bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of antioxidant response and nonphotochemical quenching of chlorophyll fluorescence in long-term adaptation to Cu-induced stress in Chlamydomonas reinhardtii
Authors: Pluciński Bartosz , Nowicka Beatrycze , Waloszek Andrzej , Rutkowska Joanna , Strzałka Kazimierz 
Published: April 2023

AbstractCopper is an essential micronutrient, but at supraoptimal concentrations it is also highly toxic, inducing oxidative stress and disrupting photosynthesis. The aim of the present study was to analyze selected protective mechanisms in strains ofChlamydomonas reinhardtiiadapted and not adapted for growth in the presence of elevated copper concentrations. Two algal lines (tolerant and non-tolerant to high Cu2+concentrations) were used in experiments to study photosynthetic pigment content, peroxidase activity, and non-photochemical quenching. The content of prenyllipids was studied in four different algal lines (two of the same as above and two new ones). The copper-adapted strains contained about 2.6 times more α-tocopherol and plastoquinol and about 1.7 times more total plastoquinone than non-tolerant strains. Exposure to excess copper led to oxidation of the plastoquinone pool in non-tolerant strains, whereas this effect was less pronounced or did not occur in copper-tolerant strains. Peroxidase activity was approximately 1.75 times higher in the tolerant strain than in the non-tolerant one. The increase in peroxidase activity in the tolerant strain was less pronounced when the algae were grown in dim light. In the tolerant line nonphotochemical quenching was induced faster and was usually about 20–30% more efficient than in the non-tolerant line. The improvement of antioxidant defense and photoprotection may be important factors in the evolutionary processes leading to tolerance to heavy metals.
Management of Functional Pancreatic Neuroendocrine Neoplasms
Authors: Magi Ludovica , Marasco Matteo , Rinzivillo Maria , Faggiano Antongiulio , Panzuto Francesco 
Published: April 2023

Opinion statementFunctional pancreatic neuroendocrine neoplasms (pNENs) are rare and heterogeneous diseases in terms of both clinical and pathological aspects. These tumors secrete hormones or peptides, which may cause a wide variety of symptoms related to a clinical syndrome. The management of functional pNENs is still challenging for clinicians due to the need to control both tumor growth and specific symptoms. Surgery remains the cornerstone in the management of local disease because it can definitively cure the patient. However, when the disease is not resectable, a broad spectrum of therapeutic options, including locoregional therapy, somatostatin analogs (SSAs), targeted therapies, peptide-receptor radionuclide therapy (PRRT), and chemotherapy, are available. The present review summarizes the main key issues regarding the clinical management of these tumors, providing a specific highlight on their therapeutic approach.
Attachment-based retrospective classifications of parental caregiving in childhood related to psychological well-being and mental health in young adults
Authors: Neumann Eva , Rohmann Elke 
Published: April 2023

AbstractAdverse interpersonal experiences in childhood have been shown to be associated with low psychological well-being and poor mental health in adulthood. In this study, the Parental Caregiving Style Questionnaire (PCS-Q) was used for the retrospective classification of parental caregiving, a measure distinguishing between warm/responsive, ambivalent/inconsistent and cold/rejecting parenting, analogous to the three-category model of attachment. Furthermore, self-esteem, satisfaction with the romantic relationship and life, depression and anxiety were measured with self-report scales. 197 students took part in this study, of whom 74 answered the PCS-Q a second time two months later. Most participants classified the parental caregiving style as warm/responsive, especially with regard to the mother. The PCS-Q showed a high test-retest reliability. Warm/responsive parenting was associated with higher self-esteem and life satisfaction and with lower depression and anxiety than the other two parenting styles. Satisfaction with the romantic relationship, however, did not differ substantially between the three groups. The findings largely support the assumption that early attachment experiences have an impact on later well-being and mental health. The German version of the PCS-Q presented here can be used in research and clinical practice as an economic measure with direct reference to the model of attachment styles.
Assessment of anticancer, antibacterial, antifungal, and antioxidant activities of Micractinium reisseri (Chlorophyta, Trebouxiophyceae) methanolic extract
Authors: Makhlof Mofida E. M. , Ghareeb Doaa A. , El-Kenany Eman T. 
Published: April 2023

