bluuebunny/crossref_metadata_2025 huggingface dataset:
Advanced Collagen-Based Composites as Fertilizers Obtained by Recycling Lime Pelts Waste Resulted during Leather Manufacture
Authors: Stefan Daniela Simina , Manea-Saghin Ana-Maria , Triantaphyllidou Irene-Eva , Tzoumani Ioanna , Meghea Irina
Published: August 2022

Recent trends in ecological agriculture practices are focused on finding optimal solutions for reuse and recycling of pelt waste from tannery industry. In this context, new collagen-based hydrogels with NPK nutrients encapsulated have been functionalized with synthetic and natural additives, including starch and dolomite, to be used as composite fertilizers. Possible interaction mechanisms are presented in case of each synthetic or natural additive, ranging from strong linkages as a result of esterification reactions until hydrogen bonds and ionic valences. Such interactions are responsible for nutrient release towards soil and plants. These fertilizers have been adequately characterized for their physical chemical and biochemical properties, including nutrient content, and tested on three Greek poor soils and one Romanian normal soil samples. A series of agrochemical tests have been developed by evaluation of uptake and leaching of nutrients on mixtures of sand and soils. It was observed that the clay soil exhibits a higher adsorption capacity than the loam soil for most of nutrients leached from the composite fertilizers tested, with this being correlated with a slower control release towards cultivated plants, thus assuring efficiency of these collagen-based composite fertilizers. The most significant effect was obtained in the case of collagen-based fertilizer functionalized with starch.
Selection of Natural Fibre for Pultruded Hybrid Synthetic/Natural Fibre Reinforced Polymer Composites Using Analytical Hierarchy Process for Structural Applications
Authors: Balakrishnan Thinesh Sharma , Sultan Mohamed Thariq Hameed , Naveen Jesuarockiam , Shahar Farah Syazwani , Najeeb Muhammad Imran , Shah Ain Umaira Md , Khan Tabrej , Sebaey Tamer Ali
Published: August 2022

Application of synthetic fibres in composites has been raising environmental issues due to carbon emissions from the production site and reliability on non-renewable resources upon production. Hence, this research sets as a preliminary study to select suitable natural fibres to be hybridized with glass fibres for the development of sustainable and high-performance hybrid composites as potential alternative to conventional pultruded fibreglass composites in structural profile applications. In this study, analytical hierarchy process (AHP) was conducted to select the ideal natural fibre as reinforcement in the hybrid pultruded FRP composites suitable for structural applications. Hence, 13 natural fibre candidates were selected as alternatives and six criteria were chosen and analysed to select the best candidate for pultruded hybrid FRP. Criteria such as tensile strength, tensile modulus, density, cellulose content, elongation, and availability of fibres were assigned as the standard of selecting natural fibres for the application intended in this study. Among the 13 alternatives, kenaf was found to be the most suitable reinforcement for the application as it yielded the highest priority vector at 0.1. The results were then validated by carrying out sensitivity analysis to ensure kenaf is the most suitable material for the research.
Role of Sonographic Second Trimester Soft Markers in the Era of Cell-Free DNA Screening Options: A Review
Authors: Taliento Cristina , Salmeri Noemi , Greco Pantaleo , Morano Danila
Published: August 2022

Soft markers are sonographic structural, nonspecific signs with little pathological significance, often transient, usually considered as normal variants. However, they may also be associated with chromosomal abnormalities. The most widely examined soft markers include absent or hypoplastic nasal bone (NB), intracardiac echogenic focus (IEF), ventriculomegaly (VM), thickened nuchal fold (NF), choroid plexus cyst (CPC), echogenic bowel, short long bones, and urinary tract dilation (UTD). Although the use of noninvasive prenatal testing (NIPT) has been spreading quickly in maternal–fetal medicine, it is not a diagnostic test and it still remains unavailable or cost-prohibitive for most of the population in many countries. After normal screening test results in the first trimester, there is no uniform consensus regarding the clinical significance of isolated soft markers for aneuploidy. Nowadays, the search for soft markers in an ultrasound is still part of clinical evaluation, and the interpretation of these findings is often a matter of debate. In the present review, we summarize the recent literature about the role of soft markers in the era of NIPT and propose an overview of the different clinical guidelines.
Wise Management or Mismatch? Lessons from Japan
Authors: Huang Guangwei , Chen Shiwen , Wang Jia
Published: August 2022

As a precious resource, wetlands support human life in various profound ways, either explicitly or implicitly. However, the values of wetlands have not been sufficiently recognized and greatly appreciated. Their management approaches are often sectoral, and wise use of wetlands is still more of a catchphrase than a well-used management practice. This paper presents a cross-sectoral case study for the evaluation of the primary management practices in a Ramsar-registered wetland in Japan. It employed a literature review, field and laboratory experiments, and a questionnaire survey as well for assessing the wetland conditions and identifying management problems. It revealed that the management of the wetland is still flood regulation–oriented, without sufficient consideration of bird habitats, and the water level drawdown operation for Lake Yanaka inside the wetland may lead to mass fish deaths. Furthermore, the reed burning practice is effective in maintaining the plant structure in the wetland but controversial from different perspectives. Moreover, the questionnaire survey results indicated that the public were not well informed of the wetland conditions and not convinced of the appropriateness of reed burning. Based on these findings, it was concluded that the registration under the Ramsar Convention did not lead to new strategies for the conservation and wise use of the wetland.
FPS: Fast Path Planner Algorithm Based on Sparse Visibility Graph and Bidirectional Breadth-First Search
Authors: Li Qunzhao , Xie Fei , Zhao Jing , Xu Bing , Yang Jiquan , Liu Xixiang , Suo Hongbo
Published: August 2022

