Miracle-dz/UniFAR-FTUs huggingface dataset:
An investigation into exercise behaviour, preferences and quality of life of primary brain tumour patients

Brain tumors are the second leading cause of cancer deaths in young adults ages 20-39. According to the South African Medical Research Council, there was an estimated 801 deaths from brain cancer in South Africa in 2000. Primary and metastatic tumors are a significant cause of morbidity and mortality in cancer patients worldwide. The purpose of this study was to further the knowledge and expertise on exercise as an adjuvant therapy in brain tumor patients to improve quality of life (QoL). A sample of 14 brain tumor patients in various stages of the illness was recruited. Based on the objectives of this study, an Exercise and Quality of Life questionnaire (Fact-Br) was compiled. It contains 53 questions with high validity and good psychometric properties and efficacy to assess QoL in patients in the population. The main objective of the study was to find a correlation of QoL and physical activity. A positive correlation was evident, which indicated that physical activity would improve the QoL of the brain tumor patient. There was a statistically significant difference between patients who participated in exercise before diagnoses and those who did not in terms of perceptions of QoL (p=0.034). In the survey it showed that 59-71% patients engaged in mild to moderate exercise. There is a considerable rationale for promoting multimodal exercise interventions to improve physical capacity, vitality, and physical and mental well-being and to relieve fatigue during chemotherapy, thereby supporting cancer patients’ daily activities.
Healthcare at Your Fingertips: The Professional Ethics of Smartphone Health-Monitoring Applications

Health professionals are inundated by the surfeit of health apps while lacking guidance to help them critically evaluate whether a particular health-monitoring app is safe, likely to lead to clinical benefit, and not introduce additional liability. Our objective is not to argue for or against the use of mobile health-monitoring apps but to illuminate the associated ethical issues and provide recommendations to guide the ethical decision-making process for clinicians who are considering the use of a mobile health-monitoring app. To this end, the Canadian Code of Ethics for Psychologists is used as a framework to situate recommendations.
Role of topical heparin in the management of burns: experience in a district government hospital of Karnataka in South India

Aim: Heparin is a multifaceted compound with uses not only as an anticoagulant, but also as an anti-inflammatory, anti-allergenic, anti-histaminic, anti-serotonin, anti-proteolytic and neoangiogenic agent. The aim of the study was to study the effect of topical heparin in the management of second-degree burns. Methods: Between December 2005 and January 2007, 60 consecutive patients, aged 10-60 years, with first-and second-degree thermal injuries ranging from 10% to 60%, were randomly enrolled in the study divided into a control group (C) and a heparin group (H) of 30 patients each. Results: Patients treated with topical heparin experienced statistically significant improved pain relief, faster healing, fewer complications and shorter hospital stays. The majority of the patients admitted were in an economically productive age group and were predominantly female. The distribution between the two groups according to age, type of burns and extent of burns was not statistically different. Conclusion: The current study demonstrates the efficacy of topical heparin in the treatment of first- and second-degree burns.
Training the trainers: how to construct an educational half‐day

To reckon him who taught me this art equally dear to me as my parents. To share my substance with him and relieve his necessities if required: to regard his offspring as on the Same footing with my own brothers, and teach them this aIt if they should wish to learn it, without fee or stipulation, and that by precept, lecture and every other mode of instruction. I will impart a knowledge of the art to my own som and those of my teachers, and to disciplines bound hy a stipulation and oath, according lo thc law of medicine, but to no others. The Oath of H@pocrates
Roman Architexture: The Idea of the Monument in the Roman Imagination of the Augustan Age.

