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Self-organized Electric Nanostructure, a Combination Of  (Metal Nanotube) and Reactio...
Afshin Rashid

Afshin Rashid

August 29, 2024
Note: In the electrical structure of hybridization (metal nanotube), the reaction with hydrogen and fluorine gas, by entering  SP3, turns the hybridization structure of metal nanotube into a semiconductor. These reactions sometimes destroy the walls of nanotubes and lead to the formation of amorphous carbon or graphite layered structures. By hydrogenation of single-walled nanotubes, the semiconducting nature of SWCNTs increases at room temperature. Strong plasma or reaction at high temperature causes the wall of metal nanotubes to be etched.  that semiconductor SWCNTs are not damaged.  Therefore, it is very important to control the reaction conditions.  In nanotubes, the reaction with methane plasma  removes metal SWCNTs without destroying  semiconductor SWCNTs. In  the method of using  nanomolecular soft hydrogen plasma, in which  hydrogen plasma is used to convert metal SWCNTs into  semiconducting SWCNTs, and in  this case, the walls of the nanotubes  are not destroyed or etched.  These reactions, which are carried out in the gas phase,  cause in-situ and high-scale fabrication of TFTS and  FETS with semiconductor nanotubes,  which is very important for the commercialization of high-efficiency devices  based on nanotubes.  By choosing suitable reactive gases, this  method can also be used for selective reactivity with  semiconductor nanotubes.  by reacting SWCNTs SO3 as  under neutral gas in the presence of gas; Reactive gas inside the furnace at 400 C◦ temperature, semiconductor nanotubes  are preferred  with reactive gas . After that, the nanotube is heated to a temperature of 900°C  to restore the metal nanotubes  with structural defects. This process  is a simple way to enrich the nanotube sample from  metal nanotubes. The mass production of metal nanotubes  can be done with a more precise control of the reaction conditions  and finally increase the  production scale of its uses, including conductive films and  transparent electrodes.
Efficacy of vitamin B1 in alleviating chemotherapy-induced nausea and vomiting
Satoru Matsushima
Hirozumi Sano

Satoru Matsushima

and 5 more

August 29, 2024
Background. The management of chemotherapy-induced nausea and vomiting (CINV) is of primary concern for both patients with cancer and medical workers. Refractory or breakthrough CINV is especially difficult to deal with and necessitates a different approach. Vitamin B1 deficiency is likely to occur during cancer chemotherapy, with early symptoms of fatigue, anorexia, nausea and vomiting. The efficacy of vitamin B1 for the treatment of delayed or refractory CINV should be confirmed. Methods. Serum vitamin B1 level was prospectively measured in patients experiencing persistent nausea and vomiting after chemotherapy. The response to vitamin B1 therapy was evaluated for three consecutive days after vitamin B1 infusion. Moreover, serum level of vitamin B1 at diagnosis of persistent delayed CINV was compared with the level before chemotherapy. Results. In total, 408 courses of chemotherapy in 86 patients were analyzed. The median age at hospital admission of the enrolled patients was 10.7 years (0.2–25.2). Among these, 44 (10.8%) episodes of persistent delayed CINV were identified in 26 of the enrolled patients. At day 3, the overall response rate was 79.5%; 21 (47.7%) patients achieved a complete response and 14 (31.8%) patients achieved a partial response. The median vitamin B1 level at diagnosis of CINV was significantly lower than the value before chemotherapy (22.8, range 11.9–49.2 vs. 32.7, range 11.2−80.1, respectively, P < 0.001). Conclusion. Patients with a malignant disease who experience persistent nausea and vomiting after chemotherapy often exhibit vitamin B1 deficiency. Vitamin B1 infusion may be beneficial for many of these patients.
AC-DC-DC/AC Hybrid Converter for EV Charger
Sandeep Ojha

