bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of the mangrove forest environment and tree species characteristics on fiddler crab communities
Authors: Theron Wilmari , Sershen  , Peer Nasreen , Rajkaran Anusha 
Published: August 2022

Context South African mangrove forests consist predominantly of three tree species wherein fiddler crabs live beneath the vegetation and act as important bioengineers. Aims To examine whether, and to what extent, tree morphology and forest structure affect fiddler crab communities. Methods Various physicochemical parameters (sediment pH, organic matter and microphytobenthos) and tree characteristics (e.g. tree density, canopy cover and importance value) were related to the abundance or presence of these crabs within eight South African mangrove-dominated estuaries by using multivariate models. Key results Overall, fiddler crab abundance was driven by sediment organic matter. The abundance of Austruca occidentalis was negatively correlated with sediment organic matter (C = −0.369, P = 0.013), whereas abundance of Paraleptuca chlorophthalmus was positively correlated (C = 0.115; P = 0.008). Tubuca urvillei abundance was not affected by anything. Fiddler crab presence was largely driven by sediment organic matter for all species and pneumatophore density in A. occidentalis. Conclusions Results indicated that mangrove tree structure influences fiddler crabs indirectly at the population level, by modulating physicochemical and biological variables. Implications Understanding mangrove tree and macrobenthic fauna co-existence patterns will be essential in developing climate-responsive management strategies for these species and the systems within which they occur.
Optimal sensor fusion method for active vibration isolation systems in ground-based gravitational-wave detectors
Authors: Tsang T T L , Li T G F , Dehaeze T , Collette C 
Published: August 2022

Abstract
Sensor fusion is a technique used to combine sensors with different noise characteristics into a super sensor that has superior noise performance. To achieve sensor fusion, complementary filters are used in current gravitational-wave detectors to combine relative displacement sensors and inertial sensors for active seismic isolation. Complementary filters are a set of digital filters, which have transfer functions that are summed to unity. Currently, complementary filters are shaped and tuned manually rather than being optimized. They can be sub-optimal and hard to reproduce for future detectors. In this paper,

H

∞

optimization is proposed for synthesizing optimal complementary filters. The complementary filter design problem is converted into an optimization problem that seeks minimization of an objective function equivalent to the maximum difference between the super sensor noise and the lower bound in logarithmic scale. The method is exemplified with three cases, which simulate the sensor fusion between a relative displacement sensor and an inertial sensor. In all cases, the

H

∞

complementary filters suppress the super sensor noise equally close to the lower bound at all frequencies in logarithmic scale. The

H

∞

filters also provide better suppression of sensor noises compared to complementary filters pre-designed using traditional methods.
An attention-based temporal convolutional network for rodent sleep stage classification across species, mutants and experimental environments with single-channel electroencephalogram
Authors: Liu Yuzheng , Yang Zhihong , You Yuyang , Shan Wenjing , Ban WeiKang 
Published: August 2022

Abstract

Objective. Sleep perturbation by environment, medical procedure and genetic background is under continuous study in biomedical research. Analyzing brain states in animal models such as rodents relies on categorizing electroencephalogram (EEG) recordings. Traditionally, sleep experts have classified these states by visual inspection of EEG signatures, which is laborious. The heterogeneity of sleep patterns complicates the development of a generalizable solution across different species, genotypes and experimental environments. Approach. To realize a generalizable solution, we proposed a cross-species rodent sleep scoring network called CSSleep, a robust deep-learning model based on single-channel EEG. CSSleep starts with a local time-invariant information learning convolutional neural network. The second module is the global transition rules learning temporal convolutional network (TRTCN), stacked with bidirectional attention-based temporal convolutional network modules. The TRTCN simultaneously captures positive and negative time direction information and highlights relevant in-sequence features. The dataset for model evaluation comprises the single-EEG signatures of four cohorts of 16 mice and 8 rats from three laboratories. Main results. In leave-one-cohort-out cross-validation, our model achieved an accuracy of 91.33%. CSSleep performed well on generalization across experimental environments, mutants and rodent species by using single-channel EEG. Significance. This study aims to promote well-standardized cross-laboratory sleep studies to improve our understanding of sleep. Our source codes and supplementary materials will be disclosed later.
Modified photoplethysmography signal processing and analysis procedure for obtaining reliable stiffness index reflecting arteriosclerosis severity
Authors: Wu Meng-Ting , Liu I-Fan , Tzeng Yun-Hsuan , Wang Lei 
Published: August 2022

