Operating Characteristics Research Articles

Mapping Tropical Dry Forest Gradients in an Andean Region with High Environmental Variability

Tropical Dry Forest (TDF) is one of the most threatened terrestrial environments in the neotropics because of high rates of conversion to agriculture. Despite this high degree of threat, many regions lack detailed maps on the actual extent and boundaries of their TDFs, which is fundamental information for their conservation. We developed a methodological framework to map TDF at 10 m in regions where they grade into other forest types. The approach uses climate variables, altitude, soil properties, and remote sensing data (multispectral and SAR − Synthetic Aperture Radar-SAR imagery) to predict TDF in the Department of Caldas, Colombia. Accuracy of the resulting map was confirmed with field observations (Overall Accuracy = 0.88, Kappa = 0.73, Area Under the Receiver Operating Characteristics Curve = 0.87, and True Skill Statistic = 0.73). We estimated ∼ 54 km2 of TDF, which represents 9.2 % of its potential area of occurrence in the study area. TDF gradually transitions to Tropical Moist Forest (TMF) from two main low altitude river valleys to higher altitudes in the Andes Mountains. With modification, our methods could be applied for mapping TDF in other tropical regions.

Developing a risk model for early diagnosis of metabolic syndrome in Chinese adults aged 40 years and above based on BMI/HDL-C: a cross-sectional study

BackgroundThis study aimed to compare the diagnostic accuracy of four indicators, including waist-to-height ratio (WHTR), vascular adiposity index (VAI), TG/HDL-C, and BMI/HDL-C for metabolic syndrome (MS) in Chinese adults aged 40 years and above. Additionally, the study aimed to develop an efficient diagnostic model displayed by a nomogram based on individual’s BMI and circulating HDL-C level.MethodsA cross-sectional study was conducted on 699 participants aged 40 years and above. Quartiles of BMI/HDL-C, TG/HDL-C, VAI, and WHTR were used as independent variables, and metabolic syndrome was used as the dependent variable. Logistic regression was conducted to explore the impact of each parameter on the risk of MS. The areas under the receiver operating characteristics were compared to determine the accuracy of the indicators in diagnosing MS in the participants. Logistic regression was run to construct the nomograms, and the performance of the nomogram was assessed by a calibration curve.ResultsMS subjects had higher levels of BMI, BFM, PBF, VFA, AMC, WC, SCR, TG, and insulin, but lower LDH and HDL-C levels than the subjects without MS. The BMI/HDL-C ratio was positively correlated with the prevalence of MS and its components. The final diagnostic model included five variables: gender, BFM, WC, TG, and BMI/HDL-C. The model showed good calibration and discrimination power with an AUC of 0.780. The cut-off value for the nomogram was 0.623 for diagnosing MS.ConclusionsBMI/HDL-C ratio was an independent risk factor for MS in Chinese adults. BMI/HDL-C was significantly correlated with MS and its components. BMI/HDL-C was the most powerful diagnostic indicator compared to other indicators, including TG/HDL-C, VAI and WHTR for diagnosing MS. The nomogram drawn based on the diagnostic model provided a practical tool for diagnosing MS in Chinese adults.

Quantitative comparison of the operating characteristics and engine performances of typical configurations of free-piston engine linear generator

Due to their unique operating characteristics and high thermal efficiencies, free-piston engine linear generator (FPELG) has attracted research interest in recent years, thanks to the crankshaft absence. The FPELG has three typical structure configurations: single-cylinder single-piston, dual-cylinder dual-piston, and opposed-piston. These structure configurations have different benefits owing to their distinctive piston operating characteristics and engine performances. This paper analysed the piston operating characteristics and engine performances of the three typical FPELG structure configurations using a quantitative comparison method. The results revealed that the output power of the dual-cylinder dual-piston FPELG was the highest, at 3.7 kW. The opposed-piston FPELG exhibited the highest indicated thermal efficiency of 34%. In addition, the indicated power of FPELG was negatively correlated with the heat transfer area. The friction loss of each FPELG was < 5% of the overall energy consumption. Our study comprehensively analysed the various FPELG structure configurations and highlighted their advantages.

