bluuebunny/crossref_metadata_2025 huggingface dataset:
Photography Trilateration Indoor Localization with Image Sensor Communication
Authors: Le Nam Tuan , Jang Yeong Min
Published: July 2019

Localization has become an important aspect in a wide range of mobile services with the integration of the Internet of things and service on demand. Numerous mechanisms have been proposed for localization, most of which are based on the estimation of distances. Depending on the channel modeling, each mechanism has its advantages and limitations on deployment, exhibiting different performances in terms of error rates and implementation. With the development of technology, these limitations are rapidly overcome with hybrid systems and enhancement schemes. The successful approach depends on the achievement of a low error rate and its controllability by the integration of deployed products. In this study, we propose and analyze a new distance estimation technique employing photography and image sensor communications, also named optical camera communications (OCC). It represents one of the most important steps in the implemented trilateration localization scheme with real architectures and conditions of deployment which is the second our contribution for this article. With the advantages of the image sensor hardware integration in smart mobile devices, this technology has great potential in localization-based optical wireless communication
Introducing Low-Cost Sensors into the Classroom Settings: Improving the Assessment in Agile Practices with Multimodal Learning Analytics
Authors: Cornide-Reyes Hector , Noël René , Riquelme Fabián , Gajardo Matías , Cechinel Cristian , Mac Lean Roberto , Becerra Carlos , Villarroel Rodolfo , Munoz Roberto
Published: July 2019

Currently, the improvement of core skills appears as one of the most significant educational challenges of this century. However, assessing the development of such skills is still a challenge in real classroom environments. In this context, Multimodal Learning Analysis techniques appear as an attractive alternative to complement the development and evaluation of core skills. This article presents an exploratory study that analyzes the collaboration and communication of students in a Software Engineering course, who perform a learning activity simulating Scrum with Lego® bricks. Data from the Scrum process was captured, and multidirectional microphones were used in the retrospective ceremonies. Social network analysis techniques were applied, and a correlational analysis was carried out with all the registered information. The results obtained allowed the detection of important relationships and characteristics of the collaborative and Non-Collaborative groups, with productivity, effort, and predominant personality styles in the groups. From all the above, we can conclude that the Multimodal Learning Analysis techniques offer considerable feasibilities to support the process of skills development in students.
An Efficient Electrochemical Sensor Driven by Hierarchical Hetero-Nanostructures Consisting of RuO2 Nanorods on WO3 Nanofibers for Detecting Biologically Relevant Molecules
Authors: Lee Hyerim , Kim Yeomin , Yu Areum , Jin Dasol , Jo Ara , Lee Youngmi , Kim Myung Hwa , Lee Chongmok
Published: July 2019

By means of electrospinning with the thermal annealing process, we investigate a highly efficient sensing platform driven by a hierarchical hetero-nanostructure for the sensitive detection of biologically relevant molecules, consisting of single crystalline ruthenium dioxide nanorods (RuO2 NRs) directly grown on the surface of electrospun tungsten trioxide nanofibers (WO3 NFs). Electrochemical measurements reveal the enhanced electron transfer kinetics at the prepared RuO2 NRs-WO3 NFs hetero-nanostructures due to the incorporation of conductive RuO2 NRs nanostructures with a high surface area, resulting in improved relevant electrochemical sensing performances for detecting H2O2 and L-ascorbic acid with high sensitivity.
Context-Aware Winter Sports Based on Multivariate Sequence Learning
Authors: Han Byung-Kil , Ryu Je-Kwang , Kim Seung-Chan
Published: July 2019

In this paper, we present an intelligent system that is capable of estimating the status of a player engaging in winter activities based on the sequence analysis of multivariate time-series sensor signals. Among the winter activities, this paper mainly focuses on downhill winter sports such as alpine skiing and snowboarding. Assuming that the mechanical vibrations generated by physical interaction between the ground surface and ski/snowboard in motion can describe the ground conditions and playing contexts, we utilize inertial and vibration signals to categorize the motion context. For example, the proposed system estimates whether the player is sitting on a ski lift or standing on the escalator, or skiing on wet or snowy ground, etc. To measure the movement of a player during a game or on the move, we develop a custom embedded system comprising a motion sensor and piezo transducer. The captured multivariate sequence signals are then trained in a supervised fashion. We adopt artificial neural network approaches (e.g., 1D convolutional neural network, and gated recurrent neural networks, such as long short-term memory and gated recurrent units). The experimental results validate the feasibility of the proposed approach.
Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks
Authors: Wang Zhengqiang , Huang Kunhao , Yang Xiaona , Wan Xiaoyu , Fan Zifu , Xu Yongjun
Published: July 2019

This paper considers the price-based resource allocation problem for wireless power transfer (WPT)-enabled massive multiple-input multiple-output (MIMO) networks. The power beacon (PB) can transmit energy to the sensor nodes (SNs) by pricing their harvested energy. Then, the SNs transmit their data to the base station (BS) with large scale antennas by the harvesting energy. The interaction between PB and SNs is modeled as a Stackelberg game. The revenue maximization problem of the PB is transformed into the non-convex optimization problem of the transmit power and the harvesting time of the PB by backward induction. Based on the equivalent convex optimization problem, an optimal resource allocation algorithm is proposed to find the optimal price, energy harvesting time, and power allocation for the PB to maximize its revenue. Finally, simulation results show the effectiveness of the proposed algorithm.
A Star Sensor On-Orbit Calibration Method Based on Singular Value Decomposition
Authors: Wu Liang , Xu Qian , Heikkilä Janne , Zhao Zijun , Liu Liwei , Niu Yali
Published: July 2019

