bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biochemical and physicochemical properties of shrimp (Pandalus borealis) compounds after compact filter press process
Authors: Jafarpour Ali , Sales Queiroz Lucas , Casanova Federico , Badfar Narjes , Jacobsen Charlotte , Jessen Flemming , Sloth Jens J. , Petersen Heidi Olander , Knudsen Mikkel , Hansen Preben Bøje , Gringer Nina 
Published: February 2024

AbstractBackgroundMost of the shrimp side streams are discarded due to the lack of appropriate processing techniques/methodology for their utilization, which is not only a loss of potentially valuable compounds, but also leads to environmental pollution. The study aimed to employ a mechanical filter press to separate the liquid called press juice (PJ) and the solid named press cake (PC) fraction from shrimp head and shell (H&S).ResultsThe proximate composition was performed, including amino acids analysis, protein content, fatty acids, and the main volatile compounds. In the whole shrimp (WS), the average values of protein, lipid, dry matter, and ash content were recorded at 14.7%, 2.9%, 21.1%, and 4.8%, respectively. The protein percentage reached 10.1% in H&S, indicating considerable amount of protein leftover in the shrimp side streams (p < 0.05). The major PUFAs in WSs' sample were Eicosapentaenoic acid (EPA) (8.8%) and Docosahexaenoic acid (DHA) (7.8%). Furthermore, the values of EPA and DHA a showed nearly two‐folded increase after peeling and filter‐pressing, PC sample. Total amino acids in the WS, H&S, PJ, and PC samples were found to be 94.6, 67.7, 22.2, and 76.6 mg/g, respectively. From the nutritional point of view, non‐essential amino acids represented higher values (13.2%–56.9%) compared to essential amino acids (9.0%–37.6%). The major components of 5′‐neucleoitides in WS sample were in order of guanosine‐5′‐diphosphate (GDP) ≫ hypoxanthine (HYP) > inosine‐5′‐monophosphate (IMP) ≫ adenosine‐5′‐monophosphate (AMP) > adenosine‐5′‐diphosphate (ADP) with values of 684.4, 293.6, 201.4, 25.6 and 16.2 μg/g sample, while no inosine (INO), guanosine‐5′‐monophosphate (GMP), and guanosine‐5′‐triphosphate (GTP) were detected. Equivalent umami concentration (g MSC/100 g) was recorded as 0.63, 0.07 for WS and H&S samples and 0.015 for PJ sample, which indicates a significant drop from the shrimp raw material toward the side streams. Most volatile compounds belonged to alkenes followed by alkanes groups.ConclusionThis work showed the possibility to employ the filter press machine to obtain PJ and PC from shrimp H&S, after peeling processing. The fractions present an interesting nutritional composition and value.
Fractionation of flavonols and anthocyanins in winemaking residues using molecularly imprinted cellulose‐synthetic hybrid particles with pyridyl active surface
Authors: Gomes Catarina P. , Dias Rolando C. S. , Costa Mário Rui P. F. N. 
Published: February 2024

AbstractHybrid cellulose‐synthetic particles with surface active pyridyl moieties and molecularly imprinted cavities for quercetin were prepared via atom transfer radical polymerization. The functionalization of the materials with pyridyl groups was confirmed by FTIR and the SEM micrographs of the hybrid particles demonstrate a clear surface modification compared with the pristine cellulose. Competitive sorption/desorption testing of the imprinted and non‐imprinted particles with standard polyphenols show the achievement of an imprinting factor IF ∼8. Moreover, it was also confirmed the high retention capability of the hybrid materials for polyphenols, due to their strong binding with the surface pyridyl moieties, even when using hydroalcoholic solvents of high ethanol content (e.g., ethanol/water 80/20 v/v). The sorption capabilities of the synthesized materials for polyphenols were explored with the fractionation of flavonols and anthocyanins in winemaking residues. High concentration and enrichment factors were achieved for high‐added value compounds, namely five times for quercetin and 12 for quercetin‐3‐O‐glucuronide with a diatomaceous earth extract and up to 4 for flavonols in a grape pomace (e.g. myricetin and quercetin glucosides). This research demonstrates the feasibility for the combination between the development of engineered materials addressing sustainability with their application to the valorization of agro‐industrial wastes.
M‐PINN: A mesh‐based physics‐informed neural network for linear elastic problems in solid mechanics
Authors: Wang Lu , Liu Guangyan , Wang Guanglun , Zhang Kai 
Published: February 2024

