bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facets of optically and magnetically induced heating in ferromagnetically doped-NaYF4 particles
Authors: Chakraborty Snigdhadev , Nalupurackal Gokul , Gunaseelan M , Roy Srestha , Lokesh Muruga , Goswami Jayesh , Datta Priyankan , Sinha Mahapatra Pallab , Roy Basudev 
Published: June 2023

Abstract
Upconverting particles like Yb and Er-doped NaYF4 are known to heat up after illumination with light at pump wavelength due to inefficient upconversion processes. Here we show that NaYF4 particles which have been co-doped not only with Yb and Er but also Fe improves the photothermal conversion efficiency. In addition, we show for the first time that alternating magnetic fields also heat up the ferromagnetic particles. Thereafter we show that a combination of optical and magnetic stimuli significantly increases the heat generated by the particles.
A generalized scattering theory in quantum mechanics
Authors: Wang Huai-Yu 
Published: June 2023

Abstract
In quantum mechanics textbooks, a single-particle scattering theory is introduced. In the present work, a generalized scattering theory is presented, which can be in principle applied to the scattering problems of arbitrary number of particle. In laboratory frame, a generalized Lippmann-Schwinger scattering equation is derived. We emphasized that the derivation is rigorous, even for treating infinitesimals. No manual operation such as analytical continuation is allowed. In the case that before scattering N particles are plane waves and after the scattering they are new plane waves, the transition amplitude and transition probability are given and the generalized S matrix is presented. It is proved that the transition probability from a set of plane waves to a new set of plane waves of the N particles equal to that of the reciprocal process. The generalized theory is applied to the cases of one- and two-particle scattering as two examples. When applied to single-particle scattering problems, our generalized formalism degrades to that usually seen in the literature. When our generalized theory is applied to two-particle scattering problems, the formula of the transition probability of two-particle collision is given. It is shown that the transition probability of the scattering of two free particles is identical to that of the reciprocal process. This transition probability and the identity are needed in deriving Boltzmann transport equation in statistical mechanics. The case of identical particles is also discussed.
Social media and volunteer rescue requests prediction with random forest and algorithm bias detection: a case of Hurricane Harvey
Authors: Mihunov Volodymyr V , Wang Kejin , Wang Zheye , Lam Nina S N , Sun Mingxuan 
Published: June 2023

Abstract
AI fairness is tasked with evaluating and mitigating bias in algorithms that may discriminate towards protected groups. This paper examines if bias exists in AI algorithms used in disaster management and in what manner. We consider the 2017 Hurricane Harvey when flood victims in Houston resorted to social media to request for rescue. We evaluate a Random Forest regression model trained to predict Twitter rescue request rates from social-environmental data using three fairness criteria (independence, separation, and sufficiency). The Social Vulnerability Index (SVI), its four sub-indices, and four variables representing digital divide were considered sensitive attributes. The Random Forest regression model extracted seven significant predictors of rescue request rates, and from high to low importance they were percent of renter occupied housing units, percent of roads in flood zone, percent of flood zone area, percent of wetland cover, percent of herbaceous, forested and shrub cover, mean elevation, and percent of households with no computer or device. Partial Dependence plots of rescue request rates against each of the seven predictors show the non-linear nature of their relationships. Results of the fairness evaluation of the Random Forest model using the three criteria show no obvious biases for the nine sensitive attributes, except that a minor imperfect sufficiency was found with the SVI Housing and Transportation sub-index. Future AI modeling in disaster research could apply the same methodology used in this paper to evaluate fairness and help reduce unfair resource allocation and other social and geographical disparities.
Seasonal effects on blue-green space preferences: examining spatial configuration and residents’ perspectives
Authors: Ma Fengdi 
Published: June 2023

