Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine learning concepts

• Classification: The US Postal Service (USPS) uses digit recognition, a machine learning technique, to read handwritten ZIP codes on envelopes. Many thousands or even millions of images of the digit ’0’ are provided, together with the label ’0’, and similarly for the other nine digits. These images are provided by the USPS, and someone painstakingly looks at each image and records a label for it in a file. The machine learning algorithm must identify some commonalities among all images of the same digit (these commonalities are the “pattern” in the data) so that if a previously unseen image shows up without a label, it can be automatically labeled without human intervention. The way the machine learning algorithm captures the “pattern” in practice is by computing a function that takes an image as input and produces the appropriate label as output.
A DYNAMIC POSITION BASED ROUTING PROTOCOL TO OPTIMIZE PACKET DELIVERY IN MOBILE ADHOC NETWORK

Mobile Ad hoc networks (MANET) carried out multi-hop communication in an environment with no fixed infrastructure, by means of mobile nodes and changing network topology. In the earlier period, hundreds of new routing protocols were designed for the various scenarios of MANET. Most existing ad hoc routing protocols are liable to node mobility, especially for large-scale networks. Provoked by this issue, this paper presents the new approach a Dynamic Position Based Routing (DPBR) protocol which implemented in the distributed architecture and takes advantage of the stateless property of geographic routing and the broadcast nature of wireless medium dynamically. When a data packet is sent out, some of the neighbor nodes that have eavesdropped with the transmission will serve as forwarding candidates, and take turn to forward the packet if it is not in a position to receive. By utilizing such uphill backup, this paper concentrate on how the new examine model supports to reduce the packet drop as well as increase delivery ratio dynamically. The additional latency earn by local route recovery is greatly reduced and the duplicate relaying caused by packet reroute is also decreased. Both theoretical analysis and simulation results show that DPOR achieves excellent performance even under high node mobility with acceptable overhead.
Improved insulin sensitivity, central systolic pressure and inflammatory indicators achieved with minor weight reduction in overweight and obese subjects given education on lifestyle modification

Abstract Background: Obesity is a global epidemic disease; lifestyle modification is an approach in the prevention and management of obesity. Objective: We determined the effects of education on modified lifestyle intervention on arterial stiffness, metabolic and inflammatory markers. Methods: Twenty-five generally healthy overweight and obese subjects completed nine months education on modified lifestyle intervention at Hospital Universiti Sains Malaysia, Kota Bharu. Subjects were regularly counselled to increase physical activity and modify their diet during intervention. Arterial stiffness was measured noninvasively using carotid femoral pulse wave velocity (PWV) and pulse wave analysis (PWA). Anthropometric measurements, body fat percentage and visceral fat, central and brachial blood pressures, lipid profile, the inflammatory marker high sensitivity C-reactive protein (hsCRP) and insulin sensitivity were also recorded. Results: After nine months, a significant weight loss of 2.2 kg was observed associated with significant reductions in waist and hip circumference, aortic systolic blood pressure, serum fasting insulin, insulin resistance, and hsCRP levels. Insulin sensitivity was increased, while body fat and visceral fat percentages were marginally reduced (p = 0.058 and p = 0.059). No significant differences were seen in arterial stiffness, fasting plasma glucose and lipid profile. Conclusion: Education on modified lifestyle intervention improved insulin sensitivity and resistance, reduced hsCRP and aortic systolic blood pressure despite the small weight reduction achieved.
Governed design: a new paradigm to shape finding

In this thesis we developed a modeling tool for shape finding. We explore the use of a volumetric representation of objects with behavior similar to real-world material. Using this representation, we provide physically-based effects like gravity, object collisions, freezing and melting, in order to provide a more intuitive modeling process. We also introduce Governed Design, a new paradigm for shape finding. In this paradigm, the artist sets up a scene with several constraints like symmetry, places where there has to be material and places where there should be holes. A shape satisfying the constraint is then created in a dynamic process.
A MAC Protocol for Critical Data Transmission in Wireless Sensor Networks

In this paper we present a low-power, low-latency MAC protocol adequate for critical data transmission. For support critical data packet transmission the proposed MAC protocol uses the modified IEEE 802.15. 4 beacon frames including priority bit, sender node address, and NAV value fields. A receiver node periodically wakes up, receives sender beacon frames from its neighbor nodes, selects a data sending node, and broadcasts a beacon frame containing the selected sender’s address. Based on the sender’s data transmission urgency, a receiver node selects a data packet sending node. So critical data packet will be considered higher priority packet and be sent preferentially. Our simulations and analytical analysis have shown that our protocol outperforms other protocols in terms of energy consumption and higher priority packet delivery delay.
Semantic classification, low level features and relevance feedback for content-based image retrieval

