Miracle-dz/UniFAR-FTUs huggingface dataset:
Augmented Shared Spaces: An Application for Exposure Psychotherapy

The latest advances in computational power of small portable devices enables the development of new forms of Augmented Realities, namely Augmented Reality Shared Spaces. In this work, we will explore this technolo- gy to improve the collaborative work between people in the same physical space allowing them to share and visualise virtual contents. The idea is to have a 3D scene shared between several people where everyone can see and interact with and explore its use in psychotherapy context. These live interactions can also be used to improve the quality of collaborative work by presenting in real time ideas and thoughts of any participant directly on top of the 3D model. In the case of a psychotherapy session typically patients describe their feelings and fears to the therapist. This may be centred on virtual representations of their phobic elements, supporting interactions with them, being those actions and re- sults observable by both in their shared space. Our main goal is to apply and evaluate this concept, specially in exposure-based therapies, where it is im- portant for the therapist to control and manipulate the scene that the patient is exposed to in order to obtain the desired emotional activations.
Selection of higher studies institution using fuzzy decision making

Selecting a course of action out of different courses to solve a problem is called a decision making. The Decision may be major/minor strategies or operational, long term or short term. The importance of decision, however, varies at each level. Decision making is a modest attempt to ﬁnd the best alternatives. Based on the knowledge he/she acquired to select the environment of higher studies. The choice is based on many factors such as fee, distance, quality of institution etc. In fuzzy individual decision making (FIDM), only a single person is responsible for taking decisions. The goals and constraints of IDM are expressed in terms of fuzzy set.
Cheap and Easy PIN Entering Using Eye Gaze

PINs are one of the most popular methods to perform simple and fast user authentication.PIN stands for Personal Identification Number, which may have any number of digits or even letters.Nevertheless, 4-digit PIN is the most common and is used for instance in ATMs or cellular phones.The main advantage of the PIN is that it is easy to remember and fast to enter. There are, however,some drawbacks. One of them - addressed in this paper - is a possibility to steal PIN by a techniquecalled `shoulder surfing'. To avoid such problems a novel method of the PIN entering was proposed.Instead of using a numerical keyboard, the PIN may be entered by eye gazes, which is a hands-free,easy and robust technique.
Multi-level Fitness Critics for Cooperative Coevolution

In many multiagent domains, and particularly in tightly coupled domains, teasing an agent’s contribution to the system performance based on a single episodic return is difficult. This well-known difficulty hits state-to-action mapping approaches such as neural networks trained by evolutionary algorithms particularly hard. This paper introduces fitness critics, which leverage the expected fitness to evaluate an agent’s performance. This approach turns a sparse performance metric (policy evaluation) into a dense performance metric (state-action evaluation) by relating the episodic feedback to the state-action pairs experienced during the execution of that policy. In the tightly-coupled multi-rover domain (where multiple rovers have to perform a particular task simultaneously), only teams using fitness critics were able to demonstrate effective learning on tasks with tight coupling while other coevolved teams were unable to learn at all.
Proposed Epidemiological Models and Methods to Improve COVID-19 Contact Tracing and Outbreak Prediction

In the case of pandemics—such as the current COVID-19 pandemic—disease spreads rapidly and testing resources are limited. Contact tracing provides an opportunity to ﬁll some of the gaps left by testing limitations. Individuals with conﬁrmed and presumed or suspected positive cases can be identiﬁed via user input of testing status or symptoms, as well as by other data sources. The location and movement of these individuals can then be traced. This location information can be used to create a 4D model of locations over time, and the data can be input into a network model to identify other individuals who were likely exposed as well as identify where or among which groups the next outbreaks are likely to occur. This paper describes a few central models based in epidemiology, graph theory, and population biology that can be used, along with location, case, and symptomatology data to create an eﬀective contact tracing algorithm. It then proposes a SEIR model for tracing infections through a network and discusses limitations and options for further ﬁne-tuning. Such an algorithm has immense potential to drastically improve epidemiological studies, reduce cases, and prioritize interventions during COVID-19 and future epidemics. The algorithm will be implemented via the Safetrace API, part of the MutualAid.world project.
Reversible metronidazole-induced encephalopathy Encéphalopathie réversible au métronidazole

MOTS CLÉS Métronidazole ; Encéphalopathie ; Imagerie par résonance magnétique Résumé Nous rapportons un cas d’encéphalopathie toxique due au métronidazole chez un homme de 51 ans. L’imagerie par résonance magnétique (IRM) a montré des anomalies de signal de topographie très évocatrice. L’IRM de contrôle réalisée un mois après l’arrêt de traitement a montré la disparition des lésions. © 2007 Elsevier Masson SAS. All rights reserved.
Actions to enhance and support the information security risk assessment process in corporations