The majority of planning algorithms used are based on the occupancy grid maps, but in complicated situations, the occupancy grid maps have a significant search overhead. This paper proposed a path planner based on the visibility graph (v-graph) for the mobile robot that uses sparse methods to speed up and simplify the construction of the v-graph. Firstly, the complementary grid framework is designed to reduce graph updating iteration costs during the data collection process in each data frame. Secondly, a filter approach based on the edge length and the number of vertices of the obstacle contour is proposed to reduce redundant nodes and edges in the v-graph. Thirdly, a bidirectional breadth-first search is combined into the path searching process in the proposed fast path planner algorithm in order to reduce the waste of exploring space. Finally, the simulation results indicate that the proposed sparse v-graph planner can significantly improve the efficiency of building the v-graph and reduce the time of path search. In highly convoluted unknown or partially known environments, our method is 40% faster than the FAR Planner and produces paths 25% shorter than it. Moreover, the physical experiment shows that the proposed path planner is faster than the FAR Planner in both the v-graph update process and laser process. The method proposed in this paper performs faster when seeking paths than the conventional method based on the occupancy grid.
A Simple Statistical Model of the Uncertainty Distribution for Daily Gridded Precipitation Multi-Platform Satellite Products
Authors: Oliveira Rômulo A. J. , Roca Rémy
Published: August 2022

Multi-platform satellite-based precipitation gridded estimates are becoming widely available in support of climate monitoring and climate science. The characterization of the performances of these emerging Level-4 products is an active field of research. This study introduced a simple Gaussian mixture model (GMM) to characterize the distribution of uncertainty in these satellite products. The following three types of uncertainty were analyzed: constellation changes-induced uncertainties, sampling uncertainties and comparison with rain-gauges. The GMM was systematically compared with a single Gaussian approach and shown to perform well for the variety of uncertainties under consideration regardless of the precipitation levels. Additionally, GMM has also been demonstrated to be effective in evaluating the impact of Level-2 PMW rain estimates’ detection threshold definition on the constellation changes-induced uncertainty characteristics at Level-4. This simple additive perspective opens future avenues for better understanding error propagation from Level-2 to Level-4.
Bayesian Posterior-Based Winter Wheat Yield Estimation at the Field Scale through Assimilation of Sentinel-2 Data into WOFOST Model
Authors: Wu Yantong , Xu Wenbo , Huang Hai , Huang Jianxi
Published: August 2022

Accurate and timely regional crop yield information, particularly field-level yield estimation, is essential for commodity traders and producers in planning production, growing, harvesting, and other interconnected marketing activities. In this study, we propose a novel data assimilation framework. Firstly, we construct the likelihood constraints for a process-based crop growth model based on the previous year’s statistical yield and the current year’s field observations. Then, we infer the posterior sets of model-simulated time-series LAI and the final yield of winter wheat with a Markov chain Monte Carlo (MCMC) method for each meteorological data grid of the European Centre for Medium-Range Weather Forecasts Reanalysis (v5ERA5). Finally, we estimate the winter wheat yield at the spatial resolution of 10 m by combining Sentinel-2 LAI and the WOFOST model in Hengshui, the prefecture-level city of Hebei province of China. The results show that the proposed framework can estimate the winter wheat yield with a coefficient of determination R2 equal to 0.29 and mean absolute percentage error MAPE equal to 7.20% compared to within-field measurements. However, the agricultural stress that crop growth models cannot quantitatively simulate, such as lodging, can greatly reduce the accuracy of yield estimates.
Application of a PLS-Augmented ANN Model for Retrieving Chlorophyll-a from Hyperspectral Data in Case 2 Waters of the Western Basin of Lake Erie
Authors: Ali Khalid A. , Moses Wesley J.
Published: August 2022

We present results that demonstrate the utility of machine learning techniques that are based on partial least squares (PLS) and artificial neural networks (ANNs) for estimating low-moderate chlorophyll-a (chl-a) concentrations in the western basin of Lake Erie (WBLE). Previous ocean color studies have resulted in a large number of algorithms that are based on spectral indices to estimate water quality parameters (WQPs) such as chl-a concentration from remote sensing reflectance. However, these spectral index algorithms are based on reflectance features at specific wavelengths and do not take advantage of the wealth of spectral information that is contained in hyperspectral data, and are often not easily adaptable to waters with conditions that are different from those in the datasets that were used to originally calibrate the indices. Recently, there have been efforts to use machine learning techniques that are based on ANNs and PLS regression to exploit the spectral richness contained in hyperspectral data and retrieve WQPs. In this study, we have combined an ANN model with output from PLS regression to retrieve chl-a concentration from hyperspectral data in the WBLE. We compared the results from the PLS-ANN method to those that were obtained from a band-ratio algorithm that is based on reflectances in the blue and green spectral regions, a band ratio algorithm that is based on reflectances in the red and near-infrared (NIR) spectral regions, and a PLS-only approach. For a dataset that was collected in 2012, with chl-a concentrations ranging from 0.48 to 21.2 µg/L, the PLS-ANN method yielded a root mean square error (RMSE) of 1.22 µg/L, whereas the blue-green ratio algorithm yielded an RMSE of 1.75 µg/L, the NIR-red ratio algorithm yielded an RMSE of 1.95 µg/L, and the PLS-only approach yielded an RMSE of 1.95 µg/L. The PLS-ANN method takes advantage of the PLS regression to identify specific wavelengths that contain most information about the variation in chl-a concentration, minimize spectral collinearity and redundancy in the data, and simplify the neural network’s input structure. The better performance of the PLS-ANN method can also be attributed to the neural network’s ability to account for nonlinearity in the relationship between chl-a concentration and spectral reflectance. The results indicate that the PLS-ANN method can be reliably used to estimate and monitor low-moderate chl-a concentrations in optically complex waters.
Precordial Vibrations: A Review of Wearable Systems, Signal Processing Techniques, and Main Applications
Authors: Santucci Francesca , Lo Presti Daniela , Massaroni Carlo , Schena Emiliano , Setola Roberto
Published: August 2022

