Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Data Collection Strategies for Lifetime-Constrained Wireless Sensor Networks

Communication is a primary source of energy consumption in wireless sensor networks. Due to resource constraints, the sensor nodes may not have enough energy to report every reading to the base station over a required network lifetime. This paper investigates data collection strategies in lifetime-constrained wireless sensor networks. Our objective is to maximize the accuracy of data collected by the base station over the network lifetime. Instead of sending sensor readings periodically, the relative importance of the readings is considered in data collection: the sensor nodes send data updates to the base station when the new readings differ more substantially from the previous ones. We analyze the optimal update strategy and develop adaptive update strategies for both individual and aggregate data collections. We also present two methods to cope with message losses in wireless transmission. To make full use of the energy budgets, we design an algorithm to allocate the numbers of updates allowed to be sent by the sensor nodes based on their topological relations. Experimental results using real data traces show that, compared with the periodic strategy, adaptive strategies significantly improve the accuracy of data collected by the base station.
Structure and functional significance of mechanically unfolded fibronectin type III1 intermediates

Fibronectin (FN) forms fibrillar networks coupling cells to the extracellular matrix. The formation of FN fibrils, fibrillogenesis, is a tightly regulated process involving the exposure of cryptic binding sites in individual FN type III (FN-III) repeats presumably exposed by mechanical tension. The FN-III1 module has been previously proposed to contain such cryptic sites that promote the assembly of extracellular matrix FN fibrils. We have combined NMR and steered molecular dynamics simulations to study the structure and mechanical unfolding pathway of FN-III1. This study finds that FN-III1 consists of a β-sandwich structure that unfolds to a mechanically stable intermediate about four times the length of the native folded state. Considering previous experimental findings, our studies provide a structural model by which mechanical stretching of FN-III1 may induce fibrillogenesis through this partially unfolded intermediate.
Searching context relevant learning resource using ontology mappings

This paper proposes an ontology mapping based framerowk that allows searching for learning resorces using multiple ontologies. The paper also gives a solution how to interoperate e-learning systems based on different ontologies. The proposed apporach uses a mapping ontology that is a part of the Simple Knowledge Organization System (SKOS), a recent W3C effort. Using that framework we develop and implement a search algorithm. The solution is evaluated on a system that enables learners to search for relevant learning resource using an ontology describing their local context (i.e. course).
Minimum energy information fusion in sensor networks

In this paper we consider how to organize the sharing of information in a distributed network of sensors and data processors so as to provide explanations for sensor readings with minimal expenditure of energy. We point out that the Minimum Description Length principle provides an approach to information fusion that is more naturally suited to energy minimization than traditional Bayesian approaches. In addition we show that for networks consisting of a large number of identical sensors Kohonen self-organization provides an exact solution to the problem of combing the sensor outputs into minimal description length explanations.
Morphological PDEs on Graphs for Image Processing on Surfaces and Point Clouds

Partial Differential Equations (PDEs)-based morphology offers a wide range of continuous operators to address various image processing problems. Most of these operators are formulated as Hamilton–Jacobi equations or curve evolution level set and morphological flows. In our previous works, we have proposed a simple method to solve PDEs on point clouds using the framework of PdEs (Partial difference Equations) on graphs. In this paper, we propose to apply a large class of morphological-based operators on graphs for processing raw 3D point clouds and extend their applications for the processing of colored point clouds of geo-informatics 3D data. Through illustrations, we show that this simple framework can be used in the resolution of many applications for geo-informatics purposes.
Analysis of the Ability of Spirochete Species Associated with Relapsing Fever, Avian Borreliosis, and Epizootic Bovine Abortion To Bind Factor H and Cleave C3b

ABSTRACT Some Borrelia species associated with Lyme disease bind the complement-regulatory protein factor H (fH), a process that may aid in immune evasion. In this report we demonstrate that some Borrelia species associated with relapsing fever bind fH, but not those associated with avian borreliosis and epizootic bovine abortion. Cell-bound fH was also found to mediate cleavage of exogenously supplied human C3b, demonstrating the biological relevance of fH binding and its possible importance in the pathogenesis of the relapsing-fever spirochetes.
Optimization of sequence queries in database systems

The need to search for complex and recurring patterns in database sequences is shared by many applications. In this paper, we discuss how to express and support efficiently sophisticated sequential pattern queries in databases. Thus, we first introduce SQL-TS, an extension of SQL, to express these patterns, and then we study how to optimize search queries for this language. We take the optimal text search algorithm of Knuth, Morris and Pratt, and generalize it to handle complex queries on sequences. Our algorithm exploits the inter-dependencies between the elements of a sequential pattern to minimize repeated passes over the same data. Experimental results on typical sequence queries, such as double bottom queries, confirm that substantial speedups are achieved by our new optimization techniques.
A prospective study for prevalence and/or development of transfusion-transmitted infections in multiply transfused thalassemia major patients

