Performance Of Test Research Articles

Optimization of high-entropy alloys (HEAS) for lightweight automotive components: Design, fabrication, and performance enhancement

This paper provides a comprehensive analysis of the integration and optimization of High-Entropy Alloys (HEAs) for automotive applications, emphasizing their potential to enhance vehicle performance through superior strength-to-weight ratios, thermal stability, and corrosion resistance. Drawing on methodologies from life cycle assessments (LCAs) and insights into fuel savings achieved through lightweight design, the study explores the criteria for selecting HEAs, including composition design, thermal stability, and manufacturing compatibility. It highlights the importance of advanced Computer-Aided Design (CAD) and simulation techniques in optimizing HEA components, ensuring they meet the rigorous demands of automotive applications. The paper also examines fabrication techniques such as arc melting, casting, and additive manufacturing, alongside quality control methods like Non-Destructive Testing (NDT) and mechanical performance assessments. Through case studies of HEA-based engine, structural, and safety components, the research demonstrates significant improvements in fuel efficiency, structural integrity, and safety. The discussion extends to future research directions, focusing on cost reduction, new applications in aerospace and defense, and advancements in fabrication techniques. Finally, the paper addresses sustainability considerations, including resource efficiency, recycling, and life cycle analysis, underscoring the potential of HEAs to contribute to both performance enhancement and environmental conservation in the automotive industry.

Validation and clinical performance of a single test, DNA based endometrial cancer molecular classifier

ObjectivesWe have previously shown that DNA based, single test molecular classification by next generation sequencing (NGS) (Proactive Molecular risk classifier for Endometrial cancer (ProMisE) NGS) is highly concordant with the...

Performance and emissions of a CI engine using a diesel, jatropha biodiesel and biodiesel adopting Al2O3 nanomaterial as fuel blend.

A nanocomposites of aluminum dioxide was employed as a fuel additive in a compression engine test. Nanoparticle stability in diesel was measured by their impact on the fuel's flash point, density, and viscosity. When compared to other forms of fuel, conventional biodiesel has superior qualities. Al2O3 was also put through its paces in terms performance of engine and pollution testing. The thermal efficiency of the engine's brakes may be improved by adding nanoparticles in to the jatropha biodiesel. Using Al2O3 nanoparticles has been shown to reduce brake-specific fuel consumption by 23%. In addition, this solution can cut hydrocarbon emissions by 19%.

Evaluation of the CARBA PAcE test, a colorimetric imipenem hydrolysis test for rapid detection of carbapenemase activity.

There is an urgent need for accurate and fast diagnostic tests to identify carbapenemase-producing bacteria. Here, we evaluated a colorimetric imipenem hydrolysis test, called the CARBA PAcE test, to detect carbapenemase-producing Gram-negative bacteria (GNB). We tested a collection of 270 GNB isolates with a characterized carbapenemase content. Our testing set included 205 carbapenemase-producing, carbapenemase-resistant Enterobacterales (CP CRE) with 40 Klebsiella pneumoniae carbapenemase (KPC), 49 New Delhi metallo beta lactamase (NDM), 49 OXA-48-like, 15 Verona integron-mediated metallo-β-lactamase (VIM), three IMP, 43 IMI, six isolates producing more than one carbapenemase, and 65 non-carbapenemase-producing Enterobacterales (20 ESBL producers, 35 non-carbapenemase-producing, carbapenem-resistant [non-CP CRE], and 10 carbapenem-susceptible Enterobacterales [non-CP, non-CSE, third-generation cephalosporin and carbapenem susceptible]). We compared the performances of the CARBA PAcE test, the qualitative colorimetric β-CARBA test, and the modified CarbaNP test to a gold standard of carbapenemase gene detection by PCR. Specificities of all tests were high: 95.4% (62/65) for CARBA PAcE test, 98.5% (64/65) for β-CARBA test, and 100% (65/65) for the modified CarbaNP test. Sensitivity varied by carbapenemase: all three tests had a sensitivity of 100% for NDM, VIM, and IMP and 97.5% for KPC. Sensitivity to detect IMI was 0% for the CARBA PAcE and β-CARBA tests and 11.6% for the modified CarbaNP test. Sensitivity to detect OXA-48-like was 89.7% for the CARBA PAcE test, 87.7% for the β-CARBA test, and 14.2% for the modified CarbaNP test. Reading the results of the CARBA PAcE assay was difficult. The CARBA PAcE assay is highly sensitive for detecting NDM, VIM, IMP, and KPC, but slightly less sensitive for OXA-48-like. It does not detect IMI. It is highly specific, and its overall diagnostic accuracy is similar to that of β-CARBA. Its operational advantages are rapid turnaround time, ease of use, and long shelf life, but reading of results is subjective.IMPORTANCEWe evaluated the ability of the CARBA PAcE test to detect carbapenemases in 274 Gram-negative isolates with a known carbapenemase content. Specificity was high for all carbapenemases tested (96.9%). Sensitivity was high for KPC, NDM, VIM, and IMP (97.5-100%); but lower for OXA-48-like (89.7%). Activity of IMI could not be detected. Taken together, our results indicate that CARBA PAcE is a useful alternative in regions where NDM and KPC are predominant. The limitations of the test are difficulty in reading results and incompatibility with mSuperCARBA.