The navigation accuracy of a star sensor depends on the estimation accuracy of its optical parameters, and so, the parameters should be updated in real time to obtain the best performance. Current on-orbit calibration methods for star sensors mainly rely on the angular distance between stars, and few studies have been devoted to seeking new calibration references. In this paper, an on-orbit calibration method using singular values as the calibration reference is introduced and studied. Firstly, the camera model of the star sensor is presented. Then, on the basis of the invariance of the singular values under coordinate transformation, an on-orbit calibration method based on the singular-value decomposition (SVD) method is proposed. By means of observability analysis, an optimal model of the star combinations for calibration is explored. According to the physical interpretation of the singular-value decomposition of the star vector matrix, the singular-value selection for calibration is discussed. Finally, to demonstrate the performance of the SVD method, simulation calibrations are conducted by both the SVD method and the conventional angular distance-based method. The results show that the accuracy and convergence speed of both methods are similar; however, the computational cost of the SVD method is heavily reduced. Furthermore, a field experiment is conducted to verify the feasibility of the SVD method. Therefore, the SVD method performs well in the calibration of star sensors, and in particular, it is suitable for star sensors with limited computing resources.
A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment
Authors: García-Garza Marcelo A. , Ahuett-Garza Horacio , Lopez Maria G. , Orta-Castañón Pedro , Kurfess Thomas R. , Urbina Coronado Pedro D. , Güemes-Castorena David , Villa Salvador G. , Salinas Sergio
Published: July 2019

Industry 4.0 is a synonym for the confluence of technologies that allows the integration of information technology, data science, and automated equipment, to produce smart industrial systems. The process of inserting new technologies into current conventional environments involves a wide range of disciplines and approaches. This article presents the process that was followed to identify and upgrade one station in an industrial workshop to make it compatible with the more extensive system as it evolves into the Industry 4.0 environment. An information processing kit was developed to upgrade the equipment from an automated machine to an Industry 4.0 station. The kit includes a structure to support the sensor and the data processing unit; this unit consisted of a minicomputer that records the data, graded the performance of the components, and sent the data to the cloud for storage, reporting, and further analysis. The information processing kit allowed the monitoring of the inspection system and improved the quality and speed of the inspection process.
A Compact Double-Folded Substrate Integrated Waveguide Re-Entrant Cavity for Highly Sensitive Humidity Sensing
Authors: Wei Zhihua , Huang Jie , Li Jing , Li Junshan , Liu Xuyang , Ni Xingsheng
Published: July 2019

In this study, an ultra-compact humidity sensor based on a double-folded substrate integrated waveguide (SIW) re-entrant cavity was proposed and analyzed. By folding a circular re-entrant cavity twice along its two orthogonally symmetric planes, the designed structure achieved a remarkable size reduction (up to 85.9%) in comparison with a conventional TM010-mode circular SIW cavity. The operating principle of the humidity sensor is based on the resonant method, in other words, it utilizes the resonant properties of the sensor as signatures to detect the humidity condition of the ambient environment. To this end, a mathematical model quantitatively relating the resonant frequency of the sensor and the relative humidity (RH) level was established according to the cavity perturbation theory. The sensing performance of the sensor was experimentally validated in a RH range of 30%–80% by using a humidity chamber. The measured absolute sensitivity of the sensor was calculated to be 135.6 kHz/%RH, and the corresponding normalized sensitivity was 0.00627%/%RH. It was demonstrated that our proposed sensor not only has the merits of compact size and high sensitivity, but also benefits from a high Q-factor and ease of fabrication and integration. These advantages make it an excellent candidate for humidity sensing applications in various fields such as the agricultural, pharmaceutical, and food industries.
Development of an EMG-Based Muscle Health Model for Elbow Trauma Patients
Authors: Farago Emma , Chinchalkar Shrikant , Lizotte Daniel J. , Trejos Ana Luisa
Published: July 2019

Wearable robotic braces have the potential to improve rehabilitative therapies for patients suffering from musculoskeletal (MSK) conditions. Ideally, a quantitative assessment of health would be incorporated into rehabilitative devices to monitor patient recovery. The purpose of this work is to develop a model to distinguish between the healthy and injured arms of elbow trauma patients based on electromyography (EMG) data. Surface EMG recordings were collected from the healthy and injured limbs of 30 elbow trauma patients while performing 10 upper-limb motions. Forty-two features and five feature sets were extracted from the data. Feature selection was performed to improve the class separation and to reduce the computational complexity of the feature sets. The following classifiers were tested: linear discriminant analysis (LDA), support vector machine (SVM), and random forest (RF). The classifiers were used to distinguish between two levels of health: healthy and injured (50% baseline accuracy rate). Maximum fractal length (MFL), myopulse percentage rate (MYOP), power spectrum ratio (PSR) and spike shape analysis features were identified as the best features for classifying elbow muscle health. A majority vote of the LDA classification models provided a cross-validation accuracy of 82.1%. The work described in this paper indicates that it is possible to discern between healthy and injured limbs of patients with MSK elbow injuries. Further assessment and optimization could improve the consistency and accuracy of the classification models. This work is the first of its kind to identify EMG metrics for muscle health assessment by wearable rehabilitative devices.
Self-Powered Piezoelectric-Biosensing Textiles for the Physiological Monitoring and Time-Motion Analysis of Individual Sports
Authors: Mao Yupeng , Shen Mailun , Liu Bing , Xing Lili , Chen Song , Xue Xinyu
Published: July 2019

