Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Vision-Based Prediction of Lettuce Phytomorphological Descriptors using Deep Learning Networks

Optimizing crop production is one of the significant advances in urban agriculture and biosystems engineering. This deals with providing possibilities of year-long plant-based food supply in an efficiently limited space or environment; to cater the increasing demand of population necessities. The study to be discussed contributes on a novel methodology on optimizing lettuce production in a smart aquaponics setup by predicting its phytomorphological features _ deemed to be a noteworthy factor for plant phenomics research. Pre-trained deep learning-based networks were customized to train the machine vision-based feature extracted data. The data comprised of the phytomorphological attributes of leaf lettuce, to be predicted by the model through regression, thus setting them as the system's response data. The phytomorphological features considered in the study are the area, centroid, major and minor axis length, and equivdiameter. The sole predictor data will be the raw and resized images gathered. Evaluation shows that DarkN et-53 was the best network used for modelling area prediction with an R2 value of 0.99. For x and y centroids, Xception was the best estimator, yielding R2 values of 0.64 and 0.72 respectively. InceptionResN etV2 derived the highest-performing axis length prediction models with R2 values of 0.82 for the major axis length while 0.75 for the minor. Equivdiameter with the highest R2 value of 0.98 was obtained with DarkN et-53.
A Synchrophasor Data Compression Technique With Iteration-Enhanced Phasor Principal Component Analysis

The phasor data were compressed as separated amplitudes and phases in previous synchrophasor data compression techniques. To utilize the spatial correlation and temporal continuity of synchrophasors for data compression, a phasor principal component analysis (PPCA) in the field of complex numbers is proposed to compress synchrophasors as a whole in this article. Then, an iterative phasor principal components selection method is proposed to achieve PPCA and ensure the accuracy of reconstructed data since the existing eigenvalue-based criteria are not suitable for data compressions. Moreover, the proposed PPCA is enhanced by an iteration-based process to reduce the computation of PPCA. Actual PMU data measured under both a low-frequency oscillation incident and a two-phase short circuit incident conditions are used to verify the performance of PPCA compared with a recent PCA-based compression method. The results demonstrate that PPCA achieves higher compression ratios with better accuracy of reconstructed data, significantly reduced computation, and better real-time performance under both conditions.
Fast Distributed Simulation of “Defect-Irrelevant” Behaviors of No-Insulation HTS Coil

This paper proposes a new equivalent circuit model to calculate current distribution in an NI (no-insulation) high temperature superconductor (HTS) coil that contains a defect. When the well-known defect irrelevant behaviors of an NI HTS coil are analyzed, the so-called partial element equivalent circuit (PEEC) technique has been commonly adopted. However, the PEEC technique often takes an extremely long time, days or even weeks, for just a single simulation depending on the number of internal elements within the target NI coil. Here we propose an alternative method that may substantially reduce computation time and load in distributed simulation of the defect-irrelevant behaviors of an NI HTS coil. We showed that the current sharing region of an NI coil containing a defect could be divided into 5 segments, and an equivalent circuit, which is named “B model” as the equivalent circuit resembles the alphabet “B,” could be constructed using circuit parameters in each segment. Using the proposed method that significantly simplifies the existing PEEC model, we successfully simulated the defect-irrelevant behaviors of an NI HTS single pancake coil, essentially the local current sharing between the defect spot and its healthy neighboring turns.
Studies on the activated carbon replacement by zeolite Na-X in the gas purification system of 1000 MWe nuclear power plant to improve nuclear safety

The importance of the passive safety systems in nuclear power plants (NPP) was evidenced by the consequences of the Fukushima accident in 2011. The uptake of radioactive gases released under nuclear accidents via physical and chemical adsorption is well established into the practice. The most studied solids as adsorbents in radioactive gas decontamination systems are zeolites due to their radiation stability, non-flammability, high adsorption capacity obeyed by their developed surface, and strong affinity toward radionuclides, which can be controlled by impregnation with metals. In this study, the comparative analyses onto surface properties of the synthetic zeolite Na-X and the activated carbon used as adsorbent in 1000 MWe nuclear power plant are performed. The two investigated materials possess the similar textural properties, which is a prerequisite for the possibility of replacing activated carbon by zeolite Na-X, which is characterized by thermal resistance over 700°C compared to flammable carbon at lower temperature. Retention time calculations show that replacing the existing adsorbent with Na-X would reflect a 30 % increase in material weight, which could be implemented to the existing gas purification system.
Review of progress in Artificial General Intelligence and Human Brain inspired Cognitive Architecture

