bluuebunny/crossref_metadata_2025 huggingface dataset:
Toward Ab Initio Reaction Discovery Using the Artificial Force Induced Reaction Method
Authors: Maeda Satoshi , Harabuchi Yu , Hayashi Hiroki , Mita Tsuyoshi
Published: January 2023

Predicting the whole process of a chemical reaction while solving kinetic equations presents an opportunity to realize an on-the-fly kinetic simulation that directly discovers chemical reactions with their product yields. Such a simulation avoids the combinatorial explosion of reaction patterns to be examined by narrowing the search space based on the kinetic analysis of the reaction path network, and would open a new paradigm beyond the conventional two-step approach, which requires a reaction path network prior to performing a kinetic simulation. The authors addressed this issue and developed a practical method by combining the artificial force induced reaction method with the rate constant matrix contraction method. Two algorithms are available for this purpose: a forward mode with reactants as the input and a backward mode with products as the input. This article first numerically verifies these modes for known reactions and then demonstrates their application to the actual reaction discovery. Finally, the challenges of this method and the prospects for ab initio reaction discovery are discussed.
The unique structural characteristics of the Kir 7.1 inward rectifier potassium channel: a novel player in energy homeostasis control
Authors: Hernandez Ciria C. , Gimenez Luis E. , Dahir Naima S. , Peisley Alys , Cone Roger D.
Published: January 2023

The inward rectifier potassium channel Kir7.1, encoded by the KCNJ13 gene, is a tetramer composed of two-transmembrane domain-spanning monomers, closer in homology to Kir channels associated with potassium transport such as Kir1.1, 1.2, and 1.3. Compared with other channels, Kir7.1 exhibits small unitary conductance and low dependence on external potassium. Kir7.1 channels also show a phosphatidylinositol 4,5-bisphosphate (PIP2) dependence for opening. Accordingly, retinopathy-associated Kir7.1 mutations mapped at the binding site for PIP2 resulted in channel gating defects leading to channelopathies such as snowflake vitreoretinal degeneration and Leber congenital amaurosis in blind patients. Lately, this channel’s role in energy homeostasis was reported due to the direct interaction with the melanocortin type 4 receptor (MC4R) in the hypothalamus. As this channel seems to play a multipronged role in potassium homeostasis and neuronal excitability, we will discuss what is predicted from a structural viewpoint and its possible implications for hunger control.
Did you forget your cell sex? An update on the inclusion of sex as a variable in AJP-Cell Physiology
Authors: Holland Anthony , Bradbury Neil A.
Published: January 2023

“I don’t know the question, but sex is definitely the answer!,” was a Woody Allen quote cited by Fuller and Insel in an Editorial Comment in 2013 on the importance of cell sex in submissions to AJP-Cell Physiology, and in biomedical research in general. The notion that cell sex is important is axiomatic in studies on prostate cancer (LnCAP) or placental physiology (BeWo). Indeed, most researchers are aware that HeLa cells are female cervical derived, and CHO are female hamster ovary cells, yet beyond those well-known examples, it would be fair to assume that the sex of cells derived from kidney, lung, or liver, for example, is given cursory, if any thought. In the end, what possible impact could the presence or absence of a Y chromosome have on protein trafficking in a nonreproductive tissue, such as a pancreatic β cell? However, this approach to cell, and indeed organismal physiology, seems to be in conflict with accumulating data, that show that far from being irrelevant, genes expressed off sex chromosomes have a broad-ranging impact on cells as diverse as neurons and renal cells. Moreover, it is also the policy of AJP-Cell Physiology that the source of all cells used (species, sex, etc.) should be clearly indicated when submitting an article for publication ( https://journals.physiology.org/author-info.manuscript-composition ). In 2013, we wrote a review examining how faithfully such requirements were adhered to in submissions to Cell Physiology. Nearly a decade later, it seems fitting to revisit the topic and ask if any improvements have been made in the description of cells and cell lines used in publications submitted to AJP-Cell Physiology.
The role of PIEZO ion channels in the musculoskeletal system
Authors: Savadipour Alireza , Palmer Daniel , Ely Erica V. , Collins Kelsey H. , Garcia-Castorena Jaquelin M. , Harissa Zainab , Kim Yu Seon , Oestrich Arin , Qu Feini , Rashidi Neda , Guilak Farshid
Published: January 2023

PIEZO1 and PIEZO2 are mechanosensitive cation channels that are highly expressed in numerous tissues throughout the body and exhibit diverse, cell-specific functions in multiple organ systems. Within the musculoskeletal system, PIEZO1 functions to maintain muscle and bone mass, sense tendon stretch, and regulate senescence and apoptosis in response to mechanical stimuli within cartilage and the intervertebral disc. PIEZO2 is essential for transducing pain and touch sensations as well as proprioception in the nervous system, which can affect musculoskeletal health. PIEZO1 and PIEZO2 have been shown to act both independently as well as synergistically in different cell types. Conditions that alter PIEZO channel mechanosensitivity, such as inflammation or genetic mutations, can have drastic effects on these functions. For this reason, therapeutic approaches for PIEZO-related disease focus on altering PIEZO1 and/or PIEZO2 activity in a controlled manner, either through inhibition with small molecules, or through dietary control and supplementation to maintain a healthy cell membrane composition. Although many opportunities to better understand PIEZO1 and PIEZO2 remain, the studies summarized in this review highlight how crucial PIEZO channels are to musculoskeletal health and point to promising possible avenues for their modulation as a therapeutic target.
Discoidin domain receptor-2 enhances secondary alveolar septation in mice by activating integrins and modifying focal adhesions
Authors: McGowan Stephen E.
Published: January 2023

