bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oncologists’ communication about tobacco and alcohol use during treatment for esophagogastric cancer: a qualitative observational study of simulated consultations
Authors: Hoek Danique W. Bos-van den , van de Water Loïs F. , Vos Pieter G. , Hoedjes Meeke , Roodbeen Ruud , Klarenbeek Bastiaan R. , Geijsen Debby , Smets Ellen M. A. , van Laarhoven Hanneke W. M. , Henselmans Inge 
Published: September 2024

Abstract
Purpose
Tobacco and alcohol use influence cancer risk as well as treatment outcomes, specifically for esophageal and gastric cancer patients. Therefore, it is an important topic to discuss during consultations. This study aims to uncover medical, radiation, and surgical oncologists’ communication about substance use, i.e., tobacco and alcohol use, in simulated consultations about curative and palliative esophagogastric cancer treatment.

Methods
Secondary analyses were performed on n = 40 standardized patient assessments (SPAs) collected in three Dutch clinical studies. Simulated patients with esophagogastric cancer were instructed to ask about smoking or alcohol use during treatment. The responses of the 40 medical, radiation, and surgical oncologists were transcribed verbatim, and thematic analysis was performed in MAXQDA.

Results
Oncologists consistently advocated smoking cessation during curative treatment. There was more variation in their recommendations and arguments in the palliative compared to the curative setting and when addressing alcohol use instead of smoking. Overall, oncologists were less stringent regarding behavior change in the palliative than in the curative setting. Few oncologists actively inquired about the patient’s perspective on the substance use behavior, the recommended substance use change, or the support offered.

Conclusion
Clear guidelines for oncologists on when and how to provide unequivocal recommendations about substance use behavior change and support to patients are needed. Oncologists might benefit from education on how to engage in a conversation about smoking or alcohol.
A Method for Analyzing Data from 1- and 2-Dimensional Relaxation and Diffusion NMR Experiments by Determination of their Expectation Values and Standard Deviations
Authors: Sørland Geir Humborstad , Anthonsen Henrik Walbye , Simon Sebastien 
Published: September 2024

AbstractA method for analyzing ill-posed multi-exponentially decaying data from 1- and 2-Dimensional experiments by Determination of the Expectation Values and their Standard Deviation has been developed. It combines a repeated use of the discrete Anahess approach for analyzing the dynamic data where a regrouping of the noise in the data is performed for each repetition. These resulting expectation values are used as initial and restricting values to produce a distribution using the Inverse Laplace transform, where position and volume of the distribution can then be reported with expectation value and standard deviation. The method is verified on synthetic data and tested on real data in both one and two dimensions.
Reconstructive surgical therapy of peri-implant defects with ribose cross-linked collagen matrix and crosslinked hyaluronic acid – a prospective case series
Authors: Friedmann Anton , Jung Rico , Bilhan Hakan , Ghawi-Begovic Hanan Al , Kauffmann Frederic , Diehl Daniel 
Published: September 2024

Abstract
Objective
To investigate the efficacy of ribose-crosslinked collagen (RCLC) matrices functionalized by crosslinked hyaluronic acid (xHya) for reconstructive treatment of class I and III (b-c) peri-implantitis lesions in a transmucosal healing mode.

Materials and methods
Thirteen patients presenting with 15 implants were included in this prospective case series. Upon flap reflection, the implants were thoroughly decontaminated employing glycine powder air polishing and adjunctive sodium hypochlorite. For defect augmentation, xHyA was administered to the bony defect walls, exposed implant surfaces, and the RCLC matrix before defect grafting. The full-thickness flap was readapted and sutured around the implant neck for transmucosal healing. Baseline and respective values at the 12 months post-op evaluation were recorded for the clinical parameters peri-implant probing depth (PPD), buccal soft tissue dehiscence (BSTD) and bleeding on probing (BoP). Furthermore, two independent investigators analyzed radiographic changes in the defect area. The mean changes for all variables were analyzed with a paired t-test.

Results
The initial mean PPD was 7.2 ± 1.9 mm, and BoP was present in 63% of sites. After 12 months, PPD at the latest visit was 3.2 ± 0.66 mm, which amounted to a respective 3.9 ± 1.85 mm reduction, while the BoP frequency dropped to 10% at all sites. Radiographic bone fill was accomplished for 62.8% of the former defect area, accompanied by a mean MBL gain of 1.02 mm around the treated implants (all p < 0.001).

