bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Motivation in the Progression of Problem Gambling: A Comparison of Early and Late Adults
Authors: Komoto Yasunobu
Published: June 2024

Motivation plays a dominant role in gambling progression. Most studies using motivational scales have revealed that certain motivations are associated with problem gambling. However, age differences were found to be negligible in gambling motivation. This study aimed to examine the role of motivation associated with age differences in problem gambling in Japan. A total of 160 participants over 20 years of age who had gambled within the past six months were randomly recruited from web monitors. In this study, the Japanese version of the modified Gambling Motivation Scale (J-MGMS) was used which comprises six systematic factors: intellectual challenge, excitement, socialization (coping and sociability), social recognition, monetary gain, and amotivation. The Japanese version of the South Oaks Gambling Screening (J-SOGS) was used to assess participants’ gambling-related problems. Demographic data, such as gambling frequency, were solicited. Using linear regression analysis, amotivation in all participants, social recognition in early adults (under 30), and amotivation in late adults (30 or over) were associated with J-SOGS scores (adjusted R2 = 0.170, 0.290, 0.156). Among late adults, social recognition was nearly significant, although negative (p = 0.0503). 1) Self-determinant (autonomous) motivations such as excitement and socialization do not contribute to the progression of problem gambling. 2) Two non-self-determinant (non-autonomous) motivations, social recognition in early adults and amotivation in late adults, are predictors of problem gambling. 3) Social recognition is a dichotomic and paradoxical motivation in the progress of problem gambling according to age.
Impact of Hearing Loss and Auditory Rehabilitation on Dyads: A Microsocial Perspective
Authors: Völter Christiane , Oberländer Kirsten , Brüne Martin , Ramseyer Fabian T.
Published: June 2024

Hearing loss severely hampers verbal exchange and thus social interaction, which puts a high burden on hearing-impaired and their close partners. Until now, nonverbal interaction in hearing-impaired dyads has not been addressed as a relevant factor for well-being or quality of social relationships. Nonverbal synchrony of head- and body-movement was analysed in N = 30 dyads of persons with hearing impairment (PHI) and their significant others (SO). In a 10-minute conversation before (T1) and 6 months after cochlear implantation (T2), Motion Energy Analysis (MEA) automatically quantified head- and body-movement. Self-report measures of both dyad members were used to assess aspects of quality of life and closeness in the partnership. After cochlear implantation, nonverbal synchrony showed a downward trend and was less distinct from pseudosynchrony. Higher synchrony was associated with worse hearing-related quality of life, shorter duration of hearing impairment and less closeness in the relationship. This negative association was interpreted as an indication for the effort one has to make to cope with difficulties in a dyad`s relationship. Endorsing a holistic approach in auditory rehabilitation, we propose the assessment of nonverbal synchrony as a suitable tool to detect subtle imbalances in the interpersonal relation between PHI and SO outside conscious control and to provide cues for possible therapeutical strategies.
Effect of alkyl chain length on the thermal properties and toxicity of n-alkyl-ammonium nitrate ionic liquids (n = 2, 3, 4, 5, 6, 8) for energy applications
Authors: Villanueva M. , Vallet P. , Teijeira T. , Santiago-Alonso A. , Amigo A. , Tojo E. , Varela L. M. , Parajó J. J. , Salgado J.
Published: June 2024

The most currently used ionic liquids (ILs) are protic ionic liquids (PILs), subject to extensive investigation regarding their physical properties. These compounds along with their mixtures with other substances such as salts and solvents, serve as electrolytes in next generation electrochemical smart devices, and emerge as viable candidates to replace conventional Heat Transfer Fluids (HTFs) in various energy applications. Despite the extensive number of studies, important information about this kind of compounds is still unknown, such as the effect of alkyl chain length on thermal and thermophysical properties, as well as toxicity. This work, extending previous studies of our group, summarizes the liquid range, heat capacity and acute toxicity level of six ammonium ILs: specifically, n-alkyl-ammonium nitrate ILs with increasing alkyl chain length (n = 2, 3, 4, 5, 6, 8). For this study, the synthesis of the three ILs with the longest alkyl chain was performed, along with DSC, TGA and toxicity measurements. It was observed that an increase in alkyl chain length resulted in a decrease in short-term thermal stability and an increase in melting temperature, indicating a reduction in the liquid range. A compensation effect between enthalpy and entropy of melting was observed for the studied chain lengths. The isobaric specific and molar heat capacities increase with temperature for all the compounds studied here, and good correlations were obtained between molar heat capacity and the number of carbon atoms in the alkyl chain for every temperature. Finally, most of the ILs are non-toxic, although toxicity increases with alkyl chain length.
Quality of life outcomes for informal carers of long-term care service users in Austria, England and Finland
Authors: Linnosmaa Ismo , Nguyen Lien , Jokimäki Hanna , Saloniki Eirini-Christina , Malley Juliette , Trukeschitz Birgit , Hajji Assma , Forder Julien
Published: June 2024

Purpose

The provision and funding of long-term care (LTC) for older people varies between European countries. Despite differences, there is limited information about the comparative performance of LTC systems in Europe. In this study, we compared quality of life (QoL) of informal carers of home care service users in Austria, England and Finland.

