bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seasonal effect on the amino acid and fatty acid profiles of Ulva spp. collected from Sepanjang Beach, Yogyakarta, Indonesia
Authors: Poeloengasih CD , Pangestuti R , Siahaan EA , Putra Y , Bardant TB , Prasetyo DJ , Hernawan  , Jatmiko TH , Suratno  , Khasanah Y , Ali L , Christyandari DA , Widiastuti W , Suryani R , Windarsih A , Kumayanjati B , Wahyudin N 
Published: December 2023

Abstract
In this study, nutritional composition including amino acid and fatty acid profiles of Ulva spp. from Sepanjang beach, Yogyakarta, Indonesia collected on different seasons were investigated. The result showed that the dry season had a higher level of total amino acid than the rainy season. The presence of complete essential amino acid (EAA) in the rainy and dry seasons was discovered, accounting for 35.88% and 37.51% of the total amino acid, respectively. Flavour amino acids (Glu, Asp, Ala) were prominent in Ulva spp. and reached up to 34.30% of the total amino acid for both seasons. The ratio of essential to non-essential amino acids of Ulva spp. from the dry season was greater and substantially different (p < 0.05) than that of the rainy season. Meanwhile, the sulfur-containing amino acid concentration during the dry season declined to 2.69% from 6.59% of total amino acid in the rainy. As demonstrated by the assessment of fatty acids, saturated fatty acids (SFAs) were more prevalent in Ulva spp. over the dry season, whereas polyunsaturated fatty acids (PUFAs) dominated during the rainy season. Ulva spp. harvested in the dry season had higher polyunsaturated fatty acid (PUFA) content than that of the rainy season. Eicosapentaenoic acid (EPA) was only detected in Ulva spp. from the rainy season, whereas DHA and AA were not detected in both samples. Generally, the amino acid and fatty acid profiles of Ulva spp. correlate with seasonal variations. Overall, the present investigation demonstrates the prospects of under-exploited green seaweed resources from Indonesia to be applied in food industries.
Consumer preference, quality, and financial analysis of tekwan made from snakehead, yellow tail, wolf herring, and spanish mackerels
Authors: Pratama F Y , Ustadi  
Published: December 2023

Abstract
Tekwan is a traditional processed fish product from South Sumatra, characterized by its flat shape and small size, resembling fish meatballs. Essentially, tekwan is made using Belida or Snakehead fish, where the fish stocks are running low. Raw materials represent one of the most critical components in a production process. The purpose of this study is to examine the effect of utilizing various fish raw materials on consumer preference, quality, and financial analysis of tekwan. The experimental design employed was a randomized design with 4 treatments and 3 replications. The treatments consisted of snakehead, yellowtail, wolf herring, and Spanish mackerels. The use of different kinds of fish in terms of chemical characteristics shows no apparent differences in fat, water, and ash levels, but significant differences (p<0.05) exist for protein levels. In the physical characteristics of the tekwan, a significant difference (p<0.05) is observed in the hardness value. In the consumer’s preference test, corks and machetes received similar ratings, while yellowtail and mackerel obtained higher preference rates. Based on the financial analysis, snakehead does not seem to be worth the effort, whereas yellowtail, mackerel, and dorab demonstrate business worthiness.
Valorization of marine by-products using green technology
Authors: Netramai S , Saleah F , Kawinkamraksa C , Wipatanawin A , Kijchavengkul T , Courtes F , Rosales C K 
Published: December 2023

Abstract
In this work, two cases of marine by-product valorization using green technologies were highlighted, i.e., utilization of high-pressure carbon dioxide (HPCD) for demineralization of goldstripe sardinella (Sardinella gibbosa) scales and the use of non-specific enzymes for chitosan hydrolysis. After demineralization, type I collagen can be recovered from sardine scales. This work used HPCD process (of up to 10 bar or 1 MPa) to remove minerals from scales instead of the traditional strong acid method. Results from initial phase of the work showed that the process efficiency was significantly affected by pressure applied and treatment time (p < 0.05). And the demineralization efficiency reached was significantly lower than that achieved by treatment with hydrochloric acid (p < 0.05). In the second study, the chitosanolytic activity of four non-specific enzymes were assessed for chitosan hydrolysis. The results indicated that acid protease and cellulase could be a potential choice to produce chitooligosaccharides (COS) from shrimp shell.
The characteristics and consumer acceptance of jelly drink fortified with Ulva lactuca fatty acid microemulsion
Authors: Kusumajati D R S , Budhiyanti S A 
Published: December 2023

