bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies
Authors: Hamm Charlie A. , Baumgärtner Georg L. , Padhani Anwar R. , Froböse Konrad P. , Dräger Franziska , Beetz Nick L. , Savic Lynn J. , Posch Helena , Lenk Julian , Schallenberg Simon , Maxeiner Andreas , Cash Hannes , Günzel Karsten , Hamm Bernd , Asbach Patrick , Penzkofer Tobias 
Published: March 2024

Abstract
Objectives
To develop and test zone-specific prostate-specific antigen density (sPSAD) combined with PI-RADS to guide prostate biopsy decision strategies (BDS).

Methods
This retrospective study included consecutive patients, who underwent prostate MRI and biopsy (01/2012–10/2018). The whole gland and transition zone (TZ) were segmented at MRI using a retrained deep learning system (DLS; nnU-Net) to calculate PSAD and sPSAD, respectively. Additionally, sPSAD and PI-RADS were combined in a BDS, and diagnostic performances to detect Grade Group ≥ 2 (GG ≥ 2) prostate cancer were compared. Patient-based cancer detection using sPSAD was assessed by bootstrapping with 1000 repetitions and reported as area under the curve (AUC). Clinical utility of the BDS was tested in the hold-out test set using decision curve analysis. Statistics included nonparametric DeLong test for AUCs and Fisher-Yates test for remaining performance metrics.

Results
A total of 1604 patients aged 67 (interquartile range, 61–73) with 48% GG ≥ 2 prevalence (774/1604) were evaluated. By employing DLS-based prostate and TZ volumes (DICE coefficients of 0.89 (95% confidence interval, 0.80–0.97) and 0.84 (0.70–0.99)), GG ≥ 2 detection using PSAD was inferior to sPSAD (AUC, 0.71 (0.68–0.74)/0.73 (0.70–0.76); p < 0.001). Combining PI-RADS with sPSAD, GG ≥ 2 detection specificity doubled from 18% (10–20%) to 43% (30–44%; p < 0.001) with similar sensitivity (93% (89–96%)/97% (94–99%); p = 0.052), when biopsies were taken in PI-RADS 4-5 and 3 only if sPSAD was ≥ 0.42 ng/mL/cc as compared to all PI-RADS 3-5 cases. Additionally, using the sPSAD-based BDS, false positives were reduced by 25% (123 (104–142)/165 (146–185); p < 0.001).

Conclusion
Using sPSAD to guide biopsy decisions in PI-RADS 3 lesions can reduce false positives at MRI while maintaining high sensitivity for GG ≥ 2 cancers.

Clinical relevance statement
Transition zone-specific prostate-specific antigen density can improve the accuracy of prostate cancer detection compared to MRI assessments alone, by lowering false-positive cases without significantly missing men with ISUP GG ≥ 2 cancers.

Key Points
• Prostate biopsy decision strategies using PI-RADS at MRI are limited by a substantial proportion of false positives, not yielding grade group ≥ 2 prostate cancer.
• PI-RADS combined with transition zone (TZ)-specific prostate-specific antigen density (PSAD) decreased the number of unproductive biopsies by 25% compared to PI-RADS only.
• TZ-specific PSAD also improved the specificity of MRI-directed biopsies by 9% compared to the whole gland PSAD, while showing identical sensitivity.
On the effectiveness of deep material networks for the multi-scale virtual characterization of short fiber-reinforced thermoplastics under highly nonlinear load cases
Authors: Dey Argha Protim , Welschinger Fabian , Schneider Matti , Köbler Jonathan , Böhlke Thomas 
Published: March 2024

