Miracle-dz/UniFAR-FTUs huggingface dataset:
Fully Distributed LQR-based Controller Design for Multi-input Time-varying Systems

In this paper, a cooperative Linear Quadratic Regulator (LQR) problem is investigated for multi-input systems, where each input is generated by an agent in a network. The input matrices are diﬀerent and locally possessed by the corresponding agents respectively, which can be regarded as diﬀerent ways for agents to control the multi-input system. By embedding a fully distributed information fusion strategy, a novel cooperative LQR-based controller is proposed. Each agent only needs to communicate with its neighbors, rather than sharing information globally in a network. Moreover, only the joint controllability is required, which allows the multi-input system to be uncontrollable for every single agent or even all its neighbors. In particular, only one-time information exchange is necessary at every control step, which signiﬁcantly reduces the communication consumption. It is proved that the boundedness (convergence) of the controller gains is guaranteed for time-varying (time-invariant) systems. Furthermore, the control performance of the entire system is ensured. Generally, the proposed controller achieves a better trade-oﬀ between the control performance and the communication overhead, compared with the existing centralized/decentralized/consensus-based LQR controllers. Finally, the eﬀectiveness of the theoretical results is illustrated by several comparative numerical examples.
Role of Transforming Growth Factor ÃŸtin Induction of Colon Carcinoma Differentiation by Hexamethylene Bisacetamide1

The differentiation agent hexamethylene bisacetamide (HMBA) in creased expression of transforming growth factor 0, (TGF/30 mRNA in HT29 colon carcinoma cells. The increase was evident after 24 h and was maintained at levels 4-5-fold the control levels for at least 5-13 days. No increase in expression of TGF/32 or TGFa mRNA was observed. Both TCP/Si and HMBA induced loss of expression of a cell surface malignancy marker on HT29 cells, and both decreased cell growth in serum-free medium. Exogenously applied TGK/ii mimicked the growth-arresting effect of HMBA on three surgically resected moderately differ entiated colon carcinomas in serum-free primary culture. Both TGF/3i and HMBA increased the tumor growth fraction in a second group of three more aggressive colon carcinomas, while neither agent had any measurable growth-modulating activity on two other colon carcinomas. The induction of TGF0, mRNA by HMBA along with the parallel biological effects of HMBA and exogenously applied T<. â€¢/;,on resected carcinomas and on HT29 cells suggest that the effects of HMBA on colon carcinoma cells may be mediated in part by induction of TGF0,.
Synthesis and X-ray powder diffraction data of Ba2.64Ta11.25O30.81

The Ba2.64Ta11. 25O30.81was prepared by conventional solid-state reaction technique as a single phase. It was found that the compound crystallizes in the tetragonal system, space group P4/mbm (No. 127) and unit-cell parameters are a = 12.508 59(8) Å, c = 3.912 81(2) Å, V = 612.218(7) Å3, and Z = 1. The crystal structure of the Ba2.64Ta11. 25O30.81 phase is found to be closely related to the tetragonal tungsten bronze structure type, comprising interstitial (TaO)+ inclusions. Reference data were derived from the Rietveld analysis and reported here.
Designing Simulations for Learning

When creating an interactive simulation specifically geared towards the achieving of learning objectives, there are a number of interface design options that need to be chosen carefully. Frequently these decisions are made ‘intuitively’ by designers who resort to the traditional guidelines of ‘direct manipulation’, without adequate consideration of how overall cognitive processes may be affected. Results of several studies have indicated that, to the contrary, interfaces that are less ‘user-friendly’ may, in some instances, be more conducive to concept learning.
Carotid Free Floating Thrombus: Description of a New Technique of Stent Retriever Treatment

The carotid free floating thrombus (FFT) is an infrequent and therefore little studied cause of stroke. Different alternatives of medical and surgical treatment have been described, without demonstrating that one is better than the other. In recent years endovascular treatment techniques have been improved, showing promising results. In this work we present a case report of a FFT treated with a technique of stent retriever thrombectomy
Effect of superabsorbent on soil moisture , productivity and some physiological and biochemical characteristics of basil