Sandeep Ojha

August 29, 2024
This paper presents a two-stage AC-DC-DC/AC hybrid converter designed for electric vehicle (EV) chargers with input unity power factor operation. The proposed converter features a two-stage conversion process, producing both a DC output and a three-phase AC output from a single-phase AC input via a diode bridge rectifier. In this AC-DC-DC/AC converter, the switch of the boost converter is replaced by a three-phase inverter circuit, enabling unity power factor operation at the input AC through the switch mode operation of the three-phase inverter. This hybrid converter requires fewer switches to generate DC and three-phase AC outputs simultaneously, enhancing reliability due to its inherent shoot-through protection in the inverter operation and the elimination of the DC link capacitor at the rectifier stage. The converter achieves power factor correction on the input AC side of the single-phase AC-DC diode rectifier using a continuous control set predictive control algorithm (CCS-PCA), which boosts the DC output and modulates the three-phase AC outputs. The converter’s operation is validated using an FPGA-based Typhoon HIL-402 controller in a hardware model.
Self-organized Electrical Nanostructure  Electronic DND  Means a Naturally Made Mater...
Afshin Rashid

Afshin Rashid

August 29, 2024
Note:  ( endohedral nanostructures)  means a natural, accidental or manufactured substance containing particles, in an unconfined state or as an aggregate or as agglomerate and where for 50% or more of the particles in the number size distribution, One or more external dimensions in the size range 1 nm - 100 nm in certain cases and in cases where, the size distribution threshold may be replaced by a threshold between nanoparticles of the material.Inferring from the above,  nanostructures  with one or more external dimensions less than 1 nm should be considered as vital tools in nanoelectronics. ( endohedral nanostructures)  that react naturally. or produced as a by-product of combustion (unintentional) from combustion processes. They are usually physically and chemically heterogeneous and are often called porous particles. On the other hand,  (  endohedral nanostructures)  which  are produced and designed from multiple structures with physical and electronic purposes for a specific purpose or function. The important feature of all  ( endohedral nanostructures)  is summarized in the fact that the number of atoms (surface) in them is more than the number of atoms (volume). This ratio increases with decreasing size (nanoparticle). Therefore, the size of the nanoparticle is considered its most important feature. The shapes and sizes  ( endohedral nanostructures)  are naturally determined based on the composition and conditions of their formation. The characteristics  of  ( endohedral nanostructures)  in turn  determine the originality of the nanostructure characteristics and their possible fields of operation. The range from 1 to 1000 nm  is introduced  as the range of  ( endohedral nanostructures) .
A direction correction-based technique for timing mismatch in time-interleaved ADCs
Yan Xue
Kun Li

Yan Xue

and 4 more

August 29, 2024
An all-digital calibration technique for time-interleaved ADC(TIADC) timing mismatch is proposed in this paper. The calibration technique is based on a direction correction-based technique for TIADCs. The proposed method uses Least Mean Squares (LMS) Iteration to gradually estimate and the compensation algorithmfocuses on third-order Tayler series expansion. Different from conventional calibration architecture, the proposed method introduces a corrective technique addressing calibration direction, which may be wrong when the frequency of the input signal does not satisfy the Nyquist sampling theorem of the sub-ADC. The bandwidth of the input signal stands to be broadened when integrated with the proposed calibration algorithm.
Canopy modification of acid neutralizing capacity of atmospheric base cations in a te...
Chunyu Wang
Bo Wang

