bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biomarkers in breast cancer 2024: an updated consensus statement by the Spanish Society of Medical Oncology and the Spanish Society of Pathology
Authors: Colomer Ramon , González-Farré Blanca , Ballesteros Ana Isabel , Peg Vicente , Bermejo Begoña , Pérez-Mies Belén , de la Cruz Susana , Rojo Federico , Pernas Sonia , Palacios José 
Published: June 2024

AbstractThis revised consensus statement of the Spanish Society of Medical Oncology (SEOM) and the Spanish Society of Pathological Anatomy (SEAP) updates the recommendations for biomarkers use in the diagnosis and treatment of breast cancer that we first published in 2018. The expert group recommends determining in early breast cancer the estrogen receptor (ER), progesterone receptor (PR), Ki-67, and Human Epidermal growth factor Receptor 2 (HER2), as well as BReast CAncer (BRCA) genes in high-risk HER2-negative breast cancer, to assist prognosis and help in indicating the therapeutic options, including hormone therapy, chemotherapy, anti-HER2 therapy, and other targeted therapies. One of the four available genetic prognostic platforms (Oncotype DX®, MammaPrint®, Prosigna®, or EndoPredict®) may be used in ER-positive patients with early breast cancer to establish a prognostic category and help decide with the patient whether adjuvant treatment may be limited to hormonal therapy. In second-line advanced breast cancer, in addition, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) and estrogen receptor 1 (ESR1) should be tested in hormone-sensitive cases, BRCA gene mutations in HER2-negative cancers, and in triple-negative breast cancer (TNBC), programmed cell death-1 ligand (PD-L1). Newer biomarkers and technologies, including tumor-infiltrating lymphocytes (TILs), homologous recombination deficiency (HRD) testing, serine/threonine kinase (AKT) pathway activation, and next-generation sequencing (NGS), are at this point investigational.
Impact of immediate breast reconstruction on perioperative therapy: insights from a Japanese Nationwide Registry
Authors: Sasada Shinsuke , Kumamaru Hiraku , Hayashi Naoki , Kinukawa Naoko , Toi Masakazu , Jinno Hiromitsu , Saji Shigehira 
Published: June 2024

Abstract
Background
Immediate breast reconstruction (IBR) is a common oncoplastic procedure used in breast cancer surgery. This study aims to investigate compliance with prosthetic breast reconstruction guidelines and its impact on perioperative treatment.

Methods
We reviewed data from the National Clinical Database-Breast Cancer Registry between January 2019 and December 2020. We compared perioperative treatment implementation between the IBR and non-IBR groups by subtype matching for age, menopausal status, T stage, N stage, and histology.

Results
A total of 8,860 patients with breast cancer who underwent IBR (6,075 breast prostheses, 2,492 autologous tissues, and 293 others) were identified. The compliance rate with the guidelines for prosthetic breast reconstruction was 97.7%. After matching, chemotherapy for luminal A-like diseases was significantly less frequent in the IBR group than in the non-IBR group (16.3% vs 20.5%, p < 0.001), and radiotherapy was less frequent in luminal A-like and HER2-positive patients (7.2% vs 9.0%, p = 0.010 and 7.1% vs 11.4%, p = 0.005, respectively). Among the 1–3 node-positive cases, fewer patients with prosthetic IBR received radiotherapy than those without IBR (15.7% vs 26.4%, p < 0.001).

Conclusion
Prosthetic breast reconstruction was performed with strict adherence to the Japanese guidelines. The implementation rates of chemotherapy and radiotherapy were lower in the specific IBR group than those in the non-IBR group. Therefore, large-scale, long-term follow-up data are required.
Descaling of Evaporator Tubes in Sugarcane Factories Using Molasses as a Green and Effective Technology
Authors: El‑Nahas Safaa , Khodari Mahmoud , Hamam Ali A. , Gad El Rab Ahmed N. , Toghan Arafat 
Published: June 2024

