Miracle-dz/UniFAR-FTUs huggingface dataset:
AN INVESTIGATION OF THE BIOLOGICAL FUNGICIDAL ACTIVITY OF SOME ESSENTIAL OILS USED AS PRESERVATIVES FOR A 19 CENTURY EGYPTIAN COPTIC CELLULOSIC MANUSCRIPT

The main goal of this work was to investigate the biological fungicidal activity of some commercial essential oils of tea tree, lavender and thyme, which were to be applied as alternative preservatives for ancient manuscripts. To achieve our goal, model samples of cellulosic paper were made to mimic the original manuscript, which was a Coptic manuscript known as Pascha (the sacred week), dated 1812. Twenty-three microorganism strains were isolated representing twelve fungal taxa and one bacterial taxa which were identified in all collected and analyzed in samples, which included Trichoderma viride, Penicillium roqueforti, Eurotium chevalieri, Aspergillus flavus and Bacillus subtilis. A scanning electron microscope (SEM) was used to investigate the growth of the associated microorganisms and their effect on the sample paper structure. Different concentrations of the aforementioned essential oils were applied on the mimic samples, which were then subjected to accelerated ageing corresponding to 25 or 50 years of a natural one. To characterize the applied oils on the samples, we made records by using FTIR-ATR, color measurements according to CIELAB system, and analyzed the mechanical properties of the tested samples. The results revealed that the samples treated with either tea tree oil or lavender oil, had ΔE values that decreased as the oil concentration increased. However, when samples were treated with thyme oil the reverse was obtained. For the treated samples exposed to 25 years of light ageing, we noticed that the higher obtained tensile strength and % elongation of treated samples followed the ranking order: thyme > lavender > tea tree oils. For the treated samples that were exposed to 50 years of natural light ageing, we observed that almost all tensile strength and elongation values of the treated samples were higher than that of the untreated ones. Moreover, we noticed that the inhibition of growth of the microorganisms was obtained at a low concentration of tea tree oil (0.25% v/v). This treatment was esthetically acceptable for archaeological objects, because it was colorless, transparent and safe. Based on the results we obtained, the optimized essential oil, which is the oil with an appropriate concentration, was selected to be added to the cellulosic pulp used for the leaf casting. Moreover, the same optimized essential oil was applied on the paper samples to be used as separators between the ancient manuscript pages. After dismantling, cleaning, leaf casting and rebinding of the damaged parts, the manuscript is then preserved.
Disjunctive Scheduling with Setup Times: Optimizing a Food Factory

We propose a new approach to solve scheduling problems applied to a food factory. The goal is to schedule the recipes in a way that minimizes the total setup time. Our model allows splitting a recipe in two batches if necessary. It also considers other specific constraints like avoiding too long setup on a day shift, having a maximum of tasks done during days shift, etc. A good heuristic based on the idea of scheduling the most difficult tasks as soon as possible is presented.
TRANSIENT GUST EFFECTS ON FLOW PAST A BLUFF BODY

The motivation for this work arose from the primary assumption of the current practice of boundary layer wind tunnel testing-that atmospheric velocity variations can be adequately modeled by stationary mean and turbulent flow properties. In the field, extreme wind loads result primarily from weather events where non-stationary gusts, transitional flow structures and rapid wind directionality changes may play a significant role. This work sought to investigate one such phenomena, specifically, the non-stationary gust. A number of active turbulence generation schemes have been developed to produce very large integral scales. These techniques generally involve a combination of grids, flaps, and airfoils that are forced to oscillate or arrays of individually-controlled fans Ref. [1, 2]. While such devices are useful for generating a large range of turbulence scales and spectra, they have not generally been used to simulate the non-stationary gusts that can occur in thunderstorms or hurricanes. Hurricanes have been observed to produce wind gusts in the range of 10% ∼ 40% of the mean velocity Ref. [3]. The boundary layer wind tunnel at Iowa State University (ISU) has an active bypass duct system that can generate large-scale gust events up to 25% at a rate of 0.4 ∼ 10.0 m/s Ref. [4]. The focus of this study was essentially on the reaction of the separating and reattaching shear layers to the incident gusts. Some researchers Ref. [5] have observed shear layer behavior under sinusoidal perturbations to order to identify frequency ranges most effective at altering shear layer behavior (such as reattachment length). The current effort sought to complement such studies but with a focus on non-stationary gusts. This meant seeking time scales and structures of gusts that might be most effective at altering shear layer structure and in turn altering surface pressure distributions. This study investigated the effects of non-stationary gusts on a rectangular cylinder. Both experimental and numerical simulations were conducted. The experimental approach employed the ISU boundary layer wind tunnel. The computational approach employed a discrete vortex simulation developed specifically for this project. Due to the complex nature of this fluid structure interaction, this problem remains computationally taxing. The discrete vortex approach was chosen because it focuses computational resources on the regions of primary interest, that
Author's personal copy Induction of podoplanin by transforming growth factor-b in human fibrosarcoma