Abstract
Urban blue-green spaces offer numerous environmental and social benefits to human beings. As these spaces vary by season, residents’ preferences may also change. However, the seasonal differences in preferences and the factors influencing waterfront degree preferences in different seasons remain unclear. This study employs space syntax theory to measure the configurational attributes of blue-green spaces in Changhe Park, Dezhou, China, and utilizes a four-section questionnaire to investigate residents’ preferences. The methods applied in this research include convex analysis, Mann-Whitney U test, and Spearman’s rho correlation analysis. The main findings are fourfold: (1) park users predominantly consist of older, less educated, and lower-income individuals; (2) blue spaces have higher choice values than green spaces; (3) season significantly impacts waterfront preferences, with 21.8% of respondents preferring high-degree waterfronts in summer, compared to 4.6% in winter; (4) age group is the sole decisive factor for blue space preference in summer, while sex and time spent in the park contribute to winter preferences. These findings contribute to the understanding of seasonal preferences for urban blue-green spaces and inform planning and design strategies, such as targeting specific demographic groups or adjusting waterfront features to enhance year-round appeal.
Analytical expressions for the design of twin junction tuning in SIS mixers
Authors: Wenninger J , Yassin G , Tan B-K 
Published: June 2023

Abstract
We derive general analytical expressions for matching the complex impedance of the feeding radio frequency (RF) circuit to a twin junction device in Superconductor-Insulator-Superconductor (SIS) mixers. A unique feature of our analysis is that it allows for junctions of different admittance and an RF circuit with complex admittance. This provides important design flexibility and accommodates device fabrication tolerances. We then focus on special cases of identical junctions, in particular those cases that yield simple expressions for matching the twin junction to a real impedance. Finally, we derive design curves that allow the determination of the twin junction parameters for a given complex impedance of the feeding circuit. These curves allow the designer to choose different solutions than the commonly used quarter-wavelength transmission line separating the two SIS junctions, which our analysis shows is not always the optimal solution. Moreover, even when commercial software is used for designing the circuits, our analytical equations will act as an important guide to understanding the physics and guide the designer to the optimal solution.
Simulation of a direct torque control system in the presence of winding asymmetry in induction motor
Authors: Goolak Sergey , Liubarskyi Borys , Riabov Ievgen , Chepurna Nataliia , Pohosov Oleksandr 
Published: June 2023

Abstract
The operation of a direct torque control (DTC) system for induction motors with the possible presence of unbalanced modes in the motor windings is studied. It is shown that in the presence of asymmetric modes in the motor windings, the classical DTC algorithm becomes unstable. It is proposed to improve the DTC by taking into account the unbalance of the active resistances of the motor stator windings when determining the DTC parameters. This will make it possible to study electrodynamic processes in DTC with the possible presence of asymmetric modes in the windings of induction motor.
Impact analysis of ceramic tile powder aggregates on self-compacting concrete
Authors: Harikaran M , Boopathi Sampath , Rajkannan M , Gokulakannan S 
Published: June 2023

Abstract
Waste ceramic tile (CT) powders are used to improve the workability, mechanical properties, and durability of self-compacting concrete (SCC). The waste CT powder is prepared by mixing construction tiles, sanitary fittings, and electrical insulators, with different weight percentages mixed into the SCC. Experiments have been conducted to evaluate the workability, mechanical, and durability of SCC. The optimum compressive, flexural, and tensile strengths were predicted to be 52.5 MPa, 8.5 MPa, and 7.8 MPa. SCC’s durability and workability characteristics are achieved by mixing 50% CT powder, which increases interlocking properties and meets EFNARC standards. It is concluded that CT powder can be substituted for conventional fine aggregate in concrete, increasing compressive, flexural, and split tensile strengths by 12.5%, 9.33%, and 28.76% compared to conventional SCC. The 50% CT powder mixed SCC is the optimum value for achieving optimal mechanical, durability, and workability characteristics. Samples of 50% CT powder-mixed SCC with 7, 28, and 90 days of curing processes and microstructure are also illustrated.
A controlled transfer entropy approach to detect asymmetric interactions in heterogeneous systems
Authors: Das Rishita , Porfiri Maurizio 
Published: June 2023

