bluuebunny/crossref_metadata_2025_split huggingface dataset:
Removal of beryllium (Be2+) from aqueous solution by 5-sulfosalicylic acid-loaded anion-exchange resin
Authors: Dündar Ozan Ali , Arar Özgür 
Published: May 2024

AbstractThis study presents the preparation and application of a 5-sulfosalicylic acid-loaded anion-exchange resin to remove Be2+from aqueous solutions. Optimization efforts focused on critical parameters, including resin dosage, initial solution pH, and the influence of interfering ions. Results indicate an optimal resin dose of 0.3 g and a working pH of ≥ 4.0 for maximal Be2+removal efficiency. Kinetic analysis reveals rapid removal kinetics, with 99% removal achieved within 45 min. Notably, the resin exhibits remarkable selectivity, maintaining consistent removal rates for Be2+even in the presence of common interfering ions such as Na+, K+, Ca2+, Mg2+, and Fe2+. Sorption isotherms fitting the Langmuir model further support the resin's effectiveness in Be2+removal. Thermodynamic evaluation suggests the removal process is spontaneous (∆G° < 0) and endothermic (∆H° > 0), indicating favorable energetics. Crucially, the Be-loaded resin is easily regenerated using 0.1 M HCl, enhancing its practical applicability. These results highlight the effectiveness and potency of the prepared resin in Be2+removal, suggesting promising solutions for addressing environmental contamination.
Non-oxidative ethane dehydrogenation reaction over molybdenum and chromium incorporated MgO encapsulated carbon-core catalysts in microwave reactor
Authors: Karaman Birce Pekmezci , Ekinci Emine Kaya 
Published: May 2024

AbstractChromium and molybdenum incorporated MgO and MgO–C catalysts were synthesized for hydrogen production from a non-oxidative ethane dehydration reaction. Hydrogen production studies were carried out using a microwave-heated reactor system. The study investigated the effects of reaction temperature, type of active metal, and catalyst preparation method (physical mixture or core–shell structure) on hydrogen selectivity and ethane conversion during dehydrogenation reactions. The results showed that the optimal reaction temperature for the non-oxidative ethane dehydration reaction was 450 °C. Above this temperature, the selectivity of undesired byproducts increased. Catalysts containing molybdenum exhibited higher ethane conversion. Moreover, a comparison of MgO–C-supported catalysts with MgO-supported catalysts revealed that the core–shell catalysts exhibited superior ethane conversion. Notably, the 5Mo@MgO–C catalyst demonstrated exceptional catalytic activity, achieving a high ethane conversion rate of 72% along with excellent stability.
Embracing ambivalence as the key to promoting tree diversities as nature-based solutions in European cities
Authors: Haase Dagmar , Dushkova Diana 
Published: May 2024

AbstractUrban trees are recognised worldwide as one of the most sustainable and effective nature-based solutions to combat the effects of climate change and improve the quality of life for city dwellers by cooling the air, absorbing pollutants and damping noise. Along with protection from flooding and soil retention/restoration, trees also symbolise beauty, aesthetic quality, and orientation in urban spaces. Nevertheless, the relationship between street/park trees and urban society is highly ambivalent when it comes to pollen emissions and allergies, but also due to clearing space for new housing, road extensions, or parking places, which is accepted by large sections of urban society. In addition, climate change in itself is a major challenge to urban trees, as they suffer from drought and are increasingly attacked by pests. Urban planners and community partnerships have already developed a range of strategies (from more expert-led approaches to participatory co-design and actions) to maintain, increase, and diversify tree cover. They have also created new habitats and at the same time caused competition for space in the city, where every square centimetre is fought over. Using the case studies from Central and Eastern Europe and also considering the examples from Northern America and Asia, this commentary highlights the ambivalent relationship between humans and nature in regard to urban trees. It also demonstrates that the acceptance of this ambivalence can be a key to the conservation and maintenance of urban biodiversity through the involvement of different stakeholders including citizens.
Deletion of Nrf2 induced severe oxidative stress and apoptosis in mice model of diabetic bladder dysfunction
Authors: Wang Lei , Sun Weiaho , Ren Guanyu , Sun Yi , Xu Cheng , Song Qixiang , Zhang Xinhui , Yang Chenghua , Liu Zhiyong 
Published: May 2024

