bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Step Predictions for Adaptive Sampling using Proximal ADMM
Authors: Le Viet-Anh , Nguyen Linh , Nghiem Truong X.
Published: July 2021

The paper presents a novel approach by using multi- step predictions to address the adaptive sampling problem in a resources and obstacles constrained mobile robotic sensor network to efficiently monitor environmental spatial phenomena. It is first proposed to employ the Gaussian process (GP) to represent the spatial field, which can then be used to predict the field at unmeasured locations. The adaptive sampling problem aims to drive the mobile sensors to optimally navigate the environment where the sensors adaptively take measurements of the spatial phenomena at each sampling step. To this end, a conditional entropy based optimality criterion is proposed, which aims to minimize prediction uncertainty of the GP model. By predicting possible measurements the mobile sensors potentially take in a horizon of multiple sampling steps ahead and exploiting the chain rule of the conditional entropy, a multi-step predictions based adaptive sampling optimization problem is formulated. The objective of the optimization problem is to find the optimal sampling paths for the mobile sensors in multiple sampling steps ahead, which then provides their benefits in terms of better navigation, deployment and data collection with more informative sensor readings. However, the optimization problem is nonconvex, complex, constrained and mixed-integer. Therefore, it is proposed to employ the proximal alternating direction method of multipliers algorithm to efficiently solve the problem. More importantly, the solution obtained by the proposed approach is theoretically guaranteed to be converged to a stationary value. Effectiveness of the proposed algorithm was extensively validated by the real- world dataset, where the obtained results are highly promising.
THz Transmission meets Untrusted UAV-Relaying; Trajectory and Communication Co-design for Secrecy Energy Efficiency Maximization
Authors: Tatar Mamaghani Milad , Hong Yi
Published: July 2021

Unmanned aerial vehicles (UAVs) and Terahertz (THz) technology are envisioned to play paramount roles in next-generation wireless communications. Hence, this paper presents a novel secure UAV-assisted mobile relaying system operating at THz bands for data acquisition from multiple ground user equipments towards a destination. We assume that the UAV-mounted relay may act, besides providing relaying services, as a potential adversary called the untrusted UAV relay. To safeguard end-to-end communications, we present a secure two-phase transmission strategy with cooperative jamming. Then, we formulate an optimization problem in terms of a new measure – secrecy energy efficiency (SEE), defined as the ratio of achievable average secrecy rate to average system power consumption, which enables us to obtain the best possible security level while taking UAV's inherent flight power limitation into account. This optimization problem leads to a joint design of key system parameters, including UAV's trajectory and velocity, communication scheduling, and power allocations. Since the formulated problem is a mixed-integer nonconvex optimization and computationally intractable, we propose alternative algorithms to solve it efficiently via greedy/sequential block coordinated descent, successive convex approximation, and non-linear fractional programming techniques. Numerical results demonstrate significant SEE performance improvement of our designs when compared to other known benchmarks.
Continuous Verification of Network Security Compliance
Authors: Lorenz Claas , Clemens Vera , Schrötter Max , Schnor Bettina
Published: July 2021

Continuous verification of network security compliance is an accepted need. Especially, the analysis of stateful packet filters plays a central role for network security in practice. But the few existing tools which support the analysis of stateful packet filters are based on general applicable formal methods like Satifiability Modulo Theories (SMT) or theorem prover and show runtimes in the order of minutes to hours making them unsuitable for continuous compliance verification.
In this work, we address these challenges and present the concept of state shell interweaving to transform a stateful firewall rule set into a stateless rule set. This allows us to reuse any fast domain specific engine from the field of data plane verification tools leveraging smart, very fast, and domain specialized data structures and algorithms including Header Space Analysis (HSA). First, we introduce the formal language FPL that enables a high-level human-understandable specification of the desired state of network security. Second, we demonstrate the instantiation of a compliance process using a verification framework that analyzes the configuration of complex networks and devices - including stateful firewalls - for compliance with FPL policies. Our evaluation results show the scalability of the presented approach for the well known Internet2 and Stanford benchmarks as well as for large firewall rule sets where it outscales state-of-the-art tools by a factor of over 41.
Continuous Verification of Network Security Compliance
Authors: Lorenz Claas , Clemens Vera , Schrötter Max , Schnor Bettina
Published: July 2021

Continuous verification of network security compliance is an accepted need. Especially, the analysis of stateful packet filters plays a central role for network security in practice. But the few existing tools which support the analysis of stateful packet filters show runtimes in the order of minutes to hours making them unsuitable for continuous compliance verification.
In this work, we address these challenges and present a solution which is based on the application of formal methods. First, we introduce the formal language FPL that enables a high-level human-understandable specification of the desired state of network security. Second, we demonstrate the instantiation of a compliance process using a verification framework that analyzes the configuration of complex networks and devices - including stateful firewalls - for compliance with FPL policies. Our evaluation results show the scalability of the presented approach for the well known Internet2 and Stanford benchmarks as well as for large firewall rule sets where it outscales state-of-the-art tools by a factor of over 41.
ChickTrack - A Quantitative Tracking Tool for Measuring Chicken Activity
Authors: Neethirajan Suresh
Published: July 2021

