Miracle-dz/UniFAR-FTUs huggingface dataset:
A Dimensionality Reduction Algorithm for Unstructured Campus Big Data Fusion

Data modeling and dimensionality reduction are important research points in the field of big data. At present, there is no effective model to realize the consistent representation and fusion of different types of data of students in unstructured campus big data. In addition, in the process of big data processing, the amount of data is too large and the intermediate results are too complex, which seriously affects the efficiency of big data dimension reduction. To solve the above problems, this paper proposes an incremental high order singular value decomposition dimensionality (icHOSVD) reduction algorithm for unstructured campus big data. In this algorithm, the characteristics of audio, video, image and text data in unstructured campus student data are tensioned to form a sub-tensor model, and the semi-tensor product is used to fuse the sub-tensor model into a unified model as the individual student tensor model. On the basis of individual model fusion, the campus big data fusion model was segmented, and each segmented small tensor model was dimensioned by icHOSVD reduction to obtain an approximate tensor as the symmetric tensor that could replace the original tensor, so as to solve the problem of large volume of tensor fusion model and repeated calculation of intermediate results in data processing. The experimental results show that the proposed algorithm can effectively reduce the computational complexity and improve the performance compared with traditional data dimension reduction algorithms. The research results can be applied to campus big data analysis and decision-making.
Soft Robotics: Research, Challenges, and Prospects

The soft robot is a kind of continuum robot, which is mainly made of soft elastic material or malleable material. It can be continuously deformed in a limited space, and can obtain energy in large bending or high curvature distortion. It has obvious advantages such as high security of human-computer interaction, strong adaptability of unstructured environment, high driving efficiency, low maintenance cost, etc. It has wide application prospects in the fields of industrial production, defense military, medical rehabilitation, exploration, and so on. From the perspective of the bionic mechanism, this paper introduces the soft robots corresponding to insect crawling, snake crawling, fish swimming, elephant trunk, arm, etc. According to different driving modes, the soft robots can be classified into pneumatic-hydraulic driven, intelligent material driven, chemical reaction driven, and so on. The mechanical modeling, control strategy, material, and manufacturing methods of soft robot are summarized, and the application fields of soft robot are introduced. This paper analyzes the main challenges faced by the research on the key technologies of soft robots, summarizes and analyzes them, and puts forward the prospects for the future research of soft robots. The development trend of the future is to develop the soft robot with the characteristics of micro-scale, rigid-flexible coupling, variable stiffness, multi-functional, high integration, and intelligence of driving sensor control.
Ship Detection and Tracking in Inland Waterways Using Improved YOLOv3 and Deep SORT

Ship detection and tracking is an important task in video surveillance in inland waterways. However, ships in inland navigation are faced with accidents such as collisions. For collision avoidance, we should strengthen the monitoring of navigation and the robustness of the entire system. Hence, this paper presents ship detection and tracking of ships using the improved You Only Look Once version 3 (YOLOv3) detection algorithm and Deep Simple Online and Real-time Tracking (Deep SORT) tracking algorithm. Three improvements are made to the YOLOv3 target detection algorithm. Firstly, the Kmeans clustering algorithm is used to optimize the initial value of the anchor frame to make it more suitable for ship application scenarios. Secondly, the output classifier is modified to a single Softmax classifier to suit our ship dataset which has three ship categories and mutual exclusion. Finally, Soft Non-Maximum Suppression (Soft-NMS) is introduced to solve the deficiencies of the Non-Maximum Suppression (NMS) algorithm when screening candidate frames. Results showed the mean Average Precision (mAP) and Frame Per Second (FPS) of the improved algorithm are increased by about 5% and 2, respectively, compared with the existing YOLOv3 detecting Algorithm. Then the improved YOLOv3 is applied in Deep Sort and the performance result of Deep Sort showed that, it has greater performance in complex scenes, and is robust to interference such as occlusion and camera movement, compared to state of art algorithms such as KCF, MIL, MOSSE, TLD, and Median Flow. With this improvement, it will help in the safety of inland navigation and protection from collisions and accidents.
Initial Value Acceleration-Based Alternating Minimization Algorithm for Dynamic Sub-Connected Hybrid Precoding in Millimeter Wave MIMO Systems

