bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of plasma-rich platelet injection to perianal sphincters on incontinence and quality of life in patients with rectal cancer after low anterior or intersphincteric resection: a prospective cohort study
Authors: Haksal M. , Akın M. S. , Karagoz E. , Kocak M. , Korkut E. , Shahhosseini R. , Gögenur I. , Oncel M. 
Published: August 2024

Abstract
Background
Incontinence is not rare after rectal cancer surgery. Platelet-rich plasma may promote tissue repair and generation but has never been tested for the treatment of anal incontinence. This study evaluated the impact of platelet-rich plasma injection on the severity of incontinence and quality of life after low rectal cancer surgery.

Methods
This is a prospective cohort proof of concept study in a colorectal cancer institution. Patients had undergone low anterior or intersphincteric resection for low rectal cancer and had a Wexner score > 4. Ten milliliters of platelet-rich plasma were injected into the internal and external sphincters under endoanal ultrasound (EAUS) guidance. Primary outcome measure was > 2 point improvement in Wexner score (improved group). The patients were assessed with endo-anal ultrasound examination, manometry, the Wexner Questionnaire and SF-36 Health Surveys, and patients were asked whether they used pads and antidiarrheal medications before and 6 months after PRP injection.

Results
Of 20 patients included in the study, 14 (70%) were men, and the average age was 56.8 (SD = 9.5) years. No statistically significant difference was found in Wexner scores before and after PRP injection (p = 0.66). Seven (35%) patients experienced a > 2 point improvement in Wexner score. Rectal manometry demonstrated improved squeezing pressure (p = 0.0096). Furthermore, physical functioning scoring (p = 0.023), role limitation (p = 0.016), emotional well-being (p = 0.0057) and social functioning (p = 0.043) domains on the SF-36 questionnaire improved. One (5%) and three (15%) patients stopped using pads and antidiarrheal medications.

Conclusion
Platelet-rich plasma injection does not restore Wexner scores, but more than one-third of patients may benefit from this application with an improvement of > 2 points in their scores. Platelet-rich plasma injection may improve squeezing pressure and certain life quality measures for incontinent patients after rectal cancer surgery.
Die EU-Verordnung über die Wiederherstellung der Natur – Ein Überblick
Authors: Bodenbender Lukas 
Published: August 2024

ZusammenfassungDer massive Rückgang der Artenvielfalt ist spätestens seit der Verabschiedung des Kunming-Montreal
Global Biodiversity Framework 2022 in der breiten Politik und Öffentlichkeit angekommen. Dem europäischen
Gesetzgeber gelingt nun mit seiner Verordnung über die Wiederherstellung der Natur ein Meilenstein
des Naturschutzes, der an die Schutzkonzepte der Vogelschutzrichtlinie und der Flora-Fauna-Habitat-Richtlinie
anknüpft und diese durch unmittelbar verbindliche Ziele flankiert. Der hiesige Beitrag stellt die
wesentlichen Inhalte im Überblick dar.
Household Financial Fragility, Debt and Income in a Dynamic Model
Authors: Calcagnini Giorgio , Favaretto Federico , Giombini Germana , Tramontana Fabio 
Published: August 2024

Abstract
We develop a novel dynamic model for household debt and household income change studying the interaction between financial fragility and financial literacy. We compare the results to the U.S. data under several parameterizations. Households react pro-cyclically to income shocks and are better able to represent aggregate data when financial literacy is low.
Artificial intelligence and myocarditis—a systematic review of current applications
Authors: Łajczak Paweł Marek , Jóźwik Kamil 
Published: August 2024