The
automatic detection, counting and tracking of individual and flocked chickens
in the poultry industry is of paramount to enhance farming productivity and animal
welfare. Due to methodological difficulties, such as the complex background of
images, varying lighting conditions, and occlusions from e.g., feeding
stations, water nipple stations and barriers in the chicken rearing production floor,
it is a challenging task to automatically recognize and track birds using
computer software. Here, a deep learning model based on You Only Look Once
(Yolov5) is proposed for detecting domesticated chickens from videos with
varying complex backgrounds. A multiscale feature is being adapted to the Yolov5
network for mapping modules in the counting and tracking of the trajectories of
the chickens. The Yolov5 network was trained and tested on our dataset which resulted
in an enhanced tracking precision accuracy. Using Kalman Filter, the proposed
model was able to track multiple chickens simultaneously with the focus to
associate individual chickens across the frames of the video for real time and
online applications. By being able to
detect the chickens amid diverse background interference and counting them
precisely along with tracking the movement and measuring their travelled path
and direction, the proposed model provides excellent performance for on-farm
applications. Artificial intelligence enabled automatic measurements of chicken
behavior on-farm using cameras offers continuous monitoring of the chicken's
ability to perch, walk, interact with other birds and the farm environment, as
well as the assessment of dustbathing, thigmotaxis, and foraging frequency,
which are important indicators for their ability to express natural behaviors. This study highlights the potential of
automated monitoring of poultry through the usage of ChickTrack model as a
digital tool in enabling science-based animal husbandry practices and thereby
promote positive welfare for chickens in animal farming.
DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner For Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors In Daily Living
Authors: Hossain Md Sanzid Bin , Dranetz Joseph , Choi Hwan , Guo Zhishan
Published: July 2021

Measurement of human body movement is an essential step in biomechanical analysis. The current standard for human motion capture systems uses infrared cameras to track reflective markers placed on the subject. While these systems can accurately track joint kinematics, the analyses are spatially limited to the lab environment. Though Inertial Measurement Unit (IMU) can eliminate the spatial limitations of the motion capture system, those systems are impractical for use in daily living due to the need for many sensors, typically one per body segment. Due to the need for practical and accurate estimation of joint kinematics, this study implements a reduced number of IMU sensors and employs machine learning algorithm to map sensor data to joint angles. Our developed algorithm estimates hip, knee, and ankle angles in the sagittal plane using two shoe-mounted IMU sensors in different practical walking conditions: treadmill, level overground, stair, and slope conditions. Specifically, we proposed five deep learning networks that use combinations of Convolutional Neural Networks (CNN) and Gated Recurrent Unit (GRU) based Recurrent Neural Networks (RNN) as base learners for our framework. Using those five baseline models, we proposed a novel framework, DeepBBWAE-Net, that implements ensemble techniques such as bagging, boosting, and weighted averaging to improve kinematic predictions. DeepBBWAE-Net predicts joint kinematics for the three joint angles under all the walking conditions with a Root Mean Square Error (RMSE) 6.93-29.0% lower than base models individually. This is the first study that uses a reduced number of IMU sensors to estimate kinematics in multiple walking environments.
Hardware Implementation and Performance Analysis of Improved Sphere Decoder in Spatially Correlated Massive MIMO Channels
Authors: Vordonis Dimitris , Paliouras Vassilis
Published: July 2021

Detection for high-dimensional multiple-input multiple-output (MIMO) and massive MIMO (MMIMO) systems is an active field of research in wireless communications. While most works consider spatially uncorrelated channels, practical MMIMO channels are correlated. This paper investigates the impact of correlation on Sphere Decoder (SD), for both single-user (SU) and multi-user (MU) scenarios. The complexity of SD is mainly determined by the initial radius (IR) method and the number of visited nodes during detection. This paper employs an efficient IR and proposes a new metric constraint in the tree searching algorithm, that significantly decrease the number of visited nodes and render SD feasible for large-scale systems. In addition, an introduced hardware implementation featured with a one-node-per-cycle architecture, minimizes the latency of the detection process. Trade-offs between bit error rate (BER) performance and computational complexity are presented. The trade-offs are achieved by either modifying the backtracking mechanism or limiting the number of radius updates. Simulation results prove that the proposed optimizations are effective for both correlated and uncorrelated channels, regardless of the level of noise. The decoding gain of SD compared to the low-complexity linear detectors (LD) is higher in the presence of correlation than in the uncorrelated case. However, as expected, spatial correlation adversely affects the performance and the complexity of SD. Simulation results reported here also confirm that correlation at the side equipped with more antennas is less detrimental. Hardware implementation aspects are examined for both a Virtex-7 FPGA device and a 28-nm ASIC technology.
3D printing of composite reflectors for enhanced light collection in scintillation detectors
Authors: Sokolov Petr , Komissarenko Dmitrii , Dosovitskiy Georgy , Korzhik Mikhail
Published: July 2021

The present study deals with the fabrication of light-reflecting
materials used in pixelated scintillator detectors. For the first time, the
reflecting surfaces for pixels of different sizes (from 0.8 to 3.2 mm) were
obtained via a low-cost DLP 3D
printing technique. The material for
the reflectors was the new composite of transparent ultraviolet light-cured
resin and TiO2 as a light-scattering filler. It was observed
that TiO2 showed better performance compare to other pigments such
as BaSO4, hBN or cubic zirconia. The object formation rate was about
1 cm per hour with the possibility to produce several parts simultaneously that
simplifies the wrapping procedure. It was found that the regular grooves
pattern of the fabricated parts (staircase effect) could increase a light
collection from a scintillator. The reflective properties of such surfaces were
comparable to conventional reflection coating (e.g., Teflon wrapping).

