Miracle-dz/UniFAR-FTUs huggingface dataset:
Infection in the Immobile Host: A Practical Review for the Intensive Care Physician

Immobility in the critically ill patient is a significant risk factor for infection, independent of the patient's underlying critical illness. Specific causes of infection related to immobility in the intensive care setting are explored. The pathogenesis, treatment, complications, and prevention of pressure ulcers, pneumonia, and urinary tract infections in the immobile patient are emphasized. Featured topics include the differentiation of colonization versus infection in pressure ulcers and the urinary tract, the significance and optimal treatment of positive fungal cultures, as well as a rational clinical approach to the immobile patient with a fever and no obvious source of infection. The clinical relevance of anaerobic infections in this population is emphasized because it influences empiric antibiotic therapy and differential diagnosis.
Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas

Internet of Things (IoT) gives a new dimension in the area of smart farming and agriculture domain. With the use of fog computing and WiFi-based long distance network in IoT, it is possible to connect the agriculture and farming bases situated in rural areas efficiently. To focus on the specific requirements, we propose a scalable network architecture for monitoring and controlling agriculture and farms in rural areas. Compared to the existing IoT-based agriculture and farming solutions, the proposed solution reduces network latency up to a certain extent. In this, a cross-layer-based channel access and routing solution for sensing and actuating is proposed. We analyze the network structure based on coverage range, throughput, and latency.
Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon

This work presents a procedure for classifying land-use and land-cover (LULC) types in the Brazilian Amazon. Fraction imagery representing proportions of green vegetation, soil, and shade was estimated using all six reflective bands of the Landsat-5 Thematic Mapper (TM1 to TM5 and TM7) through the linear spectral mixing model (LSMM). The fraction information registered at pixel level was then related to different types of land classes following three principal procedures: (1) selecting an image or image group as input for segmentation; (2) application of sequences of masking techniques to address the segmentation of preselected areas in order to obtain better image partitioning; and (3) application of an unsupervised classifier by region, named Isoseg, to group the segmented regions. Isoseg is a clustering algorithm that calculates the centre of each class using the covariance matrix and the average vector of the regions. An assessment of the classification was performed visually and by error matrix, relating reference data points to classification results. The results showed that fraction images were effective in highlighting the different types of LULC. Several tests were conducted to evaluate the efficacy of the masking technique in the process for extracting information. The results showed that the use of masks significantly improves the segmentation results. However, in the Isoseg classification process, the masking technique was not able to avoid omission and commission errors between classes of similar structures. On comparing the results obtained in this work with a Maximum Likelihood classification, it was found that adopting the procedures described resulted in increases of 10% in average and global accuracy, and 18% in average reliability. Furthermore, a reduction was observed in the variability of errors created in the classification.
Evaluation of combinations of nalbuphine with acepromazine or detomidine for sedation in ponies

Summary The effect of combinations of nalbuphine (0.3 mg/kg) with either detomidine (10 μg/kg) or acepromazine (50 μg/kg) was investigated in ponies. Nalbuphine enhanced the degree of sedation produced by both sedatives; sedation with detomidine and nalbuphine was profound. Cardiovascular and respiratory effects were mild and could usually be attributed to the effect of the sedative itself. Side effects were minimal and gave no cause for concern. It was concluded that nalbuphine, in combination with acepromazine or detomidine, is a safe and effective sedative for use in ponies.
Control of Bidirectional DC-DC Converter in Renewable based DC Microgrid with Improved Voltage Stability

Providing stable voltage at nominal level according to universally accepted standards is a primary concern of any public electricity network. In a renewable energy fed power electronic based DC microgrid system, renewable sources can have fluctuating power characteristics due to various environmental factors. In such an environment, chances of voltage instability are highly probable due to varying power nature of renewable sources and loads connected. In this paper, a bidirectional converter connected with battery storage is controlled based on the voltage of the micro grid in order to tackle the aforementioned problem. A selector based control algorithm in conjunction with proportional integral controller is used to trigger the bidirectional converter. Proposed control technique is simulated and implemented in a 60V DC microgrid and results are analysed.
Managing depression in older people

Although common and disabling, depression in old age remains both underdetected and undertreated. This is particularly regrettable in view of its high risk of chronicity, recurrence and suicide, as well as the considerable burden of associated health care costs. Despite the availability of a variety of physical and psychological treatment options of well-established efficacy, there is little recent evidence of improvement in either clinical practice or patient outcome. An understanding of the principles of management of depression in elderly patients requires some knowledge of the differences between such patients and their younger counterparts. The clinical presentation and diagnosis of depression in old age, its epidemiology and prognosis are reviewed briefly below, before focusing on the practicalities of treatment. The importance of improving detection and management of depression in old age (particularly in the primary care setting) has recently been highlighted by the publication, under the auspices of the Defeat Depression Campaign, of a consensus
A Procedural Way of Teaching Procedural Programming Language

