Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the Impact of Genotype and Environment Interaction on Growth Performance of Hatchery Produced Catla catla

The culture conditions influence the magnitude of genetic expression in fish. This study was undertaken to assess the impact of Genotype (G) × Environment (E) interaction on the growth performance of hatchery produced Catla catla . The different hatchery stocks including Farooqabad (FQB), Lahore (LHR), Faisalabad (FSD), Bhalwal (BHL) and Qadirabad (QBD) assumed as five distinct genotypes were compared for genetic variability in relation to growth performance. Appraisal fish fingerlings were reared in glass aquaria (twenty fish per population) for 60 days under similar environmental conditions. Condition factor (K) and growth parameters (wet weight, fork and total length) were measured fortnightly. The morphometric data were analyzed using SPSS. Genetics characterization was performed by employing five species specific polymorphic microsatellite markers. Overall, the results of growth trial confirmed that FQB genotype performed maximum while QBD evinced lowest performance among all the genotypes based on wet weight (g) and total length (mm). Genetic analysis revealed significant differences based on allelic frequencies, heterozygosity, inbreeding and genetic distance among hatchery genotypes. Impact of G×E interaction is illustrated by results where genetically diverse FQB genotype performed maximum under similar cultural environment among all genotypes.
City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected with vertical walls to the ground, we propose an approach to infer the vertical walls directly from the data. With the planar segments of both roofs and walls, we hypothesize the faces of the building surface, and the final model is obtained by using an extended hypothesis-and-selection-based polygonal surface reconstruction framework. Specifically, we introduce a new energy term to encourage roof preferences and two additional hard constraints into the optimization step to ensure correct topology and enhance detail recovery. Experiments on various large-scale airborne LiDAR point clouds have demonstrated that the method is superior to the state-of-the-art methods in terms of reconstruction accuracy and robustness. In addition, we have generated a new dataset with our method consisting of the point clouds and 3D models of 20k real-world buildings. We believe this dataset can stimulate research in urban reconstruction from airborne LiDAR point clouds and the use of 3D city models in urban applications.
Sustainable Innovation as a Driver for Socio-Ecological Transition

: Societies are facing major and worsening environmental, social and health crises. In order to deal with these challenges, a major socio-ecological transformation is required. Sustainable innovation (SI) is one of the means to achieve this goal. We propose in this article a new deﬁnition of SI for sustainable development purposes, guided by the SDGs and setting the context, along with comprehensive literature. The article then highlights the concepts to which SI is related, such as the theory of sociotechnical systems and transitions, as well as its ﬁelds of application, such as the circular economy
Dense U-Net for single image super-resolution using shuffle pooling

Abstract. Single-image super-resolution (SISR) in unconstrained environments is challenging due to various illuminations, occlusions, and complex environments. Recent research has achieved remarkable progress on super-resolution tasks with the development of deep learning in computer vision. We aim to improve the performance of deep-learning-based super-resolution tasks in different scenarios. Existing works are inherently limited to defective transfer structures such as the pooling method and the one-way information transfer between convolutional layers. To address this limitation, we propose a dense U-Net with the shuffle pooling method, a scalable method that can perform a down-sampling method for extracting features from shallow layers. The modified U-Net with dense blocks for SISR introduces a multi-way information transfer between high-to-low and low-to-high convolutional paths. Meanwhile, an innovative shuffle pooling module is designed to retain all information in the feature map of the previous layer, which is effective and easy-to-port. To minimize structural similarity and gradient error, a hybrid loss function was developed that combined mean square error, structural similarity index, and mean gradient error. The proposed method achieves superior accuracy on previous state-of-the-arts on the three benchmark datasets: SET14, Berkeley Segmentation Dataset 300, and International Conference on Document Analysis and Recognition Dataset 2003.
Libraries and the circulation of power: A historical case study of Pittsburgh, 1924-2016