General Intelligence has been the broader and realistic goal of Artificial Intelligence (AI). The progress in general AI has been unimpressive in comparison with the Narrow AI systems. This paper aims to review a Human Brain inspired Cognitive Architecture and present the aspects of the architecture. The critical aspects of the architecture such as Storage, Processing, Sensory have been discussed in the paper and it would boost the understanding of our Human brain and how Cognition takes place. Cognitive abilities are an important part of the architecture, hereby we will discuss and compare the five basic human sensory organs with available digital sensors or devices resembling our five basic senses. There have been many hurdles in the pathway of general AI, we will analyse the challenges faced by the researchers in developing General Intelligent models. As we know the invention of General AI will be most promising event in the history thus we will explore the opportunities in General AI systems. This study shall provide guiding path towards General Intelligence and shall enlighten the path towards human brain inspired Cognitive architecture.
Research on Purchase Intention of Fresh Agricultural Products Based on TAM Model in Pre-sale Mode

In the online pre- sale mode, based on TAM technology acceptance model, this paper introduces perceived risk, defines external variables as agricultural product quality, consumer characteristics, platform characteristics, and constructs the relationship model among external variables, perceived usefulness, perceived ease of use, perceived risk and purchase intention. Research results show that the quality of fresh agricultural products were significant positive and negative impact on perceived usefulness and perceived risk, consumer traits were significant positive and negative impact is easy to use and perceived risk, platform features significantly positive influence on perceived ease of use and perceived usefulness, consumers of network opens to booking a perceived ease of use and perceived usefulness of fresh agricultural products is significantly positive influence on purchase intention. Therefore, from the perspective of consumers, it is of great significance to improve the quality of agricultural products by using the advantages of the pre-sale model to promote the sales of fresh agricultural products.
Research on the influence of corporate privacy responsibility on consumer discontinuous usage behavior based on the Power-responsibility equilibrium(PRE) theory and SOR model

Based on the Power-responsibility equilibrium (PRE) theory and SOR model, a theoretical model with consumer privacy concern and privacy empowerment as mediating variables was constructed to explore the interaction mechanism between the performance of privacy responsibility of rights holders (corporates) and consumers' discontinuous usage behavior. The empirical results show that: the corporate privacy responsibility has a significant negative impact on discontinuous usage behavior; consumer privacy concern and privacy empowerment play a mediating role in the influence path between corporate privacy responsibility and discontinuous usage behavior. In order to reduce customer churn, companies need to further assume privacy responsibility to improve consumer privacy empowerment and reduce consumer privacy concerns.
Core-Stateless Forwarding With QoS Revisited: Decoupling Delay and Bandwidth Requirements

Network QoS, fairness and resource sharing control are not completely solved problems. Available solutions lack scalability due to maintaining flow state, require re-tuning if traffic changes, focus on a limited set of networking scenarios or require complex, centralized controllers and feedback loops. In this paper, we propose a core-stateless solution for closed network domains like access, enterprise and data center networks that handles resource sharing and provides guarantees for per-hop latency, independently. The proposed method enables controlled resource sharing by encoding the utility function of flows to Packet Value markings. This allows expressing resource sharing policies for all possible congestion situations, while operation is completely flow unaware inside the network. In addition, it also satisfies per-hop delay requirements for traffic flows independently. The separation of the delay requirements of the packets from their importance has not generally been possible by existing methods so far. The performance of the proposed method has thoroughly been analyzed by large number of simulations covering both static and dynamic scenarios and was implemented in a cloud-native virtual router implementing all the policies needed for a Broadband Network Gateway, showing good performance and better scalability than existing weighted queuing-based solutions.
A reversible data hiding approach based on filter selection

