bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mucoepidermoid carcinoma of the palate in a patient with a history of neuroblastoma: A case report and a review of the literature
Authors: Aghahosseini Farzaneh , HafeziMotlagh Kimia , Derakhshan Samira , Bahrami Hosna 
Published: September 2023

AbstractSecondary neoplasms were reported as one of the complicated complications of childhood cancer treatment. Salivary gland carcinoma is rare, and mucoepidermoid carcinoma (MEC) is the most prevalent subtype. Secondary neoplasms following neuroblastoma are not often described due to poor long‐term survival. The exact cause of these tumors in children, and adults is not clearly known, but they are often observed after head, and neck radiotherapy and mainly involve main salivary glands, especially the parotid. Hence, we report a case of MEC with telangiectasia in the salivary glands of a 20‐year‐old girl with complaint of a palatal swelling who was treated with chemotherapy (etoposide, G‐CSF, cyclophosphamide) without radiotherapy since childhood (18 months) in terms of neuroblastoma. Based on our knowledge, only three cases of MEC following neuroblastoma have been reported before, all of which involved the major salivary glands. Survivors of primary neoplasms who were treated are at risk of secondary malignant neoplasms, which usually occur at a long interval from the primary neoplasm (5–15 years), which necessitates long and close follow‐up.
Numerical investigation of lateral behaviour of steel‐timber hybrid frames
Authors: Offerman Tom , Bompa Dan V. 
Published: September 2023

AbstractThis paper examines the response of steel‐timber hybrid (STH) lateral stability systems for medium‐rise buildings. A ten‐storey baseline STH structure was designed to codified procedures and compared with a steel‐concrete composite structure. Detailed numerical models were constructed in which specific constitutive representations were assigned to steel‐timber and timber‐timber connections. Parametric investigations on the STH structure were carried out in which the cross laminated timber panel layups, timber shear wall length, and connection characteristics were modified. The study indicated that the STH structure had larger lateral deformations compared to the steel‐concrete structure, both within code limits. For the same design loads, the reduction in self‐weight from the steel‐concrete structure to the STH structure was 73.1%, whilst the floor depth was reduced by 17.2%, respectively. Parametric studies showed that the lateral response of STHs is generally improved with the effective thickness of the timber infill panel and is influenced by the panel layup. Increasing the shear wall length generally enhances the lateral stiffness, yet the overall performance is reduced with the increase of panel connections. The reduction in self‐weight, member sizes and replacement of the concrete with timber led to a reduction in embodied carbon of more than 32.7% whilst achieving similar structural performance.
On predicting the behaviour of an iron‐based shape memory alloy with the Ramberg‐Osgood model
Authors: Silvestru Vlad‐Alexandru , Deng Zhikang , Taras Andreas 
Published: September 2023

AbstractIron‐based shape memory alloys (Fe‐SMAs) exhibit the particular characteristic of remembering their initial shape after a phase transformation from austenitic to martensitic. This property, along with the high strength and ductility, recommends such materials for strengthening existing structures and designing highly efficient pre‐stressed structural elements. To achieve this, pre‐strained strips or rods made of Fe‐SMA are anchored to a parent structure in the first step. Afterwards, the activation of the Fe‐SMA is triggered through heating, and the material strives to return to its initial shape. Due to the anchoring, a tensile stress is generated in the Fe‐SMA upon cooling back to room temperature, while in the parent structure, a compressive stress field is obtained. The material behaviour of the Fe‐SMA under uniaxial loading is characterized by a rounded stress‐strain relationship without a pronounced yield point, similar to cold‐formed steels. Moreover, in many currently existing applications, the material is used both in the martensitic phase (pre‐strained form before activation) and in the austenitic phase (after activation). This contribution addressed the suitability of the two‐stage Ramberg‐Osgood model for predicting the uniaxial stress‐strain response of the Fe‐SMA. The key parameters were derived based on uniaxial tensile tests and the suitability of the proposed stressstrain curves for use in advanced finite element simulations was emphasized by simulating these tests.
Effective Modulus Method (EMM) concept applied to thin‐walled steel columns.
Authors: Prola Luís , Gala Pedro , Ruben Rui B. , Monteiro Cristiano , Simões Ana 
Published: September 2023

