bluuebunny/crossref_metadata_2025 huggingface dataset:
Location-Aware Resource Discovery and QoR-Driven Resource Selection for Hybrid Web Environments
Authors: Kallab Lara , Chbeir Richard , Mrissa Michael
Published: October 2021

In the Web of Things (WoT) context, an increasing number of stationary and mobile objects provide functions as RESTful services, also called resources, that can be combined with other existing Web resources, to create value-added processes. However, nowadays resource discovery and selection are challenging, due to (1) the growing number of resources providing similar functions, making Quality of Resource (QoR) essential to select appropriate resources, (2) the transient nature of resource availability due to sporadic connectivity, and (3) the location changes of mobile objects in time. In this paper, we first present a location-aware resource discovery that relies on a 3-dimensional indexing schema, which considers object location for resource identification. Then, we present a QoR-driven resource selection approach that uses a Selection Strategy Adaptor (SSA) to form i-compositions (with i ∈N*) offering different implementation alternatives. The defined SSA allows forming resource compositions while considering QoR constraints and Inputs/Outputs matching of related resources, as well as resource availability and users different needs (e.g., optimal and optimistic compositions obtained using a scoring system). Analyses are made to evaluate our service quality model against existing ones, and experiments are conducted in different environments setups to study the performance of our solution.
State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention
Authors: Argañarás José Gabriel , Wong Yan Tat , Begg Rezaul , Karmakar Nemai Chandra
Published: October 2021

Radar technology is constantly evolving, and new applications are arising, particularly for the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention, which may play a key role in maintaining the quality of life of people as they age. Alarming statistics indicate that one in three adults aged 65 years or older will experience a fall every year. A review of the sensors used for gait analysis and their applications to technology-based fall prevention interventions was conducted, focusing on wearable devices and radar technology. Knowledge gaps were identified, such as wearable radar development, application specific signal processing and the use of machine learning algorithms for classification and risk assessment. Fall prevention through gait monitoring in the natural environment presents significant opportunities for further research. Wearable radar could be useful for measuring gait parameters and performing fall risk-assessment using statistical methods, and could also be used to monitor obstacles in real-time.
A Transfer Function Model Development for Reconstructing Radial Pulse Pressure Waveforms Using Non-Invasively Measured Pulses by a Robotic Tonometry System
Authors: Jo Gwanghyun , Yang Tae-Heon , Koo Jeong-Hoi , Jun Min-Ho , Kim Young-Min
Published: October 2021

The primary goal of this study is to develop a mathematical model that can establish a transfer function relationship between the “external” pulse pressures measured by a tonometer and the “internal” pulse pressure in the artery. The purpose of the model is to accurately estimate and rebuild the internal pulse pressure waveforms using arterial tonometry measurements. To develop and validate a model without human subjects and operators for consistency, this study employs a radial pulse generation system, a robotic tonometry system, and a write model with an artificial skin and vessel. A transfer function model is developed using the results of the pulse testing and the mechanical characterization testing of the skin and vessel. To evaluate the model, the pulse waveforms are first reconstructed for various reference pulses using the model with tonometry data. They are then compared with pulse waveforms acquired by internal measurement (by the built-in pressure sensor in the vessel) the external measurement (the on-skin measurement by the robotic tonometry system). The results show that the model-produced pulse waveforms coinciding well with the internal pulse waveforms with small relative errors, indicating the effectiveness of the model in reproducing the actual pulse pressures inside the vessel.
Integrated Time-Fractional Diffusion Processes for Fractional-Order Chaos-Based Image Encryption
Authors: Ge Fudong , Qin Zufa , Chen YangQuan
Published: October 2021

The purpose of this paper is to explore a novel image encryption algorithm that is developed by combining the fractional-order Chua’s system and the 1D time-fractional diffusion system of order α∈(0,1]. To this end, we first discuss basic properties of the fractional-order Chua’s system and the 1D time-fractional diffusion system. After these, a new spatiotemporal chaos-based cryptosystem is proposed by designing the chaotic sequence of the fractional-order Chua’s system as the initial condition and the boundary conditions of the studied time-fractional diffusion system. It is shown that the proposed image encryption algorithm can gain excellent encryption performance with the properties of larger secret key space, higher sensitivity to initial-boundary conditions, better random-like sequence and faster encryption speed. Efficiency and reliability of the given encryption algorithm are finally illustrated by a computer experiment with detailed security analysis.
Encoder-Decoder Architecture for Ultrasound IMC Segmentation and cIMT Measurement
Authors: Al-Mohannadi Aisha , Al-Maadeed Somaya , Elharrouss Omar , Sadasivuni Kishor Kumar
Published: October 2021

Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) measurements have been significantly implemented to perform early diagnosis of CVDs by analyzing IMT features. Using computer vision algorithms on CCA images is not widely used for this type of diagnosis, due to the complexity and the lack of dataset to do it. The advancement of deep learning techniques has made accurate early diagnosis from images possible. In this paper, a deep-learning-based approach is proposed to apply semantic segmentation for intima-media complex (IMC) and to calculate the cIMT measurement. In order to overcome the lack of large-scale datasets, an encoder-decoder-based model is proposed using multi-image inputs that can help achieve good learning for the model using different features. The obtained results were evaluated using different image segmentation metrics which demonstrate the effectiveness of the proposed architecture. In addition, IMT thickness is computed, and the experiment showed that the proposed model is robust and fully automated compared to the state-of-the-art work.
A Decentralized Fuzzy Rule-Based Approach for Computing Topological Relations between Spatial Dynamic Continuous Phenomena with Vague Boundaries Using Sensor Data
Authors: Ntankouo Njila Roger Cesarié , Mostafavi Mir Abolfazl , Brodeur Jean
Published: October 2021