The extracellular matrix (ECM) of the pulmonary parenchyma must maintain the structural relationships among resident cells during the constant distortion imposed by respiration. This dictates that both the ECM and cells adapt to changes in shape, while retaining their attachment. Membrane-associated integrins and discoidin domain receptors (DDR) bind collagen and transmit signals to the cellular cytoskeleton. Although the contributions of DDR2 to collagen deposition and remodeling during osseous development are evident, it is unclear how DDR2 contributes to lung development. Using mice ( smallie, Slie/Slie, DDR2Δ) bearing a spontaneous inactivating deletion within the DDR2 coding region, we observed a decrease in gas-exchange surface area and enlargement of alveolar ducts. Compared with fibroblasts isolated from littermate controls, DDR2Δ fibroblasts, spread more slowly, developed fewer lamellipodia, and were less responsive to the rigidity of neighboring collagen fibers. Activated β1-integrin (CD29) was reduced in focal adhesions (FA) of DDR2Δ fibroblasts, less phospho-zyxin localized to and fewer FA developed over ventral actin stress fibers, and the adhesions had a lower aspect ratio compared with controls. However, DDR2 deletion did not reduce cellular displacement of the ECM. Our findings indicate that DDR2, in concert with collagen-binding β1-integrins, regulates the timing and location of focal adhesion formation and how lung fibroblasts respond to ECM rigidity. Reduced rigidity sensing and mechano-responsiveness may contribute to the distortion of alveolar ducts, where the fiber cable-network is enriched and tensile forces are concentrated. Strategies targeting DDR2 could help guide fibroblasts to locations where tensile forces organize parenchymal repair.
Developmental trajectory of extracellular vesicle characteristics from the lungs of preterm infants
Authors: Ransom Meaghan A. , Bunn Kaitlyn E. , Negretti Nicholas M. , Jetter Christopher S. , Bressman Zachary J. , Sucre Jennifer M. S. , Pua Heather H.
Published: January 2023

Extracellular vesicles (EVs) are secreted lipid-enclosed particles that have emerged as potential biomarkers and therapeutic agents in lung disease, including bronchopulmonary dysplasia (BPD), a leading complication of preterm birth. Many unanswered questions remain about the content and cargo of EVs in premature infants and their role in lung development. To characterize EVs during human lung development, tracheal aspirates were collected from premature neonates between 22 and 35 wk gestational age and analyzed via nanoparticle tracking analysis, electron microscopy, and bead-based flow cytometry. EVs were detectable across late canalicular through saccular stages of lung development, demonstrating larger sizes earlier in gestation. EVs contained an abundance of the EV-enriched tetraspanins CD9, CD63, and CD81, as well as epithelial cell and immune cell markers. Increases in select surface proteins (CD24 and CD14) on EVs were associated with gestational age and with the risk of BPD. Finally, query of expression data obtained from epithelial cells in a single-cell atlas of murine lung development found that epithelial EV marker expression also changes with developmental time. Together, these data demonstrate an association between EV profile and lung development and provide a foundation for future functional classification of EVs, with the goal of determining their role in cell signaling during development and harnessing their potential as a new therapeutic target in BPD.
Root mean square of successive differences is not a valid measure of parasympathetic reactivity during slow deep breathing
Authors: Ali M. Khawar , Liu Lijun , Hussain Amer , Zheng Difei , Alam Marzia , Chen Ji-Hong , Huizinga Jan D.
Published: January 2023

Deep breathing exercises are the second most used complementary health approach in the United States. Two heart rate variability (HRV) parameters, the root mean square of successive differences (RMSSD) and the respiratory sinus arrhythmia (RSA), are used to assess parasympathetic reactivity to deep breathing, but they are often not in agreement. Our purpose was to determine the cause of the disagreement. We investigated HRV parameters in 38 subjects during baseline, deep breathing, and recovery. Here we show that RMSSD as a measure of parasympathetic reactivity is unreliable; it does not reflect the increase in HRV during deep breathing as determined by RSA. We observed a decrease in RMSSD values despite a marked increase in HRV as determined by RSA and the standard deviation of normal heartbeat interval (SDNN) in healthy subjects and patients with functional bowel disorders. We show that RSA captures all aspects of HRV, whereas successive differences in heart rate intervals are only a small part of HRV, with decreasing variability during deep breathing in most subjects. We present a new measure of calculating RSA during deep breathing that may become an essential tool for researchers and clinicians. We also provide a unique visualization of the increased heart rate variability during deep breathing. Hence, RMSSD cannot be used to assess parasympathetic reactivity during deep breathing; using RSA is recommended. The use of RMSSD in previous influential studies may have led to erroneous conclusions about parasympathetic reactivity during deep breathing. Its continued use may undervalue the effects of the autonomic nervous system in slow deep breathing.
BUPNN: Manifold Learning Regularizer‐Based Blood Usage Prediction Neural Network for Blood Centers
Authors: Pan Lingling , Zang Zelin , Ma Siqi , Hu Wei , Hu Zhechang
Published: January 2023

