bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chondrolaryngoplasty: A Review of its Past, Present, and Future
Authors: Kravitz Meryl B. , Lee Andrew H. 
Published: January 2025

Abstract

Purpose of Review
This review aims to summarize the current literature regarding chondrolaryngoplasty, describe important anatomic and technical considerations, and review the safety of the procedure.

Recent Findings
Chondrolaryngoplasty is a procedure that has been shown to be safe and effective in reducing the laryngeal prominence. With the increased demand in gender-affirming surgery, there has been a marked rise in related research in the past decade. Both transcervical and transoral approaches are safely performed. Studies have found a high patient satisfaction with a low rate of long-term voice and swallowing complications.

Summary
Chondrolaryngoplasty is safe and effective for the reduction of the laryngeal prominence.
The thyroid hormone activating enzyme, DIO2, is a potential pan-cancer biomarker and immunotherapy target
Authors: Nappi A. , Miro C. , Cicatiello A. G. , Sagliocchi S. , Acampora L. , Restolfer F. , Dentice M. 
Published: January 2025

Abstract

Purpose
Type 2 deiodinase (D2), encoded by DIO2 gene, catalyzes the activation of the prohormone thyroxine (T4) into the bioactive hormone triiodothyronine (T3) in peripheral tissues, thereby regulating the intracellular Thyroid Hormone (TH) availability. Recently, several studies have demonstrated that a drastic increase in the peripheral activation of TH, via D2, fosters tumor progression, metastasis, and immunity.

Methods
To further prove the clinical relevance of D2 in human cancer, based on public Database of The Cancer Genome Atlas (TCGA), we conducted a pan-cancer analysis of DIO2 expression in various cancer types and investigated the association of DIO2 expression with the tumor microenvironment (TME) components and immune cell infiltration, along with the DIO2 genetic alteration types.

Results
Although with different expression levels between the various cancer types, the pan-cancer analysis showed that DIO2 was highly expressed in most tumors and related to the progression of some tumor types. Furthermore, DIO2 expression was also significantly correlated with TME components, immune cell infiltration, and immunoinhibitory and immunostimulatory gene subsets.

Conclusion
The relevance of this study is that it adds a clinical relevance to the recent demonstrations that D2 accelerates tumor invasion in animal models and poses DIO2 gene as a potential prognostic marker in various human cancers.
Characterizing Household Perceived Evacuation Behaviors in the United States During the COVID-19 Pandemic: 2020-2021
Authors: Jiva Sumera , Hanchey Arianna , Kieszak Stephanie , Schnall Amy 
Published: January 2025

Abstract

Objective
Evacuation can reduce morbidity and mortality by ensuring households are safely out of the path of, and ensuing impacts from, a disaster. Our goal was to characterize potential evacuation behaviors among a nationally representative sample.

Methods
We added 10 questions to the existing Porter Novelli’s (PN) ConsumerStyles surveys in Fall 2020, Spring 2021, and Fall 2021.We conducted a weighted analysis using SAS 9.4 to examine distributions and estimate associations of potential evacuation behaviors of each survey separately.

Results
When asked about barriers to evacuation if public authorities announced a mandatory evacuation because of a large-scale disaster, ~7% reported nothing would prevent them from evacuating. Over half of respondents across the 3 surveys (51.1%-52.4%) had no preparedness plans, and almost two-thirds of respondents (63.7%-66.2%) did not have an emergency supply kit.

