bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Prospective Multicenter Standard of Care Study of Outpatient Laparoscopic Sleeve Gastrectomy
Authors: Surve Amit , Cottam Daniel , Pryor Aurora , Cottam Samuel , Michaelson Robert , Umbach Thomas , Williams Michael , Bagshahi Hossein , July Laura , Bueno Racquel , Chock Devorah , Apel Matthew , Hart Christopher , Johnson William , Curtis Brendon , Rosenbluth Amy , Spaniolas Konstantinos , Medlin Walter , Wright Whitney , Lee Ciara , Lee Christy , Trujeque Rachael , Rinker Deborah 
Published: February 2024

Abstract
A global shift is occurring as hospital procedures move to ambulatory surgical settings. Surgeons have performed outpatient sleeve gastrectomy (SG) in bariatric surgery since 2010. However, prospective trials are needed to ensure its safety before widespread adoption.

Purpose
The study aimed to present a comprehensive report on the prospective data collection of 30-day outcomes of outpatient primary laparoscopic SG (LSG). This trial seeks to assess whether outpatient LSG is non-inferior to hospital-based surgery in selected patients who meet the outpatient surgery criteria set by the American Society for Metabolic and Bariatric Surgery.

Materials and Methods
This study is funded by the Society of American Gastrointestinal and Endoscopic Surgeons and has been approved by the Advarra Institutional Review Board (Pro00055990). Cognizant of the necessity for a prospective approach, data collection commenced after patients underwent primary LSG procedures, spanning from August 2021 to September 2022, at six medical centers across the USA. Data centralization was facilitated through ArborMetrix. Each center has its own enhanced recovery protocols, and no attempt was made to standardize the protocols.

Results
The analysis included 365 patients with a mean preoperative BMI of 43.7 ± 5.7 kg/m2. Rates for 30-day complications, reoperations, readmissions, emergency department visits, and urgent care visits were low: 1.6%, .5%, .2%, .2%, and 0%, respectively. Two patients (0.5%) experienced grade IIIb complications. There were no mortalities or leaks reported.

Conclusion
The prospective cohort study suggests that same-day discharge following LSG seems safe in highly selected patients at experienced US centers.

Graphical Abstract
Outcomes of robot-assisted versus video-assisted mediastinal mass resection during the initial learning curve
Authors: Zheng Chengwen , Ge Yong , Ma Tianyue , Pan Jiajian , Zhang Xueqiu , Sun Teng , Feng Shoujie , Zhang Hao 
Published: February 2024

AbstractTo compare the learning curve of mediastinal mass resection between robot-assisted surgery and thoracoscopic surgery. Retrospective perioperative data were collected from 160 mediastinal mass resection cases. Data included 80 initial consecutive video-assisted thoracoscopic surgery (VATS) resection cases performed from February 2018 to February 2020 and 80 initial consecutive robotic-assisted thoracic surgery (RATS) resection cases performed from March 2020 to March 2023. All cases were operated on by a thoracic surgeon. The clinical characteristics and perioperative outcomes of the two groups were compared. The operation time in both the RATS group and VATS group was analyzed using the cumulative sum (CUSUM) method. Based on this method, the learning curves of both groups were divided into a learning period and mastery period. The VATS group and the RATS group crossed the inflection point in the 27th and 21st case, respectively. Subsequently, we found that the learning period was longer than the mastery period with statistically significant differences in terms of the operating time, and postoperative hospital stay in the VATS group and the RATS group. A certain amount of VATS experience can shorten the learning curve for RATS.
Students’ mathematics self-efficacy: a scoping review
Authors: Street Karin Elisabeth Sørlie , Malmberg Lars-Erik , Schukajlow Stanislaw 
Published: February 2024

