bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of an Inset Micro Permanent Magnet Synchronous Motor Using Soft Magnetic Composite Material
Authors: Pang Da-Chen , Shi Zhen-Jia , Xie Pei-Xuan , Huang Hua-Chih , Bui Gia-Thinh
Published: August 2020

This paper presents the world’s smallest inset permanent magnet synchronous motor (PMSM) with a soft magnetic composite (SMC) core, providing ease of manufacturing for micromachine applications without silicon steel laminations. The inset motor can offer an additional reluctance torque and higher torque density with a lower usage amount of permanent magnet. A 15 mm diameter inset motor was developed with the thickness of a tile-type permanent magnet which is limited to 1 mm by the manufacturer. The motor was designed with high torque density and low torque ripple by varying the interpole iron width for the rotor. Two inset motors were made using both SMC and silicon steel materials for comparison. The performance of the SMC motor was inferior to the silicon steel motor, but it still meets the specifications of the commercial market. If the thickness of the tile-type permanent magnet is further reduced, the micro inset motor with a SMC core can be easily mass-manufactured using powder sintering.
Expression of VHb Improved Lipid Production in Rhodosporidium toruloides
Authors: Wang Shuang , Kamal Rasool , Zhang Yue , Zhou Renhui , Lv Liting , Huang Qitian , Qian Siriguleng , Zhang Sufang , Zhao Zongbao Kent
Published: August 2020

The oleaginous yeast Rhodosporidium toruloides has emerged as a robust host for production of microbial lipids as alternative biofuel feedstocks. Oxygen supply is a limiting factor for microbial lipid production, as lipid biosynthesis is highly oxygen-demanding. Vitreoscilla hemoglobin (VHb) is a protein capable of promoting oxygen delivery for anabolism. In this study, we developed R. toruloides with VHb expression for improved lipid production. The VHb expression cassette was integrated into the R. toruloides chromosome via the Agrobacterium-mediated transformation. In shake flask cultures, the engineered strain 4#-13 produced 34% more lipids than the parental strain did. Results obtained under reduced aeration conditions in 3 L bioreactor showed that lipid titer and lipid yield of the engineered strain 4#-13 were 116% and 71%, respectively, higher than those of the parental strain. Under high cell density culture conditions, the engineered strain 4#-13 grew faster and produced 72% more lipids. Our results demonstrated that the VHb gene is functional in R. toruloides for promoting lipid production. The strains described here may be further engineered by integrating extra genetic parts to attain robust producers for more valuable products. This should improve the economics of microbial lipids to facilitate a sustainable production of biodiesel and other lipid-based biofuels.
Comparison of the Effects of Industrial Demand Side Management and Other Flexibilities on the Performance of the Energy System
Authors: Nebel Arjuna , Krüger Christine , Janßen Tomke , Saurat Mathieu , Kiefer Sebastian , Arnold Karin
Published: August 2020

In order to ensure security of supply in a future energy system with a high share of volatile electricity generation, flexibility technologies are needed. Industrial demand-side management ranks as one of the most efficient flexibility options. This paper analyses the effect of the integration of industrial demand-side management through the flexibilisation of aluminium electrolysis and other flexibilities of the electricity system and adjacent sectors. The additional flexibility options include electricity storage, heat storage in district heating networks, controlled charging of electric vehicles, and buffer storage in hydrogen electrolysis. The utilisation of the flexibilities is modelled in different settings with an increasing share of renewable energies, applying a dispatch model. This paper compares which contributions the different flexibilities can make to emission reduction, avoidance of curtailment, and reduction of fuel and CO2 costs, and which circumstances contribute to a decrease or increase of overall emissions with additional flexibilities. The analysis stresses the rising importance of flexibilities in an energy system based on increasing shares of renewable electricity generation, and shows that flexibilities are generally suited to reduce carbon emissions. It is presented that the relative contribution towards the reduction of curtailment and costs of flexibilisation of aluminium electrolysis are high, whereby the absolute effect is small compared to the other options due to the limited number of available processes.
Transnational Practices and Emotional Belonging among Early 20th-Century Greek Migrants in the United States
Authors: Dounia Margarita
Published: August 2020

This article aims at studying transnational families dispersed among Greece and the United States in the first half of the twentieth century. It examines the ways in which transnationalism was a common way of being, acting and feeling strongly associated with the available “technologies” of those times, namely photographs, letters and private financial and judicial records. The focus is purposefully micro-historical, analyzing the private collections of two families in a small mountainous village community of the Greek south. Its purpose is to manifest the ways in which transnational families communicated, exchanged items, thoughts and emotions, fulfilled economic obligations and marital aspirations and, overall, created “proxy” transnational spaces. At the same time, shifting the focus to individuals, it aims at presenting the diversities of transnationalism as a lived experience, as unfolded in the personal records of migrants and their kin. Further, it explores transnationalism as a holistic, multi-faceted and all-encompassing ground, with its dynamics influencing not only migrants, but also their families and societies back in the homeland.
Associations between Parental and Child Screen Time and Quality of the Home Environment: A Preliminary Investigation
Authors: Attai Parveen , Szabat Jacqueline , Anzman-Frasca Stephanie , Kong Kai Ling
Published: August 2020