Symmetry-based sub-connected hybrid precoding is an energy-friendly structure in wireless communications. Most of the prior work set a diagonal constraint on the analog precoder and used a randomly set matrix as the initial analog precoder, which did not match the optimal channel conditions, leading to a decrease in spectral efficiency, and some had huge complexity when calculating the digital precoder. Aiming to solve these problems, this paper proposed a low-complexity hybrid precoding algorithm based on Initial value Acceleration-based Alternating Minimization (IAAM). Leveraging the special structure of analog precoder in sub-connected scheme, we design the analog precoder through low-complexity quadratic programming and use the least square method to obtain the digital precoder. Moreover, we design a heuristic algorithm with the objective function of maximizing the effective channel gain to calculate the initial analog precoder as the starting point for alternating minimization. The simulation results show that the spectral efficiency of this algorithm is at least 17.5% higher than the existing two traditional sub-connected algorithms. Additionally, it increases energy efficiency by at least 12.8% compa with the Orthogonal Matching Pursuit (OMP) algorithm. Its algorithm convergence speed is fast, which increases with the number of RF chains.
Reversible Luminescent Switching in a [Eu(SiW10MoO39)2]13−‐Agarose Composite Film by Photosensitive Intramolecular Energy Transfer

The ability to modulate physical and chemical properties of molecular units by external stimuli constitutes the basic components for the development of ‘‘smart’’ devices and materials. [1] Light is the most widely used trigger among various external stimuli, owing to its noninvasiveness and easy modulation. [2] In particular, ﬂuorescent photoswitches have been attracting great attention because of their high sensitivity and the easy monitoring of their luminescence signals. [3] Up to date, most of the photoswitches are based on molecular dyads combining a ﬂuorescent and a photochromic component within the same skeleton. [4] The ﬂuorescent behavior of these dyads can be regulated with optical stimulations through changing conjugation, polarity, and by activating or suppressing intramolecular electron/energy transfer. Lanthanide complexes and composites as important luminescent materials are of growing interest, because their line-like emission bands and long lifetimes give them an advantage over conventional ﬂuorescent dyes, especially in biological applications. [5] However, luminescent photoswitches based on lanthanides, especially those modulated by light-sensitive intramolecular energy transfer, have not been demonstrated, to the best of our knowledge. Herein, we report an easy way to prepare transparent composite ﬁlms from [Eu(SiW 10 MoO 39 ) 2 ] 13 (cid:1) and agarose, and the luminescence of the ﬁlms can be reversibly switched using inorganic photo-chromic ligands to activate or suppress intramolecular energy transfer upon UV irradiation or heating in air. [Eu(SiW 10 MoO 39 ) 2 ] 13 (cid:1) (denoted as EuSiWMo, Scheme 1), an active component for the
The Millimeterwave Spectrum of Four Rare Ketene Isotopomers

The pure rotational spectra in the ground vibrational state of (1,2-13C)ketene, H213C=13CO, (D2,1-13C)ketene, D2C=13CO, (D2,2-13C)ketene, D213C=CO, and (D2,18O)ketene, D2C=C18O, have been observed in the frequency region 200 - 350 GHz. All the spectral lines have been measured in natural abundances with a source modulated millimeterwave spectrometer. From the measured R-branch transitions a set of rotational and centrifugal distortion constants for each isotopomer could be derived, using the Watson S-reduction formalism. Further, the rotational spectra of the two isotopomers (4,5-D)ketene, D2CCO, and (4-D)ketene, DHCCO, which were already measured several years ago, have been extended to higher J-values and higher frequencies, as it is the case for all investigated isotopomers of this work. As a result of these studies a calculation of a mass-dependent structure will be the topic of a next paper.
Anne Elizabeth Warner. 25 August 1940—16 May 2012