Podoplanin/aggrus is increased in tumors and its expression was associated with tumor malignancy. Podoplanin on cancer cells serves as a platelet-aggregating factor, which is associated with the metastatic potential. However, regulators of podoplanin remain to be determined. Transforming growth factor-b (TGF-b) regulates many physiological events, including tumorigenesis. Here, we found that TGF-b induced podoplanin in human fibrosarcoma HT1080 cells and enhanced the plateletaggregating-ability of HT1080. TGF-b type I receptor inhibitor (SB431542) and short hairpin RNAs for Smad4 inhibited the podoplanin induction by TGF-b. These results suggest that TGF-b is a physiological regulator of podoplanin in tumor cells. 2007 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
Safety and efficacy of interleukin inhibitors in elderly patients with rheumatoid arthritis, psoriasis, and psoriatic arthritis

Elderly patients with rheumatoid arthritis, psoriasis and psoriatic arthritis encompass those with elderly-onset disease, over 60 years of age, but also those with earlier disease onset who entered old age. Considering the age-related changes of the immune system, possible frailty, susceptibility to infection and concomitant comorbidity that implies multiple medicines, the treatment of these diseases in elderly patients can be challenging. Interleukin inhibitors have been shown to be an efficient and safe treatment for these diseases. However, elderly patients with these diseases were often included in the pivotal clinical trials for interleukin inhibitors in numbers insufficient to determine whether they responded differently from younger subjects. The aim of this paper was to review the findings on the efficacy and safety of interleukin inhibitor treatment in elderly patients with rheumatoid arthritis, psoriasis, and psoriatic arthritis. The findings suggest that, for all the interleukin inhibitors reviewed herein, used in elderly patients with rheumatoid arthritis, or with psoriasis and psoriatic arthritis, the efficacy was comparable to younger patients. Furthermore, the incidence of reported adverse events was similar in these two age groups. Severe adverse events, which were related to sarilumab treatment for rheumatoid arthritis and secukinumab treatment for psoriasis, were higher in elderly patients. The reviewed findings suggest that the interleukin inhibitors approved and currently in use in clinical practice for the treatment of rheumatoid arthritis, psoriasis, and psoriatic arthritis can be considered a safe and efficient option for these diseases in elderly patients.
ENHANCING WOMEN EMPOWERMENT THROUGH CHEMISTRY ENTREPRENEURSHIP EDUCATION USING METACOGNITIVE PROBLEM SOLVING STRATEGY

This study investigated Enhancing Women Empowerment through Chemistry Entrepreneurship Education using metacognitive problem solving strategy. This method is geared towards equipping women in the society with knowledge and skills to convert innovations from researches in chemistry into marketable products for commercial gain. One objective, a research question and a null hypothesis were generated to guide the study. The design of the study was a quasi-experimental pretest-posttest non-equivalent-control-group design, involving one experimental group and one control group. The experimental group was exposed to metacognitive problem solving strategy while the control group was taught using lecture method. A sample size of 74 Senior Secondary One (SS 1) Chemistry students selected from two single sex secondary schools in Zaria was used; drawn from population of 724 students out of 5single sex girl schools. The instrument used for the study was a twenty-five-item multiple choice Chemistry Entrepreneurship Performance Test (CEPT) which was validated by experts and used for data collection. Means, standard deviation and t-test was used to answer the research question and test the null hypothesis. The result showed that; students exposed to metacognitive problem solving strategy performed significantly better in the Chemistry Entrepreneurship Performance Test (CEPT) than those taught with lecture method. Based on the findings, conclusions were drawn and the educational and economic implications were discussed. Among the recommendations made was that Chemistry teachers especially those in single sex girls schools, at all levels of education should employ the use of Metacognitive problem solving strategy to teach chemistry and hence it has the potential that encourages women to become creative thinkers in chemistry entrepreneurship education. By doing this the women (girlchild) are being empowered to become wealth creators since many of the household materials used domestically are the products of innovations from chemistry.
GENDER DIFFERENCES IN AGGRESSIVE BEHAVIOURS AMONG JUNIOR SECONDARY SCHOOL STUDENTS IN AWKA-SOUTH LGA OF ANAMBRA STATE, NIGERIA: COUNSELLING IMPLICATIONS

