bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of personality traits in business intentions among active women entrepreneurs
Authors: Duy Luong V. Q. 
Published: August 2024

AbstractEntrepreneurs and entrepreneurship are important for economic growth and development. Yet insufficient attention has been paid to psychological characteristics such as personality characteristics as factors for women entrepreneurship in emerging economies. This study aims to investigate the associations between women entrepreneurs' business intentions and their personality traits. This study utilizes binomial logistic regression for hypothesis testing using the unique data set from a survey of small and medium manufacturing enterprises located in nine cities and provinces from three main geographical regions of Vietnam. The findings show that personality factors can be important for women entrepreneurs' business intentions. Unlike some other studies, the personality trait conscientiousness is found negatively correlated with women's entrepreneurial intentions. External factors such as local institutional quality and business networks have been found to stimulate women entrepreneurial intentions. The finding also raises concerns over the undergraduate training programs that need to be improved to make future students more confident in planning their business intentions if entrepreneurship is their career choice. The findings provide a key contribution to the existing literature of entrepreneurship in the context of an emerging economy where studies on women's entrepreneurship are scarce.
Mental health apps for depression: A meta‐analysis
Authors: Luo Ye , Stice Bonnie L. , Lenz A. Stephen 
Published: August 2024

AbstractThe rapid growth of mobile technology and the increasing prevalence of mental health issues highlight the need to investigate the potential of mobile apps for promoting mental health. In this study, we conducted a comprehensive meta‐analysis to systematically review and synthesize research studies published between 2002 and 2021. The search yielded 46 eligible studies (26 comparative studies and 20 within‐group studies) evaluating the effectiveness of mental health apps (MHAs) in treating depression, with outcome data from 4207 participants. Overall, analyses showed small (for comparative studies) and medium (for within‐group studies) effect sizes favoring MHAs reducing depression symptoms. In within‐group studies, participants had significantly more treatment gain with MHA interventions lasting over 4 weeks, with over 8‐week intervals associated with the greatest reductions in depression symptoms. Gender, ethnicity, intervention type, and app type are not significant moderators.
A phase 1 trial of venetoclax in combination with liposomal vincristine in patients with relapsed or refractory B‐cell or T‐cell acute lymphoblastic leukemia: Results from the ECOG‐ACRIN EA9152 protocol
Authors: Palmisiano Neil D. , Lee Ju‐Whei , Claxton David F. , Paietta Elisabeth M. , Alkhateeb Hassan , Park Jae , Podoltsev Nikolai A. , Atallah Ehab L. , Schaar Dale G. , Dinner Shira N. , Webster Jonathan A. , Luger Selina M. , Litzow Mark R. 
Published: August 2024

AbstractIntroductionRelapsed or refractory (r/r) acute lymphoblastic leukemia (ALL) or lymphoblastic lymphoma (LL) remains a therapeutic challenge. Preclinical data in both B‐ and T‐ALL suggests synergy of venetoclax (VEN) with vincristine (VCR). We designed a phase I/II trial (EA9152) of the combination of L‐VCR and VEN for patients with r/r B‐or T‐cell ALL or LL. Here, we report the safety and efficacy outcomes of the phase I portion of this trial (NCT03504644).MethodsIn a 3+3 dose escalation design, r/r ALL subjects were given single‐agent VEN doses reaching 400, 600, or 800 mg for the three respective dose levels. Weekly L‐VCR at 2.25 mg/m2 IV was started on D15 of cycle 1. The primary phase I objective was to determine the maximum tolerated dose (MTD) of the combination.ResultsAmong the 18 patients in phase I, grade ≥ 3 treatment‐related adverse events were reported in 89% of treated patients. Two patients (two of three) at dose level 3 experienced dose‐limiting toxicities. Therefore, the MTD of the combination was determined to be dose level 2 (VEN 600 mg). Twenty‐two percent of evaluable patients (N = 4) achieved a complete response, with two of them showing no evidence of measurable residual disease (MRD).ConclusionThe combination of VEN and L‐VCR was found to be safe for patients with r/r ALL and encouraging preliminary efficacy, including MRD negative responses. With the removal of L‐VCR from the US market, the phase 2 portion of this trial is actively enrolling with vincristine sulfate.
Understanding the Evolution and Transmission Dynamics of Antibiotic Resistance Genes: A Comprehensive Review
Authors: Hossain A. K. M. Zakir , Chowdhury A. M. Masudul Azad 
Published: August 2024