Objective: To evaluate the rate of seropositivity to hepatitis B and C and Human Immunodeficiency Virus (HIV) infections among children with β-thalassemia major receiving multiple transfusions in Ahmedabad, India, compared with healthy controls. Materials and Methods: The study was performed during January 2007 to January 2009 on multi-transfused children suffering with β-thalassemia major registered in the Prathama Blood Centre, Ahmedabad; Jeevandeep hospital, Ahmedabad; and Red Cross Blood Centre, Ahmedabad, and investigated for the prevalence and development of transfusion-transmitted infections. Hepatitis B surface Antigen (HBsAg), anti-Hepatitis C Virus (HCV) Antibodies (Ab), and HIV Ab were checked using a fourth-generation Enzyme-Linked Immunosorbent Assay (ELISA). Positive tests were confirmed by western blots. Healthy blood donors were used for the control group. Results: Hepatitis B surface antigen, anti-HCV Ab, and HIV Ab were positive in one of 96 (1.04%; 95% Confidence Interval (CI) = 0.17–1.3), 24 of 96 (25%; 95% CI = 11.4–14.2), and one of 96 (1.04%; 95% CI = 0.12–1.3), respectively. The rate of anti-HCV Ab was significantly higher in multi-transfused children suffering with β-thalassemia major. In thalassemia patients, the rate of positive anti-HCV Ab was significantly higher than that for positive HBsAg (P<0.001) and HIV Ab (P<0.001). Conclusion: It is concluded that HCV is the current major problem in multi-transfused children with thalassemia major and more careful pretransfusion screening of blood for anti-HCV must be introduced in blood centers.
Residual coherence and residual envelope correlation in MEG/EEG source-space connectivity analysis

Source-space coherence analysis has become a popular method to estimate functional connectivity based on MEG/EEG. One serious problem is that source-space coherence analysis can be confounded by spurious coherence caused due to the leakage properties of the inverse algorithm employed. Such spurious coherence is typically manifested as an artifactual large peak around the seed voxel, called seed blur, in the resulting coherence images. This seed blur often obscures important details of brain interactions. A novel method of computing coherence, called the residual coherence, is first proposed to remove the spurious coherence caused by the leakage of an imaging algorithm. We then present a theoretical analysis that shows the equivalence between the proposed residual coherence and corrected imaginary coherence proposed by others. We next extend the idea of residual coherence, and propose residual envelope correlation, which is suitable for estimating connectivity from high-frequency brain activities. Results from computer simulations demonstrate the effectiveness of the residual coherence and the residual envelope correlation.
Studying the Emergence of Multicellularity with Cartesian Genetic Programming in Artificial Life

A study is made to learn how multicellular organisms might have emerged from singlecelled organisms. An understanding of this phenomenon might provide a better understanding of natural and man-made multicellular systems. The experiment performed is an Artificial Life simulation that uses Cartesian Genetic Programming to evolve the behaviors of individual cells. Cells have the ability to sense chemicals around them, signal, divide, and move towards or away from chemicals. Interesting group behavior emerged from the simple instruction sets used by the cells.
2 . 5 D RECONSTRUCTION OF BUILDING FROM VERY HIGH RESOLUTION SAR AND OPTICAL DATA BY USING OBJECT-ORIENTED IMAGE ANALYSIS TECHNIQUE

DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. i ABSTRACT 2.5D building modelling is of great interest for visualization, simulation and monitoring purposes in different cases like city and military mission planning or rapid disaster assessment. Manual and automatic extraction of building information from SAR interferometry is complicated by layover, foreshortening, shadowing and multi-bounce scattering, especially in dense urban areas with tall buildings. This can be overcome by using optical imagery to provide the shapes of the building footprints whereas SAR data is used for the refinement of the detected footprints and for providing building height information. Two TerraSAR-X images were used in this research, with High Resolution Spotlight Mode (azimuth resolution 1.1m) together with the QuickBird image. The study area is located in Delft, the Netherlands. First, a digital Surface Model (DSM) was estimated from SAR interferometry processing. Different levels of external height information from Shuttle Topography Mission Digital Elevation Model (SRTM), LIDAR Digital Terrain Model (LIDAR DTM) and LIDAR Digital Surface Model (LIDAR DSM) were used for phase flattening and registration to investigate how they influence the overall accuracy of SAR interferometry processing. Building footprints were extracted with an Object Oriented Analysis (OOA) method from the QuickBird image, with input of the InSAR DSM as external knowledge. Due to spectral complexity of urban areas, it is impossible to extract correctly buildings from the QuickBird image only based on spectral information. OOA including the building height information from InSAR DSM improved the extraction of building footprints from the QuickBird image. Then, the 2.5D building model was derived by combining the building footprints and the building height from InSAR DSM. Finally, the vertical accuracy of the model was assessed with a reference from the LIDAR DSM and the field data from a clinometer. The 2π height ambiguity was determined as 45.94 m from the baseline estimation (131.35 m) of the InSAR pair. If the baseline is larger, the height ambiguity is smaller; so it yields more fringes in the interferogram and is more sensitive to topography or structures such as buildings. The SAR interferometry processing with the LIDAR DSM reduced the phase unwrapping error and helped the registration of …
Evaluation of a multi-site health services psychology training program for telehealth and integrated behavioral health

