Miracle-dz/UniFAR-FTUs huggingface dataset:
CLINICOPATHOLOGICAL DIFFERENCES OF NODAL PTCL WITH TFH PHENOTYPE FROM AITL AND PTCL, NOS, AND DETECTION OF PROGNOSTIC MARKER OF NODAL PTCL WITH TFH PHENOTYPE

CLINICOPATHOLOGICAL DIFFERENCES OF NODAL PTCL WITH TFH PHENOTYPE FROM AITL AND PTCL, NOS, AND DETECTION OF PROGNOSTIC MARKER OF NODAL PTCL WITH TFH PHENOTYPE T. Suzuki | H. Miyoshi | E. Yanagida | K. Kawamoto | K. Yamada | M. Takeuchi | K. Ohshima Pathology, Kurume University, School of Medicine, Kurume, Japan; Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata, Japan
Ghost in the PLC: stealth on-the-fly manipulation of programmable logic controllers’ I/O

Programmable Logic Controllers (PLCs) are a family of embedded devices used for physical process control. Similar to other embedded devices, PLCs are vulnerable to cyber attacks. Because they are used to control the physical processes of critical infrastructures, compromised PLCs constitute a significant security and safety risk. In this paper, we investigate attacks against PLCs by introducing a specific type of attack against a PLC that allows the adversary to stealthily manipulate the physical process it controls by tampering with the device I/O at a low level. We implemented two variant of the attack in the form of a rootkit and a user-space malicious code over a candidate PLC. However in this technical edition we do not include the design information of the rootkit or the user-space malicious software. Our study is meant to be used as a basis for the design of more robust detection techniques specifically tailored for PLCs.
The Role of Endothelial Microparticle in Coronary Heart Disease as The Complications of Diabetes Mellitus

Coronary heart disease (CHD) is caused by obstruction of coronary blood flow due to endothelial dysfunction triggered by various genetic and non-genetic risk factors such as hyperlipidemia, hypertension, hyperglycemia and obesity. Endothelial cell activation due to hyperglycaemia in diabetes mellitus induces production of pro-inflammatory factors that damage the cell membrane triggering the formation of membrane particles called microparticles. Endothe-lial microparticles contain proteins including endothelial nitric oxide synthase (eNOS) which plays a role in the production of nitric oxide (NO). To determine the role of microparticles in the occurrence of coro-nary heart disease in diabetes mellitus due to endothelial dysfunction, a study was conducted by comparing the levels of eNOS and NO in DM patients who had CHD with DM patients who had no CHD. Blood samples from 20 DM patients who had CHD and 20 DM patients who had no CHD of the outpatients in Cardiology Department and Inter-nal Medicine department of regional public hospital were included in this study. All patients were fulfilled inclusion and exclusion criteria and diagnosed by the appropriate specialist. The eNOS and NO lev-els were measured using the ELISA method. The results of this study show that eNOS levels in the group of DM patients who had CHD (21,292±12,415 ng/ml) were significantly lower (p <0.05) than those in the group of DM patients who had no CHD (29,721±11,952 ng/ml). Nitric oxide levels in DM patients who had CHD (0,053±0,021 nmol/ μl) were not statistically different to the levels in DM patients who had no CHD (0,047±0,032 nmol/μl). From the results of this study we concluded that endothelial microparticle protein eNOS plays a role in the occurrence of CHD due to the complications of diabetes mellitus
Strategy Development for Learning through On-line Social Networks

