Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF ADD-ON “SELF MANAGEMENT AND BEHAVIOR MODIFICATION” EDUCATION ON SEVERITY OF COPD

Background: Chronic Obstructive Pulmonary Disease (COPD) is a chronic and plenty disease and one of the important causes of morbidity and mortality in the world with restrict available medical treatments. The objective of this study was to assess whether psycho-educational plans (self management and behavior modification) administered in primary care have beneficial effects on symptoms of patients with COPD. Material and Methods: The study was a prospective, unblinded, randomized controlled trial of usual care vs. usual care plus structured education on the use of 8 sessions of “self management and behavior modification” group education: a simple educational package on life style modification and assumption of special behaviors in different situations of disease. The study was conducted in two educational hospitals (Khorshid & Alzahra) in Isfahan, Iran. Participants were 42 patients with COPD randomized into control or intervention groups. The primary outcome measure was change in severity of COPD symptoms that measured with "Clinical COPD Questionnaire" (CCQ). The data were analyzed with SPSS software and statistic examination called Ancova- Repeated measure and Mancova-Repeated measure. Results: Self management and behavior modification education were associated with significant higher decrease in mean score of CCQ in symptom, functional state and mental state domains but had no effect on change in mean score of CCQ-Total. Conclusion: Mean score of CCQ in symptom, functional state and mental state domains was lower in the intervention group but there was no difference in mean score of CCQ-Total due to “self-management and behavior modification” plans.
Epithelial insulin receptor expression–prognostic relevance in colorectal cancer

Background Metabolic reprogramming in cancer encompasses the insulin receptor (IR) as a player of energy homeostasis and proliferation. We aimed to characterize vascular (VIR) and epithelial (EIR) IR expression in CRC and correlate it with clinico-pathological parameters and survival. Methods 1580 primary CRCs were explored by immunohistochemistry for evaluation of VIR and EIR. Subgroup analyses included in situ hybridization for IR isoform A (IR-A) and DNA mismatch repair protein immunohistochemistry. Clinico-pathological and survival parameters were studied. Results High VIR was evident in 63.5% of all CRC samples and was associated with T-stage (P = 0.005). EIR was present in 72.2% and was associated with lower T-stages (P = 0.006) and UICC-stages (P < 0.001). EIR negativity was associated with increased metastasis (P = 0.028), nodal spread (P < 0.001), lymphatic invasion (P = 0.008) and a decreased tumor-specific (P = 0.011) and overall survival (P = 0.007; 95%–C.I.: 44.5–84.1). EIR negativity in UICC-stage II was associated with a significantly worse tumor-specific (P = 0.045) and overall (P = 0.043) survival. IR-A was expressed in CRC vessels and cells. Conclusions We demonstrate VIR to be frequent in CRC and characterize EIR negativity as an important prognostic risk factor. The association between EIR negativity and worse survival in UICC-stage II should be prospectively evaluated for an application in therapeutic algorithms.
Manajemen Pemasaran Online Makaroni Huhhah Yogyakarta