Introduction Training future providers in telehealth and integrated care models can improve access and outcomes, especially among rural and underserved populations. The (blinded) project implemented behavioral health training for health service psychology doctoral students with three partner organizations. Trainees received both experiential and didactic training in telehealth and integrated behavioral health. Telehealth was utilized for remote warm hand-offs, hybrid shared appointments, therapy sessions, coordination with providers, and supervision. Program elements included opportunities for consultations with experts in other disciplines, supportive mentorship, exposure to various parts of a healthcare system, and interactions with diverse clients. Methods The (blinded) training program evaluated trainee outcomes using fourteen interviews and three focus groups. Interviews and focus groups examined aspects of the program that contributed to trainees’ knowledge, skills, and attitudes. Results Evaluation results revealed increased levels of trainee confidence, autonomy and independence. Training reportedly enabled improved ability to collaborate and communicate with other professions, increased flexibility and adaptability, and openness to others’ ideas. Trainees reported the program’s use of telehealth enhanced awareness of their own skills and team members’ perspectives of technology in care delivery. Discussion Descriptions of the three care models, lessons learned, and qualitative results about trainee outcomes can be translated into best practices for workforce development and enhance psychology trainees’ self-awareness and ability to incorporate others’ viewpoints about technology and treatment approaches into healthcare.
ResumeVis

Massive public resume data emerging on the internet indicates individual-related characteristics in terms of profile and career experiences. Resume Analysis (RA) provides opportunities for many applications, such as recruitment trend predict, talent seeking and evaluation. Existing RA studies either largely rely on the knowledge of domain experts, or leverage classic statistical or data mining models to identify and filter explicit attributes based on pre-defined rules. However, they fail to discover the latent semantic information from semi-structured resume text, i.e., individual career progress trajectory and social-relations, which are otherwise vital to comprehensive understanding of people’s career evolving patterns. Besides, when dealing with large numbers of resumes, how to properly visualize such semantic information to reduce the information load and to support better human cognition is also challenging. To tackle these issues, we propose a visual analytics system called ResumeVis to mine and visualize resume data. First, a text mining-based approach is presented to extract semantic information. Then, a set of visualizations are devised to represent the semantic information in multiple perspectives. Through interactive exploration on ResumeVis performed by domain experts, the following tasks can be accomplished: to trace individual career evolving trajectory; to mine latent social-relations among individuals; and to hold the full picture of massive resumes’ collective mobility. Case studies with over 2,500 government officer resumes demonstrate the effectiveness of our system.
On calculating power-aware connected dominating sets for efficient routing in ad hoc wireless networks

Efficient routing among a set of mobile hosts (also called nodes) is one of the most important functions in ad hoc wireless networks. Routing based on a connected dominating set is a promising approach, where the searching space for a route is reduced to nodes in the set. A set is dominating if all the nodes in the system are either in the set or neighbors of nodes in the set. Wu and Li [1] proposed a simple and efficient distributed algorithm for calculating connected dominating set in ad hoc wireless networks, where connections of nodes are determined by geographical distances of nodes. In general, nodes in the connected dominating set consume more energy in order to handle various bypass traffics than nodes outside the set. To prolong the life span of each node, and hence, the network by balancing the energy consumption in the network, nodes should be alternated in being chosen to form a connected dominating set. In this paper, we propose a method of calculating power-aware connected dominating set. Our simulation results show that the proposed approach outperforms several existing approaches in terms of life span of the network.
THE FRACTURE OF PLASTICALLY-DEFORMING , ADHESIVELY-BONDED STRUCTURES : II NUMERICAL STUDIES

To enable the effective and reliable use of structural adhesive bonding in automotive applications, the cohesive properties of a joint need to be determined over a wide range of loading rates. In this paper, a strategy for determining these properties has been described and used to analyze a set of experimental results presented in a companion paper. In the particular system studied, a crack growing in a toughened quasistatic mode could make a catastrophic transition to a brittle mode of fracture. The cohesive parameters for both the toughened and brittle modes of crack growth were determined by comparing numerical predictions from cohesive-zone simulations to the results of experimental tests performed using double-cantilever beam specimens and tensile tests. The cohesive parameters were found to be essentially rate independent for the toughened mode, but the toughness dropped by a factor of four upon a transition to the brittle mode. The results of wedge tests were used as an independent verification of the cohesive parameters, and to verify that the quasi-static properties remained rateindependent to very high crack velocities corresponding to conditions of low-velocity impact. The effects of friction, and the use of the wedge test to determine cohesive parameters, were also explored.
Coupling information retrieval and information extraction: A new text technology for gathering information from the web