AbstractMyocarditis, marked by heart muscle inflammation, poses significant clinical challenges. This study, guided by PRISMA guidelines, explores the expanding role of artificial intelligence (AI) in myocarditis, aiming to consolidate current knowledge and guide future research. Following PRISMA guidelines, a systematic review was conducted across PubMed, Cochrane Reviews, Scopus, Embase, and Web of Science databases. MeSH terms including artificial intelligence, deep learning, machine learning, myocarditis, and inflammatory cardiomyopathy were used. Inclusion criteria involved original articles utilizing AI for myocarditis, while exclusion criteria eliminated reviews, editorials, and non-AI-focused studies. The search yielded 616 articles, with 42 meeting inclusion criteria after screening. The identified articles, spanning diagnostic, survival prediction, and molecular analysis aspects, were analyzed in each subsection. Diagnostic studies showcased the versatility of AI algorithms, achieving high accuracies in myocarditis detection. Survival prediction models exhibited robust discriminatory power, particularly in emergency settings and pediatric populations. Molecular analyses demonstrated AI’s potential in deciphering complex immune interactions. This systematic review provides a comprehensive overview of AI applications in myocarditis, highlighting transformative potential in diagnostics, survival prediction, and molecular understanding. Collaborative efforts are crucial for overcoming limitations and realizing AI’s full potential in improving myocarditis care.
Long-term outcomes of catheter ablation for atrial fibrillation in octogenarians
Authors: Kozhuharov Nikola , Karim Nabeela , Creta Antonio , Leung Lisa W. M. , Veasey Rick , Osmanagic Armin , Kefala Anna , Pope Mike , Vouliotis Apostolos , Knecht Sven , Krisai Philipp , Jaïs Pierre , Martin Claire , Sticherling Christian , Ginks Matthew , Ullah Waqas , Balasubramaniam Richard , Kalla Manish , Gallagher Mark M. , Hunter Ross J. , Wong Tom , Gupta Dhiraj 
Published: August 2024

Abstract
Background and aims
Catheter ablation is superior to pharmacological therapy in controlling atrial fibrillation (AF). There are few data on the long-term outcome of AF ablation in octogenarian patients. This analysis aims to evaluate the outcome of AF ablation in octogenarians vs. younger patients.

Methods
In this retrospective study in 13 centres in the UK, France, and Switzerland, the long-term outcomes of 473 consecutive octogenarian patients undergoing ablation for AF were compared to 473 matched younger controls (median age 81.3 [80.0, 83.0] vs. 64.4 [56.5, 70.7] years, 54.3% vs. 35.1% females; p-value for both < 0.001). The primary endpoint was the recurrence of atrial arrhythmia after a blanking period of 90 days within 365 days of follow-up.

Results
Acute ablation success as defined as isolation of all pulmonary veins was achieved in 97% of octogenarians. Octogenarians experienced more procedural complications (11.4% vs 7.0%, p = 0.018). The median follow-up time was 281 [106, 365] days vs. 354 [220, 365] days for octogenarians vs. non-octogenarians (p < 0.001). Among octogenarians, 27.7% (131 patients) experienced a recurrence of atrial arrhythmia, in contrast to 23.5% (111 patients) in the younger group (odds ratio 1.49; 95% confidence interval 1.16–1.92; p = 0.002). In a multivariable regression model including gender, previous AF ablation, vascular disease, chronic kidney disease, CHA2DS2-VASc score, left atrial dilatation, and indwelling cardiac implantable electronic device, age above 80 remained an independent predictor of recurrence of arrhythmia.

Conclusion
Ablation for AF is effective in octogenarians, but is associated with slightly higher procedural complication rate and recurrence of atrial arrhythmia than in younger patients.

Graphical Abstract
Inferring Kinetics and Entropy Production from Observable Transitions in Partially Accessible, Periodically Driven Markov Networks
Authors: Maier Alexander M. , Degünther Julius , van der Meer Jann , Seifert Udo 
Published: August 2024

AbstractFor a network of discrete states with a periodically driven Markovian dynamics, we develop an inference scheme for an external observer who has access to some transitions. Based on waiting-time distributions between these transitions, the periodic probabilities of states connected by these observed transitions and their time-dependent transition rates can be inferred. Moreover, the smallest number of hidden transitions between accessible ones and some of their transition rates can be extracted. We prove and conjecture lower bounds on the total entropy production for such periodic stationary states. Even though our techniques are based on generalizations of known methods for steady states, we obtain original results for those as well.
Nanocomposite polyphenyleneoxide with amino-functionalized silica: structural characterization based on thermal analysis
Authors: Petreanu Irina , Niculescu Violeta-Carolina , Soare Amalia , Iacob Ciprian , Teodorescu Mircea 
Published: August 2024