Semakin banyaknya pelaku usaha dalam bisnis makaroni, maka persaingan juga semakin ketat. Dibutuhkan manajemen pemasaran, kreativitas dan inovasi guna mendapatkan konsumen lebih banyak lagi. Makaroni Huhhah menggunakan media sosial instagram untuk melakukakn promosi. Penelitian ini bertujuan untuk mendiskripsikan manajemen pemasaran online melalui instagram, mulai dari perencanaan, pengorganisasian, pelaksanaan dan evaluasi oleh Macaroni Huhhah dalam meningkatkan penjualan pada tahun 2017. Jenis penelitian ini bersifat deskriptif kualitatif P engumpulan data menggunakan teknik obervasi dan wawancara mendalam untuk mencari informasi umum yang akurat tentang manajemen pemasaran melalui media online. Teknik analisis yang digunakan dalam penelitian ini adalah model interaktif models of analysis atau analisis interaktif. Keabsahan data dalam penelitian ini dilakukan dengan teknik triangulasi data. Penelitian dilaksanakan di kantor pusat manajemen Macaroni Huhhah Jogja. Hasil penelitian menunjukkan bahwa manajemen pemasaran Makaroni Huhhah secara online melalui instagram dilakukan dengan terlebih dulu membuat perencanaan lalu diimplementasikan. Agar mencapai tujuannya, manajemen pemasaran dilakukan dengan tetap melakukan pengawasan dan pengendalian terhadap kegiatan pemasaran. Perencanaan pemasaran meliputi penentuan segmen pasar, pemlihan saluran komunikasi pemasaran, penentuan tujuan pemasaran, penentuan strategi pemasaran yaitu menggunakan instagram, dan menentukan bauran pemasaran. Implementasi meliputi semua aktivitas untuk merealisasikan rencana pemasaran yang sudah disusun. Strategi pemasaran yang dilakukan yaitu dengan memanfaatkan fitur yang ada di instagram yaitu like, comment, biodata, follower, caption, hashtag, dan give away. Pengawasan dan pengendalian dilakukan dengan cara melihat like, komentar ataupun direct massage. Jika respon dirasa kurang, maka admin @makaronihuhhahjogja akan mengunggah foto produk dengan caption yang lebih menarik dan menggunakan hashtag yang relevan dan dengan jumlah hashtag yang lebih banyak.
EFFECTS OF ACUTE POSTURAL CHANGE ON MID-THIGH CROSS-SECTIONAL AREA AS MEASURED BY COMPUTED TOMOGRAPHY

Title of Document: EFFECTS OF ACUTE POSTURAL CHANGE ON MID­THIGH CROSS­SECTIONAL AREA AS MEASURED BY COMPUTED TOMOGRAPHY Linda M. Cerniglia, Master of Arts, 2005 Directed By: Associate Professor Marc A. Rogers Department of Kinesiology Fluid shifts resulting from postural change present a potential source of error when assessing the CSA of limb tissue using CT. In the present study mid­thigh axial scans of 13 older women were obtained at 5, 10, and 15 minutes of supine rest. Scans were analyzed for changes in CSA of subcutaneous fat(SF), low density muscle(LDM) and normal density muscle(NDM) tissue. A significant decrease was found in NDM CSA at 15 minutes (2.3 ± 0.8, 1.6%, P<0.05) with no change in LDM or SF CSA between any time interval The results of the current study suggest that the potential measurement error associated with fluid shifting out of the tissues can be minimized when baseline and follow­up CT­derived images of mid­thigh CSA are obtained within the first 10 minutes the subject assumes the supine position and that the CSA of NDM and LDM may be affected differently by loss of HP. EFFECTS OF ACUTE POSTURAL CHANGE ON MID­THIGH CROSS­ SECTIONAL AREA AS MEASURED BY COMPUTED TOMOGRAPHY
Complementary/Alternative Medicine Strategies for Prevention and or Cure of Breast Cancer: A Review

Madhwa HG Raj1,2*, Shubha K. Ireland3, Allal Ouhtit4, Rajiv L. Gaur5, Mohamed Abdraboh6, Biliran H3, Prakash N. Rao7, Shailaja G. Raj8 1Stanley S Scott Cancer Center, Louisiana Health Sciences Center, New Orleans, Louisiana 2Department of Obstetrics & Gynecology, Louisiana State University Health Sciences Center, New Orleans, Louisiana 3Department of Biology, Xavier University of Louisiana, New Orleans, Louisiana 4Department of Genetics, College of Medicine and Health Sciences, Sultan Qaboos University, Oman 5Department of Pathology, Stanford University, California 6Faculty of Science, University of Mansora, Egypt 7New Jersey Organ and Tissue Sharing Network, New Jersey 8Protegene Corporation, Metairie, Louisiana
Voice source dynamics in connected speech

A helical cutterhead for a wood planer for reducing noise level during planing by supressing vibration and sound radiation by having more than one knife blade engaged in the workpiece at any instant by satisfying the minimum condition of the formula L= pi D cot phi /N is less than the workpiece width and in which L is the contact distance, D is the cutterhead diameter, N is the number of knife blades, and phi is the helix angle, and in which L is less than 4 inches.
Extending Multiple Domain Matrices to Allow for the Modeling of Boolean Operators in Process Models