A procedural programming language such as C and Pascal is usually the first programming language the most the students come across. However, in most curriculums, the concept of procedure’is introduced to the students after almost half of the course is covered. Many students are then found to be reluctant to get the fruit of procedural style of programming. They tend to write big programs without making use of procedures, functions or subroutines. Thus they do not feel the charm of programming as it should be encountered to solve a problem. This paper proposes a guideline of designing the curriculum of procedural programming language courses where thinking in a procedural manner is emphasized so that the learners can follow the art of procedural languages more comprehensively that the traditional style of curriculum design
On-line fetal heart rate monitor by phonocardiography

The beat-to-beat fetal heart rate variability can be evaluated using the fetal phonocardiogram (fPCG) as a part of a well-being evaluation procedure. In previous works, we have developed and tested an off-line algorithm to generate cardiotachograms (CTGs) by processing fPCGs. This method has showed its confidence to generate reliable CTGs, especially when maximums of cardiac sounds (S1 and S2) are used. Now we are interested to change our off-line processing scheme into a first on-line fetal heart rate monitor version. This monitor was developed with a LabView-Matlab program, it acquires and processes the fPCGs displaying, almost on-line, the CTGs generated by S1 and S2. It also storages information and provides the possibility to manually correct CTGs. For testing the monitor, off-line time references from five testing signals were calculated, and compared against monitor time references. This comparison showed good results on detecting on-line time references and intervals. The system really works as a monitor, it acquires and processes signals during 20 minutes at least, and its CTGs do not differ from the off-line CTGs for more than 2 ms. The system is now ready to include an adaptive filter that improves its performance with fPCGs.
Effect of Modified Banxia Xiexin Decoction Cooperated with Point Injection on Treating 56 Cases of Gastroesophageal Reflux Disease(GERD)

Objective:Observing the effect of Modified Banxia Xiexin Decoction cooperated with point injection on treating cold and heat mixed type GERD.Methods:112 cases of cold and heat mixed type GERD patients were randomly divided into two groups:treatment group of 56 cases,taking Modified Banxia Xiexin Decoction and cooperated with point injection;56 cases of control group,orally taking omeprazole and domperidone.Before and after treatment,detecting the content of stomach secrete element plasma(GAS),and observing the clinical symptoms and the changes of the upper esophageal inflammation under gastroscope.Results:The improvement of symptom score and plasma GAS level of treatment group was better than control group.Conclusion:Modified Banxia Xiexin Decoction cooperated with point injection can significantly increase the content of plasma GAS of cold and heat mixed type GERD patients and improve symptoms.Moreover,it can promote lower esophagus muscle(LES)function recovery,increase the pressure of LES,and prevent stomach acid reverse flowing.
Integrating Knowledge Resources and Shallow Language Processing for Question Classification

Typically, Question Classification (QC) is the first phase in Question Answering (QA) systems. This phase is responsible for finding out the type of the expected answer by having the answer space reduced by pruning out the extra information that is not relevant for the answer extraction. This paper focuses on some Location based questions and some Entity type questions. Almost all the previous QC algorithms evaluated their work by using the classes defined by Li and Roth (2002). The coarse grained classes Location and Entity both have fine grained class Other. In this paper we target and present the mechanism to create new classes to replace the Other classes in Location and Entity class. Additionally, we also present an automatic hierarchy creation method to add new class nodes using the knowledge resources and shallow language processing. We also show how language processing and knowledge resources are important in the question processing and its advantage on Answer Extraction phase.
Paul Whiteman: Pioneer in American Music

In this second volume of Rayno's magisterial treatment of the life and music of this remarkable maestro, Whiteman's career during the second half of his life is explored in the fullest detail, as Whiteman conquers the worlds of theater and vaudeville, the concert hall, radio, motion pictures, and television, winning accolades in all of them. Through hundreds of interviews, extensive documentation, and exhaustive research of over nearly three decades, a portrait emerges of one of American music's most important musical figures during the last century. Rayno paints a stunning portrait of Whiteman's considerable accomplishments and far-reaching influence.
The Kicktionary: A Multilingual Resource of the Language of Football

This paper presents the Kicktionary, a multilingual (English — German - French) electronic lexical resource of the language of football. It explains how a corpus of football match reports was analysed according to the FrameNet and WordNet approaches and how the result of this analysis is presented to a dictionary user via a website
Adaptive IFS image coding with proximity maps

The authors propose and evaluate a method for image coding using an iterated function system (IFS) which adaptively sets the map block size for the data being coded. In addition, the domain blocks are restricted to the neighborhood of their respective range, which greatly reduces the coding time and the map storage requirements. The resulting algorithm provides a higher SNR at a lower computational cost than previous methods. <<ETX>>
Psychological factors may impacton postmenopausal women fracture risk

