Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Selectively Targeted Multifunctional Nanostructured Lipid Carriers for Prostate Cancer Treatment

Prostate cancer (PC) is the most common cancer in men over 50 and the 4th most prevalent human malignancy. PC treatment may include surgery, androgen deprivation therapy, chemotherapy, and radiation therapy. However, the therapeutic efficacy of systemic chemotherapy is limited due to low drug solubility and insufficient tumor specificity, inflicting toxic side effects and frequently provoking the emergence of drug resistance. Towards the efficacious treatment of PC, we herein developed novel selectively PC-targeted nanoparticles (NPs) harboring a cytotoxic drug cargo. This delivery system is based upon PEGylated nanostructured lipid carriers (NLCs), decorated with a selective ligand, targeted to prostate-specific membrane antigen (PSMA). NPs loaded with cabazitaxel (CTX) displayed a remarkable loading capacity of 168 ± 3 mg drug/g SA-PEG, encapsulation efficiency of 67 ± 1%, and an average diameter of 159 ± 3 nm. The time-course of in vitro drug release from NPs revealed a substantial drug retention profile compared to the unencapsulated drug. These NPs were selectively internalized into target PC cells overexpressing PSMA, and displayed a dose-dependent growth inhibition compared to cells devoid of the PSMA receptor. Remarkably, these targeted NPs exhibited growth-inhibitory activity at pM CTX concentrations, being markedly more potent than the free drug. This selectively targeted nano-delivery platform bears the promise of enhanced efficacy and minimal untoward toxicity.
Stability and Volumetric Properties of Colored Asphalt Mixtures Containing Iron Oxide

The objective of this paper is find the effect of using iron oxide as a filler on the Marshall stability, flow and the volumetric properties of HMA and compared the results with conventional HMA using limestone dust. Three blends were used: coarse, mid and fine with neat bitumen (AC 40-50). One aggregate type (crushed) with two types of fillers: limestone and iron oxide III (α- ) with three different filler content 6%, 8% and 10%. The Marshall mix design was conducted on the three blends and the optimum binder content is computed for each blend. The Marshall stability test results and the volumetric properties analysis showed that increasing the iron oxide content from 6% to 10% increases the stability about 28%, 17% , 16% for the coarse , mid and fine mixtures respectively. This increment in stability of mixtures using iron oxide related to the increment in specific gravity of the mix (Gmb) by (1.3% to 1.5% about 30 to 50 kg/m3). On the other hand, the flow of mixtures is decreased about (5%) for mixes using iron oxide than the ones that used limestone as filler. The fine blend with 10% iron oxide exhibit the highest stability of 13.3 kN. While the coarse blend stability was 10 kN for the same filler type and content. Generally, the Marshall Test results of HMA using iron oxide as filler showed better resistance to plastic deformation, also produce denser HMA with higher stiffness. On the other hand, the volumetric properties analysis showed lesser values as compared with conventional mixture where the void in mineral aggregates and void filled with asphalt has decreased but within the acceptable limits.
EXTENDED THEORY OF PLANNED BEHAVIOR TO EXPLAIN ENVIRONEMNTALLY RESPONSIBLE BEHAVIOR IN CONTEXT OF NATURE-BASED TOURISM

Promoting environmentally responsible behavior is important in preventing and reducing the environmental problem. This work focused on particular environmentally responsible behavior (avoiding and reducing littering). The present study extended the Theory of Planned Behavior (environmental knowledge, biospheric value, and positive emotional experience) to identify the factors influencing intended environmentally responsible behavior of tourists visiting nature based destinations in the context of Indonesia. Based on the data collected from 204 respondents through questionnaires survey using purposive sampling approach. The structural equation analysis shows that biospheric value, environmental knowledge, and positive emotional experience have a positive influence on attitude toward behavior. Besides, the result demonstrated that attitude, subjective norm, and perceived behavior control have a significant positive influence on environmentally responsible behavior intention. The findings emphasized that positive emotional experiences have a strongest influence on attitude and perceived behavior control have a strong influence on environmentally responsible behavior. This work contributes to the sustainable development goals and environmentally responsible behavior in tourism behavior literature. Although, some limitations were acknowledged in this work, practical implication and future agenda for research are provided.
Always Be Testing: The Complete Guide to Google Website Optimizer