AbstractThis study looked at the anticancer, antimicrobial, and antioxidant properties of a methanolic extract of Micractinium reisseri. In vitro antitumor activity of M. reisseri methanolic extract revealed an inhibitory effect against MCF-7 and HCT-116 (breast carcinoma and colon carcinoma) cell lines. Antimicrobial activity of M. reisseri methanolic extract was estimated against Gram-negative bacteria (Pseudomonas aeruginosa RCMB 010,049 and Escherichia coli RCMB 010,052), Gram-positive bacteria (Streptococcus pneumonia RCMB 010,010 and Bacillus subtilis RCMB 010,067) and fungi (Aspergillus fumigatus RCMB 02,568 and Candida albicans RCMB 05,036). The extract showed promising results against all the tested microbes except C. albicans which gave negative results. The algal extract showed 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing and hydroxyl radical scavenging activity in a concentration-dependent manner with maximum scavenging activity at concentrations (0.001, 0.001, and 5 mg/ml) for each assay, respectively. High-performance liquid chromatography (HPLC) revealed that the active compounds are phenols, alkaloids, and flavonoids. In conclusion, M. reisseri methanolic extract exhibited effective anticancer, antimicrobial, and antioxidant activities.
Changes in Vessel Traffic Disrupt Tidal Flats and Saltmarshes in the Tagus Estuary, Portugal
Authors: Martins Diana , Alves da Silva Andreia , Duarte João , Canário João , Vieira Gonçalo 
Published: April 2023

Abstract
The Tagus Estuary is one of the largest in Europe with 320 km2, and it has been, for centuries, a gateway to Lisbon. This study focuses on the Moita-Montijo Bay and on the recent dynamics of its tidal flats and saltmarshes. Aerial photographs, orthomosaics, and very high-resolution satellite imagery were used to analyze landcover and shoreline changes. Tidal flats have shown expansion from 1977 to 1995, but since then, contraction dominated, with a change of position of the tidal flat edge of −2.8 m/year in the north bank and −4.2 m/year in the south bank of the Montijo channel. Most contraction occurred along the route of the fast transport catamarans that started operating in 1995, while in the sector without catamaran navigation, expansion was observed. Saltmarshes have been suffering contraction since 1958, with increased rates after 1995 (−0.38 to −0.44 m/year), especially along the catamaran route (−0.57 to −1.27 m/year). The analysis of the wake generated by different vessel types shows a wake increase with the catamarans, in agreement with the increase in contraction along the Montijo channel. Inside abandoned salt pans, saltmarshes expanded. Since 1995, major changes are also observed along the tidal flat margin, with the formation of coarse lag deposits of coarse sands and shells. Given the contraction increase associated with catamaran traffic and the resulting degradation of the tidal flat and the saltmarshes, it is important to introduce measures for containing contraction.
How the long-term follow-up is organized in young adult survivors of childhood cancer
Authors: Bardi Edit , Kager Leo , Holter Wolfgang 
Published: April 2023

SummaryThe survival after childhood cancer has improved substantially, therefore the population of childhood cancer survivors is increasing. This growing population of childhood cancer survivors, however, is at risk of a spectrum of adverse health outcomes. Unfortunately, until now, there was a lack of comprehensive follow-up recommendations.The purpuse of this article is to provide information on recently developed harmonized evidence-based guidelines and the structure to provide complex long term follow up for childhood cancer survivors. We pointed out the need for a multidisciplinary pediatric and adult specialist team, who together develop multidisciplinary long-term follow-up clinics.
Investigating learning processes through analysis of navigation behavior using log files
Authors: Huber Kerstin , Bannert Maria 
Published: April 2023

