Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Communication Technology Training Needs of Academic Staff in Universities in Ekiti State, Nigeria

The use of electronic resources has in recent time been adopted by most higher learning institutions in Nigeria. However the appropriate training for academic staff on how well to integrate it into their research output, learning and teaching process is at a worrisome state. Hence, the aim of this study was to investigate academic staff training needs on the use of information communication technology. The descriptive research design of the survey type was adopted for this study. The population consists of 45 lecturers in the faculty of social sciences in Ekiti state university and Afe Babalola University. A Radom sampling technique was employed in selecting two departments from each faculty. A total of 37 lecturers formed the sample group of the study. Further, a questionnaire was used for data collection. The descriptive statistical tool was used as the basis of analyzing the data. The findings of the study revealed that majority of respondents have limited computer skills, can’t use technical computer programs to complement their work and were not formally trained on the use of ICT rather they acquire their skills independently. This study proposed that more frequent training on the use of electronic information devices and resources be made available to lecturers in Nigerian higher learning institutions. Also, librarians are to come to the aids of lecturers by helping them make informed decisions through various platforms of exhibition of the various technologies service available in the library.
Stock Return Movement in Indonesia Mining Companies

This research empirically analyzes and examines the influence of environmental performance and environmental disclosure on stock return. The environmental performance variable was measured based on PROPER (government ranks), and the environmental disclosure was assessed using index. The stock return variable was reflected by cumulative abnormal return. The samples used in this research were 41 companies with the observing year of 2015-2017; thus, the total samples were 123. The data was analyzed using Statistical Package for Social Science with multiple linear regression analysis methods. The results showed that the environmental performance variable had a positive impact on stock return. The environmental disclosure variable had a positive impact on the stock return, which means the higher environmental disclosure items by the company, the higher investor’s positive responds reflected through the stock return.
Revisiting Erstwhile Innovative Capabilities: Does Recruitment and Selection Practices Impact Operational Performance of Non-Governmental Organizations (NGOs)

This study was designed to expose the relationships and integration between recruitment & selection, innovative capabilities and operational performance among the Ghanaian NGOs. Data sample comprised information from executives, top and middle level management of selected NGOs in Ghana. The study utilised stratified and random sampling techniques to select 240 respondents as sample size due the scope and expertise of the targeted population [ea1] . The Structural equation modeling (SEM) was applied along AMOS version 17.0 to check confirmatory factor analysis (CFA) and path analysis. Statistical Package for Social Sciences 22.0 version (SPSS) was also used for data entry and data interpretation. The results showed that the NGOs recruitment and selection practices supports innovativeness by promoting learning new skills and competencies. The paper also revealed that recruitment and selection directly affects innovative capability, which intend positively affect the operational performance of NGOs. Similarly, it was established that firm innovative capability partly facilitate the yoke between recruitment and selection and operational performance of NGOs, given that behavioral innovation was not significant in establishing the mediating role of firm innovativeness between selection practices and operational performance. The study implicates recruitment and selection and innovative capabilities as a core value-creating ability that drives non-governmental organizations performance through a sound technical approach, strong leadership, ever-improving experts, and culture. However, the results are limited to the Greater Accra, Eastern, northern and Central region of Ghana, there is, therefore, the need to extend the study to other regions where NGOs exist for generalization purposes.
Prebriefing: An Effective and Efficient Strategy to Maximize Simulation Based Learning

Developing and implementing effective teaching methods require careful planning and time-intensive implementation by nursing faculty and their leadership (Fey & Jenkins, 2015). This is especially true when introducing new strategies. Simulation-based learning (SBL) is one such strategy. SBL is an evidence-based approach that enhances student learning and promotes knowledge retention necessary to safely provide care for patients (Kirkman, 2013). However, the adoption and implementation of SBL is highly variable across schools of nursing and other disciplines (Hayden, 2010). Interprofessional education (IPE) has made significant gains in the past decade with several disciplines mandated by accreditors to provide evidence of IPE within the curriculum. Interprofessional simulation provides an excellent way to integrate these concepts. Whether simulation is conducted as a single or multiple discipline experience, one critical component of the overall success of SBL is establishing sound prebriefing principles. Prebriefing is the term used for the preparation component of SBL and occurs prior to students beginning in the simulated experience (McDermott, 2016). Prebriefing has three phases: Planning, briefing, and facilitation. Although the literature is replete with articles on debriefing, that which occurs after students complete the simulated experience, there is a dearth of literature on prebriefing (McDermott, 2016). Given the scarcity of articles about prebriefing, best practices are currently 2 Online Journal of Interprofessional Health Promotion, Vol. 1, Iss. 1 [2019], Art. 5 https://repository.ulm. edu/ojihp/vol1/iss1/5
Revisión de la efectividad de los soportes plantares personalizados en el pie plano valgo infantil

