bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceived facilitators and barriers by esophageal cancer survivors participating in a post-treatment exercise program
Authors: van Vulpen Jonna K. , Witlox Lenja , Methorst-de Haan Alida C. , Hiensch Anouk E. , van Hillegersberg Richard , Ruurda Jelle P. , Nieuwenhuijzen Grard A.P. , Kouwenhoven Ewout A. , Siersema Peter D. , May Anne M. 
Published: May 2023

Abstract
Purpose
Participation in a post-treatment exercise program improves cardiorespiratory fitness and aspects of quality of life for esophageal cancer survivors. For optimal effects, high adherence to the exercise intervention is important. We assessed which facilitators and barriers to exercise adherence are perceived by esophageal cancer survivors, who participate in a post-treatment exercise program.

Methods
The current qualitative study was performed within the randomized controlled PERFECT trial, in which we investigated effects of a 12-week supervised exercise program with moderate-to-high intensity and daily physical activity advice. Semi-structured interviews were conducted with patients randomized to the exercise group. A thematic content approach was used to derive perceived facilitators and barriers.

Results
Thematic saturation was reached after inclusion of sixteen patients. Median session attendance was 97.9% (IQR 91.7–100%), and relative dose intensity (compliance) to all exercises was ≥90.0%. Adherence to the activity advice was 50.0% (16.7–60.4%). Facilitators and barriers were captured in seven themes. The most important facilitators were patients’ own intention to engage in exercise and supervision by a physiotherapist. Barriers were mainly experienced in completion of the activity advice, and included logistic factors and physical complaints.

Conclusions
Esophageal cancer survivors are well capable to attend a moderate-to-high intensity post-treatment exercise program, and to fulfill the exercises according to protocol. This is facilitated by patients’ own intention to engage in exercise and supervision of the physiotherapist, and only minimally affected by barriers as logistic factors and physical complaints.

Implications for cancer survivors
When implementing postoperative exercise programs in clinical care, it can be useful to be aware of perceived facilitators and barriers of cancer survivors in order to achieve optimal exercise adherence and maximize beneficial exercise effects.

Trial registration
Dutch Trial Register NTR 5045
Technical report: surgical preparation of human brain tissue for clinical and basic research
Authors: Straehle J. , Ravi V. M. , Heiland D.H. , Galanis C. , Lenz M. , Zhang Junyi , Neidert N.N , El Rahal A. , Vasilikos I. , Kellmeyer P. , Scheiwe C. , Klingler J.H. , Fung C. , Vlachos A. , Beck J. , Schnell O. 
Published: May 2023

AbstractBackgroundThe study of the distinct structure and function of the human central nervous system, both in healthy and diseased states, is becoming increasingly significant in the field of neuroscience. Typically, cortical and subcortical tissue is discarded during surgeries for tumors and epilepsy. Yet, there is a strong encouragement to utilize this tissue for clinical and basic research in humans. Here, we describe the technical aspects of the microdissection and immediate handling of viable human cortical access tissue for basic and clinical research, highlighting the measures needed to be taken in the operating room to ensure standardized procedures and optimal experimental results.MethodsIn multiple rounds of experiments (n= 36), we developed and refined surgical principles for the removal of cortical access tissue. The specimens were immediately immersed in cold carbogenated N-methyl-D-glucamine-based artificial cerebrospinal fluid for electrophysiology and electron microscopy experiments or specialized hibernation medium for organotypic slice cultures.ResultsThe surgical principles of brain tissue microdissection were (1) rapid preparation (<1 min), (2) maintenance of the cortical axis, (3) minimization of mechanical trauma to sample, (4) use of pointed scalpel blade, (5) avoidance of cauterization and blunt preparation, (6) constant irrigation, and (7) retrieval of the sample without the use of forceps or suction. After a single round of introduction to these principles, multiple surgeons adopted the technique for samples with a minimal dimension of 5 mm spanning all cortical layers and subcortical white matter. Small samples (5–7 mm) were ideal for acute slice preparation and electrophysiology. No adverse events from sample resection were observed.ConclusionThe microdissection technique of human cortical access tissue is safe and easily adoptable into the routine of neurosurgical procedures. The standardized and reliable surgical extraction of human brain tissue lays the foundation for human-to-human translational research on human brain tissue.
Cardiovascular manifestations in idiopathic inflammatory myopathies
Authors: Shah Meera , Shinjo Samuel Katsuyuki , Day Jessica , Gupta Latika 
Published: May 2023