Blood centers are an essential component of the healthcare system, as timely blood collection, processing, and efficient blood dispatch are critical to the treatment of patients and the performance of the entire healthcare system. At the same time, an efficient blood dispatching system through the high‐precision predictive capability of artificial intelligence is crucial for the efficiency improvement of the blood centers. However, the current artificial intelligence (AI) models for predicting blood usage do not meet the needs of blood centers. The challenges of AI models mainly include lower generalization ability in different hospitals, limited stability under missing values, and low interpretability. An artificial neural network‐based model named the blood usage prediction neural network (BUPNN) has been developed to address these challenges. BUPNN includes a novel similarity‐based manifold regularizer that aims to enhance network mapping consistency and, thus, overcome the domain bise of different hospitals. Moreover, BUPNN diminishes the performance degradation caused by missing values through data enhancement. Experimental results on a large amount of accurate data demonstrate that BUPNN outperforms the baseline method in classification and regression tasks and excels in generalization and consistency. Moreover, BUPNN has solid potential to be interpreted. Therefore, the decision‐making process of BUPNN is explored to the extent that it acts as an aid to the experts in the blood center.
Cancer-Associated Fibroblasts Affect Tumor Metabolism and Immune Microenvironment in Gastric Cancer and Identification of Its Characteristic Genes
Authors: Gao Chanchan , Liu Fei , Ye Qiuju , Guo Aiping
Published: January 2023

Background. Cancer-associated fibroblasts (CAFs) have reported widely involved in cancer progression. However, its underlying mechanism in gastric cancer is still not clarified. Methods. The data used in this study were all downloaded from the Cancer Genome Atlas database. R software and the R packages were used for all the analyses. Results. In our study, we first quantified the CAFs infiltration using the ssGSEA algorithm. The clinical correlation result showed that CAFs were associated with a worse prognosis and clinical features. Pathway enrichment also indicated several oncogenic pathways in GC patients with high CAFs infiltration, including epithelial-mesenchymal transition (EMT), myogenesis, allograft rejection, the inflammatory response, and IL2/STAT5 signaling. Furthermore, FNDC1 and RSPO3 were identified as the characteristic genes of CAFs through two machine learning algorithms, LASSO logistic regression and SVM-RFE. The following analysis showed that FNDC1 and RSPO3 were associated with more progressive clinical features and had a good prediction efficiency of the CAFs infiltration status in GC patients. Pathway enrichment and genomic instability were performed to explore the underlying mechanisms of FNDC1 and RSPO3. Immune infiltration analysis showed that CAFs were positively correlated with M2 macrophages. Moreover, we found that the GC patients with low CAFs infiltration were more sensitive to immunotherapy. Also, the CAFs, FNDC1, and RSPO3 could generate a certain effect on the sensitivity of doxorubicin, mitomycin, and paclitaxel. Conclusions. In summary, our study comprehensively investigated the role of CAFs in GC, which might be associated with immunotherapy sensitivity. Meanwhile, FNDC1 and RSPO3 were identified as the underlying targets of GC.
Distribution of Virulence Genes in Campylobacter spp. Isolated from Agaricus Mushrooms in Iran
Authors: Emami Maryam Sadat , Shakerian Amir , Chaleshtori Reza Sherafati , Rahimi Ebrahim
Published: January 2023

The white button mushroom (Agaricus) is a significant nutritional and therapeutic species utilized in the human diet and could transmit various bacterial infections. Campylobacter species are the most common cause of foodborne illness across the world. The present study has been planned to determine the frequency of virulence genes and antibiotic susceptibility test in Campylobacter spp. recovered from Agaricus mushroom. In this study, 740 Agaricus mushroom samples were gathered randomly from various markets from June 2020 to December 2020. Confirmation of Campylobacter spp. using biochemical analyses and 23S rRNA‐based PCR was performed. The agar dilution technique was used to determine resistance to antibiotics using gentamicin (GM10μg), ciprofloxacin (CIP5μg), nalidixic acid (NA30μg), tetracycline (TE30μg), ampicillin (AM10μg), amoxicillin+ clavulanic acid (AMC30μg), erythromycine (E15μg), azithromycin (AZM15μg), clindamycin (CC2μg), and chloramphenicol (C30μg). Multiplex PCR was utilized to determine the prevalence of the recR, dnaJ, wlaN, virBll, cdtC, cdtB, cdtA, flaA, cadF, pidA, ciaB, ceuE, and cgtB genes. Campylobacter spp. were detected in 74 out of 740 Agaricus mushroom samples (10%). According to the data, Agaricus mushroom samples included 32 (4.32%) C. jejuni, 11 (1.48%) C. coli, and 31 (4.18%) other Campylobacter spp. Antimicrobial resistance was most common in C. jejuni isolates. C. jejuni isolates also had the lowest resistance rate to gentamycin, ciprofloxacin, and nalidixic acid. C. coli isolates were reported to have the highest antimicrobial resistance to ciprofloxacin, ampicillin, and erythromycine. Resistance to gentamycin and amoxicillin+ clavulanic acid was likewise lowest among C. coli strains. The flaA and ciaB genes were found in 100% of B‐lactams‐susceptible C. jejuni and C. coli strains. When examining the relationship between antibiotic resistance and the existence of virulence genes, it was observed that there is a statistically significant relationship (p < 0.001) between bacterial resistance and virulence genes. Our findings indicated that changes in resistance patterns in Campylobacter strains have emerged from multiple treatment approaches in Agaricus mushrooms.
Application of Multimodal Multimedia Information and Big Data Technology in Teaching Chinese as a Foreign Language Course
Authors: Nie Yanhua
Published: January 2023

