Miracle-dz/UniFAR-FTUs huggingface dataset:
Chitosan modified Fe3O4/KGN self-assembled nanoprobes for osteochondral MR diagnose and regeneration

Chondral and osteochondral defects caused by trauma or pathological changes, commonly progress into total joint degradation, even resulting in disability. The cartilage restoration is a great challenge because of its avascularity and limited proliferative ability. Additionally, precise diagnosis using non-invasive detection techniques is challenging, which increases problems associated with chondral disease treatment. Methods: To achieve a theranostic goal, we used an integrated strategy that relies on exploiting a multifunctional nanoprobe based on chitosan-modified Fe3O4 nanoparticles, which spontaneously self-assemble with the oppositely charged small molecule growth factor, kartogenin (KGN). This nanoprobe was used to obtain distinctively brighter T2-weighted magnetic resonance (MR) imaging, allowing its use as a positive contrast agent, and could be applied to obtain accurate diagnosis and osteochondral regeneration therapy. Results: This nanoprobe was first investigated using adipose tissue-derived stem cells (ADSCs), and was found to be a novel positive contrast agent that also plays a significant role in stimulating ADSCs differentiation into chondrocytes. This self-assembled probe was not only biocompatible both in vitro and in vivo, contributing to cellular internalization, but was also used to successfully make distinction of normal/damaged tissue in T2-weighted MR imaging. This novel combination was systematically shown to be biosafe via the decrement of apparent MR signals and elimination of ferroferric oxide over a 12-week regeneration period. Conclusion: Here, we established a novel method for osteochondral disease diagnosis and reconstruction. Using the Fe3O4-CS/KGN nanoprobe, it is easy to distinguish the defect position, and it could act as a tool for dynamic observation as well as a stem cell-based therapy for directionally chondral differentiation.
An Interpretive Structural Model of Barriers in Implementing Corporate Governance (CG) in Pakistan

The purpose of this study is to structure a model of relationships among barriers in the implementation of CG in Pakistan. It also points out a key barrier in embarking on the regime of CG. The design of research consists of a literature review, data collection and analyses. Modeling methodology entails ISM coupled with MICMAC. Findings revealed that “lack of investigation about the rights of minority shareholders” is the most critical barrier since this occupies the bottom of the model. Whereas, barriers namely “basic shareholders rights are not often protected, minority shareholders rights are often violated, lack of autonomy on the part of the auditors and rules requiring equity ownership disclosure are not followed” are least critical since they occupy the top of the model. MICMAC analysis revealed that three barriers fall in the independent quadrant, six in the linkage, six independent and two in autonomous. This study is helpful to regulators and corporations to successfully embark on the regime of CG.
Impact Web On Decision Support Systems On The Organizations

: The purpose of this paper is to study decision support systems where information systems have become important to support the decision-making process in organizations and create an appropriate environment that has become more complex. The main objective of decision support systems is to develop techniques to support decision-making and use in all areas and organizations. The information age, rapid information dissemination and increased data flow have increased the competitive environment among organizations, so the use of decision support systems has become important for enterprises to increase their ability to adapt to the environment by making appropriate decisions accurately by relying on the Internet based on support systems. The study also demonstrated DSS components and types and Web impact on decision support systems, system features, and decision support across the web, comparison of traditional decision support systems and web-based decision support systems and advantages of web-based support systems. Decision support systems in organizations whose decision-making has become critical to the organizations' success, continuity or failure.
Bioaccumulation and distribution of Cesium-137 in the Humpback Grouper Fish (Cromileptes altivelis)