AbstractA polymer nanocomposite based on sulfonated polyphenylene oxide with amino-functionalized mesoporous silica was designed, synthesized, and tested as a new material for proton exchange membrane (PEM preparation. Characterization of the intermediate and final products of synthesis was realized by Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and thermal analysis. Broadband Dielectric Spectroscopy (BDS) was used to determine dielectric properties including ionic conductivity. Thermogravimetric analysis has provided important information regarding the composition and thermal stability of the three compounds, subject to thermal degradation: 1) the amino-silica with cetyltrimethylammonium bromide (CTAB) template inside the pores (MS-NH2I), 2) the mesoporous amino-silica after removing the template (MS-NH2II) and 3) the polymer nanocomposite (sPPO-MS-NH2). The thermal decomposition of the composite samples occurs in three stages: in the first, up to 150 °C, water and organic solvents were lost; the second stage, between 200-300 °C, was due to breaking the organic functionalities (-NH2, amino and -SO3H, sulfonic acid), and the third stage, above 400 °C was due to polymer chain degradation. The final residue at 700 °C reflects the contribution of inorganic silica. The proton conductivity, for polymeric (sPPO) and composite (sPPO-MS-NH2) membranes was determined from BDS dates, both in dry and hydrated states. For dried samples, the higher values of proton conductivities were: 0.16 mS cm−1 (sPPO, 70 °C) and 0.03 mS cm−1 (sPPO-MS-NH2, 120 °C), and the higher values of proton conductivity increased for the hydrated samples with two orders of magnitude: 36.5 mS cm−1 (sPPO, 40 °C) and 22.4 mS cm−1 (sPPO-MS-NH2, 50 °C). However, the proton conductivity is still dependent on the hydration state, even for the composite membrane.
Ties that Sever: Losing the Right to Belong in Denmark
Authors: Carlson Kerstin Bree 
Published: August 2024

AbstractIn 2018, the Danish Supreme Court revoked Adam Johansen’s citizenship in conjunction with his conviction for terrorism. Applying a proportionality test adapted from European Court of Human Rights (ECtHR) jurisprudence for naturalised, not natural, citizens, the Danish court determined that Johansen’s Muslim faith tied him to Tunisia, his father’s country, rather than to Denmark. In March 2022, the ECtHR unanimously upheld this judgment. In so doing, the ECtHR solidified an emerging standard in cases of citizenship revocation for natural citizens, which standard is weaker than the protections enjoyed by naturalised citizens. This article reviews the Danish and ECtHR jurisprudence to show how the explosive expansion of citizenship revocation in relation to terror crimes, combined with the ECtHR’s emerging jurisprudence rejecting substantive review for such revocation, demonstrates a significant, multidirectional weakening of rights protections in Europe.
Generative artificial intelligence: a systematic review and applications
Authors: Sengar Sandeep Singh , Hasan Affan Bin , Kumar Sanjay , Carroll Fiona 
Published: August 2024

AbstractIn recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been propelled by the groundbreaking capabilities of generative models both in supervised and unsupervised learning scenarios. Generative AI has shown state-of-the-art performance in solving perplexing real-world conundrums in fields such as image translation, medical diagnostics, textual imagery fusion, natural language processing, and beyond. This paper documents the systematic review and analysis of recent advancements and techniques in Generative AI with a detailed discussion of their applications including application-specific models. Indeed, the major impact that generative AI has made to date, has been in language generation with the development of large language models, in the field of image translation and several other interdisciplinary applications of generative AI. Moreover, the primary contribution of this paper lies in its coherent synthesis of the latest advancements in these areas, seamlessly weaving together contemporary breakthroughs in the field. Particularly, how it shares an exploration of the future trajectory for generative AI. In conclusion, the paper ends with a discussion of Responsible AI principles, and the necessary ethical considerations for the sustainability and growth of these generative models.
Relationship Between Weight Loss, Changes in Serum hs-CRP Levels and apo A-1 Lipoprotein, and High-Density Lipoprotein-Cholesterol Ratios as Predictors for Improved Cardiovascular Risk Factors After Laparoscopic Sleeve Gastrectomy
Authors: Hany Mohamed , Demerdash Hala M. , Abouelnasr Anwar Ashraf , Agayby Ann Samy Shafiq , Ibrahim Mohamed , Arida Ramy E. , Torensma Bart 
Published: August 2024

Abstract
Introduction
Obesity, a major global health concern, is a known risk factor for cardiovascular disease (CVD), often due to dyslipidemia and insulin resistance. Laparoscopic sleeve gastrectomy (LSG) is an effective weight reduction surgery that not only alters body metabolism and gastrointestinal physiology but also significantly lowers cardiovascular disease risk.

