Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing

There has been an explosion in unstructured text data in recent years with services like Twitter, Facebook and WhatsApp helping drive this growth. Many of these companies are facing pressure to monitor the content on their platforms and as such Natural Language Processing (NLP) techniques are more important than ever. There are many applications of NLP ranging from spam filtering, sentiment analysis of social media, automatic text summarisation and document classification. Many of the more powerful models are supervised techniques that need large amounts of labelled data in order to achieve excellent results. In many cases in the real world large text datasets, such as customer feedback, are available but unlabelled for a specific behaviour or sentiment of interest. Labelled data can be expensive to acquire or at the very least represents a bottleneck in the modelling process as resource is allocated to apply labels. Self-learning is a technique that can take a small amounts of labelled data and automatically label more data in order grow the pool of training data and boost model performance. This research was concerned with investigating the merits of self-learning using a dataset of 10,000 Wikipedia natural language comments. It evaluates the performance of an iterative self-learning algorithm given small amounts (0.2%, 1.0%, 2.0%, 4.0%, 10.0%, 20.0%, 30%, 40%) of labelled data. One of the interesting findings was that just 400 labelled data points could be used to automatically label an additional 3,574 observations resulting in an enhanced dataset with Average Class Accuracy (ACA) of 97.1%. A Support Vector Machine (SVM) and Convolutional Neural Network (CNN) were then trained on these enhanced datasets and performance compared against models trained on the original datasets with no self-learning. It was found that self-
`Clearing' the cervical spine in conscious trauma patients

This is a systematic review of published evidence regarding management of the cervical spine in conscious and co-operative trauma patients. We examine the literature in the following sections: clinical evaluation of the cervical spine; use of plain radiography; use of additional radiographic views; use of computed tomography; use of magnetic resonance imaging. Finally we consider the elderly and paediatric populations, particularly where there are significant differences compared to the general adult population. This paper also reviews the literature regarding non-medical assessment of the cervical spine. We conclude that there are well-validated decision rules available to guide the clinician, and that each imaging strategy has distinct advantages and disadvantages. Familiarity with these issues provides a sound basis for safe and effective decision-making.
Teachers' Job Satisfaction and the Role of Principles for Effective Educational System in Secondary Schools of Karachi, Pakistan

This research examines the Teachers Job Satisfaction and role of secondary school Principal that has an ultimately impact on students’ achievement in a positive way. This research was conducted in two phases: In the first phase the data were collected through focus group interviews, which were identified by male schools, and female schools teachers. The second phase of the study was to develop questionnaires with the help of focus group interviews and collect data of 40 school teachers and those data were analyzed by using statistical tools. The study concludes that most of public sector schools teachers think that the democratic style of Principals’ working are more emphasized to enhance the level of job satisfaction but most of the principal does not involve the teachers in any decision of administrative nature. Principal must be honest in his dealing with teachers (other staff member). Principal should assignee teaching tasks according to the capabilities of the teachers and monitor them not to criticize but to improve their performance. Principal and teachers need to work together to provide an atmosphere that is conducive for the education process.
Study of knowledge, attitude, and practice of prescribing generic medicines by healthcare providers in tertiary care teaching hospital-BRIMS, Bidar

Introduction: Medicines play an important role in decreasing morbidity and mortality. But due to high cost factor achievement of good healthcare at door step has become impossible. Generic medicines are cost effective without compromising the quality. Aims and Objectives: To evaluate knowledge, attitude, and practice (KAP) of generic medicines among the prescribers in a tertiary care teaching hospital -BRIMS, Bidar. Materials and Methods: This was a cross-sectional, observational, and questionnaire-based study. A 14-item multiple choice questionnaires were distributed to the participants to assess their KAP regarding generic medicine. Results: About 61.22% participants agreed that generic medicines differ from their innovator brand name drug in nature of excipients. 81.63% interns agreed that cost of generic medicines is lesser than the innovator brand name drugs. 81.63% interns agreed there should be a training program to increase the awareness regarding generic medicines among doctors. 31.61% interns stated that generic medicines can be switched over to the brand name drugs and vice versa. About 87.75% interns were ready to encourage patients to use generic medicines. Conclusion: In the present study, we found that interns had good knowledge about generic medicines and Jan Aushadhi Yojana. Educational programmes like training, seminars, Continues Medical Education (CME) can increase the significance of generic medicine
Understanding the Essence of Scholarship From the Lived Experiences of a Select Group of Outstanding Filipino Researchers

