Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of acetyl-L-carnitine on leukemia L1210 resistant to mitoxantrone.

Supportive care in tumour chemotherapy is a subject of intensive research. The complications of cytostatic therapy are a cause of extensive research of their pharmacological interactions and side effects. The immunologic and biochemical changes accompanying tumours are the factor that is most responsible for the worsening of the physiology of the host. Regimens containing carnitine and it's acetyl-derivative are used in many cases, among others even for preventing hepatotoxicity. Our hypothesis was to verify the supporting metabolic effects of acetyl-L-carnitine hydrochloride (ALC) in combined therapy with mitoxantrone (MX) and hepatotoxic cytostatic drugs including alkylating agents. This present report describes the effect of ALC in combination with MX on DBA/2 male mice bearing a transplantable L1210 leukemia resistant to MX. The criterion for evaluation of effect was the length of survival time of experimental animals. The proportional-hazards model quadratic in the drug dose (7) was used for survival time evaluation and optimal dose calculation. The hazard functions and the index of relative hazard were determined using Weibull distribution after logarithmic transformation of the entered data in each particular group. The dose-response curve was represented by a second-degree polynomial without absolute term. The combination therapy revealed that the optimal dose of ALC was 186 mg/kg s.c. This relation is shown in Fig.1. A significant effect of ALC (s.c.) in combined therapy with MX (6 mg/kg i.v.) given to animals bearing an experimental form of leukemia L1210/MX resistant to MX was proven at a level of probability p < or = 0.001. The effect of ALC in monotherapy was not demonstrable.
Protection of Personal Information in the South African Cloud Computing environment: A framework for Cloud Computing adoption

Cloud Computing has advanced to the point where it may be considered an attractive proposition for an increasing number of South African organizations, yet the adoption of Cloud Computing in South Africa remains relatively low. Many organizations are hesitant to adopt Cloud solutions due to a variety of inhibiting factors and concerns that lead to the mistrust in Cloud Computing. One of the major concerns identified is information security within the Cloud Computing environment. The approaching commencement of new information security legislation in South Africa, known as the Protection of Personal Information Act (POPI), may provide an ideal opportunity to address the information security-related concerns and foster a trust relationship between potential Cloud users and Cloud providers. POPI applies to anyone who processes personal information and regulates how they must handle, store and secure that information. Cloud providers who can demonstrate that they protect personal information may be more trustworthy and therefore more attractive to potential Cloud users. This paper discusses a proposed Framework for Cloud Computing Adoption which could assist South African Cloud providers in approaching compliance with the POPI Act, providing transparency and accountability to potential Cloud users, fostering a trust relationship and ultimately promoting the adoption of Cloud Computing in South Africa.
Intelligent Techniques for the Extraction and Integration of Heterogeneous Information

Developing intelligent tools for the integration of information extracted from multiple heterogeneous sources is a challenging issue to effectively exploit the numerous sources available on-line in global information systems. In this paper, we propose intelligent, tool-supported techniques to information extraction and integration which take into account both structured and semistructured data sources. An object-oriented language called ODLI3, derived from the standard ODMG, with an underlying Description Logics, is introduced for information extraction. ODLI3 descriptions of the information sources are exploited first to set a shared vocabulary for the sources. Information integration is performed in a semiautomatic way, by exploiting ODLI3 descriptions of source schemas with a combination of Description Logics and clustering techniques. Techniques described in the paper have been implemented in the MOMIS system, based on a conventional mediator architecture.
Contrast gain control abnormalities in idiopathic generalized epilepsy

The origin of neural hyperexcitability underlying idiopathic generalized epilepsy (IGE) is not known. The objective of this study is to identify evidence of hyperexcitability in precisely measured visual evoked responses and to understand the nature of changes in excitation and inhibition that lead to altered responses in human patients with IGE.
Probabilistic models for monitoring and fault diagnosis

Reliably detecting and diagnosing faults is very important for autonomous systems. The problem is made difficult due to the large number of faults that can occur and the fact that most faults cannot be observed directly, but must be inferred from noisy sensor readings. Probabilistic models, such as Partially Observable Markov Decision Processes (POMDPs), are a natural representation for tracking the state of a stochastic system. To be useful for fault diagnosis, however, these models must be able to perform in real time and should be able to account for both anticipated and unanticipated faults. This paper presents some of our ongoing work in using POMDPs and particle filters for modeling and tracking faults in autonomous systems. We demonstrate how these methods can be used to detect, diagnose, and recover from faults, operating in real time on-board mobile robots.
Simulated Quantum Computation of Molecular Energies

