bluuebunny/crossref_metadata_2025_split huggingface dataset:
Definitions and symptoms of the post-COVID syndrome: an updated systematic umbrella review
Authors: Gutzeit Julian , Weiß M. , Nürnberger C. , Lemhöfer C. , Appel K. S. , Pracht E. , Reese J.-P. , Lehmann C. , Polidori M. C. , Hein G. , Deckert J. 
Published: July 2024

Abstract
Post-COVID syndrome (PCS) describes a persistent complex of symptoms following a COVID-19 episode, lasting at least 4 to 12 weeks, depending on the specific criteria used for its definition. It is often associated with moderate to severe impairments of daily life and represents a major burden for many people worldwide. However, especially during the first two years of the COVID-19 pandemic, therapeutic and diagnostic uncertainties were prominent due to the novelty of the disease and non-specific definitions that overlooked functional deficits and lacked objective assessment. The present work comprehensively examines the status of PCS definitions as depicted in recent reviews and meta-analyses, alongside exploring associated symptoms and functional impairments. We searched the database Pubmed for reviews and meta-analysis evaluating PCS in the period between May 31, 2022, to December 31, 2023. Out of 95 studies, 33 were selected for inclusion in our analyses. Furthermore, we extended upon prior research by systematically recording the symptoms linked with PCS as identified in the studies. We found that fatigue, neurological complaints, and exercise intolerance were the most frequently reported symptoms. In conclusion, over the past eighteen months, there has been a notable increase in quantity and quality of research studies on PCS. However, there still remains a clear need for improvement, particularly with regard to the definition of the symptoms necessary for diagnosing this syndrome. Enhancing this aspect will render future research more comparable and precise, thereby advancing and understanding PCS.
Developing new strategies for the gradual integration of sensory imagery scripts into mental training: a commentary on Krüger et al. (2022)
Authors: Thai Quang Thong , Lotze Martin 
Published: July 2024

AbstractOur comment emphasizes the multisensory guidance of mental training processes as pointed out by Krüger et al. 2022. Guided multisensory mental training can focus on different aspects of action performance and gradually increase the vividness of the mental construct. The authors previously described an interaction between neural representation, subjective experience, and training gain. To enrich the subjective experience of the mental process, the establishment and testing of different guided mental training procedures are discussed.
A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model
Authors: Chen Haixin , Xu Yanyan , Lin Haowen , Wan Shibiao , Luo Lianxiang 
Published: July 2024

Abstract
Purpose
Signet ring cell carcinoma (SRCC) is a rare type of lung cancer. The conventional survival nomogram used to predict lung cancer performs poorly for SRCC. Therefore, a novel nomogram specifically for studying SRCC is highly required.

Methods
Baseline characteristics of lung signet ring cell carcinoma were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression and random forest analysis were performed on the training group data, respectively. Subsequently, we compared results from these two types of analyses. A nomogram model was developed to predict 1-year, 3-year, and 5-year overall survival (OS) for patients, and receiver operating characteristic (ROC) curves and calibration curves were used to assess the prediction accuracy. Decision curve analysis (DCA) was used to assess the clinical applicability of the proposed model. For treatment modalities, Kaplan-Meier curves were adopted to analyze condition-specific effects.

Results
We obtained 731 patients diagnosed with lung signet ring cell carcinoma (LSRCC) in the SEER database and randomized the patients into a training group (551) and a validation group (220) with a ratio of 7:3. Eight factors including age, primary site, T, N, and M.Stage, surgery, chemotherapy, and radiation were included in the nomogram analysis. Results suggested that treatment methods (like surgery, chemotherapy, and radiation) and T-Stage factors had significant prognostic effects. The results of ROC curves, calibration curves, and DCA in the training and validation groups demonstrated that the nomogram we constructed could precisely predict survival and prognosis in LSRCC patients. Through deep verification, we found the constructed model had a high C-index, indicating that the model had a strong predictive power. Further, we found that all surgical interventions had good effects on OS and cancer-specific survival (CSS). The survival curves showed a relatively favorable prognosis for T0 patients overall, regardless of the treatment modality.