Humpback grouper fish (Cromileptes altivelis) is a highly valuable export commodity of food products. The high demand of this species needs to be supported by the intensive coastal aquaculture. However, the coastal aquaculture has been jeopardized by several threats, for an example radionuclide pollutant 137Cesium (137Cs) generated from nuclear reactor wastes. The pollutant accumulation in fish occurs because of continuing exposure to the pollutant-containing medium. This research was conducted from May to June 2015 at the Laboratory of Oceanic Radioecology, Center for Technology of Radiation Safety and Meteorology, National Nuclear Energy Agency, South Jakarta. This research observed the level of bioaccumulation and distribution of 137Cs in C. altivelis bodies. Radionucleid 137Cs of 2 Bq/mL concentration was inducted to two groups of fish, i.e. medium size (average body mass of 65.8 g ) and small size (average body mass of 34.7 g ). The calculation of concentration factor values at steady state (CFss) was done to determine the level of bioaccumulation 137Cs in fish body. The distribution of 137Cs in fish body was analyzed by calculating the percentage of accumulation 137Cs in a certain organ to the total accumulation in fish body. The results showed that the value of CFss of medium size fish was 1.23 and CFss for small fish was 2.01. It means that small size fish accumulated 137Cs almost twice as much as larger fish. The accumulation of 137Cs in C. Altivelis was found most in its muscle (meat), which was 63.34%. This research findings provide reason for us to be more careful in consuming humpback grouper fish coming from 137Cs polluted water due to the impact of biomagnifications of 137Cs in fish.
An Approach Using Adaptive Weighted Least Squares Support Vector Machines Coupled with Modified Ant Lion Optimizer for Dam Deformation Prediction

A dam deformation prediction model based on adaptive weighted least squares support vector machines (AWLSSVM) coupled with modified Ant Lion Optimization (ALO) is proposed, which can be utilized to evaluate the operational states of concrete dams. First, the Ant Lion Optimizer, a novel metaheuristic algorithm, is used to determine the punishment factor and kernel width in the least squares support vector machine (LSSVM) model, which simulates the hunting process of antlions in nature. Second, aiming to solve the premature convergence phenomenon, Levy flight is introduced into the ALO to improve the global optimization ability. Third, according to the statistical characteristics of the datum error, an improved normal distribution weighting rule is applied to update the weighted value of data samples based on the learning result of the LSSVM model. Moreover, taking a concrete arch dam in China as an example, the horizontal displacement recorded by a pendulum is used as a study object. The accuracy and validity of the proposed model are verified and evaluated based on the four evaluating criteria, and the results of the proposed model are compared with those of well-established models. The simulation results demonstrate that the proposed model outperforms other models and effectively overcomes the influence of outliers on the performance of the model. It also has high prediction accuracy, produces excellent generalization performance, and can be a promising alternative technique for the analysis and prediction of dam deformation and other fields, including flood interval prediction, the stock price market, and wind speed forecasting.
Shelf life and eating quality of beef from cattle of different breeds given diets differing in n-3 polyunsaturated fatty acid composition.

