bluuebunny/crossref_metadata_2025 huggingface dataset:
A New HPLC-UV Method Using Hydrolyzation with Sodium Hydroxide for Quantitation of Trans-p-hydroxycinnamic Acid and Its Esters in the Leaves of Ligustrum Robustum
Authors: Lu Shi-Hui , Liang Xiao-Na , Nong Xiao-Jin , Chen Ran , Li Xiu-Xia
Published: May 2023

The leaves of Ligustrum robustum have been applied as Ku-Ding-Cha, a functional tea to clear heat and remove toxins; and served as a folk medicine to deal with diabetes, obesity, and hypertension. Trans-p-hydroxycinnamic acid and its esters, which were isolated from the leaves of L. robustum, might be a new resource to prevent diabetes and its complications because of their strong -glucosidase and fatty acid synthase (FAS) inhibitory activities and antioxidant effect. However, the quantitative analytical method for trans-p-hydroxycinnamic acid and its esters in the leaves of L. robustum hasn’t been reported so far. In addition, it was difficult and troublesome to analyze no less than 34 trans-p-hydroxycinnamic acid esters by usual HPLC. Therefore, a new HPLC-UV method using hydrolyzation with sodium hydroxide for quantitation of trans-p-hydroxycinnamic acid and its esters in the leaves of L. robustum was developed in the present study. The optimal hydrolyzation conditions were as follows: 1 mL sodium hydroxide aqueous solution (1 M) was added into 1 mL the extract of L. robustum and incubated at 80 °C for 2 h , and then 1 mL hydrochloride (1 M) solution was added. HPLC analysis was performed in reverse phase mode using a C-18 column, eluting with methanol-0.1% acetic acid aqueous solution (40:60, v/v) in isocratic mode at a flow rate of 1.0 mL/min, and detecting at 310 nm. The analytical method was simple and rapid, which simplified greatly the analytical process. The method was validated in terms of linearity, limit of detection (LOD), limit of quantification (LOQ), precision, and accuracy. High linearity was demonstrated with correlation coefficient of 1.000 for trans-p-hydroxycinnamic acid. The LOD and LOQ values were 1.55 and 4.69 μg/mL, respectively. The relative standard deviations (RSD) of intra-day and inter-day variabilities for trans-p-hydroxycinnamic acid were less than 2%. The percentage recovery of trans-p-hydroxycinnamic acid was 101.2% ± 0.8%. Finally, the proposed method was applied successfully to the determination and comparison of the contents of trans-p-hydroxycinnamic acid and its esters in various extracts of the leaves of L. robustum. The 60%-70% ethanol extracts of L. robustum showed the highest contents of free trans-p-hydroxycinnamic acid (3.96-3.99 mg/g), and the 50%-80% ethanol extracts of L. robustum displayed the highest contents of trans-p-hydroxycinnamic acid esters (202.6-210.6 mg/g). The method can be applied also to the quality control of the products of L. robustum.
Integrated Design System of Aircrafts Based on Generative Modeling Method
Authors: Skarka Wojciech , Nalepa Rafał , Musik Robert
Published: May 2023

This thesis presents the effects of work done on a software project for generative models and spreadsheets, allowing for a quick creation of the conceptual model of the aircraft. The subject of the work is a response to the current trends and needs prevailing in the field of computer design engineering CAD and aviation. In the initial chapters, theoretical issues related to the work being carried out were introduced and the methodology of creating software for construction and verification of the structure of aircraft along with the needs of interchange between databases of generative models was presented. In the next stages, the concepts and selected solutions for the user interface supporting the knowledge base were presented along with a set of procedures for its operation. Furthermore, the method of database integration with the methods of determining design features for the developed generative models and with the Siemens NX system. Furthermore, problems encountered in software development, as well as solution examples for model application are specified. The results obtained and the models generated on their basis were subjected to a strength analysis using Autodesk Inventor software and analysed in terms of meeting the initial assumptions. In the end, conclusions and observations resulting from the effects of the work presented in the project were formulated.
A Spatio-Temporal Information Extraction Method based on Multimodal Social Media Data: A Case Study on Urban Inundation
Authors: Wu Yilong , Chen Yingjie , Zhang Rongyu , Cui Zhenfei , Liu Xinyi , Zhang Jiayi , Wu Yong
Published: May 2023

With the prevalence and evolution of social media platforms, social media data have emerged as a crucial source for obtaining spatio-temporal information about various urban events. Providing accurate spatio-temporal information of these events enhances the capacities of urban management and emergency response. However, existing research mostly focuses on the textual content while mining this spatio-temporal information, often neglecting data from other modalities like images and videos.To address this, our study introduces a novel method for extracting spatio-temporal information from multi-modal social media data (MIST-SMMD), serving as a valuable supplement to current urban event monitoring methods. Leveraging deep learning and Geographic Information System (GIS) technologies, we extract spatio-temporal information from large-scale, multi-modal Weibo data about urban waterlogging events at both coarse and fine granularities.Through an in-depth experimental evaluation of the “July 20 Zhengzhou extreme rainstorm” event, the results show that in coarse-grained spatial information extraction solely using textual data, our method achieves a Spatial Precision of 87.54% within a 60m range and 100% Spatial Precision within a 201m range. In the fine-grained spatial information extraction, by incorporating other modalities such as images and videos, the Spatial Error saw a significant improvement, with MAESE increasing by 95.53% and RMSESE by 93.62%.These outcomes illustrate the capability of the MIST-SMMD method in extracting spatio-temporal information of urban events at both coarse and fine granularities. They also confirm the notable advantage of multi-modal data in enhancing the accuracy of spatial information extraction.
Navigation and Control of Motion Modes with Soft Microrobots for Drug Delivery at Low Reynolds Numbers
Authors: Kararsiz Gokhan , Duygu Yasin Cagatay , Wang Zhengguang , Rogowski Louis William , Park Sung Jea , Kim Min Jun
Published: May 2023