Anxiety and osteoporosis are common diseases and major public health problems. The association between anxiety levels and bone loss was poorly investigated, thus we aimed to explore whether anxiety severity could be considered as an independent fracture risk. In a setting of postmenopausal women we measured anxiety levels by Hamilton Anxiety Rating Scale (HAMA), depressive symptoms by Beck Depression Inventory and evaluated quality of life by the 36-Item Short Form Health Survey (SF-36) questionnaire. Women with higher anxiety levels showed lower BMD at lumbar spine and femoral neck, and exhibited a poorer quality of life after grouping our population in tertiles of HAMA score. Anxiety levels were predictive of reduced BMD after correcting for other known clinical risk of fractures.
Study on image feature selection: A genetic algorithm approach

This study was mainly about genetic algorithms of feature selection. The features adopted by this paper include CCM and DBPSP for the relationship between color and texture, CHKM for the color information of an image. The genetic algorithm of this study is implemented by MatLab program. The genetic algorithm optimization and searching technology adopted mechanics of genes and natural selection, and the algorithm implementation steps are: population initialization, fitness functions, selection, crossover, mutation, iteration and evolution. Feature selections used here are Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), and the genetic algorithm-based feature selection used in this essay respectively. This study was analyzed and compared the result of the experiment respectively. The experiment was carried out for comparing the image retrieval accuracy, feature selection and computing time of image retrieval.
Clinical supervision for clinical psychologists: existing provision and unmet needs

Clinical supervision is an integral aspect of training, and recommended as an essential part of good clinical practice. Our research surveyed 321 clinical psychologists practising in the North West of England. Among the 127 (40%) who responded to the anonymous questionnaires, 36 (28%) received no clinical supervision at all, of whom only four (11%) were happy not to have any. Of those who were getting at least some clinical supervision, only 17 (18%) were satisfied with their current arrangements, whilst 36 (40%) felt that they could be improved, and the remaining 38 (42%) considered current arrangements unsatisfactory. Access to supervision was more likely among women, those in less senior posts, and those practising more psychodynamically. Even if all non-respondents received adequate supervision, at least 13% of those practising in the North West received none at all. This is against the professional practice guidelines of the British Psychological Society, and contrasts with requirements of counsellors and psychotherapists who must have regular clinical supervision in order to be registered by their professional associations. Copyright © 1999 John Wiley & Sons, Ltd.
Arcana mundi : magic and the occult in the Greek and Roman worlds

Magic, miracles, daemonology, divination, astrology, and alchemy were the arcana mundi, the "secrets of the universe," of the ancient Greeks and Romans. In this path-breaking collection of Greek and Roman writings on magic and the occult, Georg Luck provides a comprehensive sourcebook and introduction to magic as it was practiced by witches and sorcerers, magi and astrologers, in the Greek and Roman worlds. In this new edition, Luck has gathered and translated 130 ancient texts dating from the eighth century BCE through the fourth century CE. Thoroughly revised, this volume offers several new elements: a comprehensive general introduction, an epilogue discussing the persistence of ancient magic into the early Christian and Byzantine eras, and an appendix on the use of mind-altering substances in occult practices. Also added is an extensive glossary of Greek and Latin magical terms. In Arcana Mundi Georg Luck presents a fascinating-and at times startling-alternative vision of the ancient world. "For a long time it was fashionable to ignore the darker and, to us, perhaps, uncomfortable aspects of everyday life in Greece and Rome," Luck has written. "But we can no longer idealize the Greeks with their 'artistic genius' and the Romans with their 'sober realism. ' Magic and witchcraft, the fear of daemons and ghosts, the wish to manipulate invisible powers-all of this was very much a part of their lives. "
Potential Management of Circulating Tumor DNA as a Biomarker in Triple-Negative Breast Cancer

As a specific subtype of breast cancer, Triple-negative breast cancer (TNBC) is associated with worse prognosis and higher tumor aggressiveness than HER2-amplified or hormone receptor positive breast cancers. Circulating tumor DNA (ctDNA), as a non-invasive “liquid biopsy”, is an emerging original blood-based biomarker for early breast cancer diagnosis, monitoring treatment response, and determining prognosis. In TNBC patients, ctDNA has an inherent tendency to characterize tumor heterogeneity and metastasis-specific mutations providing a key alternative to tumor tissue profiling. Several studies have already demonstrated the potential of ctDNA in TNBC patients from early to advanced stages of the disease including diagnosis, therapy decisions and assessment of prognosis. This review provides a critical brief summary of the evidence that gives credence to the utility of ctDNA as a biomarker for its role into clinical management in TNBC.
An empirical study of static load balancing algorithms

