Miracle-dz/UniFAR-FTUs huggingface dataset:
Frontotemporal Dementia and Psychiatric Symptoms

Frontotemporal dementia and psychiatric symptoms Frontotemporal dementia (FTD) is the second most common cause of early onset dementia and is clinically characterized by progressive behavioural change, executive dysfunctions, and language difficulties. FTD is frequently confused with Alzheimer’s disease and psychiatric disorders. Clinical features of FTD include changes of personality, restlessness, loss of inhibition, apathy, social withdrawal and impulsiveness. Most patients with FTD display socially inappropriate behaviours, compulsive-like acts, poor insight and psychiatric features including hallucinations and paranoid delusions. These symptoms can lead to misdiagnosing FTD as a psychiatric disorder. The etiology of sporadic FTD is unknown. In hereditary FTD, a causative mutation in the tau gene has been identified. Three clinical FTD syndromes has been described; a behavioural variant of FTD, semantic dementia and progressive non-fluent aphasia. At the present time the term “FTD” is used to define clinical syndromes while “frontotemporal lobar degeneration” refers to underlying pathologies. A detailed history and psychiatric and neurologic examination with the usage of magnetic resonance imaging can help to distinguish FTD from other common forms of dementia and psychiatric disorders. Although no effective treatment for FTD exists, serotonin reuptake inhibitor drugs have been shown to improve behavioural symptoms.
Theoretical investigation of entropy generation effects in nanofluid flow over an inclined stretching cylinder

Laminar incompressible boundary layer flow and heat transfer of nanofluid over an inclined stretching cylinder is considered and the entropy effects are theoretically examined during the phenomena. The problem is mathematically modelled and nonlinear partial differential equations are attained. With the help of suitable similarity transformations, these partial differential equations are transformed into nonlinear ordinary differential equations which are numerically solved by utilising shooting technique with fourth-fifth order Runge-Kutta method. The results obtained are compared with the previously existing literature by considering certain limiting cases. The influence of physical parameters on flow, heat transfer and concentration of nanoparticles are analysed qualitatively with the use of graphs and tables. Furthermore, the impact of various physical parameters on local entropy generation number and averaged entropy generation number are also presented through graphs. A detailed comprehensive study has been carried out of the problem.
Language Characteristics in Children with Autism

- This paper primarily aims to investigate the language characteristics observed in the speech of children with autism. Autism, as a complex neurodevelopmental disorder, results in impairments in social interaction and communication among affected children, significantly impacting their ability to comprehend and express language effectively. Recent studies have explored several language characteristics in children with autism, such as language delay, impaired pragmatic skills, echolalia, pronoun reversal, extreme literalness, metaphorical language, neologisms, affirmation by repetition, repetitive questioning, insistence on the same verbal scenario, autistic discourse style, and poor control of prosody.
Comments on the bias distribution of PLR algorithms

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Comments on the bias distribution of PLR algorithms Bernard Vau, Henri Bourlès
Genetic significance of the trace element content in metamorphic and hydrothermal quartz: A reconnaissance study

A reconnaissance study on trace elements in metamorphic and hydrothermal quartz was carried out using quartz samples from the tin district Erzgebirge, Germany, the gold mineralization at Kasperske Hory, Czech Republic, and the gold-quartz vein deposits Muruntau and Myutenbai, Uzbekistan. A new method of sample preparation has been developed to prepare pure quartz samples by combining conventional hand-picking with microscopic and spectroscopic studies as well as acid wash/etch procedures. Preparation of monomineralic samples was followed by sample dissolution and measurement by ICP-MS. The metamorphic quartz has very low concentrations of Li (≤ 0.4 ppm), Al (≤ 30 ppm), K (≤ 35 ppm), Rb (≤ 50 ppb), Sr (≤ 0.3 ppm), and Y (≤ 15 ppb). Moreover, it is characterized by light rare earth element enriched lanthanide distribution patterns lacking Eu anomalies. The low element concentrations in metamorphic quartz are interpreted to result from recrystallization. Metamorphic quartz from alteration halos enveloping tin and gold deposits has distinctly different trace element signatures. These differences are related to the hydrothermal overprint of the pre-existing metamorphic quartz by the mineralizing fluids. Hydrothermally altered metamorphic quartz from tin deposits has elevated concentrations of Li (≥ 0.9 ppm), Al (≥ 50 ppm), K (≥ 45 ppm), Rb (≥ 250 ppb), and Y (≥ 40 ppb) whereas altered metamorphic quartz from gold deposits is characterized by elevated concentrations of Sr (≥ 0.5 ppm). The rare earth element distribution patterns of altered metamorphic quartz show variable enrichments of the heavy rare earth elements and frequently display positive Eu anomalies. Hydrothermal vein quartz from the gold deposits usually has elevated Al (≥ 50 ppm) and Sr (≥ 0.6 ppm) contents. The lanthanide distribution patterns exhibit variable enrichments of the heavy rare earth elements and commonly show positive Eu anomalies. The elevated Sr concentrations in the quartz from gold deposits are best explained by Sr release during feldspar alteration in the wall rocks. This mechanism may also account for the relative enrichment of Eu in the mineralizing fluids although other processes may not be unambiguously ruled out. © 2002 Elsevier Science B.V. All rights reserved.
Integrated analysis of transcriptome, metabolome, and histochemistry reveals the response mechanisms of different ages Panax notoginseng to root-knot nematode infection

