High Impact Value Research Articles

KARAKTERISASI KOMPOSIT BERPENGUAT SERAT PELEPAH PISANG SEBAGAI MATERIAL BOX KACAMATA

Considerations in choosing banana stem fiber as an alternative in reducing the use of metal materials or synthetic fibers because they are more environmentally friendly and easy to obtain. Utilizing unused waste from plantation products has a lighter weight because banana stem fiber has quite good mechanical properties. This research aims to determine the mechanical properties of composites reinforced with banana stem fiber with random fiber orientation and using the Eposchon Epoxy Resin A + Hardener EPH 555 matrix as a replacement material for eyeglass cases made of plastic. Banana stem fibers were soaked in 5% NaOH for 2 hours, then composites were made using the hand lay up method with fiber weight fractions of 5%, 10% and 15%. Composite materials produced from the three variations in weight fractions were each subjected to 3 tests, namely tensile tests to ASTM D3039 standards, impact tests to ASTM D256 standards, and bending tests to ASTM D790 standards. The research results showed that the highest tensile strength at the 10% fiber weight fraction was 15.71 MPa, the highest impact value at the 5% weight fraction was 0.611 Joules, and the highest bending strength was obtained at the 5% fiber weight fraction at 69.9 MPa. Judging from the tensile, impact and bending strength of the banana stem fiber composite, it is feasible and meets the requirements to be an alternative material for eyeglass cases made from Polypropylen (PP) plastic.

FACTORS INFLUENCING THE DETERMINATION OF AUDITORS' FEES IN ALGERIA (FROM THE PERSPECTIVE OF PROFESSIONALS) - AN EMPIRICAL STUDY USING DEMATEL ANALYSIS

Objective: This study aims to identify the factors influencing the determination of auditors' fees in Algeria from the perspective of the practitioners, by understanding the relative importance of these factors. Theoretical Framework: The theoretical aspect addressed the most important factors influencing the determination of auditors' fees in Algeria, which are: the duration of the audit process, the size of the audited institution, the reputation and fame of the audit office, the quality of the audit office, and the risks of the audit process. Method: In order to determine the interrelationship between the influencing factors that contribute to the determination of auditors' fees in Algeria, the "DEMATEL" method was used, which relies on the opinions of experts (audit experts). Mathematical techniques represented in matrices were employed to identify the most influential factor among the following: the duration of the audit process, the size of the audited institution, the reputation and fame of the audit office, the quality of the audit office, and the risks of the audit process. Results and Discussion: Through the cause-and-effect relationship, the study concluded that the "reputation and fame of the auditing office" is the most important perspective for evaluation with the highest impact value (5.942), while the "audit process risk factor" is the least important perspective with an estimated value of (4.392), in order to reach the appropriate input for determining the fees of auditors in Algeria. Research Implications: The study results highlight the importance of the factors influencing the determination of auditors' fees in Algeria. As it is necessary to understand the degree of influence of each criterion in determining these fees, and consequently to identify the necessary solutions to reach a unified model for fees in Algeria based on the influencing factors, instead of subjecting the fees of auditors in Algeria to the method of specifications. Originality/Value: This study contributes to the literature on the factors influencing the determination of auditors' fees in Algeria by providing empirical evidence from Career experts in Algeria and analyzing it using mathematical methods to identify the most significant influencing factors, enabling policymakers to formulate the necessary policies.

Effect of Austempering Go-Kart Rear Axle on Toughness Properties and Microstructure Morphology

A Go-Kart is a four-wheeled vehicle that exhibits characteristics similar to a motorcycle. Additionally, since Go-Kartslack shock absorbers, it is crucial to use an engine that minimizes vibrations. The shaft, a typically circular rotating part, is oftenattached to elements like gears and endures continuous loads, which can lead to breakage. Shaft failures are common and often result from incidents caused by the need to use lightweight materials for faster performance. This study aims to examine the strength characteristics of the Go- Kart rear wheel shaft made from ASTM A414 Grade A steel after undergoing bending tests, impact tests, and microstructure analysis. Specifically, it investigates the effects of temperature on the toughness and curvature of the Go-Kart rear wheel shaft post-normalizing and tempering processes. Methods employed include heat treatment, three-point bending tests, Charpy impact tests, and ASTM E3-11 microstructure analysis. The highest impact value, 0.644joules/mm2, was observed in specimen B, which underwent a normalizing process at 850°C and tempering at 300°C. The lowest impact value, 0.190 joules/mm2, was found in specimen A, which underwent a normalizing process at 800°C and tempering at 250°C. The highest three-point bending strength, 2520.1 N/mm2, was also recorded in specimen B, while the lowest, 2255.4 N/mm2, was in specimen C, which underwent normalizing at 900°C and tempering at 350°C. Microstructure analysis revealed that higher temperatures during the normalizing and tempering processes result in the formation of more pearlite crystals and a denser microstructure.