Capitalizing on the power of narrative-interpretive method in surfacing the essence and the multiple layers of meanings embedded in subjective realities, this qualitative study captured the lived experiences of a select group of outstanding university researchers who are active members of the National Research Council of the Philippines (NRCP). The long years of teaching and active research involvement of the eleven research participants facilitated the conduct of an in~depth narrative interview, which dwelt on their individual and collective research experiences and exposures. Interestingly, the use of cool and wann analyses helped emerged the essence of scholarship in the context of the lived experiences of the research participants. The emerged MotivationActivity-Product(M-A-P) continuum in this study creates a panorama that would help the readers understand the driving, defining and deepening aspects of scholarship.
The link between body and behavior: A new way to quantify morphological computation with variations in the snake morphology

In response to the classical symbolic approach to cognitive science that emphasizes the importance of representational structures in the mind and the use of computational procedures, Rodney Brooks and Rolf Pfeiffer advocated for a theory of cognition that centers on embodiment, in which intelligent behavior arises as a result of the body’s interaction with the surrounding environment. Under this notion of embodied cognitive science, the body’s morphology influences its perception and guides not only its behavior but also the amount of control the body has over those actions. However, by completely cutting ties with the computational theory of mind and representational states, the field of embodied cognition has difficulties producing formal, quantitative models without delving into highly sophisticated mathematical formalisms. Morphological computation represents a potential solution by suggesting that the body performs certain processes to offload the computational burden needed for behavior on the brain, but it is as challenging to quantify as embodied cognition. This project attempts to use algorithmic information theory as a new approach to measure morphological computation. In order to gauge the effectiveness of this approach, eight morphologically different vertebral columns based on the corn snake (Pantherophis guttatus) were tested on a central pattern generator (CPG) to imitate the snake’s lateral undulation behavior. The computer code running the CPG was then modified so that all variants exhibit the same degree of lateral undulation and then compared with the control to measure the computational load relieved by each morphology. Through this investigation, we tested the viability of algorithmic information theory as a way to quantify embodied cognition by measuring how the morphology of the snake body aids its undulatory locomotion. Although noticeable discrepancies were present in ascertaining how different morphological elements influence the physical properties of the body, the experiment uncovered a positive correlation between the changes made to the morphology and the amount of computation needed to adjust the behavior in order to account for those morphological changes. As a result, we have determined that the general framework of this proposed approach offers substantial promise in navigating the relationship between the morphology of the agent and the cognitive computation required for its body to execute specific behaviors. The Link Between Body and Behavior 4
RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies

Rice blast is one of the most serious plant diseases. Many rice blast management approaches require know-how of experienced farmers or agronomists. Monitoring the farm for disease detection is labor intensive and time consuming. By using the Internet of Things (IoT) and artificial intelligence (AI), we are able to detect plant diseases more efficiently. Existing AI and IoT studies detect plant diseases by images or nonimage hyperspectral data, which require manual operations to obtain the photographs or data for analysis. Also, image detection typically is too late as rice blast may already spread to other plants. Based on an IoT platform for soil cultivation, we develop the RiceTalk project that utilizes nonimage IoT devices to detect rice blast. Unlike the image-based plant disease detection approaches, our agriculture sensors generate nonimage data that can be automatically trained and analyzed by the AI mechanism in real time. The beauty of RiceTalk is that the AI model is treated as an IoT device and is managed like other IoT devices. In this way, our approach significantly reduces the platform management cost to provide real-time training and predictions. We also propose an innovative spore germination mechanism as a new feature extraction model for agriculture. In the current implementation, the accuracy of the RiceTalk prediction on rice blast is 89.4%.
Model of Problem Statement (MPS): A solution on Heuristic Problem in Teaching of History

In the historical method, a heuristic is an approach to find, collect and organize resources to obtain relevant historical materials according to the topics discussed. This research is a development research that is meant to develop problem statement as a solution of the heuristic problem faced by the students of History Education Program of Faculty of Teacher Training and Education, Lambung Mangkurat University on the Subject of History Method. The steps of this study refer to the development procedures adopted and adapted from those as suggested by [19]. The steps of the model adapted for this research are as follows: (1) need analysis and initial search of information, (2) competence analysis needed, (3) the development of assessment instruments, (4) the development of learning strategies, (5) need analysis on the learning model, (6) conduct of a formative evaluation. The evaluation is in the form of initial test using the one to one test involving 3 students who were representatively chosen. Furthermore, the small group and limited tests were conducted. The test was attended by 57 students determined from the participants of the Historical Method Subject in Study Program of History Education, Faculty of Teacher Training and Education, Lambung Mangkurat University. The results showed that their heuristic ability increased after the pretest and posttest for three times. MPS makes the students more critical in searching historical sources (heuristic competence) and in interpreting the historical sources. As a result, MPS gives an influence towards the students’ learning achievement.
Rules of Thumb in Household Savings Decisions: Estimation Using Threshold Regression