Stop guessing, start testing, and enjoy greater success with your website. If youre looking for more leads, sales, and profit from your website, then look no further than this expert guide to Googles free A/B and multivariate website testing tool, Google Website Optimizer. Recognized online marketing guru and New York Times bestselling author, Bryan Eisenberg, and his chief scientist, John Quarto-vonTivadar, show you how to test and tune your site to get more visitors to contact you, buy from you, subscribe to your services, or take profitable actions on your site. This practical and easy-to-follow reference will help you: Develop a testing framework to meet your goals and objectives Improve your website and move more of your customers to action Select and categorize your products and services with a customer-centric view Optimize your landing pages and create copy that sells Choose the best test for a given application Reap the fullest benefits from your testing experience Increase conversions with over 250 testing ideas Save $25 on Google AdWords with coupon included in the book Take the guesswork out of your online marketing efforts. Let Always Be Testing: The Complete Guide to Google Website Optimizer show you why you should test, how to test, and what to test on your site, and ultimately, help you discover what is best for your site and your bottom line.
Sociodemographic Predictors Associated with the Willingness to Get Vaccinated against COVID-19 in Peru: A Cross-Sectional Survey

During the race for the development of a vaccine against COVID-19, even before its commercialization, part of the population has already shown a growing fear of its application. We designed an analytical cross-sectional study using an anonymous survey in the 25 departments of Peru. We surveyed whether the participants were planning on getting vaccinated, as well as other characteristics that were cross-checked in a uni-, bi- and multivariate manner. Of the 1776 respondents, 70% (1251) stated that they were planning to be vaccinated, 20% (346) did not know yet or doubted it, and 10% (179) did not want to be vaccinated. We observed that those who did not get infected with COVID-19 exhibited a higher frequency to not wanting or were uncertain about getting vaccinated (aPR: 1.40; 95% CI: 1.09–1.81; p-value = 0.008). In contrast, there was a lower frequency of vaccine refusal among university students (aPR: 0.75; 95% CI: 0.61–0.92; p-value = 0.005) and healthcare workers (aPR: 0.59; 95% CI: 0.44–0.80; p-value = 0.001); adjusted by place of residence. There is still an important percentage of respondents who do not want to be vaccinated or are hesitant to do it, which was associated with educational level, being a healthcare worker and if they were previously infected with COVID-19. Our results could offer useful information about COVID-19 vaccination campaigns.
An Empirical Study to Determine the Role of Credit in the Betterment of the Farmers’ Life: A Study with Special Reference to Cachar District of Assam

The study focuses on the significance of agricultural credit that can bring change in the life of farmers and rural people. The rural sector is mostly neglected and lacks adequate finance that’s needed to back the sector. However, there are certain financial institutions that work for the welfare of the sector and lend credit facilities to farmers and associated people, for their wellbeing. The current study majorly recognizes the impact and benefits of these credit facilities in improving the situation of farmers at several unnoticed places, including Cachar district. The present study is exploratory in nature. It has explored the role of credit in farmer’s life. The data was collected through a structured questionnaire from 283farmers of Cachar district. The statistical tools applied for the study were “Exploratory Factor Analysis (EFA)”, and “Multiple regression analysis. ” The factors identified were Economic Development, Agro Development and Family and Social Development. It was found that there is a significant role of credit in the development of all the three factors.
Customer Decision Prediction Using Deep Neural Network on Telco Customer Churn Data