AbstractCardiovascular involvement in idiopathic inflammatory myopathies (IIM) is an understudied area which is gaining increasing recognition in recent times. Recent advances in imaging modalities and biomarkers have allowed the detection of subclinical cardiovascular manifestations in IIM. However, despite the availability of these tools, the diagnostic challenges and underestimated prevalence of cardiovascular involvement in these patients remain significant. Notably, cardiovascular involvement remains one of the leading causes of mortality in patients with IIM. In this narrative literature review, we outline the prevalence and characteristics of cardiovascular involvement in IIM. Additionally, we explore investigational modalities for early detection of cardiovascular involvement, as well as newer approaches in screening to facilitate timely management.

Key points• Cardiac involvement in IIM in majority cases is subclinical and a major cause of mortality.• Cardiac magnetic resonance imaging is sensitive for detection of subclinical cardiac involvement.
Between-satellite ambiguity resolution based on preliminary GNSS orbit and clock information using a globally applied ambiguity clustering strategy
Authors: Calero-Rodríguez Emilio J. , Villiger Arturo , Schaer Stefan , Dach Rolf , Jäggi Adrian 
Published: May 2023

AbstractThe use of undifferenced (UD) processing schemes of GNSS measurements is becoming more and more popular for the generation of global network solutions (GNSS orbits and clock products) within the GNSS community. As opposed to classical processing schemes, which are based on a two-step approach where the orbits (generally, the contributions to the observation geometry) are estimated in a double-difference (DD) scheme while leaving the estimation of the corresponding clock information (and other linear terms) to a second, independent UD procedure where the orbits are introduced as known, the newer designs combine both parts into a single, compact processing scheme. Although this offers a higher flexibility, some challenges arise from the handling of the many parameters, as well as from the implementation of robust ambiguity resolution (AR) strategies. The latter could lead to a prohibitive computational time for a growing size of the network due to the large amount of ambiguity parameters. To overcome that issue, we propose a new UD-AR strategy that adapts the DD-AR approach. This is accomplished by carefully inspecting the real-valued ambiguities in a stand-alone step, where the DD-AR information is explicitly considered through the use of ambiguity clusters. As a result, the preliminary satellite orbits and clock corrections are modified to become consistent with the integer-cycle property of the carrier phase ambiguities, allowing to resolve them as integer numbers in a computationally inexpensive station-wise parallelization. This strategy is introduced and explained in detail. Moreover, it is shown that the GPS and Galileo solutions generated by this procedure are at a competitive level compared to classical DD-based solutions.
Role of Escin in breast cancer therapy: potential mechanism for inducing ferroptosis and synergistic antitumor activity with cisplatin
Authors: Li Chenyuan , He Ziqi , Yao Feng , Liao Shichong , Sun Kai , Sun Shengrong , Li Zhiyu , Wang Zhong 
Published: May 2023

AbstractBreast cancer (BC) has threatened women worldwide for a long time, and novel treatments are needed. Ferroptosis is a new form of regulated cell death that is a potential therapeutic target for BC. In this study, we identified Escin, a traditional Chinese medicine, as a possible supplement for existing chemotherapy strategies. Escin inhibited BC cell growth in vitro and in vivo, and ferroptosis is probable to be the main cause for Escin-induced cell death. Mechanistically, Escin significantly downregulated the protein level of GPX4, while overexpression of GPX4 could reverse the ferroptosis triggered by Escin. Further study revealed that Escin could promote G6PD ubiquitination and degradation, thus inhibiting the expression of GPX4 and contributing to the ferroptosis. Moreover, proteasome inhibitor MG132 or G6PD overexpression could partially reverse Escin-induced ferroptosis, when G6PD knockdown aggravated that. In vivo study also supported that downregulation of G6PD exacerbated tumor growth inhibition by Escin. Finally, our data showed that cell apoptosis was dramatically elevated by Escin combined with cisplatin in BC cells. Taken together, these results suggest that Escin inhibits tumor growth in vivo and in vitro via regulating the ferroptosis mediated by G6PD/GPX4 axis. Our findings provide a promising therapeutic strategy for BC.
Detecting the influence of the Chinese guiding cases: a text reuse approach
Authors: Chen Benjamin M. , Li Zhiyu , Cai David , Ash Elliott 
Published: May 2023

