bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adalimumab‐Induced Cutaneous Lupus Erythematosus: Cases Presenting With Malar Rash and Panniculitis
Authors: Mansouri Parvin , Bidari‐Zerehpoosh Farahnaz , Mozafari Nikoo 
Published: January 2025

ABSTRACTTumor necrosis factor‐alpha (TNF‐α) inhibitors are commonly used for management of various autoimmune disorders but can rarely cause isolated cutaneous lupus. This report presents two cases of cutaneous lupus erythematosus (LE) in women aged 38 and 61 after adalimumab treatment for psoriasis highlighting the importance of recognizing these paradoxical reactions for timely management.
Bronchoscopic lung lavage and exogenous surfactant successfully reverse respiratory failure after severe chlorine exposure: A pediatric case report
Authors: Papoff Paola , D'Agostino Benedetto , Cicchetti Roberto , Bitti Antonella , Pennetta Valentina , Caresta Elena 
Published: January 2025

Key Clinical MessageAlthough the symptoms of accidental chlorine inhalation are typically mild, severe exposure can result in acute respiratory distress syndrome (ARDS). We present a case of pediatric ARDS due to chlorine exposure in which lung lavage and exogenous surfactant were successful in avoiding more invasive and costly treatments.AbstractChlorine inhalation as a result of swimming pool chlorination accidents is relatively common. Because symptoms are typically mild (cough and bronchospasm), complications such as severe acute respiratory distress syndrome (ARDS) are identified at a late stage, which places the patient's life at risk and necessitates highly invasive interventions. We present a case of severe ARDS in a 14‐year‐old boy following accidental exposure to chlorine powder. Upon arrival in the pediatric emergency department, the patient received oxygen administration, nebulized salbutamol, and intravenous steroids because of dyspnea and cyanosis. Despite this treatment, the patient's respiratory condition deteriorated. Early intubation and lung‐protective ventilation transitorily improved hypoxemia. Given the underlying pathophysiology of chlorine lung injury characterized by surfactant dysfunction, the boy was treated with repeated bronchoscopic lung lavages followed by exogenous surfactant (Curosurf 30 mg/kg total), 1 h after intubation and subsequently after 6 and 12 h, when he achieved a significant and stable reduction in ventilatory requirements. This case study illustrates the beneficial effects of target therapy with bronchoscopic lung lavage followed by exogenous surfactant in chlorine related ARDS to prevent more invasive and costly treatments.
Development of a Genetic Algorithm Tool for the Optimization of the Methanol Oxidation
Authors: Wang Hongxin , Haidn Oskar , Abbasi Mehdi , Nugymanova Aizhan , Shvab Jaroslaw , Slavinskaya Nadezda 
Published: January 2025

AbstractThis work presents an automatic optimization tool using the genetic algorithm (GA) for the chemical kinetic model of methanol (CH3OH) oxidation. A total of 54 parameters of 40 important reactions of the reaction model have been optimized. Ignition delay times measured in shock tubes, concentration profiles measured in plug flow reactors, and laminar flame speeds were used for the model validation. Compared to the results of the initial model, the optimized model exhibits a significantly improved predictive capability for the experimental targets. The GA tool developed in this study has been proven effective for optimizing detailed chemical kinetics models.
Controllable Self‐Assembly Morphologies of PPV‐Based Block Copolymers
Authors: Han Liang , He Feng 
Published: January 2025

AbstractPoly(p‐phenylenevinylene) (PPV) is a classic semiconducting π‐conjugated polymer with outstanding optical and electronic properties, which shows important applications in the fields of optoelectronic, such as organic light‐emitting diodes (OLEDs), organic solar cells (OSCs), and organic field‐effect transistors (OFETs). In the working process of the device, the microstate of PPV decides its property. Therefore, it is significant to achieve ordered morphologies based on PPV at micro scale. Due to the long rigid backbone and large area of delocalized electron, PPV has a strong tendency towards ordered aggregation through intermolecular π‐π interaction, and “rod‐coil” type block copolymer (BCP) based on PPV with a corona chain to improve the solubility is always built for self‐assembly in situ solution. However, obtaining regular PPV based micro‐/nano‐structures in a controllable and uniform form remains challenging. In this review, we summarize the progresses in constructing multi‐dimensional regular self‐assembly morphologies based on PPV BCPs and exploring the application potential of these delicate functional nanomaterials. The molecular design strategy and growth mechanism can be extended to regulate the aggregation state of functional semiconducting conjugated polymers, which is beneficial to improving their performance in application of microelectronics, optoelectronics, biology and so on.
New design of two‐dimensional LQ control for batch processes with iterative learning error compensation
Authors: Hu Chonggao , Bai Jianjun , Zou Hongbo 
Published: January 2025