(1) Background: The recommendation for screen use among preschool-aged children is ≤ 1 h per day. We aimed to assess the relationship between parental and child screen use and home environment characteristics. (2) Methods: Thirty-six 3–to-4-year-old healthy children were recruited. Parents reported their own and their child’s weekday and weekend daytime screen use. The child’s home environment and parent-child interactions were assessed using the Infant-Toddler Home Observation for Measurement of the Environment (IT-HOME). Analyses were run to identify relationships between parental and child screen use and the six subscales of the IT-HOME: Responsivity, Acceptance, Organization, Learning Materials, Involvement and Variety. (3) Results: Parents’ weekend screen use was correlated to parental responsivity and variety of people and events at home. These relationships remained significant after adjusting for maternal education and number of children at home (Responsivity β = 7.30 (95% CI: 1.75, 12.86), p = 0.012) and (Variety β = −2.45, (95% CI: −4.58, −0.31), p = 0.026). There was a trend level association between low child’s weekend screen use and high presence of learning materials. Other aspects of screen time were not associated with home environment characteristics. (4) Conclusions: Higher parental screen use predicted lower variety and greater parental responsivity, the latter of which was an unexpected finding. Administering the IT-HOME alongside a screen use questionnaire may offer the opportunity for a more comprehensive representation of home environments in today’s society. Future research can also clarify facets of parental screen use (e.g., co-viewing, timing) that are more vs. less likely to impact children.
Intrinsic Effect of Pyridine-N-Position on Structural Properties of Cu-Based Low-Dimensional Coordination Frameworks
Authors: Walczak Anna , Kurpik Gracjan , Stefankiewicz Artur R.
Published: August 2020

Metal-organic assemblies have received significant attention for catalytic and other applications, including gas and energy storage, due to their porosity and thermal/chemical stability. Here, we report the synthesis and physicochemical characterization of three metallosupramolecular assemblies consisting of isomeric ambidentate pyridyl-β-diketonate ligands L1–L3 and Cu(II) metal ions. It has been demonstrated that the topology and dimensionality of generated supramolecular aggregates depend on the location of the pyridine nitrogen donor atom in L1–L3. This is seen in characterization of two distinct 2D polymeric assemblies, i.e., [Cu(L1)2]n and [Cu(L2)2]n, in which both β-diketonate and pyridine groups are coordinated to the Cu(II) center, as well as in characterization of the mononuclear 1D complex Cu(L3)2, in which the central atom is bound only by two β-diketonate units.
Epigenetic Mechanisms Underlying Adult Post Stroke Neurogenesis
Authors: Liu Xianshuang , Fan Baoyan , Chopp Michael , Zhang Zhenggang
Published: August 2020

Stroke remains the leading cause of adult disability. Post-stroke neurogenesis contributes to functional recovery. As an intrinsic neurorestorative process, it is important to elucidate the molecular mechanism underlying stroke-induced neurogenesis and to develop therapies designed specifically to augment neurogenesis. Epigenetic mechanisms include DNA methylation, histone modification and its mediation by microRNAs and long-non-coding RNAs. In this review, we highlight how epigenetic factors including DNA methylation, histone modification, microRNAs and long-non-coding RNAs mediate stroke-induced neurogenesis including neural stem cell self-renewal and cell fate determination. We also summarize therapies targeting these mechanisms in the treatment of stroke.
Supramolecular Chirality in Azobenzene-Containing Polymer System: Traditional Postpolymerization Self-Assembly Versus In Situ Supramolecular Self-Assembly Strategy
Authors: Cheng Xiaoxiao , Miao Tengfei , Qian Yilin , Zhang Zhengbiao , Zhang Wei , Zhu Xiulin
Published: August 2020

Recently, the design of novel supramolecular chiral materials has received a great deal of attention due to rapid developments in the fields of supramolecular chemistry and molecular self-assembly. Supramolecular chirality has been widely introduced to polymers containing photoresponsive azobenzene groups. On the one hand, supramolecular chiral structures of azobenzene-containing polymers (Azo-polymers) can be produced by nonsymmetric arrangement of Azo units through noncovalent interactions. On the other hand, the reversibility of the photoisomerization also allows for the control of the supramolecular organization of the Azo moieties within polymer structures. The construction of supramolecular chirality in Azo-polymeric self-assembled system is highly important for further developments in this field from both academic and practical points of view. The postpolymerization self-assembly strategy is one of the traditional strategies for mainly constructing supramolecular chirality in Azo-polymers. The in situ supramolecular self-assembly mediated by polymerization-induced self-assembly (PISA) is a facile one-pot approach for the construction of well-defined supramolecular chirality during polymerization process. In this review, we focus on a discussion of supramolecular chirality of Azo-polymer systems constructed by traditional postpolymerization self-assembly and PISA-mediated in situ supramolecular self-assembly. Furthermore, we will also summarize the basic concepts, seminal studies, recent trends, and perspectives in the constructions and applications of supramolecular chirality based on Azo-polymers with the hope to advance the development of supramolecular chirality in chemistry.
The Corrosion Features of Q235B Steel under Immersion Test and Electrochemical Measurements in Desulfurization Solution
Authors: Gong Peng , Zhang Guangxu , Chen Jian
Published: August 2020

