bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ocean waves in the southwestern Atlantic Ocean: An evaluation of global wave models
Authors: Salimbeni Alejandro , Dragani Walter , Alonso Guadalupe 
Published: May 2024

AbstractIn situ wave observations are essential for implementing coastal management strategies, designing coastal and offshore structures and understanding many processes related to sedimentology and marine biology. Despite their importance, these observations are rather scarce in the coastal areas of southeastern South America. Moreover, the existing observations are discontinuous, with several gaps and no simultaneity. Today, global wave models have improved their performance by providing reliable wave parameters with high resolution and coverage even at near‐shore areas. In this work, wave parameters from five global models were compared with significant wave heights (HS), peak periods (T) and propagation direction at nine sites located at the Southwestern South Atlantic Ocean. The global products used were WAVERYS (Global Reanalysis Wav 001 032), IOWAGA (WAVEWATCH III Hindcast – WW3 – Global grid – CFSR), ERA5 (ECMWF reanalysis), NOAA WW3 – 30‐year Hindcast Phase 2 and NCEP/EMC Operational global wave model GFS – Wave. Mean arithmetic error (Bias), root mean square deviation, scatter index and the Pearson linear correlation coefficient (r) were assessed at each location where wave observations were available. The best agreements for HS were obtained at the deepest sites located farther from the coast. Lower statistical metrics were achieved at coastal sites where the bathymetry is roughly represented by the global models. The calculated correlation coefficients were found to be lower for T than for HS. Overall, T was slightly underestimated by global models. Wave propagation directions were excellently represented by global models at offshore sites. The WAVERYS model is the global product that best represents the wave parameters in the study area, probably due to its higher spatial resolution (0.2°) and more realistic atmospheric forcing (ERA5). In addition, it satisfactorily represents the temporal variability of HS in open water as well as swell characteristics at the outer the Río de la Plata.
A comprehensive analysis of metabolomics and lipidomics in areca nut mediated oral submucous fibrosis progression through LCMS and Raman spectroscopy
Authors: Verma Tarun Prakash , Adhikari Sonali , Singh Siddharth , Rani Chanchal , Kumar Rajesh , Jha Hem Chandra 
Published: May 2024

AbstractHabitual consumption of areca/betel nut in Southeast Asia has been associated with oral submucous fibrosis (OSMF) and its malignant transformation to oral squamous cell carcinoma. The current study aimed to assess the molecular alterations in fibroblast cell lines after treatment with areca nut. Areca nut extract (ANE) was prepared and characterized for its active ingredient, arecoline. ANE‐treated cells were subjected to cell viability, proliferation, migration, morphologic changes, and transcript of OSMF genes (col1a1, col1a2, hsp47, timp1, timp2, timp3, and timp4). Further, liquid chromatography–mass spectrometry (LCMS) of cell lysate and Raman microspectroscopy (RMS) of fixed cells were performed for metabolomics/lipidomics and biomolecular alterations in the nucleus and periphery of ANE‐treated cells. We compared and integrated the data from both techniques and observed that the cells treated with ANE mimicked OSMF and could be used as an in vitro model. LCMS showed a significant alteration in 17 metabolites and 165 lipid molecules in the cells treated with ANE. Further, 40 molecules in the nucleus and 29 in the periphery were found to be altered in these cells when subjected to RMS. Molecules associated with pathways such as the transfer of acetyl groups into mitochondria, amino sugar metabolism, and the Warburg effect were modulated the most upon ANE treatment. Acetyl CoA was found to be common in most of the altered pathways. Besides, the pathways affecting carbohydrate metabolism were also altered significantly. Targeting these molecules and pathways can help to prevent the malignant transformation of OSMF.
Past, present and future of glycolipids from Ustilaginaceae – A review on cellobiose lipids and mannosylerythritol lipids
Authors: Münßinger Sini , Beck Alexander , Oraby Amira , Zibek Susanne 
Published: May 2024