Although traditional content-based retrieval systems have been successfully employed in many multimedia applications, the need for explicit association of higher concepts to images has been a pressing demand from users. Many research works have been conducted focusing on the reduction of the semantic gap between visual features and the semantics of the image content. In this paper we present a mechanism that combines broad high level concepts and low level visual features within the framework of the QuickLook content-based image retrieval system. This system also implements a relevance feedback algorithm to learn users' intended query from positive and negative image examples. With the relevance feedback mechanism, the retrieval process can be efficiently guided toward the semantic or pictorial contents of the images by providing the system with the suitable examples. The qualitative experiments performed on a database of more than 46,000 photos downloaded from the Web show that the combination of semantic and low level features coupled with a relevance feedback algorithm, effectively improve the accuracy of the image retrieval sessions.
Comparing Technical Quality Assessment Methods for Measuring Quality of Healthcare: Systematic Review

Purpose: The present study aimed to compare advantages and disadvantages of Technical Quality (TQ) assessment methods in healthcare. Methods: A systematic review of five electronic databases; PubMed, Cochrane, Ovid, SID and Medlib, was performed without any time restriction. Search strategy included the following combination of keywords: "guideline adherence", "adherence to standard”, "adherence to protocol", "technical quality”, "clinical quality" and " quality measurement". Articles that were either quantitative or qualitative on technical quality assessment methods were eligible to be included in the study. Results: Out of the 39 included articles, 13 different TQ measurement methods, were described and categorized into eight main groups. Consumer’s reported quality data were the most frequently cited method followed by paper medical record, electronic health record, composite measure and chart review. Each method for measuring and assessing TQ of health care had its cons and pros and in choosing a method for quality measurement these features need to considered. In this section, the most important features of each method were described. Conclusion: The use of each quality assessment method depends on the aim of assessment & its result application; study design for quality assessment; study field of quality assessment and available resources such as money and time for quality assessment.
Study of the Intervention Effect of Health Qigong“ Ba Duan Jin”on T2DM

The paper tries to observe the intervention effect of health Qigong "Ba Duan Jin"on T2DM and provide experimental basis for rehabilitation. "Ba Duan Jin" exercise is used as an intervention,during which an automatic biochemical analyzer is used to analyze the changes of serum biochemical indicators at the different stages.Some 38 patients with T2DM are randomly selected under the treatment of conventional hypoglycemic of western medicine,while the treatment group is added with "Ba Duan Jin" Qigong exercise.Changes in fasting plasma glucose(FPG),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),glycosylated hemoglobin(HbAlc),total cholesterol(TC) and low density lipoprotein cholesterol(LDL-C) are observed before and after treatment.The intervention lasts for 6 months.There is statistical significance(P ≤ 0.05) in FPG,TC,HbAlc,TG and HDL-C and LDL-C between these two groups.The exercise of "Ba Duan Jin"is beneficial to patients with T2DM and early intervention can help avoid the progression and the complication of diseases.
Validating executable controller specifications through formal model checking

In many embedded control system applications, the control algorithm includes both logical and data flow portions. We apply formal methods of system verification to discrete-state algorithms. Specifically, we make use of a formal model checking tool to prove or disprove various properties of the algorithm. Questions pertaining to the achievability of states and paths and proper variable assignment are cast as logical assertions in computation tree logic (CTL), and evaluated using the model checker. In addition, we describe an approach for generating scenarios; that is, a sequence of inputs and parameters that will take a discrete-state system model through a given sequence. We present several examples illustrating various questions that the designer may wish to pose, and an appropriate CTL assertion for each.
Information Systems Freshmen Teaching: Case Experience from Day One (Pre-Version of the publication in the International Journal of Information and Operations Management Education (IJIOME))

[Introduction . ] The remainder of this paper is organized as follows: Section 2 covers background material on IS courses in general and the one at Munster in particular. Section 3 describes the design of our course in detail, while Section 4 provides a discussion of the approach both from a teacher's and from a student's perspective. Finally, Section 5 presents our conclusions as well as a brief outlook.
Sheet Metal Laser Cutting Tool Path Generation: Dealing with Overlooked Problem Aspects

