Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Optimized Long Short-Term Memory For Time-Series Forecasting of Electric Vehicles Battery Charging

The last decade has seen a significant rise in the adoption and development of Electric Vehicles (EVs), driven by environmental concerns, technological advancements, and governmental support. Batteries, central to EVs, have witnessed groundbreaking innovations in terms of energy density, charging speeds, and longevity. Expanding charging infrastructure and the automotive industry's investment in EV research have made them more mainstream. Effective Battery Management (BM), which includes monitoring essential parameters and thermal management, is critical for the longevity and reliability of EVs. Accurate charge prediction, in particular, aids in trip planning, reduces range anxiety and facilitates cost-effective charging coordinated with dynamic electricity pricing. Traditional models like linear regression and Autor-Rgressive Integrated Moving Average (ARIMA) have been standard for EV battery charge prediction. However, these often struggle with the dynamic nature of EV charging data. Even models like the vanilla Long Short-Term Memory (LSTM), which are adept at recognizing long-term patterns, require meticulous hyperparameter tuning. This work introduces the DWT-DE-LSTM model, which utilizes the Discrete Wavelet Transform (DWT) to dissect battery charging data at different resolutions and a Differential Evolution (DE) strategy for model optimization. Tests using the Panasonic 18650PF Li-ion Battery Dataset revealed the superior efficacy of the DWT-DE-LSTM model, emphasizing its suitability for real-world battery charge prediction.
Constructor Theory as Process Theory

Constructor theory is a meta-theoretic approach that seeks to characterise concrete theories of physics in terms of the (im)possibility to implement certain abstract"tasks"by means of physical processes. Process theory, on the other hand, pursues analogous characterisation goals in terms of the compositional structure of said processes, concretely presented through the lens of (symmetric monoidal) category theory. In this work, we show how to formulate fundamental notions of constructor theory within the canvas of process theory. Specifically, we exploit the functorial interplay between the symmetric monoidal structure of the category of sets and relations, where the abstract tasks live, and that of symmetric monoidal categories from physics, where concrete processes can be found to implement said tasks. Through this, we answer the question of how constructor theory relates to the broader body of process-theoretic literature, and provide the impetus for future collaborative work between the fields.
The Mechanisms of Regulated Cell Death: Structural and Functional Proteomic Pathways Induced or Inhibited by a Specific Protein—A Narrative Review

Billions of cells die in us every hour, and our tissues do not shrink because there is a natural regulation where Cell Death (CD) is balanced with cell division. The process in which cells eliminate themselves in a controlled manner is called Programmed Cell Death (PCD). The PCD plays an important role during embryonic development, in maintaining homeostasis of the body’s tissues, and in the elimination of damaged cells, under a wide range of physiological and developmental stimuli. A multitude of protein mediators of PCD have been identified and signals have been found to utilize common pathways elucidating the proteins involved. This narrative review focuses on caspase-dependent and caspase-independent PCD pathways. Included are studies of caspase-dependent PCD such as Anoikis, Catastrophe Mitotic, Pyroptosis, Emperitosis, Parthanatos and Cornification, and Caspase-Independent PCD as Wallerian Degeneration, Ferroptosis, Paraptosis, Entosis, Methuosis, and Extracellular Trap Abnormal Condition (ETosis), as well as neutrophil extracellular trap abnormal condition (NETosis) and Eosinophil Extracellular Trap Abnormal Condition (EETosis). Understanding PCD from those reported in this review could shed substantial light on the processes of biological homeostasis. In addition, identifying specific proteins involved in these processes is mandatory to identify molecular biomarkers, as well as therapeutic targets. This knowledge could provide the ability to modulate the PCD response and could lead to new therapeutic interventions in a wide range of diseases.
Datos para el estudio del periodo prenatal en México, desde la antropología física

Las condiciones maternas y el ambiente en el que tiene lugar la gestacion son de gran importancia para el crecimiento y desarrollo del producto, ademas de influir en la expresion del potencial de crecimiento y el estado de salud en la vida posnatal. El proposito de este trabajo es realizar un acercamiento desde la antropologia fisica al estudio del crecimiento intrauterino. Se parte de la propuesta de la programacion fetal, que analiza el origen de ciertas enfermedades desde el periodo prenatal, y su influencia en el funcionamiento de algunos organos o sistemas como causa de algunas enfermedades cronicas en la vida adulta. El conocimiento de las condiciones en las cuales ocurren los procesos de crecimiento y maduracion en el curso de la ontogenia es fundamental para entender la naturaleza de las interacciones herencia-ambiente en la construccion de los seres humanos.
Critical Correlation Between Obesity and Cardiovascular Diseases and Recent Advancements in Obesity