In this study, the motion characteristics of soft alginate microrobots were investigated with wireless magnetic fields in complex fluidic environments. Our aim is to explore the various motion modes that arise as a result of shear forces in viscoelastic fluids. Polyacrylamide (PAA), a water-soluble polymer, was characterized to produce a dynamic environment with a non-Newtonian fluid. The robots were fabricated by an extrusion-based microcentrifugal droplet method. We successfully demonstrated the feasibility of both wiggling and tumbling motions using snowman-shaped microbots. It is found that wiggling motion is primarily influenced by the interaction between the viscoelastic fluid environment and the non-uniform magnetization of the microbots. Additionally, it is discovered that modifying the viscoelasticity properties of the fluid can affect the motion behavior of the microbots. Furthermore, we observed that swarms of microbots exhibit non-uniform behavior within complex environments. Our velocity analysis has provided valuable insights into the relationship between applied magnetic fields and motion characteristics, enabling a more realistic understanding of surface locomotion in the context of targeted drug delivery.
Spectrum-Based Logistic Regression Modeling for the Sea Bottom Soil Categorization
Authors: Kushnir Uri , Frid Vladimir
Published: May 2023

The paper deals with applying Artificial Intelligence techniques to examine CHIRP-recorded data in sand and sandstone sea-bottom sites. The provided analysis of the state of the art portrays that actual time series or spectrum backscattered data from a point on the sea bottom were rarely used as the features for machine learning models. The results of the examination indicate that types of sea bottom can be quantitatively characterized by applying logistic regression models to either the backscatter time series of a frequency-modulated signal or the spectrum of that backscatter. The examination accuracy reached 90% for the time series and 94% for the spectra. The application of spectral data as features for more advanced machine learning algorithms, and the advantages of its combination with other types of data have great potential for future research and the enhancement of remote marine soil classification.
Unravelling the Immune Microenvironment in Classic Hodgkin Lymphoma: Prognostic and Therapeutic Implications
Authors: Georgoulis Vasileios , Papoudou-Bai Alexandra , Makis Alexandros , Kanavaros Panagiotis , Hatzimichael Eleftheria
Published: May 2023

Classic Hodgkin lymphoma (cHL) is a lymphoid neoplasm composed of rare neoplastic Hodgkin and Reed-Sternberg (HRS) cells surrounded by a reactive tumor microenvironment (TME) with suppressive properties against anti-tumor immunity. TME is mainly composed of T-cells (CD4 helper, CD8 cytotoxic and regulatory), and tumor-associated macrophages (TAMs) but the impact of these cells on the natural course of the disease is not absolutely understood. TME contributes to the immune evasion of neoplastic HRS cells through production of various cytokines and/or aberrant expression of immune checkpoint molecules, in ways that have not been fully understood yet. Herein, we present a comprehensive review of findings regarding the cellular components and the molecular features of the immune TME in cHL, its correlation with treatment response and prognosis as well as the potential targeting of the TME with novel therapies. Among all cells, macrophages appear to be a most appealing target for immunomodulatory therapies, based on their functional plasticity and antitumor potency.
A Grey Wolf Optimization Algorithm Based Optimum Reactive Power Dispatch with Distributed Generation Units
Authors: Varan Metin , Erduman Ali , Menevseoglu Furkan
Published: May 2023

Keeping the bus voltage within acceptable limits depends on dispatching reactive power. Power quality improves as a result of creating an effective power flow system, which also helps to reduce power loss. Therefore, Optimal Reactive Power Dispatch (ORPD) studies aim at designing appropriate system configurations to enable a reliable operation of power systems. Establishment of such a configuration is handled through control variables in power systems. On the other hand, installing Distributed Generation Unit (DGU) into a power system can have an important effect on power quality and power loss minimization. In this paper, Grey Wolf Optimization (GWO method is applied to ORPD problem for the first time, to find optimal placement of newly installed DGUs at the power system. Active power loss and voltage minimization have been minimized by optimizing the control variables while keeping them within their upper and lower bounds, and by finding the optimal placement of a newly installed DGU in power system. On the basis of IEEE 30 bus and IEEE 118 bus systems, performance of the suggested approach is investigated. A comparison is also performed among the proposed method and some other methods. Test results demonstrate that the resulting configuration contributes to growing the rate of renewable integration to a power system. The results also indicate that the suggested optimization approach applied to ORPD problem has improved power system performance in terms of both on power loss and voltage deviation. The promising results highlight the potential of the GWO algorithm to facilitate the integration of renewable power sources, and its role in promoting sustainable energy solutions.
Heat Shock Proteins HSP70: Viruses and Potential Role in Shrimp Immunity
Authors: Valentim-Neto Pedro Alexandre , Moser Juliana Righeto
Published: May 2023