AbstractThe nuclear factor erythroid 2-related factor 2 (Nrf2) pathway has been confirmed as a therapeutic target for type 2 diabetes mellitus (T2DM), however few studies revealed its effect in diabetic bladder dysfunction (DBD). Herein, we reported a Nrf2 deletion diabetic mouse model induced by 8-week high-fat diet feeding combined with streptozocin (STZ) injection in Nrf2 knockout mice. Besides, wild-type mice (WT) were used as control group, wild-type mice with high-fat diet feeding and STZ injection as diabetic group (WT-T2DM), and Nrf2 knockout mice as Nrf2 deletion group (KO). The pathophysiological indexes and bladder morphology showed typical pathological features of diabetic bladder dysfunction in Nrf2 knockout diabetic mouse mice (KO-T2DM). ELISA results showed that advanced glycation end products (AGEs), ROS and malondialdehyde (MDA) levels in bladder was were up-regulated in both WT-T2DM and KO-T2DM group, while superoxide dismutase (SOD) and glutathione (GSH) levels decreased in these two groups. Compared with WT-T2DM group, western blot analysis of the bladder showed down-regulated expression of NQO1 and HO-1 in KO-T2DM group. However, apoptosis, marked by Caspase3 and bax/bcl-2 ratio, was increased in KO-T2DM group. Neurotrophic factor (NGF) was significantly decreased in DBD model, and even much lower in KO-T2DM group. Collectively, our findings demonstrated that deletion of Nrf2 lead to severe oxidative stress, apoptosis, and lower level of neurotrophic factor, and provided the first set of experimental evidence, in a mouse model, to support Nrf2 as a promising target for DBD.
Multicountry Time-Varying Taylor Rule: Modeling Unconventional Monetary Policies and Bond Premiums
Authors: Morita Tohru 
Published: May 2024

AbstractIn the post-financial-crisis era, advanced economies have increasingly adopted unconventional monetary policies such as zero interest rate policy, negative interest rate policy, forward guidance communication, and international coordination policies. Consequently, the traditional Taylor rule has lost some of its explanatory power. This analysis extends the Taylor rule from a single-country to a multicountry analysis using cross-country panel data, incorporating nonmacro factors and stationary correlation in the diffusion matrix for a dynamic factor analysis, specifically covering the Group of Seven countries with datasets compiled by Bloomberg L.P. for the period 1999–2022. This approach comprehensively models these unconventional monetary policies, demonstrating greater statistical validity than existing models. Notably, the model extracts the impact of zero interest rate policy and negative interest rate policy as nonmacro factors and presents the high correlation of residuals as indicative of international coordination among central banks. Additionally, by interpreting the discrepancy between the Taylor rule and actual rate as unintended interest rate fluctuations by central banks, the study posits that interest rates will eventually return to the central bank’s intended fair value. The model’s estimation errors could be treated akin to bond value factors in global risk premia.
Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia
Authors: Deng Tianqin , Wang Wanxue , Fu Zhihong , Xie Yuli , Zhou Yonghong , Pu Jiangbo , Chen Kexin , Yao Bing , Li Xuemei , Yao Jilong 
Published: May 2024

Abstract
Background
Despite the clear clinical diagnostic criteria for necrozoospermia in andrology, the fundamental mechanisms underlying it remain elusive. This study aims to profile the lipid composition in seminal plasma systematically and to ascertain the potential of lipid biomarkers in the accurate diagnosis of necrozoospermia. It also evaluates the efficacy of a lipidomics-based random forest algorithm model in identifying necrozoospermia.

Methods
Seminal plasma samples were collected from patients diagnosed with necrozoospermia (n = 28) and normozoospermia (n = 28). Liquid chromatography–mass spectrometry (LC–MS) was used to perform lipidomic analysis and identify the underlying biomarkers. A lipid functional enrichment analysis was conducted using the LION lipid ontology database. The top 100 differentially significant lipids were subjected to lipid biomarker examination through random forest machine learning model.

Results
Lipidomic analysis identified 46 lipid classes comprising 1267 lipid metabolites in seminal plasma. The top five enriched lipid functions as follows: fatty acid (FA) with ≤ 18 carbons, FA with 16–18 carbons, monounsaturated FA, FA with 18 carbons, and FA with 16 carbons. The top 100 differentially significant lipids were subjected to machine learning analysis and identified 20 feature lipids. The random forest model identified lipids with an area under the curve > 0.8, including LPE(20:4) and TG(4:0_14:1_16:0).

