bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deciphering Long‐Term Economic Growth: An Exploration With Leading Machine Learning Techniques
Authors: Mar Oo Zin , Lin Ching‐Yang , Kakinaka Makoto 
Published: January 2025

ABSTRACTExisting studies mainly focus on short‐term economic forecasts, but research on long‐term projections, particularly for periods spanning 6–10 years, remains insufficient, despite its importance. This gap may arise from the limitations of traditional linear methods in prediction tasks and pattern recognition, whereas machine learning techniques may help overcome these challenges. To address this, we employ five widely used machine learning models—artificial neural networks (ANN), random forest regression (RF), gradient boosting regression (GBR), extreme gradient boosting (XGBoost), and support vector regression (SVR)—using cross‐country data from 109 countries between 1961 and 2019. To ensure robustness, we employ two distinct sampling methods for model validation. Our findings reveal that the ANN model outperforms others, particularly in long‐term predictions (6–10 years), with an average out‐of‐sample prediction ‐squared of 0.89. Furthermore, analyses using permutation feature importance (PFI) and SHapley Additive exPlanations (SHAP) methods indicate that while current growth rates are critical for short‐term forecasts (1–3 years), two primary variables representing a country's foundational characteristics—real GDP per capita and “country‐feature,” akin to a country dummy variable—are crucial for long‐term predictions (4–10 years). This outcome demonstrates the ANN model's capacity to capture each country's unique characteristics and, through its highly non‐linear nature, successfully execute complex, long‐range forecasts. These results unveil the remarkable potential of machine learning in the realm of long‐term economic forecasting.
Omega‐3 Fatty Acids, Lecithin, Sterols, Vitamins and Lipid Oxidation of Olein and Super Olein Fractions of Fish Oil Produced by Winterization
Authors: Khaliq Aiza , Hafeez‐ur‐Rehman Muhammad , Abbas Farzana , Nadeem Muhammad , Rahim Muhammad Abdul , Al‐Asmari Fahad , Ramadan Mohamed Fawzy , Zongo Eliasse 
Published: January 2025

ABSTRACTTo concentrate omega‐3 fatty acids (n‐3) in fish oil (FO), olein and super olein fraction (OF) of FO were produced by winterization. For this purpose, FO was slowly cooled to −50°C (24 h), the mixture of crystallized and non‐crystallized phases was separated, filtrate was coded as OF (yield 32%), 35% of OF was kept for storage study and analytical purpose, remaining 65% was further slowly cooled down to −75°C (24 h) and filtered, filtrate was coded as super olein (SF, yield 23%). GC–MS analysis showed that unsaturated fatty acids increased due to successive winterization. In OF, C18:1, C18:2, C18:3, C20:1, C20:5 (EPA), C22:1, C22:2 and C22:6 (DHA) increased to 7.85%, 19.52%, 54.16%, 17.82%, 16.31%, 41.02%, 32.43%, and 29.89% than parent FO. In SF, C18:1, C18:2, C18:3, C20:1, C20:5, C22:1, C22:2 and C22:6 increased to 9.84%, 24.35%, 61.09%, 32.10%, 39.96%, 56.81%, 39.02%, and 48.94% than parent FO. Total phenolic contents (TPC) of FO, OF, and SF were 6.59, 12.67 and 19.72 (mgGAE/mL). Lecithin content of FO, OF, and SF were 1.29%, 0.575%, and 0.19%. In SF, desmosterol, cholesterol, stigma sterol and sitosterol were 91.57, 22.51, 12.67 and 112.18 mg/100 g. Total antioxidant capacity (TAC) of FO, OF, and SF was 49.32%, 64.27%, and 85.47%. DPPH values of FO, OF, and SF were 32.14%, 39.87%, and 46.41%. Winterization significantly raised vitamin A and E in OF and SF; vitamin A content in FO, OF, and SF (0‐day) were 46.28, 67.94, and 116.48 IU; vitamin E content in FO, OF, and SF (0‐day) were 1238.95, 1897.65, and 2375.11 mg/100 g. At 0‐day, peroxide value (POV) of FO, OF and SF was 0.22, 0.24 and 0.25 (MeqO2/Kg) with no variation in sensory characteristics. The results of this study proved that n‐3 could be increased in olein and super OFs of FO with reasonable oxidative stability.
Development of Rice Cake Fortified With Acorn Flour and Inulin Using Superheated Steam Technology: Analysis of Physicochemical, Structural, and Baking Properties
Authors: Mokhtari Zohreh , Ziaiifar Aman Mohammad , Alami Mehran , Kashaninejad Mahdi , Aghajanzadeh Sara , Dezyani Adel , Arjeh Edris 
Published: January 2025

