Miracle-dz/UniFAR-FTUs huggingface dataset:
Generation and Evaluation of Novel Biomaterials Based on Decellularized Sturgeon Cartilage for Use in Tissue Engineering

Because cartilage has limited regenerative capability, a fully efficient advanced therapy medicinal product is needed to treat severe cartilage damage. We evaluated a novel biomaterial obtained by decellularizing sturgeon chondral endoskeleton tissue for use in cartilage tissue engineering. In silico analysis suggested high homology between human and sturgeon collagen proteins, and ultra-performance liquid chromatography confirmed that both types of cartilage consisted mainly of the same amino acids. Decellularized sturgeon cartilage was recellularized with human chondrocytes and four types of human mesenchymal stem cells (MSC) and their suitability for generating a cartilage substitute was assessed ex vivo and in vivo. The results supported the biocompatibility of the novel scaffold, as well as its ability to sustain cell adhesion, proliferation and differentiation. In vivo assays showed that the MSC cells in grafted cartilage disks were biosynthetically active and able to remodel the extracellular matrix of cartilage substitutes, with the production of type II collagen and other relevant components, especially when adipose tissue MSC were used. In addition, these cartilage substitutes triggered a pro-regenerative reaction mediated by CD206-positive M2 macrophages. These preliminary results warrant further research to characterize in greater detail the potential clinical translation of these novel cartilage substitutes.
MAGITS: A Mobile-based Information Sharing Framework for Integrating Intelligent Transport System in Agro-Goods e-Commerce in Developing Countries

The technological advancement in Intelligent Transport Systems and mobile phones enable massive collaborating devices to collect, process, and share information to support the sales and transportation of agricultural goods (agrogoods) from farmer to market within the Agriculture Supply Chain. Mobile devices, especially smartphones and intelligent Point of Sale (PoS), provide multiple features such as Global Positioning System (GPS) and accelerometer to complement infrastructure requirements. Despite the opportunity, the development and deployment of the innovative platforms integrating Agro-goods transport services with e-commerce and e-payment systems are still challenging in developing countries. Some noted challenges include the high cost of infrastructure, implementation complexities, technology, and policy issues. Therefore, this paper proposes a framework for integrating ITS services in agro-goods e-commerce, taking advantage of mobile device functionalities and their massive usage in developing countries. The framework components identified and discussed are Stakeholders and roles, User Services, Mobile Operations, Computing environment with Machine Learning support, Service goals and Information view, and Enabling Factors. A Design Science Research (DSR) method is applied to produce a framework as an artifact using a six-step model. Also, a case study of potato sales and transportation from the Njombe region to Dar es Salaam city in Tanzania is presented. The framework constructs the ability to improve information quality shared among stakeholders; provide a cost-effective and efficient approach for buying, selling, payment, and transportation of Agriculture goods. Keywords—Intelligent transport system; stakeholders; mobile phone; agro-goods; information sharing; agriculture supply chain; machine learning
Future IoT based on Smart Mirror: A Literature Review

: This paper discusses Future IoT based on Smart Mirror which is useful in various fields of human life. Smart mirrors were developed using Arduino and Raspberry Pi for further development. In the future this technology will be useful to help humans do their jobs such as in health, sports, learning and so on. To interact with smart mirrors, users can use voice or face recognition. In addition to the smart mirror, the future of IoT can also be used as a smart home where objects will be connected to the internet. Smart Mirrors and IoT can also help in people's daily lives such as can be used for smart parking. In implementing IoT in the future, the challenges that will be faced are very diverse, such as the accuracy of analysis, data security and so on. These challenges must be prevented and their impact minimized so that IoT can be of maximum use in the future. This literature will discuss the benefits of applying IoT in the future as well as its application, Sensor and microcontroller on IoT and Smart Mirror and also discuss the problems that may arise from this IoT technology in the future.
Visuospatial Working Memory under Fatigue: Observations with Cerebral Hemodynamics and Heart Rate Variability