Conclusions
LPE(20:4) and TG(4:0_14:1_16:0), were identified as differential lipids for necrozoospermia. Seminal plasma lipidomic analysis could provide valuable biochemical information for the diagnosis of necrozoospermia, and its combination with conventional sperm analysis may improve the accuracy and reliability of the diagnosis.
Reviewing neonicotinoid detection with electroanalytical methods
Authors: Barton Bartłomiej , Ullah Nabi , Koszelska Kamila , Smarzewska Sylwia , Ciesielski Witold , Guziejewski Dariusz 
Published: May 2024

AbstractNeonicotinoids, as the fastest-growing class of insecticides, currently account for over 25% of the global pesticide market. Their effectiveness in controlling a wide range of pests that pose a threat to croplands, home yards/gardens, and golf course greens cannot be denied. However, the extensive use of neonicotinoids has resulted in significant declines in nontarget organisms such as pollinators, insects, and birds. Furthermore, the potential chronic, sublethal effects of these compounds on human health remain largely unknown. To address these pressing issues, it is crucial to explore and understand the capabilities of electrochemical sensors in detecting neonicotinoid residues. Surprisingly, despite the increasing importance of this topic, no comprehensive review article currently exists in the literature. Therefore, our proposed review aims to bridge this gap by providing a thorough analysis of the use of electrochemical methods for neonicotinoid determination. In this review article, we will delve into various aspects of electrochemical analysis, including the influence of electrode materials, employed techniques, and the different types of electrode mechanisms utilized. By synthesizing and analysing the existing research in this field, our review will offer valuable insights and guidance to researchers, scientists, and policymakers alike.
Zeolites synthesis from phyllosilicates and their performance for CO2 adsorption
Authors: Essih Salima , Vilarrasa-García Enrique , Azevedo Diana Cristina Silva , Ballesteros-Plata Daniel , Barroso-Martín Isabel , Infantes-Molina Antonia , Rodríguez-Castellón Enrique , Franco Francisco , Cecilia Juan Antonio 
Published: May 2024

AbstractFive phyllosilicates (kaolinite, montmorillonite, saponite, sepiolite and palygorskite) have been selected as starting materials for the synthesis of zeolites. Among them, kaolinite and montmorillonite display the lowest Si/Al molar ratio leading to aluminosilicates with high crystallinity. Thus, the hydrothermal treatment under basic conditions forms 4A zeolite when kaolinite is used as starting material while 13X zeolite is obtained when montmorillonite is used as starting material. The microporosity and CO2-adsorption capacity of the prepared zeolites are directly related to its crystallinity. Thus, in order to improve it, raw phyllosilicates were subjected to a microwave-assisted treatment to remove undesired Mg or Fe-species, which have a negative effect in the assembling of the zeolites by hydrothermal basic conditions in a second step. The highest adsorption value was 3.85 mmol/g at 25 °C and 760 mm of Hg for Mont-A-B sample after the consecutive treatments.
Teachers’ trajectories of technology integration during participation in an online professional development program
Authors: Fütterer Tim , Backfisch Iris , Lachner Andreas 
Published: May 2024

AbstractTechnology-related professional development (PD) is a crucial strategy to prepare and encourage teachers to integrate technology into their teaching in a high-quality way. During teachers’ participation in technology-related PD, change processes occur from a current to a desired status of technology-enhanced teaching (TET). A higher probability of disruption of TET can be assumed during these change processes. However, previous research on PD is mainly based on cross-sectional data that does not provide insight into such change processes (especially during PD participation). In this study, we examined teachers’ trajectories closely during their participation in a 3-month technology-related online PD (OPD). We conducted a concurrent explanatory mixed-methods approach to analyze longitudinal data from the first four weeks of the OPD, focusing on 23 teachers who completed weekly reflection diaries. Findings from a multilevel framework revealed that most of the variances in the development of teachers’ technology integration (i.e., frequency and quality) and motivation to use technology for teaching (i.e., self-efficacy and utility value) was due to contextual factors. Using linear mixed-effects models, we found a statistically significant decrease in teachers’ quality of TET over time. Analyses of reflections on TET of extreme cases allowed us to identify possible relevant contextual characteristics related to smoother TET: 1) the use of one generic technology across lessons and 2) the use of ready-to-use domain-specific technology. Implications for practice are discussed, such as attention to unintended side effects of teachers’ TET during instructional phases of technology-related OPD.
ORF, an operational framework to measure resilience in social–ecological systems: the forest case study
Authors: Lloret Francisco , Hurtado Pilar , Espelta Josep Maria , Jaime Luciana , Nikinmaa Laura , Lindner Marcus , Martínez-Vilalta Jordi 
Published: May 2024

