Miracle-dz/UniFAR-FTUs huggingface dataset:
Graduates' Transition From Study to Employment: A Study of the Arts and Agriculture Graduates of University of Nigeria in the World of Work

A tracer study of the graduates of the faculties of Agricultures and Arts, University of Nigeria, Nsukka, was done to examine retrospective contribution of their education to their current work. The objectives of the study included (i) the determination of how the graduates got their first employment, (ii) factors for their being employed and (iii) the extent the knowledge acquired during study programme is used in current job, among others. A sample of 579 graduates from the population of the graduates from the population of the graduates of 1976-93 from the various study programmes in the two faculties were studied. Some of the principal findings indicated that more graduates got their first job by application to vacant positions and less so through personal contacts/connections. In a descending order of importance, knowledge of English, Science and technical knowledge of the field course work and practicals were major study elements used on the current job. Field of study, area of specialization, reputation of the university, personality and grades (class of pass) were similarly major contributors to being employed. Overall, nearly three-fourths of the graduates agreed that the knowledge and skills acquired during their studies were used to, at least, a great extent in their current jobs.
No-Reference Image Quality Assessment Method Based on Visual Parameters

Abstract Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the basic image visual parameters without using human scored image databases in learning. We demonstrated that these features comprised the most basic characteristics for constructing an image and influencing the visual quality of an image. In this paper, the definitions, computational method, and relationships among these visual metrics were described. We subsequently proposed a no-reference assessment function, which was referred to as a visual parameter measurement index (VPMI), based on the integration of these visual metrics to assess image quality. It is established that the maximum of VPMI corresponds to the best quality of the color image. We verified this method using the popular assessment database—image quality assessment database (LIVE), and the results indicated that the proposed method matched better with the subjective assessment of human vision. Compared with other image quality assessment models, it is highly competitive. VPMI has low computational complexity, which makes it promising to implement in real-time image assessment systems.
Optimal pressure for measuring objective lymphedema with postoperative ultrasonography in patients with breast cancer

Abstract Objective: To examine the reliability of ultrasonographic thickness and compressibility along with real-time pressure monitoring to evaluate postmastectomy lymphedema and to suggest a reference range of appropriate pressure. Design: Measurement reliability study. Setting: Research laboratory. Participants: Fifteen patients with prior mastectomy for breast cancer who were diagnosed with secondary lymphedema, and 16 healthy control subjects. Methods: The thickness and compressibility of the subcutaneous layer in the arms of 15 postmastectomy patients with secondary lymphedema were measured using B-mode and M-mode ultrasonography. An ultrasound machine was equipped with a real-time pressure-monitoring device to monitor downward compression pressure on the arms at a constant velocity. The ratio of thickness change defined the compressibility index. Two different experienced examiners participated in the measurement of lymphedema. Intrarater reliability and inter-rater reliability were estimated using the intraclass correlation coefficient. Very good reliability was defined as an ICC of more than 0.8. Main outcome measurements: The thickness of the subcutaneous layer, the compressibility index, and the intrarater and inter-rater reliability were measured. Results: The measured thicknesses demonstrated very good intrarater and inter-rater reliability for the forearm and upper arm. For the compressibility index, the upper arm and forearm had very good intrarater and inter-rater reliability at over 2000 Pa of compression (>0.9). Conclusions: Ultrasonography with real-time pressure monitoring may be useful for evaluating the severity and characteristics of lymphedema, particularly at compression pressures more than 2000 Pa.
DUAL-BAND MIMO ANTENNA ARRAY FOR COMPACT 5G SMARTPHONES

An eight-port antenna system for fifth-generation (5G) multi-input multi-output (MIMO) mobile communication in smartphones is proposed, working in 3.5 GHz frequency band (3400–3600 MHz) and 5GHz frequency band (4800–5100 MHz). The presented eight-port antenna array consists of four vertical structure antennas placed at four corners and four horizontal structure antennas etched along the two long sides of the circuit board. The height of vertical structure is only 4 mm, which is suitable for ultra-thin smartphones. The design of eight-port antenna array was fabricated and measured. According to the test results, an ideal impedance matching (superior to 10 dB), preeminent isolation (superior to 17 dB), and excellent efficiency (superior to 61%) are obtained over the 3.5 GHz frequency band and 5GHz frequency band. In order to evaluate MIMO performance, the ergodic channel capacities and envelope correlation coefficients (ECC) are also investigated.
Effect of Combinations of Mycobacteriophages and Drugs against Mycobacterium Spp.