The study assessed gender differences in aggressive behaviours among junior secondary school students. The purpose of the study was to determine if there exist gender differences in aggressive behaviours among junior secondary school students in Awka-South LGA of Anambra State, Nigeria: Counselling Implications. One research question and one hypothesis were formulated and tested at 0.05 level of significance. Descriptive survey research design was adopted for the study. The population of the study comprised of all the 1,345 junior secondary school students in AwkaSouth LGA of Anambra State. A total of 366 students were sampled using non-probability sampling technique. The instrument used for data collection was Aggressive Behaviour Checklist (ABC). The validity of the instrument was done by three experts, two from Measurement and Evaluation and one from Counselling Psychology. The reliability of the instrument was 0.73, determined using Cronbach alpha method. Data collected were analyzed using mean and standard deviation for the research question while t-test was used to test the hypothesis at 0.05 level of significance. Results showed that there is a significant gender differences in the display of direct aggression form, where boys exhibit higher direct aggressive behaviours than girls. In verbal and indirect forms of aggression there are no significant differences between boys and girls. It was concluded that counsellors’ intervention is a panacea to curb aggressive behaviours especially direct aggression among adolescents regardless of the gender. Recommendations were made among which is that parents and guardians should act as models for their children by not being aggressive.
The Influence of Pay Satisfaction and Organizational Commitment on Turnover Intention on Employees of PT. Bank Muamalat Indonesia, Tbk Medan

Turnover can cause problems for the company. Therefore it is important for organizations to know the main factor that influence turnover intention. This study aims to analyze the effect of pay satisfaction on turnover intention on permanent employees of PT. Bank Muamalat Indonesia, Tbk Medan. This research using all the subject in population, that is all permanent employees of PT. Bank Muamalat Indonesia, Tbk Medan. Data collection method in this study is using likert scale, namely turnover intention scale and pay satisfaction scale. The results were analized statistically using multiple regression, and it shows that pay satisfaction have significant effect on turnover intention even it is on a little impact. High pay satisfaction can reduce employee turnover intention, so the implication of this research is organizations can concern on the pay satisfaction on every each employee. Keywords— Turnover intention, pay satisfaction, organizational commitment, bank muamalat, permanent employees.
Financial analysis and ESG integration

The position paper “Financial analysis and ESG integration” addresses the main issues related to the integration of environmental, social and governance factors (ESG) into the financial analysis used to assess a corporate security: it is a compass for professionals who start to deal with this subject more deeply and in practice. The essay focuses on extra-financial principles and information underlying sustainable business strategies with long-term sources of value and measurable financial impacts.
Molecular technology for high efficient utilization of lignocellulosic biomass

Lignocellulosic biomass, the most abundant renewable resources on the earth, provides main raw materials for production of paper, chemicals, textile products, bioenergy and so on. Lignocellulosic biomass mainly consists of three biopolymers: cellulose, hemicellulose and lignin. The utilization of these biopolymers is determined by their compositional and structural properties. Modification of the biopolymers through molecular technology promises more efficient utilization of lignocellulosic biomass. This review summaries the recent progress on the biosynthesis and molecular modification of three biopolymers and offers perspectives of molecular technology for lignocellulosic biomass modification.
“The Cost of Political Tension: An Anatomy”

The paper examines how increased political tension affects stock returns and identifies the channels through which this occurs. Focusing on Taiwan’s sovereign debate, we find that non-violent events harming the political relationship with mainland China are associated with an average daily drop of 200 basis points in Taiwanese stock returns. Expectations of mild tension also adversely affect stock returns. The impact is stronger on firms located close to potential conflict zones and on Taiwanese firms openly supporting the pro-independence party. The adverse effect on political opponents concentrates on those firms economically exposed to mainland China through either investments or exports. JEL classification: F51, G14, G15
Determinants of Deposit Mobilization of Private Commercial Banks: Evidence from Bangladesh

This study examines the impact of firms-specific variables and macroeconomic variables on the deposit mobilization of private commercial banks in Bangladesh using panel data regression methodology. In this study, 14 conventional private commercial banks have been observed over ten years (2007-2016). The results of this study provide evidence that total deposit (as measured by company size) has significant negative impact on the deposit mobilization (as measured by banks deposit growth rate) and broad money supply growth rate has significant positive impact on the banks deposit growth rate whereas the rest of the selected variables i.e. number of banks branches, deposit interest rate, loan-to-deposit ratio, Gross Domestic Products (GDP) growth rate, inflation rate have no significant impact on the banks deposit growth rate of the private commercial banks in Bangladesh. These results will obviously provide some noteworthy information to researchers, financial analysts, banking policy makers and supervisory authorities.
PII: S0042-6989(01)00141-9

Using synthetic objects, I investigate whether recognition performance is sensitive to different features of cast and attached shadows. Participants were required to recognise familiar objects presented to central vision while the presence, position and shape of cast and attached shadows were systematically manipulated. Costs in response time were found for naming objects in incongruent lighting and shadow conditions, that is, when the object was presented with a cast shadow that originated from a different object and when it was also non-congruently illuminated (e.g. attached shadow indicating that the source of light was from the left, and cast shadow indicating that the source of light was from the right). © 2001 Elsevier Science Ltd. All rights
Simultaneous determination of metformin, vildagliptin, and 3-amino-1-adamantanol in human plasma: Application to pharmacokinetic studies

