Enormous Potential In Terms Research Articles

The Influence of Risk and The Crowdfunding Ecosystem on Investment Decision Behavior: The Role of Financial Literacy

One way to support the government's smooth running of inclusive economic development is to help MSMEs (Micro, Small, and Medium Enterprises) gain access to funding. Along with technological developments, there is a new way for people to obtain external funding, namely through Crowdfunding Services. Crowdfunding has enormous potential in terms of helping people (especially MSMEs) to get external funds to develop their businesses. This research aims to analyze the influence of risk and the crowdfunding ecosystem on investment decision behavior in several crowdfunding companies in Indonesia with financial literacy as a moderating variable. The objectives of the research will be achieved using a problem-solving approach empirical and quantitative analysis. The research results show that risk and the crowdfunding ecosystem have a significant influence on investment decision behavior. The results of this research will be distributed to member companies of the Indonesian Sharia Fintech Association (AFSI) and it is hoped that it will provide information that helps them make decisions.

Wearable macro-bend optical fiber sensor for biomechanical motion evaluation

The biocompatibility and other unique physical properties of optical fibers reflect their potential for use in biomechanical motion sensing. In this paper, a wearable macro-bending structure fiber sensor has been fabricated and its potential is demonstrated for observing key motions during physical therapy for patients with joint stiffness. The sensor's performance has been evaluated by integrating it into elbow and knee joint phantoms and measuring its response to various elbow and knee joint movements in the range of 0°-90°. The recorded sensing data revealed the extra sensitivity of −0.457 nm/° with linear regression coefficients (R2) of more than 98.7 % for elbow flexion angle and a 0.506 nm/° sensitivity with a high linear regression coefficient (R2) of ∼ 99.6 % for knee flexion angle. Additionally, good reproducibility and swift response facility were demonstrated during the experiment, indicating that the designed sensor possesses enormous potential in terms of different body motion monitoring applications, even subtle ones. The results show that the sensor’s high sensitivity leads to a very good correlation between the sensor's output and the actual elbow joint movement.

Empirical study on design and development of hand-crafted footwear

With its enormous potential in terms of employment, growth, and exports, the footwear industry is an important player in the Indian context, and can contribute to the nation's economic development. It is worth noting here that leather footwear in Kolhapuri style has a distinguished history spanning hundreds of years. This craft style is a labor-intensive production process in which the primitive nature of the tools and equipment are used. In the present context, this craft style is about to go extinct because of artisans' declining interest. The present study reports an attempt to improve the manufacturing procedure and productivity without changing the fundamental nature of the craft (its actual essence). The study reports on the local craft cluster's efforts to rethink the craft style in terms of technological interventions, skill development, product diversification, commercial opportunities, etc. Further, the study reports the necessity of conducting social workshops on design innovations. The study advocates the revitalization of Kolhapur's identity and the need for acceleration of this dying craft.

Thermodynamic and nonlinear optical analysis of solid-state multipass cells for compression of picosecond pulses in the 2−μm range

Multipass cells (MPCs) recently emerged as a new femtosecond pulse compression technique for lasers with high pulse energy. While most of the work focused on the compression of near-infrared laser systems so far, we address the case of holmium-based gain materials, which offer an enormous potential in terms of pulse energy, yet can only host a very narrow bandwidth in the 2-$\ensuremath{\mu}\text{m}$ wavelength range. Compression into the few-cycle regime, therefore, requires at least a hundredfold spectral broadening. Specifically, we investigate the utility of four different solid-state materials in the MPC, namely, fused silica, sapphire, YAG, and diamond. Spectral broadening dynamics is numerically investigated using the $2D+1$-unidirectional pulse propagation equation. To this end, we put particular emphasis on the thermal properties of the nonlinear optical material, which turn out as a critical issue above 2-$\ensuremath{\mu}\text{m}$ wavelength. Solving the heat equation for each of the materials, we then estimate the maximum temperature at beam center. These considerations show that outside the near infrared, thermodynamic parameters of nonlinear optical materials become at least equally important as their optical properties. Among the four materials under test, in particular, diamond stands out as it combines highly favorable thermal properties with a large optical nonlinearity. Finally, a concomitant slow degradation of spatial coherence is monitored. Our findings provide an effective guideline for the design of high pulse-energy compressors at wavelengths of $2\phantom{\rule{0.16em}{0ex}}\ensuremath{\mu}\text{m}$ and beyond.