The study was carried out in 2019–2020, in the conditions of the Right-Bank Forest-Steppe of Ukraine. The results on the influence of absorbents in gel and powder forms on the productivity of basil plants (Ocimum basilicum L.) are presented. For research were used field, laboratory, statistical and calculation-analytical methods. Absorbent in the form of a gel was used while transplanting: dip the roots of the plant in the solution and then transplant in the field. Absorbent in the form of a powder 5 kg ha-1, application of the absorbent into the soil layer 20–25 cm-1. Absorbents contributed to a slight decrease of sugar content (-0.86–2.68% in the cultivar of Badioryi, -1.48–2.35% in the cultivar of Rutan), significantly decrease ascorbic acid (-8.6–20.1%) and content of the essential oil (8.0–19.4%) and indirectly increased essential oil yield by increasing fresh weight yield in both varieties. The activity of APX, CAT, SOD, tended to decrease in all variants of the experiment, regardless of the form of the absorbent. APX (-12.8–35.1%), CAT (-10.9–22.0%), SOD (-11.9–17.0%). Higher yields were observed in the version with the introduction of the absorbent in the form of a gel. Thus, the yield of the cultivars of Badioryi and Rutan exceeded the control by 52.67 and 50.05%, in accordance. The productivity of basil is increased with the use of superabsorbent polymers. This practice can be recommended to agricultural producers who grow vegetables, in particular, basil in areas of unstable or insufficient moisture.
URBAN MANAGEMENT: AVAILABILITY OF TECHNICAL TOOLS

The research identifies the basic social, economic, and environmental impacts of the current global urbanization rates and the results of this research are illustrated by examples and statistics derived from various countries. It is emphasized that the current situation and its impacts bring new challenges for planners, surveyors and government administrators. Simultaneously with the rapid global urbanization process, mainly in the second half of the 20 century, major technological developments occurred and their impact on the surveying, mapping and geographic information communities is extremely significant. During the last decades new advanced hardware systems and sophisticated geospatial processing algorithms have been developed, thus affecting dramatically the traditional methods for data collection and data processing and providing surveyors, planners and administrators with new methods and techniques to improve the systems and tools used for land management. A review of the available technical tools for spatial information collection, integration and management is given mainly according to their applicability for better urban management. Proposals are given about the most appropriate tools that facilitate usage of the diverse spatial information derived from various sources (such as photogrammetry, field surveying, radar, LiDAR, cartographic digitization and scanning) to facilitate current urban planning and management needs (such as city modeling, informal development detection, environmental monitoring, risk management, disaster prevention). Key word: Urbanization, Spatial Management Tools, Data Collection, Data Integration, Data Processing
Medleaf Detection using Image Processing Algorithm

— India has a prodigious history of utilizing plants as a source of medicines; construed as Ayurveda. But still somewhere in the pace with medicinal science and technology, India has slipped away the essence of Ayurveda.Researchers and healthful practitioners nowadays, in spite of trope that medical care medicines are created utilizing sure plant extracts, are oblivious concerning the healthful the properties of plants.The objective behind the papers is to eradicate this quandary, and hence strives to avail probable users make better utilization of plants with medicinal properties. The dataset consists of numerous images of variants of leaves. The relegation of the leaves is done with the avail of a decision tree. Such a system is a facility to utilize applications which are expeditious in execution additionally. So there is a need to develop an application for leaf for retrieving the medicinal properties of plants. The perception of leaves is done by extracting the features of the leaves from the images.Thus it suggests that such a system obliges is to understand the scrape of not so important properties of many plants and provides insight about the identification and medicinal qualities of leaves.
Distance-Enhanced Graph Neural Network for Link Prediction