AbstractSocialist courts are supposed to apply the law, not make it, and socialist legality denies judicial decisions any precedential status. In 2011, the Chinese Supreme People’s Court designated selected decisions as Guiding Cases to be referred to by all judges when adjudicating similar disputes. One decade on, the paucity of citations to Guiding Cases has been taken as demonstrating the incongruity of case-based adjudication and the socialist legal tradition. Citations are, however, an imperfect measure of influence. Reproduction of language uniquely traceable to Guiding Cases can also be evidence of their impact on judicial decision-making. We employ a local alignment tool to detect unattributed text reuse of Guiding Cases in local court decisions. Our findings suggest that Guiding Cases are more consequential than commonly assumed, thereby complicating prevailing narratives about the antagonism of socialist legality to case law.
Identifying the effective behaviour change techniques in nutrition and physical activity interventions for the treatment of overweight/obesity in post-treatment breast cancer survivors: a systematic review
Authors: Perperidi Maria , Saliari Dimitra , Christakis Christos , Huybrechts Inge , Saloustros Emmanouil , Theodorakis Yannis , Androutsos Odysseas 
Published: May 2023

Abstract
Purpose
Updated evidence for the treatment of obesity in cancer survivors includes behavioural lifestyle interventions underpinning at least one theoretical framework. The aim of this systematic review was to assess the effectiveness of theory-based lifestyle interventions for the treatment of overweight/obesity in breast cancer survivors and to report effective behavioural change techniques (BCTs) and components used in these interventions.

Methods
Four databases were searched for RCTs published between database inception and July 2022. The search strategy included MeSH terms and text words, using the PICO-framework to guide the eligibility criteria. The PRISMA guidelines were followed. Risk-of-bias, TIDier Checklist for interventions’ content, and the extent of behaviour change theories and techniques application were assessed. To evaluate the effectiveness of interventions, trials were categorised as “very,” “quite,” or “non” promising according to their potential to reduce body weight, and BCTs promise ratios were calculated to assess the potential of BCTs within interventions to decrease body weight.

Results
Eleven RCTs met the inclusion criteria. Seven trials were classified as “very”, three as “quite” and one study was “non” promising. Studies’ size, design, and intervention strategies varied greatly, but the weight-loss goal in all studies was ≥ 5% of the initial body weight through a 500–1000 kcal/day energy deficit and a gradually increased exercise goal of ≥ 30 min/day. Social Cognitive Theory was the most commonly used theory (n = 10). BCTs ranged from 10 to 23 in the interventions, but all trials included behaviour goal setting, self-monitoring, instructions on the behaviour, and credible source. The risk-of-bias was “moderate” in eight studies and “high” in three.

Conclusion
The present systematic review identified the components of theory-based nutrition and physical activity behaviour change interventions that may be beneficial for the treatment of overweight/obesity in breast cancer survivors. The strategies mentioned, in addition to reported behavioural models and BCTs, should be considered when developing weight-loss interventions for breast cancer survivors.
Attention Bias and Anxiety: The Moderating Effect of Sociocultural Variables in Rural Latinx Youth
Authors: Bocanegra Elizabeth S. , Chang Susanna W. , Rozenman Michelle , Lee Steve S. , Delgadillo Desiree , Chavira Denise A. 
Published: May 2023