The calculation time for the energy of atoms and molecules scales exponentially with system size on a classical computer but polynomially using quantum algorithms. We demonstrate that such algorithms can be applied to problems of chemical interest using modest numbers of quantum bits. Calculations of the water and lithium hydride molecular ground-state energies have been carried out on a quantum computer simulator using a recursive phase-estimation algorithm. The recursive algorithm reduces the number of quantum bits required for the readout register from about 20 to 4. Mappings of the molecular wave function to the quantum bits are described. An adiabatic method for the preparation of a good approximate ground-state wave function is described and demonstrated for a stretched hydrogen molecule. The number of quantum bits required scales linearly with the number of basis functions, and the number of gates required grows polynomially with the number of quantum bits.
Loss of Effective Connectivity During General Anesthesia

Neuroimaging for anesthesia research has come a long way since the first study on volunteers imaged with positron emission tomography (PET) in 1995. Overtime, we have seen scanner technology greatly improve. PET data sets of glucose utilization obtained on highresolution scanners now approach the image quality seen with magnetic resonance imaging (MRI) scans (Fig. 1). We have seen the introduction of functional magnetic resonance imaging (fMRI) techniques and watched clinical scanners already double their magnetic field strength from 1.5 to 3 T. fMRI made neuroimaging widely available to the neuroscience community and has already been applied to some studies of anesthesia. We have seen data analysis techniques that started from simple ‘‘cookie-cutter’’ region-of-interest analysis methods develop and evolve into 3-dimensional cluster analysis techniques that show where in the brain activations and deactivations occur, even if one did not have the foresight to place a region-of-interest box around a particular area before examining the data. Presently, another evolution in neuroimaging data analysis is at hand. The goal of this review is to provide the interested reader with some understanding of this next evolution and how it applies in the search for mechanisms of anesthesia. Image analysis is now moving from
A Taxonomy of Coordination Mechanisms Used in Real-Time Software Based on Domain Analysis

Abstract : A taxonomy of the coordination mechanisms for the synchronization and communication of concurrent processes is proposed. The taxonomy deals with the issues of a real-time software architecture that are application domain independent. The taxonomy will help the designer to find the appropriate coordination mechanisms for building a real-time domain specific software architecture. Features Oriented Domain Analysis methodology has been used to describe the taxonomy While Ada is the programming language that has been used here, some of the attributes and guidelines are still valid for other programming languages.
Computer Based Extraction of Phenoptypic Features of Human Congenital Anomalies from the Digital Literature with Natural Language Processing Techniques

The lack of laboratory tests for the diagnosis of most of the congenital anomalies renders the physical examination of the case crucial for the diagnosis of the anomaly; and the cases in the diagnostic phase are mostly being evaluated in the light of the literature knowledge. In this respect, for accurate diagnosis, ,it is of great importance to provide the decision maker with decision support by presenting the literature knowledge about a particular case. Here, we demonstrated a methodology for automated scanning and determining of the phenotypic features from the case reports related to congenital anomalies in the literature with text and natural language processing methods, and we created a framework of an information source for a potential diagnostic decision support system for congenital anomalies.
Developmental Regulation and Induction of Cytochrome P450 2W1, an Enzyme Expressed in Colon Tumors

Cytochrome P450 2W1 (CYP2W1) is expressed predominantly in colorectal and also in hepatic tumors, whereas the levels are insignificant in the corresponding normal human adult tissues. CYP2W1 has been proposed as an attractive target for colorectal cancer (CRC) therapy by exploiting its ability to activate duocarmycin prodrugs to cytotoxic metabolites. However, its endogenous function, regulation and developmental pattern of expression remain unexplored. Here we report the CYP2W1 developmental expression in the murine and human gastrointestinal tissues. The gene expression in the colon and small intestine commence at early stages of embryonic life and is completely silenced shortly after the birth. Immunohistochemical analysis of human fetal colon revealed that CYP2W1 expression is restricted to the crypt cells. The silencing of CYP2W1 after birth correlates with the increased methylation of CpG-rich regions in both murine and human CYP2W1 genes. Analysis of CYP2W1 expression in the colon adenocarcinoma cell line HCC2998 revealed that the gene expression can be induced by e.g. the antitumor agent imatinib, linoleic acid and its derivatives. The imatinib mediated induction of CYP2W1 suggests an adjuvant therapy to treatment with duocarmycins that thus would involve induction of tumor CYP2W1 levels followed by the CYP2W1 activated duocarmycin prodrugs. Taken together these data strongly support further exploration of CYP2W1 as a specific drug target in CRC.
The Role of Race, Ethnicity, and Party on Attitudes Toward Descriptive Representation

