Miracle-dz/UniFAR-FTUs huggingface dataset:
Triplin: Mechanistic Basis for Voltage Gating

The outer membrane of Gram-negative bacteria contains a variety of pore-forming structures collectively referred to as porins. Some of these are voltage dependent, but weakly so, closing at high voltages. Triplin, a novel bacterial pore-former, is a three-pore structure, highly voltage dependent, with a complex gating process. The three pores close sequentially: pore 1 at positive potentials, 2 at negative and 3 at positive. A positive domain containing 14 positive charges (the voltage sensor) translocates through the membrane during the closing process, and the translocation is proposed to take place by the domain entering the pore and thus blocking it, resulting in the closed conformation. This mechanism of pore closure is supported by kinetic measurements that show that in the closing process the voltage sensor travels through most of the transmembrane voltage before reaching the energy barrier. Voltage-dependent blockage of the pores by polyarginine, but not by a 500-fold higher concentrations of polylysine, is consistent with the model of pore closure, with the sensor consisting mainly of arginine residues, and with the presence, in each pore, of a complementary surface that serves as a binding site for the sensor.
Recent Developments and Applications of Microbial Levan, A Versatile Polysaccharide-Based Biopolymer

Polysaccharides are essential components with diverse functions in living organisms and find widespread applications in various industries. They serve as food additives, stabilizers, thickeners, and fat substitutes in the food industry, while also contributing to dietary fiber for improved digestion and gut health. Plant-based polysaccharides are utilized in paper, textiles, wound dressings, biodegradable packaging, and tissue regeneration. Polysaccharides play a crucial role in medicine, pharmacy, and cosmetology, as well as in the production of biofuels and biomaterials. Among microbial biopolymers, microbial levan, a fructose polysaccharide, holds significant promise due to its high productivity and chemical diversity. Levan exhibits a wide range of properties, including film-forming ability, biodegradability, non-toxicity, self-aggregation, encapsulation, controlled release capacity, water retention, immunomodulatory and prebiotic activity, antimicrobial and anticancer activity, as well as high biocompatibility. These exceptional properties position levan as an attractive candidate for nature-based materials in food production, modern cosmetology, medicine, and pharmacy. Advancing the understanding of microbial polymers and reducing production costs is crucial to the future development of these fields. By further exploring the potential of microbial biopolymers, particularly levan, we can unlock new opportunities for sustainable materials and innovative applications that benefit various industries and contribute to advancements in healthcare, environmental conservation, and biotechnology.
Effect of ternarization on corrosion inhibitive properties of extracts of Strangler fig bark, Neem leaves and Bitter leave on mild steel in acidic medium.

: The corrosion inhibitive effect of ternarized extracts of strangler fig (Ficus thonningii) bark, Neem leaves ( Azadirachta indica ) and Bitter leaves ( Vernonia amygdalina ) and its blend as corrosion inhibitors on mild steel was studied. The quest to improve the corrosion inhibition efficiency property of inhibitors led to the ternarization (combination of three) of the extracts. The three extracts contain phytochemical constituents like the Alkaloids, Saponnins, Flavonoids, Glycosides, Polyphenols, Tannins at various percentages, it also contains the following functional group -COR, -COOH, -COCl, -OH, - OR, -COOR. The corrosion inhibition efficiency of the three organic extracts were studied individually before their combined effect was evaluated. After preliminary investigation, 40 % strangler fig bark, 30 % Neem leave and 30 % Bitter leave combination, ie Ternarization was used. The corrosion rate of mild steel in 1 M HCl medium, induced with 1.0 g/dm 3 strangler fig bark extract, after 240 hours of exposure at room temperature is 0.86x 10 -3 mm/yr, the corrosion rate of Neem and Bitter leaves after the same experimental condition are 0.805 x 10 -3 mm/yr, and 0.829 x 10 -3 mm/yr, respectively, while the corrosion rate for the ternarized samples is 0.581 x 10 -3 mm/yr, the corrosion rate of the uninhibited sample is 17.07x 10 -3 mm/yr. There is an improved corrosion inhibition property in the combination of three (ternarization) plant extracts.
Preparation and Characterization of Allicin-Loaded Solid Lipid Nanoparticles Surface-Functionalized with Folic Acid-Bonded Chitosan: In Vitro Anticancer and Antioxidant Activities.