AbstractThe glycolipids cellobiose lipids (CL) and mannosylerythritol lipids (MEL) are biosurfactants mainly synthesized by microorganisms of the Ustilaginaceae family. They have a large structural diversity, varying in their sugar moieties and the attached fatty acids, resulting in a prospectively broad range of applications. This literature review provides a detailed overview of known microbial producers of CL and MEL, and their respective metabolic pathways that result in different molecular structures. Further, current advances in the aerobic fermentative synthesis of the glycolipids and their purification methods are illustrated. All influencing factors identified to date with regard to the fermentation are highlighted in detail: For CL synthesis usually hydrophilic carbon sources are used as substrate, whereas hydrophobic carbon sources are usually metabolized to MEL. Nitrogen limitation was described as a major trigger for glycolipid synthesis and an acidic pH range was favored for increased CL production. An overview of applied fermentation parameters in recent publications (e.g., substrate‐concentrations, feeding approaches) demonstrates the future potential of CL and MEL production optimization. Foaming during fermentation is either combated or exploited by foam fractionation as the first purification step. The current purification processes focus on solvent extractions and chromatography in the laboratory scale and a need for development was identified for future scale‐up. Finally, environmental hotspots during CL and MEL production are presented and future optimization potentials are highlighted.
Dual ligand exchange of Cd‐free quantum dots and optimal control of ink formulation for improving the performance of all‐inkjet‐printed quantum dot light‐emitting diodes
Authors: Ha Jaekook , Lee Sooho , Park Myoungjin , Kim Heunggyu , Jung Yun Ku , Han Changyeol , Hwang Jaekwon , Park Gyehyun , Lee Hak June , Bae Wan Ki , Noh Seunguk , Kwak Donghoon , Kim Sehun , Yoon Yeo‐geon , Lee Changhee 
Published: May 2024

AbstractQuantum dot light‐emitting diodes (QD‐LEDs) have received significant attention as a next‐generation display technology aimed at large‐size panel production with lower manufacturing costs and excellent picture quality. Here, we demonstrated all‐inkjet‐printed 12.4‐in. full‐color QD‐LED display with the 182‐ppi resolution. The efficiency and lifetime of inkjet‐printed QD‐LEDs were improved through the ligand exchange of Cd‐free quantum dots (QDs), red and green InP and blue ZnSeTe QDs, and optimal control of ink formulation. Dual ligands enhanced colloidal stability and carrier transport properties. The introduction of appropriate additives in the mixed solvent system improved the inkjet processibility and the morphology of inkjet‐printed layers.
Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross‐sectional imaging
Authors: Davis Joshua M. K. , Niazi Muhammad Khalid Khan , Ricker Ansley B. , Tavolara Thomas E. , Robinson Jordan N. , Annanurov Bayram , Smith Kaylee , Mantha Rohit , Hwang Jimmy , Shrestha Ruchi , Iannitti David A. , Martinie John B. , Baker Erin H. , Gurcan Metin N. , Vrochides Dionisios 
Published: May 2024

AbstractBackground and ObjectivesDeep learning models (DLMs) are applied across domains of health sciences to generate meaningful predictions. DLMs make use of neural networks to generate predictions from discrete data inputs. This study employs DLM on prechemotherapy cross‐sectional imaging to predict patients' response to neoadjuvant chemotherapy.MethodsAdult patients with colorectal liver metastasis who underwent surgery after neoadjuvant chemotherapy were included. A DLM was trained on computed tomography images using attention‐based multiple‐instance learning. A logistic regression model incorporating clinical parameters of the Fong clinical risk score was used for comparison. Both model performances were benchmarked against the Response Evaluation Criteria in Solid Tumors criteria. A receiver operating curve was created and resulting area under the curve (AUC) was determined.ResultsNinety‐five patients were included, with 33,619 images available for study inclusion. Ninety‐five percent of patients underwent 5‐fluorouracil‐based chemotherapy with oxaliplatin and/or irinotecan. Sixty percent of the patients were categorized as chemotherapy responders (30% reduction in tumor diameter). The DLM had an AUC of 0.77. The AUC for the clinical model was 0.41.ConclusionsImage‐based DLM for prediction of response to neoadjuvant chemotherapy in patients with colorectal cancer liver metastases was superior to a clinical‐based model. These results demonstrate potential to identify nonresponders to chemotherapy and guide select patients toward earlier curative resection.
No significant change of tibiofemoral rotation after femoral rotational osteotomy in patients with patellofemoral instability
Authors: Jud Lukas , Klenecky Vanessa , Neopoulos Georgios , Ackermann Jakob , Fucentese Sandro F. , Vlachopoulos Lazaros 
Published: May 2024

