Miracle-dz/UniFAR-FTUs huggingface dataset:
THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF ENGINEERING SCIENCE AND MECHANICS USING COMPUTATIONAL NARRATOLOGY TO ADDRESS THE ARTIFICIAL INTELLIGENCE VALUE ALIGNMENT PROBLEM

This thesis provides a novel conceptual contribution to artificial intelligence (AI) safety by finding a tractable method for solving the AI value alignment problem: the creation of more complete audience models using narrative information extraction techniques from the field of computational narratology. With a thorough analysis of results from the field of computational narratology, I show that research into narrative for autonomous agents can contribute to solving the AI value alignment problem. In short, we can create artificial intelligence systems that automatically act in the best interest of humanity by teaching them to read and understand stories. The novelty of this thesis lies in the combination of two disparate academic fields: AI safety and computational narratology. Reviewing the current work and ongoing issues in both fields, I show that methods used in computational narratology to model stories can be used to solve the value alignment problem from the field of AI safety. In Chapter 2, I show why value alignment is the best solution to the problem of controlling intelligent agents. In Chapter 2, I discuss how stories encode tacit human values, and how the creation of a better audience model will contribute to solving the value alignment problem. In Chapter 3, I present two case studies providing evidence that value alignment from narrative information extraction is not only viable, but effective. Finally, I conclude by acknowledging the shortcomings of the field and pressing areas of future work.
Investigating the contents of Heavy Metals in Edible Portion of Leafy Vegetables Grown Within Lagos State University, Ojo Campus

Department of Botany, Lagos State University, Ojo, Lagos, Nigeria Department of Zoology and Environmental Biology, Lagos State University, Ojo, Lagos, Nigeria Correspondence Ayotunde Abosede Adu, Email: adu_bose@yahoo.co.uk TeL:+2348037221 Abstract Introduction: Edible plants are the major source of diet, and their contamination with toxic metals may result in catastrophic health hazards. Aims: This study was conducted to analyse the heavy metal levels in Amanranthus viridis, Celosia argentea, and Ocimum gratissimum grown in selected farmlands around Lagos State University using Atomic Absorption Spectrometers (AAS). Materials and Methods: Dry ashing method was used to destroy the organic matter to determine the content of the heavy metals. The level of the following heavy metals (Lead (Pb), Copper (Cu), Iron (Fe) and Chromium (Cr). ) were determined in the soil and edible portion of the vegetables. Results:The results showed that the mean concentration of heavy metals dry weight are: Cu(0.072± 0.014 mg/kg), Fe (0.761± 0.140 mg/kg) Pb (0.006± 0.001 mg/kg) and Cr (0.008± 0.002 mg/kg) for Amaranthus viridis,0.004± 0.002 mg/kgPb, 0.113± 0.158 mg/kgFe, 0.032± 0.003 mg/kgCu in Celocia argentea, 0.025± 0.004 mg/kgPb, 0.111±0.002 mg/kg Fe in Ocimum gratissimum were recorded in Sport center (site A). The value of heavy metal contamination obtained from School gate (site B) ranged from 0.072± 0.006 mg/kgPb to 0.742± 0.066 mg/kgFe in Amaranthus viridis, 0.007± 0.0 mg/kgPb to 0.450± 0.111 mg/kgFe in Celosia argentea, 0.030± 0.005mg/kgFe to 0.051± 0.044 mg/kgPb in Ocimum gratissimum. The value of heavy metal contamination obtained from PPL (site C) ranged from 0.037± 0.004 mg/kg -Cu to 0.559± 0.080 mg/kgFe in Amaranthus viridis, 0.011± 0.001 mg/kg Cr to 0.474± 0.151 mg/kg Fe in Celosia argentea, 0.007± 0.008 mg/kg Pb to 0.048± 0.017 mg/kg Fe in Ocimum gratissimum. Conclusion: The levels of heavy metals determined in the analyzed Vegetable samples were found to be below the permissible limits set by World Health Organization, thus they are safe for human consumption.
THE PERCEPTION OF SMALL RETAILER TOWARDS THE IMPACT OF SUPERMARKET INVOLVEMENT IN AGRO-FOOD SUPPLY CHAIN: A CASE STUDY IN BANGI