Conclusions
Knowing potential evacuation behaviors can help frame messages and provide a starting point for interventions to improve disaster preparedness and response. Overall, data show that there is much work to be done regarding evacuation behaviors and overall preparedness in the United States. These data can be used to tailor public messaging and work with partners to increase knowledge about evacuation.
Investigation of mode changing of PSR J1921+1419 with FAST
Authors: Tian Jie , Xu Xin , Dang Shijun , Zhi Qijun 
Published: January 2025

Abstract
The single pulses of PSR J1921+1419 were examined in detail using high-sensitivity observations from the Five-hundred-meter Aperture Spherical radio Telescope (FAST) at a central frequency of 1250 MHz. The high-sensitivity observations indicate that the pulsar exhibits two distinct emission modes, which are classified as strong and weak modes based on the intensity of the single pulses. In our observations, the times spent in both modes are nearly equal, and each is about half of the total observation time. The minimum duration of both modes is

$1\,P$

and the maximum duration is

$13\,P$

, where P is the pulsar spin period. Additionally, the mean intensity of the weak mode is less than half of that of the strong mode. Notably, the switching between these modes demonstrates a clear quasi-periodicity with a modulation period of approximately

$10 \pm 2\,P$

. An analysis of the polarisation properties of both modes indicates that they originate from the same region within the magnetosphere of the pulsar. Finally, the viewing geometry was analysed based on the kinematical effects.
Iceland’s demographic transition: from turf houses to too many tourists
Authors: Heleniak Timothy 
Published: January 2025

Abstract
Iceland was one of the last places in Europe to be settled. It thus has a relatively short population history as it was completely depopulated until about 871. Harsh climatic conditions, periodic epidemics, and numerous natural disasters were not conducive to robust population growth on the island. This article traces the demographic transition of Iceland’s population from the initial settlement to the present. This is the transition from high to low birth and death rates as a population modernises. Iceland has an impressive literary and historical record-keeping tradition beginning with the Saga Age in the 900s. It also has long had a well-developed statistical system which allows the study of population trends much further back in time than many countries. The results show slow population growth for much of Iceland’s history with many episodes of steep population decline. A series of technological innovations in the 19th century allowed the country to modernise, the population to grow, and its demographic situation to improve. Iceland has completed the demographic transition, the population is growing, in part due to high immigration, and it has some of the best demographic indicators in the world. Despite these favourable trends, the country faces some demographic challenges.
Voice processing ability predicts second-language phoneme learning in early bilingual adults
Authors: Cordero Gaël , Paredes-Paredes Jazmin R. , Perea Manuel , Sebastian-Galles Nuria , Díaz Begoña 
Published: January 2025

Abstract
Individuals differ greatly in their ability to learn the sounds of second languages, even when learning starts early in life. Recent research has suggested that the ability to identify the idiosyncratic acoustic variations introduced into the speech stream by the speaker might be relevant for second-language (L2) phoneme learning. However, only a positive correlation between voice recognition and phoneme learning has been shown. In the present study, we investigated whether voice processing ability predicts L2 phoneme learning. We employed a battery of behavioral cognitive ability measures to assess voice processing ability and L2 phoneme learning in 57 early bilingual adults. Confirmatory factor analyses (CFAs) and structural equation modeling (SEM) revealed that voice processing ability predicts L2 phoneme learning. Our findings align with theories of speech perception that attribute a fundamental role to the analysis of voice cues and suggest that the accurate identification of speaker-specific variation is also relevant for phoneme learning.
Cenozoic Kinematic Evolution of the Northern Tibetan Plateau: Implication for the Tectonic Setting of Deep Brines Mineralization in the Southwestern Qaidam Basin
Authors: Li Bing , Chen Xuanhua , Shi Zhen , Ma Ying , Li Xiangjun , Zuza Andrew V. , Wang Zengzhen , Wang Yongchao , Xu Shenglin , Wang Zhendong 
Published: January 2025