Abstract

Objective. This study aimed to describe a modified photoplethysmography (PPG) signal processing and analysis procedure to obtain a more reliable arterial stiffness index (SI). Approach. Three parameters were used to assess the PPG signal quality without prominent diastolic waves, which are similar to a sinusoidal waveform shape. The first parameter, sinusoidal ratio (S-value), was based on frequency-domain analysis: a higher S-value indicated the presence of PPG pulse wave with unapparent diastolic peak. The second parameter was the time difference between systolic peak-to-diastolic peak and the systolic peak-to-dicrotic notch. The third parameter was the percentage of sin-like waveform in the PPG signals. The applicability of these parameters was demonstrated in 40 participants, including 11 with apparent diastolic peaks in the PPG signals and 29 with unapparent diastolic peaks. Main results. An S-value of >3.5 indicated apparent diastolic peaks in the PPG signals. In addition, a systolic peak-to-diastolic peak time difference >80% and a sin-like waveform >55% may be associated with severity of vascular aging. Significance. These parameters successfully detected low-quality PPG signals with unapparent diastolic waveform before SI calculation, thereby ensuring the accuracy of subsequent evaluation of cardiovascular-related disease and clinical risk stratification.
Health monitoring of high-damping viscoelastic materials using sub-resonator enriched electro-mechanical impedance signatures
Authors: Lu Runye , Shen Yanfeng , Qu Wenzhong , Xiao Li 
Published: August 2022

Abstract
This article presents a recent progress of the electromechanical impedance spectroscopy methodology for monitoring high-damping viscoelastic materials (solid rocket motor propellant for instance). It employs piezoelectric wafer active sensors (PWAS) with sub-resonators which can create additional resonance peaks for enriching the diagnostic information. In order to develop an in-depth understanding of the mechanism behind the sub-resonator sensor system, an analytical investigation is conducted first. The theoretical formulation treats the sub-resonator PWAS as a mass-in-mass model, which can be seamlessly merged into the traditional 1D constrained PWAS case. The analytical solution for the impedance signature of the new sub-resonator PWAS transducer is derived. Meanwhile, parametric case studies are carried out to analyze the influence of material damping and additional mass of the sub-resonators on the impedance signature. Moreover, numerical simulations are performed to demonstrate the effectiveness of the new sensor creating additional resonance peaks. Comparative investigations are carried out with both the conventional PWAS and the sub-resonator PWAS. EMIS damage indices based on the spectral amplitude and frequency variation features are used to quantify the material degradation. Additionally, the performance of the proposed sub-resonator PWAS is demonstrated via a material creep experiment. The article finishes with summary, concluding remarks, and suggestions for future work.
Construction and test result of an all-REBCO conduction-cooled 23.5 T magnet prototype towards a benchtop 1 GHz NMR spectroscopy
Authors: Lee Wooseung , Park Dongkeun , Bascuñán Juan , Iwasa Yukikazu 
Published: August 2022

Abstract
A compact benchtop high-field REBCO nuclear magnetic resonance is one of the most promising high-temperature superconductor applications. An all-REBCO, conduction-cooled magnet is a very attractive design option for demonstrating the unique potential of REBCO for forefront magnets. In this research, we have successfully constructed and tested a prototype all-REBCO, conduction-cooled, 23.5 T magnet operating at 10 K. We have applied the concept of an extreme no-insulation winding technique, coupled with a solder-shunting procedure to improve magnet performance. We have also used a temperature-controlled charging sequence to reduce the screening current. The magnet was energized to 23.6 T at 14 K; it was further operated to 25 T at 10 K for nearly 60 h.
A low-cost approach for recycling large GdBCO bulk superconductors using an infiltration technique with different liquid sources
Authors: Wang M , Wang Y N , Yang W M 
Published: August 2022