Scientific literature has investigated and well-documented the complex relationship between obesity and cardiovascular diseases. Obese people are much more likely to have atrial fibrillation, dyslipidemia, diabetes, and coronary artery disease, among other cardiovascular conditions. Additionally, obesity poses a severe risk for diseases like hypertension, heart failure, and atherosclerotic heart diseases, affecting various aspects relating to their underlying mechanisms, diagnosis, and clinical effects. This article summarizes recent developments in our understanding of and response to obesity. Pharmacotherapy, gut microbiome research, bariatric surgery, digital health solutions, behavioral interventions, and precision medicine are just a few of the fields in which these developments have been made. While liposuction offers a less invasive option for redistributing volume and getting positive results, bariatric surgery remains the most effective treatment for severe obesity. Emphasis is placed on the pathophysiological mechanisms that underlie the complex interactions between obesity and a number of diseases, such as atrial fibrillation, diabetes, hypertension, dyslipidemia, and coronary artery disease. The significance of lifestyle changes in reducing the cardiovascular risks associated with obesity, such as atrial fibrillation and heart disease, is emphasized. To improve overall cardiovascular health and achieve better clinical outcomes, obesity must be promptly identified and actively managed. Investigations into how the gut microbiome affects obesity, the creation of novel pharmacological treatments for appetite suppression and metabolic enhancement, improvements in bariatric surgery methods that emphasize patient success and safety, as well as creative digital health solutions and behavioral treatments, are some examples of emerging research fields. In addition, precision medicine approaches, including the modulation of the gut microbiome through dietary changes and supplements, hold great promise in combating obesity and its associated comorbidities and have the potential to revolutionize the management of obesity by tailoring treatments to the specific needs of individual patients.
The Laboratory Diagnosis of Malaria: A Focus on the Diagnostic Assays in Non-Endemic Areas

Even if malaria is rare in Europe, it is a medical emergency and programs for its control should ensure both an early diagnosis and a prompt treatment within 24–48 h from the onset of the symptoms. The increasing number of imported malaria cases as well as the risk of the reintroduction of autochthonous cases encouraged laboratories in non-endemic countries to adopt diagnostic methods/algorithms. Microscopy remains the gold standard, but with limitations. Rapid diagnostic tests have greatly expanded the ability to diagnose malaria for rapid results due to simplicity and low cost, but they lack sensitivity and specificity. PCR-based assays provide more relevant information but need well-trained technicians. As reported in the World Health Organization Global Technical Strategy for Malaria 2016–2030, the development of point-of-care testing is important for the improvement of diagnosis with beneficial consequences for prompt/accurate treatment and for preventing the spread of the disease. Despite their limitations, diagnostic methods contribute to the decline of malaria mortality. Recently, evidence suggested that artificial intelligence could be utilized for assisting pathologists in malaria diagnosis.
Diagenetic processes and nutrient fluxes at the sediment-water interface, northern Adriatic Sea, Italy

Early diagenetic processes that control pore-water chemistry and nutrient fluxes at the sediment-water interface were studied in late summer 1989 and spring 1990 at four sites influenced by fine sediments of the Po River. Parameters on the solid fraction (grain size and C, N and P) and pore- water profiles of SO42-, NO3-, NH3, alkalinity, PO43-, Fe, Mn, Ca and Mg were determined. Data interpretation was supported by application of kinetic and stoichiometric modelling. Nutrient fluxes were calculated by Fick's first law. In the prodelta station the pore-water profiles showed large depletion in SO42- ions, jointly with the increase with depth of alkalinity, NH3 and PO43- concentrations, thus indicating anaerobic decomposition of organic matter, mainly due to bacterial sulfate reduction. At the other three sites the results were completely different. Nutrient concentrations in pore water were one order of magnitude lower. The peaks of alkalinity, NH3 and PO43- values near the interface and the constant presence of SO42- ions indicate aerobic decomposition of organic matter in the uppermost sediment. Nutrient fluxes showed much higher values in the prodelta station, whereas fluxes in the remaining stations decreased southward. In addition, seasonal variations produced higher summertime fluxes. The clear-cut difference in diagenetic processes as a function of the distance from the main Po River mouth can be explained by the rapid burial of sediments rich in organic matter and inorganic compounds in the prodelta station. At the other stations, the lower sedimentation rate and more efficient bioturbation and resuspension processes cause a prolonged exposure of sediments to aerobic metabolization reactions before burial.
A Comprehensive Analysis of Tn and STn Antigen Expression in Esophageal Adenocarcinoma