This project explores how political power shaped the development of a regional public library infrastructure in greater Pittsburgh, United States. The project is interdisciplinary in that it addresses research problems from two fields. In library studies, research related to the public sphere and public libraries uses an exhausted paradigm, one that is anachronistic and anatopic. A new public sphere paradigm is needed for research about public libraries. Also in library studies, historical accounts of libraries in greater Pittsburgh have overlooked the history of the regional public library system. A history of the system has yet to be written. In political science, Habermas’s Machtkreislauf, or circulation of power model faces several objections and it has not received sufficient empirical testing. The model could be refined by applying it to an actual case. To address these problems, this project dovetails them by asking the following research question: How does the Machtkreislauf model apply to the regional public library system in Pittsburgh? To answer this question, this project uses historical case study, a research strategy that was newly developed for this project. This study proceeds in several stages: source collection and analysis, data collection and analysis, and data interpretation. Source collection combines archival research, interviewing, and fieldwork to gather source materials, periodize the case, and limn the boundaries of the case. Data collection uses qualitative content analysis to construct a coding instrument, validate it, and apply it to the source materials. Data interpretation uses qualitative comparative analysis to identify and describe the causal conditions that explain the case’s outcomes. This project contributes new findings to multiple areas. To the area of research methodology, it proposes a novel research design, historical case study. To political science, it revises the Machtkreislauf model using new concepts, including circuits, tessellations, broadcast/narrowcast, and formal decision. To library studies, it offers a historical account of the regional public library system in Pittsburgh using the concept of decision cycles. Also to library studies, it proposes a new theory where configurations of civil activity, responsiveness, legitimacy, and resistance explain how the public sphere affects public library development.
Collaborative Product Design And Manufacturing Methodologies And Applications

Thank you for downloading collaborative product design and manufacturing methodologies and applications. As you may know, people have look numerous times for their favorite readings like this collaborative product design and manufacturing methodologies and applications, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some harmful bugs inside their laptop.
Sandwich type biosensor of ε-subunit of FoF1-ATPase for ultrasensitive-detection of Bladder cancer cell

It was an important challenge for bladder cancer diagnosis that to design a sandwich-type biosensor was used for ultrasensitive-detection of Bladder cancer cell. This inspire was from that ε-subunit of FoF1-ATPase could be regarded as a switch of the FoF1-ATPase biosensor and its application on the ultrasensitive-detection. There was only one ε subunit in one FoF1-ATPase and this character could be used to design a real single antibody sandwich-type biosensor. Due to ε-subunit of FoF1-ATPase as an intra-molecular rotation switch in the transition inter-changeable motion, it was found that ε-subunits can be interchanged between “rotor” and “stator” and remained its different activation at each status. Furthermore, Tip-chip device fabrication, a method that combined both double antibody sandwich immunoassay and intra-rotation switch of ε subunit FoF1-ATPase, role “rotor” and ‘stator’ a signal amplification at space scale, and time scale accumulation, was a powerful method. There were two stats of the rotation switch model, one was the switch close state when the γ and ε subunits of FoF1-ATPase bound as one complex, and the other was the switch open state when the γε complex divided, the intra-molecular rotation coupling model based on the “binding change mechanism”.
Nonlinear integrated control with friction estimation for automatic lane change on the highways

A vehicle is a highly nonlinear dynamical system with high degrees of freedom. There are also very strong couplings between the longitudinal and lateral dynamics. Therefore, the simultaneous longitudinal and lateral motion control in different road conditions is a challenging problem. This paper presents an integrated adaptive control for longitudinal and lateral vehicle guidance on the highways. The contribution of this work is the design of a robust integrated controller that can handle tyre-road friction changes with low computational cost The proposed controller can adapt to the variations of tyre and road specifications. The strength of this method is that without the use of complex models, the nonlinear tyre dynamic is considered in the design of the controller. Therefore, despite the consideration of a comprehensive nonlinear vehicle dynamic model and the ability to adapt to changes in tyre and road specifications, the computational cost of the algorithm is very small. Besides, due to the controller robustness, there are no concerns about uncertainties. To validate the proposed algorithm, a full vehicle model in CarSim software is used. In obtained results, it is assumed that the yaw rate, longitudinal and lateral acceleration signals are available and have noises. The estimation of longitudinal and lateral velocities and other vehicle states has been done using these signals. Results for different road conditions as well as various vehicle movement modes confirm that tracking of longitudinal and lateral positions has been carried out with high precision. Besides, the results show that the proposed integrated control guarantees the stability of the vehicle, it will manage the tyre-road friction changes well, and also it is resistant to unmodeled uncertainties.
Joint instancewise and instance-union fusion for improving motion detection algorithms