Combustion rate shaping for flex-fuel applications

Compliance with future greenhouse gas (GHG) and pollutant emissions poses major challenges for the further development of advanced internal combustion engines for light and heavy-duty applications. To meet all standards, the use of synthetic fuels and/or E-Fuels is an important alternative due to their enormous potential in terms of energy density, sustainability and low pollution combustion. However, the increased fuel diversity associated with the use of these alternative fuels adds an additional layer of complexity to the powertrain development and calibration process, resulting in an increase in development time and cost. This necessitates the application of advanced model-based closed-loop control strategies to optimize the fuel- and air-path calibration to make best use of the properties of the different fuels. One potential solution to address the impact of flex-fuel variances on the combustion process is the Combustion Rate Shaping (CRS) concept presented in this paper. It can maintain a desired combustion trace irrespective of fuel variations, hardware drifts and other external factors, thus ensuring optimal combustion. The highest benefit of this control concept comes from its application directly on the engine control unit (ECU) in combination with an in-cylinder measurement. This enables the online real-time control of the combustion, regardless of which fuel is being used. In addition, this also enables optimization and adaption of the fuel- and air-path settings to the used fuel while driving the vehicle. However, so far, the high computational cost of this control concept limits its real-time capability. Therefore, the optimization of the control concept to achieve real-time capability is the focus of this paper. The optimized control strategy is implemented on a demonstrator engine test bench built using a Rapid Control Prototyping (RCP) system. The controller performance is demonstrated both under steady-state and transient operating conditions, and the potential of the concept is demonstrated in several cases such as engine temperature variations, injector drift, individual cylinder balancing, and fuel-variation.

Fire Retardancy of Cementitious Panels with Larch and Spruce Bark as Bio-Admixtures.

The aim of this study is to investigate the production of fire-resistant panels made out of bark from spruce (Picea abies), larch (Larix decidua Mill.) and cement. This research included test panels produced from bark, cement, water and cement-bonded recycling material aiming for the target density of 750 kg/m3. The physical (density, dimension stability, thickness swelling) and mechanical properties such as tensile strength and compressive strength together with fire resistance were tested. Considering the results, appealing values have been achieved: max. compressive strength: 3.42 N/mm2; max. thickness swelling: 5.48%; and density: 515 to 791 kg/m3. In principle, the properties of the produced panels depend not only on the density, but also on the hydration and, above all, on the compaction and the composition of the boards. The fire tests demonstrated that the produced panels have an enormous potential in terms of fire resistance and could be utilized for fire-retardant applications.

Controversial effects of tourism on economic growth: A spatial analysis on Italian provincial data

The aim of the paper is to estimate the contribution of tourism to per capita GDP growth taking into account the congestion that could arise from an excess of presences. The interaction of tourism with the territory is captured by a novel indicator of tourism pressure based on both the pre-existing congestion and the economic contribution the tourism sector provides to the resident population. Spatial analyses detecting interdependences across Italian data at NUTS3 level (2005–2018) reveal, as foreseeable, that tourism exerts beneficial effects on growth. However, the pressure indicator proves also the existence of nonlinear effects suggesting that an excess of tourism is detrimental for per capita income in the observed area and, due to the presence of spatial spillover, also in adjacent territories. Results provide the opportunity to reflect on the circumstance that tourism has an enormous potential in terms of growth effects, but it can be exploited until it comes into conflict with the needs of the resident population.

