Miracle-dz/UniFAR-FTUs huggingface dataset:
Aphasic Status Epilepticus Associated with Alzheimer’s Disease: Clinical and Electrographic Characteristics

In aphasic status epilepticus (ASE), aphasia is the sole manifestation of seizure in patients with this disorder. Alzheimer’s disease (AD) is one of neurological disorders causing ASE. Herein, we report two cases of ASE associated with AD, and discuss their clinical characteristics. Patient 1 presented Broca’s aphasia, and patient 2 presented global aphasia during the ictal period. Both patients exhibited atypical ictal electroencephalographic (EEG) patterns, which improved after antiepileptic drug administration. ASE was the presenting symptom of AD in patient 1. ASE can develop at any stage of AD. Alterations in clinical symptoms and EEG patterns after treatment with antiepileptic drug are the key to diagnosis. Prompt diagnosis and treatment are critical for preventing further consciousness dysfunction.
Tourisme et vie urbaine dans l'agglomération d'Arcachon

Resume. — La commune d'Arcachon fut detachee de La Teste en 1857. La fin du siecle vit se developper la ville basse au plan en damier et une ville d'hiver dans les dunes boisees. La fonction climatique a fait place a une fonction balneaire estivale. Dans la periode contemporaine, les lotissements s'etendent, vers le sud, au Moulleau et au Pyla. L'urbanisation gagne ensuite les villages de pecheurs de La Teste et de Gujan ; puis des constructions nouvelles commencent a renover le centre urbain. L'ostreiculture et la construction navale de plaisance restent les activites permanentes principales, dans une agglomeration de 40000 habitants ou le niveau d'emploi est mediocre et, en consequence, la mobilite de la population tres grande. L'influence directe de l'agglomeration bordelaise est considerable.
Transit Migration: All Roads Lead to America

The paths of many migrants include multiple destinations and transit routes, yet this pattern is almost never reflected in empirical analyses. For example, 9 percent of recent immigrants to the United States arrived from a transit country as opposed to the country where they were born. Among those arriving from many high-income countries, the transit migration ratio exceeds 30 percent. To explain these patterns, this paper constructs a dynamic model of global migration that allows transit migration opportunities to impact the attractiveness of locations. After estimating the structural parameters of the model, the paper simulates various counterfactual scenarios to highlight the spillovers of transit migration paths.
Stepped-Tube Backside Cavity Piezoelectric Ultrasound Transducer Based on Sc0.2AI0.8N Thin Films

This paper presents a novel piezoelectric micromachined ultrasonic transducer (PMUT) with theoretical simulation, fabrication, and testing. Conventional methods using a PCB or an external horn to adjust the PMUT acoustic field angle are limited by the need for transducer size. To address this limitation, the stepped-tube (expanded tube) backside cavity PMUT has been proposed. The stepped-tube PMUT and the tube PMUT devices have the same membrane structure, and the acoustic impedance matching of the PMUT is optimized by modifying the boundary conditions of the back cavity structure. The acoustic comparison experiments show that the average output sound pressure of the stepped-tube backside cavity PMUT has increased by 17%, the half-power-beam-width (θ-3db) has been reduced from 55° to 30° with a reduction of 45%, and the side lobe level signal is reduced from 147 mV to 66 mV. In addition, this work is fabricated on an eight-inch wafer. The process is compatible with standard complementary metal oxide semiconductor (CMOS), conditions are stable, and the cost is controllable, plus it facilitates the batch process. These conclusions suggest that the stepped-tube backside cavity PMUT will bring new, effective, and reliable solutions to ranging applications.
DN-SLAM: A Visual SLAM With ORB Features and NeRF Mapping in Dynamic Environments

