Miracle-dz/UniFAR-FTUs huggingface dataset:
Beneficial Effects of “Frequency Specific Microcurrent“ on Regeneration of Cultured Connective Tissue Fibroblasts

Regeneration of complex structures after injury requires dramatic changes in cellular behaviour. One of the main functions of early signaling events after injury is the production of additional cells that are able to rebuild lost or damaged structures. This is mostly done by cell proliferation. Another fundamental cellular event is the migration of cells, especially in exogenous electrical fields. In this present in vitro study, we examined the effect of Frequency Specific Microcurrent (FSM) of the TimeWaver Frequency McMakin system on regeneration/wound healing process. By using a specific bioassay, the granulation phase, which is characterized by the occurrence of cell migration and proliferation, was reconstructed. The study was conducted with cultured connective tissue fibroblasts (L-929) which were seeded into cell cultures plates containing silicon frames which represent a cell-free space (= artificial wound) after the cell layer has become confluent and the frame was removed. The cells were allowed to migrate and proliferate into the cellfree space for closure. After fixation and staining, the residual cell-free space was calculated by a specialized software. Untreated controls were compared with cells which have been exposed once for 5 to 6 min to two different programs of the Time Waver Frequency McMakin system. Three independent experiments with a total of 12 single measurements were conducted. Morphological evaluation of cell regeneration/wound healing in comparison to the untreated control showed a significant improvement in the colonization of the cell-free space by the application of both programs with only a single short-term treatment of the TimeWaver Frequency McMakin system. Calculation of the residual spaces after 24 hours of fibroblast migration and proliferation into the cell-free space by a specialized software showed a residual cell-free space of 22.1 ± 3.8 % for the untreated control, whereas the residual cell-free space was only 9.6 ± 3.6 % for cells after exposure to program # 1 (= trauma/re-activation) and 15.7 ± 1.5 % for cells after exposure to programm # 2 (= cell regeneration/wound healing). All data represent mean value ± standard deviation. This means that the cells have been stimulated significantly for an improved regeneration process by migration and proliferation after only a single short-term exposure to the programs used in this study. The TimeWaver Frequency McMakin system has clearly demonstrated its beneficial effect in experimental test procedures at the cellular level. The application of both programs resulted in a significant improvement in regeneration/wound healing of connective tissue fibroblasts even after only a single short-term application. The present cellular results confirm previous findings from practical use of high-performance athletes during regenerative processes due to physical exercise or overload. Keywords: Microcurrent therapy; Cell regeneration; Wound healing; Connective tissue fibroblasts L-929; Cell culture
On Equivalence of Data Informativity for Identification and Data-Driven Control of Partially Observable Systems

This study shows that the informativity for the identification of partially observable systems is equivalent to that for designing dynamical measurement-feedback stabilizers. This finding is entirely different from the input-state case, where the direct data-driven design of state-feedback stabilizers requires less informativity than system identification. We derive the equivalence between the two types of informativity based on a newly introduced vector autoregressive with exogenous input (VARX) framework, which is suitable for time-domain analyses, such as state-space models, while directly representing input–output characteristics, such as transfer functions. Moreover, we show a duality between the characterization of all VARX models explaining data and that of all VARX controllers stabilizing such VARX models.
Available names for Rangifer (Mammalia, Artiodactyla, Cervidae) species and subspecies

﻿Abstract Advancements in molecular and phylogenetic analysis have revealed the need for greater taxonomic resolution since Rangifer (Reindeer and caribou: Cervidae) was last revised in 1961. Recent literature shows that many of the subspecies and several species synonymised out of existence are, in fact, valid, some names have been misapplied, and new subspecies-level clades are in need of description. This paper reviews available names for recently defined ecotypes of reindeer and caribou in compliance with ICZN rules for zoological nomenclature.
Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach

Vehicular Ad hoc Networks (VANETs) are prone to packet drop attacks because of their inherent distributed architecture and dynamic topology. Existing security schemes mainly focus on multi-path and trust-based routing. Unfortunately, the former causes high energy consumption and the latter requires trust assessment, which is not easy to implement in practice. Route mutation (RM) is emerging as an active defense technology that changes routes periodically. Traditional RM is conceived for fixed network topologies, and needs a centralized controller, so that it cannot be applied to VANETs. Therefore, the present contribution investigates RM in VANETs by proposing a Grid-based extended Joint Action Learning approach (Grid-eJAL). To the best of our knowledge, this is the first contribution that designs an online and adaptive multi-agent reinforcement learning (MARL) for RM to mitigate attacks in VANETs. Differently from existing MARL schemes, Grid-eJAL allows vehicles to share parameters to accelerate the convergence speed of learning. In Grid-eJAL, the area of interest is split in equally sized grids and, when a vehicle transmits packets, the next hop with the minimum angle of mobility is selected within the grid considered as optimal by the learning policy. The convergence of Grid-eJAL is proved theoretically. Finally, extensive simulation results highlight the effectiveness of Grid-eJAL compared to representative state-of-the-art solutions.
Identification of apple cultivars hypoallergenic for birch pollen‐allergic individuals by a multidisciplinary in vitro and in vivo approach

Abstract Background Birch pollen‐related apple allergy is the most frequent IgE‐mediated food allergy in Central‐Northern Europe with Mal d 1 as major allergen. Its concentration in apples varies with the cultivar and storage time. Year‐round appealing, hypoallergenic cultivars still are needed to satisfy the nutritional needs of affected individuals. We characterized three promising cultivars by multidisciplinary in vitro assays including long‐term storage and by clinical challenges of allergic individuals before and after the birch pollen season. Methods Proteins were extracted from fruits of ‘Santana’, ‘Golden Delicious’ (GD), and three genuine cultivars in November 2018 and April 2019. Mal d 1‐levels were analysed by mass spectrometry, SDS‐PAGE, immunoblotting, competitive ELISA, and basophil activation tests. Twenty‐eight allergic individuals underwent single‐blinded open food challenges and skin testing with the cultivars and birch pollen in November 2018 and May 2019. Allergen‐specific IgE‐levels were determined. Results After storage all cultivars except ‘Santana’ were of appealing appearance and taste. Their Mal d 1 content had increased, also reflected by significantly amplified basophil activation and stronger reactions in clinical challenges. Besides, individuals showed boosted reactivity after pollen exposure indicated by enhanced allergen‐specific IgE‐levels and skin reactions to birch pollen. Still, all cultivars remained significantly less allergenic than GD and comparable to Santana in November 2018 in all assessments except for skin testing. Conclusions Combined expertise in pomology and allergology identified promising new cultivars for allergic consumers. The evaluation of hypoallergenic apples should incorporate long‐term storage and birch pollen exposure. Basophil activation tests may be suitable in the selection of promising cultivars for oral challenges.
Hyperglycaemia in COVID-19 Patients at Admission, a Study during the Beginning of the Pandemic in Sidi-Bel-Abbes, Algeria

Reportedly, SARS-CoV-2 infection impairs glucose homeostasis and metabolism. Moreover, hyperglycaemia has emerged as an important risk factor for COVID-19 mortality. A cross-sectional study involving hospitalized patients in Sidi-Bel-Abbes with COVID-19 critical infection regardless of diabetes status was conducted. Data was collected from COVID-19 Registry, including age, sex, and blood sugar level at admission. Out of 800 patients admitted for SARS-CoV-2 with, 332 patients (206 males, 126 females) exhibited hyperglycaemia, which equates to a prevalence of 41,5%. Patients had a median age of 64 years and a median blood sugar of 1,59. Admission hyperglycaemia was not statically associated with age and sex. Blood glucose status is paramount for ensuring safe and effective treatment of inpatients COVID-19. Additional studies are forthcoming to address the study's limitations and to better understand the impact of hyperglycaemia on COVID-19 patients.
DIETARY SUPPLEMENTATION OF Debaryomyces hansenii ENHANCED SURVIVAL, ANTIOXIDANT AND IMMUNE RESPONSE IN JUVENILE SHRIMP Penaeus vannamei CHALLENGED WITH Vibrio Parahaemolyticus