Sensor networks (SN) are increasingly used for the observation and monitoring of spatiotemporal phenomena and their dynamics such as pollution, noise and forest fires. In multisensory systems, a sensor node may be equipped with different sensing units to observe and detect several spatiotemporal phenomena at the same time. Simultaneous detection of different phenomena can be used to infer their spatial interactions over space and time. For this purpose, decentralized spatial computing approaches have shown their potential for effective reasoning on spatial phenomena within a sensor network. However, in most cases, spatial extents of continuous dynamic phenomena are uncertain, and their relations and interactions cannot be inferred by the existing approaches at the sensor node level. To address this limitation, in this paper, we propose and develop a decentralized fuzzy rule-based spatial reasoning approach to depict the spatial relations that hold between two evolving spatial phenomena with fuzzy boundaries. The proposed method benefits from a more adapted fuzzy-crisp representation of dynamic phenomena observed by SN where each vague phenomenon is composed of five distinguished zones including the kernel, conjecture and exterior zone and their boundaries. For each detected phenomenon, a sensor node will report one of these zones based on its location. Aggregation of the information reported from the sensor nodes allows reasoning on spatial relations between the observed phenomena and their evolution. Such spatial information provides users with more valuable near real-time information on the state of different phenomena that can be used for informed decision-making.
Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery
Authors: Sánchez-Pastor Jesús , Miriya Thanthrige Udaya S. K. P. , Ilgac Furkan , Jiménez-Sáez Alejandro , Jung Peter , Sezgin Aydin , Jakoby Rolf
Published: October 2021

Self-localization based on passive RFID-based has many potential applications. One of the main challenges it faces is the suppression of the reflected signals from unwanted objects (i.e., clutter). Typically, the clutter echoes are much stronger than the backscattered signals of the passive tag landmarks used in such scenarios. Therefore, successful tag detection can be very challenging. We consider two types of tags, namely low-Q and high-Q tags. The high-Q tag features a sparse frequency response, whereas the low-Q tag presents a broad frequency response. Further, the clutter usually showcases a short-lived response. In this work, we propose an iterative algorithm based on a low-rank plus sparse recovery approach (RPCA) to mitigate clutter and retrieve the landmark response. In addition to that, we compare the proposed approach with the well-known time-gating technique. It turns out that RPCA outperforms significantly time-gating for low-Q tags, achieving clutter suppression and tag identification when clutter encroaches on the time-gating window span, whereas it also increases the backscattered power at resonance by approximately 12 dB at 80 cm for high-Q tags. Altogether, RPCA seems a promising approach to improve the identification of passive indoor self-localization tag landmarks.
Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in Children
Authors: Kim Dong-Wook , Ahn Hong-Gi , Kim Jeeyoung , Yoon Choon-Sik , Kim Ji-Hong , Yang Sejung
Published: October 2021

In this study, we aimed to develop a new automated method for kidney volume measurement in children using ultrasonography (US) with image pre-processing and hybrid learning and to formulate an equation to calculate the expected kidney volume. The volumes of 282 kidneys (141 subjects, <19 years old) with normal function and structure were measured using US. The volumes of 58 kidneys in 29 subjects who underwent US and computed tomography (CT) were determined by image segmentation and compared to those calculated by the conventional ellipsoidal method and CT using intraclass correlation coefficients (ICCs). An expected kidney volume equation was developed using multivariate regression analysis. Manual image segmentation was automated using hybrid learning to calculate the kidney volume. The ICCs for volume determined by image segmentation and ellipsoidal method were significantly different, while that for volume calculated by hybrid learning was significantly higher than that for ellipsoidal method. Volume determined by image segmentation was significantly correlated with weight, body surface area, and height. Expected kidney volume was calculated as (2.22 × weight (kg) + 0.252 × height (cm) + 5.138). This method will be valuable in establishing an age-matched normal kidney growth chart through the accumulation and analysis of large-scale data.
Permeable Pavements as a Means to Save Water in Buildings: State of the Art in Brazil
Authors: Martins Vaz Igor Catão , Antunes Lucas Niehuns , Ghisi Enedir , Thives Liseane Padilha
Published: October 2021

Permeable pavements have been the subject of numerous studies in recent decades. The possibility of dissipating stormwater more smoothly and generating numerous benefits to the environment and users makes the use of permeable pavements an excellent possibility of integration into sustainable and resilient water management systems in cities. In Brazil, numerous studies on the quantity and quality of infiltrated water, permeability of the coating, clogging, environmental burden, and feasibility, among other characteristics, have been researched. Within this theme, the Federal University of Santa Catarina (UFSC) has contributed with ten papers in the research of permeable pavements in the last six years, which address various topics about the effectiveness and applicability of permeable pavements. This paper reviews the studies conducted at UFSC on permeable pavements and discusses the different results within the main issues found. In general, the selected documents addressed seven themes in the studies: potential for potable water savings, clogging, quantity and quality of the water infiltrated into the pavement, Life Cycle Assessment (LCA) and its variants, and hydraulic and structural design details. More specifically, many selected papers assess the potential use of stormwater harvested through permeable pavements in non-potable uses of buildings. The possibility of aligning the benefits of green infrastructure with the rational use of water expands the advantages of the system and can help prevent future water scarcity, as well as reduce the environmental impacts of paving.
Studies on the Separation and Purification of the Caulis sinomenii Extract Solution Using Microfiltration and Ultrafiltration
Authors: Wang Xi , Feng Huimin , Muhetaer Halimulati , Peng Zuren , Qiu Ping , Li Wenlong , Li Zheng
Published: October 2021

