bluuebunny/crossref_metadata_2025 huggingface dataset:
Implications of Ramsey Choice principles in ZF$\mathsf {ZF}$
Authors: Halbeisen Lorenz , Plati Riccardo , Shelah Saharon
Published: July 2024

The Ramsey Choice principle for families of ‐element sets, denoted , states that every infinite set has an infinite subset with a choice function on . We investigate for which positive integers and the implication is provable in . It will turn out that beside the trivial implications , under the assumption that every odd integer is the sum of three primes (known as ternary Goldbach conjecture), the only non‐trivial implication which is provable in is .
Hilbert's tenth problem for lacunary entire functions of finite order
Authors: Garcia‐Fritz Natalia , Pasten Hector
Published: July 2024

In the context of Hilbert's tenth problem, an outstanding open case is that of complex entire functions in one variable. A negative solution is known for polynomials (by Denef) and for exponential polynomials of finite order (by Chompitaki, Garcia‐Fritz, Pasten, Pheidas, and Vidaux), but no other case is known for rings of complex entire functions in one variable. We prove a negative solution to the analogue of Hilbert's tenth problem for rings of complex entire functions of finite order having lacunary power series expansion at the origin.
Liposome‐based in situ antigen‐modification strategy for “universal” T‐cell‐receptor engineered T cell in cancer immunotherapy
Authors: Wang Qin , Peng Rui , Qi Haoyue , Xu Ruihan , Liu Wanmin , Meng Fanyan , Du Shiyao , Yu Lixia , Wei Jia , Liu Fangcen , Li Rutian
Published: July 2024

T‐cell receptor (TCR) engineered T‐cell therapy, unlike chimeric antigen receptor T‐cell therapy, relies on the inherent ability of TCRs to detect a wider variety of antigenic epitopes, such as protein fragments found internally or externally on cells. Hence, TCR‐T‐cell therapy offers broader possibilities for treating solid tumors. However, because of the complicated process of identifying specific antigenic peptides, their clinical application still encounters significant challenges. Thus, we aimed to establish a novel “universal” TCR‐T “artificial antigen expression” technique that involves the delivery of the antigen to tumor cells using DSPE‐PEG‐NY‐ESO‐1157‐165 liposomes (NY‐ESO‐1 Lips) to express TCR‐T‐cell‐specific recognition targets. In vitro as well as in vivo studies revealed that they could accumulate efficiently in the tumor area and deliver target antigens to activate the tumor‐specific cytotoxic T‐cell immune response. NY‐ESO‐1 TCR‐T therapy, when used in combination, dramatically curbed tumor progression and extended the longevity of mice. Additionally, PD‐1 blockage enhanced the therapeutic effect of the aforementioned therapy. In conclusion, NY‐ESO‐1 Lips “cursed” tumor cells by enabling antigenic target expression on their surface. This innovative technique presents a groundbreaking approach for the widespread utilization of TCR‐T in solid tumor treatment.
Deep neural network‐based infinitesimal dipole modeling using either near or far electric‐field
Authors: Park Jae‐Yoon , Kim Yong‐Hwa , Cho Chihyun , Choo Jaeyul
Published: July 2024

This paper presents the deep neural network‐based infinitesimal dipole model using either near‐ or far‐field radiation patterns. Based on the radiating characteristic of an infinitesimal dipole, we generated a data set including near and far field radiation patterns corresponding to the phases of infinitesimal dipoles. We used the data set to train and validate the deep neural network (DNN) model. After checking the statistic of the fit function and the average error in expecting the phases of the infinite dipoles, we conclude that the proposed infinitesimal dipole modeling using DNN is sufficient to predict the characteristics of electromagnetic radiation.
When to feed after percutaneous endoscopic gastrostomy: A systematic review and meta‐analysis of randomized controlled trials
Authors: Bechtold Matthew L. , Tarar Zahid Ijaz , Yousaf Muhammad N. , Moafa Ghady , Majzoub Abdul M. , Deda Xheni , Matteson‐Kome Michelle L. , Puli Srinivas R.
Published: July 2024

Background

Initiation of feeding after percutaneous endoscopic gastrostomy (PEG) placement has been debated. Randomized controlled trials (RCTs) have been performed on early feeding compared with delayed feeding after PEG placement with varying results. Therefore, a meta‐analysis was conducted examining early vs delayed feeding after placement of a PEG.

Methods

A comprehensive search of databases was conducted in January 2024. Peer‐reviewed published RCTs comparing early feeding (≤4 h) with delayed feeding (>4 h) were identified and included in the meta‐analysis. Meta‐analysis was completed using pooled estimates of overall complications, individual complications, mortality ≤72 h, and number of day 1 significant gastric residual volumes.

Results

Six RCTs (n = 467) were included in the analysis. Comparison of early feeding with delayed feeding after PEG showed no statistically significant differences for overall complications (P = 0.18), mortality ≤72 h (P = 0.3), and number of day 1 significant gastric residual volumes (P = 0.05). No differences were also noted for individual complications, including vomiting, wound infection, bleeding, or diarrhea.