Multi-omics and chemical profiling approaches to understand the material foundation and pharmacological mechanism of sophorae tonkinensis radix et rhizome-induced liver injury in mice

Ethnopharmacological relevanceSophorae tonkinensis Radix et Rhizoma (STR) is an extensively applied traditional Chinese medicine (TCM) in southwest China. However, its clinical application is relatively limited due to its hepatotoxicity effects. Aim of the studyTo understand the material foundation and liver injury mechanism of STR. Materials and methodsChemical compositions in STR and its prototypes in mice were profiled by ultra-performance liquid chromatography coupled quadrupole-time of flight mass spectrometry (UPLC-Q/TOF MS). STR-induced liver injury (SILI) was comprehensively evaluated by STR-treated mice mode. The histopathologic and biochemical analyses were performed to evaluate liver injury levels. Subsequently, network pharmacology and multi-omics were used to analyze the potential mechanism of SILI in vivo. And the target genes were further verified by Western blot. ResultsA total of 152 compounds were identified or tentatively characterized in STR, including 29 alkaloids, 21 organic acids, 75 flavonoids, 1 quinone, and 26 other types. Among them, 19 components were presented in STR-medicated serum. The histopathologic and biochemical analysis revealed that hepatic injury occurred after 4 weeks of intragastric administration of STR. Network pharmacology analysis revealed that IL6, TNF, STAT3, etc. were the main core targets, and the bile secretion might play a key role in SILI. The metabolic pathways such as taurine and hypotaurine metabolism, purine metabolism, and vitamin B6 metabolism were identified in the STR exposed groups. Among them, taurine, hypotaurine, hypoxanthine, pyridoxal, and 4-pyridoxate were selected based on their high impact value and potential biological function in the process of liver injury post STR treatment. ConclusionsThe mechanism and material foundation of SILI were revealed and profiled by a multi-omics strategy combined with network pharmacology and chemical profiling. Meanwhile, new insights were taken into understand the pathological mechanism of SILI.

Lipid-Based Nanoparticles in Delivering Bioactive Compounds for Improving Therapeutic Efficacy.

In recent years, due to their distinctive and adaptable therapeutic effects, many natural bioactive compounds have been commonly used to treat diseases. Their limited solubility, low bioavailability, inadequate gastrointestinal tract stability, high metabolic rate, and shorter duration of action limited their pharmaceutical applications. However, those can be improved using nanotechnology to create various drug delivery systems, including lipid-based nanoparticles, to adjust the compounds' physicochemical properties and pharmacokinetic profile. Because of the enormous technical advancements made in the fundamental sciences and the physical and chemical manipulation of individual atoms and molecules, the subject of nanotechnology has experienced revolutionary growth. By fabricating certain functionalized particles, nanotechnology opens an innovative horizon in research and development for overcoming restrictions, including traditional medication administration systems. Nanotechnology-driven bioactive compounds are certain to have a high impact and clinical value for current and future uses. Lipid-based nanotechnologies were shown to deliver a range of naturally occurring bioactive compounds with decent entrapment potential and stability, a successfully controlled release, increased bioavailability, and intriguing therapeutic activity. This review outlines bioactive compounds such as paclitaxel, curcumin, rhodomyrtone, quercetin, kaempferol, resveratrol, epigallocatechin-3-gallate, silymarin, and oridonin, fortified within either a natural or synthetic lipid-based drug delivery system based on nanotechnology and their evaluation and clinical considerations.

