-mesenchymal related genes, MIC frequency, and metastatic potential. Exogenous supplementation of a short chain carboxylic acid, acetate, increases MIC frequency and metastasis. In patient cohorts, we observe that higher expression of oxidative phosphorylation related genes is associated with reduced distant relapse-free survival. These data demonstrate that MICs specifically and precisely alter their metabolism to efficiently colonize distant organs.