Panax notoginseng (P. notoginseng) is an invaluable perennial medicinal herb. However, the roots of P. notoginseng are frequently subjected to severe damage caused by root-knot nematode (RKN) infestation. Although we have observed that P. notoginseng possessed adult-plant resistance (APR) against RKN disease, the defense response mechanisms against RKN disease in different age groups of P. notoginseng remain unexplored. We aimed to elucidate the response mechanisms of P. notoginseng at different stages of development to RKN infection by employing transcriptome, metabolome, and histochemistry analyses. Our findings indicated that distinct age groups of P. notoginseng may activate the phenylpropanoid and flavonoid biosynthesis pathways in varying ways, leading to the synthesis of phenolics, flavonoids, lignin, and anthocyanin pigments as both the response and defense mechanism against RKN attacks. Specifically, one-year-old P. notoginseng exhibited resistance to RKN through the upregulation of 5-O-p-coumaroylquinic acid and key genes involved in monolignol biosynthesis, such as PAL, CCR, CYP73A, CYP98A, POD, and CAD. Moreover, two-year-old P. notoginseng enhanced the resistance by depleting chlorogenic acid and downregulating most genes associated with monolignol biosynthesis, while concurrently increasing cyanidin and ANR in flavonoid biosynthesis. Three-year-old P. notoginseng reinforced its resistance by significantly increasing five phenolic acids related to monolignol biosynthesis, namely p-coumaric acid, chlorogenic acid, 1-O-sinapoyl-D-glucose, coniferyl alcohol, and ferulic acid. Notably, P. notoginseng can establish a lignin barrier that restricted RKN to the infection site. In summary, P. notoginseng exhibited a potential ability to impede the further propagation of RKN through the accumulation or depletion of the compounds relevant to resistance within the phenylpropanoid and flavonoid pathways, as well as the induction of lignification in tissue cells.
Speech disfluencies in Down Syndrome 1 RUNNING TITLE: SPEECH DISFLUENCIES IN DOWN SYNDROME Speech Disfluencies in Children with Down Syndrome

Purpose: Speech and language development in individuals with Down syndrome is often delayed and/or disordered and speech disfluencies appear to be more common. These disfluencies have been labeled over time as stuttering, cluttering or both. Findings were usually generated from studies with adults or a mixed age group, quite often using different methodologies, making it difficult to compare findings. Therefore, the purpose of this study was to analyze and describe the speech disfluencies of a group, only consisting of children with Down Syndrome between 3 and 13 years of age. Method: Participants consisted of 26 Dutch-speaking children with DS. Spontaneous speech samples were collected and 50 utterances were analyzed for each child. Types of disfluencies were identified and classified into stuttering-like (SLD) and other disfluencies (OD). The criterion of three or more SLD per 100 syllables (cf. Ambrose & Yairi, 1999) was used to identify stuttering. Additional parameters such as mean articulation rate (MAR), ratio of disfluencies, and telescoping (cf. Coppens-Hofman, et al., 2013) were used to identify cluttering and to differentiate between stuttering and cluttering. Results & Conclusion: Approximately 30 percent of children with DS between 3 and 13 years of age in this study stutter, which is much higher than the prevalence in normally developing children. Moreover, this study showed that the speech of children with DS has a different distribution of types of disfluencies than the speech of normally developing children. Although different cluttering-like characteristics were found in the speech of young children with DS, none of them could be identified as cluttering or cluttering-stuttering.
Cooling of an early Earth magma ocean in interaction with the atmosphere

We developed a 1D convective model of a cooling magma ocean that we coupled with a 1D radiativeconvective model of a primitive atmosphere [4]. Our main objective is to estimate the cooling time when the retroaction with the atmosphere is taken into account. We first describe our model and present some preliminary results of the coupled magma ocean / atmospheric model. We show that cooling time depends on the amount of volatiles released from the interior and is of order of 1 to 2 million years.
VU Research Portal Into the black box of environmental kuznets curves: optimal growth and material resource use in two trading countries

Most important environmental problems can be related to materials ﬂows through the economy. Regional and national economies use materials that are either extracted domestically or imported from other regions. Therefore, an analysis of optimal patterns of combined economic development and materials use requires that both trade and environmental aspects are taken into account. A model is presented here that optimises long-term welfare for two regions that trade in virgin and recycled materials as well as consumer goods. The regions diﬀer in one respect, namely with regard to domestic availability of a material resource. Analysis of the model shows, among other things, that the relationship between production and virgin material use can follow an Environmental Kuznets curves or an N-shaped curve. The latter points at ‘‘re-linking’’ of income growth and material resource use. Although trade of material resources and goods increases the carrying capacity of both regions, and in turn their levels of welfare, it can not prevent the re-linking phenomenon.
Severe T-mediated bone marrow aplasia in a patient with splenic lymphoma with villous lymphocytes (SLVL) previously treated with fludarabine regimen.