The emergence of multidrug-resistant tuberculosis (MDR-TB) is a matter of global concern. The use of mycobacteriophages alone or in combination with antibiotics could be used as an alternative approach to treat drugresistant Mycobacteria. The aim of the study was the evaluation of the effect of an isolated mycobacteriophage in combination with Isoniazid, Rifampicin, Streptomycin, and Ampicillin against Mycobacterium tuberculosis and Mycobacterium smegmatis. Determination of the MIC of the above drugs for each strain was done by the standard tube dilution method. Further, the inhibitory effect of varying drug concentrations in combination with different dilutions of the mycobacteriophage was studied. The growth inhibition pattern for both the organisms was also studied in the presence of different dilutions of mycobacteriophage by turbidometric and resazurin dye reduction method. The killing pattern of drugs, at concentrations below the MIC, when combined with mycobacteriophage, was determined. The phage induced lysis of bacteria assisted in decreasing the inhibitory concentration of the drugs.
Diurnal mesospheric tidal winds observed simultaneously by meteor radar in Costa Rica (10° N, 86° W) and Cariri (7° S, 37° W)

This paper presents a study of diurnal tidal winds observed simultaneously by two meteor radars located on each side of the Equator in the equatorial region. The radars were located in Santa Cruz, Costa Rica (10.3 N, 85.6 W) (hereafter CR) and São João do Cariri, Brazil (7.4 S, 36.5 W) (hereafter CA). The distance between the sites is 5800 km. Harmonic analysis has been used to obtain amplitudes and phases (hour of peak amplitude) for diurnal, semidiurnal and terdiurnal tides between 82 and 98 km altitude, but in this work we concentrate on the diurnal component. The period of observation was from April 2005 to January 2006. The results were compared to the Global Scale Waves Model (GSWM-09). Magnitudes of zonal and meridional amplitudes from November to January for CR were quite different from the predictions of the model. Concerning phases, the agreement between model and radar meridional tidal phases at each site was good, and a vertical wavelength of 24 km for the diurnal tide was observed practically every month, although on some occasions determination of the vertical wavelength was difficult, especially for the zonal component, due to nonlinear phase variations with height. For the diurnal zonal amplitude, there were notable differences between the two sites. We attribute this site-to-site difference of the diurnal zonal amplitude to the nonmigrating component of the tide and propose that an anomaly was present in the troposphere in the winter (Northern Hemisphere) of 2005– 2006 which produced substantial longitudinal variation.
Value Recognition and Intention to Adopt Smart City Services: A Public Value Management Theory Approach

Smart city, which employs information and communication technology (ICT) to resolve urban problems, is gaining more research attention in the innovation research. However, most previous studies regard citizens as merely passive accepters of the smart city services, focusing on individual private values. The present study aims to expand existing limited perspectives by applying public value management theory. Drawing from the literature review, we developed a dual perspective that a smart city service should encompass: private and public value. Then we set up a causal relationship between the value recognitions and intention to adopt smart city services. We further related antecedent variables to the dual value recognition in terms of citizens’ characteristics: prior knowledge, personal innovativeness, and citizenship. Two case subjects among currently operating smart city services in South Korea were selected to empirically investigate our hypothesis. Results confirm the recognition of both public and private value is significantly related to the citizens’ personal characteristics and resultant attitude towards acceptance and support for diffusion of the smart city services. This study is expected to provide useful implications for a new angle for the recipient of the smart city services, value orientation of the services, citizen’s participation, and method selection for promotion.
Resilient Urban Water Services for the 21th Century Society—Stakeholder Survey in Finland

Resilience has become a vital theme in the discussion concerning urban water services. Resilience in this context can be defined as both keeping up a good level of services, as well as rapid and fluent recovery from failures caused by natural disasters, unsound infrastructure or incorrect management. Although adequate water services resilience can be considered as sustainable, resilience is a wider concept than sustainability. In order to call water services resilient, all sections from policy and management to technical operation should be clear and coherent, and their operation in challenging situations also must be guaranteed. This study seeks a resilient approach to water services through a literature review, and a questionnaire to stakeholders; mainly water supply and sanitation experts. The results show that sufficient technology and good water quality are not sufficient for achieving resilient water services, but also education and institutional management are essential issues. These are accomplished by a methodical education system, capacity building, and good governance.
A Review on Prognostics Methods for Engineering Systems

Due to the advancements in sensing technologies and computational capabilities, system health assessment and prognostics have been extensively investigated in the literature. Industry has adopted and implemented many advanced system prognostic applications. This article reviews recent research advances and applications in prognostics modeling methods for engineering systems. The reviewed papers are classified into three major areas based on whether the physics of failure knowledge is incorporated for prognostics, i.e., the data-driven, physics-based, and hybrid prognostic methods. The technical merits and limitations of each prognostic method are discussed. This review also summarizes research and technological challenges in engineering system prognostics, and points out future research directions.
Delineation of Flood-Prone Areas in Data-Scarce Environment Using Linear Binary Classifiers

