Miracle-dz/UniFAR-FTUs huggingface dataset:
Shake Table Testing: A High-Resolution Vertical Accelerometer Array for Tracking Shear Wave Velocity

Dynamic ground and ground-structure responses are heavily dependent on the soil shear wave velocity. During seismic excitation, soil stiffness inferred from the shear wave velocity (Vs) might change significantly and affect the overall system response. In this study, an instrumentation and analysis framework was developed to allow for continuous estimation of Vs during dynamic/seismic excitation. The framework is presented along with representative applications during shake table testing of saturated sand strata. For that purpose, results from two different 1-g shake table tests conducted in a laminar soil container are examined and analyzed. In this context, evolution of the soil Vs profile during the shaking event is tracked and documented. The experimental setup, test procedure, and test results are described. Time histories of Vs at different depths within the sand strata are discussed. Overall, the developed techniques can be conveniently included in routine 1-g and centrifuge shake table experimentation efforts, when properly accounting for the differences between sizes of 1 g and centrifuge models.
A data model for organizing relative semantics as images to support pedestrian navigation computations

Pedestrian navigation systems often use the relative semantics of pedestrians and their environments to provide navigation guidance. Relative semantics include spatial and visual semantics. However, most navigation data models are based on an absolute reference frame and do not support the organization of relative semantics. To address this deficiency, we propose a pedestrian navigation data model based on relative semantic images that organizes the relative semantics of landmarks and environments directly in the image channels. Using geographic data for a university campus, we compared the data file size, data access time, and memory usage to confirm that the proposed approach outperforms the geodatabase approach in storing and accessing the relative semantic data. Two examples, self‐localization and route guidance, demonstrate the feasibility of the proposed data model. This model can support fast pedestrian navigation on mobile devices in small and medium‐sized areas.
Study on embryonic and larval developmental stages of Sucker head Garra gotyla (Gray 1830; Teleostei; Cyprinidae)

Summary Garra gotyla is an indigenous coldwater fish of the cyprinid family and has wide geographical distribution in India as well as in other countries of Asia and Africa. Induced breeding in G. gotyla was carried out successfully for the first time and an attempt has been made to document developmental stages chronologically from the first minute of fertilization, through all stages of embryonic development until the fifth day post hatching. This experiment was carried out at 22–24°C water temperature at the Directorate of Coldwater Fisheries Research, Bhimtal, India. During the breeding trial, the fertilization rate was observed as 70–75% and hatching rate was 85–90%. The mature fertilized ova were measured as 0.8–1.0 mm in diameter and the perivitelline membrane became thick soon after fertilization and formation of the germ pole. The periods taken for complete developmental stages were recorded; cleavage stage 111 min (min post fertilization (pf)), blastulation stage 580 min (pf), neurulation and segmentation 1250 min (pf) and hatching was completed after 1420 min. The sac fry was measured as 3 mm in length and took almost 3 days for complete absorption of the yolk content. The major structural and differential changes observed are in head, tail, fins, alimentary canal, rudiments of each organ and appearance of melanophore pigmentation in the whole body. The 5-day-old larvae were measured as 6 mm in length with almost every organ fully differentiated. The present study will be utilized for large-scale production of fingerlings for stock enhancement in rivers, lakes and possibilities of genetic improvement and manipulation at the embryonic stage.
Competences for Solving Complex Problems: A Cross-Sectional Survey on Higher Education for Sustainability Learning and Transdisciplinarity

Successfully coping with complex, real-world challenges, such as those related to sustainable development and the resilience of coupled human–environment systems, calls increasingly for adapted forms of education and extended competences. Hence, we argue that, beyond knowledge and expertise in professional domains, additionally, personal, systemic, creative, and sociocultural competences are required to meet such challenges. Herefor, institutions of higher and continuing education play a crucial role. In this paper, universities as institutions of higher education are critically considered in relation to delivering education for sustainable development by raising awareness and providing the necessary competences to cope with complex problems such as sustainable development through effective forms of higher and continuing education as well as training. Research on attitudes and perceptions regarding sustainable development and the perceived need for comprehensive competences required to deal with such complex problems is still lacking. Our study provides a first attempt to elucidate core aspects of these attitudes, perceptions, and competences aiming to contribute to future, more tailored education approaches. We discuss the outcomes of a survey on sustainability in teaching and learning conducted at four Austrian universities. The analyzed sample comprised 3200 students as the recipients of, and 498 lecturers as the providers of, sustainability education in various academic disciplines at four distinct Austrian universities. Applying a questionnaire-based investigation of self-reported sustainability-related perceptions, attitudes, and competences and conducting factor analysis and cluster analysis, five sustainability types were identified that revealed a type of specific core awareness of sustainability and the perception of required competences related to sustainable development. The results presented are positioned to build a basis for further investigation that goes beyond the self-reported assessments to enable a comparison with sustainability-related, real-world problem-solving performance.
Multispectral remote sensing for the estimation of green leaf area index