AbstractResilience is commonly addressed when dealing with the sustainable planning and management of social–ecological systems, but we lack a unified framework for its quantitative assessment and application. We present an operational resilience framework (ORF) based on recognizing and relating several elements: system variables (e.g., ecosystem services), disturbances and stressors acting at given spatiotemporal scales, a reference state, and metrics comparing the observed system variables to the reference state. These elements fit into a rationale aimed at identifying resilience predictors suitable to be managed and co-drivers which describe non-manageable context, reflecting the mechanisms involved in resilience. By a systematic search of the presence of the ORF concepts in 453 empirical studies assessing resilience, we corroborate that ORF can be applied to studies on forest social–ecological systems. This literature survey shows that ORF elements are commonly recognized, although the logical narrative relating them is not always explicit, particularly in socioeconomic-focused studies. We advocate that the proposed ORF allows to standardize the terminology and to frame and measure resilience, allowing sounder comparisons and better-supported recommendations for the improvement of resilience in social–ecological systems, particularly in forest systems.
Distinguishing Turkish pine honey from multi-floral honey through MALDI-MS-based N-glycomics and machine learning
Authors: Masri Saad , Aksoy Sena , Duman Hatice , Karav Sercan , Kayili Haci Mehmet , Salih Bekir 
Published: May 2024

AbstractHoney, a multifaceted blend of sugars, amino acids, vitamins, proteins, and minerals, exhibits compositional variability dependent upon the floral source. While previous studies have attempted to categorize honey, the use of glycomic profiles for honey classification remains an unexplored avenue. This investigation seeks to establish a methodology for distinguishing honey types, specifically multi-floral and pine honey, employing mass spectrometry-based glycomic analysis in tandem with machine learning. In this search, seven samples of pine honey and eight samples of multi-floral honey were obtained from diverse regions of Turkey. Subsequently, the proteins within these honey samples were extracted, and glycans were enzymatically released. The released glycans were labeled with 2-aminobenzoic acid (2-AA) and subjected to analysis via matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). The glycan profiles of pine and multi-floral honey were determined through these analytical procedures, revealing a total of 76 distinct N-glycan structures. Among these, 13 N-glycan profiles consistently established at high levels across experimental replicates and were incorporated in subsequent analyses. Following the quantification of individual glycan abundances, statistically significant differences in glycan profiles were determined. Notably, N-glycans Hex5HexNAc2, Hex4HexNAc3, and Hex5HexNAc3 displayed considerable differences. Using the 13 N-glycan profiles, an accuracy rate of 93.5% was obtained from machine learning analysis, which increased to 100% when incorporating the identified significantly changed glycans. The most productive models were identified as “subspace and fine k-nearest neighbors (KNN).” The findings underscore the potential of mass spectrometry-based glycomics in conjunction with machine learning as a robust tool for precise honey type classification and its prospective utility in quality control and honey product authentication.
Perioperative Cannabis Use in Bariatric Patients: A Review of Outcomes and Proposed Clinical Pathway for Management
Authors: Maceyko Meghan H. , Neff Marc , Halevy Jonathan , Dunham Marguerite 
Published: May 2024

AbstractLegalization of marijuana has led to increased prevalence of medical and recreational cannabis use, underscoring the importance for anesthesiologists, surgeons, and perioperative physicians to understand the effects of this drug in patient care. Bariatric surgical patients represent a unique target population to understand peri-operative cannabis use and its effects as these patients undergo an extensive preoperative psychological and nutritional evaluation. Standardized guidelines on cannabis use in bariatric surgery are lacking and many clinicians remain uncertain on how to handle cannabis use in the peri-operative period. Here, we summarize the data on cannabis use in bariatric patients, specifically exploring anesthetic considerations, weight loss, complications, mortality, and psychiatric outcomes. We propose a clinical pathway to assist clinicians with perioperative decision making in bariatric patients who use marijuana.
Development of the edible Tenebrio molitor at different temperatures: a Poisson log-linear regression modeling approach
Authors: Kavallieratos Nickolas G. , Skourti Anna , Nika Erifili P. , Malesios Chrisovalantis 
Published: May 2024