Shrimps are under the influence of several environmental factors such as fluctuation of physical and chemical parameters of the water affected by variations in rainfall, temperature, salinity, and pH. These factors have also been identified as risk factors for shrimp disease outbreaks. Despite the high levels of production, shrimp producers suffered significant economic losses in years, mainly due to the presence of diseases that now plague the industry. In particular, viral diseases have had and will continue to have profound impact on industry growth. In response to stress such environmental or pathophysiological, cells are able to up regulating selectively the expression of a protein group known as Heat Shock Proteins (HSPs). In a recent search at the literature we observed a close relation between HSP70 with apoptotic proteins and others stress proteins such HSP60 and HSP90. Moreover, the response of shrimp to viral stress was examined, some of which are correlated to the reactions of HSP70. Thus, the aim of this review is to describe the current knowledge on the status of stress responses in shrimps, particularly HSP70 responses, triggered by viruses.
Size Matters? A Comprehensive In Vitro Study of the Impact of Particle Size on the Toxicity of ZnO
Authors: Mitjans Montserrat , Marics Laura , Bilbao Marc , Maddaleno Adriana S. , Piñero Juan Jose , Vinardell M. Pilar
Published: May 2023

This study describes a comparative in vitro study of the toxicity behavior of zinc oxide (ZnO) nanoparticles and micro-sized particles. The study aimed to understand the impact of particle size on ZnO toxicity by characterizing the particles in different media, including cell culture media, human plasma, and protein solutions (bovine serum albumin and fibrinogen). The study used various techniques such as atomic force microscopy (AFM), transmission electron microscopy (TEM), and dynamic light scattering (DLS) to characterize the particles and their interactions with proteins. Hemolytic activity, coagulation time, and cell viability assays were used to assess ZnO toxicity. The results highlight the complex interactions between ZnO NPs and biological systems, including their aggregation behavior, hemolytic activity, protein corona formation, coagulation effects, and cytotoxicity. Moreover, the study indicates that ZnO nanoparticles are not more toxic than micro-sized particles, and the 50 nm particles resulted in general the least toxic. Furthermore, the study found that at low concentrations, no acute toxicity was observed. Overall, this study provides important insights into the toxicity behavior of ZnO particles and highlights that no direct relationship between nanometer size and toxicity can be directly attributed.
Novel Functional Features of cGMP Substrate Proteins IRAG1 and IRAG2
Authors: Prüschenk Sally , Majer Michael , Schlossmann Jens
Published: May 2023

The inositol triphosphate associated proteins IRAG1 and IRAG2 are cGMP kinase substrate proteins, which regulate intracellular Ca2+. Previously, IRAG1 was discovered as a 125 kDa membrane protein at the endoplasmic reticulum, that is associated with the intracellular Ca2+ channel IP3R-I and the PKGIβ and inhibits IP3R-I upon PKGIβ-mediated phosphorylation. IRAG2 is a 75 kDa membrane protein homologue of IRAG1 and was recently also determined as a PKGI substrate protein. Several (patho-)physiological functions of IRAG1 and IRAG2 were meanwhile and recently elucidated in a variety of human and murine tissues, e.g. of IRAG1 in various smooth muscles, heart, platelets and other blood cells, of IRAG2 in pancreas, heart, platelets and taste cells. Hence, lack of IRAG1 or IRAG2 leads to diverse phenotypes in these organs, e.g. smooth muscle and platelet disorders or secretory deficiency, respectively. This review aims to highlight the recent research regarding these both regulatory proteins to envision its molecular and (patho-)physiological tasks and to unravel its functional interplay as possible (patho-)physiological counterparts.
Examining Sustainability Supply Chain Management (SSCM) Performance In The Palm Oil Industry: A Systematic Literature Review
Authors: Adwiyah Rabiatul , Syaukat Yusman , Indrawan Dikky , Mulyati Heti
Published: May 2023

Indonesia has emerged as one of the leading producers and exporters of palm oil, as supported by data from the Central Bureau of Statistics in 2021, which indicate that Indonesian palm oil exports reached an impressive value of US$ 18.44 billion, or IDR 258 trillion, in 2020, marking an 18.43 percent growth compared to the previous year. Furthermore, the domestic market for palm oil and palm kernel oil remains substantial, despite improvements in export quantities. Various industries, including cooking oil refineries, specialty fats, shortening, margarine, bath soaps, and oleochemicals, present potential markets for palm oil (CPO) and palm kernel oil (PKO). The palm oil industry encompasses four related sub-sectors, namely growers, millers, refiners, and oleochemicals, forming an integrated value chain from upstream to downstream. The current focus on environmental, economic, and social sustainability is driving companies to adopt internal green activities and expand their efforts into sustainability supply chain management (SSCM). Implementing SSCM practices is often seen as economically beneficial, as research has demonstrated their positive impact on firm performance from a resource perspective. Within the palm oil industry, a wide range of green management applications are being utilized. This study aims to examine and highlight the existing sustainable management practices across the entire palm oil supply chain, with a particular emphasis on producing high-quality palm oil. To achieve this objective, the paper utilizes a systematic review methodology, The number of papers analyzed were 62 articles published which involves an extensive review of relevant literature to identify research trends, gaps, and issues. The study seeks to contribute to the body of knowledge by expanding the theory of organizational readiness in preparing globally competitive palm oil products. The research findings hold practical significance for practitioners and academics, providing a comprehensive roadmap for implementing green management applications at the organizational level in the palm oil industry's upstream-to-downstream chain.
Microbiome-Gut-Mucosal-Immune-Brain Axis and Autism Spectrum Disorder (ASD): A Novel Proposal of the Role of Gut Microbiome in ASD Aetiology
Authors: De Sales-Millán Amapola , Aguirre-Garrido José Félix , González-Cervantes Rina María , Velázquez-Aragón Jose Antonio
Published: May 2023