The separation and purification process of alkaloids faces great challenges of pollution, high energy consumption and low continuity. In this study, the effects of ceramic microfiltration (MF) membrane (membrane pore size of 0.50 μm, 0.20 μm, 0.05 μm) and organic ultrafiltration (UF) membrane (membrane molecular weight cut-off of 10 KDa and 1 KDa) on the separation and purification of Caulis sinomenii extract solution in pilot scale were studied. The cleaning effects of different cleaning methods (pure water, 1% HCl-NaOH, 1% sodium hypochlorite) were investigated. The experimental results indicated that 0.05 μm ceramic membrane and 1 kDa UF membrane have higher sinomenine hydrochloride (SH) permeabilities and total solids (TS) removal rates. The ceramic membrane was circulating cleaned by 1% sodium hypochlorite solution for 1 h; the membrane flux can be restored to more than 90% of the original, the membrane flux of 1 kDa UF membrane can be restored to 99.2% of the original by pure water washing. From the above study, the optimal technic parameters was determined in which 0.05 μm ceramic MF membrane and 1 kDa UF membrane were used to separate and purify the Caulis sinomenii extract solution to remove the invalid ingredients, and the two kinds of membranes were cleaned with 1% sodium hypochlorite solution and pure water, respectively, to keep satisfactory membrane fluxes. The study provided an environment-friendly alternative for the separation and purification of alkaloids in natural products, which has a good prospect for the industrial application.
The Separation and Purification of Ellagic Acid from Phyllanthus urinaria L. by a Combined Mechanochemical-Macroporous Resin Adsorption Method
Authors: Guo Zili , Xiong Shuting , Xie Yuanyuan , Liang Xianrui
Published: October 2021

Ellagic acid is a phenolic compound that exhibits both antimutagenic and anticarcinogenic activity in a wide range of assays in vitro and in vivo. It occurs naturally in some foods such as raspberries, strawberries, grapes, and black currants. In this study, a valid and reliable method based on mechanochemical-assisted extraction (MCAE) and macroporous adsorption resin was developed to extract and prepare ellagic acid from Phyllanthus urinaria L. (PUL). The MCAE parameters, acidolysis, and macroporous adsorption resin conditions were investigated. The key MCAE parameters were optimized as follows: the milling time was 5 min, the ball mill speed was 100 rpm, and the ball mill filling rate was 20.9%. Sulfuric acid with a concentration of 0.552 mol/L was applied for the acidolysis with the optimized acidolysis time of 30 min and acidolysis temperature of 40 °C. Additionally, the XDA-8D macroporous resin was chosen for the purification work. Both the static and dynamic adsorption tests were carried out. Under the optimized conditions, the yield of ellagic acid was 10.2 mg/g, and the content was over 97%. This research provided a rapid and efficient method for the preparation of ellagic acid from the cheaply and easily obtained PUL. Meanwhile, it is relatively low-cost work that can provide a technical basis for the comprehensive utilization of PUL.
Plasma Short-Chain Fatty Acids and Their Derivatives in Women with Gestational Diabetes Mellitus
Authors: Ivanovová Eliška , Piskláková Barbora , Friedecká Jaroslava , Krystyník Ondřej , Friedecký David , Karásek David
Published: October 2021

Gestational diabetes mellitus (GDM) represents a heterogeneous group of hyperglycemic metabolic disorders that are associated with health outcomes for mothers and offspring. Currently, diagnosis of GDM is based on repetitive measurement of increased fasting plasma glucose (FPG) or upon results showing increased postprandial plasma glucose (PPG). Recently, it was discovered that the changes in the gut microbiome during pregnancy are associated with insulin resistance and obesity. Therefore, in this study, relevant products of gut bacteria, short-chain fatty acids (SCFA) and their derivatives were evaluated together with baseline body composition characteristics and common biochemical parameters in women with three different phenotypes of GDM, healthy pregnant and nonpregnant women. Plasma SCFA and their derivatives were derivatized, separated on reversed-phase liquid chromatography and detected by a triple-quadrupole mass spectrometer. 3-hydroxybutyrate (3-OH-BA), 4-methylvalerate (4-MVA) and isovalerate (IVA), together with selected parameters associated with baseline body composition characteristics and biochemistry, were evaluated as statistically significant. 3-OH-BA, which was increased in all three groups of women with different phenotypes of GDM, reflects a ketogenic state of GDM. In all groups of pregnant women, elevated/suppressed concentrations of 4-MVA/IVA were found. These findings show the importance of monitoring SCFA and other parameters besides glucose in women with GDM.
Are PM2.5 in the Atmosphere of a Small City a Threat for Health?
Authors: Loupa Glykeria , Kryona Zoi Panagiota , Pantelidou Varvara , Rapsomanikis Spyridon
Published: October 2021

