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Purpose: This study aims to determine how shopping lifestyle, fashion involvement and hedonic shopping influence the e-commerce and the moderating role of impulse buying. Design/methodology/approach: This study was utilized a quantitative research approach and questionnaires was used as a data gathering technique. The population of this study is the customers that used an e-commerce platform. The number of sample size for this study is 50. SPSS was used for the data analysis and this study was used reliability analysis and regression analysis to answer all the objective. Findings: The finding shows hedonic shopping has a significant influence on e-commerce Platform. However, shopping lifestyle and fashion involvement are not influencing the e-commerce platform. The finding also presents a moderating effect of impulsive buying on the relationship between independent and dependent variable. The finding shows the small moderation interaction effect between the variable. Research limitations/implications: The limitation of this study is a small number of sample size. Practical implications: This study is important in understanding the customer shopping style and it will help the business in strategies their marketing activities. Originality/value: This study present a finding that will help the enterprise in strategies their business for sustain. Keywords: shopping lifestyle, fashion involvement, hedonic shopping, impulse buying, Introduction In the internet era, humans cannot be separated from mobile phones. The rapid development of the internet directly encourages the lifestyle to shop using e-commerce easily. Online figures come [...]

•Hierarchical ZSM-5 zeolite was successfully prepared through solvothermal method using precursors sourced from natural zeolite and kaolin.•The ZSM-5 was impregnated with Cu and Ni oxides to increase their acidity and oxidation capability and applied as catalyst in the oxidation of 5-hydroxymethylfurfural (HMF) into 2,5-furandicarboxylic acid (FDCA).•The hierarchical NiO/ZSM-5 gives the highest 5-HMF conversion and yield of FDCA due to the increase of medium acidity and mild oxidation capability.

One of the major sources of operational cost in seawater reverse osmosis is towards membrane replacement. While membrane replacement is certainly unavoidable due to irreversible fouling, its rate can be minimized thorough operational changes. One common action to mitigate fouling is cleaning in place (CIP) – circulating chemicals on the membrane to dissolve the fouling matter. However, CIP efficacy is highly dependent on the timing and types of the foulant. Further, the current procedure to investigate the type of foulant can take months as the membrane autopsy procedure requires sophisticated analysis. Here, we present data-driven analytics that can generate insights about the potential type of foulant and provides a timeline for the next CIP based on the membrane performance parameters. This approach is based on our insight’s generator framework developed using historical data, coupled with machine learning algorithms and operational knowledge tree.

ABSTRACT The truss method is rarely used to analyze a masonry wall, especially a masonry wall under a load in the out-of-plane direction. The present study proposes a model called [...]

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Abstract. Measuring vital body signals is essential to measure basic body functions, prevent misdiagnosis, detect underlying health problems and motivate healthy lifestyle changes. Vital body signals are measured at the fingertips because the skin is thin, and the blood vessels are transparent. Visible light is passed at the fingertips, and the pulses generated are still acceptable on the outer nail. However, the body's vital signal measuring device continuously attached to the fingertip causes discomfort to the user. Therefore, in this study, it is proposed to measure the body's vital signals in other body parts. The wrist was chosen to be attached to the body's vital signal measuring device because the measuring device attached to the wrist allows it to continue to be used. This study aims to measure the body's vital signals, especially heart rate, on the wrist so that the correlation level of the measurement data is known. The main contribution of this study is built an electronic system to measure vital body signals, especially heart rate at the wrist with the help of the MAX30102 sensor that uses visible light with 650 - 670 nm. The MAX30102 sensor, which uses visible light with 650 - 670 nm, was selected for measurement. The ratio of the light reflected through the fingertips compared to the wrist. The result of measuring the heart rate signal on the wrist is in the form of a relatively flat wave so that the data sharpening process is carried out using the detrend method. The results showed that the measurement of heart rate signals at the wrist and fingertips of 15 respondents had accuration 85%. The accuration value shows that the data from the heart rate signal at the wrist is closely correlated with the data from the measurement of the heart rate signal at the fingertips. Therefore, measurements of heart rate signals, usually performed on the fingertips, can also be performed on the wrist. From the test results with a strong accuration, measurements are always taken when the hand can measure the place to measure vital signals, which is usually done at the fingertips.

