Compatibility Analysis Research Articles

Analisis Kinerja Anggaran Belanja Pada PTN BLU X Tahun Anggaran 2021-2023

In managing the budget, it is crucial to conduct budget performance measurement or analysis, which involves assessing and measuring the implementation or realization of the budget. This study presents an original analysis of PTN X, a State University with BLU (Public Service Agency) status under the Ministry of Education, Culture, Research, and Technology. The BLU status provides flexibility in budget management. Therefore, the purpose of this research is to analyze the budget performance of PTN X as a basis for evaluation to improve quality. In this study, the authors use a descriptive quantitative method, with the research object being the budget performance of PTN X from 2021 to 2023. The data analysis techniques employed include several expenditure analysis calculations, namely 1) Variance Analysis, 2) Growth Analysis, 3) Compatibility Analysis, and 4) Efficiency Analysis. The Financial Expenditure Performance of PTN X, as seen from the Variance Analysis, falls into the good category or Favourable Variance. From the Growth Analysis perspective, there was no expenditure growth observed in 2022; however, there was expenditure growth in 2023. The Compatibility Analysis revealed an imbalance between operational and capital expenditures in 2021. In contrast, in 2022 and 2023, the balance between operational and capital expenditures can be considered stable. From the Expenditure Efficiency Analysis, it was found that the budget management of PTN X was inefficient during the years 2021-2023.

Determination of the Satisfaction Level of the Local People Benefiting from Murat River Rehabilitation Project (Bingöl, Elâzığ, and Muş Microcatchment Sample)

This research was conducted to determine the satisfaction level of the local people benefiting from the projects implemented in the microcatchments of Bingol, Elâzığ and Muş provinces. The primary data of the survey are the focus group interviews (FG) and key informative interviews (KI) conducted in the selected villages between the fdates 16-25 August 2021. According to the research results, the participants are generally satisfied with the project activities and that 62.2% of the local people have participated in the project activities during the past year. The results of the compatibility analysis show that the project had a positive impact on finding a job or improving working conditions among the locals with higher and equal incomes, while it had a negative impact among the locals with lower incomes. The impact of the project on improving employment or working conditions was positive for ranchers and those who farmed land for sale. Those who farm land for subsistence, not grow high-value crops, and cannot increase productivity indicated that the project had a negative impact on finding a job or improving working conditions. The impact of the project on finding jobs or improving the working conditions of the middle class living in Bingol and Elazığ was positive. The impact of the project on the poor local people in Muş on finding a job or improving their working conditions was negative. Within the framework of all information, it has been concluded that the project is an important source of development for the region and that this level of progress will emerge more clearly in the coming years.

Compatibility analysis of waste polymer recycling in asphalt binder using molecular descriptor and graph neural network

Recycling of waste polymers for valuable use is important for circular economy and environmental sustainability. This study introduces a novel approach to evaluating the compatibility between waste polymers and asphalt binders using advanced molecular representation models. The solubility parameters of waste polymers were predicted using traditional machine learning (ML) models and geometry-enhanced graph neural network (GeoGNN), respectively. The compatibility index was then calculated based on the absolute difference between the solubility parameters of polymers and asphalt. Results indicate that GeoGNN outperforms traditional ML and other GNN models due to its superior ability to capture complex spatial structures. The study also identifies key molecular descriptors that significantly influence solubility parameters of waste polymers. Given the variability in asphalt binder composition, the most compatible waste polymers differ across binders, making the data-driven approach especially valuable. The GeoGNN model greatly enhances the ability to assess compatibility in the polymer-asphalt system. This complements experimental techniques by integrating geometric information to analyze molecular features uncovering the structure-property relationship of material.

Molecular epidemiology and vaccine compatibility analysis of seasonal influenza A viruses in the context of COVID-19 epidemic in Wuhan, China.