Abstract. Motion detection (MD) is a fundamental step in many advanced computer vision applications, but the various complex challenges in real surveillance videos lead to some false positives and false negatives in the detection results of traditional MD algorithms. Therefore, joint instancewise and instance-union fusion for improving MD algorithms, in which an instance segmentation model is combined with a traditional MD algorithm. are proposed to address this problem. First, for each input frame (indexed by t), the MD algorithm produces a binary mask Mt, and the instance segmentation model produces the specific categories of binary instance masks (BIMs). Second, according to the instance confidence, BIMs are divided into high-quality binary instance masks (HBIMs) and low-quality binary instance masks (LBIMs). Then instancewise fusion of HBIMs with Mt and instance-union fusion of LBIMs with Mt are used to generate a high-quality foreground segmentation mask DtH and a low-quality foreground segmentation mask DtL, respectively. Finally, the bitwise logic addition operation of DtH and DtL produces a more accurate foreground segmentation result than Mt, called Dt. The experimental results show that our proposed method with visual background extractor and YOLACT++ processes at a resolution of 320 × 240 videos at 30 frames per second. For the Changedetection.net -2014, SBM-RGBD, and labeled and annotated sequences for integral evaluation of segmentation algorithms datasets, the highest overall F-measure of our experimental results with our proposed method are 0.8454, 0.8094, and 0.8939, respectively, surpassing state-of-the-art unsupervised MD methods.
Fertilization and dried distillers grains supplementation effects on performance and N recovery by stocker cattle grazing Old World bluestem

A 2-yr study evaluated the efficacy of using dried distillers grains plus solubles (DDGS) as a substitute for nitrogen (N) or N and phosphorus (P) fertilizer in stocker cattle grazing Plains Old World bluestem. Cattle were allotted to one of 4 treatments:1) Old World bluestem pastures with no N or P fertilizer and low stocking rate of 325 kg/ha (CONT), 2) Old World bluestem pastures fertilized with 90 kg/ha of N and no P with high stocking rate of 650 kg/ha (NFERT), 3) Old World bluestem pastures fertilized with 90 kg/ha of N and 40 kg/ha of P with high stocking rate of 650 kg/ha (NPFERT), and 4) unfertilized Old World bluestem pastures with the same stocking rate as NFERT and NPFERT with cattle receiving 0.75% BW of corn DDGS per day for a 5 day / week feeding schedule (DDGS). Average forage mass in yr 1 was 3,170 kg and yr 2 was 6,051 kg. In yr 1 final BW (P < 0.05), total BW gain (P < 0.05), overall ADG (P < 0.05), and gain/ha (P < 0.05) were greater for DDGS compared to CONT, NFERT, and NPFERT. Nitrogen recovery as cattle weight gain was greatest (P < 0.05) for CONT, and DDGS was greater than NFERT and NPFERT. In yr 2 there were no differences (P > 0.05) between final BW, total BW gain, or overall ADG between treatments. This may be due to greater forage mass in yr 2 from increased rainfall. Gain per ha was greater (P < 0.05) for DDGS, NFERT, and NPFERT compared to CONT and is due to increased stocking rates for those treatments. Nitrogen recovery was greater (P < 0.05) for CONT, intermediate for DDGS, and lowest for NFERT and NPFERT. Dried distillers grains can be used as a substitute for forage and N fertilizer by improving performance and N recovery by stocker cattle grazing Old World bluestem.
Measurement of driver's fatigue based on driver's postural change

In order to support driving behavior more safely, we are developing a detector of driver's fatigue. As one of the detectors, we examined the possibility of postural change, which is measured by pressure between a driver and a seat. It was found the change of load center position represented the change of driver's posture and was a good index to presume fatigue.
Decoding an Amino Acid Sequence to Extract Information on Protein Folding

Protein folding is a complicated phenomenon including various time scales (μs to several s), and various structural indices are required to analyze it. The methodologies used to study this phenomenon also have a wide variety and employ various experimental and computational techniques. Thus, a simple speculation does not serve to understand the folding mechanism of a protein. In the present review, we discuss the recent studies conducted by the author and their colleagues to decode amino acid sequences to obtain information on protein folding. We investigate globin-like proteins, ferredoxin-like fold proteins, IgG-like beta-sandwich fold proteins, lysozyme-like fold proteins and β-trefoil-like fold proteins. Our techniques are based on statistics relating to the inter-residue average distance, and our studies performed so far indicate that the information obtained from these analyses includes data on the protein folding mechanism. The relationships between our results and the actual protein folding phenomena are also discussed.
PCL/Si-Doped Multi-Phase Calcium Phosphate Scaffolds Derived from Cuttlefish Bone