ABSTRACTAntibiotic resistance poses a formidable challenge to global public health, necessitating comprehensive understanding and strategic interventions. This review explores the evolution and transmission dynamics of antibiotic resistance genes, with a focus on Bangladesh. The indiscriminate use of antibiotics, compounded by substandard formulations and clinical misdiagnosis, fuels the emergence and spread of resistance in the country. Studies reveal high resistance rates among common pathogens, emphasizing the urgent need for targeted interventions and rational antibiotic use. Molecular assessments uncover a diverse array of antibiotic resistance genes in environmental reservoirs, highlighting the complex interplay between human activities and resistance dissemination. Horizontal gene transfer mechanisms, particularly plasmid‐mediated conjugation, facilitate the exchange of resistance determinants among bacterial populations, driving the evolution of multidrug‐resistant strains. The review discusses clinical implications, emphasizing the interconnectedness of environmental and clinical settings in resistance dynamics. Furthermore, bioinformatic and experimental evidence elucidates novel mechanisms of resistance gene transfer, underscoring the dynamic nature of resistance evolution. In conclusion, combating antibiotic resistance requires a multifaceted approach, integrating surveillance, stewardship, and innovative research to preserve the efficacy of antimicrobial agents and safeguard public health.
Workplace relationships and flourishing: a moderated mediation model of work meaningfulness and learning goal orientation
Authors: Lee Ye Jin , Lee Ki‐Hak 
Published: August 2024

AbstractIn this study, we examined a model that explores the connection between workplace relationships and flourishing, with mediation through work meaningfulness and living a calling. This mediation effect was discovered to be contingent on the level of learning goal orientation. The structural equation model was verified using data collected from 561 employed adults (357 females) representing various companies and jobs. The findings indicate that work meaningfulness and living a calling fully and sequentially mediate the relationship between workplace relationships and flourishing. Furthermore, this indirect effect was more pronounced under conditions of low learning goal orientation as opposed to high.
Effect of parenteral lipids on essential fatty acid deficiency in pediatric intestinal failure: A retrospective cohort study
Authors: Johnson Parker , Phillips Victoria L. , Lamb Nathan , Guo Kexin , Zhao Lihui , Brennan Katherine M. , Prozialeck Joshua D. , Cohran Valeria C. 
Published: August 2024

AbstractBackgroundPediatric patients with intestinal failure require long‐term parenteral nutrition owing to impaired enteral nutrition absorption. A potential complication is essential fatty acid deficiency (EFAD), resulting from decreased linoleic and α‐linolenic acid concentrations and defined by an increased triene:tetraene ratio (TTR; Mead acid:arachidonic acid). Historically, soybean oil lipid emulsion (SOLE) was the only commercially available parenteral lipid in the United States. Recently, a composite lipid emulsion (CLE) and fish oil lipid emulsion (FOLE) received US Food and Drug Administration approval. This study investigated whether lipid emulsion regimen impacts EFAD incidence in pediatric patients with intestinal failure.MethodsThis study was a 10‐year retrospective cohort study of pediatric patients with intestinal failure who received parenteral SOLE, CLE, or FOLE. The primary outcome was EFAD incidence, defined as a TTR ≥ 0.2. Secondary outcomes included TTR ≥ 0.05, cholestasis incidence, lipid dose effect on EFAD incidence, and fatty acid parameter differences.ResultsA total of 144 fatty acid profiles from 47 patients were reviewed. EFAD did not occur in any lipid emulsion group. There were no differences in the incidence of TTR ≥ 0.05 or cholestasis. The effect of dose could not be evaluated because of no EFAD incidence. Lastly, although each group had varied fatty acid parameters, none saw decreased essential fatty acid levels.ConclusionThis study found that, with close monitoring, the lipid emulsion regimen did not impact EFAD incidence. This suggests that FOLE and CLE do not increase EFAD risk compared with SOLE in pediatric patients with intestinal failure.
Research Note: Medical Cannabis Tourism
Authors: Tham Aaron 
Published: August 2024

