Results Of Analysis Research Articles

Treatment of uncomplicated appendicitis during pregnancy: results of a national databank analysis

Treatment of uncomplicated appendicitis during pregnancy: results of a national databank analysis

Interleukin-35 protein inhibits osteoclastogenesis and attenuates collagen-induced arthritis in mice.

Rheumatoid arthritis (RA) is a chronic autoimmune disease. Its pathological features include synovial inflammation, bone erosion, and joint structural damage. Our previous studies have shown that interleukin (IL)-35 is involved in the pathogenesis of bone loss in RA patients. In this study, we are further evaluating the efficacy of IL-35 on collagen-induced arthritis (CIA) in the mouse model.Male DBA/1J mice (n = 10) were initially immunized, 2 μg/mouse IL-35 was injected intraperitoneally every week for 3 weeks after the establishment of the CIA model. Clinical arthritis, histopathological analysis, and three-dimensional micro-computed tomography (3D micro-CT) were determined after the mice were anesthetized on the 42th day. In vitro, RANKL/M-CSF induced mouse preosteoclasts (RAW264.7 cells line) was subjected to antiarthritis mechanism study in the presence of IL-35.The results of clinical arthritis, histopathological analysis, and 3D micro-CT, the expression of RANK/RANKL/OPG axis, inflammatory cytokines, and osteoclastogenesis-related makers demonstrated decreasing severity of synovitis and bone destruction in the ankle joints after IL-35 treatment. Furthermore, IL-35 attenuated inflammatory cytokine production and the expression of osteoclastogenesis-related makers in a mouse preosteoclasts cell line RAW264.7. The osteoclastogenesis-related makers were significantly reduced in IL-35 treated RAW264.7 cells line after blockage with the JAK/STAT1 signaling pathway. These results demonstrated that IL-35 protein could inhibits osteoclastogenesis and attenuates CIA in mice.We concluded that IL-35 can exhibit anti-osteoclastogenesis effects by reducing the expression of inflammatory cytokines and osteoclastogenesis-related makers, thus alleviating bone destruction in the ankle joint and could be a potential therapeutic target for RA.

Features of Inflammatory Syndrome in Patients with COVID-19-Associated Pneumonia and Concomitant Chronic Coronary Syndrome

Introduction. The COVID-19 coronavirus disease caused by the SARS-CoV-2 virus has become an unprecedented challenge for the healthcare system and has taken a leading position among infectious diseases due to its rapid spread and development of complications in various body systems. COVID-19 has been shown to increase the long-term risk of both ischemic and nonischemic cardiovascular diseases. This underscores the need for primary prevention through measures such as vaccination and a deeper understanding of the pathophysiology linking COVID-19 to endothelial dysfunction and systemic inflammation. Patients hospitalized for coronavirus disease often have concomitant cardiometabolic disease. Cardiovascular complications are common in these patients, emphasizing the need for ongoing research to better understand these effects. The role of integral inflammatory indices in patients with coronavirus disease in the setting of chronic coronary syndromes (CCS) is unexplored.
 Aim. To identify the features of the course of chronic coronary syndromes in patients with pneumonia caused by coronavirus infection COVID-19, as well as to assess the relationship between the level of inflammatory indices and the severity of the disease.
 Materials and methods. 124 patients with COVID-19 were enrolled upon admission to the cardiology department of the Central City Clinical Hospital in Ivano-Frankivsk, the therapeutic department of the Kolomyia Central District Hospital and the therapeutic department of the Verkhovyna Hospital, 124 patients with COVID-19-associated pneumonia were selected, including 92 patients with a history of chronic coronary syndromes (CCS), including 49 patients with a history of acute myocardial infarction, 43 patients with stable angina pectoris and 32 patients without a history of CCS.
 Results of the study. The mean age of the examined patients was (66,2±7,8) years in the CCS group and (59,9±8,9) years in the non-CCS group.Among the patients with severe course, there were 36 patients (39,1%) in the CCS group and 10 patients (31,2%) in the non-CCS group. In the CCS group, 4 patients (4,3%) died, and in the non-CCS group, 2 patients (6,2%) died. The BMI in patients with CCS was (28,3 [26,2; 30,9]) kg/m2, in the group without CCS (26,66±3,59) kg/m2 and was higher in the CCS group (p=0,03). The mean number of days from the onset of symptoms to hospitalization in the CCS group was (7 [5;7] days, in the non-CCS group (7 [5;7] days). There was significant difference in the levels of inflammatory indices in the study groups after treatment, lower levels of SIRI 1,12 [0,58; 1,98] vs. 1,71 [0,74; 3,98] (p=0,04), NLR 4,22 [2,79; 5,40] vs. 5,3 [3,8; 9,56] (p=0,03), SII 936,75 [571,30; 1263,16] vs. 1198,75 [784,0; 2627,78] (p=0,008), PLR 154,75 [115,27; 208,09] vs. [124,23; 307,83] (p=0,04), AISI 253,61 [96,18; 437,47] vs.345,28 [229,48; 1040,13] (p=0,01). In the CCS group, a significant increase in the level of the LMR index (p=0,01) and a decrease in the level of CRP/L (p<0,0001) were observed after treatment. According to the results of the ROC analysis, there is a significant prognostic value of the CRP/L marker for mortality in patients with COVID-19 pneumonia and concomitant CVD (AUC = 0,901; 95% CI 0,820 – 0,953; p<0,0001) during hospitalization. The markers NMR, SIRI, NLR, SII, PLR, AISI, dNLR, CRP/L had a significant prognostic value for mortality when observed in the dynamics.
 Conclusions. Increased levels of inflammatory indices showed a significant value in predicting hospital mortality from COVID-19 with concomitant CCS in the dynamics but had no prognostic value during hospitalization. Patients who were discharged with recovery or improvement had lower levels of inflammatory indices in the presence of concomitant CCS in the anamnesis.