AbstractPurposeAn increased value of tibiofemoral rotation is frequently observed in patients with patellofemoral instability or maltracking. Nevertheless, the appropriate approach for addressing this parameter remains unclear so far. One potential approach for correcting tibiofemoral rotation is femoral rotational osteotomy. We hypothesized that femoral rotational osteotomy affects tibiofemoral rotation.MethodsAll patients who underwent femoral rotational osteotomy between January 2018 and May 2022 were included in this study. Pre‐ and postoperative tibiofemoral rotation and the degree of femoral rotation were measured using two‐dimensional (2D) and three‐dimensional (3D) measurements. The effect of femoral rotation on tibiofemoral rotation was assessed.ResultsForty knees (18 right and 22 left) of 36 patients (28 females and 8 males) were included. Mean preoperative femoral torsion was 32.1 ± 10.1° in 2D and 30.8 ± 10.1° in 3D. Femoral rotation was performed by −14.1 ± 8.3° using 2D measurements and −15.0 ± 8.0° using 3D measurements. Tibiofemoral rotation changed from 9.9 ± 6.2° to 9.7 ± 6.0° (p = n.s.) in 2D, and from 10.2 ± 5.5° to 9.4 ± 5.4° (p = n.s.) in 3D.ConclusionTibiofemoral rotation showed no significant changes after femoral rotational osteotomy. Hence, femoral rotational osteotomy cannot be used to correct tibiofemoral rotation in addition to correcting the femoral version. Other surgical techniques need to be evaluated if correction of tibiofemoral rotation is required.Level of EvidenceLevel III.
Energy Dissipation Engineering for Widely Tunable (1.2–2.1 µm) Optical Parametric Oscillation in Integrated Chalcogenide Microresonators
Authors: Xia Di , Zhao Jiaxin , Cheng Huanjie , Wang Zifu , Huang Jianteng , Luo Liyang , Liu Dong , Yang Shuixian , Zhang Bin , Li Zhaohui 
Published: May 2024

AbstractWidely separated optical parametric oscillation (OPO) in an integrated Kerr microresonator offers a compact, highly coherent, and low‐power laser source, accessing previously inaccessible frequencies. Yet, extending the sideband of OPO from telecom to beyond 2 µm is still challenged by competing nonlinear effects and reduced Q factors at these extended wavelengths. In this work, efficient signal‐idler separations reaching 99 THz (1250–2130 nm) are demonstrated with a modest 8.1 mW threshold power, leveraging the heightened nonlinearity of GeSbS chalcogenide glass in the integrated microresonators. By pioneering energy dissipation control via pulley couplers, competing nonlinear phenomena are effectively suppressed, enabling the first demonstration of a widely separated OPO (wOPO) in the anomalous dispersion regime. Moreover, the wOPO features a robust existence region across a variety of device geometries, resilient to microresonator width alterations of up to 300 nm. These findings underscore the potential of integrated microresonators to adeptly bridge the telecom band to the MIR spectrum, achieving this transition with minimal power and controlled nonlinearities, a promising avenue for contemporary integrated photonics platforms utilizing heterogeneously integrated pump lasers.
Single‐Pulse‐Driven Frame Printing of Chromatic Pixels in Lithium Niobate Crystal
Authors: Zhang Jie , Wang Zhuo , Zhang Bo , Qiu Jianrong 
Published: May 2024

AbstractHighly efficient and programmable writing of multidimensional optical data is of great value for next‐generation high‐throughput information technologies but has been rarely achieved. Here, a one‐step frame printing of chromatic pixels in lithium niobate crystal by using a single ultrafast laser pulse is reported. In this strategy, a phase superposition‐based spatial light modulation strategy is applied to split a single ultrafast laser pulse into multiple son pulses with designated optical properties and spatial distribution patterns. It is demonstrated that these son pulses allow for massively creating micro‐amorphous phase transition zones with on‐demand structural features that can modulate the intrinsic birefringence of the crystal matrix and generate wavelength‐selective interference in the visible band to form pixel‐level chromatic patterns, namely, single‐pulse‐driven frame color printing. The created chromatic pixels can be encoded into computer‐recognizable data arrays to play a role in high‐efficiency multidimensional information recording. The presented approach enables fast and programmable information batch writing in 3D space and can serve as a versatile tool boosting next‐generation information optics.
Customers' political ideology and Self‐Service Technologies: Do political leanings predict usage of Self‐Service Technologies?
Authors: Malekshah Nasim N. , Kamran‐Disfani Omid , Mousavi Javad , Aghaie Sina 
Published: May 2024