Learning in the electronic age requires the use of various strategies by students to self-monitor their own involvement and interactive process in achieving learning tasks. Web-based environment promotes knowledge-building in the social network and increases the flexibility of the time and space for learning. Within a web-based settings, providing students with self-directed learning tasks and analyzing students’ learning characteristics, specifically their collaborate strategies, are critical to the outcomes of learning. In this study, a web-based elected course, media services (for library) at the department of Library & Information Science, Fu-Jen University, was used as a case for study students’ use of strategies. A set of questionnaire items in “Strategies Assessment of Web-based Project Task” (SAWPT) was developed and tested. Several issues were explored: (1) What were the strategies used by students in group online projects; (2) What were the constructs in SAWPT for assessing students’ social learning strategies in achieving the project objective; (3) Were there any difference in strategy use in different interactive groups, and (4) What were students’ reflections corresponding to the SAWPT.
Bcl-2 oncoprotein expression in breast cancer, its relation to estrogen and progesterone receptors and other prognostic factors

Aims of the study: To evaluate the expression of the Bcl-2 oncoprotein in patients with primary breast cancer, to correlate it with estrogen and progesterone receptors and various prognostic parameters. Patients and methods: Fifty two cases of primary breast cancer in which the estrogen and progesterone receptors statuses were previously tested by immuno-histochemical staining, were included in this retrospective study. The cases were collected from AlJamhori Teaching Hospital, Nineveh Private Hospital and Private laboratories. The expression of Bcl-2 oncoprotein was evaluated immunohistochemically; the findings were correlated with the estrogen and progesterone receptors, the age of the patients, size, type and grade of the tumor, lymph node status and vascular invasion. Results: Bcl-2 oncoprotein was detected in 24 cases of primary breast cancer (46.2%). In this study the majority of estrogen and progesterone receptors positive cases, (87.5%) and (83.3%) respectively, showed positive Bcl-2 oncoprotein expression, (P<0.001) and (P=0.0002) respectively. A significant association was found between Bcl-2 and tumor type (P=0.017). Bcl-2 oncoprotein was directly correlated with the age of the patients (P=0.0047), and inversely with the grade of the tumor and vascular invasion (P value = 0.0092, <0.001) respectively. No significant correlation with tumor size nor with lymph node status could be found, (P=0.078) and (P=0.19) respectively. Conclusions: Bcl-2 oncoprotein was positive in 46.2% of primary breast cancer. This study revealed a significantly direct correlation between the Bcl-2 and the estrogen and progesterone receptors. A significant association was found between Bcl-2 oncoprotein and tumor type. Bcl-2 was directly related to the age of the patients, and inversely related to the grade of the tumor and vascular invasion.
Association between functional balance and knee extensors strength in people with Parkinson’s disease

Aims: The aim of this study is to verify if there is a correlation between functional balance and muscular strength of knee extensors in individuals with Parkinson’s disease.Methods: The sample consisted of 28 volunteers with Parkinson’s disease (age: 65.43±8.48 years, height: 1.68±0.10 cm, weight: 71.50±13.27 kg) classified on the modified Hoehn & Yahr scale. The Four Step Square Test and the isokinetic dynamometer were used to evaluate the dynamic balance and muscular strength of knee extensors, respectively.Results: The peak torque shows a moderate, negative and significant correlation with the Four Step Square Test (right knee: r=-0.471 and p=0.012; left knee: r=-0.444 and p=0.018). Conclusions: There is a negative, moderate and significant association between muscular strength of knee extensors and dynamic balance in Parkinson’s disease individuals.
Scalable online simulation for modeling grid dynamics