Visuospatial working memory (WM) is a central component of human executive function within safetycritical systems, where the interactions between fatigue due to time-on-task and WM capacity remain critical yet under-explored dimensions. In this work, we investigate the temporal dynamics of brain activation, functional connectivity, and heart-rate variability (HRV) during a fatiguing visuospatial twoback test. We recruited sixteen participants who were subject to this protocol while we captured their neurophysiological data through near-infrared spectroscopy and HRV. We observed that brain activation in the pre-frontal cortex (PFC) mirrors performance, where, with the onset of fatigue we found a decrease in both measures. Functional connectivity strengths were found to decrease between key PFC regions and the secondary visual cortex suggesting fatigue-induced task disengagement. Further, we explored the validity of the neurovisceral integration model in explaining HRV changes against brain activation. Together, our observations support the development of a predictive framework for WM decline.
Intracorporeal Mechanical Side-to-Side Isoperistaltic Anastomosis in Laparoscopic Right Hemicolectomy: The Best Choice? A Cohort Study

*Correspondence: Xavier Serra-Aracil, Department of General Surgery and Digestive System, Hospital Universitario Parc Tauli, Parc Tauli, 1. 08208 Sabadell (Barcelona), Spain, Tel: 0034 93 723 10 10; Fax: 0034 93 716 06 46; E-mail: xserraa@gmail.com Received Date: 28 Oct 2018 Accepted Date: 26 Nov 2018 Published Date: 30 Nov 2018 Citation: Serra-Aracil X, Mora-López L, PalliseraLloveras A, Serra-Pla S, Navarro-Soto S. Intracorporeal Mechanical Sideto-Side Isoperistaltic Anastomosis in Laparoscopic Right Hemicolectomy: The Best Choice? A Cohort Study. Clin Oncol. 2018; 3: 1555. Copyright © 2018 Xavier SerraAracil. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Research Article Published: 30 Nov, 2018
COGONGRASS ROOT EXTRACT FROM FIVE DIFFERENT SOILS TYPES FOR SUPPRESSING PURPLE BLOTCH AND INCREASING GROWTH AND YIELD OF SHALLOTS

Cogongrass root extract from five different soils types for suppressing purple blotch and increasing growth and yield of shallots. The aim of this study was to examine the efficacy of cogongrass (Imperata cylindrica (L.) Beauv. ) root extracts from five different soil types (Typic Udipsamments, Aeric Endoaqualfs (=Gleisal Eutrik), Typic Quartzipsamments (=Regosol Eutrik), Aquertic Chromic Hapludalfs, and Pachic Hapludolls) in suppressing purple blotch and increasing growth and yield of shallots. Split plot design was used with 13 treatments repeated three times, and 18 plants plot. The treatments consisted of control, fungicide propineb applied before and after inoculation, and five types of cogongrass root extract 50, 60, and 70% concentration applied before and after inoculation. Results showed that cogongrass root extract collected from Pachic Hapludolls which was applied before inoculation had significant effect on the highest pathosystem component indicated by delaying the incubation period, suppressing the intensity of the disease, slowing down the infection rate, and decreasing values of AUDPC as 41.85, 69.87, 75.13, and 67.63%, respectively, compared to control. The cogongrass root extract from Pachic Hapludolls applied before inoculation could increase plant fresh and dry weight plant, tuber weight plant, plant fresh and dry weight plot, and tuber dry weight plot as 42.7, 49.6, 51.92, 66.75, 72.29, and 73.53%, respectively, compared to
THE ROLE OF TECHNOLOGY FOR ACTIVATING THE USE FORENSIC ACCOUNTING IN FINANCIAL FRAUD DETECTION