Self-powered piezoelectric-biosensing textiles for the physiological monitoring and time-motion analysis of individual sports have been developed. The material system is composed of tetrapod-shaped ZnO nanowires on common textiles. The mechanism is based on the coupling of enzymatic reaction (LOx and lactate) and piezoelectric effect. After conformably attaching the device to the athlete, the device can monitor in real-time the moving speed, frequency, joint angle, and sweat lactate concentration of the athlete. The whole monitoring/analysis process is battery-free. The motor skills and physiological state of two athletes are investigated using the textiles, and different lactate threshold times and maximum lactate release capacities have been obtained. This technique can help them develop distinct training programs. This research is a new direction for the scientific monitoring of kinematics and may also stimulate the development of self-powered wearable sports-related systems.
How to Select Balance Measures Sensitive to Parkinson’s Disease from Body-Worn Inertial Sensors—Separating the Trees from the Forest
Authors: Hasegawa Naoya , Shah Vrutangkumar V. , Carlson-Kuhta Patricia , Nutt John G. , Horak Fay B. , Mancini Martina
Published: July 2019

This study aimed to determine the most sensitive objective measures of balance dysfunction that differ between people with Parkinson’s Disease (PD) and healthy controls. One-hundred and forty-four people with PD and 79 age-matched healthy controls wore eight inertial sensors while performing tasks to measure five domains of balance: standing posture (Sway), anticipatory postural adjustments (APAs), automatic postural responses (APRs), dynamic posture (Gait) and limits of stability (LOS). To reduce the initial 93 measures, we selected uncorrelated measures that were most sensitive to PD. After applying a threshold on the Standardized Mean Difference between PD and healthy controls, 44 measures remained; and after reducing highly correlated measures, 24 measures remained. The four most sensitive measures were from APAs and Gait domains. The random forest with 10-fold cross-validation on the remaining measures (n = 24) showed an accuracy to separate PD from healthy controls of 82.4%—identical to result for all measures. Measures from the most sensitive domains, APAs and Gait, were significantly correlated with the severity of disease and with patient-related outcomes. This method greatly reduced the objective measures of balance to the most sensitive for PD, while still capturing four of the five domains of balance.
A Phase-Preserving Focusing Technique for TOPS Mode SAR Raw Data Based on Conventional Processing Methods
Authors: Fusco Adele , Pepe Antonio , Berardino Paolo , De Luca Claudio , Buonanno Sabatino , Lanari Riccardo
Published: July 2019

We present a new solution for the phase-preserving focusing of synthetic aperture radar (SAR) raw data acquired through the Terrain Observation with Progressive Scan (TOPS) mode. The proposed algorithm consists of a first interpolation stage of the TOPS raw data, which takes into account the Doppler Centroid frequency variations due to the azimuth antenna steering function, and allows us to unfold the azimuth spectra of the TOPS raw data. Subsequently, the interpolated signals are processed by using conventional phase-preserving SAR focusing methods that exploit frequency domain and spectral analyses algorithms, which are extensively used to efficiently process Stripmap and ScanSAR data. Accordingly, the developed focusing approach is easy to implement. In particular, the presented focusing approach exploits one of the available frequency domain Stripmap processing techniques. The only modification is represented by the inclusion, within the 2D frequency domain focusing step, of a spurious azimuth chirp signal with a properly selected azimuthal rate. This allows us to efficiently carry out the TOPS azimuth focusing through the SPECAN method. Furthermore, an important aspect of this algorithm is the possibility to easily achieve a constant and tunable output azimuth pixel size without any additional computing time; this is a remarkable feature with respect to the full-aperture TOPS-mode algorithms available in the existing literature. Moreover, although tailored on Sentinel-1 (S1) raw data, the proposed algorithm can be easily extended to process data collected through the TOPS mode by different radar sensors. The presented experimental results have been obtained by processing real Sentinel-1 raw data and confirm the effectiveness of the proposed algorithm.
Localization of Transient Events Threatening Pipeline Integrity by Fiber-Optic Distributed Acoustic Sensing
Authors: Hussels Maria-Teresa , Chruscicki Sebastian , Arndt Detlef , Scheider Swen , Prager Jens , Homann Tobias , Habib Abdel Karim
Published: July 2019

