bluuebunny/crossref_metadata_2025_split huggingface dataset:
Localization of Seizure Onset Zone based on Spatio-Temporal Independent Component Analysis on fMRI
Authors: Sadjadi Seyyed Mostafa , Ebrahimzadeh Elias , Fallahi Alireza , Habibabadi Jafar Mehvari , Nazem-Zadeh Mohammad-Reza , Soltanian-Zadeh Hamid 
Published: January 2025

Abstract

Localization of the seizure onset zone (SOZ) as a step of presurgical planning leads to higher efficiency in surgical and stimulation treatments. However, the clinical localization including structural, ictal, and invasive data acquisition and assessment is a difficult and long procedure with increasing challenges in patients with complex epileptic foci. The interictal methods are proposed to assist in presurgical planning with simpler data acquisition and higher speed. In this study, spatio-temporal component classification is presented for the localization of epileptic foci using resting-state functional magnetic resonance imaging (rs-fMRI) data. This method is based on spatio-temporal independent component analysis (ST-ICA) on rs-fMRI with a component-sorting procedure upon dominant power frequency, biophysical constraints, spatial lateralization, local connectivity, temporal energy, and functional non-Gaussianity. This method aimed to utilize the rs-fMRI potential to reach a high spatial accuracy in localizing epileptic foci from interictal data while retaining the reliability of results for clinical usage. Thirteen patients with temporal lobe epilepsy (TLE) who underwent surgical resection and had seizure-free surgical outcomes after a 12-month follow-up were included in this study. All patients had pre-surgical structural MRI and rs-fMRI while post-surgical MRI images were available for ten. Based on the relationship between the localized foci and resection, the results were classified into three groups “fully concordant”, “partially concordant”, and “discordant”. These groups had the resulting cluster aligned with, in the same lobe with, and outside the lobe of the resection area, respectively. This method showed promising results highlighting valuable features as SOZ functional biomarkers. Contrary to most methods which depend on simultaneous EEG information, the occurrence of epileptic spikes, and the depth of the epileptic foci, the presented method is entirely based on fMRI data making it independent from such information and considerably easier in terms of data acquisition, artifact removal, and implement.
Laboratory Re-Crystallization Synthesis as an Analogue for Hydrothermal Synthesis of Naturally Occurring Minerals
Authors: IGUNIWEI Paul Biedomo , NWAEDOZIE Jonathan Maduka , MOHAMMED Ya’u 
Published: January 2025

Abstract

Materials phase characterization results from a laboratory-based synthesis presented striking similarities with some minerals in the earth’s crust. A laboratory recrystallization synthesis method produced a sucrose potassium nitrate (KNSU) composite propellant doped with magnesium oxide MgO in triplicate (5%, 10% and 15%). The samples were characterized for crystallinity and phase/molecular composition. The XRD results showed a composite with multiple crystal systems, confirming the presence of Orthorhombic/KNO3, and Cubic/MgO systems. Monoclinic/Al2(PO4) (OH)3 was present only in the (10%) and (15%) MgO/KNSU ratios, confirming the crystalline nature and property of the KNSU MgO-doped propellant. Phase compositional analysis provides quantitative average percentages of Niter 43.9, Periclase 14.9, Chaoite 2.1, Quartz 9.2, Marialite 19.7. While carpathite mineral 4.4% was found only in the 5% MgO doped KNSU composite, Augelite mineral was found in the 10% and 15% MgO doped samples as an average of 13.0%. Phase molecules identified includes (-C≡C-)n for Chaoite, C24 H12 for Carpathite, SiO2 for Quartz, Na6.32 Ca1.52 (Al7.37 Si16) for Marialite and Al2(PO 4)(OH)3 for Augelite. Compared to research found in the literature, it was found that nature has also produced these minerals with similar qualitative characterization outcomes. The cause for these similar outcomes was deduced to come from the similar production methods of recrystallization and hydrothermal synthesis. One can further infer that laboratory recrystallization techniques can be used to model for research studies mimicking nature’s method(s) of synthesizing the minerals found in the earth’s crust.
O AVANÇO DA PASTAGEM SOBRE AS ÁREAS DE PRESERVAÇÃO PERMANENTE NA BACIA HIDROGRÁFICA DO RIO VERMELHO - ESTADO DE GOIÁS
Authors: Gomes do Nascimento Vieira Arlete , Eduardo Ferreira Manuel 
Published: January 2025