The objective of this research is to investigate the limitations facing the use of IT in forensic accounting and the role of IT in activating the forensic accounting in discovering the financial fraud. To reach the objective of this research, questionnaire was used as a tool for data collection. The questionnaire composed of three parts. The first part designed to collect data about the demographic characteristics, while the second part designed to collect information about the limitations of using IT in forensic accounting, and the third part was designed to collect information about the role of IT in activating the forensic accounting and discovering financial fraud. The population was the auditors in public and private sectors. Simple random sample was selected of both sectors. The collected data was analyzed using SPSS. The results of this research have shown that the cost of IT infrastructure, the lack of training and the high cost of IT providers will affect the use of IT in forensic accounting. The results showed that IT will activate the role of forensic accounting in discovering financial fraud.
​Isolation and Characterization of a Vibrio Sp. Strain MA3 Possibly Associated with Mass Mortalities of the Pearl Oyster Pinctada fucata

In the summers of 2019 and 2020, a previously undescribed disease occurred in both juvenile and adult shellfish, causing mass mortalities in cultured pearl production, characterized by the major symptom of extreme atrophy of the soft tissues, including the mantle. However, the causative organism was uncertain. We isolated Vibrio sp. strain MA3 from the mantles of diseased pearl oysters Pinctada fucata. Analyses of 16S rRNA gene and DNA gyrase sequence homologies and its biochemical and morphological characteristics suggested that strain MA3 is a new strain of Vibrio alginolyticus. In addition, a hemolysin gene (Vhe1) of strain MA3 was detected as one of the virulence factors, and the complete sequence was determined. BLAST searches showed that Vhe1 shares 99.8% nucleotide sequence identity with Vibrio alginolyticus strain A056 lecithin-dependent hemolysin (ldh) gene, complete cds. Experimental infection of healthy oysters via injection with strain MA3 indicated it could cause high mortalities of the typically affected oysters from which the strain was isolated. These results suggest that the newly isolated Vibrio sp. strain MA3 is a putative causal agent of the recent disease outbreaks in Akoya pearl oysters.
Antimicrobial, Antioxidant and DNA Damage
Prevention Effect of Nano-Copper Particles
Obtained from Diplotaenia turcica Plant
by Green Synthesis

Metal nanoparticles have been intensely researched and developed in recent years due to their superior properties. There is a growing interest in economical and environmentally friendly techniques. Cu metal is preferred in research studies due to its cheapness and effects on human health (such as production of blood cells, oxidation and reduction). In recent years, the use of plant extracts in nanoparticle synthesis has become quite popular. In this study, we aimed to investigate the antioxidant capacity and protective properties of Cu nanoparticles obtained by using Diplotaenia turcica plant against damage to pBR322 plasmid DNA. In addition, we investigated the antimicrobial effect of Cu nanoparticles against Staphylococcus aureus ATTC 29213, Pseudomonas aeruginosa ATCC 27853, Enterococcus faecalis ATCC 29212, Bacillus subtilis ATCC 6633, Bacillus cereus ATCC 10876, Escherichia coli ATCC 25952, Candida albicans ATCC 25952. Diplotaenia turcica plant characterization with Cu metal (Cu NPs/Dt) ultraviolet and visible light absorption spectroscopy (UV-vis), fourier-transformed infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), X-ray diffraction (XRD) and energy dispersive X-ray (EDX) analysis. When looking at the antioxidant activity analysis, it is understood that it is a powerful antioxidant. It was determined that Cu NPs/Dt have significant antimicrobial activity. Its effect against some pathogens was found to be stronger than the positive control antibiotic. It was determined by the obtained DNA images that there is a potential to prevent breaks that may occur in DNA depending on the concentration.
Brand Strategy Development

Introduction The Customer-Based Brand Equity, or CBBE Model, suggested by Keller (2001) clearly describes four phases and steps of brand-building, including (1)brand identity, (2)brand meaning, (3) brand response and (4) brand relationship. Furthermore, Keller divided six items of brand-building phase from those four stages so as to compose a brand equity pyramid, expounded in Figure 1 as follows:
Factors influencing gastrointestinal parasites in a colony of Alpine ibex (Capra ibex) interacting with domestic ruminants