Increasing attention is focused on developing biomaterials as temporary scaffolds that provide a specific environment and microstructure for bone tissue regeneration. The aim of the present work was to synthesize silicon-doped biomimetic multi-phase composite scaffolds based on bioactive inorganic phases and biocompatible polymers (poly(ε-caprolactone), PCL) using simple and inexpensive methods. Porous multi-phase composite scaffolds from cuttlefish bone were synthesized using a hydrothermal method and were further impregnated with (3-aminopropyl)triethoxysilane 1–4 times, heat-treated (1000 °C) and coated with PCL. The effect of silicon doping and the PCL coating on the microstructure and mechanical and biological properties of the scaffolds has been investigated. Multi-phase scaffolds based on calcium phosphate (hydroxyapatite, α-tricalcium phosphate, β-tricalcium phosphate) and calcium silicate (wollastonite, larnite, dicalcium silicate) phases were obtained. Elemental mapping revealed homogeneously dispersed silicon throughout the scaffolds, whereas silicon doping increased bovine serum albumin protein adsorption. The highly porous structure of cuttlefish bone was preserved with a composite scaffold porosity of ~78%. A compressive strength of ~1.4 MPa makes the obtained composite scaffolds appropriate for non-load-bearing applications. Cytocompatibility assessment by an MTT assay of human mesenchymal stem cells revealed the non-cytotoxicity of the obtained scaffolds.
A 3D muscle element nased on Equilibrium Point Hypothesis (EPH) and its application in a biomechanical face model

In our opinion, speech motor control cannot be fully understood without accounting as realistically as possible for the physical properties of soft tissue articulators, and in particular of muscle soft tissues. The present work is a new step toward the design of increasingly realistic muscle models and their integration in biomechanical models of speech articulators. A finite element muscle model has been designed with the UserElem functionality of ANSYS®. This new element is very flexible and it can be used in all kinds of muscle modelling problems. Due to the intrinsic tensile force generation, the tissue stiffness increases in the transversal direction with increasing activation. Another important feature of the muscle model is the fiber direction definition. These fibers can be defined independently of the element orientation and muscles can be thus implemented independently of the mesh geometry. This element has been tested in an existing finite element model of the human face, which has been designed to study interactions between motor control and physical properties of the face in speech production. Two models are proposed for the muscle activation function, a Hill type model and a model based on the Equilibrium Point Hypothesis. A comparison of these models is provided.
Tea tourism: Designation of origin brand image, destination image, and visit intention

In line with the concept of brand association, a famous Designation of Origin (DO) brand image may influence the non-visitor perception of the destination image, but there is little research on this topic. This study investigates the effect of the DO brand image on destination image and non-visitor visiting intention toward a tea culture tourism destination. A systematic survey was conducted in Guangdong, China. The results of 311 valid samples show that all four dimensions (feature, value, functional, and affective) of the DO brand image have a significant positive impact on destination image, but only two cognitive dimensions (feature and functional) of the DO brand image directly influence visiting intention. Therefore, this study confirms that destination image mediates the relationship between DO brand image and tourists’ visit intention. This study contributes to destination image research by linking DO brand and destination image to promote a tourist destination. It also provides implications to tea culture tourism research by integrating a measurement scale of tea image and recommending the practices of tea culture tourism.
A systematic literature review of Chinese music education studies during 2007 to 2019

Based on findings from a large meta-data-based literature survey, this article is intended to provide a comprehensive synthesis of key features of China’s music education system as seen through the lens of n = 116 major research studies, drawn from a total of N = 3,257 high-impact Chinese journal articles published during 2007 to 2019. The synthesis suggests that (1) education reform, aesthetic education, Chinese traditional music and cultural identity were found to be the most prominent topics across all levels of formal music education; and (2) in most studies, government financial support, policy priorities, curriculum enforcement and paedagogical innovation are proposed as general cures to address perceptions of an unsatisfactory situation within music education. However, (3) by relating these findings to national statistics, a clear gap is identified between several research studies and actual social contexts, suggesting a possible deviation of academic communities from realistic educational and social challenges. Thus, external validity issues related to these studies are also discussed critically, along with their potential influence on views of what counts as Chinese music education in domestic and international research communities.
A cost effective trade-off based renewable power augmented energy efficient load model for manufacturing industries for demand side management

Abstract Efficient utilization of electrical energy plays a significant role for sustainable development of the industries. Moreover, effective implementation of energy efficiency technology in the industrial infrastructure and production chain is a part of smart grid mission. However, the cost effectiveness of the project is always a constraint for adoption and implementation. In this paper, for demand side management, an appropriate rule based strategy has been proposed which improves the energy efficiency of a production unit in a cost effective manner. Also, an attempt has been made to develop a fair trade-off based captive renewable power augmentation scheme which will further enhance the cost effectiveness of the presented energy efficiency model for the plant. Moreover, this approach can significantly reduce the maximum demand of the plant which will unburden the power utility. The developed model has been applied in a cement-asbestos industry considered for case-study which produces satisfactory results. The proposed model can be suitably customized for other type of production industries. The trade-off mechanism has been validated using HOMER Pro-3.2 software.