With the continuous tightening marine diesel engines emission standards, removing sulfur oxides (SOX) by sodium hydroxide solution absorption is a highly efficiency and economic method, which has been a hot area of research. The ensuing desulfurization solution is a new corrosive system, the aim of this paper is to ascertain the corrosion feature of Q235B steel in desulfurization solution, which lays a theoretical foundation for industrialization. For this purpose, mass loss, electrochemical techniques and surface analyses were applied. The results of mass loss highlight a reduction in the corrosion rate with 35 days of immersion. Higher exposure time increased the compactness of the corrosion product layer and changed phase composition. These conclusions are supported by surface analyses, such as X-ray diffraction and scanning electron microscope. However, electrochemical results showed that the polarization resistance Rp was fluctuant. Both of Rp and charge transfer resistance Rt reach a maximum after immersing 21 days. In addition, although the sediments attached to the steel surface could inhibit corrosion, pitting corrosion aggravated by hydrolyzation of FeSO4 should be given more attention.
Comparative Compressibility of Smectite Group under Anhydrous and Hydrous Environments
Authors: Lee Yongmoon , Kim Pyosang , Kim Hyeonsu , Seoung Donghoon
Published: August 2020

High-pressure synchrotron X-ray powder diffraction studies of smectite group minerals (beidellite, montmorillonite, and nontronite) reveal comparative volumetric changes in the presence of different fluids, as pressure transmitting media (PTM) of silicone oil and distilled water for anhydrous and hydrous environments at room temperature. Using silicone oil PTM, all minerals show gradual contraction of unit-cell volumes and atomistic interplane distances. They, however, show abrupt collapse near 1.0 GPa under distilled water conditions due to hydrostatic to quasi-hydrostatic environmental changes of water PTM around samples concomitant with the transition from liquid to ICE-VI and ICE-VII. The degrees of volume contractions of beidellite, montmorillonite, and nontronite up to ca. 3 GPa are ca. 6.6%, 8.9%, and 7.5% with bulk moduli of ca. 38(1) GPa, 31(2) GPa, and 26(1) GPa under silicone oil pressure, whereas 13(1) GPa, 13(2) GPa, and 17(2) GPa, and 17(1) GPa, 20(1) GPa, and 21(1) GPa under hydrostatic and quasi-hydrostatic environments before and after 1.50 GPa, respectively.
Modelling and Experimental Investigation on the Settling Rate of Kaolinite Particles in Non-Ideal Sedimentation Stage under Constant Gravity
Authors: Wang Jianfu , Kang Xin , Peng Chunyin
Published: August 2020

We compared the catalytic effects of two polymers (soluble starch and apple pectin) on the flocculation of kaolinite suspension. Moreover, the relationship between the zeta potential value and the time when kaolin particle sedimentation occurred was verified, and the mechanism of flocculation was analyzed. Additionally, a constitutive model was proposed to simulate the non-ideal sedimentation of clay particles in an aqueous system under constant gravity. This model not only considers the inhomogeneity of the solute but also simulates the change in clay concentration with time during the deposition process. This model proposes a decay constant (α) and sedimentation coefficient (s). The model can also be used to calculate the instantaneous sedimentation rate of the clay suspensions at any time and any depth for the settling cylinder. These sedimentary characteristics were simulated by adopting the established deposition model. The results show that the model is capable of predicting the time required for the complete sedimentation of particles in the aqueous system, suggesting the feasibility of engineering wastewater treatment, site dredging, etc.
The Effect of Vinegar Supplementation on High-Intensity Cycling Performance within Recreationally Trained Individuals
Authors: Farney Tyler M. , Kowalsky Robert J. , Salazar Dassy A. , Fick Alyssa N. , Nelson Arnold G. , Hearon Christopher M.
Published: August 2020

Background and objectives: To investigate the effects of vinegar ingestion upon high-intensity cycle performance in recreationally trained individuals. Materials and methods: Twenty-two participants consumed one of the following in a randomized order on four separate visits: (1) 29 mL of vinegar along with 451 mL of water, (2) 39 g of sucrose along with 441 mL of water, (3) 29 mL of vinegar and 39 g of sucrose along with 412 mL of water, or (4) 480 mL of water alone. For each of the experimental testing sessions, all participants completed in order: (1) high-intensity cycle test 1, (2) fatiguing cycle test, (3) high-intensity cycle test 2, (4) supplement consumption, (5) 90 min rest period, and (6) high-intensity cycle test 3. Total time to exhaustion (TTE) and average heart rate (HR) for each set of sprints was used in analysis. Results: There was no supplement by time interaction or significant main treatment effect observed (p > 0.05) for either TTE or HR. However, there was a main time effect observed, with TTE (p = 0.0001) being lower for cycle test 2 than both cycle test 1 and cycle test 3, and cycle test 3 being lower than cycle test 1. HR (p = 0.0001) was lower for cycle test 3 than both cycle test 1 and cycle test 2, but HR for cycle test 1 did not differ significantly from HR for cycle test 2. Conclusions: The addition of vinegar or sucrose alone, or in combination, was ineffective in improving cycle sprinting TTE when performing three cycle tests.
Photonic Voltage Transducer with Lightning Impulse Protection for Distributed Monitoring of MV Networks
Authors: Fusiek Grzegorz , Niewczas Pawel
Published: August 2020