AbstractDeposition inside sugarcane factory evaporators (SFE) significantly lowers the heat transmission and can cause corrosion. This consequently reduces their efficiency, which is clearly a severe issue in the industrial sector. Up to the present time, caustic soda remains the most widely used reagent for descaling sugar industry evaporators. Understanding the scale's composition assists in determining which kinds of cleaners can effectively clean the evaporators. Scales are built in sugar evaporators as a result of the phosphitation or sulfitation processes used to chemically clean juice. In this perspective, molasses is used to descale SFE as a green manner. Molasses includes significant amounts of organic acids and nitrogenous chemical compounds, as shown by GC-mass analysis, and can be utilized as cleaning agents. XRD patterns for four scales from different sugar evaporators indicated that calcium sulfate and calcium phosphate were the predominant components at Egypt's Quos Sugarcane Factory and Dishina Sugarcane Factory, respectively. Actually, dispersed molasses demonstrated an acceptable removal effectiveness of up to 65% in all tested evaporative bodies. Furthermore, molasses solutions were tested in both basic and acidic settings and did not promote corrosion through the body's evaporative tubes. The oxidation of the molasses mixture with air or hydrogen peroxide showed that the efficacy of scale removal decreased. The findings suggested that molasses, as byproduct of sugarcane factories can be successfully employed in descaling as a green cleaning agent. This could be helpful in the development of descaling materials for the industrial sector.
Probiotic-Reduced Inflammaging in Older Adults: A Randomized, Double-Blind, Placebo-Controlled Trial
Authors: Lazou-Ahrén Irini , Björklund Malin , Molin Göran , Xu Jie , Önning Gunilla , Elmståhl Sölve , Jeppsson Bengt 
Published: June 2024

AbstractThe disparity between increased lifespan and healthy aging, marked by prevalent “inflammaging”, highlights the global challenge in care of older persons. This study explored the anti-inflammatory effects of Lactiplantibacillus plantarum HEAL9 (LpHEAL9), alone or combined with berries, on older volunteers with chronic low-grade inflammation (LGI). It was a randomized, double-blind, placebo-controlled trial, with a total of 66 volunteers (> 70 years old), randomly assigned, and equally distributed, to placebo, LpHEAL9 or LpHEAL9 + Berries group. After a 2-week run-in period, participants underwent a 4-week dietary intervention. Intake of LpHEAL9 showed a trend towards reduction in serum CRP but without reaching statistical significance. However, LpHEAL9 significantly decreased fecal calprotectin levels compared to placebo. LpHEAL9+Berries did not show any effect on inflammation. Both probiotic groups showed a trend in improving cognitive function albeit not reaching statistical significance. Our findings suggest that the probiotic strain L. plantarum HEAL9 has a modest impact on LGI in a healthy older population (ClinicalTrials.gov ID: NCT02342496).
Towards a Registry for Digital Resources – The Text+ Registry for Editions
Authors: Gradl Tobias , Kudella Christoph , Lordick Harald , Schulz Daniela 
Published: June 2024

AbstractThe paper presents the Text+ Registry as a central system to describe and catalogue different kinds of resources. Using the example of editions and edition projects, desiderata and challenges regarding their discoverability are outlined, and the data model to cater for the wide range of different types of editions is described. With its overarching and flexible approach, the Text+ Registry is a versatile and flexible technical component, designed for future expansion and broad connectivity.
Enablers and constraints to teacher educator wellbeing amidst institutional accountability cultures: a PERMA perspective
Authors: Larsen Ellen , Barton Georgina , Turner Kristina , Garvis Susie 
Published: June 2024

Abstract
The work of contemporary teacher educators in university contexts is under increasing political and public scrutiny as the focus on Initial Teacher Education (ITE) reform intensifies. Consequently, there are growing concerns for teacher educators’ wellbeing amidst escalating expectations and pressures. While research has explored the wellbeing of university academics more generally, less is understood about teacher educators more specifically. This paper aims to deepen understanding of the perceived enablers and constraints influencing how teacher educators experience wellbeing within their everyday work as academics in higher education contexts. Using metalogue as method, nine teacher educators from two Australian universities collectively reflected on their wellbeing during an online focus group session guided by an arts-based activity. Framed by the key constructs of the PERMA wellbeing framework, the ensuing metalogue was analysed thematically. Findings highlighted the particular importance they place on feeling a sense of value, purpose, and meaning in their work as educators for their wellbeing. Findings further showed how the impact of current external reform-driven accountabilities on their work and that of educators in the profession more broadly constrain their wellbeing. These findings have implications for institutional leaders and teacher educators in Australia and internationally where academics are experiencing performative cultures.
Hyper β-glucosidase producer Beauveria bassiana SAN01—optimization of fermentation conditions and evaluation of saccharification potential
Authors: Magwaza Buka , Amobonye Ayodeji , Bhagwat Prashant , Pillai Santhosh 
Published: June 2024