Conclusions
Our nomogram is demonstrated to be clinically beneficial for the prognosis of LSRCC patients. The surgical intervention was successful regardless of the tumor stage, and the Cox proportional hazard (CPH) model had better performance than the machine learning model in terms of effectiveness.
MASCC/ISOO Clinical Practice Statement: Adjuvant bone-modifying agents in primary breast cancer patients - prevention of medication-related osteonecrosis of the jaw
Authors: Yarom Noam , Van Poznak Catherine H. , Epstein Joel B. , Ottaviani Giulia , Matsuda Yuhei , Migliorati Cesar , Elad Sharon 
Published: July 2024

Abstract
Purpose
A MASCC/ISOO Clinical Practice Statement (CPS) is aimed at generating a concise tool for clinicians that concentrates practical information needed for the management of oral complications of cancer patients. This CPS raises awareness to the prevention of medication-related osteonecrosis of the jaw (MRONJ) in patients with breast cancer treated with adjuvant bone-modifying agents (BMA).

Methods
This CPS was developed based on a critical evaluation of the literature followed by a structured discussion of a group of leading experts, members of the Oral Care Study Group of MASCC/ISOO. The information is presented in the form of succinct bullets and tables to generate a short manual about the best standard of care.

Results
In patients treated with adjuvant BMA, dento-alveolar surgery poses a moderate risk for MRONJ that ranges between the high risk for MRONJ in patients with metastatic breast cancer and the low risk for MRONJ in patients with osteoporosis. Existing MRONJ guidelines serve as a starting point for adjuvant BMA use. Urgent procedures should be delivered without delay using the accepted precautions to prevent MRONJ. If elective surgery is considered, the individual risk for MRONJ following surgery should be assessed according to common risk factors.

Conclusion
Prevention of MRONJ in primary breast cancer patients treated with adjuvant BMA requires risk–benefit assessment; collaboration between the medical team, dental professional, and patient; and patient-specific tailored dental treatment planning. The patient should be informed about this risk. Additional research is needed to define optimal MRONJ care for this population.
Outcomes after selective nerve root blockade for lumbar radicular pain from lumbar disc hernia or lumbar spinal stenosis assessed by the PROMIS-29 – a prospective observational cohort study
Authors: Karlsson Caroline , Carlsson Erik , Åkerstedt Josefin , Lilja Petrus , von Essen Christoffer , Tabatabaei Pedram , Wänman Johan 
Published: July 2024

Abstract

Purpose
Selective nerve root blocks (SNRB) are used both as a therapeutic and diagnostic tool for lumbar radicular pain. Most studies evaluate the effect of SNRB simply by its relation to pain reduction. It is well known that pain is associated with other factors such as depression, anxiety, inactivity and sleeping disorders, but these patient-related outcomes are seldom evaluated. This study evaluated the influence of SNRB on pain-related outcomes including depression, anxiety, fatigue, pain interference, activity and sleep.

Methods
One hundred three patients with lumbar radicular pain were treated with a SNRB. Patient-reported outcome measures (PROMs) were assessed with the PROMIS-29 for 12 weeks (84 days) following the SNRB. Patients were stratified based on their pain reduction at the 14-day follow up as responders (≥ 30% pain reduction) and non-responders (< 30% pain reduction). Post-treatment duration was estimated with the Kaplan–Meier analysis with return to baseline as an event. A paired t-test was used to compare pre- and post-treatment responses at specific time intervals.

Results
Forty-four percent (n = 45) of the patients were responders and showed significant improvement in all parameters throughout the 84-days follow-up, the exception was sleep that lost significance at day 70. The mean post-treatment duration among responders was 59 (52–67) days. Non-responders showed significant improvements in pain interference and pain intensity until day 35 and in ability for social participation until 21-day.

