Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-strategy Approach For MiningMultimedia Data Repositories

This paper introduces a multi-strategy learning environment, consisting of a number of heterogeneous classifiers and cluster analysis techniques, used for the mining of so-called integral data records containing 3-D objects, together with a large number of relational attributes. In this multi-strategy learning approach, the two data types are mined together, thus focusing on the interrelationships between them and utilizing their unique characteristics in a synergic way. Experimental results, when applying this approach to an anthropometric database, which contains 3-D human body scans together with (relational) demographic and anthropometric attributes, show promising results. Through the use of cluster analysis and information fusion, a streamlined grouping of human subjects, based on clothing size, was obtained. In addition, the demographic data of each cluster was explored by means of a classifier in order to obtain new insights into the population.
Contribution of Cell Block Obtained by Thoracentesis in the Diagnosis of Malignant Pleural Effusion

Aim: The aim of this study wass to compare the cytological features of pleural exudative fluids by conventional smear (CS) method and cell block (CB) method and also to assess the utility of the combined approach for cytodiagnosis of these effusions. Materials and Methods: In all, 113 pleural exudative fluid samples were subjected to evaluation by both CS and CB methods over a period of 2 years. Cellularity, architecture patterns, morphological features, and yield for malignancy were compared, using the two methods. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for diagnosis of malignancy were calculated for both the methods, using histology as a gold standard. Results: CB method provided higher cellularity, better architectural patterns, and additional yield for malignancy when compared with CS method. For 22 (40%) patients, histologic subtype was determined with CB especially for adenocarcinoma. The sensitivity, specificity, positive, and negative predictive values of cytology and CB were 48%, 100%, 100%, 67.8% and 59.2%, 100%, 100%, 72.8%, respectively. Conclusion: CB technique definitively increased detection of malignancy in pleural fluid effusion when used as an adjunct to CSs. Also, CB provides material suitable for molecular genetic analysis for targeted therapies especially in the treatment of adenocarcinoma.
Diabetes Management for Low-Income Patients: Within-Case Analyses in Primary Care

The study evaluated the effectiveness of a diabetes management program in a co-located mental health and primary care setting in Nashua, New Hampshire. The patient-participants were primarily underserved, low-income, working-class or homeless patients from the surrounding region. A few participants were also older adults. Examination of the literature highlighted the growing diabetes epidemic at local, state, and national levels. A review of past clinical trials of diabetes programs indicated further investigation into diabetes self-management education programs that integrate medical and behavioral health components under the biopsychosocial model. Thus, for the present study, the Stanford Diabetes Self-Management Program (SDSMP; Lorig, Ritter, Villa, & Armas, 2009), was utilized as the cornerstone for building a comprehensive program for the population of the treatment site. SDSMP is a semi-scripted sixweek peer-led psychoeducation course designed to enhance self-efficacy in the self-management of diabetes. The course meets the American Association of Diabetes Education Standards and teaches skills and knowledge around proper diet, exercise, lifestyle, and treatment adherence. Archived quantitative data from participant medical records (N = 12) were analyzed at the individual case level to verify whether the program was effective at increasing use of self-care practices and management of symptoms in individual diabetes patients. In addition, qualitative analysis of participant follow-up interviews (n = 4) depicted how and why individual changes may have occurred within each case. Some of these themes included Positive Changes, Social Influences, and Workshop Feedback. Quantitative results found that depression and anxiety scores decreased modestly for the group as a whole to a similar degree as shown by previous studies (Lorig et al., 2009, 2016). One patient’s depression score showed a clinically significant decrease. The group achieved similar results in their diabetes knowledge and adherence to diet POVERTY AND DIABETES MANAGEMENT 2 and physical activity recommendations compared to regional norms for the SDSMP (New England Quality Innovation Network–Quality Improvement Organizations, 2016). Two patients also improved medically in their BMI and HbA1c% scores after attending the program. These results implied that the SDSMP may be an appropriate fit for the site’s population.
Web services for forest data, analysis and monitoring: developments from EuroGEOSS

Forests play a crucial role in timber production, maintenance and development of biodiversity and in carbon sequestration and storage. However, the reliable information on forest extent, type and change, which is so important to policy makers and managers, is frequently inconsistent, incomplete and out of sync between countries and continents. In this article, we describe components developed in line with the GEOSS and INSPIRE frameworks, which access and use distributed forest information at different spatial scales, and demonstrate how these can be integrated into geographic information infrastructures. The components include an INSPIRE-compliant metadata catalogue for discovery of forest information, Web map viewers and Web-based forest analysis and modeling tools. The aim is to provide access to forest resources data at local, regional and global spatial scales, and to provide analytical capabilities for monitoring and validating forest change, using standardized Web services to facilitate accessibility, interoperability and data transfer. In this context, we also introduce concepts related to Open Geospatial Web Standards.
Study on the sub-regions volume of hippocampus and amygdala in schizophrenia.