This paper suggests an approach to combine the analytical advantages of matrix-based notation with the modeling capabilities of graphical notation to model process flows including logic operators. Matrix-based notation is exemplified by Design Structure Matrices (DSM) and Multiple Domain Matrices (MDM), graphical notation by Event driven Process Chains (EPC), both being established standards in industry. DSM and MDM offer algorithmic methods for analyses, but so far without a means of modeling decision points (AND, OR, XOR). EPC allows easy modeling of process flows with parallel and alternative paths. However, it does not feature comprehensive analyses, making it difficult to systematically analyze a process model. In this research, MDM was therefore extended to include logical operators, thus combining the two approaches to transfer EPC and similar models into a matrix-based description and vice versa; this makes graphical model that use Boolean logic accessible to algorithmic analysis available in MDM. Generally spoken, the proposed modeling scheme opens up a way of generic modeling of logic operations in design matrices.
A Novel Method for Scene Categorization with Constraint Mechanism Based on Gaussian Statistical Model

Focusing on scene categorization,we presented a method based on Gaussian statistic model.Without feature hand-annotation for scene category,we can use unsupervised clustering and parameter estimation in Gaussian model to build corresponding probabilistic relations between scene labelling semantics and "textons" information.The experiments reveal that the proposed method performs more efficiently than other supervised ones and has the quite approximate results with complex hierarchical models.At the same time,we also studied constraint mechanism for object analysis primarily.Finally,we can draw conclusions that scene information provide efficient prior knowledge for object analysis by experiments.With constraints on possibilities of the object appearance in different scenes,object accuracy can be improved.
Building a Paraphrase Dataset for Language Learners : Paraphrase Extraction with Document Structure Model

Paraphrasing techniques, especially data-driven approaches require plenty of language resources of paraphrases to build the models. Most of traditional methods for paraphrase extraction only consider the semantic similarity of target sentences. However, in the comparable corpus, especially those consisting of parallel documents, there are some common patterns in the context of sentences, which can be used as effective identifiers. We studied the problem of paraphrase extraction from parallel documents, and proposed a Document Structure (DS) Model based scheme. This model was applied to the International Corpus Network of Asian Learners of English (ICNALE). We evaluated the performance of the proposed method, and collected a paraphrase aligned dataset from ICNALE with this method
La Triada Oscura de la Personalidad

El objetivo principal de este estudio ha sido analizar la Triada Oscura de la personalidad y las tacticas de retencion de pareja en una muestra de poblacion general. Asimismo, como objetivos especificos se plantea determinar la incidencia de los rasgos de la Triada en dicha muestra, asi como estudiar la existencia de diferencias en las tacticas de retencion de pareja utilizadas en funcion del sexo, situacion sentimental y orientacion sexual de los participantes. Se ha realizado un diseno transversal y se siguio una metodologia selectiva ex post facto. La muestra estuvo compuesta por 229 personas de edades comprendidas entre 17 y 62 anos y fue seleccionada mediante un muestreo accidental online. Para la recogida de datos se aplicaron tres cuestionarios; The Dirty Dozen (DD), Mate Retention Inventory-Short Form (MRI-SF) y Protocolo de recogida de informacion sociodemografica. Los resultados obtenidos muestran que los hombres presentan mayor TRIOPE que las mujeres, que estos aplican mayores tacticas de retencion de pareja, y que las personas que conviven con su pareja utilizan mas tacticas de retencion de pareja.
On the Use of Synopsis-based Features for Film Genre Classification

Technological advancements and the interest of companies that operate in digital environments have made the categorization of mediatic products increasingly popular. This is often a multi-label scenario, where an item may be labeled with many categories. Most of the literature approach film genre classification as a mono-label task, usually relying on audio-visual features. In this paper we explore the use of text-based features extracted from film synopses for multi-label film genre classification. We experimented with 19 feature extraction approaches combined with 4 multi-label classifiers. Our experimental results show f1-scores of up to 54.8%, which are significantly higher than other similar studies presented in the literature.
Operational Research/Management Science: Where it's been. Where it should be going?