AbstractThe design of thin‐walled steel members, subjected to compressive stresses, requires complex analysis to account the interaction between local, distortional and global instabilities. There are simplified methodologies that allow simulating the effects of local and distortional post‐buckling behavior in usual structural members. The Effective Width Method (EWM) performs this simulation by changing the geometry of the cross‐section, being the pioneer methodology for the analysis of thin‐walled members. The Direct Strength Method (DSM) allows the determination of resistant forces through simple‐to‐use formulas, eliminating the calculation of the geometric properties of the section as required by the EWM. This paper presents the Effective Modulus Method (EMM) concept, which simulates the effects of local and distortional post‐buckling, to establish simplified design methodologies, desirably leading to more rigorous results than those provided by the available methodologies. In this approach, local and distortional post‐buckling effects are simulated by changing the mechanical characteristics (namely the modulus of elasticity) of the cross‐section of the members. Specifically, the article presents (i) the proposal of the new design methodology and (ii) the comparison with experimental and numerical results obtained by finite element shell models.
Memory‐Steel for Smart Steel Structures: A Review on Recent Developments and Applications
Authors: Wang Sizhe , Mohri Maryam , Li Lingzhen , Izadi Mohammadreza , Jafarabadi Ali , Pichler Niels , Ghafoori Elyas 
Published: September 2023

AbstractThis study reviews the recent works on the development and application of iron‐based shape memory alloy (Fe‐SMA), the so‐called memory‐steel, for steel structures. First, the studies on the material properties of Fe‐SMA in terms of shape memory effect and superelasticity are discussed. Next, the use of Fe‐SMA in prestressed strengthening of steel structures is explained, including the applications in strengthening of steel girders, connections, and fatigue crack repairs. Various strengthening solutions such as using mechanically anchored or adhesively‐bonded Fe‐SMA, as well as the studies on the behavior of the Fe‐SMA‐to‐steel bonded joints, are discussed. The use and application of Fe‐SMA for strengthening of a 113‐years steel bridge has been explained. In addition, studies on the innovative application of the Fe‐SMA as pipe couplers are presented. At the end, innovative ongoing research on the additive manufacturing of architected Fe‐SMA (4D‐printing) are discussed.
Second Generation of Near‐Infrared Cyanine‐Based Photocatalysts for Faster Organic Transformations
Authors: Sellet Nicolas , Clement‐Comoy Leo , Elhabiri Mourad , Cormier Morgan , Goddard Jean‐Philippe 
Published: September 2023

AbstractA second generation of cyanine‐based near‐infrared photocatalysts has been developed to accelerate organic transformations. Cyanines were prepared and fully characterized prior to evaluation of their photocatalytic activities. Catalyst efficiency was determined by using two model oxidation and reduction reactions. For the aza‐Henry reaction, cyanines bearing an amino group on the heptamethine chain led to the best results. For trifluoromethylation, the stability of the photocatalyst was found to be the key parameter for efficient and rapid conversion.
Design, Synthesis and Catalytic Activity of (Cyclopentadienone)iron Complexes Containing a Stereogenic Plane and a Stereogenic Axis
Authors: Fusi Giovanni Maria , Gandini Tommaso , Gazzola Silvia , Grell Toni , Colombo Valentina , Pignataro Luca , Piarulli Umberto 
Published: September 2023

AbstractHerein, we report the synthesis and characterization of several chiral (cyclopentadienone)iron complexes (CICs) featuring either two (R)‐BINOL‐derived stereoaxes or a combination of one (R)‐BINOL‐derived stereoaxis and a stereogenic plane. The stereoplane‐containing CICs were obtained as epimer mixtures, which were separated by flash column chromatography and assigned an absolute configuration based on XRD analysis, NMR and order of elution. The library was tested in the asymmetric hydrogenation of ketones showing good catalytic activity and a moderate stereoselectivity which, notably, is mostly imparted by the stereogenic plane. Indeed, the two epimers of each CIC possessing a stereoplane show opposite and equally strong stereochemical preference.
Plasma exchange plus glucocorticoids in the treatment of immune checkpoint inhibitor‐induced myocarditis: A case series and review
Authors: Ke Guibao , Chen Peian , Luo Jing , Huang Junlin , Shang Yuqi , Huang Yongzhang , Fu Ningying , Peng Hongbo , Li Yuan , Wang Bo , Guan Weijie , Peng Yonghua , Yu Xiaomin , Xiao Jie 
Published: September 2023