The causal relation between multispectral reflectance and green leaf area index (l.a.i.) has enabled the estimation of green leaf area index by the judicious use of remotely sensed multispectral reflectance measurements. In this paper three topics are discussed. First, the reflectance properties of a vegetation canopy and the problems of determining the form of the relation between green l.a.i. and red and near-infrared reflectance: these problems include variability in substrate and leaf reflectance and the geometry of the scene and sensor. Second, the methodologies currently employed for estimating green l.a.i.: these methodologies are based on the production of simple, complex or modelled calibration curves. Third , current research at the University of Sheffield: this includes not only studies with multispectral reflectance collected from aircraft-mounted sensors to estimate the green l.a.i. of heathlands and grasslands but also multispectral reflectance collected from satellites to map estimated green l.a.i. It is concluded that the main applications for this remote-sensing technique are within the fields of agricultural intelligence, agricultural m anagement and ecological research.
SECURING GENERALIZED DATA USING RB24 ALGORITHM

A BSTRACT . The amount of data to be communicated through social media like facebook, twitter, instagram, whatsapp, and etc. These social media data used to analyzed the prediction of future any products. This prediction data has security less, So, D.J. Bernstein introduced the Salsa method for security purpose. But this method contribute only speed of encryption only. In this paper, a novel method is RB24 method. This method has three stages. In the ﬁrst stage, to create secret key and multiply the key. In the second stage, to swap the prime numbers and non negative integer in given matrix. In the third stage, to swap the M pair numbers. Finally, the proposed method RB24 provide very good security when compared with Salsa method.
Is Organizing Knowledge Effective in Primary Education?

The acquisition of reading comprehension abilities and written expression is one of the key factors among learning processes in which students show many difficulties. For this reason, it is necessary to implement effective intervention strategies from early school years. The program EPI.com is aimed at improving lexical, semantic, and syntactic processes related to the reading process. This work aims to analyze the efficiency of EPI.com in years 1&2 of Primary Education. Participants in the research were 62 students (ages 6–8), who were assigned to an Experimental Group (EG; 38 students receiving the EPI.com intervention) and a Control Group (CG; 24 following traditional teaching and learning methods). The Illinois Test of Psycholinguistic Abilities and the Peabody test were applied before and after the intervention was carried out. Results showed that the strategy was effective in EG in improving the psycholinguistic aspects measured by the ITPA, with better results in the variables related to syntactic and lexical processing. Taking the results into account, it was concluded that EPI.com allows students to improve the abilities relating to reading skills. Also, the results highlight the need to incorporate interventions aimed at favoring maturation in some key aspects at early ages.
CNN-LSTM Hybrid model based human action recognition with skeletal representation using joint movements based energy maps

In recent years 3D skeleton based human action recognition has become very popular in action classification tasks. Even though action recognition is still less successful due to complexity in actions performed when compared to image recognition. Due to huge success in deep learning concepts for recognizing images, we present a new representation of 3D human sequences into joint movements based energy maps (JME). JME’s projects the spatio information embedded in to single image and are inputted to Convolutional Neural Networks (CNN) for classification. Temporal information that is x,y and z position vectors are executed by the Time series LSTM for recognition both spatio CNN and temporal LSTM scores are fused for final classification. The experimentation have done by our own dataset KLHA3D-102. In order to evaluate our proposed algorithm Convolutional Long Short Term (C-LSTM) we considered publicly available action datasets namely HDM05, CMU and NTU RGB-D. The results shown a better performance due to spatio temporal modelling of our proposed hybrid model at both the representation and the recognition stages when compared to other state of the arts.
Using extracellular low frequency signals to improve the spike sorting of cerebellar complex spikes