Simple Summary Esophageal adenocarcinoma is a type of cancer that originates in cells lining the lower part of the esophagus, the tube that connects the throat to the stomach. This cancer specifically arises from glandular cells, which produce mucus to help lubricate the lining of the esophagus. In this work, we investigated whether and to what extent truncated O-glycans, called Tn and STn antigens, are expressed under pathophysiological conditions and whether these correlate with clinicopathological data and overall survival. This investigation is particularly significant in the context of targeted therapies, since Tn and STn antigens are tumor-specific target structures. Abstract Differential glycosylation, marked by the presence of truncated O-glycans, is a distinctive feature of epithelial-derived cancers. However, there is a notable gap in research regarding the expression of Tn and STn antigens in esophageal adenocarcinoma (EAC). To address this, we employed commercially available antibodies, previously validated for Tn and STn antigens, to analyze two cohorts of EAC tissues. Initially, large-area tissue sections from formalin-fixed paraffin-embedded (FFPE) EAC and corresponding healthy tissues were subjected to immunohistochemistry (IHC) staining and scoring. Subsequently, we evaluated the RNA expression levels of crucial O-glycosylation related genes—C1GALT1 and C1GALT1C1—using a quantitative real-time polymerase chain reaction (qRT-PCR). In a comprehensive analysis, a substantial cohort of EAC tissues (n = 311 for Tn antigen, n = 351 for STn antigen) was investigated and correlated with clinicopathological data. Our findings revealed that Tn and STn antigens are highly expressed (approximately 71% for both) in EAC, with this expression being tumor-specific. Notably, Tn antigen expression correlates significantly with the depth of tumor cell infiltration (p = 0.026). These antigens emerge as valuable markers and potential therapeutic targets for esophageal adenocarcinoma.
Isolation of Potent Endophytic Bacteria Able to Boost Plant Growth and Control Pathogens.

Endophytic bacteria are promising source of plant probiotics due to their ability to promote plant growth and control pathogens. This study aims to isolate diverse endophytic bacteria capable of boosting plant growth and controlling pathogens. A total of 62 endophytic bacteria were isolated from the stems, leaves and roots of the flowering plant ( Matthiola incana ) , the potato plant ( Solanum tuberosum ) , the Prickly pear plant ( Opuntia-ficus indica ) , and seedlings of Acacia sp. trees. Endophytic bacterial isolates were screened for their production of indole acetic acid (IAA) and cellulase enzyme, as well as their antagonistic activities against potato pathogens such as Ralstonia solanacearum and Fusarium oxysporum . The most promising endophytic isolates ML7 and PL10 showed the highest productivity of IAA, 69.1 and 64.8 µg/ml respectively. They also exhibited high cellulase activities on Congo red plates showing clear zone/colony diameters ratios of 3.36 and 2.8 respectively. The antagonistic activities of ML7 and PL10 against R. solanacearum were represented as 6 and 16 mm inhibition zones diameters, while the inhibition zones diameters representing the antagonistic activities of ML7 and PL10 against F. oxysporum were 58 and 7 mm , respectively. Isolates ML7 and PL10 exhibited a good ability to survive in a broad range of temperatures from 15 to 45 °C and upon exposure to direct UV radiation for 3 hours. Finally, isolates ML7 and PL10 were identified as Achromobacter marplatensis and Bacillus velezensis , respectively. Therefore, it is highly recommended that they can be used as plant probiotics in future field studies.
Past sea surface temperatures as measured by different proxies—A cautionary tale from the late Pliocene

The paleoclimate community uses a variety of different proxies to reconstruct past sea surface temperatures. Estimates from different paleothermometers are often used interchangeably despite a scarcity of studies exploring the validity of this practice. Here, we provide an orbital resolution case study from the Pliocene using Mg/Ca and alkenone paleothermometry that reinforces results from previous studies showing consistent estimates for some climate parameters and inconsistent results for others. We argue that the paleoclimate community should undertake an effort to more systematically evaluate if, when, and where climate estimates from different paleothermometers can be used interchangeably.
Sentiment interpretability analysis on Chinese texts employing multi-task and knowledge base

With the rapid development of deep learning techniques, the applications have become increasingly widespread in various domains. However, traditional deep learning methods are often referred to as “black box” models with low interpretability of their results, posing challenges for their application in certain critical domains. In this study, we propose a comprehensive method for the interpretability analysis of sentiment models. The proposed method encompasses two main aspects: attention-based analysis and external knowledge integration. First, we train the model within sentiment classification and generation tasks to capture attention scores from multiple perspectives. This multi-angle approach reduces bias and provides a more comprehensive understanding of the underlying sentiment. Second, we incorporate an external knowledge base to improve evidence extraction. By leveraging character scores, we retrieve complete sentiment evidence phrases, addressing the challenge of incomplete evidence extraction in Chinese texts. Experimental results on a sentiment interpretability evaluation dataset demonstrate the effectiveness of our method. We observe a notable increase in accuracy by 1.3%, Macro-F1 by 13%, and MAP by 23%. Overall, our approach offers a robust solution for enhancing the interpretability of sentiment models by combining attention-based analysis and the integration of external knowledge.
Clerodane Diterpenes from Croton Species: Distribution and a Compilation of their 13C NMR Spectral Data