A number of time series from two local PM2.5 monitoring stations were analyzed, for a small city, in North East Greece. They coincided with SARS-CoV-2 pandemic lockdowns and lifting restrictions. The aim of this analysis was to establish concentration exceedances and roughly apportion sources of the PM2.5 concentration problem. This was established by analyzing 24-h filter samples of trace elements using WD-XRF. It was found that the restrictions and their lifting did not significantly affect these concentrations. The main problems were assigned to emissions from biomass burning central heating and Saharan dust episodes. The study results indicate that even in small cities the air quality as far as PM2.5 is concerned can still be deleterious to the local population according to the WHO restricting levels but not according to the EU levels. The fact that PM2.5 is not a single chemical pollutant makes matters more complicated and renders such concentration upper levels, of little significance.
The Fallow Period Plays an Important Role in Annual CH4 Emission in a Rice Paddy in Southern Brazil
Authors: Maboni Cristiano , Bremm Tiago , Aguiar Leonardo José Gonçalves , Scivittaro Walkyria Bueno , de Arruda Souza Vanessa , Zimermann Hans Rogério , Teichrieb Claudio Alberto , de Oliveira Pablo Eli Soares , Herdies Dirceu Luis , Degrazia Gervásio Annes , Roberti Débora Regina
Published: October 2021

Paddy fields are significant anthropogenic sources of methane (CH4) emissions. In southern Brazil, rice is grown in lowland flooded areas once a year, followed by a long fallow period. This study aimed to measure CH4 fluxes in a rice paddy field in southern Brazil during the rice-growing season of 2015/2016 and the following fallow period. The fluxes were estimated using the eddy covariance (EC) technique and soil chamber (SC). Diurnal and seasonal variations of CH4 fluxes and potential meteorological drivers were analyzed. The CH4 fluxes showed distinct diurnal variations in each analyzed subperiod (vegetative, reproductive, pre-harvest, no rice, and land preparation), characterized by a single-peak diurnal pattern. The variables that most influenced methane emissions were air and surface temperatures. In the growing season, the rice vegetative stage was responsible for most of the measured emissions. The accumulated annual emission estimated was 44.88 g CH4 m−2 y−1, being 64% (28.50 g CH4 m−2) due to the rice-growing season and 36% (16.38 g CH4 m−2) due to the fallow period. These results show the importance of including fallow periods in strategies to mitigate methane emissions in flood irrigated rice-growing areas.
Urban Green Space Planning, Policy Implementation, and Challenges: The Case of Addis Ababa
Authors: Eshetu Shibire Bekele , Yeshitela Kumelachew , Sieber Stefan
Published: October 2021

Urban forestry and green spaces have less priority in urban planning. This research intends to assess the policy and planning of urban green spaces with their potential implementation status and challenges in planning and implementation. The general objective is to assess urban green space planning, policy, and implementation strategies and challenges encountered in Addis Ababa. The primary data was collected through key informant interviews, focus group discussions, and field observation; secondary data from a literature review along with examining policy and masterplans of Addis Ababa has been used. The mapping of stakeholder and institutional arrangements is analyzed using stakeholders’ consultation. Triangulation is used for data validation and analysis. Existing policy and proclamations must be supported by legislative regulations and implementation frameworks that provide the basis for concrete action plans. The incentives stipulated by the forest policy are not implemented to the required level. The 10th masterplan of the city (2017–2027) shows that the city will increase its green area development and public recreation coverage to 30% by 2020. Principles, such as multi-functionality, connectivity, green-grey interaction, and social inclusiveness, are considered in the planning of the green space development in the 10th masterplan. The research concludes that regulations and directives are not clearly drafted by responsible bodies, and low enforcement is hardly applied with respect to the green space development of Addis Ababa.
A Life Cycle Assessment Approach for Vegetables in Large-, Mid-, and Small-Scale Food Systems in the Midwest US
Authors: Stone Tiffanie F. , Thompson Janette R. , Rosentrater Kurt A. , Nair Ajay
Published: October 2021

Although vegetables are important for healthy diets, there are concerns about the sustainability of food systems that provide them. For example, half of fresh-market vegetables sold in the United States (US) are produced in California, leading to negative impacts associated with transportation. In Iowa, the focus of this study, 90% of food is imported from outside the state. Previous life cycle assessment (LCA) studies indicate that food consumption patterns affect global warming potential (GWP), with animal products having more negative impacts than vegetables. However, studies focused on how GWP, energy, and water use vary between food systems and vegetable types are less common. The purpose of this study was to examine these environmental impacts to inform decisions to buy locally or grow vegetables in the Midwest. We used a life cycle approach to examine three food systems (large-, mid-, and small-scale) and 18 vegetables commonly grown in/near Des Moines, Iowa. We found differences in GWP, energy, and water use (p ≤ 0.001 for each) for the three food systems with the large-scale scenario producing more emissions. There were also differences among vegetables, with the highest GWP for romaine lettuce (1.92 CO2eq/kg vegetable) approximately three times that of leaf lettuce (0.65 CO2eq/kg vegetable) at the large scale. Hotspots and tradeoffs between GWP, energy, and water use were also identified and could inform vegetable production/consumption based on carbon and water use footprints for the US Midwest.
Potential for Interspecies Toxicity Estimation in Soil Invertebrates
Authors: Barron Mace G. , Lambert Faith N.
Published: October 2021