AbstractThis paper proposes a two‐dimensional infinite horizon linear quadratic iterative learning control (2D‐IHLQILC) strategy based on error compensation. The strategy aims to address the shortcomings of one‐dimensional infinite horizon linear quadratic control (1D‐IHLQC), which is unable to utilize historical batch information. Firstly, a novel extended state space model is established to describe the batch process, which provides more degrees of freedom for the controller design and enables additional adjustment of the batch process input increment and output increment. Secondly, an error compensation strategy is introduced using historical batch information, which extends the novel extended state‐space model from one to two dimensions and can effectively deal with the time delay problem. Finally, a novel 2D‐IHLQILC controller is designed, which empowers the controller to learn iteratively from historical batch information to improve the control performance batch by batch and to achieve full tracking of the setpoint trajectory. The effectiveness of the 2D‐IHLQILC is tested on the holding pressure control in the injection moulding process as an example.
How to create learning opportunities for sustainable learning success in the context of education for sustainable development
Authors: Bommersheim Stefanie , Heuper Wolfgang , Schütz Tobias 
Published: January 2025

AbstractAngesichts der globalen Herausforderungen ist eine Bildung für nachhaltige Entwicklung (BNE) im Sinne der Sustainable Development Goals (SDGs) der Vereinten Nationen unverzichtbarer Teil des Chemieunterrichts. Es wird aufgezeigt, wie Schülerinnen und Schüler zur Teilnahme am Nachhaltigkeitsdiskurs angeleitet werden.Der Blick wird auf die Prozessqualität des Lehrens und Lernens und damit auf die Tiefenstruktur des Unterrichts gerichtet. Sie zeigt sich in der Qualität der Interaktionen der Lernenden mit dem Lerngegenstand sowie der Interaktionen zwischen den Beteiligten. Eine Konkretisierung erfolgt anhand der Merkmale kognitive Aktivierung, diskursfördernde Moderation, Verständnisorientierung und konstruktive Unterstützung.Dazu wird ein BNE‐Unterrichtsbeispiel vorgestellt, in dem es um den Vergleich der Effizienz eines mit E‐Fuels betriebenen Verbrennungsmotors mit der eines batterieelektrischen Antriebes geht.
How (Not) to Measure Companies' Climate Transition Risk: A Framework and Categorized Literature Review
Authors: Fliegel Philip 
Published: January 2025

ABSTRACTThe climate transition is increasingly acknowledged as a major risk driver for companies, financial institutions, and investors. At the same time, there is widespread confusion about how to best measure climate transition risk, since different measurements lead to significantly different risk profiles. I show empirically that, to date, the two most common proxies for climate transition risk are CO2 and E(SG) score data. I further contribute to the transition risk literature by proposing a comprehensive 10‐category framework, specifically tailored toward assessing climate transition risk proxies. I apply the framework by executing the first category‐led literature review on the quality of both CO2 data and E‐scores as proxies for climate transition risk. I find that both data types are dynamic and strong in terms of granularity as well as usability; but have shortcomings across a multitude of categories: bias, availability, comparability, the backward‐looking nature of the metrics, and transition risk specificity being the most severe issues. I urge scholars to reflect on these shortcomings as they could significantly distort results. As a minimum, scholars should test for the robustness of their results when relying solely on ESG or CO2 data to classify transition risk. Therefore, I propose both within and between transition risk metric robustness tests, which are not yet commonly used in the literature. I close by introducing and discussing alternative proxies for climate transition risk, such as EU taxonomy alignment, sector/technology classifications, or innovative combinations of risk metrics. I argue that scholars should consider these alternatives since they are potentially less biased, more specific to transition risk, comparable, and available. I thereby contribute to a better measurement of companies' transition risk, which is a key prerequisite for accurately managing and correctly pricing climate transition risk.
The Impact of Ligand Structure and Reaction Temperature on Ethenolysis of Fatty Acid Methyl Esters Catalyzed by Spirocyclic Alkyl Amino Carbene Ru Complexes
Authors: Afanaseva Anna V. , Vinogradov Alexander A. , Vinogradov Alexey A. , Minyaev Mikhail E. , Pyatakov Dmitry A. , Tavtorkin Alexander N. , Bagrov Vladimir V. , Ivchenko Pavel V. , Nifant'ev Ilya E. 
Published: January 2025