The rules of thumb offered by financial advisors regarding how much to hold in liquid reserves vary widely and usually imply far greater sums than low-income households save. This paper seeks empirically-grounded insights into the minimum liquidity buffer needed by the average low-income household. First, we document diminishing benefits to liquid savings in terms of the likelihood of experiencing financial hardship. Then, we formalize this relationship with a theory of poverty traps. Finally, to observed data, we fit a regression kink model with an unknown threshold (kink) point that must be estimated. Our key finding is that the threshold point is $2,467 with a 95% confidence interval of $1,814–$3,011 (in 2019 dollars) or roughly 1 month of income for the average low-income household – which is far less than the savings amounts implied by common rules of thumb (typically 3–6 months of income). Theoretical evidence suggests that financial advice based on an empirically-estimated threshold point is welfare enhancing for households with naive perceptions of their probability of experiencing financial problems.
A study of risk factors in young patients of myocardial infarction

Background: Coronary Artery Disease (CAD) is the major cause of morbidity and mortality burden in the world. Young patients with CAD are specific subset of population requiring attention. A variety of possible contributing factors that include substance abuse, coronary artery anomalies, hypercoagulablestate, oral contraceptive use in young women have been implicated for the pathogenesis of myocardial infarction. The purpose of this study is to collect data of young patients presenting with AMI so that it would be helpful in future for better management in this particular group of patients. Aim of the present investigation was to study clinical profile of acute myocardial infarction in young patients 18-45 years of age and to study the incidence of various risk factors in young patients with myocardial infarction. Methods: The study was conducted in Department of medicine of Santosh medical college & hospital. Study was conducted on 50 cases of acute myocardial infarction if they satisfied the following selection criteria after getting formal consent and ethical clearance. Results: In our study, we have examined patients of myocardial infarction who are aged between 18-45 yrs. and other eligibility criteria for the assessment of modifiable and non-modifiable risk factors in Ghaziabad area. The ratio of male to female sex ratio in our study is 5.25:1 and 64% of the patients in present study had anterior wall MI while 24% had inferior wall MI and 12% had antero-septal wall MI. Conclusions: Mean age of study group is 36.24 ±4.32 years. The maximum number of patients was in 35-40 years of age. Youngest patient was 25 years old male. The incidence of acute myocardial infarction is increasing in younger age group.
Using WhatsApp for Teaching a Course on the Education Profession: Presence, Community and Learning

Social media has gained popularity in the realm of education. However, little research has examined empirically the extent to which students interacting using social media experience a different level of social presence, sense of community and perceived learning compared to those interacting face-to-face. As many as 100 students who were taking a course on Education Profession at the Department of Primary School Teacher Education at Halu Oleo University were recruited for this study. The students were randomly divided into two groups: Group one attended conventional face-to-face classroom instruction over the course of seven weeks and Group two used WhatsApp for learning. Questionnaires measuring social presence, sense of community and perceived learning were pre- and post-tested, followed immediately by interviews. The WhatsApp group reported a stronger sense of community, but both groups experienced an equal level of social presence and perceived learning. Reported benefits of WhatsApp far outnumbered its drawbacks.
Effectiveness of praziquantel in treatment of intestinal amoebiasis and giardiasis

Praziquantel in a single dose of 40 mg/kg body weight was effective in more than 80% of patients with amoebic dysentery and in 70% of those with intestinal giardiasis. These results were comparable to the effect of metronidazole the difference being the use of a single dose of praziquantel the rapid disappearance of clinical signs and symptoms and the ability of praziquantel to eradicate the cysts of E. histolytica. (excerpt)
Numerical Investigations of Diffusion of Metal Vapour and its Influence on Arc Behaviour in GMA Welding

The paper presents a model of a gas metal arc that takes metal vapour into account. The axisymmetric model implements MHD as well as turbulent mixing and thermal demixing of metal vapour in argon. The results are in good agreement with experimentally-observed temperatures and demonstrate a local central minimum in the radial temperature and radial electric current density distributions.
International Journal of Affective Engineering／Instructions for Authors

Scent and music are acknowledged to generate physiological and psychological changes on people, and the combination of scent and music is exerted in diverse situations. However, effects and utilization of scent and music in confined resting environment have not been examined exhaustively. To investigate the effects of scent and music on people’s moods and stress in confined resting areas, towards a better understanding about the olfactory and auditory environment, we tested six combinations of scent and music. The results indicated that music hardly changed people’s stress evaluation, but had significant effects on moods. On the other hand, scent dramatically affected both moods and stress assessment. Profound comprehension about scent and music will offer further inspiration for the design of olfactory and auditory environment in confined spaces, and new knowledge and perspectives gained through this exploratory study will serve to the thorough and supplementary research in the future.
Nurses’ Knowledge and Practice Regarding Prevention of Surgical Site Infection in Bangladesh

