Miracle-dz/UniFAR-FTUs huggingface dataset:
Multimodal Deep Learning Framework for Mental Disorder Recognition

Current methods for mental disorder recognition mostly depend on clinical interviews and self-reported scores that can be highly subjective. Building an automatic recognition system can help in early detection of symptoms and providing insights into the biological markers for diagnosis. It is, however, a challenging task as it requires taking into account indicators from different modalities, such as facial expressions, gestures, acoustic features and verbal content. To address this issue, we propose a general-purpose multimodal deep learning framework, in which multiple modalities - including acoustic, visual and textual features - are processed individually with the cross-modality correlation considered. Specifically, a Multimodal Deep Denoising Autoencoder (multi- DDAE) is designed to obtain multimodal representations of audio-visual features followed by the Fisher Vector encoding which produces session-level descriptors. For textual modality, a Paragraph Vector (PV) is proposed to embed the transcripts of interview sessions into document representations capturing cues related to mental disorders. Following an early fusion strategy, both audio-visual and textual features are then fused prior to feeding them to a Multitask Deep Neural Network (DNN) as the final classifier. Our framework is evaluated on the automatic detection of two mental disorders: bipolar disorder (BD) and depression, using two datasets: Bipolar Disorder Corpus (BDC) and the Extended Distress Analysis Interview Corpus (E-DAIC), respectively. Our experimental evaluation results showed comparable performance to the state-of-the-art in BD and depression detection, thus demonstrating the effective multimodal representation learning and the capability to generalise across different mental disorders.
Association of Skin Pigmentation and Risk of Hearing Loss: A Homogenous Race Study

Melanocytes are melanin-producing neural crest-derived cells located in many parts of human body including cochlea. Melanin is a dark pigment primarily responsible for skin color. Many studies on hearing impaired individuals across race/ethnicity found dark skinned individuals have lower risk of hearing loss. The present study investigated the association of skin pigmentation and risk of cochlear hearing loss for normal hearing adults within same racial population. Relevant cross-sectional data from the students of AWH special college, 2018 to 2019, for 60 participants 18 to 21 years of age was examined. Very fair skin and dark brown skin tone were classified based on Fitzpatrick scale (Grade 1 and grade IV). All the participants were having normal hearing with PTA</= 15dB according to Goodman’s classification. We demonstrate for the first time that lower skin pigmentation is associated with poor OAE amplitudes for individuals of same race/ethnicity and thus indicate the increase risk of having hearing loss in future. These results add to the growing literature of reduced melanocytes/melanin pigmentation related health disturbances and also add to the urgency in instituting public health measures to reduce it.
Archives of Natural and Medicinal Chemistry

Background: Plants have been used in medicine for a long time by human civilization to cure diseases. Most of the drugs in clinical use are from natural products including chemotherapeutic drugs. Method: Twelve anthraquinone derivatives were successfully isolated from Morinda citrifolia and tested for their cytotoxic activities against stomach cancer cell line, SNU-1, colon cancer cell line, LS-174T and leukaemia cell line, K562. A molecular docking study was performed on three potential protein receptors, HER-2 (PDB ID: 3PP0), β-catenin (PDB ID: 1JDH) and Src protein kinase (PDB ID: 2SRC), in order to model the probable binding interaction between isolated compounds towards the respective protein receptors. Result: Morindone (4) showed the highest cytotoxic activities against SNU-1 and LS-174T cell lines with IC50 values of 2.72 μg/ ml and 2.93 μg/ml, respectively. Meanwhile, nordamnacanthal (1) showed the highest cytotoxic activity against K562 with IC50 value of 5. 99μg/ml. The structure-activity relationship studies showed that the presence and arrangements of formyl, hydroxyl and methoxyl substituents in the anthraquinone skeleton are important towards the cytotoxic activities. Molecular docking studies showed all the active compounds could bind well with the responsible protein. Conclusion: Some anthraquinone compounds isolated from Morinda citrifolia were determined and could act as anti-cancer inhibitors for SNU-1, LS-174T and K562. DOI: 10.29011/ANMC-110.000010
CANADA’S 5 GENERATION SEISMIC HAZARD MODEL: 2015 HAZARD VALUES AND FUTURE MODEL UPDATES