A pre-defined finite time neural solver for the time-variant matrix equation [formula omitted

During the process of the general practical applications and scientific researches, time varying issues are an inescapable challenge to be tackled. In this article, a pre-defined finite-time zeroing neural networks (PDFT-ZNN) is devoted to solve the linear time-variant matrix equation (TVME) E(t)X(t)G(t)=D(t) within a finite time (FT), which contrasts with the general ZNN (G-ZNN) models with relatively long global convergence time. Moreover, the proposed PDFT-ZNN model’s convergence time could be calculated in advance by adhering to the designed system parameters; this has nothing to do with the model’s initial state. Additionally, after the convergence analysis, if the solution error is relative small, the simple and effective method is to introduce a linear item to accelerate the convergence speed, in comparison with only the power-type ZNN models. Theory-based analysis and simulation-based results further validate that, the neural state solved by the presented FT-ZNN model can reach the theory-based solution of E(t)X(t)G(t)=D(t) within the pre-defined finite time.

An Analytical Model for Nonlinear-Elastic Compliant Mechanisms with Tension-Compression Asymmetry

Abstract While nonlinear-elastic materials demonstrate potential in enhancing the performance of compliant mechanisms, their behavior still needs to be captured in a generalized mechanical model. To inform new designs and functionality of compliant mechanisms, a better understanding of nonlinear-elastic materials is necessary and, in particular, their mechanical properties that often differ in tension and compression. In the current work, a beam-based analytical model incorporating nonlinear-elastic material behavior is defined for a folding compliant mechanism geometry. Exact equations are derived capturing the nonlinear curvature profile and shift in the neutral axis due to the material asymmetry. The deflection and curvature profile are compared with finite element analysis along with stress-distribution across the beam thickness. The analytical model is shown to be a good approximation of the behavior of nonlinear-elastic materials with tension-compression asymmetry under the assumptions of the von Kármán strain theory. Through a segmentation approach, the geometries of a semicircular arc and folding compliant mechanism design are defined. The deflection of the folding compliant mechanism due to an applied tip load is then evaluated against finite element analysis and experimental results. The generalized methods presented highlight the utility of the model for designing and predicting the behavior of other compliant mechanism geometries and different nonlinear-elastic materials.

