Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Ginger (Zingiber officinale) Aqueous Crude Extract Induce Apoptotic Pathways in Drug-Resistance Acute Myeloid Leukemia: In Vitro Study?

While chemotherapy remains to be one of the main using approaches in the clinical treatment of acute myeloid leukemia (AML), multidrug resistance (MDR) is considered the major obstacle that limits the therapeutic efficacy. Nowadays, Herbal therapy as an adjuvant therapy has been used for many health problems. Ginger (Zingiber officinale) is considering one of the promising herbal spices showing high therapeutic and preventive effects against many disorders specially cancer. In the current work, we focused on the role of ginger crude extract in fighting drug resistant AML. MTT assay showed a significant decrease in cell viability and clear cytotoxic effect on HL60/ADR and HL60 cell under the high concentrations (100 and 1000 μg/Ml) of ginger extract. The flow cytometry results showed a significant apoptotic cell death by ginger in HL60 and ADR/Hl60 and also confirmed by immunostaining of nucleus by DAPI which showed apoptotic nuclei. Our data clearly declared that the high concentration of ginger extract is promising anticancer drug by induction of apoptotic cell death in HL60/ADR cells especially in drug resistant AML.
Reply to the Letter to the Editor Regarding Our Article “Assessment of Functionality of Multifunction Prosthetic Hands”

Thecomments from the Handspring team are interesting. The study under question is part of a series of tests to answer the single question of the capabilities of different designs of powered hands within the function domain. The questions raised by the team fall into two parts: the design of the experiment and the use of the SHAP (Southampton Hand Assessment Procedure) device. This study is the third in a series of studies with the same protocol, which means it has been read and approved by up to nine independent reviewers in two different journals; this gives the author confidence in its design. This is a study to assess the function of a number of prosthesis designs. The limits of the study are acknowledged in all three of the articles. The use of a single subject enables comparisons between prosthesis types to be direct. As stated, it allows a greater number of measurements to bemade with a subject than would be ethically possible with a user. Tests with multiple users would be an entirely different study requiring different tools. By isolating one variable, the user, the comparison becomes between the capabilities of the devices alone, nothing more. The program of tests based on this protocol looked at the functional effectiveness of
Smart house automation system for the elderly and the disabled

To improve the quality of life for the elderly and disabled, a smart multisensor system based on advanced telecommunication and information technology has been developed. It is designed to monitor these people so as to bring them more security and safety without disturbing their life. The living habits and behaviour of the elderly are recorded with the multisensor system. Artificial neural networks (ANNs) are used to learn the habits of this group of people, thus any behavioural change can be diagnosed. The multisensor system along with the ANN methodology used for learning and some system functionalities are described. Results of habits learning are also given.
Heart Disease Diagnosis Using Machine Learning

---- The scope of Machine Learning algorithms are increasing in predicting various diseases. The nature of machine learning algorithms to think like a human beings are making this concept important and versatile. Here the challenge of increasing the accuracy of Heart disease prediction is taken upon. In the proposed work, decision support system is made by two supervised machine learning models namely Random Forest and Logistic Regression. The method of predicting heart diseases using Random Forest with well-set attributes predicts the stage of heart failure of the patient. Logistic Regression Analysis is used in the model to infer how confident can the predicted value be actual value when given as test data of a patient details in predicting the stages of heart failure. By the proposed algorithm for heart disease prediction, many lives could be saved in the near future.
Environmental index of energy consumption in buildings applied to parametric model design

This work is part of a doctoral thesis about optimization of parametric bioclimatic design. We develop two bioclimatic indexes of heating and cooling for typical winter and summer days respectively, which are optimised by means of genetic algorithms (GA) [1]. The object is a high-rise building with multiple uses, located in a plot of urban land, which adequates to Buenos Aires City Environmental Code [2]. The efficient envelope fulfils the Law of Thermal Conditioning in Buildings for Buenos Aires City and IRAM Standards 11604 [3] and 11659/1-2 [4]. After parameterizing the building geometry, we introduce solar thermal loads, transmission loads and internal loads. We employ our own climatic data from the Laboratory: hourly solar radiation and temperature. Then, we run the program successive times in order to obtain a set of solutions, which have equivalent energy performance but different spatial configuration. We utilize a genetic algorithm (GA) to optimise the process [5]. Based on the results, we can analyse which variables influence the energy performance of the alternatives. This tool proves to be effective to design and optimise architectural solutions for a high-rise building, while giving the designer more options than traditional design method. We verify the hypothesis of the incidence of envelope geometry on energy consumptionby means of these new indexes. The calculations of these new indexes—Bheat and Bcool —let us evaluate simultaneously both parameters, providing a common basis of comparison: 24-hour energy consumption of typical winter and summer days. We can affirm that energy efficient design cannot let apart summer condition for our bioclimatic zone (humid temperate) IIIb (IRAM 11603) [6]. Nevertheless, the above mentioned law in Buenos Aires Province only require a minimum Gheat, taking into account just winter condition. The same happens with IRAM Standard 11900 about energy efficiency labelling.
EFFECT OF THRESHOLD INSPIRATORY MUSCLE TRAINING VERSUS INCENTIVE SPIROMETRY IN UPPER ABDOMINAL SURGERIES: A COMPARATIVE STUDY