Link prediction, which is to predict the existence of a link/edge between two vertices in a graph, is a classical problem in machine learning. Intu-itively, if it takes a long distance to walk from u to v along the existing edges, there should not be a link between them, and vice versa. This motivates us to explicitly combine the distance information with graph neural networks (GNNs) to improve link prediction. Calculating the distances between any two vertices (e.g., shortest path, expectation of random walk) in training is time consuming. To overcome this difﬁculty, we propose an anchor-based distance: First, we randomly select K anchor vertices from the graph and then calculate the shortest distances of all vertices in the graph to them. The distance between vertices u and v is estimated as the average of their distances to the K anchor vertices. After that, we feed the distance into the GNN module. Our method brings significant improvement for link prediction with few additional parameters. We achieved state-of-the-art result on the drug-drug-interaction (i.e., DDI) and protein-protein-association (i.e., PPA) tasks of OGB (Hu et al., 2020). Our code is available at https://github.com/lbn187/DLGNN .
CALIBRATION OF GLOBAL EMPIRICAL MODELS FOR REAL-TIME LIQUEFACTION PREDICTION IN SWITZERLAND

The surface expression of soil liquefaction is critical for rapid response, loss estimation, and emergency planning due to its often-large impact on current infrastructure. In Switzerland, liquefaction has certainly occurred after the 1855 Mw 6.2 earthquake of Visp (Valais, southwestern Switzerland), where the valley floor is presently highly built and industrialised. Other evidences of ground failure (cracks in the ground, terrain changes) that could be associated to liquefaction are documented for a number of other Swiss historical events with Mw ~ 6. In this paper, we compare the observations of the Swiss historical catalogue with the global empirical predictive models of Zhu et al. (2015 and 2017) after customisation to Swiss conditions. The likelihood of liquefaction is predicted based on ground-motion intensity measures (e.g., peak-ground acceleration or velocity), soil-wetness information (e.g., precipitation levels, saturation, water-table depth) and geophysical properties used as proxy for soil density (e.g., Vs,30). Key to the application to Switzerland is the use of high-resolution (~ 30 m) geomorphological datasets along with local additional geotechnical information like the national maps of ground types of building code SIA261. Our final goal is to identify the optimal empirical model to provide real-time estimates of liquefaction likelihood following moderate-to-strong earthquakes in Switzerland based on ground shaking information delivered by the Swiss ShakeMap system.
INVESTIGATION OF SEISMIC FRAGILITIES OF PRECAST INDUSTRIAL BUILDINGS IN TURKEY

The majority of industrial buildings consist of one and multi-story hinge-jointed precast buildings in Turkey. Unfortunately, industrial zones which hosting the important industrial precast buildings are located in active seismic zones. For this reason, Denizli Organized Industrial Zone (DOIZ) which is located on the first earthquake zone of Turkey was selected and structural properties of more than a hundred precast buildings were determined by project and site investigations. Lateral strength and deformation capacities of buildings obtained by nonlinear static pushover analysis. Fragility curves were derived for the determination of seismic risk in one and multi-story precast industrial buildings. Nonlinear dynamic analyses were performed to obtain lateral drift demands of buildings. In order to represent low, moderate and high intensity earthquake levels, more than 300 strong ground motion records were selected according to their peak ground velocities (PGV) and fragility curves of precast buildings were derived according to this ground motion parameter. Analytical fragility curves of precast buildings have shown that damage probabilities of multi-story precast industrial buildings are higher than that of one-story buildings. This situation becomes more apparent especially at higher earthquake intensity levels and at higher performance limits such as extensive and collapse damage levels. Thus, it was concluded that multi-story precast industrial buildings are more fragile to seismic actions compared to one-story precast buildings.
Replacement of wheat flour by chickpea flour in muffin batter: Effect on rheological properties