Chunyu Wang

and 6 more

August 29, 2024
11institutetext: Knowledge-based Systems and Document Processing Research Group Faculty of Computer Science Otto-von-Guericke-University Magdeburg 11email: katrin.krieger@ovgu.de Chemical changes of base cations in bulk precipitation ( BP) induced by canopy alteration significantly influence the buffer action against soil acidification and the consequent biogeochemical processes in forest ecosystems. However, the underlying mechanisms that influence the varying magnitudes and directions of acid neutralizing capacities (ANC) in BP during canopy passage remain less understood. Here, we investigated the chemical compositions of base cations (potassium (K +), calcium (Ca 2+), magnesium (Mg 2+) and sodium (Na +)), the capacity of individual alkaline ions to neutralize acidity, in addition to their spatio-temporal variabilities outside and beneath the canopies of Chinese pine plantation ( Pinus tabuliformis Carr.) throughout 2019 growing season with a large proportion of annual rainfall. Results showed that volume-weighted mean concentrations of base cations in throughfall ( TF) were significantly increased with the highest enrichment ratio by K +, followed by Mg 2+, Ca 2+ and Na +. Canopy leaching mainly occurred for K + (59.06%) and Mg 2+ (54.20%) whereas dry deposition of Ca 2+ (57.27%) were the dominant net throughfall flux component. TF ANC was significantly higher than BP, indicating that rainwater beneath the pine canopy became less acidic. Ca 2+ was the predominant acid neutralizing component, followed by K + and Mg 2+ in both BP and TF. However, the capacity of Ca 2+ for neutralizing acidity was weakened whereas K + and Mg 2+ were enhanced in TF compared to BP. Additionally, the concentrations of TF base cations were significantly negatively or positively correlated to canopy cover and TF amount, with exception of TF K +. Antecedent dry period and rainfall intensity were the most influential meteorological parameters affecting the intra-event variation trend and magnitude of TF base cations. Our findings contribute to understanding the controlling processes and underlying mechanisms that drive the complex interactions between base cations nutrients and forest ecosystem.
Acute Kidney Failure and Hemolysis Secondary to High-dose Teucreum polium L. subsp. P...
leila gholami
seyed majid ahmadi

leila gholami

and 3 more

August 29, 2024
A document by leila gholami. Click on the document to view its contents.
11institutetext: Knowledge-based Systems and Document Processing Research Group Facu...
Hanyue Zhu
Weihuan Hu

Hanyue Zhu

and 14 more

August 29, 2024
Background The Atractylenolide I (AO-I) is one of the main bioactive components of Atractylodes macrocephala Koidz (AMK), which is a healthy food in China with long history. This study aims to investigate the effects and mechanism of AO-I on estradiol (E 2) secretion and lipid metabolism induced by Dihydrotestosterone (DHT) in human granulosa-like tumor cells (KGN). Methods and results E 2 secretion and lipid metabolism of KGN cells were evaluated with CCK-8, Enzyme‐linked immunosorbent assay, lipid droplets assay, western blot and immunofluorescence. The results showed that DHT significantly decreased the cell viability, increased the E 2 secretion, the protein levels of CYP19, and lead to lipid metabolism disorder in KGN cells, which was characterized by lipid droplets (DLs) accumulation, decreased expression of PPARγ and increased the protein levels of FABP4. Notably, AO-I could significantly reverse the adverse effect induced by DHT and alleviated the impaired E 2 secretion and lipid metabolism through regulation of PPARγ in KGN cells. Conclusion Consumption of AO-I is beneficial to DHT induced ovarian granulosa cell dysfunction and disorder of lipid metabolism via the regulation of PPARγ. This research may provide the theoretical basis for AO-I as a dietary supplement to alleviating ovarian dysfunction.
Variability in the Recommendations for Management of Vaso-Occlusive Crisis and Acute...
Amr Elgehiny
Mariam Z. Quraishi