El pie plano valgo infantil es una de las patologias que se presenta con mayor frecuencia en la practica clinica ortopodologica. Es ademas una preocupacion comun para los padres y continua siendo un tema debatido por los profesionales de la salud. Se realiza una busqueda bibliografica con el objetivo de evaluar la efectividad del tratamiento ortopodologico mediante el uso de soportes plantares personalizados en ninos con pies planos valgos. Los articulos que evaluan el efecto inmediato de los soportes plantares, comparando los cambios que se manifiestan en el pie con y sin el tratamiento ortopodologico, coinciden en que el uso de soportes plantares personalizados reducen los grados de eversion del calcaneo en bipedestacion y el porcentaje de eversion maxima y de eversion total en dinamica. Existe bastante controversia respecto a la efectividad de los soportes plantares personalizados en el tratamiento del pie plano valgo infantil cuando la evaluacion se realiza en estudios longitudinales a largo plazo. Conclusiones: la efectividad de los soportes plantares a largo plazo depende de la edad del nino y de la duracion del tratamiento. Esta se ve aumentada cuando el nino tiene mas de seis anos y cuando el tiempo de tratamiento es igual o mayor a 24 meses. No existe ningun estudio en el que se indique el que uso de los soportes plantares dificulte el desarrollo normal del pie o empeore la situacion en la que se encuentra en el momento de iniciacion del tratamiento.
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss

The fusion of hyperspectral image (HSI) and multispectral image (MSI) is one of the most significant topics in remote sensing image processing. Recently, deep learning (DL) has emerged as an important tool for this task. However, existing DL-based methods have two drawbacks, that is, limited ability for feature extraction and suffering from spectral distortion. To address these issues, this article presents a novel neural network, where sophisticated techniques are employed, including network-in-network convolutional unit, batch normalization, and skip connection. To make full use of the MSI, the proposed model fuses HSI and MSI at different scales. Besides, this article presents a new loss function, called RMSE, angle and Laplacian (RAP) loss (the combination of the relative mean squared error, angle loss, and Laplacian loss), to deal with both spatial and spectral distortions. Experiments conducted on four data sets have verified the rationality of network structure and the proposed loss function and demonstrated that the proposed novel model outperforms state-of-the-art counterparts.
Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models

This paper addresses the optimal dispatch problem for battery energy storage systems (BESSs) in direct current (DC) mode for an operational period of 24 h. The problem is represented by a nonlinear programming (NLP) model that was formulated using an exponential voltage-dependent load model, which is the main contribution of this paper. An artificial neural network was employed for the short-term prediction of available renewable energy from wind and photovoltaic sources. The NLP model was solved by using the general algebraic modeling system (GAMS) to implement a 30-node test feeder composed of four renewable generators and three batteries. Simulation results demonstrate that the cost reduction for a daily operation is drastically affected by the operating conditions of the BESS, as well as the type of load model used.
ON the D-saturation property

In this paper we study the notion of a D-saturated model, which occupies an intermediate position between the notions of a homogeneous model and a saturated model. Both the homogeneous models and the saturated models play a very important role in model theory. For example, the saturated models are the universal domains of the corresponding theories in the sense that is used in algebraic geometry (one can also notice that the algebraically closed fields of infinite transcendence degree, which are the universal domains in algebraic geometry, are the saturated models of the theory of algebraically closed fields); this means that the saturated models realize all what is necessary for the effective study of the corresponding theory.The D-saturated models proved to be useful in various situations. Naturally the question arises on the conditions under which a model is D-saturated. In this paper we indicate some conditions of such sort for weakly o-minimal models and models of stable theories. Namely, for such models we prove that homogeneity and a certain approximation of Dsaturation imply D-saturation.
Using Mathematical Modeling for Integrating STEM Disciplines: A Theoretical Framework

