Miracle-dz/UniFAR-FTUs huggingface dataset:
A unifying framework for observer-aware planning and its complexity

Being aware of observers and the inferences they make about an agent’s behavior is crucial for suc-cessful multi-agent interaction. Existing works on observer-aware planning use different assumptions and techniques to produce observer-aware behaviors. We argue that observer-aware planning, in its most general form, can be modeled as an Interactive POMDP (I-POMDP), which requires complex modeling and is hard to solve. Hence, we introduce a less complex framework for producing observer-aware behaviors called Observer-Aware MDP (OAMDP) and analyze its relationship to I-POMDP. We establish the complexity of OAMDPs and show that they can improve interpretability of agent behaviors in several scenarios.
Alzheimer ’ s Sound Health 1 MedDocs eBooks

There is an emerging interest in using music as a non-invasive non-pharmacological therapy for various mental disorders. The study of music and medicine is a rapidly growing field which had been largely focused on the use of music as a complementary therapy. Despite its evident universality and high social value, the ultimate biological role of music and its connection to brain disorders is poorly understood. This communication is an attempt to link known facts about the potential of music as a non-pharmacological therapy in treating neurological disorders with special emphasis on Alzheimer’s disease.
The First Draft Genome Sequence of Methicillin-Resistant- ST80 Staphylococcus aureus Isolated from Sheep’s Nasal Cavities in Tunisia

Citation: Mohamed Salah Abbassi. , et al. “The First Draft Genome Sequence of Methicillin-ResistantST80 Staphylococcus aureus Isolated from Sheep’s Nasal Cavities in Tunisia”. EC Microbiology 17.9 (2021): 38-40. We report the draft genome sequence of methicillin-resistant Staphylococcus aureus strain S56. The S56 was isolated from a nasal sample obtained from a healthy sheep in Tunisia and was typed as t044-ST80. Its genome is composed of 2.839. 420 bp and contained several genes implicated in the virulence, biofilm production and antibiotic resistance.
Suppression of OH Generation from the Photo-Fenton Reaction in the Presence of α-Pinene Secondary Organic Aerosol Material

Although Fenton and Photo-Fenton chemistry is thought to be an important source of OH in cloud and fog water, a high dissolved organic content, especially of secondary organic aerosol (SOA) material, may affect the production of OH via this mechanism. The relative production of OH was measured for Fenton and Photo-Fenton reactions with H2O2 and Fenton-like and Photo-Fenton-like reactions with α-pinene ozonolysis SOA material, under cloud water relevant conditions (5 μM iron, 45 μM H2O2, and 1500 μM SOA). It is demonstrated that the generation of OH radicals from Photo-Fenton chemistry can be significantly suppressed by addition of α-pinene SOA material, where the OH yield for solutions containing H2O2 and SOA material together was decreased by a factor of 6 compared to that when only H2O2 was present, likely because of complexation by carboxylic acids (such as pinonic acid). When SOA is examined without additional H2O2 present, OH is generated by Photo-Fenton chemistry but at a rate lower than that for Ph.
Taste masking coating composition

There is provided a coating composition that masks the undesirable taste of a pharmaceutically active ingredient, i.e. drug or medicine, that is consumed orally. The coating composition has polyvinyl acetate, and a dimethylaminoethyl methacrylate and neutral methacrylic acid ester. Optionally, an alkaline modifier may be included in the coating composition to enhance release of the active ingredient.
Acta Polytechnica

