Miracle-dz/UniFAR-FTUs huggingface dataset:
Immersing the arts : Integrating the arts into ocean literacy

This article tracks efforts to diversify Connecticut Sea Grant’s funding portfolio with an arts-focused award program and examines the implications of that effort. For over ten years, CTSG has supported its Arts Support Awards Program, funding one or more individual artists or a collective each year. The program has led to a ten-year retrospective exhibition of the works of awarded artists and spawned a series of associated artist’s talks and transdisciplinary panels. Broadening ocean literacy to incorporate the arts and “blue humanities” leads to a richer and more robust knowledge of the ocean, enhances the process of learning and becoming ocean literate, and can generate value-driven or emotional responses that may catalyze conservation ethics. More research is needed to assess empirically the impact of the arts on ocean stewardship and conservation behaviors.
Modular Speciﬁcation and Analysis of Distributed Algorithms

Modularity is an important engineering property that speciﬁcations should have, to allow speciﬁcations to grow larger and to modularly reason about them, when possible. These aspects fall quite appropriately in the context of the speciﬁcation of distributed algorithms, where environment issues should be abstracted and the speciﬁcation should focus on the problem that the algorithm claims to solve. Moreover, to reuse speciﬁcations, in a semantics preserving manner, is indeed a desirable feature. This paper proposes the use of modular structural operational semantics (MSOS) as a semantic framework for such speciﬁcations and advocates the use of the Maude MSOS Tool to support the execution and analysis of the MSOS speciﬁcations of distributed algorithms.
DISEASE PREDICTION SYSTEM USING SUPPORT VECTOR MACHINE AND MULTILINEAR REGRESSION

-Evolution of modern technologies like data science and machine learning has opened the path for healthcare communities and medical institutions, to detect the diseases earliest as possible and it helps to provide better patient care. Accuracy of detecting the possible diseases is reduced when we do not have complete medical data. Furthermore, certain diseases are region-based, which might cause weak disease prediction. Our body shows the symptoms when something wrong is happening within our body, sometime it may be just minor problem but sometimes we can have severe illness and if we do not take care of these symptoms at the early stage then it might be too late to cure the disease. So we are proposing a disease prediction system that can predict the possible diseases based on symptoms so it can be cured at the early stage. It saves time that is required to do the complete diagnosis of the patient and based on the suggestions provided by the system we can only get the patient diagnosed for those diseases that are required. In this paper, we are using machine learning algorithms that try to accurately predict possible diseases. The results generated by the proposed system have an accuracy of up to 87%. The system has incredible potential in anticipating the possible diseases more precisely. The main motive of this study is to help the nontechnical person and freshman doctors to make a correct opinion about the diseases.
Health and Dietary Supplements

 Abstract — Introduction: Nutritional supplements provide nutrients, which may not ingest in sufficient quantities. Dietary supplements may be vitamins, minerals, amino acids, fatty acids or other substances, and are present in the form of pills, tablets, capsules and liquids. Purpose: The purpose of this review is to present the correlation of nutritional supplements to the human body through food, in order to protect and promote health. Review Methods: The methodology of this study included search of review studies and research in leading databases such as PUBMED, MEDLINE and IATROTEK. The criterion for the selection of the articles was the Greek and English language, with Results: It is true that today our diet is much richer than before. On the other hand, the abundance of processed food and ignorance of the basic principles of nutrition have led much of the population to an unbalanced diet. Thus, the phenomenon of a very rich food in calories and fat and poor in proteins, vitamins and minerals. So sometimes recommend the consumption of food supplements to meet these human needs. Nutritional supplements help in improving performance, physical appearance, to avoid making dangerous drugs and meet the increased needs of the organization or deficiencies in nutrients caused by and which cannot be met by normal diet. Conclusions: Consumption of food supplements should be done in moderation because their excess consumption can cause various side effects in the person's body.
Encapsulation Techniques for Delivery of Bioactive Compounds in Milk and Dairy Products-A Review

Encapsulation of food ingredients is one of the most important applications in food industry. The developing interest of consumers towards natural ingredients has resulted in the use of bioactive compounds in dairy applications. Encapsulation is an attractive technique to enhance the stability of bioactive compounds with controlled release. This review article provides an overview of various encapsulation techniques such as spray drying, extrusion method, emulsion, spray chilling, coacervation, cocrystallization and different encapsulated bioactive compounds which have been used for the fortification of dairy products. This review will help to give valuable insight that may be useful for commercialization of suitable encapsulated bioactive compounds in dairy industry.
Bone morphogenic protein signaling in spinal cord injury