Pipe integrity is a central concern regarding technical safety, availability, and environmental compliance of industrial plants and pipelines. A condition monitoring system that detects and localizes threats in pipes prior to occurrence of actual structural failure, e.g., leakages, especially needs to target transient events such as impacts on the pipe wall or pressure waves travelling through the medium. In the present work, it is shown that fiber-optic distributed acoustic sensing (DAS) in conjunction with a suitable application geometry of the optical fiber sensor allows to track propagating acoustic waves in the pipeline wall on a fast time-scale. Therefore, short impacts on the pipe may be localized with high fidelity. Moreover, different acoustic modes are identified, and their respective group velocities are in good agreement with theoretical predications. In another set of experiments modeling realistic damage scenarios, we demonstrate that pressure waves following explosions of different gas mixtures in pipes can be observed. Velocities are verified by local piezoelectric pressure transducers. Due to the fully distributed nature of the fiber-optic sensing system, it is possible to record accelerated motions in detail. Therefore, in addition to detection and localization of threatening events for infrastructure monitoring, DAS may provide a powerful tool to study the development of gas explosions in pipes, e.g., investigation of deflagration-to-detonation-transitions (DDT).
Gas Sensing Properties of Mg-Incorporated Metal–Organic Frameworks
Authors: Lee Jae-Hyoung , Nguyen Thanh-Binh , Nguyen Duy-Khoi , Kim Jae-Hun , Kim Jin-Young , Phan Bach Thang , Kim Sang Sub
Published: July 2019

The gas sensing properties of two novel series of Mg-incorporated metal–organic frameworks (MOFs), termed Mg-MOFs-I and -II, were assessed. The synthesized iso-reticular type Mg-MOFs exhibited good crystallinity, high thermal stability, needle-shape morphology and high surface area (up to 2900 m2·g−1), which are promising for gas sensing applications. Gas-sensing studies of gas sensors fabricated from Mg-MOFs-II revealed better sensing performance, in terms of the sensor dynamics and sensor response, at an optimal operating temperature of 200 °C. The MOF gas sensor with a larger pore size and volume showed shorter response and recovery times, demonstrating the importance of the pore size and volume on the kinetic properties of MOF-based gas sensors. The gas-sensing results obtained in this study highlight the potential of Mg-MOFs gas sensors for the practical monitoring of toxic gases in a range of environments.
A Tunable Optical Bragg Grating Filter Based on the Droplet Sagging Effect on a Superhydrophobic Nanopillar Array
Authors: Zhang Meng , Liu Jiansheng , Cheng Weifeng , Cheng Jiangtao , Zheng Zheng
Published: July 2019

Nanostructures have been widely applied on superhydrophobic surfaces for controlling the wetting states of liquid microdroplets. Many modern optic devices including sensors are also integrated with micro- or nanostructures for function enhancement. However, it is rarely reported that both microfluidics and optics are compatibly integrated in the same nanostructures. In this paper, a novel microfluidic-controlled tunable filter composed of an array of periodic micro/nanopillars on top of a planar waveguide is proposed and numerically simulated, in which the periodic pillars endow both the Bragg grating and the superhydrophobic functions. The tunability of grating is achieved by controlling the sagging depth of a liquid droplet into the periodic pillars. Simulation results show that a narrow bandwidth of 0.4 nm and a wide wavelength tuning range over 25 nm can be achieved by such a microfluidic-based tunable optofluidic waveguide Bragg grating filter. Moreover, this proposed scheme can be easily modified as a refractive index sensor with a sensitivity of 103 nm per refractive index unit.
Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey
Authors: Al-qaness Mohammed A. A. , Abd Elaziz Mohamed , Kim Sunghwan , Ewees Ahmed A. , Abbasi Aaqif Afzaal , Alhaj Yousif A. , Hawbani Ammar
Published: July 2019

Human motion detection and activity recognition are becoming vital for the applications in smart homes. Traditional Human Activity Recognition (HAR) mechanisms use special devices to track human motions, such as cameras (vision-based) and various types of sensors (sensor-based). These mechanisms are applied in different applications, such as home security, Human–Computer Interaction (HCI), gaming, and healthcare. However, traditional HAR methods require heavy installation, and can only work under strict conditions. Recently, wireless signals have been utilized to track human motion and HAR in indoor environments. The motion of an object in the test environment causes fluctuations and changes in the Wi-Fi signal reflections at the receiver, which result in variations in received signals. These fluctuations can be used to track object (i.e., a human) motion in indoor environments. This phenomenon can be improved and leveraged in the future to improve the internet of things (IoT) and smart home devices. The main Wi-Fi sensing methods can be broadly categorized as Received Signal Strength Indicator (RSSI), Wi-Fi radar (by using Software Defined Radio (SDR)) and Channel State Information (CSI). CSI and RSSI can be considered as device-free mechanisms because they do not require cumbersome installation, whereas the Wi-Fi radar mechanism requires special devices (i.e., Universal Software Radio Peripheral (USRP)). Recent studies demonstrate that CSI outperforms RSSI in sensing accuracy due to its stability and rich information. This paper presents a comprehensive survey of recent advances in the CSI-based sensing mechanism and illustrates the drawbacks, discusses challenges, and presents some suggestions for the future of device-free sensing technology.
Optimised Chirped Fibre Bragg Gratings for Detonation Velocity Measurements
Authors: Pooley Josh , Price Ed , Ferguson James W. , Ibsen Morten
Published: July 2019