With the change of the times, under the leadership of big data, cloud computing, network technology, mobile Internet, and other high technology, education has gradually broken free from the traditional teaching mode. At the same time, advanced technology has also lifted the confinement of traditional teaching mode in space and time and opened the skylight of intelligent thinking mode. From the current situation of Chinese language fever around the world, the demand of Chinese language learners for learning materials and learning resources will continue to increase in the future. With the continuous development of Internet education, the combination of Internet technology and international Chinese education will definitely become the key direction for the development of international Chinese education. In this context, online teaching resources will become an important basis for the development of “Internet+Chinese international education”, so it is necessary to investigate and study the online teaching resources of “Internet+Chinese international education.” As a matter of fact, with the development of society and the advancement of technology, the era of informationization has come. As a result, the main theme of education in the information age is to provide suitable education for students who want to learn Chinese and to promote the active and lively development of each student. In the past, the one-size-fits-all education model of classroom teaching could not meet the individual development of students and the demand of society for diversified talents. Therefore, the traditional teaching of Chinese as a foreign language is in urgent need of change, and personalized teaching is attracting attention. With the emergence of technologies such as cloud computing, Internet of Things, and big data in education, personalized teaching has received technical support. This paper is aimed at exploring how to apply the new technologies in the teaching process to help teachers personalize teaching, stimulate students’ interest in learning, meet their individual needs, break through the traditional teaching methods, and make it possible to teach according to their abilities. As one of the main learning resources, the quality of multimedia courseware will be the criterion to measure whether it meets the teaching and learning needs. Consequently, the use of big data, multimedia, and multimodal technologies to improve the Chinese language material library and develop special software for teaching Chinese as a foreign language, as well as the production of high-quality multimedia courseware that is highly compatible with the teaching materials, will become the trend of future research.
The Supervision Mechanism of Residents’ Waste Separation Behavior: Analysis Using a Tripartite Evolutionary Game Model
Authors: Hao Mengge , Xu Shichun , Zhang Jingnan , Meng Xiaona
Published: January 2023

To promote residents’ waste separation behavior, waste separation supervision has been a crucial need. This paper aims to explore the supervision mechanism of residents’ waste separation behavior using a tripartite evolutionary game model. The evolutionary stability conditions of resident, property service enterprise, and the government were analyzed. The influences of the main parameters on the strategy of three stakeholders were explored through numerical simulation. The results show that the regulatory mechanism of waste separation will reach the optimal stable strategy when the following conditions are satisfied: (1) the penalty for nonclassification is higher than the difference between classification cost and the total benefit of classification; (2) the subsidy to property services enterprise is greater than the total cost of positive participation management. Residents’ behaviors are mainly influenced by rewards and punishments. The behavioral strategies of property service companies are more sensitive to subsidies than penalties. In the early stage of mandatory waste separation, it is important to reduce the cost of residents’ separation, develop the publics’ environmental awareness, and increase the willingness of properties to participate in management. This paper presents a new perspective and theoretical guidelines for the local government and communities to supervise residents’ waste separation behaviors in China and other developing countries and offers useful insights into waste separation management for other countries.
Poor Prognostic Biomarker KIAA1522 Is Associated with Immune Infiltrates in Hepatocellular Carcinoma
Authors: Shi Yongjie , Xiao Qiwen , Huang Sicong , Pan Qimou , Jia Hongyun , Zhou Qiang , Wei Jie , Kang Jiale , Li Zhe , Hu Yingyu
Published: January 2023

Background. The prognosis is poor for hepatocellular carcinoma (HCC), a tumor and cancer associated with inflammation that is common. New data showed that significant levels of KIAA1522 were expressed in HCC tissues and cell lines, suggesting that KIAA1522 may be a highly useful prognostic marker for HCC. However, its biochemical processes and impacts on the immune system go deeper. Objective. To verify the significance of KIAA1522 in HCC and investigate its related carcinogenic mechanisms. Methods. Studies examining the relationship between KIAA1522 expression and clinical-pathologic characteristics in HCC have been checked in the Cancer Genome Atlas (TCGA) database. A receiver operating characteristic (ROC) curve was used to assess the diagnostic efficacy of KIAA1522 in HCC. Western blot analysis was used to find the presence of the KIAA1522 protein in the tumor and paraneoplastic tissues of eight randomly chosen HCC patients. The GSVA program in R language was used to evaluate the relationship between KIAA1522 and immune cell infiltration in HCC. We searched the Search Tool for the Retrieval of Interacting Genes (STRING) database for interacting proteins connected to the expression of KIAA1522. Pathways were involved in the enrichment analysis of KIAA1522 to anticipate potential mechanisms through which KIAA1522 may affect immunological infiltration. Results. Our study found that KIAA1522 was commonly elevated in HCC tumor tissues and that it also signaled a bad outcome. We found an inverse link between KIAA1522 and cytotoxic cells and an inverse relationship between KIAA1522 and Th2 cell infiltration. In STRING analysis, the top 5 coexpressed proteins of KIAA1522 were BAIAP2, NCK2, TSNAXIP1, POGK, and KLHL31. The effect of KIAA1522 on HCC may entail cell cycle alteration, an immunological response, and suppression of the PPAR signaling pathway. Conclusion. High expression of KIAA1522 was linked to HCC immune cell infiltration, disease progression, and a poor prognosis.
Microstructural Evolution in Nonvacuum Solid-State Diffusion Bonded Joints of AA2219
Authors: Vatnalmath Manjunath , Auradi V. , Bharath V. , Nagaral Madeva , Nagaraj N. , Lenin A. Haiter
Published: January 2023

