bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adjuvant (chemo)radiotherapy for patients with head and neck cancer: can comorbidity risk scores predict outcome?
Authors: Marschner Sebastian N. , Maihöfer Cornelius , Späth Richard , Haehl Erik , Reitz Daniel , Kienlechner Nora , Schüttrumpf Lars , Baumeister Philipp , Pflugradt Ulrike , Heß Julia , Zitzelsberger Horst , Unger Kristian , Belka Claus , Walter Franziska 
Published: September 2024

Abstract
Purpose
This study compares the objective American Society of Anesthesiologists (ASA) and Adult Comorbidity Evaluation-27 (ACE-27) scores with the subjective Eastern Cooperative Oncology Group performance status (ECOG PS) for patient outcome prediction.

Methods
We retrospectively analyzed head and neck squamous cell carcinoma patients treated with adjuvant (chemo)radiotherapy at the LMU Munich from June 2008 to June 2015. The study focused on associations between patient outcomes; treatment failures; known risk factors (including human papillomavirus [HPV] status and tumor stage); and the comorbidity indices ECOG-PS, ASA score, and ACE-27. The Kaplan–Meier method and Cox proportional hazards model were used for survival analysis and identifying independent risk factors.

Results
A total of 302 patients were analyzed, 175 received concurrent chemotherapy. Median follow-up was 61.8 months, and median age at diagnosis was 61 years. The 3‑ and 5‑year overall survival (OS) and disease-free survival (DFS) rates were 70.5%/60.2% and 64.7%/57.6%, respectively. Both ACE-27 and ASA showed significant correlations with OS in univariate and multivariate analyses, while ECOG-PS was significant only in univariate analysis. ASA and ACE-27 scores were also significantly correlated with local and locoregional recurrence, but only HPV status and tumor stage were significant in multivariate models.

Conclusion
ACE-27 and ASA score effectively categorize patients’ risks in adjuvant radiotherapy for head and neck cancer, proving more predictive of overall survival than ECOG-PS. These results underscore the importance of objective comorbidity assessment and suggest further prospective studies.
The co-inoculation ratio of Hanseniaspora vineae-to-Saccharomyces cerevisiae correlates with aroma metabolic features in wine
Authors: Gallo Adelaide , Roman Tomas , Paolini Mauro , Cappello Nicola , Castello Denis , Schiavon Silvia , Guzzon Raffaele , Carrau Francisco , Schneider Rémi , Larcher Roberto 
Published: September 2024

AbstractHanseniaspora vineae is a non-Saccharomyces yeast used in winemaking to increase the complexity of wines. However, the fermentation rate in sequential inoculations may be challenging, particularly in industrial winemaking settings. This study aimed to assess how different co-inoculation protocols involving H. vineae and S. cerevisiae affect the fermenting performance and aroma of white and red wines. White and red wines were co-fermented with varying H. vineae-to-S. cerevisiae ratios (67%, 80%, 90%, 95%, and 98%). Results were compared to sequential and pure S. cerevisiae inoculation. Co-inoculation mitigated the inhibitory mechanisms associated with sequential inoculation, resulting in a reduction of 30 days and 6 days of fermentation for white and red wines, respectively. Moreover, the fermentation time in co-inoculation was similar to that of the controls, thereby avoiding the slowdowns typically observed in sequential inoculation. Five yeast-derived metabolic markers, two of which characterizing H. vineae metabolism, were studied to evaluate the processes. In white wines, β-phenylethyl acetate and benzyl alcohol were increased by H. vineae up to 64-fold and sevenfold, respectively, while ethyl hexanoate was fourfold higher in S. cerevisiae. In addition, 2-phenylethanol was up to twofold higher in S. cerevisiae. The results for isoamyl acetate varied depending on the co-inoculation ratio. At 67% and 80%, the H. vineae protocols showed the highest concentration, even exceeding that of S. cerevisiae pure inoculation. All compounds correlated linearly with the H. vineae-to-S. cerevisiae ratio at inoculum. The same trends were observed in red wines, but to a different extent.
Cushion sea-star removal enhances coral restoration practices and limits background mortality on recovering reefs
Authors: Walker Matthew , Mezger Selma D. , Clarke Aiden , Pessoa Igor , Leonhardt Johanna , Allahgholi Ahmad , Craggs Jamie , Sweet Michael John 
Published: September 2024