<p><strong>Background: </strong>The excessive use of antibiotics in shrimp aquaculture cause severe ecological damage. Immunostimulant probiotics are an alternative prophylactic treatment to enhanceantioxidant and immune response to reduce mortality induced by pathogenic microbes. <strong>Objective: </strong>This study investigated the effect of live yeast <em>Debaryomyces hansenii</em> incorporated in diet and in culture water on survival and expression of the antioxidant and immune-related genes in <em>Penaeus vannamei</em> juvenile shrimp. <strong>Methodology: </strong>Shrimp were fed daily for 10 days with treatments of different doses and a post-infection with <em>Vibrio parahaemolyticus</em> as follows: a) control (-) without feed additives and non-infected; b) control (+) without feed additives and infected; c) <em>D. hansenii</em>, 1×10<sup>6</sup> CFU g<sup>-1</sup> feed; d) inulin, 2.5 mg g<sup>-1</sup> feed; e) <em>D. hansenii</em>, 1×10<sup>6</sup> CFU g<sup>-1</sup> feed + inulin, 2.5 mg g<sup>-1</sup> feed; f) <em>D. hansenii</em>, 2×10<sup>6</sup> CFU g<sup>-1</sup> feed + 1×10<sup>6</sup> CFU mL<sup>-1</sup>; g) <em>D. hansenii</em>, 4×10<sup>6</sup> CFU g<sup>-1</sup> feed + 1×10<sup>6</sup> CFU mL<sup>-1</sup>. Relative gene expression of lysozyme (<em>LYS</em>), glutathione peroxidase (<em>GPX</em>), and superoxide dismutase (<em>SOD</em>) were determined in shrimp muscle and hepatopancreas previous to challenge with <em>V. parahaemolyticus</em>. <strong>Results: </strong>Juvenile shrimp increased the resistance to <em>V. parahaemolyticus</em> infections significantly more than untreated shrimp after <em>D. hansenii</em> administration in feed and water, and mixed with inulin. Relative gene expressions of <em>LYS</em> and <em>SOD</em> increased significantly in shrimp muscle after treated with<em> D. hansenii</em> and <em>D. hansenii </em>+ inulin, respectively. <em>SOD</em> and <em>GPX</em> were significantly expressed in shrimp hepatopancreas<em>. </em> <strong>Implications: </strong>The findings provide new insights to apply yeast immunostimulants in reared shrimp to increase immune response and survival against experimental bacterial infections. <strong>Conclusions:</strong> In this study, juvenile shrimp exposed to additive immunostimulants increased gene expression in shrimp tissues, muscle and hepatopancreas, and the dose of 1×10<sup>6</sup> CFU g<sup>-1</sup> of <em>D. hansenii</em> in feed was sufficient to increase shrimp survival against <em>V. parahaemolyticus</em> infection. </p>
Pengembangan Software Economic Dispatch (ED) Menggunakan Approximation Methods dengan Memperhitungkan Rugi-rugi Transmisi

Permasalahan economic dispatch pada pembangkit yaitu mengenai perubahan permintaan daya. Perubahan beban yang berubah setiap periode waktu tertentu menyebabkan perubahan perhitungan economic dispatch untuk setiap harga tertentu. Selain perubahan permintaan daya, pertimbangan lain yang perlu diperhatikan yaitu mengenai rugi – rugi transmisi. Approximation Methods digunakan untuk meminimalkan biaya pembangkitan dengan permintaan total pembebanan yang berbeda di setiap unit pembangkitan. Approximation Methods ini merupakan metode perkiraan (non-convex) dari fungsi biaya pembangkitan yang dikembangkan untuk menyelesaikan permasalahan dengan rugi – rugi transmisi. Metode ini akan diterapkan pada aplikasi pemrograman, serta referensi plant akan digunakan sebagi uji coba aplikasi software perhitungan ED yang menjadi tujuan dari pembuatan tugas akhir. Hasil dari simulasi tugas akhir diperoleh bahwa untuk biaya pembangkitan bisa lebih murah +/- 370 $/HR. ================================================================================== Economic dispatch problems at the reactor which is the power change demand . Change the load that it is changing every a certain period of time causing change economic dispatch calculation for every a certain price . In addition to demand change resources , other consideration that need to be considered which is the compensation compensation transmission . Approximation methods used to minimize the cost stirring up with the demand total imposition of differing in every unit the generation of . Approximation methods this is a method of approximate ( non-convex ) of the function of the cost of the generation of being developed to solve problems with the transmission of compensation compensation . This method to be applied on the application programming , as well as reference plant will be used for the trial of a software application calculation ed be a goal for the end of the manufacture of duty . The result of the end of the simulation duty obtained that for the cost of the generation of can it be cheaper + / - 370 $/HR.
Observation of Incompressibility at $\nu=4/11$ and $\nu=5/13$