Vision simultaneous localization and mapping (SLAM) is essential for adapting to new environments and for localization and is therefore widely used in robotics. However, accurate location estimation and map consistency remain challenging issues in dynamic environments. In addition, building dense scene maps is critical for spatial artificial intelligence (AI) applications such as visual localization and navigation. We propose a visual SLAM with ORB features and NeRF mapping in dynamic environments (DN-SLAM), a visual SLAM system based on oriented FAST and rotated BRIEF (ORB)-SLAM3, which uses ORB features to track dynamic objects, uses semantic segmentation to obtain potentially moving objects, and combines optical flow and the segment anything model (SAM) to perform fine segmentation and reduce the redundancy by culling dynamic objects to enhance the performance of the SLAM system in dynamic environments. Meanwhile, 3-D rendering using neural radiation field removes dynamic objects and renders them. We performed experiments on both the Technical University of Munich (TUM) red, green, blue (RGB)-D dataset and the Bonn dataset, and we compared our results with the advanced dynamic SLAM algorithms available. Our findings reveal that, when compared to ORB-SLAM3, DN-SLAM significantly improves trajectory accuracy in highly dynamic environments and achieves more accurate localization than other advanced dynamic SLAM methods and successful 3-D reconstruction of static scenes.
IDENTIFICACI ON DE CRITERIOS UTILIZADOS POR ESPECIALISTAS TRADICIONALES EN LA ADAPTACI ON DE LA BIODIVERSIDAD LOCAL EN COMUNIDADES MAPUCHE, REGI ON DE LA ARAUCAN IA (CHILE)

The objective of this paper is to present the results of a study in four territories in the south of Chile that identify the criteria used by traditional Mapuche specialists relative to adaptation and domestication of vegetal species on his home garden. Studies of Almekinders et al. (2000) and Celis (2003) show that some farmers present a major intensity of seed and plants exchange with her neighbours and that in addition they possess in their lands a major diversity of species and crops varieties compared to the rest of the community. The authors of the study define that these people fulfill a Curator role for the rest of the community. The methodology use quantitative and ethno-ecological analysis recommended by Toledo (2002). In the category "Wild species", the criteria of establishment with major frequency are "value of use", following by the criteria of " symbolic ceremonial value " and in the third place the criteria of "Biodiversity conservation ". In the category "Cultivated species", the criteria of establishment with major frequency is " value of use ", this criteria grouped the 40 % of the motivations, standing out this one to other categories, following by the criteria of " aesthetic and sensory value " and the third criteria "inheritance" with "Biodiversity conservation " present the same percentage. Finally the diversity of criteria, the traditional knowledge for adaptation and domestication of the local biodiversity, make the curators to have a strategic role in biodiversity conservation and climate change adaptability.
Saberes ancestrais como promoção à saúde física e mental: um olhar agroecológico

A agricultura industrial usa muitos xenobióticos que afetam o microbioma humano, desencadeia disbiose e compromete o desenvolvimento neurológico e neuropsiquiátrico. Em contrapartida, hábitos alimentares ancestrais indicam que a diversificação alimentar, incluindo vegetais e proteínas, isentos de agroquímicos, promovem a saúde mental e física além que viabilizar o equilíbrio no meio ambiente. Como solução deve-se unir o saber ancestral com a Agroecologia para resgatar a saúde humana.
A fusion model integrating magnetic resonance imaging radiomics and deep learning features for predicting alpha-thalassemia X-linked intellectual disability mutation status in isocitrate dehydrogenase–mutant high-grade astrocytoma: a multicenter study

Background The mutational status of alpha-thalassemia X-linked intellectual disability (ATRX) is an important indicator for the treatment and prognosis of high-grade gliomas, but reliable ATRX testing currently requires invasive procedures. The objective of this study was to develop a clinical trait-imaging fusion model that combines preoperative magnetic resonance imaging (MRI) radiomics and deep learning (DL) features with clinical variables to predict ATRX status in isocitrate dehydrogenase (IDH)-mutant high-grade astrocytoma. Methods A total of 234 patients with IDH-mutant high-grade astrocytoma (120 ATRX mutant type, 114 ATRX wild type) from 3 centers were retrospectively analyzed. Radiomics and DL features from different regions (edema, tumor, and the overall lesion) were extracted to construct multiple imaging models by combining different features in different regions for predicting ATRX status. An optimal imaging model was then selected, and its features and linear coefficients were used to calculate an imaging score. Finally, a fusion model was developed by combining the imaging score and clinical variables. The performance and application value of the fusion model were evaluated through the comparison of receiver operating characteristic curves, the construction of a nomogram, calibration curves, decision curves, and clinical application curves. Results The overall hybrid model constructed with radiomics and DL features from the overall lesion was identified as the optimal imaging model. The fusion model showed the best prediction performance with an area under curve of 0.969 in the training set, 0.956 in the validation set, and 0.949 in the test set as compared to the optimal imaging model (0.966, 0.916, and 0.936, respectively) and clinical model (0.677, 0.641, 0.772, respectively). Conclusions The clinical trait-imaging fusion model based on preoperative MRI could effectively predict the ATRX mutation status of individuals with IDH-mutant high-grade astrocytoma and has the potential to help patients through the development of a more effective treatment strategy before treatment.
Organic Farming: A Review