Methods

Informal carers were surveyed in Austria, England and Finland. The study data (n = 835) contained information on social care-related quality of life (SCRQoL) associated with the ASCOT-Carer measure, and characteristics of carers and care recipients from each country. We applied risk-adjustment methods using a fractional regression model to produce risk-adjusted SCRQoL scores for the comparative analysis. In a sensitivity analysis, we applied multiple imputation to missing data to validate our findings.

Results

We found that the mean values of the risk-adjusted SCRQoL of informal carers in England were 1.4–2.9% and 0.3–0.5% higher than in Finland and Austria, and the mean values of the risk-adjusted SCRQoL of carers in Austria were 0.8–2.7% higher than in Finland. Differences in the mean values of the country-specific risk-adjusted SCRQoL scores were small and statistically non-significant. English informal carers were less healthy and co-resided with care resipients more often than carers in Austria or Finland.

Conclusion

Small differences between the risk-adjusted SCRQoL scores between Austria, England and Finland are consistent with the observation that the countries provide different types of support for informal carers. Our results help local and national decision-makers in these countries to benchmark their informal care support systems.
Wittgenstein and the liar
Authors: Bromand Joachim
Published: June 2024

Ludwig Wittgenstein’s remarks on contradictions and paradoxes have been met with incomprehension and have fueled the widespread and long-standing prejudice that his later thoughts on the foundations of logic and mathematics are the “surprisingly insignificant product of a sparkling mind” (Kreisel, British Journal for the Philosophy of Science 9:135–158, 1959, p. 158). This paper disagrees; it argues that Wittgenstein’s remarks on semantic paradoxes suggest an account of the Liar and its kin that is not only of historical interest but also represents a hitherto unnoticed paraconsistent alternative to established approaches to the Liar. In what follows, a reading of Wittgenstein’s remarks will be offered according to which Wittgenstein subscribes to a form of dialetheism (that is, the view that there are sentences that are both true and false). In contrast to modern dialetheist approaches to the Liar, however, some of Wittgenstein’s remarks suggest combining a dialetheist position with what is called ‘logical nihilism’ (that is, the view that there are no universally valid inference rules).
The mark of a felony conviction: How does the threat of a felony influence willingness to accept a plea?
Authors: Lee Jacqueline G. , Jaynes Chae M.
Published: June 2024

Objectives

Investigate how the threat of a possible felony conviction affects defendants’ willingness to accept a plea (WTAP) and whether perceptions of collateral consequences explain this influence.

Methods

We use a nationwide (N=659) vignette experiment which manipulated 1) guilt and 2) plea offer charge reduction (felony or misdemeanor) to determine their effect on WTAP. Respondents were also asked to rank the relative importance of common collateral consequences in their decision to plea (or not).

Results

A felony probation plea offer, relative to a misdemeanor probation offer, was associated with lower WTAP. Perceptions of collateral consequences did not account for this “felony effect” on WTAP.

Conclusions

While people want to avoid the “mark” of a felony conviction, it is not necessarily due to fear of specific collateral consequences; instead, it appears that people want to avoid the stigmatizing label.
Gene Editing Cattle for Enhancing Heat Tolerance: A Welfare Review of the “PRLR-SLICK Cattle” Case
Authors: Pozzebon Mattia , Guldbrandtsen Bernt , Sandøe Peter
Published: June 2024

In March 2022 the US Food and Drug Administration (FDA) published a risk assessment of a recent animal gene editing proposal submitted by Acceligen™. The proposal concerned the possibility of changing the cattle genome to obtain a slicker, shorter hair coat. Using CRISPR-Cas9 it was possible to introduce an intentional genomic alteration (IGA) to the prolactin receptor gene (PRLR), thereby producing PRLR-SLICK cattle. The goal was to diminish heat stress in the cattle by enhancing their heat-tolerance. With regard to unintended alterations (i.e., off-target effects), the FDA stated that the IGA posed a low, but still present, risk to animal safety. The aim of this article is to present some initial insights into the welfare issues raised by PRLR-SLICK cattle by addressing the question: Do SLICK cattle have better welfare than non-SLICK cattle when exposed to heat stress? Two potential welfare concerns are examined. The first is pleiotropy, an issue that arises when one gene affects multiple traits. Given the pleiotropic nature of prolactin, it has been suggested that the IGA for SLICK cattle may also affect their hepatic and other functions. The second concern relates not primarily to direct effects on cattle health, but rather to the indirect risk that this more heat-tolerant animal would just be used in the livestock sector under farming conditions that are such that the net welfare improvement would be non-existent.
The impact of clinically relevant health conditions on psychosocial outcomes in survivors of childhood cancer: results of the DCCSS-LATER study
Authors: Maas Anne , Maurice-Stam Heleen , Feijen Lieke E.A.M. , Teepen Jop C. , van der Aa-van Delden Alied M. , Streefkerk Nina , van Dulmen-den Broeder Eline , Tissing Wim J. E. , Loonen Jacqueline J. , van der Pal Helena J. H. , de Vries Andrica C. H. , van den Heuvel-Eibrink Marry M. , Ronckers Cécile , Neggers Sebastian , Bresters Dorine , Louwerens Marloes , Versluys Birgitta A. B. , van der Heiden-van der Loo Margriet , Kremer Leontien C. M. , Grootenhuis Martha ,   the Dutch LATER study group
Published: June 2024

Purpose

Investigate the association between presence, number and type of clinically relevant health conditions and a range of psychosocial outcomes (emotional, social, cognitive, physical) in survivors of childhood cancer (CCS).