Large-scale grids and other federations of distributed resources that aggregate and share resources over wide-area networks present major new challenges because they couple the behavior of resources and networks. These infrastructures support a new breed of applications which interact dynamically with their resource environment, making it critical to understand dynamic application and resource behavior to design for performance, stability, and reliability. Coupled use means that accurate study of dynamic applications, middleware, resource, and network behavior depends on coordinated, accurate, and simultaneous simulation of all four of these elements. Thus, the long-term challenge is to support scalable, high-fidelity, online simulation of applications, middleware, resources, and networks to support enable scientific and systematic study of grid applications and environments. That challenge is the focus of this dissertation. We define the problems in performing large-scale, high-fidelity, online simulation. We consider a number of approaches, and then present our approach in detail. Our approach includes a set of techniques which enable the use of real application and middleware software, and modeling of essentially arbitrary network and resource properties. These techniques include resource virtualization via application interception, computation resource simulation based on soft real-time scheduling, and packet-level online network simulation. Our studies and experiments show that these techniques can support simulation experiments with complex software packages as well as resource and network structures. While most of the techniques in our approach are inherently scalable, one major challenge is online network simulation—which we implement as a parallel distributed discrete-event simulation, well-known to be challenging to scale. A range of techniques for scaling our online network are studied. Exploiting advanced graph partitioners, we explore a range of edge and node weighting schemes based on a variety of static network and dynamic application information. While simple approaches do not achieve acceptable load balance, our studies show that detailed network structure and behavior can be combined with the graph partitioners to achieve both good load balance and parallel efficiency. For example, our improvements increase efficiency and scalability by over 100 times, achieving a parallel efficiency of over 40% on 90-node clusters for a range of experiments. Our online simulation techniques are embedded in a working simulation tool, the MicroGrid, which enables accurate and comprehensive study of the dynamic interaction of applications, middleware, resource, and networks. (Abstract shortened by UMI.)
Picking Tools for Distance Learning: A View from the Trenches

In this study of students in an online graduate program in educational technology, a Web-based survey was used to collect information about attitudes on and satisfaction with distance learning after they had completed multiple courses. Students who have taken more courses are more satisfied overall and have developed specific preferences for tools that allow multiple forms of interaction. Results are detailed and recommendations developed from their responses. In particular, the students indicated the importance of having a mix of synchronous and asynchronous tools that allow both opportunities to individually pursue content and the capability to build community with others in their classes.
Towards a Code Synchronization Mechanism Analysis and Design

This paper presents the first steps of an endeavor for defining and applying equalization among code artifacts. This equalization process is defined as code synchronization. First, meaning of the code synchronization has been explained, and also the constraints on the synchronization as a process have been analyzed. On the following, four major necessary abilities for realizing a code synchronization mechanism have been identified. Two of the four abilities that are identified as necessary for creation and application of the previously defined synchronization process have been discussed. Lastly conclusions from these discussions have been underlined. Index Terms — Code Synchronization, Software Evolution, Automated Software Engineering, Change Extraction
Effects of Trypanosoma brucei and Heligmosomoides bakeri infections on water consumption of lactating albino mice and the viability of their pre-weaned offspring

The effects of single and/or concurrent H. bakeri and T. brucei infections on water consumption of lactating and non-lactating mice were investigated. Pregnant mice were grouped into four (A, B, C and D) comprising of six animals per group. Groups A, B and C were either infected with H. bakeri or T. brucei alone or with both parasites together. Group D served as pregnant uninfected control while a different group (E) was used as non-pregnant and uninfected control. Packed cell volumes (PCV), faecal egg counts (FEC), worm burden and water consumption of the mice were determined. Mean live-weights of surviving offspring and their numbers were recorded. Infected animals had lower PCV compared to the controls. However, lactating mice infected with both parasites had the least PCV. Mortalities occurred in the dualinfected groups. Worm burden and FEC of mice with concurrent infections were significantly higher than that of the H. bakeri -only infected mice. Lactating mice consumed significantly more water than non-lactating mice . Uninfected and H. bakeri- only infected mice had heavier, healthy-looking and greater numbers of pups than their conjointly-infected counterparts that had fewer wrinkled-bodied pups with more early-mortalities following parturition. Drawing from these results, it is therefore necessary to promptly control diseases in pregnant and lactating animals and provide water adlibitum to lactating animals. Keywords : Water consumption, Lactating mice, Trypanosoma brucei , Heligmosomoides bakeri, concurrent infection
Addressing Uncertainty in Implicit Preferences A Case-Study in TV Program Recommendations

