bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assistive Robotics Needs for Older Care: Using Authentic Citations to Bridge the Gap between Understanding Older Persons’ Needs and Defining Solutions
Authors: Veling Louise , Villing Rudi 
Published: March 2024

AbstractDeveloping an authentic understanding of potential users’ needs and translating these into usable categories as an input to research and development is an open problem. It is generally accepted that genuine knowledge of user needs is essential for the creation of any new technology. For assistive robots, however, this knowledge is even more important for two key reasons. First, because the form and function of these technologies is still in the process of negotiation, and second, because assistive robots are ultimately intended for a vulnerable population. In this paper, we describe a number of existing strategies to address this challenge and discuss some of their shortcomings, including a loss of data richness and context, the stereotyping of users and a lack of transparency and traceability. The primary contribution of this paper is a novel Authentic Citations process for capturing needs which aims to address these shortcomings. This process involves a thematic analysis of complex qualitative data to derive robotics needs for older people, which emphasises the retention of the original situated description, or ‘authentic citation’, for ongoing sensitising and grounding at all stages of the research and development cycle, and by various stakeholders. The Authentic Citations process adds additional rigour to a process that can be tacit and opaque and can be used by robotics researchers to analyse and translate qualitative research into usable categories. An additional contribution of this paper is an initial outline of a taxonomy of assistive robotics needs for older people, which contributes to improving the understanding of the user as a situated and complex person and can be used as an input to design.
Promising Directions: A Systematic Review of Psychosocial and Behavioral Interventions with Cultural Incorporation for Advanced and Metastatic Cancer
Authors: Llave Karen , Cheng Karli K. , Ko Amy , Pham Annie , Ericson Marissa , Campos Belinda , Perez-Gilbe Hector R. , Kim Jacqueline H. J. 
Published: March 2024

Abstract
Background
Improving quality of life (QOL) in advanced and metastatic cancer is a priority with increasing survivorship. This systematic review synthesizes psychosocial and behavioral interventions incorporating culture with the goal of examining their benefit for understudied and medically underserved populations with advanced and metastatic cancer.

Method
Reports were systematically screened for (1) a focus on advanced and metastatic cancer survivors, (2) psychosocial or behavioral intervention intended to improve QOL, (3) evidence of incorporating the culture(s) of understudied/underserved populations, and (4) availability in English. Bias was evaluated using the JBI Critical Appraisal Checklist and the Methodological index for non‐randomized studies. Qualitative synthesis and quantitative meta-analyses were completed.

Results
Eighty-six reports containing 5981 participants’ data were examined. Qualitative synthesis of 23 studies identified four overarching themes relevant for incorporating culture in interventions. Meta-analysis of 19 RCTs and 4 quasi-experimental studies containing considerable heterogeneity indicated greater improvements in QOL (g = 0.84), eudaimonic well-being (g = 0.53), distress (g = −0.49), and anxiety (g = −0.37) for main intervention conditions compared to controls. Meta-analysis of 10 single-arm trials containing minimal to moderate heterogeneity found benefit for anxiety (g = −0.54), physical symptoms (g = −0.39), and depression (g = −0.38).

Conclusion
Psychosocial and behavioral interventions with cultural incorporation appear beneficial for improving QOL-related outcomes in advanced and metastatic cancer. Studies incorporating culture in psychosocial or behavioral interventions offer noteworthy insight and suggestions for future efforts such as attending to deep cultural structure.
Optical solitons for the dispersive concatenation model with power law of self-phase modulation and multiplicative white noise
Authors: Arnous Ahmed H. , Biswas Anjan , Yildirim Yakup , Rawal Bharat S. , Alshomrani Ali Saleh 
Published: March 2024

AbstractThis paper recovers optical solitons to the newly proposed dispersive concatenation model that comes with power law of self-phase modulation. The presence of white noise in the Itô sence makes the model stochastic. Two integration approaches retrieve bright and singular optical solitons. The intermediary Weierstrass’ elliptic functions are implemented for this retrieval. It has been established that the effect of white noise stays confined to the phase component of the solitons.
Contamination of urban soils in a historical mining town of northern Chile
Authors: García D. , Tapia J. , Aguilera J. , Vega C. , Zúñiga P. , Lavin P. , Rojas L. , Valdés J. 
Published: March 2024