Methods

CCS from the Dutch Childhood Cancer Survivor Study (DCCSS)-LATER cohort (diagnosed between 1963–2001, attained age ≥ 18, diagnosed < 18, ≥ 5 years since diagnosis) completed a questionnaire on health conditions (2013–2014), and questionnaires on psychosocial outcomes (2017–2020): Hospital Anxiety and Depression Scale, Short form 36, TNO-AZL Questionnaire for Adult Health-Related Quality of Life, and the Self-Rating Scale for Post-Traumatic Stress Disorder. Associations among health conditions and psychosocial outcomes were assessed with regression analysis, adjusting for attained age, sex, and time since diagnosis, and adjusting for multiple testing (p < 0.004).

Results

A total of 1437 CCS, mean age 36.3 years, 51.1% female, ≥ 15 years since diagnosis, completed questionnaires on health and psychosocial outcomes. CCS with a clinically relevant health condition, and those with more conditions had worse emotional, social, and physical outcomes; regression coefficients were small to moderate. CCS with gastro-intestinal conditions, endocrine, nervous systems, eye, or ear conditions, and especially those with secondary malignant neoplasms, reported worse psychosocial functioning; regression coefficients were small/moderate to large.

Conclusion and implications

Health care professionals should be aware of the increased risk for psychosocial problems among CCS with health conditions, especially for survivors with secondary malignant neoplasms, gastro-intestinal, endocrine, nervous system, eye, and ear conditions. CCS may benefit from psychological interventions to develop coping strategies to manage health conditions and psychosocial consequences of the cancer trajectory.
A Review of Probabilistic Approaches for Assessing the Liquefaction Hazard in Urban Areas
Authors: Cruz Alejandro , Karimzadeh Shaghayegh , Chieffo Nicola , Sandoval Eimar , Lourenço Paulo B.
Published: June 2024

Several probabilistic liquefaction triggering approaches, or liquefaction manifestation severity approaches, have been developed to consider the uncertainties related to liquefaction and its manifestations. Probabilistic approaches are essential for vulnerability and risk models that considers the consequences of liquefaction on building performance. They may be incorporated into a performance-based earthquake engineering framework through a fully probabilistic liquefaction hazard assessment. The objective is to effectively incorporate spatial interaction of two concurrent hazards, specifically earthquake-induced shaking, and liquefaction, and to develop a robust multi-hazard framework applicable to regions with limited input data. For this purpose, it is necessary to establish, according to the available probabilistic liquefaction triggering or manifestation severity assessment approaches, which set of approaches aligns optimally with vulnerability and risk models. Thus, this paper discusses the current methodologies on the ongoing probabilistic liquefaction hazard assessment approaches with the aim of defining a reliable model specific for areas with a non-liquefiable surface layer over a liquefiable layer.
Advances in the Treatment of Neuropathic Pain by Sympathetic Regulation
Authors: Xu Ping , Fan Han Rui , Zhang En Ming , Zhang Hao Nan , Fei Yong
Published: June 2024

Purpose of Review

To explore the mechanism and therapeutic effect of sympathetic nerve regulation on neuropathic pain.

Recent Findings

A comprehensive search was conducted in the PubMed and CNKI libraries, using the following keywords: stele ganglion block, neuropathic pain, sympathetic nerve block, sympathetic chemical destruction, and sympathetic radiofrequency thermocoagulation. We selected and critically reviewed research articles published in English that were related to sympathetic modulation in the treatment of neuropathic pain. The collected literature will be classified according to content and reviewed in combination with experimental results and clinical cases. Neuropathic pain was effectively treated with sympathetic regulation technology. Its mechanism includes the inhibition of sympathetic nerve activity, regulation of the inflammatory response, and inhibition of pain transmission, which greatly alleviates neuropathic pain in patients. Stellate ganglion blocks, thoracic and lumbar sympathectomies, chemical destruction, and radiofrequency thermocoagulation have been widely used to treat neuropathic pain.

Sympathetic regulation can effectively relieve pain symptoms and improve the patient's quality of life by inhibiting sympathetic nerve activity, reducing the production and release of pain-related mediators, and inhibiting pain transmission. CT-guided radiofrequency thermocoagulation of the thoracic and lumbar sympathetic nerves is effective and durable, with few complications, and is recommended as a treatment for intractable neuropathic pain.
Comprehensive machinability assessment of Ti6Al4V alloy during drilling and helical milling using sustainable dry condition
Authors: Hiremath Anupama , Malghan Rashmi L. , Bolar Gururaj , Polishetty Ashwin
Published: June 2024

