bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disparities in telemedicine use and payment policies in the United States between 2019 and 2023
Authors: Gage Anna D. , Knight Megan A. , Bintz Corinne , Aldridge Robert W. , Angelino Olivia , Dieleman Joseph L. , Ashworth Dirac M. , Dwyer-Lindgren Laura , Hay Simon I. , Lozano Rafael , Mokdad Ali H. , Haakenstad Annie 
Published: February 2025

Abstract

Background
The COVID-19 pandemic induced an increase in telemedicine use in the American health care system. We assess disparities in telemedicine usage, the diseases and conditions it is used for, and the association of payment parity policies with telemedicine use for January 2019–March 2023.

Methods
We include health systems which reported electronic health record data to the Healthjump database. The outcomes of interest are the percentage of outpatient consultations conducted via telemedicine in each health system and the distribution of outpatient and telemedicine consultations across 31 diseases and conditions. We use a difference-in-difference observational design to assess the association of state level payment parity mandates with telemedicine use.

Results
We show telemedicine use grew from less than 0.05% of outpatient consultations in 2019 to 25% in April 2020 and 4% in March 2023. Health systems in urban areas used telemedicine 2.4 times more than health systems in rural areas since April 2020 at the median. In March 2023, 29% of all mental health care visits and 21% of substance use disorder care were provided via telemedicine. Payment parity mandates are associated with a 2.5 percentage point increase in telemedicine use in the first quarter of 2023 compared to states without mandates.

Conclusions
The pandemic resulted in a sustained change in the use of telemedicine. The predominance of mental health care in telemedicine suggests that this mode of service delivery could be instrumental to increasing access to mental health services in the United States.
A Comparison of Item Acquisition and Response Generalization for Semantic Versus Phonological Treatment of Aphasia
Authors: Schwen Blackett Deena , Kristinsson Sigfus , Walker Grant , Sayers Sara , Gibson Makayla , Wilmskoetter Janina , den Ouden Dirk B. , Fridriksson Julius , Bonilha Leonardo 
Published: February 2025

Purpose:
The purpose of this work is to examine whether therapy-related improvements in trained versus untrained items (acquisition and response generalization, respectively) are differentially affected by phonological versus semantic language treatments and to investigate individual variables associated with treatment response.

Method:
Sixty-three participants with chronic poststroke aphasia were included in this retrospective analysis of data from a large, multisite clinical trial with an unblinded cross-over design in which all participants underwent 3 weeks of semantic treatment and 3 weeks of phonological treatment. A linear mixed-effects model was used to examine treatment acquisition and generalization effects for the two treatment types. Multiple regression analyses were also conducted to examine individual participant factors associated with acquisition compared to generalization.

Results:
Results showed main effects of outcome type (acquisition vs. response generalization) and treatment type (semantic vs. phonological) on posttreatment changes in naming and an interaction between these factors: For acquisition, phonological treatment resulted in better gains than semantic treatment, whereas for response generalization, semantic treatment resulted in slightly better gains than phonological treatment. There were no significant associates of generalization gains. However, acquisition after phonological treatment was associated with less severe aphasia and higher nonverbal semantic processing abilities at baseline, whereas acquisition after semantic treatment was associated with apraxia of speech.

Conclusions:
On average, phonological treatment may be more effective for acquiring trained items, whereas semantic treatment may be more effective for response generalization to untrained items. Moreover, acquisition gains are associated with individual baseline variables. These findings could have clinical implications for treatment planning.

Supplemental Material:

https://doi.org/10.23641/asha.28410212
A New Genetic Algorithm‐Based Network for Text Localization in Degraded Social Media Images
Authors: Palaiahnakote Shivakumara , Kumar Chandrahas Pavan , Aggarwal Pranjal , Sharma Shubham , Chandana Pasupuleti , Basavanna Mahadveppa , Pal Umapada 
Published: February 2025