Hardware automatic test scheme and intelligent analyze application based on machine learning model

Abstract Hardware testing has always been the core of hardware development, and improving the performance and efficiency of hardware testing is very important for hardware development. Because hardware quality management is insufficient, many large hardware tools were developed using manual workshop technology in the past and could hardly be maintained. This can lead to the cancellation of the project, causing major personnel and property losses. Improving hardware quality and ensuring security are very complex problems. Hardware testing is usually conducted through manual and automatic testing, and the limitations of manual testing are increasingly obvious. So hardware automatic testing technology has attracted people’s attention in recent years. It has become an important research direction in the field hardware testing and can overcome many problems of traditional testing methods. Strict test rules, based on standards and scores, provide a fully automated test process. With the continuous improvement of network technology, the functions and scope of hardware are constantly enriched and expanded. With the acceleration of hardware updates and development, this has brought a heavy burden to the previous hardware testing work. The purpose of this article was to study the application of machine learning technology in the field of hardware automatic testing and provide an appropriate theoretical basis for optimizing testing methods. This article introduced the research methods of hardware automatic testing technology, introduced three automatic testing framework models, and summarized the application of machine learning in hardware testing. It included hardware security and reliability analysis, hardware defect prediction, and source-based research. Then, this article studied the defect prediction model and machine learning algorithm and constructed a hardware defect prediction model based on machine learning based on the theory. First, the data were preprocessed, and then, the Stacking method was used to build a comprehensive prediction model, and four prediction results evaluation indicators were established. In the experiment part, the defect prediction results of the hardware automatic test model were studied. The results showed that the hardware defect prediction model based on machine learning had higher accuracy, recall rate, F_measure and area under curve. Compared with other models, the average accuracy of the hardware defect prediction model in this article was 0.092 higher, which was more suitable for automatic hardware testing and analysis.

Review: Current Laboratory and Point-of-Care Pharyngitis Diagnostic Testing and Knowledge Gaps.

Pharyngitis is an inflammatory condition of the pharynx and/or tonsils commonly seen in both children and adults. Viruses and bacteria represent the most common encountered etiologic agents-yeast/fungi and parasites are infrequently implicated. Some of these are predominantly observed in unique populations (eg, immunocompromised or unvaccinated individuals). This manuscript (part 2 of 3) summarizes the current state of laboratory and point-of-care diagnostic testing and highlights the expanding role of nucleic acid amplification in the expedited diagnosis and management of patients with acute pharyngitis. It discusses preanalytical, analytical, and postanalytical variables that impact the performance of culture, rapid antigen, and nucleic acid amplification testing. Finally, it sets the stage for part 3, which discusses the emerging role of biomarkers in the management of individuals with acute pharyngitis.

