bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implications of Domestication in Theobroma cacao L. Seed-Borne Microbial Endophytes Diversity
Authors: Toloza-Moreno Deisy Lisseth , Yockteng Roxana , Pérez-Zuñiga José Ives , Salinas-Castillo Cristian , Caro-Quintero Alejandro 
Published: August 2024

AbstractThe study of plant–microbe interactions is a rapidly growing research field, with increasing attention to the role of seed-borne microbial endophytes in protecting the plant during its development from abiotic and biotic stresses. Recent evidence suggests that seed microbiota is crucial in establishing the plant microbial community, affecting its composition and structure, and influencing plant physiology and ecology. For Theobroma cacao L., the diversity and composition of vertically transmitted microbes have yet to be addressed in detail. We explored the composition and diversity of seed-borne endophytes in cacao pods of commercial genotypes (ICS95, IMC67), recently liberated genotypes from AGROSAVIA (TCS01, TCS19), and landraces from Tumaco (Colombia) (AC9, ROS1, ROS2), to evaluate microbial vertical transmission and establishment in various tissues during plant development. We observed a higher abundance of Pseudomonas and Pantoea genera in the landraces and AGROSAVIA genotypes, while the commercial genotypes presented a higher number of bacteria species but in low abundance. In addition, all the genotypes and plant tissues showed a high percentage of fungi of the genus Penicillium. These results indicate that domestication in cacao has increased bacterial endophyte diversity but has reduced their abundance. We isolated some of these seed-borne endophytes to evaluate their potential as growth promoters and found that Bacillus, Pantoea, and Pseudomonas strains presented high production of indole acetic acid and ACC deaminase activity. Our results suggest that cacao domestication could lead to the loss of essential bacteria for seedling establishment and development. This study improves our understanding of the relationship and interaction between perennial plants and seed-borne microbiota.
Light chain deposition disease: pathogenesis, clinical characteristics and treatment strategies
Authors: Cassano Cassano Raffaella , Bonadio Angelo Giovanni , Del Giudice Maria Livia , Giannese Domenico , Galimberti Sara , Buda Gabriele 
Published: August 2024

AbstractLight chain deposition disease (LCDD) is a rare hematologic disorder characterized by the deposition of non-amyloid monoclonal light chains in several organs. Together with renal impairment is being the primary morbidity associated with this disease. Due to its rarity, randomized clinical trials lack to explore treatment strategies and there are no approved or universally accepted standard of care treatment options. We aimed to provide a systematic summary of histological and clinical aspects of LCDD and treatment options of available literature therapies strategies. Currently, drugs used to treat multiple myeloma are recommended when LCDD patients also presented multiple myeloma. Anyway, in patients with LCDD that is not associated to multiple myeloma, haematopoietic stem cell transplantation (ASCT) and chemotherapy with thalidomide, dexamethasone, bortezomib are also recommended. In eligible patients, bortezomib-based chemotherapy followed by ASCT appears to be an effective treatment option with durable hematologic remission and organ responses. Although it appears that the patients undergoing ASCT seem to achieve deeper and durable hematologic remissions and organ responses, no statistically significant superiority can be demonstrated over non-transplant or standard chemotherapy-based approaches. As retrieved by our review, bortezomib-based therapy appears to be favorable strategy as long as no dose modification is required for renal impairment, and early hematologic responses as a recovery of renal function. Encouraging data were also demonstrated by treatment lenalidomide or melpalan based. Moreover, new myeloma treatment strategies, as monoclonal antibody Daratumumab, seem to be effective in LCDD. Instead, renal allograft is not recommended, due to high incidence of relapse.
Sino-Nasal Outcome Test-22: translation, cross-cultural adaptation, and validation in Polish-speaking patients
Authors: Morawska Joanna , Jeruzal-Świątecka Joanna , Politański Piotr , Pietruszewska Wioletta 
Published: August 2024

Abstract
Purpose
There are many specific instruments for assessing the quality of life (QoL) in patients with chronic rhinosinusitis. Of all these tests, the Sino-Nasal Outcome Test–22 (SNOT-22) is the most widely used internationally. The purpose of the study was linguistic adaptation and validation of the SNOT-22 scale in the Polish language.

Methods
The SNOT-22 was adapted into Polish and was administered to 148 subjects (108 patients with chronic rhinosinusitis with nasal polyps (CRSwNP) and 40 asymptomatic controls. Seventy-one patients completed the SNOT-22 a second time to evaluate test-retest reliability. The Polish SNOT-22 was assessed for internal consistency, test-retest reliability, discriminant validity, criterion validity, and sensitivity and specificity.