AbstractStudents’ mathematics self-efficacy (MSE) is strongly associated with learning behaviours and performance, and students’ future career choices. In our scoping review, we screened what substantive foci (conceptualization, directionality and role of MSE, change in MSE, and situational specificity of MSE) have been posed and which methodological approaches (participants, analytical methods, data sources, and congruence of measures) have been used in recent (2018–2022) studies of MSE. Studies of MSE were clearly in the mathematics domain with 21 of 49 included studies exploring specific mathematics areas. The key focus was on strength of MSE. International databases (i.e., PISA) have enabled broad generalization, while in-depth qualitative studies enable minute situation-specificity. Cross-sectional and longitudinal studies using hierarchically nested designs (i.e., students in classrooms) enable us to draw conclusions at both individual, classroom, and school levels. The current state-of-the-art indicates methodological advancement is rapid and we are likely to see further methodological-substantive synergies in the field of MSE in future studies. We see the potential and need for future mixed-methods studies that continue the focus on MSE as a multidimensional and dynamic concept. Careful consideration of the theoretical background of the construct of MSE continues to be important to bring the field forward.
Guidelines for Neuroprognostication in Critically Ill Adults with Moderate–Severe Traumatic Brain Injury
Authors: Muehlschlegel Susanne , Rajajee Venkatakrishna , Wartenberg Katja E. , Alexander Sheila A. , Busl Katharina M. , Creutzfeldt Claire J. , Fontaine Gabriel V. , Hocker Sara E. , Hwang David Y. , Kim Keri S. , Madzar Dominik , Mahanes Dea , Mainali Shraddha , Meixensberger Juergen , Sakowitz Oliver W. , Varelas Panayiotis N. , Weimar Christian , Westermaier Thomas 
Published: February 2024

Abstract
Background
Moderate–severe traumatic brain injury (msTBI) carries high morbidity and mortality worldwide. Accurate neuroprognostication is essential in guiding clinical decisions, including patient triage and transition to comfort measures. Here we provide recommendations regarding the reliability of major clinical predictors and prediction models commonly used in msTBI neuroprognostication, guiding clinicians in counseling surrogate decision-makers.

Methods
Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology, we conducted a systematic narrative review of the most clinically relevant predictors and prediction models cited in the literature. The review involved framing specific population/intervention/comparator/outcome/timing/setting (PICOTS) questions and employing stringent full-text screening criteria to examine the literature, focusing on four GRADE criteria: quality of evidence, desirability of outcomes, values and preferences, and resource use. Moreover, good practice recommendations addressing the key principles of neuroprognostication were drafted.

Results
After screening 8125 articles, 41 met our eligibility criteria. Ten clinical variables and nine grading scales were selected. Many articles varied in defining “poor” functional outcomes. For consistency, we treated “poor” as “unfavorable”. Although many clinical variables are associated with poor outcome in msTBI, only the presence of bilateral pupillary nonreactivity on admission, conditional on accurate assessment without confounding from medications or injuries, was deemed moderately reliable for counseling surrogates regarding 6-month functional outcomes or in-hospital mortality. In terms of prediction models, the Corticosteroid Randomization After Significant Head Injury (CRASH)-basic, CRASH-CT (CRASH-basic extended by computed tomography features), International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT)-core, IMPACT-extended, and IMPACT-lab models were recommended as moderately reliable in predicting 14-day to 6-month mortality and functional outcomes at 6 months and beyond. When using “moderately reliable” predictors or prediction models, the clinician must acknowledge “substantial” uncertainty in the prognosis.

Conclusions
These guidelines provide recommendations to clinicians on the formal reliability of individual predictors and prediction models of poor outcome when counseling surrogates of patients with msTBI and suggest broad principles of neuroprognostication.
Therapeutic Potential Effect of Glycogen Synthase Kinase 3 Beta (GSK-3β) Inhibitors in Parkinson Disease: Exploring an Overlooked Avenue
Authors: Turkistani Areej , Al-kuraishy Hayder M. , Al-Gareeb Ali I. , Albuhadily Ali K. , Alexiou Athanasios , Papadakis Marios , Elfiky Mohamed M. , Saad Hebatallah M. , Batiha Gaber El-Saber 
Published: February 2024

