Improving Human-Machine Interaction

This thesis studies human and machine interaction. For better interaction between humans and machines, this thesis aims to address three issues that remain unanswered in literature. Three objectives are proposed in this thesis to address the three issues, and the objectives are: (i) identification of the core capabilities of a Human Assistance System (HAS) and study of implementation strategy of the core capabilities; (ii) development of a framework for improving the accuracy of human mind state inference; (iii) study of the effect of representation of the machine’s state (which is represented in a “natural” way) on the user’s actions. By a natural way, it is meant a way that contains emotions known to be always present in humans (or human emotions in short). The study includes theoretical development, experimentation, and prototype implementation. This thesis has concluded: (1) the core capabilities to be addressed in designing a HAS are transparency, communication, rationale, cognition and task-sharing and they can be implemented with the existing technologies including fuzzy logics, Petri Net and ACT-R (Adaptive Control of Thought-Rational); (2) expert opinion elicitation technique is a promising method to construct a more general framework for integrating various algorithms on human state inference; (3) there is a significant effect of the representation of the machine’s state on the user’s actions. The main contributions of this thesis are: (1) provision of a case study for the proof-of-concept of HAS in the area of Computer Aided Design (CAD); (2) provision of an integrated framework for fatigue inference for improved accuracy, being readily generalized to inference of other mind states; (3) generation of a new knowledge regarding the effect of the natural representation of a machine’s states on the user’s actions. These contributions are significant in human-machine science and technology. The first contribution may lead to the development of a new generation CAD system in the near future. The second contribution provides a much powerful technology for human mind inference, which is a key capability in HAS, and the third contribution enriches the science of human-machine interaction and will give impact to the field of Artificial Intelligence (AI) as well. The application of the result of this thesis is rehabilitation, machine learning, etc

Assessing Diagnostic Accuracy of Haemoglobin Colour Scale in Real-life Setting

The study was undertaken to determine diagnostic accuracy of Haemoglobin Colour Scale (HCS) in hands of village-based community health workers (CHWs) in real-life community setting in India. Participants (501 women) were randomly selected from 8 villages belonging to a project area of SEWA-Rural, a voluntary organization located in India. After receiving a brief training, CHWs and a research assistant obtained haemoglobin readings using HCS and HemoCueTM (reference) respectively. Sensitivity, specificity, positive and negative predictive-values, and likelihood ratios were calculated. Bland-Altman plot was constructed. Mean haemoglobin value, using HCS and HemoCueTM were 11.02 g/dL (CI 10.9-11.2) and 11.07 g/dL (CI 10.9-11.2) respectively. Mean difference between haemoglobin readings was 0.95 g/dL. Sensitivity of HCS was 0.74 (CI 0.65-0.81) and 0.84 (CI 0.8-0.87) whereas specificity was 0.84 (CI:0.51-0.98) and 0.99 (CI:0.97- 0.99) using haemoglobin cutoff limits of 10 g/dL and 7 g/dL respectively. CHWs can accurately diagnose severe and moderately-severe anaemia by using HCS in real-life field condition after a brief training

Penerapan Model Pembelajaran Numbered Heads Together (Nht) Dalam Upaya Untuk Meningkatkan Keaktifan Dan Hasil Belajar Mahasiswa Prodi Pendidikan IPA Ust YOGYAKARTA Tahun Akademik

: This research has been done to know how NHT as a model of study could increase activity and achievement the students of natural science education department on 2013/2014 of academic year. This was a class action research. This research consisted of two cycles. Each cycles was consist of planning, doing, observing and reflecting. The instruments of this research were lecture-observing papers, students-observing papers, evaluating papers and statements papers. The result showed increasing of students\u27 activity. At first discussion on first cycles, there were 52.5% active students, at last discussion on second cycles there were 90.8% active students. The average of students\u27 achievement has increased 15.3 points, i.e. from 63.2 to 78.5