Abstract
The high-temperature superconductor has become a research hotspot, because of its high critical temperature, strong trapped flux density, stable suspension characteristics and large magnet levitation force. Single-domain REBa2Cu3O7−δ
(REBCO) superconductors, where RE is a rare-earth element such as Y, Gd, Sm or Nd, have wide and potential applications in high-tech fields, such as micro-magnet superconducting maglev trains, superconducting motors and superconducting magnetic separation systems. However, a large number of multi-domain samples are easily produced in the preparation process, resulting in a significantly lower success rate and a significant increase in cost, which restricts their practical applications. Thus, we successfully recycle a series of GdBCO samples by re-supplementing the liquid phase lost in the primary growth process and pre-treating the failed sample as solid-phase source billets, which was proposed by Shi. The growth morphology and superconducting properties of the recycled GdBCO bulk superconductors are investigated in detail in this study. The results show that the key superconductivity properties have been significantly improved, which provides the scientific basis and new ideas for the development of low-cost and highly efficient fabrication yields of REBCO bulk superconductors.
Carboxymethyl chitosan–alginate hydrogel containing GSNO with the ability to nitric oxide release for diabetic wound healing
Authors: Razmjooee Kavoos , Oustadi Fereshteh , Golaghaei Alireza , Nassireslami Ehsan 
Published: August 2022

Abstract
Despite significant progress in developing diabetic wound dressing, the fabrication of an ideal one that fulfills all virtual criteria, such as promoting angiogenesis, is still lacking. Given the low vascularization in chronic diabetic wounds, they have a severe and non-healing nature. In this study, Nitric oxide (NO) was used as an angiogenic agent, which also has antibacterial properties. Briefly, S-nitrosoglutathione (GSNO) as a NO-donor was physically loaded into the carboxymethyl chitosan (CMC)/sodium alginate (ALg) composite film (CMC-ALg-GSNO). The morphological evaluation via scanning electron microscope confirms the homogeneous and porous structure of the wound dressing. The water uptake and water vapor transmission for the wound dressing were 4354.1% ± 179.3% and 2753.8 ± 54.6 g m−2 per day, respectively. An in-vitro release study showed a continuous delivery of NO during 168 h. Besides, the result from the in-vivo test reveals that the CMC-ALg-GSNO wound dressing developed diabetic wound healing in a rat model compared to the CMC-ALg and gauze. Thus, this study showed that CMC-ALg-GSNO wound dressing could lead to novel therapeutic invasions to treat diabetic wounds.
The effect of filler type and concentration on physicochemical properties and organoleptic of mushroom broth powder
Authors: Ali D Y , Sunarharum W B , Dyatmika W P 
Published: August 2022

Abstract
The addition of filler in mushroom broth powder is known to protect the flavour components of the broth during the drying process and improve the physicochemical properties of the broth for the better. However, using the wrong type and concentration of filler can cause a significant decrease in the physicochemical and organoleptic qualities of this product. Based on this, the purpose of this research was to determine the effect of the type and concentration of filler on the physicochemical and organoleptic properties of mushroom broth powder. The research method used is Nested Design with the use of 2 factors. The first factor is the filler type consisting of maltodextrin and tapioca, while the second factor is the filler concentration, consisting of 3 levels, 7.5%, 10%, and 12.5%. Data analysis was performed using the Analysis of Variance (ANOVA) method followed by the least significant difference (LSD) test. The best treatment was selected using the Zeleny method. The results showed variations in the type and concentration of different fillers significantly affected water content, protein content, yield, water vapour absorption, L*, a*, b* values, and all organoleptic attributes. The best mushroom broth powder is a sample with a treatment of maltodextrin filler type with a concentration of 7.5%. The best treatment product produced has the characteristics of water content 7.58%, protein content 3.64%, yield 8.43%, water vapour absorption 12.09%, L* 58.78, a* 9.95, b* 35.05, colour organoleptic 4.75 and 4.97 (powder and liquid), aroma 5.26 and 4.75 (powder and liquid), taste 4.77 (liquid), appearance 4.20 and 4.83 (powder and liquid) and overall liking 5.05 and 4.86 (powder and liquid).
Evaluation of plant profile of Japanese Super Sorghum variety and its physicochemical and microbiological properties of fresh juice and concentrated syrup
Authors: Assadam A , Suprihatin S , Sunarti T C 
Published: August 2022