Analisis Sifat Mekanik Komposit Serat Sabut Kelapa dengan Perlakuan Alkalisasi Etanol dan Filler Arang Tempurung Kelapa

Coconut trees are plants that are easily found in tropical areas such as Indonesia; therefore, natural products are abundant, but the use of waste from coconuts has not been processed into technological products. The aim of this study was to determine the differences in the variations in the volume fraction of fibers during tensile and impact strength testing. The variations in the volume fraction used were 5%, 10%, and 15% fiber, and the chemical treatment of the fiber was alkalized using 20% ethanol for 3 h of soaking. Composite manufacturing uses a hand layup method with random fiber orientation. The results of the research on variations in volume fraction of 5%, 10% and 15% obtained test values, in tensile testing such as maximum load obtained 32,844 kgf, 106.44 kgf and 105.59 kgf, maximum stress 6.0510 N/mm2, 16,893 N/ mm2 and 17.249 N/mm2, elongation breaking strain 0.8150, 0.3275 and 0.2617, breaking strain 1.4818 %, 0.5955 % and 0.4758 %, for the tensile test value the impact energy value was found to be 1.6 kgf, 2.3 kgf and 3.3 kgf and impact prices of 1.84 kJ/m2 , 2.45 kJ/m2 and 3.45 kJ/m2 . The high tensile and impact test results were due to mixing coconut fiber which had gone through ethanol alkalizing treatment with coconut charcoal powder to obtain high impact and tensile values.

PENGARUH PROSES PACK NITRIDING TERHADAP ANGKA KEKERASAN PERMUKAAN, KEULETAN DAN STRUKTUR MIKRO PADA BAJA SS 400

The pack nitriding process is a process of increasing the surface hardness of steel by using nitrogen with the help of organic compounds as a nitrogen source in the process. The processed steel is put into a vessel which is usually made of ceramic, glass or aluminum along with a compound used as a nitrogen source. During heating,The organic compounds used in the analysis process are generally stable at temperatures up to 570 oC and removal times of 2 to 16 hours. The purpose of the pack nitriding process is to increase the surface hardness while remaining ductile inside. In this study, nitrogen was added using a pack nitriding process after which it was quenched using water. The elimination times used were 4 and 6 hours with temperature variations of 560°C, 580°C and 600°C and presenting nitrogen for the 150 gram pack nitriding process. The highest hardness value was obtained at 580 °C with a surface hardness value of 234.84 kg/mm2 with 4 hours of removal time. And the highest impact value was shown by the specimen without treatment of 158.3 Joules. The results of testing the chemical composition of the specimens without treatment and after the pack nitriding process showed that there was an increase in the nitrogen element.

Muscle growth affects the metabolome of the pectoralis major muscle in red-winged tinamou (Rhynchotus rufescens)

The aim of the present study was to identify and quantify the metabolites (metabolome analysis) of the pectoralis major muscle in male red-winged tinamou (Rhynchotus rufescens) selected for growth traits. A selection index was developed for females [body weight (BW), chest circumference (CC), and thigh circumference (TC)] and males [BW, CC, TC, semen volume, and sperm concentration] in order to divide the animals into 2 experimental groups: selection group with a higher index (TinamouS) and commercial group with a lower index (TinamouC). Twenty male offspring of the 2 groups (TinamouS, n=10; TinamouC, n=10) were confined for 350 d. The birds were slaughtered and pectoralis major muscle samples were collected, subjected to polar and apolar metabolites extractions and analyzed by proton nuclear magnetic resonance (1H NMR) spectroscopy. Analysis of the polar metabolomic profile identified 65 metabolites; 29 of them were differentially expressed between the experimental groups (P < 0.05). The TinamouS groups exhibited significantly higher concentrations (P < 0.05) of 25 metabolites, including anserine, aspartate, betaine, carnosine, creatine, glutamate, threonine, 3-methylhistidine, NAD+, pyruvate, and taurine. Significantly higher concentrations of cysteine, beta-alanine, lactose, and choline were observed in the TinamouC group (P < 0.05). The metabolites identified in the muscle provided information about the main metabolic pathways (higher impact value and P < 0.05), for example, phenylalanine, tyrosine and tryptophan biosynthesis; alanine, aspartate and glutamate metabolism; D-glutamine and D-glutamate metabolism; β-alanine metabolism; glycine, serine and threonine metabolism; taurine and hypotaurine metabolism; histidine metabolism; phenylalanine metabolism. The NMR spectra of apolar fraction showed 8 classes of chemical compounds. The metabolome analysis shows that the selection index resulted in the upregulation of polyunsaturated fatty acids, unsaturated fatty acids, phosphocholines, phosphoethanolamines, triacylglycerols, and glycerophospholipids. The present study suggests that, despite few generations, the selection based on muscle growth traits promoted changes in metabolite concentrations in red-winged tinamou.