Lutetium-177-labeled radiopharmaceuticals have been used clinically for the treatment of various malignancies in nuclear medicine. The main characteristics of lutetium-177 (177Lu), such as its concurrent emission of imageable gamma photons (208 keV (11 %) and 113 keV (6.4 %)) as well as therapeutic β−emission [β(max) = 497 keV] make it one of the radionuclides of choice to treat various types of cancers. In general, for therapeutic purposes, the synthesis of [177Lu]Lu-labeled radiopharmaceuticals requires high specific activity of 177Lu which can be produced by a nuclear reactor with high neutron flux. Unfortunately, only a few countries have benefited from this type of reactor. The use of low specific activity of 177Lu will lead to a low loading of this radionuclide in cancer cells, and thus decrease its efficacy. Accordingly, recent efforts have been made to explore suitable drug delivery vehicles to improve the 177Lu loading in targeted cancers. Due to their remarkable size and suitable surface properties, gold nanoparticles (AuNPs) have attracted attention among scientists as suitable vehicles to carry a high amount of drugs to targeted diseases. Hence, the presence of AuNP in a [177Lu]Lu-labeled radiopharmaceutical complex increases the amount of 177Lu. Overall, delivering sufficient radioactivity of 177Lu to cancer cells is very critical, which can be realized by conjugating the [177Lu]Lu-complex with AuNPs. This review summarizes recent advances in the development of AuNPs and discusses their potential as a drug vehicle in delivering substantial therapeutic radionuclide 177Lu into cancerous tissues.

This research aims to prove the direct influence of employee behaviour on job satisfaction. An empirical descriptive study was performed, with the sample consisting of 78 employees working in companies processing rubber raw materials in Indonesia. The data were analysed using partial least square method of structural equation modelling. Results reveal that self-efficacy exerts the most influence on job satisfaction. The indicators of this particular employee behaviour are morale and perseverance. Companies should establish good relationships with employees to improve job satisfaction. Enabling it to compete to face globalisation.

Background: Diabetes mellitus (DM) is among the most common risk factors for cardiovascular disease in the world with prevalence of more than 500 million population in 2021. Cardiac fibrosis with its complex process has been hypothesized as one of the mechanisms explaining development of heart failure in diabetic patients. Recently, the biomolecular mechanism of cardiac fibrosis in the hyperglycemia setting has been focusing around transforming growth factor β-1 (TGFβ-1) as a major factor. However, there is interplay role of several factors including microRNAs (miRNAs) which acts as a potential regulator of cardiac fibrosis connected with TGFβ-1. In this review, we explored interplay role of several factors including microRNAs which acts as a potential regulator of cardiac fibrosis connected with TGFβ-1 in diabetes mellitus. This narrative review included articles from the PubMed and Science Direct databases published in the last 10 years (2012–2022). Main text: In diabetic patients, excessive activation of myofibroblasts occurs and triggers pro-collagen to convert into mature collagen to fill the cardiac interstitial space resulting in a pathological process of extracellular matrix remodeling. The balance between matrix metalloproteinase (MMP) and its inhibitor (tissue inhibitor of metalloproteinase, TIMP) is crucial in degradation of the extracellular matrix. Diabetes-related cardiac fibrosis is modulated by increasing level of TGF-β1 mediated by cellular components, including cardiomyocyte and non-cardiomyocyte cells involving fibroblasts, vascular pericytes smooth muscle cells, endothelial cells, mast cells, macrophages, and dendritic cells. Several miRNAs such as miR-21, miR-9, miR-29, miR-30d, miR-144, miR-34a, miR-150, miR-320, and miR-378 are upregulated in diabetic cardiomyopathy. TGF-β1, together with inflammatory cytokines, oxidative stress, combined sma and the mothers against decapentaplegic (smad) protein, mitogen-activated protein kinase (MAPK), and microRNAs, is interconnectedly involved in extracellular matrix production and fibrotic response. In this review, we explored interplay role of several factors including microRNAs which acts as a potential regulator of cardiac fibrosis connected with TGFβ-1 in diabetes mellitus. Conclusions: Long-term hyperglycemia activates cardiac fibroblast via complex processes involving TGF-β1, miRNA, inflammatory chemokines, oxidative stress, smad, or MAPK pathways. There is increasing evidence of miRNA’s roles lately in modulating cardiac fibrosis.