The COVID-19 pandemic had a significant impact on the global influenza vaccination and the epidemics of seasonal influenza. To further explore the molecular epidemiology of influenza viruses and assess vaccine effectiveness, we collected influenza cases in Wuhan during the 2022-2023 influenza season. Among 1312 clinical samples, 312 samples tested positive for influenza viruses using reverse transcription polymerase chain reaction. These positive samples included 146A/H1N1 subtypes (46.8%), 164A/H3N2 subtypes (52.6%) and 2 influenza B virus types (0.6%). Based on the whole genome sequence information of hemagglutinin (HA) and neuraminidase (NA) from 27A/H1N1 influenza virus strains and 26A/H3N2 influenza virus strains obtained in this study, a phylogenetic analysis was conducted. The analysis revealed that all A/H1N1 strains belonged to the evolutionary branch 6B.1A.5a.2a, and they exhibited specific substitutions at positions K71Q, Q206E, E241A, and R276K. Similarly, all A/H3N2 strains were classified into the 3C.2a1b.2a.1a subclade and displayed amino acid substitutions at positions S172H, N175Y, I176T, K187N, and S214P. Notably, the A/H3N2 strains also acquired a new potential glycosylation site at position N174. Using an epitope model, the predicted vaccine effectiveness was assessed for the A/H1N1 and A/H3N2 strains. The predicted vaccine effectiveness against the Wuhan influenza epidemic strain was over 85% for the A/H1N1 vaccine strain. However, the effectiveness against the A/H3N2 vaccine strain was only 48.7%. To further verify the protection of influenza vaccine against circulating influenza viruses in the region, we conducted in vivo and in vitro animal studies. The results of in vitro neutralization experiment showed that rabbit serum antibodies inoculated with quadrivalent isolated influenza vaccine had neutralization ability against all 24 isolated influenza viruses. In vivo experiments showed that vaccinated mice had fewer lung lesions when infected with the influenza strain circulating in Wuhan, suggesting that vaccination can effectively reduce the occurrence of severe lung damage. These findings emphasize the importance of accurately predicting seasonal influenza strains for effective influenza prevention and control, especially during the co-circulation of SARS-CoV-2 and influenza viruses. This study provides valuable information on the seasonal influenza virus in Wuhan during the COVID-19 pandemic and serves as a basis for vaccine prediction and updates.

Assessing Business Viability for a Production Joint Venture in the Indonesian Medical Device Industry

Research Aims: This study examines the viability of a joint venture between Daenamic Health Inc., a South Korean medical device manufacturer, and PT. Kenari Jaya Perkasa, an Indonesian medical device importer, to establish a local production facility for high-end medical devices in Indonesia. Design/methodology/approach: The research follows a structured approach involving the analysis of business model compatibility, external market dynamics, and the financial and operational viability of the joint venture. Employing qualitative analysis from discussions, VRIO Framework, and quantitative analysis from Analytic Hierarchy Process (AHP), the study evaluates market conditions and strategic fit between the partners. Research Findings: Findings indicate that Daenamic Health Inc. and PT. Kenari possess complementary strengths, forming a synergistic partnership poised to become a leading local brand for high end medical technology, as well as enabling access to more export market. Motivated by the need to reduce Indonesia's dependency on import, especially highlighted during the COVID-19 pandemic, this venture aligns with government policies to enhance local manufacturing and healthcare infrastructure. However, challenges such as navigating regulatory landscapes, managing a layered cost structure, and training local human capital must be addressed. Theoretical Contribution/Originality: Preliminary assessment for the joint venture’s establishment helps the partners to comprehensively assess their internal situation both as individual business and as future partners, prior to capitalizing the opportunity that comes with Indonesia’s vision towards healthcare self-sufficiency. As a result, partners’ synergistic strengths and aligned individual business needs positions the venture for competitive pricing and expansion in Southeast Asia and beyond. Keywords: Medical Devices; Joint Venture; Local Manufacturing; Market Dynamics; Strategic Fit

Electromagnetic compatibility study of acoustoelectric logging detector

Abstract The acoustoelectric effect logging detector can achieve downhole acoustoelectric effect measurement, but the excitation of the acoustic transducer can generate significant electromagnetic interference (EMI) signals, it is difficult to effectively measure weak converted signals of acoustoelectric effect underground. The EMI problem of acoustoelectric effect logging detectors can be solved by studying EMI characteristics. Based on the analysis of the structure, measurement function, and measured interference signals of the receiving electrodes of the detector, the EMI sources, coupling paths, and sensitive components in the detector were studied. The basic process of EMI generated by high-voltage pulse excitation source of acoustic transducer is analysed, and two electromagnetic coupling interference analysis models for detectors, namely conductive coupling and borehole electromagnetic coupling, are established. This study can provide a fundamental method and reference for electromagnetic compatibility analysis of acoustoelectric effect logging detectors.