AbstractPhysics‐informed neural networks (PINNs) have emerged as a promising approach for solving a wide range of numerical problems. Nevertheless, conventional PINNs frequently face challenges in model convergence and stability when optimizing complex loss functions containing complex gradients. In this study, a new mesh‐based PINN method, called M‐PINN, is proposed drawing the ideas of the finite element method (FEM). By partitioning the solution domain into several subdomains and incorporating finite element data distribution constraints to the prior estimates of the predicted data distribution of PINN on the solution domain, the M‐PINN approach effectively reduces the optimization difficulty of conventional PINNs. Moreover, it is sometimes difficult to directly obtain precise boundary conditions in some practical applications. This method can be used to solve PINN problems with unknown boundary conditions, thus having wider applicability. In this study, the efficiency of M‐PINN was demonstrated through a standard 2D linear elastic solid mechanics simulation experiment, and its applicability was investigated in depth. The results indicate that the M‐PINN method outperforms traditional PINN and exhibits superior applicability and convergence, especially in cases involving unknown boundary conditions.
Adherence to prescription proton pump inhibitor therapy amongst individuals diagnosed with Barrett's esophagus
Authors: Gaber Charles E. , Abdelaziz Abdullah I. , Sarker Jyotirmoy , Lund Jennifer L. , Dellon Evan S. , Cotton Cary C. , Eluri Swathi , Shaheen Nicholas J. 
Published: February 2024

AbstractIntroductionIn the United States, clinical guidelines recommend daily use of proton pump inhibitors (PPIs) amongst individuals diagnosed with Barrett's esophagus to decrease the risk of progression to dysplasia and neoplasia. Prior studies documenting adherence to PPIs in this population have not characterized heterogeneity in adherence patterns. Factors that may relate to adherence are incompletely described.MethodsWe used administrative claims data from the Merative MarketScan Commercial Claims and Encounters database to conduct a retrospective study of adherence to prescription PPIs. A cohort of individuals diagnosed with incident Barrett's esophagus between 2010 and 2019 was identified. Group‐based trajectory models were generated to detect longitudinal adherence subgroups.Results79 701 individuals with a new diagnosis of Barrett's esophagus were identified. The best fitting model detected five distinct adherence trajectory groups: consistently high (44% of the population), moderate decline (18%), slow decline (12%), rapid decline (10%), and decline‐then‐increase (16%). Compared to individuals starting PPIs, those already using PPIs were less likely to have a declining adherence pattern. Other factors associated with membership in a declining adherence group included (but were not limited to): female sex, having a past diagnosis of anxiety or depression, and having one or more emergency department visits in the past year.DiscussionUsing an exploratory method, we detected heterogeneity in adherence to prescription PPIs. Less than half of individuals were classified into the consistently high adherence group, suggesting that many individuals with Barrett's esophagus receive inadequate pharmacologic therapy.
Emulsion‐based monoliths with a solid‐gel phase‐transition and a solid–solid phase‐transition for latent heat storage
Authors: Jiang Yu , Li Boyuan , Xu Zhiguang , Zhang Tao , Zhao Yan 
Published: February 2024

AbstractEmulsion‐based, phase change material‐encapsulated monoliths are promising for latent heat storage. However, such monoliths usually exhibit a solid–liquid phase‐transition and the one‐only phase‐transition might hinder the monoliths for more potential applications. Herein, we report the synthesis of emulsion‐based monoliths with a solid‐gel phase‐transition and a solid–solid phase‐transition for latent heat storage. The solid‐gel phase‐transition was from melting and crystallization of octadecane‐in‐crosslinked poly(octadecyl acrylate) that was formed via radical polymerization of the dispersed phase within oil‐in‐water emulsions, and the solid–solid phase‐transition was from melting and crystallization of the crosslinked polyethylene oxide blocks that were synthesized via the interface‐initiated radical polymerization of the continuous phase. The resulting emulsion‐based monoliths showed negligible mass loss during the heating at 60 °C for 8 h, and exhibited two different crystallization (heat release) temperatures and melting (heat storage) temperatures, corresponding to the solid‐gel transition and the solid–solid transition. Moreover, the monoliths possessed quite high heat density (up to 136.4 J/g), and the heat density did not deteriorate over 20 heating–cooling cycles, showing high reusability. The extremely low leakage, double phase‐transitions and the high reusability make the monoliths to be a good candidate for latent heat storage.
Assessing the performance of group‐based trajectory modeling method to discover different patterns of medication adherence
Authors: Diop Awa , Gupta Alind , Mueller Sabrina , Dron Louis , Harari Ofir , Berringer Heather , Kalatharan Vinusha , Park Jay J. H. , Mésidor Miceline , Talbot Denis 
Published: February 2024