Two experiments were conducted with 32 Charolais cross steers (experiment 1) and 36 Holstein-Friesian and Welsh Black steers (experiment 2) to examine the effects of dietary n-3 polyunsaturated fatty acids (PUFA ) and breed on meat quality. Diets were comprised of grass silage and a concentrate (60 : 40 on a dry-matter basis). Lipid in the concentrate provided 30 g/kg diet dry matter derived from either linseed, fish oil or linseed/fish oil (experiment 1); and linseed or linseed/fish oil (experiment 2). These n-3 PUFA sources were compared with Megalac, a saturated fatty acid control, in both experiments. Diets were offered for 120 days (experiment 1) and 90 days (experiment 2). Measurements of meat quality included fatty acid composition, lipid oxidation and colour during retail display (i.e. shelf life parameters) and eating quality assessed by a trained taste panel. The samples examined were sirloin (longissimus) steaks and minced beef burgers produced from the forequarter muscles infraspinatus, supraspinatus and triceps brachii. The fatty acid results showed that linseed increased the proportion of 18 : 3 n-3 (a -linolenic acid) in neutral lipid of the burgers and approximately doubled it in the phospholipid. Increased synthesis of 20 : 4 n-3 and 20 : 5 n-3 also occurred, raising their levels in the phospholipid. Fish oil doubled the proportions of 20 : 5 n-3 and 22 : 6 n-3, with the linseed/fish oil results intermediate between linseed and fish oil. The Welsh Blacks in experiment 2 had higher proportions of 18 : 3 n-3 in neutral lipid and higher proportions of 18 : 3 n-3, 20 : 5 n-3 and 22 : 5 n-3 in phospholipid. This showed a clear genetic effect on fatty acid composition. The fish oil diet in experiment 1 greatly increased lipid oxidation during retail display in both overwrapped loin steaks and burgers packed in a modified atmosphere. Values for lipid oxidation in the burgers were much higher than in the steaks due to the intimate mixing of phospholipid fatty acids and prooxidants. Lipid oxidation was also greater in the linseed/fish oil samples than controls in both experiments but was similar in linseed and controls. Colour oxidation also proceeded more rapidly in the fish oil samples in experiment 1 and tended to be faster in the linseed/fish oil groups in both experiments. Eating quality was affected by diet in experiment 1 — the fish oil samples eliciting higher scores for ‘fishy’ and ‘rancid’ than controls and having lower ‘overall liking’ scores. Steaks from animals given the linseed diet (with high 18 : 3 n-3 proportions) had the highest ‘overall liking’ scores in experiment 1 but the cattle given linseed for the shorter time in experiment 2 were not different from controls. Despite their different PUFA profile in muscle, Welsh Blacks had similar eating quality scores to Holstein-Friesians which deposited more neutral lipid (marbling fat) in muscle.
Assessing Corporate Sustainability with Repertory Grid Based Personal Construct Psychology

Corporate sustainability (CS) is becoming a key feature for preparing an organization for the future challenges of its competitive environment. It has expanded from corporate social responsibility (CSR) by adding the dimensions of ethical, environmental, economic and cultural responsibility whilst asking for a long-term perspective of sustainability for the aforementioned subjects. This paper summarizes the concept of corporate sustainability focusing on the most relevant topics of recent scientific literature. The findings are compared to the results of 61 repertory grid interviews to evaluate how far corporate sustainability is already carried into practical notion. It is tested whether this type of interview technique and the underlying theory of personal constructs allow a visualization of the CS status of an organization. In addition, this article gives a brief outlook on the interconnection of leadership, corporate culture and corporate sustainability.
Performance Evaluations of Gaussian Spatial Data Classifiers Based on Hybrid Actual Error Rate Estimators

Discrimination and classification of spatial data has been widely mentioned in the scientific literature, but lacks full mathematical treatment and easily available algorithms and software. This paper fills this gap by introducing the method of statistical classification based on Bayes discriminant function (BDF) and by providing original approach for the classifier performance evaluation. Supervised classification of spatial data with response variable modelled by Gaussian random fields (GRF) with continuous or discrete spatial index is studied. Populations are assumed to be with different regression parameters vectors. Classification rule based on BDF with inserted ML estimators of regression and scale parameters is studied. We focus on the derived actual error rate (AER) and the approximation of the expected error rate (AEER) for both types of models. These are used in the construction of hybrid actual error rate estimators that are spatial modifications of widely applicable D and O estimators applied in cases of independent observations. Simulation experiments are used for comparison of proposed AER estimators by the minimum of unconditional mean squared error criterion for both types of GRF models.
Protective Effects of Ligularia fischeri and Aronia melanocarpa Extracts on Alcoholic Liver Disease (In Vitro and In Vivo Study)

Hepatic protective effects of Ligularia fischeri (LF) and Aronia melanocarpa (AM) against alcohol were investigated in vitro and in vivo test. LF, AM, and those composed mixing material (LF+AM) were treated in HepG2 cell. Alcohol dehydrogenase (ADH) and acetaldehyde dehydrogenase (ALDH) activities were significantly increased in each singleness extract and mixed composite. The protective effect on alcoholic liver damage was investigated by animal models. Serum alcohol level and acetaldehyde level were significantly decreased by LF+AM treatment in acute experimental model. In the chronic mouse model study, we had found that the increased plasma liver damage index (alkaline phosphatase) by alcohol treatment was declined by oral administration of LF+AM extraction composite. As well as, it was identified that the protection effect was induced by increasing catalase activity and suppressing COX-2, TNF-α, MCP-1, and IL-6 mRNA expressions. CYP2E1 mRNA expression was also increased. These results suggest that oral ingestion of LF and AM mixed composite is able to protect liver against alcohol-induced injury by increasing alcohol metabolism activity and antioxidant system along with decreasing inflammatory responses.
Aggression Behaviour among Adolescents andYoung Adults