The Geological Survey of Canada (GSC) has contributed earthquake hazard information for the National Building Code of Canada (NBCC) since the 1953 edition. The 2015 national hazard model update yields many important advances on its predecessors, including: probabilistic treatment of the Cascadia subduction zone; reconfigured seismic source zones and special consideration of rare large eastern earthquakes; explicit definition of crustal fault sources in the Yukon Territory and offshore western margin faults (north of Cascadia) based on GPS observations and paleoseismic slip rates; catalogue magnitudes expressed consistently in terms of moment magnitude for improved magnitude-frequency statistics; and the use of a suite of representative backbone ground-motion models. Seismic design values (on Soil Class C defined at VS30 = 450 m/s) are calculated for PGA and PGV, as well as spectral acceleration Sa at nine periods between 0.05 and 10 s. For locations in eastern Canada, the estimated seismic hazard at long periods has generally increased while the seismic hazard at short periods has decreased – in some places significantly. For locations in western Canada, the seismic hazard at long periods has increased significantly for areas affected by great Cascadia interface earthquakes. In Haida Gwaii (formally the Queen Charlotte Islands) and the Yukon, the explicit inclusion of fault sources has also raised the modelled hazard. The GSC is now working towards the 2020 building code cycle with a view of rethinking the fundamental scientific questions and building on the advances made for the 2015 hazard model. In particular, we will: evaluate and adopt new hazard computation software; evaluate catalogue declustering techniques; examine, in more detail, the rationale for groundmotion model selection in specific tectonic environments; consider hazard from induced earthquakes; and explore the utility of risk-targeted ground motions for design.
Tailored source code transformations to synthesize computationally diverse program variants

The predictability of program execution provides attackers a rich source of knowledge who can exploit it to spy or remotely control the program. Moving target defense ad- dresses this issue by constantly switching between many di- verse variants of a program, which reduces the certainty that an attacker can have about the program execution. The ef- fectiveness of this approach relies on the availability of a large number of software variants that exhibit dierent ex- ecutions. However, current approaches rely on the natural diversity provided by o-the-shelf components, which is very limited. In this paper, we explore the automatic synthe- sis of large sets of program variants, called sosies. Sosies provide the same expected functionality as the original pro- gram, while exhibiting dierent executions. They are said to be computationally diverse. This work addresses two objectives: comparing dierent transformations for increasing the likelihood of sosie synthe- sis (densifying the search space for sosies); demonstrating computation diversity in synthesized sosies. We synthesized 30 184 sosies in total, for 9 large, real-world, open source ap- plications. For all these programs we identied one type of program analysis that systematically increases the density of sosies; we measured computation diversity for sosies of 3 programs and found diversity in method calls or data in more than 40% of sosies. This is a step towards controlled massive unpredictability of software.
The alterations effects in phosphorus of erythropoietin and U-74389G

1Department of Gynecology, Anticancer Hospital of Thessaloniki “Theageneio” Thessaloniki, Hellas 2Department of Obstetrics & Gynecology, Aretaieion Hospital, Athens University, Athens, Attiki, Hellas 3Department of Biologic Chemistry, Athens University, Athens, Attiki, Hellas 4Department of Surgery, Ippokrateion General Hospital, Athens University, Athens, Attiki, Hellas 5Experimental Research Centre ELPEN Pharmaceuticals, S.A. Inc., Co., Pikermi, Attiki, Hellas 6Experimental Research Centre ELPEN Pharmaceuticals, S.A. Inc., Co., Pikermi, Attiki, Hellas 7Experimental, Educational and Research Center ELPEN, European University Cyprus, School of Medicine, Hellas More Information
STRATEGY TO IDENTIFY COGNITIVE LEVEL OF QUESTION USING BLOOM'S TAXONOMY

An important component of question answering systems is question categorization. Questions are provided to fulfill learning objectives in the subject content learned by students. Challenging thing in question answering system is to prepare good quality questions. Quality questions are prepared by assigning cognitive level. Learning and assessment are the two sides of education system. Thus, Bloom's taxonomy is common reference point for it. Exam questions categorization presents a main challenge in categorizing short questions which will have small text. Short questions text are very sparse and far in terms of features also. In order to solve this issue, methodology is proposed to categorize exam questions automatically to the cognitive levels of Bloom's taxonomy. This provides a strategy based methodology using three machine learning classifiers. The classifiers adopted in this work are, Support Vector Machine (SVM),Naive Byes (NB), and k-Nearest Neighbour (k-NN) . The study found that applying feature selection methods, namely Chi-square, Mutual Information and Odd Ratio on question categorization not only make categorization more time efficient, but it also improves the categorization accuracy . Furthermore, it is discovered that combination of classifiers can be applied to categorize the question with feature selection methods.
INTERFACIAL DESIGN FOR DAMAGE TOLERANT FIBER COMPOSITES

The study of the interfacial failure during single fiber push-out tests, performed on model polymer composites, reveals the influence of interfacial roughness and adhesion on damage evolution. The experiments showed increasing crack propagation stability, interfacial toughness and frictional stress with increasing roughness. The samples with stronger interfacial adhesion had higher maximum load and interfacial fracture toughness. The occurrence of matrix cracks along the interface was more frequent for rougher fibers as well as for samples with enhanced interfacial adhesion. The push-out force during frictional sliding increased due to various wear mechanisms, whose effects are significant in the case of brittle materials with low surface hardness. These results indicate that the interfacial properties of the model composites can be systematically altered to create a range of damage modes.
DYNAMICS OF A MULTIPLE BUILDING BASE ISOLATED SYSTEM