AbstractIt is well known that medication adherence is critical to patient outcomes and can decrease patient mortality. The Pharmacy Quality Alliance (PQA) has recognized and identified medication adherence as an important indicator of medication‐use quality. Hence, there is a need to use the right methods to assess medication adherence. The PQA has endorsed the proportion of days covered (PDC) as the primary method of measuring adherence. Although easy to calculate, the PDC has however several drawbacks as a method of measuring adherence. PDC is a deterministic approach that cannot capture the complexity of a dynamic phenomenon. Group‐based trajectory modeling (GBTM) is increasingly proposed as an alternative to capture heterogeneity in medication adherence. The main goal of this paper is to demonstrate, through a simulation study, the ability of GBTM to capture treatment adherence when compared to its deterministic PDC analogue and to the nonparametric longitudinal K‐means. A time‐varying treatment was generated as a quadratic function of time, baseline, and time‐varying covariates. Three trajectory models are considered combining a cat's cradle effect, and a rainbow effect. The performance of GBTM was compared to the PDC and longitudinal K‐means using the absolute bias, the variance, the c‐statistics, the relative bias, and the relative variance. For all explored scenarios, we find that GBTM performed better in capturing different patterns of medication adherence with lower relative bias and variance even under model misspecification than PDC and longitudinal K‐means.
Practitioners' expectations on automated release note generation techniques
Authors: Sumana Nath Sristy , Roy Banani 
Published: February 2024

AbstractThe software development life cycle relies heavily on the software release note, a crucial document. Various practitioners, including project managers and clients, benefit from release notes as they provide an overview of the latest software release. However, the manual generation of release notes is a time‐consuming and stressful task. Researchers have recently proposed automated techniques to generate release notes, saving developers' time and enhancing their understanding of software projects. Unfortunately, the adoption of these tools in practice remains limited. To address this gap, we have taken steps to understand the expectations and requirements of practitioners regarding release note generation techniques before implementing new automated approaches. Consequently, our approach involves two main stages: First, we conduct a comprehensive review of the relevant literature and analyze existing release notes from GitHub repositories to gain insights into the current practices. Second, we conduct an online survey study to gather input from practitioners and understand their expectations regarding release notes. We have reviewed 16 papers related to release notes and explored 3347 release notes from 21 GitHub repositories. Our analysis revealed key artifacts present in release note contents, including issues (29%), pull requests (32%), commits (19%), and common vulnerabilities and exposures (CVE) issues (6%). Additionally, we conducted a survey study involving 32 professionals to understand the essential information that should be included in release notes based on users' roles. For instance, project managers were more interested in learning about new features rather than less critical bug fixes. Furthermore, we identified gaps in existing systems and essential factors to consider when implementing release notes techniques in software engineering. The insights gained from our study can guide future research directions and assist practitioners in generating release notes with relevant content, thus improving the overall quality of documentation in software development.
Genetic Analysis of Accumulation of Amylose and Resistant Starch in Subtropical Maize Hybrids
Authors: Reddappa Shashidhar B. , Zunjare Rajkumar U. , Muthusamy Vignesh , Chhabra Rashmi , Talukder Zahirul A. , Maman Shalma , Bhatt Vinay , Kasana Ravindra Kumar , Pal Digvender , Kumar Rajesh , Mehta Brijesh K. , Pawar Godawari S. , Singh Ashok K. , Hossain Firoz 
Published: February 2024