This dissertation explores the idea of the monument in the Roman imagination of the Augustan age (31 BCE – 14 CE). It examines the different ways in which three Augustan poets – Horace in his Odes, Vergil in his Aeneid, and Ovid in his Metamorphoses – imagined their works as monuments that contributed to the broader discourse of monumentality of the period. A survey of the importance of architecture to how the Romans structured the world around them conceptually will be followed in each subsequent chapter by a reading of these poems which seeks to accomplish two goals: [1] to demonstrate the very nuanced manner in which the Augustan poets fashioned their works as monumenta (“monuments”) and [2] to connect aspects of the poems’ monumentality to strategies employed by the princeps himself in his Res Gestae when discussing his reconstruction of Rome on both a literal and metaphorical level. This study will argue that by analyzing the sophisticated manner in which these poets contributed to the monumentalization of their city we can understand better the success that Augustus had in turning Rome from a city of brick to one of marble – not just in its physical landscape, but in the Roman imagination, as well. The conclusion will then look at what the Roman understanding of monumentality in the Augustan age can reveal about possible limitations of the discourse surrounding the idea of the monument today.
Endoscopic Approach Technique for Recurrent Lumbar Prolapsed Disc

Introduction: Recurrent disc after lumbar discectomy is not uncommon, with most of the patients requiring a new surgery. A greater bone decompression and scar tissue dissection become necessary with the new procedure, resulting in a higher chance of postoperative complications. Recently, many surgeons have begun to treat recurrent disc with endoscopic approaches, in order to reach the prolapsed disc avoiding tissue dissection. We present our up-to-dated experience on the treatment of recurrent disc by endoscopic technique. Material and methods: We prospectively collected 30 patients treated for recurrent lumbar disc prolapse, from May 2016 to December 2017, with an endoscopic procedure. We collected data on age, sex, location, diagnosis, leg pain by VAS, and degree of disability via the Oswestry Disability Index (ODI), and if any adverse events occurred. All patients underwent an ODI (Oswestry Disability Index) and a VAS (Visual Analogue Scale) questionnaire before the operation and after 3, 6 and 15 months [3-6] at the follow-up visit. No patients were lost at follow-up. Patients characteristics: Age at presentation ranged between 23 and 78 years with a male to female ratio of 1.5 to 1. The level treated more was L4-L5. In all cases, we performed transforaminal route access, except for two, where an interlaminar approach was necessary because of the disc fragment location. Twenty-six cases had been operated previously by microsurgical access and the remaining by an endoscopic technique. In one case the disc had recurred for a second time, requiring open revision surgery. Results: Median operative time was 52 minutes (range 44 to 79 minutes). After a median follow up of 15 months (range 15-24 months) 93% of patients were pain-free. Pain by VAS ranged from a mean value of 6.3 at admission to 1.9 at 15 months of follow-up. ODI scores went from a mean preoperative value of 59.8% to 14.6% at the same follow-up. Four patients experienced transient paresthesia along the dermatomeric distribution of the involved nerve, while 3 had an intraoperative dural tear. One patient had to undergo new revision surgery for a disc recurrence. No late adverse events occurred. Conclusions: Endoscopic discectomy might be a valuable procedure for recurrent lumbar disk prolapse treatment. Our results showed good outcomes with only a few transient complications and less postoperative pain. Also, iatrogenic mechanical instability might be avoided with this technique.
‘We're like one, big, dysfunctional family’: struggling to define the role of residential child care workers#

Understanding the complexities of working in residential child care is a difficult, and somewhat daunting, task. Research has highlighted that staff members perform a number of duties in the day-to-day lives of young people (Connelly and Milligan, 2012). Alongside these duties, staff members also have a ‘professional’ responsibility and identity in the residential unit (Smith, 2009). As a result, being both an ‘employee'and ‘parental figure’ can be a difficult role to comprehend. In the project discussed here, 13 residential child care workers were interviewed and asked to discuss their views on ‘parenting’ the young people in their care. The study found that whilst some staff members identified as a substitute or surrogate ‘parent’ to the young people, others were clear that they could not replace biological parents. Nevertheless, all staff members highlighted that their role was increasingly complex and difficult to define. Further research in this area is necessary in order to understand the impact of these findings on the residential care sector. What is increasingly clear, however, is that the role of residential child care workers is a complex and every-changing one that cannot be easily understood.
EMI prediction of packages by deep neural network

