Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use

Digital pathology is a novel technology currently being implemented world wide. This thesis summarizes four years of HCI and visualization research and provides an overall understanding of designing workstation software for pathologists. A human-centered design approach has been used to create a number of design interventions.The thesis covers three main areas of inquiry: Understanding pathologists’ problem solving processes during diagnostic review, how to build different digital tools to support those processes, and how to incorporate digital image analysis algorithms when building these tools. The thesis consist of a kappa that provides background and context, to the remaining appended papers. The papers describe studies covering, pathologists’ navigation strategies in gigapixel sized images, the usability of different input devices and structuredreporting interfaces, how principles from volume rendering can be used for multi-scale images, and how make to use of machine learning algorithms to support pathologists’ diagnostic processes.Together, these design projects show how digital pathology images can be used to create tools to make pathologists more productive. This will make it possible for pathology laboratories to replace their diagonstic workflow using glass slides, with a workflow based on digital images.
Automated Arabic Text Categorization Using SVM and NB

Text classification is a supervised learning technique that useslabeled training data to derive a classification system (classifier) and then automatically classifies unlabelled text data using the derived classifier. In this paper,we investigate Naive Bayesian method (NB) andSupport Vector Machine algorithm (SVM) on different Arabic data sets. The bases of our comparison are the most popula r text evaluation measures. The Experimental results against different Arabic text categorization data sets reveal that SVM algorithm outperforms theNB with regards to all measures.
Visual object recognition for robot tasks in real-life scenarios

On the way to autonomous robotic systems, key issues are object detection and recognition. In this paper, we aim at robustly detecting and recognizing different objects in real-life scenarios from a visual input when robot manipulation is the goal task. For that, and based on the human vision system performance, the system computes object's colour, motion and shape cues and combines them in a probabilistic manner to accurately achieve object identification and recognition task. More-over, a Graphical Processing Unit (GPU) is used to fulfill the requirement for real-time visual data processing. In addition, it has been implemented and tested on a robotic platform.
The simulation results of the high-pass and low-pass filter effect on the quality of micropotential recordings on the electrocardiogram

The paper presents the results of investigation on the distortions of the fine structure of the heart biopotentials caused by filtering circuits of medical diagnostic equipment. The method of computer simulation is used. Some programs for simulating different types of filters (Bessel, Chebyshev, Butterworth, and elliptic) are developed using LabView software. The artificially generated electrocardiograms (ECG) and high-resolution signals recorded with the equipment based on high-stable low-noise nanoelectrodes in the band from 0 to 150 Hz are used as test signals. Filters used in the ECG equipment may change the amplitude, wavelength, and displacement of (ECG) intervals. When using lowpass filters, small frequency cutoff value makes the low-amplitude potentials of 5-20 mV virtually invisible on the ECG. The higher the order of the filters, the greater is the distortion regardless of the type of filters. The amplitude ripple of filters in the passband and a nonlinear character of phase response contribute to cardiac signal disturbance equal to the informative low-amplitude of the heart biopotential by the order of magnitude. In some cases, application of diagnostic criteria to the filtered signal can produce erroneous results. The data analysis shows that the amplitude of the signal distortion due to time delays and frequency response for different types of filters range from 2 to 15%, which is comparable to the amplitudes of the ventricular late potential which amount to 2% of the amplitude of the cardiac signal.
Accuracy of fine needle aspiration cytology from breast masses in Thailand.