The region of filling factors $1/3<\nu<2/5$ is predicted to support new types of fractional quantum Hall states with topological order different from that of the Laughlin-Jain or the Moore-Read states. Incompressibility is a necessary condition for the formation of such novel topological states. We find that at 6.9~mK incompressibility develops only at $\nu=4/11$ and $5/13$, while the states at $\nu=6/17$ and $3/8$ remain compressible. Our observations at $\nu=4/11$ and $5/13$ are first steps towards understanding emergent topological order in these fractional quantum Hall states.
YOLO V5s-based Deep Learning Approach for Concrete Cracks Detection

Complex environmental conditions can lead to a variety of cracks in concrete engineering structures, and if these cracks are not promptly investigated and repaired, it is likely to lead to serious engineering accidents. Most of the traditional crack detection method is by manual exclusion, which overly relies on the knowledge and experience of inspectors, and different inspectors have different definitions of crack detection standards, so it lacks a certain objectivity in quantitative analysis, and the efficiency of manual detection will gradually decrease as the workload rises. In recent years, deep learning networks have made many developments in the field of computer vision by their strong feature extraction ability and autonomous learning capability. The main objective of this paper is to detect crack information in crack images using YOLO V5s-based deep learning algorithm. Considering the complexity of the crack image background, the author adopted the threshold segmentation method based on the Otsu maximum inter-class variance to achieve the purpose of removing the background noise from crack images by constructing a connected domain for grayscale change points so as to fuse the noise points with the background. After that, the author used the YOLO V5s model to train and test the 3500 manually labeled crack images, and adopted the K-Means method to calculate the optimal initial anchor box size and pass it to the model for training, so as to improve the model’s detection of cracks. The evaluation index of the model after these two optimization methods was 84.37% for average precision (AP), 76.01% for average recall (AR), and 79.97% for average F1-score.
Tunnel Lining Defect Identification Method Based on Small Sample Learning

Aiming at the problem of insufficient number of samples due to the difficulty of data acquisition in the identification of tunnel lining defects, a generative adversarial network was introduced to expand the data, and the network was improved for the mode collapse problem of the traditional generative adversarial network and the problem that the generated image features were not obvious. On the basis of the WGAN-GP network, a deep convolutional network is selected as its backbone network, and the effectiveness of the deep convolutional network in feature extraction by Lv et al. (2022) is used to improve the quality of the images generated by the network. In addition, the residual module is introduced into the discriminator network, and the upsampling module is introduced into the generator network, which further solves the problem of gradient disappearance of the two networks during the update iteration process through the idea of cross-connection, while better retaining the underlying features, which effectively solves the problem of mode collapse and low quality of generated images in the generative adversarial network. Compared with the original network, the image quality of the generated adversarial network is improved, and the discriminator and generator losses converge faster. At the same time, the recognition accuracy of the YOLOv5 network is improved by 4.4% and the overfitting phenomenon is alleviated, which proves the effectiveness of the method under the limited training data set.
Potential Antioxidative and Anti-Hyperuricemic Components Targeting Superoxide Dismutase and Xanthine Oxidase Explored from Polygonatum Sibiricum Red.

Polygonatum sibiricum Red. (P. sibiricum) has been used as a traditional Chinese medicine with a wide range of pharmacology effects. However, the responsible bioactive compounds and their mechanisms of action concerning its antioxidative and anti-hyperuricemic activities remain unexplored. In this work, the antioxidant capacity of P. sibiricum was firstly evaluated with the 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2’-azinobis-(3ethylbenzthiazoline)-6-sulfonic acid (ABTS) and ferric-reducing antioxidant power (FRAP) assays, from which the ethyl acetate (EA) fraction exhibited the highest DPPH, ABTS radical scavenging, and ferric-reducing capacities. Meanwhile, the EA fraction displayed the highest total phenolic and flavonoid contents among the four fractions. Next, the potential ligands from the EA fraction were screened out by bio-affinity ultrafiltration liquid chromatography-mass spectrometry (UF-LC-MS) with superoxide dismutase (SOD) and xanthine oxidase (XOD). As a result, N-trans-p-coumaroyloctopamine, N-trans-feruloyloctopamine, N-trans-feruloyltyramine were identified as potential SOD ligands, while N-cis-p-coumaroyltyramine was determined as potential XOD ligand. Additionally, these four ligands effectively interact with SOD and XOD in the molecular docking analysis, with binding energies (BEs) ranging from –6.83 to –6.51 kcal/mol, and the inhibition constants (Ki) from 9.83 to 16.83 μM, which were better than the positive controls. In conclusion, our results indicated that P. sibiricum has good antioxidative and anti-hyperuricemic activities, and its corresponding active ligands targeting SOD and XOD could be explored by the UF-LC-MS method.
Insight into the Mammalian Aquaporin Interactome