This paper presents advanced analysis and design methods such as the deep neural network (DNN) to predict the complex electromagnetic interference (EMI) radiation problems at the package level. Since the conventional analysis and design methods could not cope with the current EMI problems efficiently. The proposed DNN model can achieve good accuracy to predict EMI radiation.
Infertility-related reproductive health knowledge and help-seeking behaviour in African countries

Data from African countries indicate that men and women attribute infertility to traditional beliefs about health and disease as well as to biomedical causes, although appropriate knowledge of the latter is frequently lacking. Infertility is a dreaded condition and as a result help-seeking is often intense and persistent. Most of the help-seeking is undertaken by women and both traditional and modern biomedical health services are accessed. There are, however, many barriers to effective and affordable biomedical infertility care, many of which are related to poor resources and lack of infrastructure, and as a result the need for infertility treatment is often unmet. Advances in the quality of care require greater commitment to the problem of infertility in African countries, the provision of health education as an integral part of infertility management, the integration of infertility services into reproductive health care programmes and defining the role of assisted reproductive technologies in low resource settings. At the same time the importance of traditional health services in infertility management should be recognized.
Analisis Data Mining Penjualan Ban Menggunakan Algoritma C4.5

Penelitian ini bertujuan untuk mengoptimalisasi transaksi penjualan ban. Optimasi ini akan mempengaruhi penentuan persediaan ban di gudang. Metode yang digunakan dalam penelitian ini adalah C4.5. Data yang diolah adalah data transaksi penjualan ban pada CV. Roda Inti Mas. Hasil yang didapatkan pada penelitian ini adalah dapat mengatur jumlah persediaan dengan baik, sehingga tidak terjadi kekurang atau kelebihan stok. Sehingga penelitian ini sangat membantu dalam pengaturan optimalisasi transaksi ban.
Artificial Neural Network based Classification of Neurodegenerative Diseases

Neurodegenerative disease occurs due to deterioration of cells specially the myelin sheath of the neurons; of brain, spinal cord, and peripheral nerves. The economic and social burden of neurodegenerative diseases is massive and rising too rapidly. Among several of different neurodegenerative disorders, present work is focused on the three most common; Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. Although the most consistent risk factor for developing a neurodegenerative disorders is increasing age, it has been observed that the symptoms of all the three diseases overlap with each other, clinically and pathologically. Therefore, their practical classification is quite challenging and thus needing an automated tool to classify them. In the present model, backpropagation artificial neural network (ANN) has been designed to classify neurodegenerative disorders according to their symptoms. The 27:70:3 architecture of ANN has been used to predict the clinical outcome from the complex overlapped symptoms that are routinely available to clinicians. The model has found to be effective in differentiating the different types of focused diseases with an overall performance of 96.42%.
The priming role of dendritic cells on the cancer cytotoxic effects of cytokine-induced killer cells

Introduction: In vitro cultivation of DCs and cytokine-induced killer cells (CIK cells) - a special phenotype of T lymphocyte populations — for cancer treatment has gained significant research interest. The goal of this study is to understand whether the priming from DCs helps CIK cells to exert their toxic function and kill the cancer cells. Methods: In this research, DCs were differentiated from mononuclear cells in culture medium supplemented with Granulocyte-macrophage colony-stimulating factor (GM-CSF), and Interleukin-4 (IL-4), and were induced to mature with cancer cell antigens. Umbilical cord blood mononuclear cells were induced into CIK cells by Interferon-γ (IFN-γ), anti-CD3 antibody and IL-2. After 4-day exposure (with DC:CIK = 1:10), DCs and CIK cells interacted with each other. Results: Indeed, DCs interacted with and secreted cytokines that stimulated CIK cells to proliferate up to 133.7%. In addition, DC-CIK co-culture also stimulated strong expression of IFN-γ. The analysis of flow cytometry data indicated that DC-CIK co-culture highly expressed Granzyme B (70.47% ± 1.53, 4 times higher than MNCs, twice higher than CIK cells) and CD3+CD56+ markers (13.27% ± 2.73, 13 times higher than MNCs, twice higher than CIK cells). Particularly, DC-CIK co-culture had the most specific lethal effects on cancer cells after 72 hours. Conclusion: In conclusion, co-culture of DCs and CIK cells is capable of increasing the expression of CIK-specific characteristics and CIK toxicity on cancer cells.
A Data Mining Based Approach to Customer Behaviour in an Electronic Settings