Conclusion

Feeding ≤4 h after PEG have no differences in minor and major complications compared with that of delayed feeding. Early feeding ≤4 h is safe and should be recommended in future guidelines.
Vestibular Rehabilitation Using Dynamic Posturography: Objective and Patient‐Reported Outcomes from a Randomized Trial
Authors: David Eytan A. , Shahnaz Navid
Published: July 2024

Objective

Balance deficits are common and debilitating. Standard treatments have limitations in addressing symptoms and restoring dynamic balance function. This study compares a rehabilitative computerized dynamic posturography (CDP) protocol, computerized vestibular retraining therapy (CVRT), with a home exercise program (HEP) for patients with objectively confirmed unilateral vestibular deficits (UVDs).

Study Design

Single‐center, randomized, interventional trial, with 1‐sided crossover.

Setting

A tertiary neurotology clinic.

Methods

Patients with UVDs and Dizziness Handicap Inventory (DHI) score >30 were randomized to receive either CVRT or HEP. After completion of treatment, the HEP group was crossed over to CVRT. Outcome measures were the sensory organization test (SOT) and 3 participants reported dizziness disability measures: the DHI, Activity‐Specific Balance Confidence Scale (ABC) scale, and Falls Efficacy Score—International (FES‐I).

Results

We enrolled 37 patients: 18 participants completed CVRT and 12 completed HEP, 11 of whom completed the crossover. Seven participants withdrew. The CVRT group demonstrated a greater improvement in SOT composite score than the HEP group (P = .04). Both groups demonstrated improvement in participant‐reported measures but there were no differences between groups (DHI: P = .2604; ABC: P = .3627; FES‐I: P = .96). Following crossover to CVRT after HEP, SOT composite (P = .002), DHI (P = .03), and ABC (P = .006) improved compared to HEP alone.

Conclusion

CVRT and HEP were both associated with improved participant‐reported disability outcomes. CVRT was associated with greater improvement in objective balance than HEP. Adding CVRT after HEP was superior to HEP alone. Multimodal CDP‐based interventions, such as CVRT, should be considered as an adjunct to vestibular physiotherapy for patients with UVD.
Assessing early left ventricular remodeling in pediatric hypertension: A study using transthoracic echocardiography combined with two‐dimensional speckle tracking echocardiography in an immature rabbit model
Authors: Feng Lingxin , Zhu Xu , Ji Xiaojuan , Zhu Huiru , Ran Tingting , Yang Haiyan
Published: July 2024

This study explored the value of routine transthoracic echocardiography (TTE) combined with two‐dimensional speckle tracking echocardiography (2D‐STE) for the early evaluation of left ventricular remodeling in the hypertensive immature rabbit model. Twenty‐seven New Zealand white rabbits were divided into Group A (sham‐operated group), Group B (mild group), and Group C (severe group), with 9 rabbits per group. The hypertension model was constructed using the “two kidneys one clip” method. Changes in left ventricular function and the degree of left ventricular wall thickening were observed by TTE at 1, 4, and 8 weeks after modeling. The global longitudinal strain (GLS‐AVG, GLS‐A4C, GLS‐A2C, and GLS‐LAX) of the left ventricle (LV) and the longitudinal strain (LS) of the 18 segments of left ventricular myocardium were analyzed using 2D‐STE. Concurrently, LV myocardial tissue was sampled for HE staining and Masson staining. Receiver operating characteristic (ROC) curves were plotted to evaluate the accuracy of 2D‐STE parameters in predicting myocardial fibrosis. The model group exhibited varying degrees of left ventricular remodeling. GLS‐A4C, GLS‐A2C, GLS‐LAX, and GLS‐AVG in the model group increased at 1 week after modeling (P < 0.01), with LS abnormalities concentrated in the apical segments. GLS‐AVG showed a significant positive correlation with both IVSd and CVF (P < 0.01). The area under the curve (AUC) values of GLS‐AVG, GLS‐A4C, GLS‐A2C, and GLS‐LAX were 0.850, 0.827, 0.839, and 0.800, respectively. This study demonstrates the promise of TTE combined with 2D‐STE for the early and comprehensive evaluation of left ventricular myocardial damage in hypertensive children in the clinical setting.
Gravastar Model in Krori–Barua Metric Under f(Q)$f(\mathcal {Q})$ Gravity
Authors: Mohanty Debasmita , Sahoo Pradyumn K.
Published: July 2024

In this paper, the characteristics of a gravastar in gravity, which is upheld by Krori–Barua (KB) metric are explored. The authors have used KB metric for the interior and shell regions of the gravastar. The field equations are deduced by using KB metric. In the outside regions of the gravastar, two regular black hole metrics are taken. Additionally, the Israel junction condition to calculate the potential difference across the thin shell concerning different types of regular black holes, such as Bardeen and Hayward is applied. The physical properties like proper length, entropy, energy, equation of state, and stability are also discussed.
Proca in an Expanding Universe
Authors: Fell Shaun David Brocus , Heisenberg Lavinia
Published: July 2024