ABSTRACTSteam injection, especially in a superheated state, increases the rate of heat transfer and improves the quality of the baked products. In this research, different baking methods (forced convention, superheated steam, and superheated steam‐assisted) at different temperatures (140°C, 160°C, 180°C) were applied to produce a new formulated rice cake containing acorn flour and inulin. The findings revealed that the level of moisture inside the oven directly influences the volume of the cake. The cake prepared with supersaturated steam exhibited the lowest volume (67.86 cm3 in 25 min, 160°C) and the raw appearance. Whereas, the highest volume (74.87 cm3 in 25 min, 160°C) is attained when supersaturated steam is used in conjunction with hot air. The browning index constant in superheated steam‐assisted (0.027 min−1) was significantly higher than that in forced convection (0.007 min−1) and superheated steam (0.006 min−1) treatments. A delayed superheated steam‐assisted method (stream injection after 10 min of baking) improved the crust browning (BI = 120) due to accelerated Maillard reactions and caramelization, while the moist heat can also contribute to a more vibrant and glossy appearance by promoting a smooth, hydrated surface layer. In conclusion, the application of superheated steam and forced convention methods simultaneously during appropriate baking conditions brought better expansion volume, lower hardness and darker crust with suitable moisture content.
Genetically Predicted Gene Expression Effects on Changes in Red Blood Cell and Plasma Polyunsaturated Fatty Acids
Authors: Khankari Nikhil K. , Su Timothy , Cai Qiuyin , Liu Lili , Jasper Elizabeth A. , Hellwege Jacklyn N. , Murff Harvey J. , Shrubsole Martha J. , Long Jirong , Edwards Todd L. , Zheng Wei 
Published: January 2025

ABSTRACTPolyunsaturated fatty acids (PUFAs) including omega‐3 and omega‐6 are obtained from diet and can be measured objectively in plasma or red blood cells (RBCs) membrane biomarkers, representing different dietary exposure windows. In vivo conversion of omega‐3 and omega‐6 PUFAs from short‐ to long‐chain counterparts occurs via a shared metabolic pathway involving fatty acid desaturases and elongase. This analysis leveraged genome‐wide association study (GWAS) summary statistics for RBC and plasma PUFAs, along with expression quantitative trait loci (eQTL) to estimate tissue‐specific genetically predicted gene expression effects for delta‐5 desaturase (FADS1), delta‐6 desaturase (FADS2), and elongase (ELOVL2) on changes in RBC and plasma biomarkers. Using colocalization, we identified shared variants associated with both increased gene expression and changes in RBC PUFA levels in relevant PUFA metabolism tissues (i.e., adipose, liver, muscle, and whole blood). We observed differences in RBC versus plasma PUFA levels for genetically predicted increase in FADS1 and FADS2 gene expression, primarily for omega‐6 PUFAs linoleic acid (LA) and arachidonic acid (AA). The colocalization analysis identified rs102275 to be significantly associated with a 0.69% increase in total RBC membrane‐bound LA levels (p = 5.4 × 10−12). Future PUFA genetic studies examining long‐term PUFA biomarkers are needed to confirm our results.
Community Implementation and Evaluation of the Chicago Parent Program
Authors: Ammerman Robert T. , Zion Cynthia , Cleary Olivia M. , Raglin Bignall Whitney J. , Mara Constance A. , Theuerling Alyssa M. , Offenbacker Emily J. , Triplett Tatyanna A. , Mitchell Monica J. , Brokamp Cole , Smith Rosalind R. , Stark Lori J. 
Published: January 2025

ABSTRACTThe purpose of this study was to describe and evaluate the implementation of the Chicago Parent Program (CPP) in a community setting. Included are details of the co‐designed implementation by academic and community partners, and parenting and child behavior outcomes. Two hundred eighty caregivers of children aged 2–5 years participated in the CPP in seven community sites. Measures of parenting and child behavior were administered at pre‐intervention, post‐intervention, and 3‐month follow‐up. Caregivers reported broad improvements in parenting and child behavior from pre‐intervention through 3‐month follow‐up. No effects were found for attendance, COVID‐19 exposure, and remote versus in‐person delivery. The CPP was successfully implemented in a community setting and demonstrated significant changes in parenting and child behavior.
Naturally Acquired Genotype‐Specific HPV Seroreactivity and Subsequent HPV Detection Among Heterosexual Partners
Authors: Ng Kristy , El‐Zein Mariam , Wissing Michel D. , Burchell Ann N. , Tellier Pierre‐Paul , Coutlée François , Waterboer Tim , Franco Eduardo L. 
Published: January 2025