In multiple-building real state complexes, where seismic protection needs to be delivered to all structures, individual isolation may bring a series of construction difficulties. An alternative, is to create a large isolated concrete slab, on which all structures are built, delivering seismic protection to all of them, including common areas and connections. This concept has already been implemented and delivers diverse construction benefits; however, the behavior of each structure differs greatly from its response with individual isolation and this aspect has not been studied in proper depth. The objective is to characterize the dynamic behavior of a multiple-building base-isolated system subject to spatial motion by identifying its equivalent modal properties and analyzing its non-linear response. To do this, a simplified case of two structures was adopted and several configurations were simulated through a 3D numerical model, which considered the non-linear hysteresis of isolators and the possibility of structures undergoing non-linear incursions in addition. All simulations were complemented with a modal analysis of the system. Results indicate that there is a significant interaction between the two structures, caused mainly by the influence of higher modes, in which each structure has an effect on the kinematic of the isolation system. That is to say, the modal response of one structure depends on the parameters of adjacent buildings. As a consequence, common isolation of two dissimilar structures could lead to a significant increase in their displacements or interstory drift. The magnitude of this interaction depends principally on building distribution, structure properties (mainly their period and mass difference) and analysis direction.
Vergleichende Untersuchungen der Rissausbreitung in Beton mit Schallemission und digitaler Bildkorrelation

The formation of cracks and the development of the fracture process zone (FPZ) have typically been documented by Acoustic Emission (AE) metho ds and important conclusions regarding the nature of the FPZ and the propagation mechanisms of concrete have been drawn to form the basis of curren t fracture models for concrete. The study presented in this paper focuses on Mode I cracking of ultra-h igh performance concrete (UHPC) and fibre-reinforced concrete material (UHPC/steel fibres) using compact tension specimens. It compar es the results of AE measurements to those obtained from documenting the cracking proce ss by Digital Image Correlation (DIC). The findings from this comparison show that different types of AE signals from deformation mechanisms of different nature occur in distinct regions of the entire cracking proce ss, i.e. ahead of the crack tip, at the crack tip and in the wake of the crack due to the increasing separation of th e crack face s and further opening of the crack. The DIC measurements indicate that crack initiation occurs with locally corresponding AE signals and furthermor e suggest a continuously connected path of the fracture process zone from initiation at the crack tip to the stress free region in the wake of the crack. Based on these comp arative measurements the study shows that crack formation in UHPC is initiated b y an individual, sharp micro-crack rather than by a region of diffuse microcracking ahead of the eventual crack tip. Later on a single macro-crack propagates. Fibrous filling of UHPC yields widespread AE sources around all crack paths and crack branches originating from the main macro-crack. AE signals detected u sing wideband sensors exhibit quite different characteristics in time (waveform) and frequency (bandwidth) domain. In addition to three types of AE si gnals from different source mechanisms in concrete already described [13] a fourth type of signals in fibre-reinforced concrete probably related to the process of fibre pull-out is detected. *) im Ruhestand (bis Sept. 2014 : Bundesanstalt für Materialforschung und -prüfung, Berlin) M or e in fo a bo ut th is a rt ic le : ht tp :// w w w . n dt . n et /? id = 20 93 0
The effect of psychological violence on preschool teachers’ perceptions of their performance

The phenomenon of psychological violence (mobbing) explained within the context of psychological aggression, is gaining attention due to increased focus on industrialisation and work life. The study aimed to examine the effects of mobbing experienced by teachers on the way they perceive their performance. The research sample consisted of 698 teachers (647 female/51 male) working in public preschools. The Mobbing Scale developed by Yaman (2009), and the Teachers’ Perception of Performance Scale developed by Ozozen Danaci (2009) were used as data collection tools. In data analysis, the correlations of teachers’ psychological violence levels to their self-performance assessment and managing skills were determined. The findings suggest that there is a significant negative relationship between psychological violence and work performance. Based on the findings obtained in this study, the aim was to establish an educational environment without any psychological violence to provide an improved service. Keywords: classroom; performance; preschool; primary education; psychological violence (mobbing); teacher
Smarties: an input system for wall display development

Wall-sized displays can support data visualization and collaboration, but making them interactive is challenging. Smarties allows wall application developers to easily add interactive support to their collaborative applications. It consists of an interface running on touch mobile devices for input, a communication protocol between devices and the wall, and a library that implements the protocol and handles synchronization, locking and input conflicts. The library presents the input as an event loop with callback functions. Each touch mobile has multiple cursor controllers, each associated with keyboards, widgets and clipboards. These controllers can be assigned to specific tasks, are persistent in nature, and can be shared by multiple collaborating users for sharing work. They can control simple cursors on the wall application, or specific content (objects or groups of them). The types of associated widgets are decided by the wall application, making the mobile interface customizable by the wall application it connects to.
Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern

Biomedical named entity recognition (NER) is a challenging problem. In this paper, we show that mining techniques, such as sequential pattern mining and sequential rule mining, can be useful to tackle this problem but present some limitations. We demonstrate and analyse these limitations and introduce a new kind of pattern called LSR pattern that offers an excellent trade-off between the high precision of sequential rules and the high recall of sequential patterns. We formalise the LSR pattern mining problem first. Then we show how LSR patterns enable us to successfully tackle biomedical NER problems. We report experiments carried out on real datasets that underline the relevance of our proposition.
PRBM_A_207727 715..723

Marzieh Saei Ghare Naz 1 Fahimeh Ramezani Tehrani 2 Giti Ozgoli 3 1Student Research Committee, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 2Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 3Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran Background: Adolescents with Polycystic Ovary Syndrome (PCOS) use different coping strategies to confront the challenges of this disorder. Various studies extracted coping strategies amongst adult women with PCOS, but regarding the mental difference between adults and adolescents, specific study was conducted to gain a deep understanding of how adolescents cope to the many health issues they experience. Methods: Fifteen adolescents aged 13–19 years with PCOS participated in comprehensive individual interviews with goal-oriented, semi-structured questions. Sampling was purposive and continued until data saturation was reached. Data were analyzed using the thematic analysis technique. The validity of the data was verified through measures including credibility, transferability, dependability, confirmability and authenticity. Results: The analysis of the data helped extract the main theme of the research as “dealing with PCOS”. The main theme consisted of three themes and 12 sub-theme: (1) Escaping the problem (sub-themes: Adopting a forgetting mindset, and concealment and minimization of the disorder); (2) Depressive mood (sub-themes: Poor self-perception and low self-esteem, isolation, sleep disturbances, passive aggressive behavior, emotional turmoil, feelings of humiliation, and adolescents’ perceptions); and (3) Coping with the disease (sub-themes: Recovery of health, positive thinking, hope for recovery). Conclusion: In this study, the adolescents with PCOS showed a coping response to their disorder in the form of problem-solving, developing a depressive mood or adjusting to the disorder. Recognizing the mental health needs of these adolescents and improving their quality of life require the identification of ways through which they deal with PCOS.
GRAPEVINE YELLOWS-CURRENT DEVELOPMENTS AND UNSOLVED QUESTIONS

Grapevine yellows (GY) are diseases associated to phytoplasmas that occur in many grape growing areas world-wide and are of still increasing significance. Almost identical symptoms of the GY syndrome are caused by different phytoplasmas and appear on leaves, shoots and clusters of grapevine. Typical symptoms include discoloration and necrosis of leaf veins and leaf blades, downward curling of leaves, lack or incomplete lignification of shoots, stunting and necrosis of shoots, abortion of inflorescences and shrivelling of berries. Those symptoms are related to callose deposition at the sieve plates and subsequent degeneration of the phloem (63,90). Although no resistant cultivars of Vitis vinifera or rootstocks are known so far, the various grape varieties differ considerably as far as symptom severity is concerned. It ranges from fast decline and death in highly susceptible cultivars to tolerant rootstocks as symptomless carriers of the pathogen (33).
Explicit uncertainty for eye movement selection

In this paper, we consider the issue of the selection of eye movements in an eye-free Multiple Object Tracking task. We propose a Bayesian model of retinotopic maps with a complex logarithmic mapping. This model is structured in two parts: a representation of the visual scene, and a decision model based on the representation. We compare different decision models based on different features of the representation and we show that taking into account uncertainty helps predict the eye movements of subjects recorded in a psychophysics experiment.
Seasonal cambial activity of some mangrove trees in Inner Gulf of Thailand in dependence on climate

This study aims to investigate the relationship between the cambial activity of Rhizophora mucronata, Avicennia alba, and Avicennia marina and climatic factors (e.g., rainfall, temperature, salinity, and sea water level) in Samut Sakhon Province, Thailand. Cambial samples were collected once a month from January to December 2009, resulting in total of 18 samples from 9 trees in every month. The samples were prepared by the epoxy technique. The cambial activity was investigated by counting undifferentiated cells in the cambial zone. The relationship between cambial activity and climatic factors were investigated by Pearson’s correlation. Correlations among the cambial activity of the three species with rainfall, temperature, and salinity were weak and statistically insignificant. The strongest and most statistically significant relationships were observed with sea water level of R. mucronata (r = -0.67, p<0.01) and A. alba (r = -0.52, p<0.05). Therefore, cambial activity of the three species is not driven by seasonal climatic factors. For A. alba and A. marina, more than one cambium was found to be simultaneously active.