AbstractAttention bias confers risk for anxiety development, however, the influence of sociodemographic variables on the relationship between attention bias and anxiety remains unclear. We examined the association between attention bias and anxiety among rural Latinx youth and investigated potential moderators of this relationship. Clinical symptoms, demographic characteristics, and a performance-based measure of attention bias were collected from 66 rural Latinx youth with clinical levels of anxiety (33.3% female;Mage = 11.74; 92.4% Latinx, 7.6% Mixed Latinx). No moderating effects for age or gender were found. Youth below the poverty line displayed an attention biasawayfrom threat in comparison to youth above the poverty line, who displayed an attention biastowardsthreat. Among youth below the poverty line, this bias away from threat was associated with increased anxiety. Findings highlight the importance of economic adversity in understanding the relationship between attention bias and anxiety.
Interpolation-based decoding of folded variants of linearized and skew Reed–Solomon codes
Authors: Hörmann Felicitas , Bartz Hannes 
Published: May 2023

AbstractThe sum-rank metric is a hybrid between the Hamming metric and the rank metric and suitable for error correction in multishot network coding and distributed storage as well as for the design of quantum-resistant cryptosystems. In this work, we consider the construction and decoding of folded linearized Reed–Solomon (FLRS) codes, which are shown to be maximum sum-rank distance (MSRD) for appropriate parameter choices. We derive an efficient interpolation-based decoding algorithm for FLRS codes that can be used as a list decoder or as a probabilistic unique decoder. The proposed decoding scheme can correct sum-rank errors beyond the unique decoding radius with a computational complexity that is quadratic in the length of the unfolded code. We show how the error-correction capability can be optimized for high-rate codes by an alternative choice of interpolation points. We derive a heuristic upper bound on the decoding failure probability of the probabilistic unique decoder and verify its tightness by Monte Carlo simulations. Further, we study the construction and decoding of folded skew Reed﻿-Solomon codes in the skew metric. Up to our knowledge, FLRS codes are the first MSRD codes with different block sizes that come along with an efficient decoding algorithm.
An unsupervised linguistic-based model for automatic glossary term extraction from a single PDF textbook
Authors: Soliman Ashraf 
Published: May 2023

Abstract
Term extraction from textbooks is the cornerstone of many different intelligent natural language processing systems, especially those that support learners and educators in the education system. This paper proposes a novel unsupervised domain-independent model that automatically extracts relevant and domain-related key terms from a single PDF textbook, without relying on a statistical technique or external knowledge base. It only relies on the basic linguistic techniques of the natural language processing: pattern recognition, sentence tokenization, part-of-speech tagging, and chunking. The model takes a PDF textbook as an input and produces a list of key terms as an output. Furthermore, the model proposes a novel classification of sentences from which the concept of defining sentences is proposed. The defining sentences are the main textual units that the model revolves around to identify the key terms. The architecture of the proposed work consists of 21 processes distributed across three phases. The first phase consists of five processes for extracting text from a PDF textbook and cleaning it for the next phases. The second phase consists of eight processes for identifying the defining sentences and extracting them from all the textbook’s sentences. The last phase consists of eight processes for identifying and extracting the key terms from every defining sentence. The proposed work was evaluated by two experiments in which two PDF textbooks from different fields are used. The experimental evaluation showed that the results were promising.
Developing PM2.5 and PM10 prediction models on a national and regional scale using open-source remote sensing data
Authors: Mamić Luka , Gašparović Mateo , Kaplan Gordana 
Published: May 2023