Amr Elgehiny

and 6 more

August 29, 2024
Background While national guidelines for the management of vaso-occlusive crisis (VOC) and acute chest syndrome (ACS) in sickle cell disease (SCD) exist, institutional algorithms are tailored to their clinical practices. This study aims to compare institutional algorithms to each-other and to national recommendations for VOC/ACS in pediatric SCD. Procedures Algorithms were collected from children’s hospitals across the United States, and compared to recommendations made by the National Heart, Lung, and Blood Institute (NHLBI) 2014 and the American Society of Hematology (ASH) 2020 regarding management of VOC/ACS in SCD. Results: Review of 37 VOC and 17 ACS algorithms from 40 children’s hospitals showed that most followed national guidelines for diagnostic evaluation of VOC/ACS. Parenteral opioids and NSAIDs were recommended by all VOC algorithms with variations in dosing and administration. Intranasal fentanyl was recommended by 31 algorithms, with individualized pain protocol and non-pharmacological measures mentioned in 19 each. Incentive spirometry was included in 16 of 17 ACS algorithms, but only 11 of 37 VOC algorithms. Antibiotics were recommended by all ACS algorithms, but 4 used regimens different from the NHLBI recommendation. Most ACS algorithms had recommendations regarding transfusion, but with considerable variability. Intravenous fluid management strategies were also highly variable and hypotonic fluids were recommended in 6 VOC and 4 ACS algorithms. Conclusion: Internal algorithms for pediatric SCD show great variability compared to each other and with national guidelines, likely due to the lack of robust evidence supporting specific recommendations. Prospective studies are crucial to fill these evidence gaps with the overall goal to improve patient care.
The crystal structure of human IgD-Fc reveals unexpected differences with other antib...
Anna Davies
stty3710@kcl.ac.uk

Anna Davies

and 7 more

August 29, 2024
A document by Anna Davies. Click on the document to view its contents.
A comparative review of approaches for enhancing extrapolability in process-based and...
Haiyang Shi

Haiyang Shi

August 29, 2024
The application of process-based and data-driven hydrological models is crucial in modern hydrological research, especially for predicting key water cycle variables such as runoff, evapotranspiration (ET), and soil moisture. These models provide a scientific basis for water resource management, flood forecasting, and ecological protection. Process-based models simulate the physical mechanisms of watershed hydrological processes, while data-driven models leverage large datasets and advanced machine learning algorithms. This paper reviewed and compared methods for assessing and enhancing the extrapolability of both model types, discussing their prospects and limitations. Key strategies include the use of leave-one-out cross-validation and similarity-based methods to evaluate model performance in ungauged regions. Deep learning, transfer learning, and domain adaptation techniques are also promising in their potential to improve model predictions in data-sparse and extreme conditions. Interdisciplinary collaboration and continuous algorithmic advancements are also important to strengthen the global applicability and reliability of hydrological models.
Pharyngoplasty with suture of mucosal flap complementary coverage for treating pharyn...
Zhiyan Lu
Yimiao Wang

Zhiyan Lu

and 5 more

August 29, 2024
Exploring a new method of pharyngoplasty surgery, which uses CO2 laser to dislocate the mucosa and then covers the wound with mucosal flap complementary sutures, successfully preventing postoperative pharyngeal stenosis.
Assessing Thermal Inactivation Kinetics of Pathogenic Bacteria in Fish Cell Media for...
Reza Ovissipour
Chyer  Kim

Reza Ovissipour

and 1 more

August 29, 2024
Upstream materials for media formulations are often identified as potential sources of contamination by microorganisms in cellular agriculture. Therefore, this study aimed to evaluate the thermal tolerance of foodborne pathogens cultured in L-15 with varying FBS concentrations (0%, 2%, and 10%) at 36°C, subjecting the media formulations to thermal treatments at 55, 60, 65, 70, and 75°C. The highest thermal inactivation gradients for bacteria were observed in media containing 10% FBS, suggesting that the presence of 10% FBS plays a significant role in increasing bacterial susceptibility to thermal treatment. Escherichia coli cultured in 10% FBS and subjected to 55°C exhibited the highest D-value compared to those cultured in 0% and 2% FBS. However, Salmonella cultured in 10% FBS showed opposite trends with the lowest D-value. Among the Gram-positive and Gram-negative bacteria evaluated, E. coli exhibited the highest z-value across all tested media, signifying its exceptional thermal tolerance compared to the other bacteria. Gram-negative bacteria (E. coli and Salmonella) had decreasing z-values with higher FBS, while Gram-positive bacteria (Listeria and Staphylococcus) showed opposite trends. This study establishes that bacterial response to serum concentrations significantly impacts thermal treatments in cell culture-based food processing and storage. Additionally, the impact of thermally treated samples on cell performance showed no significant difference in cell metabolic activities between control (unpasteurized media) and media pasteurized at 55°C for 75.24 minutes. However, increasing temperature significantly reduced cell metabolic activities, with the lowest metabolic activities observed in cells grown in media heated to 75°C for 0.54 min.
Innovative treatment model for malignant rhabdoid tumor
Xinrong Lin
jian li