The superradiant growth of massive vector fields in rotating black hole spacetimes has garnered significant attention in recent literature. However, the majority of these studies overlook the influence of a cosmological constant, which likely constitutes the primary energy content of our universe. In this paper, we extend recent research by incorporating a cosmological constant into the Einstein+Proca system and numerically evolving the resulting equations of motion. Utilizing the newly released GRBoondi numerical relativity code, designed specifically for the numerical evolution of (generalized) Proca fields, we discover that parameters causing a growing instability in the scenario transition to a decaying state when . This results in a more intriguing phenomenology. These simulations pave the way for future full Einstein+Proca simulations to explore the secular decay of the resultant cloud from gravitational emission.
HAZOP, FMECA, monitoring algorithm, and Bayesian network integrated approach for an exhaustive risk assessment and real‐time safety analysis: Case study
Authors: Nehal Naima , Mekkakia‐Mehdi Mokhtaria , Lounis Zakia , Guetarni Islam H. M. , Lounis Zoubida
Published: July 2024

Hazard studies are essential in the petrochemical industry to ensure safe operations. This article provides an in‐depth analysis of the hazards associated with a vacuum distillation unit furnace. This study aims to identify probable hazard scenarios related to furnace operation, assess the associated risks, and provide prevention and mitigation strategies. A comprehensive strategy was employed to achieve these objectives, combining two analysis methods: HAZard OPerability (HAZOP) and Failure Modes, Effects, and Criticality Analysis (FMECA). This integrated approach enables a comprehensive risk assessment to be carried out and appropriate preventive measures to be taken to maintain safe operations, including renovation work. Then, depending on the results of the two methods, it is essential to constantly evaluate equipment safety, taking into account parameters such as furnace efficiency, tube temperature, and fume temperature. Therefore, a monitoring program has been created in Python, which enables real‐time examination of the furnace's safety with these critical parameters. If safety conditions are compromised, alarms are sent to mitigate risks, particularly in case of a failure. A Bayesian model is also developed to evaluate the algorithm's results and determine renovation and failure case scenarios. This comprehensive approach improves risk assessment's reliability, precision, maintains safe and efficient industrial operations.
Unbiased process capability estimation for autocorrelated data using exhaustive systematic sampling
Authors: Grimshaw Scott D. , Guo Zhupeng , Duke Tyler
Published: July 2024

It is well known that process control index estimators are inflated when naively applied to positively autocorrelated data. The autocorrelation is a nuisance and not a feature that is captured in the process capability indices. This paper proposes exhaustive systematic sampling to create a pooled variance estimator that replaces the biased estimator of the process data standard deviation when data are autocorrelated. The proposed method is effective because the observations within a systematic sample are spread out in time and should be less correlated with each other as a result. It is similar to Bayesian thinning as a strategy for reducing the impact of autocorrelation except no observations are dropped. Properties of estimated process control indices are derived using quadratic forms and large sample theory that is nonparametric in the sense no distribution or time series model is assumed. Approximately unbiased estimates can be achieved for sufficiently large systematic sampling interval. The proposed method is compared to the time series method in a simulation study that demonstrates similar performance. The proposed method is applied to two examples that use because the target is not the midpoint of the specification limits and the mean differs from the target.
Mathematical modeling of evolution of cell networks in epithelial tissues
Authors: Krasnyakov Ivan
Published: July 2024

Epithelial cell networks imply a packing geometry characterized by various cell shapes and distributions in terms of number of cell neighbors and areas. Despite such simple characteristics describing cell sheets, the formation of bubble‐like cells during the morphogenesis of epithelial tissues remains poorly understood. This study proposes a topological mathematical model of morphogenesis in a squamous epithelial. We introduce a new potential that takes into account not only the elasticity of cell perimeter and area but also the elasticity of their internal angles. Additionally, we incorporate an integral equation for chemical signaling, allowing us to consider chemo‐mechanical cell interactions. In addition to the listed factors, the model takes into account essential processes in real epithelial, such as cell proliferation and intercalation. The presented mathematical model has yielded novel insights into the packing of epithelial sheets. It has been found that there are two main states: one consists of cells of the same size, and the other consists of “bubble” cells. An example is provided of the possibility of accounting for chemo‐mechanical interactions in a multicellular environment. The introduction of a parameter determining the flexibility of cell shapes enables the modeling of more complex cell behaviors, such as considering change of cell phenotype. The developed mathematical model of morphogenesis of squamous epithelium allows progress in understanding the processes of formation of cell networks. The results obtained from mathematical modeling are of significant importance for understanding the mechanisms of morphogenesis and development of epithelial tissues. Additionally, the obtained results can be applied in developing methods to influence morphogenetic processes in medical applications.
Trajectory Tracking of Stochastic Open Quantum Systems Based on Online Estimated State Feedback Control
Authors: Cong Shuang , Zhou Yuqiu
Published: July 2024