Results
The Polish SNOT-22 exhibited satisfactory psychometric properties. A high Cronbach’s alpha coefficient (α = 0.89) was obtained. Significantly higher scores (p < 0.01) were revealed in the Study Group with a median score of 32 (range 15–53) points in comparison with controls: 5 (range 0–20). A moderate correlation was found between SNOT-22 and the Lund-Kennedy test score (r = 0.334; p < 0.001) and a strong correlation between SNOT-22 and the Lund–Macay test score (r = 0.469; p < 0.001). The best cut-off point was set at a 16 score with a sensitivity of 0.981 and a specificity of 0.995. The determined Area Under Curve (AUC = 0.997; p < 0.001) confirms the diagnostic accuracy of the Polish SNOT-22.

Conclusions
The Polish version of the SNOT-22 is a valid and reliable tool for measuring health-related quality of life in patients with CRSwNP in the Polish-speaking population.
Depression and anxiety in transgender and non-binary adolescents: prevalence and associations between adolescent and caregiver reports
Authors: Liles Sophia M. , Olsavsky Anna L. , Chen Diane , Grannis Connor , Hoskinson Kristen R. , Leibowitz Scott F. , Nelson Eric E. , Stanek Charis J. , Strang John F. , Nahata Leena 
Published: August 2024

AbstractTransgender/non-binary (TNB) adolescents are at increased risk for mental health concerns, and caregiver awareness is important to facilitate access to care. Yet, limited research has examined caregiver awareness of TNB mental health. Thus, we examined (1) the prevalence of internalizing symptoms (depression, generalized anxiety, separation anxiety, social anxiety) among TNB adolescents and (2) associations between adolescent and caregiver reports of adolescent mental health symptoms. TNB adolescents (N = 75) aged 12–18 and a caregiver were recruited from a multidisciplinary gender clinic in Ohio. Adolescents self-reported their mental health symptoms via the CDI and SCARED. Caregivers reported their perceptions of the adolescent’s mental health symptoms via the CASI-5. Descriptive statistics assessed participant characteristics, adolescent self-reported mental health symptoms, and caregiver proxy reports of adolescent mental health symptoms. Pearson’s correlations and scatterplots were used to compare adolescent and caregiver reports and McNemar tests assessed if the differences were statistically significant. Most TNB adolescents reported elevated symptoms of depression (59%), generalized anxiety (75%), separation anxiety (52%), and social anxiety (78%). Caregiver and adolescent reports were significantly correlated for depression (r = .36, p = .002), separation anxiety (r = .39, p < .001), and social anxiety (r = .47, p < .001). Caregiver and adolescent reports of generalized anxiety were not significantly correlated (r = .21, p = .08). McNemar tests were significant (all p < .001), such that adolescents’ reports met clinical cutoffs far more than their caregivers’ reports.
Conclusions: Though adolescent and caregiver reports were low to moderately correlated, youth reports were consistently higher, suggesting the importance of interventions to increase caregiver understanding of TNB adolescent mental health.

What is Known:• Transgender/non-binary adolescents are at high risk for mental health concerns and caregivers are essential to coordinate care.

What is New:• This study expands the diagnostic mental health sub-categories examined in transgender/non-binary adolescents, noting elevated symptoms of separation and social anxiety.• Transgender/non-binary adolescents reported more symptoms of depression, generalized anxiety, separation anxiety, and social anxiety than caregivers.
Dementia diagnosis in young adults: a machine learning and optimization approach
Authors: Talaat Fatma M. , Ibraheem Mai Ramadan 
Published: August 2024

AbstractIndividuals who are younger and have dementia often start experiencing its symptoms before they turn 65, with cases even documented in people as young as their thirties. Researchers strive for accurate dementia diagnosis to slow or halt its progression. This paper presents a novel Enhanced Dementia Detection and Classification Model (EDCM) comprised of four modules: data acquisition, preprocessing, hyperparameter optimization, and feature extraction/classification. Notably, the model uses texture information from segmented brain images for improved feature extraction, leading to significant gains in both binary and multi-class classification. This is achieved by selecting optimal features via a Gray Wolf Optimization (GWO)-driven enhancement model. Results demonstrate substantial accuracy improvements after optimization. For instance, using an Extra Tree Classifier for "normal" cases, the model achieves 85% accuracy before optimization. However, with GWO-optimized features and hyperparameters, the accuracy jumps to 97%.
Nonlinear steering control law under input magnitude and rate constraints with exponential convergence
Authors: Suyama Rin , Satoh Satoshi , Maki Atsuo 
Published: August 2024