Conclusions
Within the limits of this case series, we conclude that the proposed treatment sequence substantially improved peri-implant defects and offered a simplified but predictive technique.

Clinical relevance
Reconstructive treatment approaches for peri-implantitis are effective but remain non-superior to open flap debridement. Further research on novel biomaterial combinations that may improve reconstructive treatment outcomes are warranted. Ribose-crosslinked collagen matrices biofunctionalized by hyaluronic acid used in this study yield improved clinical and radiographic peri-implant conditions after 12 months.

Graphical Abstract
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
Authors: Mutalib Noor Hazlina Abdul , Sabri Aznul Qalid Md , Wahab Ainuddin Wahid Abdul , Abdullah Erma Rahayu Mohd Faizal , AlDahoul Nouar 
Published: September 2024

AbstractIn recent years, Advanced Persistent Threat (APT) attacks on network systems have increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) suffer from low detection accuracy, high false-positive rates, and difficulty identifying unknown attacks such as remote-to-local (R2L) and user-to-root (U2R) attacks. This paper addresses these challenges by providing a foundational discussion of APTs and the limitations of existing detection methods. It then pivots to explore the novel integration of deep learning techniques and Explainable Artificial Intelligence (XAI) to improve APT detection. This paper aims to fill the gaps in the current research by providing a thorough analysis of how XAI methods, such as Shapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), can make black-box models more transparent and interpretable. The objective is to demonstrate the necessity of explainability in APT detection and propose solutions that enhance the trustworthiness and effectiveness of these models. It offers a critical analysis of existing approaches, highlights their strengths and limitations, and identifies open issues that require further research. This paper also suggests future research directions to combat evolving threats, paving the way for more effective and reliable cybersecurity solutions. Overall, this paper emphasizes the importance of explainability in enhancing the performance and trustworthiness of cybersecurity systems.
Countering surveillance: using actor-network theory to understand how organised crime is displaced and harms arise as offenders become invisible to the gaze of electronic monitoring and law enforcement
Authors: Berry Carl R. , Berry Mark A. 
Published: September 2024

AbstractThe intensification of surveillance is claimed to have created a new era of crime control, which renders visible, activities that were once beyond the purview of justice agencies. Nevertheless, little data has been gathered concerning how offenders within organised crime groups navigate this optically penetrated terrain to become invisible and continue their illegal pursuits. This article compares ethnographic findings from two separate investigations: of offenders subject to the surveillant penalty of Electronic Monitoring and organised criminals under the investigative observation of law enforcement. It shows how organised offending becomes displaced and worse harms arise as they deploy counter-surveillance strategies, despite facing increased odds of detection. These findings are theorised through actor-network theory, an approach which asserts that objects have agency and can achieve/frustrate socio-technical goals, to highlight how surveillance becomes negotiable for organised offenders.
What is university success? Graduates with disabilities define it
Authors: Pais Mª Emma Mayo , Moriña Díez Anabel , Morgado Beatriz 
Published: September 2024

AbstractThis article explores the concept of university success from the perspective of 95 Spanish graduates (62.1% women and 37.9% men) with different types of disabilities, identifying situations in which the participants felt that they were successful at university. The data of this qualitative study were gathered through a semi-structured interview and analyzed with an emerging and progressive system of categories and codes. According to the obtained results, university success is a dynamic and multidimensional concept that consists of different elements, and it is defined through eight components: graduating, attaining the set goal, learning process, social experience, personal growth, professional success, obtaining good marks, and recognition. These results must be considered by universities to promote success among students with disabilities, by fostering their participation in the university experiences and offering them opportunities to attain their academic and professional goals. Future research on university success must delve further into the concept of university success from a holistic perspective that contemplates all these elements.
Path integral for the quartic oscillator: an accurate analytic formula for the partition function
Authors: Caffarel Michel 
Published: September 2024

Abstract
In this work an approximate analytic expression for the quantum partition function of the quartic oscillator described by the potential

$$V(x) = \frac{1}{2} \omega ^2 x^2 + g x^4$$

V

(
x
)