AbstractSpirocyclic alkyl amino carbene (SCAAC) Ru complexes demonstrate outstanding activity and selectivity in ethenolysis of methyl oleate (MO) or fatty acid methyl esters (FAMEs), and 5,6‐dimethoxyindane derivative was the most active catalyst to date. For the further catalyst design, we proposed modifying the spirocyclic fragment by fusion of saturated carbo‐ or heterocycle, linked to the 5,6‐positions of indane or 6,7‐ positions of tetralin. Another suggested way of the modification of SCAAC complex was the insertion of chromane fragment to the carbene ligand. Using an alternative approach to SCAAC ligand precursors, based on hydroformylation of indenes, dihydronaphthalenes and their analogs, new SCAAC complexes were synthesized, their cis‐configuration was confirmed by XRD. Comparative study of new and known selected complexes in ethenolysis of FAMEs (84 wt% MO) revealed that each of SCAAC catalysts has a temperature optimum of activity. At 60 °C 0.5 ppm of the complex containing 1,2,3,4,5,6,7,8‐octahydroanthracene spirocyclic fragment provided 56 % conversion of FAMEs with TON=1.1⋅106; 0.25 ppm of this complex in ethenolysis of high‐purity MO demonstrated the TON ~2⋅106, leading among the catalysts under study. In ethenolysis of FAMEs chromane derivative showed TON of 4–6⋅105 and unprecedented temperature‐independent 99.7–99.9 % selectivity at 15–60 °C.
Kin Competition Drives the Evolution of Earlier Metamorphosis
Authors: Dong Bing , Gardner Andy 
Published: January 2025

ABSTRACTMetamorphosis, the discrete morphological change between postembryonic life stages, is widespread across the animal kingdom. The suggested advantages of metamorphosis have usually been framed in terms of population benefits, i.e., ecological explanations. In contrast, evolutionary explanations concern whether and how metamorphosis spreads through a population owing to individual‐fitness benefits. However, how kin selection modulates evolution of metamorphosis remains to be investigated formally. Here we develop a mathematical model to investigate how kin selection shapes the optimal timing of metamorphosis from foraging, non‐reproductive larva to reproductive adult, when larvae tend to cluster with their genetic relatives. We consider the full range of larval competition intensities—from no competition to full competition—and the full range of relatedness coefficients—from unrelated to clonality. We provide testable predictions as to how kin selection modulates the timing of metamorphosis, as well as a conceptual framework within which empirical observations may be understood.
Precision microbial regulation: Strategies for modulating GIT microbiota for host health
Authors: Zhong Pei , Li Qin , Zhang Yanmei , Guo Cheng , Abdelsattar Mahmoud M. , Bi Yanliang 
Published: January 2025

AbstractRecent advancements in analytical techniques have unveiled the spatiotemporal diversity of the gastrointestinal tract (GIT) microbiota and their associations with host well‐being. Despite these insights, the precise regulation of GIT microbiota remains a significant challenge. Currently, microbial regulatory strategies, including fecal microbiota transplantation (FMT), synthetic microbial communities (SynComs), genetically engineered microorganisms (GEMs), phages, and nanomaterials, are increasingly utilized for their precise influence on GIT microbiota. This review emphasizes the necessity for developing targeted regulatory strategies in GIT and provides a comprehensive summary and comparison of these approaches to explore their regulatory potential. We discuss recent advancements in these strategies, focusing on their mechanisms, efficacy, safety considerations, clinical trials, and optimization at the application level. Finally, we highlight support methods for optimizing modulation strategies, including the timing of microbial regulation, the selection of microbial targets, and the importance of monitoring the gastrointestinal environment to guide effective microbial interventions.
Characterization of PuO2 With Visible and UV Raman Spectroscopy: Discrimination Between the Bulk, Surface, and an Intermediate Disordered Layer
Authors: Villa‐Aleman Eliel , Darvin Jason R. , Dick Don D. , Shehee Thomas C. , Foley Bryan J. 
Published: January 2025