In the ancient time, agriculture was practiced without the use of artificial chemicals. The use of artificial chemicals such as fertilizers and pesticides came into picture during the mid-19th century. This kind of agricultural practice was causing harm to the environment. With the rapid change in farming practices, organic farming came into existence in the 20th century. It made use of environment friendly practices by avoiding the use of artificial chemicals and making use of organic matter to raise crops. Organic food is beneficial to human health and the practice of organic farming keeps the environment clean.
Pemodelan Pencampuran Dua Cairan dalam Lid-Driven Cavity Menggunakan Pendekatan Computational Fluid Dynamics

Lid-driven cavity adalah aliran dalam rongga dengan tutup yang bergerak. Proses pencampuran dalam lid-driven cavity merupakan kajian yang menarik untuk dilakukan. Tujuan dari penelitian ini adalah untuk memodelkan proses pencampuran dua fluida cair dalam lid-driven cavity menggunakan perangkat lunak open source OpenFOAM dengan menerapkan model turbulen RANS k-epsilon. Penelitian dilakukan melalui tiga tahap, yaitu pre-processing, solving dan post-processing. Validasi hasil simulasi dilakukan setelah semua proses simulasi selesai. Hasil penelitian menunjukan bahwa konsentrasi dua cairan fluida sesuai dengan data eksperimen. Sudut geometri yang diuji terdiri dari 0°, 5°, 10°, 15°, 20° dan 25°. Hasil simulasi pencampuran pada nilai 0°, 5°, 10°, 15° memiliki waktu yang lebih singkat dan menghasilkan konsentrasi sebesar 0.247, 0.255, 0.270, dan 0.295. Pencampuran dua fluida dengan ° dan 25° telah menghasilkan konsentrasi sebesar 0.342 dan 0.400. Pencampuran pada kondisi ini memerlukan waktu perhitungan yang lebih lama.
New data regarding the distribution and status of the herpetofauna from urban and peri-urban habitats in the city of Pitești, Argeș county (Romania)

Identifying urban and peri-urban areas inhabited by species of reptiles and amphibians represents the first step in understanding how herpetofauna can adapt to anthropogenic factors. This is particularly true for regions where sampling biases have left significant gaps in our knowledge of fauna distribution, such as Romania. The aim of the study is to show my preliminary observations on the herpetofauna and its use of habitats in the urban and peri-urban environments from the city of Pitești, Argeș County, located in southern Romania. I identified nine species of amphibians (Salamandra salamandra, Lissotriton vulgaris, Triturus cristatus, Bombina variegata, Bufo bufo, Bufotes viridis, Hyla orientalis, Pelophylax ridibundus and Rana dalmatina) and nine species of reptiles (Emys orbicularis, Trachemys scripta, Lacerta agilis, Lacerta viridis, Podarcis muralis, Anguis colchica, Coronella austriaca, Natrix natrix and Natrix tessellata). The most abundent species in urban environments were Podarcis muralis and Bufotes viridis, with other species naturally present in the same habitats being Lacerta viridis, Hyla orientalis and Bufo bufo. In an artificial urban pond there were present Emys orbicularis and the invasive species Trachemys scripta (together with other exotic turtles belonging to other genera) as a result of translocation and releases. When taking into account the peri-urban areas as well, the most abundant species in the study area were Bombina variegata, Rana dalmatina and Bufotes viridis, the first two being limited to the woodland area. The most widespread species were Hyla orientalis, Bufotes viridis, Lacerta viridis, Podarcis muralis and Natrix natrix. These widespread species were present throughout all the study area. I have also recorded some species of reptiles with very few observations in the Argeș County: Natrix tessellata and Trachemys scripta. Finally, I identified anthropogenic factors that negatively impact the herpetofauna, such as habitat loss, direct persecution, road mortality, invasive species and poaching.
Implementation of Machine Learning and Its Interpretation for Mapping Social Welfare Policy in Indonesia