EFFECT OF THRESHOLD INSPIRATORY MUSCLE TRAINING VERSUS INCENTIVE SPIROMETRY IN UPPER ABDOMINAL SURGERIES: A COMPARATIVE STUDY Karuna Gautam Kamble *1, Vishnu Vardhan G.D 2. *1 MPT in Cardio-Respiratory Physiotherapy, Dr. A. P. J. Abdul Kalam College of Physiotherapy, PIMS Loni, Maharashtra, India. 2 Associate Professor of Cardiorespiratory Department, Dr. A.P.J. Abdul Kalam College of Physiotherapy, PIMS LONI, Maharashtra, India.
Circulating endothelial cells in inflammatory vascular disorders

A variety of inflammatory disorders affect microvascular endothelial cells. From a clinical point of view, estab− lishment of markers of ongoing endothelial injury and damage is of crucial importance to diagnose these disorders, monitor their activity and decide about treatment. In normal conditions, 99% of endothelial cells are quiescent and the physiological turnover of the endothelium is reflected by low basal levels of circulating endothelial cells (CECs). Increased number of these cells in various diseases linked with vascular injury seems to be a sign of severe vascular disturbance and may contribute adversely to the disease process. Several clinical interest of CECs will be discussed, including their relevance as a promising, non−invasive marker of endothelial injury, disease activity, severity or treatment efficacy, as well as their use in diagnostic tests, particularly in systemic vasculitides and sys− temic lupus erythematosus. In addition we describe the methodology of isolation of these cells, their potential pathophysiologic effects and phenotypic features which, when further assessed, may help to elucidate the patho− genesis of some vascular disorders (Adv Clin Exp Med 2007, 16, 1, 95–104).
Synchronization and Interdependence Measures and their Applications to the Electroencephalogram of Epilepsy Patients and Clustering of Data (PhD Thesis)

The main goals of this thesis are the comparative investigation, further development and improvement, and application of different measures of synchronization. In this thesis four different classes of the synchronization measures are compared with each other. These measures comprised the linear crosscorrelation, measures with information theoretic background such as mutual information and transfer entropy, phase synchronization measures based on either Hilbert or wavelet transform, and measures of generalized synchronization. For mutual information and transfer entropy a new family of estimators is developed. Their major advantage lies in vastly reduced systematic errors, when compared to previous estimators. This allows to use them on very small data sets. It also makes possible their use in independent component analysis to estimate absolute values of mutual dependencies. A theoretical comparison of the two phase extraction methods based on Hilbert and wavelet transform is derived in the second part of this thesis. Since pathological processes such as epilepsy are considered to be related to synchronization phenomena, all the measures of synchronization are applied in the third part of this thesis to the analysis of intracranial EEG recordings from epilepsy patients undergoing pre-surgical diagnostics. In this study we address the question whether it is possible to identify the location of an epileptic focus from an EEG recorded during the seizure-free interval. More generally, synchronization is just one way how systems can show dependencies. Finding dependencies between different (sub-)systems and classifying these systems based on the levels of dependencies among them is an important problem surpassing synchronization. Therefore, studying general dependencies and clustering data based on them constituted another part of the thesis. In this part we introduce a new, conceptually very simple and natural, hierarchical clustering algorithm, called mutual information clustering (MIC). We illustrate our method with several applications. Among them are clustering of DNA sequences of mammals and clustering of minimally dependent components of the ECG of a pregnant woman.
Current Status of Stem Cell Therapy for Sepsis and Acute Respiratory Distress Syndrome

Sepsis and acute respiratory distress syndrome (ARDS) are life-threatening diseases with high mortality, around 40%, and morbidity in all the critical care units around the world. After decades of research, and numerous pre-clinical and clinical trials, sepsis and ARDS remain without a specific and effective pharmacotherapy and essentially the management remains supportive. Over the last years, cell therapies gained potential as a therapeutic treatment for ARDS and sepsis. Based on numerous pre-clinical studies, there is a growing evidence of the potential benefits of cell-based therapies for the treatment of sepsis and ARDS. Different cell subtypes have been used for the treatment of both syndromes; however, the major part of the studies is using mesenchymal stem/stromal cells (MSC). Also, other relevant groups performed some pre-clinical studies using induced pluripotent stem cells (iPSC) for the treatment of both syndromes and alveolar type II cells for ARDS treatment. Numerous questions need further study, including determining the best source for the progenitor cells isolation, their large-scale production, and cryopreservation. Also, the heterogeneity of patients with sepsis and ARDS is massive, and the stratification of the patients will help us to determine better the therapeutic effect of these cell therapies. In this review, we are going to describe briefly the different cell types, their potential sources, and characteristics and mechanism of action. We will review several pre-clinical and clinical studies in ARDS and sepsis.
The effect of "postural freedom" in laparoscopic surgery

