Miracle-dz/UniFAR-FTUs huggingface dataset:
APPLICATION OF DIGITAL TOMOSYNTHESIS IN DIAGNOSING SPINAL TUBERCULOSIS – FIRST CLINICAL EXPERIENCE IN UKRAINE

Diagnosis of tuberculous spondylitis is based on the comparison of clinical-laboratory, bacteriological data and radiological methods. Digital tomosynthesis is a new method of X-ray diagnostics for performing with high-resolution limited-angle tomography at short-pulsed exposures in one pass of the tube with reconstruction of several hundred longitudinal sections of the research object without superposition of tissues. Possibilities of tomosynthesis are studied for various clinical situations. Aim of research. To study and apply the possibilities of digital tomosynthesis in the diagnosis of tuberculous spondylitis, conduct a comparative analysis with other radiological methods. Materials and methods. Digital tomosynthesis was performed for 95 patients with various spine diseases (select group 8.4 % with tuberculous spondylitis) at the domestic digital roentgen-diagnostic complex with the mode of digital tomosynthesis after performing digital projectional radiography of spine. Results and discussion. The benefits of tomosynthesis were shown and a comparative analysis with other visualization methods in the diagnosis of spondylitis was performed. Cases of the first clinical application of the method in Ukraine were demonstrated. Conclusion. Digital tomosynthesis of the spine is a new promising diagnostic tool by which you can obtain qualitative spine images in the form of numerical thin sections with no exaggeration effect. Results are comparable to CT data for detecting bone destruction at lower radiation load levels. Digital tomosynthesis provides better visualization of the small joints of the spine and the ability to evaluate each anatomical element of the vertebra at different depths, helps to detect pulmonary manifestation of tuberculosis.
An Active Learning Based Emoji Prediction Method in Turkish

Emoji usage has become a standard in social media platforms since it can condense feelings beyond short textual information. Recent advances in machine learning enable to write short messages with automatically detected emojis. However, the prediction of emojis for the given short message can be complicated, inasmuch as users can interpret different meanings beyond the intent of their designers. Therefore, an automatic extraction strategy of training samples cannot be convenient from the large volumes of unlabeled tweets. In this paper, we present an active learning method to evaluate the emoji prediction of a tweet with a limited number of labeled Turkish emoji dataset. To simulate a human-machine collaborative learning method, we train an initial classifier with this dataset and then we update the classifier by filtering related samples out from the large pool of unlabeled data. In the evaluation, we split 25\% randomly selected tweets combined with only one emoji from the generated dataset as a test case. Our active learning method has achieved 0.901 F1 score and outperforms other baseline supervised learning methods.
The skull vibration-induced nystagmus test as vestibular examination in children with sensorineural hearing loss

Objectives: Vibration of the mastoid can induce a nystagmus termed skull vibration induced nystagmus (SVIN). This recent first-line indicator of asymmetrical vestibular function quickly reveals a vestibular asymmetry in unilateral vestibular lesion patients and is used as a vestibular Weber Test. We aimed to assess the usefulness and tolerance of the SVIN test (SVINT), in children with moderate to profound sensorineural hearing loss. Methods: A prospective monocentric study of children with moderate to profound unilateral or bilateral deafness, was conducted between October 2017 and May 2018. The SVINT was performed on each mastoid and vertex, first and double-blind by 2 clinicians, separately; the Modified Clinical Test of Sensory Interaction in Balance (CTSIB-M), the rotary chair testing, the video Head Impulse Test (VHIT) and the cervical Vestibular Evoked Myogenic Potentials (cVEMP) were proceeded the same day, blinded from the SVINT result. The parents' written consent was collected. Results: A total of 23 children, aged from 7 months to 14 years were included. Five had unilateral and 18 bilateral deafness. The main etiologies were genetic non-syndromic (5), genetic syndromic (3), malformation (6), unknown (4), CMV (2), meningitis (2), neonatal hypoxia (1). Sensitivity and specificity were respectively 46% and 100%, Negative and positive predictive values were 59% and 100%, concordant coefficient kappa was 1. Clinical tolerance was good even in young children. Conclusion: The SVINT is a fast and easy procedure to assess vestibular function as a bedside examination. Compliance is good even in infants.
Automatic Synset Extraction from Text Documents Using a Graph-Based Clustering Approach via Maximal Cliques Finding

—Semantic relations between words like synsets are used in automatic ontology production which is a strong tool in many NLP tasks. Synset extraction is usually dependent on other languages and resources using techniques such as mapping or translation. In our proposed method, synsets are extracted merely from text and corpora. This frees us from the need for special resources including Word-Nets or dictionaries. The representation model for words of corpus is based on Vector Space model and the most similar words to each are extracted based on common features count (CFC) using a modified cosine similarity measure. Furthermore, a graph-based soft clustering approach is applied to create clusters of synonymous words. To examine performance of the proposed method, Extracted synsets were compared to other Persian semantic resources. Results show an accuracy of 80.25%, which indicates improvement in comparison to the 69.5% accuracy of pure clustering by committee method.
Selection and Experimentation of the Best Hybrid Green Composite Using Advanced MCDM Methods for Clean Sustainable Energy Recovery: A Novel Approach