=

1
2

ω
2

x
2

+
g

x
4

is presented. Using a path integral formalism, the exact partition function is approximated by the partition function of a harmonic oscillator with an effective frequency depending both on the temperature and coupling constant g. By invoking a Principle of Minimal Sensitivity (PMS) of the path integral to the effective frequency, we derive a mathematically well-defined analytic formula for the partition function. Quite remarkably, the formula reproduces qualitatively and quantitatively the key features of the exact partition function. The free energy is accurate to a few percent over the entire range of temperatures and coupling strengths g. Both the harmonic (

$$g\rightarrow 0$$

g
→
0

) and classical (high-temperature) limits are exactly recovered. The divergence of the power series of the ground-state energy at weak coupling, characterized by a factorial growth of the perturbational energies, is reproduced as well as the functional form of the strong-coupling expansion along with accurate coefficients. Explicit accurate expressions for the ground- and first-excited state energies,

$$E_0(g)$$

E
0

(
g
)

and

$$E_1(g)$$

E
1

(
g
)

are also presented.
Robotic navigation with deep reinforcement learning in transthoracic echocardiography
Authors: Shida Yuuki , Kumagai Souto , Iwata Hiroyasu 
Published: September 2024

Abstract

Purpose
The search for heart components in robotic transthoracic echocardiography is a time-consuming process. This paper proposes an optimized robotic navigation system for heart components using deep reinforcement learning to achieve an efficient and effective search technique for heart components.

Method
The proposed method introduces (i) an optimized search behavior generation algorithm that avoids multiple local solutions and searches for the optimal solution and (ii) an optimized path generation algorithm that minimizes the search path, thereby realizing short search times.

Results
The mitral valve search with the proposed method reaches the optimal solution with a probability of 74.4%, the mitral valve confidence loss rate when the local solution stops is 16.3% on average, and the inspection time with the generated path is 48.6 s on average, which is 56.6% of the time cost of the conventional method.

Conclusion
The results indicate that the proposed method improves the search efficiency, and the optimal location can be searched in many cases with the proposed method, and the loss rate of the confidence in the mitral valve was low even when a local solution rather than the optimal solution was reached. It is suggested that the proposed method enables accurate and quick robotic navigation to find heart components.
Management of Pulmonary Toxicities Associated with Systemic Therapy in Non Small Cell Lung Cancer
Authors: Velimirovic Marko , Brignola Matthew , Chheng Emily , Smith Michael , Hassan Khaled A. 
Published: September 2024

Opinion StatementDrug-induced pneumonitis is a common adverse event that may occur during lung cancer systemic therapy. The incidence/prevalence of this side effect has increased due to recent extensive use of immunotherapy. Although pneumonitis prevalence is increased with the use of immune checkpoint inhibitors, it is also associated with chemotherapy and targeted therapy. Pneumonitis can occur early after drug exposure or present after several cycles of treatment. Its severity can range from insidious to fulminant, leading to hospitalization. In most cases, the diagnosis is made based on medical history, temporal correlation with use of lung cancer systemic therapy, and computed tomography (CT) findings. In the majority of cases, stopping the offending drug and use of corticosteroids is the sufficient treatment; however, patients with more severe forms of pneumonitis require additional immunosuppressive agents. In this review, we address pneumonitis caused by chemotherapy, antibody–drug conjugates, targeted therapy, or immunotherapy, and provide a detailed management approach.
Air Pollution and Osteoporosis
Authors: Allen Olivia , Knight Martin M. , Verbruggen Stefaan W. 
Published: September 2024

Abstract
Purpose of Review
The purpose of this review is to provide a background of osteoporosis and air pollution, discussing increasing incidence of the disease with exposure to pollutants and the role that inflammation may play in this process.

Recent Findings
Osteoporosis-related fractures are one of the most pressing challenges for the ageing global population, with significant increases in mortality known to occur after major osteoporotic fractures in the elderly population. Recent studies have established a firm correlative link between areas of high air pollution and increased risk of osteoporosis, particularly alarming given the increasingly urban global population. While the culprit pollutants and molecular mechanisms underlying this phenomenon have not yet been elucidated, initial studies suggest a role for inflammatory cascades in this phenomenon.