AbstractImmune checkpoint inhibitors (ICIs), including antiprogrammed cell‐death (PD)‐1/anti‐PD‐ligand (PDL‐1) monoclonal antibodies, are effective at improving the prognosis of patients with cancer. Among immune‐related adverse events, myocarditis associated with anti‐PD‐1/anti‐PD‐L1 antibodies is rare but lacks effective treatment and mortality is very high. In this study, the authors extracted data from the previous 8 years from electronic medical records housed in the hospital information system to identify patients hospitalized with myocarditis putatively caused by anti‐PD‐1/anti‐PD‐L1 tumor therapy. Clinical data from these patients are reported. Four patients who developed myocarditis after undergoing treatment with anti‐PD‐1/anti‐PD‐L1 antibodies for malignant tumors, all of whom responded favorably to therapy consisting of plasma exchange and glucocorticoids for myocarditis, and all patients improved and were discharged from hospital. Plasma exchange plus systemic glucocorticoids may be effective for treating anti‐PD‐1/anti‐PD‐L1 antibody‐induced myocarditis in patients with cancer.
Pure gravity traveling quasi‐periodic water waves with constant vorticity
Authors: Berti Massimiliano , Franzoi Luca , Maspero Alberto 
Published: September 2023

AbstractWe prove the existence of small amplitude time quasi‐periodic solutions of the pure gravity water waves equations with constant vorticity, for a bidimensional fluid over a flat bottom delimited by a space periodic free interface. Using a Nash‐Moser implicit function iterative scheme we construct traveling nonlinear waves which pass through each other slightly deforming and retaining forever a quasiperiodic structure. These solutions exist for any fixed value of depth and gravity and restricting the vorticity parameter to a Borel set of asymptotically full Lebesgue measure.
A BODIPY‐Based Molecular Rotor in Giant Unilamellar Vesicles: A Case Study by Polarization‐Resolved Time‐Resolved Emission and Transient Absorption Spectroscopy
Authors: Jha Keshav Kumar , Prabhakaran Amrutha , Spantzel Lukas , Sia Rengel Cane , Pérez Iván , Arellano‐Reyes Ruben Arturo , Elmanova Anna , Dasgupta Anindita , Eggeling Christian , Börsch Michael , Guthmuller Julien , Presselt Martin , Keyes Tia E. , Dietzek‐Ivanšić Benjamin 
Published: September 2023

AbstractBODIPY and BODIPY‐derived systems are widely applied as fluorophores and as probes for viscosity detection in solvents and biological media. Their orientational and rotational dynamics in biological media are thus of vital mechanistic importance and extensively investigated. In this contribution, polarization‐resolved confocal microscopy is used to determine the orientation of an amphiphilic BODIPY‐cholesterol derivative in homogeneous giant unilamellar vesicles (GUV) made from 1,2‐dioleoyl‐sn‐glycero‐3‐phosphocholine (DOPC). The BODIPY‐moiety of the molecule is placed near the polar headgroups, and the cholesterol moiety is embedded in the membrane along the acyl chain of the lipids. The rotational relaxation of fluorophore is conventionally investigated by time‐resolved emission anisotropy (TEA); and this method is also used here. However, TEA depends on the emission of the fluorophore and may not be useful to probe rotational dynamics of the non‐emissive triplet states. Thus, we employ femtosecond transient absorption anisotropy (TAA), that relies on the absorption of the molecule to complement the studies of the amphiphilic BODIPY in DCM and GUV. The photoinduced anisotropy of the BODIPY molecule in DCM decays tri‐exponentially, the decay components (sub‐5 ps, 43 ps and 440 ps) of anisotropy are associated with the non‐spherical shape of the BODIPY molecule. However, the anisotropy decay in homogenous GUVs follows a biexponential decay; which arises from the wobbling‐in‐a‐cone motion of the non‐spherical molecule in the high viscous lipid bilayer media. The observations for the BODIPY‐chol molecule in the GUV environment by TAA will extend to the investigation of non‐emissive molecules in cellular environment since GUV structure and size resembles the membrane of a biological cell.
Are environmental, social and governance (ESG) ratings reliable indicators of emissions outcomes? A case study of the airline industry
Authors: Cregan Charlie , Kelly J. Andrew , Clinch J. Peter 
Published: September 2023