Xinrong Lin

and 6 more

August 29, 2024
MRT is a highly malignant tumor that commonly occurs in children. Despite the current multidisciplinary treatment approach combining surgery, chemotherapy, and radiotherapy, the 3-year survival rate for affected children remains significantly low. This article presents three cases where a novel chemotherapy regimen and maintenance therapy were employed in conjunction with surgical and radiation treatments, resulting in favorable therapeutic outcomes. These findings demonstrate the feasibility and potential of the innovative personalized treatment approach utilized. Personalized treatment involves tailoring therapeutic strategies to the specific characteristics and biological behavior of individual patients. This approach holds promise in improving outcomes for children with MRT. Further research and clinical application will contribute to advancing the use of personalized treatment in the management of MRT.
Effect of nutritional stress and serum starvation on the optical absorbance of normal...
Juliana Estephan Nobile
Daniele Heguedusch

Juliana Stephan Nobile

and 7 more

August 29, 2024
Photobiomodulation has the potential to modulate cellular responses in various pathological conditions by affecting different signaling pathways. This study aimed to investigate the optical absorbance spectra of normal, dysplastic, and malignant epithelial cell lines under normal and nutritional stress conditions. HaCAT (keratinocyte), DOK (oral dysplastic), and oral squamous cell carcinoma (OSCC) cell lines (CA1, Luc4, SCC9) were evaluated regarding their optical absorbance after culture with 0-10% fetal bovine serum. Absorbance measurements indicated that HaCAT under serum starvation exhibited higher absorbance at blue (430nm) and near-infrared (906nm) wavelengths. DOK showed absorption at 440 nm and 945 nm. OSCC cells showed absorption peaks at blue (400-428nm) and near-infrared. These findings highlight the importance of tailoring PBM parameters to individual needs to achieve optimal absorption and effectiveness. Moreover, the higher absorption peaks in the blue region support further studies to elucidate the potential use of blue light in oral dysplastic lesions and OSCC.
Exploring bacterial dynamics in food spoilage: A metagenomic perspective
Kareem Siraj
Kathireshan A K

Kareem Siraj

and 3 more

August 29, 2024
The risk of food borne infections and food deterioration poses a significant threat to global economy as well as public health. There are persistent consequences to certain food-borne infections. An estimated 600 million food-borne disease cases per year remain underestimated globally, due to inadequate reporting. Food degradation, which may be brought on by many microorganisms including bacteria, viruses, fungi, parasites, and more, can result in food-borne diseases. Out of these, bacteria are the most common source of food spoilage. There are various drawbacks to the food safety assessment methods used today.  Polymerase chain reactions and culture methods are labor-intensive, time-consuming, and prone to significant bias, making them unsuitable for dealing with sudden outbreaks. The development of metagenomics has made it possible to directly analyze genomes and has the potential to alter the analysis of food safety. The method makes it possible to access the genetic makeup of microorganisms, particularly those that cannot be cultured. Metagenomic sequencing and library creation offer improved community preparedness for future epidemics and food safety monitoring in addition to the diagnosis of food-borne illnesses. The foundation of metagenomics continues to be whole genome sequencing, and in recent years, the number of metagenome shotgun curated datasets has increased dramatically.  Compared to 16S rRNA gene fingerprinting or unreliable epidemiological techniques, the advantages are substantial and crucial for the rapid and precise determination of the cause of microbial ailments. Key words: Food safety, Food spoilage, Metagenomics.
11institutetext: Knowledge-based Systems and Document Processing Research Group Facu...
E. Burton
M. Scannell