Review on Deep Learning Research and Applications in Wind and Wave Energy

Wind energy and wave energy are considered to have enormous potential as renewable energy sources in the energy system to make great contributions in transitioning from fossil fuel to renewable energy. However, the uncertain, erratic, and complicated scenarios, as well as the tremendous amount of information and corresponding parameters, associated with wind and wave energy harvesting are difficult to handle. In the field of big data handing and mining, artificial intelligence plays a critical and efficient role in energy system transition, harvesting and related applications. The derivative method of deep learning and its surrounding prolongation structures are expanding more maturely in many fields of applications in the last decade. Even though both wind and wave energy have the characteristics of instability, more and more applications have implemented using these two renewable energy sources with the support of deep learning methods. This paper systematically reviews and summarizes the different models, methods and applications where the deep learning method has been applied in wind and wave energy. The accuracy and effectiveness of different methods on a similar application were compared. This paper concludes that applications supported by deep learning have enormous potential in terms of energy optimization, harvesting, management, forecasting, behavior exploration and identification.

Potential of New Media as a Contemporary Method of Dakwah Zakat Towards Inviting The Community to Pay Zakat

The purpose of using the new media in the context of dakwah is an essential feature since it is the trigger for dakwah activities and the execution of dakwah is done to its target. As information and communication technology advances, zakat institutions, must capitalise on it for the benefit of Islam. In the face of the Covid-19 outbreak, zakat institutions such as the Federal Territory Zakat Collection Center (PPZ-MAIWP) are heavily using new media to teach zakat to all Malaysians. There are five potentials of using the new media towards inviting the community to pay zakat namely; further expand dakwah delivery activities, facilitate the delivery of zakat dakwah, diversify the methods of dakwah of zakat, dakwah of zakat while studying and entertaining, and defence against zakat cyber warfare. Thus, digital media has enormous potential in terms of facilitating the implementation of zakat dakwah activities in a more structured, appealing, and beautiful manner.

Swift Trust and Sensemaking in Fast Response Virtual Teams

ABSTRACT Fast-response virtual teams (FRVTs) have been developed as a response to emergent challenges faced by organizations that need to be addressed urgently. Even though FRVTs offer enormous potential in terms of their benefits, their success is not guaranteed. When used, the need for high performing FRVTs has become critical for organizational success. However, there is a lack of detailed understanding of how sensemaking can potentially influence FRVT performance. Drawing on social exchange theory, we identify swift trust as a potential antecedent of sensemaking. In this paper, we report the results of a study that examined the effects of swift trust on sensemaking and the effects of sensemaking on team performance in FRVTs. The study included 20 FRVTs and 80 team participants. Analysis of data shows that FRVTs’ swift trust is positively correlated with all three dimensions of sensemaking and only the linguistic and conative development aspects of sensemaking affects FRVT performance.

Understanding the Highly Selective Methanol Sensing Mechanism of Electrodeposited Pristine MoS2 Using First Principle Analysis

In this paper, synthesis, characterizations and highly selective methanol sensing performance of pristine electrodeposited MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> thin film is reported and correlated with the corresponding density functional theory (DFT) based computations. Pristine MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> was electrochemically deposited on conducting Indium doped Tin Oxide (ITO) glass substrate, and was annealed at three different temperatures viz. 350 °C, 450 °C and 550 °C. Sensing study was performed targeting primary alcohols i.e. methanol, ethanol, and 2-propanol. At room temperature (27 °C), pristine MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> annealed at 550 °C, was found to offer the most promising sensing performance with a response magnitude of ~17% (160%) with an appreciably high selectivity window (with the nearest interfering species ethanol) of 18% (78%) towards 10 ppm (400 ppm) of methanol. Adsorption mechanism was investigated with the help of DFT based simulation studies in terms of changes in structural (adsorption distances) and energetic (adsorption energies) features of MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> considering the adsorption of alcohol molecules on the same. Simulation results revealed that MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> offered enormous potential in terms of adsorption energy (~20 times) and the shortest adsorption distance (~1.2 times) for methanol compared to its nearest interfering species (ethanol), justifying the present experimental outcome.