Splenic Lymphoma with villous lymphocytes (SLVL) is a B cell chronic lymphoproliferative disorder defined in the WHO classification as the leukemic form of splenic marginal zone lymphoma. Autoimmune diseases or second neoplasms in patients affected by B cell chronic lymphoproliferative disorders are well known conditions after fludarabine containing regimens (above all in the case of Chronic Lymphocytic Leukemia). However, T lymphoproliferative disorders able to induce a severe bone marrow aplasia were never described in patients affected by SLVL and treated with Fludarabine. We report a case of SLVL in which a severe T-mediated bone marrow aplasia occurred six months after Fludarabine treatment.
Isolation and characterization of lytic bacteriophages from hospital wastewater against multidrug-resistant Acinetobacter baumannii

Acinetobacter baumannii is one of the ESKAPE, a group of clinically important multidrug-resistant (MDR) bacteria that cause nosocomial infections in healthcare facilities, especially in intensive care units. The prevalence of MDR A. baumannii infection had been steadily increasing, posing challenges for conventional treatment. Consequently, alternative therapies had been proposed as potential solutions. An interesting topic is the evolutionary arms race between target bacteria and viruses, known as bacteriophages. Therefore, this study aims to isolate and characterize bacteriophages from hospital wastewater to determine their susceptibility to specific clinical isolates of MDR A. baumannii. To investigate the efficiency of phages against MDR A. baumannii clinical isolates, a total of 144 MDR A. baumannii clinical isolates obtained from patients at King Chulalongkorn Memorial Hospital were used as hosts for phage isolation. Three candidate phages, namely P434, P435, and P1988, were discovered. The candidate phages were characterized based on their plaque morphology, transmission electron microscopy, one-step growth curve, killing assay, adsorption rate, thermal and pH stability, and host range. Additionally, the effectiveness of phage treatment was evaluated using a mouse pneumonia model. The characterization results showed that P434 had emerged as the best candidate. Similarly, in the mouse pneumonia model, P434 demonstrated a significant decrease in bacterial load in the lungs (p<0.0001). In contrast, the presence of phages significantly increased in the phage-treated mice (p<0.0003). Histological results revealed improvement in the phage-treated mice compared to the untreated group. The study results indicated that phage therapy could effectively control MDR A. baumannii infections. � �
On the solving of matrix equation of Sylvester type

A solution of two problems related to the matrix equation of Sylvester type is given. In the first problem, the procedures for linear matrix inequalities are used to construct the solution of this equation. In the second problem, when a matrix is given which is not a solution of this equation, it is required to find such solution of the original equation, which most accurately approximates the given matrix. For this, an algorithm for constructing a general solution of the Sylvester matrix equation is used. The effectiveness of the proposed approaches is illustrated on the examples.
Chapter 5 Does Climate Modeling Help when Studying Adaptation to Environmental Changes? The Case of Ladakh, India

Ladakh is an isolated arid environment in the Western Himalayas whose population relies mainly on glacial melt water. If the predicted adverse impacts of climate change occur, rising temperatures would accelerate the retreat of glaciers and place immense stress on the traditional Ladakhi agriculture and way of life. Very few studies in hydrology and glaciology currently document physical processes happening in Ladakh and only one project has combined climate data based upon measurements of temperature and precipitation, collected by the Indian Air Force in Leh town, and perceptions of local communities in order to explore the potential impacts of climate change in the area. This information constitutes the basis for climate change-related interventions of nongovernmental organizations (NGOs), both local and international, and could help inform any future climate modeling. However, the quality of this data can be questioned on several points, it terms of accuracy, availability and, most importantly, usefulness. Moreover, this chapter discusses the relevance of this kind of data when the focus is placed upon the adaptation of local communities to global environmental changes where climate change may not be the primary cause. For instance, the region is also currently undergoing a rapid transition from subsistence farming to a market-based economy due to the integration of Ladakh into India and the growing influx of tourism. When addressing the broader context of environmental change, reliable, accurate, and available climate data and models could be useful only if used as part of a holistic approach. This approach requires research and interventions to combine scientific information with local knowledge and perceptions about the impacts of climate change to root the physical data in a “real world” context. It must also acknowledge other drivers of environmental changes such as unsustainable development.
A Nonuniform Bound to an Independent Test in High Dimensional Data Analysis via Stein’s Method