Spinal cord injury (SCI) is a debilitating injury that results from traumatic or non-traumatic insults to the spinal cord, causing significant impairment of the patient’s activity and quality of life. Bone morphogenic proteins (BMPs) are a group of polyfunctional cytokines belonging to the transforming growth factor beta superfamily that regulates a wide variety of cellular functions in healthy and disease states. Recent studies suggest that dysregulation of BMP signaling is involved in neuronal demyelination and death after traumatic SCI. The focus of this article is to describe our current understanding of the role of BMP signaling in the regulation of cell fate, proliferation, apoptosis, autophagy, and inflammation in traumatic SCI. First, we will describe the expression of BMPs and pattern of BMP signaling before and after traumatic SCI in rodent models and in vitro. Next, we will discuss the role of BMP in the regulation of neuronal and glial cell differentiation, survival, functional recovery from traumatic SCI, and the gap in knowledge in this area that requires further investigation to improve SCI prognosis.
miR-223-3p regulates proliferation and apoptosis of hepatocellular carcinoma SMMC-7721 cells by targeting RAC1

[摘 要] 目的:探讨miR-223-3p通过调控Ras相关C3肉毒素底物1(Ras-related C3 botulinum toxin substrate 1,RAC1)对肝细 胞癌(hepatocellular carcinoma,HCC)细胞增殖和凋亡的影响及其可能的作用机制。 方法:选用2016年8月至2018年8月吉林市 中心医院手术切除的 30例HCC组织及其癌旁组织标本和人 HCC 细胞系 SMMC-7721、Bel-7402、HepG2及人正常肝细胞 QSG-7701,用qPCR检测HCC组织和细胞系中miR-223-3p的表达水平。 分别将miR-223-3p mimics、miR-223-3p inhibitor和 siRAC1 转染至SMMC-7721细胞,通过CCK-8、克隆形成实验和Annexin V-FITC/PI染色流式细胞术检测SMMC-7721细胞的增殖、克隆 形成和凋亡水平。 用双荧光素酶报告基因实验检测miR-223-3p与RAC1的靶向关系,Western blotting检测细胞中RAC1蛋白的 表达水平。 结果:miR-223-3p在HCC组织的表达水平显著低于癌旁组织(P<0.01),其表达水平与肿瘤大小、TNM分期及肿瘤分 化病理特征相关(P<0.05或P<0.01);miR-223-3p在HCC细胞系表达水平显著低于QSG-7701细胞(均P<0.01),以在SMMC-7721 细胞中表达水平最低。 双荧光素酶报告基因实验证实RAC1是miR-223-3p靶基因,miR-223-3p靶向负调控RAC1的表达。 转染 miR-223-3p mimics显著抑制 SMMC-7721 细胞的增殖和克隆形成能力(P<0.05或P<0.01),并促进细胞凋亡(P<0.01);转染 miR-223-3p inhibtor则逆转miR-223-3p mimics对细胞的抑制作用。 结论:过表达miR-223-3p抑制HCC细胞增殖和克隆形成能 力并促进细胞凋亡,其机制可能与靶向下调RAC1表达有关。 [关键词] miR-223-3p;Ras相关C3肉毒素底物1;肝细胞癌;SMMC-7721细胞;增殖;凋亡 [中图分类号] R735.7;R730.54 [文献标识码] A [文章编号] 1007-385X(2020)06-0664-07
COMMENT Grouped Locations and Object-Based Attention : Comment on Egly , Driver , and Rafal ( 1994 )

Recently, R. Egly, J. Driver, and R. D. Rafal (1994) provided evidence for an object-based component of visual orienting in a simple cued reaction time task. However, the effects of objects on visual attention can be due to selection from either of two very different types of representations: (a) a truly object-based representation that codes for object structure or (b) a grouped array representation that codes for groups of spatial locations. Are Egly et al.'s results due to selection from an object-based representation or from a grouped array representation? This question was addressed by using a variant of Egly et al.'s task. The findings replicated those of Egly et al. and demonstrated that the selection in this task is mediated through a grouped array representation. The implications of these results for studies of attentional selection are discussed.
The Need of Distance Learning in the Wake of COVID-19 in Morocco: Teachers’ Attitudes and Challenges in the EFL Instruction