The main goal of STEM education is to provide students with knowledge and skills in science, technology, mathematics, and engineering through interdisciplinary approaches. However, perspective on the nature of STEM approaches and how it should be implemented in the classrooms without losing discipline integrity are still not uncovered and stay as important challenges for both educators and researchers. In this paper, we introduce a theoretical framework that can shed light on how to engage students effectively in STEM education by providing mathematical modeling as a tool for integrating different disciplines. Thus, this framework is for designing, implementing, and evaluating mathematical modeling thinking within an interdisciplinary nature. Furthermore, we provide an example of the interdisciplinary mathematical modeling task with hypothetical student engagement in the process and analyzed the student's thinking with our framework. Although the focus of this paper is mainly about integrating mathematics and science, we believe that our framework can be applied to all STEM disciplines. We conclude that interdisciplinary mathematical modeling framework might be an important tool to overcome some of the challenges that stressed in the literature since it increases the transfer capacity of STEM-focused knowledge and skills to real-world scenarios by presenting problem situations in a real-world context.
Crecimiento urbano e impermeabilización del suelo alrededor de la Reserva Forestal Thomas van der Hammen, en la ciudad de Bogotá

Bogotá ha tenido una rápida urbanización en las últimas décadas, caracterizada por la falta de planeación, la contaminación de cuencas y la generación de impactos ambientales. La reserva Thomas van der Hammen no ha sido ajena a estos procesos de urbanización. Sin embargo, esta área, ubicada al noroccidente de la ciudad, tiene una gran relevancia ambiental, pues es un corredor ecológico que conecta a los cerros orientales con el río Bogotá. En este trabajo se realiza un estudio multitemporal alrededor de la reserva usando técnicas de teledetección. Usando índices espectrales, como el IBI, y calculando la temperatura de superficie, se logró discriminar las áreas impermeabilizadas en el periodo comprendido entre el año 1989 y el 2018. Los resultados demuestran que las técnicas de teledetección para monitorear áreas impermeables son confiables, de manera que se pueden medir las intervenciones antrópicas en el tiempo. El monitoreo realizado sobre la reserva muestra que esta ha evitado que la urbanización en el norte de la ciudad haya conectado con el río Bogotá y generara una carga mayor para la cuenca al impermeabilizar esa zona de la ciudad.
ADENOCARCINOMA GALL BLADDER MASQUERADING AS COLONIC MALIGNANCY

CASE REPORT A 36 yrs old female presented with upper abdominal pain and melena for the past 2 months. She was pale on examination there was a firm mass palpable in the right hypochondrium. CT showed evidence of a small enhancing mass lesion of the fundus of gall bladder and adjacent hepatic flexure of colon with evidence of air pocket within the mass, small superficial adherence seen to the segment 5 of liver, duodenum is uninvolved, no intrahepatic biliary radical dilatation. Imaging wise it was difficult to dogmatically commit the anatomical origin of the mass. However the epicenter of the mass was more in relation to the colon.
Lipid Profile Among Diabetics in Al-Ramadi City, Iraq

INTRODUCTION: Diabetes is associated with a marked increase in the risk of coronary heart disease (1,2) . Hyperlipidemia is a strong predictor of risk of cardiovascular event in diabetics (3,4) . Recently, it was suggested that all diabetics could be treated as if they had prior coronary heart disease (4-6) . Prior to 1990, Iraq was advancing through the epidemiological transition from infectious diseases to chronic and degenerative disorders. The country currently suffers from a double burden (7) . A survey in 1979 revealed a diabetes prevalence of 5% in rural area (8) . The current prevalence is unknown (7). There are insufficient data on the lipid profile of diabetics (9).
A Study on the Primary Education Curricula in the Context of Socialization, Multiculturalism and Democratic Values

Bu arastirmada 2017 yilinda hazirlanan ilkogretim programlarinin toplumsallastirma, cokkulturluluk ve demokratik degerler kazandirma baglaminda incelenmesi amaclanmistir. Inceleme kapsaminda topluma uyum, toplumsal norm, bireysel sorumluluk, cokkulturlu egitim, demokrasi kulturu, hak ve ozgurlukler konulari temelinde analizler gerceklestirilmistir. Arastirma, bu bilgi ve becerilerin daha yogun olarak yer aldigi “Hayat Bilgisi”, “Sosyal Bilgiler”, “Insan Haklari, Yurttaslik ve Demokrasi” ogretim programlari ile sinirlandirilmis ve Milli Egitim Bakanliginin 2017 yilinda yayinladigi ilkogretim programlari kapsaminda gerceklestirilmistir. Arastirma, yazili ve basili materyallerin analizini kapsayan nitel arastirma yontemlerinden dokuman inceleme yontemi kullanilarak gerceklestirilmistir. Veriler, betimsel ve icerik analizi kullanilarak cozumlenmistir. “Hayat Bilgisi”, “Sosyal Bilgiler” ve “Insan Haklari, Yurttaslik ve Demokrasi” dersi ogretim programlarinin genel amac ve kazanimlari toplumsallastirma, demokratik degerler ve cokkulturluluk temasi altinda incelenmis ve bilissel, duyussal ve psikomotor ogrenme alanlari yonunden siniflandirilmistir. Ilkogretim programlarinin genel toplamda topluma uyum, toplumsal norm ve bireysel sorumluluk ile ilgili kazanim sayisinin niceliksel olarak yeterli oldugu; fakat demokratik degerler ve cokkulturlulukle ilgili kazanim sayisinin yetersiz oldugu sonuclarina ulasilmistir.
Automated Attendance Marking Using Face Recognition