AbstractA key challenge for the virtual characterization of components manufactured using short fiber-reinforced thermoplastics (SFRTs) is the inherent anisotropy which stems from the manufacturing process. To address this, a multi-scale approach is necessary, leveraging deep material networks (DMNs) as a micromechanical surrogate, for a one-stop solution when simulating SFRTs under highly nonlinear long-term load cases like creep and fatigue. Therefore, we extend the a priori fiber orientation tensor interpolation for quasi-static loading (Liu et al. in Intelligent multi-scale simulation based on process-guided composite database. arXiv:2003.09491, 2020; Gajek et al. in Comput Methods Appl Mech Eng 384:113,952, 2021; Meyer et al. in Compos Part B Eng 110,380, 2022) using DMNs with a posteriori approach. We also use the trained DMN framework to simulate the stiffness degradation under fatigue loading with a linear fatigue-damage law for the matrix. We evaluate the effectiveness of the interpolation approach for a variety of load classes using a dedicated fully coupled plasticity and creep model for the polymer matrix. The proposed methodology is validated through comparison with composite experiments, revealing the limitations of the linear fatigue-damage law. Therefore, we introduce a new power-law fatigue-damage model for the matrix in the micro-scale, leveraging the quasi-model-free nature of the DMN, i.e., it models the microstructure independent of the material models attached to the constituents of the microstructure. The DMN framework is shown to effectively extend material models and inversely identify model parameters based on composite experiments for all possible orientation states and variety of material models.
Effects of post-exercise cold-water immersion on performance and perceptive outcomes of competitive adolescent swimmers
Authors: Batista Natanael P. , de Carvalho Flávia A. , Rodrigues Caio R. D. , Micheletti Jéssica K. , Machado Aryane F. , Pastre Carlos M. 
Published: March 2024

Abstract
Purpose
To evaluate the effects of repeated use of cold-water immersion (CWI) during a training week on performance and perceptive outcomes in competitive adolescent swimmers.

Methods
This randomized-crossover study included 20 athletes, who received each intervention [CWI (14 ± 1 °C), thermoneutral water immersion (TWI) (27 ± 1 °C) as placebo, and passive recovery (PAS)] three times a week between the land-based resistance training and swim training. The interventions were performed in a randomized order with a 1-week wash-out period. We tested athletes before and after each intervention week regarding swim (100 m freestyle sprints) and functional performance (flexibility, upper and lower body power, and shoulder proprioception). We monitored athlete’s perceptions (well-being, heaviness, tiredness, discomfort and pain) during testing sessions using a 5-item questionnaire. Athlete preferences regarding the interventions were assessed at the end of the study. We used generalized linear mixed models and generalized estimating equations for continuous and categorical variables, respectively (intervention x time).

Results
We found a time effect for swim performance (p = .01) in which, regardless the intervention, all athletes improved sprint time at post-intervention compared to baseline. There was an intervention effect for pain (p = .04) and tiredness (p = .04), but with no significant post-hoc comparisons. We found no significant effects for other outcomes. All athletes reported a preference for CWI or TWI in relation to PAS.

Conclusion
The repeated use of CWI throughout a training week did not impact functional or swim performance outcomes of competitive adolescent swimmers. Perceptive outcomes were also similar across interventions; however, athletes indicated a preference for both CWI and TWI.
Online learning of stable robust adaptive controllers design based on data-dependent feedback linearization with application to rotary inverted pendulum
Authors: Soydemir Mehmet Uğur , Şahin Savaş , Kocaoğlu Aykut , Bulucu Parvin , Güzeliş Cüneyt 
Published: March 2024

AbstractThis study introduces an online (supervised) learning method to design nonlinear auto-regressive moving average (NARMA) controllers for feedback-linearized nonlinear single-input single-output (SISO) systems. The algorithm ensures Schur stability of the overall closed-loop system and provides adaptiveness and robustness for the NARMA controllers. The first stage of the method derives, in a data-dependent way, a feedback-linearized model of the nonlinear plant by using its input and output sample pairs. The method’s second stage, which constitutes the novel part of the presented study, builds up an online learning scheme for the linear auto-regressive moving average (ARMA) controller based on an already learned feedback-linearized model of the nonlinear plant. During online supervised learning, ARMA parameters of the feedback-linearized SISO plant model and the closed-loop ARMA model are computed by minimizing the plant identification and the closed-loop system tracking errors. Both errors are defined as $${{\ell}}_{1,{\varvec{\varepsilon}}}$$

ℓ

1
,

ε

, namely ε-insensitive loss functions that provide NARMA controller the robustness against noise and outliers. The proposed online learning control algorithm is applied to a rotary inverted pendulum model and to a real rotary inverted pendulum setup. The tracking performance of the developed controller is compared with those of the linear quadratic regulator and coupled sliding mode controller in terms of mean square error.
Lung cancer after kidney transplantation: a 50-year experience at a single institution
Authors: Watanabe Hiroki , Kadomatsu Yuka , Hakiri Shuhei , Yoshioka Hiromu , Hiramitsu Takahisa , Futamura Kenta , Okada Manabu , Goto Norihiko , Narumi Shunji , Watarai Yoshihiko , Chen-Yoshikawa Toyofumi Fengshi 
Published: March 2024

Abstract
Purpose
To investigate the clinical characteristics of lung cancer that develops after kidney transplantation.

