Miracle-dz/UniFAR-FTUs huggingface dataset:
Mark–release–recapture study to measure dispersal of the mosquito Aedes aegypti in Cairns, Queensland, Australia

Abstract. In Queensland, Australia, in response to isolated cases of dengue infection, larval control of the vector Aedes aegypti (L.) (Diptera: Culicidae) is targeted at breeding sites within 200 m of a case and interior spraying with a pyrethroid adulticide is targeted at premises within 100 m. To ascertain whether these limits are appropriate, we conducted a mark–release–recapture study to measure the dispersal of female Ae. aegypti in the city of Cairns where transmission occurs. Female mosquitoes reared from wild collected eggs were differentially marked with fluorescent dust depending on whether they were to be released blood‐fed or non‐blood‐fed, and a total of 1948 females was released. A total of 132 sticky ovitraps was set at 64 premises within a 200 m radius and collections of trapped adults were made at 5–15 days post‐release. Sixty‐seven females (3.4%) were recaptured, with the furthest being caught 200 m from the release point, and the mean distance travelled was 78 m. Overall, 23.1% of the recaptures outside the release site were taken beyond 100 m by day 15. Dispersal was comparable for both blood‐fed and non‐blood‐fed releases. There was a significant tendency for dispersal to be in a north‐westerly direction, probably because of the presence of numerous containers and heavy shading by trees in this direction and a busy road to the south of the release point that appeared to inhibit dispersal. The results suggest that adulticiding may have to be extended beyond 100 m if more than 8 days have elapsed since female Ae. aegypti could have fed upon a viraemic dengue case. The study also shows that dispersal is not random, and that it may be possible to maximize vector control by taking into account environmental factors that affect the direction of female mosquito flight.
Comparison of the ICA and PCA methods in correction of EEG signal artefacts

The paper presents application and comparison of two methods based on the blind source separation problem: Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as well as combining these methods. Both methods might be applied in the task of eliminating artefacts from the electroencefalography (EEG) signal. Such artefacts might cover eye-blinks, muscle artefacts etc. The case study described in the paper presents the results of correcting various kinds of artefacts using these methods and its comparison to manual artefact detection performed by an expert.
Bacteriophage Lambda as a Cloning Vectort

Expression vectors. 578 Promoter probe and terminator probe vectors. 578 Cosmids. 578 Phagemids. 578 Bacteriophage Vectors. 578 Filamentous phages . 578 Double-stranded phage vectors. 579 Scope of Present Review. 579 LIFE CYCLE AND GENETICS OF LAMBDA . 579 Development of Lambda: Two Alternative Modes . 579 Lytic Cycle . 579 Three stages of lytic cycle . 579 DNA replication and in vivo packaging . 579 Lysogeny. 580 Lysogeny or Lytic Cycle . 580 PHAGE LAMBDA AS A VECTOR . 580 Manipulation of Restriction Sites. 580 Size Limitation for Packaging . 580 Transfection of Recombinant Molecules . 581 Two-strain packaging. 581 Single-strain packaging. 581 Biological Containment. 581 PHAGE VECTORS. 581 Replacement Vectors. 581 Insertion Vectors. 581 Charon Phages . 582 A1059 and Derivatives.584 AEMBL . 585 Agtll to Agt23. 0585 AgtlO.000000. 585 AZAP . 585 Novel Lambda Vectors. Vectors for directional cloning . Vectors with controlled lytic and lysogenic events. Vectors for in vitro transcription of cloned inserts. Choice of Hosts for Lambda Vectors. Storage of Lambda Stocks. DETECTION OF RECOMBINANTS. Screening a Phage Library. Immunological screening. Nucleic acid probes. Differential and Subtractive Screening Methods. Differential screening. Subtractive screening. 585 . 585 . 586 . 586 . 586 . o587 . oo.o . 587 . ooo.587 . 587 . oooo587 . 587 . 588 cell * --. -----. JoO
Semi-supervised logo-based indoor localization using smartphone cameras