When conducting a nuclear reactor transient analysis, the most important parameter, called the kinetic parameter, is required. The calculation of kinetic parameters can be conducted using several methods. The deterministic method is one possible method that relies on the forward and adjoint neutron fluxes to provide the kinetic parameters calculation based on the perturbation theory. In this study, the Monte Carlo transport code MCNP6 was utilized to perform the exact prediction of the kinetic parameters of a pebble bed reactor. The core was modelled with a different fuel composition of uranium loading per pebble, 235U enrichment and H/D ratio. It was found that keff strongly depends on the uranium loading, uranium enrichment and H/D ratio while the βeff dependence is insignificant. The increase in the prompt neutron lifetime (`) and mean generation time (Λ) as a function of H/D ratio are insignificant as compared to the decrease of those parameters in the case of uranium loading or uranium enrichment. These results conclude that the selection of uranium loading per pebble, 235U enrichment and H/D ratio should be considered carefully for the control and inherent safety performances.
Synergistic effect of low-level laser and vacuum therapy on the temporomandibular disorder: two cases report

Temporomandibular dysfunction (TMD) can be described as a set of clinical conditions that includes disorders of the temporomandibular joint (TMJ) and/or the masticatory muscles that has a multifactorial origin, like bruxism, sleep alteration, trauma, among others. There are several ways to treat TMD, such as: occlusal splints, physiotherapy, viscosupplementation, among others. The aim of this case report was to show the new possibility in the treatment of TMD by means of a combined therapy using low-level laser (LLL) and vacuum therapies in the recovery process of two patients with TMD. A simultaneous LLL under 660 and 808 nm, 600 mW of power divided into six lasers outputs around the tip was used synergistically with a vacuum device under negative pressure between 100 and 150 mbar. This case report included 2 patients and both of them were diagnosed with TMD according to the research diagnostic criteria for temporomandibular disorders (RDC/TMD). Patients were treated for LLLT and vacuum therapy at the same time. The treatment was applied to the left and right sides of the face on the masseter muscles, temporal muscles on the previous fibers and TMJs. Two sessions per week were performed totaling eight sessions. Oral opening, visual analogue scale (VAS) and OHRQoL (oral health-related quality of life) measurements were evaluated by the Oral Health Impact Profile (OHIP-14) at three moments: pre-treatment (T0), after the eight treatment sessions (T1) and 30 d after the end of treatment (T2). The obtained results showed the improvement of muscle pain and oral opening accompanied by improved quality of life of the volunteers treated with a percentage of 84% in patient 1 and 100% in patient 2. Combined therapies (LLL and vacuum therapies) may be a complementary or alternative treatment to control pain and decrease the recovery time of normality masticatory muscles.
SECRET LOCK – ANTI THEFT: INTEGRATION OF APP LOCKER & DETECTION OF THEFT USING USER PATTERN

- This paper presents the various methods to secure or lock the mobile using user authentication. User will add multiple apps into our application for the secured access. At the time of registration, our application can frame a group of normal queries along with the user runtime verification as per the planned system. If the mobile is robbed, there's only a pair of choices, either to alter the SIM card or to hold identical SIM card and check out to use the apps. If SIM card is modified then naturally GPS, Voice recorder & Camera are initiated, so Location and Audio uplink are sent as SMS to the backup number of the user, and photograph is mailed. If he tries to use the private apps then system can question the user with five random queries (three from traditional queries and a pair of from user runtime pattern). If not licensed then camera, GPS & Voice recorder is initiated and sent to the first user to track.
The Effect of Brand Awareness, Social Media Marketing, Perceived Quality, Hedonic Motivation, and Sales Promotion Towards Consumers Intention to Purchase in Fashion Industry

This research was conducted to investigate the effect of brand awareness, social media marketing, perceived quality, hedonic shopping motivation, and sales promotion towards purchase intention on the fashion industry. Descriptive research was used and this study was included in a cross-sectional study where the data collection period was only carried out within a certain time. The questionnaire was distributed online using Google Form and every statement in the questionnaire is using five points Likert scale. The total sample was 154 respondents who live in Greater Jakarta, aged between 17-35 years old, and have purchased brand X products. Convenience sampling was used and all data were analyzed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) approach. The results have shown that there is a positive significant relationship between brand awareness, perceived quality, and sales promotion on consumer purchase intention while social media marketing and hedonic shopping motivation insignificant on purchase intention. In addition, the most significant factor that affects consumers’ intention to purchase is sales promotion. Moreover, the firm could get benefit by formulating its brand management strategy in order to attract more consumers who intend to buy and could be more competitive over the other competitors.
Known unknowns: Learning novel concepts using reasoning-by-elimination