Methods
The clinical data of patients with lung cancer diagnosed after kidney transplantation were collected retrospectively. The medical records were extracted from our database. All patients underwent routine chest examination after kidney transplantation.

Results
In total, 17 lung tumors were detected in 15 (0.6%) of 2593 patients who underwent kidney transplantation at our institution. Eleven lung tumors were completely resected from a collective 10 patients (surgical group). The remaining five patients did not receive surgical treatment (nonsurgical group). The surgical group underwent wedge resection (n = 5), segmentectomy (n = 1), lobectomy (n = 3), and bilobectomy (n = 1). The pathological stages were 0 (n = 1), IA1 (n = 2), IA2 (n = 4), IA3 (n = 2), and IB (n = 1). The surgical group had a significantly better prognosis than the nonsurgical group. There were no perioperative complications related to kidney transplantation in either group.

Conclusions
Routine chest examination would be useful for the early diagnosis and treatment of lung cancer after kidney transplantation. Moreover, surgical resection for early-stage lung cancer was associated with a better prognosis for kidney transplantation patients.
Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study
Authors: Giannoulidis Apostolos , Gounaris Anastasios , Naskos Athanasios , Nikolaidis Nikodimos , Caljouw Daniel 
Published: March 2024

Abstract
In real-world industries, production line assets may be affected by several factors, both known and unknown, which dynamically and unpredictably evolve so that past data are of little value for present ones. In addition, data is collected without assigned labels. How can someone use run-to-failure data to develop a suitable solution toward achieving predictive maintenance (PdM) in this case? These issues arise in our case, which refers to a cold-forming press. Such a setting calls for an unsupervised solution that can predict upcoming failures investigating a wide spectrum of approaches, namely similarity-based, forecasting-based and deep-learning ones. But before we decide on the best solution, we first need to understand which key performance indicators are appropriate to evaluate the impact of each such solution. A comprehensive study of available evaluation methods is presented, highlighting misconceptions and limitations of broadly used evaluation metrics concerning run-to-failure data, while proposing an extension of state-of-the-art range-based anomaly detection evaluation metrics to serve PdM purposes. Finally, an investigation of pre-processing, distance metrics, incorporation of domain expertise, and the role of deep learning shows how to engineer an unsupervised solution for predictive maintenance providing insightful answers to all these problems. Our experimental evaluation showed that judicious design choices can improve efficiency of solutions up to two times.
Exploring the Occupational Lifestyle Experiences of the Families of Public Safety Personnel
Authors: Richmond Rachel , Ricciardelli Rosemary , Dekel Rachel , Norris Deborah , Mahar Alyson , MacDermid Joy , Fear Nicola T. , Gribble Rachael , Cramm Heidi 
Published: March 2024

Abstract
Purpose
Public safety personnel, including first responders, are regularly exposed to physical, social, and psychological risks and occupational requirements. These risks and requirements extend beyond the employee and may also impact the families (for example, work-family conflict, compassion fatigue). Despite recent attention directed at the population’s wellness, considerably less attention is directed towards the family. This review investigates how the risks and requirements associated with these occupations affect families’ lives and experiences, and correspondingly, how families respond and adapt to these risks.

Methods
In the current qualitative review, we sought to identify and describe the lifestyle experiences of public safety families as they navigate the occupational risks and requirements of public safety work. The inclusion criteria resulted in an analysis of 18 articles, representing only police (n = 11), paramedics (n = 7), and firefighting (n = 10) sectors.

Results
We identified and described the experiences of public safety families both by occupation and familial role. Shared familial themes across occupational groups included ‘Worry’, ‘Communication’, ‘Where do I turn’, ‘Are they okay’, ‘Serving alongside’, and ‘(Over)Protective’. However, distinct themes also emerged between different occupational groups and family configurations. Themes prevalent amongst primarily children of police included: ‘Worry’, ‘Let’s Laugh Instead’, ‘(Over)Protective’, and ‘I’m not the Police, my Parent is!’. Experiences differed if the family contained on serving public safety personnel or multiple.