The design, construction and characterization of a photonic voltage transducer with a lightning impulse protection for distributed measurements on medium voltage (MV) networks (11 kV) was presented in this paper. The sensor prototype, comprising a combination of a piezoelectric transducer and a fibre Bragg grating (FBG) as a core optical sensing element, and a dedicated lightning protection device comprising a set of reactive components, was evaluated through laboratory testing and its performance was assessed based on the accuracy requirements specified by the relevant industry standards. It was demonstrated that the sensor has the potential to meet the accuracy requirements for the 3P protection and 0.2 metering classes specified by the IEC 60044-7. The device successfully underwent lightning impulse withstand tests, satisfying the safety requirements applicable to 11 kV networks as specified by the standard. The usage of an FBG as a photonic sensing component enables the multiplexing of multiple such sensors to provide the distributed measurement of voltage along a power network.
Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use
Authors: Romine William L. , Schroeder Noah L. , Graft Josephine , Yang Fan , Sadeghi Reza , Zabihimayvan Mahdieh , Kadariya Dipesh , Banerjee Tanvi
Published: August 2020

Automated tracking of physical fitness has sparked a health revolution by allowing individuals to track their own physical activity and health in real time. This concept is beginning to be applied to tracking of cognitive load. It is well known that activity in the brain can be measured through changes in the body’s physiology, but current real-time measures tend to be unimodal and invasive. We therefore propose the concept of a wearable educational fitness (EduFit) tracker. We use machine learning with physiological data to understand how to develop a wearable device that tracks cognitive load accurately in real time. In an initial study, we found that body temperature, skin conductance, and heart rate were able to distinguish between (i) a problem solving activity (high cognitive load), (ii) a leisure activity (moderate cognitive load), and (iii) daydreaming (low cognitive load) with high accuracy in the test dataset. In a second study, we found that these physiological features can be used to predict accurately user-reported mental focus in the test dataset, even when relatively small numbers of training data were used. We explain how these findings inform the development and implementation of a wearable device for temporal tracking and logging a user’s learning activities and cognitive load.
Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning
Authors: Chen Guangda , Yao Shunyi , Ma Jun , Pan Lifan , Chen Yu’an , Xu Pei , Ji Jianmin , Chen Xiaoping
Published: August 2020

It is challenging to avoid obstacles safely and efficiently for multiple robots of different shapes in distributed and communication-free scenarios, where robots do not communicate with each other and only sense other robots’ positions and obstacles around them. Most existing multi-robot collision avoidance systems either require communication between robots or require expensive movement data of other robots, like velocities, accelerations and paths. In this paper, we propose a map-based deep reinforcement learning approach for multi-robot collision avoidance in a distributed and communication-free environment. We use the egocentric local grid map of a robot to represent the environmental information around it including its shape and observable appearances of other robots and obstacles, which can be easily generated by using multiple sensors or sensor fusion. Then we apply the distributed proximal policy optimization (DPPO) algorithm to train a convolutional neural network that directly maps three frames of egocentric local grid maps and the robot’s relative local goal positions into low-level robot control commands. Compared to other methods, the map-based approach is more robust to noisy sensor data, does not require robots’ movement data and considers sizes and shapes of related robots, which make it to be more efficient and easier to be deployed to real robots. We first train the neural network in a specified simulator of multiple mobile robots using DPPO, where a multi-stage curriculum learning strategy for multiple scenarios is used to improve the performance. Then we deploy the trained model to real robots to perform collision avoidance in their navigation without tedious parameter tuning. We evaluate the approach with multiple scenarios both in the simulator and on four differential-drive mobile robots in the real world. Both qualitative and quantitative experiments show that our approach is efficient and outperforms existing DRL-based approaches in many indicators. We also conduct ablation studies showing the positive effects of using egocentric grid maps and multi-stage curriculum learning.
Universal Triboelectric Nanogenerator Simulation Based on Dynamic Finite Element Method Model
Authors: Chen Jinkai , Wang Junchao , Xuan Weipeng , Dong Shurong , Luo Jikui
Published: August 2020