The knowledge and understanding of areas prone to flooding are critical in mitigating and reducing risks caused by extreme water events. In the Philippines, however, large scale riverine flooding still remains a huge challenge in many parts of the country as most river basins are still ungauged. This limitation has consequently led to data scarcity and deficiency and has prevented the application of comprehensive floodplain mapping techniques. This study aims to address such limitations by introducing a simplified method for the preliminary identification of flood exposed areas within a river system using geomorphic classifiers. The Geomorphic Flood Index (GFI), a linear binary classification technique, is used in delineating flood-prone areas in a watershed within the Cagayan de Oro River Basin. The index used three morphological features – the drainage network, the contributing area, and the water level to perform the linear binary classification. Results of the study showed the potential of the GFI in delineating flood-prone areas in data-scarce environments particularly in the watershed of the Cagayan de Oro River.
Unsupervised Attention Embedding for Document Clustering

Deep clustering algorithms perform learning feature representations and clustering tasks jointly by using neural networks with significantly improved performance over the traditional k-means or spectral clustering. Some groundbreaking proposals extract data spaces directly in “bags of words” approach without considering the semantic information of each document as inputs to deep auto-encoder networks. But these algorithms suffer from inaccurate feature space from the encoder output when dealing with incomprehensible and high-dimensional data. For solving this problem in this paper, an Attention-based Deep Embedded Clustering (ADEC) algorithm is proposed to improve representation of data space. ADEC extracts high quality embedded features and performs clustering jointly with learning embedded features which are suitable for document clustering. The experimental result shows that the performance and accuracy of document clustering is improved significantly using the ADEC clustering framework on two datasets REUTERS-10K and REUTERS.
How Mobile Technology can be used to Develop Real-Time Animal Disease Surveillance in Indonesia?

—Setting up a real-time early warning system based on animal disease surveillance in Indonesia is difficult, since Indonesia is a vast archipelago with many islands. Mobile technology offers new opportunities for disease reporting. However, the development of mobile technology for animal disease surveillance has no roadmap to develop its information technology framework. This paper aims to present a conceptual framework of a mobile smartphone–based frontline surveillance system development in Indonesia. The framework included assistance in data collection for increasing the quality of animal disease surveillance reports. This paper described possible new technologies using the participatory approach. The overview of the best practices of animal surveillance programs implemented by the Food Agriculture Organization (FAO) and the Indonesia Ministry of Agriculture (MOA) was given comprehensive suggestions for future development. The roadmap of animal disease surveillance development shows the sustainability potential of mobile technology-based for animal disease surveillance in Indonesia. The development of human resources and increased communication between stakeholders were important for successful implementation. This paper can be seen as guidance to the animal disease early warning system in Indonesia.
Machine Learning Prediction of Primary Tissue Origin of Cancer from Gene Expression Read Counts

Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. Generally, manufacturing of proteins by cells is controlled by genes. Each gene must have the correct instructions for making its protein, so that it allows the protein to perform the correct function for the cell. When one or more genes in a cell mutate and create an abnormal protein, that is when cancer begins. An abnormal protein provides different information compared to a normal protein. This can cause cells to multiply uncontrollably and cause cancer. RNA sequencing (RNA-seq) can be used to figure out the functional and structural changes occur in genes. RNA-seq can profile the abundance and composition of entire transcriptome. It is a highly sensitive and accurate tool for measuring expression across the transcriptome. Since it can reveal the changes affecting genes, RNA seq can be valuable for diagnosing, characterizing tumors. For building the models to classify the given transcriptome data into a particular tissue, data from The Cancer Genome Atlas (TCGA) was used. Using this data, we implemented and compared various machine learning classification algorithms including decision trees, support vector machines, random forest classifiers, K nearest neighbors, stochastic gradient descent classifier to classify gene expression data to a particular tissue. Among all the classifiers used, Stochastic gradient descent classifier with squared hinge loss function had the best performance based on the traditional machine learning metrics. RNA sequencing, which is an easy to perform test, is done in most labs, therefore there is a great variability on the quality of data. To test if the model built using TCGA transcriptome data generalizes well to classify the genome data, a test was performed on Genotype Tissue Expression (GTEX) data (which is completely independent from TCGA data). The results were not as high as training data results, but the most evident misclassification was in between Esophagus and Stomach. When considered only TCGA data, the classification test accuracy achieved was 95.46 percent whereas when considered GTEX data too, the training accuracy was 91 percent and test accuracy was 58 percent.
Exploration on the Application of Blockchain Audit