Information security is growing in importance as the world becomes more digital, at the same time the importance of usability implementation in software development is also growing. In this study, an evaluation was done on what affects usability and how important usability is in a reporting tool handling information security risk assessment (ISRA). The research question from which the study is based on: What actions can enhance and support the information security risk assessment process in corporations? In order to investigate the research question a study was organized consisting of a survey (N=30) and a think-aloud usability test (N=7). As a part of the analysis process a usability heuristic analysis was performed. According to this study, the ISRA process is complicated and creating a well-functioning supporting tool for it is complex. In order for the tool to facilitate for the users work, usability is an important aspect and should be taken in consideration early in the development process of a tool. Based on the findings in this study actions that can contribute to enhanced usability were discussed. The recommended actions are: 1) Include all types of roles in the ISRA process to determine the purpose of the tool and what it should support. 2) Implement clear guiding information in all parts of the tool, all people involved in the ISRA process should be able to understand the tool. 3) Keep an intuitive flow throughout the tool, the user should intuitively always know what the next step is and what to expect. 4) Have a search function that supports all aspects in the tool.
EFFECT OF TIP SHAPE ON ELECTROSTATIC FORCE MICROSCOPY

Electrostatic Force Microscopy (EFM) is a probe microscopy technique derived from Scanning Force Microscopy (SFM). Like in SFM, a tip senses proximity interactions forces of a sample surface. In EFM, the forces are of electrostatic nature and typically generated by an applied electric field. It has been extensively used to study liquid and solid surfaces, as well as polarization of small atomic chains [1]. It has been established [2] that the size and shape of the tip are relevant parameters in the electrostatic field and consequently, in the EFM interactions. In the same reference, the authors explain the problems with finite-element and similar numerical calculations –due mostly to the dissimilar spatial extend of the micrometer cantilever-tip system, and the nanometer tip-sample system. To contribute to overcome the above described scale problem, we present here a semianalytical algorithm to calculate EFM forces of realistically shapes tips (figure 1).
Effects of Manual Lymph Drainage on the Activity of Sympathetic Nervous System, Anxiety, Pain, and Pressure Pain Threshold in Subjects with Psychological Stress

Purpose: The aim of this study was to investigate the effects of manual lymph drainage (MLD) on the activity of sympathetic nervous system, anxiety, pain and pressure pain threshold in subjects with psychological stress. Methods: Twenty-nine subjects with psychological stress were randomly assigned to experimental (MLD) and control (rest) groups. This study was performed as a controlled, randomized study using spectral analysis of electrocardiographic (ECG) activities, the State-Trait Anxiety Inventory (STAI), Visual Analogue Scale (VAS) and Pressure Pain Threshold (PPT). Results: Heart rate variability differed significantly between the experimental and control groups (p<0.05). Anxiety and pain showed positive change in both group but it were not showed statically differences. The pressure pain threshold in the upper trapezius muscle was increased in the experimental group (p<0.05). Conclusion: These findings indicate that the application of MLD was effective in reducing the activity of the sympathetic nervous system, anxiety, pain, and increasing the PPT
The role of SYN1 in early Arabidopsis meiosis

SYN1 is a meiosis-specific Arabidopsis homologue of yeast REC8. REC8 is an important component of the meiotic cohesion complex which maintains cohesion between sister chromatids. Cytological analysis of syn1\(^{-/-}\) has shown chromosome fragmentation at metaphase I. To determine the basis of chromosome fragmentation in the syn1\(^{-/-}\), three double mutants were constructed. I have demonstrated that chromosome fragmentation in syn1 is AtSPO11-1-dependent. Moreover, I have also shown that SYN1 has a role in DSB repair by analysing Atdmc1\(^{-/-}\)/syn1\(^{-/-}\) meiocytes. To investigate this further, immunolocalization studies in wild-type and syn1\(^{-/-}\) were conducted. Distribution of ASY1 and AtZYP1 was affected in syn1\(^{-/-}\). Both proteins appeared as aggregates, developing into an abnormal short linear signal in early prophase I, suggesting that both axis formation and synapsis are compromised. Distribution of the recombination proteins AtRAD51 and AtMLH1 was also aberrant. Localization of SYN1 in wild-type nuclei revealed a continuous signal along the chromosome axes. However, careful inspection revealed that this was accompanied by patches of more intense signals, possibly corresponding to DSB regions. To investigate this further I analysed SYN1 distribution in an Atspo11-1-4\(^{-/-}\) mutant. Whilst faint SYN1 signals were apparent along the axis, no patches of intense signals were visible. Cisplatin-induced DSBs restored AtZYP1 foci in Atspo11-1-4\(^{-/-}\) and also resulted in restoration of intense patches of the SYN1 signals. This is consistent with the recruitment of SYN1 to DSB sites.
Speaker Recognition by Combining MFCC and Phase Information in Noisy Conditions