The lack of a universal simulation method for triboelectric nanogenerator (TENG) makes the device design and optimization difficult before experiment, which protracts the research and development process and hinders the landing of practical TENG applications. The existing electrostatic induction models for TENGs have limitations in simulating TENGs with complex geometries and their dynamic behaviors under practical movements due to the topology change issues. Here, a dynamic finite element method (FEM) model is proposed. The introduction of air buffer layers and the moving mesh method eliminates the topology change issues during practical movement and allows simulation of dynamic and time-varying behaviors of TENGs with complex 2D/3D geometries. Systematic investigations are carried out to optimize the air buffer thickness and mesh densities, and the optimized results show excellent consistency with the experimental data and results based on other existing methods. It also shows that a 3D disk-type rotating TENG can be simulated using the model, clearly demonstrating the capability and superiority of the dynamic FEM model. Moreover, the dynamic FEM model is used to optimize the shape of the tribo-material, which is used as a preliminary example to demonstrate the possibility of designing a TENG-based sensor.
Sensory and Physicochemical Evaluation of Acacia and Linden Honey Adulterated with Sugar Syrup
Authors: Bodor Zsanett , Kovacs Zoltan , Rashed Mahmoud Said , Kókai Zoltán , Dalmadi István , Benedek Csilla
Published: August 2020

Honey is produced by honeybees and is used as a food and medical product. Adulteration of honey has been a problem for several years now because of the relatively high price of honey on the market according to its valuable composition. The aim of our study is to determine the physicochemical properties of authentic Hungarian linden and acacia honeys (pure samples or manipulated ones blended with sugar syrup) as well as commercially available blends of European Union (EU) non-European Union (non-EU) honeys. Authentic linden and acacia were blended with sugar syrup at 10%, 20% and 50% concentration levels, and physicochemical properties were determined according to the methods of the International Honey Commission. Our objectives also included testing of the performance of electronic sensory techniques (electronic tongue (ET) and electronic nose (EN)) in the detection of adulteration, and the results are compared to the sensory profile analysis. The results provide good average recognition and prediction abilities for the classification of adulterated and authentic honeys (>90% for ET and higher than >80 for EN). Misclassifications were found only in the case of honey with 10% added sugar syrup. The methods were also able to reveal adulteration of independently predicted samples.
Evaluation of the Efficiency of Detection and Capture of Manganese in Aqueous Solutions of FeCeOx Nanocomposites Doped with Nb2O5
Authors: Kozlovskiy Artem , Egizbek Kamila , Zdorovets Maxim V. , Ibragimova Milana , Shumskaya Alena , Rogachev Alexandr A. , Ignatovich Zhanna V. , Kadyrzhanov Kayrat
Published: August 2020

: The main purpose of this work is to study the effectiveness of using FeCeOx nanocomposites doped with Nb2O5 for the purification of aqueous solutions from manganese. X-ray diffraction, energy–dispersive analysis, scanning electron microscopy, vibrational magnetic spectroscopy, and mössbauer spectroscopy were used as research methods. It is shown that an increase in the dopant concentration leads to the transformation of the shape of nanoparticles from spherical to cubic and rhombic, followed by an increase in the size of the nanoparticles. The spherical shape of the nanoparticles is characteristic of a structure consisting of a mixture of two phases of hematite (Fe2O3) and cerium oxide CeO2. The cubic shape of nanoparticles is typical for spinel-type FeNbO4 structures, the phase contribution of which increases with increasing dopant concentration. It is shown that doping leads not only to a decrease in the concentration of manganese in model solutions, but also to an increase in the efficiency of adsorption from 11% to 75%.
Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning
Authors: Ota Keisuke , Nishiura Yousuke , Ishihara Saki , Adachi Hihoko , Yamamoto Takehisa , Hamano Takayuki
Published: August 2020

Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we sought to supplement the daily arteriovenous fistula consultation for hemodialysis patients by recording the sounds made by the arteriovenous fistula and evaluating the sounds using deep learning methods to provide an objective index. We sampled arteriovenous fistula auscultation sounds (192 kHz, 24 bits) recorded over 1 min from 20 patients. We also extracted arteriovenous fistula sounds for each heartbeat without environmental sound by using a convolutional neural network (CNN) model, which was made by comparing these sound patterns with 5000 environmental sounds. The extracted single-heartbeat arteriovenous fistula sounds were sent to a spectrogram and scored using a CNN learning model with bidirectional long short-term memory, in which the degree of arteriovenous fistula stenosis was assigned to one of five sound types (i.e., normal, hard, high, intermittent, and whistling). After 100 training epochs, the method exhibited an accuracy rate of 70–93%. According to the receiver operating characteristic (ROC) curve, the area under the ROC curves (AUC) was 0.75–0.92. The analysis of arteriovenous fistula sound using deep learning has the potential to be used as an objective index in daily medical care.
Crowd Counting with Semantic Scene Segmentation in Helicopter Footage
Authors: Csönde Gergely , Sekimoto Yoshihide , Kashiyama Takehiro
Published: August 2020