Background: Atherosclerosis is a chronic inflammatory disease which may lead to major cardiovascular events. The primary cause of atherosclerosis is Dyslipidemia. The increased level of lipid profile triggers endothelial dysfunction. This results in inflammation with the recruitment of monocyte, macrophage, T lymphocyte, and Mast cells secreted by an Lp-PLA2 enzyme which causes binding between macrophage and oxidized LDL. This binding results in the formation of foam cells and also the migration of smooth muscle cells. Following that, an Lp-PLA2 receptor hydrolizes OxPC which results in LysoPC and OxNEFA, bioactive compounds which stimulate the progression of atherosclerosis plaques. This process leads to cell hypoxia, which may result in the increase of HIF-1α and VEGF expressions and induction of vasa vasorum angiogenesis. Employing darapladib as an agent of Lp-PLA2 selective inhibitors, this study aimed to find out the effect of darapladib as an Lp- PLA2 selective inhibitor agent on the formation of vasa vasorum angiogenesis and the decrease of HIF-1α and VEGF expression in aortic tissue of rats with dyslipidemia. Method: A true laboratory experiment with a randomized post-test control group design used 30 male spraque dowley rats as animal models which were divided into 6 groups: Normal 8 weeks, Normal 16 weeks, Dyslipidemia (DL) 8 weeks, Dyslipidemia (DL) 16 weeks, Dyslipidemia with darapladib treatment (DLDP) 8 weeks and Dyslipidemia with darapladib treatment (DLDP) 16 weeks. The data measured in this study were the lipid profile (total cholesterol, HDL, and LDL). Using EnzyChrom TM kit, hematoxylin eosin, and double-labelling immunofluorescene, the levels of lipid profile, vasa vasorum, HIF-1α and VEGF were measured. Results: The study results which were analyzed using NOVA test showed that with darapladib administration, there was a significant decrease in vasa vasorum angiogenesis (p=0.000), HIF-1α (p=0.005) and VEGF (p=0.009) expression in each time series. This result proves that Lp-PLA2 inhibitor reduces inflammatory process. Conclusion: Darapladib injection as an Lp-PLA2 selective inhibitor correlates with the decreasing vasa vasorum angiogenesis through alteration in HIF-1α and VEGF expressions in the aorta of high fat diet rats. We recommend further experiments to determine the effectiveness of darapladib with earlier time series in the atherosclerosis process.

Climate change, pollution, and energy insecurity are currently critical worldwide problems. To improve worldwide energy security and supply, new policies regarding renewable energy and new infrastructure should be developed. Since 2006, Indonesia’s dependency on oil imports has been increasing significantly. Recent policies on renewable energy have been issued to cope with the issue. This study focuses on describing the feasibility of using biogas for energy production in Indonesia. Biogas contains 50–70% methane and 30–50% carbon dioxide and has a calorific value of 21–24MJ/Nm3. Therefore, it can be potentially altered to contain 97% methane prior to injecting into natural gas networks. The prospective derivation of biogas from cattle, pig, and chicken waste in Indonesia could reach approximately 79 Trillion Watt-hours (TWh). In order to use biogas for power generation, two scenarios were created. The electricity demand, the environmental impact and the reduction of GHG emissions were considered over the next 20 years. The first scenario depended on current energy policy and the second scenario depended on biogas as a substitute for the fossil fuel that is still used for generating power. The carbon dioxide (CO2), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matter (PM), and volatile organic compounds (VOCs) were estimated for each scenario. A resource analysis of the biogas derived from animal wastes was estimated and the economics of biogas production were described. Finally, the most recent renewable energy policies were described to promote the development of this sector.

Efficient and reliable desalination through seawater reverse osmosis (SWRO) mandates optimized pre-treatment strategies to minimize organic and inorganic fouling. Coagulation, the process of agglomerating colloidal particles using chemical coagulants, in combination with media filtration to reduce colloidal fouling on reverse osmosis membranes is commonly used in seawater pretreatment. Due to its inherent complexity and the absence of physical models to quantify the efficiency of coagulation, overdosing of coagulants is ubiquitously observed to maintain filtered water quality. To address this problem, we use Artificial neural networks (ANNs) to optimize coagulant dosing by predicting the SDI after chemical dosing. The model is developed by using large-scale plant data comprising of different seawater physical parameters and plant operational data including pH, SDI, turbidity, coagulant dosing rate, and flocculant dosing rate. By using feature engineering, selection, and our domain knowledge, new input parameters are derived, irrelevant parameters are eliminated, and these are used as inputs to train the model. The developed ANNs model achieved a prediction accuracy of 95% also outperforms other machine learning methods, and upon industrialization it reduced annual coagulant consumption by 11.7% when implemented in a commercial SWRO plant producing 216,000 m3/day of desalinated water.

We compared four types of ZIF-8 with varying sizes and shapes to determine their thermal-structural stability and derive appropriate thermal activation conditions and correlation between structural characteristics and adsorption properties. Under air, the ZIF-8 phase for all the samples was converted completely into the zinc oxide phase above ∼300 °C, though thermalgravimetric analysis (TGA) indicated that the original structure was stable to ∼300–350 °C. Longer exposures (∼30 d) suggested that thermal activation at ∼200 °C was appropriate for the removal of guest and/or solvent molecules under air without structural damage. Despite no noticeable change in X-ray diffraction (XRD) patterns after activation at 250 °C under air, the resulting BET surface areas and CO2adsorption amounts (at 1 bar and 30 °C) of ZIF-8s were reduced to ∼44–54 and ∼72–87%, respectively, as compared to those of appropriately activated ZIF-8s. It appears that after the activation at 250 °C under air, some Zn and N atoms were dissociated and converted to ZnOH and NOH, respectively, causing the partial structural damage of ZIF-8s.