This research leverages data from the 2022 Early Socio-Economic Registration (Regsosek) activity to develop a machine learning model capable of predicting family expenditure levels based on the Proxy Mean Test (PMT) with high accuracy. By integrating the SHAP (SHapley Additive exPlanations) method for model interpretation, we identify the contributions of socio-economic features to expenditure predictions and link them to relevant social assistance programs. We compare two regions, Kulonprogo Regency and Yogyakarta City, representing varying poverty levels, and identify unique characteristics influencing family welfare in each area. The results highlight that effective policy interventions must be tailored to the unique characteristics of each region and family, taking into account dimensions such as housing, education, income, and community expenditures. This research provides valuable insights for policymakers, demonstrating that successful poverty alleviation policies are data-driven and adaptable to the diverse socio-economic realities across regions.
De variatie van de Nederlandse diminutieve allomorfie: een empirische benadering

This article deals with the variation of diminutive forms in contemporary standard Dutch. Various aspects of the Dutch diminutive are well-documented in the literature. However, there is a distinct lack of empirical research in connection with the variation of the diminutive forms. The article provides a brief overview of diminutive formation in Dutch as well as an account of a corpus-based study examining a group of words that exhibit variation in their diminutive forms in contemporary standard Dutch, namely monosyllabic words ending in either a non-coronal stop or a velar fricative preceded by a short vowel. The goal of the study is to provide insight on the behaviour of the diminutive forms of these stems.
New evidence for fractional pressure ratio prediction by pulsatility index from transcranial Doppler in patients with symptomatic cerebrovascular stenosis disease

Background The pulsatility index (PI) derived from transcranial Doppler (TCD) assessment may represent the cerebral resistance and altered cerebral blood flow. The purpose of this study was to assess the performance of the TCD PI in correlation with wire-based fractional pressure ratio (FPR). Methods This study included 33 patients with symptomatic atherosclerotic lesions of the extracranial and intracranial large arteries, specifically the internal carotid artery, middle cerebral artery (MCA), vertebral artery (VA) V4 segment, and basilar artery (BA), all of which exhibited luminal stenosis ranging from 50% to 70%. TCD was performed prior to angiography in order to determine the flow distal to the lesion. We performed cerebrovascular angiography with a pressure wire to measure the FPR of vessels with stenotic lesions. Bland-Altman analysis and ordinal least square (OLS) linear regression were used to quantify the correlation between PI and FPR. Results A total of 42 TCD data points were analyzed. At the TCD locations distal to the lesions, the correlation coefficients were no less than 0.90%, with almost all P values <0.001, which indicated very strong positive correlations; the exception to this was the distal TCD for MCA segment lesions (r=0.897; P=0.015) and VA V4 segment (r=0.964; P=0.036). The Bland-Altman plot demonstrated a small difference (0.003) between the distal TCD PI and the FPR, with an acceptable 95% confidence interval [95% confidence interval (CI): 0.06–0.12]. Conclusions The PI obtained through TCD assessment distal to the stenotic lesion exhibited a correlation with the FPR computed using pressure wire measurements.
TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems

Compute-in-Memory (CIM) implemented with Resistive-Random-Access-Memory (RRAM) crossbars is a promising approach for accelerating Convolutional Neural Network (CNN) computations. The growing size in the number of parameters in state-of-the-art CNN models, however, creates challenge for on-chip weight storage for CIM implementations, and CNN compression becomes a crucial topic of exploration. Tensor Train (TT) decomposition can be used to decompose a tensor into smaller ones with fewer parameters, at the cost of increased number of computations. In this work we propose a technique to minimize intermediate operations across the full convolution operation and improve hardware utilization to implement TT-CNNs in CIM systems. We first use an iterative decompose-and-fine-tune method to prepare TT-CNNs. We then propose an inter-convolutional-step reuse scheme to reduce the required operation count and post-mapping RRAM count for TT-CNN implementation in tiled-CIM architecture. We demonstrate that through proper mapping, pipelining, and reuse, effective compression ratio of 12 and 20 with 0.8% and 1.4% accuracy drop, respectively for WRN; and effective compression ratio of 6 and 11 with 0.9% and 1.2% accuracy drop for VGG8. We also show that around 30% higher hardware utilization than the original CNN format can be achieved using the proposed TT-CIM approaches.
Evaluation of the Antimicrobial Potential of Cashew Nut Shell Liquid Extract (Anacardium occidentale) against Enterococcus faecalis Strains