Mathematical Modeling and Indirect Carbon Emission Reduction Analysis of Urban Wastewater Treatment Systems Under Different Temperature Conditions

In the context of achieving the two-carbon target, this study utilized a wastewater treatment plant in Shenyang City as a case study to accurately calculate indirect emissions related to energy and chemical consumption within the energy-intensive wastewater treatment industry. Sumo software was employed for precise mathematical modeling. Considering the operational characteristics of wastewater treatment plants in cold regions, this study innovatively divided the annual operation cycle into two periods, namely normal temperature and low temperature, and determined the optimal operational parameters under a low-carbon mode. The results indicate that precise regulation of dissolved oxygen concentration to 0.5–1.5 mg/L (normal temperature period) and 1–2 mg/L (low temperature period) can significantly reduce carbon emissions related to electricity consumption by 13,781.9 t CO2-eq. From the perspective of chemical consumption, adjusting the dosage of polyaluminum chloride (PAC) to 75% and sodium acetate to 70% during the normal temperature period can lead to a reduction in indirect carbon emissions of 1614.4 t CO2-eq compared to the same period last year. During the low-temperature period, by reducing the dosage of polyaluminum chloride to 80% and sodium acetate to 75%, the indirect carbon emissions can be reduced by 1557.3 t CO2-eq compared to the corresponding period last year. After optimization, USD 1.49 million can be saved. This study simulated the operation conditions of cold-region urban wastewater treatment plants at different times to effectively control carbon emissions resulting from energy and chemical consumption in wastewater treatment. This result can provide innovative ideas for energy saving and carbon reduction in cold-region wastewater treatment plants.

75 Lung ultrasound severity scores and its utility in predicting success of weaning off respiratory support in neonates born preterm

Abstract Background Preterm infants often require respiratory support in the newborn intensive care unit. Complete trial off around 30-34 weeks post-menstrual age (PMA) is by trial and error based on clinical and physiological variables. Lung ultrasound (LUS) is a reliable adjunct in the diagnosis and management of most neonatal lung conditions. However, its utility in accessing readiness for successful weaning off respiratory pressure support in preterm neonates has not been explored. Objectives To determine the utility of LUS severity score (LUS-sc) in predicting successful weaning off of respiratory pressure support after 32weeks CGA in neonates born ≤32 weeks gestational age (GA). Design/Methods Prospective cohort study involving preterm neonates born ≤32 weeks needing any respiratory pressure support modes, admitted to a single tertiary care center in Canada between Sept 2022-Sept 2023. Eligible neonates were assessed by LUS at two time points- LUS1 at 30-30 + 6 weeks for those born &amp;lt;30weeks GA and between 48-72hours of life for those born at 30-32 + 6 weeks GA; LUS2 within 12hours prior to trial off respiratory pressure support to room air or low flow after 32weeks PMA. LUS were scored for disease severity by two independent reviewers using the LUS-sc by Brat et al. Receiver operator characteristics (ROC) curves analyzed the reliability of LUS-sc to predict the successful cessation of respiratory pressure support to room air or low flow post LUS2. Results Of 50 preterm neonates included in the study, 32 (64%) were successfully weaned from pressure support after LUS2 at a mean (SD) GA of 33.03 (0.29). The mean (SD) GA at birth was 28.78 (0.46) in the successful group and 27.78 (0.62) in the unsuccessful group (p=0.197). The mean (SD) LUS-sc for LUS2 at which cessation of support was possible was significantly lower from those who failed [6.95(0.33) vs 8.69(0.55), p=0.006] (Table 1). The ROC curve (Figure 1) showed AUC of 0.717 (95%CI=0.56-0.86), for a cut-off of LUS-sc of 7.75, with sensitivity of 0.75 (95%CI=0.60-0.90) and specificity of 0.61 (95%CI=0.38-0.84). Independent of GA at birth and at respiratory pressure support trial off, LUS-sc ≤8 was associated with an increased odd of cessation of support by 9.0 (95%CI=1.9-42.6), p=0.005, and each additional week of GA at first trial off increased the odds of cessation by 2.2 (95%CI=1.1-4.4), p=0.031. Conclusion LUS is a reliable tool to assess readiness for successful non-invasive respiratory pressure support trial off. A LUS-sc ≤8 was associated with higher successful weaning off of non-invasive pressure support after 32weeks GA.