—With the rise of Bitcoin, the blockchain technology as its core technology has received wide attention from all walks of life. Blockchain technology demonstrates its potential for audit applications by virtue of decentralization, transparency, and data tampering. This paper starts from the characteristics of blockchain technology and discusses the application value of blockchain in audit. Through the comparative study on the blockchain audit application of the international "big four" firms and Chinese firms, the impact of blockchain audit on the firm's business and the working methods of auditors is discussed. Based on this, relevant suggestions are put forward for the future development of blockchain audit
Trimodality therapy for resectable gastric cancer: analysis of the benefit in radiation

Background: Gastric cancer is a common cause of cancer mortality worldwide, and due to its often advanced stage at the time of diagnosis, surgery alone is often inadequate treatment. Both chemotherapy (CH) and chemoradiation therapy (CHR) are used in the adjuvant setting and are both supported by randomized clinical trials. In this report, we compare the overall survival (OS), disease-free survival (DFS), and treatment toxicities of multimodal therapy with and without radiation. Patients and methods: Data from 193 patients diagnosed with stage IB-III gastric cancer treated with surgery (S group), surgery plus chemotherapy (S+CH group), or surgery plus chemoradiation (S+CHR group) were retrospectively analyzed. OS, DFS, and toxicities were compared in the various treatment modalities. Results: The S+CH (N=69) and S+CHR group (N=92) both had significant reduction in hazard ratio (HR) of death (HR, 0.24; P<0.001; HR, 0.33; P<0.001, respectively) when compared with the S group (N=32). Although S+CHR showed no significant benefit in OS or DFS (P=0.73, 0.16, respectively) when compared with S+CH, in a subgroup of patients with clinically lymph node–positive disease, S+CHR had significant improvement in DFS (HR, 1.83; P=0.047). Significantly higher rates of esophagitis were observed in the S+CHR, but no significant difference in grade 3 to 4 hematologic toxicities. One treatment related death was recorded in S+CH from postsurgical grade 5 sepsis. The clinical nodal classification was borderline significantly different between the S+CH and S+CHR groups (P=0.05) with a greater percentage of the S+CHR group being node positive. Conclusions: Multimodal therapy was associated with improved OS in our report when compared with surgery alone. Although patients who received CHR along with surgery did not have a significant difference in OS or DFS when compared with those receiving only chemotherapy with surgery, there was a difference in DFS in those patients who were clinically lymph node positive.
Role of consumer personality and involvement in understanding customer experience

The objective of this study is to understand customer experience which is a construct made up of experiential elements created by the organization such as product, service scape, and brand and that of consumer ’ s personal values and preferences. When the experiential element interacts with the consumer construct, it starts an involvement process that makes the consumer evaluate the product (as a measure) on hedonic and utilitarian dimensions. The product/brand, when used, elicits emotions that lead to purchase intention behavior which is presented in the structural model. The authors have followed Tan, Foo and Kwek (2004) nested model approach in order to achieve the best fitting model for testing our hypothesis.
Mental Health Status of a Community in Phayao Province: a Survey Report

Background: Mental health problem is a significant public health concern in Thailand. This study reports on the findings of a mental health status survey conducted in communities in Phayao province, Thailand. The survey was conducted to collect base line data for the Capacity Building in Health Promotion Project, which aims to achieve a healthier community. Method: Four hundred community members were recruited using convenience sampling. Mental health status was assessed using the General Health Questionnaire-12 (GHQ-12), Patient health questionnaire (PHQ-9), and the eight-question suicidal screening (8Q) was also administered when PHQ-9 scored positive. Knowledge about depression was also assessed. Data were collected in March, 2015. Results: Nearly sixty percent of respondents were females, 71.1% were married, 67.0% had primary school education, 41.3% were farmers. 62.8% of those interviewed did not have any illness, 30.0% had at least one illness and ongoing treatments. The average age was 54.98 years; 39.8 % were older than 60 years. The majority of those interviewed were none smokers, whereas 58.3 % were none-alcohol drinkers. The survey revealed 8.0% of respondents had a positive score for the GHQ-12, 2.5% scored positive for the PHQ- 9, and 1.75% scored positive for the 8Q. These findings demonstrate that the prevalence of depression in this sample is similar to the rates found in the national survey. Older persons were particularly at risk for experiencing depression. It is noteworthy that a positive relationship was found between GHQ-12 and PHQ- 9(r=0.38, p<0.001). Conclusion: Although the majority of responds had good overall awareness of depression, there was less knowledge regarding its causes. Early detection of people affected by depression in the community should be enhanced in order to increase early intervention, and therefore decrease burden of care.