Solid-state diffusion bonding of AA2219 alloy is carried out under the nonvacuum condition to form AA2219/AA2219 joints. In the currently adopted method, AA2219 alloys are joined under the bonding temperature of 450–500°C, bonding pressure of 10 MPa, and bonding time of 30 min. Chemical cleaning is adopted to protect the joining surfaces from reoxidation before the diffusion bonding process. Microstructure evolution at the bonded joints is characterized using optical microscopy, scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS). The hardness at the bonded joints increased with the increase in the bonding temperature. The parent metal structure is achieved at 500°C bonding temperature with an increase in hardness of 112.14 Hv at the bond interface. There is no evidence of intermetallic found at the interface, as confirmed by X-ray diffraction (XRD).
Development of the Korean Version of the Drooling Infants and Preschoolers Scale
Authors: Min Kyoung Chul , Hong Mi Young , Hong Ickpyo , Woo Hee Soon
Published: January 2023

Objective. This study is aimed at translating and cross-culturally adapting the Drooling Infants and Preschoolers Scale (DRIPS) into Korean cultural context and examine the content validity and reliability of the Korean version, which is referred as K-DRIPS. Methods. An iterative forward-backward translation sequence of the DRIPS was performed by 20 Korean health professional experts (i.e., occupational therapists (OTs) and professors) with more than 10 years of experience. The study subjects were 77 children with cerebral palsy (CP) exhibiting drooling symptoms aged 2-7 years. They were recruited from two children’s rehabilitation hospitals in Korea and completed the K-DRIPS. The content validity and internal consistency of the K-DRIPS items were examined. Results. An assessment with 20 K-DRIPS items was adequately and cross-culturally adapted into Korea. All the items exhibited good content validity (content validity ratio range 4.00-4.95) and good internal consistency (Cronbach’s

α
=
0.98

). Conclusion. The study findings indicated that the K-DRIPS was successfully adapted to the Korean cultural context and demonstrated good psychometric properties. This instrument could be used for drooling assessment tool in Korean children with disabilities.
Polyetherketoneketone Mesh for Alveolar Bone Augmentation: Geometric Parameter Design and Finite Element Analysis
Authors: Hao Xiaowen , Wang Wei , Wang Chenxi , Han Jianmin , Zhang Yu
Published: January 2023

Objective. To evaluate the mechanical properties of porous polyetherketoneketone (PEKK) meshes with different thicknesses, pore sizes, and porosities through finite element analysis to provide an optimal PEKK design for alveolar bone augmentation in the posterior mandibular region. Methods. A three‐dimensional evaluation model of severe alveolar bone defects in the mandibular posterior was constructed based on cone beam computerized tomography (CBCT) data. Then, PEKK meshes with different structural designs were obtained. Two key parameters were set with different values: five levels of thickness (0.2 mm, 0.3 mm, 0.4 mm, 0.5 mm, and 0.6 mm) and three levels of pore size (1 mm, 2 mm, and 3 mm) with a corresponding porosity of 19.18%–42.67%. A 100 N physiological force was simultaneously loaded by finite element analysis (FEA), and the deformation and stress data were outputted for further analysis. Results. The deformation and stress of the PEKK meshes are negatively correlated with the changes in thickness and positively correlated with the changes in pore size. The FEA results show that the maximum deformation, equivalent stress, and maximum principal stress of the PEKK meshes are 0.168 mm–0.478 mm, 49.243 MPa–124.890 MPa, and 31.549 MPa–104.200 MPa, respectively. The PEKK mesh group with a thickness of 0.2 mm, pore size of 3 mm, and porosity of 42.67% is in danger of plastic deformation or even fracture during use. Conclusion. According to the FEA results, the PEKK meshes with larger thicknesses and smaller pore sizes and porosities behave better. In consideration of reducing soft tissue stimulation and promoting bone regeneration, an ultrathin porous PEKK mesh with a pore size of no more than 3 mm, porosity of no more than 42.67%, and thickness of 0.2 mm can be used clinically to meet the mechanical performance requirements of the guided bone regeneration (GBR) structure.
circ_0001274 Competitively Binds miR-143-3p to Upregulate VWF Expression to Improve Acute Traumatic Coagulopathy
Authors: Luo Yong , Liu Shan , Li Qing , Zhang Yonghu , Fu Yong , Yang Ning , Zeng Jian , Tan Taifa , Hu Jun , Li Fang , Zeng Liang , Zhang Wenchao , Liao Zhanchen , Wu Kai , Hu Yu , Luo Zhigang , Peng Jian
Published: January 2023

Accumulating evidence has noted the circRNA-microRNA- (circRNA-miRNA-) mRNA competing endogenous RNA (ceRNA) regulatory network in disease development and progression. The current study explored the ceRNA network in acute traumatic coagulopathy (ATC). Potential ATC-related genes were screened, and upstream miRNAs and circRNAs of VWF (the candidate target) were assayed through database searching and high-throughput sequencing technology. circ_0001274/miR-143-3p/VWF ceRNA regulatory network was constructed and validated. The expression of circ_0001274/miR-143-3p/VWF was determined in the peripheral blood samples from ATC patients and ATC mouse models. Online database and circRNA sequencing analysis results identified VWF as a key gene in ATC as supported by assays and that VWF was lowly expressed in ATC patients and mice. Further experiments demonstrated that miR-143-3p could target and inhibit VWF, and circ_0001274 could competitively sponge miR-143-3p. Functionally, circ_0001274 could competitively sequester miR-143-3p to upregulate VWF expression, potentially improving ATC. Our study highlights the critical role of circ_0001274/miR-143-3p/VWF axis in improving ATC.
Treatment Tolerance of Cetuximab versus Alternative Chemotherapy Agents in Non-Cisplatin Candidates with Head and Neck Cancer Receiving Concurrent Chemoradiotherapy
Authors: Morse Ryan T. , Ganju Rohit G. , Neeranjun Rishi , Gan Gregory N. , Cao Ying , Neupane Prakash , Kakarala Kiran , Shnayder Yelizaveta , Lominska Christopher E.
Published: January 2023