Anne Warner applied physiological techniques to developmental biology, elucidating the mechanisms of cell interaction and communication that pattern the early embryo. Through her determination and passion for science, she contributed crucial discoveries in the fields of muscle physiology, cellular differentiation and gap junction communication. She spent the majority of her career at University College London, which became her intellectual home and where she acquired a Royal Society Foulerton Research Professorship, becoming a highly respected and influential figure. In her work on gap junctions, Anne was the first to show that embryonic development and patterning required gap junctions, and that the restriction of junctional communication between cells played a key role in tissue differentiation. Anne excelled in her breadth of vision across research and its interdisciplinary possibilities. In 1998 she established the CoMPLEX Centre for systems biology at UCL, bringing her own group together with scientists from across the STEM subjects to build testable mathematical models of biological systems across multiple scales. Indefatigable in her capacity for leadership and committee work, she assumed an eclectic set of roles across a large span of research organizations and professional societies, and had a lifelong association with the Physiological Society. In 1984 she founded the Microelectrodes course at the Plymouth Marine Biology Laboratory, which has trained generations in the art of electrophysiology and still continues today. With uncompromisingly high standards, she inspired her mentees to be ambitious and fearless, and established postdoctoral fellowships to help the young scientists who followed after her.
Toxicity and transfer of metal oxide nanoparticles from microalgae to sea urchin larvae

Nanoparticles (NPs) contained in commercial products are released and enter into the aquatic ecosystem, posing serious possible risks to the environment and affecting the food chain. Therefore, investigating the potential toxicity of NPs on aquatic organisms has become an important issue. This study assessed the toxicity and trophic transfer of metal oxide NPs from marine microalgae (Cricosphaera elongata) to the larvae of the sea urchin Paracentrotus lividus. Larvae (24 h old) were fed on 2000 cell mL−1 48 h of microalgae contaminated with 5 mg L−1 of several metal oxide NPs (SiO2, SnO2, CeO2, Fe3O4) for 15 days. Larval viability and development were monitored from the 4-arm stage to the 8-arm pluteus stage. A significant decrease in survival was observed in larvae fed with microalgae exposed to SiO2 and CeO2 NPs. Abnormal development, characterised by skeletal degeneration and altered rudiment growth, was observed in all larvae fed with contaminated NP algae. Our findings revealed that SiO2 and CeO2 NPs exerted a toxic effect in the trophic interaction analysed, by reducing sea urchin larval viability, and all metal oxide NPs induced toxicological effects. In conclusion, metal oxide NPs may enter the food chain and become bioavailable for marine organisms, affecting their development.
Effects of Solvent on Gamma Radiation–Induced Graft Copolymerization of Acrylamide onto Poly (3-hydroxybutyrate)

In the present article the gamma radiation–induced graft copolymerization of acrylamide (AAm) onto poly (3-hydroxybutyrate) (PHB) has been carried out by the simultaneous irradiation method. The effect of different solvents on the graft reaction was investigated. The P(HB-g-AAm) thus synthesized were characterized by Fourier transform-infrared (FT-IR) spectroscopy, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), scanning electron micrography (SEM), swelling behavior, and nuclear magnetic resonance (NMR). These results are consistent with successful grafting of acrylamide onto PHB. The addition of chloroform to the grafting medium was the most effective method to increase the graft degree.
Studies on the Development of New Efficient Corrosion Inhibitors for Crude Oil Pipelines: Electrochemical Impedance Spectroscopy Results for 1,8-Naphthyridines

Five 1,8-naphthyridines were tested as corrosion inhibitors, including three non-previously reported 3-alkyl-1,8-naphthyridines. All were produced via the extended Friedlander synthesis, that for 3-alkyl-1,8-naphthyridines involves the earliest use of aliphatic alde- hydes. Fragmentation pattern in MS for 3-alkyl-1,8-naphthyridines shows a remarkable parallel with that exhibited by 3-alkylpyridines. Electrochemical Impedance Spectroscopy (EIS) was used to assess the inhibiting properties of these compounds on samples of API X52 carbon steel pipelines immersed in oilfield-related water. Except for one of the molecules tested, the inhibition efficiency (IE%) values were significantly higher than that calculated for a reference com-
Innovation Of Arranged Input In Foreign Language Acquisition At Indonesian Pesantren