ABSTRACTThis paper presents a novel model for understanding social image content through text localization. For text localization, we explore maximally stable extremal regions (MSER) for detecting components that work by clustering pixels with similar properties. The output of component detection includes several non‐text components due to the degradations of social media images. To select the best components among many, we explore the genetic algorithm by convolving different kernels with components, which results in a feature matrix that is further fed to EfficientNet for choosing actual text components. Therefore, the proposed model is called genetic algorithm based network for text localization in degraded social media images (TLDSMI). For evaluating text localization, we consider the images of the standard dataset of natural scenes by uploading and downloading from different social media platforms, namely, WhatsApp, Telegram, and Instagram. The effectiveness of our method is shown by testing on original and degraded standard datasets. For example, for the degraded images of different complexities including degradations caused by social media platforms, the proposed method performs well in almost all situations. In addition, the proposed model achieves the best F1‐Score, 0.76, 0.77, 0.70, and 0.78 for the degraded images of CUTE, ICDAR 2013, Total‐Text, and CTW1500, respectively, compared to the state‐of‐the‐art methods.
Two‐Layer Optimal Electricity Trading Method for Distribution Networks with Multi‐MG
Authors: Zhe Chen , Da Lin , Zhihao Li , Xiangjin Wang , Yajie Tang 
Published: February 2025

ABSTRACTThis paper proposes a distributed trading strategy for microgrids based on a Stackelberg game to enhance the operational benefits of distribution networks (DNs) and microgrids (MGs) while reducing microgrid energy costs. First, we establish a multi‐objective two‐layer optimization trading model for DN‐MG interaction based on the Stackelberg game. In this model, the upper layer focuses on maximizing agent profits through a DN trading model, while the lower layer aims to minimize operator costs through an MG energy optimization model. Next, the Karush–Kuhn–Tucker conditions are applied to reformulate the two‐layer model into a single‐layer model. Subsequently, linear transformations are used to convert the model into a mixed‐integer linear programming model. The transformations aim to address the nonlinear issues arising from multivariable coupling between the upper and lower‐layers trading models. Simulation results indicate that the proposed trading strategy significantly increases the profits of DN agents while lowering the operational costs of MGs. This approach offers valuable insights for decision‐making in electricity markets that involve microgrids.
A Multiple Market Trading Mechanism for Virtual Power Plants Participating in Electricity Energy‐Renewable Energy Certificate‐Carbon Emission Right Markets
Authors: Li Yun , Huang Zhihong , Zhou Jianguo , Guo Ye , Gong Junqiang , Chen Tunan 
Published: February 2025

ABSTRACTThis paper introduces a novel trading mechanism that enables virtual power plants (VPPs) to simultaneously engage in electricity, renewable energy certificate (REC), and carbon emission right (CER) markets, taking into account the differences in regulation time scales and trading time granularity. We present a multi‐layer trading model with rolling window approach to show the model structure. By incorporating parametric programming for the problem‐solving process, this approach captures the sensitivity of daily dispatch decisions to REC and CER market parameters, bringing up an exchange method of parameter information between the model's layers. The dispatching correction process can help reduce the negative impact of uncertainties caused by the parameter sensitivity differences in the electricity trading layer. Case studies show that the resulting framework significantly bolsters the VPP's profit maximisation and risk mitigation capabilities.
Unter dem Strich hat es sich eben nichtdestotrotz gelohnt
Authors: Fischer Jonny , Komiker Schweizer 
Published: February 2025

ZusammenfassungJonny Fischer ist einer der bekanntesten Schweizer Comedians, zusammen mit Manuel Burkart bilden sie das Duo Cabaret Divertimento. 2022 berichtete er in einem Buch
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über seinen autobiografischen Lebensweg. PiD-Mitherausgeber Christoph Flückiger hat mit ihm gesprochen.
Verantwortungsübernahme im Kontext von Krieg und Flucht: Wie kann die Psych*-Profession helfen?
Authors: Stapel Sarah , Brakemeier Eva-Lotta 
Published: February 2025

ZusammenfassungDer Verein „Gemeinsam für psychische Gesundheit e. V.“ (GPG) bietet u. a. psychologische Hilfe für Schutzsuchende aus der Ukraine, mit Fokus auf niedrigschwelliger Beratung und Interpersoneller Psychotherapie (IPT). GPG organisiert digitale Schulungen für Therapierende in der Ukraine, um die psychische Gesundheitsversorgung vor Ort zu stärken. Der Beitrag verdeutlicht die Notwendigkeit rascher solidarischer Maßnahmen zur Unterstützung der psychischen Gesundheit in Krisenzeiten.
Ressourcen zur Bewältigung von Sprachbarrieren in der psychosozialen Versorgung
Authors: Mösko Mike 
Published: February 2025