Interspecies correlation estimation (ICE) models are linear regressions that predict toxicity to a species with few data using a known toxicity value in a surrogate species. ICE models are well established for estimating toxicity to fish and aquatic invertebrates but have not been generally developed or applied to soil organisms. To facilitate the development of ICE models for soil invertebrates, a database of single chemical toxicity values was compiled from knowledgebases and reports that included 853 records encompassing 192 chemicals and 12 species. Most toxicity data for single chemicals tested in soil media were for species of earthworms, with only limited data for other species and taxa. ICE models were developed for eleven separate species pairs as least squares log-linear regressions of acute toxicity values of the same chemicals tested in both the surrogate and predicted species of soil organisms. Model uncertainty was assessed using leave one out cross-validation as the fold difference between a predicted and measured toxicity value. ICE models showed high accuracy within order (e.g., earthworm to earthworm), but less prediction accuracy in the two across-taxa models (Arthropoda to Annelida and the inverse). This study provides a proof-of-concept demonstration that ICE models can be developed for soil invertebrates.
Sustainable Development and Resilience: A Combined Analysis of the Cities of Rotterdam and Thessaloniki
Authors: Metaxas Theodore , Psarropoulou Stella
Published: October 2021

The concept of a resilient city and its relationship with sustainable development has already received wide attention among academics, practitioners, and decision-makers, especially in the last decade. For many scholars, resilience is one of the concepts of sustainable development, in the sense that even more sustainability is an essential goal for development, and resilience is a way of thinking and acting that would lead us towards achieving sustainability. Moreover, resilience is about building and planning to future-proof cities. Resilience is a process that represents a new way of thinking, determining which urban challenges and crises have the lowest impact, and also building back better and evolving. The main aim of this study is to identify the potential relationship between sustainable development and resilience by using the Espiner et al. model. The model, which was created in reference to nature-based tourism destinations, suggests that the relationship between sustainability and resilience in tourism can be illustrated by three potential states: emergent, developing, and mature. In the present study, we adapt these potential states in case studies of the cities of Rotterdam (The Netherlands) and Thessaloniki (Greece), in order to demonstrate whether they are emergent, developing, or mature, by examining the critical documents of the (a) City Resilience Framework, and (b) Resilient Strategy Reports for Thessaloniki and Rotterdam, respectively.
The Role of Galectin-3 in 1α,25(OH)2D3-Regulated Osteoclast Formation from White Leghorn Chickens In Vitro
Authors: Gu Jianhong , Min Wenyan , Zhao Yutian , Zhang Xueqing , Yuan Yan , Liu Xuezhong , Bian Jianchun , Tong Xishuai , Liu Zongping
Published: October 2021

Bones play an important role in maintaining the level of calcium in blood. They provide support for soft tissues and hematopoiesis and undergo continuous renewal throughout life. In addition, vitamin D is involved in regulating bone and calcium homeostasis. Galectin-3 (Gal-3) is a β-galactoside-binding protein that can regulate bone cell differentiation and function. Here, we aimed to study the regulatory effects of Gal-3 on vitamin-D-regulated osteoclastogenesis and bone resorption in chicken. Gal-3 expression in bone marrow stromal cells (BMSCs) from 18-day-old chicken embryos was inhibited or overexpressed. BMSCs were then co-cultured with bone marrow monocytes/macrophages (BMMs) with or without addition of 1α,25(OH)2D3. The results showed that 1α,25(OH)2D3 upregulated the expression of Gal-3 mRNA and receptor activator of nuclear-factor κB ligand (RANKL) expression in BMSCs and promoted osteoclastogenesis, as shown by the upregulated expression of osteoclast (OC) markers (CtsK, CAII, MMP-9, and TRAP) and increased bone resorption, a method for measuring the bone resorption area in vitro. Knockdown of Gal-3 by small-interfering RNA (siRNA) in BMSCs downregulated the expression of RANKL mRNA and attenuated the effects of 1α,25(OH)2D3 on osteoclastogenesis and bone resorption. Conversely, overexpression of Gal-3 in BMSCs enhanced the effects of osteoclastogenesis and bone resorption by increasing the expression of RANKL mRNA. These results demonstrated that Gal-3 mediates the differentiation and bone resorption of osteoclasts regulated by 1α,25(OH)2D3.
A Novel Method for Busbar Design of Electric Vehicle Motor Drive
Authors: Huang Yunhao , Ning Puqi , Cao Han , Fan Tao
Published: October 2021

At present, the DC busbar design is one of the bottlenecks restricting the improvement of the power density of motor drives. Therefore, this paper proposes a three-dimensional line probe algorithm, which can realize the automatic routing of laminated busbar in motor drives. The specific rules and implementation of this method are introduced in detail in this paper. Finally, an example of busbar design of a vehicle motor drive is given to verify the routing rate and execution speed of the algorithm.
Data Analysis and Visualization Platform Design for Batteries Using Flask-Based Python Web Service
Authors: Liang Zuyi , Liang Zongwei , Zheng Yubin , Liang Beichen , Zheng Linfeng
Published: October 2021

Battery operating data of electric vehicles is becoming increasingly quantified and complicated. A data analysis platform is necessary to excavate high-value battery status information for more efficient battery management. This paper proposes a Flask framework and Pyecharts-based lithium-ion data analysis and visualization platform. The design processes including the front-end and back-end frameworks, data preprocessing, data visualization, and data storage are elaborated. In the proposed data platform, a case study of battery state of charge estimation using different machine learning methods is demonstrated, and most of the estimation errors are less than 2.0%, highlighting the effectiveness of the platform.
Prediction and measurement of acoustic transmission loss of acoustic window with composite sandwich structure
Authors: Lee C.M. , Jeon K.S. , Jung B.G. , Lee Y.M. , Kang M.W.
Published: October 2021