Presented at the 2019 IEEE NSS & MIC conference, Manchester, UK. 14 pages, 12 figures, 1 table. Journal reference: Optical Materials V. 108, October 2020, p. 110393.
PENGARUH EKSTRAK ASHITABA TERHADAP KADAR SERUM GLUTAMIC OXALOACETIC TRANSAMINASE DAN SERUM GLUTAMIC PYRUVIC TRANSAMINASE PADA TIKUS DENGAN LUKA BAKAR
Authors: Johan Andrew - , Oktavia Regina , Batubara Lusiana , Ngestiningsih Dwi , Jusup Innawati
Published: July 2021

Background: Serum glutamic oxaloacetic transaminase (SGOT) and serum glutamic pyruvic transaminase (SGPT) are increased in tissue damage. Ashitaba contains many compounds that can reduce serum SGOT and SGPT levels.

Objective: This study was proposed to prove that giving Ashitaba extract could reduce serum SGOT and SGPT levels in rats exposed to burn injury.

Methods: This study used a posttest only control group design with 20 rats as samples. All research samples were treated with second-degree burns and were divided into 2 different groups, the treatment group (given Ashitaba extract 300 mg /kg BW) and the control group. The blood serum was analyzed for SGOT and SGPT test on the 2nd, 8th, and 14th days. For statistical analysis, the Wilcoxon test used to analyze the levels of serum SGOT and SGPT.

Results: There was no significant difference in serum SGOT and SGPT levels between the control and treatment groups on the 2nd, 8th, and 14th days

Conclusion: Ashitaba extract could not reduce serum SGOT and SGPT levels in rats exposed to burn injury.
PENGARUH PEMBEBANAN TERHADAP EFISIENSI DAN SUSUT UMUR TRANSFORMATOR STEP UP 6kV / 70kV DI PLTU SUMBAWA BARAT UNIT 1 DAN 2 2×7 MW PT.PLN (PERSERO) UPK TAMBORA
Authors: Bayu Tiasmoro Ilham , Wirentake  , Ali Topan Paris
Published: July 2021

This study aims to determine the magnitude of the fluctuating load factor on the efficiency and loss of life of the 6kV/70kV transformer and to determine the optimal load in order to obtain the best efficiency and minimize loss of life. The method used in this study is a quantitative research method. The results showed that the highest efficiency of PLTU Unit 1 was at 93.3% with an output power of 5.8 MW and an input power of 6.21 MW, while the lowest was at 83.9% with an output power of 5.5 MW and a power 6.55 MW input. The highest efficiency of PLTU Unit 2 is at 95.7% with an output power of 5.5 MW and an input power of 5.75 MW, while the lowest is at 61.03% with an output power of 3.3 MW and an input power of 5.41. MW. Meanwhile, the transformer life for Unit 1 PLTU Sumbawa Barat is 0.0469 hours/day with an average load of 5.8 MW, while for Unit 2 it is 0.0311 hours/day with an average load of 5.2 MW. The size of the loss of life of the transformer depends on the given load, the greater the load, the greater the loss of life. In this case, the load for Unit 1 is higher than for Unit 2, so it can be seen that the life loss of the Unit 2 transformer is smaller. While the optimal load on the PLTU is in the position of 80-85% of its capacity. The results of this study are expected to be a material consideration for the Sumbawa power plant to better distribute and optimize the load so that there is no imbalance between the transformer capacity and the power produced and perform routine transformer maintenance to reduce losses that occur.
PENGARUH PUTARAN PULLY (RPM) DAN TEKANAN TERHADAP PRODUKTIVITAS MESIN PEMECAH BIJI KEMIRI
Authors: Anggara Mietra , Jibril Aburijal
Published: July 2021