AbstractThe capacity for natural coral reef recovery and the effectiveness of active restoration efforts are often contingent upon uncertain and understudied background variables, such as chronic predation for example. In the Maldives, small coral colonies (< 10 cm), primarily from the genera Pocillopora and Acropora (often found recolonising degraded reefs) are frequently predated on by the spiny cushion sea-star (Culcita schmideliana). Incidentally, these same corals (especially Acroporids) are often prioritised in active reef restoration practices. However, the level of risk these corallivores pose on restoration success has not yet been assessed. Here, we aimed to initially document the population densities of C. schmideliana on a degraded reef system in the Maldives (Kunfunadhoo, Baa Atoll). We then assessed their associated predatory effects on coral recruits and transplants, and explored the benefits of C. schmideliana removal on the survival of these corals. Population densities ranged between 1.2 and 3.3 individuals per 100 m2, which resulted in high predation rates on coral recruits (4 – 20%) and transplants (11 – 43%). Culcita schmideliana predation accounted for the majority of the documented mortality (85%). Where C. schmideliana were removed, a significant increase in survival for recruits (9% higher) and transplants (24% higher) was shown. Further observations linked a cessation of C. schmideliana removal to a significant rise in predation instances for previously protected corals (up to 52%). Our study therefore highlights the severe impacts of C. schmideliana predation and shows Culcita spp. population management as a viable passive solution for effective reef restoration.
The scientific nature of the linear no-threshold (LNT) model used in the system of radiological protection
Authors: Wojcik Andrzej , Zölzer Friedo 
Published: September 2024

AbstractDuring the first half of the 20th century, it was commonly assumed that radiation-induced health effects occur only when the dose exceeds a certain threshold. This idea was discarded for stochastic effects when more knowledge was gained about the mechanisms of radiation-induced cancer. Currently, a key tenet of the international system of radiological protection is the linear no-threshold (LNT) model where the risk of radiation-induced cancer is believed to be directly proportional to the dose received, even at dose levels where the effects cannot be proven directly. The validity of the LNT approach has been questioned on the basis of a claim that only conclusions that can be verified experimentally or epidemiologically are scientific and LNT should, thus, be discarded because the system of radiological protection must be based on solid science. The aim of this publication is to demonstrate that the LNT concept can be tested in principle and fulfils the criteria of a scientific hypothesis. The fact that the system of radiological protection is also based on ethics does not render it unscientific either. One of the fundamental ethical concepts underlying the LNT model is the precautionary principle. We explain why it is the best approach, based on science and ethics (as well as practical experience), in situations of prevailing uncertainty.
Success rate of single versus multiple debridement, antibiotics, and implant retention (DAIR) in hip and knee periprosthetic joint infection: a systematic review and meta-analysis
Authors: Salman Loay A. , Altahtamouni Seif B. , Khatkar Harman , Al-Ani Abdallah , Ahmed Ghalib 
Published: September 2024

Abstract
Purpose
This systematic review aimed to compare outcomes between multiple and single debridement, antibiotics, and implant retention (DAIR) procedures for early periprosthetic joint infection (PJI) in hip and knee arthroplasty.

Methods
Four databases were searched from inception till January 2024 for original studies investigating the outcomes of multiple DAIR in hip and knee PJI. The primary outcome was the success rate in eradicating joint infection. This review was conducted per PRISMA guidelines.

Results
A total of 9 observational studies with 1104 participants were included, with a mean age and BMI of 58.37 years (95%CI: 25.77–90.98) and 31.43 kg/m2 (95%CI: 28.89–34.98), respectively. The mean follow-up period was 58.37 months (95%CI: 25.77–90.98), and the average MINORS score assigned to the review was 17.6 ± 3.46, indicating a low overall risk of bias. An equivalent success rate between single and double DAIR was observed, at 67% (95%CI: 64–71%) and 70% (95%CI: 48–86%), respectively, with no statistically significant difference between the two treatment modalities (p = 0.740). Additionally, the success rate for triple DAIR ranged from 50 to 60%.