The Berry-Esseen bound for the random variable based on the sum of squared sample correlation coefficients and used to test the complete independence in high diemensions is shown by Stein’s method. Although the Berry-Esseen bound can be applied to all real numbers in R, a nonuniform bound at a real number z usually provides a sharper bound if z is fixed. In this paper, we present the first version of a nonuniform bound on a normal approximation for this random variable with an optimal rate of 1/0.5+|z|·O1/m by using Stein’s method.
Resistance to freezing and to frozen storage of Streptococcus themophilus is related to membrane fatty acid composition

The resistance to freezing and frozen storage of Streptococcus thermophilus was related to the fatty acid composition of the cell membrane. The effects of four experimental factors were investigated on the fatty acid concentrations and on the recovery of acidiﬁcation activity of S. thermophilus stored at − 20 ° C by using a complete experimental design: incorporating oleic acid in the culture medium, fermentation pH, addition of glycerol as cryoprotective agent and duration of storage. The acidi-ﬁcation activity decreased during the freezing and the frozen storage of S. thermophilus . The storage time slightly enhanced the unsaturated fatty acid concentrations. The addition of glycerol did not modify the fatty acid composition but increased the resistance to frozen storage. The addition of oleic acid and the decrease of the fermentation pH enhanced the ratio unsaturated:saturated fatty acids and improved the recovery of the acidiﬁcation activity. These results indicate that the resistance to frozen storage was closely related to the membrane fatty acid composition. We interpreted this as an adaptation of S. thermophilus to the addition of oleic acid and the unfavorable growth conditions that corresponded to a low fermentation pH.
ANALYSIS OF FREQUENCY BASED DIGITAL WATERMARKING TECHNIQUE IN CLOUD COMPUTING

: - Watermarking has been considered as a technique that provides copyright security, authentication protection to digital data. This technique is an emerging technique in terms of data security. Many techniques and algorithms have been developed for data security. It includes spatial domain or covered domain for data acquisition, in which their various properties are mainly useful for data acquisition, such as robustness, anonymity, and fidelity, etc. Also, it is also seen that covered frequency domain technique gives an excellent result; it is easy to obtain data through this technique from any other domain such as local domain etc., so at present this technique is mostly being used. Data can be strengthened through technology and good digital watermarking can be planned. Nowadays, there are various types of attacks in digital data such as data being stolen unintentionally or intentionally, for which an important plan can be made through this technique, which can include image processing attacks such as compression, frame dropping, theft, Geometric distortion, loss of speaker quality, etc. In this research paper, an in-depth research has been done on various techniques available for watermarking based on frequency domain to find out a secure technique that can withstand any type of attack involving all types of digital content.
Evaluation of outliers detection algorithms for trafﬁc congestion assessment in smart city trafﬁc data from vehicle sensors

: On-board sensors in vehicles are able to capture real-time data representations of variables conditioning the trafﬁc ﬂow. Extracting knowledge by combining data from different vehicles, together with machine learning algorithms, will help both to optimize transportation systems and maximize the drivers’ and passengers’ comfort. This paper provides a summary of the most common multivariate outlier detection methods and applies them to data captured from sensor vehicles with the aim to ﬁnd and identify different abnormal driving conditions like trafﬁc jams. Outliers detection represents an important task in discovering useful and valuable information, as has been proven in numerous researches. This study is based on the combination of outlier detection mechanisms together with data classiﬁcation methods. The output of the outlier detection phase will then be fed into several classiﬁers, which have been implemented to assess if the multivariate outliers correspond with trafﬁc congestion situations or not.
Get your Act Together

Research on elections to the European Parliament (EP) has consistently found that European elections are distinguished by a lack of European content. Such elections, in spite of the growing powers exercised by the EP, remain ‘second-order’. Clearly, however, EU-related issues have affected the performance of some political parties in EP elections, particularly in countries such as Sweden and Denmark. In our empirical analysis of the three most recent EP elections, we explain party choice as a function of both European and non-EU-related factors. Through the use of standard regression models, we find that the parties that have not ‘got their act together’ on European issues—whose internal fractionalization leads to ambiguities about their stance on EU integration—systematically perform worse. We also corroborate some of the implications of the ‘second-order’ model and resolve some empirical disputes.
Home Production Technology and Time Allocation: Empirics, Theory, and Implications

We document a set of time use patterns in both time series and cross sections. To explain these facts, we propose and estimate a model of time allocation that emphasizes the role of home production technology. We find it necessary to consider both labor-augmenting technology and total factor productivity in home production. Based on the estimated model, we study the effects of proportional tax and lump-sum transfer on time allocation and labor supply, with the roles of home production technology and wage heterogeneity highlighted