Relevant and appropriate selection of best hybrid material is a challenging task for the recent industries. The mandatory criterion is to deal with the enhanced productivity with minimum cost. Therefore, this paper highlights on the comparative study between the advanced multi-criteria approaches namely ARAS, MABAC, COPRAS and MOOSRA methods for the selection of the best hybrid composite material using aluminum (Al) as base material varying different reinforcement weights and recycling with various industrial wastes by stir casting. Al/WCE gives superior tribomechanical properties at lower cost than any other reinforcements. These advanced MCDM methods are applied, based on the properties and attributes of the hybrid composites, to compare between the computational and experimental results. The results exactly corroborate with the previous research results, which authenticate the expediency of these methods during the solving of complex hybrid material selection problems for sustainable energy recovery. Out of 48 different samples, A30 is obtained to be the best sample by ARAS approach (rank 1) which is Al+Al2O3 at 12.5%wt. addition. A24 is ranked 2 which is heat treated 12.5%wt. WCE. But the same A30 is obtained to be rank 5 and A24 is obtained to be rank 1 by MABAC method, A30 is obtained to be rank 2 and A24 to be rank 1 by COPRAS method, and A30 is calculated to be rank 1 and A24 to be rank 11 by MOOSRA method. A24 is also obtained to be the best hybrid composite as per the experimentation. This paper also aims for proper recovering of environmental friendly renewable energy for the society by fabricating the best hybrid green composite for sustainable development.
State space reparametrization for approximating nonlinear models in Bayesian state estimation

Recursive Bayesian state estimation is a powerful methodology which is useful for the integration of data about a process of interest while considering all the sources of uncertainty which are present in the observations and in modeling inaccuracies. However, in its general form it is intractable and approximations need to be made in order to use it in real life applications. The most widely used algorithm to perform recursive state estimation is the Kalman filter, which assumes that the probability distributions that it propagates are Gaussian and that the measurement and dynamical processes are linear. If these assumptions are satisfied, the Kalman filter is optimal. In most applications, however, this proves to be an oversimplification, due to which several techniques have arisen to handle model non-linearity and different types of distributions. In this thesis, a novel method for the estimation of distributions with nonlinear dynamical and measurement models is presented, which uses a reparametrization of the state space of the distributions in order to exploit the linear properties of the Kalman filter. This involves the mapping of the distribution into a different space, and a subsequent approximation as a Gaussian distribution. An analysis of the adequacy of this transformation is presented, which shows that it is a valid approach in a number of practically interesting filtering problems. The proposed approach is applied to the estimation of the state of Earth-orbiting objects, as it is a challenging estimation scenario which can benefit from the use of filter. Space situational awareness is increasingly important as near-Earth space becomes cluttered with satellites and debris. In this work, the sensors that are most commonly used to track objects in orbit, radars and telescopes, are modeled and a filter based on the previously discussed ideas is proposed. Finally, a multi-object estimation filter based on a recent estimation framework is presented which propagates high amounts of information while maintaining low computational complexity. This is important as there are many challenges to tracking large amounts of orbiting objects in a principled way using ground-based sensors, and naturally extends the single object filter described above to the multi-sensor, multi-object case.
Safety and Effectiveness of Long Acting Injectable Antipsychotic Paliperidone Palmitate Treatment in Schizophrenics : A 24-Week Open-Label Study

ObjectivesZZWe investigated the effectiveness and safety when treated in schizophrenics with paliperidone palmitate, a long acting injectable antipsychotic. MethodsZZThis was a 24-week open-label study, performed at one center in Korea. The eligible patients with schizophrenia diagnosed by Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria were enrolled. Patients received long-acting paliperidone palmitate injection (234 mg, baseline; 156 mg, week 1 ; then once 4 weeks flexible dosing). Effectiveness assessments were measured by the Positive and Negative Syndrome Scale (PANSS), The Clinical Global Impression Severity Scale (CGI-S), The Personal and Social Performance (PSP) at baseline, week 1, every 4 weeks untill 24 weeks or endpoint. Safety assessments were measured by The Extrapyramidal Symptom Rating Scale (ESRS), body weight (BW) and incidence of adverse events. Oral antipsychotics were stopped or tapered off within next 14 days. ResultsZZOf 20 patients recruited, 9 patients (45%) completed the study. Paliperidone palmitate produced a significant improvement in PANSS total score from baseline to endpoint. The response rate was 75% [mean change (± SD) -25.9 ± 14.4, all p < 0.001]. The CGI-S and PSP total scores significantly improved during 24 weeks (All p < 0.001). Eighty percent of patients reported adverse events and most common adverse events (≥ 10%) in paliperidone palmitate were anticholinergic adverse event, extrapyramidal symptoms, weight gain, akathisia, insomnia, headache, agitation, anxiety and GI trouble. ESRS score is not statistically significant, but tends to get better at the end of the study when compared to baseline. ConclusionsZZOur study results demonstrated maintained effectiveness and safety of paliperidone palmitate treatment in schizophrenics. And provides both clinicians and patients with a new choice of treatment that can improve the outcome of long term therapy. Their potential effectiveness and safety should be better addressed by future randomized-controlled trials.
La plate-forme LinguaStream : un outil d’exploration linguistique sur corpus