ZusammenfassungViele Menschen, die nicht hinreichend Deutsch sprechen, erfahren zahlreiche Hürden in der psychosozialen Versorgung. Um Zugangsbarrieren abzubauen, existieren 5 Kommunikationsstrategien: direkte Kommunikation, mehrsprachige Kommunikationsmittel, technische Hilfsmittel, Behandlung durch mehrsprachige Behandler und Einsatz von (professionellen) Dolmetschern. Die Integration dieser Lösungen in die Regelversorgung erfordert besondere Anstrengungen.
Nicht kleinzelliges Lungenkarzinom – Vorreiter der personalisierten Onkologie
Authors: Saalfeld Felix Carl , Aust Daniela E , Wermke Martin 
Published: February 2025

ZusammenfassungBei keiner anderen Krebserkrankung ist die klinische Praxis so nah an den Idealen der personalisierten Onkologie wie in der Behandlung des nicht kleinzelligen Lungenkarzinoms (NSCLC). Wir stellen hier kurz die Grundprinzipien der molekularen Analyse dar. Der Fokus des Artikels liegt auf dem klinischen Nutzen der Therapie. Schließlich zeigen wir die Herausforderungen für das ärztliche Personal und strukturelle Lösungsansätze auf.
Molekular zielgerichtete Therapien – brauchen wir überhaupt noch Chemotherapie?
Authors: Hellmuth Johannes C. , Koch Raphael , Weigert Oliver 
Published: February 2025

ZusammenfassungFortschritte im Verständnis der Biologie maligner Lymphome haben die Entwicklung zahlreicher molekular zielgerichteter Therapien ermöglicht. So kann die chronische lymphatische Leukämie heutzutage fast vollständig chemotherapiefrei behandelt werden. Doch wie sieht diese Entwicklung bei anderen Lymphomen aus? Im vorliegenden Artikel wollen wir eine Übersicht über molekular zielgerichtete Therapieansätze bei malignen B- und T-Zell-Lymphomen geben.
Pulmonale Raumforderung: Über die malignen Ursachen hinausdenken – Ein Fall von Histoplasmose
Authors: Terhalle Elena 
Published: February 2025

ZusammenfassungEin 49-jähriger Patient wurde zur Abklärung eines pulmonalen Rundherds und einer Lymphadenopathie vorgestellt. Nach der Entfernung eines Plattenepithelkarzinoms an der Lippe und eines Nierenzellkarzinoms zeigten Nachuntersuchungen neue Lungen- und Lymphknotenveränderungen. Eine initiale Vermutung auf maligne Metastasen bestätigte sich nicht; stattdessen wurden Pilzorganismen festgestellt. Durch eine detaillierte Anamnese, positive Serologie und eine spezifische PCR konnte schließlich die Diagnose einer pulmonalen Histoplasmose gestellt werden.
Quality of Life after Type A Aortic Dissection Surgery in the United Kingdom: The QUADS Study
Authors: Ripoll Brianda , Olayiwola Adeyemi , Kalra Sanjeev , Syed Aidil , Capoccia Massimo , Ahmed Shaheen , Koulouroudias Marinos , Mocanu Ioan , Clark Stephen , Deglurkar Indu , Elmahdy Walid , Hyde Jonathan , Nicou Niki , Attar Nawar Al , Cale Alexander , Loubani Mahmoud , Oo Aung Ye , Lopez-Marco Ana 
Published: February 2025