TER-CA-WGNN: Trimodel Emotion Recognition Using Cumulative Attribute-Weighted Graph Neural Network

Affective computing is a multidisciplinary field encompassing artificial intelligence, natural language processing, linguistics, computer science, and social sciences. This field aims to deepen our comprehension and capabilities by deploying inventive algorithms. This article presents a groundbreaking approach, the Cumulative Attribute-Weighted Graph Neural Network, which is innovatively designed to integrate trimodal textual, audio, and visual data from the two multimodal datasets. This method exemplifies its effectiveness in performing comprehensive multimodal sentiment analysis. Our methodology employs vocal inputs to generate speaker embeddings trimodal analysis. Using a weighted graph structure, our model facilitates the efficient integration of these diverse modalities. This approach underscores the interrelated aspects of various emotional indicators. The paper’s significant contribution is underscored by its experimental results. Our novel algorithm achieved impressive performance metrics on the CMU-MOSI dataset, with an accuracy of 94% and precision, recall, and F1-scores above 92% for Negative, Neutral, and Positive emotion categories. Similarly, on the IEMOCAP dataset, the algorithm demonstrated its robustness with an overall accuracy of 93%, where exceptionally high precision and recall were noted in the Neutral and Positive categories. These results mark a notable advancement over existing state-of-the-art models, illustrating the potential of our approach in enhancing Sentiment Recognition through the synergistic use of trimodal data. This study’s comprehensive analysis and significant results demonstrate the proposed algorithm’s effectiveness in nuanced emotional state recognition and pave the way for future advancements in affective computing, emphasizing the value of integrating multimodal data for improved accuracy and robustness.

Collaborative video production and middle school student collaboration, engagement, and interest

The purpose of this mixed methods, single-case embedded design study was to determine the influence of collaborative video production (CVP) on middle school students’ collaboration, engagement, and interest in content and the video production process. A nomological network including the four-phase interest model developed by Renninger and Hidi was designed by the researchers and served as the theoretical framework. The sample for this study consisted of a total of 285 middle school-aged participants representing grades 6, 7, and 8 over a three-year period. Analysis results of data gathered from a 21-item quantitative student questionnaire and 14 focus groups revealed the development of phases 3 and 4 individual interest in content with CVP serving as a collaborative activity for meaningfully engaging tasks.

A phase II, multicenter, open-label study of abemaciclib and letrozole in patients with estrogen receptor-positive rare ovarian cancer: ALEPRO trial

BackgroundLow-grade serous and endometrioid ovarian cancers and adult-type granulosa cell tumors are rare ovarian malignancies that show high estrogen receptor positivity. Recurrences of these subtypes of ovarian cancer are often...

Genome-Wide Identification and Drought Stress Response Pattern of the NF-Y Gene Family in Cymbidium sinense.

Cymbidium sinense, a type of orchid plant, is more drought-resistant and ornamental than other terrestrial orchids. Research has shown that many members of the NUCLEAR FACTOR Y (NF-Y) transcription factor family are responsive to plant growth, development, and abiotic stress. However, the mechanism of the NF-Y gene family's response to abiotic stress in orchids has not yet been reported. In this study, phylogenetic analysis allowed for 27 CsNF-Y genes to be identified (5 CsNF-YAs, 9 CsNF-YBs, and 13 CsNF-YC subunits), and the CsNF-Ys were homologous to those in Arabidopsis and Oryza. Protein structure analysis revealed that different subfamilies contained different motifs, but all of them contained Motif 2. Secondary and tertiary protein structure analysis indicated that the CsNF-YB and CsNF-YC subfamilies had a high content of alpha helix structures. Cis-element analysis showed that elements related to drought stress were mainly concentrated in the CsNF-YB and CsNF-YC subfamilies, with CsNF-YB3 and CsNF-YC12 having the highest content. The results of a transcriptome analysis showed that there was a trend of downregulation of almost all CsNF-Ys in leaves under drought stress, while in roots, most members of the CsNF-YB subfamily showed a trend of upregulation. Additionally, seven genes were selected for real-time reverse transcription quantitative PCR (qRT-PCR) experiments. The results were generally consistent with those of the transcriptome analysis. The regulatory roles of CsNF-YB 1, 2, and 4 were particularly evident in the roots. The findings of our study may make a great contribution to the understanding of the role of CsNF-Ys in stress-related metabolic processes.