Association between preoperative shock index and hypotension after spinal anesthesia for non-elective cesarean section: a prospective cohort study

BackgroundShock index (SI) is calculated as heart rate divided by systolic blood pressure. In the obstetric population, SI of ≥ 0.9 is associated with maternal adverse outcomes. Our primary aim was to investigate the association between SI and post-spinal hypotension in non-elective cesarean section.MethodsIn this prospective, observational study, term parturient of ASA physical status II, and urgency categories 2 and 3, undergoing non-elective cesarean section with spinal anesthesia were enrolled. We performed univariable and multivariable logistic regression to explore the association between baseline SI (categorized as < 0.9 and ≥ 0.9) and hypotension after spinal anesthesia. The diagnostic ability of the baseline SI to predict post-spinal hypotension was assessed using ROC (receiver operating characteristics) curves.ResultsThree hundred forty-two parturient were recruited, and among them, 335 were analyzed. One hundred fifty-five (46.27%) parturients developed post-spinal hypotension, and 114 (34.03%) reported post-delivery hypotension. Preoperative SI (adjusted odds ratio [AOR], 2.77; 95% CI, 1.15–6.66; p = 0.023) and thoracic sensory block height > 4 (AOR, 2.33; 95%CI, 1.14–4.76; p = 0.020) were associated with post-spinal hypotension. Preoperative SI (AOR, 4.34; 95%CI, 1.72–10.94; p = 0.002) and anxiety (AOR,1.22; 95%CI, 1.06–1.40; p = 0.004) were associated with post-delivery hypotension. Area under the ROC curve for SI alone in predicting hypotension before and after delivery was 0.53 (95%CI 0.49–0.57) and 0.56 (95%CI 0.51–0.60) respectively. However, the model performance as reflected by ROC curve for the multivariable logistic regression analysis was 0.623 for post-spinal hypotension and 0.679 for post-delivery hypotension, respectively.ConclusionIn parturients undergoing non-elective cesarean section, baseline SI ≥ 0.9 was associated with post-spinal and post-delivery hypotension. While the SI alone showed limited predictive power for post-spinal and post-delivery hypotension, integrating it with other risk factors improved the model's predictive ability.Trial registrationRegistration number: NCT04692870. Date of registration: 05/01/2021. Website: https://clinicaltrials.gov.

Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea

As the penetration of electric vehicles (EVs) increases, an understanding of EV operation characteristics becomes crucial in various aspects, e.g., grid stability and battery degradation. This can be achieved through analyzing large amounts of EV operation data; however, the variability in EV data according to the user complicates unified data analysis and identification of representative patterns. In this research, a framework that captures EV charging characteristics in terms of charge–discharge area is proposed using actual field data. In order to illustrate EV operation characteristics in a unified format, an individual EV operation profile is modeled by the probability distribution of the charging start and end states of charge (SoCs).Then, hierarchical clustering analysis is employed to derive representative charging profiles. Using large amounts of real-world, vehicle-specific EV data in South Korea, the analysis results reveal that EV charging characteristics in terms of the battery charge–discharge area can be summarized into seven representative profiles.