Summary
While much more research is required to identify the most damaging air pollutants and to delineate the specific inflammatory molecular mechanisms, it is clear from the literature that shedding light on these pathways would unveil potential therapeutic targets to treat bone diseases, including osteoporosis. Major deficiencies of current animal models highlight the need for complex human invitro models such as organ-on-a-chip technology to better understand the impact of air pollution.
The Emerging Role of Artificial Intelligence and Automated Platforms for the Assessment of Penile Curvature: A Scoping Review
Authors: Lewis Kieran , DeAngelo Lydia , Raheem Omer , Bole Raevti 
Published: September 2024

Abstract
Purpose of the Review
The estimation of penile curvature is an essential component in the assessment of both Peyronie’s disease and hypospadias-associated congenital penile curvature, as the degree of curvature can significantly impact treatment decision-making. However, there is a lack of standardization in curvature assessment and current methodologies are prone to inaccuracies. With the rise of artificial intelligence (AI) in urology, new research has explored its applications in penile curvature assessment. This review aims to evaluate the current uses of AI and other automated platforms for assessing penile curvature.

Recent Findings
Several novel and promising tools have been developed to estimate penile curvature, some utilizing AI-driven models and others employing automated computational models. These platforms aim to improve curvature assessment in various settings, including at-home evaluation of Peyronie’s disease, in-office assessments using three-dimensional (3D) methodologies, and preoperative evaluations for hypospadias repair. In general, these new platforms produce highly accurate and reproducible angle estimates in non-clinical studies, however their effectiveness and relation to patient outcomes has had limited evaluation in clinical settings.

Summary
Significant advancements have been made in the assessment and estimation of penile curvature in both Peyronie’s and pediatric patients, largely driven by AI and other automated platforms. Continued research is needed to validate these findings in clinical studies, confirm their efficacy, and assess their feasibility for real-world applications.
A Systematic Review on the State of the Art of Culturally Adapted Mindfulness-Based Interventions for First Nations Peoples: Cultural Adaptation, Effectiveness, and Feasibility
Authors: Li Wendy Wen , McIntyre Rebecca , Reid Christopher , Chao Marc 
Published: September 2024

Abstract
Objectives
Mindfulness-based interventions (MBIs) have demonstrated efficacy in psychological and physiological domains. However, there is a limited body of research on MBIs specifically for First Nations peoples. The current review aimed to systematically evaluate the status of culturally adapted MBIs, examining their effectiveness and feasibility when applied to First Nations peoples.

Method
A systematic review was performed to synthesise the data from 10 reports of nine studies, with a combined sample size of 125 participants.

Results
The MBIs demonstrated adherence to elements of cultural adaptation, encompassing the aspects of persons, metaphors, content, goals, and concepts in all included studies. Overall, the quantitative evidence measuring the effectiveness of the adapted interventions showed improvements in psychological, physiological, and mindfulness aspects, as well as cultural elements and satisfaction with the programmes. However, there were minor mixed results observed in psychological outcomes and mindfulness measures. The qualitative findings highlighted that MBIs, by aligning with First Nations’ holistic spiritual beliefs, facilitated a means to reconnect with cultural and social identity. The maximum number of participants in the programmes ranged from 1 to 34. Participants were recruited through local community organisations, youth correctional facilities, long-term care facilities, Indigenous educational institutes, schools, universities, and word-of-mouth promotion. The pooled retention rate was relatively high at 85.2%, indicating that participants generally remained engaged throughout the programmes.

Conclusions
MBIs appear adaptable, effective, and feasible for First Nations peoples, with consistently positive outcomes. Based on the findings of the current review, a model of culturally adapted MBIs is proposed.

Preregistration
PROSPERO (Reg, CRD42023413826).
Surgical outcomes following neoadjuvant chemotherapy with and without immunotherapy in patients with triple-negative breast cancer
Authors: Holt Anouchka Coste , Smith Courtney A. , Berkowitz Maurice J. , Baker Jennifer L. , McAndrew Nicholas P. , Kapoor Nimmi S. 
Published: September 2024

Abstract
Purpose
Adding pembrolizumab to neoadjuvant chemotherapy (NAC) for triple-negative breast cancer (TNBC) improves pathologic complete response (pCR) rates and event-free survival. The impact of adding immunotherapy to NAC on surgical outcomes is unknown. This study compares 90-day post-surgical complications (PSCs) and time to adjuvant treatment among patients undergoing NAC for TNBC with and without immunotherapy.