Supply chain system plays an important role in ensuring that there is a good flow of production distribution from producers to consumers. In Malaysia, a change from the traditional supply chain to new Agro-food supply chain have beefed up the retail sector. However, the strengthening of the retail sector is accompanied by an increase in the influx of supermarkets that give an overall impact in the form of competition for small retailers. Aspects of price, convenience, quality and food safety, and the customer relationships with retailers become the issues that are often referred when discussing about competitiveness in this retail sector. Therefore, this study aims to discuss the impact of the involvement of the supermarkets in the agro-food supply system to small retailers in terms of price competition, convenience, qualities and customer relations. A total number of 163 small retailers in Bangi were selected as respondents. This study utilized the Exploratory Factor Analysis (EFA) technique to fulfil the research objectives. Therefore, this study intends to examine whether all the variables identified are competition components for retailers. The results indicated that there are four factors that significantly affect competitiveness of small retailers. The discussion showed that the quality & safety of the products are not the main factors of competition for small retailers. Moreover, majority of respondents agreed that the presence of supermarkets in Bangi creates competitiveness to their businesses. In order to address this phenomenon, the implementation of policies and programs to help retailers are crucial. Transformasi Kedai Runcit (TUKAR) that has been implemented since 2011 should be utilized by retailers through their involvement. Modernization of small retailers had increased sales up to 30 percent, as demonstrated in previous pilot studies. The increase in sales indicated that customers wanted a comfortable, modern, bright and clean environment, similar to large format stores. The main purpose of TUKAR is to protect the welfare of retailers to remain competitive in the retail sector.
Evaluate the e-banking services on North Africa Bank: Case of Tripoli branch

Coping with the latest information communication technology by organizations becomes one of this era aspects. This study aims to study the e-banking services in the North Africa Bank in Libya. The quantitative approach is followed to identify the impact of six assigned factors on the implementation of e-banking in North Africa Bank. Four factors that economic characteristics, human capital, political and regulatory environment, and ICT infrastructure and services have revealed a significant influence on the implementation of the e-banking in the bank. The result of this study paves the fertile ground to make the optimal decisions toward assessing the level of bank readiness.
Agronomic Performance and Genotype × Moisture Conditions Interaction for Morpho-Physiological Traits in Durum Wheat

Fourteen promising durum wheat lines, representing the elite durum germplasm for rainfed conditions, along with three check cultivars were assessed under drought and irrigated conditions for three growing seasons. The main objectives were to (i) evaluate the agronomic performance of durum wheat genotypes under different moisture stress conditions (mild, moderate, severe) and (ii) investigate the traits significantly contributing to drought tolerance. Combined ANOVA across environments for grain yield and the traits studied showed significant differences (P < 0.01) for genotype, year, moisture condition, year × moisture condition, genotype × year, and genotype × moisture condition interactions. There were differences in trait associations across the years and moisture conditions showing that the traits were significantly affected by the year and moisture conditions effects. Heading date, plant height, spike length and SPAD-reading with low ratio of σ2ge/σ2g showed a high value for heritability. Genotypes showed specific adaptation to different environmental condition as supported by significant (P < 0.01) for genotype × moisture condition interaction. Heading date, peduncle extrusion, plant height, days to maturity and 1000-kernel weight with lower genotype × moisture interaction than grain yield, were the traits contributing the most to drought tolerance. It is concluded that these traits could aid in the selection of durum wheat subject to moderate and severe stress, particularly in early generations. Under severe water stress condition, earliness to heading was an important drought escape mechanism, but inherent drought tolerance could be inferred from responses of a few genotypes. To determine effects of GE interaction on grain yield, data were subjected to GGE biplot analysis, which identified breeding lines G16, G12, G15 and G10 as the most stable and high yielding genotypes across different moisture stress conditions that can be used in convergent durum breeding program to develop drought tolerant varieties. The breeding lines which out-yielded the check cultivars are the stand out as the best promising germplasm but present different sets of favorable traits under stressed or favorable conditions.
Mispricing and Investor Preference with Six Indicators of Blue-Chip Stocks’ Future Returns