The effect on rheological properties of muffin batter of replacing wheat flour (WF) with chickpea flour (CF) was studied by using viscoelastic and steady-state shear tests to characterize the physical structure and predict both processing and batter performances. CF was used to replace WF in the batter partially (25, 50, 75% w/w) or totally (100% w/w, i.e., CF-based gluten-free muffin batter), and compared with a control made only with wheat (100% WF batter). Viscoelasticity and rebuild time decreased significantly with the increase in the percentage of WF replacement. Gluten-free muffin batter had the highest viscosity after shearing reflecting a trend toward a dilatant flow behavior associated with higher intermolecular aggregation interactions due to higher protein content. Rheological properties of the batters are dominated by the starch and protein contents present in the formulations. Replacement of WF by CF also increased the number of air bubbles which were smaller. Practical Applications Gluten-free muffins should resemble those made from WF, overcoming problems of quality defects and low nutritional value. Potential for use of CF in gluten-free muffins is related to its high protein content, playing a healthy and functional role. Formulation of gluten-reduced and gluten-free muffins involves studying batter rheology and resulting baked product characteristics. Various CF-based muffin batters were formulated and rheologically characterized under small and large deformations to attain insights of structural status and mechanical behavior. Higher WF batter viscoelasticity is related to higher starch content, whereas higher CF batter viscosity after shearing correlated well with higher protein content. CF with starch content adjusted to the level of WF could decrease differences in rheological properties of batters. CF helped to incorporate air into the batter, which is essential for achieving appropriate final volume and spongy texture.
The Role of Desorptive Capacity in the Relationship of Entrepreneurial Orientation - Open Innovation Performance: The Case of the Pharmaceutical Industry

Open innovation is a young arena in research that is fascinating the attention of a growing number of scholars. However, there are not enough studies that investigate open innovation performance. The pharmaceutical industry with the most Research and Development (R&D) intensity has been targeted by this new paradigm. This study explores the effect of entrepreneurial orientation on open innovation performance, considering the mediating role of desorptive capacity, which is defined as the firm’s capability to recognize outward technology transfer opportunities and to facilitate it. We use structural equation modeling to examine the hypotheses on a dataset from 100 Iranian pharmaceutical manufacturers in 2018. The results of the study support our conceptual model. Our findings indicate that a firm’s entrepreneurial orientation and desorptive capacity have a positive effect on its open innovation performance. Moreover, desorptive capacity has a mediating effect in the relation of entrepreneurial orientation and open innovation performance. This denotes that our new model contributes to the concept of desorptive capacity in the context of open innovation.
New stimuli-responsive block random copolymers and their aggregation

Stimuli-responsive polymers and their use in biomedical applications have been widely investigated in recent years. These polymers change their physical properties such as watersolubility, when subjected to certain stimuli, for example change in temperature or pH. The main purpose of this work is to study new diblock copolymers consisting of two random copolymers, i.e., diblock random copolymers. Polymers with well-defined structures and tunable properties have been made using reversible addition−fragmentation chain-transfer (RAFT) polymerization, one of the controlled radical polymerization techniques. The blocks are made of acrylamideand/or methacrylate-based monomers, which commonly show thermo-responsiveness and hence, double stimuli-responsive behavior is shown. First, a diblock random copolymer in the form of AnBm-b-ApBq was synthesized with N-n-propylacrylamide (nPA) and N-ethylacrylamide (EA) as A and B using RAFT polymerization. Kinetic study of the copolymerization process confirmed the controlled character of the copolymerization. The diblock random copolymers with the compositions of poly(nPAx-co-EA1-x)-block-poly(nPAy-co-EA1-y) and low polydispersity were obtained. With UV-visible spectroscopy and dynamic light scattering (DLS) we investigate their thermoresponsive characteristics in aqueous solutions. Individual blocks showed tunable cloud points, and the diblock copolymer exhibited a well-separated two-step phase transition upon heating. Macromolecules in nature can often respond to a combination of external stimuli, most commonly temperature and pH, rather than a single stimulus. Therefore, a second type of diblock random copolymer in the form of AnBm-b-ApCq was synthesized by combining a pHand temperature-responsive block with another, only temperature-responsive block, producing responsiveness to multiple stimuli. This polymer with the composition of poly(nPAx-co-DEAEMA1-x)-block-poly(nPAy-co-EA1-y) where DEAEMA stands for 2diethylaminoethyl methacrylate with well-defined structure and tunable properties has also been made using sequential RAFT polymerization. The resulting diblock random
Holmium laser enucleation versus bipolar transurethral resection of the prostate in management of benign prostatic hyperplasia