An online estimated state feedback control for trajectory tracking in stochastic open quantum systems is proposed in this paper, which is based on the Lyapunov‐based control method. By inducing the error between the controlled state, and the target state as the error state, the trajectory tracking problem of the quantum system is transformed into the error state transition control problem. The quantum state online estimation method QST‐OADM is applied to estimate the state of the error state system online, and the tracking control laws are designed by using the quantum Lyapunov stability theorem for driving the stochastic open quantum system from an arbitrary initial state to an arbitrary trajectory. The numerical simulation experiments and results analyses are given.
Dark patterns: EU's regulatory efforts
Authors: Herman Johanna
Published: July 2024

In a world where technology is rapidly advancing, regulation of dark pattern practices has become a topic of increasing importance. Society has become somewhat desensitized to these deceptive online practices that manipulate users into taking actions, which are not in their best interests, such as difficulty unsubscribing from a service, prominence of consent buttons, and countless other advanced tactics to obscure transparency. However, these ongoing practices harm both the individual user, and society in general, by impeding informed decision‐making. This Article addresses the European Union's leading efforts to tackle dark pattern practices, and in particular, addresses the numerous legislative acts which have been enacted to regulate and eliminate them. The acts explored in this Article include the General Data Protection Regulation, the Uniform Commercial Practices Directive, the Data Act, the Digital Markets Act, the Digital Services Act, the Amendment to the Directive on Financial Services Contracts Concluded at a Distance, and the Artificial Intelligence Act. This Article then discusses the interplay between the numerous acts, and the resulting ambiguities and overlap which have led to a level of regulatory redundancy. This Article examines not only the difficulty in interpretation of the various acts, but additionally, explores the issues which arise in implementation from a jurisdictional perspective. Further, this Article suggests potential solutions to address the fragmented legislation, including a hybrid form of harmonization, as well as methods for consolidation and centralization.
Rainwater for drinking purposes: An overview of challenges and perspectives
Authors: Brião Vandré Barbosa , Cadore Jéssica Stefanello , Graciola Samarah , da Silva Raíssa Vieira , Giubel Guilherme Otávio Moraes , Barbizan Luiza Desengrini , Lazzari Tauane , Agha Stephen , Vepa Ranjan , Shaheed M. Hasan
Published: July 2024

Research focused on rainwater for human consumption is being conducted in different regions of the world. The systematic review revealed that the inadequate quality of harvested rainwater and its scarcity pose significant barriers to the installation of the catchment of rainwater for noble uses. The improper design of rainwater harvesting systems, often a result of the disregard of critical data, is a crucial factor leading to the development of poorly structured systems and inadequate management of this valuable resource. The absence of scientific knowledge about the process further compounds the problem, leading to a sense of insecurity for potential consumers. Ultrafiltration (UF) membranes, followed by ultraviolet disinfection or chlorination, have shown satisfactory results for the potability of rainwater. Additionally, the implementation of photovoltaic panel energized rainwater UF is both economically and technically feasible, and serves as an alternative to traditional water supply approaches. Most studies focused on the utilization of harvested water for non‐drinking purposes, thereby providing opportunities for new studies into effective treatment methods to cater to local and global potable water demands. Therefore, this review aimed to provide insights into the current progress, future challenges, and opportunities related to rainwater harvesting systems and their treatment for the supply of drinking water.

This article is categorized under:

Engineering Water > Engineering Water

Engineering Water > Sustainable Engineering of Water

Engineering Water > Planning Water
Finite element analysis and evaluation of an extended two‐dimensional elasticity theory: Application to thick plate vibrations
Authors: Houmat Abderrahim
Published: July 2024

An extended two‐dimensional (2D) elasticity theory based on the weighted residual concept is developed in an attempt to capture thickness effects in vibrating thick plates. Plate theories can only provide approximate solutions due to certain kinematics assumptions. The weighting functions are expressed in terms of Legendre orthogonal polynomials. A formulation in rectangular Cartesian coordinates serves as the basis for an implementation of the finite element method. The applicability of the extended 2D elasticity theory is demonstrated through examples of rectangular, thick plates with different aspect ratios, thickness ratios, and boundary conditions. The accuracy of the extended 2D elasticity theory is assessed through a three‐dimensional finite element analysis. The frequencies and modal stresses show excellent agreement with three‐dimensional finite element calculations.
Adaptive region tracking control for multiple nonholonomic mobile robot systems subject to collision avoidance
Authors: Zhang Xiaohong , Yu Jinwei
Published: July 2024

The paper is concerned with the region tracking control problem of multiple nonholonomic mobile robot systems with collision avoidance. The peculiar characteristic of the proposed scheme is that a class of potential energy functions is chosen to form the desired target region constraining the robots for aggregation, and some local potential energy functions are selected to maintain collision avoidance among robots. Such that each mobile robot only needs to interact with their neighbors to realize the region tracking control task. Moreover, this paper provides a new analytical framework of region tracking control for a network of wheeled mobile robots, in which the integration of the system decomposition and sliding mode control method enables to convert the nonholonomic constraint problem of the controlled mobile robot system into a holonomic constraint problem. This provides a new approach to solving the mobile robot control problem. Theoretical analysis and numerical simulation results are given to validate the effectiveness of the proposed control scheme.
Vibration control and analysis of Terfenol‐D functional gradient material beams with porosities: Linear and nonlinear perspectives in thermal environments
Authors: Oudra Abderrahim , Khouddar Yassine El , Adri Ahmed , Outassafte Omar , Hantati Issam El , Isksioui Hamza , Moussami Haj El
Published: July 2024