AbstractThe Cenozoic kinematic evolution of the northern Tibetan Plateau resulted in the growth of the Eastern Kunlun Range, Qaidam Basin, and Qilian Shan. The widely developed lithium‐brine hosted within the southwestern Qaidam Basin make the basin one of the most promising regions for brines mineralization across the plateau. Better understanding the Cenozoic deformation and basin‐range interaction of the southwestern Qaidam Basin are significant in deciphering the kinematic evolution of the northern Tibetan Plateau and model of lithium brines formation. Despite decades of studies, the initiation timing, kinematics, and pattern of Cenozoic deformation across the northern Tibetan Plateau, and its role in impacting the Cenozoic deep‐brine mineralization, are poorly constrained. In this study, we conducted field observations, apatite fission track analysis, and synthesis of published data in the southwestern Qaidam Basin to improve our understanding of the Cenozoic intra‐plate deformation. Our results indicate that the northern Tibetan Plateau has experienced multi‐stage out‐of‐sequence development, which involved Late Cretaceous extension, Eocene‐Oligocene contraction and growth strata development, and accelerated mid‐Miocene exhumation. The southwestern Qaidam Basin experienced lacustrine deposition at the Oligocene time, and switched to a fluvial environment since Miocene. With this kinematic and sedimentary model, we provide new constraints on tectonic setting of Cenozoic deep‐brine mineralization in the southwestern Qaidam Basin. Synchronous range growth surrounding the basin formed an internally drained sedimentary environment since the Oligocene, which was optimal for deep‐brine mineralization associated with Oligocene‐Miocene volcanism in the Hoh Xil Basin to the south.
Early gross motor performance is associated with concurrent prelinguistic and social development
Authors: Gallen Anastasia , Taylor Elisa , Salmi Juha , Haataja Leena , Vanhatalo Sampsa , Airaksinen Manu 
Published: January 2025

Abstract

Background
To study how early gross motor development links to concurrent prelinguistic and social development.

Methods
We recruited a population-based longitudinal sample of 107 infants between 6 and 21 months of age. Gross motor performance was quantified using novel wearable technology for at-home recordings of infants’ spontaneous activity. The infants’ prelinguistic and social development was assessed in parallel with a standardized parental questionnaire (Infant Toddler Checklist). The developmental trajectories of motor, prelinguistic, and social performance were inspected longitudinally at individual level, and correlated to each other to measure the relative, age-adjusted advance in performance (z-scores).

Results
Advanced gross motor maturation (higher z-score) links to more advanced prelinguistic development (β = 0.033, p = 0.016, R

2
= 0.706) and social development (β = 0.038, p = 0.025, R

2
= 0.600). When looking at specific gross motor skills, an increased amount of independent movement (crawling, standing, walking) links to more advanced prelinguistic and social abilities.

Conclusion
We introduce a novel approach that measures individual level gross motor development longitudinally at high resolution from child’s spontaneous movements at home. This approach shows that age-adjusted relative advance in motor performance is linked to concurrent prelinguistic and social development, supporting the idea of developmental interaction across neurocognitive domains.

Impact

Early gross motor, prelinguistic, and social developments show trackable idiosyncratic trajectories.

Maturity in gross motor performance links to concurrent prelinguistic and social development.

Gross motor performance can be assessed reliably and objectively from infants’ spontaneous activity using unsupervised wearable recordings in their native environment, the homes.

The present methodology with longitudinal quantitative assessments and age-adjusted modeling with z-scores introduce a potential paradigm shift to studying early neurodevelopment in the context of pediatric health, benchmarking of therapeutic interventions, and other developmental studies.
The Sir Ludwig Guttmann lecture 2023: psychosocial factors and adjustment dynamics after spinal cord injury
Authors: Craig Ashley 
Published: January 2025

Abstract

Study design
Narrative review

Objectives
Sir Ludwig Guttmann realised spinal cord injury (SCI) rehabilitation should incorporate more than a biomedical approach if SCI patients were to adjust to their injury and achieve productive social re-integration. He introduced components into rehabilitation he believed would assist his patients build physical strength as well as psychological resilience that would help them re-engage with their communities. We pay tribute to Sir Ludwig by presenting research that has focussed on psychosocial factors that contribute to adjustment dynamics after SCI.

Setting
Not applicable.

Methods
Five factors with a psychosocial source will be examined, featured in my research, namely psychological distress, cognitive impairment, pain catastrophizing, sleep disorder and fatigue. A multifactorial model of adjustment will be examined.