Underwater acoustic detection sensors are mounted on the outside of the submarine; the acoustic window for protecting these sensors must be structurally robust while also minimizing any deterioration of sensor's sound detection performance. These two conditions are typically satisfied
simultaneously by using composite materials with acoustic window materials. However, since such composite material is manufactured by laminating fibers, there is the probability that delamination occurs, in which an air layer is formed inside, due to manufacturing process errors. Delamination
inside the acoustic window degrades the sensor's acoustic performance and results in a failure of military operations. In the case of composites composed of sandwich structures located in the central part, the possibility of internal delamination is higher than in a single composite material.
Therefore, it is very important to discriminate the presence or absence of internal delamination after producing an acoustic window. This article uses numerical and analytical methods to determine the internal delamination of the acoustic window fabricated with a sandwich structure. In addition,
the results were analyzed and compared through ultrasonic measurement and acoustic transmission loss test.
Singular vector filtering method for mitigation of disturbance enhancement in multichannel active noise control systems
Authors: Zhuang Yongjie , Wang Xuchen , Liu Yangfan
Published: October 2021

In the design of multichannel active noise control filters, the disturbance enhancement phenomenon will sometimes occur, i.e., the resulting sound is enhanced instead of being reduced in some frequency bands, if the control filter is designed to minimize the power of error signals in
other frequency bands or across all frequencies. In previous work, a truncated singular value decomposition method was applied to the system autocorrelation matrix to mitigate the disturbance enhancement. Some small singular values and the associated singular vectors are removed, if they are
responsible for unwanted disturbance enhancement in some frequency bands. However, some of these removed singular vectors may still contribute to the noise control performance in other frequency bands; thus, a direct truncation will degrade the noise control performance. In the present work,
through an additional filtering process, the set of singular vectors that causes the disturbance enhancement is replaced by a set of new singular vectors whose frequency responses are attenuated in the frequency band where disturbance enhancement occurs, while the frequency responses in other
frequency bands are unchanged. Compared with truncation approach, the proposed method can maintain the performance in the noise reduction bands, while mitigating the influence in disturbance enhancement bands.
Desarrollo de competencias profesionales del Licenciado en Administración (UNR) a través del Taller de Práctica Profesional
Authors: Oviedo Raúl Ricardo
Published: October 2021

Partiendo del interrogante respecto a si logra la carrera formar profesionales competentes, suficientemente preparados para enfrentar contextos dinámicos e inestables, particularmente con sus instancias actuales de práctica profesional, el estudio se plantea como problema de investigación el Desarrollo de Competencias Profesionales de los Licenciados en Administración de la Universidad Nacional de Rosario a través de las distintas modalidades de Práctica Profesional implementadas en la Carrera: Pasantía, Trabajo Final y Tesina. La investigación adopta un enfoque predominantemente cuantitativo, realizándose un estudio descriptivo, de corte transversal. El principal instrumento de relevamiento es la encuesta, aplicándose un cuestionario autoadministrado a una muestra autoseleccionada de graduados de la carrera.
legibilidad de textos en el ámbito universitario:
Authors: Bibiloni Gabriel , Ingrassia Ramiro Carlos
Published: October 2021

Frente a la emergencia sanitaria por el CoVid 19, que implicó una virtualización acelerada del dictado de clases, generó distintas problemáticas. Al comienzo pareció que el problema radicaba en el proceso mismo de educación. Sin embargo, dada las situaciones detectadas durante el cursado de la materia Tecnología de la Información II de la carrera de Licenciatura en Administración y en el marco del proyecto de investigación “Evaluación de Perfil Tecnológico del Licenciado en Administración”; surge la pregunta: ¿Cómo nos leemos o escribimos en el proceso de aprendizaje? Dado que repentinamente, expresado de forma simbólica, se pasó de la frase “Nos vemos” a “Nos leemos” o “Nos escribimos”. De esta manera, se analizó, en una primera instancia, la legibilidad gramatical de aquellos participantes en el proceso de aprendizaje: Estudiantes, Docentes y Material Bibliográfico. En esta etapa se comparan los niveles de legibilidad (en términos gramaticales) de los anteriores, que como principal conclusión se tiene que: si un estudiante produce un texto “difícil” fuera posible que cuando lea un texto “difícil” tenga una comprensión más eficiente. Sin embargo, no pudiera establecer lo contrario, si un estudiante produce un texto “fácil” dicha facilidad es para quien lee ese texto por lo que no pudiera establecerse una relación lineal cuando dicho estudiante lee un texto “difícil”. Igualmente, se plantea una próxima investigación en el campo de la legibilidad léxica para encontrar asociaciones de manera explícita.
Imagen de la Licenciatura en Administración (UNR) en aquellos estudiantes de Ciencias Económicas que no la eligieron
Authors: Oviedo Raúl Ricardo , Racca Adriana Patricia , Suñer María Natalia , Fior Marina , Ford Jairo Jesús
Published: October 2021

El presente artículo aborda la imagen que tienen de la Licenciatura en Administración los alumnos de las demás carreras de Ciencias Económicas, en torno a su perfil profesional, competencias específicas, ámbito de desarrollo profesional entre otras cuestiones.