OBJECTIVE This investigation aimed to increase the bioavailability and anticancer effects of allicin (AC) by encapsulating it in solid lipid nanoparticles (SLN) decorated with chitosan (CS)-conjugated folic acid (FA). MATERIAL AND METHODS Nanoparticles (NPs) were synthesized by high-pressure homogenization, and then, Fourier-transform infrared (FTIR), Field-Emission Scanning Electron Microscopy (FESEM), Dynamic Light Scattering (DLS), and zeta potential methods were used to determine their physicochemical characteristics. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay was performed to assess the effect of toxicity and flow cytometry, while fluorescent staining methods were used to investigate the type of cell death. Real-time quantitative polymerase chain reaction (qPCR) was used to evaluate the expression levels of apoptotic genes: Bcl-2, and caspase-8. RESULTS The presence of AC-SLN-CS-FA with a spherical morphology, an average size of 86.7 ± 9.4 nm, uniform distribution (0.31), a surface charge of +21.3 ± 13.3 mV, an encapsulation percentage of 86.3%, and a folate binding rate of 63% confirmed the success of the preparation method. Suppression of MCF-7 cancer cells and non-toxicity of AC-SLN-CS-FA on Human foreskin fibroblast (HFF) normal cells were confirmed by cytotoxic assay. The results of flow cytometry revealed that the cells were arrested in the sub-G1 phase, and the activation of the intrinsic apoptosis pathway was confirmed by the results of real-time qPCR. CONCLUSIONS In general, AC-SLN-CS-FA has the potential to prevent free radicals and trigger apoptosis in cancer cells by activating the intrinsic apoptosis pathway; thus, making it a promising subject in preclinical research.
An Evidence Accumulation Account of Masked Translation Priming in Two Bilingual Populations

This manuscript addresses the phenomenon of masked priming and the cognitive process of switching from Spanish to English while reading in sequential bilinguals compared to heritage speakers. A lexical decision task was employed in the present study with masked translation priming, which serves as a valuable tool for elucidating the orthographic and lexical processes involved in the initial stages of reading. This study builds upon previous research conducted on monolingual masked priming, which consistently demonstrates shifts in the response time (RT) distributions when comparing related and unrelated primes. Within the framework of a diffusion model, we implemented two theoretical positions. First, we posited that translation priming operates at the orthographic level, resulting in enhanced efficiency during the encoding process. Second, we explored the possibility that translation priming operates at the semantic level, influencing the accumulation of evidence during the lexical decision task. The findings of the present study indicate that translation priming elicits outcomes similar to those observed in monolingual priming paradigms. Specifically, we observed that translation priming facilitation is manifested as shifts in the RT distributions. These findings are interpreted to suggest that the benefits derived from the encoding process are not specific to the accessed lexicon following a brief stimulus presentation.
A Technique to Realize Aperture Coupled Microstrip Patch as a Truly Low Cross-Polar Antenna by Mitigating the Major Issues Over its Skewed Radiation Planes

Aperture-fed microstrip patch is typically known for its low cross-polarized (XP) radiations, however it stands true only over its orthogonal plane. The same, over the diagonal planes are as high as that for any other common feeds. This specific issue has been addressed and successfully resolved by proposing a technique for the first time. This introduces a pair of additional printed loops adjacent to the radiating patch. Detailed investigations leading to the design insight have been presented. A C-band rectangular patch promises as much as 7 dB suppression in the diagonal plane XP level keeping the overall performance across the principal radiation planes unchanged. This is an important step in keeping the XP levels for an aperture-fed antenna truly low thus maintaining more than 22 dB of co- to cross-polar isolation over the entire azimuth.
Autonomous motion and control of lower limb exoskeleton rehabilitation robot

Introduction: The lower limb exoskeleton rehabilitation robot should perform gait planning based on the patient’s motor intention and training status and provide multimodal and robust control schemes in the control strategy to enhance patient participation. Methods: This paper proposes an adaptive particle swarm optimization admittance control algorithm (APSOAC), which adaptively optimizes the weights and learning factors of the PSO algorithm to avoid the problem of particle swarm falling into local optimal points. The proposed improved adaptive particle swarm algorithm adjusts the stiffness and damping parameters of the admittance control online to reduce the interaction force between the patient and the robot and adaptively plans the patient’s desired gait profile. In addition, this study proposes a dual RBF neural network adaptive sliding mode controller (DRNNASMC) to track the gait profile, compensate for frictional forces and external perturbations generated in the human-robot interaction using the RBF network, calculate the required moments for each joint motor based on the lower limb exoskeleton dynamics model, and perform stability analysis based on the Lyapunov theory. Results and discussion: Finally, the efficiency of the APSOAC and DRNNASMC algorithms is demonstrated by active and passive walking experiments with three healthy subjects, respectively.
Development of a Procedure for the Processing of Raw Sensor Data from Smart Devices for Utilisation in Process Mining