Recently, the ever-growing interest in the continuous monitoring of heart function in out-of-laboratory settings for an early diagnosis of cardiovascular diseases has led to the investigation of innovative methods for cardiac monitoring. Among others, wearables recording seismic waves induced on the chest surface by the mechanical activity of the heart are becoming popular. For what concerns wearable-based methods, cardiac vibrations can be recorded from the thorax in the form of acceleration, angular velocity, and/or displacement by means of accelerometers, gyroscopes, and fiber optic sensors, respectively. The present paper reviews the currently available wearables for measuring precordial vibrations. The focus is on sensor technology and signal processing techniques for the extraction of the parameters of interest. Lastly, the explored application scenarios and experimental protocols with the relative influencing factors are discussed for each technique. The goal is to delve into these three fundamental aspects (i.e., wearable system, signal processing, and application scenario), which are mutually interrelated, to give a holistic view of the whole process, beyond the sensor aspect alone. The reader can gain a more complete picture of this context without disregarding any of these 3 aspects.
Methodology for Large-Scale Camera Positioning to Enable Intelligent Self-Configuration
Authors: Wu Yingfeng , Zhao Weiwei , Zhang Jifa
Published: August 2022

The development of a self-configuring method for efficiently locating moving targets indoors could enable extraordinary advances in the control of industrial automatic production equipment. Being interactively connected, cameras that constitute a network represent a promising visual system for wireless positioning, with the ultimate goal of replacing or enhancing conventional sensors. Developing a highly efficient algorithm for collaborating cameras in the network is of particular interest. This paper presents an intelligent positioning system, which is capable of integrating visual information, obtained by large quantities of cameras, through self-configuration. The use of the extended Kalman filter predicts the position, velocity, acceleration and jerk (the third derivative of position) in the moving target. As a result, the camera-network-based visual positioning system is capable of locating a moving target with high precision: relative errors for positional parameters are all smaller than 10%; relative errors for linear velocities (vx, vy) are also kept to an acceptable level, i.e., lower than 20%. This presents the outstanding potential of this visual positioning system to assist in the industry of automation, including wireless intelligent control, high-precision indoor positioning, and navigation.
LTV-MPC Approach for Automated Vehicle Path Following at the Limit of Handling
Authors: Domina Ádám , Tihanyi Viktor
Published: August 2022

In this paper, a linear time-varying model predictive controller (LTV-MPC) is proposed for automated vehicle path-following applications. In the field of path following, the application of nonlinear MPCs is becoming more common; however, the major disadvantage of this algorithm is the high computational cost. During this research, the authors propose two methods to reduce the nonlinear terms: one is a novel method to define the path-following problem by transforming the path according to the actual state of the vehicle, while the other one is the application of a successive linearization technique to generate the state–space representation of the vehicle used for state prediction by the MPC. Furthermore, the dynamic effect of the steering system is examined as well by modeling the steering dynamics with a first-order lag. Using the proposed method, the necessary segment of the predefined path is transformed, the linearized model of the vehicle is calculated, and the optimal steering control vector is calculated for a finite horizon at every timestep. The longitudinal dynamics of the vehicle are controlled separately from the lateral dynamics by a PI cruise controller. The performance of the controller is evaluated and the effect of the steering model is examined as well.
Machine Learning Models for Enhanced Estimation of Soil Moisture Using Wideband Radar Sensor
Authors: Uthayakumar Akileshwaran , Mohan Manoj Prabhakar , Khoo Eng Huat , Jimeno Joe , Siyal Mohammed Yakoob , Karim Muhammad Faeyz
Published: August 2022

In this paper, machine learning models for an effective estimation of soil moisture content using a microwave short-range and wideband radar sensor are proposed. The soil moisture is measured as the volumetric water content using a short-range off-the-shelf radar sensor operating at 3–10 GHz. The radar captures the reflected signals that are post processed to determine the soil moisture which is mapped to the input features extracted from the reflected signals for the training of the machine learning models. In addition, the results are compared and analyzed with a contact-based Vernier soil sensor. Different machine learning models trained using neural network, support vector machine, linear regression and k-nearest neighbor are evaluated and presented in this work. The efficiency of the model is computed using root mean square error, co-efficient of determination and mean absolute error. The RMSE and MAE values of KNN, SVM and Linear Regression are 11.51 and 9.27, 15.20 and 12.74, 3.94 and 3.54, respectively. It is observed that the neural network gives the best results with an R2 value of 0.9894. This research work has been carried out with an intention to develop cost-effective solutions for common users such as agriculturists to monitor the soil moisture conditions with improved accuracy.
Hiding Messages in Secure Connection Transmissions with Full-Duplex Overt Receiver
Authors: Nguyen Lap Luat , Nguyen Tien-Tung , Fiche Anthony , Gautier Roland , Ta Hien Q.
Published: August 2022