À travers la présentation de la plate-forme LinguaStream, nous présentons certains principes méthodologiques et différents modèles d’analyse pouvant permettre l’articulation de traitements sur corpus. Nous envisageons en particulier les besoins nés de perspectives émergentes en TAL telles que l’analyse du discours.
Relationships of Natural Enemies and Non-prey Foods

Glucophagy. - The Functions of Non-Prey Foods in the Diets of Entomophagous Species. - The Sugar Feeders. - Floral Nectar. - Extrafloral Nectar. - Honeydew. - Pollinivory. - The Pollen Feeders. - Adaptations to Pollen feeding. - Pollen Nutrition and Defense. - Granivory. - The Seed Feeders. - Adaptations to Granivory. - Seed Nutrition and Defense. - Seed-Associated Food Bodies. - Seed Preferences of Natural Enemies. - Fungi and Microorganisms. - Mycophagy. - Symbioses with Microorganisms. - Applied Aspects of Non-Prey Foods for Natural Enemies. - Non-Prey Foods and Biological Control of Arthropods. - Plant-Incorporated Pest Resistance and Natural Enemies. - Biological Control of Weed Seeds in Agriculture Using Omnivorous Insects. - Conclusions and the Relative Quality of Non-Prey Foods for Natural Enemies.
Cytomegalovirus Infection in a Patient With Leukocyte Adhesion Deficiency Type 1

Leukocyte adhesion deficiency type 1 (LAD-1) is a rare autosomal recessive immunodeficiency disorder, characterized by recurrent bacterial and fungal infections without pus formation. Herein, we report a case of LAD-1 that developed into gastrointestinal cytomegalovirus (CMV) disease and manifested with persistent abdominal pain and bloody diarrhea. Although the presence of concurrent gastrointestinal CMV infection with LAD-1 is a rare condition, this case highlights the need for further research to evaluate the complex mechanisms between LAD-1 and CMV occurrence.
Studies on the M echanism of R istocetin-induced Platelet Aggregation

AN ANTIBIOTIC derived from Nocardia lurida,aggregates human platelets. ’ This aggregation requires a plasma cofactor which is reduced in the plasma of patients with von Willebrand’s disease.2� The purpose of this study was to examine the platelet response to ristocetin with particular regard to adenine nucleotide metabolism in order to understand the mechanism of this aggregation.
Going online: infrastructures and services for Internet delivered vocational education

Online learning offers attractive ways to enhance the flexible delivery of vocational education and training. Online learning facilitates communications between students and tutors, enables peer group communications between students, allows frequent updating of study materials, includes access to online resources worldwide, and it may be integrated with many kinds of interactive multimedia and computer assisted learning. Online learning has special attractions for work place based training and corporate training. Often an organisation has well developed local and wide area network communications for purposes of its business operations. In such cases online learning may offer good economies and high effectiveness with respect to use of existing workstations, servers and network equipment, whilst existing online documentation may provide reference material for training programs. However, online learning and Internet based delivery require the development of, or access to, new kinds of infrastructures and services. What are these services? What’s the best way to obtain them? This presentation considers these questions, using some Australian and international examples to illustrate the major kinds of options for organisations and businesses.
Low-power CMOS rectifier and Chien search design for RFID tags

Automotive sensors implemented in radio frequency identification (RFID) tags can correct data errors by using BCH (Bose-Chaudhuri-Hocquenghem) decoder, for which Chien search is a computation-intensive key step. Existing low power approaches have drastically degrading performance for multiple-bit-correcting codes. This thesis presents a novel approach of using register-transfer-level (RTL) power management in the search process, leading to significant power savings for BCH codes with higher correction capability. An example for the (255, 187, 9) BCH code has been implemented in 0.18um CMOS technology. We also consider ways of conserving power for the sole power harvester on a passive tag the rectifier. With ST CMOS 90nm technology, a three-stage differential-drive CMOS rectifier is designed by using a new transistor scaling method and a piece-wise linear matching technique. For the standard 915MHz band, simulation indicates high power conversion efficiency (PCE) of 74% and a significantly increased output power of 30.3 uW at 10 meters.
Statistical methods to improve efficiency in composite endpoint analysis