Resumo

Áreas de Preservação Permanente na Bacia Hidrográfica do Rio Vermelho estão sendo usadas ou ocupadas pelas pastagens, colocando em risco todo o seu ecossistema bem como provocando escassez e secamento dos rios. O objetivo desta pesquisa foi a avaliar a quantidade de Áreas de Preservação Permanente que foram usadas e ocupadas pela pastagem. Para tanto, realizou-se levantamento de dados em campo na Bacia Hidrográfica do Rio Vermelho (BHRV) no estado de Goiás. Utilizando os recursos disponíveis no geoprocessamento, foi possível mapear o uso da terra e delimitar as Áreas de Preservação Permanente que foram usadas e ocupadas pela pastagem perfazendo um total de 48% de Áreas de Preservação Permanente de rios nessa situação.
ANÁLISE TERRITORIAL: UMA PROPOSTA COM BASE NOS CONCEITOS DE ICONOGRAFIA E CIRCULAÇÃO, DE JEAN GOTTMAN
Authors: Correia Reginaldo , Cigolini Adilar 
Published: January 2025

Os povos tradicionais, em particular os faxinalenses, têm em seu território o fundamento do seu modo de vida. O geógrafo Jean Gottmann (1915-1994) procurou entender as variações espaciais com base no conflito entre a circulação e as iconografias, a primeira definida como as mudanças externas impostas ao território, e segunda como as ações internas evocadas para resistir as externalidades. Dessa forma, este trabalho objetiva sugerir uma proposta de análise baseada nos conceitos de Iconografia e Circulação de Gottmann para a análise territorial, usando como referência o território faxinalense. O método subjacente à construção de todo texto está no entendimento da realidade como conflito, que se manifesta no encontro da circulação com as iconografias. Como resultado, tem-se que a concepção de Gottmann é um aporte teórico-metodológico que pode ser utilizado para a interpretação do território e seus conflitos.
Are Nurses Working in Mental Health in a Time of Changing Approaches More Exposed to Stress than other Professionals? Job Satisfaction and Perception of Respect for the Rights of Users in Seven Different Countries Worldwide
Authors: Aviles Gonzalez Cesar Ivan , De Matteis Sara , Abarca Arias Yessika Madelaine , Cerchiaro Fernandez Doris Marina , Guerra Munoz Martha Esther , Kalcev Goce , Galletta Maura , Pinna Maria Rita , Ramirez Rober Romero , Brasesco Maria Veronica , Ouali Uta , Bert Fabrizio , Eskin Mehmet , Tusconi Massimo , Carta Mauro Giovanni 
Published: January 2025

Background
The perception of respect for users' rights is fundamental for organizational well-being in mental health services. This cross-sectional observational study examined the job satisfaction and perception of user rights among nursing staff compared to other health professionals across seven countries in the Mediterranean and Latin American regions. This research measures this perception among nursing staff in different countries, with a particular focus on regional differences and professional roles.

Methods
Data were collected from mental health services in four Mediterranean and three Latin American countries via a structured questionnaire (Well-Being at Work and Respect Rights Questionnaire - WWRR), administered both online and on paper. Using multivariable logistic regression, the study analyzed associations between job satisfaction, respect for rights, and various socio-demographic and professional factors.

Results
Among 408 nurses and 492 other health professionals, findings revealed significant cross-country variability. Nurses in North Macedonia reported higher job satisfaction and perceived respect for user rights than other professionals (p<0.0001 in all items of the questionnaire), while Tunisian nurses showed lower organizational satisfaction but higher respect for user rights (p=0.033 for respect for rights). However, in general, no significant differences were found between nurses and other professionals across all items.