AbstractThe empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining can predict learning outcomes. This work aims to provide support for learners and instructors regarding efficient learning with computer-based learning environments (CBLEs). We evaluated log file and questionnaire data from students (N = 58) who used a CBLE for two weeks. Results show a significant learning increase after studying with the CBLE with a very high effect size (p < .001, g = 1.71). A cluster analysis revealed two groups with significantly different learning outcomes accompanied by different navigation patterns. The time spent on learning-relevant pages and the interactivity with a CBLE are meaningful indicators for Recall and Transfer performance. Our results show that navigation behaviors indicate both beneficial and detrimental learning processes. Moreover, we could demonstrate that navigation behaviors impact the learning outcome. We present an easy-to-use approach for learners as well as instructors to promote successful learning by tracking the duration spent in a CBLE and the interactivity.
AI-enabled price discrimination as an abuse of dominance: a law and economics analysis
Authors: Li Qian , Philipsen Niels , Cauffman Caroline 
Published: April 2023

AbstractIn digital markets, concentrated Big Data and analytical algorithms enable undertakings to predict each consumer’s willingness to pay with increasing accuracy and offer consumers personalized recommendations and tailored prices accordingly. In this context, concerns have arisen about whether and when AI-enabled price discrimination amounts to an abuse of dominance under competition law and would require a legal response. To address these concerns, this paper will analyze AI-enabled price discrimination from a comparative law and economics perspective. In economics, price discrimination is not always undesirable as it can increase static efficiency, and, on some occasions, it can promote dynamic efficiency and boost consumer welfare. Nevertheless, it may also lead to exclusionary and exploitative effects, especially once Tech Giants abuse their dominant positions in relevant markets. Since the protection of free competition and consumer welfare are objectives of competition law in China and the EU, competition law seems a proper instrument to step into digital markets to address these concerns. Indeed, the EU and China have established mixed regimes of competition law and other rules to tackle unfair and/or anti-competitive AI-enabled price discrimination. As such, AI-enabled price discrimination does not always require a competition law response and it requires competition authorities to make a trade-off between different considerations.
Firms’ Supply Chain Integration, R&D Collaboration, and Impact on Competitiveness: Evidence from Czechia
Authors: Květoň Viktor , Horák Petr 
Published: April 2023

AbstractThis paper aims to reveal associations between firm strategies for vertical supply chain integration and strategy for horizontal R&D collaboration through the analysis of four Czech regions. Drawing on evolutionary economic geography and global production networks literature, we applied a combinatorial and dynamic view on firms’ supply chain integration, R&D collaboration, and impact on competitiveness. Conceptually, we argue that companies not only produce and sell goods at different levels (global, national, regional), but are located in differently developed regions and innovation systems with different institutional qualities. Therefore, various modes of engagement within vertical supply chains and at the same time different R&D collaboration strategies influence competitiveness of firms. Empirically, we revealed that the vertical integration strategy drives levels of regional R&D collaboration for a firm. It turns out that globally more connected and technologically sophisticated firms are not highly interconnected by R&D collaboration within regional/national innovation systems. Moreover, technologically capable firms with little or no R&D collaboration may be highly profitable on average, but they are vulnerable in the long run. Furthermore, an intensive involvement in R&D collaboration had the highest resistance towards economic shocks. We also found statistically significant positive relationship with medium R&D collaboration and productivity of firms.
Placing diverse knowledge systems at the core of transformative climate research
Authors: Orlove Ben , Sherpa Pasang , Dawson Neil , Adelekan Ibidun , Alangui Wilfredo , Carmona Rosario , Coen Deborah , Nelson Melissa K. , Reyes-García Victoria , Rubis Jennifer , Sanago Gideon , Wilson Andrew 
Published: April 2023

AbstractWe argue that solutions-based research must avoid treating climate change as a merely technical problem, recognizing instead that it is symptomatic of the history of European and North American colonialism. It must therefore be addressed by decolonizing the research process and transforming relations between scientific expertise and the knowledge systems of Indigenous Peoples and of local communities. Partnership across diverse knowledge systems can be a path to transformative change only if those systems are respected in their entirety, as indivisible cultural wholes of knowledge, practices, values, and worldviews. This argument grounds our specific recommendations for governance at the local, national, and international scales. As concrete mechanisms to guide collaboration across knowledge systems, we propose a set of instruments based on the principles of consent, intellectual and cultural autonomy, and justice. We recommend these instruments as tools to ensure that collaborations across knowledge systems embody just partnerships in support of a decolonial transformation of relations between human communities and between humanity and the more-than-human world.
Computing branches and asymptotes of meromorphic functions
Authors: Fernández de Sevilla M. , Magdalena-Benedicto R. , Pérez-Díaz S. 
Published: April 2023