Population genetic diversity of coho salmon (Oncorhynchus kisutch Walbaum) in the Asian part of its range based on the results of microsatellite loci analysis

Polymorphism of 10 nuclear microsatellite loci in coho salmon populations in the Asian part of the range was studied for the first time. Three genetically distinct regional stock complexes were identified: Kamchatka, northern part of the Sea of Okhotsk and Sakhalin. It was shown that all populations, regardless of their geographic location, are characterized by a high level of genetic polymorphism.

Characterization of the complete mitochondrial genome of Paecilomyces variotii and comparative evolutionary mitochondriomics of 36 fungi.

Paecilomyces variotii has important economic value in stimulating crop growth, biodegradation, and other aspects. Up to now, there are no research reports on its mitochondrial genome. The mitochondrial genome of Paecilomyces variotii was determined with the next-generation sequencing method (Illumina, NovaSeq), and its characteristics were analyzed using various bioinformatics approaches. The length of complete mitochondrial genome sequence of P. variotii is 40,965bp and consists of 14 protein-coding genes, 2 ribosomal RNA genes, 1 ribosomal protein S3 gene, 26 transport RNA genes. The results of phylogenetics analysis using Bayesian inference and Maximum likelihood methods showed that P. variotii belongs to the Eurotiales order in the Thermoascaceae family, and 9 genera within the Eurotiomycetes class were effectively distinguished with high support rates (bootstrap value > 92% and posterior probabilities > 99%). The analysis of synonymous substitution rates and nonsynonymous substitution rates indicated that the Ka/Ks values of the 14 PCGs in the mitochondrial genomes of the two orders in the Eurotiomycetes class ranged from 0 to 0.4333. This study revealed the structural and sequence information characteristics of the mitochondrial genome of P. variotii, and the phylogenetic results strongly support its classification within the family Thermoascaceae, consistent with traditional morphological taxonomy studies. The 14 PCGs in the mitochondrial genomes of the two orders in the Eurotiomycetes class are subject to strong purifying (negative) selection. The results of this research provides an important molecular basis for the development of genomics, evolutionary genetics and molecular markers of P. variotii in the future.

CA9, CYFIP2 and LGALS3BP-A Novel Biomarker Panel to Aid Prognostication in Glioma.

Brain cancer is a devastating and life-changing disease. Biomarkers are becoming increasingly important in addressing clinical issues, including in monitoring tumour progression and assessing survival and treatment response. The goal of this study was to identify prognostic biomarkers associated with glioma progression. Discovery proteomic analysis was performed on a small cohort of astrocytomas that were diagnosed as low-grade and recurred at a higher grade. Six proteins were chosen to be validated further in a larger cohort. Three proteins, CA9, CYFIP2, and LGALS3BP, were found to be associated with glioma progression and, in univariate analysis, could be used as prognostic markers. However, according to the results of multivariate analysis, these did not remain significant. These three proteins were then combined into a three-protein panel. This panel had a specificity and sensitivity of 0.7459 for distinguishing between long and short survival. In silico data confirmed the prognostic significance of this panel.

ANALISIS EFEKTIFITAS DIMENSI KEPEMIMPINAN (Studi Kasus pada RSUD Prof. dr. Soekandar Mojokerto)

Success in the management of District Hospital of Prof. dr. Soekandar Mojokerto closely related to leadership effectiveness at the managerial level. Measurement of the effectiveness of leadership that has been applied by a manager can be judged from the point of view of the perception of employees, so that it can be seen the gap between perception and expectation of the employees. This study aims to perceive and identify the expectations of leadership based on appraisals, as well as analyzing the things that become priorities for improving leadership effectiveness based on gap analysis.
 Measurement of leadership effectiveness used three dimensions such as; relationship of innate leadership, task structure, position power of the leader. Research is a descriptive survey using a method stratified random sampling. Numbers of samples were 126 employees who occupy positions in hospital management at District Hospital of Prof. dr. Soekandar Mojokerto.
 The results showed that the assessment of employees on the effectiveness of leadership in District Hospital of Prof. dr. Soekandar Mojokerto had been viewed that it did not in line with expectations at both the head of departement, head of section, coordinators and staff space. While the results of the gap analysis showed that there was a lack of appreciation of the employees,because of less rewarding high to performing employees, achieving promotion to employees and find it was fairless in giving punishment to the employees.
 To improve the effectiveness of leadership in District Hospital of Prof. dr. Soekandar Mojokerto need step of improvement priorities such as the development of a vision and mission hospitals, tariffs improvement, strengthen partnerships, develop human resources and public services.