Abstract
Transfer entropy is emerging as the statistical approach of choice to support the inference of causal interactions in complex systems from time-series of their individual units. With reference to a simple dyadic system composed of two coupled units, the successful application of net transfer entropy-based inference relies on unidirectional coupling between the units and their homogeneous dynamics. What happens when the units are bidirectionally coupled and have different dynamics? Through analytical and numerical insights, we show that net transfer entropy may lead to erroneous inference of the dominant direction of influence that stems from its dependence on the units’ individual dynamics. To control for these confounding effects, one should incorporate further knowledge about the units’ time-histories through the recent framework offered by momentary information transfer. In this realm, we demonstrate the use of two measures: controlled and fully controlled transfer entropies, which consistently yield the correct direction of dominant coupling irrespective of the sources and targets individual dynamics. Through the study of two real-world examples, we identify critical limitations with respect to the use of net transfer entropy in the inference of causal mechanisms that warrant prudence by the community.
Agarose Gel: An Overview of the Dermal Filler and a Clinical Experience With 700 Patients
Authors: Buhsem Omer , Kirazoglu Ahmet 
Published: June 2023

Abstract

Background
Dermal fillers currently in the market have several advantages and disadvantages over each other. Agarose gel (AG) is a unique material due to its special rheological characteristics and gel-forming capability.

Objectives
The authors aimed to share their clinical experience on AG for a variety of facial augmentation procedures and its long-term results.

Methods
The study population consisted of 700 patients (532 females; 168 males) aged 18 to 52 years. Follow-up visits were at 1, 3, 6, 12, and 24 months after the injections. Patient satisfaction was evaluated on a scale from 0 to 10 using a survey and clinical improvement was evaluated using the Global Aesthetic Improvement Scale (GAIS) by 2 independent plastic surgeons before the injection and at 1-year follow-up.

Results
Eighty-two percent of the patients scored 1 or 2 (exceptional or great improvement) on GAIS. Eighty-five percent of the patients scored 8 or above (very satisfied). Most patients experienced at least 80% persistence of effect at 1-year follow-up.

Conclusions
AG appears to be suitable for a variety of facial augmentation and contouring applications, as it is safe and has long-lasting favorable cosmetic efficacy.

Level of Evidence: 3
Condition dependence of (un)predictability in escape behavior of a grasshopper species
Authors: Winter Gabe , Wirsching Luis , Schielzeth Holger 
Published: June 2023

Abstract
(Un)predictability has only recently been recognized as an important dimension of animal behavior. Currently, we neither know if (un)predictability encompasses one or multiple traits nor how (un)predictability is dependent on individual conditions. Knowledge about condition dependence, in particular, could inform us about whether predictability or unpredictability is costly in a specific context. Here, we study the condition dependence of (un)predictability in the escape behavior of the steppe grasshopper Chorthippus dorsatus. Predator–prey interactions represent a behavioral context in which we expect unpredictability to be particularly beneficial. By exposing grasshoppers to an immune challenge, we explore if individuals in poor condition become more or less predictable. We quantified three aspects of escape behavior (flight initiation distance, jump distance, and jump angle) in a standardized setup and analyzed the data using a multivariate double-hierarchical generalized linear model. The immune challenge did not affect (un)predictability in flight initiation distance and jump angle, but decreased unpredictability in jump distances, suggesting that unpredictability can be costly. Variance decomposition shows that 3–7% of the total phenotypic variance was explained by individual differences in (un)predictability. Covariation between traits was found both among averages and among unpredictabilities for one of the three trait pairs. The latter might suggest an (un)predictability syndrome, but the lack of (un)predictability correlation in the third trait suggests modularity. Our results indicated condition dependence of (un)predictability in grasshopper escape behavior in one of the traits, and illustrate the value of mean and residual variance decomposition for analyzing animal behavior.
A statistical algorithm for outbreak detection in multisite settings: an application to sick leave monitoring
Authors: Duchemin Tom , Noufaily Angela , Hocine Mounia N 
Published: June 2023