In this paper, we propose a homography-aware semi-supervised formulation for the logo-based indoor localization problem using smartphone cameras. Our method labels unmatched feature points detected inside the logo parts of query images with their estimated 3D coordinates. The 3D coordinates are computed using the homography estimated from the matched features. We demonstrate the accuracy improvement and lower localization error variance resulted from our semi-supervised approach via experiments in an indoor scenario.
Andrographolide Inhibits Angiogenesis by Inhibiting the Mir-21-5p/TIMP3 Signaling Pathway

Angiogenesis provides nutrients and oxygen to promote tumor growth and affords a channel that facilitates tumor cell entry into the circulation. Andrographolide (Andro) possess anti-tumor activity; however, its direct effect on angiogenesis still needs to be clarified. In this study, our experiments revealed that Andro significantly inhibited vascular growth in chick embryo chorioallantoic membrane (CAM) and yolk sac membrane (YSM) models. Meanwhile, tumor angiogenesis was also suppressed by Andro. Additionally, we found that cell proliferation, migration and tube formation of vascular endothelial cells was inhibited by Andro treatment in vitro. The effect was primarily mediated through inhibition of miR-21-5p expression and further targeting of TIMP3. This work provides evidence that Andro directly inhibits angiogenesis and might be an effective anti-angiogenic therapeutic drug for cancer treatment.
Semantically Enriched Information Seeking in Peer-to-Peer File Sharing Systems - Empirical Evidence from the User Perspective

In Peer-to-Peer (P2P) based file sharing systems, keyword-based retrieving is the predominant search functionality. Both, the emergence of semantic web structures and research results on user behavior indicate that in certain circumstances, browsing in semantic networks is not only the more efficient search functionality in specific cases, but also leads to a higher user satisfaction. In this paper, our research objective is threefold. First, we want to explore currently provided search mechanisms in P2P file sharing systems in order to uncover a possible lack in the provision of user-friendly search functionalities. Second, we want to examine for P2P file sharing systems whether information browsing on semantic networks and keyword-based searching lead to significant differences in search efficiency and user satisfaction. Third and closely related to the second research aim, we want to additionally investigate the predictors of search efficiency, user satisfaction and usage intention in the context of P2P file sharing systems.
Notice of RetractionModernization of Traditional Chinese Medicine Diagnosis Based on Modern Information Technologies

Chinese medical physicians obtain the patient's syndroms through inspection, auscultation and olfaction, inquiring, palpation(called si zhen in Chinese); and diagnose disease though 'syndrome differentiation'. Acquirement and integration of si zhen information are implemented according to personal knowledge and experience, which will lead to TCM diagnosis to be affected by subjective factors inevitably. Modern Information Technique is applied to TCM diagnosis, which has practical significance to help the objective of TCM diagnosis. This paper is aimed to illustrate the methods and status of objective research of TCM diagnosis. Firstly the objective, accurate and stable acquirement of si zhen information is demonstrated in this paper, then the practical and effective feature extraction and selection of si zhen information is discussed, lastly the pattern recognition and classification of syndrome in TCM diagnosis is presented.
A subcarrier-slot partition scheme for wavelength assignment in elastic optical networks

In elastic optical networks (EONs), bandwidth fragmentation refers to the existence of non-aligned and noncontiguous subcarrier slots (unused) in the set of all subcarrier slots. Since wavelengths for a connection must be allocated on contiguous subcarrier slots, these non-aligned and noncontiguous available subcarrier slots could cause bandwidth blocking. This paper proposes a subcarrier-slot partition scheme for wavelength assignment in EONs that can yield more contiguous aligned available subcarrier slots, which reduces the bandwidth blocking probability. On this scheme, the total set of subcarrier slots is separated into several partitions and wavelengths are assigned to each partition based on the links utilized by particular connections. Numerical results from a simulation show that the proposed scheme with a suitable wavelength assignment policy outperforms the conventional scheme in terms of bandwidth blocking. We investigate the effect of different wavelength assignment policies in the proposed scheme. The results show that the first-last fit assignment policy gives lower bandwidth blocking probability than the first fit assignment policy.
Evaluating the downstream implications of planned water resource development in the Ethiopian portion of the Blue Nile River