The Viability of Emerging Public and Private Generic Drug Infrastructure in India: An in-vitro Case Study Using Statins as Model Drug

The healthcare system has been fundamentally altered by the introduction of generic medications, and their market share continues to rise because these are genuine, dependable, secure, affordable, and accessible to all the needy and poor in society. In this regard, the generic drug industry, which strives for authenticity, affordability, and accessibility, plays a significant role. Using HMG CoA reductase inhibitors (Atorvastatin and Rosuvastatin) as model drugs, the study aimed to determine the viability of the emerging public and private generic drug infrastructure in India, which included Janaushadhi, Dava India, and other assorted companies. The organoleptic properties and official and non-official quality control tests were evaluated. According to the in-vitro dissolution profiles, the Mankind brand of atorvastatin has shown the highest dissolution profile (75.29%), and the Dava India brand of rosuvastatin has the maximum drug release (97.26%) in one hour release. The Peppas model best explained the drug release model, which inferred the release profile to be diffusion-specific. The compatibility analysis of the tablet formulation has been shown through FTIR studies. These results concluded that public generic drugs are as effective as private generic drugs, and patients can easily take the cost-effective brand of medication.

Experiment and Analysis of Compatibility between New Phase Change Mixed Molten Salt and 316L Stainless Steel

Experiment and Analysis of Compatibility between New Phase Change Mixed Molten Salt and 316L Stainless Steel

Secondary Metabolites of Halobacillus sp.: Antimicrobial and Antioxidant Activity, Biological Compatibility, and Gas Chromatography-Mass Spectrometry (GC-MS) Analysis.

Background The rise of infectious diseases and the emergence of resistant pathogens pose significant challenges to human health. In response to this global threat, researchers are exploring novel sources of bioactive compounds for effective antimicrobial therapies. One avenue of investigation is the study of halophilic bacteria and their secondary metabolites. These bacteria thrive under extreme conditions and produce valuable bioactive metabolites, which have the potential for therapeutic applications. Methods In this study, the potent bacterial cultures obtained from the Payanur salt pan, Tamil Nadu, were analyzed for the antimicrobial activity of their metabolites. The secondary metabolites were obtained from the halophilic bacteria by culturing the bacteria in 8% NaCl. The resultant secondary metabolites produced were extracted using ethyl acetate and their antimicrobial property was studied using the well diffusion method. The minimum inhibitory concentration (MIC) of these metabolites against five clinical pathogens, namely, Staphylococcus aureus, Escherichia coli, Enterococcus faecalis, Pseudomonas aeruginosa, and Candida albicans was determined. Their antioxidant property was studied using the DPPH(2,2-diphenyl-1-picrylhydrazyl) method and biological compatibility was determined by hemolytic assay of the secondary metabolites. Results The potent halophilic bacteria isolated from salt pan bacteria were phenotypically and genotypically identified as Halobacillus sp.The secondary metabolites extracted from these bacteria yielded 110 mg of crude metabolites. The antimicrobial activity of crude metabolites shows a moderate zone of inhibition of 14 mm for P. aeruginosa, 13 mm for E. coli and C. albicans, and 11 mm for S. aureus. The minimum inhibitory concentration was 128 µg/mL for E. coli, P. aeruginosa, and C. albicans,which was found to bethe best growth inhibition concentration. The DPPH scavenging activity shows a higher activity till the concentration of 64 µg/mL.The hemolytic activity of 25% is obtained at 128 µg/mLand below 64µg/mL, there is no hemolytic activity. The gas chromatography-mass spectrometry (GC-MS) analysis of the secondary metabolites shows the presence of 17 compounds. Among them, there were fourmajor compounds: (i) cyclo(L-prolyl-L-valine) (probability of 95.63%), (ii) pyrrolo[1,2-a]pyrazine- 1,4-dione,hexahydro-3-(2-methylpropl) (probability of 94.45%), (iii) 2,5-piperazinedione,3,6-bis(2-methylpropyl)(probability of 71.94%) and (iv) pyrrolo[1,2-a]pyrazine-1,4-dione,hexahydro-3-(phenylmethyl)(probability of 88.01%). Conclusion In conclusion, the isolated bacterium is confirmed to be Halobacillus sp.and the secondary metabolites produced by this bacterium could be the potential source for the development of novel antimicrobial and antioxidant compounds that are highly biologically compatible. Further research mayhelpto developnovel compounds in the pharmaceutical industry.