This paper considers hiding messages in overt transmissions with a full-duplex receiver, which emits artificial noise to secure its transmission connection while a transmitter opportunistically sends a covert message to a covert user. The warden’s uncertainties in decoding the overt message and artificial-noise-received power are exploited to hide messages. Then, the covert throughput accompanied with the warden’s average detection error probability are determined. The results show that increasing the transmit power of artificial noise or improving secure connection at the overt user will improve the covert performance. The results also show that the covert performance is improved when the self-interference cancellation is improved at the full-duplex receiver or when the warden is located close to the full-duplex receiver, indicating the positive impact of the overt performance on the covert performance.
Essential Oil of Ipomoea carnea: Chemical Profile, Chemometric Analysis, Free Radical Scavenging, and Antibacterial Activities
Authors: Abd-ElGawad Ahmed M. , Elshamy Abdelsamed I. , Elgorban Abdallah M. , Hassan Emad M. , Zaghloul Nouf S. , Alamery Salman F. , El Gendy Abd El-Nasser G. , Elhindi Khalid M. , EI-Amier Yasser A.
Published: August 2022

Essential oils (EOs) have been reported as a promising group of naturally extracted compounds due to their various reported biological activities. Ipomoea carnea is a widely distributed plant with many traditional uses worldwide. However, although the EOs of various Ipomea species have been reported, I. carnea remains poorly studied. Therefore, the present investigation aimed to characterize the chemical profile of the EO of I. carnea growing in Egypt via gas chromatography/mass spectroscopy (GC-MS) and correlate its profile with other reported species via chemometric analysis using agglomerative hierarchical clustering (AHC) and principal component analysis (PCA). In addition, the aim was to determine the antioxidant and antibacterial activities of the extracted EO. Depending on the GC-MS analysis, 31 compounds were identified, mainly terpenes (94.82), with traces of carotenoid and apocarotenoid-derived compounds. The major compounds were tau-cadinol (35.68%), α-cadinol (26.76%), spathulenol (8.11%), and caryophyllene oxide (6.56%), which were assigned as major compounds. The chemometric studies showed that the Egyptian ecospecies of I. carnea differs in chemical profile from those growing in Brazil, as well as those reported for other Ipomea species. The EO showed significant DPPH and ABTS radical scavenging abilities, with IC50 values of 33.69 and 40.86 mg L−1, respectively. Additionally, the I. carnea EO displayed significant inhibition against the growth of all tested bacterial strains, where it showed an MIC range of 82–1442 mg mL−1. Based on the current results, the I. carnea EO, particularly the major identified compounds, could be used as a potential eco-friendly green resource for antioxidant and antimicrobial activities. Therefore, further study is recommended to evaluate the biological significance of the main compounds, either individually or in combination, as well as assess their modes of action and safety.
Preparation, Optimization, and Characterization of Inclusion Complexes of Cinnamomum longepaniculatum Essential Oil in β-Cyclodextrin
Authors: Yan Yue , Zhao Xin , Wang Chao , Fang Qiong , Zhong Lu , Wei Qin
Published: August 2022

Cinnamomum longepaniculatum essential oil (CLEO) possesses antibacterial, anti-inflammatory, and antioxidant activities. However, CLEO shows volatilization and poor solubility, which limits its application field. In this research, inclusion complexes of β-cyclodextrin (β-CD) with CLEO were produced, and its physicochemical properties were characterized. Response surface methodology was used to obtain optimum preparation conditions. A statistical model was generated to define the interactions among the selected variables. Results show that the optimal conditions were an H2O/β-CD ratio of 9.6:1 and a β-CD/CLEO ratio of 8:1, with the stirring temperature of 20 °C for the maximal encapsulation efficiency values. The physicochemical properties of CLEO/β-CD inclusion complexes (CLEO/β-CD-IC) were investigated. Fourier transform infrared spectroscopy showed that correlative characteristic bands of CLEO disappeared in the inclusion complex. X-ray diffraction presented different sharp peaks at the diffraction angle of CLEO/β-CD-IC. The thermogravimetric analysis demonstrated the thermal stability of CLEO was enhanced after encapsulation. Tiny aggregates with a smaller size of CLEO/β-CD-IC particles were observed by scanning electron microscopy. The comparison of β-CD, CLEO, and physical mixtures with CLEO/β-CD-IC confirmed the formation of inclusion complexes.
Government Supports, Digital Capability, and Organizational Resilience Capacity during COVID-19: The Moderation Role of Organizational Unlearning
Authors: Gao Yu , Yang Xiuyun , Li Shuangyan
Published: August 2022