AbstractIn this paper, we first summarize the existing algorithms for computing all the generalized asymptotes of a plane algebraic curve implicitly or parametrically defined. From these previous results, we derive a method that allows to easily compute the whole branch and all the generalized asymptotes of a “special” curve defined in n-dimensional space by a parametrization that is not necessarily rational. So, some new concepts and methods are established for this type of curves. The approach is based on the notion of perfect curves introduced from the concepts and results presented in previous papers.
Metabolic profile in women with bulimia nervosa or binge-eating disorder before and after treatment: secondary analysis from the randomized PED-t trial
Authors: Mathisen Therese Fostervold , Sundgot-Borgen Jorunn , Rosenvinge Jan H. , Bratland-Sanda Solfrid , Svendsen Mette , Pettersen Gunn , Vrabel KariAnne , Friborg Oddgeir 
Published: April 2023

Abstract
Purpose
Chaotic eating and purging behavior pose a risk to the metabolic health of women with bulimia nervosa (BN) and binge-eating disorder (BED). This study reports on one-year changes in blood markers of metabolic health and thyroid hormones in women with BN or BED attending two different treatments.

Methods
These are secondary analyses from a randomized controlled trial of 16-week group treatment of either physical exercise and dietary therapy (PED-t) or cognitive behavior therapy (CBT). Blood samples collected at pre-treatment, week eight, post-treatment, and at 6- and 12-month follow-ups were analyzed for glucose, lipids (triglycerides (TG), total cholesterol (TC), LDL cholesterol (LDL-c), HDL cholesterol (HDL-c), apolipoprotein A (ApoA) and apolipoprotein B (ApoB) lipoproteins), and thyroid hormones (thyroxine (T4), thyroid stimulating hormone (TSH), and thyroperoxidase antibodies).

Result
The average levels of blood glucose, lipids and thyroid hormones were within the recommended range, but clinical levels of TC and LDL-c were detected in 32.5% and 39.1%, respectively. More women with BED compared with BN had low HDL-c, and a larger increase over time in TC and TSH. No significant differences occurred between PED-t and CBT at any measurement. Exploratory moderator analyses indicated a more unfavorable metabolic response at follow-up among treatment non-responders.

Conclusion
The proportion of women with impaired lipid profiles and unfavorable lipid changes, suggests active monitoring with necessary management of the metabolic health of women with BN or BED, as recommended by metabolic health guidelines.
Level of evidence: Level I: Evidence obtained from a randomized, experimental trial.
Trial registration number: This trial was prospectively registered in the Norwegian Regional Committee for Medical and Health Research Ethics on December 16, 2013, with the identifier number 2013/1871, and in Clinical Trials on February 17, 2014, with the identifier number NCT02079935.
The Effect of Automated Error Message Feedback on Undergraduate Physics Students Learning Python: Reducing Anxiety and Building Confidence
Authors: Charles Tessa , Gwilliam Carl 
Published: April 2023