Self-Enhanced Electrochemiluminesence of Dye-Doped Polymer Dots for Coreactant-Free Visualized Detection of Iodide Ions.

The monitoring of radioactive iodide levels is of great significance in environmental science and cancer radiotherapy. In this work, a high-throughput, radiation-resistant, and visualized electrochemiluminescence (ECL) strategy was developed for detection of iodide ions. Herein, the hydrophobic ruthenium derivative (Ru(bpy)3[B(C6F5)4]2) (bpy = bipyridyl) was doped in tertiary amine-coupled polymer dots (N-PFO Pdots) to synthesize self-enhanced Pdots (Ru@Pdots), which showed extremely high ECL intensity in absence of coreactant. Due to the efficient ECL resonance energy transfer between Ru(bpy)3[B(C6F5)4]2 and N-PFO, the Ru@Pdots exhibited 18 times higher ECL intensity compared with bare N-PFO Pdots. Besides, Ru@Pdots also showed 220-times higher ECL intensity compared with Ru(bpy)3[B(C6F5)4]2 doped coreactant-dependent Pdots (Ru@PFO Pdots). Using Ru@Pdots as ECL emitters, an ECL imaging array was designed for iodide ion detection, which exhibited a detection range of 0.8 nM-4 μM and a limit of detection of 0.1 nM. In this strategy, iodide ions were oxidized as iodide free radicals on the surface of the electrode, which could further consume the nitrogen radical of Ru@Pdots and effectively quench the ECL signal. This method also showed good specificity, radiation-resistant performance, and accuracy in actual seawater sample testing, which indicated its value in marine environmental monitoring, nuclear security, and cancer radiotherapy.

Clinician Staffing and Quality of Care in US Health Centers

Health centers are vital primary care safety nets for underserved populations, but optimal clinician staffing associated with quality care is unclear. Understanding the association of clinician staffing patterns with quality of care may inform care delivery, scope-of-practice policy, and resource allocation. To describe the association of clinician staffing models and ratios with quality-of-care metrics in health centers. This cross-sectional study of US health centers used data from the 2022 Health Resources and Services Administration Uniform Data System (UDS). Clinician staffing ratios, expressed as the fraction of full-time equivalents (FTEs) per 1000 visits of physicians, advanced practice registered nurses (APRNs), and physician associates (PAs) to total clinician FTEs at each health center. Percentage of eligible patients receiving the corresponding service or outcome for 14 individual clinical quality metrics collected by the UDS, including infant immunizations; screening for cancer, depression, tobacco use, hypertension, HIV, and glycated hemoglobin levels; weight and body mass index (BMI) assessment; and appropriate statin, aspirin, and/or antiplatelet therapy. This analysis of 791 health centers serving 16 114 842 patients (56.6% female) identified 5 clinician staffing models: balanced (similar FTEs of physicians, APRNs, and PAs; 152 [19.2%] of health centers), higher FTEs of APRNs than physicians (174 [22.0%]), higher FTEs of physicians than APRNs (160 [20.2%]), approximately equal FTEs of physicians and APRNs (263 [33.2%]), and large scale (42 [5.3%]). Adjusted linear models showed positive associations between physician FTEs per 1000 visits and cervical (β, 14.9; 95% CI, 3.1-26.7), breast (β, 15.7; 95% CI, 3.2-28.1), and colorectal (β, 18.3; 95% CI, 6.0-30.6) cancer screening. Generalized additive models showed nonlinear positive associations beginning at a physician FTE ratio of 0.45 (95% CI, 0.02-6.22) for infant vaccinations, 0.39 (95% CI, 0.05-2.21) for cervical cancer screening, 0.39 (95% CI, 0.02-1.67) for breast cancer screening, 0.47 (95% CI, 0.00-5.76) for HIV testing, and 0.70 (95% CI, 0.18-19.96) for depression in remission; APRN FTE ratio of 0.45 (95% CI, 0.17-7.46) for adult BMI assessment; and PA FTE ratio of 0.16 (95% CI, 0.11-3.88) for infant vaccinations. Staffing models were not associated with 7 of the 14 metrics analyzed. In this cross-sectional study of health centers, physician FTE ratio was associated with higher performance in cancer screening, infant vaccinations, and HIV testing; APRN FTE ratio was associated with higher performance in preventative health assessments; and PA FTE ratio was associated with higher performance in infant vaccination. These findings suggest that targeted staffing strategies may be associated with quality of care in certain domains and that tailored approaches to health center staffing based on community-specific needs are warranted.