Assessment of the impact of fouling on vessel energy efficiency by analyzing ship automation data

Shipbuilding and shipping areas are technically dependent to each other since shipping is the end user in the shipbuilding industry. One of the biggest maritime challenges arose due to regulations about emissions and has begun to be a worldwide concern. The maritime industry has enormous potential in terms of a reduction in energy use and emission supervision, especially with respect to existing ships. The specific challenges to shipping are energy inefficiency and emissions; vessel electrification, where sailing displacements and infrastructures permit; and vessel performance optimization. One of these challenges is addressed in this work: operational improvement in detection of the impact of fouling or opposite hull cleaning which enables greater efficiency and an increase in performance. In this paper, battery hybrid electric ship automation data are analysed using Curve Fitting and Detrended Fluctuation Analysis (DFA) in order to interpret the impact of fouling on ship energy performance degradation by continuous monitoring. Although this methodology is already used for analysing various time series data, DFA is a novel approach that is first time that applied to a marine based data where fouling contains marine biological properties. Application of these techniques reveal that in only 9 months fouling, performance degradation of case study ferry faced 6% of average speed loss.

Arqueo-turismo en Manabí: activación turística del legado ancestral para el desarrollo local en la provincia de Manabí, Ecuador

Manabi, province of sun and sea, cradle of civilizations and hospitable land, is shown as a territory with enormous potential in terms of cultural tourism, with emphasis on the archaeological component. This province located on the Pacific coast of the Republic of Ecuador has more than 700 known archaeological sites and probably more than double yet to be discovered, dating back more than 6000 years. The opening to tourism of some of these sites would not only mean a stable source of income for the communities related to the sites, but, in addition to being executed with the respective technical parameters, it would become a sustainable option for the conservation of the archaeological sites and long-term research, allowing a vast diffusion of this important ancestral legacy. Both the 16 of April 2016 earthquake and the coronavirus pandemic have severely affected the socioeconomic development of this province, therefore new opportunities for reactivation through cultural heritage must be considered.

Creating Interactive Learning Environments through the Use of Information and Communication Technologies Applied to Learning of Social Values: An Approach from Neuro-Education

In order to link learning and the brain, it is necessary to carry out a restructuring of pedagogical practice so that it can be linked to the contributions of Neurosciences. In this sense, Neuro-education is emerging as a new science that has as its main objective the synergy of Pedagogy, Cognitive Psychology and Neuroscience, and with this, being able to bring the different educational agents the necessary resources in terms of the brain and learning binomial This article focuses on the importance of education in values, and the acquisition of prosocial behavior and how this educational field can be developed from the use of information and communication technologies (ICT). The challenge before us is to build the map of values, which make the individual a fulfilled being and, in turn, a collaborator of the social environment. On the other hand, ICTs offer enormous potential in terms of their application in the field of education. In this article we will show the role that this type of tools can play in the learning and assimilation of values, bearing in mind the contributions of neuro-education.

Connected Health in Hypertension Management.

e-health is defined as the use of communication and information technologies (ICT) to manage patients and their health in a more efficient way, with the aim of improving the overall quality of care. Healthcare services relying on telehealth (or telemedicine) and mobile health (m-health) are the most popular e-health tools used by healthcare professionals and consumers. These applications allow the exchange of medical data between patients and their doctors or among healthcare professionals, mainly through the Internet, and are used to provide healthcare services remotely (so-called “connected health”). The most popular telemedicine application in the field of hypertension is blood pressure telemonitoring (BPT), which enables transmission of BP and various clinical information from patients' homes or from the community to the doctor's surgery or the hospital. Numerous randomized controlled trials have documented a significant BP reduction combined with an intensification and optimization of the use of antihypertensive medications in patients making use of BPT plus remote counseling by a case manager, with the supervision of a doctor or a community pharmacist (telepharmacy). The major benefits of BPT are usually observed in high-risk patients. BPT can also be based on m-health wireless solutions, provided with educational support, medication trackers and reminders, and teleconsultation. In this context, BPT may favor patient's self-management, as an adjunct to the doctor's intervention, and foster patient's participation in medical decision making, with consequent improvement in BP control and increase in medication adherence. In conclusion, e-health solutions, and in particular telemedicine, are increasingly attaining a key position in the management of the hypertensive patient, with an enormous potential in terms of improvement of the quality of the delivered care, increase in the chance of a successful BP control and effective prevention of cardiovascular diseases.

Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products

Sustainable water management is one of the important priorities set out in the Sustainable Development Goals (SDGs) of the United Nations, which calls for efficient use of natural resources. Efficient water management nowadays depends a lot upon simulation models. However, the availability of limited hydro-meteorological data together with limited data sharing practices prohibits simulation modelling and consequently efficient flood risk management of sparsely gauged basins. Advances in remote sensing has significantly contributed to carrying out hydrological studies in ungauged or sparsely gauged basins. In particular, the global datasets of remote sensing observations (e.g., rainfall, evaporation, temperature, land use, terrain, etc.) allow to develop hydrological and hydraulic models of sparsely gauged catchments. In this research, we have considered large scale hydrological and hydraulic modelling, using freely available global datasets, of the sparsely gauged trans-boundary Brahmaputra basin, which has an enormous potential in terms of agriculture, hydropower, water supplies and other utilities. A semi-distributed conceptual hydrological model was developed using HEC-HMS (Hydrologic Modelling System from Hydrologic Engineering Centre). Rainfall estimates from Tropical Rainfall Measuring Mission (TRMM) was compared with limited gauge data and used in the simulation. The Nash Sutcliffe coefficient of the model with the uncorrected rainfall data in calibration and validation were 0.75 and 0.61 respectively whereas the similar values with the corrected rainfall data were 0.81 and 0.74. The output of the hydrological model was used as a boundary condition and lateral inflow to the hydraulic model. Modelling results obtained using uncorrected and corrected remotely sensed products of rainfall were compared with the discharge values at the basin outlet (Bahadurabad) and with altimetry data from Jason-2 satellite. The simulated flood inundation maps of the lower part of the Brahmaputra basin showed reasonably good match in terms of the probability of detection, success ratio and critical success index. Overall, this study demonstrated that reliable and robust results can be obtained in both hydrological and hydraulic modelling using remote sensing data as the only input to large scale and sparsely gauged basins.

Antibody-sandwich ELISA analysis of a novel blood biomarker of CST4 in gastrointestinal cancers.

BackgroundMembers of the cystatin family have increasingly been proven to be involved in several tumors, including gastric cancer (GC) and colorectal cancer (CRC). Cystatin S (CST4) was found to be upregulated at the gene expression level in GC cells, making it a potential novel biomarker for the early diagnosis of gastrointestinal cancer.Materials and methodsQuantitative real-time polymerase chain reaction and Western blotting analysis were used to explore CST4 expression in gastrointestinal cancer tissues and cell lines. We purified CST4 recombinant protein and generated anti-CST4 monoclonal antibodies to develop an antibody-sandwich enzyme-linked immunosorbent assay (ELISA) analysis system for blood CST4 detection. The performance and clinical efficacy of the detection method were evaluated using a training set and validation set, respectively.ResultsAccording to the quantitative real-time polymerase chain reaction and Western blotting results, CST4-mRNA expression and protein expression were upregulated in gastrointestinal cancer tissues and cell lines. The ELISA detection system for CST4 showed significantly better sensitivities of 69.0% and 69.0% and specificities of 85.6% and 83.6% for GC and CRC, respectively, than other common clinical biomarkers, carcinoembryonic antigen, CA19-9, CA125, and CA72-4. Clinical verification experiments using GC and CRC validation sets also found distinguishable CST4 median concentrations (177.7 pg·mL−1 and 174.2 pg·mL−1 respectively) and high positive detection rates (72.3% and 88.4% respectively), further confirming the specificity and sensitivity of this method.ConclusionWe validated the overexpression of CST4 in gastrointestinal cancer tissues and cell lines and developed an antibody-sandwich ELISA analysis system for blood CST4 detection, which exhibited high specificity and sensitivity. Novel blood biomarkers of CST4 have enormous potential in terms of clinical diagnostic value in GC and CRC.

Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions

Recent research in the field of magnesium has brought out the enormous potential in terms of their applications and machining process. Lightness and high strength-to-weight ratio of such materials have led to an increased interest in their use in automobile and aerospace industries. In this paper investigation on turning of magnesium alloy using uncoated tungsten carbide cutting insert in dry and minimum quantity lubrication (MQL) cutting conditions have been presented. This work includes input parameters like cutting conditions, cutting speed, feed and depth of cut as cutting factors and the responses of tool flank wear, surface roughness, cutting force and cutting temperature have been optimized by grey relational analysis. The optimization has been performed firstly as mono-objective optimization by using Taguchi method; secondly as multi-objective optimization through Taguchi based grey relational analysis (GRA). The mono-objective optimization results gave the combination of 40 m/min cutting speed, 0.10 mm/rev feed rate and 0.5 depth of cut when run under MQL for optimizing the tool wear and cutting temperature and also the same combination optimized cutting force when operated under dry condition. The optimal condition for surface roughness was at 140 m/min cutting speed, 0.10 mm/rev feed rate, 0.5 depth of cut at MQL. GRA technique provided optimum condition i.e. 90 m/min cutting speed, 0.1 mm/rev feed rate and 0.5 mm depth of cut at MQL that minimized the output responses.

Feasibility and impact of Muara Bulian Bridge construction on the economy of Batang Hari Regency

This study aims to determine the impact of Muara Bulian bridge construction on the economy of Batang Hari Regency. The number of vehicles transporting goods (transport coal and CPO) through the City of Muara Bulian has made congestion in the City of Muara Bulian. Therefore, it takes a diversion of currents for freight vehicles sothey will not cross the city of Muara Bulian. The scope of the research focused on the social and economic impacts of the bridge construction and the feasibility study of the bridge financially. The type of data used is the type of secondary data obtained from interviews and data from related agencies in Jambi Province and Batang Hari Regency in 2016. Based on the results of the research, it is found that: (1) Construction of Muara Bulian Bridge is intended to build isolated areas in the Maro Sebo Ilir Subdistrict. Maro Sebo Ilir Subdistrict has enormous potential in terms of both plantations and mining. Potential plantations in Maro Sebo Ilir Subdistrict are oil palm and rubber while for mining there is coal and oil. The construction of the Muara Bulian bridge is expected to create new economic growth centers in Batang Hari Regency and can increase the strength and opportunities of new business potentials that have not existed in Batang Hari Regency, and (2) road connectivity on the north of the Muara Bulian bridge will be connected to an existing provincial road. To facilitate the flow of transportation to the provincial road, it is necessary to create a new road along ± 3 km with an estimated cost of ± Rp. 8,400,000,000 with standard cost 2,800,000,000 /km. Keywords: Financial feasibility, regional economy, socio-economic impact

Assessment of energy security in MedRing countries and regional trends towards renewable energy deployment

Energy security is considered as an important driving force for sustaining socio-economic growth of any nation. The Mediterranean countries (particularly MedRing countries) are witnessing a steady economic growth backed with a relative political stability and improvement of living standards. Moreover, an enormous potential in terms of fossil and renewable energies is still not fully explored in this region. Hence, the establishment of an integrated regional approach for managing the energy sector will most likely enhance energy security and regional cooperation between MedRing countries following the ultimate goal of answering the growing energy demand in the upcoming decades. The aim of this study is to (1) evaluate the levels of energy security in those countries using four selected indicators and (2) highlight their orientations towards the deployment of renewable energy as an important pillar for ensuring the security of the energy systems in these countries. The results showed that the MedRing countries are highly dependent on imported fossil fuels (except for exporting countries such as Algeria, Libya, and Egypt), and thus, the major share of their CO2 emissions are resulting from the energy sector. On the other hand, renewable and nuclear energies seem to be the ideal alternatives for enhancing energy security and creating mutual benefits for the two shores of the Mediterranean basin.