Owing to the rapidly ubiquitous infection of Coronavirus in Morocco and other parts of the globe, a plethora of governments have urgently resorted to implement distance learning to save the current academic year from an evitable failure. Given the non-prevalence of information and communication technologies (ICTs) in Morocco, distance learning has been a quite bold attempt to officially continue education, even after the closure of schools and campuses, without interruption with a slightly adjusted grading scale in order to lead the boat of the current academic year to a safe harbor. In this regard, many underprivileged students have benefitted from free modems and laptops, the case of Euromed University of Fes (UEMF). This great initiative has enabled the aforementioned students to enjoy the full experience of distance learning. As for secondary schools and most public institutions, the supply of electronic devices has almost been lacking. One should know that the government has taken some modest initiatives, such as offering free access to a few platforms, national channels, and official pages of the aforesaid ministry, namely TelmidTICE. It must be noted that distance learning, in Morocco, has continuously undergone various challenges during COVID-19 ranging from content and pedagogy to assessment and evaluation. Having used both quantitative and qualitative research for the purpose of gathering relevant data by means of questionnaire and participant observation, we have been able to ferret out the real challenges that are structurally embedded and ramified in the application of distance learning whose infrastructure must be constantly buttressed via empirical research and quality teacher training to better respond to different learning needs and styles, and simultaneously combat digital illiteracy.
Ensemble Learning for Classification - A Survey

: Ensemble learning is a classification process that uses multiple machine learning models that are strategically constructed to solve a particular problem. It classifies new data points by combining the prediction of each base classifier. Initially bayesian averaging is used as an ensemble method but more recent algorithms include Voting, Stacking, Bagging and Boosting. This survey discusses popular ensemble methods for classification and explains why ensembles can often perform better than any single base classifier. The study compares different base classifiers and different ensemble classifiers and revealed that boosting algorithm LightGBM is the most efficient tool for classification problems in machine learning.
Antioxidant Effect of CoQ10 on N-nitrosodiethylamine-induced Oxida- tive Stress in Mice

The antioxidant effect of CoQ10 on N-nitrosodiethylamine (NDEA)-induced oxidative stress was investigated in mice. Food intake and body weight were similar in both CoQ10 and control groups during the 3-week experimental period. NDEA significantly increased the activities of typical marker enzymes of liver function (AST, ALT and ALP) both in control and CoQ10 groups. However, the increase of plasma aminotransferase activity was significantly reduced in the CoQ10 group. Lipid peroxidation in various tissues, such as heart, lung, liver, kidney, spleen and plasma, was significantly increased by NDEA, but this increase was significantly reduced by 100 mg/kg of CoQ10. Superoxide dismutase activity increased significantly upon NDEA-induced oxidative stress in both the control and CoQ10 groups with the effect being less in the CoQ10 group. Catalase activity decreased significantly in both the control and CoQ10 groups treated with NDEA, again with the effect being less in the CoQ10 group. The lesser effect on superoxide dismutase and catalase in the NDEA-treated CoQ10 group is indicative of the protective effect CoQ10. Thus, CoQ10 can offer useful protection against NDEA-induced oxidative stress.
Professional formation: the case of Scottish accountants

Studies of professional formation have employed the concepts of collective social mobility, closure and the process whereby knowledge is translated into social and economic rewards: in addition, there has been some attempt to show how this occurs. This paper builds on that work by examining the utility of the 'five class model' of stratification with its emphasis on the 'aspirant middle class' (Neale, 1972) and the 'unresolved dialectic' (Portwood and Fielding, 1 9 8 1 ) b etwe en traditional and modern values, for studying how Scottish accountants established their professional position -the first of that occupation to do so. The accountancy profession in Scotland was able to place the cachet of ascription on its members because its leaders were associated with the gentry, the legal profession and the more respectable (commercial, as opposed to manufacturing) part of the bourgoisie. The achieved status of members was thus endorsed by the respectability of ascription.
The Impact of Climate Change on Material Degradation: Finding a Feasible Approach for Climate Model Evaluation