AbstractThe hyper-production of β-glucosidase by a local strain of Beauveria bassiana under submerged conditions is reported in this study. The initial screening of seven agricultural residues showed that the haulm of Bambara—an underutilized African legume—supported the highest β-glucosidase production; hence, statistical optimization of enzyme production was done using this biomass as the sole carbon source. Plackett–Burman design identified the concentrations of Bambara haulm, KCl, and NaCl as well as agitation speed and incubation time as the most significant factors affecting enzyme production. Subsequently, the central composite design predicted the optimal conditions (Bambara 57 g/L, KCl 302 mg/L, NaCl 154 mg/L, agitation speed 150 rpm, and incubation 223 h) for B. bassiana β-glucosidase production, which were further validated. The generated quadratic model was deemed significant judging from its F-value (201.63), adequate precision ratio (45.74), as well as the R2 (0.9988), adjusted R2 (0.9938), and predicted R2 (0.9195) values. The optimization resulted in a ~5.36-fold increase in enzyme levels from the unoptimized production of ~133 to 711 U/mL. The enzyme was also demonstrated to efficiently hydrolyze cellobiose, converting more than 90% of the substrate to glucose. These results further establish the resourcefulness of the B. bassiana strain for the production of β-glucosidase enzyme, having immense potential, especially in the food and energy industries.
The Use of ChatGPT in Source-Based Writing Tasks
Authors: Tarchi Christian , Zappoli Alessandra , Casado Ledesma Lidia , Brante Eva Wennås 
Published: June 2024

AbstractChatGPT, a chatbot based on a Generative Pre-trained Transformer model, can be used as a teaching tool in the educational setting, providing text in an interactive way. However, concerns point out risks and disadvantages, as possible incorrect or irrelevant answers, privacy concerns, and copyright issues. This study aims to categorize the strategies used by undergraduate students completing a source-based writing task (SBW, i.e., written production based on texts previously read) with the help of ChatGPT and their relation to the quality and content of students’ written products. ChatGPT can be educationally useful in SBW tasks, which require the synthesis of information from a text in response to a prompt. SBW requires mastering writing conventions and an accurate understanding of source material. We collected 27 non-expert users of ChatGPT and writers (Mage = 20.37; SD = 2.17). We administered a sociodemographic questionnaire, an academic writing motivation scale, and a measure of perceived prior knowledge. Participants were given a source-based writing task with access to ChatGPT as external aid. They performed a retrospective think-aloud interview on ChatGPT use. Data showed limited use of ChatGPT due to limited expertise and ethical concerns. The level of integration of conflicting information showed to not be associated with the interaction with ChatGPT. However, the use of ChatGPT showed a negative association with the amount of literal source-text information that students include in their written product.
The release and migration mechanism of arsenic during pyrolysis process of Chinese coals
Authors: Sun Meijie , Zhou Lingmei , Zhong Jiali , Zhao Yingjie , Zheng Hao , Qu Beibei , Ma Maolin 
Published: June 2024

AbstractSpecial attention was drawn to the heavy metals contained in coal, due to it will cause harm to the environment during coal processing and utilization. The sequential chemical extraction of Shanxi coal (SX coal) and Wulanchabu coal (WLCB coal) was carried out to investigate the distribution of arsenic (As) in coals. Two raw coals were pyrolyzed at 300–900 °C in horizontal tubular furnace to investigate release behavior of As during pyrolysis process. The results showed that As in SX coal mainly existed in aluminosilicate-bound state (40.25%) and disulfide-bound state (32.51%), followed by carbonate-bound state and organic-bound state. The As in WLCB coal mainly existed in aluminosilicate-bound state (62.50%), followed by disulfide-bound state (19.10%). The As contents of water-soluble, ion-exchange and residue states in the two coals were less than others. The modes of occurrence of As had great influence on its volatilization behavior. As in organic part was easy to volatilize at low temperature. Sulfide-bound state would escape with the decomposition of pyrite. Because SX coal contained higher organic state and sulfide-bound state, the volatilization rate of As was higher than WLCB coal at any temperature, and the difference was more obvious at low temperature. In addition, FactSage simulation value was basically consistent with the experimental value.
Pre-enlargement Reform Failures in the Western Balkans: Social and Economic Preconditions of the Rule of Law
Authors: Hogic Nedim 
Published: June 2024