Simulation and Investigation of Si-Based Piezoelectric Micromachined Ultrasonic Transducer (PMUT) Performances

Micro-electromechanical system (MEMS) based piezoelectric ultrasonic transducers for acoustic imaging of the surroundings are known as piezoelectric micromachined ultrasonic transducers (PMUTs). This research proposes a structural design of the PMUT with four fixed-guided beams. The beam is subjected to lateral loads, with vectors that are perpendicular to the longitudinal axis. This project simulated Piezoelectric Micromachined Ultrasonic Transducer (PMUT) with three different material properties i.e. Aluminium Nitride (AlN), Lead zirconate titanate (PZT) and Zinc Oxide (ZnO). Based on the study, it was found that reducing the beam dimensions and increasing the plate size will result in the first mode frequency reduction from 1.33x107 Hz to 3.74x106 Hz. Other than that, it was found that AlN PMUT experienced the maximum deflection of 6.3413 to 6.3478 μm when the loads applied in the range of 50 to 200 μN/m2. When the piezoelectric material changed to PZT, we obtained the maximum deflections of 0.3771 to 0.3786 μm when the same loads range applied to the PMUT. As for the ZnO PMUT, the maximum deflections obtained were in between 0.1702 μm to 0.1772 μm with the loads are maintained as in the loads applied to the AlN and PZT. This study proved the significant impact of altering the structural dimensions and material properties of PMUTs on their operational characteristics, specifically the first mode frequency and deflection behavior.

Comprehensive cataloging of miR-363 as a therapeutic &amp; non-invasive biomarker of prostate cancer

Background &amp; objectives Overcoming the challenge of early diagnosis of prostate cancer (PCa) by exploring molecular biomarkers is urgently needed. With this objective, this study was designed to explore the biomarker and therapeutic potential of miRNA (miR)-363-3p in PCa pathogenesis. Methods Total participants (n=188) were enrolled, and blood and tissue samples were collected from individuals categorized into the control group (n=55), benign prostate hyperplasia (BPH) group (n=60), PCa group (n=48), and castration-resistant PCa (CRPC) group (n=25). MiR expression profiling was carried out using quantitative polymerase chain reaction (qPCR), and biomarker analysis was conducted employing receiver operating characteristics (ROC) curve. The miR-363 target genes were predicted by in silico tools like Target Scan and starBasev 2.0 and its expression was validated by qPCR and association among them was established by using the STRING database. Results The results showed that the tumour-suppressive nature of miR-363-3p in both PCa tissues and serum were significantly higher than the control with a greater area under curve (AUC) was 0.969 (sensitivity: 85%; specificity 100%) and 0.988 (sensitivity: 97.5%; specificity: 87.5%), respectively. The targetome analysis of miR-363-3p revealed five target genes-NRAS, E2F3, PTEN, MDM2, and CCNE2 which were strongly associated with cell division and proliferation. The expression analysis of the target genes showed a significant tumour-suppression of PTEN gene and significant upregulation of oncogenic genes such as NRAS, E2F3, MDM2, and CCNE2. Interpretation &amp; conclusions Collectively, the findings of this study suggest that miR-363-3p may be a potential biomarker in differentiating individuals with PCa and CRPC from healthy controls. The miR-363-3p triggers various oncogenic genes (MDM2, NRAS, E2F3, CCNE2) and tumour suppressor genes (PTEN) that are actively involved in PCa progression and development.

Study of Complexation Patterns in the System Ni2+, MoO42–, P2O74–, Cit3–for the Development of Poly-Ligand Electrolytes (Study of complexation patterns)

The complexation behavior in systems containing Ni2+, MoO42−, P2O74−, Cit3− - ions have been thoroughly investigated. The study determined the composition and instability constants of both mono- and biligand complex compounds at a constant ionic strength of the solution (Ic=1). By analyzing the concentration ratios of the complexing agent and ligands, the composition of mono- and polyligand complexes was elucidated. The complexation study utilized the potentiometric method, which is based on the functional dependence of the potential of the indicator electrode on the concentration of the complexing agent ions. The results enabled the calculation of the ionic composition of aqueous solutions of nickel complexes with citrate and diphosphate ions, depending on their concentrations. A proposed scheme for the formation of heteronuclear nickel-molybdenum complexes takes into account the sequence of component introduction into the electrolyte to form complexes of a specific composition. These findings were applied to develop electrolyte compositions for coating with alloys based on iron subgroup metals with molybdenum. These alloys exhibit several valuable properties, including corrosion resistance, electrocatalytic activity in hydrogen production, and enhanced operational characteristics.