Over the last decade, the use of chirped fibre Bragg gratings (CFBGs) in detonation velocity experiments has been steadily increasing. In this paper, we show how CFBG design parameters—chirp-rate, reflectivity and apodisation—affect linearity in detonation velocity tests. It is found that the optimal CFBG detonation velocity probe should have a high chirp-rate, a low reflectivity and no apodisation. As a further demonstration of these findings, we measure detonation velocity with a 24 cm optimised CFBG; the longest CFBG test of this kind so far.
Spin Foam Vertex Amplitudes on Quantum Computer—Preliminary Results
Authors: Mielczarek Jakub
Published: July 2019

Vertex amplitudes are elementary contributions to the transition amplitudes in the spin foam models of quantum gravity. The purpose of this article is to make the first step towards computing vertex amplitudes with the use of quantum algorithms. In our studies we are focused on a vertex amplitude of 3+1 D gravity, associated with a pentagram spin network. Furthermore, all spin labels of the spin network are assumed to be equal j = 1 / 2 , which is crucial for the introduction of the intertwiner qubits. A procedure of determining modulus squares of vertex amplitudes on universal quantum computers is proposed. Utility of the approach is tested with the use of: IBM’s ibmqx4 5-qubit quantum computer, simulator of quantum computer provided by the same company and QX quantum computer simulator. Finally, values of the vertex probability are determined employing both the QX and the IBM simulators with 20-qubit quantum register and compared with analytical predictions.
Testing the Spatial Assimilation Model on Black Ethnic Immigrant Locational Outcomes within Mature and Developing Suburbs
Authors: Argeros Grigoris
Published: July 2019

This study investigates black ethnic immigrant group differences in residential outcomes between developing and mature suburbs. It evaluates the extent to which foreign-born black ethnic groups’ socioeconomic status (SES) and acculturation characteristics agree with the outlines of the spatial assimilation model. Binomial logistic regression models are calculated, using data from the 2012–2016 IPUMS ACS, to examine the impact of place of birth/nativity status, SES, acculturation, family/household characteristics, and region on residence in developing versus mature suburbs within U.S. metropolitan areas. The results reveal mixed results for the expectations of the spatial assimilation model. On the one hand, and in agreement with the spatial assimilation model, residence in mature and developing suburbs is a function of increments in household income and educational levels. On the other hand, the multivariate results reveal suburban type residential outcomes that vary by place of birth and nativity status. The effects of acculturation also reveal findings that diverge from the expectations of the spatial assimilation model.
Landscape as Connecting Link of Nature and Culture: Spatial Planning Policy Implications in Greece
Authors: Kyvelou Stella Sofia , Gourgiotis Anestis
Published: July 2019

The research paper investigates the diverse understandings of “landscape”, along with demonstrating the modes of contribution of the European Landscape Convention (ELC) of the Council of Europe (CE) in influencing national spatial planning systems. The paper, interested in considering the efficiency of landscape policy from a territorial perspective, briefly outlines the perception and understanding of landscape as connecting link of nature and culture and conducts a literature review with the aim to support the prospect of a «European model of landscape planning». Lastly, it critically examines the approach to landscape planning and management by the Greek state, revealing the catalytic role of the Council of Europe (CE) in activating the dimension of landscape in Greece, in a mutualistic perspective between environmental policy and spatial planning, mainly through strategic spatial planning tools (i.e., the Regional Spatial Plans, RSPs). The results point out that (a) the ELC gave new impetus to spatial planning in Greece, providing the tool to manage and coordinate landscape policy, positively influencing the evolving spatial planning paradigm; (b) the decentralized approach adopted, identified landscapes of particular value at a regional level, so as to be given priority in terms of the implementation of coordinated governance arrangements and management actions. However, the implementation of landscape policy continues to rely on the underlying spatial planning level (Local Spatial Plans, Special Spatial Plans) and a general conclusion is that both on land and on sea, it depends on the incorporation of evolutionary trends in planning including an evolutionary perspective for landscape itself, viewed as a complex social-ecological system.
Inactivated Rabies Virus-Vectored Immunocontraceptive Vaccine in a Thermo-Responsive Hydrogel Induces High and Persistent Antibodies against Rabies, but Insufficient Antibodies against Gonadotropin-Releasing Hormone for Contraception
Authors: Wu Xianfu , Yang Yong , Kling Chantal , Seigler Laurie , Gallardo-Romero Nadia F. , Martin Brock E. , Smith Todd G. , Olson Victoria A.
Published: July 2019

Rabies is preventable through vaccination, but the need to mount annual canine vaccination campaigns presents major challenges in rabies control and prevention. The development of a rabies vaccine that ensures lifelong immunity and animal population management in one dose could be extremely advantageous. A nonsurgical alternative to spay/neuter is a high priority for animal welfare, but irreversible infertility in one dose has not been achieved. Towards this goal, we developed a rabies virus-vectored immunocontraceptive vaccine ERA-2GnRH, which protected against rabies virus challenge and induced >80% infertility in mice after three doses in a live, liquid-vaccine formulation (Wu et al., 2014). To improve safety and use, we formulated an inactivated vaccine in a thermo-responsive chitosan hydrogel for one-dose delivery and studied the immune responses in mice. The hydrogel did not cause any injection site reactions, and the killed ERA-2GnRH vaccine induced high and persistent rabies virus neutralizing antibodies (rVNA) in mice. The rVNA in the hydrogel group reached an average of 327.40 IU/mL, more than 200 times higher than the liquid vaccine alone. The Gonadotropin-releasing hormone (GnRH) antibodies were also present and lasted longer in the hydrogel group, but did not prevent fertility in mice, reflecting a possible threshold level of GnRH antibodies for contraception. In conclusion, the hydrogel facilitated a high and long-lasting immunity, and ERA-2GnRH is a promising dual vaccine candidate. Future studies will focus on rabies protection in target species and improving the anti-GnRH response.
Authors: Yusuf Ahmad Maulana
Published: July 2019