Adolescents are not capable to manage with the extreme changes that take place in their physical & psychological health. The psychologi cal problems in this age period occur due to disturbed relationship with parents, teachers, seniors and peers, scholastic backwardness compared to high expectation, sexual experimentation and substance abuse. The present study has focused on the level of Aggression among adolescents and young adults.For the conduct of the current study 60 students in the age group of 14-24 are collected from Coimbatore city schools and colleges through random sampling. The variables for the present study were gender, age;adolescent's living with parents/without parents and adolescents with single/dual parents.The tool used was Aggression scale by Dr.(Mrs.) G.P. Mathur and Dr.(Mrs.) Raj kumari Bhatnagar(2012). Each statement describes different forms of individual's aggression in different situations. It has 5 points scale. In this scale statement are in two forms i.e. positive and negative. The samples were subjected to percentile scoring and chi square. The result found that girls having high aggression level compared to boys. Adolescent's having high aggression than young adults. Children who are living without parents also falling under high aggression than children living with parents. Regarding parenting type, children who having single parent shows high aggression level than those of dual parent children.
Evaluation of Two Kurdistan-Iraq Crude Oil (T-21A, PF2) by Derivatographic Method

Evaluation of crude oil and its residue using derivatography, is one of the most common physical and chemical methods analytical research. Crude oil residues 350+ obtain from two Iraq-Kurdistan crudes (Tawke T-21A well and Shekhan PF2 well) by using atmospheric distillation after removing all volatile fractions. The sample characterized by direvatographic method. The thermo analysis, reactions were carried out at temperature range 20700°C for reaction time 68 min. These derivatograph curves show the weight change and heat energy (Enthalpy) change as the function of time and temperature. It shows that the crude oil residues have different composition. The curve which marks the weight changes of the sample heated is the thermogravimetric curve, TGA. Whereas the curve, which records heat energy or enthalpy changes during thermal decomposition is the DTA or differential thermoanalytic. By means of the derivatograph, it is possible to record simultaneously curve of weight change (TG), and enthalpy change (DTA) as a function of temperature. This method analysis shows good evaluation of these two crude oil well. Original Research Article Simo et al.; IRJPAC, 21(4): 38-46, 2020; Article no.IRJPAC. 55635 39
Electric vehicles: Network modelling and future research needs

The objective of this review paper is to review the concept of electric vehicles and their network modelling approaches and future research needs . Electric vehicles are an effective solution for reducing of greenhouse gas emissions and pollutions present in our surroundings. As we all know demand of electric vehicles is much more but still electric vehicles are evolving and limited. This review paper first deals with the concept of electric vehicles, market share their characteristics and charging facilities. Then after study about traffic assignment problems and problems related to charging of electric vehicles. Moreover these vehicles are noiseless, pollution free and less maintenance. [1]
Postsettlement Changes in Natural Fire Regimes and Forest Structure

Heavy livestock grazing, logging, and fire exclusion associated with Euro-American settlement has brought about substantial changes in forest conditions in western forests. Thus, old-growth definitions based on current forest conditions may not be compatible with the natural conditions prevalent throughout the evolutionary history of western forest types. Detailed analysis of data from two study areas in the southwestern ponderosa pine type suggests that average tree densities have increased from as few as 23 trees per acre in presettlement times to as many as 851 trees per acre today. Associated with these increases in tree density are increases in canopy closure, vertical fuel continuity, and surface fuel loadings resulting in fire hazards over large areas never reached before settlement. In addition, fire exclusion and increased tree density has likely decreased tree vigor (increasing mortality from disease, insect, drought, etc.), herbaceous and shrub production, aesthetic values, water availability a.
CSR and Financial Performance: A Study and Application in Mining Companies in Indonesia