The present work is a review of the literature of clerodane diterpenes from Croton species. It contains a compilation of 13C NMR data of 83 of these diterpenoids and their biological activities. This review covers a period from 1969 to October 2005 and 224 references are cited.
Estimation of Reference Evapotranspiration with Artificial Neural Networks Using Values of Time and Location

In this study, the easy and economic way of prediction of the reference Evapotranspiration (ETo), an important factor in management of limited water resources, was aimed. Accordingly, Evapotranspiration was predicted with the helping Artificial Neural Networks (ANN) ability in solving the complex cause-and-effect relationships by using basic natural data instead of large amount of real meteorological data that require various difficulties, high costs, and longer durations. In this context, numerous network projects in different structures and features have been generated. In these projects, location variables such as time, latitude, elevation, and distance to sea have been used as input data while FAO PM ETo has been used as output value. These projects have been tested by the training with 6 different training algorithms and different iterations; ANN with the highest prediction success was identified. On the selected network, Determination Coefficient (R 2 ), the Mean Absolute Percentage Error (MAPE), and the Mean Absolute Error (MAE) between the ANN predictions and the FAO PM ETo were 0.98, 11.9%, and 0.24 mm day -1 , respectively.
EXPERIMENTAL EVIDENCE THAT VEHICLE TRAFFIC CHANGES BURROW ARCHITECTURE AND REDUCES POPULATION DENSITY OF GHOST CRABS ON SANDY BEACHES

Driving of off-road vehicles on beaches and coastal dunes is part of the recreational activity spectrum in many coastal areas. Although this practice can cause environmental harm, controlled experiments to test specific ecological impacts of vehicles are rare on high-energy shores. Here we use an experimental approach, where sections of a beach were repeatedly driven over by a vehicle, to demonstrate effects on ghost crabs (Genus Ocypode) inhabiting a beach in eastern Australia. Vehicle traffic caused a significant reduction in crab burrow density by 66 % and the remaining burrows were smaller by 22 %, suggesting impacts on both population size and structure. Crabs also responded behaviourally to vehicle disturbance by altering their burrow architecture to simpler and deeper forms. Experimental data from this study not only add to a growing body of evidence highlighting deleterious environmental effects resulting from recreational vehicle use, but clearly demonstrate that environmental harm is a direct and undisputable consequence of vehicle traffic on beaches. This brings into focus the need to implement visitor management strategies that meet conservation targets without dismissing the social, cultural and economic dimensions of vehicle-based recreation.
Longitudinal patterns of inflammatory mediators after acute HIV infection correlate to intact and total reservoir

Background Despite the beneficial effects of antiretroviral therapy (ART) initiation during acute HIV infection (AHI), residual immune activation remains a hallmark of treated HIV infection. Methods Plasma concentrations of 40 mediators were measured longitudinally in 39 early treated participants of a Belgian AHI cohort (HIV+) and in 21 HIV-negative controls (HIV-). We investigated the association of the inflammatory profile with clinical presentation, plasma viral load, immunological parameters, and in-depth characterization of the HIV reservoir. Results While levels of most soluble mediators normalized with suppressive ART, we demonstrated the persistence of a pro-inflammatory signature in early treated HIV+ participants in comparison to HIV- controls. Examination of these mediators demonstrated a correlation with their levels during AHI, which seemed to be viremia-driven, and suggested involvement of an activated myeloid compartment, IFN-γ-signaling, and inflammasome-related pathways. Interestingly, some of these pro-inflammatory mediators correlated with a larger reservoir size and slower reservoir decay. In contrast, we also identified soluble mediators which were associated with favorable effects on immunovirological outcomes and reservoir, both during and after AHI. Conclusion These data highlight how the persistent pro-inflammatory profile observed in early ART treated individuals is shaped during AHI and is intertwined with viral dynamics
PLANKTONIC FORAMINIFERA: BASIC MORPHOLOGY AND ECOLOGIC IMPLICATIONS

Three basic variables suffice for building geometric models of planispirally coiled foraminifera with spherical chambers. They are (1) the ratio between successive chamber radii, (2) the angle between the lines connecting the center of the test with two successive chamber midpoints, and (3) the amount of overlap between successive chambers. Of these, the chamber ratio is shown to be the most important for growth relationships between diameter, surface, volume and wall thickness. This variable is easily measured and has important implications' for paleoecology. It appears to be applicable to all planktonic foraminifera, even those with nonspherical chambers.