Surgical site infection (SSI) is a significant clinical problem for hospitalized surgical patients. The examination of nurses’ knowledge and practices regarding the prevention of SSI has not been conducted in Bangladesh. This descriptive correlational design was aimed at establishing the level of nurses’ knowledge and practice and to examine the relationship between nurses’ knowledge and practice regarding the prevention of SSI. The subjects were Bangladeshi nurses working in the surgical related wards of one acute care hospital. One hundred and twenty subjects returned the questionnaires, yielding a response rate of 96%. The Nurses’ Knowledge Questionnaire and Practice Questionnaire were administered. Data were analyzed by descriptive statistics and Pearson product-moment correlation. The findings revealed that nurses had low levels of knowledge (M = 69.67%, SD = 8.53%) and high levels of practice (M = 89.95%, SD = 4.06%). However, few nurses correctly answered or practiced in some areas of the prevention of SSI. There was a weak, negative correlation between knowledge and practice regarding prevention of SSI (r = -.18, p = .04). These findings suggest that nurses' knowledge and practice in some certain areas of prevention of SSI need to be improved.
Cloud/Edge Computing Service Management in Blockchain Networks: Multi-Leader Multi-Follower Game-Based ADMM for Pricing

The mining process in public blockchains with the Nakamoto consensus protocol requires solving a computational puzzle, i.e., proof-of-work, which is resource expensive to implement in lightweight devices with limited computing resources and energy. Thus, renting mining service from cloud providers becomes a reasonable solution, which is called cloud mining. This enables users who want to mine, i.e., miners, to purchase and lease an amount of hashing power from the cloud/edge providers without any hassle of managing the infrastructure. In this paper, we study the interactions among the cloud/edge providers and miners in blockchain using a multi-leader multi-follower game-theoretic approach, in order to support proof-of-work based blockchains application. Due to the inherent complexity of the formulated game, we employ the Alternating Direction Method of Multipliers (ADMM) algorithm to investigate the optimum solution. Utilizing the decomposition characteristics and fast convergence of ADMM, we obtain the optimum results in a distributed manner. Simulation results demonstrate that with the proposed solutions, the optimization of the utilities of miners and the profits of providers can be jointly achieved.
PREDICTIVE SIGNIFICANCE OF SERUM INTERLEUKIN-10 FOR ACUTE GRAFT VERSUS HOST DISEASE PRIOR TO ALLOGENEIC BONE MARROW TRASPLANTATION

Interleukin-10 (IL-10) is a potent immunosuppressor which inhibits alloantigenic T cell response. IL-10 is also an anti-inflammatory endogenous cytokine. To investigate the predictive significance of endogenous IL-10 for acute graft versus host disease (GVHD) following allogeneic bone marrow transplantation (BMT), we performed a prospective study on spontaneous IL-10 production in the serum of 96 patients admitted for allogeneic BMT. High spontaneous IL-10 production at the time of admission and prior to any preparative treatment correlates with a subsequent low incidence of GVHD as compared to patients with low IL-10 production. Our data demonstrate the predictive significance of increased IL-10 production in BMT patients and suggest a role for it in maintaining immunobalance in the setting of allogenic BMT. Acta Medica Iranica, 43(3): 177-181; 2005
DYNAMIC TENSILE AND MICRO-TENSILE TESTING USING DIC METHOD

Dynamic tensile testing of structural materials is becoming more and more important due to the need to obtain relevant data for components design mostly with the use of FEM in many industries such as automotive and power industries. The difference of the material behaviour under dynamic loading and quasi-static loading is that the dynamic strength or yield stress usually increases as the strain-rate increases. There is often a lack of experimental material or local properties of material are required. In many cases standard samples are too big and thus miniature samples based techniques have to be applied. The newly developed Micro-Tensile test technique (M-TT) is employed in this paper. M-TT specimen dimensions are based on Small Punch Test (SPT) sample volume of 8 mm in diameter and 0.5 mm in thickness. The following M-TT samples dimensions are usually used: thickness of 0.5 mm, width of 1.5 mm and parallel length of 3 mm. For precise strain measurement at high strain rate a high speed camera was used and the obtained record was evaluated by the ARAMIS system using the Digital Image Correlation method (DIC). The dynamic M-TTs were compared with dynamic tensile tests performed on standard samples and the results are presented here.