This paper investigates the vibration characteristics, both linear and non‐linear, of beams made from functional gradient materials (FGMs) with layers of Terfenol‐D attached to the top and bottom surfaces. Given the porosities that can occur during the manufacture of FGMs, the study examines the vibrational behaviour of beams with porosities. Euler–Bernoulli beam theory and the von‐Kármán non‐linear deformation field are used to formulate a fundamental equation predicting the free dynamic vibration of Terfenol‐D FGM structures with porosities. To complete this analysis, the paper also presents the application of two advanced methods. The first method involves employing the generalised finite element method (GFEM) associated with the reduced quadrature finite element method (RQFEM). GFEM offers a versatile and powerful approach, while RQFEM provides a specific method for studying dynamic phenomena. The second method utilises a semi‐analytical approach, the variational iteration method (VIM), which examines and complements the first method. Furthermore, we have demonstrated substantial alignment between the proposed solution and the results of finite element analysis, as well as with the existing literature, underscoring the effectiveness and accuracy of our analytical approach. The study also explores the influences of material property distribution, thermal loading, and porosity volume fraction on the linear and non‐linear behaviour of Terfenol‐D FGM beams. This comprehensive exploration furnishes valuable information on the intricate interplay of factors affecting vibration dynamics and control mechanisms in these advanced composite structures, offering insightful perspectives into the potential application of Terfenol‐D FGM beams in various fields.
The Crime-Crypto Nexus: Nuancing Risk Across Crypto-Crime Transactions
Authors: Hamilton Rhianna , Leuprecht Christian
Published: July 2024

Cryptocurrency is supercharging illicit activities by transnational criminal networks, including terrorism, drug trafficking, pornography, sanctions evasion, and ransomware. Yet, mainstream cryptocurrency literature often overlooks this criminal association. The relatively new and transboundary nature of cryptocurrency is restructuring criminal activities. Hacking has emerged as a digital-age bank heist, siphoning off substantial sums from exchange platforms. Crypto crime is dynamic, transitioning from primarily placing and layering the proceeds of precursor crimes into the financial system to a burgeoning trend of stealing virtual currency. While not every online financial crime involves cryptocurrency, the proliferation of crypto-enabled cybercrimes is exponential. Paradoxically, existing literature largely disregards how cryptocurrency-enabled offenses such as Online Child Sexual Exploitation and Abuse (OCSEA), sanctions evasion, and ransomware.
Autonomous military systems beyond human control: putting an empirical perspective on value trade-offs for autonomous systems design in the military
Authors: Boshuijzen-van Burken Christine , de Vries Martijn , Allen Jenna , Spruit Shannon , Mouter Niek , Munyasya Aylin
Published: July 2024

The question of human control is a key concern in autonomous military systems debates. Our research qualitatively and quantitatively investigates values and concerns of the general public, as they relate to autonomous military systems, with particular attention to the value of human control. Using participatory value evaluation (PVE), we consulted 1980 Australians about which values matter in relation to two specific technologies: an autonomous minesweeping submarine and an autonomous drone that can drop bombs. Based on value sensitive design, participants were tasked to enhance the systems with design features that can realize values. A restriction (limited budget) in each design task forced participants to make trade-offs between design options and the values that these options realize. Our results suggest that the ‘general public’ has diverse and nuanced stances on the question of human control over autonomous military systems. A third of participants that is opposed to autonomous military systems when asked directly, selected different combinations of design features realizing varying degrees of human control. Several contextual factors, technology-specific concerns, and certain values seemed to explain these different choices. Our research shows that a focus on human control might overlook other important values that the general public is concerned about, such as system reliability, verifiability, and retrievability.
Intentionality gap and preter-intentionality in generative artificial intelligence
Authors: Redaelli Roberto
Published: July 2024