ABSTRACTThe protective effect of naturally acquired humoral immunity against human papillomavirus (HPV) infection remains unclear. To investigate the role of infection‐induced antibodies on HPV detection in heterosexual partners, we used data from 392 unvaccinated couples (females aged 18–25 years attended up to six visits over 2 years; males aged 17–37 years attended up to two visits 4 months apart) enrolled (2005–2011) in Montreal. Genital and blood samples were HPV DNA genotyped and tested for L1 antibody titers of 14 HPV genotypes. Analyses considered female‐HPV units (n = 4914 based on 351 couples) and male‐HPV units (n = 4214 based on 301 couples); each female and male, respectively, contributed up to 14 observations corresponding to 14 genotypes. Modified Cox and logistic regressions estimated hazard and odds ratios (HR/OR) and 95% confidence intervals (CIs) for genotype‐specific HPV detections by partner serostatus (high/low: ≥/< baseline median antibody titers, 392 couples). There were 919 and 231 cumulative HPV detections among female‐HPV and male‐HPV units, respectively. Risk of HPV detections in females (HR = 1.05, CI: 0.90–1.22) and males (OR = 1.31, CI: 0.97–1.77) was similar between those with partners of high versus low serostatus. Constraining to baseline HPV‐negative participants with HPV‐positive partners yielded unchanged results. This lack of association suggests that naturally developed HPV antibodies do not protect sexual partners from infection.
Fast‐Tuning and Narrow‐Linewidth Hybrid Laser for FMCW Ranging
Authors: Liu Chuxin , Guo Yuyao , Zhou Yanyang , Li Xinhang , Lu Liangjun , Li Yu , Bao Wansu , Chen Jianping , Zhou Linjie 
Published: January 2025

AbstractPossessing a long coherent length, high repetition rate, and fast frequency‐sweeping laser sources with narrow linewidth is crucial components in coherent frequency‐modulated continuous‐wave (FMCW) light detection and ranging (LiDAR) systems. While these attributes are realized individually in standalone devices, the integration of these features into a single laser represents a significant advancement in the field. In this study, a hybrid integrated laser that achieves a linewidth of 9 kHz, a wide frequency‐modulation response extending up to 68 MHz, and a low chirp nonlinearity of 4.3 × 10−6 at a repetition rate of 100 kHz is presented. The achievement of this performance is made possible through self‐injection locking of a DFB laser diode to a low‐loss Si3N4 micro‐ring resonator on the dual‐layer Si3N4‐Si platform. Through the application of a fast‐converging pre‐distortion algorithm and a driving signal with 150 mV amplitude, a linear FMCW signal with 1.05 GHz frequency excursion is generated. Exploiting the wideband FM response of the PIN phase shifter, a frequency‐agile FMCW light source engine capable of generating linear FMCW signals at repetition rates of up to 2 MHz is successfully developed. Leveraging these cutting‐edge capabilities, an FMCW LiDAR ranging system for target detection across varying distances, achieving a high ranging precision of 0.4 cm for targets at 6.2 m, is implemented. This innovative work not only demonstrates the feasibility of integrating multiple advanced functionalities into a single laser but also demonstrates the potential for enhancing the resolution and precision of FMCW LiDAR systems for a wide range of applications.
Nanoarchitectonics of a Skin‐Like Polymeric Hydrogel with High Anti‐Swelling and Self‐Adhesion Performance for Underwater Communication
Authors: Li Yunjin , Lu Xinyi , Zhang Yihan , Zhu Xu , Ma Li , Ma Ning , Zhang Xinyue , Zhang Haibing , Abd‐El‐Aziz Alaa S. 
Published: January 2025

AbstractHydrogels are flexible materials characterized by a 3D network structure, which possess high water content and adjustable physicochemical properties. They have found widespread applications in tissue engineering, electronic skin, drug delivery, flexible sensors, and photothermal therapy. However, hydrogel networks often exhibit swelling behavior in aqueous environments, which can result in structural degradation and a loss of gel performance. In this study, polyacrylic acid is utilized as the primary network structure with the incorporation of the natural polymer chitosan. Furthermore, a conductive hydrogel exhibiting good mechanical strength similar to human skin and excellent anti‐swelling properties is developed by integrating phytic acid into the hydrogel network. The as‐prepared hydrogels exhibited maximum swelling in pure water, achieving an equilibrium swelling rate of 15%. Additionally, a dopamine‐grafted polyacrylic acid binder is synthesized through a coupling reaction to enhance the adhesion of the hydrogels to various substrates. The hydrogels demonstrated strong adhesion properties with different substrates. Whether in the air or underwater, the hydrogel sensor effectively monitors human movement behaviors. Furthermore, by utilizing the sensing signals to send Morse code, the hydrogel sensor can facilitate underwater communication. This type of hydrogel sensor is anticipated to play a significant role in wearable sensing applications and underwater communication.
Evaluation and Future Prospects of Data‐Driven Intelligence‐Based Framework for Predicting Cyclic Behavior of Reconstituted Sand
Authors: Jas Kaushik , Jana Amalesh , Dodagoudar G. R. 
Published: January 2025