This paper provides an investigation into how different types of government supports can be used to enhance organizational resilience capacity during the COVID-19 pandemic. Based on resource orchestration theory, this study examines the effects of direct government support and indirect government support on organizational resilience capacity, the mediation role of digital capability, and the moderation effects of organizational unlearning. The empirical results from 205 Chinese firms show that direct government support and indirect government support have positive effects on organizational resilience capacity, which were mediated by digital capability. In addition, organizational unlearning positively and negatively moderates the positive relationship between direct government support, indirect government support and digital capability. Our theoretical discussion and empirical results contribute to the literature related to organizational resilience, digital capability, government support, and organizational unlearning.
The Impact of ESG Scores on Bank Market Value? Evidence from the U.S. Banking Industry
Authors: Ersoy Ersan , Swiecka Beata , Grima Simon , Özen Ercan , Romanova Inna
Published: August 2022

Although there is a large volume of literature on the relationship between Environmental, Social and Governance (ESG) and firm performance, only a limited number of studies have focused on the banking sector. In addition, most of them used linear models. Therefore, in this study, we examined the impact of ESG and ESG pillar scores (environmental, social, and governance) on the market value of U.S. commercial banks by using linear and non-linear panel regression models over the period of 2016–2020. Moreover, we used the market value as a bank value indicator and included the effect of COVID-19. Results show an inverted U-shaped relationship between market value and ESG and The Social Pillar Score (SPS) and a U-shaped relationship between market value and The Environment Pillar Score (EPS). Findings from this study are important indicators for investment managers and policymakers who want to maximise bank market value while complying with ESG standards.
Promote Social Order to Achieve Social and Ecological Justice for Communities to Prevent Illegal Artisanal Small-Scale Gold Mining
Authors: Lumowa Royke , Utomo Suyud Warno , Soesilo Tri Edhi Budhi , Hariyadi Hariyadi
Published: August 2022

The Indonesian National Police (POLRI) has succeeded in suppressing illegal artisanal small-scale gold mining (ASGM) that has been taking place in Mount Botak, Buru Regency, Maluku Province, Indonesia. However, POLRI has only succeeded in creating a temporary absence of illegal ASGM. This study aims to analyse an additional role POLRI could play in achieving social and ecological justice by promoting a positive and functioning social order. We used a case study method to collect data from documentation and literature studies on illegal ASGM cases in Mount Botak. The findings of this study reveal that pressure by POLRI against national and local governments may have a positive impact on the absence of illegal ASGM. This study recommends that POLRI should, in addition to the performance of its formal role in enforcing the law against illegal ASGM and maintaining security and order, play a role as a pressure group acting on national and local governments to promote social order and to achieve social and ecological justice for communities around local mining areas.
Shark Fishing vs. Conservation: Analysis and Synthesis
Authors: Porcher Ila France , Darvell Brian W.
Published: August 2022

The expanding shark fin market has resulted in intensive global shark fishing and with 90% of teleost fish stocks over-exploited, sharks have become the most lucrative target. As predators, they have high ecological value, are sensitive to fishing pressure, and are in decline, but the secretive nature of the fin trade and difficulties obtaining relevant data, obscure their true status. In consumer countries, shark fin is a luxury item and rich consumers pay high prices with little interest in sustainability or legal trade. Thus, market demand will continue to fuel the shark hunt and those accessible to fishing fleets are increasingly endangered. Current legal protections are not working, as exemplified by the case of the shortfin mako shark, and claims that sharks can be sustainably fished under these circumstances are shown to be misguided. In the interests of averting a catastrophic collapse across the planet’s aquatic ecosystems, sharks and their habitats must be given effective protection. We recommend that all sharks, chimaeras, manta rays, devil rays, and rhino rays be protected from international trade through an immediate CITES Appendix I listing. However, a binding international agreement for the protection of biodiversity in general is what is needed.
Ibiza (Spain) World Heritage Site: Socio-Urban Processes in a Touristified Space
Authors: González-Pérez Jesús M. , Novo-Malvárez Margarita
Published: August 2022

In recent years, there has been a big shift in analyses of historic centres, with the spotlight turning from the issue of urban degradation and the ageing population to studies of the risks associated with touristification and gentrification. The island of Ibiza is one of the Mediterranean’s leading tourist destinations, and its capital is one of the fifteen Spanish cities declared as World Heritage Sites (UNESCO). This study aimed to explore the touristification of Ibiza’s historic centre (a World Heritage Site). To do so, it explored three interrelated variables, the historic centre’s demographic dynamics, tourist accommodations, and heritage, through an analysis of heritage interventions derived from the UNESCO declaration. The methodology was based on the statistical use of demographic and tourism accommodation data on an inter-urban scale by mapping the main results, as well as on a study of the heritage data from the municipal catalogue. We concluded that the old city is in a state of change, both socially (with a demographic decline and drop in the native population) and culturally. All this reinforces its role as a supplier of complementary tourism services and as a museumized space for sun and sand resorts in the rest of the city and throughout the island.
Origin of Ciguateric Fish: Quantitative Modelling of the Flow of Ciguatoxin through a Marine Food Chain
Authors: Holmes Michael J. , Lewis Richard J.
Published: August 2022

