Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding the Impact of Context: a New Approach to Understanding the Adoption of Improved Pest and Disease Management Practices

The adoption of pest and disease management techniques, especially Integrated Pest Management (IPM), has been the subject of numerous studies. These studies have investigated the adoption of practices such as monitoring of pests and disease, the use of population thresholds to determine spray regimes, monitoring and use of beneficial insects to control pests, the use of selective chemicals, the use of growth regulators and the use of mating disruption techniques. We reviewed a number of studies investigating the relationships between the use of pest and disease practices and the characteristics of growers and their enterprises. We found little reliability in the findings of these studies. In particular, these studies failed to identify consistent relationships across industries and countries between pest and disease management practices and variables such as enterprise characteristics and growers’ characteristics such as age, education and experience. A novel approach to understanding the adoption of pest and disease management strategies is needed. We believe the inconsistency in the findings of previous studies is understandable if we use a different framework for characterising growers’ decision making about pest and disease management. We suggest that growers follow a deliberate and systematic process of learning about, experimenting with, and evaluating management options within the particular context of their enterprises (given the constraints imposed by the realities of commercial production). That is, growers follow a decision process that resembles complex decision making when establishing a pest and disease management regime. Hence, we believe complex decision making is a useful construct for understanding adoption of pest and disease management strategies.
The Implementation and Evaluation of an Early Mobilization Program for Critically Ill Adult Oncology Patients Authors:

Background: In the summer of 2010, the intensive care unit (ICU) Clinical Practice Committee at the University of Texas MD Anderson Cancer Center was charged with developing and implementing an early mobilization program (EMP) for critically ill cancer patients in the ICU. The driving forces included the perception and observation of primary admitting services and the ICU service of infrequent mobilization of critically ill patients in the ICU. Additionally, early mobilization in critically ill patients was emerging as a potential prevention strategy for several complications associated with critical illness including reduced disability and dependence in survivors. Much of the critical care literature on EMP is focused on patients requiring mechanical ventilation. However, both ventilated and nonventilated critically ill patients equally benefit from early exercise programs (Burtin et al, 2009). In patients requiring mechanical ventilation, EMP have been found to be safe and are associated with decreased intensive care unit (ICU) and hospital length of stay and improved functional status at hospital discharge (Bailey et al, 2007; Hopkins, Spuhler, & Thomsen, 2007; Morris et al., 2008; Schweickert et al, 2009). In addition, a decrease in mechanical ventilation days and need for tracheostomy has also been described (Hopkins, Spuhler, & Thomsen, 2007).
DETERMINANTS OF THE SPREAD BETWEEN CORPORATE AND SOVEREIGN DEBT YIELDS IN EMERGING LATIN AMERICA AND ASIA Abstract

We examine the determinants of the spread between c orporate and sovereign debt yields to maturity. We us corporate bond data from 13 Latin American and Asian issuers to ca lcul te the spread between their yields and the res pective sovereign debt yields. We found the determinants of such spread, c ontrolling for debt term structure, and other varia bles. Additionally, we found industry and country effects not explained by variables at firm, issue, country, or internationa l levels. The contribution of this paper consists in that industry effects, as well as country effects, are important explaining spreads after controlling for country and index specific factors.
Impact of Diabetic Complications awareness on Patient’s Self Care Activities

Background: Self-care practices in diabetes patients are crucial to keep the illness under control and prevent complications. Effective management of diabetes will be a difficult task without adequate understanding of the existing level of practice related to diabetes self-care. Aim: this study was conducted to investigate the impact of diabetic complications awareness on patient’s selfcare activities. Patients and method: A Quasi-Experimental design was used. Two tools were used; I. Structured interview questionnaire: included two parts; first: Sociodemographic characteristics and medical profile, second: diabetic patient's related complications. II. Summary Diabetes Self-Care Activities Scale (SDSCA) Results: the participants mean age was 48.13 ± 8.08. Most of the sample (90.7 %) suffered from hyperglycemia. There was an improvement in almost patient’s self care activities items following diabetic complications awareness. Conclusion: Based on the study findings, there were inadequate self care activities performed by the patients before the awareness, but improved after that. The researchers thought that this awareness was working as a red alarm for those patients. Data from this study re-enforce the continuing need for more diabetic related education that are intended to improve self care activities among diabetics.
The Instinctive Cognizance Of Deep Learning Architecture For Analog And Digital Modulation Schemes