: This research paper proposes a novel approach to address the blind spot in process mining. The method involves collecting raw sensor data using a smartphone application and transforming it into an event log using Microsoft Power Query. The experimental process is then discovered using process mining to reduce the blind spot in process mining. The study demonstrates the potential of process mining in previously unexplored areas and shows how enterprises that could not previously benefit from process mining can now do so. The paper concludes by highlighting the importance of this research in bridging the gap in process mining and making it accessible to a wider range of businesses.
Creating Value via the Circular Economy: Practices in the Tourism Sector

Among major international research and practice issues, the issue of the circular economy has emerged recently as “an alternative economic paradigm” to address the current needs of the present and to search for innovative solutions for the future. The objective of this paper is to explore the initiatives and practices of the circular economy that could be actuated by tourism firms with the aim of understanding the value that could be created and its contribution to sustainable development based on decarbonization, energy efficiency, and the use of renewable sources. To achieve this objective, an in-depth, qualitative case study of a tourism resort is presented and analyzed to identify the key CE practices activated, with the aim of creating greater value and contributing to sustainable production and consumption. The results show that the main CE practices implemented focus primarily on enhancing resource efficiency, reducing emissions, and minimizing environmental impacts. This research also emphasizes the benefits that the CE provides in terms of economic, environmental, and social efficiency. The study enriches the relevance of CE and the sustainability approach for the tourism sector by highlighting the main value opportunities that tourism firms could grasp from the application of CE. Also, the paper contributes to providing practical suggestions regarding possible initiatives and practices that tourism managers could adopt for deploying CE practices.
Dissecting the Nuclear Import of the Ribosomal Protein Rps2 (uS5)

The ribosome is assembled in a complex process mainly taking place in the nucleus. Consequently, newly synthesized ribosomal proteins have to travel from the cytoplasm into the nucleus, where they are incorporated into nascent ribosomal subunits. In this study, we set out to investigate the mechanism mediating nuclear import of the small subunit ribosomal protein Rps2. We demonstrate that an internal region in Rps2, ranging from amino acids 76 to 145, is sufficient to target a 3xyEGFP reporter to the nucleus. The importin-β Pse1 interacts with this Rps2 region and is involved in its import, with Rps2 residues arginine 95, arginine 97, and lysine 99 being important determinants for both Pse1 binding and nuclear localization. Moreover, our data reveal a second import mechanism involving the N-terminal region of Rps2, which depends on the presence of basic residues within amino acids 10 to 28. This Rps2 segment overlaps with the binding site of the dedicated chaperone Tsr4; however, the nuclear import of Rps2 via the internal as well as the N-terminal nuclear-targeting element does not depend on Tsr4. Taken together, our study has unveiled hitherto undescribed nuclear import signals, showcasing the versatility of the mechanisms coordinating the nuclear import of ribosomal proteins.
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss–Markov–Potts Prior

In order to enhance image quality for controlling the interior of a volume in industry, model-based iterative reconstruction (MBIR) methods in three-dimensional (3-D) X-ray computed tomography (CT) have shown their efficiency compared to analytical reconstruction methods. MBIR methods enforce a prior model on the volume to reconstruct and make fusion of the information contained in the prior model and the projection data. The projections have many uncertainties that have very different origins in 3-D CT. They are taken into account in MBIR methods but, despite of their different origins, they are in general gathered in only one term in the forward model. In this paper, we propose to derive a new forward model by adding a further error term in the Poisson statistics of photon-count, corresponding to the deviation of the monochromatic model with respect to the actual polychromacy of the rays. A Taylor expansion of the Poisson log-likelihood leads us to a new algebraic forward model accounting for two terms of uncertainties: we call it the error-splitting forward model. Different prior models are assigned to each of distinguished uncertainties: measurement uncertainties are modeled as Gaussian, while linear model uncertainties are modeled as heavy-tailed to bring robustness to the reconstruction process. We give strategies to fix the parameters of the error-splitting forward model. Next, we use it in a full MBIR method with Gauss–Markov–Potts prior model on the volume, in order to reconstruct piecewise-constant objects for non-destructive testing in industry. Compared to the conventional forward model, we show in our experiments that the use of the error-splitting forward model with Gauss–Markov–Potts prior combines better robustness and accuracy.
Detecting and identifying DNA via the THz backbone frequency using a metamaterial-based label-free biosensor