Candlenut is a spice that is used as an ingredient in the manufacturing process of the food and cosmetic industry, the obstacles faced in breaking the candlenut shell are that the time and energy required is still too large so that the splitting of the candlenut shell is less efficient and there are still many farmers who still use traditional candlenut crackers. with a driving force in the form of human power. In addition, the results of the quality of the candlenut cracking are not good because there are still many broken hazelnut seeds after the process of breaking the candlenut shell. These constraints add to the time, cost and effort in the process of breaking candlenut manually. From some of the constraints that have been described, there is an idea to conduct research to find out how the rotation of the candlenut crusher influences the pressure according to the needs and optimizes the rotation variation of the candlenut crusher to produce whole candlenuts. The research method used is rotational variation (10 RPM, 20 RPM, and 27 RPM) to pressure 24.928 /????2, 21.952 /????2 and 19.286 /????2 with three treatments and each treatment combination was repeated three times. The parameters of this research are the percentage of whole, split, crushed and unbroken candlenut. The results of this study indicate that variations in rotation and pressure affect the percentage yield of candlenut seeds. The average value of the right rotation to break candlenut seeds with a beating pully A is 20 rpm with a pressure of 24.928 N/m2 to get an average of 60% intact, 20% halved, 0% crushed and 20% unbroken. At the right rotation of the pulley B, which is at 20 Rpm with a pressure of 21.952 N/m2, the average value of breaking is 60%, intact is 60%, split is 30%, destroyed is 0% and does not break is 10%. Meanwhile, at a pressure of 19.286 N/m2 for a rotation of 20 Rpm, the average value of broken, 50% intact, 0% halved, 20% crushed and 30% unbroken.
PENGARUH KARAKTERISTIK HABITAT MANGROVE TERHADAP KEPADATAN KEPITING ( SCYLLA SERRATA ) DI PANTAI UTARA KABUPATEN DEMAK, JAWA TENGAH
Authors: Haposan Sipayung Roni , Poedjirahajoe Erny
Published: July 2021

Rehabilitation of mangrove forests is very important to maintain ecosystem stability and increase the productivity of mangrove forests. The success of mangrove forest rehabilitation can be seen by the density of mangrove vegetation and the increase in mangrove crabs. Mangrove crab is the main commodity for farming communities because in addition to playing an important role in the mangrove ecosystem, it also has high economic value so it needs to be developed to increase people's income. This research was conducted with the aim of knowing the density of mangrove vegetation and crab density in different planting years and the effect of mangrove habitat characteristics on crab density. The research was conducted in three different planting years, namely 2003, 2005, and 2006. Each planting year consisted of a front zone, a middle zone and a back zone. In each zone a measuring plot with a size of 5 m x 5 m was made to collect data on vegetation density, temperature, mud thickness, salinity, acidity, and dissolved oxygen (DO). Then in the 5 m x 5 m plot, a 1 m x 1 m plot was made to collect data on the number of crabs. Data analysis used regression equation and ANOVA difference test. The results showed that the highest vegetation density was in the back zone of the 2006 planting year with a density of 2160 individuals/ha, while the highest density of crabs was in the 2005 planting year with a density of 12111.11 individuals/ha. Regression analysis showed the effect of temperature, mud thickness and salinity variables on crab density with the equation Y = 3.447 - 0.044X1 - 0.009X2 - 0.230X3 with R = 0.809. In the different ANOVA test, only the thickness of the mud had a significant difference at three years of planting (0.00 < 0.05).
PENERAPAN SISTEM KOMPUTERISASI HAJI TERPADU (SISKOHAT) TERHADAP PENINGKATAN LAYANAN HAJI PADA KANTOR KEMENTERIAN AGAMA KABUPATEN SUMBAWA
Authors: Suzami Ardi , Hudaya Chairul , Rodianto
Published: July 2021

This study aims to determine the effect of the implementation of the Integrated Hajj Computerized System (SISKOHAT) on the improvement of Hajj services at the Ministry of Religion Office of Sumbawa Regency. This research is quantitative descriptive. The type of data used, namely primary data, was obtained from the results of distributing questionnaires to prospective pilgrims, the general public, and SISKOHAT officers/managers in Sumbawa Regency. The sample in this study were 101 respondents who were prospective pilgrims, 113 respondents who were the general public, and 11 respondents who were SISKOHAT officers/managers. The data analysis method used is simple linear regression analysis which includes data quality test, classical assumption test, and coefficient of determination test. The results showed that the application of SISKOHAT had a positive and significant effect on Hajj services. In addition, the implementation of SISKOHAT has an effect of 82.1% on increasing hajj services for prospective pilgrims, 57.3% for the general public, and 52.6% for SISKOHAT officers/managers. The remaining 17.9% for prospective pilgrims, 42.7% for the general public, and 47.4% for SISKOHAT officers/managers are influenced by other variables not discussed in this study.
Research on Urban and Rural Involvement in Smart Elderly Services
Authors: Shi Lifang
Published: July 2021

This article aims to overcome the challenges faced by traditional elderly care services in China and discuss the development opportunities of smart elderly care services in urban and rural areas. Additionally, seek feasible countermeasures based on the basic ideas of smart elderly care to promote the transformation of urban and rural elderly care services to smart and intelligent. Therefore, we can bridge the gap between urban and rural areas, break the urban-rural dual structure, and encourage cities and villages to share the benefits of reform and development.
Female Family-Head Resilience in Building Family Food Security in New Normal Adaptation of Covid-19 Pandemic
Authors: Kertati Indra
Published: July 2021