We present an automatic modulation recognition work for the identification of radio signals in a communication network. Our aim is to design an efficient communication system and make the receiver is capable to detect the modulation scheme of the signal it receives, using Automatic Modulation Recognition without having minimum or earlier knowledge of the transmitted signal.The work consider both SVM and ANN architectures and finally observe the efficient learning tool for recognition. Initially we classify the modulation schemes using non linear SVM. After that, we use Artificial Neural Network(ANN) for further classification of analog and digital modulations. Features were also extracted using wavelet decomposition and fast fourier transform techniques. Neural Networks were applied to the extracted features to distinguish between signals having different modulation schemes.
időben változó taylor-szabály a hazai

Tanulmányunkban egy előretekintő, időben változó paraméterű Taylor-szabály becslését végezzük el magyar adatok felhasználásával. Célunk a hazai monetáris politika jellemzése az inflációs célkövetés rendszerének bevezetése óta eltelt időszakban. Kutatási kérdéseink a következők. Melyek voltak a monetáris politikai döntéshozatal szempontjából meghatározó fundamentális tényezők, illetve hogyan változott e tényezők szerepe az elmúlt tizenöt év során? Az időben változó Taylor-együtthatók becsléséhez egy lineáris állapottérmodellt írunk fel, amelyet Kálmán-filterrel becsülünk. Az alkalmazott becslési módszer értékes hozadéka – szemben a különböző részmintás és rezsimváltó regressziókkal –, hogy maguk a becslési eredmények jelölik ki az esetleges strukturális törések helyét, illetve idejét. Ezáltal további külső információk nélkül, előfeltevés-mentesen azonosíthatjuk a hazai monetáris politika preferenciáinak időbeli változását. Eredményeink a hazai monetáris politika céljainak átrendeződését mutatják a válságot követő időszakban, emellett kiemelik a külső mozgástér változásainak meghatározó szerepét. A becslés relevanciáját növeli, hogy a felhasznált adatok szinte teljes egészében a Magyar Nemzeti Bank által publikált, valós idejű kiadványokból származnak. * Journal of Economic Literature (JEL) kód: E43, E52, E58.
Optimal Control with Distorted Probability Distributions

We study a robust optimal control of discrete time Markov chains with finite terminal T and bounded costs using probability distortion. The time inconsistency of these operators and hence its lack of dynamic programming are discussed. Due to that, dynamic versions of these operators are introduced, and its availability for dynamic programming is demonstrated. Based on dynamic programming algorithm, existence of the optimal policy is justified and an application of the theory to portfolio optimization is also presented.
The impact of initial group characteristics on quality in online communities of creation

Open projects aimed at creating new knowledge (also known as online communities of creation) are increasingly central in the production of new and innovative knowledge. In our research study, we are interested in the impact of initial group characteristics on the quality of the output. We studied in particular Wikipedia in different three languages: Arabic, Romanian and Thai. Our results confirm the importance of the initial project group. We found a positive impact of a large initial group formed by members with an intermediate level of diversity in the focus of their editing but having an equal and lower level of longevity.
Autonomic control of cardiorespiratory coupling in healthy subjects under moderate physical exercises