AbstractA ship steering control law is designed for a nonlinear maneuvering model whose rudder manipulation is constrained in both magnitude and rate. In our method, the tracking problem of the target heading angle with input constraints is converted into the tracking problem for a strict-feedback system without any input constraints. To derive this system, hyperbolic tangent ($$\tanh$$
tanh
) function and auxiliary variables are introduced to deal with the input constraints. Furthermore, using the feature of the derivative of $$\tanh$$
tanh
function, auxiliary systems are successfully derived in the strict-feedback form. The backstepping method is utilized to construct the control input for the resulting cascade system. The proposed steering control law is verified in numerical experiments, and the result shows that the tracking of the target heading angle is successful using the proposed control law.
Rethinking feminized service bots: user responses to abstract and gender-ambiguous chatbot avatars in a large-scale interaction study
Authors: Aumüller Anna , Winklbauer Andreas , Schreibmaier Beatrice , Batinic Bernad , Mara Martina 
Published: August 2024

AbstractCompanies increasingly rely on chatbots to enable efficient and engaging communication with customers. Previous research has highlighted a trend towards female-gendered designs of customer service chatbots, adding to concerns about the reinforcement of outdated gender stereotypes in human-computer interactions. Against this background, the present study explores design alternatives to traditionally gendered chatbot avatars. In an online experiment, N = 1064 participants interacted with a bank service chatbot, where one half saw a gender-ambiguous anthropomorphic face as the chatbot’s default avatar, and the other half an abstract non-anthropomorphic icon. Contrary to earlier studies, which linked anthropomorphism to higher user acceptance, our manipulation of avatars did not significantly alter intentions to use the chatbot. After the interaction, participants could select their preferred avatar image from a set of six, including non-anthropomorphic icons (speech bubbles) and anthropomorphic faces (female, male, gender-ambiguous). While many adhered to their initially viewed image, a clear majority opted for abstract non-anthropomorphic icons. This overall preference was consistent across all user genders, although men were more likely than women to favor a traditionally female-looking avatar. Notably, less than a quarter of participants recognized the gender-ambiguous avatar as such. In accordance with traditional gender binaries, most identified it as either male or female. Those who perceived it as female reported higher intentions to use the chatbot. As a practical implication, our findings advocate for the adoption of more abstract and gender-neutral chatbot designs, as they not only help to avoid problematic stereotypes but also seem to align with customer preferences for non-gendered chatbot interactions.
Application of deep learning reduced-order modeling for single-phase flow in faulted porous media
Authors: Ballini Enrico , Formaggia Luca , Fumagalli Alessio , Scotti Anna , Zunino Paolo 
Published: August 2024

AbstractOur research is positioned within the framework of subsurface resource utilization for sustainable economies. We concentrate on modeling the underground single-phase fluid flow affected by geological faults using numerical simulations. The study of such flows is characterized by strong uncertainites in the data defing the problem due to the difficulty of taking precise measurements in the subsoil. We aim to demonstrate the feasibility of a reduced order model that is both reliable and computationally efficient, thereby facilitating the incorporation of uncertainties. We account for the uncertainities of the properties of the rock and the geometry of the fault. The latter is achieved by using a radial basis function mesh deformation method. This approach benefits from a mixed-dimensional framework to model the rock matrix and faults as n and $${n-1}$$

n
-
1

dimensional domains, allowing for non-conforming meshes. Our primary focus is on a reduced-order model capable of reproducing flow variables across the entire domain. We utilize the Deep Learning Reduced Order Model (DL-ROM), a nonintrusive neural network-based technique, and we compare it against the traditional Proper Orthogonal Decomposition (POD) method across various scenarios. The most relevant contributions of this work are: the proof of concept of the use of neural network for reduced order models for subsoil flow, dealing with non-affine problems and mixed dimensional domain. Additionally, we generalize an existing mesh deformation method for discontinuous deformation maps. Our analysis highlights the capability of reduced order model, highlighting DL-ROM’s capacity to expedite complex analyses with promising accuracy and efficiency, making multi-query analyses with various quantities of interest affordable.
zk-Oracle: trusted off-chain compute and storage for decentralized applications
Authors: Gu Binbin , Nawab Faisal 
Published: August 2024

AbstractBlockchain and Decentralized Applications (DApps) are increasingly important for creating trust and transparency in data storage and computation. However, on-chain transactions are often costly and slow. To overcome this challenge, off-chain nodes can be used to store and compute data. Unfortunately, this introduces the risk of untrusted nodes. To address this, authenticated data structures have been proposed, however, this ignores the compute of data from the raw data. We tackle this challenge by introducing zk-Oracle, which provides an efficient and trusted compute and storage off-chain. There is a challenge in using zero-knowledge proofs (zk-proof for short), which is the large proof generation time. We aim to overcome it with novel designs in zk-Oracle. zk-Oracle builds on zk-proofs technologies to achieve two goals. First, the computation of data structures from raw data and the corresponding proof generation is improved in terms of performance. Second, the verification on-chain is inexpensive and fast. Our experiments show that we can speed up zk-proof generation by up to $$550 \times $$