The problem in this research is that women access of providing food is limited due to Covid-19 pandemic, insufficient skills and education as well as poverty. The aim is to describe and analyze the capacity of poor women as family head in strengthening food security in the new normal period. The focus of this research is the family head of poor women in the city of Surakarta, Central Java, Indonesia. The results showed that the resilience of poor women's household heads was hindered by the legal identity they did not have after divorcing from their husbands. A legal identity will provide a foundation for women to access closed opportunities, because poor women do not understand legal identity is a prerequisite for accessing assistance in poverty alleviation programs. Fortunately, these poor women head of households have excellent resilience to maintain food security for their families. Their resilience is currently heavier than the monetary crisis in 1989-1999, because at this time they have to compete with others who are more knowledgeable in information technology. As the recommendations, the results of this study are aimed at the city government of Surakarta to develop a different affirmative strategy to strengthen family food security, especially for poor female household heads.
The Resource Supply of Innovation and Investment Strategies of the Microeconomic Systems Modernization in the Conditions of Digitalization
Authors: Tulchynska Svitlana , Popelo Olha , Vovk Olha , Dergaliuk Bogdan , Kreidych Iryna , Tkachenko Tetiana
Published: July 2021

Within the presented study, applied aspects of the resource provision of innovation and investment strategies for modernization of microeconomic systems in the context of digitalization are submitted. It is substantiated that the modernization of microeconomic systems is a certain activation of the potential modernization aimed at improving the efficiency of processes, technologies, management of products, services and more. Modernization challenges of microeconomic systems are implemented through strategic management of the enterprise development provided resource provision of the potential modernization. Initial conditions of the resource provision of the microeconomic systems modernization in the conditions of digitalization are singled out, which include: efficiency; availability and clarity of the algorithm analysis formed by information base and tools; clear calculations of the cost of attracting resources to the modernization process; forecasting and assessing the risks of incomplete implementation of modernization. It is proved that in the methodological support of resource management of microeconomic systems in the design, the method of subjectivity of distributions or cost centres is used. The methodical toolkit of the resource provision optimization of modernization designing of microeconomic systems in the conditions of digitalization with application of the competitive selection model of modernization projects for the carrying the chosen strategy of the resource supply is offered. The proposed approach to the optimization of resource provision of modernization design of microeconomic systems in the context of digitalization involves: formation of a set of applications based on the preferential principle and priority of innovation and investment strategies; assessment of actual indicators of resource efficiency in modernization projects by each participant; decision-making on providing resources to the modernization project; determining the completeness and redundancy of the resource allocation between projects; distribution of residual resources.
Flow Installation Mechanisms in SDN
Authors: Ahmed Daniyal , Dawood Ateeqa , Rafey Muhammad , Hussain Mudassar
Published: July 2021

Software Defined Networking (SDN) has developed tremendously in the recent years. This paper addresses different flow installation mechanisms. The idea of a programmable network which is the foundation of SDN ensures dynamic network management by separating the control plane from data and management planes. In SDN the control plane resides in SDN Controller, which is responsible for the installation of flows on the data plane. Whenever a flow enters into an SDN switch, flow tables are generated for those flows and installed at data plane from the control plane. These flows have their own properties because of their relevant protocols which are attached to them. A flow consists of a matching pattern, actions, and counter. Based on the respective flow, data communication takes place. This paper investigates three kinds of flow installation mechanisms, reactive, proactive and hybrid. Based on these three flow installation mechanisms, we have analysed the performance of SDN by using different performance metrics. We have used the Mininet and POX controller to evaluate the performance analysis in Ubuntu and Windows-based environments. Finally, we have drawn conclusions
New species and records of Anthomyzidae (Diptera) from the East Palaearctic, with a checklist of taxa occurring in the area
Authors: Roháček Jindřich
Published: July 2021

The knowledge of Anthomyzidae (Diptera: Acalyptratae) in the East Palaearctic area is extended by new taxonomic, biological and distributional information. Two new species of the genus Anthomyza Fallén, 1810, viz. A. aspina sp. nov. (Russia: Far East) and A. breviclavus sp. nov. (North Korea), and a species tentatively affi liated with the genus Zealantha Roháček, 2007, viz. Z. fasciolata sp. nov. (Japan) are described. Although all are based only on females, they are distinctive species unmistakably recognized by external characters and structures of the female postabdomen. Relationships of all new species are discussed. Records of 24 species are presented; 3 species are recorded from the E. Palaearctic, 1 species from continental Asia, 3 species from North Korea and a number of species from particular parts of E. Palaearctic Russia for the fi rst time. An updated checklist of East Palaearctic Anthomyzidae is presented, now comprising 13 genera and 44 species. Taxonomic notes for Anthomyza clara Roháček, 2006, Fungomyza cercata Roháček, 2009 and some other species, and new biological information for Anthomyza trifurca Sueyoshi & Roháček, 2003 are given. Longitudinal dark patterning of the wing found in A. breviclavus sp. nov., represents the fi fth lineage of Anthomyzidae in which this type of pattern has evolved independently. Species richness of Anthomyzidae in the E. Palaearctic is discussed with an estimate of about 60 species occurring in the area.
Modernėjanti tarpukario Vilniaus baldininkystė: baldų dizainas ir kūrėjai
Authors: Dičkalnytė Aistė
Published: July 2021