AbstractParkinson’s disease (PD) is a progressive neurodegenerative disease of the brain due to degeneration of dopaminergic neurons in the substantia nigra (SN). Glycogen synthase kinase 3 beta (GSK-3β) is implicated in the pathogenesis of PD. Therefore, the purpose of the present review was to revise the mechanistic role of GSK-3β in PD neuropathology, and how GSK-3β inhibitors affect PD neuropathology. GSK-3 is a conserved threonine/serine kinase protein that is intricate in the regulation of cellular anabolic and catabolic pathways by modulating glycogen synthase. Over-expression of GSK-3β is also interconnected with the development of different neurodegenerative diseases. However, the underlying mechanism of GSK-3β in PD neuropathology is not fully clarified. Over-expression of GSK-3β induces the development of PD by triggering mitochondrial dysfunction and oxidative stress in the dopaminergic neurons of the SN. NF-κB and NLRP3 inflammasome are activated in response to dysregulated GSK-3β in PD leading to progressive neuronal injury. Higher expression of GSK-3β in the early stages of PD neuropathology might contribute to the reduction of neuroprotective brain-derived neurotrophic factor (BDNF). Thus, GSK-3β inhibitors may be effective in PD by reducing inflammatory and oxidative stress disorders which are associated with degeneration of dopaminergic in the SN.
Controlling a Free Surface With Thermocapillary Flows and Vibrations in Microgravity
Authors: Plaza Jose , Gligor Dan , Salgado Sánchez Pablo , Rodríguez Jacobo , Olfe Karl 
Published: February 2024

AbstractFluid manipulation and control is crucial for space exploration. Motivated by the “Thermocapillary-based control of a free surface in microgravity" (ThermoSlosh) experiment (Salgado Sánchez et al. in Acta Astronautica 205:57–67, 2023), we conduct here a detailed numerical analysis of interfacial dynamics in a two-dimensional cylindrical cell, half-filled with different silicone oils or a fluorinert, and subjected to thermal forcing and vibrations. The effect on the free surface dynamics of the applied temperature difference, vibrational amplitude, fluid viscosity, and contact angle is analyzed; both static and dynamic contact angle models are considered. Results strongly suggest that thermocapillary flows can be used to control the interface orientation within the cell, while supplemental vibrations can be added to increase the system responsiveness. This control can be further improved by using classical proportional-integral-derivative feedback to adjust the cell boundary temperatures in real-time. The proportional and derivative gains of the controller can be selected to optimize the stabilization time and/or energy cost, while the integral contribution is effective in reducing the steady-state error. Overall, the present analysis highlights the potential of using the thermocapillary effect for fluid management in reduced gravity, and evaluates different types of experimental tests that can be executed in the frame of the ThermoSlosh microgravity project.
Coping Power-Rural: Iterative Adaptation of an Evidence-Based Preventive Intervention for Rural Upper Elementary and Middle Schools
Authors: Nguyen Amanda J. , Hersh Jacqueline , Beahm Lydia , Henderson Smith Lora , Newman Courtney , Birchfield Katelyn , Michael Kurt , Bradshaw Catherine P. 
Published: February 2024

Abstract
Background
Educators in rural schools are uniquely situated to address youth mental health disparities, yet often face challenges in delivering mental health supports. This paper describes the process of adapting the evidence-based Coping Power program, a small group prevention program for youth with aggressive behavior problems, to be a two-tiered (Tier 1 and Tier 2), transdiagnostic intervention to improve fit and feasibility for rural upper elementary and middle schools.

Method
Identified challenges with the Coping Power program for rural areas included program length, substantial staffing and resource requirements, lack of universal programming, low caregiver engagement, and co-occurring problems. Initial adaptations included a classroom and small group format implemented by school staff, teacher consultations integrated into coaching and co-facilitation, and a technology-supported caregiver component. Implementer feedback forms, coaching notes, and individual interviews informed the iterative development and feasibility testing process.