Background Acute Type A aortic dissection (TAAD) is a life-threatening condition that carries significant mortality and morbidity; a proportion of the survivors might require further aortic procedures in the mid-/long-term follow-up. Quality of life (QoL) after TAAD is not well studied. Quality of life after Type A Aortic Dissection Surgery (QUADS) is the first multicentre study to assess QoL in survivors of surgically treated TAAD.
Methods A tailored questionnaire for survivors of TAAD was designed with patient and public involvement. Patients who underwent surgery from 2018 to 2022 in eight United Kingdom centres were invited to participate. Preoperative, intraoperative, and postoperative prospectively collected data were collated and analyzed retrospectively. The data were analyzed with SPSS v29. Patient's questionnaire was validated with a Cronbach's alpha analysis, exploratory factor analysis, and AMOS confirmatory factor analysis. Three groups were created according to QoL (Good, Fair, Poor).
Results A total of 162 patients were recruited. Majority were male with a mean age of 63 years (24–92). Surgical procedures for TAAD were root and ascending aorta replacement (n = 61, 38%), ascending (n = 81, 50%), and/or arch replacement (n = 20, 12%). Eleven patients (7%) required later intervention. Patient's answers regarding overall QoL were good (n = 67, 41%), fair (n = 89, 55%), and poor (n = 6, 4%). Neurological complications, circulatory arrest duration, reoperation for bleeding, postoperative myocardial infraction, arrhythmias, wound infection, and patient destination at discharge have been identified as main variables impacting on QoL after TAAD surgery across different domains of this questionnaire.
Conclusion QUADS questionnaire is the first tailored and validated questionnaire for TAAD survivors. Results in the United Kingdom population suggest that it is a useful tool to assess QoL after TAAD surgery.
Evaluation of Queue Management System (QMS) Use in Chest X-Ray for Tuberculosis Screening: A Case Study
Authors: Nwaiwu Victor Chigbundu , Das Sreemoy Kanti 
Published: February 2025

Abstract
Background Tuberculosis (TB) remains a threat to public health globally and is one of the top infectious killer diseases in Africa and Asia. The government and international partners have strategically intervened by cascading chest radiography (CXR) to identify, manage, and monitor treatments outcomes. However, patient have reportedly been dissatisfied with the quality of CXR screening services provided, raising complains that spans across quality of care, waiting times, communication levels, staff attitudes, and treatment outcomes.
Aim, Settings, and Design Coming at this present time when the major focus in health care is on improving patients' care and experience, this study aims to ascertain the performance of queue management system (QMS) use for CXR-TB screening in Nigeria as well as its acceptability; adopting quantitative research design.
Materials and Methods Questionnaires were administered face-to-face to the three categories of respondents (radiographers, radiology assistants, and patients) who meet the specific set of inclusion criteria, following a brief explanation about the research aim. Consent was gotten by way of a signed consent form and ethical approval obtained. A Likert 5-point scale was utilized in analyzing the responses, undergoing descriptive statistics using SPSS (version 25) software.
Results QMS is extremely useful in workflow, accuracy, communication, combatting work stress, and maintaining privacy, but with accompanying occasional technical challenges. A remarkable preference for QMS to manual in CXR-TB screening was noted among all research subjects, with strong level of agreement (close mean values of 4.06, 3.81, 3.91; standard deviation of 0.70, 0.73, 0.60).
Conclusion Findings from this study uncover the vital role the QMS plays in improving the quality of CXR-TB screening services, demonstrating great acceptability.
Phase diagram and elementary excitations of strongly interacting droplets with non-local interactions
Authors: Łebek Maciej , Kopyciński Jakub , Gorecki Wojciech , Ołdziejewski Rafał , Pawlowski Krzysztof 
Published: February 2025

Abstract
A one-dimensional bosonic gas with strong contact repulsion and attractive non-local interactions may form a quantum droplet with a flat-top density profile. We focus on a system in the Tonks-Girardeau limit of infinitely strong contact repulsion. We show that the main system features are the same for a broad class of non-local interaction potentials. Then, we focus on a limiting case, the one of slowly varying density profiles, to find approximate formulas for the surface and bulk energies of a droplet. We further characterise the system by numerically finding the excitation spectrum. It consists of two families: phononic-like excitations inside droplets and scattering modes. Analysis within the linearised regime is supplemented with the full, nonlinear dynamics of small perturbations.
Perfect revivals of Rabi oscillations and hybrid Bell states in a trapped ion
Authors: Torres Juan Mauricio , Ventura-Velázquez Christian , Arellano-Melendez Ivan 
Published: February 2025

Abstract
We show that perfect revivals of Rabi oscillations are possible, under certain conditions, in the population inversion of a trapped ion. Based on this property, we find that Schrödinger cat states of the atomic motion are naturally generated by the unitary dynamics. Using a pair of symmetric and antisymmetric Schrödinger cat states of motion, together with an electronic excited or ground state, we find that the interaction leads to four orthonormal maximally entangled states or hybrid Bell states as they are encoded in two partitions of different nature. We also study a quadratic Kerr-type evolution that is possible for short interaction times.
Interface and Heteroatom Engineering in Graphene/g-C3N4 Heterostructures: A Pathway to High-Efficiency Metal-Free Catalysts for Hydrogen Evolution Reaction
Authors: wang siyao , Zhao Jingxiang 
Published: February 2025