E. Burton

and 2 more

August 29, 2024
Purpose Prior approval for reimbursement is a cost containment policy, aimed at reducing demand. It has been employed in Ireland to address financial challenges due to the shift from warfarin to Direct Oral Anticoagulant (DOACs). Studies assessing the effectiveness of this policy are limited. Thus, we aimed to examine the effectiveness of prior approval for reimbursement of DOACs (apixaban, rivaroxaban) as a cost containment policy in Ireland. Methods The Irish Health Service Executive-Primary Care Reimbursement Service database was used in this cross-sectional study. We examined the prescribing frequencies and associated costs of the oral anticoagulants; ((OACs) apixaban, rivaroxaban, and warfarin) listed in the top 100 most frequently prescribed drugs, between 2018 and 2021. Interrupted time series Poisson regression was used to assess the impact of removing the approval requirement of apixaban in September 2019 followed by the other DOACs in November 2020. Results The prescribing frequency of OACs increased by almost 20% from 2018-2021. This study showed there were significant differences in the proportion of OACs prescribed among the Community Drug Schemes. A statistically significant decreased use of apixaban (<1%, p<0.05) occurred when prior approval was removed for all DOACs. Conclusions The removal of prior approval for reimbursement of DOACs in Ireland had a minimal impact on the prescribing frequency trends of the OACs. Future use of these potentially useful policies by healthcare systems requires careful consideration of drug type, approval criteria and length of time the policy remains in place to minimise any negative effects associated with their use.
CREB and CREM reciprocally regulate expression of ST2 in Tregs and mediate the balanc...
Sudheendra Hebbar Subramanyam
Judit Hriczko

Sudheendra Hebbar Subramanyam

and 28 more

August 29, 2024
Background: Regulatory T cells (T regs) are gatekeepers of immune homeostasis and characterized by expression of Foxp3, which maintains T reg identity. The cAMP response element binding protein CREB is suggested to regulate T reg function and expression, however detailed analysis of CREB function in Tregs is lacking. Methods: Mice with a Foxp3-specific knockout of CREB were generated, phenotypically characterized using flow cytometry and serological testing and Tregs were subjected to whole transcriptome, TSDR methylation and ATACseq analysis. An ovalbumin induced asthma model and a T cell transfer colitis model were performed. Results: CREB deficient T regs expand in vivo but show a reduced Foxp3 expression combined with an enhanced expression of ST2, IL-5, IL-13, IL-10, and CREM, while GATA3 was not altered. Enhanced prevalence of ST2 positive Tregs was found in different organs. CREB deficient T regs were suppressive in vitro and prevented disease activity in the Th1 model of T cell mediated transfer colitis in an IL-10 dependent way while Foxp3 CRECREB fl/fl mice showed enhanced ovalbumin mediated asthma severity and spontaneous IgE production. While TSDR methylation was unchanged in CREB deficient T regs, deficiency of CREB alters chromatin accessibility at the ST2, IL13 and CREM locus. Additional genetic CREM deficiency reversed the ST2 phenotype and worsened colitis. Conclusion: Our data suggest that the balance between CREB and CREM expression is important for the regulation of ST2 expression in T regs and for the balance between type 1 and type 2 immune responses.
A Novel Deep Learning Approach for Bipolar Disorder Classification via Quantitative E...
Saeed zahedi rad
Amir toranj simin