AbstractSTEM fields, such as physics, increasingly rely on complex programs to analyse large datasets, thus teaching students the required programming skills is an important component of all STEM curricula. Since undergraduate students often have no prior coding experience, they are reliant on error messages as the primary diagnostic tool to identify and correct coding mistakes. However, such messages are notoriously cryptic and often undecipherable for novice programmers, presenting a significant learning hurdle that leads to frustration, discouragement, and ultimately a loss of confidence. Addressing this, we developed a tool to enhance error messages for the popular Python language, translating them into plain English to empower students to resolve the underlying error independently. We used a mixed methods approach to study the tool’s effect on first-year physics students undertaking an introductory programming course. We find a broadly similar distribution of the most common error types to previous studies in other contexts. Our results show a statistically significant reduction in negative student emotions, such as frustration and anxiety, with the mean self-reported intensity of these emotions reducing by (73 ± 12)% and (55 ± 18)%, respectively. This led to a corresponding decrease in discouragement and an increase in student confidence. We conclude that enhanced error messages provide an effective way to alleviate negative student emotions and promote confidence. However, further longer-term investigations are necessary to confirm if this translates into improved learning outcomes. To our knowledge, this is the first physics-specific investigation of the effect of Python error message enhancement on student learning.
Optimization and Uncertain Nonlinear Vibration of Pre/post-buckled In-Plane Functionally Graded Metal Nanocomposite Plates
Authors: Hussein Omar S. 
Published: April 2023

Abstract
Purpose
This paper studies the nonlinear free and forced vibration of in-plane bi-directional functionally graded (FG) metal nanocomposite plates considering uncertain material elastic properties in the pre/post buckling states. Initially, the distribution of the nano-reinforcement volume fraction is designed through an optimization process to minimize the amount of the reinforcement in case of simply supported and clamped plates.

Methods
The elastic modulus of the nanocomposite is modeled as a non-stationary random field using the Karhunen–Loève expansion (KLE) technique while the uncertain output variables are modeled using the polynomial chaos expansion (PCE). The considered plates are thin, so the classical plate theory with the von Kármán nonlinear strain field is used for the analysis. The harmonic balance method and the fourth-order Runge Kutta method are used to estimate the vibration responses.

Results
The in-plane optimization process of the nonreinforcement volume fraction distribution yielded a 14% and 70% saving in the reinforcement amount in the case of the simply supported plate and the clamped plate respectively. The uncertainty in the vibration amplitude in the pre-buckled state can be multiples of the uncertainty in the elastic modulus and follows near normal distributions. In the post-buckled state, the nature of the probability distribution depends on the excitation force and frequency. In general, the FG plates can have similar or more uncertainty levels compared to the equivalent homogenous plates.

Conclusion
The uncertainty in the nonlinear vibration of in-plane functionally graded plates depends on the boundary conditions, modeling definition of the input uncertainty, the excitation force and frequency.
The implication from six years of field experiment: the aging process induced lower rice production even with a high amount of biochar application
Authors: Nan Qiong , Tang Lepeng , Chi Wenchen , Waqas Muhammad , Wu Weixiang 
Published: April 2023

AbstractThe single high-dose application of biochar to increase rice yield has been well reported. However, limited information is available about the long-term effects of increasing rice yield and soil fertility. This study was designed to perform a 6-year field experiment to unveil the rice yield with time due to various biochar application strategies. Moreover, an alternative strategy of the Annual Low dose biochar application (AL, 8 × 35% = 2.8 t ha−1) was also conducted to make a comparison with the High Single dose (HS, 22.5 t ha−1), and annual Rice Straw (RS, 8 t ha−1) amendment to investigate the effects on annual rice yield attributes and soil nutrient concentrations. Results showed that the rice yield in AL with a lower biochar application exceeded that of HS significantly (p < 0.05) in the 6th experimental year. The rice yield increased by 14.3% in RS, 10.9% in AL, and 4.2% in HS. The unexpectedly higher rice yield in AL than HS resulted from enhanced soil total carbon (TC), pH, and available Ca. However, compared to AL, liable carbon fraction increased by 33.7% in HS, while refractory carbon fraction dropped by 22.3%. Likewise, biochar characterization showed that more oxygen functional groups existed in HS than in AL. Decreasing inert organic carbon pools due to the constant degradation of the aromatic part of biochar in HS led to a lower soil TC than AL, even with a higher amount of biochar application. Likewise, the annual depletion lowered the soil pH and available Ca declination in HS. Based on the obtained results, this study suggested AL as a promising strategy to enhance rice productivity, soil nutrient enrichment, and carbon sequestration in the paddy ecosystem.
Graphic abstract