Results
Between 2019 and 2023, thirteen schools across six rural districts implemented the program. Student curriculum revisions included order and relative emphasis of content, classroom and small group overlap, necessary simplification of concepts, improved contextualization to the rural setting, and the addition of student workbooks. Supports for implementers included fully developed lesson plans and slides, a comprehensive implementation manual, video lesson overviews, action-focused training, and a 3-session coaching model to support implementer preparation and sustain motivation. Teacher and caregiver infographic text “nudges” were improved to promote generalization of concepts across settings.

Discussion
By partnering with school-based implementers, the adapted program holds promise to be more feasible and appealing for rural schools than the original model. This fully developed program is now ready for larger-scale testing in rural schools.
Sonic Sleight of Hand: Sound Induces Illusory Distortions in the Perception and Prediction of Robot Action
Authors: Currie Joel , Giannaccini Maria Elena , Bach Patric 
Published: February 2024

AbstractFor efficient human–robot interaction, human operators need to be able to efficiently represent the robot’s movements in space and predict its next steps. However, according to frameworks of Bayesian multisensory integration, features outside the motion itself—like the sounds a robot makes while it moves—should affect how otherwise identical motions are perceived. Here, we translate an established psychophysical task from experimental psychology to a human–robot interaction context, which can measure these distortions to motion perception. In two series of preregistered studies, participants watched a humanoid robot make forward and backward reaching movements. When the robot hand suddenly disappeared, they reported its last seen location, either with the mouse cursor (Experiment 1a and 1b) or by matching it to probe stimuli in different locations (Experiment 2a and 2b). The results revealed that even small changes to the robot’s sound robustly affect participants’ visuospatial representation of its motions, so that the motion appeared to extend further in space when accompanied by slightly (100 ms) longer sounds compared to slightly shorter sounds (100 ms shorter). Moreover, these sound changes do not only affect where people currently locate the robot’s motion, but where they anticipate its future steps. These findings show that sound design is an effective medium for manipulating how people represent otherwise identical robot actions and coordinate its interactions with it. The study acts as proof of concept that psychophysical tasks provide a promising tool to measure how design parameters influence the perception and prediction of robot motion.
Unmasking overestimation: a re-evaluation of deep anomaly detection in spacecraft telemetry
Authors: Herrmann Lars , Bieber Marie , Verhagen Wim J. C. , Cosson Fabrice , Santos Bruno F. 
Published: February 2024

AbstractAs the volume of telemetry data generated by satellites and other complex systems continues to grow, there is a pressing need for more efficient and accurate anomaly detection methods. Current techniques often rely on human analysis and preset criteria, presenting several challenges including the necessity for expert interpretation and continual updates to match the dynamic mission environment. This paper critically examines the use of deep anomaly detection (DAD) methods in addressing these challenges, evaluating their efficacy on real-world spacecraft telemetry data. It exposes limitations in current DAD research, highlighting the tendency for performance results to be overestimated and suggesting that simpler methods can sometimes outperform more complex DAD algorithms. By comparing established metrics for anomaly detection with newly proposed ones, this paper aims to improve the evaluation of DAD algorithms. It underscores the importance of using less accuracy-inflating metrics and offers a comprehensive comparison of DAD methods on popular benchmark datasets and real-life satellite telemetry data. Among the DAD methods examined, the LSTM algorithm demonstrates considerable promise. However, the paper also reveals the potential limitations of this approach, particularly in complex systems that lack a single, clear predictive failure channel. The paper concludes with a series of recommendations for future research, including the adoption of best practices, the need for high-quality, pre-split datasets, and the investigation of other prediction error methods. Through these insights, this paper contributes to the improved understanding and application of DAD methods, ultimately enhancing the reliability and effectiveness of anomaly detection in real-world scenarios.
Consensus document on the clinical application of invasive functional coronary angiography from the Japanese Association of Cardiovascular Intervention and Therapeutics
Authors: Asano Taku , Tanigaki Toru , Ikeda Kazumasa , Ono Masafumi , Yokoi Hiroyoshi , Kobayashi Yoshio , Kozuma Ken , Tanaka Nobuhiro , Kawase Yoshiaki , Matsuo Hitoshi 
Published: February 2024