In prediction-error-expansion and pixel sorting based reversible data hiding (RDH) works, only part of the neighboring pixels are used in pixel prediction and local complexity calculation. To fully exploit the local correlations, we propose a novel efficient RDH using filter selection. Firstly, we divide the cover image into multiple non-overlapping layers following the concept of image down-sampling. Then data is embedded in a layer-wise manner. For data embedding, the prediction-error and the local complexity are estimated using the idea of block-based image filtering, the related techniques of which have been widely studied in the area of image processing. Experimental results validate the applicability of the proposed work in the perspectives of both embedding capacity and image qualitv.
Multifeature Selective Fusion Network for Real-Time Driving Scene Parsing

Real-time driving scene parsing using semantic segmentation is an essential yet challenging task for an autonomous driving system, where both efficiency and accuracy need to be considered simultaneously. In this article, we propose an efficient and high-performance deep neural network called feature selective fusion network (FSFnet) for robust semantic segmentation of road scenes. Since the complex driving scene parsing usually requires the fusion of features in different levels or scales, we propose a feature selective fusion module (FSFM) to adaptively merge these features by generating correlated weight maps in both spatial and channelwise. Furthermore, a multiscale context enhancement module is designed based on an asymmetric nonlocal neural network to aggregate both multiscale and global context information. The proposed FSFnet obtains precise segmentation results in real time on Cityscapes and CamVid data sets. Specifically, the architecture achieves 77.1% mean pixel intersection-over-union (mIoU) on the Cityscapes test set at a speed of 53 frames per second (FPS) for a <inline-formula> <tex-math notation="LaTeX">$1024\times 2048$ </tex-math></inline-formula> input and 75.1% mIoU on the CamVid test set at a speed of 123 FPS for a <inline-formula> <tex-math notation="LaTeX">$960\times 720$ </tex-math></inline-formula> input on a single NVIDIA 2080 TI GPU.
Advances in research on the regulation mechanism of hepcidin in sepsis related anemia

Advances in research on the regulation mechanism of hepcidin in sepsis related anemia Li Fu-Xing, Xie Ke-Xin, Zhang Yu-Lin, Zhao Wei-Dong Clinical Medical College, Dali University, Dali, Yunnan 671000, China Corresponding author, E-mail: wdzhao@dali.edu. cn This work was supported by the National Natural Science Foundation of China (81960363), the Doctoral Scientific Research Foundation of Dali University (KYBS201721), and the Foundation of Yunnan Provincial Department of Education (2019Y0284) [Abstract] Sepsis remains an area of concern and focus of investigations in the medical community. The patients with sepsis often develop anemia, which may substantially increase the difficulty of treatment in septic patients. Hepcidin plays a crucial role in the regulation of iron homeostasis. Dysregulation of hepcidin has been implicated in the occurrence and development of several diseases. This review summarizes the characteristics of iron metabolism, the regulation of hepcidin and the key findings of the clinical studies targeting anemia in septic patients. Understanding underlying pathogenic mechanisms of hepcidin in sepsis-related anemia will contribute to the development of rational therapeutic strategies. [Key words] sepsis; sepsis-related anemia; iron metabolism; hepcidin 铁调素在脓毒症相关性贫血中的研究进展
Auditing the Siting of Petrol Stations in the City of Douala, Cameroon: Do they Fulfil the Necessary Regulatory Requirements?