ABSTRACT Metformin (MET) and vildagliptin (VLD) are coformulated in tablets for the management of diabetes mellitus. The aim of this study is the development of a new fast ultraperformance liquid chromatography method with tandem mass detection (UPLC–MS/MS) for their simultaneous determination with 3-amino-1-adamantanol (starting compound for vildagliptin synthesis; VLI) in human plasma. Separation of MET, VLD, and VLI was performed on a 5 cm UPLC-C18 column using a mobile phase of 0.5% acetic acid in methanol and 0.02 M aqueous ammonium acetate (10:90, v/v). The injection volume was 10 µL and electrospray positive ionization was applied. Extraction from human plasma was carried out by acid precipitation of plasma proteins using pregabalin as an internal standard. The assay was validated according to ICH guidelines. The developed method is valid, fast, and simple and was successfully applied in pharmacokinetic studies in human volunteers. GRAPHICAL ABSTRACT
Carboxyterminal telopeptide structures of type I collagen in various human tissues

Type I collagen is the main connective tissue protein in vertebrates. The cross-linking and correct organisation of the molecules is crucial for the proper function of the tissue. Traditionally collagen cross-linking has been studied using chemical cross-link analyses. However, this does not distinguish between the collagen types or the location of the cross-link within the molecule. The focus in this work was to study the carboxyterminal telopeptide domain of type I collagen for the differently cross-linked forms. An immunochemical approach was used and a new immunoassay, SP4, was developed for the detection of immaturely cross-linked peptide forms. The differently cross-linked structures were purified and characterised from human bone by using SP4 together with the earlier developed ICTP assay for trivalently cross-linked C-terminal telopeptide form. It was found that the majority of the trivalent cross-links in the C-terminal telopeptide were presently unknown structures, other than pyridinoline. A non-cross-linked form of C-terminal telopeptide of α1-chain of type I collagen was also discovered in bone. The epitope of the ICTP assay was characterised and found to reside in the phenylalanine rich region of the ICTP peptide. MMP-9, but not cathepsin K, mediated breakdown of the collagenous matrix was found to produce a peptide detectable by the ICTP assay. Healthy human Achilles tendon comprises mainly of type I collagen. In ruptured Achilles tendons, an increased type III collagen content was found. Since the synthesis of type III collagen was not increased, it is postulated that the type III collagen must have accumulated over a long period of time indicative of a long-lasting microtraumatic process in the tendon before the total rupture occurred. The ICTP content was increased and the ratio of SP4 to ICTP decreased in calcified stenotic aortic valves suggesting a change in the molecular organisation and cross-linking towards the type found in human bone. The total collagen content was dramatically decreased in the calcified valves. Both in the Achilles tendons and in the aortic valves, the ICTP content was found to decrease with age with a concomitant increase in the variants of the C-terminal telopeptide structures detectable with the SP4 assay, pointing to a change in the molecular organisation of the collagenous matrix in these tissues.
Application of machine learning technique in predicting condensation heat transfer coefficient and droplet entrainment rate

Machine learning technique is a useful method for constructing models that infer specific answers or interpret complex systems based on data including input parameters and output. Due to this characteristic, recently, many researches have been actively conducted to develop a model that predicts thermal-hydraulic phenomena using machine learning [1-10]. In general, thermal-hydraulic models are developed by analyzing the relationship between key parameters and hundreds or thousands of experimental data. At this time, machine learning can be effectively used in the step of finding the relationship between key parameters and data. This is because a machine learning method is specialized in finding complex relationships between data. However, hundreds or thousands of experimental data are a small quantity to be used as training data for machine learning. If the amount of data is small, the machine learning model may be overfitting, resulting in low generalization performance. In this study, the problem of an insufficient amount of data was solved through pseudo data produced by using the existing thermal-hydraulic correlations [4]. Through several studies [4, 11-15], it has been confirmed that a model with a deep neural network structure exhibits superior problem-solving ability. Therefore, to build a machine learning model with good prediction performance, DenseNet [15], the latest deep learning algorithm based on convolution neural network (CNN), was applied for data training. This study is a step to confirm the applicability of machine learning techniques using pseudo data to predict thermal-hydraulic phenomena. Two phenomena were used as confirmation objects. The first one is condensation heat transfer occurring in the passive containment cooling system (PCCS), and the second one is a phenomenon in which droplets are separated from the liquid film under the annular-mist flow condition formed in the reactor core of the reflood phase. Experimental data and existing correlations for the two phenomena were collected, and each correlation was evaluated using the experimental data. Based on the evaluation results, pseudo data to be used for training was generated. The machine learning model trained on these data was assessed using the collected experimental data.