People can learn new visual concepts without any samples, from information given by language or by deductive reasoning. For instance, people can use elimination to infer the meaning of novel labels from their context. While recognizing novel concepts was intensively studied in zero-shot learning with semantic descriptions, training models to learn by elimination is much less studied. Here we describe the ﬁrst approach to train an agent to reason-by-elimination, by providing instructions that contain both familiar concepts and unfamiliar ones ( “ pick the red box and the green wambim ”). In our framework, the agent combines a perception module with a reasoning module that includes internal memory. It uses reinforcement learning to construct a reasoning policy that, by considering all available items in a room, can make a correct inference even for never-seen objects or concepts. Furthermore, it can then perform one-shot learning and use newly learned concepts for inferring additional novel concepts. We evaluate this approach in a new set of environments, showing that agents successfully learn to reason by elimination, and can also learn novel concepts and use them for further reasoning. This approach paves the way to handle open-world environments by extending the abundant supervised learning approaches with reasoning frameworks that can handle novel concepts.
How to model COVID-19 pathophysiology during lockdown: remote elicitation of causal Bayesian networks from medical experts

COVID-19 pathophysiology—the way the disease develops internally—is unusual in several respects, including its propensity to cascading complications and relatively high fatality rate. Given its persistent global presence, better understanding of these causal processes remains urgent and important for improving patient outcomes. In early 2020, as the pandemic commenced, we began a major project to model this pathophysiology.
The Effect Of Packaging Design Elements On Youth Purchase Intention Of Junk Food

This research provides new knowledge on the purchase intention towards junk foods. The main purpose of this research study is to examine the packaging design elements as a determinant factor to purchase junk food among youth consumer that might be one of the most essential variable in marketing field. One of the aims of this study is covering the shortcomings of previous studies that didn't observe main factors that influence the consumer purchase intention toward junk food. The various packaging elements (packaging colour, packaging graphic, packaging size, packaging material and packaging label) have been conceptualized into integrated frameworks to investigate the factors that influence consumer purchase intention toward junk food products amongst youth. Data were collected from sample size of 322 respondents mainly degree students from the faculty of Hotel Management and Tourism, and Faculty of Engineering in Universiti Teknologi MARA, Penang. This study is further validated through a survey method used of questionnaire distribution. The data were further process and analyse using Statistical Package for Social Sciences (SPSS) version 22.0. The findings revealed that only four elements which are packaging colour, packaging graphic, packaging size and packaging label are positively significant with consumer purchase intention toward junk food while the packaging material was not significant with the consumer purchase intention toward junk food.
The Major Predisposing Factors for Necrotic Enteritis in Broiler Chickens and the Use of Probiotics as New Strategy to Prevent the Disease

Necrotic Enteritis (NE) caused by the pathogenic bacterium Clostridium perfringens is the most common and financially devastating bacterial disease in the poultry industry. The ban imposed by the European Union on the use of antimicrobial growth promoters to prevent and/or treat the NE has led to an increase in both the clinical and subclinical forms of the disease, causing a decrease in the production performances of chickens and, in the most severe cases, to an increase in mortality rate. Many predisposing factors can favour the colonization and proliferation of C. perfringens, threatening the health of birds. These predisposing factors include the alteration of gut microbiota, severe damage of the epithelial surfaces, and the alteration of the animals’ immune status. Thus, the need for a prophylactic use of probiotics arises to prevent or mitigate the disease. Many bacterial species have shown probiotic activity, such as the genera Bacillus, Lactobacillus, Bifidobacterium, and Enterococcus. These microorganisms, as well as favouring the colonization of the gastrointestinal tract by a beneficial microflora and promoting the correct development of chickens’ immune system, they also compete with pathogenic bacteria to hinder their proliferation. This competitive exclusion mechanism exercised by probiotics promises to be an efficient and effective solution to replace the use of antibiotics in poultry industry, promoting animal health and favouring their productive performances. Silvia Riva; Tesa Panisello Monjo* Cealvet SLu, C/San José de la Montaña 50-B, 43500 Tortosa, Spain.
Breast Cancer Diagnosis and Survival Prediction Using JNN

: Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early intervention, early prognosis and survival prediction rates are still not sufficient. In this paper, we propose an ANN model which outperforms all the previous supervised learning methods by reaching 99.57 in terms of accuracy in Wisconsin Breast Cancer dataset. Experimental results on Haberman’s Breast Cancer Survival dataset show the superiority of proposed method by reaching 88.24 % in terms of accuracy. The results are the best reported ones obtained from Artificial Neural Network using JNN environment without any preprocessing of the dataset.
Condition number bounds for causal inference

Abstract An important achievement in the ﬁeld of causal inference was a complete characterization of when a causal effect, in a system modeled by a causal graph, can be determined uniquely from purely observational data. The identiﬁcation algorithms resulting from this work produce exact symbolic expressions for causal effects, in terms of the observational probabilities. More recent work has looked at the numerical properties of these expressions, in particular using the classical notion of the condition number . In its classical interpretation, the condition number quantiﬁes the sensitivity of the output values of the expressions to small numerical perturbations in the input observational probabilities. In the context of causal identiﬁcation, the condition number has also been shown to be related to the effect of certain kinds of uncertainties in the structure of the causal graphical model. Inthispaper, we ﬁrst give an upper bound on the condition number for the interesting case of causal graphical models with small “confounded compo-nents”. We then develop a tight characterization of the condition number of any given causal iden-tiﬁcation problem. Finally, we use our tight characterization to give a speciﬁc example where the condition number can be much lower than that obtained via generic bounds on the condition number, and to show that even “equivalent” expressions for causal identiﬁcation can behave very differently with respect to their numerical stability properties.
Tripartite Mechanism of Neural Memory: Proof-of-Concept with Neuromimetic Impedence Electrodes

The idea that neural signaling is the basis of mental processes has a long history. We graphically summarize salient developments in the neurobiology of signaling, as a Timeline. In particular, we review the “tripartite mechanism” of neural memory, which centers on the interactions between a neuron with its surrounding extracellular matrix (nECM) doped with metals and neurotransmitters (NTs). Essentially, the neuron employs the nECM as its “memory material”, wherein it uses dopants to encode cognitive units of information (termed “cuinfo”). The NTs, which elicit bodily reactions (feelings), also encode past feelings as emotions, which “color” mental states in real-time and in memory. In the interest of developing experimental tests of the tripartite mechanism, impedance glass electrodes were covalently coated with an exemplar NT (oxytocin) or a sulfated tetra-saccharide analog of the nECM, were constructed and tested. The two types of coated, neuro-mimetic electrodes, termed “neulectrodes”, were capable of detecting metals, such as Hg+2, Pb+2, Cd+2, Cu+2, and Zn+2 with very high selectivity and sensitivity. The “neulectrodes” demonstrated that the chemodynamic interactions of metal cations with NTs or nECM-saccharide analogues can translate into electrodynamic signals. They experimentally validate the concept of the tripartite mechanism that underlies the chemo-electric encoding of neural memory.
Privacy and Security Implementation in Existing Cloud Based Electronic Health Records - A DetailedReview

