Miracle-dz/UniFAR-FTUs huggingface dataset:
Impedance Measurement and Detection Frequency Bandwidth, a Valid Island Detection Proposal for Voltage Controlled Inverters

Anti-islanding detection methods have been part of a secure operation for distributed energy resource inverters, avoiding the creation of non-intentional energization when the mains are lost. These detection mechanisms were conceived historically for current-controlled inverters. New control possibilities have broken ground, and current- or voltage-controlled inverters are a reality; however, special attention must be paid to detection strategies when applied to the latter ones. This paper addresses two topics: it exposes the lack of effectiveness of those detection algorithms based on the voltage/frequency displacement concept under voltage-controlled inverters and evaluates the applicability limits of the others based on the impedance measurement (IM). The IM is presented as a valid mechanism to achieve the islanding detection, but the exploration of its limits drives the concept of detection frequency bandwidth (DFBW), introduced in this paper. The DFBW is suggested as a practical approach to select the proper injection frequency to measure. Therefore, an improved strategy based on the IM and DFBW is proposed to allow achieving the detection towards (non-)resonant loads considering low computational burden. The results were experimentally validated in a 90-kVA four-wire voltage-controlled inverter, offering detection times of less than 100 ms in any case.
LncXIST Facilitates Iron Overload and Iron Overload-Induced Islet Beta Cell Injury in Type 2 Diabetes through miR-130a-3p/ALK2 Axis

Iron overload is directly associated with diabetes mellitus, loss of islet beta cell, and insulin resistance. Likewise, long noncoding RNA (lncRNA) is associated with type 2 diabetes (T2D). Moreover, lncRNAs could be induced by iron overload. Therefore, we are going to explore the molecular mechanism of lncRNA XIST in iron overload-related T2D. Real-time quantitative PCR and Western blot were used to detect gene and protein levels, respectively. TUNEL and MTT assay were performed to examine cell survival. The glucose test strip, colorimetric analysis kit, ferritin ELISA kit, and insulin ELISA kit were performed to examine the levels of glycolic, iron, and total iron-binding capacity, ferritin, and insulin in serum. Fluorospectrophotometry assay was used to examine labile iron pool level. XIST was higher expressed in T2D and iron overload-related T2D rat tissues and cells, and iron overload-induced promoted XIST expression in T2D. Higher XIST expression was associated with iron overload in patients with T2D. Knockdown of XIST alleviated iron overload and iron overload-induced INS-1 cells injury. Further, we found that XIST can sponge miR-130a-3p to trigger receptor-like kinase 2 (ALK2) expression. Moreover, knockdown of ALK2 alleviated iron overload and iron overload-induced INS-1 cells injury by inhibiting bone morphogenetic protein 6 (BMP6)/ALK2/SMAD1/5/8 axis but reversed with XIST upregulation, which was terminally boosted by overexpression of miR-130a-3p. XIST has the capacity to promote iron overload and iron overload-related T2D initiation and development through inhibition of ALK2 expression by sponging miR-130a-3p, and that targeting this axis may be an effective strategy for treating patients with T2D.
CuCo2S4@B,N-Doped Reduced Graphene Oxide Hybrid as a Bifunctional Electrocatalyst for Oxygen Reduction and Evolution Reactions

In this report, a facile synthetic route is adopted for typically designing a hybrid electrocatalyst containing boron, nitrogen dual-doped reduced graphene oxide (B,N-rGO) and thiospinel CuCo2S4 (CuCo2S4@B,N-rGO). The electrocatalytic activity of the hybrid catalyst is tested with respect to oxygen evolution (OER) and oxygen reduction (ORR) reactions in alkali. Physicochemical characterizations confirm the unique formation of a reduced graphene oxide–non-noble-metal sulfide hybrid. Electrochemical evaluation by cyclic voltammetry (CV) and linear-sweep voltammetry (LSV) reveals that the CuCo2S4@B,N-rGO hybrid possesses enhanced ORR and OER activity compared to the B,N-rGO-free CuCo2S4 catalyst. The synthesized CuCo2S4@B,N-rGO hybrid demonstrates remarkable enhancement in catalytic performance with an improved onset potential (1.50 and 0.88 V) and low Tafel slope (112 and 73 mV dec–1) for both OER and ORR processes, respectively. In addition, the catalyst exhibits a diminutive potential difference (0.81 V) between the potential corresponding to the 10 mA cm–2 current density for OER and the half-wave potential for ORR. The superior catalytic activity and high durability of the hybrid material may be attributed to the synergistic effect arising from the metal sulfide and dual-doped reduced graphene oxide. The present study illuminates the possibility of using the dual-doped graphene oxide and metal sulfide hybrid as a competent bifunctional cathode catalyst for renewable energy application.
Does IS0 9001 quality management system support product innovation? An analysis from the sociotechnical systems theory