Abstract
Sweet sorghum with various varieties in Indonesia is a high potential source of sugar. The innovation of sweet sorghum variety to improve the quality attributes needs to evaluate for plant’s profiles for optimal utilization prospects. The objective of this study was to examine the profiles of Japanese Super Sorghum cultivated in Indonesia that comparisons of several other varieties of sweet sorghum and characterize the physicochemical and microbiological properties of fresh juice and concentrated syrup. Japanese Super Sorghum had the highest plant size, the highest number of leaves, and the highest yield of fresh juice compared to other varieties. Japanese Super Sorghum’s fresh juice had a pH of 5.28, Total Dissolve Solid (TDS) 12.5 ± 0.1 °Brix, dextran content of 421.25 ± 3.93 ppm, color ICUMSA 862.15 ± 10.79 IU, viscosity 2.11 ± 0.02 cP, and yield of fresh juice 56.76% from stems or 42.42% from the whole plant. The concentrated syrup had a higher pH, ICUMSA color, dextran content, and viscosity than fresh juice, but it had a lower microbial growth rate. Microbial growth in concentrated syrup decreased due to defecation and evaporation. Bacterial growth in fresh juice was 1.8x103 CFU/ml and only 0.5x103 CFU/ml in concentrated syrup. The total microbial growth in fresh juice was 22.0x103 CFU/ml and only 5.5x103 CFU/ml in thick syrup. In conclusion, concentrated syrup from Japanese Super Sorghum juice has good properties and high storability.
Formulation natural ingredients combination and consumer preference product sunscreen lotion
Authors: Putri F R , Sailah I 
Published: August 2022

Abstract
UV rays exposure on the skin can lead to sunburn and cancer risk. Sunscreen is a preparation used to protect skin from sun exposure. Antioxidant compounds are known to have the potential effects to protect against the effects of UV rays. This research used green tea, lemon, and chitosan as natural ingredients to make sunscreen lotion. This research aims to get the right sunscreen formulation based on natural ingredients, understand the physicochemical characteristics, and acquire information on consumer preferences level. The stage of this research is to make a sunscreen formulation from green tea leaf extract (10%, 15% and 20%), chitosan (0%, 5% and 10%) and lemon juice 10%—the next step value measurement Sun Protector Factor (SPF) with spectrophotometry Uv-Vis. Quality inspection includes pH test, specific gravity, homogeneous lotion, viscosity and total plate count. Data processing was conducted using Completely Randomized Design (CRD) methods and Microsoft Excel for calculating Customer Satisfaction Index (CSI). The best treatment was obtained sunscreen lotion from the third formulation with extract green tea 10%, chitosan10% and lemon 10%. For pH test 6.19, spesific gravity 1.05 g/ml, viscos 31,500 cP, TPC 0 Cfu, and SPF test 15. The CSI value of the product is 69%, customer satisfaction is at the normal level, or customers feel satisfied.
Arabica coffee agroindustry supply chain strategy in Bandung regency
Authors: Sundana S , Raharja S 
Published: August 2022

Abstract
Coffee is one of the essential commodities that contribute to the economy in Indonesia. One of the best coffees with export quality is arabica java preanger coffee from Bandung district. Although a contributor to Indonesia’s economy, some previous literature describes the risks in the sustainable supply chain of coffee in Indonesia, especially Arabica Java coffee preanger. This study will describe a situational analysis in the Arabica Java Preanger coffee supply chain in Bandung Regency using a soft system methodology (SSM) and analytical hierarchy process (AHP) approach. From the results of the SSM research, it was found that there were five activities or strategies to achieve a sustainable Java Preanger Arabica coffee supply chain. Namely human resource training, financing modeling, monitoring the selling price of coffee beans, increasing productivity, and improving infrastructure. Furthermore, the results of the calculation of the AHP obtained a priority strategy, namely financing modeling.
Global warming impact study on carrageenan flour product using life cycle assessment (LCA) approach
Authors: Zuhria S A 
Published: August 2022