AbstractSelf‐service technologies are widely used in business, and retailers and service firms invest significant resources to obtain and improve their Self‐Service Technology capabilities. To allocate resources efficiently, it is crucial for firms to predict Self‐Service Technology usage by their customers. However, predictors in the extant literature (e.g., customers' perceptions and personality traits) are not easy to objectively measure or obtain secondary data about. This research proposes and examines political ideology, for which fairly accurate and objective data can be obtained, as a novel predictor of customer Self‐Service Technology usage. In four studies in different contexts, the authors consistently find that political ideology is significantly related to customers' intention to use and actual use of Self‐Service Technologies; Liberals, on average, are found to be significantly more likely to use Self‐Service Technologies compared to conservatives. Moreover, process complexity is identified as a moderator of this effect. In addition, two mediators, customers' need for interaction and customers' perceived control, through which political ideology affects intention to use Self‐Service Technologies are uncovered. The manuscript concludes with a discussion of contributions and practical implications for managers and practitioners as well as avenues for future research.
Reactivation of methylation‐silenced PAX1 inhibits cervical cancer proliferation and migration via the WNT/TIMELESS pathway
Authors: Zhang Wenfan , Wang Huixi , Chen Shuang , Fan Xueting , Liu Yuqing , Shi Shujuan , Wang Rong 
Published: May 2024

AbstractAlthough aberrant methylation of PAX1 is closely associated with cervical cancer (CC), PAX1 methylation (PAX1m) and its role in CC remain to be elucidated. Here, we clarified the biological function of PAX1 in CC. First, PAX1m in ThinPrep cytologic test samples was measured via quantitative methylation‐specific PCR. The results showed that PAX1 promoter methylation levels were significantly increased in CC patients (p < 0.001). We also found that PAX1 promoter methylation levels were positively correlated with tumor purity but negatively correlated with immune‐infiltration via public databases. Then, CRISPR‐based methylation perturbation tools (dCas9‐Tet1) were constructed to further demonstrate that DNA methylation participates in the regulation of PAX1 expression directly. Gain‐ and loss‐of‐function experiments were used to show that PAX1 overexpression restrained proliferation, migration and improved cisplatin sensitivity by interfering with the WNT/TIMELESS axis in CC cells. Additionally, Co‐immunoprecipitation assays further confirmed the interaction between PAX1 and TCF7L2. Taken together, our results suggested that a tumor suppressor role of PAX1 in CC and that CRISPR‐based PAX1 demethylation editing might be a promising therapeutic strategy for CC.
Categorization of the amyotrophic lateral sclerosis population via the clinical determinant of post‐onset ΔFS for study design and medical practice
Authors: Ludolph Albert C. , Corcia Philippe , Desnuelle Claude , Heiman‐Patterson Terry , Mora Jesus S. , Mansfield Colin D. , Couratier Philippe 
Published: May 2024

AbstractThe amyotrophic lateral sclerosis (ALS) functional rating scale‐revised (ALSFRS‐R) has become the most widely utilized measure of disease severity in patients with ALS, with change in ALSFRS‐R from baseline being a trusted primary outcome measure in ALS clinical trials. This is despite the scale having several established limitations, and although alternative scales have been proposed, it is unlikely that these will displace ALSFRS‐R in the foreseeable future. Here, we discuss the merits of delta FS (ΔFS), the slope or rate of ALSFRS‐R decline over time, as a relevant tool for innovative ALS study design, with an as yet untapped potential for optimization of drug effectiveness and patient management. In our view, categorization of the ALS population via the clinical determinant of post‐onset ΔFS is an important study design consideration. It serves not only as a critical stratification factor and basis for patient enrichment but also as a tool to explore differences in treatment response across the overall population; thereby, facilitating identification of responder subgroups. Moreover, because post‐onset ΔFS is derived from information routinely collected as part of standard patient care and monitoring, it provides a suitable patient selection tool for treating physicians. Overall, post‐onset ΔFS is a very attractive enrichment tool that is, can and should be regularly incorporated into ALS trial design.
A sampling greedy average regularized Kaczmarz method for tensor recovery
Authors: Zhang Xiaoqing , Guo Xiaofeng , Pan Jianyu 
Published: May 2024