This research involves three variables: future returns, mispricing, and investor preference. The issue is that future returns in the markets are difficult to understand, especially for beginner, amateur investors. They are advised to focus on blue-chip stocks due to their safety in the market. The objective of this research is to find a connection from mispricing and investor preference to the future anomalies as indicators of mispricing and ten measurements as indicators of investor preference leading to three anomalies of mispricing and three measurements of investor preference. The three anomalies are asset growth, net operating assets, and total returns of blue-chip stocks. The methods used are descriptive statistics and associative statistics. In this research, we adopted eleven liabilities to total assets, while the three investor preferences are beta synchronous trading, book equity to market equity, and size. The descriptive statistics show that the asset growth, net operating asset, and size of eight companies are above the mean and the others are below it. Blue-chip stocks have excellent growth in assets, high operating assets, and high market capitalization. In addition, they have low liabilities (solvable), book value to market value (high return), and beta (low market sensitivity). The associative statistics used the multiple-regression cross-section Newey–West method and conducted the examination three times; that is, it tested mispricing with three indicators, investor preference with three indicators, and additional indicators between mispricing and investor preference. The result is not significant for the investor preference and mispricing index for the future returns of blue-chip stocks. The policy implication is that there is no divergence between fundamental and price security in the types of bluechip stocks for future returns. Moreover, the institutional or individual investor does not impact future return’s stocks.
Updates in the Treatment of Superficial Gastric Neoplasms by Endoscopic Submucosal Dissection

ESD is currently the first-line of treatment in the eradication of the pre-malignant and early malignant neoplasms, demonstrating in most studies, mainly from Asia, high rates of efficiency and safety in expert hands. This also reinforces the concept of early detection of pre-malignant and malignant lesions using virtual chromoendoscopy/endoscopic magnification techniques associated with a systematic and sequential revision, based on an endoluminal endoscopic anatomy [1-3].
How Tight Should Hypertension Control in CAD Be? - A Review

It is well proved that hypertension (HTN) is a risk factor for coronary artery disease (CAD), heart failure, and stroke. It is a more powerful risk factor for acute myocardial infarction (MI) than diabetes mellitus (DM) as per data from INTERHEART study. High BP accelerates atherosclerosis and destabilizes vascular lesions and precipitates acute coronary syndromes (ACS). [1] Risk of having a fatal coronary event doubles for every 20/10 mm rise in blood pressure (BP). Hypertensive heart disease with the left ventricular hypertrophy (LVH) has impaired coronary autoregulation and reduced coronary flow reserve causing ischemia with normal coronary arteries (INOCAs). In this context, it is logical to assume that control of BP should reduce coronary risk. However, there are differing opinions on how much to reduce BP and what target to keep. Is lower the better? Are there any concerns if BP is lowered beyond a limit? This review tries to address these concerns and zero in on a target value to achieve for systolic BP (SBP) and diastolic BP (DBP) in hypertensive with CAD. Current ACC/AHA guidelines[2] recommend a blood pressure target of <130/80 mm of Hg in hypertensive with relaxation up to <140/80 mm of Hg in the elderly. The core practical concern is that attempts to lower SBP below 130 mm of Hg often lower DBP to levels as low as <60–70 mm of Hg, which may be harmful in CAD. Framingham study showed that low DBP and wide pulse pressure increase cardiovascular events.
Avaliação de Uma Rede Neural Artificial Como Modelo Regressor Para Séries Temporais

Demand prediction techniques are used in numerous industry sectors with the aim of adding value to the business of the companies, especially through the search for optimal sizing of production resources. The prediction of demand in restaurants with the intention of balancing the quantity food produced looking for better use of ingredients is a challenge, since factors like the quantity of users, the time of service and the kind of food can be quite variable in this type of problem. The study of queue, in this context, is of paramount importance, given that, knowing its characteristics, it is possible to estimate, by means of prediction, information that can improve service quality. Present work had the purpose of using models based on Artificial Neural Networks (ANN) to perform regressions in a personalized time series, generated through its own methodology with data collected in the restaurant of the IFMG Campus Bambuí. The main objective was to develop a computational model that would be able to describe the behavior for the time intervals in the restaurant customer service. Through this resource, it was possible to generate important information for decision making, such as the peak times of higher and lower demands.
Determining the Factors Affecting Investment in Punjab Agriculture