Introduction: Standard of care for radiosensitization in head and neck squamous cell carcinoma (HNSCC) is concurrent chemoradiotherapy (CCRT) with high-dose cisplatin. The optimal chemoradiation regimen for patients medically unfit for cisplatin is unclear. We compared our experience with concurrent cetuximab (CTX) versus other cytotoxic non-cisplatin agents. Methods: We reviewed 53 patients between 2011 and 2017 with HNSCC treated with CCRT ineligible for cisplatin. Chemotherapy and radiotherapy treatment tolerance was evaluated in those receiving CTX versus non-CTX chemotherapy (NCC). Of the NCC regimens, the majority were carboplatin/paclitaxel and were dosed at an area under the curve (AUC) of 2 and 45–50 mg/m2, respectively. Standard radiation dosing was 70 Gray (Gy) in the definitive setting and 60–66 Gy in the postoperative setting. Patient characteristics and treatment toxicities were evaluated using categorical methods. Results: Patients were well balanced overall including differences between performance status and the comorbidity score. NCC patients experienced more radiation treatment breaks (52.4% vs. 21.9%, p = 0.022), radiation delays >1 week (33.3% vs. 3.1%, p < 0.01), and chemotherapy dose-limiting toxicity (61.9% vs. 28.1%, p = 0.015) compared to CTX patients. Nutritional dependence on a PEG tube was more likely in the NCC cohort (52.4% vs. 22.6%, p = 0.027). Conclusion: Our results suggest decreased treatment tolerance in non-cisplatin cytotoxic chemotherapy compared to cetuximab. Further prospective study is needed to clarify optimal chemotherapy in patients unable to receive cisplatin.
Uveitis und Nagelpsoriasis bei einem Patienten ohne Gelenkbeteiligung: ein Fallbericht
Authors: Pineda-Sierra Juan Sebastián , Peña-Pulgar Luisa Fernanda , Cifuentes-González Carlos , Rojas-Carabali William , de-la-Torre Alejandra
Published: January 2023

Hintergrund: Ziel dieser Studie war, über einen Fall von bilateraler anteriorer, nichtgranulomatöser, chronischer, nichtinfektiöser Uveitis assoziiert mit isolierter Nagelpsoriasis ohne Gelenkbeteiligung zu berichten. Falldarstellung: Ein 55-jähriger Mann mit Offenwinkelglaukom in der Anamnese wurde an unser Uveitis- und Augenimmunologiezentrum mit einer intraokularen Entzündung übereinstimmend mit chronischer, nichtinfektiöser, bilateraler nichtgranulomatöser Uveitis überwiesen. Bei Vorstellung hatte er bilateral eine moderate Entzündung in der Vorderkammer sowie für Nagelpsoriasis charakteristische Läsionen. Die Nagelpsoriasis wurde später durch den Nagel-Ultraschall bestätigt, der von einem auf Psoriasis spezialisierten Radiologen durchgeführt wurde. Es wurden geeignete klinische und paraklinische Untersuchungen durchgeführt, die alle anderen möglichen Ursachen der Uveitis ausschlossen. Der Patient benötigte eine duale systemische immunmodulatorische Therapie mit Methotrexat und Adalimumab, topische entzündungshemmende Medikamente (steroidale und nichtsteroidale) und eine Anti-Glaukom-Therapie, um eine zufriedenstellende Kontrolle von Entzündung und Augendruck zu erreichen. Diskussion und Schlussfolgerungen: Dies ist der erste Bericht über eine nichtinfektiöse Uveitis im Zusammenhang mit einer Nagelschädigung bei einem Patienten ohne andere Manifestationen von Psoriasis. Trotz Berichten über den Zusammenhang zwischen Psoriasis und Uveitis liegen unzureichende Informationen über klinische Phänotypen in Kombination mit Uveitis vor, die zu einer späteren Diagnose und Behandlung der assoziierten intraokularen Entzündung führen könnten. Kliniker sollten sich aller Subtypen von Psoriasis bewusst sein, die bei diesen Patienten das Risiko für die Entwicklung einer Uveitis erhöhen.
Retinale Ischämie bei diabetischer Retinopathie
Authors: Feltgen Nicolas
Published: January 2023