ABSTRACTMedical cannabis is an emerging topic of interest as stakeholders come to terms with how the demand and supply of such controlled substances are regulated across nations. Then, by extension, the provision of medical cannabis has given rise to tourism encounters where people, places, and spaces intersect. However, medical cannabis tourism has received very little attention in scholarly literature. This research note seeks to provide an overview of developments related to medical cannabis, fundamental questions that tourism scholars and practitioners need to be cognisant of, and charts avenues for future research.
Between‐Visit Reproducibility of Shear Wave Viscoelastography in Volunteers and Patients With Metabolic Dysfunction‐Associated Steatotic Liver Disease
Authors: Yazdani Ladan , Selladurai Sathiyamoorthy , Rafati Iman , Bhatt Manish , Montagnon Emmanuel , Chayer Boris , Olivié Damien , Giard Jeanne‐Marie , Sebastiani Giada , Nguyen Bich N. , Cloutier Guy , Tang An 
Published: August 2024

ObjectiveTo assess the reproducibility of six ultrasound (US)‐determined shear wave (SW) viscoelastography parameters for assessment of mechanical properties of the liver in volunteers and patients with biopsy‐proven metabolic dysfunction‐associated steatotic liver disease (MASLD) or metabolic dysfunction‐associated steatohepatitis (MASH).MethodsThis prospective, cross‐sectional, institutional review board‐approved study included 10 volunteers and 20 patients with MASLD or MASH who underwent liver US elastography twice, at least 2 weeks apart. SW speed (SWS), Young's modulus (E), shear modulus (G), SW attenuation (SWA), SW dispersion (SWD), and viscosity were computed from radiofrequency data recorded on a research US scanner. Linear mixed models were used to consider the sonographer on duty as a confounder. The reproducibility of measurements was assessed by intraclass correlation coefficient (ICC), coefficient of variation (CV), reproducibility coefficient (RDC), and Bland‐Altman analyses.ResultsThe sonographer performing the exam had no impact on viscoelastic parameters (P > .05). ICCs of SWS, E, G, SWA, SWD, and viscosity were, respectively, 0.89 (95% confidence intervals [CI]: 0.79‐0.95), 0.81 (95% CI: 0.79‐0.95), 0.90 (95% CI: 0.80‐0.95), 0.96 (95% CI: 0.93‐0.98), 0.78 (95% CI: 0.60‐0.89), and 0.90 (95% CI: 0.80‐0.95); CVs were 11.9, 23.3, 24.2, 10.1, 29.0, and 32.2%; RDCs were 33.0, 64.5, 66.9, 27.7, 80.3, and 89.2%, and Bland‐Altman mean biases and 95% limits of agreement were −0.05 (−0.45, 0.35) m/s, −0.61 (−5.33, 4.10) kPa, −0.25 (−2.06, 1.56) kPa, −0.01 (−0.27, 0.26) Np/m/Hz, −0.09 (−7.09, 6.91) m/s/kHz, and −0.33 (−2.60, 1.94) Pa/s, between the two visits.ConclusionUS‐determined viscoelastography parameters can be measured with high reproducibility and consistency between two visits 2 weeks apart on the same ultrasound machine.
Clean energy, food, water and environment: Examining COP27 targets for China's economy
Authors: Hou Li , Hao Liang , Wang Weizheng , Zhou Jun , Yan Jiale , Hasan Miraz Mahadi 
Published: August 2024

AbstractCurrently, emerging as well as industrialized countries are transitioning toward adopting clean energy sources because of increased environmental calamities. Additionally, the rapid increase in population has improved global food production and demand. Nevertheless, the environmental consequences of food production and water investments have received limited attention from scholars. The present research investigates China's environmental determinants between 1988 and 2022. This study uses three parametric approaches (fully modified ordinary least squares [FMOLS], dynamic ordinary least squares [DOLS], and canonical cointegrating regression [CCR]) for the primary model assessment. However, this research also employed the least squares method with breaks and quantile regression to account for structural breaks and nonnormality issues. The predicted outcomes asserted that economic expansion and investment in water significantly improve the carbon emissions level in the country. However, enhanced food production and clean energy adoption improve environmental sustainability and the probability of achieving COP27 targets by reducing emissions. The outcomes are robust and reliable based on the given literature. Based on the outcomes, this research recommends improved investment in research and development, increased renewable energy production, and strong policies for decoupling economic growth from emissions via clean energy.
Characterization of Starch Fraction From Wet Protein Isolation Process in Pea (Pisum sativum L.)
Authors: Daba Sintayehu , McGee Rebecca , Kiszonas Alecia , Finnie Sean 
Published: August 2024