The resistance of microorganisms present in the root canal system is a problem associated with the failure of endodontic treatments. Therefore, the search for treatments based on herbal extracts has been an alternative to prevent persistent endodontic infections. The aim of this in vitro study was to evaluate the antimicrobial potential of cashew nut shell liquid extract (E-CNSL) against Enterococcus faecalis strains. The antimicrobial activity was evaluated using the agar well diffusion method. Petri dishes containing Mueller Hinton agar were inoculated on the surface by the microorganism using a swab, then 20 μL of the E-CNSL solution at concentrations of 500 μg/mL and 1000 μg/mL was aseptically deposited in the wells of the inoculated media. The plates were incubated at 37 °C for 24 hours. All the strains studied showed an inhibition halo ≥6 mm at both concentrations of the extract. Therefore, the extract of cashew nut shell liquid (A. occidentale) showed a potential antimicrobial effect against E. faecalis strains.
Valuación de empresas de Telecomunicaciones con parámetros operativos

Key words: Capita asset price, financial expectations, operative factors Abstract. The value of telecommunication companies measured in terms of their stock value, may be explained not only by their historical financial results and their financial expectations, but also by the evaluation of other operative factors such as: technological change, organizational change, market strategy, acquisition cost, customers portfolio, fusions and institutional changes (regulations). Due to the importance of the telecommunication sector in the stock market, as well as in the national economy, an analysis which improves its knowledge and allows a better valuation of these companies is required. Models for asset pricing CAPM (Capital Asset Price Model) and APT (Arbitrage Price Theory) have been developed and proved outside national context, besides, according to theory; their effectiveness for determining stock price depends on the stock market efficiency Palabras Clave: Expectativas financieras, factores operativos, fijacion de precios de capital Resumen. El valor de empresas de telecomunicaciones medidos en terminos del valor de sus acciones, no solo se explica por la valuacion de sus resultados financieros historicos y sus expectativas financieras si no tambien por la valuacion de otros factores operativos tales como cambio tecnologico, cambio organizacional, estrategia de mercado, costo de adquisicion, valor de la cartera de clientes, fusiones, y cambios institucionales (regulaciones). Por la importancia que presenta el sector de telecomunicaciones en el mercado de valores y en la economia nacional, se requiere de un analisis que permita su mejor conocimiento y control del valor. Los modelos desarrollados para la fijacion de precios de activos; CAPM (Modelo de Fijacion de Precios de Capital) y APT (Teoria de Fijacion de Precios de Arbitraje) han sido generalmente probados y desarrollados fuera del contexto nacional y su nivel de efectividad para determinar el precio de una accion y que de acuerdo a la teoria depende fundamentalmente del nivel de eficiencia del mercado de capitales.
A Relevance Theory Analysis of Joe Biden's Interview on ABC’s Late-Night Talk Show

This research aims to conduct a relevance-theoretic analysis of an interview with American President Joe Biden on ABC's late-night talk show. Relevance Theory was developed by Sperber and Wilson (1986/1995) as an inference-based framework for understanding the cognitive interpretation of language. The model posits that in any given circumstance, the recipient must consider what others say relevant. The recipient must consider what others say is as relevant in any given circumstance. The descriptive-qualitative approach was used to illustrate how Biden constructs his sentences to provide the listener with sufficient evidence to grasp his intended meaning and how the listener employs comprehension strategies to understand the speaker's underlying meaning. Therefore, the research first reveals that Biden conveys his communicative goals clearly and gives enough supporting evidence for the receiver to deduce some of his intentions. Second, for effective communication, both parties must share cognitive context.