Compatibility Analysis of Frequency Containment Reserve and Load Frequency Control Functions

The study focuses on investigating the behavior of Electric Power Systems (EPS) during desynchronization from a synchronous area, its stability in island mode operation, and its synchronization with Continental Europe (CE). The primary aim is to ensure and maintain the stability and reliable operation of self–operating individual EPSs by analyzing the technical requirements and prequalification procedures for Frequency Containment Reserves (FCR) and Load Frequency Control (LFC) reserves. The study employed numerical simulations to analyze the behavior of isolated EPSs after losing a certain amount of active power, to ensure reliable operation and avoid the effects of Under Frequency Load Shedding (UFLS). It examined the technical requirements for LFC reserve units, such as the ability to remain connected to the network during disturbances and provide necessary support. The research investigated the procedures for prequalifying reserve units to provide FCR and LFC services. This investigation contributes to ensuring that EPSs operate reliably during desynchronization and that reserve providers meet the necessary technical and operational standards.

Evaluation of genetic diversity using simple sequence repeat markers and analysis of cross compatibility in hydrangeas

AbstractHydrangeas with large inflorescences are widely used as cut flowers and in floral arrangements. However, the genetic diversity of commercially grown hydrangeas has been limited owing to the breeding focus on popular species. Therefore, this study was conducted to suggest interspecific breeding strategies for expanding the genetic diversity in Hydrangea L. by evaluating genetic diversity in the seven main species collected in Korea and analyzing cross compatibility via intra- and interspecific hybridization. Interspecific diversity evaluation using simple sequence repeat markers resulted in the segregation of 35 varieties accounting for seven species into five groups as follows: (1) Hydrangea paniculate group, (2) Hydrangea arborescnes group, (3) Hydrangea anomala and Hydrangea aspera group, (4) Hydrangea quercifolia group, and (5) Hydrangea macrophylla and Hydrangea serrata group. Cross compatibility was confirmed via intra- and interspecific crossing, and hybrids were obtained in 18 crossing combinations. Intraspecific hybrids tend to be easy to obtain, but interspecific hybrids are difficult to obtain due to a variety of factors. While most of the interspecific hybrids were obtained using ovule culture, the crossing between H. macrophylla and H. serrata created hybrids from seed sowing, indicating that H. serrata is a subspecies of H. macrophylla. Bilateral and unilateral incompatibilities were observed across the obtained hybrids. Particularly, weak bilateral compatibility was observed between H. serrata and H.paniculata. Accordingly, it was proposed that hybrids between H. macrophylla and H. serrata can be successfully used as parental materials in crossing with H. paniculata to improve cold tolerance. In addition, cross compatibility was improved in interspecific crossing using H. macrophylla and H. arborescens as maternal plants. It is anticipated that these finding will help improve the genetic diversity in commercial hydrangeas.