Purpose Building on the sociotechnical systems theory (STS), the purpose of this paper is to investigate the direct impacts of the social and technical QMs (ISO 9001) practices on both incremental and radical product innovation and the direct relationships relaying QMs (ISO 9001) as a sociotechnical system with incremental and radical product innovation. Design/methodology/approach The paper opted for a survey instrument to collect quantitative data from 82 Moroccan certified ISO 9001 firm. A partial least squares structural equation modeling (PLS-SEM) was used to test the research hypotheses. Findings Results show that the social and technical QMs (ISO 9001) practices do not have a significant relationship with incremental and radical product innovation when they are taken in isolation. However, when ranged together to constitute a whole sociotechnical system of QMs (ISO 9001), QMs (ISO 9001) prove to have a strong positive and significant impact on incremental product innovation and a weak positive and significant impact on radical product innovation. Research limitations/implications Because of the small sample size that might weaken the significance of the results and the use of cross-sectional data, this research may lack a large statistical generalizability vis-à-vis the analytical generalization. Practical implications The results provide useful implications for managers, suggesting that in order to develop their product innovation, they must ensure that both QMs (ISO 9001) social and technical practices achieve a high level of integration without allowing some quality practices to take over. Originality/value Based on the STS, this study is the first to focus primarily on the role of the multi-dimensional structure of QMs (ISO 9001), i.e. social and technical practices, in incremental and radical product innovation.
Kinship identification using age transformation and Siamese network

Facial images are used for kinship verification. Traditional convolutional neural networks and transfer learning-based approaches are presently used for kinship identification. The transfer-learning approach is useful in many fields. However, it does not perform well in the identification of humans’ kinship because transfer-learning models are trained on a different type of data that is significantly different as compared to human face image data, a technique which may be able for kinship identification by comparing images of parents and their children with transformed age instead of comparing their actual images is required. In this article, a technique for kinship identification using a Siamese neural network and age transformation algorithm is proposed. The results are satisfactory as an overall accuracy of 76.38% has been achieved. Further work can be carried out to improve the accuracy by improving the Life Span Age Transformation (LAT) algorithm for kinship identification using facial images.
Protection and Planning of Historic Districts Based on Internet of Things Perception

With the development of the Internet of Things era, the Internet of Things technology has been gradually accepted by people and gradually entered the category of block management, but the specific practical application scope is not wide enough. At present, the community management of residents in blocks generally adopts closed management, and there are some problems such as insufficient scope of property management, weak strength, and serious waste of human resources. Incomplete development of the hidden value is of cultural tourism blocks. At the same time, there are still some problems in the traffic management of blocks, such as incomplete monitoring scope and weak supervision. Therefore, this study proposes a bilevel programming model to solve the optimization scheme of block road network, adopts the complete information game model to analyze the imbalance between property and residents, and adopts the AHP fuzzy evaluation method to detect the current life happiness coefficient of urban residents and collect residents' suggestions for the future planning of historical blocks. Because the perception layer of the Internet of Things has the advantages of rapidity, accuracy, and unmanned operation, it can contribute a practical force to the protection and planning of historical blocks quickly and at low cost.
The intestinal microbiota influences the microenvironment of metastatic colon cancer by targeting miRNAs

Abstract This study aimed to investigate the molecular mechanisms through which the intestinal microbiota and microRNAs (miRNAs) participate in colon cancer metastasis. Intestinal flora data, and the GSE29621 (messenger RNA/long non-coding RNA [mRNA/lncRNA]) and GSE29622 (miRNA) datasets, were downloaded from The Cancer Gene Atlas and Gene Expression Omnibus databases, respectively. Immune-related cells in M1 vs. M0 samples were analyzed using the Wilcoxon test. Furthermore, an lncRNA-miRNA-mRNA (competing endogenous RNA [ceRNA]) network was constructed, and survival analysis of RNAs in the network was performed. A total of 16 miRNA-genus co-expression pairs containing eight microbial genera and 15 miRNAs were screened; notably, Porphyromonas and Bifidobacterium spp. were found to be associated with most miRNAs, and has-miR-3943 was targeted by most microbial genera. Furthermore, five immune cell types, including activated natural killer cells, M1 macrophages, resting mast cells, activated mast cells and neutrophils, were differentially accumulated between the M1 and M0 groups. Enrichment analysis suggested that mRNAs related to colon cancer metastasis were mainly involved in pathways related to bacterial and immune responses. Survival analysis revealed that TMEM176A and PALM3 in the ceRNA network were significantly associated with the prognosis of patients with colon cancer. In conclusion, this study revealed a potential mechanism by which the intestinal microbiota influences the colon cancer microenvironment by targeting miRNAs.
Societal participation in ehlers-danlos syndromes and hypermobility spectrum disorder, compared to fibromyalgia and healthy controls