Conclusion
This study suggests that double DAIR is a valid treatment option for acute PJI after TKA and THA, with a success rate comparable to single DAIR (70% vs. 67%, p = 0.740). Triple DAIR achieved success rates ranging from 50 to 60%. However, caution is warranted when interpreting these results due to heterogeneity in host comorbidity factors, DAIR protocols, and antibiotic regimens.

Level of Evidence
Therapeutic, Level III.
Magnetic seed technology for the efficient removal of nitrogen from wastewater
Authors: Li Si , Zhu Guocheng , Yan Shijun , Hursthouse Andrew S. 
Published: September 2024

AbstractNitrogen pollution is a global issue impacting ecosystems, climate change, human health, and the economy. The challenge to reduce nitrogen pollution as a priority highlights the wastewater treatment system an important point of control. Coagulation, a common water treatment process, has a positive impact on the overall treatment process but often struggles to address nitrogen pollution effectively. Our study introduces a novel magnetic seed to enhance coagulation in treating nitrogen pollution, offering a new solution for the global water treatment industry. We focus on the efficiency, mechanistic detail, and recovery potential of a magnetic zirconium tannate in treating real-world wastewater nitrogen under coagulation conditions. Results show that 9 g/L of magnetic zirconium tannate effectively removes ammonia nitrogen, organic nitrogen, and total nitrogen from five different wastewater types. For low-concentration wastewater with ammonia nitrogen below 20 mg/L and organic nitrogen below 5 mg/L, removal rates reach up to 100%. For high-concentration wastewater with ammonia nitrogen below 98 mg/L and organic nitrogen below 86 mg/L, the maximum removal rate is 59% for ammonia nitrogen and 88% for organic nitrogen. Spectral analysis reveals that magnetic zirconium tannate adsorbs nitrogen compounds in water through both hydrogen bonding and electrostatic interactions, achieving excellent treatment outcomes. It can be efficiently recovered without using complex organic eluents and is easily separated from the flocculate. This technology offers non-disruptive supplement for current treatment approaches to meet the global nitrogen pollution challenge head on.
Fabrication of nanozeolite-Y/chitosan composite based on rice husks for efficient adsorption of methylene blue dye: kinetic and thermodynamic studies
Authors: Braish Amany G. , Hassan Asaad F. , El-Essawy Shimaa A. , El-Tahawy Mohsen M.T. 
Published: September 2024

AbstractIn this work, three solid adsorbents were synthesized, namely, nanozeolite-Y prepared from rice husks ash by a sol-gel method as a green biosource (ZN), chitosan as a cationic biopolymer (CS), and nanozeolite-Y/chitosan composite (CSZ). An eco-friendly composite that consists of chitosan and nanozeolite-Y was used to combine the advantages of nanoparticles with biopolymers two materials to increase the removal % of methylene blue dye. All the synthetized solid adsorbents were investigated using TGA, nitrogen adsorption, SEM, TEM, FTIR, XRD, and zeta potential. The results showed that CSZ particles had a high specific surface area (432.3 m2/g), mesoporosity (with an average pore diameter of 2.59 nm), a smaller TEM particle size (between 28.6 and 60.7 nm), a lot of chemical functional groups, and high thermal stability. CSZ exhibited the maximum adsorption capacity (141.04 mg/g) towards methylene blue. The adsorption nature of methylene blue onto CS and CSZ is endothermic, spontaneous, and a physical adsorption process, while it is exothermic, nonspontaneous, physical adsorption process in the case of ZN, as confirmed by thermodynamic results. Pseudo-second order, Elovich, Dubinin-Radushkevich, Freundlich, Langmuir, Temkin, and adsorption models all fit the MB adsorption well, with correlation coefficients reaching about 0.9997. Nitric acid was found to be the best desorbing agent, with a desorption efficiency of about 99%.
Lessons Learned from a Community-led, Pilot Teletherapy Group for Older Women Living with Depression and HIV
Authors: Breslow Aaron S. , Lopez Michelle , Warren Barbara , Levin Jules , Sharma Anjali , Watnick Dana , Sims Ginette , Cavic Elizabeth , Bassey Obioesio , Fisher Marla R. , Bauman Laurie J. 
Published: September 2024