The Effect of Oleic Acid-Enriched Diet in Hybrid Groupers (Epinephelus fuscoguttatus × Epinephelus lanceolatus) upon Infection with Vibrio vulnificus Using an LC-qTOF-MS Approach

The aim of this study was to evaluate the impact of oleic acid supplements on the liver metabolome of hybrid grouper fingerlings (Epinephelus fuscoguttatus × Epinephelus lanceolatus) challenged with Vibrio vulnificus. Oleic acid was used as a fish feed supplement because it has been reported to enhance the immune response of fish. After six weeks of feeding trials with the control and experimental diets (oleic acid immunostimulant), 10 fish were randomly selected from each treatment and challenged with V. vulnificus by immersion for 30 min. After seven days of post-bacterial challenge, the liver samples of surviving infected groupers were dissected and used for metabolomics fingerprinting using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-qTOF-MS). The results were then analyzed using MetaboAnalyst 5.0 and SIMCA+P software. From the analyses conducted, out of 639 primary metabolites detected, a total of 66 metabolites were significantly identified from the liver samples of grouper fed control and oleic acid diets. Further analysis also showed that the control and oleic acid diets have significantly different metabolites by the discriminating clustering of samples based on the PLS-DA analysis. Based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, the known metabolites pathways with high impact values are alanine, aspartate, and glutamate metabolism (0.13) followed by purine metabolism pathways (0.05). Moreover, out of these highly impacted metabolic pathways, L-glutamine (8.71%), L-lysine (4.05%), L-carnitine (11.53%), and inosine (10.49%) were the several metabolites that were highly abundant in the liver sample of surviving infected hybrid groupers fed with dietary oleic acid. The changes of metabolites contributed to improving the immune system of the fish. Thus, our results advance our understanding of the immunological regulation of the hybrid groupers’ immune response toward oleic acid immunostimulants against Vibrio infection.

Spam community detection & influence minimization using NRIM algorithm

Big Data is a research area where many different disciplines work together. Social media has grown in popularity as a tool for disseminating and gathering information. However, the success of social media like Twitter, Facebook, etc., has not only attracted genuine users but also spammers who utilize social graphs, famous phrases, and hashtags to spread malware. This study uses several social network analysis and visualization methods based on bibliometric data from the Web of Science to look at the structure and patterns of interdisciplinary collaborations and the latest emerging overall practice. For a better understanding of spamming behaviors on Twitter, the Twitter data set is thoroughly analyzed, and categorized into Spam and Non-Spam classifications. Earlier studies confined their scope to investigating the most negatively influential spammers by blocking the most influential spammers. However, the cumulative impact of other spammers having low individual negative influence values but higher impact values was neglected. In this article, we develop an algorithm for detecting social spam using Node Rank-based Influence Minimization (NRIM), which integrates Node Rank with the impact value of spam. The proposed spam influence minimization model also identifies spam-influential users and aids in limiting the flow of spam tweets within the Twitter network. Additionally, a detection algorithm for influential communities has been proposed to limit the spread of spam content through influential communities on the Twitter network. The primary focus of this paper is to reduce the spam impact on Twitter data by identifying influential spammers using the Node_Rank-based Influence Minimization (NRIM) algorithm. To begin, the tweets are classified into spam and non-spam using a machine learning algorithm. Furthermore, the spam observed in the Graph is analyzed, and the Spammer is passed through the NRIM algorithm to find the influential Spammers. In addition to this, the negative impact of the Spammer is reduced on the Twitter graph, and its impact is analyzed on query processing executed on Graph. The technique used for the minimization of the Spammer’s negative effect on the graph reduces the query execution time by 12%.