Article history: Received: 23 November, 2020 Accepted: 09 January, 2021 Online: 28 January, 2021 No other form of technological development had negatively skewed from existing regulations as the siting of petrol filing stations. An audit of the degree to which their operators repeatedly violate the rules regulating their location and operations may encourage the legislature to pass laws that can ensure a balance between the economy and the environment. This study helps to fill this gap, by analyzing the degree to which the siting of local filling stations meets standard norms, taking Cameroon's district municipalities of Douala as an example. In order to achieve this goal, the current regulations structuring the filling station locations were carefully reviewed. Subsequently, key compliance factors were identified, operationalized, and an audit checklist was developed. Other data collection tools included a structured questionnaire designed to capture the views of neighboring communities on the possible risks to their health, land, and therefore to the environment presented by the station, and a global positioning system receiver for the collection of spatially explicit data. The nearest neighbourhood Index, (Rn) in ArcGIS10.3. 1 environment was used to assess the distribution pattern of the stations. Questionnaire data was analysed using SPSS20.0. It is revealed that the distribution pattern of the 152 stations surveyed is mostly random in Douala I (Rn = 0.8573), Douala III (Rn = 0.9879), Douala IV (Rn = 0.6984), and, dispersed in Douala II (Rn = 1.7837) and Douala V (Rn = 1.5764) district municipalities. While most of them, 94 (61.84%) were within the minimum 500 m radius from one another as specified by laws, 99.34% of them didn't conform with the recommended minimum distance of 7m from the centre of a major road, and the 400m radius from residential areas. The results suggest that the siting of petrol stations in the city neglect the hazards accompanying them. The database created in this study could provide a platform to policy makers for appropriate actions.
Management Letters / Cuadernos de Gestión

This study analyses the factors that users of consumer-to-consumer (C2C) commerce value as direct influences in the intention to use and the acceptance of a marketplace. An empirical model is formulated, which integrates three variables that evaluate trust and, in turn, other variables that influence C2C intention and purchases, taking a sample of 686 surveys gathered using the Internet in Colombia. The results show that trust is a fundamental factor in this type of electronic commerce in Colom-bia, given that C2C users seek intermediation pages with third-party recognition (TPR) and high web quality; similarly, key variables in the adoption of this type of commercial platform include finding low prices and social influence. The perception of trust in this type of electronic commerce is a broader concept that requires the analysis of psychosocial factors. For companies that manage mar-ketplaces, this study allows them to focus on key actions and tools in their websites. This study allows one to get to know the users of this transactional system, specifically for the Latin American region, highlighting the variables that they most consider when engaging in direct commerce between people. The results show that C2C requires marketplaces that guarantee the necessary conditions for a purchase/sale transaction with trust and quality.
Applications of Memristors in Neural Networks and Neuromorphic Computing: A Review

Memristor is one of the best choices for neuromorphic computing because of its synapse-like structure and function. The single memristor with ion dynamics enables emulations of diverse synaptic plasticity significant for learning and memory. Moreover, several memristive crossbar arrays show low power consumption, high precision and high efficiency on physically achieving algorithmic functions. Although a large number of experiments have demonstrated great potential of memristive devices in the field of computer architecture design and integrated circuits, there is still a long way to go for their practical industrialization. This review concentrates on the application and function of memristors, as well as some critical challenges and perspectives on their future development.
Determining sedimentary material sources in a Brazilian urban lake using Zn stable isotope compositions of bottom sediments: a preliminary study

Zinc isotopes ratios provide qualitative and quantitative information about contributions from different Zn sources in the environment. Here we present the results of a preliminary study to identify the main sources controlling Zn isotope signatures of sediments from Lake Paranoá (Brazil), an urban water reservoir. The Zn isotope ratios were measured by MC-ICP-MS and expressed as δ66/64Zn notation relative to the JMC 3-0749-L solution. The studied sediments showed a narrow isotopic range (+0.00 to +0.13 ‰; n = 10) similar to that reported for intensely weathered soils worldwide (from -0.4 to +0.2‰). The geoaccumulation index (Igeo) also suggests low or negligible influence of Zn anthropogenic source. This research provides a baseline assessment of the Zn isotopes signatures in lake sedimentary environments under the influence of these weathered soils.
DIETARY INTAKE OF CALCIUM, MAGNESIUM AND POTASSIUM IN RELATION TO BLOOD PRESSURE: TEHRAN LIPID AND GLUCOSE STUDY