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterised by poor social interaction and communication, as well as restricted and stereotyped interests. Due of the high prevalence of gastrointestinal disorders in individuals with ASD, researchers have investigated the gut microbiota as a potential contributor to its aetiology. The relationship between the microbiome, gut, and brain (microbiome-gut-brain axis) has been acknowledged as a key factor in modulating brain function and social behaviour, but its connection to the aetiology of ASD is not well understood. Recently, there has been increasing attention on the relationship between the immune system, gastrointestinal disorders, and neurological issues in ASD, particularly in relation to the loss of specific species or a decrease in microbial diversity. It focuses on how gut microbiota dysbiosis can affect gut permeability, immune function, and microbiota metabolites in ASD. Although a very complete study suggests that dysbiosis is a consequence of the disease and that it has practically no effect on autistic manifestations. This is a review of the relationship between the immune system, microbial diversity, and the microbiome-gut-brain axis in the development of autistic symptoms severity and, a proposal of a novel role of gut microbiome in ASD, where dysbiosis is a consequence of ASD-related behaviour and where dysbiosis in turn accentuates the autistic manifestations of the patients via microbiome-gut-brain axis in a feedback circuit.
Evaluating Influencing Factors of Audiences’ Attitude in Virtual Concerts: Evidence from China
Authors: Deng Jing , Pan Younghwan
Published: May 2023

The purpose of this study is to investigate and validate the influencing factors of audiences’ attitude toward virtual concerts. To address this issue, the current study proposes a conceptual model integrating player experiences’ factors (autonomy, relatedness, and engagement) and the technology acceptance model (perceived usefulness, perceived ease of use, and perceived enjoyment). An online questionnaire on virtual concert experiences was distributed to Chinese audiences who had attended virtual concerts. Structural equation modeling was then used to establish the relationship between variables. The results suggested autonomy, relatedness and engagement positively impacted perceived usefulness, perceived ease of use, and perceived enjoyment. Furthermore, the perceived usefulness, perceived ease of use, and perceived enjoyment were significant predictors of audiences’ attitude. The findings of this study can provide a reference for relevant virtual entertainment providers and can also serve as a point of development and exploration for technology acceptance model and player experience in the field of virtual concerts.
3D Bioprinting of Natural-Derived Hydrogels for the Production of Biomimetic Living Tissues: Benefits and Challenges
Authors: Merotto Elena , Pavan Piero G. , Piccoli Martina
Published: May 2023

3D bioprinting is the process of manipulating cell-laden bioinks to fabricate living structures. 3D bioprinting techniques have brought considerable innovation in biomedicine, especially in the field of tissue engineering, allowing the production of 3D organ and tissue models for in vivo transplantation purposes or for in-depth and precise in vitro analyses. Natural-derived hydrogels, especially those obtained from the decellularization of biological tissues, are promising bioinks for 3D printing purposes, as they present the best biocompatibility characteristics. Despite this, many natural hydrogels do not possess the necessary mechanical properties to allow a simple and immediate application in the 3D printing process. In this review, we focus on the bioactive and mechanical characteristics that natural hydrogels may possess to allow efficient production of organs and tissues for biomedical applications, emphasizing the reinforcement techniques to improve their biomechanical properties.
Butterflies of the Neotropical Seasonally Dry Forest of Montes de María (Sucre, Colombia): What do they Tell us about the Intermediate Disturbance Hypothesis?
Authors: Mercado-Gómez Yarlenis L , Mercado-Gómez Jorge D , Giraldo-Sánchez Carlos E
Published: May 2023

Montes de María is the best-preserved tropical dry forest fragment in the Colombian Caribbean, making it an ideal location for studying the impacts of human disturbance on local ecosystems. This study analyzed the ecological structure of diurnal butterflies in both forested and disturbed areas using 16 circular plots to identify relationships between alpha and beta diversity, and the geographic distance between disturbed areas and native forests, using a range of metrics, including range-abundance and rarefaction curves, nonlinear models, and the Bray–Curtis dissimilarity index. Results revealed three distinct species assemblages associated with forest, intermediate disturbed areas (IDA), and disturbed areas (DA). Nonlinear models show that IDA are more diverse than forest and DA. However, forests have more beta diversity among plots than IDA and DA. Indicator species for each butterfly assemblage were also identified. Thus, although new butterfly species assemblages emerge from a new human land-scape, it is clear that species that only occur within dry forest fragments are lost when forest fragments disappear. Overall, these findings have important implications for conservation efforts and understanding how human disturbance affects biodiversity in tropical ecosystems.
Comparison Between Cultivated Oral Mucosa and Ocular Surface Epithelia for COMET Patients Follow-up.
Authors: Attico Eustachio , Galaverni Giulia , Torello Andrea , Bianchi Elisa , Bonacorsi Susanna , Losi Lorena , Manfredini Rossella , Lambiase Alessandro , Rama Paolo , Pellegrini Graziella
Published: May 2023