Ehlers-Danlos syndrome and hypermobility spectrum disorder affect daily life. There is a lack of research that investigates how the disease affects aspects of participation. This study investigates whether there is a difference in the level of participation in society in persons with vascular EDS (N = 18), hypermobile EDS (N = 20), classical EDS (N = 4) and Hypermobility Spectrum Disorder (N = 27), compared to a healthy control group (N = 69) and fibromyalgia (N = 69). In this retrospective case-control study, the Ghent Participation Scale was completed by all participants. Each patient with EDS and HSD was matched by age and sex to healthy controls. The hEDS and HSD group were compared with the healthy control group and a positive control group (persons with fibromyalgia). The results show that there was a significant lower overall participation score for persons with hEDS/HSD compared to the healthy control group. In addition, significant differences were observed in the subscores self-performed activities and delegated activities in the hEDS/HSD group compared to healthy controls, being HEDS/HSD patients who obtained the lower scores. Further research is needed to obtain representative results of the participation level for the EDS/HSD population. In this way, interventions can be set up for patients with EDS in an evidence-based way and that are appropriate to the patient’s level of participation.
Implementing sustainable operational excellence in organizations: an integrative viewpoint

ABSTRACT Many Organizations are implementing operational excellence initiatives to be competitive in the industry. The initial results are very encouraging but subsequently, it was difficult for many organizations to sustain the initial success. The purpose of this paper is to investigate how to implement a sustainable operational excellence initiative in the organization. The study builds a model for sustainability of operational excellence which considers the social, economic and environmental aspect of operational excellence. In addition, organizational culture and agility are found to contribute a major role in sustainable organizational excellence. This is the first study to propose an integrative model for implementing sustainable operational excellence in organizations. Organizations will be able to implement operational excellence initiatives in a sustainable manner if the model of sustainability is followed. Besides, there are research propositions and future research directions to academic researchers.
Use in the Virtual R & D Teams

Problem statement: Although, literature proves the importance of the t echnology role in the effectiveness of virtual Research and Developme nt (R&D) teams for new product development. However, the factors that make technology construct in a virtual R&D team are still ambiguous. The manager of virtual R&D teams for new product develo pment does not know which type of technology should be used. Approach: To address the gap and answer the question, the stu dy presents a set of factors that make a technology construct. The propo sed construct modified by finding of the field survey (N = 240). We empirically examine the relati onship between construct and its factors by employing the Structural Equation Modeling (SEM). A measurement model built base on the 19 preliminary factors that extracted from literature review. The result shows 10 factors out of 19 facto rs maintaining to make technology construct. Results: These 10 technology factors can be grouped into two constructs namely Web base communication and Web ba se data sharing. The findings can help new product development managers of enterprises to concentrate in th main factors for leading an effective virtua l R&D team. In addition, it provides a guideline for soft ware developers as well. Conclusion: The second and third generation technologies are now more suitable for d eveloping new products through virtual R&D teams.
E-Satisfaction Estimation: A Comparative Analysis Using AHP and Intuitionistic Fuzzy TOPSIS

In this competitive atmosphere, internet marketing serves as an effective alternate trade network that businesses can focus on to get direct access to their target customers. Online buying facilitates shoppers to purchase goods and services right away from the merchants over the internet and without human interference. Consumers find produce of their preference with just click of a button. A complete series of merchandise from various dealers with their prices get exhibited to the buyers for their choice. But, is competitive prices and good product features sufficient for the buyers for their buying decisions? This article attempts to answer this ambiguous condition and try to realize the vital aspects for buyers' satisfaction. A customer satisfaction index (ECCSI) is studied to comprehend the features of online satisfaction and with a comparative analysis using analytical hierarchy process (AHP) and intuitionistic fuzzy TOPSIS (IFT), these different e-satisfaction indices are ranked to get an overall view of preferences of the customers.
Extending Tensor Virtual Machine to Support Deep-Learning Accelerators with Convolution Cores

Deep-learning accelerators are increasingly popular. There are two prevalent accelerator architectures: one based on general matrix multiplication units and the other on convolution cores. However, Tensor Virtual Machine (TVM), a widely used deep-learning compiler stack, does not support the latter. This paper proposes a general framework for extending TVM to support deep-learning accelerators with convolution cores. We have applied it to two well-known accelerators: Nvidia's NVDLA and Bitmain's BM1880 successfully. Deep-learning workloads can now be readily deployed to these accelerators through TVM and executed efficiently. This framework can extend TVM to other accelerators with minimum effort.
Quality assessment of optic nerve sheath diameter ultrasonography: Scoping literature review and Delphi protocol