To begin to understand the impact of food chain dynamics on ciguatera risk, we used published data to model the transfer of ciguatoxins across four trophic levels of a marine food chain in Platypus Bay, Australia. The data to support this first attempt to conceptualize the scale of each trophic transfer step was limited, resulting in broad estimates. The hypothetical scenario we explored generated a low-toxicity 10 kg Spanish mackerel (Scomberomorus commerson) with a flesh concentration of 0.1 µg/kg of Pacific-ciguatoxin-1 (P-CTX-1, also known as CTX1B) from 19.5–78.1 µg of P-CTX-1 equivalents (eq.) that enter the marine food chain from a population of 12–49 million benthic dinoflagellates (Gambierdiscus sp.) producing 1.6 × 10−12 g/cell of the P-CTX-1 precursor, P-CTX-4B. This number of Gambierdiscus could be epiphytic on 22–88 kg of the benthic macroalgae (Cladophora) that carpets the bottom of much of Platypus Bay, with the toxin transferred to an estimated 40,000–160,000 alpheid shrimps in the second trophic level. This large number of shrimps appears unrealistic, but toxic shrimps would likely be consumed by a school of small, blotched javelin fish (Pomadasys maculatus) at the third trophic level, reducing the number of shrimps consumed by each fish. The Spanish mackerel would accumulate a flesh concentration of 0.1 µg/kg P-CTX-1 eq. by preying upon the school of blotched javelin and consuming 3.6–14.4 µg of P-CTX-1 eq. However, published data indicate this burden of toxin could be accumulated by a 10 kg Spanish mackerel from as few as one to three blotched javelin fish, suggesting that much greater amounts of toxin than modelled here must at certain times be produced and transferred through Platypus Bay food chains. This modelling highlights the need for better quantitative estimates of ciguatoxin production, biotransformation, and depuration through marine food chains to improve our understanding and management of ciguatera risk.
Smart Tool Development for Customized Charging Services to EV Users
Authors: Galbis Alberto Zambrano , García Moisés Antón , García Ana Isabel Martínez , Karatzas Stylianos , Chassiakos Athanasios , Lazari Vasiliki , Ageli Olympia
Published: August 2022

E-mobility is a key element in the future energy systems. The capabilities of EVs are many and vary since they can provide valuable system flexibility services, including management of congestion in transmission grids. According to the literature, leaving the charging process uncontrolled could hinder some of the present challenges in the power system. The development of a suitable charging management system is required to address different stakeholders’ needs in the electro-mobility value chain. This paper focuses on the design of such a system, the TwinEV module, that offers high-value services to electric vehicles (EV) users. This module is based on a Smart Charging Tool (SCT), aiming to deliver a more user-central and cooperative approach to the EV charging processes. The methodology of the SCT tool, as well as the supportive optimization algorithm, are explained thoroughly. The architecture and the web applications of TwinEV module are analyzed. Finally, the deployment and testing results are presented.
Estimation of Dislocation Distribution at Mid Thickness for 1050 Al
Authors: Chakravarty Purnima , Pál Gyula , Bátorfi János Gy. , Sidor Jurij J.
Published: August 2022

The current study reports three different techniques to estimate the distribution of dislocation density at the mid thickness of 1050 Al alloy. It is well known that the strain distribution is inhomogeneous through the thickness of rolled materials, which affects the evolution of dislocation density during the process of deformation. In this study, the number of dislocations was calculated experimentally using indentation technique in 46.8% cold rolled 1050 Al sheet and the result was verified by two numerical methods.
ANTECEDENT FACTORS AFFECTING REPURCHASE INTENTION ON SHOPEE FOOD
Authors: Christine Kezia , Berlianto Margaret Pink
Published: August 2022

The availability of various e-commerce platforms as shopping media makes it easier for customers to shop conveniently anywhere and anytime. In the context of restaurants, nowadays consumers use an Online Food Delivery System (OFDS) which is an important part of the distribution of the restaurant industry. The competition in the food delivery business is getting fiercer as new entrants emerge. Shopee launched the ShopeeFood food in April 2020. Shopee Food contains a variety of products ranging from food to snacks from various restaurants, as well as Business, Micro, Small and Medium Enterprises (MSMEs) with various discounts and attractive .The urgency of this research is to examine antecedent factors affecting repurchase intention on Shopee Food. This study uses exploratory research design. The number of samples used in this study were 205 respondents live in Jakarta, Depok, Tangerang, and Bekasi who have ordered using Shopee Food. The data analysis method used is Partial Least Square (PLS). The data analysis test tool uses statistical software Smartpls 3.0. This study concludes that some factors affecting the repurchase intention on Shopee Food.  Performance expectancy, habit, impulse buying tendency, and orientation to present were found have positive impact on repurchase intention. While, congruity to self image was found has negative impact towards repurchase intention on Shopee Food. In other hand, two other hypotheses which include openess to novelty and alertness to distinction that positively affecting repurchase intention on Shopee Food were rejected.
EFFECT OF TRAINING AND WORK PLACEMENT ON PERFORMANCE (REGIONAL SERVICE, TRAINING AND EDUCATION AGENCY (BKP2D) – INDRAGIRI HULU REGENCY
Authors: Iskandar Yenny , Suharmiyati Suharmiyati , Putra Benny Pramana
Published: August 2022

One of the important factors in the field of human resources is to adapt and create new changes to produce adequate performance towards organizational goals. To achieve a goal, organizations are required to have competent human resources and are also experts in certain fields so that they are carried out properly and accurately. Based on the needs of the organization, human resources are needed who are trained and are in a place that is in accordance with their fields and expertise.