Investment is the expenditure incurred for real capital formation. A sample of 150 farmers was taken with 23 (15.3%), 28 (18.7%), 46 (30.7%), 43 (28.67%) and 10 (6.7%) farmers selected from marginal, small, semi-medium, medium and large farm size categories respectively in proportion to the share of respective category in total farmers in Punjab. Income, consumption, funds available post-consumption and investment level of the respondent farmers was worked out to find the factors that affect farm investment. Information related to education level, family type, cropping pattern and credit availability was also collected to see if they affect the level of investment. Income, consumption and funds available post-consumption were higher for larger farm households. The level of investment was higher on large farms but the investment per hectare was highest on marginal farms. The availability of credit was more on larger farms but per cent share of credit in investment decreased as the farm size increased as large farmers were using owned funds extensively. The regression analysis revealed that the size of the operational holdings, saving and the credit availability showed positive relation with the level of investment while the education level, family type and cropping intensity were non-significant.
The influence of acceptance and commitment therapy on fulfillment of adolescent's mental health development task and their coping skills

Background: Crisis development experienced by adolescents puts them at a developmental risk associated with the physiological and psychological changes. One major development task of adolescents at the time is to achieve self-identity. Therefore adolescents should have acceptance and commitment to oneself to fulfill the development task and maintain mental health coping. Many studies have found the efficacy of acceptance and commitment therapy (ACT) in patients with schizophrenia and chronic renal failure in Indonesia, but there has been no research on the effectiveness of this therapy on fulfillment of adolescent mental health, their development task and their coping. Aim: The aim of this study was to explore the influence of ACT on adolescent’s mental health development task and their coping skills. Methods: A single arm pre-post study was conducted on 37 nursing students at first grade. ACT was administered by the psychiatric nurse as a therapist. Adolescent health and development questionnaire (AHDQ) and cope inventory (CI) were used. The data was analyzed using paired t-test and ANOVA tests.
The Least-Energy Sign-Changing Solutions for Planar Schrödinger-Newton System with an Exponential Critical Growth

In 1990, the notion of critical growth in R was introduced by Adimurthi and Yadava. Soon afterwards, de Figueiredo, Miyagaki and Ruf also studied the solvability of elliptic equations in dimension two. They treated the problems in the subcritical and the critical case. In 2019, Alves and Figueieredo proved the existence of a positive solution for a planar Schrodinger-Poisson system, where the nonlinearity is a continuous function with exponent critical growth. Also, in 2020, Chen and Tang investigated the planar Schrodinger-Poisson system with the critical growth nonlinearity. Under the axially symmetric assumptions, they obtained infinitely many pairs solutions and ground states. In this work, motivated by the works mentioned above and Z. Angew. Math. Phys., 66 (2015) 3267-3282, Z. Angew. Math. Phys., 67 (2016) 102, 18, we study the planar Schrödinger-Newton system with a Coulomb potential where the nonlinearity f is autonomous nonlinearity which belongs to C and satisfies super-linear at zero and exponential critical at infinity. Moreover, we need that f satisfies the Nehari type monotonic condition. We obtain a least-energy sign-changing solution via the variational method. To be more precise, we define the sign-changing Nehari manifold. And the least-energy sign-changing solution is obtained by minimizing the energy functional on the sign-changing Nehari manifold.
THE PSYCHOLOGICAL IMPACT OF ALEX STANDALL ON THE DEATH OF HANNAH BAKER ON NETFLIX'S THIRTEEN REASONS WHY (2017)