Using original survey data from the Cooperative Congressional Election Survey (CCES), we examine variation in racial and ethnic group and partisan attitudes toward legislators and representation. Respondents were asked about their views on descriptive representation, its importance for their own elected official, and whether it was important to have more descriptive representatives in general. Using respondents’ personal characteristics such as education, partisanship, race, ethnicity, income, and race and ethnicity of their House of Representatives member, we analyze the impact of these variables on attitudes toward representation. We find that Latino and Black respondents place a high level of importance on having descriptive representatives in their own districts in addition to articulating a high degree of importance to having more representatives from their respective group. However, Latino Republicans place less importance on descriptive representation overall than Latino non-Republican respondents. Non-Latino Republicans also place importance on more legislators of their same race or ethnicity. The findings have implications for democratic governance as the demographics of the United States rapidly changes.
Self-Efficacy of US High School Teachers Teaching the Federal Budget, National Debt and Budget Deficit: A Mixed-Methods Case Study

This study examined US high school social studies teachers' self-efficacy in teaching the federal budget, national debt and budget deficit prior to and after implementing a pilot curriculum on these topics. The authors examined 24 teachers' topical knowledge, inquiry-based instructional skills in democratic-dialogue-focused lessons and attitudes in civic engagement activities by using baseline and post-self-efficacy surveys, and interviews. The findings revealed that the implemented pilot curriculum had no effect on teachers' confidence of topical knowledge in teaching the topics, while a positive effect was found in the confidence of teachers in facilitating democratic dialogue. Additionally, after using the curriculum, teachers showed an increase in their belief that citizens can make a difference in society. The qualitative data from interviews with the teachers confirmed the survey results, and the teachers' positive perceptions of the curriculum experience suggested an overall success of the curriculum experience for teachers' self-efficacy. The authors believe the findings are suggestive of a process of learning that teachers themselves undertake in mastering content knowledge. An understanding of how teachers confront economic and public policy teaching tools and increases in self-efficacy may result in more empowered teachers and informed students.
Stroke and Hypertension in Children and Adolescents

Hypertension is the single most important modifiable risk factor for adult stroke. Stroke mortality has significantly decreased over the last 5 decades; this decline has been mainly associated to improved blood pressure control. Though much less prevalent than in adults, stroke is an increasingly recognized cause of morbidity and mortality in children. Although hypertension has not been strongly identified as a risk factor in childhood stroke yet, there is preliminary evidence that suggests that elevated blood pressure may be associated with stroke in children. This review summarizes the literature that may link elevated blood pressure to the development of childhood ischemic and hemorrhagic stroke. The authors suggest that elevated blood pressure may be a significant risk factor that, alone or in combination with other multiple risk factors, leads to the development of stroke in childhood. It is therefore recommend that blood pressure be measured and assessed carefully in every child presenting with acute stroke.
Cryptosporidium species screening using Kinyoun technique in domestic cats with diarrhea

Cryptosporidium is a coccidian that can lead to diarrhea, especially in immunosuppressed individuals. Retroviruses are considered a primary cause of immunosuppression in cats. Fecal specimens and blood collected from the 60 cats were evaluated for the presence of acid-fast cryptosporidia in three consecutive stool samples and for feline leukemia virus (FeLV) antigen and feline immunodeficiency virus (FIV) antibody by ELISA testing. Five animals (8.33%) shedding oocysts were found, one was both FIV- and FeLV-negative and four were FeLV-positive.
Becoming a hopper : research-practice-training synergy Society for Psychotherapy Research 44th International Annual Meeting, Brisbane, Australia, July 10 to 13, 2013 Going the distance : from psychotherapy research to practice and back : conference report

This was my first foray as an academic into the world of the overseas international conference. And what a journey leaving OR Tambo at 10:30pm and arriving at the other end of the earth at 10:30pm Brisbane time. A day on planes is sufficient time to cover all the anxieties of a novice academic's presentation: Is my presentation on my memory stick? (Yes). On the other memory stick? (Yes). Have I "gmailed" the presentations to myself? (Yes). Have I got my passport? (Yes). Have I got my payment confirmation of conference registration? (Yes). Can I back out now? (NO! )
EMI prediction of a new ZCT two-switch flyback converter