The role of ionic electrostatics in colloidal processes is well-understood in natural and applied contexts; however, the electrostatic contribution of zwitterions, known to be present in copious amounts in extremophiles, has not been extensively explored. In response, we studied the effects of glycine as a surrogate zwitterion, ion, and osmolyte on the electrostatic forces between negatively charged mica–mica and silica–silica interfaces. Our results reveal that while zwitterions layer at electrified interfaces and contribute to solutions’ osmolality, they do not affect at all the surface potentials, the electrostatic surface forces (magnitude and range), and solutions’ ionic conductivity across 0.3–30 mM glycine concentration. We infer that the zwitterionic structure imposes an inseparability among positive and negative charges and that this inseparability prevents the buildup of a counter-charge at interfaces. These elemental experimental results pinpoint how zwitterions enable extremophiles to cope with the osmotic stress without affecting finely tuned electrostatic force balance.

Ag2O/TiO2nanowires as catalyst for reduction reaction of 4-nitrophenol has been synthesized in this study with molten-salt route and followed by the impregnation method. Analysis by characterization results show that the addition of Ag2O does not change TiO2crystal structure and morphology, and it was found that the impregnated Ag2O has metal-support interactions with TiO2nanowires. Size distribution of TiO2nanowires structure along with the Ag2O is known to be within the range of nanomaterial. TiO2nanowires has an average width of 339.706 nm, and the impregnated Ag2O has an average diameter size of 19.873 nm respectively. The catalytic test performance shows that Ag2O/TiO2nanowires has excellent result compared to the control sample morphology of Ag2O/TiO2anatase. It is closely correlated with the electron transfer capability of TiO2nanowires structure and this shows that Ag2O/TiO2nanowires is suitable for catalysis of 4-nitrophenol reduction reaction.

In production planning, Material Requirement Planning (MRP) is usually developed based on time-bucket system, a period in the MRP is representing the time and usually weekly. MRP has been successfully implemented in Make To Stock (MTS) manufacturing, where production activity must be started before customer demand is received. However, to be implemented successfully in Make To Order (MTO) manufacturing, a modification is required on the conventional MRP in order to make it in line with the real situation. In MTO manufacturing, delivery schedule to the customers is defined strictly and must be fulfilled in order to increase customer satisfaction. On the other hand, company prefers to keep constant number of workers, hence production lot size should be constant as well. Since a bucket in conventional MRP system is representing time and usually weekly, hence, strict delivery schedule could not be accommodated. Fortunately, there is a modified time-bucket MRP system, called as lot-bucket MRP system that proposed by Casimir in 1999. In the lot-bucket MRP system, a bucket is representing a lot, and the lot size is preferably constant. The time to finish every lot could be varying depends on due date of lot. Starting time of a lot must be determined so that every lot has reasonable production time. So far there is no formal method to determine optimum starting time in the lot-bucket MRP system. Trial and error process usually used for it but some time, it causes several lots have very short production time and the lot-bucket MRP would be infeasible to be executed. This paper presents the use of Genetic Algorithm (GA) for optimisation of starting time in a lot-bucket MRP system. Even though GA is well known as powerful searching algorithm, however, improvement is still required in order to increase possibility of GA in finding optimum solution in shorter time. A knowledge-based system has been embedded in the proposed GA as the improvement effort, and it is proven that the improved GA has superior performance when used in solving a lot-bucket MRP problem.

Facility layout becomes one of production system factor that should be managed well, as it is designated for the location of production. In managing the layout, designing the layout by considering the optimal layout condition that supports the work condition is essential. One of the method for facility layout optimization is Mixed Integer Programming (MIP). In this study, the MIP is solved using Lingo 9.0 software and considering quantitative and qualitative objectives to be achieved simultaneously: minimizing material handling cost, maximizing closeness rating, and minimizing re-layout cost. The research took place in Rekayasa Wangdi as a make to order company, focusing on the making of concrete brick dough stirring machine with 10 departments involved. The result shows an improvement in the new layout for 333,72 points of objective value compared with the initial layout. As the conclusion, the proposed MIP is proven to be used to model facility layout problem under multi objective consideration for a more realistic look.

This paper presents the development of an assessment models for manufacturing quality using Interval Type-2 Fuzzy Logic (IT2-FL). The proposed model is developed based on one of building block in sustainable supply chain management (SSCM), which is benefit of SCM, and focuses more on quality. The proposed model can be used to predict the quality level of production chain in a company. The quality of production will affect to the quality of product. Practically, quality of production is unique for every type of production system. Hence, experts opinion will play major role in developing the assessment model. The model will become more complicated when the data contains ambiguity and uncertainty. In this study, IT2-FL is used to model the ambiguity and uncertainty. A case study taken from a company in Yogyakarta shows that the proposed manufacturing quality assessment model can work well in determining the quality level of production.