AbstractClean air is the precursor to a healthy life. Air quality is an issue that has been getting under its well-deserved spotlight in the last few years. From a remote sensing point of view, the first Copernicus mission with the main purpose of monitoring the atmosphere and tracking air pollutants, the Sentinel-5P TROPOMI mission, has been widely used worldwide. Particulate matter of a diameter smaller than 2.5 and 10 μm (PM2.5 and PM10) significantly determines air quality. Still, there are no available satellite sensors that allow us to track them remotely with high accuracy, but only using ground stations. This research aims to estimate PM2.5 and PM10 using Sentinel-5P and other open-source remote sensing data available on the Google Earth Engine (GEE) platform for heating (December 2021, January, and February 2022) and non-heating seasons (June, July, and August 2021) on the territory of the Republic of Croatia. Ground stations of the National Network for Continuous Air Quality Monitoring were used as a starting point and as ground truth data. Raw hourly data were matched to remote sensing data, and seasonal models were trained at the national and regional scale using machine learning. The proposed approach uses a random forest algorithm with a percentage split of 70% and gives moderate to high accuracy regarding the temporal frame of the data. The mapping gives us visual insight between the ground and remote sensing data and shows the seasonal variations of PM2.5 and PM10. The results showed that the proposed approach and models could efficiently estimate air quality.
Assigning orders and pods to picking stations in a multi-level robotic mobile fulfillment system
Authors: Tadumadze Giorgi , Wenzel Julia , Emde Simon , Weidinger Felix , Elbert Ralf 
Published: May 2023

AbstractThis paper addresses the operational planning problem of assigning orders and pods (i.e., mobile shelves) to picking stations in a multi-level robotic mobile fulfillment system (RMFS), which deals with two issues: deciding on which picking station handles which order, and from which pods to pick the ordered items, considering the limited storage capacity of the pods. Due to the relatively poor space utilization of single-level RMFS warehouses, such systems are often spread over multiple floors in practice. Therefore, we explicitly consider multi-level warehouse layouts with isolated levels (or zones) where a pod can only be brought to a station if both of them are on the same level. We optimize the problem with regard to a multi-criteria objective function that consists of three workload-oriented objectives: we aim to balance the total workload among all pickers, minimize the total order-consolidation effort for the packers, and the pod movement effort for the mobile robots. After formalizing the planning problem as a multi-objective optimization problem, we provide two mixed-integer linear programming models. Additionally, we propose a matheuristic that reduces the model size to the desired granularity so that realistically sized problem instances can be solved within less than four minutes of computation time. Moreover, we derive some managerial insights, such as the impact of the number of warehouse levels and picking waves on the objective values. We find evidence that running the RMFS warehouse in a multi-level facility can substantially compromise the consolidation effort at packing stations since it leads to a higher number of split orders. Furthermore, splitting the planning horizon into multiple short waves can lead to a higher number of pod-to-station assignments and, thus, to a raised pod-movement workload for mobile robots.
Lab- and pilot-scale photo-biofilter performance with algal–bacterial beads in a recirculation aquaculture system for rearing rainbow trout
Authors: Rodríguez-Leal Sergio , Silva-Acosta Jorge , Marzialetti Teresita , Gallardo-Rodríguez Juan J. 
Published: May 2023

AbstractIndustrial aquaculture has proliferated due to increased world demand for fish and seafood. Aerobic bacterial biofilters typically perform the nitrogen abatement of wastewater. Recirculation aquaculture systems (RAS) require nitrifying microorganisms developed in the biofilter. Despite the advantages of these biofilters, there are disadvantages, such as the time needed to mature, decrease in oxygen concentration, accumulation of organic matter and difficulty of backflushing, among others. On the other hand, microalgae effectively eliminate nutrients-pollutants, consuming inorganic carbon, nitrogen, and phosphorus and balancing soluble oxygen, conditions not attributable to nitrifying biofilters. The current study used a photo-biofilter to determine the depuration capacity of an immobilized co-culture of microalga Tetradesmus dimorphus and nitrifying bacteria isolated from a Salmon RAS. Bacteria frorm genera Flavobacterium, Microbacterium, Raoultella, Sphingobacterium, and Pseudomonas were identified. Biofilters were tested in sequential batch (lab-scale; 2.85 L) and continuous mode (pilot-plant scale; 120 L) attached to a RAS system for rearing rainbow trout. The algal–bacterial community structure was studied using 16S rRNA gene sequencing. Results showed that at typical loading rates, the algal–bacterial community could simultaneously remove ammonium, total ammonium nitrogen (TAN), nitrate and phosphate. Moreover, the system evaluated removed TAN daily, at an average of 1.18 kg per m3 of beads.
Graphical Abstract