Laparoscopic surgery is considered one of the main surgical advances in the last decades, this technique has demonstrated numerous advantages compared to open conventional surgery and it is widely used in abdominal procedures around the world. For the patient, laparoscopic surgery suppose less post-operative pain, shorter recovery time, lower risk of infection, and reduction of the trauma among other benefits. For the surgeon, the situation is completely different, this practice requires more effort, concentration and mental stress than conventional open procedures. It forces the surgeon to adopt non-neutral postures with phalanges, hands, wrists, and arms being this non-neutral postures the main cause of muscular fatigue and high risk of musculoskeletal disorders. The poor ergonomic postures accelerate muscle fatigue and pain because, outside the neutral range, muscles require more energy to generate the same contractile force than in neutral position. This increase of muscular fatigue is associated with the potential to commit errors that may harm the patient during the surgery. Because this problem is widely studied and different research centers are already trying to improve their surgeons experience in the operation room, the approach used during this work is different than most of the ones presented in previous works. Generally, the solutions proposed are based on ergonomic changes in the handle shape of the instrument, because the conventional pistol-grip handle is considered ergonomically poor. But the problem is not only in the shape of the handle but also in the fixed point of entrance that force the positions for the surgeon despite the handle? s shape. In this work, the concept of postural freedom in laparoscopic surgery is introduced and evaluated. The postural freedom concept is based on the hypothesis that the surgeon involuntarily would maintain neutral postures if the instrument does not force him or her to reach extreme position with the upper limbs. The benefits of this concept has been demonstrated, by means of electromyography and motion capture. It reduces the localized muscular fatigue and increases the number of neutral postures during laparoscopic simulations. In the final section it is proposed a design that implements the postural freedom concept with, according on the results, the potential to reduce the localized muscular fatigue and the musculoskeletal problems associated to the practice. The design proposed here acts as a new section on the arm, being an articulation that support the turns and big displacements that currently suffer the surgeon? s body. The solution is affordable and easy to manufacture and could be used by surgeons worldwide.
Rules and algorithms for the design of templates for template matching

Template matching is considered to be a powerful image processing tool that is particularly useful in industrial inspection problems. In industrial inspection large numbers of objects have to be processed in short time. The processing itself is relatively easy. The defects that are to be found are known and can be modelled with black and white patterns. Binary images are usually sufficient. In this paper the binary template matching operation is explained and some design rules for these templates are presented. Furthermore some algorithms are presented that allow these templates to be learned by teaching the methods. <<ETX>>
Learning about Learning Styles: Can This Improve Engineering Education?

There is considerable evidence that individuals vary in the ways they prefer to receive, process and demonstrate their knowledge. Research has found that mismatches between lecturers' expectations of the way students learn and students' own individual preferred learning styles lead to students' lack of motivation and interest, which in turn affects their success, and may cause attrition. This paper describes how a teaching project at the University of South Australia is aiming to achieve improvements in student satisfaction by redesigning approaches to teaching, learning and assessment of engineering subjects to recognise and accommodate a range of learning styles, at the same time extending and improving the range of learning and cognitive skills of all students. A large part of the project involves professional development, to enable the engineering staff who will design and implement these changes to understand the issues surrounding student learning styles. The project also aims to improve individual students' understanding of the ways in which they learn, and thus increase the effectiveness of their learning.
Analysis of the effects of quantization in high-order function neural network

A statistical quantization model is used to analyze of the effects of quantization in digital implementation of high-order function neural network. From the theory we analyse the performance degradation and fault tolerance of the neural network caused by the number of quantization bits and by changing the order. We try to predict the error in the high-order function neural network (HOFNN) given the properties of the network and the number of quantization bits. Experimental results show the error rate is inversely proportional to quantized bits M for HRFNN. The recognition performance of the backpropagation (BP) network and the HRFNN are almost the same for different quantization bits. The network's performance degradation gets worse when the number of bits is lower than 4-bit quantization. The network's performance degradation gets worse when the number of bits is lower than 4-bit quantization.
1.9‐Ghz‐band radio propagation characteristics in an open urban environment and tree loss prediction using a loss layer model