Development and validation of machine learning models for young-onset colorectal cancer risk stratification

Incidence of young-onset colorectal cancer (YOCRC, younger than 50) has significantly increased worldwide. The performance of fecal immunochemical test in detecting YOCRC is unsatisfactory. Using routine clinical data, we aimed to develop machine learning (ML) models to identify individuals with high-risk YOCRC who require further colonoscopy. We retrospectively extracted data of 10,874 young individuals. Multiple supervised ML techniques were devised to distinguish individuals with and without CRC, classifiers were trained, internally validated and temporally validated. In internal validation cohort, Random Forest (RF) ML model demonstrated good performance with AUC of 0.859 and highest recall of 0.840. In temporal validation cohort, the RF ML model also exhibited good classification performance, achieving AUC of 0.888 and highest recall of 0.872. RF algorithm-based approach is effective and feasible in YOCRC risk stratification. This could be valuable in assessing the risk of YOCRC so that clinical management, including further colonoscopy, can be subsequently made. (Registration: This study was registered with ClinicalTrials.gov (NCT06342622) on March 15, 2024.).

Exploring the Potential of Bimetallic PtPd/C Cathode Catalysts to Enhance the Performance of PEM Fuel Cells.

Bimetallic platinum-containing catalysts are deemed promising for electrolyzers and proton-exchange membrane fuel cells (PEMFCs). A significant number of laboratory studies and commercial offers are related to PtNi/C and PtCo/C electrocatalysts. The behavior of PtPd/C catalysts has been studied much less, although palladium itself is the metal closest to platinum in its properties. Using a series of characterization methods, this paper presents a comparative study of structural characteristics of the commercial PtPd/C catalysts containing 38% wt. of precious metals and the well-known HiSpec4000 Pt/C catalyst. The electrochemical behavior of the catalysts was studied both in a three-electrode electrochemical cell and in the membrane electrode assemblies (MEAs) of hydrogen-air PEMFCs. Both PtPd/C samples demonstrated higher values of the electrochemically active surface area, as well as greater specific and mass activity in the oxygen reduction reaction in comparison with conventional Pt/C, while not being inferior to the latter in durability. The MEA based on the best of the PtPd/C catalysts also exhibited higher performance in single tests and long-term durability testing. The results of this study conducted indicate the prospects of using bimetallic PtPd/C materials for cathode catalysts in PEMFCs.

Prepivoted Augmented Dickey-Fuller Test with Bootstrap-Assisted Lag Length Selection

We investigate the application of prepivoting in conjunction with lag length selection to correct the size and power performance of the Augmented Dickey-Fuller test for a unit root. The bootstrap methodology used to perform the prepivoting is a residual based AR bootstrap that ensures that bootstrap replicate time series are created under the null irrespective of whether the originally observed series obeys the null hypothesis or not. Simulation studies wherein we examine the performance of our proposed method are given; we evaluate our method’s performance on ARMA(1,1) models with varying configurations for size and power performance. We also propose a novel data dependent lag selection technique that uses bootstrap data under the null to select an optimal lag length; the performance of our method is compared to existing lag length selection criteria.

The Utility of Multitarget Stool DNA Testing for Colorectal Cancer Screening After a Normal Colonoscopy.