Straipsnyje aptariama 1919–1939 m. Vilniuje susiklosčiusi savita baldininkystės situacija. Atkreipiamas dėmesys, kad, nepaisant vis dar populiaraus retrospektyvizmo, XX a. 4 deš. išaugo naujovių plėtra. Pasitelkus istorinės, for- maliosios ir stilistinės analizės metodus, siekiama atskleisti modernėjimo tenden- cijas vietos gamintojų gretose, baldų dizaine, švietime.
Ask Your Students for a Change: Using Student Produced and Selected Materials (SPSMs) in Dialogic Pedagogy
Authors: Murphey Tim
Published: July 2021

While I have found several good textbooks to use in my university classes over the years, the defining quality of my classes always seems to have been the creation and use of texts that students themselves have produced from their own experiences. In this piece, I will describe seven types of activity structure teachers can use to stimulate the production of student texts and then loop them back into the classroom for further student use. I will also describe four principal results of adopting such materials through this methodology—student-centered teaching, level and content sensitive materials, socialization, and emic pedagogy—and explain their impact on students in terms of SLA, identity construction, and community formation.
私が大学で教鞭をとってきた中で、良い教科書はいくつかあったが、授業の質に決定的な影響を与えたのは、学生自身が文章を書き、それを教材として使用することである。本論では、学生が自らの経験を綴ることを手助けし、それをさらなる学びの教材として授業で循環させる七つの手法を紹介する。それらは、学習者中心の教授法、学習者に適したレベルと内容の教材の使用、学生同士の交流、（学習者の周辺環境や文化を包括した）イーミックな教授法（emic pedagogy）の活用であり、その手法による、主な四つの効果と第二言語学習、アイデンティティ構築、そしてコミュニティの育成構築に与えるインパクトについても言及する。
Cross-linguistic differences in parafoveal semantic and orthographic processing
Authors: Fernandez Leigh B. , Scheepers Christoph , Allen Shanley E. M.
Published: July 2021

In this study we investigated parafoveal processing by L1 and late L2 speakers of English (L1 German) while reading in English. We hypothesized that L2ers would make use of semantic and orthographic information parafoveally. Using the gaze contingent boundary paradigm, we manipulated six parafoveal masks in a sentence (Mark found th*e wood for the fire; * indicates the invisible boundary): identical word mask (wood), English orthographic mask (wook), English string mask (zwwl), German mask (holz), German orthographic mask (holn), and German string mask (kxfs). We found an orthographic benefit for L1ers and L2ers when the mask was orthographically related to the target word (wood vs. wook) in line with previous L1 research. English L2ers did not derive a benefit (rather an interference) when a non-cognate translation mask from their L1 was used (wood vs. holz), but did derive a benefit from a German orthographic mask (wood vs. holn). While unexpected, it may be that L2ers incur a switching cost when the complete German word is presented parafoveally, and derive a benefit by keeping both lexicons active when a partial German word is presented parafoveally (narrowing down lexical candidates). To the authors’ knowledge there is no mention of parafoveal processing in any model of L2 processing/reading, and the current study provides the first evidence for a parafoveal non-cognate orthographic benefit (but only with partial orthographic overlap) in sentence reading for L2ers. We discuss how these findings fit into the framework of bilingual word recognition theories.
Sustainable manganese catalysis for late-stage C–H functionalization of bioactive structural motifs
Authors: Son Jongwoo
Published: July 2021

The late-stage C–H functionalization of bioactive structural motifs is a powerful synthetic strategy for accessing advanced agrochemicals, bioimaging materials, and drug candidates, among other complex molecules. While traditional late-stage diversification relies on the use of precious transition metals, the utilization of 3d transition metals is an emerging approach in organic synthesis. Among the 3d metals, manganese catalysts have gained increasing attention for late-stage diversification due to the sustainability, cost-effectiveness, ease of operation, and reduced toxicity. Herein, we summarize recent manganese-catalyzed late-stage C–H functionalization reactions of biologically active small molecules and complex peptides.
The Effect of Environmental Performance, Leverage and Company Size Towards Carbon Emission Disclosure on Rated Proper Company in 2015-2018
Authors: Widianto Indra , Sari Dian Purnama
Published: July 2021

Abstract: Carbon emission disclosure is a form of communication that is important and necessary to fulfil the needs and interests of information to the company’s stakeholders. That statement is caused by stakeholder theory, when the company conducts its operational company can’t focus on company purposes or interests only, but company must pay attention to the stakeholder’s interests and provide benefits for stakeholder which can be done by disclosing financial and non-financial information included carbon emission disclosure as a form of corporate responsibility to stakeholders.

The purpose of this research is to analyze and provide empirical evidence about the effect of environmental performance, leverage and company size against carbon emission disclosure on rated PROPER company in 2015-2018. This research is a form of quantitative research with hypothesis testing. Technique used for data analysis is multiple linear regression. The results of this research explained that environmental performance and company size has positive and significant effect on carbon emission disclosure. On the other hand, leverage has no effect on carbon emission disclosure.