Total bilateral Limbal Stem Cells Deficiency is a pathologic condition of the ocular surface due to the loss of corneal stem cells. Cultivated Oral Mucosa Epithelial Transplantation (COMET) is the only autologous successful treatment for this pathology in clinical application, although non-physiological peripheric corneal vascularization often occurs. Properly characterizing the regenerated ocular surface is needed for a reliable follow-up. So far, the univocal identification of transplanted oral mucosa had been challenging. Previously proposed markers were shown co-expressed by the different ocular surface epithelia in a homeostatic or perturbated environment. In this study, we compared the transcriptome profile of human oral mucosa, limbal and conjunctival cells, identifying PITX2 as a new marker that univocally distinguishes the transplanted oral tissue from the other epithelia. We validated PITX2 at RNA and protein levels to investigate 10-year follow-up cor-neal samples derived from a COMET-treated aniridic patient. Moreover, we found novel angiogenesis-related factors differentially expressed in the three epithelia and instrumental in explaining the neovascularization in COMET-treated patients. These results will support the follow-up analysis of patients transplanted with oral mucosa and provide new tools to understand the regeneration mechanism of the transplanted cornea.
Low-Code Machine Learning Platforms: A Fastlane to Digitalization
Authors: Raghavendran Krishna Raj , Elragal Ahmed
Published: May 2023

In the context of developing machine learning models, until and unless we have the required data engineering and machine learning development competencies as well as the time to train and test different machine learning models and tune their hyperparameters, it is worth trying out the automatic machine learning features provided by several cloud-based and cloud-agnostic platforms. This paper explores the possibility of generating automatic machine learning models with low-code experience. We have developed criteria to compare different machine learning platforms for generating automatic machine learning models and presenting their results. Thereafter, lessons learned by developing automatic machine learning models from a sample dataset across four different machine learning platforms were elucidated. We have also interviewed machine learning experts to conceptualize their domain-specific problems that automatic machine learning platforms could address. Results showed that automatic machine learning platforms could provide a fast track for organizations seeking digitalization of their businesses. Automatic machine learning platforms help produce results, especially for time-constrained projects where resources are lacking. The contribution of this paper is in the form of a lab experiment in which we demonstrate how low-code platforms could provide a viable option to many business cases and henceforth provide a lane that is faster than the usual hiring and training of already scarce data scientists and to analytics projects that suffer from overruns.
Influence of Body Heat Loss on Temperature and Velocity Fields in a Whole-Body Cryotherapy Chamber
Authors: Elfahem Rim , Bouchet Bastien , Abbes Boussad , Polidori Guillaume , Beaumont Fabien
Published: May 2023

This study aims to investigate the impact of body heat loss on the thermal and aerodynamic conditions in a whole-body cryotherapy chamber. The underlying hypothesis is that the heat generated by the human body alters the thermal and aerodynamic environment inside the cabin. A numerical study was conducted to test this hypothesis to analyze the thermodynamic exchanges between the human body and the cabin during a 3-minute whole-body cryotherapy session. The computational fluid dynamics (CFD) approach was used to study the unsteady heat transfer between the human body and the interior of the cryotherapy cabin. A thermal boundary condition, based on a mathematical model developed from experimental data, was applied to simulate skin cooling kinetics over time. The post-processing of the 3D results, including temperature, velocity fields, and thermal flux maps at the body surface, provided insight into the thermo-convective mechanisms involved in a whole-body cryotherapy session. The study found that body heat loss significantly affects the temperature fields inside the cabin, leading to global modifications of the aeraulic and thermal conditions. These findings suggest that cryotherapy protocols may need to be adjusted or the cabin set temperature optimized to enhance the therapeutic benefits.
Synthesis of MWCNTs/Activated Carbon-Based Supercapacitor Electrode Composite and Analysis Using a Three-Electrode System with Various Electrolyte Concentrations
Authors: Subagio Agus , Taufiq Heydar Ruffa , Sutanto Heri , Diantoro Markus , Luthfiyah Ishmah , Purwanto Agus , Meevasana Worawat
Published: May 2023

Along with the rapid development of technology and industry, the need for energy storage has become fundamental. One promising energy storage devices is the supercapacitor. Several type supercapacitors are available, one of which is the electrical double-layer capacitor made from carbon graphite and multiwalled carbon nanotubes (MWCNTs). In this study, we combined these two materials into a working electrode in a three-electrode system. In the morphological analysis using scanning electron microscope, transmission electron microscope, and X-ray diffraction, the two materials were found to have formed a composite on the surface. In the electrochemical analysis, two types of testing were conducted using cyclic voltammetry and electrochemical impedance spectroscopy. Electrochemical analysis was carried out on five electrolyte concentrations of Na2SO4 from 1 to 6 M. The capacitance produced at concentrations of 1, 2, 3, 4, and 5 M were 34.395, 35.808, 46.284, 49.502, and 76.815 F/g, respectively. At an electrolyte concentration of 5 M Na2SO4, an energy density of 27.312 Wh/Kg and a power density of 343.786 W/Kg were produced. Meanwhile on concentration of 6 M, the surface of the electrode was damaged.
Pharmacological Modulation of Energy and Metabolic Pathways Protects Hearing in the Fus1 KO Model of Mitochondrial Dysfunction and Oxidative Stress
Authors: Tan Winston JT , Santos-Sacchi Joseph , Tonello Jane , Shanker Anil , Ivanova Alla V
Published: May 2023