Cutting fluids are an essential requirement while machining materials like Ti6Al4V alloy exhibiting low thermal conductivity and work hardening behavior. However, the non-biodegradable nature of the oil increases carbon emissions and causes serious health concerns, thus jeopardizing sustainability. In addition, complexity increases when drilling Ti6Al4V alloy due to the temperature build-up, leading to material adhesion and accelerated tool wear. The study, therefore, investigates the utility of helical milling for creating holes in Ti6Al4V alloy. The hole-making operations were appraised considering the chip morphology, microhardness, machining temperature, tool wear, and surface roughness. The findings show that hole-making using helical milling was beneficial since it produced lower thrust force. Measured temperatures during helical milling were significantly lower than in drilling. Helically milled holes displayed superior quality holes with lower surface roughness; however, at higher productivity conditions, chatter marks were noted. The microhardness was lower near the machined surface in the case of conventional drilling, indicating material softening. In comparison, helical milled holes displayed higher microhardness very close to the edge of the hole due to work hardening. The helical milling operation produced short discontinuous chips, which are desirable while machining Ti6Al4V alloy. Furthermore, the examination of the cutting tool showed material adhesion. The severity of tool damage was significantly lower during the helical milling operation. The initial assessment indicates that helical milling is an adept process for making holes in Ti6Al4V alloy.
Effect of Nb on Austenite Grain Growth in 10Cr-3Co-2W Martensitic Heat-Resistant Steel
Authors: Park Bong Cheon , Kim Sung-Dae , Park Ihho , Shin Jong-Ho , Jang Jae Hoon , Kang Namhyun
Published: June 2024

The effect of Nb on austenite grain growth kinetics was investigated in 10Cr-3Co-2W martensitic heat-resistant steel under various tempering conditions (temperature and time). The results demonstrate that Nb effectively refines the austenite grain size; this result is attributed to the combined effect of Nb atom solute drag effect and pinning effect of NbC precipitates. Based on the measured values, an empirical model was developed to predict the grain growth behavior of this alloy system. In addition, the key conditions and parameters for application to the microstructure evolution model of MatCalc software were derived. Results will enable the prediction of grain size at different Nb contents and temperature parameters, and provide useful information for designing heat treatment processes and alloys.

Graphic Abstract
You Can Lead an Adolescent to Mindfulness, but You Can’t Make Them Mindful
Authors: Johnson Catherine , Taylor Amanda , Dray Julia , Dunning Darren
Published: June 2024

Meta-analyses of mindfulness-based interventions (MBIs) in schools consistently show small, positive effects, but the field remains dominated by studies with low methodological rigour. Recent large randomised controlled trials in adolescents demonstrate poor traction in this age group together with some adverse effects, creating a crossroads for their future. In their recent commentary on the null effects of the MYRIAD trial (Kuyken et al., 2022), Strohmaier and Bailey (2023) postulated that making mindfulness practice available within the school day may increase the dosage and benefits of MBIs for adolescents, and called for funders to direct efforts at developing and testing this approach. We agree that identifying ways to increase dose beyond weekly classroom lessons is important, but explore whether this suggestion is practical or developmentally appropriate for secondary school settings. Our commentary broadens to group together other large and moderately large RCTs that have also shown disappointing results in adolescents, and presents seven barriers that together may be compounding the lack of effect in this age group. We offer alternative suggestions for future school-based research and delivery of MBIs.
Breast cancer stage and molecular subtype distribution: real-world insights from a regional oncological center in Hungary
Authors: Tittmann Judit , Ágh Tamás , Erdősi Dalma , Csanády Bettina , Kövér Erika , Zemplényi Antal , Kovács Sándor , Vokó Zoltán
Published: June 2024

Objective

Examining the distribution of breast cancer (BC) stage and molecular subtype among women aged below (< 45 years), within (45–65 years), and above (> 65 years) the recommended screening age range helps to understand the screening program's characteristics and contributes to enhancing the effectiveness of BC screening programs.

Methods

In this retrospective study, female patients with newly diagnosed BC from 2010 to 2020 were identified. The distribution of cases in terms of TNM stages, severity classes, and subtypes was analysed according to age groups.

Results

A total of 3282 women diagnosed with BC were included in the analysis. Among these cases 51.4% were detected outside the screening age group, and these were characterized by a higher TNM stage compared to those diagnosed within the screening age band. We observed significantly higher relative frequency of advanced BC in the older age group compared to both the screening age population and women younger than 45 years (14.9% vs. 8.7% and 7.7%, P < 0.001). HR−/HER2− and HER+ tumours were relatively more frequent among women under age 45 years (HR−/HER2−: 23.6%, HER2+: 20.5%) compared to those within the screening age range (HR−/HER2−: 13.4%, HER2+: 13.9%) and the older age group (HR−/HER2−: 10.4%, HER2+: 11.5%).

Conclusions

The findings of our study shed light on potential areas for the improvement of BC screening programs (e.g., extending screening age group, adjusting screening frequency based on molecular subtype risk status) in Hungary and internationally, as well.
Childhood Cancer Awareness Program in Bungoma County, Kenya
Authors: Klootwijk Larissa , Osamong Lilian Apadet , Langat Sandra , Njuguna Festus , Kimaiyo Sally , Vik Terry A. , Kaspers Gertjan , Mostert Saskia
Published: June 2024

Background

Awareness could play a key role in reducing underdiagnosis and accelerating referral of childhood cancer in low- and middle-income countries and ultimately improve outcomes. This study describes the implementation of a childhood cancer awareness program in Bungoma County in Kenya, containing five components: (1) baseline data collection of primary healthcare facilities; (2) live training session for healthcare providers (HCP); (3) early warning signs posters; (4) online SMS course for HCP; and (5) radio campaign.