In genetic diagnostics, laboratory-based equipment generally uses analytical techniques requiring complicated and expensive fluorescent labelling of target DNA molecules. Intense research effort into, and commercial development of, Point-of-Care diagnostics and Personalized Healthcare are driving the development of simple, fast and cost-effective detection methods. One potential label-free DNA detection method uses Terahertz (THz) spectroscopy of the natural responses of DNA in metamaterial structures, which are engineered to have properties that are impossible to obtain in natural materials. This paper presents a study of the development of metamaterials based on asymmetric X-shaped resonator inclusions as a functional sensor for DNA. Gold X-shaped resonator structures with dimensions of 90/85 μm were demonstrated to produce trapped mode resonant frequency in the correct range for DNA detection. Realistic substrate materials in the form of 375 μm thick quartz were investigated, demonstrating that the non-transparent nature of the material resulted in the production of standing waves, affecting the system response, as well as requiring a reduction in scale of the resonator of 85%. As a result, the effect of introducing etched windows in the substrate material were investigated, demonstrating that increased window size significantly reduces the effect of the substrate on the system response. The device design showed a good selectivity when RNA samples were introduced to the model, demonstrating the potential for this design of device in the development of sensors capable of performing cheap and simple genetic analysis of DNA, giving label-free detection at high sensitivity.
Movie Recommendation Engine with Sentiment Analysis: A Survey

: As Artificial Intelligence and Machine Learning have grown at a rapid pace in recent years, so has the amount of data on the internet. As a result, consumers find it difficult to select the precise information they desire, and learners find it difficult to suggest to users exactly what they require. Here, recommendation systems come into play to point consumers in the direction of the content based on their preferences. This study aims to explain the creation and implementation of Movie Recommendation Systems in the Context of Recommendation of Movies and TV Shows on Online Streaming Platforms. Movie proposals in the Web climate are fundamentally significant for Internet clients. It completes thorough accumulation of client's inclinations, surveys, and feelings to help them find appropriate motion pictures advantageously. Recommendation systems (RSs) have garnered immense interest for applications in e-commerce and digital media. Recommendation System is a smart system that offers pertinent information regarding the decisions a user has made. Collaborative filtering and content-based filtering are two of its useful techniques. This paper is aimed to explain the making and implementation of Movie Recommendation Systems Using Machine Learning Algorithms, Sentiment Analysis and Cosine Similarity.
Survey of multi-objective portfolio optimization by linear and mixed integer programming

Abstract This chapter presents the survey of selected linear and mixed integer programming multi-objective portfolio optimization. The definitions of selected percentile risk measures are presented. Some contrasts and similarities of the different types of portfolio formulations are drawn out. The survey of multi-criteria methods devoted to portfolio optimization such as weighting approach, lexicographic approach, and reference point method is also presented. This survey presents the nature of the multi-objective portfolio problems focuses on a compromise between the construction of objectives, constraints, and decision variables in a portfolio and the problem complexity of the implemented mathematical models. There is always a trade-off between computational time and the size of an input data, as well as the type of mathematical programming formulation with linear and/or mixed integer variables.
A Study Review of the Appropriateness of Oral Antibiotic Discharge Prescriptions in the Emergency Department at a Rural Hospital in Mississippi, USA

Antimicrobial therapy in emergency departments (EDs) is usually empiric in nature. Due to workload and a goal to reduce patient wait times, providers often make rapid decisions regarding antibiotic prescriptions for discharge. A review of current empiric prescribing practices would determine the appropriateness of oral antibiotic discharge prescriptions from EDs. A single-center retrospective electronic health record review of all adult patients with an ED visit from 1 June 2019, to 30 June 2021 who received at least one oral antibiotic prescription at discharge from Baptist Memorial Hospital-Golden Triangle was conducted. The primary outcome was the assessment of appropriate antibiotic discharge prescriptions. The parameters for appropriateness included empiric drug selection, dosage, frequency, duration, and subsequent cultures and sensitivities. Of the 18,289 identified records, 421 patients were randomly sampled with 400 patients included in the final analysis. Of these, 190 (47.8%) discharge oral antibiotic prescriptions were assessed as appropriate and 209 (52.3%) discharge oral antibiotic prescriptions were assessed as inappropriate based on the guideline recommendations. With approximately half of the patients receiving discharge antibiotics that did not fully follow the guideline recommendations, there is a need for provider education, pharmacist intervention, and antimicrobial stewardship programs focusing on this practice.