Continually improving crowd counting neural networks have been developed in recent years. The accuracy of these networks has reached such high levels that further improvement is becoming very difficult. However, this high accuracy lacks deeper semantic information, such as social roles (e.g., student, company worker, or police officer) or location-based roles (e.g., pedestrian, tenant, or construction worker). Some of these can be learned from the same set of features as the human nature of an entity, whereas others require wider contextual information from the human surroundings. The primary end-goal of developing recognition software is to involve them in autonomous decision-making systems. Therefore, it must be foolproof, which is, it must have good semantic understanding of the input. In this study, we focus on counting pedestrians in helicopter footage and introduce a dataset created from helicopter videos for this purpose. We use semantic segmentation to extract the required additional contextual information from the surroundings of an entity. We demonstrate that it is possible to increase the pedestrian counting accuracy in this manner. Furthermore, we show that crowd counting and semantic segmentation can be simultaneously achieved, with comparable or even improved accuracy, by using the same crowd counting neural network for both tasks through hard parameter sharing. The presented method is generic and it can be applied to arbitrary crowd density estimation methods. A link to the dataset is available at the end of the paper.
Virtual and Real-Time Synchronous Interaction for Playing Table Tennis with Holograms in Mixed Reality
Authors: Wang Bin , Zhang Ruiqi , Xi Chong , Sun Jing , Yang Xiaochun
Published: August 2020

Real-time and accurate interaction technology is required to realize new wearable Mixed Reality (MR) solutions. At present, the mainstream interaction method relies on gesture detection technology, which has two shortcomings: 1. the hand feature points may easily be obstructed by obstacles and cannot be detected and 2. the kinds of gesture that can be recognized are limited. Hence, it cannot support complex interactions well. Moreover, the traditional collision detection algorithm has difficulty detecting the collision between real and virtual objects under motion. Because location information of real objects needs updating in real time, it is easy to lose collision detection under high speeds. In the implementation of our system, Mixed Reality Table Tennis System, we propose novel methods which overcome these shortcomings. Instead of using gesture detection technology, we use a locator as the main input device and build a data exchange channel for the devices, so that the system can update the motion state of the racket in real time. Besides, we adjust the thickness of the collider dynamically to solve the collision detection problem and calculate rebound results responding to the motion state of the racket and the ball. Experimental results show that our method avoids losing collision detection and improves the authenticity of simulation. It keeps good interaction in real time.
Ekstrak Metanol Daun Srikaya (Annona squamosa L.) Sebagai Insektisida Nabati Terhadap Mortalitas Hama Ulat Grayak (Spodoptera litura)
Authors: Ente Zelita Fitri , Rumape Opir , Duengo Suleman
Published: August 2020

Penelitian ini bertujuan untuk mengetahui kandungan senyawa metabolit sekunder pada ekstrak daun srikaya (Annona squamosa L) sebagai insektisida nabati yang dapat menyebabkan mortalitas terhadap hama ulat grayak (Spodoptera litura). Metode ekstraksi yang digunakan adalah ekstraksi maserasi dengan pelarut metanol dan difraksinasi  dengan pelarut n-heksan dan etil asetat. Dilakukan uji fitokimia dan uji mortalitas fraksi-fraksi aktif pada hama ulat grayak. Uji fitokimia dari ekstrak kental metanol daun srikaya memberikan hasil positif untuk empat senyawa metabolit sekunder antara lain flavonoid, alkaloid, terpenoid dan saponin, sedangkan untuk steroid memberikan hasil negatif. Uji mortalitas terhadap fraksi dari ekstrak daun srikaya antara lain fraksi metanol, etil asetat dan n-heksan dilakukan pengamatan selama 1×24 jam, ditemukan fraksi metanol pada variasi konsentrasi 1%, 2,5%, 5%, 7,5%, dan 10% menunjukkan tingkat mortalitas hama sebesar 67%, 78%, 78%, 78% dan 100%, sehingga pada konsentrasi 10% memberikan pengaruh mortalitas paling tinggi sebesar 100%. Adapun untuk fraksi etil asetat pada variasi konsentrasi 1%, 2,5%, 5%, 7,5%, dan 10% menunjukkan tingkat mortalitas hama sebesar 44%, 56%, 67%, 67% dan 78%, sehingga pada konsentrasi 10% memberikan pengaruh mortalitas tertinggi sebesar 78%. Untuk fraksi n-heksan pada variasi konsentrasi 1%, 2,5%, 5%, 7,5%, dan 10% menunjukkan tingkat mortalitas hama sebesar 22%, 44%, 56%, 67% dan 78%, sehingga pada konsentrasi 10% memberikan pengaruh mortalitas tertinggi sebesar 78%.
Pemanfaatan Gulma Siam (Chromolaena odarata L.) Sebagai Adsorben Logam Timbal
Authors: Mohamad Erni , Oputu Intan J. , Tangio Julhim S.
Published: August 2020