Methods

This study was conducted between January and June 2023. All 144 primary healthcare facilities (level 2 and 3 health facilities) within Bungoma County were visited by the field team.

Results

All 125 level 2 (87%) and 19 level 3 (13%) facilities participated in the study. National Health Insurance Fund (NHIF) failed to cover services in 37 (26%) facilities. HCP were more often reported absent at level 3 (89%) than level 2 (64%) facilities (P = 0.034). The 144 live training sessions were attended by over 2000 HCP. Distribution of 144 early warning signs posters resulted in 50 phone calls about suspected childhood cancer cases. Sixteen children were later confirmed with childhood cancer and treated. Online SMS learning was completed by 890 HCP. Knowledge mean scores improved between pre-test (7.1) and post-test (8.1; P < 0.001). Finally, 540 radio messages about childhood cancer and a live question-and-answer session were broadcasted.

Conclusion

This study described the implementation of a childhood cancer awareness program in Kenya involving both HCP and the general public. The program improved HCP’s knowledge and increased the number of referrals for children with cancer.
Fiber Optic Vacuum Ultraviolet Sensor Based on an AlN-Microwire Probe
Authors: Wang Ying , Ye Jiahui , Ma Dingbang , Wang Peiyao , Li Baikui , Sun Zhenhua , Wu Honglei , Liao Changrui , Wang Yiping
Published: June 2024

Vacuum ultraviolet (VUV) light sensing shows great potential applications in the space science, materials, biophysics, and plasma physics. In this work, an all-optical detection method is proposed for VUV sensing by constructing an optical fiber-end Fabry-Pérot interferometer based on a single aluminum nitride (AlN) microwire. Compared with the traditional electrical devices, this all-optical detection method overcomes the difficulties like the fast response and electromagnetic interference immunity in detecting VUV bands at the present stage, and improves the response speed. The proposed device shows the excellent performance of VUV detection, with the static sensitivity of 1.03 nm/(W·cm−2), response rise time of down to 10 µs, and decay time of 0.64 ms. Beneficial from the excellent radiation resistance of AlN microwires and UV resistance of silica fibers, the proposed device is expected to have the good stability and potential applications in the fields of the solar physics and space exploration.
HPV-driven oncogenesis—much more than the E6 and E7 oncoproteins
Authors: Janiszewska J. , Kostrzewska-Poczekaj M. , Wierzbicka M. , Brenner J. C. , Giefing M.
Published: June 2024

High-risk human papillomaviruses are well-established drivers of several cancer types including cervical, head and neck, penile as well as anal cancers. While the E6 and E7 viral oncoproteins have proven to be critical for malignant transformation, evidence is also beginning to emerge suggesting that both host pathways and additional viral genes may also be pivotal for malignant transformation. Here, we focus on the role of host APOBEC genes, which have an important role in molecular editing including in the response to the viral DNA and their role in HPV-driven carcinogenesis. Further, we also discuss data developed suggesting the existence of HPV-derived miRNAs in HPV + tumors and their potential role in regulating the host transcriptome. Collectively, while recent advances in these two areas have added complexity to the working model of papillomavirus-induced oncogenesis, these discoveries have also shed a light onto new areas of research that will be required to fully understand the process.
School is not enough: The role of climate-specific knowledge for transformative climate policy and economic system preferences
Authors: Eichhorn Jan , Thomet Julian , Solaz Andrea Gimeno
Published: June 2024

Despite risen awareness of human-made climate change, there are still gaps in knowledge about the precise nature and the impact of the climate crisis for many people. This paper investigates to what extent factual knowledge about climate change is linked to publics’ policy preferences regarding climate crisis measures. It expands on existing research by widening the focus beyond climate-specific policy and also investigates whether knowledge about the crisis is connected to preferences for greater state involvement in the economy structurally. Comparing representative survey results from eight European countries and the USA, this paper shows that climate-specific knowledge is indeed strongly linked to both—while greater formal education does not show strong associations or is even linked to a preference for the status quo in some countries. Important cross-country variations and the implications of emphasising climate specific knowledge in advocacy and policy contexts are discussed to demonstrate how enhancing public knowledge could increase support for transformative climate policies and broader economic change.
A minimal free resolution of the duplication of a monomial ideal
Authors: Valencia Carlos E. , Molano David C. , Moreno Javier A.
Published: June 2024

This article explores a novel operation of a monomial ideal, termed duplication, which produces a monomial ideal $$I^\diamond $$

I
⋄

from another I. This operation is inspired by and generalizes how vertex duplication affects the edge ideal of a graph. The main result describes a multigraded minimal free resolution of $$I^\diamond $$

I
⋄

as long as we know a resolution for I. Consequently, we obtain formulas for the projective dimension and depth of $$I^\diamond $$

I
⋄

in terms of the corresponding invariants of I.
Stability and synchronization of octonion-valued neural networks with leakage and mixed delays on time scales
Authors: Popa Călin-Adrian
Published: June 2024