Luego de realizar un relevamiento de corte cuantitativo se obtuvo como resultado que, con sus matices, tanto los estudiantes de Contador Público como de Licenciatura en Economía coinciden en la mayoría de sus respuestas en lo que respecta a la representación de la Licenciatura en Administración.
Impacto de la pandemia por Covid-19 en la motivación y clima laboral en dos Pymes rosarinas
Authors: Albano Sergio , Oviedo Raúl Ricardo , Santero Mariel Sonia , Sassone Mirna , Clapera Facundo , Botin Josefina , Secchi J. Ignacio
Published: October 2021

El presente trabajo detalla los resultados obtenidos de una encuesta implementada en dos pymes de la ciudad de Rosario con el fin de estudiar el impacto de la pandemia por Covid-19 en el año 2020. Aquí se analizan los resultados preliminares de dicha encuesta al total de 58 empleados, desglosados adecuadamente para poder evaluar el impacto, tanto positivo como negativo, de la implementación de los protocolos a fin de mitigar la propagación de la enfermedad y poder continuar con las tareas asignadas. Cabe destacar que ambas empresas estuvieron desde el inicio habilitadas a trabajar por pertenecer a un rubro considerado esencial.
IDENTIFIKASI GULMA DI LAHAN PERTANIAN HORTIKULTURA KECAMATAN TARAKAN UTARA KALIMANTAN UTARA
Authors: Murtilaksono Aditya , Adiwena Muhammad , Nurjanah Nurjanah , Rahim Abdul , Syahil Muhammad
Published: October 2021

AbstractTarakan is a city located in North Kalimantan Province. Tarakan City Has four Districts, namely East Tarakan District, West Tarakan District, East Tarakan District, and North Tarakan. District Residents of North Tarakan District with various kinds of occupations. One of the fields of work in North Tarakan District is Farmers. Every sub-district in North Tarakan District has a farmer group leader. One of the problems of farmers in North Tarakan District is their lack of knowledge about pests, disease and weeds. Pests, disease and weeds, assuming we do not control, will reduce agricultural yields of farmers. Weeds are plants that live on agricultural land and are detrimental to farmers because they have the ability to compete in agricultural land that does not have nutrients, sunlight and air on agricultural land. Therefore it is necessary to carry out weed investigations on farmers' land in Tarakan City so that it can support food security in North Tarakan District. Based on the results of weed investigations in North Tarakan District, it can be concluded that the highest weed found in North Tarakan District with an SDR value of 18.92% was Elusine indica and the lowest was found in North Tarakan District with an SDR value of 0.16% was Mikania micrantha weed, the total number Weeds identified were 29 weed species.Key words: identification,  vegetables, vegetation, weed Abstrak Tarakan merupakan Kota yang terletak di Provinsi Kalimantan Utara. Kota Tarakan Memiliki empat Kecamatan yaitu Kecamatan Tarakan Timur, Kecamatan Tarakan Barat, Kecamatan Tarakan Timur, dan Kecamatan Tarakan Utara Penduduk Kecamatan Tarakan Utara dengan berbagai macam bidang pekerjaan. Salah satu bidang pekerjaan yang terdapat di Kecamatan Tarakan Utara adalah Petani. Setiap kelurahan  di Kecamatan Tarakan Utara Memiliki Ketua Kelompok Tani. Salah satu permasalan petani yang terdapat di Kecamatan Tarakan Utara adalah kurangnya ilmu pengetahuan tentang hama, penyakit dan gulma. Hama, penyakit dan gulma apabila kita tidak dikendalikan akan menurunkan hasil pertanian petani. Gulma adalah tumbuhan yang hidup di lahan pertanian dan bersifat merugikan bagi petani karena memiliki kemampuan untuk bersaing dalam perebutan unsur hara, cahaya matahari dan air di lahan pertanian. Oleh karena itu perlu dilakukan penelitian identifikasi gulma pada lahan petani di Kota Tarakan sehingga dapat mendukung ketahanan pangan di Kecamatan Tarakan Utara. Berdasarkan hasil penelitian identifikasi gulma di Kecamatan Tarakan Utara dapat disimpulkan gulma yang paling tinggi didapatkan di Kecamatan Tarakan Utara dengan Nilai SDR 18.92% adalah gulma Elusine indica dan gulma yang paling  rendah didapatkan di Kecamatan Tarakan Utara dengan Nilai SDR 0.16% adalah gulma Mikania micrantha, jumlah total gulma yang teridentifikasi adalah 29 spesies gulma.
ANALISIS RISIKO PRODUKSI USAHA SARANG BURUNG WALET (Collacalia Fuciphagus) DI KABUPATEN TANA TIDUNG
Authors: Sulistyo Anang , Putri Megawati Ayu
Published: October 2021