Language acquisition in Pesantren is handicapped by the system and environmental rule, providing arranged input to help students acquire targeted language. Various ways are used in providing these arranged inputs. This research explores a brief literatures review on the definition, significance and characteristic of input in language acquisition and deploys it to drive innovations in designing arranged input in Indonesian Pesantren. Some existing innovations are also mentioned, analyzed and commented to lead into better practical advantages.
MetAcsl : Speci(cid:28)cation and Veri(cid:28)cation of High-Level Properties

Modular deductive veri(cid:28)cation is a powerful technique capable to show that each function in a program satis(cid:28)es its contract. However, function contracts do not provide a global view of which high-level (e.g. security-related) properties of a whole software module are actually established, making it very di(cid:30)cult to assess them. To address this issue, this paper proposes a new speci(cid:28)cation mechanism, called meta-properties. A meta-property can be seen as an enhanced global invariant speci(cid:28)ed for a set of functions, and capable to express predicates on values of variables, as well as memory related conditions (such as separation) and read or write access constraints. We also propose an automatic transformation technique translating meta-properties into usual contracts and assertions, that can be proved by traditional deductive ver-i(cid:28)cation tools. This technique has been implemented as a Frama-C plugin called MetAcsl and successfully applied to specify and prove safety-and security-related meta-properties in two illustrative case studies.
MALARIA: PLASMODIUM TYPE DIFFERENCE IN PATIENTS SUFFERING FROM MALARIA

: Background: Frequency of malaria infection has been changed in region according to environmental factors and diseases. Plasmodium falciparum and vivax are both common in the areas where malaria is frequent. Studies suggest the management validity according to plasmodium type in disease. Objective: The primary goal of study is to find out the plasmodium difference of malaria. Design: This study was cross sectional. Setting: The current study was performed at medical department of Peoples Medical College Hospital Nawabshah in between April 2017 to December 2017. Sample Size: After achieving the selection standards a total of 385subjects from either gender having malaria were recruited. Material and Methods: Variables such as age, gender, malarial features, and presence of malarial parasite and type of plasmodium in patients were analyzed after a brief discussion with patients. All the subjects were clinically examined for diagnosis of malaria. Thick and thin Geimsa stains were prepared to identify the type of plasmodium in the collected samples. Results: In 385 diagnosed patients of malaria, 208 (54.0%) male and 177 (46.0%) were females. Plasmodium typing/grouping was done and different groups were analyzed in malarial parasite positive. Plasmodium falciparum was observed in 225 (58.4%), plasmodium vivax observed in 156 (40.5%) subjects, plasmodium malaria observed in 04 (01%) cases and plasmodium ovale observed in 0% cases. Conclusion: The plasmodium falciparum was common plasmodium causing malaria .
An Analysis of Interpersonal Metaphor in Emma

Interpersonal metaphor is an aspect of Halliday’s Systemic Functional Grammar and is mainly realized by metaphors of mood and metaphors of modality. In recent years, some scholars in China have explored interpersonal metaphor in texts like advertisements, news, and speeches. But little research has been done on the function of interpersonal metaphors in character utterances in a novel. Therefore, this study uses systematic statistics and classification to analyze the employment of interpersonal metaphor in the speech of the protagonist Emma in the novel of the same name to reveal her character and social skills and thus show the meaning of interpersonal metaphor in communications. All Emma’s utterances in the novel are collected and those containing interpersonal metaphors are selected, classified, and analyzed. The study demonstrates that interpersonal metaphors abound in Emma’s interactive communications and perform different communicative functions. The analysis of the interpersonal metaphors in Emma’s speech reveals that Emma is smart, decent, and polite, but she sometimes also behaves in a strong-willed, prejudiced, and self-centered way. This study demonstrate the explanatory power of interpersonal metaphor, providing a new appreciation of Emma and other literary works, as well as providing a reference for adopting suitable strategies in communications.
The relationships between dynamic balance and sprint, flexibility, strength, jump in junior soccer players