AbstractIn this paper, I investigate the attempts of the European Union to promote and entrench the rule of law standards in the Western Balkans countries. I examine the failures of legal reforms in key policy areas, such as the regulations of judicial independence, the legislative branch of government, vetting and suppression of corruption, that prevent progress in achieving the rule of law standards. I demonstrate how a narrow focus on the judiciary and its performance has harmed the standards. I propose a more specific focus on socio–economic reforms that, at first glance, appear less relevant to the rule of law. These are: higher education reforms, digitalization, decarbonization, and better targeting of anti-corruption measures. More focus on these areas allows a refocusing from a narrow conception of rule of law to other good governance reforms.
Field change for the Cassels–Tate pairing and applications to class groups
Authors: Morgan Adam , Smith Alexander 
Published: June 2024

AbstractIn previous work, the authors defined a category $$\text {SMod}_F$$

SMod
F

of finite Galois modules decorated with local conditions for each global field F. In this paper, given an extension K/F of global fields, we define a restriction of scalars functor from $$\text {SMod}_K$$

SMod
K

to $$\text {SMod}_F$$

SMod
F

and show that it behaves well with respect to the Cassels–Tate pairing. We apply this work to study the class groups of global fields in the context of the Cohen–Lenstra heuristics.
Application of Fuzzy Decision Support Systems in Risk Assessment of Southeast Asian Labor Market
Authors: Zhang Zujie 
Published: June 2024

AbstractThe labor market in Southeast Asia has several complicated issues, including the quick changes in the economy, the various behaviors of employees, and the shifting regulatory settings. To foster sustainable regional development and make decisions based on accurate information, a comprehensive risk assessment is important. Conventional methodologies, on the other hand, often fail to reflect the multifaceted personality of issues about the labor market. In light of recent economic changes and the complexity of applicable policies, this paper recommends a fuzzy decision support system to enhance risk assessment (FDSS-ERA) that could enhance risk assessment in Southeast Asian labor markets. The model methodically assesses hazards, using a mixture of fuzzy logic sense and decision assistance, incorporating changes in employment trends and demographics. The results highlight fuzzy logic’s role in decision-making for effective risk management and policy interventions, showing improved risk comprehension. While educated policy choice making can lead to equitable development in Southeast Asia’s labor work marketplace, FDSS is a potential method. In conclusion, to overcome the many obstacles that stand in the way of chance assessment in the labor market in Southeast Asia, FDSS provides a powerful strategy. Because it offers more advanced analytical tools, this research assists decision-makers in the region in developing more effective guidelines, proactively reducing risks, and achieving projects that promote sustainable development.
Ocean Surface Warming and Cooling Responses and Feedback Processes Associated With Polar Lows Over the Nordic Seas
Authors: Tomita H. , Tanaka R. 
Published: June 2024

AbstractStrong surface winds induced by polar lows (PLs) may affect the upper ocean. However, understanding of the oceanic responses and feedback processes associated with PLs remains insufficient, especially for observations. Using a combined analysis of satellite‐based sea surface temperature (SST) and PL tracking data, we investigated the oceanic response to 380 PL passages over the Nordic Sea occurring between 1999 and 2018. Consequently, two types of oceanic responses—warming and cooling—occurred in 32% and 40% of the total occurrences, respectively. The average magnitude of SST response was approximately ±0.2 K. Significant differences in upward surface turbulent heat flux (THF) between warming and cooling response cases were found, causing a significant difference in the decay rate after maximum PL development. By analyzing changes in the state variables of the THF, we identified two different feedback processes depending on the oceanic warming/cooling response. During a warming (cooling) response, the atmosphere near the surface becomes more unstable (stable), and the turbulence of the marine atmospheric boundary layer increases (decreases), which strengthens (weakens) the ocean surface wind and decreases (increases) temperature and specific humidity. These changes contribute to increasing (decreasing) the upward THF that influences PL development. The differences between these two responses may be caused by the state of the upper ocean layer, including temperature inversion. The analysis of the in situ observations of the upper ocean supports the hypothesis that a warming response occurs when inversion is strong. This study emphasizes the importance of feedback through oceanic responses for understanding and predicting PL.
Longitudinal relations of prematurity and fetal growth restrictions with hyperactivity/inattention and aggression/delinquency
Authors: Zumbach-Basu Jelena , Rademacher Annika , Koglin Ute , Bender Doris , Lösel Friedrich 
Published: June 2024