ANALISIS EFEKTIVITAS KINERJA KEUANGAN DALAM PENGELOLAAN ANGGARAN PEMERINTAH DAN BELANJA DAERAH PADA KOTA SURABAYA

This study aims to determine the effectiveness of the financial management performance of the Surabaya City Government for the 2015-2019 period. This study uses a quantitative descriptive method using an analysis of the effectiveness of regional financial performance, analysis of regional financial independence and analysis of compatibility (operational expenditure and capital expenditure). Using secondary data, the data processed is the Summary of Regional Revenue and Expenditure Budgets for the 2015-2019 Fiscal Year. The Regional Financial Independence of the Surabaya City Government has reached a very good level, which shows a pattern of delegative relations, which means that the intervention of the Central Government is no longer there because the regions are completely independent in implementing regional autonomy. The level of effectiveness of the Surabaya city government's financial management is fairly effective because from 2015 -2019 the effectiveness of the Surabaya city government's financial performance has always reached the target which is effective. However, the compatibility of the Surabaya government's financial performance has not been balanced. According to the description and calculations above, most of the funds owned by the Surabaya City Government are still prioritized for operational expenditure needs so that the capital expenditure ratio is relatively small.

FORMULATION AND EVALUATION OF NIOSOMAL GEL CONTAINING ACYCLOVIR BY USING DESIGN OF EXPERIMENTS

The current study aims to design, optimize, and assess the niosomal gel containing acyclovir for topical application. Compatibility analysis was carried out to assess potential interactions, using techniques such as FT-IR spectroscopy and DSC thermal analysis. The niosomal suspension was created, optimized, and assessed using a 32 - factorial design. The overlay plot indicates that the F3 formulation was optimized with a 300:20 tween 80 and cholesterol ratio. The improved niosomal solution has been introduced into a gel made of carbopol and thoroughly analyzed for pH, viscosity, spreadability, and in vitro drug release characteristics. The study results demonstrated that the niosomal gel formulation exhibited a sustained release of acyclovir over a 24-hour period. The drug release data was assessed, and the findings unveiled that the medication release from the gel formulation complies with Korsmeyer peppas model. The optimized formulation's stability was demonstrated at various temperatures. The present investigation suggested that the niosome gel formulation (F3) could be a promising vesicular approach for effectively administering acyclovir via topical application.

Compatibility Analysis of Metolachlor and Pendimethalin for Weed Control in Arabica Coffee Plants

Losses caused by the presence of weeds in an agricultural business are often associated with the ability of weeds as strong competitors for plants to obtain water, nutrients, sunlight, and growing space. A mixture of metolachlor and pendimethalin herbicides is expected to control important weeds of various classes in coffee plants. The purpose of the research was to determine the effect of two herbicide mixtures at different doses on weeds in coffee plantations. This research used a 4 X 4 factorial randomized block design with 2 repetitions, resulting in 32 experimental plots. The first factor was metolachlor herbicide and the second was pendimethalin herbicide, each factor consisting of 4 levels with 0.00, 0.75, 1.75 and 2.25 kg ha-1 doses. The observed parameters consisted of (1) dominance count value, (2) percentage of controlled weeds, (3) weed coverage, (4) weed population, and (5) weed dry weight. The results showed that there was a very significant effect on the combined interaction of metolachlor and pendimethalin herbicide mixtures on the percentage of controlled weeds, percentage of weed closure at 21 and 28 DAA, and weed dry weight at 28 and 42 DAA with the best dose combination at b.a. 1.50 kg ha-1 which could increase the efficiency of weed control. Meanwhile, the percentage of controlled weeds, percentage of weed cover at 14 DAA, and weed population at 28 and 42 DAA showed very significant results independently with a dose of b.a. 2.25 kg ha-1

Compatibility and Stability Analysis of Haploid Inducers under Different Source Germplasm and Seasons in Maize Using GGE Biplot

Compatibility and Stability Analysis of Haploid Inducers under Different Source Germplasm and Seasons in Maize Using GGE Biplot

CARBO: Clustering and rotation based oversampling for class imbalance learning

Class imbalance of a data set is a crucial problem in machine learning where one class significantly outnumbers others. In such a data set, classification is a troublesome task for the standard classification algorithms, leading to bias towards the majority class. Different methods have been developed so far, such as oversampling, undersampling, and cost-sensitive learning, to deal with class imbalance circumstances. Among these techniques, oversampling technique does not suffer from the information loss and critical cost selection challenges. However, appropriate synthetic sample generation can be challenging and vulnerable to privacy leakage. This research proposed an oversampling technique, called CARBO, using threshold-based geometric rotation and majority class influenced clustering. Unlike the existing resampling approaches to class imbalance problem, we contribute to consider the data privacy and optimal sample generation together for effective oversampling. The performance of CARBO is evaluated using 44 benchmark imbalanced data set. The empirical analysis elucidates that CARBO can make boosting-based C4.5 ensemble classifiers perform higher for 73% of the data set than six state-of-the-art approaches. In addition, the theoretical compatibility analysis of CARBO demonstrates its robustness.