Multitarget stool DNA (MT-sDNA) tests (here, Cologuard®) are currently used in average-risk patients as a primary method of screening for colorectal cancer. However, MT-sDNA testing has also been used in patients who previously underwent colonoscopy who wish to avoid repeat colonoscopy. Here, in a large primary care practice setting, our aim was to evaluate the diagnostic performance of MT-sDNA testing in patients with a previously normal colonoscopy. This retrospective cohort study included 5827 patients from 35 different primary locations in South Carolina. Patients aged 45 and above with a previously documented normal, high-quality colonoscopy prior to the MT-sDNA test date were included. High-risk patients and those with a previous negative MT-sDNA result were excluded. Of 5827 ordered MT-sDNA tests, 248 patients had a prior normal colonoscopy. The average time from initial colonoscopy to MT-sDNA testing was 7.3years. Of the 63 patients who had a positive MT-sDNA test, 41 patients (65%) completed follow-up colonoscopy and 40 patients had complete colonoscopy data. Of these 40 patients, 12 patients (30%) had advanced adenomas and none had colorectal cancer. Compared to patients without a previous colonoscopy, patients with prior colonoscopies had fewer adenomas of all types (1.6 vs 2.4) and fewer advanced adenomas (1.4 vs 2.0). Patients with a previously negative colonoscopy and subsequent positive MT-sDNA test were found to have a high rate of advanced adenomas on follow-up colonoscopy (30%). Thus, in patients with a previously negative colonoscopy, MT-sDNA testing may be a reasonable alternative screening option.

Benefits of emergency department routine blood test performance on patients whose allocated triage category is not time critical: a retrospective study

IntroductionEmergency department clinicians, and particularly nurses in triage, frequently perform routine blood tests on patients whose allocated triage category is not time critical (triage categories 3, 4 and 5 of the Australasian Triage Scale). Some observers have questioned the utility of routine blood testing in these acute healthcare settings given the cost and workload implications.MethodsA quantitative method using retrospective observational design was utilised guided by STROBE checklist. Electronic medical records of patient data collected at a quaternary Australian metropolitan hospital emergency department were reviewed.Results and discussionA total of 74,878 adult patients attended the emergency department between 1st January and 31st December 2021 and a sample of 383 were randomly allocated for this study. Of the 383 patients included, 51% were female, age ranges were 18–99 years (mean 51.6). The majority were Australasian Triage scale (ATS) triage category 3 (55%) and 62% had blood tests performed. Blood test performance was found to be associated with advancing age (p < 0.001) but not with department occupancy as determined by the national emergency department overcrowding scale (p = 0.230).ConclusionBlood testing in the emergency department in triaged non-time critical patients was found to be frequent thereby affecting nurses’ already stretched time resource. Older patients were found to be more likely to have a blood test. There is a positive correlation between blood test performance and length of stay in the emergency department.

Comparison of the sensitivity and specificity of commercial anti-dengue virus IgG tests to identify persons eligible for dengue vaccination.

The Advisory Committee on Immunization Practices (ACIP) has set forth recommendations that dengue pre-vaccination screening tests must exhibit at least 98% specificity and 75% sensitivity. Our research rigorously assesses the performance of various commercial tests against these benchmarks using well-characterized specimens from Puerto Rico. The findings from our study are particularly relevant given FDA approval and ACIP recommendation of Sanofi Pasteur's Dengvaxia vaccine, highlighting the need for accurate pre-vaccination screening tools.

Evaluation of Information Quality Using ISO/IEC 25010:2011 (Case Research: Menu Harianku Application)

This research aims to determine the product quality of the Menu Harianku application and recommendimproving the quality of the application based on the ISO/IEC 25010:2011 model with 6characteristics in product quality dimensions namely Functional Suitability, Performance Efficiency,Usability, Reliability, Security, and Portability. ISO/IEC 25010:2011 standard was chosen because ofits very suitable characteristics for measuring software quality. Starts with identifying the problem,Design quality, Testing performance quality, and making application improvement recommendations.According to technical characteristics of Functional Suitability, of 97 test cases, there were 11 failed.Performance efficiency of Mobile and Desktop devices scores 86% of the improvement criteria.Reliability Hosting is only accessible in Asian (Japan) and European locations (all) for no more than20 VUs. Security with Medium-level vulnerabilities. The portability of the application runs well on 6Desktop &amp; Mobile browsers. According to users the characteristics of Functional Suitability with apercentage of 84.1%, Performance efficiency at 84%, and Usability at 83.5%. As for the applicationrecommendations related to the results of application quality testing that can be used in improving thequality of the Menu Harianku application.