Objective: To compare the efficacy and safety of Holmium enucleation of the prostate (HoLEP) versus Bipolar transurethral resection of the prostate (BTURP) in the management of benign prostatic hyperplasia. Methods: In our randomized controlled trial, 60 patients were allocated into 2 equal groups representing HoLEP and BTURP. Perioperative data were collected regarding the prostate size, post voiding residual urine (PVRU), international prostate symptom score (IPSS), peak urine flow rate (Qmax), and Quality of life affection (QoL). Operative parameters were recorded according to operative, enucleation, and resection time in addition to the volume of resected tissues and intraoperative complication. Patients were followed up at 1 and 12 months postoperative by PVRU, IPSS, Qmax, and QoL assessment. Results: Sixty patients finished our follow up period and their data were analyzed. The mean prostate size was 74.23 ± 9.58 ml and 72.6 ± 10.01 ml for HoLEP and BTURP groups respectively. Operative efficacy measures were comparable in both groups. HoLEP was associated with an earlier catheter removal time of 1.07 ± 0.25 days compared to 3.07 ± 0.78 days in the BTURP. Postoperative PSA, IPSS, QoL, PVRU, and Qmax were comparable in both groups and they both showed statistically significant improvement in the aforementioned parameters following treatment. There was no statistically significant difference between both groups regarding the complication rate. Conclusion: Both HoLEP and BTURP are safe and effective in the surgical management of benign prostatic hyperplasia. However, HoLEP has an early catheter removal, and shorter hospital stay.
A new look at Korean Canadians and the immigrant experience in Toronto as explored in Canadian media: CBC’s Kim’s Convenience

CBC’s Kim’s Convenience (2016) is a play by Ins Choi that was adapted into a TV show in October 2016. This show focuses on a Korean–Canadian family and their convenience store situated locally in Regent Park, Toronto, Ontario. The show speaks to the immigrant experience and life in Canada as described through first generation parents, and second-generation Korean Canadian children. This MRP will analyze the ways in which stereotypes are presented in Kim’s Convenience to subvert naturalized dominant negative discourses and tropes of racialized bodies, while simultaneously being used as a tool to produce counternarratives. Using Critical Discourse Analysis (CDA) as a methodological tool, this paper will explore the use of stereotypes in the portrayal of racialized accents, intergenerational conflicts, intercultural relationships, and the use of Regent Park as a setting for the show.
Artiﬁcial Neural Network Model for Decreased Rank Attack Detection in RPL Based on IoT Networks

Internet of Things (IoT) cyber-attacks are growing day by day because of the constrained nature of the IoT devices and the lack of eﬀective security countermeasures. These attacks have small variants in their behavior and properties, implying that the traditional solutions cannot detect the small mutant variations. Therefore, a robust detection method becomes necessary. One of the common attacks is routing protocol for low power and lossy network attacks, which has not been well investigated in the literature. In this paper, we propose an artiﬁcial neural network (ANN) model for detecting decreased rank attacks, which includes three phases: Data pre-processing, Feature extraction using random forest classiﬁer, and an artiﬁcial neural network model for the detection. The proposed model has been tested in multi and binary detection scenarios using the IRAD dataset. The results obtained are promising with accuracy, precision, false-positive rate, and AUC-ROC scores of 97.14%, 97.03%, 0.36%, and 98%, respectively. The proposed approach is eﬃcient and outperforms previous methods of precision, recall, and F-score metrics.