There has been a great deal of interest in the last few years for neural networks (NNs) with values in multidimensional domains. The most popular models are complex-valued neural networks (CVNNs), followed by quaternion-valued neural networks (QVNNs), and, more recently, by Clifford-valued neural networks (ClVNNs). However, also very recently, a different type of NNs were put forward, namely octonion-valued neural networks (OVNNs). OVNNs are defined on the 8D octonion algebra, and they are not a special type of ClVNNs, because Clifford numbers are associative, whereas octonions are not. Moreover, beside the complex and quaternion algebras, the only other normed division algebra over the reals is the algebra of octonions, which makes OVNNs a direct generalization of CVNNs and QVNNs from this point of view, raising interest for applications handling high-dimensional data. On the other hand, systems defined on time scales were proposed as a generalization of both discrete time and continuous time systems, or any type of hybrid combination between the two. Finally, time delays appear as a consequence of implementing NNs in real life circuits. Taking all these into consideration, this paper studies the fundamental properties of exponential stability and exponential synchronization for OVNNs with leakage and mixed delays defined on time scales. In order to avoid the problems raised by the non-associativity of the octonion algebra, the OVNN model is decomposed into a real-valued one. Then, two different Lyapunov-type functionals are defined and the particularities of time scale calculus are used in order to deduce sufficient conditions expressed as scalar and linear matrix inequalities (LMIs) for the exponential stability of the proposed models, based on Halanay-type inequalities suitable for time scale systems. Afterwards, a state feedback controller is used to deduce sufficient criteria given as scalar inequalities and LMIs for the exponential synchronization of the same type of models. The generality of the model, given by the definition on the algebra of octonions, the use of different types of delays, and the definition on time scales represent an important advantage. Also, for less general models, it is possible to particularize the obtained results. With the aim to demonstrate each of the paper’s four theorems, four numerical examples are provided.
Biochemical liver damage during gender affirming therapy in trans adults assigned female at birth: a meta-analysis
Authors: Tienforti D. , Savignano G. , Spagnolo L. , Di Giulio F. , Baroni M. G. , Barbonetti A.
Published: June 2024

Purpose

To assess the effects of testosterone (T)-based gender affirming hormone therapy (GAHT) on liver blood tests (LBTs) in assigned female at birth adults, using a meta-analytic approach.

Methods

Prospective and retrospective studies were selected that reported the prevalence of biochemical liver damage (BLD) and LBTs changes during T therapy. Data collected included pre-and-during therapy alanine-aminotransferase (ALT), aspartate-aminotransferase (AST), gamma-glutamyl-transferase (GGT), and alkaline phosphatase (ALP) mean concentration values.

Results

The prevalence of BLD in 14 studies on 1698 subjects was 1% (95% CI 0.00–3.00; I2 = 14.1%; p = 0.82). In 17 studies on 2758 subjects, GAHT was associated with a statistically (but not clinically) significant increase in AST, GGT and ALP at 12 months and ALT at 3–7 (MD: 1.19 IU/l; 95% CI 0.31, 2.08; I2: 0%), at 12 (MD: 2.31 IU/l; 95% CI 1.41, 3.21; I2: 29%), but with no more significant increase at 24 months (MD: 1.71 IU/l; 95% CI −0.02, 3.44; I2: 0%).

Conclusions

Analysis of aggregate estimates confirms a low risk of BLD and abnormalities in LBTs, transient in most cases, during T-based GAHT, thus suggesting a limited need for careful liver monitoring in AFAB people.
Management of deceased and living kidney donor with lithiasis: a multicenter retrospective study on behalf of the renal transplant group of the Spanish urological association
Authors: Sierra Alba , Etcheverry Begoña , Alvarez-Maestro Mario , López Juan Manuel , Fiol Maria , Torrecilla Carlos , Vigués Francesc , Martínez Carmen , Carbonell Enric , Martinez-Perez Salvador , Alcaraz Antonio , Luque Maria Pilar , Musquera Mireia
Published: June 2024

Background

To maximize the availability of suitable grafts and ensure effective management, several reports have demonstrated successful outcomes when using kidney grafts with urolithiasis. This multicenter study reports on the management and long-term outcomes of kidney transplantation using renal grafts with lithiasis.

Methods

Retrospective data from three Spanish hospitals were analyzed for kidney transplants involving grafts with nephrolithiasis performed between December 2009 and August 2023. The study included adult patients, excluding those with incomplete records. It evaluated stone characteristics, complications, and outcomes in recipients and in living kidney donors.

Results

Out of 38 analyzed kidney transplants, 57.9% were cadaveric and 42.1% were from living kidney donors. Most diagnoses were incidental during donor evaluation, with an average stone size of 7.06 mm. After follow-up (median 26 months), all recipients but one had functioning grafts, and there were no stone recurrences in both recipients and living kidney donors. Conservative management was adopted in 28 cases, while 10 cases required ex-vivo flexible ureterorenoscopy for stone removal. Following conservative management, 5 patients needed additional treatments for stone-related events.

Conclusions

Kidneys with lithiasis can be considered for transplantation in selected cases, resulting in good functional outcomes with no stone recurrence in recipients or living donors.