This paper describes the machine learning approach for face recognition which is capable of processing images efficiently and quickly achieving high detection rates. The project is described in three stage stages of processing. The first is the introduction of new images to the machine which is called the “Integral image”, which helps the detection program to detect images quickly and efficiently. The second stage is where the captured images are made learn using the algorithm, based on Ada boost which uses and selects the visual classifiers from the data’s and yields efficient classifier. The third stage is where the image classifiers are made effective as “cascade” which helps to remove the background images which are not required . The Eigen face algorithm detects and remove unwanted pixels from the image using the HAAR method of classification. In this domain of facial recognition which provides effective detection and comparison rates than other strategies for attendance marking . The project is implemented using the raspberry-pi and their respective camera module components of raspberry-pi, which has a frame rate of fifteen frames per second.
Sustainability in Catalytic Cyclohexane Oxidation: The Contribution of Porous Support Materials

The development of green and sustainable protocols for synthetic routes is a growing area of research in chemistry worldwide. The development of sustainable processes and products through innovative catalytic materials and technologies, that allow a better use of resources, is undoubtedly a very important issue facing research chemists today. Environmentally and economically advanced catalytic processes for selective alkane oxidations reactions, as is the case of cyclohexane oxidation, are now focused on catalysts’ stability and their reuse, intending to overcome the drawbacks posed by current homogeneous systems. The aim of this short review is to highlight recent contributions in heterogeneous catalysis regarding porous support materials to be applied to cyclohexane oxidation reaction. Different classes of porous materials are covered, from carbon nanomaterials to zeolites, mesoporous silicas, and metal organic frameworks. The role performed by the materials to be used as supports towards an enhancement of the activity/selectivity of the catalytic materials and the ability of recycling and reuse in consecutive catalytic cycles is highlighted.
Computer-Mediated Communication in the Age of Communication Visibility

This article argues that a distinctive aspect of computer-mediated communication (CMC) is the way it can make communication visible to others in ways that were previously impractical. We propose a theory of communication visibility that recognizes its multidimensional nature: resulting from activities that make communication visible, efforts by actors to see communication, and a sociomaterial context that influences possibilities for visibility. The different dimensions of communication visibility are explored as they relate to possibilities for action with CMC, and the ability of third-parties to view communication between others. Centering communication visibility in the study of CMC compels scholars to ask new questions regarding the interdependence of active, strategic efforts to make communication more or less visible to others, and the ways in which communication is assessed by observers. To facilitate ongoing research we offer an agenda for incorporating communication visibility into the study of contemporary and future forms of CMC.
CHALLENGES IN CARING FOR THE ELDERLY IN IRAN: A SYSTEMATIC REVIEW

Introduction: Elderly healthcare and its relationship with life expectancy are major challenges in the modern era that goes beyond the public health approaches and contributing to quality of life. This study aimed to determine age-related challenges in Iran. Method: Studies (2015-2010) on the challenges of caring for the elderly were evaluated in three phases. Databases, national and international, including: SID, Magiran, IranMedex, Irandoc, MEDLINE, EMBACE and ISI, with the keywords of elderly, care, and the challenges were searched and 11 articles based on the inclusion criteria were analysed. Results: We identified 10 items including “depression and lack of compatibility with the environment and people "malnutrition", "isolation from family and society", "misbehaviour", "lack of knowledge and attitude of nurses in aged care”, “lack of appropriate national programs for the care of the elderly”, “lack of standard care plans”, “undiscovered chronic diseases" and "lack of adherence to treatment and regular drug use” as the major challenges. Conclusion: An aging population can lead to challenges if there is no proper planning. Population aging raises issues of health care in the elderly. Due to changing demographic trends, the care of the elderly need to improve by developing integrated care, institution of appropriate insurance, establishing elderly care centres, providing further training to long-time employees, securing funding for facilities and equipment, increasing elderly’s health awareness and providing life skills training. Keywords: challenge, elderly, care, Iran