In this paper, we investigate the effectiveness of phase for speaker recognition in noisy conditions and combine the phase information with mel-frequency cepstral coefficients (MFCCs). To date, almost speaker recognition methods are based on MFCCs even in noisy conditions. For MFCCs which dominantly capture vocal tract information, only the magnitude of the Fourier Transform of time-domain speech frames is used and phase information has been ignored. High complement of the phase information and MFCCs is expected because the phase information includes rich voice source information. Furthermore, some researches have reported that phase based feature was robust to noise. In our previous study, a phase information extraction method that normalizes the change variation in the phase depending on the clipping position of the input speech was proposed, and the performance of the combination of the phase information and MFCCs was remarkably better than that of MFCCs. In this paper, we evaluate the robustness of the proposed phase information for speaker identification in noisy conditions. Spectral subtraction, a method skipping frames with low energy/Signal-to-Noise (SN) and noisy speech training models are used to analyze the effect of the phase information and MFCCs in noisy conditions. The NTT database and the JNAS (Japanese Newspaper Article Sentences) database added with stationary/non-stationary noise were used to evaluate our proposed method. MFCCs outperformed the phase information for clean speech. On the other hand, the degradation of the phase information was significantly smaller than that of MFCCs for noisy speech. The individual result of the phase information was even better than that of MFCCs in many cases by clean speech training models. By deleting unreliable frames (frames having low energy/SN), the speaker identification performance was improved significantly. By integrating the phase information with MFCCs, the speaker identification error reduction rate was about 30%-60% compared with the standard MFCC-based method.
Elimination of Foodborne Pathogens in Seafoods by Irradiation: Effects on the Quality and Shelf-Life

Animal originated contamination is the main problem of public health and causes human suffering all over the world. Nowadays, radiation technology is used on foods and yielded with positive results. Gamma radiation causes damage in the structure of bacterial DNA and cell walls. This irritation can lead to decrease in bacterial growth such as spoilage and pathogenic organisms (i.e, Salmonella spp., Bacillus cereus, Listeria monocytogenes, Yersinia enterocolitica, Staphylococcus aureus, Escherichia coli O157:H7) by this means, increased quality and shelf-life can be obtained. However, for the maintaining organoleptic and nutritional quality, it is an obligation to achive the lowest levels of doses according to chemical, physical, microbiological properties of the product. Radiation energy can lead to radiolytic products from lipids, proteins and water which are the major components of seafoods. Another problem in seafood industry is quality losses at the retail and distribution. Time-temperature integrations are the major factors affecting the bacterial growth and enzymatic activity on the loss of seafood quality. The purpose of this review is to summarize the available information on the elimination of some food pathogens by irradition, which emphasize the effects of gamma irradiation on the quality and shelf-life of seafoods.
International Journal of Social Science and Economic Research

Alcohol, tobacco and drug addiction seems only to be an ever growing problem in India, among all parts of society alike, for various cultural and socio economic reasons. Given the issue, the government and non-governmental organizations have attempted to implement several programs ranging from prohibition of addictive products, criminalization, rehabilitation programs, taxation, and community based initiatives. In order to trace the market growth for such measures and rehabilitation services, it is crucial for policy makers to understand the economics of the market and the contributions that economics as a discipline can make to long term design of deaddiction programs. This paper will shed light on the current schemes implemented in India to tackle the issue, and shed light on the economics of the market for drugs. The paper will then evaluate the effectiveness of various measures such as taxation, and finally pose policy recommendations for moving such measures from a focus on prohibition to a focus on rehabilitation and tackling social stigmatization.
Photoreceptor Detection in In-Vivo Adaptive Optics Images of the Retina: Statistical Validation

This article presents a photoreceptor detection algorithm applied to in-vivo Adaptive Optics (AO) images of the retina obtained from an advanced ophthalmic diagnosis device. Our algorithm is based on a recursive construction of thresholded connected components when the seeds of the recursions are the regional maxima of the deconvoluted image. This algorithm is validated on a gold standard dataset obtained thanks to manual cones detections made by ophtalmologist physicians.
Promoting Effects of Computer Scoring on English Learning of College Students

In the age of economic globalization, it is important for college students to master such an international language as English. The computer scoring is an effective tool to enhance their ability of English learning. Drawing on theories of formative assessment and structural learning, this paper mainly verifies the promoting effect of computer scoring on English learning among college students. The data were collected through a questionnaire survey, and a case study was carried out on a scoring website for English writing. The results show that: formative assessment and structural learning lay the theoretical basis for computer scoring; college students generally recognize that computer scoring system greatly enhances their ability and enthusiasm of English learning; the target computer scoring system (www.pigai.org) facilitates autonomous learning under teacher supervision, with the functions on student and teacher interfaces. The research findings greatly promote the development of computer scoring and English learning among college students.
PhD Research: Anti-Parallel Patterns Start