The emergence of generative artificial intelligence, such as large language models and text-to-image models, has had a profound impact on society. The ability of these systems to simulate human capabilities such as text writing and image creation is radically redefining a wide range of practices, from artistic production to education. While there is no doubt that these innovations are beneficial to our lives, the pervasiveness of these technologies should not be underestimated, and raising increasingly pressing ethical questions that require a radical resemantization of certain notions traditionally ascribed to humans alone. Among these notions, that of technological intentionality plays a central role. With regard to this notion, this paper first aims to highlight what we propose to define in terms of the intentionality gap, whereby, insofar as, currently, (1) it is increasingly difficult to assign responsibility for the actions performed by AI systems to humans, as these systems are increasingly autonomous, and (2) it is increasingly complex to reconstruct the reasoning behind the results they produce as we move away from good old fashioned AI; it is now even more difficult to trace the intentionality of AI systems back to the intentions of the developers and end users. This gap between human and technological intentionality requires a revision of the concept of intentionality; to this end, we propose here to assign preter-intentional behavior to generative AI. We use this term to highlight how AI intentionality both incorporates and transcends human intentionality; i.e., it goes beyond (preter) human intentionality while being linked to it. To show the merits of this notion, we first rule out the possibility that such preter-intentionality is merely an unintended consequence and then explore its nature by comparing it with some paradigmatic notions of technological intentionality present in the wider debate on the moral (and technological) status of AI.
First paired observations of sexual behavior and calls in wild leopard seals
Authors: Kienle Sarah S. , Bonin Carolina A. , Gómez Gabriela , Goebel Michael E. , Donke Marcelo , Sperou Emily S. , Guerrero Alicia I. , Borras-Chavez Renato
Published: July 2024

Little is known about the reproductive biology of the leopard seal (Hydrurga leptonyx), a Southern Ocean predator. Here we observed sexual behavior in wild leopard seals in Laguna San Rafael, Chile during a 2 h courtship interaction between a female and male. The female was hauled out on ice, mostly lying still (69% of the time) or moving (19%). The male was mostly under water (87%) or at the water’s surface (11%). The female made seven in-air calls (i.e., thump pulse, noseblast, blast, growl). The male produced 65 underwater calls (i.e., low- and high-double trills, unidentified trills). The underwater calls appeared to be directed toward the female. After the primary male vocalized for an hour, one or two unidentified leopard seals briefly swam near the female. After leaving the area, we heard underwater calls for another 8 h. The next day, the primary male was hauled out on ice with a swollen genital opening. The male was bleeding from a laceration caudal to the preputial opening, suggesting the male attempted to mate and that the female, or another seal, was responsible for the injury. Together, we find that leopard seal courtship involves a suite of behavioral and acoustic behaviors by both sexes, both in air and under water. This is the first description of leopard seal sexual behavior in the wild. Our study also provides the first evidence that leopard seals mate in South America.
Muscle MRI as a biomarker of disease activity and progression in myotonic dystrophy type 1: a longitudinal study
Authors: Fionda Laura , Leonardi Luca , Tufano Laura , Lauletta Antonio , Morino Stefania , Merlonghi Gioia , Costanzo Rocco , Rossini Elena , Forcina Francesca , Marando Demetrio , Sarzi Amadè David , Bucci Elisabetta , Salvetti Marco , Antonini Giovanni , Garibaldi Matteo
Published: July 2024

Introduction

Myotonic dystrophy type 1 (DM1) is an autosomal dominant disease characterized by myotonia and progressive muscular weakness and atrophy. The aim of this study was to investigate the usefulness of longitudinal muscle MRI in detecting disease activity and progression in DM1, and to better characterize muscle edema, fat replacement and atrophy overtime.

Materials and methods

This is a prospective, observational, longitudinal study including 25 DM1 patients that performed at least two muscle MRIs. Demographic and genetic characteristics were recorded. Muscular Impairment Rating Scale (MIRS) and MRC score were performed within 3 months from MRIs at baseline (BL) and at follow-up (FU). We analysed 32 muscles of lower body (LB) and 17 muscles of upper body (UB) by T1 and STIR sequences. T1-, STIR- and atrophy scores and their variations were evaluated. Correlations between MRIs’ scores and demographic, clinical and genetic characteristics were analysed.

Results

Eighty (80%) of patients showed fat replacement progression at FU. The median T1 score progression (ΔT1-score) was 1.3% per year in LB and 0.5% per year in UB. The rate of fat replacement progression was not homogenous, stratifying patients from non-progressors to fast progressors (> 3% ΔT1-score per year). Half of the STIR-positive muscles at BL showed T1-score progression at FU. Two patients with normal MRI at baseline only showed STIR-positive muscle at FU, marking the disease activity onset. STIR positivity at baseline correlated with fat replacement progression (ΔT1-score; p < 0.0001) and clinical worsening at FU (ΔMRC-score; p < 0.0001). Sixty-five (65%) of patients showed STIR- and fat replacement-independent muscle atrophy progression, more evident in UB.

Conclusions

Muscle MRI represents a sensitive biomarker of disease activity, severity, and progression in DM1. STIR alterations precede fat replacement and identify patients with a higher risk of disease progression, while T1-sequences reveal atrophy and fat replacement progression before clinical worsening.
Analysis and design of a GHz bandwidth adaptive bias circuit for an mmW Doherty amplifier
Authors: Elgaard Christian , Sjöland Henrik
Published: July 2024