Abstract

Motivation
Public health authorities monitor cases of health-related problems over time using surveillance algorithms that detect unusually high increases in the number of cases, namely aberrations. Statistical aberrations signal outbreaks when further investigation reveals epidemiological significance. The increasing availability and diversity of epidemiological data and the most recent epidemic threats call for more accurate surveillance algorithms that not just detect aberration times but also detect locations. Sick leave data, for instance, can be monitored across companies to identify companies-related aberrations. In this context, we develop an extension to multisite surveillance of a routinely used aberration detection algorithm, the quasi-Poisson regression Farrington Flexible algorithm. The new algorithm consists of a negative-binomial mixed effects regression model with a random effects term for sites and a new reweighting procedure reducing the effect of past aberrations.

Results
A wide range of simulations shows that, compared with Farrington Flexible, the new algorithm produces better false positive rates and similar probabilities of detecting genuine outbreaks, for case counts that exceed historical baselines by 3 SD. As expected, higher surges lead to lower false positive rates and higher probabilities of detecting true outbreaks. The new algorithm provides better detection of true outbreaks, reaching 100%, when cases exceed eight baseline standard deviations. We apply our algorithm to sick leave rates in the context of COVID-19 and find that it detects the pandemic effect. The new algorithm is easily implementable over a range of contrasting data scenarios, providing good overall performance and new perspectives for multisite surveillance.

Availability and implementation
All the analyses are performed in the R statistical software using the package glmmTMB. The code for performing the analyses and for generating the simulations can be found online at the following link: https://github.com/TomDuchemin/mixed_surveillance.

Contact
a.noufaily@warwick.ac.uk
Oncoplastic breast surgery in older women with primary breast cancer: systematic review
Authors: Chia Zoe , Lee Rachel X N , Cardoso Maria J , Cheung Kwok Leung , Parks Ruth M 
Published: June 2023

Abstract

Background
Oncoplastic procedures allow excision of larger breast tumours, or unfavourable tumour/breast ratio lesions while achieving a good cosmetic outcome. This increases the pool of patients eligible for breast conservation over mastectomy, reducing the need for more extensive surgery in older women and potentially improving their quality of life. Nonetheless, studies to date suggest a poor uptake of oncoplastic breast surgery in the older group. This review aimed to establish whether a disparity in uptake of oncoplastic breast surgery exists between older and younger women, and to explore the underlying reasons for this.

Methods
A literature search was conducted on 17 January 2022 using MEDLINE and Embase. Eligible studies comprised full-text articles of patients who underwent oncoplastic breast surgery for primary invasive breast cancer, and included those aged at least 65 years.

Results
Ten published studies were identified. One study was ranked as providing level 2 evidence, and the remainder were level 3. A total of 567 women underwent oncoplastic breast surgery for primary breast cancer, of whom only 61 (10.8 per cent) were aged 65 years or older. None of the studies directly compared younger with older women, or explored the underlying factors contributing to this discrepancy in uptake.

Conclusion
This review has demonstrated a lower uptake of oncoplastic breast surgery in older compared with younger women. Given the increasing number of older women living with breast cancer who may be eligible for breast-conserving surgery, further research into this area is required.
Psychodermatology knowledge, awareness and patterns of practice among Moroccan dermatologists: a national survey study
Authors: Ait Oussous Sara , Jafferany Mohammad , Chakiri Radia 
Published: June 2023