ABSTRACTRaman spectroscopy is an ideal tool in the characterization of materials including PuO2. The wavelength‐dependent absorptivity of the material defines the light penetration depth and the relative Raman scattering contribution from the bulk and the surface. The surface contribution to the total Raman scattering was investigated for PuO2 calcined at various temperatures and recorded with laser wavelengths of 355, 325, and 244 nm. These experiments provided the first glimpse of the wavelength‐dependent disappearance and emergence of new phonons and electronic bands from the PuO2 surface layers. The first indication of the wavelength transition in the Raman spectra was the loss of the 2LO2 (overtone, ~1155 cm−1) band and the weakening intensity of the Г1 → Γ5 electronic band (~2135 cm−1) with the 355‐nm excitation laser. The Γ5 electronic band was barely visible with the 244‐nm excitation. The electronic band located at ~1050 cm−1, corresponding to the Г1 → Γ4 electronic transition was observed to dramatically increase in intensity while the Г1 → Γ3 electronic band (2640 cm−1) sharpened as the UV wavelength was increased in energy from the near‐ to deep‐UV (355–325–244 nm). The FWHM of the T2g band was found to vary with calcination temperature (450°C and 900°C) with the 325‐nm laser and the 244‐nm laser. The T2g band attributes, the strong emergence of the Г1 → Γ4 electronic band, and the disappearance of the 2LO2 overtone acquired with the 244‐nm excitation for the different calcination temperatures suggest a shallow penetration depth.
Open Partial Horizontal Laryngectomy in the Elderly: Oncological and Functional Outcomes
Authors: Bertolin Andy , Succo Giovanni , Crosetti Erika , Varago Chiara , Laura Elisa , Franz Leonardo , Nguyen Thi K.H. , Di Chicco Alessandra , Battistuzzi Veronica , Grassetto Alberto , Lionello Marco 
Published: January 2025

ObjectivesThe aim of the present study was to investigate the oncological and functional prognostic implication of perioperative risk factors in the elderly patient who underwent open partial horizontal laryngectomy (OPHL).Study DesignA single institution, retrospective case–cohort study.MethodsThe present study retrospectively reviewed the clinical charts of a cohort of 100 elderly laryngeal squamous cell carcinoma (LSCC) patients who underwent OPHL at our institution. Oncological and functional results were evaluated through univariate analysis.ResultsThe overall recurrence rate was 19%. The 2 years overall and disease‐specific survivals were 72% and 90%, respectively. No perioperative deaths were reported. A postoperative complication was reported in 20 cases (20%). Fifty‐four patients (54%) were decannulated during the hospitalization. A percutaneous endoscopic gastrostomy procedure was performed in 12 patients (12%) due to persistent dysphagia. Twenty‐six patients experienced postoperative late sequelae (26%), in terms of postoperative laryngeal obstruction (POLO) in 17 cases. A total of 80 patients (80%) were finally successfully decannulated. A functional total laryngectomy was performed in 6 cases.ConclusionsThe indication to OPHL should be carefully evaluated in the elderly. In appropriately selected patient, OPHL represents a safe and effective therapeutic option. Cervical positive nodes and an incomplete resection of the tumor with positive surgical margins remain in such population the main prognostic factors for the oncological outcome, these factors have a negative impact on the functional outcome too, due to the need for adjuvant treatment. Hence, OPHL should be offered as a single‐modality treatment especially in the elderly.Level of Evidence4 Laryngoscope, 2025
Firm Performance on Artificial Intelligence Implementation
Authors: Huang Cheng‐Kui , Lin Jheng‐Siang 
Published: January 2025

ABSTRACTIn recent years, artificial intelligence (AI) has become a focal point in academic and business research. With breakthroughs in learning algorithms, AI applications in business operations are increasingly practical and impactful. AI offers tools for market analysis, decision‐making support, and innovations in business models and processes, presenting a significant turning point for firms. Despite this, questions remain about whether AI implementation yields measurable business value or is merely a trend, challenging enterprises and managers. This study provides a significant contribution by empirically examining AI impact on firm‐level performance through three key indicators: financial performance, productivity, and market value. Drawing on internal financial perspectives, this research reveals that while AI adoption enhances financial performance and market value, the advantages for AI first movers and better performers are not uniformly positive across all indicators. This nuanced analysis offers managers and stakeholders a deeper understanding of the tangible value of AI, guiding more informed implementation strategies.
Two‐Grid Finite Element Method for the Time‐Fractional Allen–Cahn Equation With the Logarithmic Potential
Authors: Zhang Jiyu , Li Xiaocui , Ma Wenyan 
Published: January 2025