Graphical Abstract
Evidence-Based Crossword Puzzles for Health Professions Education: A Systematic Review
Authors: Arnold Matthew , Tan Sheryn , Pakos Tiani , Stretton Brandon , Kovoor Joshua , Gupta Aashray , Thomas Josephine , Bacchi Stephen
Published: June 2024

Abstractdata

Crossword puzzles have been utilised as a means of health professions education (HPE) gamification. A systematic review conducted in accordance with PRISMA guidelines was performed to evaluate the educational impact and describe the characteristics of crosswords in HPE contexts. Twenty-nine studies fulfilled inclusion criteria. Crossword puzzles are an enjoyable learning activity and provide positive educational impact. The available evidence suggests crossword puzzles increase student knowledge on objective measures.
Going P(u)BLIQ: Successfully Transitioning Undergraduate Medical Students from Problem-Based Learning to Inquiry Case Learning Through a Novel Hybrid Approach
Authors: Griffin Daniel P. , Ortega Maria , O’Malley Chasity B.
Published: June 2024

Purpose

Problem-based learning (PBL) is an established learning method in medical education that uses small groups to address a “problem” in the form of a patient’s medical condition. Compared to lectures, there is compelling evidence that PBL performs better in numerous areas including student basic knowledge and satisfaction. Inquiry case (IQ) learning is a modified form of PBL, which can be described as faster-paced and requires more student responsibility. Here, a novel strategy to transition students from the PBL to IQ format is introduced that can be adopted by other programs engaging in PBL.

Method

Students already engaged in PBL were introduced to the IQ format through participation in a series of hybrid PBL/IQ cases. A voluntary, anonymous survey about the hybrid system was conducted with two cohorts of students. The timing of the survey was after engaging in IQ learning following completion of the PBL/IQ hybrid system.

Results

Eighty-seven of the 103 (84.47%) students completed the survey. Regarding the approach to IQ learning, students in a leader position (66.28%, n = 57) used journal articles as resources more than non-leaders (54.65%, n = 47) (p < 0.05). Qualitative data analysis provided insights into the biggest challenges students face as IQ learning leaders (activity creation (40%, n = 52/130 responses)) and non-leaders (level of preparedness (46%, n = 37/80 responses)). Survey responses also reported the positive impact the PBL/IQ hybrid system had on their success in IQ learning.

Conclusions

This PBL/IQ hybrid method addresses the biggest challenges faced in the IQ format as leaders and non-leaders, including preparedness, time management within the sessions and in preparing for the sessions, and creating the learning experience for the second day of cases. Additionally, the hybrid approach assisted students with their transition to increased student responsibilities in the IQ format, while allowing them to develop successful strategies for success in IQ learning.
Complete area-coverage path planner for surface cleaning in hospital settings using mobile dual-arm robot and GBNN with heuristics
Authors: Wan Ash Yaw Sang , Yi Lim , Hayat Abdullah Aamir , Gen Moo Chee , Elara Mohan Rajesh
Published: June 2024

Complete area-coverage path planners are essential for robots performing tasks like cleaning, inspection, and surveying. However, they often involve complex calculations, mapping, and determining movement directions, leading to high computational or processing overheads and the risk of deadlocks. This paper proposes an approach for cleaning, i.e., by linear wiping of generic and discontinuous surfaces in hospital settings using inhouse assembled mobile dual-arm (MDA) robotic system. The proposed framework introduces key features: (a) a less resource-intensive approach for MDA positioning and cleaning surface mapping, (b) Modified Glasius Bioinspired Neural Network through use of heuristics (GBNN+H) to optimize surface linear wiping while obstacle avoidance, and traversal across discontinuous surfaces. The advantages of the proposed algorithm are highlighted in simulation with GBNN+H significantly reduces the number of steps and flight time required for complete coverage compared to existing algorithms. The proposed framework is also experimentally demonstrated in a hospital setting, paving the way for improved automation in cleaning and disinfection tasks. Overall, this work presents a generic and versatile, applicable to various surface orientations and complexities.
An adaptive trimming approach to Bayesian additive regression trees
Authors: Cao Taoyun , Wu Jinran , Wang You-Gan
Published: June 2024

A machine learning technique merging Bayesian method called Bayesian Additive Regression Trees (BART) provides a nonparametric Bayesian approach that further needs improved forecasting accuracy in the presence of outliers, especially when dealing with potential nonlinear relationships and complex interactions among the response and explanatory variables, which poses a major challenge in forecasting. This study proposes an adaptive trimmed regression method using BART, dubbed BART(Atr) to improve forecasting accuracy by identifying suspected outliers effectively and removing these outliers in the analysis. Through extensive simulations across various scenarios, the effectiveness of BART(Atr) is evaluated against three alternative methods: default BART, robust linear modeling with Huber’s loss function, and data-driven robust regression with Huber’s loss function. The simulation results consistently show BART(Atr) outperforming the other three methods. To demonstrate its practical application, BART(Atr) is applied to the well-known Boston Housing Price dataset, a standard regression analysis example. Furthermore, random attack templates are introduced on the dataset to assess BART(Atr)’s performance under such conditions.
DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck
Authors: Wang Yang , Zheng Yunfei , Chen Lei , Yang Zhen , Cao Tieyong
Published: June 2024