ABSTRACTMost of the robust artificial intelligence (AI)‐based constitutive models are developed with synthetic datasets generated from traditional constitutive models. Therefore, they fundamentally rely on the traditional constitutive models rather than laboratory test results. Also, their potential use within geotechnical engineering communities is limited due to the unavailability of datasets along with the model code files. In this study, the data‐driven constitutive models are developed using only laboratory test databases and deep learning (DL) techniques. The laboratory database was prepared by conducting cyclic direct simple shear (CDSS) tests on reconstituted sand, that is, PDX sand. The stacked long short‐term memory (LSTM) network and its variants are considered for developing the predictive models of the shear strain (γ [%]) and excess pore pressure ratio (ru) time histories. The suitable input parameters (IPs) are selected based on the physics behind the generation of ru and γ (%) of the liquefiable sands. The predicted responses of γ (%) and ru agree well in most cases and are used to predict the dynamic soil properties of the PDX sand. The same modeling framework is extended for other sand and compared with existing AI‐based constitutive models to verify its practical applicability. In summary, it is observed that though the trained models predicted the time histories of ru and γ reasonably well; however, they struggled to predict the hysteresis loops at higher cycles. Therefore, more research is needed to verify and enhance the predictability of existing AI‐based models in the future before using them in practice for simulating cyclic response.
Relationship between community characteristics and impact of calorie labeling on fast‐food purchases
Authors: Dupuis Roxanne , Bragg Marie A. , Heng Lloyd , Hafeez Emil , Wu Erilia , Mijanovich Tod , Weitzman Beth C. , Rummo Pasquale E. , Elbel Brian 
Published: January 2025

AbstractObjectiveThe objective of this study was to evaluate potential sources of heterogeneity in the effect of calorie labeling on fast‐food purchases among restaurants located in areas with different neighborhood characteristics.MethodsIn a quasi‐experimental design, using transaction data from 2329 Taco Bell restaurants across the United States between 2008 and 2014, we estimated the relationships of census tract‐level income, racial and ethnic composition, and urbanicity with the impacts of calorie labeling on calories purchased per transaction.ResultsCalorie labeling led to small, absolute reductions in calories purchased across all population subgroups, ranging between −9.3 calories (95% CI: −18.7 to 0.0) and −37.6 calories (95% CI: −41.6 to −33.7) 2 years after labeling implementation. We observed the largest difference in the effect of calorie labeling between restaurants located in rural compared with those located in high‐density urban census tracts 2 years after implementation, with the effect of calorie labeling being three times larger in urban areas.ConclusionsFast‐food calorie labeling led to small reductions in calories purchased across all population subgroups except for rural census tracts, with some subgroups experiencing a greater benefit.
Malignancies and immunoglobulin G4‐related disease
Authors: Li Jingna , Zhang Wen 
Published: January 2025

AbstractImmunoglobulin G4‐related disease (IgG4‐RD) is a systemic fibro‐inflammatory disease characterized by tumefactive lesions. Beyond the role of the disease as a cancer mimic, studies over the past decade have demonstrated that IgG4‐RD is associated with increased cancer risk. A search of articles, case reports, and reviews concerning malignancies in patients with IgG4‐RD was conducted on PubMed, Web of Science, and Google Scholar. The site of cancer development is not always affected by IgG4‐RD. The prevalence of solid cancers varies among populations. Moreover, B‐cell neoplasms constitute a proportion of the malignancies linked to this disease. The precise mechanism of oncogenesis in IgG4‐RD is ambiguous. Several mechanisms may be relevant to the increased cancer risk in patients with IgG4‐RD, including chronic inflammation, IgG4‐positive plasma cell infiltration, and the involvement of follicular helper T cells, macrophages, and plasmacytoid dendritic cells in tumor immunity. The risk factors include male sex, older age, smoking status, occupational exposure, disease recurrence, and involvement of specific organs. Malignancies in patients with IgG4‐RD are associated with a poor prognosis, underscoring the importance of cancer risk management and regular screening during follow‐up. The precise mechanisms linking IgG4‐RD to malignancy remain unclear and warrant further research. Regular cancer screening should be prioritized during follow‐up to facilitate early detection of malignancies.
Pourbaix Diagrams of Lawsone Derivatives
Authors: Zambrano‐González Yaffet , Cobos Alinne , Flores‐Leonar Martha M. , Ávila‐Zárraga Gustavo , Laguna Humberto G. 
Published: January 2025