The increasing amount of content available via digital television has made TV program recommenders valuable tools. In order to provide personalized recommendations, recommender systems need to collect information about user preferences. Since users are reluctant to invest much time in explicitly expressing their interests, preferences often need to be implicitly inferred through data gathered by monitoring user behavior. Which is, alas, less reliable. This article addresses the problem of learning TV preferences based on tracking the programs users have watched, whilst dealing with the varying degrees of reliability in such information. Three approaches to the problem are discussed: use all information equally; weight information by its reliability or simply discard the most unreliable information. Experimental results for these three approaches are presented and compared using a content-based filtering recommender built on a Na¨ove Bayes classifier.
Automatic Theme Extraction for Marine Data Marts Using Semantic Web

Due to multi-source, polymorphism and diversity of marine data, making use of existing technology to establish the marine data mart has become a serious problem. In addition, how to automatically and fast create data mart with few users’ requirements and little background knowledge about marine has been paid much attention. This paper proposes a novel method to extract theme for marine data marts based on semantic web. Firstly, we obtain the similarities between field names in the marine data warehouses; then, utilize the spectral clustering algorithm to partition field names and obtain field clusters to extract themes. The proposed method can provide the basis for automatic extraction of themes, so as to assist users to fast create data marts.
Clinical profile and its relation to spirometry and 2D ECHO in COPD patients

Background: Present study was done with an aim to study the clinical profile and its relation to spirometry and 2D ECHO in COPD patients. Methodology: Sixty COPD patients with anonymous rigorousness attending department of respiratory medicine, G.K. General Hospital Bhuj, were incorporated in the study from 2017 onward. The patients were subjected to spirometry and classified according to GOLD guidelines. Whole history concerning the symptoms, past history, smoking history, occupational history and other linked illnesses were taken and noted in a proforma. Echocardiographic assessments of right ventricular and left ventricular function were done. Results: COPD was more common in males (88.33%) as compared to females (11.66%) because of smoking prevalence high in male patients. COPD patients were having most common chest x-ray finding of Emphysema (75%), followed by increase bronchovascular markings (28.33%), cardiomegaly (6.66%), consolidation or mass (3.33%), calcification (3.33%), reticular pattern (3.33%) and bronchiectasis (3.33%). COPD patient were had mainly common ECG finding of normal (50%), p- pulmonale in (40%), right ventricular hypertrophy in (25%), right axis deviation in (18.33%), RBBB in (6.66%) and AF in (3.33%). Conclusions: Severity of COPD has straight relation connection with occurrence of ECG changes in COPD. In the present study 50% of the patients had normal ECG. LV diastolic dysfunction was present in 38.33% of the patients. As the severity increases, frequency of LV diastolic dysfunction on 2 D and Doppler echocardiography goes on escalating. Keywords: Chronic obstructive pulmonary diseases; Smoking; Spirometry.
B-ISDN and the evolution of MAN

Evolutionary scenarios for metropolitan area networks (MANs) are described. They are compatible with, and complementary to, to the early expected forms of the broadband integrated services digital network (B-ISDN) and the third generation of local area networks (LANs). All use the asynchronous transfer mode (ATM) of operation. In this context, the MAN is seen as a distributor/concentrator switch operating on customer premises and in the periphery of the B-ISDN. <<ETX>>
Effectiveness of positive thinking training on anxiety, depression and quality of life of mothers of children with leukemia