It is argued that movement toward the 'control' aspects of management should be effected to expand OR/MS activities beyond their present (almost exclusive) emphasis on 'planning' functions. This will involve increasing the amount of empirical-inferential approaches to research (based on ex-post data) as one way to help bring this about. Examples of such empirical-inferential research activities in OR/MS are supplied by reference to the early (founding) work of PMS Blackett and others on high-level policy problems during World War II. Extensions to the control function are evidenced in the work of Robert Fetter and others in the development of Diagnostic Related Groups on which the Prospective Payment Systems are based with large and important impacts on the health care delivery systems in the USA as well as other countries. Other examples covered include the use of OR concepts in the early 'turnaround' of Federal Express from failure to success. Other new methods will nevertheless be needed to extend and improve presently available OR/MS approaches. Some of these possibilities are illustrated with Data Envelopment Analysis. Ways to combine DEA with commonly used statistical methods are described to show how new and old methods may be combined to further enhance their power and range. Similar relations of DEA to other OR/MS approaches are now being studied, some of which are presently occurring with 'fuzzy sets' and 'multiple objective programming. '
Evaluation of ERP softwares with fuzzy AHP integrated TODIM method

Since enterprise resource planning process is important for growing and developed private companies due to productivity, in the business world it has found effectively its place. ERP system softwares those are fundamental interest area of industrial engineering, have gained much importance in recent years according to doing the jobs productivity needs. In this study, a solution method is proposed for a private organization that desires to re-evaluate the distributed ERP softwares of it owns. For this, most used multi-criteria decision-making method named analytic hieararchy process is utilized for determination of criteria weights. In addition a risk involving process called TODIM (an MCDM method), which is based on prospect theory, was chosen for risky and dynamic conditions in the study. Since the Nobel prize-winning prospect theory including risk avoidance and risk taking situations in decision-making behaviors has been integrated in TODIM's decision-making process. This process involves ambiguities as well as risk. Furthermore, the company's data privacy policy has been incorporated into the solution procedure with the fuzzy logic, which takes into account these drawbacks. Besides, it has been ensured that the cost criterion is integrated in a detailed manner. In the real world application, a selection is made between the renovation of the existing system alternative consisting of the scattered and different softwares –especially stressed on built-in software that only a majority uses-; this software’s cloud alternative and a completely different rival software alternatives. The result of this study, which examines ERP software selection under uncertainties by adding risk and cost measures, has been influential on enterprise’s preferences about this project.
ViGVVaM — An Emulation Environment for a Vision Guided Virtual Walking Machine

Goal-oriented vision-based walking is a fundamental high-level problem in legged locomotion. In this article, a biologically inspired cascaded control structure to realize smooth machine walking is introduced being applicable to various types of walking machines. An innovative strategy for walking pattern synthesis for adaptive biped locomotion is presented in combination with a step sequence planning algorithm. A guidance system controls the walking process based on environment perception using stereo image processing and gaze control. In the emulation environment, a set of stereo cameras mounted on a pan-tilt-head can be moved over a prototypical scenario synchronized in a feedback loop with a simulated virtual walking machine to achieve realistic perception conditions. The behavior of the controlled virtual walking machine is visualized in an augmented reality display layed over the real image of the experimental setup taken by an external camera.
LOVASTATIN INCUBATION IMPROVES ACETYLCHOLINE-INDUCED RELAXATION IN ISOLATED AORTIC RINGS OF DIABETIC RAT