Air sangat penting bagi kegiatan perindustrian, kebutuhan air diindustri terbagi menjadi dua bagian sebagai saranan produksi dan non-produksi (hygiene sanitasi para pekerja), untuk itu air bersih harus memenuhi kualitas secara fisik, kimia, dan bakteriologia guna untuk memenuhi persyaratan. Kualitas bakteriologi air bersih  di PT. Trisula Textile Industries tidak memenuhi syarat karena terindikasi Escherichia coli 4-46 koloni/100ml sampel melebihi NAB. Untuk itu perlu dilakukan pengolahan air secara lanjutan dengan cara desinfeksi, desinfeksi yang digunakan adalah sinar UV-C panjang gelombang 254 nm karena paling efektif dalam membunuh bakteri Escherichia coli. Perlakuan dalam penelitian ini menggunakan variasi lama waktu paparan 10 detik, 20 detik, dan 30 detik, bertujuan ingin mengetahui perbedaan lama waktu paparan desinfeksi Sinar UV-C pada air bersih terhadap penurunan jumlah Escherichia coli. Jenis penelitian yang digunakan yaitu pretest-postest dengan menggunakan sampel air bersih non-produksi dari semua populasi air bersih non-produksi PT.  Trisula Textile Industries . Teknik pengambilan sampel yang dilakukan yaitu purposive sampling. Berdasarkan hasil penelitian paparan sinar UV-C dengan lama waktu 10 detik mampu menurunkan 77,17% Escherichia coli , 20 detik mengalami menurunkan 82,36 %, dan 30 detik mengalami penurunan 98,69%. Hasil optimal yang dicapai mengalami penurunan 98,69% Escherichia coli dengan paparan 30 detik.
EDUKASI GIZI DENGAN PERMAINAN KOMUNIKATA TERHADAP PENGETAHUAN DAN SIKAP KONSUMSI SAYUR BUAH, JAJANAN DAN SARAPAN
Authors: Amanah Ninda Risti , Suprihartono Fred Agung , Fauziyah Rr Nur , Par'i Holil M. , Syahidatunnisa Ulfah Sofindra
Published: July 2019

Consumption problems that often occur in school children are children less to consume  fruits and vegetables, often skip breakfast and consume unhealthy snacks. The purpose of this study was to determine the effect of education using Komunkata games on the knowledge and attitudes of consumption of fruits, snacks and breakfast in 4th grade students. The research design used was quasi experiment with pre and post test control group design models with purposive sampling samples. The sample amounted to 17 people for each group. Data analysis in this study used the t-dependent test and independent t-test with alternative Wilcoxon and Mann Whitney tests. The statistical test results of knowledge obtained p = 0.031 (p 5 0.05) which means that there are differences of nutritional education on knowledge using media communication games for elementary school students, for attitudes obtained p value of 0.322 (p 5 0.05) which means there is no difference of nutrition education on attitudes using media communication games to elementary school students. For schools there is a need for repeated education using communication media from the teacher's side to students interrupted by teaching and learning activities about the importance of consuming vegetables and fruit, snacks and breakfast.

Key words: Nutrition education, komunikata , knowledge, attitude, consumption of fruit vegetables, snacks, breakfast
Authors: Pradana Alvi Adi , Pujiono Pujiono , Yulianto Bambang , Ruhmawati Tati
Published: July 2019

Domestic Liquid Waste originating from bathroom waste water (black water and gray water), ablution water and waste water used for washing food equipment. The results of laboratory tests of chemical domestic wastewater quality carried the ammonia (NH3-N) parameter obtained is 56.20 mg / l, this result exceeds the standard quality of ammonia content of 10 mg / l in accordance with Minister of Environment and Forestry Regulation Number 68 of 2016 about Water Quality Standards Domestic waste. This study aims to decide the efficiency and percentage of the average reduction in ammonia levels.The type of this research is all experiments with the design of the pretest - postest with control research, where there are 3 treatment differences in contact time of activated carbon 20 minutes, 40 minutes and 60 minutes with repetitions of 6 times. The population in this study is as long as domestic liquid waste and the sample is domestic liquid waste from effluent. Based on the results of the study, the average percentage decrease in ammonia levels in the treatment of contact time of 20 minutes was 49.87%, the 40-minute treatment was 63.28% and the 60-minute treatment was 75.46%. For the time that is efficient in reducing ammonia levels in domestic wastewater using the adsorption method using activated carbon media is 60 minutes contact time because it has a reduction percentage of up to 85.52%.
O compromisso institucional da universidade com a formação de professores
Authors: Orrú Sílvia Ester
Published: July 2019