This research was conducted at the Personnel, Education and Training Agency (BKP2D) of Indragiri Hulu Regency. The implementation of this study is expected for 8 (eight) months. This study was to determine the Effect of Training and Work Placement on Performance at the Personnel, Education and Training Agency (BKP2D) Kabupaten Indragiri Hulu.

The analytical method used is descriptive quantitative data analysis carried out partially and simultaneously (multiple linear regression analysis with the help of IBM SPSS Statistics program version 23:00)

The Result of regression is a positive relationship between training performance and there is also a positive relationship between work placement and performance. The results of the partial test had a significant effect on the performance of the training Personnel, Education and Training Agency (BKP2D) Indragiri Hulu Regency. Partial work placement has a significant effect on the Performance of Regional Personnel, Education and Training (BKP2D) Indragiri Hulu.
THE INFLUENCE OF FINANCIAL PERFORMANCE ON PROFITABILITY (CASE STUDY OF SUB SECTOR COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE FOR THE PERIOD 2018 - 2020)
Authors: Ramadhan Rian Rahmat , Veranda Veranda , Kinasih Dwi Dewisri
Published: August 2022

This research aims to find out and analyze the influence of financial performance on profitability. This research uses quantitative studies using purposive sampling techniques with a sample count of 10 companies. The subject of this study is an automotive sub-sector company listed on the Indonesia Stock Exchange for the period 2018-2020. The results showed that there was no effect of Debt to Equity Ratio (X₂) and Firm Size (X₄) on Profitability (Y) in automotive sub-sector companies listed on the Indonesia Stock Exchange for the period 2018-2020. However, there is a positive influence of Current Ratio (X₁) and Total Asset Turnover (X₃) on Profitability (Y) in automotive sub-sector companies listed on the Indonesia Stock Exchange for the period 2018-2020.
ANALYSIS OF PREMIUM INCOME, INVESTMENT RESULTS AND UNDETWRITING RESULTS ON PROFIT (CASE STUDY AT PT. ASURANSI BANGUN ASKRIDA)
Authors: Masriza Masriza , Gustika Gita Sari , Yaspita Hasanah , Hartika Dewi
Published: August 2022

This research was conducted at PT. Asuransi Bangun Askrida. Just like in other financial institutions in general, insurance companies are required to sharpen the direction so that the vision and mission of insurance can be achieved. One strategy to achieve this vision is to improve the company's financial performance. PT. Asuransi Bangun Askrida with a partner motto in the business of protecting in grief, Askrida offers complete and intelligent insurance protection as well as reliable and trustworthy.

In addition to receiving premiums as one of the company's sources of income, the company also makes investments, the results of which are to offer insurance programs for both the public and the company. This is because apart from its business activities that provide protection to the public, insurance is also an institution that raises funds sourced from receiving insurance premiums from the public. Underwriting results are also profit-maximizing activities through risk acceptance which is expected to generate profits. Recognition of premium income and investment returns as well as underwriting results obtained in a certain period will determine the profit of the insurance company.

This study aims to analyze the effect of premium income, investment returns and underwriting results on profits. This study uses secondary data and multiple regression analysis. The targeted output in this research is publish disinta 3 or 4.
PENDAMPINGAN PENYUSUNAN LAPORAN KEUANGAN KEUANGAN SESUAI DENGAN STANDAR AKUNTANSI KEUANGAN ENTITAS MIKRO KECIL DAN MENENGAH (SAK-EMKM) PADA UMKM 7 SAUDARA
Authors: Sholihat Walmi , Hairudin Abdul , Heriasman Heriasman , Astarman Astarman , Windartini Sry
Published: August 2022

Perkembangan Usaha Mikro, Kecil dan Menengah di Indonesia beberapa tahun terakhir ini begitu pesat dan sangat menjanjikan. Tidak hanya sebagai penyerap tenaga kerja, UMKM juga menjadi pemicu pertumbuhan ekonomi di suatu daerah. UMKM yang berkembang dengan baik memberi dampak signifikan dalam bidang ekonomi kemasyarakatan dan jika dikelola dengan baik dan benar dapat menekan angka pengangguran dan kemiskinan. Perkembangan UMKM yang begitu pesat di Kota Rengat belum diimbangi dengan pelaksanaan kewajiban oleh pelaku UMKM. Masih banyak pelaku UMKM yang tidak melakukan pelaporan usaha mereka dalam bentuk Laporan Keuangan sesuai dengan Standar Akuntansi Keuangan Entitas Mikro, Kecil dan Menengah (SAK-EMKM) yang sudah diberlakukan sejak tahun 2016. Atas dasar manfaat laporan keuangan itulah penting bagi pelaku UMKM meningkatkan kualitas SDM dalam hal pelaporan keuangan agar meningkatkan keredibilitas dan kepatuhan hukum UMKM dimasa sekarang ini. Hasil dari kegiatan PKM webinar ini yaitu (1) Seluruh narasumber memberikan pemaparan yang sangat baik, dan penuh semangat dengan memberikan contoh secara langsung dan kasus nyata yang telah terjadi dalam hal Laporan Keuangan. (2) SDM yang terlibat dalam pendampingan ini notabene bukan dari bidang yang mengerti dengan pelaporan keungan. Mereka hanya mencatat kegiatan sederhana seperti kas masuk dan kas keluar saja. (3) Kegiatan PKM ini sangat bermanfaat dalam rangka menumbuhkan semangat pelaku UMKM khususnya dalam hal pelaporan keuangan karena selama ini masih belum terlalu prioritas bagi pelaku UMKM.
PENDAMPINGAN PENYUSUNAN LAPORAN KEUANGAN BADAN USAHA MILIK DESA (BUMdes) DESA PANDAN WANGI
Authors: CORRINA FATTI , RIRIEN DECI , SHOLIHAT WALMI , SARI GUSTIKA GITA , IRAWATI IRAWATI
Published: August 2022