Saeed zahedi rad

and 1 more

August 29, 2024
Reliable diagnosis and differentiation of bipolar disorder pose significant challenges due to symptom overlap with other psychiatric disorders. Inaccurate or delayed diagnosis can severely impact patient lifestyle and health, underscoring the need for precise diagnostic methods. A reliable diagnosis is crucial for effective treatment and interventions, helping patients return to routine life and offering economic and non-economic benefits. Therefore, accurate diagnostic approaches that minimize dependence on environmental or physical conditions and patient-reported symptoms are imperative. Electroencephalogram (EEG) signals, which provide significant diagnostic information, are commonly used in diagnosing psychiatric diseases. This study focuses on classifying bipolar disorder using advanced EEG signal processing and analysis. Recording EEG signals and extracting valuable features can be analyzed with intelligent methods to achieve high diagnostic accuracy. Specifically, our study employs Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA) for feature extraction, followed by a GoogLeNet-based approach optimized with Genetic Algorithms (GA). Our findings reveal that the GoogLeNet-based method achieves a superior accuracy of 99.1%, significantly outperforming conventional neural network approaches. Additionally, using the Brain Health Index (BHI) to represent brain activity in different frequency bands provides a clear visualization of significant differences between normal and bipolar individuals, particularly in the theta frequency band. This approach enhances diagnostic precision and supports personalized treatment planning, ultimately improving therapeutic outcomes for patients with bipolar disorder.
Doses, serum concentrations and diagnoses of Norwegian quetiapine users 2001-2019 in...
Håvard Breivik
Andreas Westin

Håvard Breivik

and 2 more

August 29, 2024
Over the past decade, increasing off-label use of quetiapine has been reported worldwide from various sources. We wanted to investigate how this is reflected in therapeutic drug monitoring (TDM) data. Requisitions for serum concentration measurements of quetiapine from a TDM service in Central Norway during 2001-2019 were obtained, and analyzed for trends in quetiapine doses, serum concentrations, demographics and indicators of diagnoses. 19759 samples from 7459 individuals were included. Daily doses of quetiapine decreased by 24 mg per year (95% CI -25.61 - -21.48, p<0.001, N=4505). A corresponding decrease in quetiapine serum concentrations was not seen. The proportion of requisitions with diagnoses indicating reimbursable use, i.e. within approved indications, was 13 % for the whole study period. Mean daily doses were slightly higher in the reimbursable group, but declined over time in these samples, as well. To our understanding, these results provide additional documentation of increasing low-dose usage of quetiapine, and signal both increasing off-label use, as well as possibly higher dose-intake than prescribed and incorrect filing of reimbursable use in this population. There is a continued need for investigation and characterization of quetiapine use and prescription practices, and the extent of and motivations for off-label prescription of the drug.
Schisanhenol alleviates Mycophenolic Acid-induced intestinal epithelial cell barrier...
Yiyun Deng
Hui Liu

Yiyun Deng

and 8 more

August 29, 2024
Reactive oxygen species (ROS)-mediated apoptosis of intestinal epithelial cells and loss of tight junction (TJ) proteins may be the primary causes of mycophenolic acid (MPA)-induced disruption of intestinal epithelial barrier function, leading to intestinal toxicity. Currently, there are no effective preventive or curative drugs for this condition. Schisanhenol (Sal), the most potent antioxidant lignan component in the traditional Chinese medicine Schisandra chinensis. The aim of this study was to examine the protective effects and potential mechanisms of Sal on MPA-induced damage to the intestinal mechanical barrier. After co-treating Caco-2 cells with Sal and MPA for 24 hours, we observed that Sal significantly reversed MPA-induced inhibition of cell viability, increased Bcl-2 protein expression, and reduced apoptosis. Sal also significantly upregulated the expression of TJ proteins ZO-1 and occludin, thereby reducing paracellular gaps. Additionally, the nuclear factor-E2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) pathway, which is crucial in regulating cellular redox homeostasis. Results showed that Sal inhibited MPA-induced activation of the Nrf2/HO-1 pathway, decreased ROS production, and increased antioxidant levels. In conclusion, Schisanhenol may exert a protective effect against MPA-induced damage to the intestinal epithelial barrier by activating the Nrf2/HO-1 pathway and improving cellular antioxidant capacity.
Genomic introgressions may affect hybridogenetic reproduction in water frog hybrids
Eleonora Pustovalova
Lukáš Choleva