Ethiopia's policy of large dam construction in the Blue Nile River basin is evaluated by simulating the impact of one downscaled midrange climate change scenario (A1B) on the performance of existing and planned irrigation and hydropower schemes. The simulation finds that by 2100: 1) average basin-wide irrigation demand will increase; 2) annual hydroelectricity generation will be just 60% of potential; and 3) flow at the Ethiopia-Sudan border will be reduced from 1661 m3/s to 1301 m3/s as a consequence of climate change in combination with upstream water resource development. Adaptation to climate change and development must be considered together.
Effects of a Worksite Health Programme on the Improvement of Physical Health among Overweight and Obese Civil Servants: A Pilot Study.

BACKGROUND Physical inactivity and reduced energy expenditure has led to increased obesity among office workers. This study was conducted to investigate the effectiveness of a worksite health programme aimed at improving physical health among obese civil servants. METHODS A total of 28 employees participated in a six-month-long obesity health programme, which consisted of two weekly unsupervised exercise sessions and monthly dietary/health education sessions. The physical fitness and body fat percentages of participants were assessed at the baseline and after six months, using SPSS version 20.0. RESULTS The participants were 31.6 years (SD 8.2) of age, and had a BMI of 27.6 kg/m(2) (SD 3.2). The Wilcoxon test showed significant differences in body fat percentage (P = 0.010), gross maximum oxygen uptake (VO2max, P = 0.014), partial curl up repetition (P = 0.001) and sit and reach distance (P = 0.005). However, no significant effects were observed on body mass (P = 0.193), self-perceived level of physical activity (P = 0.145) or behaviour toward exercise (P = 0.393). CONCLUSION The worksite health programme successfully improved the physical fitness and body fat percentages of subjects, despite not improving the subjects' self-perceptions with regard to physical activity.
Polarimetric Two-Scale Model for Soil Moisture Retrieval via Dual-Pol HH-VV SAR Data

Model and corresponding algorithm able to retrieve both soil moisture and surface roughness of a bare soil from a pair of measured hh- and vv-polarised SAR images are here presented. The estimation procedure is founded on the prediction of power densities and correlation between the copolar channels provided by the Polarimetric Two-Scale Model, recently proposed by the authors. The performance of the estimation algorithm is assessed by comparing obtained retrieval results with “in situ” measurements. To this aim, data from Little Washita SMEX'03 campaign, whose results provide a popular and freely available reference, are used.
ND-Tree : Multidimensional Indexing Structure

The importance of multimedia databases has been growing over the last years in the most diverse areas of application, such as: Medicine, Geography, etc. With the growth of importance and of use, including the explosive increase of multimedia data on the Internet, comes the larger dimensions of these databases. This evolution creates the need for more efficient indexing structures in a way that databases can be useful, returning accurate results in a short time. Typically, these databases use multi-dimensional indexing structures to deal with feature vectors extracted from multimedia elements. However, the majority of existing multidimensional indexing structures, suffer from the well-known “dimensionality curse”, making the search in high-dimensional spaces a hard problem. In this work we developed an efficient indexing structure to support large databases containing data of high dimensions (over 100). The new indexing structure, *D-Tree (*orm Diagonal Tree), is based on a new dimension reduction technique based on two metric measures, Euclidean norm and distance to the unity cube diagonal. Experimental results show that our solution is more efficient and that the two metric measures provide a more effective pruning mechanism, while compared to other indexing structures.
Children's Dreams: Notes from the Seminar Given in 1936-1940