The understanding of customer incidents and behaviour is crucial to the success of any organization. Evidence from literature shows a prediction pattern of products to customer. These studies predicted product characteristics leaving out the customers characteristics. To address this gap, this study aims to design datamining system and implement it on an electronic commerce organization website. The customer information and history (clickstreams) from the electronic commerce website was used to predict the customers’ behaviour. This will give meaningful and usable data patterns to organizations. Python programming language was used to design the datamining system, while PHP, HTML, and JavaScript were used for the e-commerce website. A brief description of the background of e-commerce and data mining, previous work of researchers who have worked on data mining in e-commerce settings, was reviewed and the relationship between their findings and this work was established. The data mining system utilizes consensus clustering technique and the clustering algorithm with a graphical-based approach. Furthermore, the interaction between the data mining system and the customer’s dataset on an ecommerce website was defined. Quantitative evidence for determining the number and membership of possible customer behavioural clusters within the dataset was generated.
Effects of Horizon and Overlapping Data on Linear Regression

Author(s): Xia, Tianyi | Advisor(s): Li, Jingyi | Abstract: Market risk models often deal with risk measurement and modeling in a specific capitalhorizon, while model developers have to select an estimation horizon for the parameterestimation. The use of overlapping data may be a solution for the trade-off between bettersignal-to-noise ratio and the lower number of observations in the long-horizon data. We focuson the beta estimate in one-factor linear regression model. Three data generating process areconsidered in simulation: (1) independent identically distributed (iid) model, (2) generalizedautoregressive conditional heteroskedasticity model, (3) decomposition of stock price into arandom walk and stationary components. If the daily data perfectly satisfy a linear modelwith iid error, estimate using daily data may be better than estimate using long-horizonoverlapping data. For the general linear regression model, generalized least squares withlonger horizon may produce better results since it takes into account the serial correlationin overlapping data.
Mobile mapping system performance - an analysis of the effect of laser scanner configuration and vehicle velocity on scan profiles

When a laser scanner is mounted on a moving platform and combined with a GNSS receiver and inertial navigation system, it is capable of producing millions of geo-referenced points which can then be used to create near-3D models. The development of processing algorithms for these point clouds has largely been the focus of the research community to date. However, given an arbitrary known static object positioned at a specific distance away from a mobile mapping system (MMS) the resolution of the resulting point cloud that will describe that object is unknown. This is the underlying limit of point cloud processing algorithms. We are in the process of developing a method for determining the quantitative resolution of point clouds collected by a MMS with respect to known objects at specified distances. Our previous work has demonstrated our initial investigations into the effect that a scanner position, configuration and operating speed has on scan lines - both in profile spacing and scan line orientation at varying vehicle speeds. This paper focuses on the combined effect on profiles of both vertical and horizontal rotations of the scanner, explores in greater detail the effect on scan line orientation caused by vehicle motion and also incorporates point spacing as a function of range into our model. As with our previous work, we will develop a system to calculate this information and then verify our equations and analysis by comparing our simulated data to the point cloud data collected by our XP-1 mobile mapping system.
The utilization of dietary energy by steers during periods of restricted food intake and subsequent realimentation