AbstractOlder women with HIV face challenges to their quality of life, including neurocognitive decline, early-onset menopause, and chronic health issues. Chief among these concerns is depression, the most common psychiatric comorbidity among people living with HIV, with rates twice as high among women as men. However, tailored interventions among older women living with HIV and depression are lacking. Following the ADAPT-ITT framework to adapt existing interventions for cultural relevance among groups of people living with HIV, the study team revised an evidence-based intervention, the ‘Stress Management and Relaxation Training/Expressive Supportive Therapy Women’s Project (SMART/EST),’ for online implementation. Working with two community stakeholders, the study team conducted focus groups, theater testing, and manual adaptation. This resulted in the development of e-SMART/EST, an online teletherapy group co-facilitated by a Licensed Psychologist and a credentialed Peer Counselor. The adapted, eight-session weekly intervention was tested with an exploratory pilot sample of eight older women (55 years and older) with HIV and depression. Participants rated the acceptability, feasibility, and appropriateness of the intervention, as well as symptoms of depression and HIV-related quality of life before and after the group. The e-SMART/EST Women’s Project demonstrated high acceptability, feasibility, and appropriateness. Engagement was high, as women attended an average of 6.8 sessions. In qualitative interviews, participants reported peer co-facilitation, culturally relevant themes (e.g., HIV-related minority stress, critical consciousness, grief, and sex and pleasure), mindfulness techniques, and cohesion with other women as main favorable elements of the intervention. Barriers to online implementation included technological issues, distractions due to remote participation, and hindered emotional attunement compared with in-person group therapy. Findings support further research to test similar interventions in full-scale trials with older women living with depression and HIV.
Handling imbalanced medical datasets: review of a decade of research
Authors: Salmi Mabrouka , Atif Dalia , Oliva Diego , Abraham Ajith , Ventura Sebastian 
Published: September 2024

AbstractMachine learning and medical diagnostic studies often struggle with the issue of class imbalance in medical datasets, complicating accurate disease prediction and undermining diagnostic tools. Despite ongoing research efforts, specific characteristics of medical data frequently remain overlooked. This article comprehensively reviews advances in addressing imbalanced medical datasets over the past decade, offering a novel classification of approaches into preprocessing, learning levels, and combined techniques. We present a detailed evaluation of the medical datasets and metrics used, synthesizing the outcomes of previous research to reflect on the effectiveness of the methodologies despite methodological constraints. Our review identifies key research trends and offers speculative insights and research trajectories to enhance diagnostic performance. Additionally, we establish a consensus on best practices to mitigate persistent methodological issues, assisting the development of generalizable, reliable, and consistent results in medical diagnostics.
A comprehensive review of model compression techniques in machine learning
Authors: Dantas Pierre Vilar , Sabino da Silva Waldir , Cordeiro Lucas Carvalho , Carvalho Celso Barbosa 
Published: September 2024