Understanding how climate change accelerates or slows down the process of material deterioration is the first step towards assessing adaptive approaches for the preservation of historical heritage. Analysis of the climate change effects on the degradation risk assessment parameters like freeze-thaw cycles and salt crystallization is also a key parameter when considering mitigating actions. Due to the vulnerability of cultural heritage in Iran to climate change, the impact of this phenomenon on basic parameters like temperature was analyzed. Choosing an appropriate regional climate model is the first and most crucial step in the analysis of climate change effects on heritage. The outputs of two different regional climate models: the ALARO-0-SURFEX model (Ghent University, Belgium) and the REMO model (HZG-GERICS, Germany) were analyzed to find out which model is more adapted to the region. So the focus of this research is mainly on the evaluation process to find a feasible approach for validation study to determine the reliability of each model. For model validation, a comparison between model data and observations was performed for 30 years from 1980-2017. Besides, some climatic parameters which are likely critical for heritage like freeze-thaw cycles were studied to find out how reliable these models are in the field of building pathology .
A new invasive coconut pest in Hainan Province.

A newly found exotic Hispidae beetle, Octodonta nipae (Maulik)was reported from a forest nursery in Dongfang City, Hainan Province, China where it damages coconut palms which is an important ornamental and fruit trees widely planted in southern China. The beetle was first discovered on some ornamental seedlings of Washingtonia filifera introduced from a nursery in Guangdong Province. However, a prompt eradication program was carried out right upon the discovery, no establishment or further spread were detected so far.
Characterization of Subtilein, a Bacteriocin from Bacillus subtilis CAU131 (KCCM 10257)

Bacillus subtilis CAU131 (KCCM 10257) isolated from a fermented shrimp product produces subtilein, tentatively named as a bacteriocin, which exhibited a bactericidal effect against closely related species such as Bacillus subtilis ATCC 6633, Bacillus cereus ATCC 11778, and several other strains of Bacillus sp. The purification of the subtilein was achieved by applying a mono-Q anion exchange chromatography on FPLC and C 18 reverse-phase chromatography on HPLC. After purification, specific activity of subtilein was increased about 3,000-fold compared with culture broth and its molecular mass was about 5,000 Da on SDS-PAGE. The antimicrobial activity of subtilein was well maintained at acidic and neutral pHs between 3 and 8. Subtilein was relatively heat stable, and its antimicrobial activity remained for 2 h at 80°C. However, the activity was reduced after heating at 100°C, and about 80% of the activity was found after 1 h incubation at 100°C. The treatment of Bacillus subtilis ATCC 6633 with subtilein led to morphological changes in stationary-phase cells and most cells appeared to be lysed.
Efficiency of adaptive sampling in surface texture measurement for structured surfaces

Adaptive sampling has been used as an efficient sampling strategy in metrology for many years. However, most of the research into adaptive sampling has concentrated on the area of form measurement by coordinate measuring machines. This paper will discuss the use of adaptive sampling, primarily to reduce the measurement time when making high density areal surface measurements, for instruments that measure surface texture using scanning mechanisms, such as stylus profilometers. Specifically, the paper will concentrate on a common adaptive sampling method known as indirect sampling and a modified version is proposed in this paper. Simulated sampling analyses and three typical micro-scale structured surfaces (a vee-groove-like surface, a rectangularly tessellated micro-lens array and a MEMS device surface) are used as test cases. Using the tensor product order 2 B-spline reconstruction, the root mean square deviation from the original surface is calculated. By comparison with the widely used uniform sampling technique, the performance analysis results show that the modified adaptive sampling has advantages by improving the measurement accuracy, reducing the data size and reducing the measurement duration.
Pentraxin-3 polymorphisms and pulmonary fungal disease in non-neutropenic patients