OBJECTIVE To evaluate the accuracy and diagnostic performance of fine needle aspiration FNA cytology in diagnoses of breast masses. METHODS Women who had FNA diagnoses for breast masses and underwent subsequent histopathologic evaluation during January 2003-December 2006 were accessed from the archive of the Anatomical Pathology Department of our institution. Cytologic diagnoses were classified as unsatisfactory, benign, atypical probably benign, suspicious probably malignant, and malignant, and were compared to the histopathologic diagnoses obtained from core needle biopsy, excisional biopsy, or mastectomy to give an assessment of the diagnostic performance of FNA. RESULTS A series of 190 breast masses were identified during the study period. The FNA cytological diagnosis was unsatisfactory due to inadequate specimens in eight cases (4.2%). The diagnoses in the remaining 182 cases were: benign lesions in 98 (53.9%); suspicious for malignancy in 31 (17.0%); and malignant in 53 (29.1%). From the subsequent histopathologic diagnoses, 6/98 cases of benign cytology turned out to be malignant lesions (false negatives); 22/31 cases of suspicious cytology were truly malignant while the other nine were benign; and only 1/53 with malignant cytology was benign (false positive), the lesion being a fibroadenoma . The overall accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 91.2% (95% confidence interval (CI), 87.6%-94.8%), 92.5% (95% CI, 88.7%-96.3%), 90.2% (95% CI, 85.9%-94.5%), 88.1% (95% CI, 83.4%-92.8%) and 93.9% (95% CI, 90.4%-97.4%), respectively. CONCLUSIONS FNA cytology is highly accurate for diagnosis of breast masses. However, the clinician should correlate FNA cytological results with physical examination and imaging findings to prevent false negative and false positive events and to obtain optimal management for their patients.
Regulatable Ras Activity Is Critical for Proper Establishment and Maintenance of Polarity in Aspergillus fumigatus

ABSTRACT Here we show that expression of a constitutively activated RasA allele, as the sole source of Ras activity, revealed novel Ras-induced phenotypes, including excessive vacuolar expansion and spontaneous lysis of hyphal compartments. These findings highlight the requirement for balanced Ras activity in the establishment and maintenance of polarized growth in filamentous fungi.
Influence of immersion in water on muscle function and breathing pattern in patients with severe diaphragm weakness.

STUDY OBJECTIVE Dyspnea is a common symptom in patients with diaphragm weakness or paralysis. In particular, dyspnea may be aggravated by immersion. We hypothesized that immersion to the neck in water would decrease vital capacity and consequently increase the demand/capacity ratio of the respiratory muscles. DESIGN Case series study. SUBJECTS Seven patients with profound diaphragm weakness or paralysis proven by phrenic nerve stimulation, and seven normal control subjects. INTERVENTION AND MEASUREMENTS We measured land-based and water-based spirometry, breathing pattern, and mouth occlusion pressures. RESULTS We found that the patients could preserve minute ventilation despite a fall in vital capacity from a mean of 2.3 to 1.3 L, but this required an increased respiratory rate (RR) [21.4 to 26.7 breaths/min, p = 0.018]. We used mouth occlusion pressure 100 ms after the start of inspiration (P(0.1)) as an estimation of the drive to breath; P(0.1) increased from 1.4 to 3.9 cm H(2)O (p = 0.018) without significant change in tidal volume. CONCLUSIONS Relative to control subjects, patients with diaphragm weakness have augmented drive to breathe in order to attempt to defend gas exchange. This conclusion is implied by the presevered minute ventilation with immersion, the augmented RR, and elevated P(0.1) relative to maximum static inspiratory pressure.
Bridging waiting times on web pages

High-speed Internet connectivity makes browsing a convenient task. However, there are many situations in which surfing the web is still slow due to limited bandwidth, slow servers, or complex queries. As a result, loading web pages can take several seconds, making (mobile) browsing cumbersome. We present an approach which makes use of the time spent on waiting for the next page, by bridging the wait with extra cached or preloaded content. We show how the content (e.g., news, Twitter) can be adapted to the user's interests and to the context of use, hence making mobile surfing more comfortable. We compare two approaches: in time-multiplex mode, the entire screen displays bridging content until the loading is finished. In space-multiplex mode, content is displayed alongside the requested content while it loads. We use an HTTP proxy to intercept requests and add JavaScript code, which allows the bridging content from websites of our choice to be inserted. The approach was evaluated with 15 participants, assessing suitable content and usability.
Feature-rich sub-lexical language models using a maximum entropy approach for German LVCSR