This study aims to utilize (Chromolaena odorata L) as a metal adsorbent. The methods used to make activated charcoal are dehydration, carbonization, and activation. The activated carbon is then characterized to obtain activated charcoal that can be applied, then optimized. The results of activated carbon characterization obtained have reached the activated carbon quality requirements based on the Indonesian Industry Standard (SII No. 0258-88). Based on the adsorption test, the optimum pH of Pb2+ (Pb (NO3) 2 (in distilled water) Chromolaena odorata L charcoal activated by NaOH 0.2 M under varying pH (2,3,4,5,6) is at pH 5 with 69.00% absorption. The optimum contact time required for Pb ion adsorption is 4 hours at variation (1-5 hours) with 70.19% absorption. The optimum concentration at variation (concentration 20; 40; 60; 80; 100 ppm) on Pb ion adsorption is 100 ppm with 76.15% absorption. The optimum heating time is a variation of 1.5; 2; 2.5; and 3 hours of Pb ion adsorption is one hour 30 minutes with an absorption of 65.95%. Based on the optimization results, the activated carbon from the Chromolaena odorata L can be used as an adsorption material against the contamination of lead heavy metals (Pb).
Diagnosis on the marketing and technological strategies used by MSMEs
Authors: Armando-Rodríguez Sergio , García-Bahena María Gabriela , Hernández-Vélez Mónica , Waldo-Caamaño José David
Published: August 2020

Commercial and technological dynamics have brought great changes to companies, and MSMEs are no exception; currently, the market has more information about the diversity of satisfiers it can choose to cover its needs, about the companies that produce and market them, and about the different actions they carry out and implement; however, in this scenario, MSMEs are at a disadvantage, mainly due to the lack of resources and experience. In an increasingly competitive commercial world, a constant concern of MSMEs is the form and means that are adequate, sufficient and necessary to ensure that the services and products they offer reach consumers. The new trends in the business world make it necessary to understand and adapt to two factors: a globalized and therefore technologized world; and the change of paradigms in how to perceive the recipient of services and products: client, consumer, user... human being? The present work aims to identify and diagnose the most pressing shortcomings in the areas of technology and marketing presented by companies, through a quantitative research applied to 137 MSMEs in the main municipalities which have formal links with the Technological University of Nezahualcóyotl, supported by a questionnaire for data collection. The results obtained will serve as a basis for proposing marketing and commercial communication strategies, making use of the TIICC; for the case of a generic form, that adapted to the reality and specific needs, each company could carry out, and consequently resolve part of their needs, increase their sales and develop their business.
Diseño de interfaz gráfica basada en Big Data para cálculo de sistemas de tubería de Clase III
Authors: Razón-González Juan Pablo , Gallardo-Alvarez Dennise Ivonne , García-Guzmán José Miguel , Belman Israel Durán
Published: August 2020

The current requirements of the industry present challenges that must faced daily in the different productive sectors. The use of the cutting-edge technology and the efficient handling of large volumes of information allow the development of new computational tools that improve accuracy and optimize calculation’s times in pipe design. In this work the application is presented of the Piping Systems Analysis Program (PSAP), same that was developed as a graphical interface in the computer language MATLAB®; this computational application determines the size of the commercial pipe based on the pressure difference, elevation, water temperature and volume flow as critical design parameters. The algorithm of solution uses skills of Big Data for the precise handling of large volumes of information, getting accurate results at reduced times without compromising the reliability of pipe systems; this way optimizes the design process compared to traditional analytical methods.
Empleo de microdrones para la reconstrucción tridimensional del terreno
Authors: Ramírez-Torres José Gabriel , Larrañaga-Cepeda Ander
Published: August 2020

This document proposes an image processing scheme that allows the construction of a digital terrain model using technologically affordable elements: a personal computer and a low-budget micro UAV. Another important issue of this proposal is that the construction of the model does not require georeferenced information or sophisticated sensors, since the whole process is based on the processing of digital images taken with a monocular camera embedded in the microdron. The digital terrain model, in addition to being built incrementally (at the same time the area is overflight), is of good accuracy, with estimation errors of less than 4%, so the model could be used for trajectory planning and autonomous navigation of the micro UAV. The purpose of this work is to provide to a large number of users, both private and academic, a robust and affordable tool for the development of new applications based on the use of UAV.
Relación entre depresión y promedio escolar en estudiantes de la Facultad de Psicología y Terapia de la Comunicación Humana, UJED, campus Durango
Authors: Herrera-Vargas Isela Vanessa , Ríos-Valles José Alejandro , Pérez-González Ivonne , Vázquez-Ríos Elda Raquel
Published: August 2020

Objective: to identify the relationship between depression and the school average in students of the Faculty of Psychology and Therapy of Human Communication, UJED. Depression was assessed by the Beck Test to 110 students. It is a quantitative, exploratory, non-experimental, observational and cross-sectional study, with descriptive and correlational statistical analysis, with non-probabilistic sampling for convenience. Chronbach's alpha of the analyzed data was 0.89. 50% of the students presented some level of depression, with a significant correlation between depression and the school average with r: -. 247 and p: .009. Contribution: the results indicate that, in a very weak, but statistically significant way, the higher the school average, the lower the level of depression among students. The high frequency of the incidence of depression in the sample studied plus the significant correlation, suggest the need to implement depression care programs concurrent to the educational process.
Los adolescentes y los problemas emocionales en su aprendizaje
Authors: Ponce-Contreras María Guadalupe , Covarrubias-Solís Irma Fabiola , Pérez-Briones Nancy Griselda , Tello-García María Ascención
Published: August 2020