O presente texto vem discutir a questão da didática, ou melhor, da aula no ensino superior num contexto em que a mesma se apresenta como parte importante do processo de mudança de paradigma onde se encontram as universidades tendo em vista o seu compromisso institucional com a formação de professores
Brainstorming como recurso docente para desarrollar competencia investigadora
Authors: Legaz Pérez Isabel , Gutiérrez González Laura , Luna Maldonado Aurelio
Published: July 2019

El actual sistema universitario está centrado en el aprendizaje de competencias y para su adquisición se deben incorporar metodologías docentes adecuadas a los diferentes perfiles académicos. Brainstorming, es una herramienta que puede impulsar en el alumno creatividad, curiosidad y trabajo en equipo. El objetivo del trabajo fue incorporar y adecuar la técnica de Brainstorming en el aula de alumnos universitarios de ciencias experimentales para comprobar su utilidad en la adquisición de dichas competencias evaluando la percepción y el grado de satisfacción del alumnado. Un total de 204 alumnos participaron en este estudio y los datos sobre conocimiento, percepción y grado de satisfacción global fueron analizados mediante un cuestionario constituido por 18 preguntas. Nuestros resultados muestran que el 65.7% de los alumnos conocían la existencia de esta técnica y su fundamento. La técnica se desarrolló y organizó por el equipo docente de manera adecuada y los alumnos se sintieron integrados en todo momento (80.4%). El beneficio de su uso en el aula fue declarado en un 84.3%. Esta técnica permitió incrementar la creatividad (66.7%) y potenciar la motivación e interés (68.6%) por los contenidos docentes, considerándola útil para el aprendizaje (78.4%). En conclusión, nuestros resultados demuestran la utilidad de esta técnica para la adquisición de las competencias generales, además de potenciar la creatividad y favorecer la participación en aula y generar y fomentar el pensamiento crítico en el estudiante promoviendo su autoaprendizaje.
La identidad en riesgo: orientaciones socioeducativas
Authors: Martínez-Otero Pérez Valentín
Published: July 2019

Este artículo destaca algunos aspectos teórico-prácticos en torno a la identidad. Se revisa, por ejemplo, el concepto de identidad y se defiende su condición unitaria y compleja, esto es, “unidiversa”. Tras señalar diversas fuerzas que operan en contra de esta compleja realidad psíquica, se muestra que la erosión de la identidad básica se produce tanto en la escuela como en la familia, al igual que en otros ámbitos, como el sociopolítico. Posteriormente, se insiste en la capacidad estructurante del mundo emocional sobre la identidad y se proporcionan claves de alcance pedagógico para su fortalecimiento.

Palabras clave: identidad “unidiversa”; riesgo; claves pedagógicas; orientaciones socioeducativas.
Superando las barreras físicas del aula: recursos naturales y TIC
Authors: Arboleya Elena , Dopico Eduardo
Published: July 2019

Incorporar al ámbito educativo los recursos naturales del entorno de vida y los dispositivos móviles presentes en el contexto cotidiano de los y las estudiantes a través de experiencias didácticas activas y participativas, favorece la motivación del alumnado. Estás dinámicas educativas facilitan aprendizajes significativos junto con actitudes y valores que contribuyen al desarrollo sostenible. Este trabajo presenta evidencias pedagógicas sobre como una actividad complementaria desarrollada en los espacios naturales de los entornos inmediatos de estudiantes de Educación Secundaria Obligatoria de dos centros educativos de Asturias (España), junto a la incorporación de los teléfonos móviles inteligentes, empleados como recurso didáctico, les proporcionan ganancias de aprendizaje y fomentan su conocimiento y el interés por la protección de la flora y fauna de los ecosistemas en los que viven. Aunque no es muy popular la utilización del teléfono móvil en estas etapas educativas, la disponibilidad de uso y la facilidad de aplicación permitió recoger información medioambiental directamente por los y las estudiantes y geolocalizar las especies autóctonas y alóctonas que pueblan los entornos naturales inmediatos del alumnado de ambos centros. El objetivo pedagógico perseguido fue vincular a estos jóvenes con la sostenibilidad ambiental de su entorno de vida.

Palabras clave: herramientas didácticas; dispositivos digitales; actividades complementarias, entorno natural; currículo flexible.
Trabajo y Salud Laboral del personal docente
Authors: Hernández Deysi
Published: July 2019

Recibido: 09 de abril de 2019Aprobado: 20 de mayo de 2019Las instituciones educativas constituyen un escenario importante para la promoción de la salud de docentes, estudiantes, e incluso, las familias; para utilizarlo eficazmente, en particular los(as) docentes, es necesario conocer sus condiciones de trabajo y salud. El objetivo principal del presente estudio fue estudiar algunas de las condiciones de trabajo y salud del personal docente, apoyado en autores como Unesco (2008), Caldera, Esteve y Roel (2012), OMS (2008), entre otros. Contenido bajo un estudio descriptivo interpretativo, bibliográfico- analítico, que utilizó metodología cualitativa. De esta forma, es necesario replantear nuevos esquemas administrativos, donde se generen espacios de descanso y reposición de la capacidad laboral. Asimismo, la salud y productividad son un componente importante; Por lo que surgió la promoción de la salud ocupacional como un concepto amplio y positivo de salud, que implica defender, elevar la calidad de vida y la dignidad de las personas que trabajan en el ámbito educativo.
Nesting behaviour and ecology of the White-browed Fantail Flycatcher (Rhipidura aureola) in Sri Lanka
Authors: Dissanayake Duminda S. B. , Thewarage Lasanthika D. , Mohan Mane Akshaya
Published: July 2019