ABSTRACTIn this paper, we propose a two‐grid finite element method for solving the time‐fractional Allen–Cahn equation with the logarithmic potential. Firstly, with the L1 method to approximate Caputo fractional derivative, we solve the fully discrete time‐fractional Allen–Cahn equation on a coarse grid with mesh size and time step size . Then, we solve the linearized system with the nonlinear term replaced by the value of the first step on a fine grid with mesh size and the same time step size . We obtain the energy stability of the two‐grid finite element method and the optimal order of convergence of the two‐grid finite element method in the L2 norm when the mesh size satisfies . The theoretical results are confirmed by arithmetic examples, which indicate that the two‐grid finite element method can keep the same convergence rate and save the CPU time.
Association Between Healthful Plant‐Based Dietary Pattern and Obesity Trajectories and Future Cardiovascular Diseases in Middle‐Aged and Elderly: A Prospective and Longitudinal Cohort Study
Authors: Fan Zhixing , Yang Chaojun , Zhao Chenyu , Wu Hui , Wang Huibo , Yang Ying , Li Qi , Yang Jian 
Published: January 2025

ABSTRACTWe aimed to explore the association between plant‐based dietary (PBD) patterns and obesity trajectories in middle‐aged and elderly, as well as obesity trajectories linked to cardiovascular disease (CVD) risk. A total of 7108 middle‐aged and elderly UK Biobank participants with at least three physical measurements were included. Dietary information collected at enrolment was used to calculate the healthful plant‐based diet index (hPDI). Group‐based trajectory modeling identified two trajectories for each adiposity measure: BMI Low‐Smooth and High‐Growth‐Decline; FMI Low‐Smooth and High‐Growth‐Decline; WHR Low‐Growth and High‐Growth. Logistic regression showed that participants in the medium and high hPDI groups were less likely to follow the BMI High‐Growth‐Decline (OR = 0.72, 95% CI: 0.60–0.87; OR = 0.49, 95% CI: 0.39–0.61), FMI High‐Growth‐Decline (OR = 0.71, 95% CI: 0.60–0.84; OR = 0.55, 95% CI: 0.46–0.66), and WHR High‐Growth (OR = 0.73, 95% CI: 0.61–0.87; OR = 0.52, 95% CI: 0.43–0.63) trajectories. After a median follow‐up time of 3.88 years, Cox regression showed higher CVD risk for participants in these trajectories (HR = 1.70, 95% CI: 1.37–2.11; HR = 1.68, 95% CI: 1.37–2.06; HR = 1.30, 95% CI: 1.04–1.63). A healthy PBD pattern was associated with the maintenance of a healthy BMI classification. Furthermore, the long‐term stabilization of a healthy BMI classification may be linked to a reduced risk of CVD.
Novel Machine‐Learning Modeling of Facial Trauma Volume With Regional Event and Weather Data
Authors: Sharma Rahul K. , Papazian Michael R. , Lubner Rory J. , Barna Alexander J. , Yang Shiayin F. , Stephan Scott J. , Patel Priyesh N. 
Published: January 2025

AbstractObjectiveFacial trauma volume is difficult to predict accurately. We aim to understand the capacity of climate and regional events to predict daily facial trauma volume. This can provide epidemiologic understanding and subsequently tailor workforce distribution and scheduling.Study DesignRetrospective cohort study.SettingSingle Tertiary Academic Medical Center.MethodsFacial trauma consults between 2017 and 2023 were extracted from a single Level I Trauma Center. Publicly accessible data on local concerts, National Hockey League games, National Football League games, and weather data from the National Oceanic and Atmospheric Administration data were merged with trauma data. Machine‐learning random‐forest (RF) plot feature identification was used to identify variables to model high‐volume facial trauma days (greater than 75th percentile).ResultsFor analysis, 2342 days were included. The median number of facial trauma consults was 3.0 (interquartile range: 2.0‐5.0). The month of May exhibited the highest rate of high‐volume trauma days (13% of days, P < .001). On RF feature identification, the strongest predictive factors included weekend day status, average temperature, precipitation, hail, high/damaging winds, and holidays. Regional events were not included in the final models. On stepwise logistic regression modeling with pertinent variables, weekend day (odds ratio [OR]: 2.20, 95% confidence interval [CI]: 1.80‐2.69, P < .001), average temperature (OR: 1.02, 95% CI: 1.01‐1.02, P < .001), and wind speed (0.97, 0.93‐1.00, P = .049) were the only statistically significant variables.ConclusionClimate data were the primary factor that had predictive capacity for high‐volume facial trauma days, more so than regional events. Testing models prospectively will help validate such models and help inform staffing for facial trauma coverage.