The trends and hotspots of research on non-pharmacological interventions for labor pain management: a bibliometric analysis

Introduction This study aimed to examine important points of focus, trends, and depth of research on non-pharmacological interventions for the management of labor pain worldwide from a macro perspective and present an extensive definition of research fields regarding non-pharmacological interventions. Methods Bibliometric methods were used in this study. With comprehensive keyword lists, the Web of Science and PubMed databases were searched using different screening strategies for publications made until 25 February 2023. Results Studies on non-pharmacological interventions in the management of labor pain have continued to develop since 2003 with great momentum. In this study, the most productive country in research on non-pharmacological interventions was found to be Iran, while Australia, the USA, China, and the United Kingdom were the most notable ones in terms of collaboration. The most prevalently studied non-pharmacological interventions were hydrotherapy and acupuncture. The results of the co-word analysis revealed 5 main themes about this field of research. Conclusion The results of this study showed that interest in studies on non-pharmacological interventions in the management of labor pain has increased, the quality of research in the field is high, international collaboration is increasingly higher, and technological approaches have started to emerge in relevant studies.

A Three-Phase Multilevel Inverter Synthesized with 31 Levels and Optimal Gating Angles Based on the GA and GWO to Supply a Three-Phase Induction Motor

A three-phase multilevel inverter (MLI), synthesized with 31 levels in regard to its output voltage, is used to provide the AC supply to a three-phase, squirrel cage induction motor. The gating angles required for the 30 power switches on the MLI are optimized using both the genetic algorithm (GA) and the grey wolf optimizer (GWO), in which the optimal angles are determined through solving the trigonometric equations taken from Fourier analysis to target the minimum total harmonic distortion (THD) at the MLI output. A simulation model and an experimental prototype are developed for performance analysis and validation. The results demonstrate that the MLI is effectively able to produce 31 levels of three-phase AC output voltage, with the THD not exceeding 5% when loaded with a resistive load and a three-phase induction motor. The voltage and current are measured and recorded for different loads and operating conditions, including the amount of energy consumed by the load. The results of the frequency analysis demonstrate that most of the triple harmonics, which can harm the efficiency of the inverter, are cancelled.

The Sense of Certainty and the Access to Inner Experience: A Qualitative Investigation

Questions about private experiences such as future-related thinking or anger rumination are standard repertoire in many types of psychological research. Evaluating the quality and reliability of participant reports in response to such questions is, however, a complex endeavor—especially for third-person research where observer and observed are distributed across two different individuals and disparate scales of reference may hence challenge the interpretation of findings. Reliable tools to assess an individual’s actual experience are thus needed. In the present article, we conceptually specified and empirically explored the sense of certainty as a vehicle to assess participant’s access to their experience. We conducted semi-structured interviews with 20 participants performing mathematical calculation, imagination, and memory tasks and cross-validated the qualitative reports with their certainty ratings. The results of the Thematic Analysis revealed affective, cognitive, somatic, and rudimentary behavioral dimensions of the sense of certainty. The qualitative data provide the basis for a sense of certainty scale that we argue can assess the sense of certainty as an internal criterion for access to inner experience in a more differentiated manner than standard rating tasks.

Design and Evaluation of Aerospike Nozzles for an Upper-Stage Application

Aerospike nozzles are often studied because of their intrinsic self-adaptation behavior to the atmospheric pressure. Another unique feature of aerospike nozzles is their mass- and volume-efficient integration with the underlying vehicle. This latter aspect, if fully exploited, could be of interest for both lower stages operating in the atmosphere and for upper stages operating in vacuum. In this paper, a numerical analysis is carried out of the possible advantages of using an aerospike engine under specific volume constraints of a reference upper-stage configuration, discussing basic aspects of aerospike and internal expansion design, clustering, and plug truncation length. The results of the present preliminary analysis show the extent of possible performance advantages of aerospikes in terms of the specific impulse delivered for a given available volume for the nozzle with respect to a conventional bell configuration.