In this paper a double ended flyback converter working under ZCS condition is introduced. The proposed converter uses an active auxiliary snubber circuit to provide soft switching conditions. Besides providing soft switching condition, another parameter which is very important in power converters is electromagnetic interference (EMI). Therefore, the effect of the soft switched proposed converter and its behavior on EMI is investigated and predicted. Also the results are compared with the hard switching one. In order to show the effectiveness of the predicted model for the proposed converter to anticipate the converter's EMI behavior, simulation results are offered.
SOCIAL INTERACTION ANXIETY, SELF-ESTEEM VIS-A-VIS INTERNET USAGE – A STUDY ON YOUNG ADULTS

The aim of the present investigation is to study the social interaction anxiety and self-esteem of internet users between the ages 18 to 25 years. Accordingly, a group of 90 internet users (30 from internet user without addiction, 30 from internet user with mild addiction and 30 from internet user with moderate addiction) were selected as sample in this investigation. A General Information Schedule, Internet Addiction Test, Social Interaction Anxiety Scale and Rosenberg’s Self-Esteem Scale were used as tools. The findings revealed that social interaction anxiety increases with the increase of internet usage, on the other hand, self-esteem is comparatively higher among the internet users without addiction than that of the mild and moderately addicted internet users. Besides this, there is positive correlation between internet usage and social interaction anxiety. On the contrary, there is negative correlation between internet usage and self-esteem. Considering the findings of the study, it can be said that there is a dire need to develop intervention strategies for the internet addicted people to increase their self-esteem and also to reduce their problems related to social interaction anxiety. Key words: Social-interaction anxiety, Self-esteem and Internet usage
Link-time optimization for power efficiency in a tagless instruction cache

The instruction cache is a critical component in any microprocessor. It must have high performance to enable fetching of instructions on every cycle. However, current designs waste a large amount of energy on each access as tags and data banks from all cache ways are consulted in parallel to fetch the correct instructions as quickly as possible. Existing approaches to reduce this overhead remove unnecessary accesses to the data banks or to the ways that are not likely to hit. However, tag hunks still need to be checked. This paper considers a new hybrid hardware and linker-assisted approach to tagless instruction caching. Our novel cache architecture, supported by the compilation toolchain, removes the need for tag checks entirely for the majority of cache accesses. The linker places frequently-executed instructions in specific program regions that are then mapped into the cache without the need for tag checks. This requires minor hardware modifications, no ISA changes and works across cache configurations. Our approach keeps the software and hardware independent, resulting in both backward and forward compatibility. evaluation on a superscalar processor with and without SMI' support shows power savings of 66% within the instruction cache with no loss of performance. This translates to a 49% saving when considering the combined power of the instruction cache and translation lookaside buffer, which is involved in managing our tagless scheme.
Iterative Channel Estimation for Wireless Communications

To My parents and family for their patience and support for all these years. iii ACKNOWLEDGEMENTS This thesis is by far the most significant accomplishment in my life, and it would be impossible without people who supported me and believed in me. Most of all I would like to express my sincere gratitude to my advisor, Professor Gordon L. Stüber, for his professional advice and guidance throughout my studies at Georgia Institute of Technology. The experiences in the Wireless Systems Laboratory (WSL) under Professor Stüber are the most valuable times in my career and life. I sincerely thank my co-advisor, Professor Ye (Geoffrey) Li, for his guidance and encouragement. I would also like to sincerely appreciate my thesis committee members, remarks and comments have made significant contributions to improving the quality of my thesis. I am also grateful to all the other professors from whom I have learned a lot during my studies at Georgia Tech. Zajic for their helpful discussions and encouragement. I would like to be very grateful to my lovely wife, HangEun, and lovely son, JinWoo, for their intense support, endless patience and great devotion. Without their unconditional support, patience, and sacrifice, I could have never made it this far. Finally not but the least, I cannot complete these acknowledgements without expressing how appreciative I am of all the love and affection that my parents have provided throughout my life. This thesis is dedicated to them.
An Air Index for Spatial Query Processing in Road Networks

Spatial queries such as range query and kNN query in road networks have received a growing number of attention in real life. Considering the large population of the users and the high overhead of network distance computation, it is extremely important to guarantee the efficiency and scalability of query processing. Motivated by the scalable and secure properties of wireless broadcast model, this paper presents an air index called Network Partition Index (NPI) to support efficient spatial query processing in road networks via wireless broadcast. The main idea is to partition the road network into a number of regions and then build the index to carry some pre-computation information of each region. We also propose multiple client-side algorithms to facilitate the processing of different spatial queries such as kNN query, range query and CNN query. A comprehensive experimental study has been conducted to demonstrate the efficiency of our scheme.