The challenge of spike sorting has been addressed by numerous electrophysiological studies. These methods tend to focus on the information conveyed by the high frequencies, but ignore the potentially informative signals at lower frequencies. Activation of Purkinje cells in the cerebellum by input from the climbing fibers results in a large amplitude dendritic spike concurrent with a high frequency burst known as a complex spike. Due to the variability in the high frequency component of complex spikes, previous methods have struggled to sort these complex spikes in an accurate and reliable way. However, complex spikes have a prominent extracellular low frequency signal generated by the input from the climbing fibers. We exploited this to improve complex spike sorting by applying Principal Component Analysis (PCA) on the low frequencies of the signal and show that the low frequency first PC achieves a better separation of the complex spikes from noise. The low frequency data are more effective in detecting events entering into the analysis, and therefore can be harnessed to analyze the data with a larger signal to noise ratio. These two advantages make our method more effective for complex spike sorting. Our characterization of the dendritic low frequency components of complex spikes can be applied in other studies to gain insights into processing in the cerebellum.
A core microbiota of the plant-earthworm interaction conserved across soils

Microorganisms participate in most crucial soil functions and services benefiting human activities, such as biogeochemical cycles, bioremediation and food production. Their activity happens essentially in hotspots created by major soil macroorganisms, like rhizosphere and cast shaped by plants and earthworms respectively1. While effects of individual macroorganism on soil microbes are documented, no studies attempted to decipher how the mosaic of microhabitats built by multiple macroorganisms and their interaction determine the structure of microbial communities. Here we show a joint shaping of soil bacterial communities by these two macroorganisms, with a prevalent role of plants over earthworms. In a controlled microcosm experiment with three contrasted soils and meticulous microhabitat sampling, we found that the simultaneous presence of barley and endogeic earthworms resulted in non-additive effects on cast and rhizosphere bacterial communities. Using a source-sink approach derived from the meta-community theory2,3, we found specific cast and rhizosphere core microbiota4,5 of the plant-eartworm interaction, detected in all soils only when both macroorganisms are present. We also evidenced a core network of the plant-earthworm interaction, with cosmopolitan OTUs correlated both in cast and rhizosphere of all soils. Our study provides a new framework to explore aboveground-belowground interactions through the prism of microbial communities. This multiple-macroorganisms shaping of bacterial communities also affects fungi and archaea, while being strongly influenced by soil type. Further functional investigations are needed to understand how these core microbiota and core network contribute to the modulation of plant adaptive response to local abiotic and biotic conditions.
Caring for Cinderella—Perceptions and experiences of peatland restoration in Scotland

1. In this paper, we look at people's engagement with peatlands and peatland restoration in Scotland through the lens of care. Care is an elementary aspect of how we relate to each other and the world around us. 2. Our results highlight the importance of personal experiences and relationships and embodied learning in fostering and defining care. 3. The results also point to difficult questions about what it means to care well and the factors influencing people's capacity to care. While focusing on care thus does not automatically resolve or overcome conflicts or barriers, it acknowledges that even those that have different views may care and it can help legitimize emotional and personal experiences and attachments. 4. Our study also showed that uncertainty and lack of knowledge can open up spaces of opportunity if they are openly acknowledged, for example, through appropri ate structures (e.g. in the form of flexible funding schemes) which allow for the co-creation of knowledge and caring practices between experts, lay people and non-human others through experimental practices, experiences and reflection. 5.
Examining the role of logistics 4.0 enabled dynamic capabilities on firm performance

The study investigates the effect of technological capabilities, organizational capabilities and environmental capabilities on Logistics 4.0 capabilities and also examines the effect of Logistics 4.0 capabilities on firm performance. ,The proposed theoretical framework is tested using WarpPLS 6.0 software. We selected samples from the Automotive Component and Allied Manufacturers in South Africa. Initially, we sent the structured questionnaire online using Google forms to 800 potential respondents. After doing follow ups, we received 230 completed survey responses. Further, data preparation is done using established scientific approach and we checked suitability of its use in structural equation modelling. After ensuring all necessary checks are completed, the results are found satisfactory to further proceed with testing of research hypotheses. ,It is observed that technological capabilities, organizational capabilities and environmental capabilities show significant effect on Logistics 4.0 capabilities. However, the outcome of technological capabilities and environmental capabilities on Logistics 4.0 capabilities (s = 0.27) is found stronger than organizational capabilities. Logistics 4.0 capabilities shows significant effect on firm performance. ,It is important that the sustainability goals are aligned with Logistics 4.0 strategies. Managers need to increase focus towards development of Logistics 4.0 dynamic capabilities that enhance agility and responsiveness in the supply chain. Managers should check the financial performance and market conditions continuously to further review logistics performance as this can influence the overall firm performance. ,This study advances the literature on Logistics 4.0 applications in operations management by investigating the key links such as Logistics 4.0 capability development and firm performance.
Evaluation on Rock Tensile Failure of the Brazilian Discs under Different Loading Configurations by Digital Image Correlation