This paper deals with non-trivial problem aspects of laser cutting tool path generation that, to the best of our knowledge, received relatively little attention in the scientific literature. It is shown that some aspects such as plate edge nesting, skeleton and remnant cutting, and clamp positioning can be modeled and solved with little additional effort using existing tool path algorithms. However, concepts such as collision avoidance, pre-cut optimization, and bridge utilization prove to be more challenging and will require more profound algorithmic adjustments if these have to be taken into account fully. An even harder problem aspect is generating tool paths that are thermally feasible. Since laser cutting introduces net heat into the metal sheet, the metal sheet tends to heat up as the cutting progresses. Quality deterioration can occur if the laser spends too much time cutting in the same region. It is shown how to model the easy problem extensions in order to handle them using existing problem approaches and solution approaches are suggested to tackle the harder concepts. In addition, a proof of concept is presented that shows that thermal feasible tool paths can be generated through a multi-start heuristic utilizing a thermal penalty function. A finite difference method iteratively (or concurrently dependent on the used heuristic) evaluates the thermal feasibility and updates the penalty function.
Rationale for the use of drugs in the treatment of cardiovascular disease 3. Positive inotropes

THE quest for the ideal positive inotrope has led to the development of many agents, to the extent that even a limited review of the literature can be a bewildering experience. Most of these drugs have been developed for use in human heart failure patients, but some have 'crossed over' to be used in veterinary patients. A number of recent long-term clinical studies in human heart failure patients receiving positive inotropes have produced some unexpected results which have led to many questions being posed about the rationale behind the use of such drugs. This article discusses the reasoning behind inotrope administration as well as some of the controversies in this area. The inotropes most widely used in veterinary medicine are reviewed and some guidelines are given for when these agents should be administered according to current understanding. The use of diuretics and vasodilators in the treatment of heart failure patients was discussed in earlier articles (Boswood 1996, 1998).
Personalized recommendation algorithm for user interest model based on ontology

To deal with low stability of user model and unsatisfied recommendation result existing in personalized service nowadays,ontology-based User Interest Model(UIM) was set up.Model stability was improved by update and model management was realized by establishing user group.To avoid sparse data in traditional collaborative filtering algorithm,personalized recommendation algorithm utilizing matrix clustering dimensionality-reduction decomposition was proposed.Nearest neighbors were calculated according to preferences variance,and the recommendation could be obtained subsequently.Then,the recommendation quality was improved.Finally,effectiveness of the model and algorithm was proved through a personalized movie recommendation system.
Capoeira: A Brazilian Art Form: History, Philosophy, and Practice

Make more knowledge even in less time every day. You may not always spend your time and money to go abroad and get the experience and knowledge by yourself. Reading is a good alternative to do in getting this desirable knowledge and experience. You may gain many things from experiencing directly, but of course it will spend much money. So here, by reading capoeira a brazilian art form history philosophy and practice, you can take more advantages with limited budget.
Desempenho ocupacional e estresse: aplicação de manual de orientações e cuidados a gestantes de risco

Gestation is a natural biological phenomenon, and it is considered of high-risk when there is increased danger for the health of the mother and fetus due to some maternal disease. The purpose of this work was to develop and implement a manual for guidance and care of high-risk pregnant women, identifying its influence on occupational performance and stress. This is a cross-sectional study whit follow-up evaluation before and after. The Canadian Occupational Performance Measure (COPM) and the Perceived Stress Scale (PPS-10) were used. The study sample comprised 11 inpatient high-risk pregnant women. The COPM identified 2.9 points for the Performance area and 2.7 points for the Performance satisfaction area in the first evaluation, and 4 and 4.2 points, respectively, in the second evaluation after the application of the Guidance Manual. The PPS-10 indicated 21 points in the first evaluation and 17.9 points in the revaluation. In this context, it is believed that support groups for pregnant women, establishing spaces for dialogue and listening, allow the construction of alternatives for facing the difficulties resulted from hospitalization.
Amoxicillin,the coffee acid treated first joint prednisone treatment of idiopathic thrombocytopenic purpura clinical research

Objective To research amoxicillin,caffeic acid and prednisone in the treatment of idiopathic thrombocytopenic purpura.Methods 98 cases of untreated ITP patients were randomly divided into treatment group and control group of 48 patients in the control group was given prednisone 1 mg/(d·kg),once every 8 weeks,the treatment group in addition tooral amoxicillin 1000 mg prednisone outside,for 7 days,caffeic acid tablets 0.3 g.tid. po,once every 8 weeks,andadverse reactions were observed platelet changes.Results The treatment group and control group,no significant adverse reactions.Treatment group at 2 weeks and 5weeks on enhancing the role of plateletsis stronger than the control group(P0.05). Conclusion amoxicillin,caffeic acid and prednisone in newly diagnosed ITP triple therapy is a cost-effective and safe method of treatment,especially for primary hospitals.
KAZE Feature Point with Modified-SIFT Descriptor