AbstractInvasive functional coronary angiography (FCA), an angiography-derived physiological index of the functional significance of coronary obstruction, is a novel physiological assessment tool for coronary obstruction that does not require the utilization of a pressure wire. This technology enables operators to rapidly evaluate the functional relevance of coronary stenoses during and even after angiography while reducing the burden of cost and complication risks related to the pressure wire. FCA can be used for treatment decision-making for revascularization, strategy planning for percutaneous coronary intervention, and procedure optimization. Currently, various software-computing FCAs are available worldwide, with unique features in their computation algorithms and functions. With the emerging application of this novel technology in various clinical scenarios, the Japanese Association of Cardiovascular Intervention and Therapeutics task force was created to outline expert consensus on the clinical use of FCA. This consensus document advocates optimal clinical applications of FCA according to currently available evidence while summarizing the concept, history, limitations, and future perspectives of FCA along with globally available software.
Graphical abstract
Overview and proposed clinical applications of functional coronary angiography (FCA). The FCA was developed according to computed fluid dynamics (CFD), considering the pressure drop across the coronary stenosis. CFD analysis was performed with a three-dimensional coronary model derived from angiography, allowing the calculation of the physiological index without the use of a pressure wire. Another direction of development in FCA is using artificial intelligence throughout the entire process, enabling “hands-free” FFR simulation. The advantage of the FCA is that it eliminates the use of a pressure wire, resulting in reduced invasiveness, shorter procedure times, and reduced medical costs. However, FCA requires high-quality angiography for a clear visualization of the lesion. In addition, the current version of FCA requires several manual corrections; thus, its reproducibility is limited. Further data on clinical outcomes after the use of FCA, such as percutaneous coronary intervention (PCI) with FCA guidance, are warranted. The consensus group of the Japanese Association of Cardiovascular Intervention and Therapeutics proposed the application of FCA in various clinical scenarios considering the advantages of this technology. QFR, quantitative flow ratio; iFR, instantaneous wave-free ratio; CCS, chronic coronary syndrome; ACS, acute coronary syndrome; MVD, multivessel disease; AMI, acute myocardial infarction.
Estimation and bio-valorisation of food industry by-products in Northern Europe
Authors: Soloha Raimonda , Lukasa Liva Kristiana , Dace Elina 
Published: February 2024

Abstract
The lack of quantitative data regarding the geographical availability of secondary bioresources hinders the exploration of regional valorisation opportunities within the context of circular bioeconomy. The study aimed to identify the main by-products of the food processing and manufacturing industry in eight Northern European countries, including Denmark, Estonia, Finland, Iceland, Latvia, Lithuania, Norway, and Sweden, and propose potential bio-valorisation solutions for these by-products to derive value-added products. By analysing available Food and Agriculture Organization (FAO) statistics for the period between 2015 and 2020 and reviewing the scientific literature, by-product volumes were estimated and respective bio-valorisation methods were summarised in two separate databases. The first database lists the processed food products, their by-products and estimated volumes, while the second details the bio-valorisation methods applicable to these by-products. Estimated by-product volumes provide an understanding of their availability in the Northern European region. Our findings revealed that fresh whey is the predominant by-product in the region, with Denmark generating the highest average volume of 2318.3 kt/year. Similarly, sugar beet pulp, also highest in Denmark, averaged 1421.3 kt/year. Among the bio-valorisation methods studied, whey and brewer’s spent grain were the most used substrates, with xylanases, ethanol, and acetic acid being the primary value-added products. This research offers valuable data-driven insights to support the circular bioeconomy in Northern Europe while demonstrating an approach to estimating food industry by-product volumes using commonly reported statistical data.

Graphical Abstract