Badan Usaha Milik Desa (BUMDesa) dibentuk sebagai penggerak rodaperekonomian desa, dan juga diharapkan dapat meningkatkan pendapatan asli desa(PADesa) sehingga tercapainya sebuah desa mandiri. Sebagai lembaga desa,BUMDesa wajib untuk membuat laporan keuangan seluruh unit usahanya denganbaik, akuntabel dan transparan. BUMDesa harus membuat dan mencatat transaksiyang terjadi setiap hari secara sistematis menggunakan sistem akuntansi. Tujuankegiatan PKM ini adalah untuk meningkatkan pemahaman, kesadaran danmemastikan penyusunan dokumen laporan keuangan BUMDesa sesuai denganstandar akuntansi keuangan yang berlaku. Kegiatan ini dilaksanakan pada BUMDesaMaju Jaya Mandiri di Desa Pandan Wangi, Kec. Peranap, Kab. Indragiri Hulu. Mitrakegiatan para adalah pengelola BUMDesa dan aparatue pemerintah desa.Permasalahan mitra adalah: (1) terbatasnya ilmu pengetahuan dan keterampilandalam menyusun laporan keuangan terutama sesuai dengan standar akuntansi yangberlaku, (2) terbatasnya sumber daya manusia yang dimiliki mitra, dan (3) adanyakewajiaban untuk menyusun dan melaporkan transaksi keuangan sesuai denganaturan Pemerintah. Metode yang digunakan adalah: ceramah/pemaparan,diskusi/tanya jawab, dan studi kasus serta pendampingan mitra. Hasil yang dicapaiadalah (1) mitra memiliki pengetahuan dasar dalam menganalisis dan mencatattransaksi keuangan yang terjadi pada badan usaha mereka, (2) mitra memilikiketerampilan dalam menyusun dokumen laporan kuangan BUMDesa sesuai denganstandar akuntansi yang berlaku.
The Genetic Basis of Hypertension: An Overview
Authors: Sultana Arifa , Saha Ananya , Akter Tahmina , Aktar Fahima , Chowdhury Jakir Ahmed , Chowdhury Abu Asad , Kabir Shaila , Amran Md. Shah
Published: August 2022

In light of the widespread recognition of the heritability of hypertension (HTN), numerous studies have been conducted to better understand the pathogenesis of different variants of HTN and their interactions. The complexity of crucial HTN makes it difficult to segregate and identify particular genes that influence blood pressure (BP) fluctuation, making the development of single-gene targeted treatments tough. Therefore, finding HTN susceptibility genes will contribute to the understanding of the biology behind the disease. Apart from its potential impact on antihypertensive drug therapy selection, genomic information may also contribute to identifying persons at risk of developing the condition, resulting in new preventative strategies. It is necessary to conduct more replication studies in other populations to confirm that there is a link between certain genetic variations and the varying response to these frequently used antihypertensive medications. Moreover, antihypertensive medication responsiveness to epigenetics and regulatory networks may be improved by further research. This may aid researchers to find new HTN therapeutic targets. This study aimed to come up with a list of known genetic variants that may play a role in HTN.
PENGARUH BUDAYA ORGANISASI, LINGKUNGAN KERJA DAN GAYA KEPEMIMPINAN TERHADAP KINERJA KARYAWAN DI PT. TRUSTLOG TOTAL SOLUSINDO
Authors: Mahdjub Wahjudi Utomo , Setiadi Pompong Budi , Rahayu Sri
Published: August 2022

The implication of the right organizational culture, supported by a good work environment and the right leadership style in its function of managing human resources in a company will have an impact on the work behavior of employees in a company which will ultimately affect the performance of a company as a whole. The purpose of this study was to determine the effect of work environment organizational culture and leadership style on employees at PT Trustlog Total Solusindo in Surabaya. The instrument of this research used a questionnaire. Samples were taken as many as 40 respondents employees of PT Trustlog Total Solusindo in the city of Surabaya. Analysis and data processing using SPSS. The results of this study indicate that organizational culture and leadership style have no effect on employee performance, while the work environment affects employee performance
PENGARUH MOTIVASI KERJA DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN DI PT ERA MULIA ABADI SEJAHTERA
Authors: Amaliyanti Rizka Anggraeni , Setiadi Pompong Budi , Rahayu Sri
Published: August 2022

This study aims to determine the effect of work motivation and work environment on employee performance. This research was conducted on employees at PT Era Mulia Abadi Sejahtera in Malang, East Java. The research method used in this research is descriptive by using quantitative methods. This study uses primary data, namely the distribution of questionnaires by taking employee respondents at PT Era Mulia Abadi Sejahtera in Malang, East Java. This study uses a sample of the total population of the number of employees in the office. The analytical method used is multiple regression analysis which is processed using the SPSS application. The results of this study indicate that the variables of work motivation and work environment have a positive effect on employee performance. And the variables of work motivation and work environment simultaneously affect employee performance.