The fracture behavior of the disc specimens in the Brazilian test is closely related to the reliability and accuracy of the experimental results. To comprehensively investigate the effect of various loading methods and rock material types on the failure mechanism of the Brazilian discs, five different rock types tested with three typical loading methods were employed in this work. The digital image correlation (DIC) method was applied to record and analyze the strain and displacement field of the specimens during the loading process. Experimental results indicate that the peak load and deformation characteristics of the Brazilian discs are strongly affected by the loading types. The Brazilian test with the Chinese standard is evidently not suitable for measuring the tensile strength of rocks, and the other two testing methods may lead to an invalid failure mode for rock materials with high stiffness and tensile to compressive strength ratio. Furthermore, it revealed that the maximum equivalent stress point of a disc specimen is co-controlled by the material stiffness and its tensile–compression ratio. The present work shows that it is necessary to select a suitable loading configuration for each rock type in the Brazilian test.
‘Self‐fumigation’ of nests by an endangered avian host using insecticide‐treated feathers increases reproductive success more than tenfold

Parasites can cause great fitness cost to their hosts, however, their impact on host populations is often unknown. In healthy populations, parasites are not expected to cause declines, but they can be devastating to small and/or declining populations. Nest ectoparasites can have detrimental impacts on the breeding output of their hosts and are emerging as a threat to several endangered bird species. Therefore, finding cost‐effect ways to reduce the impact of parasites on endangered hosts is crucial. Although ‘close‐order’ management techniques available to manage nest parasites are effective, they are often expensive and might not be suitable for species that are intolerant of intensive manipulation. We tested a low cost, ‘close‐order’ management technique to control parasites and boost nest productivity in an endangered passerine. The endangered forty‐spotted pardalote Pardalotus quadragintus is exploited by an ectoparasitic fly Passeromyia longicornis, an obligate subcutaneous parasite of nestling birds. We offered adult pardalotes the opportunity to ‘self‐fumigate’ their nests by supplying feathers treated with insecticide with which to line their nests and tested whether this boosted nest productivity. Pardalotes readily incorporated the experimental feathers in nest building, and survival of hatchlings was significantly higher in nests lined with treated feathers (95%) compared to nests lined with control feathers (8%). This represents a substantially greater improvement in reproductive success than in previous experimental studies, offering the strongest evidence yet that self‐fumigation is a highly effective, simple and low cost ‘close‐order’ management technique for defending endangered birds against ectoparasites.
Lab-in-a-Box: A Guide for Remote Laboratory Instruction in an Instrumental Analysis Course

Hands-on learning in a laboratory is an integral part of the undergraduate experience for chemistry students. However, with the onset of the COVID-19 pandemic, an opportunity for this approach was not possible. The pandemic has been forcing instructors to explore the remote setting instead of the laboratory. There are several commercially available kits for remote laboratory instruction in general chemistry, organic chemistry, and biochemistry. Kits provide students with a majority of necessary items to conduct scientific experiments in their homes. Unfortunately, there are no commercially available kit options for laboratory exercises in an instrumental analysis course. Here, we describe a homemade kit that focuses on two important pillars of instrumental analysis: spectroscopy and chromatography. The total cost of the kit is about 700 USD; this amount can be reduced significantly if a “do-it-yourself” spectrometer is employed instead of a commercial model. Details about kit contents and experiments performed are described.
Discovery of a third species of the genus Noguchiphaea Asahina, 1976 – Noguchiphaea laotica sp. n. from Laos (Odonata: Calopterygidae)

A new species, Noguchiphaea laotica, is described based on specimens from Lon San, Saysomboun Province, Laos. The holotype male and a paratype female are deposited in the National Museum of Nature and Science, Tokyo. This new species is allied to N. yoshikoae from northern Thailand, but differs from it in the morphology of the male cercus which is depressed centrally apically in dorsal view, and with a more robust dorsal spine at about one-third from its base. In addition, DNA analyses confirm that there are genetic differences between N. laotica and N. yoshikoae. Some observations on the ecology and behavior of N. laotica are briefly reported. http://www.zoobank.org/urn:lsid:zoobank.org:pub:44D39DC5-40A5-4F33-B951-D3AD0B5247B7