Parasitic infections in populations of wild herbivores can affect the individual fitness and population dynamics of their hosts. In this study, the ecology of gastrointestinal (GI) parasites was investigated in anAlpine ibex colony of theMarmoladamassif, eastern Alps. Both individual and environmental factors were studied to reveal their relationship with parasite prevalence and burden. In a four-year period, 414 individual faecal samples of ibex were collected on a monthly basis during summer and autumn and were subjected to quali-quantitative examinations for the identification and quantification of oocysts and eggs. Domestic ungulates grazing in the same area were also sampled to investigate the risk of GI parasite transmission. Negative binomial regression models were developed to study the influence of physiological and environmental factors on parasite burdens. The results of the qualitative examination were in agreement with the few data already present in the literature for Alpine ibex, showing high prevalence values for Coccidia and GI strongyles, low values for Cestoda and sporadic presence of whipworms. Higher burdens in kids were found for Coccidia and Cestoda. Analysis of the GI endoparasite community of cattle and sheep suggested a negligible risk of parasite transmission to the Alpine ibex population. The sanitary risk represented by Coccidia and Cestoda in ibex kids and some peculiarities of the endoparasite distribution patterns in the Marmolada ibex population call for future in-depth ecological studies to investigate their influence on the limited growth rate shown by the ibex colony during the last decade.
A Study on Screening for Depression among Inhabitants of Old Age Homes in Anand Taluka and Associated Epidemiological Determinants

Introduction: According to the Global Burden of Disease Study 2015, the age group having the highest percentage of persons living with depression is the elderly, especially between the sixty to eighty year age group. Depression in later age is a very common psychiatric morbidity. A validated screening tool is very helpful to recognize depression in early stages. Objectives: To screen for depression among sixty to eighty year old people living in old age homes of Anand taluka and study variables that may be associated with it. Method: Inhabitants of old age homes between the age group sixty to eighty years in Anand taluka were included in the study. The participants were screened using the Geriatric Depression Scale-short version. For the associated variables, dichotomous responses were taken. The participants who were found depressed by the scale were referred for further counseling. Results: Twothird of the participants screened were found as depressed. Depression was more among females, participants with co-morbidities, participants who are living alone and those who were financially dependent. Conclusion: According to our study, females especially in the 60-69 year age group were found to be depressed more than the other age group and gender. It is important to look into other factors which may be associated with old age depression which need to be assessed for each elderly separately.
Genome wide recognition of tumor necrosis factor (TNF) like ligands in human and Arabidopsis genomes: a structural genomics approach

iv Introduction 1 Materials and Methods 6 Results 11 Discussion 38 Appendix A. The known TNF superfamily members from different species 41 Appendix B. PSI-BLAST and HMM results of known human TNFs and C-1-Q proteins 51 Appendix C. Sequences of the potential TNF-like hits in human and Arabidopsis genomes recognized by the protein structure threading scheme 53 References 54 Acknowledgements 58
Isolation, Identification, Biocontrol Activity, and Plant Growth Promoting Capability of a Superior Streptomyces tricolor Strain HM10