Abstract
As a clean and sustainable energy source, hydrogen is expected to play a crucial role in addressing excessive carbon dioxide emissions and the depletion of fossil fuels. Herein, by means of density functional theory (DFT) computations, we have systematically investigated the effects of interface engineering in a series of graphene/ g-C3N4 (G/g-C3N4) with heteroatom doping (X-G/g-C3N4 and G/X-g-C3N4, X = B, N, Si, P and S) on hydrogen evolution reaction (HER) catalytic performance. Our results reveal that these X-doped G/g-C3N4 interfaces exhibit excellent stability, enhanced metallic features, terrific mechanic properties and exceptional magnetic properties. Remarkably, through precise regulation of the positioning of Si or P heteroatom, X-G/g-C3N4 interfaces demonstrate outstanding excellent catalytic performance, characterized by hydrogen adsorption free energy (∆GH*) values approaching zero, which can be ascribed to its appropriately positioned p-band centers near the Fermi level. This work provides valuable insights for the rational design of HER catalysts aimed at sustainable high-purity H2 production.
Inducing in-plane structural and magnetic anisotropy in a thick polycrystalline nickel ﬁlm coupled to LiNbO3 substrate
Authors: Mirfakhraie Seyed Alireza , Christienne Louis , Huang Tianwen , Becerra Loı̈c , Hrabovsky David , Talleb Hakeim , Gensbittel Aurélie , Rovillain Pauline , Zheng Yunlin , Marangolo Massimiliano 
Published: February 2025

Abstract
This study unveils mechanisms of thermally induced in-plane magnetic anisotropy in a 2 µm thick polycrystalline ﬁlm of nickel sputtered on lithium niobate Y-cut substrate at room temperature. We show that the appearance of in-plane magnetic anisotropy is correlated to in-plane anisotropic strain in nickel ﬁlms, resulting from the coupling between the ﬁlm and the substrate. Thermal annealing at moderate temperatures until 250ﬃC under vacuum has permitted to modify signiﬁcantly the strain state in the nickel ﬁlm. The native in-plane contractive strain in the as-grown ﬁlm has been gradually released and becomes anisotropic with annealing. It is demonstrated that the resulting strain is mainly due to the mismatch in thermal expansion between the ﬁlm and the substrate, but also to the anisotropic strain relaxation counting for 25% of the total in-plane anisotropic strain. In-plane magnetic anisotropy of the nickel ﬁlm is then highly enhanced and completely released once the ﬁlm is peeled oﬀ from the substrate. This study sheds light on coupling between magnetostrictive and piezoelectric materials, providing a better understanding of the magnetoelectric eﬀect in composite heterostructures.&#xD;
Structural and electronic properties of bulk Li2O2: first-principles simulations based on numerical atomic orbitals
Authors: Masanja Paul M. , Fernández-Ruiz Toraya , Tarimo Esther J. , Carral-Sainz Nayara , PULAPA VENKATA KANAKA RAO , singh vijay , Mwankemwa Bernard , Garcia Lastra Juan Maria , García-Fernández Pablo , Junquera Javier 
Published: February 2025

Abstract
The development of advanced materials with high specific energy is crucial for enabling sustainable energy storage solutions, particularly in applications such as lithium-air batteries. Lithium peroxide (Li2O2) is a key discharge product in non-aqueous lithium-air systems, where its structural and electronic properties significantly influence battery performance. In this work, we investigate the atomic structure, electronic band structure, and Wannier functions of bulk Li2O2 using density functional theory. The performance of different basis sets of numerical atomic orbitals are compared with respect to a converged plane-wave basis results. We analyze the material’s ionic characteristics, the formation of molecular orbitals in oxygen dimers, and the band gap discrepancies between various computational approaches. Furthermore, we develop a localized Wannier basis to model electron-vibration interactions and explore their implications for polaron formation. Our findings provide a chemically intuitive framework for understanding electron-lattice coupling and offer a basis for constructing reduced models that accurately describe the dynamics of polarons in Li2O2. These insights contribute to the broader goal of improving energy storage technologies and advancing the field of materials design.