Validation of Neutrophil gelatinase-associated lipocalin (NGAL) for Diabetes-associated Acute Kidney Injury

Abstract Introduction/Objective This study aimed to evaluate the analytical and clinical performance of the BioPorto NGAL Test on the Beckman Coulter AU480 to correlate plasma neutrophil gelatinase-associated lipocalin levels (pNGAL) with clinical progression and severity of diabetes-associated acute kidney injury (AKI) with hospitalized patients at an East Central Georgia Medical Center Methods/Case Report Analytical validation of the BioPorto NGAL Test was carried out on the AU480 and was based on imprecision, limit of blank, limit of detection, functional sensitivity, carryover, and specificity. Clinical validation studies included 45 patients hospitalized between January and November 2023 with and without diabetes at risk for developing AKI. All patients’ pNGAL levels were measured at admission until 96 hours post admission. Receiver operating characteristics and likelihood ratio methods were used to determine optimal sensitivity, specificity, cutoff value, and the discriminatory power of pNGAL. Results (if a Case Study enter NA) The intra-assay and inter-assay imprecision percent relative standard deviation was between 0.8 (2.7%) and 3.7 (4.2%). The limit of blank and limit of detection of Bioporto NGAL was 2.2 ng/mL and 15.4 ng/mL, respectively. An analytical coefficient of variation of 20% corresponded to a pNGAL value of 9.9 ng/mL. The optimal cutoff value for pNGAL to predict AKI for patients with DM was 293 ng/mL, with a sensitivity of 80% and specificity of 87%; AUC: 0.85, p &amp;lt; 0.001. In a multivariate logistic regression model, pNGAL levels at 48 hours post admission were a risk factor for diabetes-associated AKI (OR 1.012, 95% CI:1.000 – 1.023; p = 0.051). Conclusion These results show that pNGAL levels at 48h are an independent risk factor for diabetes-associated AKI, and the optimal cutoff for this condition is 293 ng/mL. The optimal cutoff values for AKI for early diagnosis and risk stratification, along with its association with comorbidities, are important to improve patient outcomes and diagnosis accuracy.

Molecular Tumor Testing on Colorectal Adenocarcinoma Specimens in a Large Community-Based Healthcare System.

This study aimed to describe the adherence of National Comprehensive Cancer Network guidelines to perform genetic screening for all colorectal cancer (CRC) specimens with molecular tumor testing, eg, immunohistochemical (IHC) testing, in a large community-based healthcare setting. The study also identified trends involving characteristics of CRC, individual reporting physician, and physician location and examined the potential impact of these trends on the performance of molecular tumor testing. This was a retrospective, multi-center study using a centralized pathology database to assess molecular testing on CRC specimens. The primary endpoint was whether tumor testing of a CRC specimen was performed. Secondary endpoints included tumor location within the colon (ie, the right or left side), year of CRC diagnosis, and location of the pathologist within the Advocate Aurora Health (AAH) system. The data were collected from 2016 to 2020. A total of 2469 CRC cases, reviewed by 47 pathologists practicing in five separate hospitals, were identified within the AAH system for the selected five-year time period. IHC testing was performed in 1666 of these specimens (67.5%). There was no statistical difference between CRC sidedness and IHC testing performed (p = 0.9). There were no discernible features or trends for the ordering of IHC testing among different pathologists. Molecular tumor testing for CRC specimens in this large community-based healthcare setting was inconsistent and below the ideal adherence rate of 100%. Secondary findings offered neither explanation nor trends in likelihood to send samples for IHC testing. Education would be beneficial for pathologists and all physicians who care for patients with CRC in community-based health care settings.