AbstractIn northern Chile, economic activities related to mining and thermoelectric energy have existed in the city of Tocopilla since the early 1900s and metal concentrations in soils have likely been altered by historic anthropogenic activities. To assess the concentrations of Cu, Zn, Pb, Ni, Co, and Cr in urban soils of Tocopilla, a total of 70 superficial (2 cm) and 70 deep (20 cm) soil samples were collected in 2014. Furthermore, to analyze concentration changes in soils over time, 18 superficial (5 cm) samples were collected in 2020–2021. A numerical evaluation (geoaccumulation index, and enrichment factor), principal component analysis, and spatial distribution approach were applied to infer geogenic and anthropogenic influence on the concentrations of these elements. The main conclusions of this research indicate that urban soils of Tocopilla contain geogenic Cu, Zn, Pb, Ni, Co and Cr. However, elevated concentrations of Cu, Zn, and Pb cannot be attributed to a geogenic origin alone, as a proportion of their enrichment is considered to be anthropogenically sourced. The contamination of anthropogenic elements has been found to be related to historic copper mining and thermoelectric energy production. Furthermore, when compared to other sites globally, median concentrations of Cu (945 mg/kg in 2014 and 823 mg/kg in 2020) and Zn (305 mg/kg in 2014 and 196 mg/kg in 2020) in superficial urban soils are among the highest worldwide. Regarding 2020–2021 sampling, Zn and Pb concentrations have increased, while Cu, Cr, Co, and Ni have remained similar to the 2014 samples.
Freedom from interference: Decisional privacy as a dimension of consumer privacy online
Authors: Bjørlo Lena V. 
Published: March 2024

AbstractThe introduction of AI-based technologies has dramatically altered the premises for consumer privacy, enabling the unprecedented manipulation of consumers’ decision-making online. Given these recent threats to consumer privacy and autonomy, and considering autonomy as the ultimate outcome of privacy, I propose that a reconceptualization is warranted to reflect contemporary consumer privacy challenges and to realign the concept with its theoretical foundations. To this end, I introduce the dimension of decisional privacy, focused on autonomy versus interference in consumer decision-making. Building on previous privacy literature and extending previous theorizing about information privacy and decisional privacy as complementary, I posit that these two dimensions of privacy together comprise consumer privacy. Addressing protection from interference as an under-communicated function of consumer privacy, the paper aims to clarify, exemplify, and engage in the conceptual development of decisional privacy in the context of consumer decision-making online. In addition to its significance for consumer wellbeing and democracy collectively, the extension of consumer privacy to explicitly encompass interference has theoretical implications for privacy concern, the proxy used to measure privacy, yielding important insights for marketing scholars and practitioners.
Imiquimod nanocrystal-loaded dissolving microneedles prepared by DLP printing
Authors: Petrová Eliška , Chvíla Stanislav , Štěpánek František , Zbytovská Jarmila , Lamprou Dimitrios A. 
Published: March 2024

AbstractThe utilization of 3D printing– digital light processing (DLP) technique, for the direct fabrication of microneedles encounters the problem of drug solubility in printing resin, especially if it is predominantly composed of water. The possible solution how to ensure ideal belonging of drug and water-based printing resin is its pre-formulation in nanosuspension such as nanocrystals. This study investigates the feasibility of this approach on a resin containing nanocrystals of imiquimod (IMQ), an active used in (pre)cancerous skin conditions, well known for its problematic solubility and bioavailability. The resin blend of polyethylene glycol diacrylate and N-vinylpyrrolidone, and lithium phenyl-2,4,6-trimethylbenzoylphosphinate as a photoinitiator, was used, mixed with IMQ nanocrystals in water. The final microneedle-patches had 36 cylindrical microneedles arranged in a square grid, measuring approximately 600 μm in height and 500 μm in diameter. They contained 5wt% IMQ, which is equivalent to a commercially available cream. The homogeneity of IMQ distribution in the matrix was higher for nanocrystals compared to usual crystalline form. The release of IMQ from the patches was determined ex vivo in natural skin and revealed a 48% increase in efficacy for nanocrystal formulations compared to the crystalline form of IMQ.
Graphical Abstract
Integrative analysis of homologous recombination repair patterns unveils prognostic signatures and immunotherapeutic insights in breast cancer
Authors: Li Yan-Shuang , Jiang Hong-Chuan 
Published: March 2024