Abstr act. In this paper,we present a novel descriptor,called Modified-SIFT (MSIFT),which is more suitablefor KAZE feature point than other descriptors such as:SURF and SIFT.Their combining even outperformsSIFT matching algorithm and standard KAZE algorithm. We present extensive experimental image matching results on the Mikolajczyk and Schmid datasetwhich show clear advantages of our descriptor against others.
Segmentation and feature extraction of fluid-filled uterine fibroid-A knowledge-based approach

Uterine fibroids are the most common pelvic tumours in females. Ultrasound images of fibroids require image segmentation and feature extraction for analysis. This paper proposes a new method for segmenting the fluid-filled fibroid found in the uterus. It presents a fully automatic approach in which there is no need for human intervention. The method used in this paper employs a number of knowledge-based rules to locate the object and also utilises the concepts in mathematical morphology. It also extracts the necessary features of the fibroid which can be used to prepare the radiological report. The performance of this method is evaluated using area-based metrics.
A study of a Gaussian mixture model for urban land-cover mapping based on VHR remote sensing imagery

ABSTRACT This article proposes a Gaussian-mixture-model (GMM)-based method with optimal Gaussian components to address the high intra-class spectral variability in urban land-cover mapping using remote sensing images with very high resolution (VHR). GMMs can simulate and approximate any data distribution provided the optimal Gaussian components can be found. Through improving the model parameters in view of the characteristic of VHR remote sensing images, the parameter space of GMM is optimized significantly, and the model can find the optimal Gaussian components that are suitable for remote sensing images with different resolutions. Experimental results of Wuhan urban area using two images with different resolutions have demonstrated the efficiency and effectiveness of the model. The optimized GMM-based method performs at least comparably or superior to the state-of-the-art classifiers such as support vector machines (SVMs), characterizes man-made land-cover types better than conventional methods, fuses spectral and textural features of VHR image properly, and meanwhile has lower computational complexity.
Real time implementation of wavelet transform in a dual DSP56001 system

The wavelet transform has recently emerged as a powerful tool for nonstationary signal analysis. Normally, the orthogonal discrete wavelet transform is implemented in critically sampled quadrature mirror filter banks. It is demonstrated how the discrete wavelet transform can be implemented in a two DSP 56001 system. The authors use a dual DSP system and develop an algorithm code for the real time implementation of the wavelet transform. This method can also be extended to the two-dimensional wavelet transform. <<ETX>>
Toward the Integration of Peer Reviewing and Computational Linguistics Approaches

Previous research has shown the effectiveness of peer reviewing on the improvement of writing quality. However, the fact that students themselves, arguably novices, judged the improvement leads to concerns about the validity of peer reviewing. We measured writing quality before and after peer reviewing using Coh-Metrix, which computationally evaluates the linguistic properties of writings. Participants also evaluated the quality of their peer writings using the SWoRD system. Both measurements, particularly the computational measurement, confirmed the effectiveness of peer reviewing. In addition, the computational measures found that awareness of cohesion, including the clarity, explicitness, and concreteness of writing, improved over the course of peer reviewing. The results are discussed, along with their possible implications for the complementary roles of peer reviewing and computational writing measurements.
Applied Linear Statistical Models

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
Cancer treatment -related fatigue: Psychometric testing of the Cancer Treatment -Related Fatigue Representation Scale (CTRFREP) in patients undergoing radiation treatment for cancer

Concrete experiences are symptoms, signs, or functional difficulties that often lead to the realization of a problem, for example through the experience of fear or anxiety (Martin, Lemos, & Leventhal, 2001). Abstract phenomena include the symptom or illness label, and clock or calendar time (Leventhal, et al., 2004). It is through the connection of the concrete and abstract experiences, for example the symptom labeled headache felt over the course of days or weeks that may prompt one to seek identification of an illness Figure 3:
Screening for adolescent depression in paediatric care: validity of a new brief version of the Center for Epidemiological Studies Depression Scale.

BACKGROUND The study assessed the criterion validity of the 15-item version of the Center for Epidemiological Studies Depression Scale (CES-D-15) as a screening instrument in paediatric care. METHOD A total of 327 patients (13-16 years) completed the CES-D-15 and a diagnostic interview serving as gold standard diagnosis for validation. RESULTS Receiver operating characteristics yielded an overall accuracy of area under the curve (AUC) = . 90 (95% CI [.85, .95]) for the detection of any depressive disorder. At the optimal cut-off point of 14, sensitivity (.85) and specificity (.84) were good. CONCLUSIONS The CES-D-15 is a promising tool for paediatricians to enhance the recognition rate of juvenile depression.