Abstract
This study aims to determine the fortification of Ulva lactuca fatty acid microemulsion in jelly drinks and the characteristics and consumer acceptance of jelly drinks. The stages in this research were extraction of U. lactuca fatty acid, production of U. lactuca fatty acid microemulsion, fortification of U. lactuca fatty acid microemulsion in jelly drinks, and physical, chemical, and sensory analysis. Extraction of U. lactuca fatty acid was carried out using hexane and ethanol solvents with a ratio of 1:19 (v/v) at 70°C for 3 hours. Production of U. lactuca fatty acid microemulsion was done using three types of surfactants: Tween 80, Tween 20 and Span 80 in a ratio of 87:7.5:5.5(v/v) with 80 percent water content and 200 ppm of U. lactuca fatty acid concentration. Fortification of microemulsion in the jelly drink was carried out with several ratios: 0:10; 0.25 : 9.75; 0.5:9.5; 0.75:9.25; and 1:9. The characteristics of the jelly drink were determined by chemical and physical testing. The chemical analysis consists of pH, antioxidant content, and fatty acid composition. Physical analysis consists of syneresis, viscosity, and color. The sensory analysis consists of a preference level for color, aroma, taste, and texture. The results showed that the best fortification was microemulsion and jelly with a ratio of 0,25:9,75, with a significant effect on syneresis, viscosity, antioxidant content, color, and sensory. The results were 2.6 mg/min, 11.847 cP, 15.56%, a change in color, and a decrease in the level of preference, but they did not have a significant effect on pH.
High temperature short time blanching enhances the antioxidative properties of sea grapes (Caulerpa racemosa) powder
Authors: Windrayani E , Budhiyanti S A , Ekantari N 
Published: December 2023

Abstract
Green alga sea grapes (Caulerpa racemosa) were consumed by Asian and Pacific Island people. It contains antioxidant compounds, such as phenols and caulerpin (CAU) that can potentially prevent disease. These sea grapes need to be blanched before drying to minimize oxidation damage. This research aims to understand the effect of temperature during hot water blanching (HWB) on the antioxidant activities, TPC, CAU, color, and moisture content of sea grapes powder. HWB temperatures used 70, 80, 90, and 100 °C at 20 seconds. The HWB had a more significant increase in antioxidant activity than control of sea grapes powder. The 100 °C had the highest value on ABTS, FRAP, and TPC, respectively 13.18 ± 0.13 (μg TE/g), 1.52 ± 0.03 (mg Ferro E/g), 0.96 ± 0,01(mg GAE/100 g). It is increasing its value because enzyme deactivation is better in high temperatures. Short time with high-temperature blanching can prevent the loss of bioactive compounds. CAU has specific aromatic rings, -NH, C=O, and -O-; all samples have peaks at these frequencies. Blanching has an intense green color (-a*) because it can increase color quality but has no significant result in moisture content. This study suggested blanching sea grapes can be done at 100°C for 20 seconds.
Effect of carrageenan addition on the characteristic of chitosan-based bioplastic
Authors: Favian E , Nugraheni P S 
Published: December 2023