AbstractGlobally, breast cancer (BC) is the leading cause of female death and morbidity. Homologous recombination repair (HRR) is critical in BC. However, the prognostic role and immunotherapy response of HRR in BC remains to be clarified. Firstly, we identified HRR types in BC samples from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) dataset (GSE42568) based on 65 HRR genes (HRRGs). A differentially expressed gene (DEG) list for different HRR types was generated. Then, the influences of gene sets composed of these DEGs on biological pathways and BC prognosis were explored. Next, we identified gene clusters based on gene sets composed of DEGs. Genes associated with prognosis for DEGs were identified using univariate Cox regression. Finally, the HRR score was constructed based on genes associated with prognosis. We analyzed how HRR score correlates with tumor mutation burden (TMB), immune cell infiltration (ICI), and immunotherapy response. Three HRR clusters were discovered. HRR subtype A demonstrated decreased infiltration and a high number of immunosuppressive cells with a poor prognosis. DEGs among various HRR types were predominantly enriched in cell cycle and genomic stability-related pathways. The prognostic model based on sixteen DEGs accurately predicted BC prognosis. The HRRGs were differentially expressed in three DEG clusters. TMB, ICI, and immunotherapy responses differed significantly between the high and low HRR groups (HSG, LSG). The HSG was distinguished by a high degree of ICI and low TMB. LSG had a better response to anti-PD-1 or anti-PD-1 and anti-CTLA4 combination therapy. This work revealed that HRR patterns would contribute to predicting prognosis and immunotherapy response in BC, which may benefit patients.
RNA-Seq time-course analysis of neural precursor cell transcriptome in response to herpes simplex Virus-1 infection
Authors: Wood Joel A. , Chaparala Srilakshmi , Bantang Cecilia , Chattopadhyay Ansuman , Wesesky Maribeth A. , Kinchington Paul R. , Nimgaonkar Vishwajit L. , Bloom David C. , D’Aiuto Leonardo 
Published: March 2024

AbstractThe neurogenic niches within the central nervous system serve as essential reservoirs for neural precursor cells (NPCs), playing a crucial role in neurogenesis. However, these NPCs are particularly vulnerable to infection by the herpes simplex virus 1 (HSV-1). In the present study, we investigated the changes in the transcriptome of NPCs in response to HSV-1 infection using bulk RNA-Seq, compared to those of uninfected samples, at different time points post infection and in the presence or absence of antivirals. The results showed that NPCs upon HSV-1 infection undergo a significant dysregulation of genes playing a crucial role in aspects of neurogenesis, including genes affecting NPC proliferation, migration, and differentiation. Our analysis revealed that the CREB signaling, which plays a crucial role in the regulation of neurogenesis and memory consolidation, was the most consistantly downregulated pathway, even in the presence of antivirals. Additionally, cholesterol biosynthesis was significantly downregulated in HSV-1-infected NPCs. The findings from this study, for the first time, offer insights into the intricate molecular mechanisms that underlie the neurogenesis impairment associated with HSV-1 infection.
Effect of Carbon Nanotube Reinforcement on Creep and Recovery Behavior of Additively Manufactured Polymers: An Experimental and Prediction Study
Authors: Feratoğlu Kamil , İstif İlyas , Gümüş Ömer Yunus , Türkeş Erol 
Published: March 2024

AbstractIn this study, one of the most frequently used polymeric materials in fused deposition modeling (FDM) acrylonitrile butadiene styrene (ABS) is reinforced with different amount of carbon nanotubes (CNTs). Thermogravimetric analysis and differential scanning calorimetry analysis are applied to examine thermal degradation behavior of produced nanocomposite filaments. Specimens are manufactured by fused deposition modeling by using produced nanocomposite filaments. Tensile, creep and viscoelastic-viscoplastic behaviors of FDM-printed nanocomposite samples are investigated by conducting tensile, creep and loading–unloading tests under different strain rates and strain levels. Morphology of 3D printed samples is examined through scanning electron microscopy. Void densities which plays important role in mechanical behavior of additively manufactured samples are determined via ImageJ and CNT reinforcement on void densities are investigated. Data obtained from tests are used in system identification process, and multi-input–single-output model structures are proposed for the prediction of tensile, creep and recovery behaviors of 3D printed nanocomposite materials.
‘Teaching up’ at school and home: young people’s contemporary gender perspectives
Authors: Smith Erika K. , Robinson Kerry H. 
Published: March 2024