AbstractTheoretical Pourbaix diagrams (PDs) were obtained for lawsone and five different polyfunctional derivatives, including electron withdrawing and electron donating groups. Systematic theoretical studies were performed to determine a feasible isomerization mechanism of lawsone. A discussion of the effect of the substituents on the PDs and the possibility of their application as electrolytes in aqueous redox flow batteries is provided. Finally, the synthesis of the five studied derivatives is presented in the appendix.
Green Synthesis and Application of Zinc Oxide (ZnO) Nanoparticles from Cenchrus setigerus Vahl in Herbal Handwash as Antimicrobial Reducer
Authors: Abbas Muzammal , Hanif Uzma , Nasir Areeba , Zahid Fakiha , Liaqat Iram , Ali Shaista , Bhanot Deepak , Ataya Farid S. , Anwar Aneela , Khan Shahab 
Published: January 2025

AbstractIn the current study, ZnO nanoparticles (ZnO NPs) were synthesized via green chemistry protocols from the Cenchrus setigerus Vahl plant leaf extracts. For the synthesis of ZnO NPs, about 100 mM zinc sulfate heptahydrate salt (ZnSO4·7H2O) was taken in an aqueous solution along with Cenchrus setigerus Vahl extracts as a reducing and capping agent. The reaction mixture was stirred constantly till the color change was observed. The synthesized ZnO NPs were dried and characterized by UV, FT‐IR, PXRD, SEM, and EDX. From the results, the calculated particle size was about 9.91 nm, with a crystalline nature. In UV–visible it shows characteristics peak at the region of 372 nm, while orthorhombic structure was predicted from their SEM analysis. Using the agar well diffusion method, the antibacterial potentials were determined for the synthesized ZnO NPs at three different concentrations: 500, 700, and 900 µg/mL, against Bacillus subtilis, S. aureus, E. coli, and K. pneumoniae. Similarly, the antibacterial potentials were evaluated for herbal handwash, synthesized from the methanolic extract of Ocimum basilicum and Azadirachta indica. The comparison of ZnO NPs incorporated herbal handwash, and herbal handwash was performed against skin pathogens, which were found more beneficial.
Chemical Properties of Cerium (III) Hexacyanoferrate (II/III) on Graphene Oxide Chemically Modified with a PAMAM Dendrimer and Application as a Sensor for l‐Dopamine Detection
Authors: Bonfim Kely Silveira , Peixoto Murilo dos Santos , do Carmo Devaney Ribeiro 
Published: January 2025

AbstractA novel functional platform comprising graphene oxide (GO) and a PAMAM dendrimer (GO‐PAMAM) is presented herein, subsequently modified with Ce(III) ions and potassium hexacyanoferrate (III) to form a complex incorporating hexacyanoferrate (II/III) redox species. The resulting hybrid material was characterized by different spectroscopic techniques such as X‐ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), X‐ray diffraction (XRD), and cyclic voltammetry studies. Electrochemical assessments, specifically cyclic voltammetry, demonstrated the suitability of the modified electrode for the electrocatalytic detection of l‐dopamine. A linear response was observed from 2.0 × 10⁻⁶ to 4.0 × 10⁻⁵ mol L⁻¹. The limit of detection was 4.09 × 10⁻⁷ mol L⁻¹ with a standard deviation of ±3% (n = 3), while amperometric sensitivity was determined as 195.28 mA/mol L⁻¹.
Empirical similarity for revealing the US interest rate policy: modeling case-based decisions of the FOMC
Authors: Golosnoy Vasyl , Okhrin Yarema , Roos Michael W. M. 
Published: January 2025

Abstract
We model the Fed’s decisions about interest rate adjustments via the flexible nonlinear empirical similarity (ES) concept which relies on ideas of case-based reasoning particularly suitable for decision making under uncertainty. We postulate that the Fed’s adjustment decision in a given situation should be close to those in similar economic situations. We evaluate the empirical fit of the ES concept in comparison with the linear reaction function related to the Taylor rule for the period from 1987 till 2008. We identify and analyze critical time points particularly for those Fed decisions which were conducted in rather uncertain economic environments.