The White-browed Fantail Flycatcher (Rhipidura aureola) is a widely distributed species in tropical regions of the Indian subcontinent and in Southeast Asia. We determined the breeding biology and nest site characteristics of R. aureola in Sri Lanka during 2012 to 2017. All the nests observed were small cup-shaped and without a ‘tail’ extending below the nest base. Both male and female R. aureola built their nests within 9–13 days with an average mean external diameter, mean internal diameter, and mean depth of, respectively, 6.4 ± 0.32, 5.6 ± 0.22, and 2.9 ± 0.21 cm. The R. aureola we found used various habitats such as home gardens, forest boundaries, sanctuaries, man-made tanks/water bodies, stream banks, tea plantations and road edges to build their nests. We did not find any change in clutch size (2–3 eggs) with different elevation gradients. The eggs were oval-shaped with the ground colour of pale warm yellow-brown to pink and lots of spots or blotches in dark gray-brown. More than 60% of nests were built in a high to medium range of visibility to predators, without a specific location or tree preference, which resulted in nest failure due to predation by domestic cats or birds of prey. Also, we found nest failure due to washing away by abundant rains. Detailed studies on ecological and environmental parameters with respect to nesting or breeding success will help to better understand the species.
Diversity and ecological diagnosis of dragonflies of high-mountain temporary ponds in the Akfadou massif forest (Algeria)
Authors: Chelli Abdel Madjid , MOULAÏ Riadh
Published: July 2019

An Odonata study was carried out during six successive months at five high-mountain temporary ponds located in the Akfadou massif forest, northeast Algeria. These wetlands are virtually unexplored; some of these places are unknown to the general public. However, some of them appear to face numerous threats. The results obtained by this study gave us an idea of the odonatological settlement in this area. With 18 species of Odonata, this territory contains about 1/3 of the Algerian Odonata fauna, of which nine species reproduce in this forest massif. These study stations share in common three species, namely: Ischnura graellsii, Anax imperator, and Orthetrum cancellatum. These three species are omnipresent in more than 75% of the surveys and are distributed in a consistent way in various biotopes. The first species (I. graellsii) together with Lestes virens and Chalcolestes viridis dominate in numbers, accounting for more than half of the total numbers recorded. The Shannon-Weaver index and Equitability index applied to odonatological fauna reveal that Agoulmime Ikher (AI) and Agoulmime Tala Guizane (AT) ponds are the best-structured and most stable in terms of stands in this massif.
Effects of field margins and other uncultivated fields on Orthoptera assemblages in the mountainous paddy field area of northeast Japan
Authors: Takeuchi Masatoshi , Irie Teruaki
Published: July 2019

To understand how farmlands help maintain biodiversity, we investigated the relationship between habitat heterogeneity and Orthoptera community composition on multiple spatial scales. First, we determined the impact of 12 environmental variables on the Orthoptera community diversity by sampling 37 quadrats in uncultivated fields over a broad spatial scale. Canonical correspondence analysis (CCA) demonstrated that environmental parameters influenced species composition. The first two canonical axes were associated with forest cover, grass (including harvested dried grass in some cases), bare or paddy fields, and plants with tall stems. Secondly, we conducted a local-scale survey of Orthoptera assemblages in an operational farm unit consisting of paddy fields, fallow fields, marginal grass fields, and secondary forests. Eleven Orthoptera species (46%) were found exclusively on specific vegetation types. Thirdly, we carried out a habitat-scale survey to elucidate the correspondence between consecutive spatial changes in vegetation and Orthoptera community composition in a paddy field and surrounding marginal fields. Even within narrower ranges, the compositional habitat heterogeneity induced changes in the dominant Orthoptera species composition. These results indicate that a high degree of habitat segregation occurs among Orthoptera species in field margins and in uncultivated fields, and that farmland management significantly affects spatial distribution of Orthoptera.
Insectivory characteristics of the Japanese marten (Martes melampus): a qualitative review
Authors: Hisano Masumi
Published: July 2019

Insects are rich in protein and thus are important substitute foods for many species of generalist feeders. This study reviews insectivory characteristics of the Japanese marten (Martes melampus) based on current literature. Across the 16 locations (14 studies) in the Japanese archipelago, a total of 80 different insects (including those only identified at genus, family, or order level) were listed as marten food, 26 of which were identified at the species level. The consumed insects were categorised by their locomotion types, and the Japanese martens exploited not only grounddwelling species, but also arboreal, flying, and underground-dwelling insects, taking advantage of their arboreality and ability of agile pursuit predation. Notably, immobile insects such as egg mass of Mantodea spp, as well as pupa/larvae of Vespula flaviceps and Polistes spp. from wasp nests were consumed by the Japanese marten in multiple study areas. This review shows dietary generalism (specifically ‘food exploitation generalism’) of the Japanese marten in terms of non-nutritive properties (i.e., locomotion ability of prey).