German is a morphologically rich language having a high degree of word inflections, derivations and compounding. This leads to high out-of-vocabulary (OOV) rates and poor language model (LM) probabilities in the large vocabulary continuous speech recognition (LVCSR) systems. One of the main challenges in the German LVCSR is the recognition of the OOV words. For this purpose, data-driven morphemes are used to provide higher lexical coverage. On the other hand, the probability estimates of a sub-lexical LM could be further improved using feature-rich LMs like maximum entropy (MaxEnt) and class-based LMs. In this work, for a sub-lexical level German LVCSR task, we investigate the use of the multiple morpheme level features as classes for building class-based LMs that are estimated using the state-of-the-art MaxEnt approach. Thus, the benefits of both the MaxEnt LMs and the traditional class-based LMs are effectively combined. Furthermore, we experiment the use of Maximum a-posteriori adaptation over the MaxEnt class-based LMs. We show consistent reductions in both the OOV recognition error rate and the word error rate (WER) on a German LVCSR task from the Quaero project, compared to the traditional class-based and theN -gram morpheme based LM. Index Terms: open-vocabulary, German LVCSR, features, maximum entropy, class-based
Preliminary survey of medicinal plant species in Gombe metropolitan, Nigeria

The use of locally available plant parts for disease treatment is common among non-industrialized societies, because of its affordability over pharmaceutical products. Most herbal medicines are highly effective than industrial ones aside having less harmful side effect if properly used. Therefore, it is significant to determine the possible medicinal plant species found around the local community of Gombe metropolis. Questionnaire and oral interview were utilized for data collection on plants species, their uses, parts and preparation method. Different respondent used for the study include herbalist, old people, farmers and others were targeted. The data were statistically analyzed using SPSS. The total number of medicinal plants recorded during the study was 33 species under 25 families. Results of the study showed that the various parts of these plants are used for curing different types of diseases including malaria, snake bite and irregular menstruation. Fascinatingly, the leaves gave the highest percentage of 43.5% of the total parts, followed by the bark at 20.5%. In recommendation, government needs to ensure safety and efficiency in the use of those medicinal plants through a strategic plan.
Video Capture Service in the Intelligent Transportation System based on Cloud Computing

networking has significant potential to enable many different applications related to traffic safety and traffic efficiency within Intelligent Transportation System. In this paper, cloud-based vehicular network architecture is proposed such that the vehicles can share computation resources, storage resources and bandwidth resources. The proposed architecture includes four types of cloud: a vehicular cloud, a roadside cloud, a cellular cloud and a central cloud. Then, a video capture service based on the proposed architecture is presented. Vehicular cloud is used to provide a video capture service of specific location, moving vehicle or route. It sends the captured video to a customer and the other available cloud to be used for further investigation. Resource allocation and management algorithms are proposed to handle the continuity of video capture with minimum service disruption. The proposed service is implemented using a test bed.
Legionella thermalis sp. nov., isolated from hot spring water in Tokyo, Japan

Strain L‐47T of a novel bacterial species belonging to the genus Legionella was isolated from a sample of hot spring water from Tokyo, Japan. The 16S rRNA gene sequences (1477 bp) of this strain (accession number AB899895) had less than 95.0% identity with other Legionella species. The dominant fatty acids of strain L‐47T were a15:0 (29.6%) and the major ubiquinone was Q‐12 (71.1%). It had a guanine‐plus‐cytosine content of 41.5 mol%. The taxonomic description of Legionella thermalis sp. nov. is proposed to be type strain L‐47T (JCM 30970T = KCTC 42799T).
High‐Throughput Screening of Gene Function in Stem Cells Using Clonal Microarrays