AbstractAmylose and resistant starch (RS) possess numerous industrial applications and health benefits. However, maize grains possess low amylose (<35%) and RS (<5%). To date, no information is available on the genetic variability of amylose and RS in subtropical maize. Here, 21 hybrids developed using half‐diallel mating design are evaluated for starch parameters at three locations. Analysis of variance (ANOVA) revealed a minor contribution for environments for amylose and RS. Amylose (22.2%–49.1%) and RS (1.02%–23.9%) showed wide variation among the hybrids. The experimental hybrids possessed significantly higher amylose (38.1%) and RS (20.9%) over the check hybrids (amylose: 29.1%, RS: 2.3%). PUSA‐AML‐H12, PUSA‐AML‐H18, and PUSA‐AML‐H16 are observed to be the most promising hybrids. Amylose and RS are positively correlated (r = 0.45), while total starch (TS) is negatively correlated with RS (r = −0.53). PMI‐AML‐147, PMI‐AML‐149, and PMI‐AML‐146 are the best general combiners for amylose and RS. Pusa‐AML‐H1, Pusa‐AML‐H12, and Pusa‐AML‐H5 emerged as the best specific combiners for amylose and RS. Both additive and nonadditive variances are important for amylose and RS. This is the first study of amylose and RS in a subtropical maize background, which could be significant in improving amylose and RS.
Amphibitic stoneflies (Plecoptera) are integrators of ecosystem processes in alluvial aquifers of gravel‐bed river floodplains
Authors: Stanford Jack A. , DelVecchia Amanda G. , Giersch J. Joseph , Malison Rachel L. 
Published: February 2024

AbstractOver 50 years ago nymphs of the Plecoptera species, Paraperla frontalis Banks, 1906 (Plecoptera: Chloroperlidae), were shown to exist in a shallow floodplain aquifer of the Tobacco River, a gravel‐bed river in western Montana and later they were documented throughout the main stems of the Flathead River system. Nymphs are almost never found in surface waters, until they emerge on the river shorelines. As teneral adults, they mate and subsequently deposit fertilized eggs into the river. This novel life cycle is termed “amphibitic.” Over the years we and others have found P. wilsoni Ricker, 1965 (Plecoptera: Chloroperlidae), Kathroperla perdita Banks, 1920 (Plecoptera: Kathroperlidae), and five species of Isocapnia Banks, 1938 (Plecoptera: Capniidae), including long‐winged and brachypterous adults and wingless dwarfs (male and female), occupying amphibitic niches in the alluvial aquifers of rivers in Washington, Idaho, Colorado, Alaska and British Columbia. These stoneflies are remarkably tolerant of hypoxia which allows them to exist as abundant consumers in aquifer food webs subsidized by ancient methane. Indeed, stonefly tissues contain carbon that is up to 7000 years old, underscoring the existence of a strong interaction involving the uptake of labile carbon derived from methanogenic and methanotrophic process in aquifers. Details of life cycles, trophic relationships, distribution and abundance have been documented by a suite of studies on the Nyack Floodplain of the Middle Flathead River, Montana. In this paper we review the ecophysiology and ecology of these unique stoneflies in the context of their functional role in gravel‐bed river ecosystems.This article is categorized under:
Water and Life > Nature of Freshwater Ecosystems
Water and Life > Conservation, Management, and Awareness
Overcoming challenges in cancer treatment: Nano‐enabled photodynamic therapy as a viable solution
Authors: Rajan Sheeja S. , Chandran Rahul , Abrahamse Heidi 
Published: February 2024