Aim of the study is to apply the analysis of phase dynamics to investigation of the coupling patterns between heart rate variability, respiration and peripheral circulation in healthy subjects at rest and after moderate physical exercises. Material and Methods ― 30-minutes electrocardiogram (ECG), photoplethysmogram (PPG) and respiration records were obtained from healthy subjects aged 22±2 (mean ± standard deviation) before and after active Martine Kushelevsky test (20 squats in 30 seconds). The coherence function was estimated between all the signals from each subject, and the phase dynamics modeling was used to detect the directional coupling in high-frequency (HF; 0.14-0.40 Hz) and low-frequency ranges (LF; 0.04-0.14 Hz). Results ― At rest (before the physical activity) no statistically significant couplings were detected between the HF rhythms of respiration and heart rate (RR intervals). For the HF rhythms in respiration and PPG, the influence respiration→PPG was detected. No couplings were detected between the LF rhythms. After the moderate physical exercise, predominant direction of the influence was RR intervals → PPG in the LF range and both RR intervals → respiration and PPG → respiration in the HF range. The influence PPG → respiration was delayed by several seconds. Conclusion ― adaptation to the moderate physical activity has led to the decrease in the overall coherence and changes in patterns of directional coupling between the LF and HF rhythms in respiration, heart rate and peripheral circulation. The obtained results confirm nonlinearity and complexity of the coupling patterns in cardiovascular system.
FASCIOLIASIS IN AN ADULT DRAUGHT BUFFALO IN MALAYSIA: A CASE REPORT

Fascioliasis is an important parasitic disease caused by the liver fluke Fasciola gigantica in Malaysia. The infestation of liver f luke in ruminants; cattle, sheep, goats and buffaloes can result in economic losses to the country mainly due to the drop in livestock production, reduction in growth rate, condemnation of liver, reduction in draught power and high usage of anthelmintics. This paper describes a case of liver fluke infestation in a two year old male buffalo that was eventually slaughtered. The buffalo was reported to be emaciated and was reared in an oil palm plantation for use as draught power in buffalo-drawn carts loaded with oil palm bunches; along with 18 other buffaloes of various ages. Previously, there were two cases of buffalo deaths from the same herd. The organ and faecal samples were sent to Kuantan Regional Veterinary Laboratory (RVL) for diagnostic work up. The received samples were then sent to parasitology, histopathology and bacteriology sections for laboratory analysis and confirmation on the pathogens. The bacteriology result showed Escherichia coli isolated in all internal organs. Presence of adult flukes (Fasciola gigantica) were observed in the bile duct of the liver through gross examination and also histopathological evaluation and supported by the positive result of Fasciola ova via sedimentation test conducted from the faecal sample, thus justifying the final diagnosis as severe liver fluke infestation leading to emaciation and simultaneously having colibacillosis.
Quality of life for Elderly Resident in Nursing Home at Al- Najaf city

Elderly people may suffer from the multiple health disorders due to the vulnerability for many physical and mental disturbances, Quality of life in elderly population can be affected by many environmental factors Objective(s): Cross sectional study was aimed to determine the quality of life in elderly people resident in nursing home and present investigation attempt to study the quality of life elderly men and women living in institutions nursing home. Methodology: The study was conducted on a simple random sample of 50 elderly in the age ranging from 65-76 years of which men and women in living in nursing home settings. The questionnaire was administered, data was collected and tabulated. Results the results revealed that elderly living in nursing home showed high level of quality of life . The result also revealed that there is no significant relationship difference between the domain of quality of life and demographic characteristics expect age with p-value (0.05). Conclusion: The study concluded The study confirms that, old age group is predominantly males with (57 73) years old, Old age residents have no opportunity for better education, Old age resident's demographic characteristics do not show any relationship to their domain quality of life. Recommendations: The study recommended. Promotion quality of life can be implemented for old age residents, Routine annual quality of life assessment and evaluation can be presented to old age individuals, and A comparative study should be conducted between elderly nursing home resident and community elderly quality of life.
Evaluation of the Level of Usage of BIM Tools for Project Delivery in Federal Universities in South-West, Nigeria