Background: Composite endpoints are recommended in rare diseases to increase power and/or to sufficiently capture complexity. Often, they are in the form of responder indices which contain a mixture of continuous and binary components. Analyses of these outcomes typically treat them as binary, thus only using the dichotomisations of continuous components. The augmented binary method offers a more efficient alternative and is therefore especially useful for rare diseases. Previous work has indicated the method may have poorer statistical properties when the sample size is small. Here we investigate small sample properties and implement small sample corrections. Methods: We re-sample from a previous trial with sample sizes varying from 30 to 80. We apply the standard binary and augmented binary methods and determine the power, type I error rate, coverage and average confidence interval width for each of the estimators. We implement Firth’s adjustment for the binary component models and a small sample variance correction for the generalized estimating equations, applying the small sample adjusted methods to each sub-sample as before for comparison. Results: For the log-odds treatment effect the power of the augmented binary method is 20-55% compared to 12-20% for the standard binary method. Both methods have approximately nominal type I error rates. The difference in response probabilities exhibit similar power but both unadjusted methods demonstrate type I error rates of 6–8%. The small sample corrected methods have approximately nominal type I error rates. On both scales, the reduction in average confidence interval width when using the adjusted augmented binary method is 17–18%. This is equivalent to requiring a 32% smaller sample size to achieve the same statistical power. Conclusions: The augmented binary method with small sample corrections provides a substantial improvement for rare disease trials using composite endpoints. We recommend the use of the method for the primary analysis in relevant rare disease trials. We emphasise that the method should be used alongside other efforts in improving the quality of evidence generated from rare disease trials rather than replace them.
Soccer-Specific Agility: Reliability of a Newly Developed Test and Correlates of Performance

Abstract Altmann, S, Neumann, R, Ringhof, S, Rumpf, MC, and Woll, A. Soccer-specific agility: reliability of a newly developed test and correlates of rerformance. J Strength Cond Res 36(5): 1410–1416, 2022—The purpose of this study was to examine the reliability of a newly developed soccer-specific agility test and to determine the correlation of different performance parameters with overall agility performance as measured by the total time. Twenty-two amateur soccer players (age, 25.1 ± 4.0 years) completed a newly developed agility test on 2 separate occasions. The test required the players to conduct 2 changes of direction, one in a preplanned manner and one in response to a stimulus that was provided by a live tester who performed different soccer-specific passing movements. Regarding reliability, very large Pearson's r and intraclass correlation coefficient values were obtained for the total time and the movement time, with moderate and large-to-very large values being evident for the response time and the decision-making time, respectively. The usefulness to detect moderate performance changes was rated as “good” for the total time, the response time, and the movement time. The decision-making time was rated as “OK. ” The movement time showed a very large relationship with overall agility performance as measured by the total time, while the response time and the decision-making time showed small to moderate relationships. In conclusion, the newly developed soccer-specific agility test is a reliable tool to assess the agility performance of soccer players and can be used by coaches and researchers to detect moderate performance changes. Because physical aspects, represented by the movement time, showed the greatest influence on total agility performance, they are advised to be included in soccer-specific agility training programs of amateur players.
Sourcing flexibility with uncertain costs

Abstract This paper proposes a real-options model in which a client firm can reversibly choose the mode of supply between outsourcing and in-house production. The state variable of the model is defined as the difference between the current operational cost and the alternative one, and is assumed to evolve according to an arithmetic Brownian motion. The model is simple and flexible, and can encompass different situations. The effect of reversibly choosing the mode of supply (or full sourcing flexibility) is far from negligible: our numerical illustrations suggest that it substantially increases the option values over the situation with partial flexibility (about 15%–20% for a typical parameter configuration); the expected times until shifting also change substantially. Moreover, it is shown that: (i) an increase of volatility has an asymmetrical effect on shifting the supplying mode; (ii) the real-option associated with full sourcing flexibility reduces the impact of the sunk expenditure on firms’ decisions, favouring the shift in any supplying mode.
Foreign body removal in children and adults: review of available techniques and emerging technologies

In adults, clinical manifestations of foreign body aspiration range from sudden onset of asphyxia and respiratory failure due to central airway obstruction to subacute and even chronic worsening of non-specific pulmonary complaints. Given a wide range of often non-specific clinical symptoms associated with foreign body aspiration, high index of suspicion is required to avoid delay in diagnosis. In this review article we describe risk factors, clinical presentation, evaluation and management of foreign body aspiration in adult and pediatric patient populations. We will review several bronchoscopic techniques for foreign body extraction and describe the use of a flexible cryoprobe and its novel application in pediatric populations to aid in foreign body removal. Finally we will highlight potential complications that may be encountered during foreign body removal.