Results
Evidence shows these factors can be significant barriers to adjustment and reciprocally related to self-efficacy and life decisions. A theoretical rehabilitation framework/model is presented called the SCI Adjustment Model (SCIAM), that explains the process of adjustment dynamics. It describes how multifactorial factors contribute to adjustment in a non-linear process over time.

Conclusions
Key clinical messages include: (i) adjustment dynamics will be enhanced if viewed through the lens of a multifactorial model that clarifies how multiple psychosocial factors can combine and act as barriers or facilitators to adjustment; (ii) judiciously using this information, assess and then strategize to reduce the influence of barriers or strengthen facilitators during SCI rehabilitation and beyond, and (iii) integrate psychosocial guidelines and a person-centred approach into SCI rehabilitation to achieve treatment goals.
Between VO and OV in Arabic and Aramaic
Authors: Noorlander Paul M. , Molin Dorota , Haig Geoffrey 
Published: January 2025

Abstract
Drawing on a corpus-based typology of 24 spoken dialects of contemporary Arabic and Aramaic, we explore relevant
microvariation along the VO-OV spectrum in Central Semitic, which holds implications for the still understudied VO-to-OV shift.
While the literature emphasizes that this type of syntactic change is only possible under external pressure, our findings
demonstrate that this development is also driven by internal dynamics, in particular the syntax of definite objects. Our study
shows a robust tendency for pronouns and definite object NPs to be selected first for preverbal placement; being originally
left-dislocated topics with resumption, this at times results also in higher rates of object cross-referencing. Furthermore, this
corpus-based typology also highlights the importance of a gradient approach to word order variation and change as well as the
importance of studying distinct object types, which, together, help us document mixed systems that in themselves can be
diachronically stable.
Sound absorption performance prediction of multi-dimensional Helmholtz resonators based on deep learning and hyperparameter optimization
Authors: Liu Yan , Hang Yin , Li Qiutong 
Published: January 2025

Abstract
The problem of low-frequency noise is becoming increasingly severe and measuring the sound absorption performance of acoustic metamaterials (AMs) using accurate absorption coefficients is of great interest in low-frequency noise control engineering. Conventional calculation methods such as Finite Element Method (FEM) simulations and the theoretical analysis methods (TAM) have specific limitations. Deep learning (DL) models provide new perspectives for studying AMs acoustic performance. However, the prediction performance of DL models is highly dependent on the proper tuning of hyperparameters. As far as is known, existing literature has not systematically explored the impact of hyperparameter tuning on DL models in the context of acoustic performance studies. The present paper designed a multi-dimensional Helmholtz resonator (MDHR) consisting of a 4 × 4-type continuous parallel arrangement, while a dataset was established via FEM. Furthermore, a deep neural network (HPO-DNNs) model based on hyperparameter optimization (HPO) was proposed to predict the acoustic performance of the MDHR. Random search (RS), Bayesian optimization (BO), Simulated annealing (SA), and genetic algorithm (GA) were introduced to optimize the hyperparameters (learning rate, weight decay, optimizer, and batch size) of the DNNs. The mean square error (MSE), coefficient of determination (R
2) of the testing dataset and the optimization time were used as the evaluation metrics, GA was selected for further study based on the comparison results (MSE = 0.00177, R
2 = 0.98151) of the optimization efficiency and predictive precision of DNNs from the four HPO algorithms. Finally, the prediction performance of the GA-DNNs model was evaluated in single-, multi-, and broadband conditions in practical applications, demonstrating high precision and stability and providing a new approach for acoustics performance studies.
Design strategies and performance evaluation of reconfigurable notch filtering in UWB Vivaldi Antennas
Authors: Kumar Shubham , Khandelwal Mukesh Kumar , Yelizarov Andrey A , Sharma Usha , Sharma Vipin 
Published: January 2025