Abstract Streptomyces is a genus with known biocontrol activity, producing a broad range of biologically active substances. Our goal was to isolate local Streptomyces species, evaluate their capacity to biocontrol the selected phytopathogens, and promote the plant growth via siderophore and indole acetic acid (IAA) production and phosphate solubilization. Eleven isolates were obtained from local soil samples in Saudi Arabia via the standard serial dilution method and identified morphologically by scanning electron microscope (SEM) and 16S rRNA amplicon sequencing. The biocontrol of phytopathogens was screened against known soil-borne fungi and bacteria. Plant growth promotion capacity was evaluated based on siderophore and IAA production and phosphate solubilization capacity. From eleven isolates obtained, one showed 99.77% homology with the type strain Streptomyces tricolor AS 4.1867, and was designated S. tricolor strain HM10. It showed aerial hyphae in SEM, growth inhibition of ten known phytopathogens in in vitro experiments, and the production of plant growth promoting compounds such as siderophores, IAA, and phosphate solubilization capacity. S. tricolor strain HM10 exhibited high antagonism against the fungi tested (i.e., Colletotrichum gloeosporides with an inhibition zone exceeding 18 mm), whereas the lowest antagonistic effect was against Alternaria solani (an inhibition zone equal to 8 mm). Furthermore, the most efficient siderophore production was recorded to strain HM8, followed by strain HM10 with 64 and 22.56 h/c (halo zone area/colony area), respectively. Concerning IAA production, Streptomyces strain HM10 was the most effective producer with a value of 273.02 μg/ml. An autochthonous strain S. tricolor HM10 should be an important biological agent to control phytopathogens and promote plant growth.
On optimal block resampling for Gaussian-subordinated long-range dependent processes

Block-based resampling estimators have been intensively investigated for weakly dependent time processes, which has helped to inform implementation (e.g., best block sizes). However, little is known about resampling performance and block sizes under strong or long-range dependence. To establish guideposts in block selection, we consider a broad class of strongly dependent time processes, formed by a transformation of a stationary long-memory Gaussian series, and examine block-based resampling estimators for the variance of the prototypical sample mean; extensions to general statistical functionals are also considered. Unlike weak dependence, the properties of resampling estimators under strong dependence are shown to depend intricately on the nature of non-linearity in the time series (beyond Hermite ranks) in addition the long-memory coefficient and block size. Additionally, the intuition has often been that optimal block sizes should be larger under strong dependence (say $O(n^{1/2})$ for a sample size $n$) than the optimal order $O(n^{1/3})$ known under weak dependence. This intuition turns out to be largely incorrect, though a block order $O(n^{1/2})$ may be reasonable (and even optimal) in many cases, owing to non-linearity in a long-memory time series. While optimal block sizes are more complex under long-range dependence compared to short-range, we provide a consistent data-driven rule for block selection, and numerical studies illustrate that the guides for block selection perform well in other block-based problems with long-memory time series, such as distribution estimation and strategies for testing Hermite rank.
Ultrasonic Image Diagnosis of Liver and Spleen Injury Based on a Double-Channel Convolutional Neural Network

Automatic and accurate diagnosis of liver and spleen injury in ultrasonic images is of great significance for the development of automatic clinical diagnosis. In order to realize more accurate ultrasonic image diagnosis of liver and spleen injury, an algorithm of ultrasonic image classification diagnosis of liver and spleen injury based on double-channel convolutional neural network was proposed. Firstly, the anisotropic diffusion denoising model is used to realize data preprocessing of ultrasonic images of the liver and spleen to improve the image quality of ultrasonic images. Secondly, the external edge of the lesion location was detected to obtain the characteristics of the external edge. Then, the rotation invariant local binary mode feature of the extracted image is taken as the inner texture feature of the image. Finally, the external edge feature and internal texture feature are used as two input channels of the convolutional neural network, respectively, to classify and identify ultrasonic images of liver and spleen injury. The experimental results show that the proposed method diagnoses liver and spleen injury more accurately.
A study on Cloud Benchmarking

Sharing of files is a common functionality in cloud storage systems, which enable many users to concurrently use files in shared folders or workspaces. Current cloud storage systems, on the other hand, can deliver unexpected results to end users in the face of concurrency. Our research's aim is to identify the findings provided by existing cloud storage systems in concurrent environments and make these results publicly available, which could help both cloud storage end-users and service providers. Because of the large number of cloud computing providers and the various services each provides, cloud users need benchmark data that addresses the unique characteristics of the cloud computing world, such as dynamic scaling. Cloud Cmp, Cloud Stone, Hi Bench, YCSB, and Cloud Suite are five common tools that present workloads and/or methods for quantitatively comparing cloud computing offerings.