Purpose: The present study aimed to investigate the relationships between sprint, flexibility, upper extremity strength and Star Excursion Balance Test performances in soccer players aged 12–14 years. Material: Eighteen junior soccer players (mean age, 9.78 ± 1.6 years; height, 139.5 ± 11.0 cm; weight, 34.3 ± 9.9 kg; BMI, 17.3±2.9; leg length; 63.7±5.9 cm) participated in this study voluntarily. They were training 2 or 3 times a week with the addition of one match per month and none of them had reported injuries or diseases related to sports. After measuring the anthropometrics of the subjects, they were familiarized with the test procedures. Measurements included handgrip strength (HD), 30 sc. sit-ups (SU), standing long jump (SLJ), Countermovement jump (CMJ) and 20m-Sprint tests as independent variables, and Star Excursion Balance Test (SEBT) as dependent variables. Then, statistical analysis was applied to the data transferred to SPSS 24.0 Packet program. Results: The inconsistent correlations between variables of SEBT and selected parameters were found. The strongest significant relationships of the variables of SEBT with selected variables were observed between anterolateral (AL) and SU (r=646, p<0.05), and between posteromedial (PM) and Sprint (r=-650). No significant correlations were observed between variables of dynamic balance and CMJ, SLJ, Relative Handgrip Strength (RHS). Conclusions: As a result, strength and power performances may not necessarily be related to impaired balance directly in young soccer men. Moreover, low back flexibility may have negative or positive influences on dynamic balance.
Entropy Analysis of Univariate Biomedical Signals: Review and Comparison of Methods

Nonlinear techniques have found an increasing interest in the dynamical analysis of various kinds of systems. Among these techniques, entropy-based metrics have emerged as practical alternatives to classical techniques due to their wide applicability in different scenarios, specially to short and noisy processes. Issued from information theory, entropy approaches are of great interest to evaluate the degree of irregularity and complexity of physical, physiological, social, and econometric systems. Based on Shannon entropy and conditional entropy (CE), various techniques have been proposed; among them, approximate entropy, sample entropy, fuzzy entropy, distribution entropy, permutation entropy, and dispersion entropy are probably the most well-known. After a presentation of the basic information-theoretic functionals, these measures are detailed, together with recent proposals inspired by nearest neighbors and parametric approaches. Moreover, the role of dimension, data length, and parameters in using these measures
An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection

Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the key producing crop in Bangladesh. In the last 11 years, the part of agriculture in Bangladesh's Gross Domestic Product (GDP) was contributing about 15.08 percent. But unfortunately, the farmers who are working so hard to grow this crop, have to face huge losses because of crop damages caused by various diseases of paddy. There are approximately more than 30 diseases of paddy leaf and among them, about 7-8 diseases are quite common in Bangladesh. Paddy leaf diseases like Brown Spot Disease, Blast Disease, Bacterial Leaf Blight, etc. are very well known and most affecting one among different paddy leaf diseases. These diseases are hampering the growth and productivity of paddy plants which can lead to great ecological and economical losses. If these diseases can be detected at an early stage with great accuracy and in a short time, then the damages to the crops can be greatly reduced and the losses of the farmers can be prevented. This paper has worked on 4 types of diseases and one healthy leaf class of the paddy. The main goal of this paper is to provide the best results for paddy leaf disease detection through an automated detection approach with the deep learning CNN models that can achieve the highest accuracy instead of the traditional lengthy manual disease detection process where the accuracy is also greatly questionable. It has analyzed four models such as VGG-19, Inception-Resnet-V2, ResNet-101, Xception, and achieved better accuracy from Inception-ResNet-V2 is 92.68%.