RepDilPCR: a tool for automated analysis of qPCR assays by the dilution-replicate method

BackgroundThe dilution-replicate experimental design for qPCR assays is especially efficient. It is based on multiple linear regression of multiple 3-point standard curves that are derived from the experimental samples themselves and thus obviates the need for a separate standard curve produced by serial dilution of a standard. The method minimizes the total number of reactions and guarantees that Cq values are within the linear dynamic range of the dilution-replicate standard curves. However, the lack of specialized software has so far precluded the widespread use of the dilution-replicate approach.ResultsHere we present repDilPCR, the first tool that utilizes the dilution-replicate method and extends it by adding the possibility to use multiple reference genes. repDilPCR offers extensive statistical and graphical functions that can also be used with preprocessed data (relative expression values) obtained by usual assay designs and evaluation methods. repDilPCR has been designed with the philosophy to automate and speed up data analysis (typically less than a minute from Cq values to publication-ready plots), and features automatic selection and performance of appropriate statistical tests, at least in the case of one-factor experimental designs. Nevertheless, the program also allows users to export intermediate data and perform more sophisticated analyses with external statistical software, e.g. if two-way ANOVA is necessary.ConclusionsrepDilPCR is a user-friendly tool that can contribute to more efficient planning of qPCR experiments and their robust analysis. A public web server is freely accessible at https://repdilpcr.eu without registration. The program can also be used as an R script or as a locally installed Shiny app, which can be downloaded from https://github.com/deyanyosifov/repDilPCR where also the source code is available.

Harnessing the host response for precision infectious disease diagnosis.

SUMMARYDetection of the presence of infection and its etiology must be accurate and timely to facilitate appropriate antimicrobial use. Diagnostic strategies that rely solely on pathogen detection often are insufficient due to poor test characteristics, inability to differentiate colonization from infection, or protracted delay to result. Understanding the human response across different pathogens on a clinical and molecular level can provide more accurate, timely, and useful answers, especially in critical illness and diagnostic uncertainty. Improvements in understanding the human immune response including genomics, protein analysis, gene expression, and cellular morphology have led to rapid innovation of new host response-based diagnostic tests. This review describes the limitations of pathogen-focused technology and the benefits of examining the breadth of immune response to diagnose infection. It then explores biomarkers that have been studied for this purpose and scrutinizes the performance of host-based multianalyte testing. Currently cleared diagnostics and those in late-stage development are described in depth, with a focus on the purpose of testing and its utility for clinicians. Finally, it concludes by examining opportunities for further host response-derived diagnostic innovation.

Investigation of the Effects Of ACE Gene Polymorphism on Athletic Performance in Active Adult Males

Studying genes associated with exercise-related physiological systems and metabolic pathways has proven to be an effective method for identifying genetic markers associated with enhanced athletic performance. One of the extensively studied genes in genetics is "Angiotensin I-converting enzyme (ACE)" which has a significant role in regulating blood pressure, plasma volume, and the development of cardiac and skeletal muscle. The objective of this study was to determine the different results and genetic variations in the effects of ACE gene polymorphisms on the performance of the 30m sprint test and the arrowhead agility drill test in active adult males after a 6-week training program. Following the manufacturer's instructions, genomic DNA was extracted from participant mouth swab samples using the Buccalyse DNA Extraction Kit from Isohelix. The Statistical Package for the Social Sciences (SPSS) 25 application was used to perform statistical analysis on the research data. The findings indicate that 45.7% of the participants possess the I/D genotype, 31.4% possess the I/I genotype, and 22.9% possess the D/D genotype. There was no notable disparity in the performance of the arrowhead agility test and the 30 m sprint test among the different genotype groups (p&lt;0.05). Our analysis revealed a lack of association between genetic variants and the values obtained from performance measurements in the test outcomes. Due to the involvement of various genes and variables, further research is needed to improve the predictability of approaches to ACE gene variations, considering their performance-enhancing benefits.