Conclusion
The perception of respect for users' rights is fundamental for organizational well-being in mental health services. The study highlights differences in organizational well-being perceptions across various contexts, emphasizing the need for culturally and economically adapted policies to improve mental health service environments globally. The results indicate the variability in the perception of respect for rights and job satisfaction between different geographical and professional contexts. This indicates the need for policies adapted to specific cultural and economic realities to improve organizational well-being in mental health services.
Performance Assessment of Large Language Models in Medical Consultation: Comparative Study
Authors: Seo Sujeong , Kim Kyuli , Yang Heyoung 
Published: January 2025

Background
The recent introduction of generative artificial intelligence (AI) as an interactive consultant has sparked interest in evaluating its applicability in medical discussions and consultations, particularly within the domain of depression.

Objective
This study evaluates the capability of large language models (LLMs) in AI to generate responses to depression-related queries.

Methods
Using the PubMedQA and QuoraQA data sets, we compared various LLMs, including BioGPT, PMC-LLaMA, GPT-3.5, and Llama2, and measured the similarity between the generated and original answers.

Results
The latest general LLMs, GPT-3.5 and Llama2, exhibited superior performance, particularly in generating responses to medical inquiries from the PubMedQA data set.

Conclusions
Considering the rapid advancements in LLM development in recent years, it is hypothesized that version upgrades of general LLMs offer greater potential for enhancing their ability to generate “knowledge text” in the biomedical domain compared with fine-tuning for the biomedical field. These findings are expected to contribute significantly to the evolution of AI-based medical counseling systems.
Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review
Authors: Hassan Lamiece , Milton Alyssa , Sawyer Chelsea , Casson Alexander J , Torous John , Davies Alan , Ruiz-Yu Bernalyn , Firth Joseph 
Published: January 2025

Background
Digital wearable devices, worn on or close to the body, have potential for passively detecting mental and physical health symptoms among people with severe mental illness (SMI); however, the roles of consumer-grade devices are not well understood.

Objective
This study aims to examine the utility of data from consumer-grade, digital, wearable devices (including smartphones or wrist-worn devices) for remotely monitoring or predicting changes in mental or physical health among adults with schizophrenia or bipolar disorder. Studies were included that passively collected physiological data (including sleep duration, heart rate, sleep and wake patterns, or physical activity) for at least 3 days. Research-grade actigraphy methods and physically obtrusive devices were excluded.

Methods
We conducted a systematic review of the following databases: Cochrane Central Register of Controlled Trials, Technology Assessment, AMED (Allied and Complementary Medicine), APA PsycINFO, Embase, MEDLINE(R), and IEEE XPlore. Searches were completed in May 2024. Results were synthesized narratively due to study heterogeneity and divided into the following phenotypes: physical activity, sleep and circadian rhythm, and heart rate.

Results
Overall, 23 studies were included that reported data from 12 distinct studies, mostly using smartphones and centered on relapse prevention. Only 1 study explicitly aimed to address physical health outcomes among people with SMI. In total, data were included from over 500 participants with SMI, predominantly from high-income countries. Most commonly, papers presented physical activity data (n=18), followed by sleep and circadian rhythm data (n=14) and heart rate data (n=6). The use of smartwatches to support data collection were reported by 8 papers; the rest used only smartphones. There was some evidence that lower levels of activity, higher heart rates, and later and irregular sleep onset times were associated with psychiatric diagnoses or poorer symptoms. However, heterogeneity in devices, measures, sampling and statistical approaches complicated interpretation.

Conclusions
Consumer-grade wearables show the ability to passively detect digital markers indicative of psychiatric symptoms or mental health status among people with SMI, but few are currently using these to address physical health inequalities. The digital phenotyping field in psychiatry would benefit from moving toward agreed standards regarding data descriptions and outcome measures and ensuring that valuable temporal data provided by wearables are fully exploited.

Trial Registration
PROSPERO CRD42022382267; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=382267
Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey
Authors: Choomung Pichsinee , He Yupeng , Matsunaga Masaaki , Sakuma Kenji , Kishi Taro , Li Yuanying , Tanihara Shinichi , Iwata Nakao , Ota Atsuhiko 
Published: January 2025

Abstract

Background
Estimating the prevalence of schizophrenia in the general population remains a challenge worldwide, as well as in Japan. Few studies have estimated schizophrenia prevalence in the Japanese population and have often relied on reports from hospitals and self-reported physician diagnoses or typical schizophrenia symptoms. These approaches are likely to underestimate the true prevalence owing to stigma, poor insight, or lack of access to health care among respondents. To address these issues, we previously developed an artificial neural network (ANN)–based schizophrenia classification model (SZ classifier) using data from a large-scale Japanese web-based survey to enhance the comprehensiveness of schizophrenia case identification in the general population. In addition, we also plan to introduce a population-based survey to collect general information and sample participants matching the population’s demographic structure, thereby achieving a precise estimate of the prevalence of schizophrenia in Japan.