Relationship Between White Blood Cell Count and Bacteremia Using Interval Likelihood Ratios in Hospitalized Patients.

Patients with bacteremia often have elevated white blood cell (WBC) and neutrophil counts, yet these alone are poor predictors of bacteremia. Data on the continuous relationship between WBC response and bacteremia are lacking. This study aims to characterize the relationship of WBC count, neutrophil percentage, and absolute neutrophil count (ANC) to bacteremia using interval likelihood ratios (ILRs) derived from a large sample of hospitalized patients. Retrospective cohort study in a large healthcare system from 2017 to 2018. This study included non-surgical inpatients who had at least one complete blood count (CBC) with differential up to 24hours after admission and a blood culture. Patients with immunosuppression and malignancy or who received antibiotics before negative blood cultures were excluded. Predictors were WBC count, ANC, and neutrophil percentage. The outcome was bacteremia. We compared test discrimination using the area under the receiver operating characteristics curve (AUROC). We calculated ILRs for bacteremia across test value intervals. As a practical example, we assumed a 5% pre-test probability of bacteremia and calculated the post-test probability for each interval. We compared this approach to a threshold approach using a threshold of 70% neutrophils. Of 25,776 patients with a CBC with differential and blood culture, 1160 had bacteremia. AUROC was highest for neutrophil percentage (0.74), followed by ANC (0.63) and WBC count (0.58). Probability of bacteremia increased exponentially from neutrophil percentage 80 to 100%. Odds of bacteremia varied 35-fold based on neutrophil percentage. A threshold approach with a cut-off of 70% significantly underestimated bacteremia risk at higher levels. ILRs offered a more discriminating approach to estimating the probability of bacteremia than a single threshold. Physicians assessing risk of bacteremia should pay attention to the magnitude of abnormality because very high and very low values have much stronger predictive power than dichotomized results.

Operational efficiency effect on nursing workload of tertiary hospital wards in China: A prospective observational study.

To investigate the effect of ward operational efficiency on nursing workload and identify the factors that influence nursing workload. It remains unclear how and to what extent ward operational efficiency can influence nursing workload. A prospective observational study was conducted from July 1, 2022 to June 30, 2023, in one tertiary general hospital in China. Purposive and convenience sampling was used, and 266 470 patients from 66 wards and 52 nurses from 13 wards were recruited. The relationships between operational efficiency and nursing workload and the predictors of nursing workload were analyzed. The STROBE guidelines were followed. The operational characteristics vary by the type of wards. Nursing workloads were positively correlated with case mix index (CMI), rate of level 4 surgery, the number of patients transferred in and out, the number of deaths, total bed days, and the number of emergency admissions and critical illnesses (γs: 0.35-0.56, p<0.05). And the CMI, rate of level 4 surgery, average bed occupancy rate, number of critically ill patients, and total bed days were the predictors of nursing workload (R2=57.3%, p<0.05). This study is the first to discuss the relationship between operational efficiency and nursing workload on the ward level and offers valuable insights into the nursing workload. The operational efficiency of wards affects the nursing workload and needs to be considered both in the measurement of nursing activities and in the sizing of the nursing staff. The study findings provide a full understanding of the relationship between ward operation and nurse staffing, which is helpful for nursing managers to formulate scientific nurse staffing policies.

Outcomes after revisional surgery for paraesophageal hernias at a high-volume tertiary care center.