Diabetic retinopathy is a major cause of vision loss worldwide and areas of retinal non-perfusion (RNP) are a key pathologic feature of the vascular component of diabetic retinopathy. While there is a need for a more complete understanding of the natural history of RNP development and progression, overall, increasing RNP has been closely linked with worsening DR severity. Both traditional and novel approaches to quantitative image assessment are being explored to advance our understanding of the vascular, physiologic and functional changes associated with progressive RNP. Retinal ischemia secondary to RNP leads to tissue hypoxia and changes in the expression of a host of signalling molecules. Current anti-vascular endothelial growth factor and steroid pharmaceutical agents appear to be unable to reperfuse areas of RNP, but may be able to slow the progressive longitudinal accumulation of RNP with regular retreatments. There remains a tremendous unmet need for pharmacotherapies that can slow RNP progression and ultimately reperfuse areas of the non-perfused retina. Towards this end, novel targets including the semaphorin family are being investigated.
Serum Human Epididymis Protein 4 as a Prognostic Predictor of New-Onset Heart Failure among Women after Acute Coronary Syndrome: A Single-Center Retrospective Study
Authors: Yan Qiqi , Wu Liuyang , Song Jikai , Ye Lifang , Zhang Qinggang , Che Xiaoru , Zhang Xin , Wang Lihong
Published: January 2023

Introduction: Little is known about the prognostic factors among women with acute coronary syndrome (ACS), partly due to the small number of women included in heart failure (HF) clinical trials. Human epididymis protein 4 (HE4) has been proven to be a new biomarker for acute and chronic HF over the years. We hypothesize that HE4 could be a promising predictor. Methods: This retrospective study analyzed data from Zhejiang Provincial People’s Hospital. This study included 302 female patients with ACS between January 1, 2021, and December 1, 2021. The primary outcome was new-onset HF after ACS during the 12-month follow-up period. We used a logistic regression model to evaluate the association between serum HE4 levels and the incidence of HF. Serum HE4 levels were measured at baseline (within 24 h after admission). Results: Of the 302 female patients, 70 (23.2%) developed new-onset HF within 12 months. Serum HE4 levels in patients with adverse events were significantly higher than those in patients without events (8.9 [7.3–11.5] pmol/dL versus 5.9 [5.0–6.8] pmol/dL, p < 0.001). The levels of HE4, troponin I peak, left ventricular ejection fraction (LVEF), and estimated glomerular filtration rate (eGFR) were validated as independent predictors, with HE4 being the best laboratory predictor (area under the curve, 0.863; 95% confidence interval, 0.817–0.909). Serum HE4 concentrations of >6.93 pmol/dL distinguished patients at risk of HF with 82.9% sensitivity and 78.0% specificity (maximum Youden index J, 0.609). Moreover, HE4 levels were associated with an increased risk of HF. Discussion: We found a strong relationship between HE4 and the occurrence of HF after ACS among women, which might help identify patients at high risk of HF for whom close or intense management should be mandatory.
Simultaneous network reconfiguration and capacitor allocations using a novel dingo optimization algorithm
Authors: Ayanlade Samson Oladayo , Jimoh Abdulrasaq , Ogunwole Emmanuel Idowu , Aremu Abdullahi , Jimoh Abdulsamad Bolakale , Owolabi Dolapo Eniola
Published: January 2023

Power loss and voltage magnitude fluctuations are two major issues in distribution networks that have drawn a lot of attention. Numerous strategies have been put forward to provide remedies to lessen the undesirable effects of these issues. Combining two of these approaches and dealing with them simultaneously to get more effective outcomes is essential. Therefore, this study hybridizes the network reconfiguration and capacitor allocation strategies using a novel dingo optimization algorithm (DOA) to solve the optimization problems. The optimization problems for simultaneous network reconfiguration and capacitor allocations were formulated and solved using a novel DOA. To demonstrate its effectiveness, DOA’s results were contrasted with those of the other optimization techniques. The methodology was validated on the IEEE 33-bus network and implemented in the MATLAB program. The results demonstrated that the best network reconfiguration was accomplished with switches 7, 11, 17, 27, and 34 open, and buses 8, 29, and 30 were the best places for capacitors with ideal sizes of 512, 714, and 495 kVAr, respectively. The voltage profile was significantly improved, and the power losses were significantly decreased. When compared to some of the different methods, DOA came out on top.
African vulture optimizer algorithm based vector control induction motor drive system
Authors: Mohammed Reham H. , Ismaiel Ahmed M. , Elnaghi Basem E. , Dessouki Mohamed E.
Published: January 2023

This study describes a new optimization approach for three-phase induction motor speed drive to minimize the integral square error for speed controller and improve the dynamic speed performance. The new proposed algorithm, African vulture optimizer algorithm (AVOA) optimizes internal controller parameters of a fuzzy like proportional differential (PD) speed controller. The AVOA is notable for its ease of implementation, minimal number of design parameters, high convergence speed, and low computing burden. This study compares fuzzy-like PD speed controllers optimized with AVOA to adaptive fuzzy logic speed regulators, fuzzy-like PD optimized with genetic algorithm (GA), and proportional integral (PI) speed regulators optimized with AVOA to provide speed control for an induction motor drive system. The drive system is simulated using MATLAB/Simulink and laboratory prototype is implemented using DSP-DS1104 board. The results demonstrate that the suggested fuzzy-like PD speed controller optimized with AVOA, with a speed steady state error performance of 0.5% compared to the adaptive fuzzy logic speed regulator’s 0.7%, is the optimum alternative for speed controller. The results clarify the effectiveness of the controllers based on fuzzy like PD speed controller optimized with AVOA for each performance index as it provides lower overshoot, lowers rising time, and high dynamic response.
A photovoltaic system using supercapacitor energy storage for power equilibrium and voltage stability
Authors: Prabaharan Savari R. Sahaya , Zungeru Adamu Murtala , Mtengi Bokani , Michael Siluvai M.
Published: January 2023