This paper derives theoretical results for adaptive bias in Doherty amplifiers and presents the design and measurements of an integrated adaptive bias circuit tailored for high peak-to-average high bandwidth signals. Fundamental equations for output power, impedance, and efficiency of the complete Doherty amplifier are derived. Even with ideal transistor models, the Doherty amplifier is fundamentally nonlinear due to saturation of the main amplifier and class-C nonlinearity of the auxiliary. Increasing the transconductance of the auxiliary amplifier mitigates the distortion. Adaptive bias offers the possibility to control the output current characteristic of the auxiliary amplifier. This means that adaptive bias linearises and mitigates the need for an oversized auxiliary amplifier. Both methods, transconductance scaling and adaptive bias, are analysed and compared as well as having a band limited adaptive bias signal. The design of a multiple GHz bandwidth adaptive bias circuit is presented. To verify the circuit design and the theoretical predictions, an mmW Doherty amplifier in 22 nm CMOS-FD-SOI, utilizing the presented adaptive bias circuit, is measured and compared with and without adaptive bias. Comparison is conducted both using continuous-wave and modulated high bandwidth signals. Measured results confirm the predicted improvements by the adaptive bias as derived by the theoretical analysis.
Enhancing electrical properties through in-situ controlled nanocrystallization of V2O5–TeO2 glass
Authors: Okoczuk Piotr , Kwiatkowska Agnieszka , Murawski Leon , Pietrzak Tomasz K. , Wójcik Natalia A. , Garmroudi Fabian , Wicikowski Leszek , Kościelska Barbara
Published: July 2024

V2O5–TeO2 glass–ceramics (VTGC) were prepared by controlled annealing of the V2O5–TeO2 glass (VTG), which illustrates a parent glass matrix with a single charge carrier. The annealing proceeded at six temperatures selected between the glass transition and the maximum of the first crystallization process to obtain various nanocrystallite sizes. Heat treatment caused an increase in DC conductivity by 2.5–3.5 (250–285 °C) order of magnitude. Using thermal analysis, the crystal growth process was determined to be 1D. Structural studies show that the obtained materials are partially amorphous and polycrystalline with nanometer-sized crystallites. Subtle thread-like structures were observed using conductive AFM. The activation energy of the conduction process decreased from 0.38 eV in VTG to 0.18–0.11 eV (250–285 °C) in VTGC. The radii of crystallites were calculated based on the theoretical model of electron hopping between connected semiconducting nanocrystallites and vary between 1.7 and 2.8 nm (250–285 °C). Thermoelectric studies indicate constant carrier concentration. Features characteristic of small polaron hopping-governed materials were observed. We suggest V3O7 nanocrystals as conductive media in VTGC.

Graphical abstract
Exploring the Religious Practice of Langar as a Route to Health Promotion in the Sikh Community in Northern England: A Qualitative Study
Authors: Daffu-O’Reilly Amrit , Bharj Kuldip , Horne Maria , O’Connor Daryl , Conner Mark , Astin Felicity
Published: July 2024

Cardiovascular disease and type 2 diabetes are prevalent among UK South Asians. Langar is a Sikh religious food practice that could be important in dietary health promotion. This study explored perceptions of langar, its role in health, readiness and strategies for change and whether Gurdwaras (Sikh place of worship) are able to support change. Using an exploratory qualitative design, we conducted eight focus groups and one single interview with 28 Gurdwara attendees (12 males, 16 females), analysing transcripts using thematic analysis. Four themes were developed that described the meaning of langar, the understanding of health among Sikhs, the evolution of langar and implications for health and changing langar to protect health. It can be concluded that any change to langar needs to be gradual, respectful and widely supported. This research has scope to continue in light of the potential impact on health for the Sikh community.
Low Income, Ill-being, and Gender Inequality: Explaining Cross-National Variation in the Gendered Risk of Suffering Among the Poor
Authors: Araki Satoshi , Olivos Francisco
Published: July 2024

Scholars have long investigated the positive link between income and well-being, including its gender difference. However, little is known about (1) how low income is linked to ill-being among women and men; and (2) how their association varies depending on societal-level gender (in)equality. Filling this knowledge gap is crucial not only for scholarship but for social policy to tackle income-based disparities of ill-being. In this study, using the European Social Survey and the joint European Values Study-World Values Survey data, we conduct country-specific regressions and cross-national multilevel analyses to examine the relationship between low income, subjective ill-being (SIB), and macro-level gender parity. We first confirm that low-income individuals, regardless of gender, are more likely than their affluent counterparts to suffer from SIB in many countries. This indicates the applicability of implications derived from conventional approaches focused on the positive association between higher income and better well-being to the studies on low income and SIB. Nevertheless, the SIB risk significantly differs depending on the degree of gender inequality in that (1) both women and men face a higher likelihood of SIB in gender-inegalitarian societies; and importantly, (2) the psychological penalty for the poor is intensified under such gendered circumstances, especially among men. These results suggest that gender inequality not merely induces women’s ill-being but punishes low-income men possibly by exacerbating pressure as a breadwinner and imposing stigmas when they cannot meet gendered social expectations.
Description of Sandythoa gen. nov., a fish parasitic branchial cymothoid (Crustacea: Isopoda: Cymothoidae) from the Indian Ocean, with five species including one new species
Authors: Aneesh Panakkool Thamban , Bruce Niel , Helna Ameri Kottarathil , Biju Kumar Appukuttannair
Published: July 2024