We describe a microarray‐based approach for the high‐throughput screening of gene function in stem cells and demonstrate the potential of this method by growing and isolating clonal populations of both adult and embryonic neural stem cells. Clonal microarrays are constructed by seeding a population of cells at clonal density on micropatterned surfaces generated using soft lithographic microfabrication techniques. Clones of interest can be isolated after assaying in parallel for various cellular processes and functions, including proliferation, signal transduction, and differentiation. We demonstrate the compatibility of the technique with both gain‐ and loss‐of‐function studies using cell populations infected with cDNA libraries or DNA constructs that induce RNA interference. The infection of cells with a library prior to seeding and the compact but isolated growth of clonal cell populations will facilitate the screening of large libraries in a wide variety of mammalian cells, including those that are difficult to transfect by conventional methods.
Estimates of Employment C Estimates with 5 Displacement Categories 38

Rates of job loss among older workers are surprisingly high and have converged with the job loss rates of younger workers over the past 35 years. For the cohort born between 1948 and 1953, XX percent lost at least one job between the years 2002 and 2016. Displaced older workers typically have high predisplacement job tenure, more di culty nding a new job, and fewer years in which to make up for lost earnings or savings. Consequently, the economic cost of displacement for older workers is potentially ruinous. These costs vary by household charicteristics. This paper examines how the retirement decisions of displaced workers are a ected by spousal earnings and household assets. My ndings show.
DSM-5 and the elimination of the major depression bereavement exclusion

As the American Psychiatric Asso­ ciation approved the final version of DSM­5, the Chair of the DSM­IV Task Force Allen Frances declared it to be the ‘saddest moment’ in his career, saying that the final version included ‘changes that seem clearly unsafe and scientifically unsound’. He went on in a blog (Frances, 2012) to list the 10 most potentially harmful changes, amongst which was the deci­ sion to eliminate the grief exclusion criterion from the definition of major depression in DSM­IV, arguing that the loss of the criterion is likely to lead to ‘medicalizing and trivializing our expectable and necessary emotional reactions to the loss of a loved one and substituting pills and superficial medical rituals for the deep consolations of family, friends, religion, and the resiliency that comes with time and the acceptance of the limitations of life’. As a proposal, this was so controversial that it pre­ cipitated a statement justifying this decision from Kenneth Kendler, published on the DSM­5 website (Kendler, 2012). What was a proposal is now an approved change, the implica­ tions of which we will have to deal with until the next DSM edition. To examine the impact of this change it is first useful to consider the exact criterion that has been removed. This is as follows: ‘The symptoms are not better accounted for by Bereavement, i.e., after the loss of a loved one, the symptoms persist for longer than 2 months or are characterized by marked functional impairment, morbid preoccupation with worthlessness, suicidal ideation, psychotic symptoms, or psychomotor retardation’. Kendler argues that there are many problems with the criterion and that the best solution was to remove it. To consider the implications of abandoning the criterion, the follow­ ing questions have to be asked. First, has evidence accumulated that the cri­ terion was useful and valid? Second, did clinicians understand and use the concept as it was designed? Third, was it useful in research settings? Fourth, are there administrative con­ sequences of abandoning the exclu­ sion, such as implications for insurance or private health care schemes?
Glycophorin B is the erythrocyte receptor of Plasmodium falciparum erythrocyte-binding ligand, EBL-1

In the war against Plasmodium, humans have evolved to eliminate or modify proteins on the erythrocyte surface that serve as receptors for parasite invasion, such as the Duffy blood group, a receptor for Plasmodium vivax, and the Gerbich-negative modification of glycophorin C for Plasmodium falciparum. In turn, the parasite counters with expansion and diversification of ligand families. The high degree of polymorphism in glycophorin B found in malaria-endemic regions suggests that it also may be a receptor for Plasmodium, but, to date, none has been identified. We provide evidence from erythrocyte-binding that glycophorin B is a receptor for the P. falciparum protein EBL-1, a member of the Duffy-binding-like erythrocyte-binding protein (DBL-EBP) receptor family. The erythrocyte-binding domain, region 2 of EBL-1, expressed on CHO-K1 cells, bound glycophorin B+ but not glycophorin B-null erythrocytes. In addition, glycophorin B+ but not glycophorin B-null erythrocytes adsorbed native EBL-1 from the P. falciparum culture supernatants. Interestingly, the Efe pygmies of the Ituri forest in the Democratic Republic of the Congo have the highest gene frequency of glycophorin B-null in the world, raising the possibility that the DBL-EBP family may have expanded in response to the high frequency of glycophorin B-null in the population.
Non-destructive evaluation (NDE) of aerospace composites: acoustic microscopy