—This paper gives an overview of our PhD research which investigates the usefulness of the concept of anti-parallel patterns in the domain of parallel performance analysis. We believe this concept is a promising method that complements other methods that assist the developer in analyzing, understanding and improving the performance of her parallel programs. Anti-parallel patterns are common parts of parallel programs that cause the performance of the program to be less than ideal, namely a speedup of p when running on p processing elements. First, the patterns provide a way of structuring research and can be used to create an inventory. Next, we will analyze whether a parallel application can be completely characterized by the anti-parallel patterns it contains. This depends on the orthogonality of the decomposition. If orthogonality holds, the impact of each pattern can be modeled separately. If a weaker form of orthogonality holds, we might also have to model the interaction between the patterns. For putting patterns into practice, an important question is whether they can be detected automatically. The impact on the performance will be studied by benchmark programs. These benchmarks can then be used to compare the performance behavior of parallel platforms.
CONSIDERATION OF AU–CARBON NANOPARTICLES BY LASER ABLATION UNDER SUPERCRITICAL CO2

In our previous works, we observed the formation of Au-carbon nanoparticles via pulsed laser ablation (PLA) under pressurized CO2. We showed that the size of the generated nanoparticles depend strongly on the pressure and the temperature of the CO2 medium. Here, we further elaborate this finding by applying more extreme conditions for the CO2 medium. The experiments were performed at temperatures and pressures of 31-80 °C and 5-15 MPa, corresponding to the supercritical phase of CO2. We observed that the generated Au-carbon nanoparticles has the average size of 11 nm with spherical and nanocluster structures. The effects of the medium temperature and pressure will be discussed thoroughly.
The distribution of pubescent-leaved individuals of Conocarpus erectus (Combretaceae).

The buttonwood mangrove Gonocarpus erectus L. grows along the coast of west tropical Africa, the Atlantic and Pacific coasts of tropical and subtropical North and South America and throughout the West Indies. Pubescent leaved individuals are restricted to the northern areas of the West Indies, southern Florida and northern Central America (Fig. 1) and have been variously named C. pubescens Schmach. , C. erectus var. sericeus Fors, ex DC. , C. serieeus (Fors, ex DC.) G. Don, C. erectus var. sericeus Griseb. and C. sericeus (Griseb.) Jimenez. Stearn (1958) noted the existence of intermediate leaved individuals (Stearn 760 from Portland Ridge, Clarendon, Jamaica) and recommended that specific level be dropped in favor of varietal level. (In this article Stearn cited the type-locality of y sericeus Griseb. as Antigua and St. Vin cent, Lesser Antilles, but Grisebach (1860) listed sericeus only from the Bahamas (Sivain a. y), a locality consistent with the findings of this author). Study of the variation in pubescence of material from F, gh, mo and fresh material in the field suggests division of the intermediate leaved condition into three groupings. The first condition consists of a few slightly pubescent leaves on an otherwise silky pubescent leaved plant. The converse of the first condition also occurs giving a plant with a few sparsely pubescent leaves on an otherwise gla brous leaved plant. The third condition consists of individ uals with pubescent and glabrous leaves in a cyclic pattern.
An Adaptive Virtual Reality-Based Serious Game for Therapeutic Rehabilitation

Conventional motor rehabilitation therapies followed by stroke survivors during their recovery process, are typically intense and involve numerous repetitions of task-specific recommended exercises. However, due to the lack of short-term or immediate results, patients tend to lose motivation on the rehabilitation process, and on performing the therapist recommended exercises at home between sessions. The work described in this article proposes to engage the patients with the therapeutic exercises by transforming the latter into specially designed serious games. After an initial evaluation by therapists, a pilot study was conducted on a rehabilitation clinic that showed that this system is adequate for about 75% of the clinical cases treated. The proposed game was globally well-accepted by patients, showing to be motivational and engaging. These promising results lead us to believe that immersive-based games can indeed be a valuable aid for motor rehabilitation therapies.
Towards a Pattern-based Semantic Enrichment of Bibliographic Entities

The semantic enrichment of cultural heritage data is a crucial step for memory institutions to provide enhanced search services and to reduce the costs for managing resources. Yet, using information systems based on semantic web technologies implies to migrate and enrich the legacy data according to the dedicated semantic models. In the library community such task can be very complex when handling large catalogs of records stored using old and flat models. This paper focuses on the challenges related to metadata migration process and semantic enrichment of bibliographic data. We present the contributions and lessons learned from the FRBRisation study and we provide preliminary discussions and ongoing work about the enrichment of FRBRised entities.