Multichannel multiscale increment entropy and its application in roller bearing fault diagnosis

As a new index to measure the complexity of time series, increment entropy, which takes into account the fluctuation directions and amplitude of time series, has better performance than the traditional entropy analysis methods such as sample entropy and permutation entropy. However, the increment entropy value of time series at single scale cannot completely reflect the dynamic change of time series. In this paper, the multichannel multiscale increment entropy (MMIE) is proposed by introducing the coarse-graining and multichannel analysis tools of time series to explore the complexity of multichannel time series over multiple different scales. MMIE considers the dynamic relationships between multichannel data and the relevant cross-channel variations that are often overlooked in single-channel analysis, thus achieving a full utilization of state information. Finally, an MMIE-based fault diagnosis method is proposed for roller bearing. The analysis results of the simulation signals and the measured data of roller bearings indicate that MMIE performs better than MMDE, MMPE, and MMSE approaches in time costing and fault identification rates.

A Novel Molecularly Imprinted Quartz Crystal Microbalance Sensor Based on Erbium Molybdate Incorporating Sulfur-Doped Graphitic Carbon Nitride for Dimethoate Determination in Apple Juice Samples.

Dimethoate (DIM) as an organophosphorus pesticide is widely utilized especially in the cultivation of vegetables and fruits due to its killing effect on harmful insects. However, unconscious use of DIM in large amounts can also cause serious health problems. For these reasons, rapid and reliable detection of DIM from food samples is significant. In this study, a novel quartz crystal microbalance (QCM) sensor based on erbium molybdate incorporating sulfur-doped graphitic carbon nitride (EM/S-g-C3N4) and a molecularly imprinting polymer (MIP) was designed for DIM detection in apple juice samples. Firstly, an EM/S-g-C3N4 nanocomposite with high purity was prepared under hydrothermal conditions at high temperatures over a long period of time. After the modification of the EM/S-g-C3N4 nanocomposite on a QCM chip, the polymerization solution including N,N'-azobisisobutyronitrile (AIBN) as an initiator, ethylene glycol dimethacrylate (EGDMA) as a cross-linker, methacryloylamidoglutamic acid (MAGA) as a monomer, and DIM as an analyte was prepared. Then, the polymerization solution was dropped on an EM/S-g-C3N4 nanocomposite modified QCM chip and an ultraviolet polymerization process was applied for the formation of the DIM-imprinted polymers on the EM/S-g-C3N4 nanocomposite modified QCM chip. After the polymerization treatment, some characterization studies, including electrochemical, microscopic, and spectroscopic methods, were performed to illuminate the surface properties of the nanocomposite and the prepared QCM sensor. The values of the limit of quantification (LOQ) and the detection limit (LOD) of the prepared QCM sensor were as 1.0 × 10-9 M and 3.3 × 10-10 M, respectively. In addition, high selectivity, stability, reproducibility, and repeatability of the developed sensor was observed, providing highly reliable analysis results. Finally, thanks to the prepared sensor, it may be possible to detect pesticides from different food and environmental samples in the future.

The Association of Age, Parity, and History of Cesarean Section with the Occurrence of Placenta Accreta Spectrum (Pas) at H. Adam Malik Hospital in Medan 2020-2022

Background: Maternal mortality rate (MMR) is an indicator of the quality of midwifery services in a country. Postpartum hemorrhage is a serious life-threatening complication and the main cause of maternal death especially that caused by placenta accreta spectrum (PAS). This study aims to determine the relationship between age, parity, and history of cesarean section on the incidence of PAS at H. Adam Malik Hospital Medan in 2020-2022.Method: This study was an analytic-observational study with a cross-sectional design. The data used came from the medical records, including information about the population of mothers who gave birth, maternal age at delivery, parity, and previous history of cesarean section. Statistical analysis used univariate and bivariate chi-square tests.Result: The study subjects were 84 people selected by simple random sampling method. The results of the univariate analysis showed the highest frequency of age >32 years, parity 3-4 times, and a history of cesarean section ≥ 2. The results of bivariate analysis showed a significant relationship between age and the incidence of PAS (p=0.016), parity and the incidence of PAS (p<0.001), and a history of cesarean section and the incidence of PAS (p=0.004).Conclusion: There is a relationship between age, parity, and history of cesarean section with the incidence of PAS at H. Adam Malik Hospital Medan in 2020-2022.