Conclusion
SNRB can improve pain intensity, pain interference, physical function, fatigue, anxiety, depression, sleep disturbance and the ability to participate in social roles.
Contribution of testosterone and estradiol in sexual dimorphism of early-onset Parkinson’s disease
Authors: Bovenzi Roberta , Conti Matteo , Simonetta Clara , Bissacco Jacopo , Mascioli Davide , Michienzi Vito , Pieri Massimo , Cerroni Rocco , Liguori Claudio , Pierantozzi Mariangela , Stefani Alessandro , Mercuri Nicola Biagio , Schirinzi Tommaso 
Published: July 2024

Abstract
Early-onset Parkinson’s disease (EOPD) occurs during the fertile life, when circulating neuroactive sex hormones might enhance the sexual dimorphism of the disease. Here, we aimed to examine how sex hormones can contribute to sex differences in EOPD patients. A cohort of 34 EOPD patients, 20 males and 14 females, underwent comprehensive clinical evaluation of motor and non-motor disturbances. Blood levels of estradiol, total testosterone, follicle-stimulating hormone, and luteinizing hormone were measured in all patients and correlated to clinical features. We found that female patients exhibited greater non-motor symptoms and a relatively higher rate of dystonia than males. In females, lower estradiol levels accounted for higher MDS-UPDRS-II and III scores and more frequent motor complications, while lower testosterone levels were associated with a major occurrence of dystonia. In male patients, no significant correlations emerged. In conclusion, this study highlighted the relevance of sex hormone levels in the sexual dimorphism and unique phenotype of EOPD.
Reinforced colour preference of parasitoid wasps in the presence of floral scent: a case study of a cross-modal effect
Authors: Kugimiya Soichi , Shimoda Takeshi , Takabayashi Junji 
Published: July 2024

Abstract
We examined the possibility of a cross-modal effect in naïve Cotesia vestalis, a parasitoid wasp of diamondback moth larvae, by using artificial flower models of four colours (blue, green, yellow, and red) in the absence or presence of floral scent collected from Brassica rapa inflorescences. In a four-choice test, regardless of the floral scent, non-starved female wasps visited green and yellow models significantly more often than blue and red ones, although no significant difference was observed between visits to the green and yellow models. They seldom visited blue and red models. When starved, the wasps became even more particular, visiting yellow significantly more frequently than green models, irrespective of the presence of the floral scent, indicating that they preferred to use yellow visual cues in their food search. Furthermore, a factorial analysis of variance revealed a significant effect of the interaction between model colour and floral scent on the wasps’ visits to flower models. The floral scent induced starved and non-starved wasps to visit yellow and green models about twice as often as without the scent. A cross-modal effect of olfactory perception on the use of chromatic information by wasps may allow them to search efficiently for food sources.
Understanding digital engagement: factors influencing awareness and satisfaction of digital transformation
Authors: Jo Hyeon , Ahn Hyun Yong 
Published: July 2024

AbstractIn an era marked by rapid digital transformation, understanding the factors that influence digital engagement is crucial for bridging the digital divide. This study aims to explore the impact of individual factors such as networking motive, social media use, content service usage, and economic activity on digital transformation awareness and satisfaction. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from 7,000 respondents of the National Information Society Agency (NIA)'s 2022 Digital Divide Survey, this research provides empirical insights into the dynamics of digital engagement. The findings reveal that networking motive significantly predicts social media use, which in turn slightly enhances digital transformation awareness but not satisfaction. Conversely, economic activity positively influences both awareness and satisfaction with digital transformation, underscoring the tangible benefits of digital economic engagement. Life service utilization emerged as a crucial factor, significantly impacting both awareness and satisfaction. These results offer critical implications for policymakers, educators, and digital platform developers, suggesting the need for targeted strategies to enhance digital literacy, promote inclusive digital services, and foster economic opportunities in the digital domain.
Enhancing data preparation: insights from a time series case study
Authors: Sancricca Camilla , Siracusa Giovanni , Cappiello Cinzia 
Published: July 2024