The comparative analysis of records of Elthusa samariscii (Shiino, 1951) from Japan and India, alongside corresponding illustrations, indicates that the records of E. samariscii from Samaris cristatus Gray in India represent a distinct and previously undescribed species. This study introduces Sandythoa tirangagen. and sp. nov., providing comprehensive descriptions of various lifecycle stages, including the female, male, transitional, premanca, and manca larvae. The following combinations of characters identify the genus: cephalon anterior margin with acute rostrum; pleonite 1 is distinctly narrow, not extending laterally; presence of a narrow gap between pleonites; antenna with more than 10 articles; maxilliped with oostegital lobe. Sandythoa tirangasp. nov. is specifically identified along the southwest coast of India. Furthermore, we propose transferring the following species from Elthusa: Sandythoa arnoglossi (Trilles and Justine 2006) comb. nov.;Sandythoa parabothi (Trilles and Justine, 2004) comb. nov.; Sandythoa samariscii (Shiino, 1951) comb. nov.; Sandythoa moritakii (Saito and Yamauchi, 2016) comb. nov. A revised key to the global marine branchial cymothoid genera is provided.
Non-uniform magnetic fields for collective behavior of self-assembled magnetic pillars
Authors: Huaroto Juan J. , Piñan Basualdo Franco N. , Roos Ariëns Dionne Lisa , Misra Sarthak
Published: July 2024

Programmable and self-assembled magnetic pillars are essential to expanding the application domain of magnetic microparticle collectives. Typically, the collective behavior of self-assembled magnetic pillars is carried out by generating uniform and time-varying magnetic fields. However, magnetic field-shaping capabilities employing non-uniform fields have not been explored for magnetic pillars. In this study, we generate non-uniform magnetic fields using a nine-coil electromagnetic system to achieve object manipulation, upstream/downstream locomotion, and independent actuation. We begin analyzing the static magnetic self-assembly of reduced iron microparticles and experimentally derive the average dimensions (height and diameter) of the resulting pillars. Subsequently, we delve into the collective dynamic response under non-uniform and time-varying magnetic fields, unveiling four distinct modalities. In order to demonstrate the versatility of our approach, we extend our study to the two-dimensional manipulation of a millimeter-sized glass bead using a precessing magnetic field describing a Lissajous curve. Moreover, we showcase the ability of magnetic pillars to adapt to confined and dynamic conditions within fluidic tubes. We finally present a noteworthy case where the nine-coil electromagnetic system independently actuates two clusters of magnetic pillars. Our study shows the potential of using non-uniform magnetic fields to actuate self-assembled magnetic pillars, enabling morphology reconfiguration capabilities, object manipulation, locomotion, and independent actuation.
AutoRAG: Grounding Text and Symbols
Authors: Schulz Tim , Luttermann Malte , Möller Ralf
Published: July 2024

In safety critical domains such as the healthcare domain, systems for natural language question answering demand special correctness guarantees. Modeling problem domains formally allows for automatic transparent reasoning, but handling comprehensive formal models may quickly demand expert knowledge. Ultimately, we need a system which is as easily accessible as large language models while the correctness of its output should be checkable using trusted knowledge. Since words are ambiguous in general but concepts of a formal model are not, we propose to expand the vocabulary of a language model by concepts of a knowledge base: Motivated by retrieval-augmented generation, we introduce AutoRAG, which does not retrieve data from external sources, rather it perceives parts of the knowledge base from special vocabulary, trained by auto-encoding text and concepts. Our AutoRAG implementation for a use case in the field of nosocomial pneumonia describes concepts it associates with the input and can naturally provide a graphical depiction from the expert-made knowledge bas to allow for feasible text sanity checks.
Moisture penetration and distribution characterization of hard coal: a µ-CT study
Authors: Tan Lihai , Ren Ting , Dou Linming , Sun Jian , Yang Xiaohan , Qiao Ming
Published: July 2024

Moisture content of rock/coal can change its mechanical properties and absorption capacities, which can directly affect gas diffusivity, change the stress distribution and hence cause significant impacts on the overall gas or coal extraction process. Observation of the water penetration process and water distribution in the coal matrix will be beneficial for the understanding of the fluid-solid coupling mechanism in hydraulic fracturing, aquifer cracking and coal seam infusion. However, the observation of water penetration process and the determination of water distribution mode were hard to be non-destructively achieved as coal is a non-uniform, inhomogeneous and un-transparent material. µ-CT imaging, which is based on variation of X-ray attenuation related to the density and atomic composition of the scanned objects, enables a four-dimensional (spatial-temporal) visualise of the heterogeneous and anisotropic coal samples. The primary aim of this paper is extending the application of µ-CT imaging to explore the moisture penetration and distribution within coal samples during water infusion process, which has been reported by very little literature. The working principle and procedures of CT imaging was firstly introduced. Then, the determination equation of moisture distribution based on density profile was established. The CT determined moisture content has been compared with weighting method for verification. The paper has demonstrated that µ-CT can be used for non-destructively imaging the moisture distribution within coal samples.