Abstract: This chapter presents two case studies on the use of acoustic microscopy for the characterization of carbon fiber-reinforced epoxy composites (CFRP) and aramid fiber composites (AFRP). The emphasis is on impact damage ranging from hard impacts (bullets, micrometereorites, hail, etc.) to soft impacts (bird strike) typically encountered in aerospace applications. The chapter ends with challenges and future trends, such as the embedding of sensors in composite panels.
Connected

—Several applications for connected cars leverage the mobility information periodically broadcasted by cars through standard vehicle-to-vehicle messages. We propose an architecture in which each car generates and sends reports including the messages received from its neighbors to the access network infrastructure. The infrastructure collects and stores received reports through multiple blockchains, each of them referring to a different geographical area. A smart contract is then executed to verify the spatial coherence among the received mobility data. We implement a proof-of-concept of such a solution using Hyperledger Fabric
FPGA implementation of block truncation coding algorithm for gray scale images

This paper presents a Field Programmable Gate Array (FPGA) implementation for video compression using a Block Truncation Coding (BTC) image compression technique. The implementation exploits the inherent parallelism of the BTC algorithm to provide efficient algorithm-to-architecture mapping. The Xilinx VirtexE BTC implementation has shown to provide 20.5 /spl times/ 10/sup 6/ of pixels per second, which is about 3000 times faster than an Intel Pentium III 550 MHz processor.
ANTIFUNGAL EFFECTS OF SOME OXADIAZOLE DERIVATIVES ON PATHOGENIC MOLDS

Some oxadiazole derivatives were tested in vitro against Aspergillus parasiticus, Aspergillus flavus, Aspergillus niger, Fusarium solani, Fusarium moniliforme and Stachybotrys chartarum. All compounds showed the highest antifungal activity against S. chartarum. Among these compounds (3a-j), compounds 3a, 3c, 3d, 3e, 3i, 3j exhibited the same level of antifungal activity against all tested mold species. Compounds 3a, 3c, 3d, 3e possess 4-methoxyphenoxymethyl moiety on oxadiazole ring, whereas compounds 3i and 3j carry 2-cyclohexylethyl moiety on oxadiazole ring.
Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition

Recurrent neural network language models (RNNLMs) have recently shown to outperform the venerable n-gram language models (LMs). However, in automatic speech recognition (ASR), RNNLMs were not yet used to directly decode a speech signal. Instead, RNNLMs are rather applied to rescore N-best lists generated from word lattices. To use RNNLMs in earlier stages of the speech recognition, our work proposes to transform RNNLMs into weighted finite state transducers approximating their underlying probability distribution. While the main idea consists in discretizing continuous representations of word histories, we present a first implementation of the approach using clustering techniques and entropy-based pruning. Achieved experimental results on LM perplexity and on ASR word error rates are encouraging since the performance of the discretized RNNLMs is comparable to the one of n-gram LMs.
A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora

We present a geometric view on bilingual lexicon extraction from comparable corpora, which allows to re-interpret the methods proposed so far and identify unresolved problems. This motivates three new methods that aim at solving these problems. Empirical evaluation shows the strengths and weaknesses of these methods, as well as a significant gain in the accuracy of extracted lexicons.
Weaning of infants

The WHO 2001 global recommendation is a one size fits all approach to weaning, an approach which may not take sufficient account of the special needs of some infants and fails to allow for the different problems encountered in the industrialised nations compared with economically developing countries. For the healthy normal birth weight full term infant born in an industrialised country, current research supports the benefit of exclusive breast milk feeding until 4–6 months. Evidence of harm through introducing solid food to these infants earlier than this is weak. Infants should be managed individually according to their needs.