SUMMARY An investigation was carried out to determine the daily energy intakes necessary to maintain, the live weights of ‘maintenance-stabilized’ steers (i.e. those held at constant live weight in pens for not less than 15 weeks) when walked at 5 km/h for distances of 5, 10 and 15 km/day. The experiment utilized groups of Boran Zebu and Hereford × Boran Zebu steers at live weights of 275 and 450 kg. Fed a standard diet of energy concentration 10·477 MJ metabolizable energy (ME)/kg D.M. it was found that the Hereford × Boran steers required significantly less food per day, at both live weights, than did the Borans to maintain live weight when walking distances of 15 km/day. Based on the data relating to the total distance walked of 1120 km in 133 days it was calculated that the additional energy cost of maintaining live weight when walking was close to 4·184 kJ ME/kg/km walked. The efficiency of conversion of ME for walking was 50%. For ‘maintenance-stabilized’ steers it was calculated that the 275 kg steers required 24, 49 and 73% more daily D.M. intake and the 450 kg steers 34, 69 and 97% more daily D.M. intake when walked 5, 10 and 15 km/day respectively than would have been the case if they had been kept inactive in pens.
New normalized LMS adaptive filter with a variable regularization factor

: A new normalized least mean square (NLMS) adaptive ﬁ lter is ﬁ rst derived from a cost function, which incorporates the conventional one of the NLMS with a minimum-disturbance (MD) constraint. A variable regularization factor (RF) is then employed to control the contribution made by the MD constraint in the cost function. Analysis results show that the RF can be taken as a combination of the step size and regularization parameter in the conventional NLMS. This implies that these parameters can be jointly controlled by simply tuning the RF as the proposed algo-rithm does. It also demonstrates that the RF can accelerate the convergence rate of the proposed algorithm and its optimal value can be obtained by minimizing the squared noise-free posteriori error. A method for automatically determining the value of the RF is also presented, which is free of any prior knowledge of the noise. While simulation results verify the analytical ones, it is also illustrated that the performance of the proposed algorithm is superior to the state-of-art ones in both the steady-state misalignment and the convergence rate. A novel algorithm is proposed to solve some problems. Simulation results show the effectiveness of the proposed algorithm.
SHOCK SYNDROME PRODUCED BY FAILURE OF THE HEART

Two clearcut types of circulatory failure have emerged from the experimental and clinical studies of the cardiovascular system. The first, congestive heart failure, is the result of the inability of the heart to pump blood because of mechanical defects or disease of the heart muscle. It is characterized clinically by dyspnea, edema, prolonged circulation time, increased venous pressure and an increase in blood volume. Congestion may be present in the pulmonary circuit and absent in the systemic circulation. The second type, circulatory collapse, or shock, is the result of a diminished venous return to the heart. It is characterized clinically by the signs of a marked decrease in cardiac output and tissue anoxia, namely, pallor, cold extremities, sweating, weak pulse, low arterial blood pressure, narrowing of the field of consciousness and a normal or decreased venous pressure. The clinical pictures of congestive failure and of shock are so different that
Collaborative governance in the sharing economy. A case of free-floating bicycle sharing with visualized analyzation

A business model of sharing economy has rapidly developed. It is predicted to profoundly influent the society. However, because imperfect management might ruin its operation and future growth, the sharing economy model is rife with conflicts and paradox in terms of logic, boundary, and influence. Taking the Free-floating bicycle sharing (FFBS) as an example, although it is becoming more and more popular in many big cities, the service has led to many problems, including road congestion, parking disorder, and mismanagement of bicycle information. As a result, its sustainable development is severely affected. In this study, we used FFBS as a case study to investigate the relations among government, companies and users. We interviewed varies stakeholders and discussed their different perspectives of collaborative governance. It showed that the parking location, usage frequency, number of parked bicycles, and bicycle health status could be used as indicators to monitor the service situations. We also identified that the wanton occupancy of public space was the major problem of FFBS. To address these issues, we developed a real-time information management platform with information visualization, aimed to help the government, the company, and the users to gather the bicycle information and coordinate their sharing usage. This platform could promote the sustainability of FFBS system and foster the development of other forms of sharing economy in the future.