Construction industry has been lagging behind other industries in terms of project delivery for the past decades. This was due to non-collaborative efforts of stakeholders and fragmented nature of building processes which was caused by lack of cooperation, poor information and integration. This had resulted to design errors, omissions, inefficiencies, coordination problems, cost overruns, delay and productivity losses due to conflicting interests, incompatible strategies among team members and limited access to timely information. Hence, Building Information Modeling integrates, and processes information throughout the entire life cycle of construction projects and ends fragmentation that exists within the building industry.This paper assess level of usage of BIM tools at Federal Universities in South-West, Nigeria. The study adopted mixed method. The population are the professionals within the physical planning units of the Federal Universities that were registered with their respective professional bodies. Data was analysed using both descriptive and inferential statistics, the descriptive statistics entails percentage, pie-chart, bar chart, and frequency while the inferential statistics includes mean scores, and relative importance index, Pearson correlation and Friedman test with the aid of SPSS version 22 and MS-Excel. Findings showed that Design and engineering, Project planning, Construction project control, finance and Accounting are the four BIM tools that are frequently used for construction projects in the physical planning units of the study area.As the project unfolds and the design is conceptualized, information in the form of drawings, specifications and new construction methods were communicated,The study concluded that the use of BIM tools is very important for reliable assessment. The study recommended that the government and regulatory bodies should include the use of BIM software into the training curriculum in order to enhance job production in south-west Nigeria
Behavioral Finance: An Insight into Investor’s Psyche

The field of finance, so far, has dealt with certain central paradigms derived from investor rationality, viz., portfolio allocation based on expected return and risk, risk-based asset pricing models, i.e., CAPM and other similar frameworks, the pricing of contingent claims, and the Miller-Modigliani theorem and its augmentation by the theory of agency. While these approaches revolutionized the study of finance and brought rigor into the field, many lacunae were left outstanding by the theories. For example, the traditional models had a limited role towards understanding trading volumes while focusing mostly on price data. The price data was used to compute returns, abnormal, as well as to understand the pricing phenomenon from the eyes of an efficient market researcher or to check the over or under-pricing of stocks. Though the benefits of diversification were emphasized by modern theories, individual investors often held only a few stocks in their portfolios. Finally, expected returns did not seem to vary in the cross-section only because of risk differentials across stocks. Based on the above observations, traditional finance appeared to play a limited role in understanding issues such as (i) why do individual investors trade, (ii) how do they perform, (iii) how do they choose their portfolios, and (iv) why do returns vary across stocks for reasons other than risk. Finance education in general can be more useful if it sheds specific light on active investing by addressing aspects such as (i) what mistakes to avoid while investing, and (ii) what strategies in financial markets are likely to work in terms of earning supernormal returns. Those are the main pedagogical goals of behavioral finance, which allows for explanations of financial phenomena based on non-rational behavior amongst investors. Behavioral finance — that is, finance from a broader social science perspective including psychology and sociology — is now one of the most researched areas in finance. This paper focuses on understanding the various aspects related to Behavioral finance.
Narayana prime cordial labeling of generalized Petersen Graph

Graph labelling is one of the major research area in Mathematics which was introduced by A . Rosa. A new concept of labelling namely Narayana Prime cordial labelling was introduced and studied by Murali, Thirusangu and Balamurugan. In this paper, we investigate the existence of Narayana prime cordial labelling of generalized Petersen graph.
Nonparametric Estimation of an Additive Unconditional Quantile Regression Model

Unconditional quantile regression is able to assess the possible different impacts of covariates on different unconditional quantiles of a response variable. An estimator is proposed for a nonparametric additive unconditional quantile regression model. The estimator does not require d-dimensional nonparametric regression and therefore has no curse of dimensionality. In addition, the estimator has an oracle property. Numerical simulation suggests that the new estimator performs better than alternatives.
Glypican-3: A New Target for Diagnosis and Treatment of Hepatocellular Carcinoma