Keywords: carbon emission disclosure, environmental performance, leverage, company size.
The Impact of Tax, Exchange Rate, Tunneling Incentive and Firm Size on Transfer Pricing (Empirical Study of Manufacturing Companies Listed on the Indonesian Stock Exchange for Years2014-2018)
Authors: Wijaya Felicia Vanessa , Widianingsih Luky Patricia
Published: July 2021

Abstract: In the era of globalization, companies are developing into multinational companies that establish branches or subsidiaries in various countries. This globalization has given an impact to increase international transaction. These transactions could lead to transactions with related parties that shows an indication of transfer pricing. Along with the development of globalization, factors affecting transfer pricing are not only derived from taxes, but also from other factors. The purpose of this research is to examine the effect of tax, exchange rate, tunneling incentive, and firm size on transfer pricing. This research used secondary data in the form of annual reports published on the Indonesia Stock Exchange. Population of this research was manufacturing companies for years 2014-2018 and by purposive sampling method, a sample of 19 manufacturing companies was obtained. Analysis technique used on this research was a multiple linear regression using SPSS 23 application. The result shows that tax, tunneling incentive, firm size have significant effect on transfer pricing, while exchange rate does not take any effect on transfer pricing. Adjusted R2 determination coefficient of 32,8% shows transfer pricing is affected by tax, exchange rate, tunneling incentive, and firm size, while remaining 67,2% is affected by other variables outside research model.

Keywords: Transfer Pricing; Tax; Exchange Rate; Tunneling Incentive; Firm Size.
Anne Ölümlerinin Önlenmesi: Uluslararası Bakım ve İzlem Modelleri
Authors: DEMİR YILDIRIM Ayça , HOTUN ŞAHİN Nevin
Published: July 2021

Anne ölümleri, sağlık hizmetlerinin kalitesinin değerlendirilmesinde kritik bir göstergedir. Tüm anne ölümlerinin çoğu gelişmekte olan ülkelerde ve önlenebilir ölümlerdir. Risklerin erken dönemde belirlenerek bireye özgü bakım modelleri ile önlenebilir ölüm nedenlerinin ortadan kaldırılması mümkündür. Anne ölümlerini azaltmaya yönelik küresel hedeflerin yanı sıra yeni bakım ve izlem modellerine ihtiyaç vardır. Dünyada anne sağlığının iyileştirilmesi ve geliştirilmesi için gebelerin bakım ve izlemlerinin sağlandığı farklı modeller bulunmaktadır. Bunlara örnek olarak Nurse-Family Partnership, mHealth, First Birn, MIECHV, ImTeCHO, Safe@Home, OB Nest, mCARE I literatürde yer almaktadır. Hem geleneksel yöntemler hem de teknolojinin sağladığı olanaklarla birey ve aile odaklı bakım modelleri ile gebe izlemlerinin sayısı ve kalitesi arttıracak, anne ölümleri azalacaktır. Yeni bakım ve izlem modellerinin test edilmesi için kanıt temelli daha fazla çalışmalara ve ulusal modellere ihtiyaç bulunmaktadır.
Observational Consequences of Shallow-water Magnetohydrodynamics on Hot Jupiters
Authors: Hindle A. W. , Bushby P. J. , Rogers T. M.
Published: July 2021

We use results of shallow-water magnetohydrodynamics to place estimates on the minimum magnetic field strengths required to cause atmospheric wind variations (and therefore westward-venturing hotspots) for a data set of hot Jupiters (HJs), including HAT-P-7b, CoRoT-2b, Kepler-76, WASP-12b, and WASP-33b, on which westward hotspots have been observationally inferred. For HAT-P-7b and CoRoT-2b our estimates agree with past results; for Kepler-76b we find that the critical dipolar magnetic field strength, over which the observed wind variations can be explained by magnetism, lies between 4 G and 19 G; for WASP-12b and WASP-33b westward hotspots can be explained by 1 G and 2 G dipolar fields, respectively. Additionally, to guide future observational missions, we identify 61 further HJs that are likely to exhibit magnetically driven atmospheric wind variations and predict these variations are highly likely in ∼40 of the hottest HJs.
Evidence of Early-stage Tidal Structures of Open Clusters Revealed by Kinematics with Gaia EDR3
Authors: Li Yezhang , Pang Xiaoying , Tang Shih-Yun
Published: July 2021

Blanco 1, a 100 Myr open cluster in the solar neighborhood, is well known for its two 50 pc long tidal tails. Taking Blanco 1 as a reference, we find evidence of early-stage tidal disruption in two other open clusters of ∼120 Myr: the Pleiades and NGC 2516, via Gaia EDR3 data. These two clusters have a total mass of 2–6 times that of Blanco 1. Despite having a similar age as Blanco 1, the Pleiades and NGC 2516 have a larger fraction of their members bound: 86% of their mass is inside the tidal radius, versus 63% for Blanco 1. However, a correlation between Blanco 1's 50 pc long tidal tails and the “kinematic tails” in velocity space is also found for the Pleiades and NGC 2516. This evidence supports the idea that the modest elongation seen in the spatial distribution for the Pleiades and NGC 2516 is a result of early-stage tidal disruption.
Propagation of Vertical Fractures through Planetary Ice Shells: The Role of Basal Fractures at the Ice–Ocean Interface and Proximal Cracks
Authors: Walker Catherine C. , Bassis Jeremy N. , Schmidt Britney E.
Published: July 2021