Abstract
This paper critically examines model compression techniques within the machine learning (ML) domain, emphasizing their role in enhancing model efficiency for deployment in resource-constrained environments, such as mobile devices, edge computing, and Internet of Things (IoT) systems. By systematically exploring compression techniques and lightweight design architectures, it is provided a comprehensive understanding of their operational contexts and effectiveness. The synthesis of these strategies reveals a dynamic interplay between model performance and computational demand, highlighting the balance required for optimal application. As machine learning (ML) models grow increasingly complex and data-intensive, the demand for computational resources and memory has surged accordingly. This escalation presents significant challenges for the deployment of artificial intelligence (AI) systems in real-world applications, particularly where hardware capabilities are limited. Therefore, model compression techniques are not merely advantageous but essential for ensuring that these models can be utilized across various domains, maintaining high performance without prohibitive resource requirements. Furthermore, this review underscores the importance of model compression in sustainable artificial intelligence (AI) development. The introduction of hybrid methods, which combine multiple compression techniques, promises to deliver superior performance and efficiency. Additionally, the development of intelligent frameworks capable of selecting the most appropriate compression strategy based on specific application needs is crucial for advancing the field. The practical examples and engineering applications discussed demonstrate the real-world impact of these techniques. By optimizing the balance between model complexity and computational efficiency, model compression ensures that the advancements in AI technology remain sustainable and widely applicable. This comprehensive review thus contributes to the academic discourse and guides innovative solutions for efficient and responsible machine learning practices, paving the way for future advancements in the field.

Graphical abstract
When Vulnerable Narcissists Take the Lead: The Role of Internal Attribution of Failure and Shame for Abusive Supervision
Authors: Braun Susanne , Schyns Birgit , Zheng Yuyan , Lord Robert G. 
Published: September 2024

AbstractResearch to date provides only limited insights into the processes of abusive supervision, a form of unethical leadership. Leaders’ vulnerable narcissism is important to consider, as, according to the trifurcated model of narcissism, it combines entitlement with antagonism, which likely triggers cognitive and affective processes that link leaders’ vulnerable narcissism and abusive supervision. Building on conceptualizations of aggression as a self-regulatory strategy, we investigated the role of internal attribution of failure and shame in the relationship between leaders’ vulnerable narcissism and abusive supervision. We found across three empirical studies with supervisory samples from Germany and the United Kingdom (UK) that vulnerable narcissism related positively to abusive supervision (intentions), and supplementary analyses illustrated that leaders’ vulnerable (rather than grandiose) narcissism was the main driver. Study 1 (N = 320) provided correlational evidence of the vulnerable narcissism-abusive supervision relationship and for the mediating role of the general proneness to make internal attributions of failure (i.e., attribution style). Two experimental studies (N = 326 and N = 292) with a manipulation-of-mediator design and an event recall task supported the causality and momentary triggers of the internal attribution of failure. Only Study 2 pointed to shame as a serial mediator, and we address possible reasons for the differences between studies. We discuss implications for future studies of leaders’ vulnerable narcissism as well as ethical organizational practices.
Exploring the synergistic effect of anionic and cationic fibrillated cellulose as sustainable additives in papermaking
Authors: Signori-Iamin Giovana , Aguado Roberto J. , Tarrés Quim , Santos Alexandre F. , Delgado-Aguilar Marc 
Published: September 2024

AbstractWhile cationic cellulose has yet to find a place in the paper industry, manufacturers show certain interest in a more recent material: cellulose nanofibers (CNFs), generally with negative surface charge. This work suggests both to be combined to increase the mechanical properties of recycled paper while preventing the use of synthetic polyelectrolytes as retention agents. On one hand, a bleached pulp was cationized by etherification, both as-is and following mechanical refining (15,000 PFI revolutions) and submitted to high-pressure homogenization, generating two different kinds of cationic CNFs. On the other, the same pulp was submitted to an enzymatic pretreatment and high-pressure homogenization, producing a negatively charged cellulose micro/nanofiber (CMNF). Two different cellulose-based systems consisting of each type of cationic CNF and the enzymatic CMNF were applied in the papermaking of both virgin and recycled paper. This study demonstrates the effective use of the cationic CNFs as retention agents during sheet formation, which together with the enzymatic CMNFs significantly enhanced the mechanical properties of both types of paper. The study found that refining before cationization favored the retention effect, primarily due to increased surface area and charge of the cationic CNFs, where remarkable increases in the breaking length of virgin (125.1%) and recycled paper (46.5%) were reached. The synergy between cationic CNFs and enzymatic CMNFs outperformed the use of commercial polyacrylamide, a non-biodegradable polyelectrolyte. This research highlights the potential of tailored CNFs in producing high-performance papers, while promoting sustainability and offering a plausible strategy to increase paper recycling rates.