Tightly regulated and robust mitochondrial activities are critical for normal hearing. Previously, we demonstrated that Fus1 KO mice with mitochondrial dysfunction exhibit premature hearing loss. Molecular analysis of the cochlea revealed hyperactivation of the mTOR pathway, oxidative stress, altered mitochondrial morphology and quantity, suggesting compromised energy sensing and production. Here, we investigated whether pharmacological modulation of metabolic pathways using rapamycin (RAPA) or 2-deoxy-D-glucose (2-DG) supplementation can protect against hearing loss in female Fus1 KO mice. Additionally, we aimed to identify mitochondria- and Fus1-dependent molecular pathways and processes critical for hearing. We found that inhibiting mTOR or activating alternative mitochondrial energetic pathways to glycolysis protected hearing in the mice. Comparative gene expression analysis revealed dysregulation of critical biological processes in the KO cochlea, including mitochondrial metabolism, neural and immune responses, and cochlear hypothalamic–pituitary–adrenal axis signaling system. RAPA and 2-DG mostly normalized these processes, although some genes showed a drug-specific response or no response at all. Interestingly, both drugs resulted in a pronounced upregulation of critical hearing-related genes not altered in the non-treated KO cochlea, including cytoskeletal and motor proteins, and Ca2+-linked transporters and voltage-gated channels. These findings suggest that pharmacological modulation of mitochondrial metabolism and bioenergetics may restore and activate processes critical for hearing, thereby protecting against hearing loss
Injectable Hydrated Calcium Phosphate Bone-Like Paste: synthesis, In Vitro and In Vivo Biocompatibility Assessment
Authors: Teterina Anastasia Yu. , Minaychev Vladislav V. , Smirnova Polina V. , Kobiakova Margarita I. , Smirnov Igor V. , Fadeev Roman S. , Egorov Alexey A. , Ashmarin Artem A. , Pyatina Kira V. , Senotov Anatoliy S. , Fadeeva Irina S. , Komlev Vladimir S.
Published: May 2023

The injectable hydrated calcium phosphate bone-like paste (hCPP) have been developed with suitable nanoscale characteristics and unindered injection through 23G standard needles. In vitro assays showed the cytocompatibility of hCPP with mesenchymal embryonic C3H10T1/2 cell cultures. The hCPPs were identified to be composed of aggregated nano-sized particles with sphere-like shapes with low crystallinity. The ability of serum proteins (FBS) to adsorb on hCPP particles was also studied. The hCPP demonstrated high protein adsorption capacity, thereby indicating its potential in various biomedical applications. The results of the in vivo assay upon subcutaneous injection in Wistar rats indicated the nontoxicity and biocompatibility of experimental hCPP, as well as the gradual resorption of hCPP, comparable to the period of bone regeneration. The data obtained are of great interest for the development of commercial highly effective osteoplastic materials for bone tissue regeneration and augmentation.
Pengaruh Persepsi Harga, E-Promosi, dan Citra Merek Terhadap Keputusan Pembelian Fashion Lokal
Authors: Herdian Akbar  , Osly Usman  , Dewi Agustin Pratama Sari
Published: May 2023

ABSTRACT

This study aims to determine the effect of price perception, e-promotion, and brand image on purchasing decisions of 3Second products. This study using quantitative method, and a questionnaire instrument to collect data. The object of this research has 236 respondents who have bought 3Second products or respondents who have a desire to buy 3Second products. The data analysis used in this research is using SPSS applications to process and analyze research data. The results of hypothesis test showed that price perception, e-promotion, and brand image has a positive and significant effect on purchase decision.

Keyword: Price Perception, E-Promotion, Brand Image, Purchase Decision

 

ABSTRAK

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi harga, e-promosi, dan citra merek terhadap keputusan pembelian produk 3Second. Penelitian ini menggunakan metode kuantitatif, dan instrumen kuesioner untuk memperoleh data. Objek penelitian ini memiliki 236 responden yang pernah membeli atau memiliki keinginan membeli produk 3Second. Analisis data yang digunakan dalam penelitian ini yaitu menggunakan aplikasi SPSS untuk mengolah dan menganalisis data hasil penelitian. Hasil dari uji hipotesis menunjukkan bahwa persepsi harga, e-promosi, dan citra merek memiliki pengaruh positif dan signifikan terhadap keputusan pembelian.

Kata kunci: Persepsi Harga, E-Promosi, Citra Merek, Keputusan Pembelian
Pengaruh Brand Image dan Trust terhadap Customer Loyalty Pelanggan Kopi di Jakarta dengan Customer Satisfaction sebagai Variabel Intervening
Authors: Ervina Kusuma Wardani  , Ika Febrilia  , Rahmi
Published: May 2023

ABSTRACT

Domestic coffee consumption has increased significantly, which is around 6%-8% per year. As a result, coffee shops mushroomed in Indonesia, one of the most popular is Kopi Kenangan. This study aims to examine the effect of brand image and brand trust on customer loyalty with customer satisfaction as an intervening variable for customers aged 17-40 years who consume Kopi Kenangan in Jakarta. In this study, the sampling technique used purposive sampling with a total of 210 respondents obtained. The data processing is done using SEM (Structural Equation Model). The results show that brand image affects customer satisfaction, brand trust affects customer satisfaction, brand image affects customer loyalty, brand trust affects customer loyalty, customer satisfaction affects customer loyalty. Brand image influence on customer loyalty with customer satisfaction as the intervening variable and brand trust influence on customer loyalty with customer satisfaction as the intervening variable.