Over the recent years, cloud computing has emerged as a powerful means for providing automated healthcare facilities. Cloud helps in massive sharing of information between doctors and hospitals using Electronic Health Records. This major transformation has changed the way doctors and hospitals deliver quality and effective service to their patients. Using Cloud storage inhealthcare services has revolutionized health industry, making it more efficient. Apart from the primary driving factors of cloud like flexibility in cost of maintenance, infrastructure and development, on-demand scalability of storage centers and pay on use schemes are proven to be most effective. More and more digitalization of data causes breech of security and privacy.Because healthcare information is a highly sensitive data which cannot be compromised,the future of healthcare relies in providing secure and trustworthy sharing of data by safe-guarding privacy and trust. This paper gives an extensive review of the existing security mechanisms for Cloud based healthcare systems.
Effect of less affected grip strength training on grip strength in both hands in unilateral cerebral palsy

DOI: 10.4328/ACAM.20711 Received: 2021-05-21 Accepted: 2021-07-09 Published Online: 2021-07-24 Corresponding Author: Aya T’Allah Yasser Kandeel, Department of Pediatric, Faculty of Physical Therapy, Cairo University, 48 Sakr Kourish Buildings,El Maadi,Cairo,Egypt. E-mail: drayayasser92@gmail.com P: +20 01116177812 Corresponding Author ORCID ID: https://orcid.org/0000-0002-4893-6030 Abstract Aim: This study was performed to show the effect of less affected grip strength training on grip strength on both upper limbs and its impact on functional manual ability in children with unilateral cerebral palsy/hemiplegia. Material and Methods: This study involved twenty-four children aged 7-12 years from both sexes with unilateral cerebral palsy or hemiplegia, whose degree of spasticity was 1 and +1 according to the modified Ashworth scale. Assessment of grip strength of both hands and functional manual ability were performed using a Camry Hand Held Dynamometer, a Manual Abilities Classification System, and a Pediatric Upper Extremity Motor Activity Log for preand post-training test. The Camry Hand Held Dynamometer was used for grip strength training of the less affected hand. Results: This study revealed that less affected grip strength training showed a significant increase in grip strength on both upper limbs, with the mean strength gain on the more affected side being 58.06 ± 27.88%, while that of the less affected side was 42.36 ± 28.53% compared with pre-training with improvement in functional manual abilities. Discussion: This study showed a positive role of less affected grip strength training not only on ipsilateral but also on contralateral grip strength in improving functional manual abilities in children with unilateral cerebral palsy or hemiplegia, so this procedure may be used clinically in hand rehabilitation for them.
Fermented Milk Manufacture Conditions Affect Bifidobacterium animalis subsp. lactis BB12 Survival as a Result of Membrane Fatty Acid Composition

The effects of the kind of milk (organic and conventional), fermentation temperature (37°C and 42°C), final pH (4.8 and 4.4), in - termediate cooling temperature (22°C, 25°C and 28°C) and duration (4, 8 and 12 hours) were investigated on acidification activity, bacterial survival and membrane fatty acids composition of Bifidobacterium animalis
Volatility Analysis and Visualization of Climate Data Based on Wavelets

In this article, we analyze the real meteorological data recorded by Wenzhou Meteorological Bureau from 1951 to 1997. The data has not been used elsewhere and is available at Meteorological Station Wenzhou (ID: CHM00058659) at https://geographic.org/global_weather/china. We perform the time series volatility analysis including ARMA, ARIMA, ARCH-LM, PARCH, SARMA and Morlet wavelet analysis and use the Mann-Kendall (M-K) test to analyze both the trend and mutation defined by statistics sequence. In addition, a Morete wavelet time-frequency model is established to show that both the precipitation and temperature have a very important 12-month cycle and the precipitation is also very unstable. We then employ the STL, coif1 decompositions and NAR model to capture both the volatility and Heteroscedasticity in the data. In addition, the performance of the fitted model has been proven to be satisfactory on actual climate data with the small Mean Square Error (MSE), Root-Mean-Squarred Error (RMSE), and coefficient of determination. Finally, monthly average temperature is added as an exogenous (covariate) variable and a nonlinear autoregressive exogenous model is employed to improve the performance of the model. Our results show that the performance of NARX model is more accurate and stable with better mean square error.