Empirically compares a variety of current algorithms used to map scientific computations onto massively parallel computers. The comparison is performed using Chaco, a publicly available graph partitioning code written by the authors. Algorithms are evaluated in terms of both computing cost and quality of partition, as judged by the execution time of the parallel application. <<ETX>>
Subtraction Perfusion CT: A Technical Note

It is challenging to attempt to obtain CT perfusion (CTP) images of the hyperdense tissues, which could conceal the density of contrast material during perfusion study. We report a new technique of subtraction CTP (SCTP) to compensate the shortcomings. SCTP post-processed by perfusion software for the data of post-perfusion images subtracting pre-perfusion corresponding images slice by slice in CTP source images is technically feasible without any adverse effects on patients. It provides a new functional imaging with quantitatively hemodynamic indexes of tissue microcirculation and reflects accurately the change of blood flow in tissues and organs.
Evaluation of Data Mining Classification Models

Abstract : This paper aims to identify and evaluate data mining algorithms which are commonly implemented in supervised classification task. Decision tree, Neural networks, Support Vector Machines (SVM), Naive Bayes, and K-Nearest Neighbor classifiers are evaluated by conducting a simulation study and then assigned to three different datasets to classify and predict the class membership of binary (2-class) and multi-class categorical dependent variables present in these datasets, these datasets were different among each other regarding their size (relatively large and small), and type of predictors (ordinal, numeric, and categorical), as well as number of classes associated with the categorical dependent variable presents in each datasets. Classification performance of these models obtained from a hold-out and 10-fold cross-validation, and empirically evaluated regarding to their overall classification accuracy. We concluded that, there are some differences between the classifiers accuracies, validated by using Hold out and 10-fold cross validation methods assigned to classify a binary categorical dependent variable presents in relatively large dataset, a (3-class) categorical dependent variable presents in relatively small dataset, and a (7-class) categorical dependent variable presents in relatively small dataset, SVM classifier gave the highest averaged rate of classification accuracy in the both methods of validation assigned to these different datasets. Therefore, we can conclude that the SVM, Neural networks, and k-Nearest Neighbor gave the highest averaged rate of classification, and 10-fold cross validation increased the classifiers accuracies. And this result is approximately matching the conducted simulation results. Key words: Data mining classification - Decision tree - Neural networks - Support Vector Machine (SVM) - Naive Bayes – k Nearest Neighbor - Hold- out validation - 10-Fold cross-validation – Bootstrapping - Confusion Matrix
Automatic extraction of geographic context from textual data

The amount of information on the internet grows exponentially. It isnot enough anymore just to have a general access to this huge amount of data,instead it is becoming a necessity to be able to use different kinds ofautomatic filters to retrieve just the information you actually want. Onesolution for the information filtering and retrieval is context analysis inwhich one of the contexts of interest is the geographic context. This paperstudies the problem and methodology of geoparsing – recognition of geographicnames in unstructured textual content for the aim of extracting geographiccontext. A prototype implementation of a geoparsing system, capable ofautomatically analyzing unstructured text, recognizing geographic informationand marking geographic names, is developed. Empirical evaluation of the systemusing articles from real-world news showed that the average quality of itsgeographic name recognition varies around 75-100%. Possible applications of thedeveloped prototype include automated grouping of any texts by their geographiccontexts (e.g., in news portals) and location-based search. Preliminary resultsof empirical evaluation showed that the average rate of its geographic namerecognition varies around 75-100%. DOI: http://dx.doi. org/10.15181/csat.v2i1. 13
A New Digital Video Watermarking Algorithm

A new digital video watermarking algorithm for TV Program stream was proposed. Through technologies of thinning image and skeleton scaling, the size of embedded data is reduced. The compressed watermark signal is embedded into the unchanged area of I frame. The experimental results demonstrate that this method can not only ensure the desirable invisibility, but also avoid the computing cost of decoding.
Sustain Released Bupropion in the Treatment of Tricotillomania: Outpatient Follow Up Survey

Objectives. Tricotillomania (TTM) is more common than expected. SSRI's are the treatment of choice in TTM. However, response rates are lower with SSRI's. The aim of our study is to explore other pharmacological interventions. Materials and Methods. Nine female TTM patients with SSRI treatment failure were included. Sample was treated with bupropion SR up to 450 mg/day. Results. Six out of nine patients responded well to bupropion SR. Massachusetts General Hospital Hair Pulling Scale (MGH) demonstrated a significant improvement at the twelve week point (f: 32.3, power: 1, lambda: 97.1, P<.0001) and the response rates remained stable at sixteen-month follow up visit. Conclusions. Bupropion SR could be an alternative pharmacological treatment for TTM. Larger samples with double blind placebo controlled design are needed to confirm our preliminary report.