AbstractWe analyse environmental ratings and emissions scores for commercial airlines from several major environmental, social and governance ratings providers. Specifically, we investigate whether emissions scores capture and predict absolute carbon emissions and emissions intensity levels, and whether scores are consistent across providers. This builds on existing literature by evaluating the predictive ability of ratings over significantly longer periods than past studies, examining within‐industry ratings disagreement for carbon emissions scores, and using an industry‐specific emissions intensity metric. Data covers 57 airlines from 2012 to 2021. Cross‐sectional and panel regressions are estimated to investigate whether ratings capture and predict carbon emissions data. We find no evidence that emissions scores capture or predict reported carbon emissions, and find that scores from different providers diverge substantially. Persistent shortcomings may undermine trust in the ratings industry, create trade‐offs between emissions abatement and ratings improvement, and hinder the incorporation of climate‐related information in capital allocation decisions.
Differences in predictors of incident heart failure according to atherosclerotic cardiovascular disease status
Authors: Dawson Luke P. , Carrington Melinda J. , Haregu Tilahun , Nanayakkara Shane , Jennings Garry , Dart Anthony , Stub Dion , Kaye David 
Published: September 2023

AbstractAimsHeart failure (HF) is a common cause of morbidity and mortality, related to a broad range of sociodemographic, lifestyle, cardiometabolic, and comorbidity risk factors, which may differ according to the presence of atherosclerotic cardiovascular disease (ASCVD). We assessed the association between incident HF with baseline status across these domains, overall and separated according to ASCVD status.Methods and resultsWe included 5758 participants from the Baker Biobank cohort without HF at baseline enrolled between January 2000 and December 2011. The primary endpoint was incident HF, defined as hospital admission or HF‐related death, determined through linkage with state‐wide administrative databases (median follow‐up 12.2 years). Regression models were fitted adjusted for sociodemographic variables, alcohol intake, smoking status, measures of adiposity, cardiometabolic profile measures, and individual comorbidities. During 65 987 person‐years (median age 59 years, 38% women), incident HF occurred among 784 participants (13.6%) overall. Rates of incident HF were higher among patients with ASCVD (624/1929, 32.4%) compared with those without ASCVD (160/3829, 4.2%). Incident HF was associated with age, socio‐economic status, alcohol intake, smoking status, body mass index (BMI), waist circumference, waist–hip ratio, systolic blood pressure (SBP), and low‐ and high‐density lipoprotein cholesterol (LDL‐C and HDL‐C), with non‐linear relationships observed for age, alcohol intake, BMI, waist circumference, waist–hip ratio, SBP, LDL‐C, and HDL‐C. Risk factors for incident HF were largely consistent regardless of ASCVD status, although diabetes status had a greater association with incident HF among patients without ASCVD.ConclusionsIncident HF is associated with a broad range of baseline sociodemographic, lifestyle, cardiometabolic, and comorbidity factors, which are mostly consistent regardless of ASCVD status. These data could be useful in efforts towards developing risk prediction models that can be used in patients with ASCVD.
Stock picking with machine learning
Authors: Wolff Dominik , Echterling Fabian 
Published: September 2023

AbstractWe analyze machine learning algorithms for stock selection. Our study builds on weekly data for the historical constituents of the S&P500 over the period from January 1999 to March 2021 and builds on typical equity factors, additional firm fundamentals, and technical indicators. A variety of machine learning models are trained on the binary classification task to predict whether a specific stock outperforms or underperforms the cross‐sectional median return over the subsequent week. We analyze weekly trading strategies that invest in stocks with the highest predicted outperformance probability. Our empirical results show substantial and significant outperformance of machine learning‐based stock selection models compared to an equally weighted benchmark. Interestingly, we find more simplistic regularized logistic regression models to perform similarly well compared to more complex machine learning models. The results are robust when applied to the STOXX Europe 600 as alternative asset universe.
Comparison of improved relevance vector machines for streamflow predictions
Authors: Adnan Rana Muhammad , Mostafa Reham R. , Dai Hong‐Liang , Mansouri Ehsan , Kisi Ozgur , Zounemat‐Kermani Mohammad 
Published: September 2023