KARAKTERISASI SIFAT MEKANIK DAN STRUKTUR MIKRO PADA BAJA PADUAN RENDAH HASIL PROSES HARDENING

The purpose of this study was to determine how the mechanical properties and microstructure formed on low alloy steel (tooth bucket) heated at temperatures of 850 ⁰C and 850 ⁰C then held for 15 minutes after that it was cooled with oil. The material hardening process was carried out by testing the Vickers hardness, impact, and observing the microstructure using an optical microscope with 200x magnification. Hardness values obtained from low alloy steel after heat treatment at temperatures of 800 ⁰C and 850 ⁰C are 389.2 HV and 414.6 HV. The optimum hardness is obtained at a temperature of 850 ⁰C with an increase of about 1.14% compared to that of raw material, which is 364.5 HV. From the results of the impact test on heat treatment with a temperature of 850 ⁰C, the highest impact value is 0.574 Joule/mm2. Furthermore, the results of the microstructure on heat treatment at a temperature of 850 ⁰C resulted in homogeneous microstructures, namely chrome, martensite, and bainite.

Experimental Study on the effect of Cooling Media on Impact Strength in the Heat Treatment Process of Medium Carbon Steel S45C

Steel possesses mechanical properties that can enhance the hardness and microstructure of its surface, and heat treatment is one way to achieve these properties. This study aimed to investigate the impact of different cooling media on the heat treatment process and the resulting impact strength of S45C medium carbon steel. The steel specimens were heated at various temperatures (800oC, 850oC, and 900oC) in a furnace and then cooled using three different media: water, oil, and air. The study concluded that for all three temperatures, the specimens cooled with oil had the highest impact value. Furthermore, oil and air immersion resulted in ductile fractures, while water immersion caused brittle fractures.

Impact strength of composite with Abaća (Musa textilis) fiber

Materials are growing day by day, one of the most widely used materials is composite material, a composite is a material formed from a mixture of two or more forming materials through an inhomogeneous mixture, where the mechanical properties of each forming material are different. The focus of this research is to utilize abaca fiber to be used as a composite material using a polyester matrix. The manufacturing method used is the vacuum infusion method. The purpose of this study was to determine the impact strength of composites with chopped and intact banana fiber filler with a weight fraction of 10%, 20% and 30%. The highest impact value in this study obtained an average impact value of 0.523 Joule/mm2 at 30% weight fraction variation with chopped fiber, while the lowest value got an average impact value of 0.071 Joule/mm2 at 30% weight fraction with intact fiber. This shows that the 2 variations in weight and shape of the fiber with abaca fiber filler based on this research affect the value of impact strength.

Abstract 2824: Metabolomics in radiotherapy-induced early adverse skin reactions in breast cancer patients

Abstract Background: Early adverse skin reactions (EASRs) are common side effects of postoperative adjuvant radiotherapy (RT) that significantly impact the quality of life (QOL) of breast cancer patients. This study used global metabolomics profiles of breast cancer populations to identify metabolic pathways and biomarkers that are significantly associated with RT-induced EASRs to identify potential targets for precision interventions. Methods: Using a frequency-matched study design, pre-RT urine samples from 60 female breast cancer patients receiving RT after breast-conserving surgery were metabolically profiled. Patients were recruited from the University of Miami Sylvester Comprehensive Cancer Center and Jackson Memorial Hospital. Using MetaboAnalyst 3.0, we performed metabolomic data analysis, visualization, and interpretation on 84 candidate metabolites from a dataset of 478 total compounds. Student’s t-tests, correlation analyses, pathway enrichment, and topology analyses were conducted sequentially to identify metabolite biomarkers and pathways associated with RT-induced EASRs. Results: The study population consisted of 24 African American (40%), 18 non-Hispanic white (30%), 14 Hispanic white (24%), and 4 “other” (7%) patients with frequency matched by race/ethnicity and body mass index (BMI) categories (i.e., normal, overweight, and obesity) to have an equal number of high (n=30) and low (n=30) EASRs. Seven metabolic pathways were significantly associated with RT-induced EASRs, including alanine, aspartate, and glutamate metabolism; caffeine metabolism; pentose and glucuronate interconversions; glycine, serine, and threonine metabolism; beta-alanine metabolism; pantothenate and CoA biosynthesis; and glutathione metabolism. The alanine, aspartate, and glutamate metabolism pathway had the lowest false discovery rate (FDR)-adjusted p-value (p=0.0028) and the highest pathway impact value (0.60) of all enriched metabolic pathways. Thirteen metabolite biomarkers were significantly associated with RT-induced EASRs, including the principal compound of interest glutamate. Conclusions: In our study of breast cancer patients receiving adjuvant RT, alanine, aspartate, and glutamate metabolism had the highest impact value and significant FDR-adjusted p-value in predicting RT-induced EASRs. Our findings suggest that glutaminase inhibitors may have broader clinical applications in preventing RT-induced EASRs in addition to their potential enhancement of chemotherapy by triggering metabolic crises in tumor cells. Keywords: breast cancer, metabolomics, radiation therapy, and early adverse skin reactions. Citation Format: Alexandra N. McMahon, Cristiane Takita, Jean L. Wright, Eunkyung Lee, Joshua J. Kleinman, Isildinha M. Reis, Jennifer J. Hu. Metabolomics in radiotherapy-induced early adverse skin reactions in breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2824.