Abstract
Synthetic plastic is a product that widely used in daily life. However, the use of plastic has a negative impact that is very difficult to decompose by nature, so it is necessary to find other alternatives by switching to bioplastics. Chitosan is a polysaccharide that can be used as raw material for bioplastics because of its good plastic-forming ability. On the other hand, it has poor elasticity so it is necessary to add carrageenan which can improve the mechanical properties of bioplastics. The purpose of this research is to determine the characteristics of bioplastics made from a mixture of chitosan and carrageenan. The concentration of chitosan used was 2%, glycerol was 0.5%, and carrageenan concentrations were varied from 0%, 0.25%, 0.5%, 0.75%, and 1%. Characteristic tests carried out were film thickness, density, moisture content, solubility, tensile strength, elongation, FTIR, and antibacterial activity. The result showed that the addition of 0.5% of carrageenan resulted in better bioplastic with film thickness of 0.06 mm, density of 0.85 g/cm3, water content of 17.27%, solubility of 36.89%, the tensile strength of 13.72 mPa, the elongation of 46.03%, inhibition zone of the antibacterial activity of 2.66 mm and a new group is formed in the FTIR test.
Quantifying photoluminescence variability in monolayer molybdenum disulfide films grown by chemical vapour deposition
Authors: Healy Brendan F M , Pain Sophie L , Lloyd-Hughes James , Grant Nicholas E , Murphy John D 
Published: December 2023

Abstract
Monolayer molybdenum disulfide (MoS2) is a promising candidate for inclusion in optoelectronic technologies, owing to its two-dimensional (2D) nature and resultant novel photoluminescence (PL). Chemical vapour deposition (CVD) is an important method for the preparation of large-area films of monolayer MoS2. The PL character of as-prepared monolayer MoS2 must be well understood to facilitate detailed evaluation of any process-induced effects during device fabrication. We comparatively explore the PL emission from four different commercially available CVD-grown MoS2 monolayer films. We characterize the samples via Raman and PL spectroscopy, using both single-spot and mapping techniques, while atomic force microscopy (AFM) is applied to map the surface structure. Via multipeak fitting, we decompose the PL spectra into constituent exciton and trion contributions, enabling an assessment of the quality of the MoS2 monolayers. We find that the PL character varies significantly from sample to sample. We also reveal substantial inhomogeneity of the PL signal across each individual MoS2 film. We attribute the PL variation to non-uniform MoS2 film morphologies that result from the nucleation and coalescence processes during the CVD film development. Understanding the large variability in starting PL behaviour is vital to optimize the optoelectronic properties for MoS2-based devices.
Non-quasistatic response coefficients and dissipated availability for macroscopic thermodynamic systems
Authors: Izumida Yuki 
Published: December 2023

Abstract
The characterization of finite-time thermodynamic processes is of crucial importance for extending equilibrium thermodynamics to nonequilibrium thermodynamics. The central issue is to quantify responses of thermodynamic variables and irreversible dissipation associated with non-quasistatic changes of thermodynamic forces applied to the system. In this study, we derive a simple formula that incorporates the non-quasistatic response coefficients with Onsager’s kinetic coefficients, where the Onsager coefficients characterize the relaxation dynamics of fluctuation of extensive thermodynamic variables of semi-macroscopic systems. Moreover, the thermodynamic length and the dissipated availability that quantifies the efficiency of irreversible thermodynamic processes are formulated in terms of the derived non-quasistatic response coefficients. The present results are demonstrated by using an ideal gas model. The present results are, in principle, verifiable through experiments and are thus expected to provide a guiding principle for the nonequilibrium control of macroscopic thermodynamic systems.
CO2 to solar fuel: design and reactivity of inorganic perovskites
Authors: Len Thomas , Chhabra Tripti , Rusanen Annu , Estrada-Pomares Jose , de Miguel Gustavo , Luque Rafael 
Published: December 2023

Abstract
Carbon dioxide release by human activity is the major cause of global warming. Decreasing the concentration of CO2 in the atmosphere is a challenge that needs to be addressed. In addition to their negative impact on the environment, the availability of petroleum-based fuel is decreasing. The photoconversion of CO2 into so-called green solar fuel is a possible alternative to reduce the quantity of carbon dioxide in the atmosphere aiming the limitation of greenhouse effect. Among the photocatalyst studied for these reactions, the perovskite-based appeared as one of the most promising class of materials. These materials possess unique optoelectronic properties and exhibit significant variability in terms of their dimensionality, structure, morphology, grain size, and tunable band gap, as well as the position of their valence band and conduction band. This review discusses both the classics and innovative perovskite synthesis methods such as solid-state reaction, hydrothermal and solvothermal synthesis, hot injection or chemical precipitation. Then, the use of these materials for the photoreduction of CO2 into fuel such as formic acid, methanol and methane is detailed.
Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap
Authors: Jacobs Ryan , Goins Philip E , Morgan Dane 
Published: December 2023