Abstract
We aimed to assess the knowledge, attitudes and patterns of practice of Moroccan dermatologists and their awareness of psychodermatology (PD). A survey questionnaire was distributed to dermatologists and dermatology trainees from May to July 2022. A total of 112 completed surveys were received. Of these, 63.4% were dermatologists and 36.6% were dermatology residents. Of the participants, 72.3% summarized PD as the psychological impact of dermatological conditions and 50.9% reported frequent involvement with PD. Patients with a psychocutaneous condition represented a significant proportion of dermatological consultations (41.1% of dermatologists stated that 10–25% of their consultations were for psychocutaneous conditions). Only 17% felt ‘very comfortable’ in the management of PD conditions and 56.3% were not confident prescribing psychotropics. A total of 88.4% had never participated in PD training. Moroccan dermatologists lack a full understanding and proper training in PD. We recommend the incorporation of PD curriculum in training programmes and advocate dermatology and psychiatry liaison.
Cortical alterations after very preterm birth and the association with socio-emotional abilities from childhood to early adolescence
Authors: Siffredi Vanessa , Liverani Maria Chiara , Borradori-Tolsa Cristina , Leuchter Russia Hà-Vinh , Thiran Jean-Philippe , Hüppi Petra S , Fischi-Gómez Elda 
Published: June 2023

Abstract
Very preterm birth (VPT; &lt;32 weeks’ gestation) leads to a situation where crucial steps of brain development occur in an abnormal ex utero environment, translating to vulnerable cortical and subcortical development. Associated with this atypical brain development, children and adolescents born VPT are at a high risk of socio-emotional difficulties. In the current study, we unravel developmental changes in cortical gray matter (GM) concentration in VPT and term-born controls aged 6–14 years, together with their associations with socio-emotional abilities. T1-weighted images were used to estimate signal intensities of brain tissue types in a single voxel (GM, white matter, and cortico-spinal fluid) and extract GM concentration disentangled from the presence of partial volume effects (PVEs). General linear model analysis was used to compare groups. Socio-emotional abilities were assessed and associations with GM concentration were explored using univariate and multivariate analyses. The effects of prematurity were far-reaching, with intricated patterns of increases and decreases of GM concentration mainly in frontal, temporal, parietal, and cingular regions. Better socio-emotional abilities were associated with increased GM concentration in regions known to be involved in such process for both groups. Our findings suggest that the trajectory of brain development following VPT birth may be fundamentally distinctive and impact socio-emotional abilities.
Risk of Tuberculosis Disease in People With Chronic Kidney Disease Without Kidney Failure: A Systematic Review and Meta-analysis
Authors: Luczynski Pauline , Holmes Thomas , Romanowski Kamila , Arbiv Omri A , Cook Victoria J , Clark Edward G , Johnston James C 
Published: June 2023

Abstract

Background
Kidney failure is an established risk factor for tuberculosis (TB), but little is known about TB risk in people with chronic kidney disease (CKD) who have not initiated kidney replacement therapy (CKD without kidney failure). Our primary objective was to estimate the pooled relative risk of TB disease in people with CKD stages 3–5 without kidney failure compared with people without CKD. Our secondary objectives were to estimate the pooled relative risk of TB disease for all stages of CKD without kidney failure (stages 1–5) and by each CKD stage.

Methods
This review was prospectively registered (PROSPERO CRD42022342499). We systematically searched MEDLINE, Embase, and Cochrane databases for studies published between 1970 and 2022. We included original observational research estimating TB risk among people with CKD without kidney failure. Random-effects meta-analysis was performed to obtain the pooled relative risk.

Results
Of the 6915 unique articles identified, data from 5 studies were included. The estimated pooled risk of TB was 57% higher in people with CKD stages 3–5 than in people without CKD (adjusted hazard ratio: 1.57; 95% CI: 1.22−2.03; I2 = 88%). When stratified by CKD stage, the pooled rate of TB was highest in stages 4–5 (incidence rate ratio: 3.63; 95% CI: 2.25–5.86; I2 = 89%).

Conclusions
People with CKD without kidney failure have an increased relative risk of TB. Further research and modeling are required to understand the risks, benefits, and CKD cutoffs for screening people for TB with CKD prior to kidney replacement therapy.