To evaluate the acute effect of lovastatin on diabetic endothelial dysfunction, we examined this effect on the aortic rings of streptozotocin-diabetic rats. The endothelial function was assessed in aortic rings isolated from diabetic rats, 12 weeks after treatment with streptozotocin (45 mg/kg, i.p.). The concentration-response curve to acetylcholine (Ach) in the aortic rings precontracted with phenylephrine (10 -6 M) was significantly diminished in diabetic groups; and maximum relaxation in control and diabetic groups were 82±1.93% and 48±2.39% respectively (a 42% decrease, P<0.001). Incubation with lovastatin (10 -5 M) for 10 min, significantly improved the Ach-induced relaxation of diabetic groups and the maximum relaxation increased to 74.2 ±3.3% (a 54% increase, P<0.001). Incubation with N G –nitro-L-arginine methyl ester hydrochloride (L-NAME; 5x10 -7 M) for 20 min eliminated a significant difference in Ach – induced relaxation responses in diabetic and control groups and also eliminated the improving effect of lovastatin in diabetic groups. On the other hand 10 min incubation with indomethacin (10 -5 M) did not eliminate the difference in Ach-induced relaxation responses in diabetic and control groups and also did not eliminate the improving effect of lovastatin in diabetic groups. Lovastatin did not modify sodium nitroprosside-induced relaxation in either diabetic or control groups and also did not induce any direct relaxation. Therefore, it is concluded that incubation of aortic rings with lovastatin significantly improves endothelium-dependent relaxation in diabetic groups by increasing the nitric oxide bioavailability, most probably due to its’ antioxidant effects.
Neural network in signal analysis of heart rate variability

In our study, we use six nonlinear indexes and two linear ones, which are Complexity, Lyapunov Exponent, Predictability, Correlation Dimension, Pioncare Scattergraph, Approximate Entropy; Time and Frequency Domains, respectively, as input parameters of neural networks, i.e. Back-Propagation (BP) networks with only one hidden layer. According to all eight indexes of the subjects given by WuHan TongJi Hospital, we not only introduce a BP network, but improve the algorithm to avoid its proper weakness as well. Neural networks are always regarded as an accurate way to analyze and study the structure of a system. The simulation results reinforce the fact that it is more effective to clinically diagnose cardiovascular diseases by combining the eight indexes with the optimized algorithm in BP networks.
Intelligent PID Controller using Modified PSO Algorithm for Ultrasonic Motor

The ultrasonic motor (USM) is an important actuator which has excellent features and several advantages over the common electromagnetic motor. However, it is hard to control USM because of no-accurate mathematical model and its dynamic characteristics. This paper presents an intelligent PID controller using modified particle swarm optimization (MPSO) for USM. MPSO algorithm is used to determine the gains of PID controller automatically according to USM’s characteristic behavior. The standard PSO (SPSO) has shortcoming, namely premature convergence and easy to fall into local optima. In the proposed MPSO, an inertia weight, one of the parameters in PSO, is decreased nonlinearly from maximum value to minimum value based on iteration to overcome the shortcoming of SPSO. The effectiveness of the proposed method is verified by numerical simulation and experimental investigation. The results demonstrate that the proposed method has shown a satisfactory performance.
Parallel Cost-Sensitive Support Vector Machine Software for Classification

c © 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above.
Effect of a Hospital-based Clinic Intervention on Glycemic Control Self-efficacy and Glycemic Control in Chinese Patients with Type 2 Diabetes Mellitus

A randomized controlled trial (RCT) design examined the effect of a hospi- tal-based clinic intervention on glycemic control self-efficacy and glycemic control in Chinese patients with type 2 diabetes mellitus. The 160 enrolled participants in this study, which was conducted at the hospital-based clinic in the teaching hospital of Xi'an Jiaotong University, were randomized into the experimental and control groups with 80 participants in each group. Three participants in the experimental group dropped out after the first class session due to a business trip or their familial reasons. The participants assigned to the experimental group received an one-month hospital-based clinic intervention, based on self-efficacy theory, using health educational strategies. The one-month intervention program met two hours per week in a class session for four weeks. Individual counseling by telephone was also provided for four months after the clinic intervention. Data were collected using the Diabetes Management Self-efficacy Scale and blood was drawn to determine HbA1c level at pre-, post- and four-month follow-up period. Data were analyzed using descriptive statistics and repeated measures ANOVA. The findings revealed that the experimental group showed statistically signifi - cant improvement in glycemic control self-efficacy immediately after intervention and at the 4-month after intervention (F = 26.888, p < .05), and the HbA1c was significantly decreased at 4-month after intervention (F = 4.317, p < .05). The study suggested that the hospital-based clinic intervention should be used to promote glycemic control self-efficacy and control blood glucose for patients with type 2 diabetes mellitus.