Objective
This study aimed to estimate the prevalence of schizophrenia by applying the SZ classifier to random samples from the Japanese population.

Methods
We randomly selected a sample of 750 participants where the age, sex, and regional distributions were similar to Japan’s demographic structure from a large-scale Japanese web-based survey. Demographic data, health-related backgrounds, physical comorbidities, psychiatric comorbidities, and social comorbidities were collected and applied to the SZ classifier, as this information was also used for developing the SZ classifier. The crude prevalence of schizophrenia was calculated through the proportion of positive cases detected by the SZ classifier. The crude estimate was further refined by excluding false-positive cases and including false-negative cases to determine the actual prevalence of schizophrenia.

Results
Out of 750 participants, 62 were classified as schizophrenia cases by the SZ classifier, resulting in a crude prevalence of schizophrenia in the general population of Japan of 8.3% (95% CI 6.6%-10.1%). Among these 62 cases, 53 were presumed to be false positives, and 3 were presumed to be false negatives. After adjustment, the actual prevalence of schizophrenia in the general population was estimated to be 1.6% (95% CI 0.7%-2.5%).

Conclusions
This estimated prevalence was slightly higher than that reported in previous studies, possibly due to a more comprehensive disease classification methodology or, conversely, model limitations. This study demonstrates the capability of an ANN-based model to improve the estimation of schizophrenia prevalence in the general population, offering a novel approach to public health analysis.
Propuesta de enunciados de competencias del periodoncista implantólogo egresado de la DEPeI, UNAM
Authors: Yáñez Ocampo Raquel 
Published: January 2025

Los enunciados de competencias del graduado, describiendo lo mínimo que debe saber el egresado de la especialización de periodoncia e implantología, lo que requiere dominar para poder prevenir, diagnosticar y tratar a la población mexicana con sus necesidades específicas en cuanto a problemas periodontales y periimplantarios. Este artículo es una propuesta y tiene la finalidad de señalar las vías que han sido abiertas en el presente, y para el futuro del tema. Siguiendo la metodología empleada para la creación del plan de estudios titulado “Licenciatura de Cirujano Dentista con opciones técnicas profesionales de Laboratorista Dental e Higienista Oral, 2014”, se realizó: a) una evaluación diagnóstica del plan de estudios de la especialización y b) un estudio prospectivo de enfermedades sistémicas y bucodentales en México para fundamentar las competencias del egresado.
En este trabajo se presentan las competencias del periodoncista implantólogo graduado de la depei fo, unam. Además, se indica la taxonomía que se utiliza iniciando por la macrocompetencia, los dominios, las competencias mayores y las de apoyo. Aunque la literatura reporta los enunciados con las competencias que describen al odontólogo que ha de trabajar en las diferentes regiones del mundo, aún están pendientes los enunciados de las especializaciones tomando como base uno de los puntos clave dentro del proyecto Tuning que es: respetar las particularidades y demandas de cada contexto, es decir, “Armonización de las estructuras y programas educativos respetando su diversidad y autonomía”.
Artificial Intelligence in Auditing: How Auditor AI Use Can Mitigate Legal Liability
Authors: Libby Robert , Witz Patrick D. 
Published: January 2025

SUMMARY
Audit firms are investing billions of dollars into artificial intelligence (AI) technology. These investments have the potential to transform the audit landscape and potentially improve the efficiency and effectiveness of audit processes. These investments might also result in wider benefits for audit firms, as audit firms can leverage this technology to reinforce perceived objectivity and trust in the audit. This article summarizes a recent study by Libby and Witz (2024) that finds that the use of AI can help mitigate auditor liability by limiting the effects of the appearance of auditor independence conflicts on juror negligence assessments. This article discusses the implications of these findings. It discusses how these findings indicate a potential solution to a long-standing dilemma that audit firms have faced, where audit firms may desire to invest in favorable relationships with their audit clients while also being seen as performing objective and unbiased audit work.
Is Stakeholder Orientation Related to Corporate Tax Avoidance? New Evidence
Authors: Lin Kenny Z. , Yang Shijie , Zou Hong 
Published: January 2025