Customer churn is the most important problem in the business world, especially in the telecommunications industry, because it greatly influences company profits. Getting new customers for a company is much more difficult and expensive than retaining existing customers. Machine learning, part of data mining, is a sub-field of artificial intelligence widely used to make predictions, including predicting customer churn. Deep neural network (DNN) has been used for churn prediction, but selecting hyperparameters in modeling requires more time and effort, making the process more challenging for the researcher. Therefore, the purpose of this study is to propose a better architecture for the DNN algorithm by using a hard tuner to obtain more optimal hyperparameters. The tuning hyperparameter used is random search in determining the number of nodes in each hidden layer, dropout, and learning rate. In addition, this study also uses three variations of the number of hidden layers, two variations of the activation function, namely rectified linear unit (ReLu) and Sigmoid, then uses five variations of the optimizer (stochastic gradient descent (SGD), adaptive moment estimation (Adam), adaptive gradient algorithm (Adagrad), Adadelta, and root mean square propagation (RMSprop)). Experiments show that the DNN algorithm using hyperparameter tuning random search produces a performance value of 83.09 % accuracy using three hidden layers, the number of nodes in each hidden layer is [20, 35, 15], using the RMSprop optimizer, dropout 0.1, the learning rate is 0.01, with the fastest tuning time of 21 seconds. Better than modeling using k-nearest neighbor (K-NN), random forest (RF), and decision tree (DT) as comparison algorithms.
Project management relationship to green innovation processes in sustainable fabric companies

The concept of green innovation refers to innovation that seeks to make radical or progressive improvements to products or processes that contribute to sustainable development. Green innovation can improve the global image of a business and lead to better market performance. Green innovation projects can contribute to economic growth and a positive quality of life without negatively affecting the environment. Consequently, this study aims to examine the relationship between the development of green materials resulting from green innovation and project management. To achieve the research objective, we conducted a multi-case study with companies developing green innovation derived textile. The findings show that the firms surveyed do not use formal project management to execute their green innovation projects and that their project management is intuitive. Although the companies surveyed are concerned with sustainable development and strive to innovate to satisfy their customers responsibly, their project management practices are informal. This study contributes to the practice. It is possible to introduce project management into enterprises to enhance green innovation while adapting practices or using less formal and bureaucratic techniques.
A wavelet space based approach for Doppler ultrasound blood signals separation

In medical Doppler ultrasound systems, a high-pass filter which is usually employed to filter wall clutter components, will remove the information of the low velocity blood flow. To extract intact Doppler ultrasound blood signals, a novel approach is proposed based on the spatially selective noise filtration. The wall signals are firstly estimated by the spatially selective noise filtration from wavelet spatial correlation property. Then the wall clutters are exactly obtained by a wavelet threshold de-noising technique which eliminates the residual blood flow signals. Finally the intact blood flow signals are achieved by subtracting the wall signals from the mixed signals. This approach is applied to both computer simulated and in vivo carotid Doppler ultrasound signals. The experiment results show that the wavelet space based approach can exactly extract the blood flow signals, and achieve about 45% lower results in the mean absolute error than that of the high-pass filtering. This approach is expected to be an effective method to remove the wall clutters in Doppler ultrasound systems.
TXNRD3 supports male fertility via the redox control of spermatogenesis

Thioredoxin/glutathione reductase (TGR, TXNRD3) is a thiol oxidoreductase of unknown function composed of thioredoxin reductase and glutaredoxin domains. This NADPH-dependent enzyme evolved by gene duplication within the Txnrd family, is expressed in the testes and can reduce both thioredoxin and glutathione in vitro. To characterize the function of TXNRD3 in vivo, we generated a strain of mice with the deletion of Txnrd3 gene. We show that Txnrd3 knockout mice are viable and without discernable gross phenotypes, but TXNRD3 deficiency leads to fertility impairment in male mice. Txnrd3 knockout animals exhibit a lower fertilization rate in vitro, a sperm movement phenotype and an altered redox status of thiols. Proteomic analyses revealed a broad range of substrates reduced by TXNRD3 during sperm maturation, presumably as a part of quality control. The results show that TXNRD3 plays a critical role in male reproduction via the thiol redox control of spermatogenesis.
Studies on nicotine N-demethylation in cell suspension cultures of Nicotiana tabacum L cv. Wisconsin-38