Background Pentraxin 3 (PTX3) plays a non-redundant role in innate immunity against fungal diseases. Although single nucleotide polymorphisms (SNPs) of PTX3 are associated with a higher risk of invasive aspergillosis among the immunosuppressed population and chronic obstructive pulmonary disease patients, it is unknown whether PTX3 genetic variants influence the risk of pulmonary fungal disease in immunocompetent patients. Methods To investigate the association between PTX3 gene polymorphisms and pulmonary mycosis in non-neutropenic patients, we conducted a case-control study in a tertiary hospital department. Forty-five patients were identified using the criteria of the European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group and the National Institute of Allergy and Infectious Diseases Mycoses Study Group (EORTC-MSG) and enrolled in the case group. Of these patients, 15 had allergic bronchopulmonary aspergillosis (ABPA), 10 had invasive pulmonary aspergillosis (IPA), 18 had pulmonary cryptococcosis, and 2 had other types of pulmonary mycosis. One hundred and twenty-two non-neutropenic inpatients not infected by fungal disease were randomly selected as the control group. We detected three SNPs (rs2305619, rs3816527, and rs1840680) within the PTX3 gene using polymerase chain reaction sequencing and compared their associations with different types of pulmonary fungal disease. Results Three SNPs were consistent with Hardy-Weinberg equilibrium (HWE). SNP rs2305619 was in linkage disequilibrium with rs3816527 (D’=0.85) and rs1840680 (D’=0.85), respectively. There was no difference in the genotypic distribution and haplotype frequency of the SNPs between the case group and the control group. When we focused on invasive mold infections as a subgroup, we found that the SNP rs3816527 CC homozygote was associated with a higher risk of IPA (OR, 7.37; 95% CI, 0.93–44.44; P=0.033), while the rs3816527 AA homozygote might lower the risk of pulmonary cryptococcosis (OR, 0.35; 95% CI, 0.11–0.96; P=0.047). No genotypic distribution differences were observed for the other two SNPs (rs2305619 and rs1840680). When it came to the comparison between ABPA subgroup and control group, no difference in single nucleotide polymorphism was observed. Conclusions This study showed that the SNP rs3816527 is associated with IPA in non-neutropenic patients. Further investigations in large populations are needed to validate this genetic predisposition. Functional studies are also required.
Tri-axial force sensor unit for smart prosthetics

1 Fondazione Bruno Kessler, Trento. 38123, Italy Summary This work reports the results of the design and fabrication of a tri-axial force sensor designed to be implemented in a master socket. The scope was to provide a smart sensing unit as building block for investigating automatic and less handcraft procedures for tailoring the prosthesis shape to the anatomical profile of the residual limb. In order to achieve this task, the continuous monitoring of parameters as the shear stress and normal pressure interaction between the leg and the socket plays an important role [1]. In the proposed approach the aim is the integration of a wireless system based on several force microsensors in a master socket for providing the biomechanical data for a fast customization of prosthetic socket for lower limb.
LIVESTOCK MANAGEMENT STRATEGIES IN A CHANGING CLIMATE IN ROMBO DISTRICT, TANZANIA

Livestock are important socio-economic assets essentially kept for food, manure, income, bride prize and prestige. This study was conducted in Rombo District to assess the effectiveness of livestock management strategies in a changing climate. Triangulation of the methods of data collection, analysis and presentation facilitated production of comprehensive research report. The study found that about 94 percent of the heads of household used different strategies to reduce the impact of climate change and variability on livestock. The devised strategies include fodder fetching, planted fodder, store fodder, keeping manageable livestock, and livestock keeping avoidance. The constraints to strategies used in livestock-keeping were risks associated with pasture fetching, lack of funds, denying farm supply of manure, and loss of households’ assets. The projected climate change and variability would have less effects on livestock keeping because about 66.7 percent of the heads of household had plans on it. For effective livestock management in a changing climate, appropriate strategies are recommended.
Long-Term Effect of Tillage Practices and Nitrogen Fertilization on Corn Yield

The objective of this study was to investigate the effect of different tillage systems and nitrogen (N) fertilizers on corn yield. Higher corn yields (207 bu/a and 203 bu/a) were found under no-tillage + high (150 lb N/a) manure application, and tillage + super high manure (750 lb N/a), respectively. The trend observed for the different nitrogen fertilizers between tillage systems was the same. However, a greater corn yield was observed under no-till in comparison to tilled conditions for both high fertilizer and high manure. No-till improves soil water infiltration, aggregation, nutrient cycling, and may increase crop yield. On other hand, soil erosion, runoff, and a depreciated plant stand may have been the reasons for lower yields under tillage for some of the treatments. Overall, the addition of organic fertilizer associated with no-till was a better practice for increasing corn yield compared to the use of mineral fertilizer associated with or without tillage.