Abstract
This paper presents a frequency reconfigurable notch band enabled Vivaldi Antenna for ultra-wideband (UWB) applications. The proposed antenna structure features a fork shaped patch embedded with a PIN diode. Patch is fed with a triangular tapered feed line and supported by a novel shaped Vivaldi ground plane consisting two exponentially tapered fins adjoining with a triangular slot. The antenna design shows a −10 dB impedance bandwidth ranging 2.17–10.97 GHz with a notch band between 4.94–5.11 GHz. With the help of BAR64 PIN diode reconfigurable notch band is achieved at 5.0 GHz frequency. Moreover, this notch frequency can be shifted to the desired frequency by adjusting the feed settings and location of the diode. The idea behind this design is to introduce a simple design, independently controlled notch parameters, simple switching operation, and high gain abilities. The developed antenna exhibits steady unidirectional radiation patterns and a peak gain of 9.3 dBi with noticeable decreases at the notched band. Almost stable gain is observed between UWB frequency range of 3.1–10.6 GHz, gain is varying from 7.05 dBi to 8.3 dBi and only 1.25 dBi gain variation is observed within this range of frequency. The simulated and fabricated results showcase a close agreement with each other. The proposed antenna improves wireless communication performance, meeting the growing demand for dependable and interference-resistant solutions.
Liquid-vapor phase separation under shear by a pseudopotential lattice Boltzmann method
Authors: Lin Chuandong , Shen Sisi , Wang Shuange , Hou GuoXing , Fei Linlin 
Published: January 2025

Abstract
In this paper, the liquid-vapor phase separation under viscous shear is investigated by using a pseudopotential central moment lattice Boltzmann method. Physically, the multiphase shear flow is governed by two competing mechanisms: surface tension and shear force. It is interesting to find that the liquid tends to form a droplet when the surface tension dominates under conditions of low temperature, shear velocity, and viscosity, and in larger domain size. Otherwise, the liquid tends to form a band if shear force dominates. Moreover, the average density gradient is used as a physical criterion to distinguish the spinodal decomposition and domain growth. Both spatial and temporal changes of density are studied during the phase separation under shear.
Power quality monitoring and analysis method of distribution station area based on edge computing
Authors: Meng Xiangliang , Zhang Zhe , Liao Xiao , Cui Wei , Wang Shilin 
Published: January 2025

Abstract
Facing the demand for multi-scenario, differentiated, and decentralized monitoring, and analysis of power quality in distribution networks under the new situation, this paper proposes an edge computing-based power quality monitoring and analysis method for distribution station areas. It introduces the three-layer architecture of the power quality monitoring system for the distribution station area. It designs three monitoring modes based on edge computing, namely light monitoring, normal monitoring, and intensive monitoring. The key indicator calculation and statistical analysis method of power quality under an edge computing framework are presented. Typical application scenarios are selected for pilot application and verification. The results show that this method can realize the quantitative analysis of power quality operation in the power distribution area, actively discover potential power quality problems in the power distribution area, and meet the diversified needs of power quality monitoring and analysis in the power distribution area.
Research on electrostatic characteristics for conductors and dielectrics based on an improved characteristic basis function method
Authors: Ma Xingyu , Guo Xin , Yin Zhiyong , Wang Zhaomeng 
Published: January 2025

Abstract
The safe and stable operation of modern power systems is inseparable from the electromagnetic calculations of their spatial environment. Focusing on the electrostatic field, this paper deduces the boundary integral equations of the conductors and dielectrics, constructs the boundary discrete matrix equations, and then adopts the characteristic basis function method (CBFM) to obtain the electrostatic response of the target bodies. In the process of constructing the basis functions, the adaptive cross approximation (ACA) algorithm is introduced, which can reduce the computational complexity and memory demand through the low grade decomposition of the impedance matrix, and further result in calculation efficiency improvement. Numerical examples of the 35 kV transmission tower and the solar photovoltaic power panel under the premise of the given boundary conditions verify the accuracy and efficiency of the proposed algorithm.