Interaction of electromagnetic fields with body-onboard devices

The aim of this contribution is to analyze and discuss the perturbations of body-onboard medical devices caused by electromagnetic field radiations. This involves their control via electromagnetic compatibility analysis and their protection against such perturbations. The wearable, detachable, and embedded devices are first presented and their monitoring, control, forecasting, and stimulating functions are detailed. The interaction of these devices with field exposures comprising their wireless routines is then analyzed. The perturbations control of onboard devices is investigated through the mathematical solution of governing electromagnetic field equations and their appropriate protection strategies are deliberated. The involved investigations and analyses in the contribution are supported by a literature review.

Physical compatibility of ceftriaxone and cefepime in 0.45% sodium chloride, Ringer’s lactate solution, and Plasma-Lyte A

ObjectivesThe compatibility of intravenous fluids with medications is of paramount concern to pharmacists and is an imperative component of ensuring patient safety. Data regarding the physical compatibility of medications with...

Compatibility Review for Object Detection Enhancement through Super-Resolution.

With the introduction of deep learning, a significant amount of research has been conducted in the field of computer vision in the past decade. In particular, research on object detection (OD) continues to progress rapidly. However, despite these advances, some limitations need to be overcome to enable real-world applications of deep learning-based OD models. One such limitation is inaccurate OD when image quality is poor or a target object is small. The performance degradation phenomenon for small objects is similar to the fundamental limitations of an OD model, such as the constraint of the receptive field, which is a difficult problem to solve using only an OD model. Therefore, OD performance can be hindered by low image quality or small target objects. To address this issue, this study investigates the compatibility of super-resolution (SR) and OD techniques to improve detection, particularly for small objects. We analyze the combination of SR and OD models, classifying them based on architectural characteristics. The experimental results show a substantial improvement when integrating OD detectors with SR models. Overall, it was demonstrated that, when the evaluation metrics (PSNR, SSIM) of the SR models are high, the performance in OD is correspondingly high as well. Especially, evaluations on the MS COCO dataset reveal that the enhancement rate for small objects is 9.4% higher compared to all objects. This work provides an analysis of SR and OD model compatibility, demonstrating the potential benefits of their synergistic combination. The experimental code can be found on our GitHub repository.

Automated characterization and analysis of expression compatibility between regulatory sequences and metabolic genes in Escherichia coli

Utilizing standardized artificial regulatory sequences to fine-tuning the expression of multiple metabolic pathways/genes is a key strategy in the creation of efficient microbial cell factories. However, when regulatory sequence expression strengths are characterized using only a few reporter genes, they may not be applicable across diverse genes. This introduces great uncertainty into the precise regulation of multiple genes at multiple expression levels. To address this, our study adopted a fluorescent protein fusion strategy for a more accurate assessment of target protein expression levels. We combined 41 commonly-used metabolic genes with 15 regulatory sequences, yielding an expression dataset encompassing 520 unique combinations. This dataset highlighted substantial variation in protein expression level under identical regulatory sequences, with relative expression levels ranging from 2.8 to 176-fold. It also demonstrated that improving the strength of regulatory sequences does not necessarily lead to significant improvements in the expression levels of target proteins. Utilizing this dataset, we have developed various machine learning models and discovered that the integration of promoter regions, ribosome binding sites, and coding sequences significantly improves the accuracy of predicting protein expression levels, with a Spearman correlation coefficient of 0.72, where the promoter sequence exerts a predominant influence. Our study aims not only to provide a detailed guide for fine-tuning gene expression in the metabolic engineering of Escherichia coli but also to deepen our understanding of the compatibility issues between regulatory sequences and target genes.