Context: Leukemia is the most common pediatric cancer. Diagnosis and treatment of childhood cancer may have adverse psychological effects on children and their families. Aim: We examined the effectiveness of positive thinking education on anxiety, depression, and quality of life of mothers of children with leukemia. Settings and Design: This randomized control trial has been conducted during August-September 2017, on 30 mothers of children with leukemia who randomly allocated into two groups using 30 random numbers produced by computer software and assigned to intervention (n = 15) and control (n = 15) groups. Materials and Methods: Data collection tools included depression, anxiety, stress scale-21, and MOS 36-Item Short-Form Health Survey quality of life questionnaire. Statistical Analysis Used: The normality of data distribution examined using the Kolmogorov–Smirnov test. Then, data were analyzed using descriptive methods (mean, frequency, and percentage), Chi-square, and independent t-test. Results: There were no statistically significant differences between the study groups in depression, anxiety, and quality of life variable at baseline (P > 0.05). However after the intervention, results showed significant differences between the study groups in all the three variables in posttest compared to the pretest. The mean scores of depression and anxiety respected, in the intervention group were significantly lower than the control group (P < 0.001) and (P < 0.004). Furthermore, significant differences were found between the study groups in quality of life score (P < 0.05). Conclusion: Positive thinking training reduced anxiety and depression and increased the quality of life of mothers of children with leukemia.
A comparative study of web based and IR based question answering systems

With the enormous growth of Web, users are able to find the information of his interest. Asking a question, a search engine returns a list of results in form of Web pages containing the required information. Then, the user needs to move through the result pages to find the answer. On the other hand, a Question answering system provides a set of answers to the user for his question i.e. when the user submits his question to a QA system, as the response he receives a precise answer or a set of answers that satisfies his request. The paper is a review of Web based and IR based QA systems.
A new throughput analysis of a novel MAC protocol for CDMA-based wireless LANs

A new analysis of throughput for a novel slotted CDMA-based medium-access-controI protocol, with a channel-load sensing feature, for wireless LANs is presented. Numerical results are shown of throughput versus offered-load, and show that the proposed protocol offers considerable throughput improvement when compared with ALOHA DS/SSMA ('random-access' CDMA).
Perancangan Sistem Pendeteksi Iregularitas Interval R-R Pada Sinyal Elektrokardiogram (Ekg) Sebagai Indikator Penyakit Kardiovaskular

Jantung merupakan salah satu organ yang paling penting di tubuh manusia. Keabnormalan jantung dapat berimbas pada penyakit-penyakit organ tubuh lainnya. Salah satu keabnormalan jantung adalah timbulnya fibrilasi atrium (FA). Gejala FA dapat dianalisis dari gambaran elektrokardiogram (EKG) pasien, salah satunya dari iregularitas interval R-R pada EKG. Rancangan sistem untuk menghitung interval R-R telah banyak diteliti. Namun demikian, kebanyakan sistem dirancang pada domain digital yang, meskipun memiliki performa yang baik, memerlukan cost yang cukup tinggi dibandingkan dengan pengolahan sinyal pada domain analog. Karena itu, pada penelitian ini akan dirancang sistem penndeteksi iregularitas interval R-R pada EKG yang relatif sederhana sehingga mayoritas fungsional sistem dapat diimplementasikan pada domain analog. Hal ini akan mengurangi cost dari sistem seraya mempertahankan performa sistem yang relatif baik. Sistem yang dirancang akan dibagi menjadi tiga fase: pendeteksi kompleks QRS, penghitung interval R-R, dan pendeteksi iregularitas pada interval R-R. Pengujian akan dilakukan pada tiap fase sehingga penyebab kekurangan performa dapat dilokalisasi ke satu atau dua sistem secara akurat. Performa sistem pendeteksi sinyal R adalah 96,77% sedangkan performa dari sinyal pendeteksi iregularitas interval R-R adalah 84%. Kata Kunci : Elektrokardiogram, interval R-R, pengolahan sinyal biomedis.
Acoustic Signal Classification from Monaural Recordings

Acoustic domain contains signals related to sound. Speech and music though are included in this domain, both the signals differ with various features. Features used for speech separation does not provide sufficient cue for music separation. This paper covers musical sound separation for monaural recordings. A system is proposed to classify singing voice and music from monaural recordings. For classification, time and frequency domain features along with Mel Frequency Cepstral Coefficients (MFCC) applied to input signal. Information carried by these signals permit to establish results Quantitative experimental results shows that the system performs the separation task successfully in monaural environment.