ABSTRAK

Konsumsi kopi dalam negeri mengalami peningkatan yang signifikan, yaitu sekitar 6%-8% per tahun. Alhasil, kedai kopi banyak menjamur di Indonesia, salah satu yang paling populer adalah Kopi Kenangan. Penelitian ini bertujuan untuk mengkaji pengaruh brand image dan brand trust terhadap loyalitas pelanggan dengan kepuasan pelanggan sebagai variabel intervening pada pelanggan usia 17-40 tahun yang mengkonsumsi Kopi Kenangan berdomisili di Jakarta. Pada penelitian ini teknik pengambilan sampel menggunakan purposive sampling dengan total diperoleh 210 responden dengan survei sebagai metode penelitian. Pengolahan data dilakukan dengan menggunakan SEM (Structural Equation Model). Hasil penelitian menunjukkan bahwa brand image mempengaruhi kepuasan pelanggan, brand trust mempengaruhi kepuasan pelanggan, brand image mempengaruhi loyalitas pelanggan, brand trust mempengaruhi loyalitas pelanggan, kepuasan pelanggan mempengaruhi loyalitas pelanggan. Brand image berpengaruh terhadap customer loyalty dengan customer satisfaction sebagai variabel intervening dan brand trust berpengaruh terhadap customer loyalty dengan customer satisfaction sebagai variabel intervening.
Pengaruh E-Promotion, E-Service Quality terhadap Repurchase Intention melalui E-Word of Mouth: Studi pada Aplikasi Coffee Shop di DKI Jakarta
Authors: Reza Setya Pratama  , Agung Kresnamurti Rivai P  , Andi Muhammad Sadat
Published: May 2023

ABSTRACT

This study aims to determine the effect of e-promotion on repurchase intention, the effect of e-service quality on repurchase intention, e-word of mouth on repurchase intention, e-promotion on e-word of mouth, e-service quality on e-word of mouth. mouth, e-promotion of repurchase intention through e-word of mouth, e-service quality of repurchase intention through e-word of mouth, to Kopi Kenangan consumers in DKI Jakarta. The data collection method used is a survey method using a questionnaire instrument. The research sample collected was 255 respondents who are Kopi Kenangan consumers and have made purchases through the Kopi Kenangan application at least twice in the last six months. The software used in this research is SPSS and SEM (Structural Equation Model) from LISREL. The results of hypothesis testing indicate that there is a positive and significant relationship on all hypotheses.

 

ABSTRAK

Pada studi kali ini memiliki tujuan untuk mencari pengaruh e-promotion ke repurchase intention, pengaruh e-service quality ke repurchase intention, e-word of mouth terhadap repurchase intention, e-promotion ke e-word of mouth, e-service quality ke e-word of mouth, e-promotion terhadap repurchase intention melalui e-word of mouth, e-service quality ke repurchase intention melalui e-word of mouth, pada konsumen Kopi Kenangan di DKI Jakarta. Cara yang digunakan untuk mencari data yang digunakan adalah survey dengan memakai instrument formulir. Sampel penelitian yang dikumpulkan berjumlah 255 responden yang merupakan konsumen Kopi Kenangan dan pernah melakukan pembelian melalui aplikasi Kopi Kenangan minimal dua kali. Software yang dipakai pada studi kali ini yaitu SPSS dan SEM (Structural Equation Model) dari LISREL. Hasil uji hipotesis dikethaui bahwa adanya pengaruh yang baik dan signifikan untuk semua hipotesis.
Pengaruh Literasi Keuangan, Stress Keuangan, dan Toleransi Risiko terhadap Kepuasan Keuangan Generasi Milenial di Jakarta Pada Pengguna Dompet Digital
Authors: Amalia  , Buchdadi Agung Dharmawan , Kurnianti Destria
Published: May 2023

ABSTRACT

This study empirically tests the effect of financial literacy, financial stressors, and risk tolerance on the financial satisfaction of the millennial generation in Jakarta using digital wallets. The data analysis method in this study uses Partial Least Square - Structural Equation. This study used a sample of 130 respondents. The data collection technique in this study used a questionnaire distributed to the millennial generation in Jakarta. The results of this study indicate that there is a positive and significant relationship between financial literacy and financial satisfaction, then there is an insignificant relationship between financial stress and financial satisfaction, and between risk tolerance and financial satisfaction in the millennial generation in Jakarta digital wallet users.