550
×

faster than the baseline method.
Reassessing Bronze Age Metallurgy in Upland Southwest China on the Basis of Excavations at Longbohe, Yunnan
Authors: Jie Fu , Yingfu Li , Changcheng Hu , Yang Wan , Fan Yang , Yunsheng Zhu , Pigott Vincent C. , Higham Charles , Yuniu Li 
Published: August 2024

AbstractLongbohe is a newly discovered copper mining, smelting and production site located strategically beside the Red River on the China–Vietnam border in Southeast Yunnan, China. Recent excavations have dated it from the second half of the second millennium to the end of the first millennium BC, making it the earliest copper mining and processing site in Upland Southwest China and Southeast Asia. The metallurgical production tradition in Upland Southwest China and Southeast Asia is recognized and detailed with reference to the chaîne opératoire revealed at the Longbohe site. The location of Longbohe provides evidence for a route along which metallurgy was introduced from Southwest China into Southeast Asia. Current evidence further suggests that metallurgy probably arrived on the Yunnan–Guizhou Plateau along the eastern Qinghai–Tibet Plateau corridors, and then entered Southeast Asia along south-flowing rivers. The Longbohe site is thus a most significant find in the southward dissemination of metallurgical technological systems into Southwest China and Southeast Asia in the later second millennium BC.
Persistence conditions: what they are, and what it is to have them
Authors: Franken Dirk 
Published: August 2024

AbstractIt is common among metaphysicians to talk about objects having persistence conditions or, equivalently, about the persistence conditions of objects. However, as frequent as these statements are, as rare are the attempts to clarify their meaning in a systematic manner. In the present paper, I try to provide such an explanation by considering in detail the question of what it is for an object to have persistence conditions. The central results are the following. First: that an object has (in contrast to merely fulfil) certain conditions of Fness means that it lies in the essence of this object that these conditions hold—that is, that it is part of this object’s essence that it is F, if it is F, in virtue of the fulfilment of these very conditions. Second: persistence is the staying in existence of an already existing object, which is why an object’s persistence conditions are just that: conditions of the staying in existence of this very object. On the emerging view, the persistence conditions of objects exhibit an interesting parallel to the conditions of satisfaction of intentional states or entities. As the latter, they are imposed upon the world by entities existing in the world, viz. objects.
A Mathematical Model of Diel Activity and Long Time Survival in Phototrophic Mixed-Species Subaerial Biofilms
Authors: Tenore A. , Russo F. , Jacob J. , Grattepanche J. D. , Buttaro B. , Klapper I. 
Published: August 2024

AbstractSubaerial biofilms (SAB) are intricate microbial communities living on terrestrial surfaces, of interest in a variety of contexts including cultural heritage preservation, microbial ecology, biogeochemical cycling, and biotechnology. Here we propose a mathematical model aimed at better understanding the interplay between cyanobacteria and heterotrophic bacteria, common microbial SAB constituents, and their mutual dependence on local environmental conditions. SABs are modeled as thin mixed biofilm-liquid water layers sitting on stone. A system of ordinary differential equations regulates the dynamics of key SAB components: cyanobacteria, heterotrophs, polysaccharides and decayed biomass, as well as cellular levels of organic carbon, nitrogen and energy. These components are interconnected through a network of energetically dominant metabolic pathways, modeled with limitation terms reflecting the impact of biotic and abiotic factors. Daily cylces of temperature, humidity, and light intensity are considered as input model variables that regulate microbial activity by influencing water availability and metabolic kinetics. Relevant physico-chemical processes, including pH regulation, further contribute to a description of the SAB ecology. Numerical simulations explore the dynamics of SABs in a real-world context, revealing distinct daily activity periods shaped by water activity and light availability, as well as longer time scale survivability conditions. Results also suggest that heterotrophs could play a substantial role in decomposing non-volatile carbon compounds and regulating pH, thus influencing the overall composition and stability of the biofilm.
Identifying behavior change interventions with deep leverage: a conceptual and qualitative case study with farmers from Germany
Authors: Baaken Marieke Cornelia , Vollan Björn 
Published: August 2024

AbstractSuccessful transformation of agriculture toward a more sustainable trajectory requires agri-environmental practices and interventions that are deemed supportive by farmers, have the potential for a transformative change and are based on a solid understanding of farmers’ behavior and decision-making. This article reports on in-depth semi-structured interviews with German farmers to uncover key facilitators of and barriers to the adoption of agri-environmental practices. In a first step, 10 themes were identified using a qualitative content analysis, which were then assessed for their potential leverage point from a system perspective and integrated into the diagnostic Behavior Change Wheel to identify targets for behavioral interventions. The paper shows that adding the transformative potential to behavioral interventions is useful. According to our analyses, deep leverage interventions are most likely to be associated with the theme Land stewardship and Identity, and the COM-B model (Capability, Opportunity, Motivation, Behavior)—element Reflective motivation, referring to the conscious cognitive processes that direct and inspire behavior.