Liver cancer is the second leading cause of cancer-related deaths worldwide, and hepatocellular carcinoma is the most common type. The pathogenesis of hepatocellular carcinoma is concealed, its progress is rapid, its prognosis is poor, and the mortality rate is high. Therefore, novel molecular targets for hepatocellular carcinoma early diagnosis and development of targeted therapy are critically needed. Glypican-3, a cell-surface glycoproteins in which heparan sulfate glycosaminoglycan chains are covalently linked to a protein core, is overexpressed in HCC tissues but not in the healthy adult liver. Thus, Glypican-3 is becoming a promising candidate for liver cancer diagnosis and immunotherapy. Up to now, Glypican-3 has been a reliable immunohistochemical marker for hepatocellular carcinoma diagnosis, and soluble Glypican-3 in serum has becoming a promising marker for liquid biopsy. Moreover, various immunotherapies targeting Glypican-3 have been developed, including Glypican-3 vaccines, anti- Glypican-3 immunotoxin and chimeric-antigen-receptor modified cells. In this review, we summarize and analyze the structure and physicochemical properties of Glypican-3 molecules, then review their biological functions and applications in clinical diagnosis, and explore the diagnosis and treatment strategies based on Glypican-3.
Giraffe Patterns in Idiopathic Pulmonary Fibrosis

Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive lung disease characterized by severe fibrosis and poor prognosis. We aimed to reveal to different radiological findings of IPF and to describe a different perspective on the complexity of diagnosis. We retrospectively evaluated patients with IPF between January 2015 and April 2019 in the Department of Pulmonary Medicine, VM Medical park Samsun Hospital, Samsun, Turkey. Totally 51 patients were included in this study; 35 (68.6%) were male and 16 (31.4%) were female. The mean age was 70.8 years (min, 50-max, 86). The mean FVC, FEV1 and FEV1/FVC were 1970 ml (53%), 1860 ml (63%) and 94.4%, respectively. The diagnostic efficacy of chest roentgenograph was 58.7% in patients with IPF. The number of cases with “propeller blade” distribution (PBD) (Figure 1 and Figure 2) was 32 (62.7%). The acute attack of IPF was observed in 10 (19.6%) patients. In conclusion; it should be kept in mind that the difference in HRCT findings in the diagnosis of IPF may vary depending on the environment in which patients live. Also, we think that the external environment affects not only the diagnosis, but also the course of the disease and the acute attack and it should be supported by other studies.
SPATIAL DISTRIBUTION AND HEALTH RISK ASSESSMENT OF HEAVY METALS IN URBAN PARKS AND GARDENS SOILS IN LAGOS STATE, NIGERIA

Distribution and health risk assessment of heavy metals in urban parks and gardens Gani Fawehinmi Park, Ojota, (GFP), Oshodi Heritage Park Oshodi (OHP), Ikorodu/Ipado Garden (IIG), MKO Abiola Gardens, Ojota (MKO), and MOE Garden, Alausa (MOE) soils in Lagos Metropolis, Nigeria were examined using Index of Geo-accumulation (Igeo), Potential Ecological Risk Index (RI) and health risk model. Urban parks and gardens soils were substantially polluted by Cu and Pb due closeness to highways where heavy metals emitted from motor vehicles are deposited. Geoaccumulation index (Igeo) values for Pb were 10.616, 10.060, 9.027, 8.862 and 8.665 for GFP, OHP, IIG, MKO and MOE respectively. RI values for all the sites showed high pollution as they were all above 200. Health risk assessment revealed that children who visit the urban parks and garden in Lagos State are more exposed to cancer risk from Pb especially through ingestion. Results from this study provided valuable information on the pollution levels of urban parks in Lagos, Nigeria as a result of traffic related emissions and calls for proper monitoring of anthropogenic activities in the metropolis and reduce the human health impacts. The planting of hedge plants and erection of low walls could serve as shield against traffic pollution for the roadside parks