Abstract
Materials discovery and design typically proceeds through iterative evaluation (both experimental and computational) to obtain data, generally targeting improvement of one or more properties under one or more constraints (e.g. time or budget). However, there can be great variation in the quality and cost of different data, and when they are mixed together in what we here call multifidelity data, the optimal approaches to their utilization are not established. It is therefore important to develop strategies to acquire and use multifidelity data to realize the most efficient iterative materials exploration. In this work, we assess the impact of using multifidelity data through mock demonstration of designing solar cell materials, using the electronic bandgap as the target property. We propose a new approach of using multifidelity data through leveraging machine learning models of both low- and high-fidelity data, where using predicted low-fidelity data as an input feature in the high-fidelity model can improve the impact of a multifidelity data approach. We show how tradeoffs of low- versus high-fidelity measurement cost and acquisition can impact the materials discovery process. We find that the use of multifidelity data has maximal impact on the materials discovery campaign when approximately five low-fidelity measurements per high-fidelity measurement are performed, and when the cost of low-fidelity measurements is approximately 5% or less than that of high-fidelity measurements. This work provides practical guidance and useful qualitative measures for improving materials discovery campaigns that involve multifidelity data.
Comparison of Home and Office Blood Pressure Devices in the Clinical Setting
Authors: Juraschek Stephen P , Vyavahare Medha , Cluett Jennifer L , Turkson-Ocran Ruth-Alma , Mukamal Kenneth J , Ishak Anthony M 
Published: December 2023

Abstract

BACKGROUND
Self-measured blood pressure (SMBP) monitoring is increasingly used for remote hypertension management, but the real-world performance of home blood pressure (BP) devices is unknown. We examined BP measurements from patients’ home devices using the American Medical Association’s (AMA) SMBP Device Accuracy Test tool.

METHODS
Patients at a single internal medicine clinic underwent up to five seated, same-arm BP readings using a home device and an automated BP device (Omron HEM-907XL). Following the AMA’s three-step protocol, we used the patient’s home device for the first, second, and fourth measurements and the office device for the third and fifth (if needed) measurements. Device agreement failure was defined as an absolute difference in systolic BP &gt;10 mm Hg between the home and office devices in either of two confirmatory steps. Performance was examined by brand (Omron vs. non-Omron). Moreover, we examined patient factors associated with agreement failure via logistic regression models adjusted for demographic characteristics.

RESULTS
We evaluated 152 patients (mean age 60 ± 15 years, 58% women, 31% Black) seen between October 2020 and November 2021. Device agreement failure occurred in 22.4% (95% CI: 16.4%, 29.7%) of devices tested, including 19.1% among Omron devices and 27.6% among non-Omron devices (P = 0.23). No patient characteristics were associated with agreement failure.

CONCLUSIONS
Over one-fifth of home devices did not agree based on the AMA SMBP device accuracy protocol. These findings confirm the importance of office-based device comparisons to ensure the accuracy of home BP monitoring.
How New Developments in Pharmacology Receptor Theory Are Changing (Our Understanding of) Hypertension Therapy
Authors: Watts Stephanie W , Townsend Raymond R , Neubig Richard R 
Published: December 2023

Abstract

Background
Many hypertension therapeutics were developed prior to major advances in drug receptor theory. Moreover, newer drugs may take advantage of some of the newly understood modalities of receptor function.

Goal
The goal of this review is to provide an up-to-date summary of drug receptor theory. This is followed by a discussion of the drug classes recognized for treating hypertension to which new concepts in receptor theory apply.