Aquaporins (AQPs) are a family of transmembrane water channels expressed in all living organisms. AQPs facilitate osmotically driven water flux across biological membranes and, in some cases, the movement of small molecules (such as glycerol, urea, CO2, NH3, H2O2). Protein–protein interactions play essential roles in protein regulation and function. This review provides a comprehensive overview of the current knowledge of the AQP interactomes and addresses the molecular basis and functional significance of these protein–protein interactions in health and diseases. Targeting AQP interactomes may offer new therapeutic avenues as targeting individual AQPs remains challenging despite intense efforts.
The variational theory of geodesics

The Variational Theory Of Geodesics In differential geometry, a geodesic (/ ˌ dʒ iː ə ˈ d ɛ s ɪ k, ˌ dʒ iː oʊ-, -ˈ d iː-, -z ɪ k /) is a curve representing in some sense the shortest path between two points in a surface, or more generally in a Riemannian manifold.It is a generalization of the notion of a "straight line" to a more general setting.The term "geodesic" comes from geodesy, the science of measuring the .
A case study — Solar powered metro in UAE

This paper focuses on integration of solar energy in an efficient way to power the transportation system such as metro train in UAE. The aim is to reduce the power load on the power grid and employ solar energy which is a clean, pollution free and an abundant source of energy. Urban rail system operation requires enormous amount of power and this can be reduced by using solar energy. This paper focuses on the design of the solar powered network for DC electrified 750 V third rail systems for metro trains. Solar powered metro train will use a smart combination of energy generated by solar panels and power grid. The proposed system can be integrated into the existing third rail 750 V technology in an efficient way.
Remarks on Mathematical Structure of the Staruszkiewicz Theory

The purpose of this note is threefold: (i) to recall (with some points made more explicit) the mathematical Weyl algebra model formulation, given before, of the Staruszkiewicz theory of quantum Coulomb ﬁeld; (ii) to add some new elements to the discussion of the representation of the Lorentz group within this model; (iii) to comment on some statements on the structure of the theory which appeared recently.
Antioxidant and hypoglycemic effect of Vasconcellea candicans (A. Gray) A.
DC. in albino mice: a native fruit of the Peruvian flora

“Mito”, “Andean Papaya” and “kerko” are the popular names of Vasconcellea candicans (A. Gray) A. DC. In some regions in Peru, this species is a shrub tree, endemic to the Peruvian Andes and Ecuador. This study aimed to evaluate the antioxidant and hypoglycemic effect of the ethanolic extract of Vasconcellea candicans fruit on alloxaninduced hyperglycemia in albino mice. Vasconcellea candicans fruits were collected in Uruiza, Lucanas-Ayacucho, Peru. Phytochemical analysis was carried out to confirm chemical groups, and antioxidant activity in vitro was measured using two methods, 2,2- diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-Azino-bis(3-ethylbenzothiazoline-6-sulfonicacid) diammonium salt radical cation (ABTS). In the pharmacological evaluation, hyperglycemia was induced with alloxan using doses of 170 mg/kg in albino mice, animals with a glucose level of more than 250 mg/dL were included in the treatment. Animals were randomized into five groups (I: Alloxan 170 mg/kg; II, III, and IV: Vasconcellea candicans extract: 100, 300, and 500 mg/kg body weight; and V: glibenclamide 5 mg/kg). The phytochemical analysis confirmed the presence of flavonoids, alkaloids, terpenes, saponins, and phenolic compounds. It was observed that at doses of 100, 300, and 500 mg/kg, blood glucose was reduced by 43.6%, 60.8%, and 70.5 %, respectively, after 16 days of treatment. The ethanolic extract had an IC50 = 19.6±0.5 µg/mL and 5.05±0.01 µg/mL against DPPH and the ABTS radical, respectively. In conclusion, the ethanolic extract of the Vasconcellea candicans fruit was demonstrated to be effective at 500 mg/kg following 14 days of treatment in mice.