In a photovoltaic system, a stable voltage and of tolerable power equilibrium is needed. Hence, a dedicated analog charge controller for a storage system which controls energy flow to impose power equilibrium, and therefore, voltage stability on the load is required. We demonstrate here our successful design considerations employing supercapacitors as main energy storage as well as a buffer in a standalone photovoltaic system, incorporating a dedicated supercapacitor charge controller for the first time. Firstly, we demonstrated a photovoltaic system employing supercapacitors as main energy storage as well as a buffer in a standalone photovoltaic system. Secondly, we design a constant voltage maximum power point tracker (MPPT) for peak power extraction from the photovoltaic generator. Thirdly, we incorporated a supercapacitor charge controller for power equilibrium and voltage stability through a dedicated analog charge controller in our design, the first of its kind. Fourthly, we analyzed the use of supercapacitor storage to mitigate disequilibrium between power supply and demands, which, in turn, causes overvoltage or under voltage across the load. Lastly, we then went ahead to demonstrate the control of the energy flow in the system so as to maintain rated voltage across a variant demand load.
Two-section branch-line hybrid couplers based broadband transmit/receive switch
Authors: Abuelhaija Ashraf , Saleh Gameel
Published: January 2023

This article introduces a broadband microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging. The designed switch aims to handle a signal of multiple frequencies to/from a multi-tuned radio-frequency coil that resonates at frequencies corresponding to the speed of precession of a wide range of atomic X-nuclei, at the same time and without tuning. These include 1H, 23Na, 13C, 31P, 19F, and 7Li used in magnetic resonance spectroscopy as a measure to the existence of many diseases. The fundamental and third harmonic center frequencies of the switch are adjusted to resonate at two broadbands covering a wide range of atomic X-nuclei. Two section branch-line hybrid couplers with phase inverters are designed to build the broadband switch. The designed switch used the minimum trace widths of transmission lines that reveal a compact size without increasing the heat and then the loss beyond specific values. The couplers and the switch S-parameters exhibited good return loss (<-10 dB), high isolation (<-40 dB), less insertion loss (<1 dB) and two clear wide bands covering many atomic X-nuclei used in diagnosis, at the same time and without the need for any tuning circuit during operation.
Services interfaces for interoperability of signaling computer interlocking on borders
Authors: Ikram Abourahim , Eleuldj Mohsine , Amghar Mustapha
Published: January 2023

Technological developments in the field of railway signaling have allowed more and more flexibility in the management of rail traffic, especially with computer interlocking. However, differences in signaling principles from one country to another as well as differences in the structure of interlocking software and communication protocols depending on suppliers lead to interoperability difficulties at the borders between computer interlocking. Some deployed projects deal with interoperability issues regarding the communication of signaling information between the train and interlocking like the European rail traffic management system (ERTMS) project. Unfortunately, the interoperability between interlocking themselves is still not achieved. Some deployed projects deal with interoperability issues regarding the communication of signaling information between the train and interlocking like the ERTMS project. Unfortunately, the interoperability between interlocking themselves is still not achieved. This article draws up a proposed model for interfacing at the interlocking boundaries based on service-oriented architecture (SOA). In addition, to ensure the coupling of SOA services to the internal functions of the signaling computer interlocking, a distributed architecture of programmable logic controller according to the IEC 61499 standard is suggested.
Multimodal video abstraction into a static document using deep learning
Authors: Abdulsahib Muna Ghazi , Abdulmunim Matheel E.
Published: January 2023

Abstraction is a strategy that gives the essential points of a document in a short period of time. The video abstraction approach proposed in this research is based on multi-modal video data, which comprises both audio and visual data. Segmenting the input video into scenes and obtaining a textual and visual summary for each scene are the major video abstraction procedures to summarize the video events into a static document. To recognize the shot and scene boundary from a video sequence, a hybrid features method was employed, which improves detection shot performance by selecting strong and flexible features. The most informative keyframes from each scene are then incorporated into the visual summary. A hybrid deep learning model was used for abstractive text summarization. The BBC archive provided the testing videos, which comprised BBC Learning English and BBC News. In addition, a news summary dataset was used to train a deep model. The performance of the proposed approaches was assessed using metrics like Rouge for textual summary, which achieved a 40.49% accuracy rate. While precision, recall, and F-score used for visual summary have achieved (94.9%) accuracy, which performed better than the other methods, according to the findings of the experiments.
Corn Plant Disease Classification Based on Leaf using Residual Networks-9 Architecture
Authors: Prasetyo Tegar Arifin , Desrony Victor Lambok , Panjaitan Henny Flora , Sianipar Romauli , Pratama Yohanssen
Published: January 2023

Classification on corn plants is used to classify leaf of corn plants that are healthy and have diseases consisting of Northern Leaf Blight, Common Rust and Gray Leaf Spot. Convolutional Neural Network (CNN) is one of algorithms from the branch of deep learning that utilizes artificial neural networks to produce accurate results in classifying an image. In this study, ResNet-9 architecture implemented to build the best model CNN for classification corn plant diseases. After that we doing comparisons of epochs have been carried out to obtain the best model, including comparisons of epochs of 5, 25, 55, 75 and 100. After the epoch comparison, the highest accuracy value was obtained in the 100 epoch experiment so that in this study 100 epochs were used in model formation. The number of datasets used is 9145 data which is divided into two, there are training data (80%) and testing data (20%). In this study, three hyperparameter tuning experiments were carried out and the results of hyperparameter tuning experiments where num_workers is 4 and batch_size is 32. This classification obtained an accuracy rate of 99% and the model is implemented into a web interface.