For design of optimum microcells on a university campus, it is necessary to determine the propagation characteristics within a propagation environment represented by a relatively large open space scattered with large buildings and many trees. In this paper, for the radiated waves from seven PHS base sites at 1.9 GHz experimentally installed on the campus of Hokkaido University from 1993 to 1994, a median received signal level measurement method is proposed that can be applied in unpaved garden areas (with glass and pebbles) as well as in areas with woods, vegetation, and hilly terrain, and its effectiveness is discussed. Next, for quantitative evaluations of the increase of the propagation loss due to trees in the propagation paths on the campus, a propagation model is proposed that consists of the loss layer model and the geometrical optics two-ray model. In the loss layer model, the loss due to trees is replaced with a loss per unit length of the propagation path. The estimated median received signal level and the measured value are compared to determine the effectiveness of the model. The increase of the propagation loss on the campus due to trees can be estimated if the loss per unit length of the tree layer by the present loss layer model is chosen to be about 0.1 dB/m for the base site antenna installed on the rooftop of the building and 0.07 to 0.09 dB/m for the antenna installed on the roof of the public phone box. © 2001 Scripta Technica, Electron Comm Jpn Pt 1, 84(8): 49–61, 2001
A Fast Clustering-Based Min-Cut Placement Algorithm With Simulated-Annealing Performance

Placement is an important constrained optimization problem in the design of very large scale (VLSI) integrated circuits [1–4]. Simulated annealing [5] and min-cut placement [6] are two of the most successful approaches to the placement problem. Min-cut methods yield less congested and more routable placements at the expense of more wire-length, while simulated annealing methods tend to optimize more the total wire-length with little emphasis on the minimization of congestion. It is also well known that min-cut algorithms are substantially faster than simulated-annealing-based methods. In this paper, a fast min-cut algorithm (ROW-PLACE) for row-based placement is presented and is empirically shown to achieve simulated-annealing-quality wire-length on a number of benchmark circuits. In comparison with Timberwolf 6 [7], ROW-PLACE is at least 12 times faster in its normal mode and is at least 25 times faster in its faster mode. The good results of ROW-PLACE are achieved using a very effective clustering-based partitioning algorithm in combination with constructive methods that reduce the wire-length of nets involved in terminal propagation.
Multimodal reference in dialogue : towards a balanced corpus

Generation of Referring Expressions (GRE), e.g., Dale and Reiter (1995), is one of the core tasks of Natural Language Generation (NLG) systems. Usually it is formulated as an identification problem: given a domain representing entities and their properties, construct a referring expression for a target referent or set of target referents which singles it out from its distractors. Recently, researchers in this area have turned their attention to multimodal referring acts, in particular, the interaction between the two modalities of pointing and describing – e.g., Kranstedt et al. (2006), Piwek (2007), and Van der Sluis and Krahmer (2007). Additionally, psycholinguistic work is increasingly investigating the conditions governing the use of pointing gestures as part of referring acts in dialogue, opposed to monologue. Here, we present the design of an experiment on multimodal reference in two-party dialogue. The purpose of the experiment is to create a corpus that can inform the development of multimodal GRE algorithms.
Analog Design Tool based on the ACM model

This paper presents MOSVIEW, a CAD tool for transistor-level analog design, which is based on the Advanced Compact MOSFET (ACM) model, derived from physics. MOSVIEW allows designers to size and bias the MOS transistor for a given set of specifications. A friendly graphical interface provides MOSVIEW users with a distinctive set of curves from which the design space is readily identified. MOSVIEW allows the designer to easily visualize solutions to his/her design and also optimize circuit performance. Design examples demonstrate the applicability of MOSVIEW as a powerful learning tool.
An Investigation of Occupational Therapists' and Physical Therapists' Perspectives on the Process of Change That Occurs among Clients during Rehabilitation, Including Their Use of Response Shift and Transformative Learning.

Purpose: A significant change in one's health status creates a process of change that has an impact on one's health-related quality of life. This process has been conceptualized in several theories, including response shift (RS) and transformative learning (TL). The purpose of this study was to investigate occupational therapists' and physical therapists' perspectives on the process of change that occurs in clients during rehabilitation. Method: An interpretive description approach guided this study. Five profession-specific focus groups were conducted. Participants were asked about their ideas, thoughts, and understanding of processes of change. Focus group discussions were recorded and transcribed. Data analysis was carried out using both inductive and deductive methods. Results: Participants were 14 physiotherapists and nine occupational therapists with 5-30 years of experience in rehabilitation settings. Participants recognized personal change in clients and noted that it involves many steps. They tried to facilitate this change by identifying signs of readiness. Without using theory-specific terminology, participants described observing and using concepts of RS and TL. Conclusions: Occupational therapists and physiotherapists play an important role in helping people learn to live with their chronic illnesses and disabilities. Further studies are needed to investigate how therapists can facilitate the process of change, including using RS and TL concepts and how this facilitation could improve clients' health-related quality of life.