(! )* + ! , : & . / ) 0 0 1 / ' 2 3 4 $ 3 5 $ 0 6 . 8 9: 0 6 0;< (! . + 6 ( = > ? $ 0 6 ! : . +&# ' @! 6 , % , / 4 , 4 ! 6 . ( > 0 + B . 6 = : / ! " # ! $ %&# ' , CDEF 0G / H: I 4 / 4 J K L + M ;N 0 6 ! :! . O P : . 4 / ! / ( H ;N 0 6 QD O 9 R S / 0 T % 3 4 > U V . 4 : 0W : (EI) + BMR ! + X = > Y ( = > ( ) + [ EI: BMR / 1 I\ / C 0 D / Q ( ! :! . @;_ +&# ' / . ( J ` / ( H 0 6 = a L 0 (/ ! : ! : ! . 0 > . U V + 0 / G 0 b # mmHg CDF b # / G 0 mmHg cF ! . d & . cD ! : 0 + B H: . % , / CFD H: e: / + & L , f J , / , :! g % 1: , 16 ( > 0W : : (! . 0/ L + ! :! . O P : K . + 6 : R: ± [ + & L G & @ X: C\ ± DQ C\ ± DC M . R: , & L 6 0 + B 6 ! . + V , / 1 ( . + , 0 1 0 + B ! : ( 4 & L ) [ + Q\i ± iCC 2 , mg/d QEi ± EEC jFj ± QDiC 2 , mg/d icC ± QEDF , FC / F < p 6 0 ( J ( > H e: / 4. ! : . ! , Y + b # b # ! , / # _ ! . +' * + ! : (! 0 . +9 : 0 > : + l )& / _ 6 4 . +' 0 ! : (! +&# ' .
Assessment of lead and zinc phytoaccumulation potential of some selected ornamental plants

Lead and Zinc phytoaccumulation potential of eight ornamental plants Begonia sarmentacea Brilmayer, Bidens sulphurea Sch. Bip. , Episcia cupreata Hanst. , Impatiens walleriana Hook.f. , Kalanchoe blossfeldiana Poelln, Tagetes erecta L. , Tradescantia spathacea Sw. and Turnera subulata Sm. were analyzed using atomic absorption spectrophotometry. It was found that, among the selected plants Begonia sarmentacea Brilmayer accumulated the highest amount of Lead and Episcia cupreata Hanst. accumulated the highest amount of Zinc. Concentration of Lead in acid dissolved dry plant material of Begonia sarmentacea was 16.61mg/kg and that of Zinc in Episcia cupreata was 36.72mg/kg. The study revealed that B.sarmentacea and E.cupreata were capable of removing the heavy metal contaminants, Lead and Zinc respectively from polluted soil, suggesting their potential for the reclamation of lands contaminated with these heavy metals.
Facile Synthesis and Characterization of Some New 5-ethylidene-Thiazolidine-2,4-diones and their Antimicrobial Evaluation

A series of novel 5-ethylidene-thiazolidine-2,4-diones derivatives were synthesized by the knoevenagel condensation of aromatic ketone and N-substituted thiazolidinedione-2,4-diones. Use of KAl(SO4)2•12(H2O) i.e. Alum for the reaction makes this synthesis facile because of the some advantageous impacts viz. nontoxicity, efficient catalytic ability and lower cost of alum. Substitution of arylidene moiety at the position 5 on the thiazolidine-2,4-diones nucleus was carried out in this facile approach. Synthesized derivatives were characterized using various analytical tools and antimicrobial evaluation thereof was performed against Gram-positive, Gram negative bacteria and a fungal strain. All synthesized compounds showed moderate to very good activity against the microorganisms that they were tested for.
CHARACTERIZATION OF YEASTS ISOLATED FROM DIFFERENT SOURCES AS PROBIOTICS

Probiotics are living microorganisms which are similar to beneficial microorganisms found in the human gut. These microorganisms can be taken as dietary supplements or as food products provides positive effect to the host. In the present study, soil, milk and curd samples were used as source for the isolation of probiotic yeast. The isolates were checked for the probiotic properties such as antimicrobical production, pH & temperature tolerance, NaCl tolerance, cell adhesion, bile tolerance and cholesterol removal. Initially, twelve yeasts were isolated from each of the three different sources and characterization tests were performed. Among the 12 isolates, M1 showed maximum activity in all characterization tests and the conditions optimized are temperature (350C), pH (3 & 7) and salt tolerance (5% of NaCl) for the growth of the probiotics. It can be used as a major food supplements and also with high nutritive value for human.