The aim of this project was to investigate the mechanism of bioconversion of added nicotine to nornicotine in cell suspension cultures of Nicotiana tabacum L cv. Wisconsin-38 and, in particular, to study the enzymology of this N-demethylation. Preliminary experiments showed that this cell line, which was established and optimised in this laboratory several years before, was still capable of converting added nicotine to nornicotine at high efficiency and was, therefore, suitable for further studies on this reaction. Radioactive feeding experiments, in which DL[pyrrolidine-2'-' 4C]-nicotine was added to 10 day old cultures, confirmed that the kinetic pattern of this Ndemethylation was similar to that of non-radioactive nicotine, and that nornicotine was the major product and was produced intracellularly with a maximum percentage conversion of approximately 70%. The appearance of nornicotine paralleled the disappearance of the added nicotine, although small amounts of four other radioactive-metabolites were observed. One of these metabolites was tentatively identified by GC-MS as N-formyl-3'-nornicotine. The properties of (-)-nornicotine produced from (-)-nicotine by 10 day old cell cultures were determined using both, polarimetry and chiral gas chromatography. The results obtained, which were convincingly consistent, showed that the nornicotine produced was exclusively one enantiomer. This provided strong evidence that the bioconversion of nicotine by tobacco cultures does not involve opening of the pyrrolidine ring. It is possible that the mechanism of nicotine bioconversion by cultured cells might differ from that proposed for the plant, in which a partially racemized mixture of (+)and (-)-nornicotine has been reported. This could be the result of the opening and closing of the pyrrolidine ring during bioconversion. A radioactive enzyme assay procedure developed, using cell-free preparations of tobacco cell cultures, has showed for the first time that the enzyme(s) which catalyses this N-demethylation is present in tobacco. The enzyme(s), which has been fully characterised, has a Km of 7.4DM and a Vmax of 7.6 x 1 O 2pKat and appears to be NADPH dependent. Subcellular fractionation of the homogenate using isopycnic
COVID-19 Pandemic and Higher Education in Nigeria: The Reality and a Call for Sustainable Digitalization

Considering its derivable benefits, the significance of higher education to the production of societal skilled work force cannot be overemphasized. Education at this level is instrumental to a just and egalitarian society, hence, its continuous relevance to national development. However, global emergency health challenge truncates teaching-learning activities across all levels of education, higher education inclusive. The challenges include school closure, distortion of academic calendar and students’ loss of access to formal physical learning environment. This paper, therefore, explores the reality of COVID-19 pandemic on Higher Education in Nigeria. Viewing this through the lens of global health challenge, with specific domestication to Nigeria, the paper was based on secondary data, sourced from existing resources, using the desk research method to establish how COVID-19 has disrupted Higher education activities. The paper contributes to knowledge, provides justification for accurate, reliable and evidence-based practical accounts of Higher Education Institutions activities during pandemic and advocates for an introduction of a sustainable digitalization of higher education services. This is with a view to promoting the deployment and applications of digital solutions (such as Learning Management System, Microsoft teams, ClassDojo, Google meet, Zoom, Google classroom, Moodle and others) for teaching, learning and other higher education management activities in Nigeria.
Genetic variability and interrelationships among agronomic traits in chickpea (Cicer arietinum L.) genotypes