Effect of different regions on fermentation profiles, microbial communities, and their metabolomic pathways and properties in Italian ryegrass silage.

Italian ryegrass is less studied in northern China due to high-quality forage grass has not been fully utilized. Full utilization of high-quality forage grass helps to alleviate the shortage of forage grass in winter and spring season and guarantee stable development of livestock production. Consequently, this study was aimed to evaluate the effects of different regions in northern China on the fermentative products, bacterial community compositions, and metabolic pathways and metabolites of Italian ryegrass silage. The Italian ryegrass was harvested from three regions (Ordos-WK; Hohhot-AK; Ulanqab-SYK) and ensiled for 60 days. Single molecule real-time (SMRT) sequencing and ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS/MS) were used to analyze bacterial communities and metabolites, respectively. After 60 d of fermentation, the SYK group had the lowest pH (4.67), the highest lactic acid contents (95.02 g/kg DM) and largest lactic acid bacteria populations (6.66 log10 cfu/g FM) among the treatment groups. In addition, the SYK group had the highest abundance of Lactiplantibacillus plantarum (63.98%). In SYK group, isoquinoline alkaloid biosynthesis was the significantly enriched (p < 0.05) and high-impact value (0.0225) metabolic pathway. In AK group, tryptophan metabolism the was the significantly enriched (p < 0.001) and high-impact value (0.1387) metabolic pathway. In WK group, citrate cycle (TCA cycle) was the significantly enriched (p < 0.001) and high-impact value (0.1174) metabolic pathway. Further, Lactiplantibacillus plantarum was positively correlated with cinnamic acid, tetranor 12-HETE, D-Mannitol, (2S)-2-amino-4-methylpentanoic acid L-Leucine, guanine, isoleucyl-aspartate and 3,4-Dihydroxyphenyl propanoate, but negatively correlated with isocitrate and D-mannose. In conclusion, this study can improve our understanding of the ensiling microbiology and metabolomics in different regions to further regulate the fermentation products and promote livestock production.

Some studies on banana and sisal fibers-based hybrid composites

In recent decades, the natural fiber-based composite has fascinated considerable importance as a potential structure material. Natural fibers' attractive features often help to build the modern world’s needs. Composites produced from natural fiber will be a very cost-effective material, especially for the construction industry. The present focus is on developing a polymer matrix composite (polyester resin) using Banana and Sisal fibers at various compositions (40:60, 50:50, 60:40) used as reinforcement. The compression molding machine is used for fabricates fiber-reinforced composite plates. Three types of compositions are taken, the first with both Banana and Sisal fibers in 50 % composition each. The second one with Banana fibers of 60 % and Sisal fiber of 40 % composition, respectively. The third one with Banana fiber of 40 % Sisal fiber of 60 % composition, respectively. The resin is taken in 40 %, and fibers are taken in 60 % for making the composites. The compression, impact, hardness, thermogravimetric analysis, and moisture absorption test were tested for fiber-reinforced composite plates, and the results were compared. From the results, the composite with 40 % Banana fiber and 60 % Sisal fiber showed high compression, impact, hardness, and heat flow rate values. Composite with 60 % Banana and 40 % Sisal fibers had more water absorption properties.