When teenagers are going through this stage they often have emotional problems, which, if they are taken care of on time and with the appropriate support of parents, can easily be overcome and not trigger problems in other areas of life such as academic performance. The object of study is to know the relationship between emotional and behavioral problems and the support they receive from their parents with learning. The final test was applied to 80 subjects of second grade of secondary school. An instrument was used with four nominal variables and 60 simple variables integrated in 3 sections of 20 variables per axis, which were: emotional problems, family support and learning. The data were processed in the statistical programs, and the statistical levels of frequencies and percentages, factorial integrational, relational level were obtained. Main results: when there is support, help and cooperation from parents to their children, they have a better academic performance and accept themselves, so they do not present emotional problems and when parents are involved in the integral development of their children , these do not present emotional problems and dedication to their studies is facilitated. The main conclusions were that the student who accepts himself as a person, if he receives the necessary support from his parents, attains the necessary knowledge and has a good academic performance.
Pedagogía crítica, la visión para favorecer la autonomía en el alumno
Authors: Chávez-López María Margarita , Magdaleno-Castro Benigno
Published: August 2020

The multiple difficulties that are experienced within the classroom are a reflection of the reality of students, teachers and the school community. There is much talk about the problems of the students, their behaviors, the poor consolidation of learning, lack of participation, their vulnerability to the context in which they live, however rarely does the teacher assume any of these as their own and seeks to solve them through their practice. The present is the follow-up of a research teacher whose purpose was the transformation of his practice to favor critical thinking in elementary students and teachers in training. For this, the socio-critical paradigm was used under an action research approach, the actions carried out were based on critical pedagogy. It was found that critical pedagogy improves the teaching practice, promoting the transformation of students' reality through the development of critical thinking, favoring autonomy in students.
Hololens el nuevo perfil de realidad aumentada para la competencia educativa
Authors: Rodríguez-Campos Juan Carlos , Rico-Chagollán Mariana
Published: August 2020

Currently, in education there are challenges that place the teacher in the need to acquire new knowledge for the development of new skills and didactic skills that can foster attitudes in students with a positive assessment of divergent, creative and critical thinking, as well as work Multidisciplinary, orderly and responsible, in adapting to change. The augmented reality Hololens is the direct or indirect vision of a real-world physical environment. If it is a technology that helps enrich the vision of our real environment complete with information from the digital world, it allows to create images and animations with total interactivity with the user in real time within a three-dimensional environment. The research focuses on the use of a new technology that allows to display three-dimensional images and interact with large volumes of data, which can be implemented in the different sector including education, due to the advancement of this technology and thanks to mobile devices It has greater processing capacity and includes digital cameras, state-of-the-art sensors and global location systems, possible development of more precise systems with augmented reality, since this technology allows something that until recently was unthinkable, mixing digital information with situations real three-dimensional, having an impact on the new academic profiles of higher level students.
Software ERP
Authors: Huerta-Mascotte Eduardo , Rico-Moreno José Luis , Aguirre-Puente José Alfredo , Mata-Chávez Ruth Ivonne
Published: August 2020

This article presents information on the implementation of a customized ERP system. Based on the fact that a company already has a functioning ERP system to which it is intended to add a new module, in order to rescue certain resources, to avoid the generation of repeated data and obtain a more robust and secure system. This software was made under the technology of C #, as programming language and SQL Server, as a database server. establishing efficiency and agility in the payroll generation process.
Implementación de la Realidad Aumentada en un sistema opto mecatrónico de grabado láser
Authors: Blanco-Miranda Alan David , García-Cervantes Heraclio
Published: August 2020

The main objective of this work is to develop an interactive mobile application for monitoring, description and training in the operation of a laser engraving machine using augmented reality technology. The CAD design of the machine is used, generating a visualization of each of the elements that make it up with a description of its main characteristics. Also, an option is included where you can observe the 3D animation of the engraving process. All of the above is generated through the use of open source software (Unity, Vuforia and C #) thus creating a practical option for training in the handling of this type of machinery. This type of technology can be implemented in different educational and industrial environments. For the convenience of use, the generated application has a user-friendly virtual environment and is developed for the main digital platforms (Android, iOS, Windows).
Prototipo: Sistema de geolocalización para vehículos de carga mediante Smartphone
Authors: Mendoza-Zuñiga Armando , Arcadio-Dionicio Pedro , Morales-Benítez Isabel , Perez-Vazquez Jenner
Published: August 2020

This project proposes an alternative location for freight vehicles. It is proposed to use a technique that consists of the reuse of GPS technology integrated in a mobile device, which will have the advantage of using phones with Android operating system - the most common in the market - with prices within reach of the different segments of customers. Helping to reduce losses in different PYMES is one of the objectives of the project, as well as saving on expenses, to improve the level of status that each of the companies has in relation to the commercial market. From this, it is intended that the service to be developed adapts to the different business contexts, to comply with the resolution of the problems of lost vehicles with merchandise found in the potential market. Regarding the development of the system, it was decided that Open Source technology, better known as open source languages, will be used, which will reduce the cost of the service. This project applies applied research and will be developed using the waterfall methodology.