Abstract
Data play a key role in AI systems that support decision-making processes. Data-centric AI highlights the importance of having high-quality input data to obtain reliable results. However, well-preparing data for machine learning is becoming difficult due to the variety of data quality issues and available data preparation tasks. For this reason, approaches that help users in performing this demanding phase are needed. This work proposes DIANA, a framework for data-centric AI to support data exploration and preparation, suggesting suitable cleaning tasks to obtain valuable analysis results. We design an adaptive self-service environment that can handle the analysis and preparation of different types of sources, i.e., tabular, and streaming data. The central component of our framework is a knowledge base that collects evidence related to the effectiveness of the data preparation actions along with the type of input data and the considered machine learning model. In this paper, we first describe the framework, the knowledge base model, and its enrichment process. Then, we show the experiments conducted to enrich the knowledge base in a particular case study: time series data streams.
BDI-II: Self-Report and Interview-based Administration Yield the Same Results in Young Adults
Authors: Gottfried Jaroslav , Chvojka Edita , Klocek Adam , Kratochvil Tomas , Palíšek Petr , Tancoš Martin 
Published: July 2024

AbstractBeck Depression Inventory-II (BDI-II) is one of the most used instruments for depression assessment. Stepankova Georgi, H., Vlckova,H., Lukavsky, K., Kopecek, J., M., & Bares, M. (2019). Beck Depression Inventory-II: Self-report or interview-based administrations show different results in older persons. International Psychogeriatrics, 31(5), 735–742.) found that BDI-II yielded lower scores when administered to elderly participants in the interview form after previous questionnaire form. Stepankova Georgi et al. imply that some participants misunderstand the instructions, which inflates their score, and that the interview form of BDI-II has a potential to prevent such bias thanks to the interviewer’s feedback. However, many studies have found a decrease in BDI-II scores simply due to the repeated administration. Our study aims to test whether the hypothesis of Stepankova Georgi, H., Vlckova, H., Lukavsky, K., Kopecek, J., M., & Bares, M. (2019). Beck Depression Inventory-II: Self-report or interview-based administrations show different results in older persons. International Psychogeriatrics, 31(5), 735–742.) is plausible by using a sample of young adults without cognitive impairment. We administered the Czech version of BDI-II in both the questionnaire and the interview form to a convenience sample of 125 young adults (Mage = 22.3, 60% women) and performed a Wilcoxon signed-rank test to within-subject compare mean scores. We show that both administration forms yield similar mean scores. The results imply that BDI-II can be administered to young adults without cognitive impairment in either form without the risk of substantial bias, but the interview form can still prevent misunderstanding of instructions in some respondents.
Degradation effects in FRNC jackets of optical fiber cables
Authors: Węglarska Agata , Piechocki Krzysztof , Danek Maciej , Kozanecki Marcin 
Published: July 2024

AbstractIn large scale manufacturing, polymeric materials for cable jackets are subjected to high temperature and shear, what can induce degradation processes. In result, changes in structure of polymer materials can occur what is critical for their applications. Permanent market pressure on increase of productivity and product reliability as well as rigorous administrative regulations in telecommunication industry are the driving forces for development and introduction of new advanced Flame Retardant Non-corrosive jacketing materials. Despite many studies, their behavior is still neither well characterized nor understood in large-scale production. The object of studies was characterization of a relationship between processing conditions and effects of degradation of FRNC cable materials. The main goal was to find the processing factors limiting the production speed. Materials taken into consideration were two commercially available thermoplastic FRNC compounds dedicated to fiber optic cables, based on linear low-density polyethylene/ethylene–vinyl acetate composites with high loading of aluminum trihydroxide and magnesium dihydroxide fillers. Thermal degradation of cable materials was studied with use of thermogravimetry and rheometry. The series of jacket samples under different processing conditions were produced. Material processing behavior was characterized, and tensile and heat aging performance of cable jacket were tested. The results showed that the primary limiting factors for line speed increase were the melt pressure and jacket tensile performance, but neither the shrinkage nor extruder motor load. The result and general approach to the FRNC investigation can be successfully used in cable industry or in other industries involving the extrusion of FRNC materials.
Distinguishing imagining from perceiving: reality monitoring and the ‘Perky effect’
Authors: Todd Cain 
Published: July 2024