The optic nerve is surrounded by the extension of meningeal coverings of the brain. When the pressure in the cerebrospinal fluid increases, it causes a distention of the optic nerve sheath diameter (ONSD), which allows the use of this measurement by ultrasonography (US) as a noninvasive surrogate of elevated intracranial pressure. However, ONSD measurements in the literature have exhibited significant heterogeneity, suggesting a need for consensus on ONSD image acquisition and measurement. We aim to establish a consensus for an ONSD US Quality Criteria Checklist (ONSD US QCC).
Multiobjective optimal design of saturated surface‐mounted permanent magnet synchronous motors

This paper presents a multiobjective optimal design of the parameters of surface‐mounted permanent magnet synchronous motors (PMSMs) considering saturation of the iron core. Multiobjective parameter tuning can further improve the performance characteristics of such motors. Specifically, efficiency and total volume are of great importance in industrial applications. A new formulation is presented for these two objective functions. In this paper, a multiobjective optimization based on a modified nondominated sorting genetic algorithm II (NSGA‐II) is utilized for optimal design of PMSM. Pareto‐optimal solution is achieved, and optimal variables are obtained. The best solutions are then selected by k‐means clustering algorithm for the motor under study. Finally, finite element analysis (FEA) is performed to validate the optimization procedure. The FEA results agree well with the values obtained by the optimization process.
TDTHub, a web server tool for the analysis of transcription factor binding sites in plants

SUMMARY Transcriptional regulation underlies most developmental programs and physiological responses to environmental changes in plants. Transcription factors (TFs) play a key role in the regulation of gene expression by binding specifically to short DNA sequences in the regulatory regions of genes: the TF binding sites (TFBSs). In recent years, several bioinformatic tools have been developed to detect TFBSs in candidate genes, either by de novo prediction or by directly mapping experimentally known TFBSs. However, most of these tools contain information for only a few species or require multi‐step procedures, and are not always intuitive for non‐experienced researchers. Here we present TFBS‐Discovery Tool Hub (TDTHub), a web server for quick and intuitive studies of transcriptional regulation in plants. TDTHub uses pre‐computed TFBSs in 40 plant species and allows the choice of two mapping algorithms, providing a higher versatility. Besides the main TFBS enrichment tool, TDTHub includes additional tools to assist in the analysis and visualization of data. In order to demonstrate the effectiveness of TDTHub, we analyzed the transcriptional regulation of the anthocyanin biosynthesis pathway. We also analyzed the transcriptional cascades in response to jasmonate and wounding in Arabidopsis and tomato (Solanum lycopersicum), respectively. In these studies, TDTHub helped to verify the most relevant TF nodes and to propose new ones with a prominent role in these pathways. TDTHub is available at http://acrab.cnb. csic.es/TDTHub/, and it will be periodically upgraded and expanded for new species and gene annotations.
Asymptotically Optimal Power Allocation and Code Selection for Iterative Joint Detection of CDMA

The CDMA “Channel” Joint access ofK users with individual spreading se-quences.Conventional Correlation DetectionCreate parallel single-user channels us-ing ﬁltering matched to spreading se-quences.Linear Joint Detection Various ﬁltertechniques, most prominently MMSE ﬁl-tering.The Turbo Principle is applied to theserial concatenation of an outer errorcontrol code with the inner CDMA chan-nel.Early Work on Iterative CDMA Detectionyλ(d
Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †

Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech processing. We provide an overview of natural gas forecasting. Next, the deep learning method, contrastive divergence is explained. We compare our proposed deep neural network method to a linear regression model and a traditional artificial neural network on 62 operating areas, each of which has at least 10 years of data. The proposed deep network outperforms traditional artificial neural networks by 9.83% weighted mean absolute percent error (WMAPE).
Full Brick, History and Future

In our article I tried to name history and evolution in creation of (burnt bricks). I focused on full brick which is the main building component since 1964. Since this year many more products have been created, these products replaced the full brick in some parts of construction yet it is still part of many buildings of different shapes and colours. I named the evolution progress until nowadays. The brick was at the birth of construction industry. It was 8300 years BC (before Christ). For the duration of 10.000 years it was main steppes material. It made its breakthrough in structure constructions. It made revolutionary construction Boom from low one story buildings up to many story buildings. Brick connects functionality with aesthetics, It pushed construction industry from material position which is subordinate to weather influences, to material which is able to withstand many centuries. It is recyclable, health wise friendly, antiallergic, fire-resistant, and chemically resistant. The brick became the main pillar for constructions from 19th century until nowadays. It has been used on many constructional sites. They resist the wind and weather influence they also have functional and esthetical value. Keywords: brick, history, full brick, material, desiccation, size.