The presence of smooth, young surfaces indicates that regions of Enceladus and Europa have been resurfaced through recent or ongoing activity related to the eruption of liquid water from subsurface reservoirs. For interior material to erupt or flow out onto the surfaces of these satellites, fractures would have to vertically penetrate the ice shell to the depth of a subsurface reservoir or ocean. Here we use linear elastic fracture mechanics to show that accounting for fracture interactions makes it much more difficult for fractures to penetrate the entire ice shell than previous estimates. We found that fractures that originate from the surface are unlikely to penetrate the entire shell thickness, even for the upper range of tectonic stresses estimated for each moon. Tensile fractures that initiate from the bottom of the icy shell—as observed in terrestrial ice shelves—propagate further into the icy shell than surface crevasses but still do not penetrate the entire ice thickness. However, full ice shell thickness fracture is possible if shear failure connects the surface with deep-penetrating basal fractures in thinner ice shell thicknesses and under certain stress conditions. This suggests that the combination of tensile and shear failure may be important and necessary for the formation of a connection from the surface to the ocean below.
Implementation of Lean Six Sigma for production process optimization in a paper production company
Authors: Adeodu Adefemi , Kanakana-Katumba Mukondeleli Grace , Rendani Maladzhi
Published: July 2021

Purpose: This study aimed at implementing lean six sigma to evaluate the productivity and manufacturing waste in the production line of a paper companyMethodology/Approach: The study is a case study in nature. The method illustrates how lean six sigma (LSS) is used to evaluate the existing production process in a paper production company with focus on productivity and manufacturing waste. The study considered a real-time problem of customer’s dissatisfaction. The gathered data is based on machine functionality (up time, down time and cycle time); materials and labour flow at every process stages of the production line. The optimization of the production process was based on lean tools like value stream mapping, process cycle efficiency, Kaizen, 5S and pareto chartFindings: Based on lean six sigma application, it was discovered that the present production performance was below standard and more manufacturing wastes were generated. The present productivity and manufacturing wastes are reported as low process cycle efficiency (23.4 %), low takt time (4.11 sec), high lead time (43200sec), high number of products not conforming to six sigma values, high down time (32.64 %) and excess labour flow (33). After the implementation of the lean six sigma tools for certain period of time, there are lots of improvements in the production line in terms of all the parameters considered.Research Limitation/ Implications:  The study has demonstrated an application of lean six sigma in the case of solving real-time problems of productivity and manufacturing wastes which have a direct implication on customer’s satisfaction. The lesson learned and implications presented can still be further modeled using some lean based software for validityOriginality/Value: The study has contributed to the body of knowledge in the field of LSS with focus to process based manufacturing, unlike most literature in the field concentrate more on discrete based manufacturing.
Perception of the Next Generation Science Standard instructional practices among Vietnamese pre-service and in-service teachers
Authors: Hang Nguyen Thi Thuy , Srisawasdi Niwat
Published: July 2021

STEM education has been emphasized in many countries around the world because of its benefits for students in the new century. In response to STEM education, Next Generation Science Standard (NGSS) has released for a new vision of science education in which learning disciplinary content and crosscutting concepts is through engaging science and engineering practices. Educational reforms lead to a need for science teacher education programs and professional development. To prepare better for pre-service teachers, it is necessary to know their perception about these science and engineering practices. Therefore, this study aims to investigate the perception of pre-service teachers and in-service teachers’ implementation of instructional practices that align with NGSS as well as school principals’ views of science teaching. To get the goal, a convergent parallel mixed-method research design was employed in which quantitative data is a survey of science instructional practices from 187 pre-service teachers and 100 in-service teachers and qualitative data is interviews of 10 school principals in Can Tho city, Vietnam. The finding indicated that pre-service teachers highly evaluated science and engineering practices in teaching science while in-service teachers’ implementation of these practices was lower. In-service teachers tend to use more traditional instruction and incorporate students’ prior knowledge in their teaching. Although school principals revealed their appreciation toward teaching science through practices, they admitted that currently, implementation of these practices has been still limited.
The integration of dilemmas stories with STEM-project-based learning: Analyzing students’ thinking skills using Hess’ cognitive rigor matrix
Authors: Rahmawati Yuli , Afrizal Afrizal , Dwi Astari Devina , Mardiah Alin , Budi Utami Dyah , Muhab Sukro
Published: July 2021

This study aimed to analyze students’ thinking skills through integrating dilemmas stories with a Science, Technology, Engineering, and Mathematics (STEM) project in polymers topic. The participants were 47 Grade 12 students from a public senior high school in West Java Province. The research employed a qualitative method to obtain data through classroom observations, reflective journals, interviews, and a concept test. Students’ thinking skills were assessed using Hess’ Cognitive Rigor Matrix, which combines Bloom's taxonomic and Webb's depth of knowledge. The results show that most students reach level C2 of Bloom's taxonomy and level 1 of Webb’s depth of knowledge, meaning that most students understand and recall the information. The results indicate that integrating dilemmas stories with STEM-PjBL enables students to explain using simple sentences and prior knowledge. In addition, this approach provides an opportunity for students to develop their critical thinking, creativity, and argumentation skills through problem-solving and project making.