Methods
This study explores the impact of weight loss on serum high-sensitivity C-reactive protein (hs-CRP), an established inflammatory marker, and changes in cardiovascular risk factors, particularly high-density lipoprotein-cholesterol (HDL-C) ratios, serum apo A-1, lipid profile, and HOMA-IR in severe obesity undergoing LSG. Anthropometric measurements and blood samples were collected preoperatively and 6 months postoperatively to hs-CRP, HOMA-IR, lipid profile, apo A-1, and low- and high-density lipoprotein-cholesterol (LDL-C/HDL-C) ratios, total cholesterol to HDL-C (TC/HDL-C) ratio, and monocyte to high-density lipoprotein-cholesterol ratio (MHR).

Results
In total, 70 patients were analyzed after 6 months and reached %TWL 27.4 ± 9.5 and %EWL 62.0 ± 15.4. Significant improvements were noted in all measured biomarkers. Analysis showed that each unit reduction in BMI significantly affected hs-CRP and HDL-C. Furthermore, moderate associations between hs-CRP and various cardiovascular disease risk biomarkers, including a negative correlation with apo A-1 and positive correlations with total cholesterol (TC), TC/HDL-C, and LDL-C/HDL-C, along with a mild positive correlation with HOMA-IR.

Conclusion
Weight loss following LSG significantly reduced inflammation and improved atheroprotection. Improved inflammation markers were associated with favorable changes in cardiovascular risk factors, including HDL-C ratios particularly TC/HDL-C, LDL-C/HDL-C, and apo A-1.

Graphical Abstract
miR-92a-3p and miR-320a are Upregulated in Plasma Neuron-Derived Extracellular Vesicles of Patients with Frontotemporal Dementia
Authors: Manzini Valeria , Cappelletti Pamela , Orefice Nicola S. , Brentari Ilaria , Rigby Michael J. , Lo Giudice Maria , Feligioni Marco , Rivabene Roberto , Crestini Alessio , Manfredi Francesco , Talarico Giuseppina , Bruno Giuseppe , Corbo Massimo , Puglielli Luigi , Denti Michela A. , Piscopo Paola 
Published: August 2024

Abstract
Despite the efforts to identify fluid biomarkers to improve diagnosis of Frontotemporal dementia (FTD), only a few candidates have been described in recent years. In a previous study, we identified three circulating miRNAs (miR-92a-3p, miR-320a and miR-320b) differentially expressed in FTD patients with respect to healthy controls and/or Alzheimer’s disease (AD) patients. Now, we investigated whether those changes could be due to miRNAs contained in neuron-derived extracellular vesicles (NDEVs). We also evaluated miRNAs content in total plasma EVs and in CSF samples. The analysis of plasma NDEVs carried out on 40 subjects including controls (n = 13), FTD (n = 13) and AD (n = 14) patients, showed that both miR-92a-3p and miR-320a levels were triplicated in the FTD group if compared with CT and AD patients. Increased levels of the same miRNAs were found also in CSF derived from FTD group compared to CTs. No differences were observed in expression levels of miR-320b among the three groups. Worthy of note, all miRNAs analysed were increased in an FTD cell model, MAPT IVS10 + 16 neurons. Our results suggest that miR-92a and miR-320a in NDEVs could be proposed as FTD biomarkers.
Optimization of energy consumption in vertical mobility systems of high-rise office buildings: A case study from a developing economy
Authors: Thebuwena A. C. H. J. , Samarakoon S. M. Samindi M. K. , Ratnayake R. M. Chandima 
Published: August 2024