AbstractThis paper explores young people’s understandings of gender and investigates their gender-based experiences in high schools in Australia. The discussion is based on qualitative research including focus groups and interviews with 47 recent high school leavers from diverse linguistic, socioeconomic, religious, ethnic, gender and sexuality backgrounds, who attended a broad range of high school types in New South Wales (NSW). We found that young people are critically engaging in gender issues and are often challenging binary gender and associated inequitable practices in schools and beyond. They are taking a leading role in educating adults about gender—that is, they are ‘teaching up’, as young people conceptualised it, to their families and teachers about gender, gender-related issues and doing gender differently in contemporary times. Their views on gender are often in contrast to those institutional views that currently prevail in NSW schools, which often still reflect stereotypes that perpetuate gender inequalities.
Near-Circularity in Capacity and Maximally Convergent Polynomials
Authors: Blatt Hans-Peter 
Published: March 2024

AbstractIf f is a power series with radius R of convergence, $$R > 1$$

R
>
1

, it is well-known that the method of Carathéodory–Fejér constructs polynomial approximations of f on the closed unit disk which show the typical phenomenon of near-circularity on the unit circle. Let E be compact and connected and let f be holomorphic on E. If $$\left\{ p_n\right\} _{n\in \mathbb {N}}$$

p
n

n
∈
N

is a sequence of polynomials converging maximally to f on E, it is shown that the modulus of the error functions $$f-p_n$$

f
-

p
n

is asymptotically constant in capacity on level lines of the Green’s function $$g_\Omega (z,\infty )$$

g
Ω

(
z
,
∞
)

of the complement $$\Omega $$
Ω
of E in $$\overline{\mathbb {C}}$$

C
¯

with pole at infinity, thereby reflecting a type of near-circularity, but without gaining knowledge of the winding numbers of the error curves with respect to the point 0.
Asymptotic preserving methods for quasilinear hyperbolic systems with stiff relaxation: a review
Authors: Boscarino Sebastiano , Russo Giovanni 
Published: March 2024

AbstractHyperbolic systems with stiff relaxation constitute a wide class of evolutionary partial differential equations which describe several physical phenomena, ranging from gas dynamics to kinetic theory, from semiconductor modeling to traffic flow. Peculiar features of such systems is the presence of a small parameter that determines the smallest time scale of the system. As such parameter vanishes, the system relaxes to a different one with a smaller number of equations, and sometime of a different mathematical nature. The numerical solution of such systems may present some challenges, in particular if one is interested in capturing all regimes with the same numerical method, including the one in which the small parameter vanishes (relaxed system). The design, analysis and application of numerical schemes which are robust enough to solve this class of systems for arbitrary value of the small parameter is the subject of the current paper. We start presenting different classes of hyperbolic systems with relaxation, illustrate the properties of implicit–explicit (IMEX) Runge–Kutta schemes which are adopted for the construction of efficient methods for the numerical solution of the systems, and then illustrate how to apply IMEX schemes for the construction of asymptotic preserving schemes, i.e. scheme which correctly capture the behavior of the systems even when the relaxation parameter vanishes.
The prevalence and co-existence of geriatric syndromes in older patients with dementia compared to those without dementia
Authors: Soysal Pinar , Smith Lee 
Published: March 2024

Abstract
Background
This study aims to compare frequency and coexistence of geriatric syndromes in older patients with dementia to those without dementia.

Methods
1392 patients admitted to geriatric outpatient clinics were evaluated. Evaluations for eleven geriatric syndromes including polypharmacy, malnutrition, fraility, sarcopenia, dysphagia, urinary incontinence, fear of falling, falls, insomnia, excessive daytime sleepiness, and orthostatic hypotension (OH) were carried out in consultation with the patient and the caregiver. Two groups with and without dementia were matched according to age and gender using the propensity score matching method.