AbstractThis paper examines the problem of how we distinguish, phenomenologically, sensory imagination from perception. I suggest that philosophical discussions of this issue have been hampered by a surprising failure to carefully distinguish what is involved in our awareness of being in a state of imagining, from our awareness of the imagistic content. Rectifying this allows us, first, to gain a clearer insight into the problem at issue, and it also allows for a new interpretation of the so-called ‘Perky effect’, whereby subjects supposedly confuse imagining for perceiving. Second, it allows us to give a more nuanced account of reality monitoring and of the metacognitive mechanisms underpinning the phenomenal features we rely upon to distinguish state from content.
Identifiability of Level-1 Species Networks from Gene Tree Quartets
Authors: Allman Elizabeth S. , Baños Hector , Garrote-Lopez Marina , Rhodes John A. 
Published: July 2024

AbstractWhen hybridization or other forms of lateral gene transfer have occurred, evolutionary relationships of species are better represented by phylogenetic networks than by trees. While inference of such networks remains challenging, several recently proposed methods are based on quartet concordance factors—the probabilities that a tree relating a gene sampled from the species displays the possible 4-taxon relationships. Building on earlier results, we investigate what level-1 network features are identifiable from concordance factors under the network multispecies coalescent model. We obtain results on both topological features of the network, and numerical parameters, uncovering a number of failures of identifiability related to 3-cycles in the network. Addressing these identifiability issues is essential for designing statistically consistent inference methods.
The role of engagement in retaining volunteers
Authors: Lorente Jose M. , Küster Inés , Vila Natalia 
Published: July 2024

AbstractUnder the Theory of Self-Determination, this paper determines the moderating role of volunteers’ engagement in their motivation and retention. A study with 761 volunteers from different types of NGOs and SEM methodology shows that (1) higher levels of psychological need to feel competent are associated with higher intrinsic motivation, and (2) higher volunteer satisfaction leads to higher intention to recommend the NGO to others; more in higher engaged volunteers. This study proposes that NGO managers should allow volunteers to choose the tasks that best meet their needs and even design their volunteer opportunities with motivating and meaningful tasks tailored to their preferences. The paper contributes as follows: (1) although the volunteer’s motivation has been studied, little research has focused on why a person wishes to volunteer and remain a volunteer; (2) the study of engagement applied to the field of volunteering is relative novel; and (3) there is a weakness in the literature related to the measures used to study volunteering motivations and engagement.
High-performance, miniaturized and configurable power and control unit for electrospray thrusters
Authors: Blázquez-Plaza Francisco José , Barrado Andrés , Wijnen Mick 
Published: July 2024

AbstractElectrospray thrusters offer remarkable efficiency at low power levels and compact form factor, positioning them as promising propulsion systems for small satellite platforms. This paper introduces the design of a miniaturized Power and Control Unit for electrospray thrusters. The system fits within the pocketsat form factor while ensuring high-performance, high-voltage power conversion and effective thrust generation in this propulsion technology. The paper goes through the architecture of the Power and Control Unit and its different subsystems, where the high-performance power converter is studied in detail. The system is built in a 42 $$\times$$
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42 $$\times$$
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25 mm3 and 39 g weight stacked hardware unit, achieving a configurable bipolar voltage output with the implemented control algorithm. The system undergoes experimental verification, where a power conversion efficiency over 90% was measured within the output range of 2-10W and 1-2kV, validating soft-start, thruster voltage alternation, and variation of the thruster set point in real time. The final milestone is the successful 7-hour emission test with electrospray thrusters under vacuum conditions, ensuring the system’s suitability for real-world applications related to electrospray propulsion for small satellites.