Regulation of denitrification performance and microbial topology by lights: Insight into wavelength effects towards microbiota

The low efficiency of conventional complete denitrification, as well as the unstable nitrite supply for partial-denitrification coupled anammox (PD/A) restrict the efficient removal of nitrogen from industrial wastewaters. Herein, we proposed an optical strategy to bidirectionally regulate denitrification by introducing lights at different wavelengths, and the underlying mechanisms were elucidated accordingly. It turned out that yellow light at wavelength of 590 nm accelerated denitrification by 35.4%, while blue light delayed denitrification with stable nitrite accumulation above 86.9% and high nitrate removal (99.8%). Microbial physiology and viability further supported the positive effects of yellow light on microbial activity. Additionally, despite the sluggish denitrification aroused by blue light, negligible cellular damage was observed. Antioxidant capability divergence, microbial community shifting and metabolic flux redirection contributed to the wavelength-dependent effects. Halomonas and Pseudomonas were identified as high-credit taxonomic biomarkers of yellow and blue light. As revealed by metabolomics, pantothenate and CoA biosynthesis, glutamate metabolism and alkaloid biosynthesis presented high impact values. Co-analysis of metabolomics and metagenomics based on microbial topology further distinguished pivotal metabolic pathways and genes. Oxidative phosphorylation contributed to the divergent denitrification performance through electron transfer chains, whereas glutamate and glutathione metabolism contributed to oxidative stress alleviation and mediated the metabolic flux between peroxisome and nitrogen metabolism. This study shed a light on the application of optical strategy to regulate denitrification performance and achieve either complete denitrification or PD/A.

Characterizations of Hybrid Composites of Linen /Glass Fibers for Automotive and Transportation Applications

Recently, the sustainability issue has become crucial to operation, which motivates researchers to search for naturally generated, sustainable materials, especially in automotive applications outside of reduced prices and enhanced performance. Glass-linen/Polyvinyl Butyral hybrid composites' mechanical characteristics were examined in relation to the effect of linen fiber loading. The composite and hybrid composite samples of linen/glass fiber reinforced PVB film were created using a hot press with various layering patterns. The results were high impact values with increased both tensile and flexural strength values. Compared to other hybrid composites, the mechanical behaviors of the H1 (Glass / Linen) hybrid have a greater tensile strength measuring 401.30 MPa, while, H2 (Glass / Linen/ Glass) hybrids are found to have the highest flexural strength, measuring 160.80 MPa. An optical and scanning electron microscope morphological analysis on linen hybrid composites revealed good results. This indicated decreased rates of delamination between the fibers and matrix layers. The loading of the fibers was shown to have varying effects on the composite's mechanical behaviors. The linen/glass composites also demonstrated strong interfacial adhesion, which enabled the PVB-phenolic resin to penetrate the fiber bundles and produce a matrix with the good interlocking of the fibers