Results
We raise ideas for mechanisms of potential new antihypertensive drugs and whether they may take advantage of new theories in drug–receptor interaction.
The risk of brood parasitism does not affect levels of extrapair paternity in a cuckoo host
Authors: Zhang Jinggang , Santema Peter , Wang Hui , Lin Zixuan , Yang Lixing , Yan Denghui , Li Jianqiang , Deng Wenhong , Kempenaers Bart 
Published: December 2023

Abstract
In socially monogamous bird species, extrapair paternity is common, but its level varies considerably within and among species. For hosts of brood parasites, the risk of brood parasitism may influence the costs of engaging in extrapair copulations (e.g., leaving the nest undefended) and the benefits of having extrapair young (e.g., spreading the risk of nest predation). However, whether brood parasitism risk affects extrapair behavior in host species has rarely been tested. We investigated whether variation in the risk of brood parasitism affected levels of extrapair paternity in Daurian redstarts, a socially monogamous passerine. As a common host of the common cuckoo, the redstart is unique in that its first clutch of the year takes place before the arrival of cuckoos. As a consequence, redstarts experience large seasonal variation in cuckoo parasitism risk, with no parasitism in the first egg-laying period and a high risk in the second period. We genotyped 995 nestlings (and unhatched eggs) from 181 broods and found moderate levels of extrapair paternity, with 34.8% of broods containing at least one extrapair young and 11.7% of all offspring being sired by an extrapair male. However, levels of extrapair paternity did not differ between the first and the second egg-laying period. Also, experimentally simulating parasitism risk during the first egg-laying period by broadcasting cuckoo vocalizations and presenting taxidermic models of cuckoos did not affect levels of extrapair paternity in redstarts. Our results, therefore, suggest that the risk of brood parasitism does not affect host extrapair paternity.
A review of genetic variant databases and machine learning tools for predicting the pathogenicity of breast cancer
Authors: Ahmad Rahaf M , Ali Bassam R , Al-Jasmi Fatma , Sinnott Richard O , Al Dhaheri Noura , Mohamad Mohd Saberi 
Published: December 2023

Abstract
Studies continue to uncover contributing risk factors for breast cancer (BC) development including genetic variants. Advances in machine learning and big data generated from genetic sequencing can now be used for predicting BC pathogenicity. However, it is unclear which tool developed for pathogenicity prediction is most suited for predicting the impact and pathogenicity of variant effects. A significant challenge is to determine the most suitable data source for each tool since different tools can yield different prediction results with different data inputs. To this end, this work reviews genetic variant databases and tools used specifically for the prediction of BC pathogenicity. We provide a description of existing genetic variants databases and, where appropriate, the diseases for which they have been established. Through example, we illustrate how they can be used for prediction of BC pathogenicity and discuss their associated advantages and disadvantages. We conclude that the tools that are specialized by training on multiple diverse datasets from different databases for the same disease have enhanced accuracy and specificity and are thereby more helpful to the clinicians in predicting and diagnosing BC as early as possible.
‘Listen Very Carefully, We Will Say This Only Once (Again)’ Dead Ends to Politicisation in Social Work
Authors: Naert Jan , Debruyne Pascal , Van Bouchaute Bart , Roose Rudi 
Published: December 2023

Abstract
This article explores the significance of politicisation in social work and its role in challenging power dynamics and promoting transformative change. It is viewed as a means to challenge established power structures, raise awareness of issues and engage in political action. Three pitfalls are identified in the way politicisation is conceptualised and used. First, there is a tendency to define politicisation too broadly. The authors assert that politicisation should involve challenging the existing system rather than merely making modifications. Secondly, the belief in consensus thinking about democracy is criticised, as it overlooks power imbalances inherent in politics. The authors advocate for an agonistic politics approach, where ideological opponents engage in a struggle over competing values and interests within a shared democratic space. Lastly, the adoption of subpolitics as a politicising strategy, which focuses on individual actions, is deemed inadequate as it often fails to address structural inequalities. Instead, the authors propose prefigurative politics, which involves creating concrete collective interventions that anticipate and embody a different society in the present. In conclusion, this article underscores the importance of understanding its distinct meaning and strategies. The authors suggest agonistic and prefigurative politics as a promising framework for politicising practices in social work.