AbstractTenebrio molitor gained recognition for its nutritional value for human and/or animal consumption, its utilization as a model species in research studies, and its ability to degrade many types of plastics. However, it is a stored-product pest infesting a wide range of commodities in storages. The impact of temperature on the development of T. molitor was evaluated, taking into account confounding effects of other covariates such as developmental stage and larval instar. The time for larval development was longer at 22.5 °C than at 25 °C, 27.5 °C, and 30 °C. Tenebrio molitor spent most of its lifetime as larva > egg, pupa, since the outcome of our model inference resulted that the estimated probability of longer duration in larvae is approximately 25.5 times higher compared to eggs and pupae, and passed through 26 instars before it became pupa. Duration of larval instars increased significantly up to L22 and then decreased until L26. Among larval instars, L22 exhibited the highest developmental duration while the lowest was recorded for L1. These findings enhance the knowledge about the biology of T. molitor, leading to precise decisions for its successful culture.
Und jetzt noch eine Geschichte… – Pilotstudie zur Veränderung schlafbezogener Ängste von Kindern durch das Vorlesen von Bilderbüchern
Authors: Mühr Yvonne , Teichmüller Karolin , Trübner Louisa , Quante Mirja , Kübler Andrea , Schlarb Angelika A. 
Published: May 2024

Zusammenfassung
Hintergrund
Schlafschwierigkeiten im Kindesalter sind weit verbreitet. Etwa zwei Drittel aller Kinder und Jugendlichen erleben im Laufe ihres Heranwachsens belastende schlafbezogene Ängste. Dies allein ist keine Diagnose, hat jedoch weitreichende Folgen, da sich die Prävalenz für Folgestörungen wie beispielsweise Angststörungen und Insomnie erhöht.
Einzelfallstudien haben ergeben, dass bereits kurze bibliotherapeutische Interventionsprogramme von wenigen Wochen Veränderungen im Angsterleben und problematischen Zubettgehverhalten bewirken können. Bilderbücher sind, vor allem für jüngere Kinder, bei denen schlafbezogene Ängste besonders häufig auftreten, eine frühe, risikoarme und kosteneffektive Hilfe bei der Bewältigung. Ziel der Studie war daher, die Wirksamkeit einer niederschwelligen, präventiv ausgerichteten, strukturiert angeleiteten und supervidierten bibliotherapeutischen Maßnahme im Hinblick auf schlafbezogene Ängste zu überprüfen.

Methoden
19 Kinder im Alter von 4,5–7 Jahren und deren Eltern wurden in einem Vorher-Nachher-Design mit Baseline und Follow-up vor und nach dem Lesen ausgewählter Bilderbücher nach ihren Ängsten und ihrem Zubettgehverhalten befragt. Jede Familie erhielt ein gleiches Set aus vier Bilderbüchern sowie standardisierten Instruktionen zum Vorleseverhalten. Zur Befragung wurden Schlafprotokolle, Interviews, Fremdbeurteilungs- und Selbstbeurteilungsinstrumente eingesetzt. Nach einer zweiwöchigen Baseline folgte eine zweiwöchige Testphase und nach vier Wochen eine Nachbefragung.

Ergebnisse
Die Ergebnisse zeigen eine signifikante Verbesserung der schlafbezogenen Ängste und einiger problematischer Verhaltensweisen beim Zubettgehen im Prä-Post-Vergleich. Die Anzahl der geäußerten Ängste, der Widerstand beim Zubettgehen sowie die Häufigkeit des nächtlichen Erwachens wurden signifikant reduziert. Die Veränderungen blieben vier Wochen nach der Testphase stabil.
In der vorliegenden Pilotstudie konnte erstmals anhand einer größeren Stichprobe die positive Wirkung von Bilderbüchern auf schlafbezogene Ängste und problematisches Zubettgehverhalten gezeigt werden. Die positiven Effekte wurden sowohl von den Eltern als auch von den Kindern berichtet. Umfassendere Studien mit Kontrollgruppendesign sind notwendig.