Abstract

Background
It is the aim of this study to analyze the longitudinal relationship between premature birth and low birth weight and the reciprocal influence between hyperactive/inattentive behavior and aggressive/delinquent behavior problems in children from early to late childhood.

Methods
This study contains data from the German Erlangen-Nuremberg Development and Prevention Study. It applies prospective longitudinal path analyses on data obtained from postnatal pediatric assessments as well as later psychosocial behavior assessments by teachers and parents on N = 667 children, out of which n = 83 children (12.44%) were born preterm/small for gestational age.

Results
The results show direct effects of birth complications at the beginning of preschool on hyperactivity/inattentiveness (teacher rating: ß = 0.28; p = 0.017; parent rating: ß = 0.32; p = 0.005), but not on aggression/delinquency (teacher rating: ß = 0.002; p = 0.427; parent rating: ß = 0.12; p = 0.324). Reciprocal effects between aggression/delinquency and hyperactivity/inattentiveness were stable at the end of elementary school, but not at the end of preschool across informants.

Conclusion
Our results support a differentiated view on the potential development of behavior problems after birth complications and the demand for early prevention measures.

Impact Statement

Our results extend to the existing body of research by providing insight into the longitudinal effects of prematurity and fetal growth restrictions on hyperactive and aggressive/delinquent behavioral problems throughout a rather long period of development in childhood.

The results show direct effects of birth complications on the development of hyperactivity for boys, but not for girls across informants. No direct effects of birth complications on aggression/delinquency are found.

Our findings speak against too simple views on behavioral consequences of birth complications and thus can relieve too anxious parents, however close monitoring of the behavioral development of respective children is indicated.
Chronic post-COVID neuropsychiatric symptoms persisting beyond one year from infection: a case-control study and network analysis
Authors: Chau Steven Wai Ho , Chue Timothy Mitchell , Chan Rachel Ngan Yin , Lai Yee Lok , Wong Paul W. C. , Li Shirley Xin , Liu Yaping , Chan Joey Wing Yan , Chan Paul Kay-sheung , Lai Christopher K. C. , Leung Thomas W. H. , Wing Yun Kwok 
Published: June 2024

AbstractOur study aims to delineate the phenotypes of chronic neuropsychiatric symptoms among adult subjects recovering from their first COVID that occurred more than one year ago. We also aim to explore the clinical and socioeconomic risk factors of having a high loading of chronic neuropsychiatric symptoms. We recruited a post-COVID group who suffered from their first pre-Omicron COVID more than a year ago, and a control group who had never had COVID. The subjects completed app-based questionnaires on demographic, socioeconomic and health status, a COVID symptoms checklist, mental and sleep health measures, and neurocognitive tests. The post-COVID group has a statistically significantly higher level of fatigue compared to the control group (p < 0.001). Among the post-COVID group, the lack of any COVID vaccination before the first COVID and a higher level of material deprivation before the COVID pandemic predicts a higher load of chronic post-COVID neuropsychiatric symptoms. Partial correlation network analysis suggests that the chronic post-COVID neuropsychiatric symptoms can be clustered into two major (cognitive complaints -fatigue and anxiety-depression) and one minor (headache-dizziness) cluster. A higher level of material deprivation predicts a higher number of symptoms in both major clusters, but the lack of any COVID vaccination before the first COVID only predicts a higher number of symptoms in the cognitive complaints-fatigue cluster. Our result suggests heterogeneity among chronic post-COVID neuropsychiatric symptoms, which are associated with the complex interplay of biological and socioeconomic factors.