AbstractCancer presents a formidable challenge, necessitating innovative therapies that maximize effectiveness while minimizing harm to healthy tissues. Nanotechnology has emerged as a transformative force in cancer treatment, particularly through nano‐enabled photodynamic therapy (NE‐PDT), which leverages precise and targeted interventions. NE‐PDT capitalizes on photosensitizers activated by light to generate reactive oxygen species (ROS) that initiate apoptotic pathways in cancer cells. Nanoparticle enhancements optimize this process, improving drug delivery, selectivity, and ROS production within tumors. This review dissects NE‐PDT's mechanistic framework, showcasing its potential to harness apoptosis as a potent tool in cancer therapy. Furthermore, the review explores the synergy between NE‐PDT and complementary treatments like chemotherapy, immunotherapy, and targeted therapies, highlighting the potential to amplify apoptotic responses, enhance immune recognition of cancer cells, and inhibit resistance mechanisms. Preclinical and clinical advancements in NE‐PDT demonstrate its efficacy across various cancer types. Challenges in translating NE‐PDT into clinical practice are also addressed, emphasizing the need for optimizing nanoparticle design, refining dosimetry, and ensuring long‐term safety. Ultimately, NE‐PDT represents a promising approach in cancer therapy, utilizing the intricate mechanisms of apoptosis to address therapeutic hurdles. The review underscores the importance of understanding the interplay between nanoparticles, ROS generation, and apoptotic pathways, contributing to a deeper comprehension of cancer biology and novel therapeutic strategies. As interdisciplinary collaborations continue to thrive, NE‐PDT offers hope for effective and targeted cancer interventions, where apoptosis manipulation becomes central to conquering cancer.This article is categorized under:
Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease
Rural NEETs: Individual Features, Challenges, and Opportunities
Authors: Simões Francisco 
Published: February 2024

AbstractIn this chapter, I present and discuss the main individual features of rural young people Not in Employment, nor in Education and Training (NEET) living in rural areas. These characteristics fit in the so-called individual system of the bioecological model. I start out by depicting rural NEETs educational background and gender differences within this subset of NEETs, due to their importance in shaping these young people’s pathways. Afterward, I elaborate on what is known to date about rural NEETs psychological profile, particularly regarding their cognitive skills, soft skills, and well-being. Finally, I will explore how these personal characteristics of rural NEETs may interact with emerging challenges and opportunities in rural communities located at other layers of the bioecological model. This chapter strongly relies on several contributions from the COST Action Rural NEET Youth Network, as well as on the most relevant international scholarship and policy reports focusing on rural communities’ development, youth employment, and school-to-work transition, to achieve an interdisciplinary understanding of rural NEETs individual traits and features.
Pathways for Young Farmers’ Entrepreneurship in Sustainable Rural Development
Authors: Mujčinović Alen , Bojnec Štefan , Nikolić Aleksandra , Tonković Anita Bušljeta , Gašparović Slaven , Lazereg Messaoud , Stojanović Anđelka , Bojadjieva Daniela 
Published: February 2024

AbstractIn this chapter we develop a theoretical-conceptual model on young farmers’ entrepreneurship in multi-functional, diverse and resilient sustainable rural development. Our aim is supported by policies fostering social and economic opportunities that target both rural youth and rural female entrepreneurship. The European Green Deal and associated targeted initiatives offer new avenues for agriculture, rural development, and social innovation aiming at vulnerable youth groups in rural communities such as rural young people Not in Employment, not in Education or Training (NEETs), or at setting up new, viable, and attractive businesses for overcoming negative representations about farming among rural younger generations. We identify and explain the obstacles and the policy opportunities for stronger rural youth entrepreneurship and their contribution to sustainable rural development. We make this by considering the concepts of sustainability and resilience associated with the multifunctionality and heterogeneity of rural areas in the context of the Industry 4.0 uprising. Altogether, these elements can determine young people’s level of involvement in the farming sector and their willingness to stay in rural areas, including among the most vulnerable ones. We also provide a set of research avenues to overcome traditional farming approaches and policy recommendations fostering entrepreneurship among rural young people.
A Participatory Modelling Approach to Agents in Industry Using AAS
Authors: Nikolova Nikoletta , Bouter Cornelis , Bekkum Michael van , Rongen Sjoerd , Wilterdink Robert 
Published: February 2024

AbstractTo develop interoperable and flexible systems, Industry 4.0 solutions need available models and standardization. There is not just a need for physical but also digital asset descriptions, which can be reused in different cases. Particularly, with newer complex system integration, there is an increase in implementations of agent-based solutions. Although the meta-language Asset Administration Shell aims to help with integration, it is still not mature enough and lacks sufficient methods and tooling. To support the aim for interoperability, we present three tools: an updated generic agent model, a methodology for AAS model creation, and a platform for model visualization and distribution.