This study aims to determine the psychological impact experienced by Alex Standall on the death of Hannah Baker, presented in the Thirteen Reasons Why series adaptation of the novel of the same title by Jay Asher. This study is a qualitative research. The data source used is the TV-series Thirteen Reasons Why first season. The data collection technique is from analyzing the series. The theory used in this study is the psychology of literature. The results of this study are as follows: first, the initial factors that triggered Alex Standall to do bad things to Hannah Baker. Second, the psychological condition of Alex Standall after making a mistake about Hannah Baker. Third, the guilty towards Hannah Baker that caused Alex Standall finally decided to end his life.
Phytochemical Constituents and Aromatic Content of Methanol and Aqueous Extracts of Dissotis rotundifolia Whole Plant

Phytochemicals existence in natural sources helps to scavenge free radicals hence, offer health benefits. The study reports the phytochemical constituents of methanol and aqueous extracts of Dissotis rotundifolia whole plant. The objective of this research was to use standard procedures to screen the phytochemical presence to determine phenolic and some other organic substances in various extracts of D. rotundifolia. Organic substances of plant extracts with concentration from 0.02 to 0.10 mg/ml were prepared and mixed with appropriate volumes of reagents to read absorbance at the respective wavelength. Methanol extract had the highest content of phenolic substances as compared to aqueous extract and the standard, ascorbic acid. The outcome of this investigation put out that extracts of D. rotundifolia whole plant consist of a variety of phytochemical compounds that can expertly defend the body against oxidative stress caused by free radicals and might consequently be used as a source of potent natural medicinal compounds or food product. Original Research Article Kweku et al.; SARJNP, 1(1): 1-5, 2018; Article no.SARJNP. 39334 2
New Class of Antimicrobial Agents

The paper is about a new class of antimicrobial functional nanomaterials. Proposed compounds are based on SBA-15 porous silica matrices and contain anchored copper ions. Thanks to the immobilization of functional groups the compounds are safer for environment than commonly used disinfectant agents. We prepared and examined silica based materials containing two concentrations of copper-containing groups: 10 and 5%. For the reference we prepared samples containing free-standing CuO molecules in the structure and checked their antimicrobial properties. Antibacterial effect of considered SBA-15-Cu material was tested on Escherichia coli bacteria. Antimicrobial tests were applied for the pure form of the material and as modifying agents for plastics. The obtained results showed that the sample with lower concentration of active copper-containing groups has stronger antimicrobial properties than the one with higher concentration of copper. Interestingly, silica containing free-standing CuO molecules has no antimicrobial properties. Considering the obtained results, we can conclude that the most probable antimicrobial mechanism in this case is an oxidation stress. When a plastic modifier is applied the material is enriched with bacterial inhibitory properties. It seems that SBA-15 silica containing low concentration of anchored copper ions is promising in terms of its antibacterial property and biomaterial potential for commercial use.
Formation of radiation-disturbed layer in Al/SiO2/n-Si structures irradiated with helium ions with energy 5 MeV

This paper presents the change in the volt-farad characteristics of the Al/SiO2/n-Si structure irradiated with helium ions with the energy of 5 MeV in the frequencies of 1, 10, 100, and 1000 kHz. The voltage dependence of the capacitance and the frequency dependence of the dissolution angle are measured on an LCR Agilent E4980A and Agilent 4285A meter. The hodograph of the irradiated structure shows that there is a formation of a quasi-continuous radiation-disturbed layer at a fluence of 1012 cm–2 with U < –7 V and 1013 cm–2 with U < –20 V, which enhances the speed of charged particles, thereby increasing the reverse current in the irradiated structure.
A logistic distribution model of new short sea shipping line along a mutimodal corridor in Italy

The purpose of the application focuses on an intermodal model (RPL) to simulate the transport choice for freight sending on the most relevant corridor Naples–Milan. In this, operate a railroad system with the introduction a new short sea shipping (SSS) intermodal line (Naples Sea Genova road Milan). The paper considers a collaboration with a multimodal transport operator, with many logistic platforms in Italy to analyze the degree of competition inside corridor. An application along this very congested route Milan (Segrate interport) Nola (Naples interport) was used. The econometric models applied to operator choices are a random parameter logit model vs multinomial logit model with frequency, type of load and cost as