Background Many studies have found volume changes in the hippocampus and amygdala in patients with schizophrenia, but these findings have not reached an agreement. Particularly, few results showed the volumes of the sub-regions of the amygdala. In this research, we aim to clarify volume changes of hippocampus and amygdala sub-regions in patients with schizophrenia. Methods The sample consisted of 69 patients with schizophrenia and 72 control subjects aged from 18 to 65 years. FreeSurfer 6.0 software was used on T1-weighted images to assess the volumes of hippocampus and amygdala and their sub-regions. The general linear model (GLM) was used to analyze the volume changes between the two groups. False discovery rate (FDR) correction was performed, and the significance level was set at 0.05. Results The hippocampus volume in schizophrenia showed reduction compared to healthy control (P<0.05). Several hippocampal subfields showed smaller volume in schizophrenia patients, including bilateral presubiculum and molecular layer, left hippocampal tail, subiculum and cornus ammonis (CA)1, and right parasubiculum (P<0.05). Left amygdala volume showed a decrease as well, sub-regions including the bilateral basal nucleus, anterior-amygdaloid-area (AAA), paralaminar nucleus and left lateral nucleus (P<0.05). Conclusions Several sub-regions of hippocampus and amygdala showed a volumetric decline in patients group, which suggest the key roles of these regions in the pathophysiology of schizophrenia. Based on these results, we speculate that these regions could be used to assess the early finding of schizophrenia.
IMPLEMENTASI ALGORITMA HILL CIPHER DALAM PENYANDIAN DATA NILAI AKHIR SEMESTER PADA PROGRAM STUDI TI-S1 TAHUN AJARAN 2014/2015 DENGAN MENGGUNAKAN KODE ASCII

Sistem keamanan seharusnya dapat meningkatkan keamanan data para penggunanya. Suatu kerahasian data dan informasi merupakan suatu hal yang sangat penting. Data tersebut biasanya disimpan dalam suatu sistem yang disebut dengan sistem basis data. Dalam pengamanan data dapat dilakukan dengan mengenkripsi data tersebut . Metode enkripsi algoritma Hill Cipher termasuk algoritma kriptografi klasik yang sulit dipecahkan, apabila dilakukan hanya dengan mengetahui berkas ciphertext saja. Karena Hill Cipher tidak mengganti setiap abjad yang sama pada ciphertext karena menggunakan perkalian matriks pada dasar enkripsi dan dekripsinya. Untuk semakin meningkatkan keamanan penyandian data maka dalam penelitian ini metode enkripsi algoritma Hill Cipher dimodifikasi dengan menggunakan kode ASCII.
Exploitation of Intelligent Agent For Building Expandable and Flexible Computerized Tutoring System

Abstract The ever-increasing growth of computer technologies, especially in hardware design, encourages many researchers to select the computer as an instructional tool. Most of the previous research in this area was concerned with building a package for specific topics. This approach made the use of computers more complex, as for each new topic we need a new design. This article addresses this problem by developing a powerful and flexible general-purpose tool that helps in building any tutoring system. This work presents the design and analysis of expandable and flexible tutoring packages based on intelligent agents. Agent-based programming methodology is used in designing the proposed system, in order to guarantee flexibility. Expandability is implied in a way that enables users to retrieve a prestored material, modify prestored material, or add new material. This article explains how intelligent software agents are used in designing to act on behalf of their human users to perform laborious information-gathering tasks. These tasks include locating and accessing information from various information sources, resolving inconsistencies in the retrieved information, and integrating information from heterogeneous information sources.
FP 12.4: A CMOS Scheme for 0.5V Supply Voltage with Pico-Ampere Standby Current

Recently, low-power requirements are getting stronger in VLSI designs. Since the power consumption of CMOS VLSIs quadratically depends on the supply voltage, low-voltage circuits have been exploited. If a VLSI is operated in 0.5V~0.8V VDD range for lowpower consumption, the threshold voltage of MOSFETs, VTH, should be well below 0.5V to turn the MOSFETs on. VTH between 0.1V and 0.2V causes 10nA-order subthreshold leakage current per logic gate in a standby mode, which leads to 10mA standby current for 1M-gate VLSIs. This hinders application of the VLSIs in mobile equipment powered by a small battery. The super cut-off CMOS (SCCMOS) circuit overcomes this problem. With the SCCMOS, operation is possible below 0.5V~0.8V VDD with 0.1V~0.2V VTH and, at the same time, pA-order standby current per logic gate can be achieved.
Detecting liver injury non‐invasively using hyperpolarized 13C MRI