Although recurrences after repair of giant paraesophageal hernias (PEH) are common, revisional procedures are challenging and associated with higher complication rates than primary repair. Therefore, repair of recurrent PEH is often avoided except in symptomatic patients. Data describing operative outcomes in these infrequent cases is lacking. Therefore, this study aimed to report and compare peri-operative outcomes of revisional PEH repair to similar patients undergoing primary surgery. A single-institution, retrospective cohort study was conducted on all adult patients undergoing primary repair of Type II-IV PEH and any revisional surgery for recurrent hiatal hernia after previous primary PEH repair (2012-2019). Patient and operative characteristics and post-operative outcomes were extracted from medical records. Patients were grouped into revisional (rPEH) and primary repair (pPEH). Coarsened exact matching was performed to create balanced cohorts. A total of 347 cases were identified. The matched cohort included 234 patients (rPEH: 46, pPEH: 188). Patient sex and comorbidities were well balanced, while those who underwent revisions were younger (64 ± 13 vs. 69 ± 11years; p = 0.01). Median time between primary and rPEH was 40[17-121] months. Incidence of emergency repair were similar among groups (rPEH: 9(15%), pPEH: 14(8%); p = 0.10). All revisional cases commenced laparoscopically with 7(15%) requiring conversion to open. The conversion rate was higher for rPEH than primary surgery (7(15%) vs. 3(2%); p < 0.01), with the most common reasons being adhesions and gastric fundus injury. Intra-operative complications occurred in 12(26%) revisional cases, of which 58% were gastric fundus injuries. Median length of stay was longer for rPEH than pPEH (2[1-5] vs. 1[1-2] day; p = 0.02). Incidence of severe complications (rPEH: 5(11%), pPEH: 11(6%); p = 0.23) and reoperations (rPEH: 2(4%), pPEH: 7(4%); p = 0.84) were similar between groups. There were no peri-operative deaths. In a high-volume tertiary care center, repair of recurrent giant paraesophageal hernias can be performed successfully laparoscopically in the majority of cases with acceptable morbidity and peri-operative outcomes in comparison to primary surgery.

Analysis of ultrasonic device influence on the ultrasonic thickness measurement of the steel grade

ABSTRACT Ultrasonic thickness measurement depends on the capability of the equipment and its operating characteristics, as well as on the auxiliary means used to adjust the system and analyse the obtained results. The characteristics of the ultrasonic device commonly used as a flaw detector are crucial for achieving accurate and precise results and are very important for the reliability of the results obtained in the measurement process, especially in production systems. This article aims to determine the quantitative variations in thickness caused by influencing parameters of the ultrasonic device and chosen ultrasonic probe, their quantification of interactions, and the significance of their influence on the accuracy and precision of the results. In the experimental part of the research, a factorial plan of the experiment was carried out to determine the influence of the ultrasonic device and the type of ultrasonic probe on the variability of the results of the ultrasonic thickness measurement. The parameters of the ultrasonic device and probes were analysed, and the experimental plan for developing the regression model was elaborated. The response surface methodology was applied, and the in-service measurement process was simulated using Monte Carlo simulation.

Coagulation-related genes for thyroid cancer prognosis, immune infltration, staging, and drug sensitivity

IntroductionThyroid cancer (THCA) is the most common endocrine tumor. Coagulation may be associated with the development of cancer, but its role in THCA patients is not yet clear.MethodsIn this study, we determined the predictive value of coagulation biomarker D-dimer for THCA patient lateral lymph node metastasis (LLNM) through receiver operating characteristics (ROC) analysis and logistic regression analysis. Subsequently, this study used the TCGA database to identify coagulation-related molecular subtypes through consensus clustering analysis and compared their prognosis. We identified coagulation-related genes (CRGs) associated with prognosis in thyroid cancer through gene expression data and clinical information, and constructed a prognostic model by selecting the prognostic CRGs using LASSO regression. Patients were divided into high-risk and low-risk groups based on the median score. Subsequently, prognosis, clinical characteristics, gene mutation occurrence, immune infiltration, function, and drug sensitivity of the two groups were analyzed. We also constructed a nomogram combining the model and clinical features. Finally, the expression of the prognostic CRGs was validated by RT-qPCR.ResultsD-dimers had better performance in predicting LLNM(the area under the curve was 0.656 (95% CI 0.580-0.733), with a cut-off value of 0.065 mg/l), and D-dimer&amp;gt;0.065mg/l was an independent predictor of LLNM. Then, we selected 8 prognostic CRGs to construct a predictive model. The prognosis of low-risk group patients was significantly better than that of high-risk group (P&amp;lt;0.001). The results showed significant differences in clinical characteristics, gene mutation occurrence, immune infiltration, function, and drug sensitivity between the high-risk and low-risk groups. We validated by qPCR that these 8 prognostic CRGs were overexpressed in THCA cell lines.DiscussionOverall, this study provided an in-depth exploration of the potential role of the coagulation in thyroid cancer and its clinical significance, offering a new theoretical basis and research direction for personalized therapy and prognostic evaluation.