To determine the association between genetic parameters and traits in chickpea (Cicer arietinum L.) genotypes, a field experiment was conducted with 17 chickpea genotypes using a randomized complete block design with four replications at the Ilam Agricultural and Natural Resources Research Center in the 2004 growing season. Genetic parameters including genetic, environmental and phenotypic variances; coefficients of variation; heritability; genetic advances; correlation coefficients and path coefficients were estimated, and cluster analysis was performed. Heritability values were greater for number of days to 50% maturity (98.43%), number of days to 50% flowering (98.19%), plant height (58.87%), number of secondary branches (45.81%), number of primary branches (42.03%) and number of seeds per plant (35.42%), indicating that these traits are controlled mainly by additive genes and that selection of such traits may be effective for improving seed yield. Number of seeds per plant and 100-seed weight had a positive direct effect on seed yield. Number of seeds per plant, number of secondary branches, 100-seed weight, number of pods per plant, number of primary branches and plant height also had positive and highly significant phenotypic correlations with seed yield. Stepwise regression analysis indicated that number of seeds per plant and 100-seed weight explained 96% of total yield variation. It can be concluded that seed yield in chickpea can be improved by selecting an ideotype having greater number of secondary and primary branches, as well as higher number of pods per plant, number of seeds per plant and 100-seed weight.
Human Resource Development Review’s 20th Anniversary of Publication: Main Topics and Influence

To celebrate Human Resource Development Review’s (HRDR’s) 20th anniversary of publication, I was asked by the HRDR Editor-in-Chief to conduct a topic analysis of HRDR articles over the past two decades. The purpose of this study, therefore, is to identify major topics from all HRDR articles published from 2002–2021 by reviewing keywords and citation frequency. After identifying 394 articles (excluding editorials), the main topics and the most influential articles were identified. Literature review articles followed by employee engagement were the most frequently cited over the past 20 years. In the future, there is a need to conduct more in-depth analysis to better understand the relevant topics and influence of HRDR articles using accurate categories and advanced techniques.
That's interesting: An examination of interest theory and self‐determination in organisational cybersecurity training

With government and industry experiencing a critical shortage of trained cybersecurity professionals, organisations are spearheading various training programs to cultivate cybersecurity skills. With more people working from home and the existing cybersecurity staff shortages, cybercriminals are increasingly exploiting new and existing vulnerabilities by launching ubiquitous cyberattacks. This study focuses on how to close the gap in cybersecurity skills through interest cultivation and self‐determined motivation. Our study shows that situational interest (SI) in cybersecurity along with situational motivational determinants (i.e., perceived learning autonomy and perceived relatedness) engendered self‐determined motivation toward cybersecurity training. Consequently, self‐determined motivation facilitated actual learning behaviour. Meanwhile, individual interest in cybersecurity created positive moderating effects in the relationships between self‐determination and its key antecedents (i.e., perceived relatedness and situational interest). Based on these findings, we provide research implications accordingly.
Transformation pathways towards sustainable urban development by the inclusion of peri-urban farmland in green infrastructure strategies

Urbanization and agricultural land use are two of the main drivers of global changes with effects on ecosystem functions and human wellbeing. Green infrastructure is a new and promising approach in spatial planning contributing to sustainable urban development, but rarely considers spatial and functional potentials of utilizable agricultural land as an integral part. This doctoral thesis addresses this gap and investigates how peri-urban farmland can promote green infrastructure and sustainable urban development. The results contribute to the conceptual understanding of urban green infrastructures as a strategic spatial planning approach that incorporates inner-urban utilizable agricultural land and the agriculturally dominated landscape at the outer urban fringe. Four strategies are introduced for spatial planning with the contribution to a strategically planned multifunctional network. Finally, this thesis sheds light on the opportunities that arise from the integration of peri-urban farmland in the green infrastructure concept to support transformation towards a more sustainable urban development. This work concludes that the linkage of peri-urban farmland with the green infrastructure concept is a promising action field for the development of new pathways for urban transformation towards sustainable urban development. Along with these outcomes, attention is drawn to limitations that remain to be addressed by future research.