Conclusion
We identified the shared and unique occupational experiences of public safety families. This review normalizes these experiences and emphasizes the need to develop initiatives to improve the well-being of families and safety employees.
Controllability of the time-varying fractional dynamical systems with a single delay in control
Authors: Vishnukumar K. S. , Sivalingam S. M. , Ahmad Hijaz , Govindaraj V. 
Published: March 2024

AbstractIn this article, we explored the controllability of fractional dynamical systems with a single delay in the control function with the Caputo fractional derivative. It is the first work in which the author studies the controllability of a time-varying fractional dynamical system with a delay in the control function. We develop the necessary and sufficient criteria for the solution representation of controllability of time-varying fractional linear dynamical systems by utilizing the Grammian matrix. We use Schauder’s fixed point theorem to establish sufficient conditions for the controllability of time-varying nonlinear fractional dynamical systems. With the help of successive approximation techniques, numerical examples validate the theoretical results.
De-internationalization of cross-border investments from a de-globalization perspective: a systematic literature review and structuring of the field
Authors: Pillich Sidney Michael 
Published: March 2024

AbstractGlobalization has propelled economic development for decades, but this trend seems to be broken, potentially entering a reversal trend of de-globalization, as recent indicators allegedly reveal. Owing to the complexity and novelty of this trend, the literature leads to ambiguous assessments of economic de-globalization and its implications. Therefore, this literature review, drawn from international business literature, attempts to outline the drivers of economic de-globalization and understand how these drivers affect the de-internationalization of cross-border investments by multinational enterprises. Thus, this review provides a terminological basis by distinguishing between de-globalization as an external macro driver and de-internationalization as an internal corporate response. The interdependent de-globalization drivers are social inequality, technological advancement, and environmental sustainability. Additionally, (inter-) national politics play an outstanding role in understanding the development of de-globalization. This study structures the literature on de-globalization and finds that the impact of de-globalization drivers on multinational enterprises varies considerably. As the topic of de-globalization is rather new and conceptually elaborated, many research opportunities exist in this field.
Revisitation of “implicit quiescent optical solitons with complex Ginzburg–Landau equation having nonlinear chromatic dispersion": generalized temporal evolution
Authors: Adem Abdullahi Rashid , Biswas Anjan , Yildirim Yakup , Alshomrani Ali Saleh 
Published: March 2024

AbstractThis paper is a revisitation to the study on the retrieval of quiescent optical solitons to the complex Ginzburg–Landau equation that is considered with generalized temporal evolution and nonlinear chromatic dispersion. The results are recovered with the application of Lie symmetry. Apart from a couple of self-phase modulation structures where the results are in quadratures, the integrals are with a range of special functions. Two new forms of self-phase modulation structures are addressed in the paper.
Mindfulness and Cardiometabolic Health During Pregnancy: An Integrative Review
Authors: Lindsay Karen L. , Guo Yuqing , Gyllenhammer Lauren E. 
Published: March 2024

Abstract
Objectives
Cardiometabolic health during pregnancy has potential to influence long-term chronic disease risk for both mother and offspring. Mindfulness practices have been associated with improved cardiometabolic health in non-pregnant populations. The objective was to evaluate diverse studies that explored relationships between prenatal mindfulness and maternal cardiometabolic health.

Method
An integrative review was conducted in January 2023 across five databases to identify and evaluate studies of diverse methodologies and data types. Quantitative studies that examined mindfulness as an intervention or exposure variable during pregnancy and reported any of the following outcomes were considered: gestational weight gain (GWG), blood glucose, insulin resistance, gestational diabetes, inflammation, blood pressure, hypertensive disorders of pregnancy. Qualitative studies were included if they evaluated knowledge, attitudes, or practices of mindfulness in relation to the above-mentioned outcomes during pregnancy.

Results
Fifteen eligible studies were identified, and 4 received a “Good” quality rating (1/7 interventional, 1/5 observational, 2/2 qualitative). Qualitative studies revealed interest among pregnant women in mindfulness-based practices for managing GWG. Some beneficial effects of mindfulness interventions on maternal glucose tolerance and blood pressure were identified, but not for other cardiometabolic outcomes. Observational studies revealed null direct associations between maternal trait mindfulness and cardiometabolic parameters, but one study suggests potential for mindful eating to mitigate excess GWG and insulin resistance.