The techniques of information retrieval and information extraction are complementary, but to date there has been little concrete work aimed at integrating the two. We describe how each of these techniques contributes to the process of transferring information from generator to user, summarise the issues which must be addressed if they are to work together, and report the results of some preliminary experiments on coupling them which indicate that these technologies can be jointly used to construct a structured data resource from free text on the WWW.
Pengaruh Suhu terhadap Produksi Amilase dari Bakteri sebagai Bahan Praktikum di Laboratorium Teknologi Rekayasa Pangan

Beberapa praktikum di Program Studi Teknologi Rekayasa Pangan memerlukan enzim sebagai bahannya. Selama ini, enzim didapatkan dari nanas untuk bromelin dan kentang untuk katalase. Penelitian ini dilakukan untuk memperbanyak jenis enzim yang digunakan untuk praktikum. Enzim yang ingin dicari adalah amilase. Penelitian ini bertujuan untuk mengetahui pengaruh suhu inkubasi bakteri terhadap aktivitas amilase yang dihasilkan. Tiga isolat yang diuji yaitu A3-04, A3-02 dan G1-01 menunjukkan ketiganya memiliki aktivitas amilase. Zona bening yang dimiliki A3-04 terlihat memiliki ukuran yang paling besar dibandingkan dengan A3-02 dan G1-01, diduga A3-04 memiliki aktivitas amilase paling tinggi. Metode DNS (Dinitro salicylic acid) dilakukan untuk menentukan aktivitas amilase. Pengaruh suhu dan waktu inkubasi bakteri pada aktivitas amilase ditentukan dengan menumbuhkan kultur bakteri pada suhu 30, 35 dan 40oC. Sampel diambil pada waktu inkubasi 15, 16 dan 17 jam untuk dilakukan pengukuran aktivitas amilase. Selain aktivitas amilase, dilakukan juga pengukuran kepadatan sel bakteri dengan spektrofotometer pada panjang gelombang 600 nm. Berdasarkan hasil penelitian, aktivitas amilase tertinggi terjadi pada inkubasi bakteri A3-04 pada suhu 35oC selama 17 jam. Dari hasil ini, rekomendasi yang dapat diberikan untuk memproduksi amilase adalah melakukan inkubasi bakteri A3-04 pada suhu 35oC selama 17 jam. Hasil identifikasi bakteri secara molekuler isolat A3-04 adalah Bacillus flexus strain Xh8 dengan tingkat kesamaan 100,00%. Kata kunci — Amilase, Bacillus flexus, suhu, kepadatan sel, waktu inkubasi
Alcohol Consumption and Mortality From Stroke and Coronary Heart Disease Among Japanese Men and Women: The Japan Collaborative Cohort Study

Background and Purpose— Previous studies have demonstrated the association between alcohol consumption and cardiovascular mortality. However, the sex-specific association between alcohol consumption and mortality from stroke and coronary heart disease remains unclear. Methods— Between 1988 and 1990, 34 776 men and 48 906 women aged 40 to 79 years completed a self-administered questionnaire including information about alcohol consumption. They were followed-up for a median duration of 14.2 years. Results— Of the 83 682 respondents, 1628 died from stroke and 736 died from coronary heart disease. For men, heavy drinking (≥46.0 g ethanol/day) was associated with increased mortality from total, hemorrhagic, and ischemic strokes, whereas light-to-moderate drinking was associated with reduced mortality from total cardiovascular disease, compared with not drinking. The respective multivariable hazard ratios (95% CI) were 1.48 (1.22 to 1.80) for total stoke, 1.67 (1.17 to 2.38) for hemorrhagic stroke, 1.35 (1.04 to 1.75) for ischemic stroke, and 0.88 (0.78 to 1.00) for total cardiovascular disease. Women who were heavy drinkers (≥46.0 g ethanol/day) showed increased mortality from coronary heart disease, and there was reduced mortality from total cardiovascular disease for drinkers of 0.1 to 22.9 g ethanol per day compared with mortality for nondrinkers. The respective multivariable hazard ratios (95% CI) for the 2 categories of drinkers were 4.10 (1.63 to 10.3) and 0.75 (0.62 to 0.91). Conclusions— Heavy alcohol consumption is associated with increased mortality from total stroke, particularly hemorrhagic stroke, and total cardiovascular disease for men, and from coronary heart disease for women, whereas light-to-moderate drinking may be associated with reduced mortality from cardiovascular disease for both sexes.