SYNOPSIS
Our study examines how constituency statutes influence corporate tax avoidance. These state-level laws allow corporate boards to consider the interests of all stakeholders, not just shareholders, in their decisions. Using recent econometric advances in staggered difference-in-differences estimations, we find that after these laws are adopted, firms affected by these laws reduce their tax avoidance. This effect is stronger in firms that previously avoid more taxes or have lower corporate social responsibility ratings. Our study provides valuable insights into how stakeholder orientation influences tax behavior, offering practical implications for both corporate managers and policymakers.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: H26; K22; M14; M41.
COSO Framework Adoption and Cybersecurity Breaches
Authors: Tadesse Amanuel , Walton Stephanie , Zhang Yiyang 
Published: January 2025

ABSTRACT
The COSO 2013 framework presents a substantial change for firms utilizing the previous (1992) internal control framework. Consequently, adopting the updated COSO 2013 framework could expand the reach of information technology controls, particularly relating to a firm’s cybersecurity activities. However, the transition and integration of the new framework into existing control systems could fail to meet the framework’s guiding principles, potentially increasing a firm’s risks. We examine whether COSO 2013 framework adoption is associated with lower cybersecurity risk exposure. We expect and find that COSO framework adoption is associated with lower breach risk, up to three years in the future. We further provide evidence that utilizing the updated framework can benefit a firm’s internal control evaluation practices, resulting in the identification of information technology material weaknesses prior to breach occurrence. Our study contributes new knowledge to the burgeoning COSO framework and cybersecurity literatures.
The Effects of Insulating and Noninsulating Cost Allocations on Cooperation and Risk-Taking
Authors: Brown Jason L. , Sprinkle Geoffrey B. , Way Dan 
Published: January 2025

ABSTRACT
Cost allocations affect managers’ reported performance, making the selection of allocation methods an important control choice. Noninsulating allocations distribute costs based on realized relative performance, whereas insulating allocations are independent of relative performance. As such, noninsulating allocations create a contemporaneous interdependence between managers’ outcomes that is not present under insulating allocations. We conduct two experiments to examine how insulating and noninsulating cost allocations influence two important behaviors—cooperation and risk-taking—that impact firm performance and that theory suggests are likely affected by the fundamental differences between the two allocation methods. We find that noninsulating allocations lead to greater cooperation between managers, and greater risk-taking, than insulating allocations. We also find that noninsulating allocations lead to stronger group identification but are perceived to be less fair than insulating allocations. Collectively, our findings contribute to research and practice regarding the use of cost allocations to motivate desired attitudes and behaviors.
Data Availability: Data are available from the authors upon request.
Do Reporting Incentives and Consequences Change under the New Lease Accounting Standard?
Authors: Christensen Derek M. , Linsmeier Thomas J. , Wangerin Daniel D. 
Published: January 2025

ABSTRACT
This research evaluates whether reporting incentives and consequences change under the new lease accounting standard. Under prior guidance (SFAS 13), we predict and find firms with high financing cost sensitivities to leverage have greater incentive to finance investments with operating leases. Under the new lease accounting standard (ASU 2016-02), we predict and find this leverage incentive remains but is reduced, consistent with the FASB’s objective to limit opportunities to structure lease contracts for balance sheet purposes. Under ASU 2016-02, we also predict and find that the leverage incentive encourages firms to reduce operating lease liabilities by decreasing the duration of minimum lease payments. Lastly, we predict and find that firms use fewer operating leases under both SFAS 13 and ASU 2016-02 when managers’ income objectives exclude depreciation and/or interest expense. These findings suggest reporting incentives remain post ASU 2016-02 that encourage firms to structure leases to achieve accounting outcomes.
Data Availability: This study uses licensed data from a variety of sources (see Appendix A for a detailed list of providers).
JEL Classifications: D82; G34; M41.