ABSTRACTThe protein isolation process produces a protein isolate and a starch byproduct. This research focuses on characterizing the composition, pasting properties, and gel firmness (FM) of starch fractions of five yellow pea genotypes grown in six environments in the state of Washington, USA. Protein isolation yielded 17% protein and 60% starch fractions. The starch fraction had a purity range of 66.0%–84.8%. Pea starch exhibited a strong gel‐forming property. The pasting temperatures (PTs) of the starch fractions from the five pea entries ranged between 73.2 °C and 77.1 °C. Viscosity measurements indicated significant seasonal variations. Specifically, the viscosity parameters for the starches from the 2020 to 2022 seasons were significantly higher than those from the 2021 season. Differences in weather conditions partly contributed to seasonal variations. The 2021 season experienced low rainfall, primarily in May and June, followed by high temperatures during late June and the first 3 weeks of July. The principal component analysis (PCA) of 344 viscosity measurements from the Rapid Visco Analyzer (RVA) test showed a clear separation of the 2021 samples from those of 2020 and 2022, emphasizing the impact of the differences in growing conditions.
Ultra‐Stable Phonon Laser Through Closed‐Loop Feedback Control for Optomechanical Sensing
Authors: Pan Ziwen , Yang Yi , Liu Wenyao , Xing Enbo , Zhou Yanru , Tang Jun , Liu Jun 
Published: August 2024

AbstractThe resonant amplification of the optical and mechanical components in cavity optomechanical systems enhances the performance of sensing applications, which rely on precise frequency control and narrowed mechanical linewidth. This study proposes a direct closed‐loop feedback technique for a narrow linewidth phonon laser based on optomechanical self‐oscillation. By continuously pumping a mechanical resonator with a laser, a phonon laser is achieved with an oscillation frequency of 17.58 MHz, exhibiting a narrow linewidth of just 0.44 mHz and an effective mechanical Q of 4 × 1010, while preserving the linear frequency response. The oscillator phase is fed back to the pump laser, yielding a mechanical frequency stability of 7.2 × 10−11 and providing a real‐time output of direct current voltage corresponding to the oscillator frequency changes. The system's real‐time sensing capability is tested using fiber probes and polystyrene particles, demonstrating a performance approach to the theoretical resolution limit. This work opens new avenues for real‐time precision measurement technology and can be extended to different optomechanical systems.
This article is… Consumer reactions to unfinished teasers for digital content
Authors: Mandler Timo , Cziehso Gerrit P. , Schaefers Tobias , Kupfer Ann‐Kristin , Mafael Alexander 
Published: August 2024

AbstractTo preview digital content and arouse consumers' interest, online providers often use short teasers designed in an unfinished form, such that the teaser begins a new sentence but does not finish it. These teasers aim to create curiosity and trigger consumption of the advertised content. However, we reveal that consumers' reactions to unfinished teasers are not always positive. The results from a qualitative pilot study and five experimental studies show that consumers react negatively to unfinished teasers for paid content, as demonstrated by reduced purchases. This effect reverses for free content, in that unfinished teasers lead to more consumption. We explain this reversal by showing that the barrier associated with paid content (i.e., the payment requirement) activates consumers' persuasion knowledge and suppresses any positive curiosity‐induced effects, which does not occur when content is available for free. These findings offer novel insights into the complexity of consumers' reactions to prevalent advertising techniques designed to promote content consumption in digital marketplaces.
Enhanced Thermal Management in Microelectronics Packaging With 2D h‐BN Nanocomposite Underfills
Authors: Razgaleh Sara A. , Aravamudhan Shyam 
Published: August 2024