The Interaction of Purchasing Factors in Hedonic Shoppers

Geçmişte yapılan çalışmalar, bireylerin alışveriş süreçlerine dair bilinmeyenleri açıklamaya başlamış olsa da hala tüketici zihnini anlamak tam anlamıyla mümkün olamamaktadır. Tüketici davranışlarına dair yapılan her çalışma, bu bilinmezliği ortadan kaldırmak adına, literatüre katkı sunmaktadır. “Tüketicilerin satın alma davranışlarına etki eden hangi gösterge, hangi hedonik alışveriş motivasyonu içerisinde daha etkilidir?” sorusuna yanıt aramak için yapılan bu çalışma, tüketicilerin satın alma kararlarını verirken yaşadıkları karmaşanın çözümü adına, karar verme yöntemlerinden DEMATEL tekniği kullanılarak hazırlanmıştır. Tüketicilerin satın alma davranışlarına etki eden göstergelerin, hedonik alışveriş motivasyonlarına göre nasıl konumlandıklarını anlamak amacıyla hedonik ürün listesinde yer alan ürünleri yakın zamanda tercih etmiş bireylerden veri toplanmıştır. Katılımcıların hem hedonik alışveriş motivasyonlarını hem de satın alma davranışlarına etki eden göstergelerini bölümlendirerek analize devam edilmiştir. Herhangi bir hedonik alışveriş motivasyonun 3’ün üzerinde hesaplanması (5’li likert için) katılımcının ilgili motivasyona sahip olduğuna yorumlanmıştır. Benzer şekilde, tüketicilerin satın alma davranışlarına etki eden göstergelerde de katılımcıların verdikleri cevaplara göre bir hiyerarşi elde edilmiştir. Hedonik alışveriş motivasyonuna sahip olduğu belirlenen katılımcılar için, DEMATEL analizi yardımıyla tüketicilerin satın alma davranışlarına etki eden göstergeler arasındaki etki ve önemleri hesaplanmıştır. Bu yöntem ile satın alma davranışına etki eden göstergeler arasındaki nedenselliğin yönü de ortaya çıkartılmıştır. Araştırma sonuçlarına göre, bireylerin sosyalleşmek için alışveriş yapma ve fikir edinmek için alışveriş yapma motivasyonlarında göstergelerin önem istatistikleri diğer motivasyonlara göre yüksek hesaplanmıştır. Prestij algısı, fırsatları yakalamak için alışveriş yapma motivasyonunda en yüksek etki değerine sahipken; benlik algısı diğer tüm hedonik alışveriş motivasyonlarında en yüksek etki değerine sahip gösterge olarak hesaplanmıştır. Doğrudan gözlem yoluyla anlaşılması mümkün olmayan örüntülerin ortaya çıkarılmasında kullanılabilecek bu yöntem, çalışmada hedonik alışveriş motivasyonları çerçevesinde kullanılmıştır. Bu çalışmada kullanılan DEMATEL araştırma yönteminin, tüketici psikolojisine etki eden farklı unsurların ortaya çıkarılmasında kullanılabileceği gelecek araştırmalarda kullanılması önerilmektedir.

Multi-tissue metabolomic profiling reveals potential mechanisms of cocoon yield in silkworms (Bombyx mori) fed formula feed versus mulberry leaves.

Use of formula feed (FF) for silkworms for all instars, has promoted transformation and progress in traditional sericulture. However, the cocoon yield of FF silkworms has failed to reach that of silkworms fed mulberry leaves (ML). The biological mechanisms underlying this phenomenon have not been well described. This study aimed to identify metabolic mechanisms and potential biomarkers relating to the poor cocoon yield of FF silkworms. In this study, silkworms received treatments of either ML (ML group) or FF (FF group) for all instars. At the 3rd day of the 5th instar, the midgut (MG), hemolymph (HL) and posterior silk gland (PSG) were collected for the metabolome profiles detection. The remaining silkworms were fed ML or FF until cocooning for investigation. The whole cocoon yield (WCY) was significantly higher in the FF group than the ML group (p < 0.05), whereas the cocoon shell weight (CSW) and cocoon shell rate (CSR) were significantly lower in the FF group (p < 0.05). A total of 845, 867 and 831 metabolites were qualified and quantified in the MG, HL and PSG of the FF silkworms, respectively. Correspondingly, 789, 833 and 730 metabolites were quantified in above three tissues of the ML group. Further, 230, 249 and 304 significantly different metabolites (SDMs) were identified in the MG, HL and PSG between the FF and ML group, respectively. Eleven metabolic pathways enriched by the SDMs were mutual among the three tissues. Among them, cysteine and methionine metabolism, arginine biosynthesis, and arginine and proline metabolism were the top three pathways with the highest impact value in the PSG. Six biomarkers were obtained through biomarker analysis and Pearson correlation calculation. Among them, homocitrulline, glycitein, valyl-threonine, propyl gallate and 3-amino-2,3-dihydrobenzoic acid were positively correlated with WCY, but negatively correlated with CSW and CSR (p < 0.05). An opposite correlation pattern was observed between 3-dimethylallyl-4-hydroxyphenylpyruvate and the three cocoon performance traits. Overall, three key metabolic pathways and six biomarkers associated with cocoon yield were interpreted, and should provide directions for formula feed optimization in factory-raised silkworms.