Eleonora Pustovalova

and 3 more

August 29, 2024
One of the most intriguing outcomes of hybridization is the emergence of asexual hybrids, where canonical gametogenesis is altered, leading to clonal or hemiclonal genome propagation. However, maintaining these lineages is challenging due to frequent irregularities in gamete formation. These irregularities increase the diversity of gametogenic pathways, though their triggers and outcomes remain unknown. We studied these processes in water frog hybrids from the Pelophylax esculentus complex, which reproduce asexually via hybridogenesis. During this process, P. esculentus hybrids usually produce gametes with a genome from either P. ridibundus or P. lessonae. Using fluorescent in situ hybridization with probes to species-specific satellite repeats, we identified genome composition in spermatocytes and spermatids from 47 hybrid males collected from four localities in Eastern Ukraine. Some males exclusively eliminated either the P. ridibundus or P. lessonae genome, suggesting selection before meiosis. Other males transmitted gametes with both genomes simultaneously, indicating elimination of one genome from different gonocyte populations. Such variability in gametogenic pathways among males from different localities implied independent hybrid origins. Additionally, abnormal pairing between P. ridibundus and P. lessonae chromosomes during meiosis indicated an inability to eliminate and endoreplicate genomes of parental species. By comparative genome hybridization, we for the first time identified intensive genome rearrangements between ridibundus and lessonae chromosomes and unstained chromosomal parts suggesting the introgression of different species genome in such hybrids. These genomic rearrangements and introgressions affect hybridogenetic reproduction, causing aneuploidy in gametes.
Observer-based Hybrid Event-triggered Model Predictive Tracking Control for Mecanum-w...
Binghao Yang
Dongliang Wang

Binghao Yang

and 6 more

August 29, 2024
With the increasing prevalence of omnidirectional mobile robots in industrial applications, such as collaborative transportation and cargo classification, the demand for computational power in these robots has grown significantly. Model Predictive Control (MPC) is widely used for trajectory tracking due to its exceptional ability to handle constraints; however, it is computationally intensive. Therefore, our core approach proposes a hybrid event-triggering mechanism to minimize the reliance on MPC. When the tracking error remains within a specified threshold, the system continues using the existing optimal control sequence without resolving the MPC optimization problem, thereby reducing computational complexity. However, less frequent use of MPC can lead to decreased tracking accuracy. To address this issue, we incorporate a novel sliding mode observer to compensate for errors and mitigate the effects of unknown disturbances. To validate the performance of the proposed controller, we conducted simulations comparing the trajectory tracking performance of traditional MPC, event-triggered MPC, and observer-based MPC under disturbance conditions. The results demonstrate that the proposed algorithm maintains tracking accuracy while significantly reducing computational load.
The action and mechanisms of neferine on diseases related to inflammation
Ying Li
Qin Zhang

Ying Li

and 2 more

August 29, 2024
Neferine, a bisbenzylisoquinoline alkaloid derived from the seed embryo of Nelumbo nucifera, a traditional Chinese medicine, has been studied for its therapeutic potential in various disease models. Research indicates that neferine exhibits significant pharmacological activities, including anti-tumor, anti-inflammatory, anti-fibrosis, anti-oxidative stress, anti-platelet aggregation, and anti-arrhythmic effects. Inflammation is an adaptive response to diverse signals, and this paper reviews the anti-inflammatory properties and underlying mechanisms of neferine observed in both in vivo and in vitro studies, offering new insights into the treatment of inflammation-related diseases.
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