Conclusions
There currently exists limited quality evidence for mindfulness practices to support prenatal cardiometabolic health. Further rigorous studies are required to understand whether prenatal mindfulness-based interventions, either alone or in combination with other lifestyle modalities, can benefit cardiometabolic health.

Preregistration
This study is not preregistered.
Assessing the hydrocarbon potential of the Kadanwari gas field using integrated seismic and petrophysical data
Authors: Khan Zahid Ullah , Ahmed Zulfiqar , Naseer Muhammad Tayyab , Kontakiotis George , Naseem Shazia , Janjuhah Hammad Tariq , Antonarakou Assimina , Panagiotopoulos Ioannis P. 
Published: March 2024

AbstractKadanwari is a major gas-producing field in Pakistan's Lower Indus Basin (LIB), extensively explored for optimized production. However, the reservoir sands of the Lower Goru Formation (LGF), deposited in a complex river-dominated delta, bear severe variability and hinder accurate facies approximation for optimal production. Furthermore, the regionally extended NNW-SSE directed horst and graben structures significantly compartmentalized these reservoir facies. The main E-sand interval is analyzed for its geological properties, depositional environment, and distribution. The integration of various approaches, including seismic interpretation, attribute extraction, well-based facies modeling, and petrophysical evaluation, proved significant in evaluating the heterogeneous and tectonically influenced E-sands. The discontinuity attribute substantially highlighted the structural style and aided in analyzing the geometries of faults. The low values of the frequency attribute (< 10 Hz) signified the entrapped gas-bearing sands along the faulted zones. The high responses of instantaneous amplitude and sweetness profoundly illuminated the gas-significant deposits throughout the field in association with the well-identified gas-prone sand facies. The outcomes of the neutron-density crossplot depicted gas-bearing sands having low density (< 2.3 g/cc) and good porosity (12%) with the assessment of various cements. The facies modeling distinguished between clean and intermixed sand-shale reservoir zones. Petrophysical analysis revealed a net pay of 14 m within E-sand having gas saturation of about 68%. The adopted approach is robust and efficient, employing a limited data set for developing well-associated seismic responses for potential zone delineation within structural arrangements. The techniques can be optimistic about the LGF's complex potential sands demarcation throughout the Indus Basin.
Risk of sarcopenia and mobility of older adults during the COVID-19 pandemic: the longitudinal data from the REMOBILIZE study
Authors: Batista Patricia Parreira , Perracini Monica Rodrigues , do Carmo Correia de Lima Maria , de Amorim Juleimar Soares Coelho , Pereira Daniele Sirineu , Pereira Leani Souza Máximo 
Published: March 2024

Abstract
Background
We assessed whether clinical, functional and behavioral factors were associated with the decrease in mobility trajectories reported in older people at risk of sarcopenia (RS) and without risk of sarcopenia (NRS) during COVID-19 pandemic.

Methods
We prospectively analyzed mobility trajectories reported in older adults with RS and NRS over 16-month follow-up (Remobilize study). The self-perceived risk of sarcopenia and mobility were assessed using the SARC-F and the Life-Space Assessment (LSA) tools, respectively. Gender, age, comorbidities, pain, functional limitation, physical activity (time spent in walking; min/week), and sitting time (ST; hours/day) were assessed. We used a multilevel model to determine changes in mobility between groups and over time.

Results
Mobility was lower in RS than in NRS. Older people at RS, who were women, aged 70–79 years and 80 years or older, inactive, and with moderate to severe functional limitation experienced reduced mobility trajectories reported over the pandemic. For older people at NRS, trajectories with reduce mobility reported were experienced by women with comorbidities, for those with insufficient walking time and aged 70–79 years; aged 70–79 years and with ST between 5 and 7 hours/day; for those with insufficient walking time and increased ST; and for those with pain and increased ST.

Conclusion
Mobility trajectories reported in older people at risk of sarcopenia were negatively influenced by insufficient level of physical inactivity and pre-existing moderate to severe functional limitation. Health and social interventions should be target to avoid mobility limitation during and after the COVID-19 pandemic.