Methods
Patients treated with NAC alone or with immunotherapy (NAC-I) for stage I–III TNBC between 2018 and 2022 were retrospectively identified at a single academic institution. Kruskal–Wallis rank sum and Fisher's exact tests compared patient sociodemographic and clinical characteristics. Multivariable logistic regression determined odds ratios (OR) predicting PSCs.

Results
Of 54 patients, 29 received NAC alone and 25 received NAC-I. Compared to NAC patients, NAC-I patients had more advanced stage tumors (p = 0.038), and had slightly higher rates of mastectomy with reconstruction (p = 0.193). 72.0% of NAC-I patients experienced a pCR, compared with 44.8% of NAC patients (p = 0.193). There were 10 PSCs (34.5%) in NAC patients compared to 9 PSCs (36.0%) in NAC-I patients (p > 0.99). Regression analysis demonstrated no association of PSCs with NAC-I (OR 0.83, 95% CI 0.19–3.60). Time to adjuvant therapy was shorter for NAC-I patients (28 days vs 36 days, p = 0.013).

Conclusions
Patients with TNBC receiving NAC-I have higher pCR rates and do not appear to have added 90-day PSCs or delays to adjuvant therapy despite trending toward more extensive surgical procedures compared to NAC alone. Larger studies are needed to further evaluate the surgical safety of immunotherapy.
CVIT expert consensus document on primary percutaneous coronary intervention (PCI) for acute coronary syndromes (ACS) in 2024
Authors: Ozaki Yukio , Tobe Akihiro , Onuma Yoshinobu , Kobayashi Yoshio , Amano Tetsuya , Muramatsu Takashi , Ishii Hideki , Yamaji Kyohei , Kohsaka Shun , Ismail Tevfik F. , Uemura Shiro , Hikichi Yutaka , Tsujita Kenichi , Ako Junya , Morino Yoshihiro , Maekawa Yuichiro , Shinke Toshiro , Shite Junya , Igarashi Yasumi , Nakagawa Yoshihisa , Shiode Nobuo , Okamura Atsunori , Ogawa Takayuki , Shibata Yoshisato , Tsuji Takafumi , Hayashida Kentaro , Yajima Junji , Sugano Teruyasu , Okura Hiroyuki , Okayama Hideki , Kawaguchi Katsuhiro , Zen Kan , Takahashi Saeko , Tamura Toshihiro , Nakazato Kazuhiko , Yamaguchi Junichi , Iida Osamu , Ozaki Reina , Yoshimachi Fuminobu , Ishihara Masaharu , Murohara Toyoaki , Ueno Takafumi , Yokoi Hiroyoshi , Nakamura Masato , Ikari Yuji , Serruys Patrick W. , Kozuma Ken ,   The Task Force on Primary Percutaneous Coronary Intervention (PCI) of the Japanese Association of Cardiovascular Intervention, Therapeutics (CVIT)
Published: September 2024

AbstractPrimary Percutaneous Coronary Intervention (PCI) has significantly contributed to reducing the mortality of patients with ST-segment elevation myocardial infarction (STEMI) even in cardiogenic shock and is now the standard of care in most of Japanese institutions. The Task Force on Primary PCI of the Japanese Association of Cardiovascular Intervention and Therapeutics (CVIT) proposed an expert consensus document for the management of acute myocardial infarction (AMI) focusing on procedural aspects of primary PCI in 2018 and updated in 2022. Recently, the European Society of Cardiology (ESC) published the guidelines for the management of acute coronary syndrome in 2023. Major new updates in the 2023 ESC guideline include: (1) intravascular imaging should be considered to guide PCI (Class IIa); (2) timing of complete revascularization; (3) antiplatelet therapy in patient with high-bleeding risk. Reflecting rapid advances in the field, the Task Force on Primary PCI of the CVIT group has now proposed an updated expert consensus document for the management of ACS focusing on procedural aspects of primary PCI in 2024 version.