Diagnostic Accuracy of Saliva-based Testing as a Vibrio Cholerae Surveillance Tool among naturally-infected patients.

Saliva, as a diagnostic medium, offers a promising alternative to blood by virtue of its non-invasive collection, which enhances patient compliance, especially in paediatric and geriatric populations. In this study, we assessed the utility of saliva as a non-invasive medium for measuring V. cholerae-specific serum antibodies in naturally infected individuals. We tested paired serum and saliva samples obtained from a total of 63 cholera patients enrolled in a cohort study. Vibriocidal antibodies assay (IgM/IgG) as markers for accurate determination was used to determine cholera specific antibody levels. Using receiver operating characteristics (ROC) curve, we found that the best cut-off that maximizes (sensitivity + specificity) is 10 titres. At this saliva titre, the sensitivity is 76.9% (95%CI: 60.9%, 87.7%) and specificity is 80.0% (95%CI: 56.6%, 92.5%). Using Spearman's correlation coefficient, we also found evidence of a positive correlation between Vibrio Cholerae saliva and serum antibodies (rho=0.66, p<0.001). In conclusion, saliva-based diagnostic cholera tests has high diagnostic accuracy, and would be advantageous, cheaper, and quicker for early diagnosis of severe cholera outcomes.

Enhancing Charge Trapping Performance of Hafnia Thin Films Using Sequential Plasma Atomic Layer Deposition.

We aimed to fabricate reliable memory devices using HfO2, which is gaining attention as a charge-trapping layer material for next-generation NAND flash memory. To this end, a new atomic layer deposition process using sequential remote plasma (RP) and direct plasma (DP) was designed to create charge-trapping memory devices. Subsequently, the operational characteristics of the devices were analyzed based on the thickness ratio of thin films deposited using the sequential RP and DP processes. As the thickness of the initially RP-deposited thin film increased, the memory window and retention also increased, while the interface defect density and leakage current decreased. When the thickness of the RP-deposited thin film was 7 nm, a maximum memory window of 10.1 V was achieved at an operating voltage of ±10 V, and the interface trap density (Dit) reached a minimum value of 1.0 × 1012 eV-1cm-2. Once the RP-deposited thin film reaches a certain thickness, the ion bombardment effect from DP on the substrate is expected to decrease, improving the Si/SiO2/HfO2 interface and thereby enhancing device endurance and reliability. This study confirmed that the proposed sequential RP and DP deposition processes could resolve issues related to unstable interface layers, improve device performance, and enhance process throughput.

An analytical observational study for diagnostic accuracy of volume, conductivity &amp; scatter (VCS) indices of neutrophils for diagnosis of sepsis in an emergency hospital setting