In this issue of Liver International, Moon et al. (1) investigate the potential utility of hyperpolarized (HP) 13 C magnetic resonance imaging (MRI) for detecting hepatic ischemia reperfusion injury (IRI), an important complication of liver transplantation. Significantly elevated hepatic conversion of intravenously injected HP [1- 13 C]pyruvate to both [1- 13 C]lactate and [1- 13 C]alanine was detected following experimental hepatic IRI in rats, as compared with sham-operated controls. Analogous metabolic changes have also previously been detected using HP 13 C MRI in rodent models of IRI in both heart (2) and kidneys (3). The new results reported here in liver, taken together with prior work in the field, indicate strong potential for application of this approach to the diagnosis and monitoring of liver injury.
NeATS in DUC 2002

NeATS (Next Generation Automated Text Summarization) project focuses on multi-document summarization. The summarization strategies employed in the NeATS 2001 system including sentence position, term frequency, topic signature (Lin and Hovy 2000, 1997; Hovy and Lin 1999), term clustering, MMR (Goldstein et al. 1999) , stigma word filters (Edmundson 1969), and time stamps have been proved effective in the DUC 2001 evaluation. However, the results also indicate there is still a long way to go before the current system can catch up with human performance (Lin and Hovy 2002). Analyzing the DUC 2001 results, we made the following observations :
ABBET and industry-how to apply ABBET principles and make money doing it!

A Broad Based Environment for Test (ABBET) is a set of related standards being developed by industry and government experts to produce several results in the rapidly changing product test context. Specifically, the goals of the ABBET standards are to: (1) Reduce test program development time. (2) Increase test program accuracy and effectiveness. (3) Provide reusability of test code from one test software application to another. (4) Provide for specific instrument independence thus promoting rehost opportunities. The ABBET architecture is based on comprehensive Test Foundation Framework (TFF) which forms a foundation for each component standard, application specific frameworks, and application programs. The TFF is a categorized object-oriented class hierarchy which provides the objects and services necessary to fulfil the test requirements for a broad segment of the test industry. Test equipment vendors and system integrators currently utilize proprietary development architectures and methodologies to achieve test goals. Many of these facilities are based on Microsoft Windows using visual programming paradigm. This paper introduces the ABBET Test Foundation Framework by comparing it to the very successful Smalltalk-80 and Microsoft Foundation Class libraries. The aim of the paper is to show that the ABBET standards are aligned with the directions and goals being promoted now by instrument vendors, system integrators, and test system users.
Wavelet-based method for reducing respiratory interference in thoracic electrical bioimpedance

The measurements of the thoracic electrical bioimpedance (TEB) are useful for the research on the cardiac functions and in clinical diagnosis. However, TEB is usually contaminated by very heavy respiratory interference. The uses of digital filtering, signal averaging and adaptive processing to remove the respiratory interference have some problems respectively. In this paper, the wavelet-based method for cancellation of respiratory interference is proposed. The continuous wavelet transform (CWT) and the discrete wavelet transform (DWT) are used for the de-respiration. The result of the method of the discrete wavelet transform is satisfactory and the simulated signal is used to prove its accuracy. The de-noising technique based on the discrete wavelet transform is proved to be easy, fast and effective. It can also be applied to other biosignals for denoising.
Data Management System for Surface Drifters

The large scale deployment of surface drifters has its origins in the FGGE programme in the late 1970s. Over the course of the next 25 years, surface drifters have become routinely used in all oceans so that now there are more than 1250 operating. The data management systems to handle the data returned from these platforms started with FGGE and have evolved. The main difference between the early years and now from a data system perspective is the volume and timeliness of reporting the data, though more variables are also being measured. Presently there are more than 1 million records reported in real-time and such high volumes are straining processing systems that were originally set up for fewer records and manual scrutiny of the data. The future system will need more sophisticated algorithms for automatic detection of possible errors and these must be developed in cooperation with the scientific and instrument communities. Data must move more quickly through the processing streams and become available to users. Despite the large volumes, there is high demand for on-line access to the entire archive. Strategies must be developed to meet this demand without large data requests swamping data servers. Part of this will involve providing data browse and selection tools that permit a user to refine their request to only the data of interest. Finally, there is an increasing need to use data from different sources to examine a variety of scientific and societal problems. Standard vocabularies for naming variables, instruments, methods, etc., must become widely used to allow easier interoperability of data.
Efficacy and safety of total glucosides of paeony combined with methotrexate and leflunomide for active rheumatoid arthritis: a meta-analysis