AbstractElevator systems serve as the primary mode of transportation in tall buildings which consumes approximately 5–15% of a building's total energy demand. This research explores the potential for energy savings in elevator systems while maintaining passenger comfort through the implementation of green approaches. The research concentrates on a contemporary high-rise office building situated in the central business district of a developing economy. It employs a case study methodology involving traffic simulation to determine optimal elevator specifications for industry-standard service levels. By conducting the simulation, the researchers identified the optimal number of elevators, elevator capacity, speed, and the most suitable elevator management system. Following that, a range of green measures were implemented, including the incorporation of a regenerative system, to effectively reduce the electrical energy consumption of the elevator system. Subsequently, a passenger traffic simulation model was integrated with an energy calculation model to jointly simulate and calculate the elevator system's overall energy consumption and regeneration. The elevator energy requirements were optimized, while maintaining user-friendliness and requirements related to guidelines given in the standards. The results showed that 36% of the energy consumption was reduced by incorporating an energy regenerative option into the elevator system in addition to selecting efficient mechanical components and implementing an efficient elevator traffic management system. This research contributes to the limited body of literature on energy optimization in elevators and emphasizes the importance of balancing energy efficiency with service quality. These findings provide guidance for establishing benchmarks in reducing energy consumption, in relation to elevator systems.
Prognostic value of a novel myeloid-to-lymphoid ratio biomarker in advanced gastric cancer
Authors: Pan Yuting , Ma Yue , Dai Guanghai 
Published: August 2024

Abstract
Background
Currently, immune checkpoint inhibitors (ICIs) have excellent performance in the clinical treatment of advanced gastric cancer (AGC). However, precisely selecting AGC patients who can benefit from immunotherapy is an urgent difficulty. In this study, we investigated the immunoprognostic role of myeloid-to-lymphocyte ratio (M:L) in AGC patients.

Methods
We collected information on 268 AGC patients who were hospitalized in the Department of Medical Oncology of PLA General Hospital from December 2014 to May 2021. The patients were divided into low M: L group (< 3.76) and high M:L group (≥ 3.76). Survival differences between different M: L level groups at baseline and after treatment were analyzed by methods such as Kaplan–Meier, Cox or Logistic regression model.

Results
Progression free survival (PFS) (5.8 months vs. 3.4 months, p = 0.001) and overall survival (OS) (14.1 months vs. 9.0 months, p = 0.001) were significantly longer in the low M:L group than in the high M:L group. After analyses of Cox regression modeling it was concluded that M:L was an independent prognostic factor for PFS (HR 1.371 95%CI 1.057–1.777 p = 0.017) and OS (HR 1.352 95%CI 1.003–1.824 p = 0.048), respectively. Subsequent subgroup analyses performed across immunotherapy lines, regimens, PD-1 inhibitor agents, and age groups revealed a poorer prognosis in the high M:L group. Notably, an increase in the value of M:L after treatment significantly increased the risk of poor prognosis.

Conclusions
M:L ≥ 3.76 is associated with poor prognostic outcomes in AGC patients receiving immunotherapy and may be a predictive biomarker of prognosis. This result needs to be confirmed by larger prospective studies.
How university management decision making affects academic educators’ wellbeing, decision making and ability to change
Authors: Bamforth Jill , Turner Kristina , Levin Elizabeth , Wu Bin , Waters Jeff , Gallagher Sean 
Published: August 2024

AbstractUniversity policy setting and implementation has the potential to significantly affect the quality and delivery of teaching and learning by effecting academic wellbeing and performance, particularly during times of significant change. Existing research predominately focuses on student wellbeing, largely overlooking academic wellbeing. This article presents a study which illustrates how university decision making can affect academic wellbeing. Fifteen academics were interviewed in June 2023 to explore how change shaped their teaching. Applying the lens of Self Determination Theory (SDT), the data were then analysed to identify how the university’s response to environmental change affected academic wellbeing and performance. The findings suggest that how institutions implement policy decisions, particularly in high stress environments, is critical to understanding how academics respond. This study provides a rationale for why, in times of significant change, clear upper management decision making, and effective resource management systems are essential to support academics in adopting wellbeing and coping behaviours. The authors conclude by recommending that the application of SDT may offer a structured approach for higher education policy makers and management decision makers to identify possible impacts of change on academic motivation, wellbeing and decision making.