NOTE TO THE ENGLISH EDITION vii ACKNOWLEDGMENTS ix PREFACE xi INTRODUCTION BY THE EDITORS xiii CHAPTER 1: On the Method of Dream Interpretation 1 CHAPTER 2: Seminar on Children's Dreams (Winter Term, 1936/37) 32 CHAPTER 3: Psychological Interpretation of Children's Dreams (Winter Term, 1938/39) 104 CHAPTER 4: Psychological Interpretation of Children's Dreams (Winter Term, 1939/40) 236 CHAPTER 5: Seminar on Children's Dreams (Winter Term, 1940/41) 379 APPENDIX: DREAM SERIES OF A BOY 469 BIBLIOGRAPHY 471 INDEX 479
Characteristics of Upper-Limb Pull Power and Power Endurance in Japanese Female Wrestlers

Abstract Naka, T, Kanno, M, Shidochi, S, Sakae, K, and Shima, N. Characteristics of upper-limb pull power and power endurance in Japanese female wrestlers. J Strength Cond Res 36(5): e82–e87, 2022—This study aimed at elucidating the characteristics of upper-limb physical strength required by female wrestlers by comparing the pull power, power endurance, and number of repetitions between female wrestlers at world and national levels. The subjects were 20 female wrestlers (8 Olympic- and/or world-class and 12 national-class top-ranking individuals). The subjects assumed a lying prone (face down) position on a bench and pulled a bar from arms length until contact with underside of bench. The weight load was increased in 10-kg steps and the upper-limb pull power was measured for each lift. To measure power endurance, the power to achieve the repetition maximum and the maximum number of repetitions were measured at the load at which they exerted their maximum power. All measurements were obtained using a GymAware power meter (Kinetic Performance Technology, Canberra, Australia). Pull power was greater at 20, 30, 40, and 50 kg in world-class wrestlers than in national-class wrestlers. No difference was observed in the time course of power endurance between the groups; however, the power in world-class wrestlers declined slower than in national-class wrestlers. Repetition maximum also tended to be higher in world-class wrestlers than in national-class wrestlers. Female wrestlers were observed to have greater upper-limb pull power in a range from low to high loads and were able to preserve repetition ability while maintaining high power. Their competitive performance seems to be related to these abilities.
Trichosporon Species Isolated from Guano Samples Obtained from Bat-Inhabited Caves in Japan

ABSTRACT Yeasts from caves have rarely been examined. We examined yeasts collected from bat guano samples from 20 bat-inhabited limestone and volcanic caves located in 11 prefectures in Japan. Of ∼700 yeast-like colonies, nine Trichosporon species were recovered from 15 caves. Two of these were known species, and the remaining seven are potentially novel species, based on molecular phylogenetic analyses. In addition to Trichosporon species, identifiable strains of eight ascomycetous yeasts and one basidiomycetous yeast were recovered at frequencies of 5 to 35%. Our findings suggest that Trichosporon spp. are the major yeast species in bat guano in Japan and that bat guano is a potentially rich source of previously undescribed yeast species.
A knee arthroscopy simulator: Design and validation

Many challenges exist when teaching and learning arthroscopic surgery, carrying a high risk of damaging the joint during the learning process. To minimize risk, the use of arthroscopy simulators allows trainees to learn basic skills in a risk-free environment before entering the operating room. A high-fidelity physical knee arthroscopy simulator is proposed to bridge the gap between surgeons and residents. The simulator is composed of modular and replaceable elements and can measure applied forces, instrument position and hand motion, in order to assess performance in real time. A construct validity study was conducted in order to assess the performance improvement of novices after practicing with the simulator. In addition, a face validity study involving expert surgeons indicated that the simulator provides a realistic scenario suitable for teaching basic skills. Future work involves the development of better metrics to assess user performance.
An application of utilizing the system-efficient-ESD-design (SEED) concept to analyze an LED protection circuit of a cell phone

An LED circuit of a cell phone is analyzed using the System-Efficient-ESD-Design (SEED) methodology. The method allows simulation of the ESD current path, and the interaction mechanisms between the clamp and the on-chip ESD protection circuit. The I-V curve and the non-linear behavior under high current pulses of every component including R, L, C, and ferrite beads are measured and modeled. By combining all of the component models, a complete circuit model is built for predicting the circuit behavior and damaging threshold at a given setting-voltage of a Transmission Line Pulser (TLP).
o-authorship networks and research impact : A social capital erspective ldon