Background &amp; objectives The newer technique using an innovative volume conductivity scatter (VCS) technology is emerging as a surrogate for sepsis diagnosis. The VCS technology offers a more objective method to measure cell volume (V), characterize conductivity (C) and light scatter (S) directly from more than 8,000 white blood cells (WBCs). However, diagnostic performance of VCS parameters in sepsis has not been extensively tested in routine hospital emergency settings. Therefore, the present study aimed to investigate the diagnostic and prognostic performance of VCS markers of neutrophils in our local hospital emergency setting. Methods It was an observational analytical study with 41 cases of sepsis and 43 healthy controls aged above 18 yr. Individuals with acute coronary syndrome and individuals with already diagnosed Human Immunodeficiency Virus (HIV) infection were excluded from the study. Results The mean neutrophil volume (MNV) values were not significantly different between cases and controls (P 0.138) whereas mean neutrophil conductance (MNC) and mean neutrophil scatter (MNS) measurements were significantly higher among cases as compared to controls (both P-values &lt;0.001). According to Receiver Operating Characteristics (ROCs) curve analysis, MNV in our study failed to show statistically significant discriminatory ability in sepsis (AUC 0.54) whereas MNC (AUC 0.98) and MNS (AUC 0.95) showed marked discriminatory ability in diagnosing sepsis in this study cohort. Interpretation &amp; conclusions Among VCS parameters, MNV failed as a standalone biomarker of sepsis in routine emergency setting whereas MNC and MNS had statistically significant diagnostic and discriminatory accuracies among hospitalized affected individuals with sepsis.

Research on the Criminal Law Response to Telecom Fraud in the Digital Society

With the rapid development of the digital society, telecom fraud has increasingly exhibited characteristics of intelligence, cross-border operations, and concealment, posing serious threats to both the economy and individual interests. However, the current criminal law has many deficiencies in addressing such crimes, making it difficult to effectively curb their spread. This paper analyzes the current state and characteristics of telecom fraud and explores the shortcomings of criminal law in responding to these new forms of fraud in the digital society. It proposes measures such as enhancing the adaptability of the law, improving sentencing standards, and strengthening cross-border judicial cooperation. Furthermore, the paper emphasizes the importance of a coordinated response between technological means and the law, recommending the use of big data and artificial intelligence to improve the investigation and prevention of telecom fraud. The study suggests that only through the deep integration of legal frameworks and technology can the increasingly complex issue of telecom fraud in the digital society be effectively addressed.

Immunoregulatory role of AC007278.3 and HOTAIR long non-coding RNAs in lupus nephritis: potential biomarkers and therapeutic targets.

Long non-coding RNAs (lncRNAs) have emerged as crucial regulators in various biological processes, including immune regulation and autoimmune pathologies. However, their specific significance in modulating the cytokine network in systemic lupus erythematosus (SLE) remains largely unexplored. This study assessed the expression patterns of immune-related lncRNAs, HOTAIR, and AC007278.3, along with their related protein-coding genes, TNF-α and IL18RAP, in nephritic SLE patients. Additionally, the potential of selected genes as diagnostic biomarkers for SLE was evaluated. Blood samples were obtained from SLE patients (n = 30) and age-sex-matched healthy controls (HCs) (n = 60). Subsequently, RNA was isolated from peripheral blood mononuclear cells (PBMCs), and cDNA was synthesized to analyze the expression levels of the target genes using real-time PCR. The correlation analysis between the relative expressions of different genes was examined in both the patient and HC groups. The diagnostic potential of the lncRNAs was determined by calculating the Area Under the Curve of the Receiver Operating Characteristics (AUC of ROC), Cut-off, sensitivity, and specificity. Our results indicated a significant upregulation of lncRNAs AC007278.3 (fold change [FC] = 14.13, p-value < 0.0001) and HOTAIR (FC = 14.1, p-value < 0.0001). Correspondingly, their associated target genes, TNF-α and IL18RAP, were also overexpressed in patients (FC = 2.66 and FC = 5.18, respectively, p-value < 0.001). Notably, a strong positive correlation was observed between IL18RAP and AC007278.3 in SLE patients. Moreover, the AUC of ROC analyses underscored the diagnostic efficacy of AC007278.3 alone and combined with HOTAIR, yielding values of 0.89 and 0.86, respectively. These findings highlight the potential immunoregulatory roles of lncRNAs AC007278.3 and HOTAIR, emphasizing their significance as promising diagnostic biomarkers and potential therapeutic targets for SLE. Additionally, they provide valuable insights into the molecular mechanisms underpinning the disease's pathogenesis.