Results
A total of 738 patients, 369 with dementia and 369 without dementia were included, of whom 70.1% were female and the mean age was 80.5 ± 6.8. Polypharmacy, malnutrition, frailty, sarcopenia, dysphagia, fear of falling, and excessive daytime sleepiness were significantly higher in patients with dementia (p < 0.05). There was no difference between OH, urinary incontinence and insomnia between groups (p > 0.05). The co-existence of 0, 1, 2, 3, 4 and ≥ 5 geriatric syndromes in the same patient was 4.3%, 10.2%, 11.8%, 16.8%, 13.4% and 43.7% in non-dementia patients, respectively; 2.4%, 7.2%, 9.6%, 8.3%, 10.4% and 62.1% in those with dementia, respectively (p < 0.05).

Conclusion
The presence and co-existence of geriatric syndromes is common in patients with dementia. These geriatric syndromes should be examined by clinicians and healthcare professionals who work with the demented population, so that more successful management of dementia patients may be achieved.
Human face identification after plastic surgery using SURF, Multi-KNN and BPNN techniques
Authors: Sabharwal Tanupreet , Gupta Rashmi 
Published: March 2024

AbstractFacial identification for surgical and non-surgical datasets is getting popular. The reason behind this popularity is the growing need of a robust facial recognition system which is consistent to occlusion, spoofing attacks and last but most important plastic surgery effects. Plastic therapies are undertaken by individuals to beautify their external appearance but it is also undertaken by impostors to commit crimes and falsify their true identities. This research work aims at developing a facial recognition system which can identify genuine and impostor pairs. The projected methodology optimizes face detection via Back-Propagation Neural Network (BPNN) and dimensionality reduction by means of Speeded Up Robust Features followed by Multi-K-Nearest-Neighbor technique. The novelty is the production of an innovative-fangled T-Database which trains the BPNN. Thus, BPNN converges faster and achieves higher recognition. The proposed scheme is not applied till date on a medically altered dataset. We have applied five distance metrics and integrated them to acquire T-Dataset, which is fed to the BPNN. This scheme is tested on surgical and non-surgical datasets and it is deduced that higher recognition is achieved with non-surgical databases as compared to surgical ones. For both surgical and non-surgical datasets, the computational cost attained is the modest.
Elastocaloric Effect in Shape-Memory Alloys
Authors: Mañosa Lluís , Planes Antoni 
Published: March 2024

AbstractIt is widely acknowledged that shape-memory alloys have an enormous potential for future developments of an environmentally friendly new solid-state refrigeration technology, thanks to their excellent elastocaloric properties. In the present review paper, after a brief summary of the historical milestones that have led to the present state-of-the-art of the subject of elastocaloric effect and materials, we develop its thermodynamic bases and review recent advances of the elastocaloric effect in non-magnetic and magnetic shape-memory alloys. We show that in this last family of alloys, multicaloric effects can occur induced by the combination of mechanical and magnetic fields and that this possibility might open new avenues for applications.
Evaluation of Penetration Resistance of Soils Reinforced with Geosynthetics Using CBR Tests
Authors: Carlos D. M. , Pinho-Lopes M. , Lopes M. L. 
Published: March 2024

AbstractThe application of geosynthetics in roads, paved or unpaved, can extend the service life of pavements, reduce base course thickness and delay rutting development, as well as reinforce weak subgrade layers, the base–subgrade interface, or the base layer. Regarding the application of geosynthetics in roads, this paper uses laboratory CBR tests to investigate how geosynthetics can improve the penetration resistance of two site-won soils (coarse and fine), analysing the influence of several parameters. The test conditions influenced unreinforced and reinforced specimens similarly. The CBR test captured the beneficial effect of the inclusion of one reinforcement layer for both soils. However, when the coarse soil was reinforced with two or more layers of sheet reinforcements, the limitations of the CBR test had a significant impact on the test results. The lateral walls of the mould and the reinforcement layout may lead to misleading results in the CBR tests. These conclusions were qualitatively corroborated by comparisons with the stress–strain behaviour from triaxial tests. Considering its popularity in the design of roads, and to address limitations of the CBR test, a modified setup to carry out CBR tests of reinforced soil solutions is proposed. This setup aims to ensure that the reinforcement mechanisms mobilised during the CBR test are realistic.