AbstrakMembangun usaha sarang burung walet rumahan bukanlah hal yang mudah, selain harus benar-benar memahami cara mendatangkan burung,merawat sarang sampai tahap panen. Penelitian ini bertujuan untuk, 1) mengetahui sumber–sumber risiko produksi dan  dampaknya terhadap usaha sarang burung walet; 2) merumuskan strategi mengatasi risiko produksi usaha sarang burung walet di Kabupaten Tana Tidung. Penelitian ini dilakukan pada 30 peternak sarang walet di Kecamatan Sesayap Kabupaten Tana Tidung. Analisis yang digunakan yaitu analisis deskriptif, analisis probabilitas, Z-score dan Value At Risk (VaR). Hasil penelitian menunjukkan bahwa sumber–sumber risiko produksi usaha sarang burung walet yang teridentifikasi yaitu perubahan cuaca dan kesalahan tenaga kerja. Sumber risiko terbesar adalah perubahan cuaca pada periode ke II dengan probabilitas sebesar 72% dan dampak yang paling sebesar pada periode ke III sebesar Rp. 2.630.704. Sedangkan sumber risiko kesalahan tenaga kerja pada periode II dengan probabilitas sebesar 68% dan dampak yang paling besar pada periode ke I sebesar Rp. 589.111. Strategi penanganan sumber risiko perubahan cuaca/iklim dengan strategi preventif yaitu membuat ventilasi udara dan menggunakan alat pengukur thermo hygrometer, selanjutnya strategi mitigasi yaitu pengisian air menggunakan wadah bak atau baskom. Sumber risiko kesalahan tenaga kerja menggunakan strategi preventif yaitu memberikan pengetahuan dan keterampilan melalui penyuluhan. Kata Kunci : Sarang Burung Walet, Sumber Risiko, Analisis Risiko, Penanganan Risiko AbstractBuilding a home swallow nest business is not easy, apart from having to really understand how to bring in birds, care for the nest until the harvest stage. This study aims to, 1) determine the sources of production risk and their impact on swallow's nest business; 2) formulating a strategy to overcome the risk of production in the swallow's nest business in Tana Tidung Regency. This research was conducted on 30 swallow nest breeders in Sesayap District, Tana Tidung Regency. The analysis used is descriptive analysis, probability analysis, Z-score and Value At Risk (VaR). The results showed that the identified sources of risk in the production of swallow's nest business were weather changes and labor errors. The biggest risk source is weather changes in the second period with a probability of 72% and the greatest impact in the third period of Rp. 2,630,704. While the source of the risk of labor error in period II with a probability of 68% and the greatest impact in the first period of Rp. 589,111. The strategy for handling the risk source of weather / climate change with a preventive strategy is to make air ventilation and use a thermo hygrometer measuring device, then the mitigation strategy is to fill water using a tub or basin container. The source of the risk of labor error using a preventive strategy, namely providing knowledge and skills through counseling.. Keywords: Swallow's Nest, Risk Sources, Risk Analysis, Risk Management
ANALISIS KEUNTUNGAN DAN RENTABILITAS USAHA SELADA HIDROPONIK DI AZZAHRA HIDROPONIK KOTA TARAKAN
Authors: Sulistyo Anang , Marsela Ana
Published: October 2021

ABSTRAKSetiap usaha bertujuan untuk memperoleh keuntungan, namun seringkali pemilik usaha tidak mengetahui seberapa besar keuntungan dan rentabilitas dari modal yang dikeluarkan. Tujuan   penelitian   ini   adalah   untuk   menganalisis   keuntungan   dan rentabilitas usaha selada hidroponik di Azzahra Hidroponik Kelurahan Juata Laut Kota Tarakan. Penelitian ini dilaksanakan di Azzahra Hidroponik. Pengambilan sampel dilakukan dengan metode purposive sampling dalam hal ini adalah pemilik usaha. Analisis yang digunakan yaitu analisis keuntungan dan analisis rentabilitas. Hasil penelitian menunjukkan bahwa usaha dilakukan pada lahan screenhouse seluas 2x5 meter dengan siklus produksi selada hidroponik dilakukan selama 45 hari dan memperoleh keuntungan sebesar Rp 360.152 dalam satu kali produksi. Rentabilitas keuntungan yang didapatkan oleh Azzahra Hidroponik dalam satu kali produksi yaitu sebesar 69,95% yang artinya setiap modal yang dikeluarkan sebesar Rp. 514.848 akan menghasilkan keuntungan sebesar 69,95%. Hal ini dapat dikatakan bahwa Azzahra Hidroponik telah mampu memanfaatkan modal sendiri secara efisien. Kata Kunci: Hidroponik, Keuntungan, Rentabilitas ABSTRACTEvery business aims to make a profit, but often the business owner does not know how much profit and profitability from the issued capital. The purpose of this study was to analyze the profit and profitability of hydroponic lettuce business in Azzahra Hidroponik Juata Laut Village, Tarakan City. This research was conducted at Azzahra Hidroponik. Sampling was done by purposive sampling method, in this case the business owner. The analysis used is profit analysis and profitability analysis. The results showed that the business was carried out on a screenhouse area of 2x5 meters with a hydroponic lettuce production cycle carried out for 45 days and earned a profit of Rp. 360.152 in one production. Profitability obtained by Azzahra Hidroponik in one time production amounted to 69.95%, which means that each capital issued is Rp. 514.848 will result in a 69.95% profit. It can be said that Azzahra Hydroponics has been able to utilize its own capital efficiently. Keyword: Hydroponic, Benefits, Profitability
MODEL PEMBELAJARAN DIRECT INSTRUCTION DALAM MENINGKATKAN PEMAHAMAN KONSEP DAN HASIL BELAJAR DEFINISI LIMIT BAGI MAHASISWA
Authors: Amintoko Gunanto
Published: October 2021

Pemahaman konsep definisi limit perlu dimiliki oleh mahasiswa yang menempuh matakuliah Kalkulus. Pemahaman konsep mahasiwa yang rendah dapat menyebabkan hasil belajar mahasiswa juga rendah. Salah satu upaya untuk mengatasi permasalahan tersebut yaitu dengan melakukan pembelajaran menggunakan model pembelajaran Direct Instruction. Penelitian dilakukan di Universitas Hasyim Asy’ari Jombang dengan subyek penelitian yaitu mahasiswa Matematika semester IV. Pendekatan penelitian yang digunakan adalah pendekatan kualitatif dengan jenis Penelitian Tindakan Kelas pada matakuliah Kalkulus Peubah Banyak. Hasil menunjukkan bahwa model pembelajaran Direct Instruction dapat meningkatkan pemahaman konsep dan hasil belajar mahasiswa.