AbstractRecently, a regularized Kaczmarz method has been proposed to solve tensor recovery problems. In this article, we propose a sampling greedy average regularized Kaczmarz method. This method can be viewed as a block or mini‐batch version of the regularized Kaczmarz method, which is based on averaging several regularized Kaczmarz steps with a constant or adaptive extrapolated step size. Also, it is equipped with a sampling greedy strategy to select the working tensor slices from the sensing tensor. We prove that our new method converges linearly in expectation and show that the sampling greedy strategy can exhibit an accelerated convergence rate compared to the random sampling strategy. Numerical experiments are carried out to show the feasibility and efficiency of our new method on various signal/image recovery problems, including sparse signal recovery, image inpainting, and image deconvolution.
Optimal control results for second‐order semilinear integro‐differential systems via resolvent operators
Authors: Singh Anugrah Pratap , Singh Udaya Pratap , Shukla Anurag 
Published: May 2024

AbstractIn the framework of a second‐order semilinear integro‐differential control system in Hilbert spaces, the paper provides sufficient conditions for proving the existence of optimal control. The Banach fixed point theorem is used to investigate the existence and uniqueness of mild solutions for the proposed problem. Additionally, it is shown that, under specific assumptions, there exists at least one optimal control pair for the Lagrange's problem as presented in the article. An example for validation is included in the paper to further support the theoretical findings.
The long‐run effects of temporary protection from deportation
Authors: Harris Jorgen M. , Jerch Rhiannon 
Published: May 2024

AbstractThis paper estimates the effect of Temporary Protected Status (TPS), a temporary legalization policy, on the incomes and property ownership of Salvadoran recipients over 20 years. We compare likely undocumented Salvadoran immigrants eligible for TPS to a control group of likely undocumented immigrants ineligible for TPS in an event study design that allows us to observe the policy's effects over 2 decades. We find that earnings, homeownership, and use of a car increased considerably for at least 15 years following the granting of TPS. This suggests that even temporary and limited legal status can have substantial and sustained benefits for recipients.
A study on antibacterial and anti‐inflammatory activity of xylitol‐based polymeric nano‐bioactive glass nanocomposites
Authors: Shalini A. , Deepa K. , Meenakshi S. , Al‐Ansari Mysoon M. , Alhumaid Latifah , Rajendran K. , Dixit Saurav , Lo Huang‐Mu 
Published: May 2024

AbstractBioactive glasses have been shown effective in promoting bone healing by interacting with the body, gradual degradation, and supporting new bone growth. They present a promising option for therapies aimed at regenerating bone tissue. In this study, we developed a novel material, PXMA/n‐BG, by combining xylitol, maleic acid, and adipic acid, and incorporating nano‐bioactive glass, all synthesized without the use of a catalyst. The sol–gel method was used to fabricate the n‐BG (SiO2–CaO–P2O5). The incorporation of n‐BG into the polymer was found to enhance its biocompatibility and effectiveness for orthopedic applications. The synthesized polymer and its nanocomposite were characterized by FTIR, 1H NMR, 13C NMR, DSC, GPC, UTM, XRD and HR‐SEM. X‐ray diffraction and high‐resolution scanning electron microscopy are utilized to investigate the structure and surface of the n‐BG and polymeric composite material. The strength and flexibility of a plastic material with tiny particles mixed in were tested using a universal testing machine. We examined the elemental composition and thermal stability of n‐BG through specialized testing like energy‐dispersive X‐ray analysis (EDX) and thermogravimetric analysis (TGA). The research focused on the potential of xylitol‐based polymer and its nanocomposite to inhibit the growth of harmful bacteria in food. We conducted experiments to determine the efficacy of the antibacterial substance against various bacteria strains. The antibacterial potential of the extracts was assessed by the agar diffusion method using MHA plate. Furthermore, we investigated the ability of the material and its nanoparticles to reduce inflammation.