The purpose of this study is to uncover the implementation of CSR and the acquisition of financial performance in mining companies in Indonesia. This research was conducted at PT. Donggi Sinora Banggai Regency and PT. Indonesia Morowali Industrial Park (IMIP), Morowali Regency: both companies are located in Central Sulawesi, Indonesia. The data was collected through observations, indepth interviews, and analysis on related documents. Using descriptive qualitative analysis, this study finds that both mining companies have implemented CSR using Triple Bottom Line approach (People, Profit and Planet), which can improve their financial performance and affects the company and community in a sustainable manner.
Online Latent Dirichlet Allocation with Infinite Vocabulary

Topic models based on latent Dirichlet allocation (LDA) assume a predefined vocabulary. This is reasonable in batch settings but not reasonable for streaming and online settings. To address this lacuna, we extend LDA by drawing topics from a Dirichlet process whose base distribution is a distribution over all strings rather than from a finite Dirichlet. We develop inference using online variational inference and -- to only consider a finite number of words for each topic -- propose heuristics to dynamically order, expand, and contract the set of words we consider in our vocabulary. We show our model can successfully incorporate new words and that it performs better than topic models with finite vocabularies in evaluations of topic quality and classification performance.
Applying the FESTA methodology to automated driving pilots

This paper discusses the methodological challenges related to automated driving (AD) pilots in the real world, providing an overview of some of the solutions offered by the H2020 project L3Pilot. The FESTA methodology was developed in Europe in 2008, as part of the FP7 FESTA project, to provide guidance on a suitable methodology for conducting Field Operational Tests (FOTs). Although the overall methodology has been developed quite extensively for driver support systems, our efforts in the L3Pilot project show that the evaluation process can also be adapted to suit the needs of AD pilot projects, as long as some caveats related to the pilot nature of AD studies are acknowledged. This paper discusses how to use the FESTA methodology, and recommends an adapted FESTA V to be applied to an AD pilot made for the L3Pilot project.
COOPERATIVE SPECTRUM SENSING IN COGNITIVE RADIO

Abstract: As we all are aware about the rapid raise in wireless communication has huge demand. Spectrum sensing acts a key role part in (CR)network to highlight presence of the resource . This project focuses on the issues of Spectrum sensing in detection performance in process is usually compromised with the multipath. Cast of shadow over and receive uncertain errors. To alleviate the consequences of these errors Cooperative been shown that well organized methodology to intensify the detection performance. We also talk about the performance of the CR for 5th generation & if possible route the frequency allocation . Taking into count many detection performance of cooperative secondary users, we have gather a completely unique reliability based decision combination program where weight is assign to each and every secondary user local conclusion supported its reliability . As the grasp of local prospect of detection and warning for every secondary detector might not be aware of the practice , we also employ a counting process to reckon these probabilities supported past global and native decisions. Keywords: (CR), spectrum sensing, false alarm, cognitive spectrum
Intellectual Capital Efficiency And Corporate Market To Book Value Of Non-Financial Firms Listed In Amman Stock Exchange

The primary objective of this empirical study is to examine the relationship between intellectual capital efficiency (ICE) and corporate market to book value. The study population covers all non-financial firms listed in the Amman stock exchange across the years (2013-2017), the sample covers all listed non-financial firms that disclosed required data which is related to the variables under study. The main results reveal significant relationship between each of human capital efficiency (HCE), structural capital efficiency (SCE), and capital employed efficiency (CEE) as elements of value added intellectual capital model (VAIC) and the corporate market to book value. The current study contribute to the literature in intellectual capital area in context of developing countries. Also, recommends that standards setters may expand the efforts to have better measurement and evaluation of the intangibles as it contributes majorly to the firm created market to book value.