Sickle cell disease and pregnancy outcomes: a study of the community-based hospital in a tribal block of Gujarat, India

Background: Sickle cell disease (SCD) is a hereditary blood disorder prevalent in tribal regions of India. SCD can increase complications during pregnancy and in turn negatively influence pregnancy outcomes. This study reports the analysis of tribal maternal admissions in the community-based hospital of SEWA Rural (Kasturba Maternity Hospital) in Jhagadia block, Gujarat. The objective of the study is to compare the pregnancy outcomes among SCD, sickle cell trait and non-SCD admissions. This study also estimated the risk of adverse pregnancy outcomes for SCD admissions. Methods: The data pertains to four and half years from March 2011 to September 2015. The total tribal maternal admissions were 14640, out of which 10519 admissions were deliveries. The admissions were classified as sickle cell disease, sickle cell trait and non-sickle cell disease. The selected pregnancy outcomes and maternal complications were abortion, stillbirth, Caesarean section, haemoglobin levels, blood transfusion, preterm pregnancy, newborn birth weight and other diagnosed morbidities (IUGR, PIH, eclampsia, preterm labour pain). The odds ratios for each risk factor were estimated for sickle cell patients. The odds ratios were adjusted for the respective years. Results: Overall, 1.2% (131 out of 10519) of tribal delivery admissions was sickle cell admissions. Another 15.6% (1645 out of 10519) of tribal delivery admissions have sickle cell trait. The percentage of stillbirth was 9.9% among sickle cell delivery admission compared to 4.2% among non-sickle cell deliveries admissions. Among sickle cell deliveries, 70.2% were low birth weight compared to 43.8% of non-sickle cell patient. Similarly, almost half of the sickle cell deliveries needed the blood transfusion. The 45.0% of sickle cell delivery admissions were pre-term births, compared to 17.3% in non-SCD deliveries. The odds ratio of severe anaemia, stillbirth, blood transfusion, Caesarean section, and low birth weight was significantly higher for sickle cell admissions compared to non-sickle cell admissions. Conclusions: The study exhibited that there is a high risk of adverse pregnancy outcomes for women with SCD. It may also be associated with the poor maternal and neonatal health in these tribal regions. Thus, the study advocates the need for better management of SCD in tribal Gujarat

Control of Apoptosis in Treatment and Biology of Pancreatic Cancer

Pancreatic cancer is estimated to be the 12th most common cancer in the United States in 2014 and yet this malignancy is the fourth leading cause of cancer-related death in the United States. Late detection and resistance to therapy are the major causes for its dismal prognosis. Apoptosis is an actively orchestrated cell death mechanism that serves to maintain tissue homoeostasis. Cancer develops from normal cells by accruing significant changes through one or more mechanisms, leading to DNA damage and mutations, which in a normal cell would induce this programmed cell death pathway. As a result, evasion of apoptosis is one of the hallmarks of cancer cells. PDAC is notoriously resistant to apoptosis, thereby explaining its aggressive nature and resistance to conventional treatment modalities. The current review is focus on understanding different intrinsic and extrinsic pathways in pancreatic cancer that may affect apoptosis in this disease

Regulation of angiogenesis by microRNAs in cardiovascular diseases

Non-coding RNAs are functional RNA molecules comprising the majority of human transcriptome. Only about 1.5% of the human genome is transcribed into messenger RNAs (mRNA) that are translated into proteins. Among the non-coding RNAs, miRNAs are extensively studied and miR targets in endothelial cells, perivascular cells, and angiogenic signaling are relatively well defined. MicroRNAs not only regulate transcripts in situ but also function as paracrine mediators in affecting angiogenesis at distant sites. Exosomal miRs are implicated in modulating endothelial cell function and angiogenesis. Thus miRs have been shown to affect tissue microenvironment in a multitude of ways. A comprehensive analysis of the role of miRs in modulation of angiogenesis and their impact on cardiovascular diseases is presented in this review