Abstract
The increasing demand for carrageenan flour products in various industries was directly proportional to the potential environmental impact generated. The environmental impact was global warming (GW) caused by greenhouse gas (GHG) emissions. The industry was one of the producers of GHG emissions from materials, energy, and waste produced. Hence, it hoped that it could improve the eco-friendlier production system. This study aimed to analyze GHG emissions generated in the life cycle of carrageenan flour products and give an alternative strategy for environmental improvement. This research was assessed using a life cycle assessment (LCA) approach with a cradle to gate scope. The research used were primary and secondary data. This research was carried out by determining the goal and scope, collecting input and output as inventory data for each process unit, analyzing the impact of GHG emitting sources, and interpreting the results to formulate a recommendation for improvement. The result of the LCA study showed that Global warming caused GHG emission in the carrageenan flour production process with a value of 47.54 kg-CO2eq/kg of carrageenan flour, with the most significant emission source the use of coal as boiler fuel. Recommendations for improvement that can be made to reduce GHG emissions are replacing coal with compressed natural gas (CNG) with an emission reduction value of 47.73 kg-CO2eq/kg of carrageenan flour with an improvement percentage of 44.29%.
Green synthesis of TiO2 nanoparticle using Lactobacillus sp. a literature review
Authors: Agustina L , Suprihatin S , Romli M , Suryadarma P 
Published: August 2022

Abstract
A critical aspect of the development of nanoparticles as a photocatalyst is the method that can be realized by physical, chemical, or biological processes or their combinations. The synthesis of nanoparticles with biological methods using a green bio-chemical approach is often referred to as a green synthesis that is carried out by utilizing various sources of plants or plant waste, algae, enzymes, or microorganisms as bioreductants. This study aims to review recent literature on TiO2 nanoparticles synthesis as photocatalyst using Lactobacillus sp. The review results show that the success of the synthesis of nanoparticles is mainly influenced by the characteristics of the bioreductant used, the concentration of metal ions in the solution, and the temperature applied during the synthesis. Lactobacillus sp was identified as a prospective bioreductant because of its ability to adapt to a wider variety of incubation conditions and produce enzymes that can form TiO2 nanoparticles with superior characteristics. The factors to be studied further include the optimum concentration of the metal ions and the optimum temperature of the process. The green TiO2 nanoparticles depend on the factors that need to be characterized and proved as a photocatalyst in advanced wastewater treatment for its recycling.
Bioplastic beads composite production based on cellulose acetate-starch blend: a literature study
Authors: Syarif M A , Fahma F , Sailah I 
Published: August 2022

Abstract
Cellulose and starch are two natural biological sources that have potential as bioplastic raw materials. Cellulose and starch show tremendous potential to reduce environmental pollution caused by conventional plastics. The compatibility between the cellulosic fibre matrices plays an important role in the properties of the resulting bioplastic. The modification of cellulose into cellulose acetate makes the resulting bioplastics have better mechanical properties. In addition, bioplastics can be composite with starch to have a stronger matrix. Cellulose-starch bio-composites have also been successfully produced. In this article, the focus on the formulation and characterization of cellulosic fibres and starch concerning their application in bioplastics will be discussed. Then, generalize the development and problems of bioplastics that are composite with starch to improve the mechanical properties of bioplastics.
In vitro study on the antimicrobial activity of eleven essential oils against oral cavity microbiota
Authors: Somantri R U , Sugiarto  , Iriani E S , Sunarti T C 
Published: August 2022

Abstract
Obtained from aromatic plants, essential oils have been utilised as natural food preservatives. Their ability to inhibit microorganism growth results from their varied chemical compositions. Furthermore, due to their classification as generally recognised as safe (GRAS) and low toxicity levels, there has been an increased study of essential oils’ compositions and antimicrobial properties against pathogens living in the human oral cavity. An initial evaluation was conducted with 11 essential oils to verify their antimicrobial activities in vitro against opportunistic pathogenic bacteria Staphylococcus aureus, Streptococcus sanguinis and Streptococcus mutans, also a model yeast Candida albicans. The antimicrobial activity was evaluated by agar disk diffusion assay, while PT kindly provided chemical composition data. Darjeeling Sembrani Aroma. The result showed that tested essential oils exhibited an inhibition zone range of 8.13 to 40.00 mm for bacteria and 7.63 to 44.04 mm for yeast. Chemical compositions of the oils revealed that the major compounds are monoterpenes, followed by sesquiterpenes and phenylpropanoids.