Significant structural differences in DNN-based object detectors hinders the transferability of adversarial attacks. Studies show that intermediate features extracted by the detector contain more model-independent information, and disrupting these features can enhance attack transferability across different detectors. However, the challenge lies in selecting crucial features that impact detection from redundant intermediate features. To address this issue, we introduce the Deep information bottleneck universal adversarial perturbation (DIB-UAP). DIB-UAP utilizes the deep information bottleneck to establish a link between intermediate features and model output, extracting crucial intermediate features and disrupting them to generate UAP with strong attack transferability. Additionally, we propose a data augmentation method, Scale & Tile, which effectively enhances the attack performance of UAP on medium and large-scale objects. Testing on two benchmark datasets with eight comparative methods across four black-box mainstream detectors has confirmed the attack transferability of DIB-UAP. Furthermore, practical utility validation of DIB-UAP has been conducted on a commercial object detection platform.
Moboa: a proposal for multiple objective bean optimization algorithm
Authors: Xie Lele , Lu Xiaoli , Liu Hang , Hu Yongqiang , Zhang Xiaoming , Yang Shangshang
Published: June 2024

The primary objective of multi-objective evolutionary algorithms (MOEAs) is to find a set of evenly distributed nondominated solutions that approximate the Pareto front (PF) of a multi-objective optimization problem (MOP) or a many-objective optimization problem (MaOP). This implies that the approximated solution set obtained by MOEAs should be as close to PF as possible while remaining diverse, adhering to criteria of convergence and diversity. However, existing MOEAs exhibit an imbalance between achieving convergence and maintaining diversity in the objective space. As far as the diversity criterion is concerned, it is still a challenge to achieve an evenly distributed approximation set with different sizes for a problem with a complicated PF shape. Furthermore, Pareto dominance has its own weaknesses as the selection criterion in evolutionary multiobjective optimization. Algorithms based on Pareto criterion (PC) can suffer from problems such as slow convergence to the optimal front and inferior performance on problems with many objectives. To effectively address these challenges, we propose a multi-objective bean optimization algorithm (MOBOA). Given that the selection of parent species, representing global optimal solutions, directly influences the convergence and diversity of the algorithm, MOBOA incorporates a preference order equilibrium parent species selection strategy (POEPSS). By extending the Pareto criterion with the preference order optimization criterion, the algorithm effectively enhances parent species selection pressure across multiple objectives. To balance convergence and diversity, MOBOA proposes a multi-population global search strategy explicitly maintaining an external archive during the search process. Leveraging the inherent multi-population advantages of bean optimization algorithm (BOA), the algorithm facilitates information sharing among the main population, auxiliary populations, and historical archive solution sets. Additionally, a diversity enhancement strategy is employed in the environmental selection stage, introducing the environmental selection strategy of the SPEA2 algorithm to generate a set of evenly distributed nondominated solutions. Experimental results on a series of widely used MOPs and MaOPs demonstrate that the proposed algorithm exhibits higher effectiveness and competitiveness compared to state-of-the-art algorithms.
Axial Symmetry in Primary School Through a Milieu Based on Visual Programming
Authors: Crisci Rosamaria , Dello Iacono Umberto , Ferrara Dentice Eva
Published: June 2024

This paper outlines the design and application of a didactic sequence aimed at facilitating primary students’ understanding of axial symmetry, utilizing a combination of digital artefacts and paper tasks. We wondered to what extent the designed didactic sequence is able to make primary school students formulate and validate effective programming strategies to construct symmetrical images with respect to an axis and identify the key properties of axial symmetry. Data analysis from a study carried out with fifth-grade students shows a link between the evolution of students’ programming strategies and the construction of mathematical knowledge related to the definition of axial symmetry. The digital artefact and the paper tasks were effective in bringing out programming strategies and some of the key properties of axial symmetry. However, the designed didactic sequence was not enough to allow students to identify all properties related to axial symmetry, and a subsequent intervention by the teacher was necessary. The results of the experimentation led us to expand the paper tasks with additional questions for students.
Multiscale Mechanical Modeling of Skeletal Muscle: A Systemic Review of the Literature
Authors: Loumeaud Aude , Pouletaut Philippe , Bensamoun Sabine F. , George Daniel , Chatelin Simon
Published: June 2024

Purpose

From the myofibrils to the whole muscle scale, muscle micro-constituents exhibit passive and active mechanical properties, potentially coupled to electrical, chemical, and thermal properties. Experimental characterization of some of these properties is currently not available for all muscle constituents. Multiscale multiphysics models have recently gained interest as a numerical alternative to investigate the healthy and diseased physiological behavior of the skeletal muscle.

Methods

This paper refers to the multiscale mechanical models proposed in the literature to investigate the mechanical properties and behavior of skeletal muscles. More specifically, we focus on the scale transition methods, constitutive laws and experimental data implemented in these models.

Results

Using scale transition methods such as homogenization, coupled to appropriate constitutive behavior of the constituents, these models explore the mechanisms of ageing, myopathies, sportive injuries, and muscle contraction.

Conclusion

Emerging trends include the development of multiphysics simulations and the coupling of modeling with the acquisition of experimental data at different scales, with increasing focus to little known constituents such as the extracellular matrix and the protein titin.