AbstractThis study investigates the feasibility of relevance vector machine tuned with dwarf mongoose optimization algorithm in modeling monthly streamflow. The proposed method is compared with relevance vector machines tuned by particle swarm optimization, whale optimization, marine predators algorithms, and single relevance vector machine methods. Various lagged values of hydroclimatic data (e.g., precipitation, temperature, and streamflow) are used as inputs to the models. The relevance vector machine tuned with dwarf mongoose optimization algorithm improved the efficiency of single method in monthly streamflow prediction. It is found that the integrating metaheuristic algorithms into single relevance vector machine improves the prediction efficiency, and among the input combinations, the lagged streamflow data are found to be the most effective variable on current streamflow whereas precipitation has the least effect.
Exploring the nutritional and sensory potential of karonda fruit: Physicochemical properties, jam production, and quality evaluation
Authors: Rafique Nagina , Mamoona Turfa , Ashraf Nazish , Hussain Sheraz , Ahmed Faisal , Ali Shah Tawaf , Salamatullah Ahmad Mohammad , Mekonnen Amare Bitew , Bourhia Mohammed 
Published: September 2023

AbstractKaronda is an indigenous berry fruit known for its unique sour taste and high nutritional value. The lack of awareness portrays the fruit as undervalued and neglected, despite its vast nutritional benefits. The study aimed to explore the physicochemical properties of fresh and dried karonda fruit and its application in formulating a jam product. The physicochemical parameters, including pH, acidity, reducing sugars, moisture content, ash content, and others, were analyzed for both fresh and dried fruits. The phytochemical characteristics, such as vitamin C, antioxidant activity, total phenolic content, flavonoids, and anthocyanin content, were examined. The fruit extract was also subjected to antibacterial test using the well plate method. The fresh karonda berries have the highest levels of vitamin C, total phenolic, and anthocyanin contents, which can enhance the immune system and improve overall health. Jam formulations were created using varying proportions of karonda and apple pulp. These formulations were subsequently analyzed for their physicochemical, phytochemical, and sensory quality attributes. The results indicated that the pH, moisture content, ash content, ascorbic acid content, total phenolics, total flavonoid content, and antioxidant activity of the jams fell within the acceptable range as outlined by the Codex Alimentarius. Furthermore, the inclusion of apple pulp can enhance the taste and color of the jam while preserving its nutritional value. The sensory evaluation results revealed that T3, consisting of 50% karonda and 50% apple, followed by T4, comprising 25% karonda and 75% apple, were favored in terms of taste and color. This research offers significant insights for both the food industry and consumers, emphasizing the karonda fruit's potential as a valuable source of phytochemical compounds and its possible utilization in the creation of jams and other food products. This discovery promotes the consumption of this indigenous fruit due to its nutritional value and potential health benefits.
The effect of form and method of flavoring on microbiota of olive oil
Authors: Kacalova Tereza , Jarosova Alzbeta , Cwikova Olga , Franke Gabriela , Soumarova Tereza 
Published: September 2023

AbstractFlavoring olive oil is an increasing trend in olive oil processing. Growing consumer interest in flavored olive oils by natural material brings the need to evaluate the key limiting factors which is its microbiological stability. The present research compares the microbiological quality of olive oil flavored by 3 flavors (rosemary, garlic, and lemon), prepared by 3 methods to determine changes during storage. The comprehensive microbiological analyses (total number of microorganisms [TCM], anaerobic sporulates, yeasts, molds, bacteria of the family Enterobacteriaceae, bacteria of the genus Salmonella spp., Clostridium botulinum, and lactic acid bacteria) were conducted during 12 months of storage. The best results in TCM were observed in the oil flavored by fresh garlic (0.24 log CFU/mL). The highest counts of anaerobic sporulates were detected in the dried rosemary olive oil (1.10 log CFU/mL). The flavoring materials have significantly higher counts of microorganism than flavored oils (p < .05). The obtained results demonstrated that microorganisms are capable to survive in flavored olive oil and the method of flavoring can affect their growth in a selective way according to the chemical characteristics.