ABSTRACTThe quest for faster and more densely packed microelectronic circuits has necessitated significant advancements in thermal management and encapsulant manufacturing technologies. This pursuit has driven the development of innovative methods to enhance heat flux and thermal transfer in microelectronics packaging. A critical issue is the thermal stress induced by the coefficient of thermal expansion (CTE) mismatch between the chip and the substrate, threatening the chip's mechanical integrity and lifespan. To address this challenge, there is a growing emphasis on using underfills to improve thermal transfer and heat dissipation. The current study focuses on using hexagonal boron nitride (h‐BN) nanofillers for robust thermal support in microelectronics packaging. This study deploys epoxy adhesives to integrate nanofillers, where precise dispersion is crucial for optimizing thermal and mechanical properties. Findings show 1500‐ and 500‐nm h‐BN enhance axial thermal conductivity and diffusivity linearly with filler content, while the 70‐nm h‐BN plateaus at 3% volume. The 70‐nm h‐BN demonstrates superior radial thermal performance.
Synthesis of higher‐B0 CEST Z‐spectra from lower‐B0 data via deep learning and singular value decomposition
Authors: Yan Mengdi , Bie Chongxue , Jia Wentao , Liu Chuyu , He Xiaowei , Song Xiaolei 
Published: August 2024

AbstractChemical exchange saturation transfer (CEST) MRI at 3 T suffers from low specificity due to overlapping CEST effects from multiple metabolites, while higher field strengths (B0) allow for better separation of Z‐spectral “peaks,” aiding signal interpretation and quantification. However, data acquisition at higher B0 is restricted by equipment access, field inhomogeneity and safety issues. Herein, we aim to synthesize higher‐B0 Z‐spectra from readily available data acquired with 3 T clinical scanners using a deep learning framework. Trained with simulation data using models based on Bloch–McConnell equations, this framework comprised two deep neural networks (DNNs) and a singular value decomposition (SVD) module. The first DNN identified B0 shifts in Z‐spectra and aligned them to correct frequencies. After B0 correction, the lower‐B0 Z‐spectra were streamlined to the second DNN, casting into the key feature representations of higher‐B0 Z‐spectra, obtained through SVD truncation. Finally, the complete higher‐B0 Z‐spectra were recovered from inverse SVD, given the low‐rank property of Z‐spectra. This study constructed and validated two models, a phosphocreatine (PCr) model and a pseudo‐in‐vivo one. Each experimental dataset, including PCr phantoms, egg white phantoms, and in vivo rat brains, was sequentially acquired on a 3 T human and a 9.4 T animal scanner. Results demonstrated that the synthetic 9.4 T Z‐spectra were almost identical to the experimental ground truth, showing low RMSE (0.11% ± 0.0013% for seven PCr tubes, 1.8% ± 0.2% for three egg white tubes, and 0.79% ± 0.54% for three rat slices) and high R2 (>0.99). The synthesized amide and NOE contrast maps, calculated using the Lorentzian difference, were also well matched with the experiments. Additionally, the synthesis model exhibited robustness to B0 inhomogeneities, noise, and other acquisition imperfections. In conclusion, the proposed framework enables synthesis of higher‐B0 Z‐spectra from lower‐B0 ones, which may facilitate CEST MRI quantification and applications.
Blockchain‐Enabled Decentralized Healthcare Data Exchange: Leveraging Novel Encryption Scheme, Smart Contracts, and Ring Signatures for Enhanced Data Security and Patient Privacy
Authors: Vidhya S. , Siva Raja P. M. , Sumithra R. P. 
Published: August 2024

ABSTRACTThe healthcare industry has undergone a digital transformation in recent years, with the adoption of electronic health records (EHRs) becoming increasingly prevalent. While this digitization offers various advantages, concerns regarding the security and privacy of sensitive medical data have also intensified. Data breaches and cyber‐attacks targeting healthcare organizations have underscored the need for robust solutions to protect patient data. Blockchain technology has emerged as a promising solution due to its decentralized and immutable nature, which ensures secure and transparent data recording. This paper proposes a novel approach that combines blockchain with advanced encryption scheme and privacy protection technique to establish a secure and privacy protected medical data sharing environment. The proposed system consists of three phases such as initialization phase, data processing phase, and authentication phase. The hybrid Feistal‐Shannon homomorphic encryption algorithm (HFSHE) is proposed to encrypt the medical data to ensure data confidentiality, integrity, and availability. Ring signature is integrated to the system to provide additional anonymity and protect the identities of the participants involved in data transactions. In addition, the smart contract developed performs authentication checks on users, generates a time seal, and verifies the ring signature. Through this enhancement, the system becomes more resilient to both external and internal threats, enhancing overall security as well as privacy. A comprehensive security analysis is conducted to compare the proposed method's performance against existing techniques. The results demonstrate the effectiveness of the proposed approach in safeguarding sensitive medical information within the blockchain ecosystem.