 

 

ABSTRAK

Tujuan dari penelitian ini adalah untuk menguji secara empiris pengaruh financial literacy, financial stressor, dan risk tolerance terhadap financial satisfaction generasi millennial di Jakarta pengguna dompet digital. Metode analisis data dalam penelitian ini menggunakan Partial Least Square – Structural Equation. Penelitian ini menggunakan sampel sebanyak 130 responden. Teknik pengambilan data pada penelitian ini menggunakan kuisioner yang disebar pada generasi milenial di Jakarta. Hasil dari penelitian ini menunjukkan bahwa terdapat hubungan yang positif dan signifikan antara literasi keuangan dan kepuasan keuangan, lalu tidak terdapat hubungan signifikan antara stress keuangan dan kepuasan keuangan, dan antara toleransi risiko dan kepuasan keuangan pada generasi milenial di Jakarta pengguna dompet digital.
Pengaruh Social Media Marketing, Brand Equity, dan Perceived Value Terhadap Continuance Intention pada Pengguna Marketplace di Jakarta
Authors: Pratiwi Bela , Andi Muhammad Sadat  , Terrylina Arvinta Monoarfa
Published: May 2023

ABSTRACT

This study aims to determine the effect of social media marketing on brand equity, the effect of social media marketing on perceived value, the influence of social media marketing on customer satisfaction, the effect of brand equity on customer satisfaction, the effect of perceived value on customer satisfaction, the effect of customer satisfaction on user continuance intention of a marketplace in Jakarta. The survey method with the instrument in the form of a questionnaire is a data collection method used by researchers using a non-probability sampling technique with a convenience sampling method and also reinforced using an expert sampling technique. The sample of this research is 205 respondents who have shopped using a marketplace at least five times in the last six months and are Jakarta residents aged 17-44 years. Data analysis using SPSS version 25 and SEM (Structural Equation Model) from AMOS software version 26 to process and analyze research data. The results of this study indicate: 1) social media marketing has a significant effect on brand equity, 2) social media marketing has a significant effect on perceived value, 3) brand equity has a significant effect on customer satisfaction, 4) perceived value has a significant effect on customer satisfaction, 5) satisfaction significant effect on continuance intention.

 

 

ABSTRAK

Penelitian ini bertujuan untuk mengetahui pengaruh social media marketing terhadap brand equity, pengaruh social media marketing terhadap perceived value, pengaruh social media marketing terhadap customer satisfaction, pengaruh brand equity terhadap customer satisfaction, pengaruh perceived value terhadap customer satisfaction, pengaruh customer satisfaction terhadap continuance intention pengguna marketplace di Jakarta. Metode survei dengan instrument berupa kuesioner merupakan metode pengumpulan data yang digunakan peneliti menggunakan teknik sampel nonprobability sampling dengan metode convenience sampling dan juga diperkuat menggunakan teknik expert sampling. Sampel penelitian ini adalah 205 responden yang telah berbelanja menggunakan marketplace minimal lima kali dalam kurun waktu enam bulan terakhir dan merupakan warga Jakarta dengan usia 17-44 tahun. Data analisis menggunakan SPSS versi 25 dan SEM (Structural Equation Model) dari software AMOS versi 26 untuk mengolah dan menganalisa data hasil penelitian. Hasil penelitian ini menunjukkan: 1) social media marketing berpengaruh signifikan terhadap brand equity, 2) social media marketing berpengaruh signifikan terhadap perceived Value, 3) brand equity berpengaruh signifikan terhadap customer satisfaction, 4) perceived value berpengaruh signifikan terhadap customer satisfaction, 5) satisfaction berpengaruh signifikan terhadap continuance intention.
Pengaruh Kecenderungan Mengambil Risiko, Kebutuhan akan Prestasi dan Efikasi Diri terhadap Intensi Berwirausaha Mahasiswa di Jabodetabek
Authors: Anna Octaviani  , Corry Yohana  , Aditya Pratama
Published: May 2023

ABSTRACT

The purpose of this study is to ascertain the influence of the proclivity to take risks on entrepreneurial ambitions, ascertain the effect of the demand for accomplishment on entrepreneurial intentions, and ascertain the effect of self-efficacy on entrepreneurial intentions. This study's population consists of Jabodetabek students. The sampling method employs probability sampling with up to 150 samples. IBM SPSS 22 is used for data analysis. Multiple Linear Regression is a technique used in data analysis. The findings revealed that the proclivity to take risks had a favorable and substantial influence on entrepreneurial inclinations. The urge for accomplishment has a favorable and considerable impact on entrepreneurial inclinations. Self-efficacy has no positive and negligible influence on entrepreneurial inclinations.

 

 

ABSTRAKi

Tujuan penelitian ini adalah untuk mengetahui pengaruh kecenderungan mengambil risiko terhadap ambisi berwirausaha, mengetahui pengaruh tuntutan prestasi terhadap niat berwirausaha, dan memastikan pengaruh efikasi diri terhadap intensi berwirausaha. Populasi penelitian ini adalah mahasiswa Jabodetabek. Metode pengambilan sampel menggunakan probability sampling hingga 150 sampel. IBM SPSS 22 digunakan untuk analisis data. Regresi Linear Berganda adalah teknik yang digunakan dalam analisis data. Temuan mengungkapkan bahwa kecenderungan mengambil risiko memiliki pengaruh yang menguntungkan dan substansial pada kecenderungan kewirausahaan. Kebutuhan akan berprestasi memiliki dampak yang menguntungkan dan cukup besar pada kecenderungan kewirausahaan. Efikasi diri tidak memiliki pengaruh positif dan tidak signifikan pada intensi berwirausaha.