Purpose: Total glucosides of paeony (TGP) have been confirmed to reduce hepatotoxicity caused by methotrexate (MTX) and leflunomide (LEF) in rheumatoid arthritis (RA). Nevertheless, high-quality evidence-based meta-analysis data on the issue are unavailable. This study aimed to evaluate the efficacy and safety of this combination treatment for RA. Materials and methods: PubMed, EMBASE, Web of Science, Cochrane Library, ClinicalTrials, Chinese Biomedical Literature database, China National Knowledge Internet, Wan Fang, and VIP were searched up to February 2019. Randomized controlled trials (RCTs) on the efficacy and safety of TGP combined MTX and LEF for RA were included. Results: Eight RCTs were included in the final meta-analysis. Pooled results showed better therapeutic effects against RA in the TGP-treated group (RR =1.10, 95% CI: 1.04 −1.16). The TGP+MTX+LEF group showed a reduced erythrocyte sedimentation rate (MD = −2.80 mm/h, 95% CI: −5.08 - −0.52), C-reactive protein level (MD = −4.17 mg/L, 95% CI: −7.84 - −0.51), and rheumatoid factor (MD = −12.09 IU/mL, 95% CI: −14.05 - −10.14). Besides, the combination treatment tended to benefit lipid profiles (total cholesterol: 95% CI: −1.27–0.06; triglycerides: 95% CI: −0.49 - −0.08; high-density lipoprotein cholesterol: 95% CI: 0.15–0.83; and low-density lipoprotein cholesterol: 95% CI: −0.54 - −0.02). Adverse events, hepatotoxicity in particular, significantly decreased (RR =0.55, 95% CI: 0.38–0.80) in the TGP group. Conclusion: Compared to MTX and LEF therapy, TGP combination treatment may be a more effective and safer strategy. It is advisable to apply TGP as an adjuvant given its hepatoprotective and possible lipid-regulating effect. However, further large-scale and high-quality clinical trials are warranted, and the efficacy of TGP in terms of its effect on lipid profiles should be further confirmed.
IT project portfolio governance practice: An investigation into work design problems

ABSTRACT As organizations increasingly invest in IT-enabled innovation, practitioners become dependent on IT project portfolio management to mitigate risks generated from multiple projects. However, our knowledge about IT project portfolio governance practices and how interactions between different structural arrangements enable or hinder effective portfolio management is limited. Against that backdrop, we report a case study of IT project portfolio governance in a Danish municipality. Drawing on work design theory (WDT), we identify three types of governance problems—hierarchical decomposition, modularity, and complex network problems—and we uncover the network of observed governance problems in the municipality’s portfolio management practices. As a result, we offer two contributions: a detailed empirical account of IT project portfolio governance, and a demonstration of how WDT can help explain problems in IT project portfolio governance practices. In conclusion, we discuss how these results may inform future research and help organizations improve governance practices in similar contexts.
Using laser range data to model tunnel curvature for the automatic guidance of a mining vehicle

The paper presents an automatic guidance system for semi-structured environments such as mine tunnels. This system uses a laser range finder to obtain information about the environment. In order to guide the vehicle properly, a perception system estimates, from the range data, the tunnel curvature and the lateral and orientation offsets of the vehicle with respect to the center of the tunnel. The vehicle considered in the study represents a small scale articulated mining vehicle. Two different methods are proposed and compared for the perception system. The first one, based on the least-squares approach, requires much range data. The second method makes use of a Kalman filter and needs only two range data. Different tests in simulation illustrate the performance of the two approaches for automatic guidance. <<ETX>>
Improving efficiency in a Batcher-banyan packet switch

A broadband packet switch adopting a Batcher-banyan interconnection network is described. Using dedicated hardware, contention between input port controllers for the output ports is solved before transmitting the user packets. No complex design is required for this hardware; as it basically uses chips already required in a Batcher-banyan packet switches, several contention cycles can be run without requiring internal clocks incompatible with the available technology. This feature permits service policies of the input queues in this switch other than FCFS. A reduction of the head-of-line blocking typical of FCFS-input queued switches is obtained and, consequently, the throughput and delay performance of the switch is improved. <<ETX>>
Designing Efficient MPI and UPC Runtime for Multicore Clusters with InfiniBand, Accelerators and Co-Processors

High End Computing (HEC) has been growing dramatically over the past decades. The emerging multi-core systems, heterogeneous architectures and interconnects introduce various challenges and opportunities to improve the performance of communication middlewares and applications. The increasing number of processor cores and Co-Processors results in not only heavy contention on communication resources, but also much more complicated levels of communication patterns. Message Passing Interface (MPI) is the dominant parallel programming language for HPC application area in the past two decades. MPI has been very successful in implementing regular, iterative parallel algorithms with well defined communication pattern. Instead, the Partitioned Global Address Space (PGAS) programming model provides a flexible way for these applications to express parallelism. Different variations and combinations of these programming languages present new challenges in designing optimized programming model runtimes, in terms of efficient sharing of networking resources and efficient work-stealing techniques for computation load balancing across threads/processes, etc. Middlewares play a key role in delivering the benefits of new hardware techniques to support the new requirement from applications and programming models. This dissertation aims to study several critical contention problems of existing runtimes, which supports popular parallel programming models (MPI and UPC) on emerging multi-core/many-core