The impact of research work is related to a scholar’s reputation and future promotions. Greater research impact not only inspires scholars to continue their research, but also increases the possibility of a larger research budget from sponsors. Given the importance of research impact, this study proposes that utilizing social capital embedded in a social structure is an effective way to achieve more research impact. The contribution of this study is to define six indicators of social capital (degree centrality, closeness centrality, betweenness centrality, prolific co-author count, team exploration, and publishing tenure) and investigate how these indicators interact and affect citations for publications. A total of 137 Information Systems scholars from the Social Science Citation Index database were selected to test the hypothesized relationships. The results show that betweenness centrality plays the most important role in taking advantage of non-redundant resources in a co-authorship network, thereby significantly affecting citations for publications. In addition, we found that prolific co-author count, team exploration, and publishing tenure all etwork centrality have indirect effects on citation count. Specifically, co-authoring with prolific scholars helps researchers develop centralities and, in turn, generate higher numbers of citations. Researchers with longer publishing tenure tend to have higher degree centrality. When they collaborate more with different scholars, they achieve more closeness and betweenness centralities, but risk being distrusted by prolific scholars and losing chances to co-author with them. Finally, implications of findings and recommendations for ssed. future research are discu
Scaling Polygon Adjacency Algorithms to Big Data Geospatial Analysis

Adjacency and neighbor structures play an essential role in many spatial analytical tasks. The computation of adjacenecy structures is non- trivial and can form a significant processing bottleneck as the total number of observations increases. We quantify the performance of synthetic and real world binary, first-order, adjacency algorithms and offer a solution that leverages Python's high performance containers. A comparison of this algorithm with a traditional spatial decomposition shows that the former outperforms the latter as a function of the geometric complexity, i.e the number of vertices and edges.
Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies

Traditionally, machine learning algorithms build classification models from positive and negative examples. Recently, one-class classification (OCC) receives increasing attention in machine learning for problems where the negative class cannot be defined unambiguously. This is specifically problematic in bioinformatics since for some important biological problems the target class (positive class) is easy to obtain while the negative one cannot be measured. Artificially generating the negative class data can be based on unreliable assumptions. Several studies have applied two-class machine learning to predict microRNAs (miRNAs) and their target. Different approaches for the generation of an artificial negative class have been applied, but may lead to a biased performance estimate. Feature selection has been well studied for the twoâclass classification problem, while fewer methods are available for feature selection in respect to OCC. In this study, we present a feature selection approach for applying one-class classification to the prediction of miRNA targets. A comparison between one-class and two-class approaches is presented to highlight that their performance are similar while one-class classification is not based on questionable artificial data for training and performance evaluation. We further show that the feature selection method we tried works to a degree, but needs improvement in the future. Perhaps it could be combined with other approaches.
Modeling Adaptative Social Behavior in Collective Problem Solving Algorithms

Collective problem solving can lead to the development of new methods and algorithms that can potentially contribute to novel Artificial Intelligence applications and tools. Socially-inspired optimization algorithms are a class of algorithms that aim at conducting a search over a large solution space using mechanisms similar to how humans solve problems in a social context. Several such algorithms exist in the literature, including adaptations of classical ones, such as Genetic Algorithms. These models, however, do not take into account a fundamental concept in human social systems: the individual ability to adapt problem-solving strategies as a function of the social context. In this paper, we propose and investigate an extension inside a socially-inspired model of collective problem solving which allows one to model agents with such adaptability. This extension is based on the concept of humans as ``motivated tacticians'' and it dictates how agents are to adapt their search heuristics according to their respective social context. We show how this rule can speed up the system's convergence to good solutions and improve the search space exploration. The results contribute towards the design of socially inspired computational systems for collective problem-solving.