Basis Of Measurements Research Articles

Standardization in paediatric echocardiographic reporting and critical interpretation of measurements, functional parameters, and prediction scores: a clinical consensus statement of the European Association of Cardiovascular Imaging of the European Society of Cardiology and the Association for European Paediatric and Congenital Cardiology.

This document has been developed to provide a guide for basic and advanced reporting in paediatric echocardiography. Furthermore, it aims to help clinicians in the interpretation of echocardiographic measurements and functional data for estimating the severity of disease in different paediatric age groups. The following topics will be reviewed and discussed in the present document: (i) the general principle in constructing a paediatric echocardiographic report, (ii) the basic elements to be included, and (iii) the potential and limitation of currently employed tools used for disease severity quantification during paediatric reporting. A guide for the interpretation of Z-scores will be provided. Use and interpretation of parameters employed for quantification of ventricular systolic function will be discussed. Difficulties in the adoption of adult parameters for the study of diastolic function and valve defects at different ages and pressure and loading conditions will be outlined, with pitfalls for the assessment listed. A guide for careful use of prediction scores for complex congenital heart disease will be provided. Examples of basic and advanced (disease-specific) formats for reporting in paediatric echocardiography will be provided. This document should serve as a comprehensive guide to (i) structure a comprehensive paediatric echocardiographic report; (ii) identify the basic morphological details, measures, and functional parameters to be included during echocardiographic reporting; and (iii) correctly interpret measurements and functional data for estimating disease severity.

Green fuel production from waste fried sunflower oil using reusable mesoporous COP-KOH catalyst with a kinetic study

Declining fossil fuel reserves and fluctuating petroleum prices have prompted global research efforts to develop clean, renewable, and sustainable alternatives to traditional fossil fuels. In this study, a reusable and eco-friendly activation catalyst was designed by combining KOH with a polymer. A series of three polymer catalysts were synthesized, and their catalytic activities were compared with those of COP-KOH, COP-K3PO4 and COP-KF. It was found that the prepared COP-KOH catalyst showed the highest activity. The catalyst was characterized by FT-IR, which confirmed the presence of potassium support successfully coordinated on the COP. Additional analyses included N2 and BET, XPS, SEM, mapping, and basicity measurement by ICP analysis. The prepared catalysts a possessed mesoporous structure, high surface area of 4.2961 m2/g−1, pore volume of 2.2439 m2/g−1, and high basicity. Here, the activity and stability of the potassium modified mesoporous polymer COP-KOH catalyst in green fuel synthesis from waste fried sunflower oil was evaluated. The green fuel conversion rate of 96.42 % was achieved under optimal reaction conditions, with a molar ratio of 6:1 methanol to fried sunflower oil, a catalyst concentration of 85 wt%, a reaction temperature of 61 °C, and a reaction time of 4.5 h. A satisfactory yield of 92.1 % was obtained after use for four consecutive cycles without significant deactivation, and after the fourth cycle catalyst was reactivated with KOH. The characteristic differences in the FT-IR results of the fresh catalyst, used catalyst, and re-activated COP-KOH catalyst, indicated the mode of interaction between the catalyst and reactants. The kinetics of the transesterification reaction was also determined, and the activation energy was found to range from 20.9 to 23.4 kJ.mol−1. The properties of the green fuel were found to be in good agreement with the ASTM D6571-02 standard. The catalyst is recyclable, and using inexpensive feedstock makes the overall process more cost-effective and environmentally friendly.

150 PDC on workplace air exposure assessment using freeware apps Part I: Basic characterisation and measurement processing

150 PDC on workplace air exposure assessment using freeware apps Part I: Basic characterisation and measurement processing

Identifying Station Importance in Urban Rail Transit Networks Using a Combination of Centrality and Time Reliability Measures: A Case Study in Beijing, China

Time reliability (TR) is a critical factor that affects the efficiency and service quality of the urban rail transit network (URTN). However, previous studies have not incorporated TR into the evaluation of URTN station importance, focusing instead on basic centrality measures. Therefore, this paper proposes a new metric of station-based TR for evaluating and ranking URTN station importance. The new metric in combination with traditional centrality measures was used by the weighted Technique for Order of Preference by Similarity to Ideal Solution (weighted TOPSIS) to identify the combined significance level of individual URTN station importance and rank them accordingly. To investigate the performance of this method, we exploit deliberate attacks on the top-ranked stations through different methods. A case study of Beijing’s URTN during the morning peak hour showed that the proposed method is generally a better indicator for identifying station importance in maintaining network connectivity. The case study also demonstrated the feasibility and validity of the model. This study can provide recommendations for the planning and operation of rail transit systems and can inform the effective design of station protection strategies.

A Smart Secure model for Detection of DDoS Malicious Traces in Integrated LEO Satellite-Terrestrial Communications

For many researchers, defense against DDoS attacks has always been a major subject of attention. Within the LEO Satellite-Terrestrial (LSTN) network field, distributed denial of service (DDoS) attacks is considered to be one of the most potentially harmful attack techniques. For the facilitation of network protection by the detection of DDoS malicious traces inside a network of satellite devices, machine learning algorithms plays a significant role. This paper uses modern machine learning approaches on a novel benchmark Satellite dataset. The STIN and NSL-KDD datasets has been used to detect network anomalies. The pre-processing of data has been performed effectively and a host of ML methods have been applied to classify the outputs into normal, regular node or untrustable /malicious node. We have evaluated the analysis results in presence of attacks as well as without presence of attacks, supervised machine learning techniques basic measurements like accuracy, True positive, False positive etc. Our proposed trust model shows better accuracy, nearby 98% and we have shown that our proposed machine learning based security model performs better to get rid of DDoS attacks on integrated LEO satellite-terrestrial networks without compromising on the packet routing efficiency. We are able to improve routing speed and improve network security against distributed denial of service (DDoS) attacks by integrating an ensemble-based trust model trained on NSL-KDD+STIN+Exata Simulated resultant dataset with ACO for routing decisions. In dynamic network scenarios, as trustworthiness is an essential criterion in route decision-making, this proposed approach signifies resilient and adaptable routing.

The impact of livelihood resilience and climate change perception on farmers' climate change adaptation behavior decision

PurposeAdopting adaptive behavior has become a basic measure for farmers because the increasingly severe climate change is affecting agricultural production. Perception is a critical first step in adopting adaptive behaviors. Livelihood resilience represents a farmer's ability to adapt to climate change. Therefore, this article aims to explore the impact of livelihood resilience and climate change perception on the climate change adaptation behavior of farmers in the Qinling Mountains region of China.Design/methodology/approachIn this study, 443 micro-survey data of farmers are obtained through one-on-one interviews with farmers. The Logit model and Poisson regression model are used to empirically examine the impact of farmers' livelihood resilience and climate change perception on their climate change adaptation behaviors.FindingsIt was found that 86.68% of farmers adopt adaptive behaviors to reduce the risks of facing climate change. Farmers' perception of extreme weather has a significant positive impact on their adaptive behavior under climate change. The resilience of farmers' livelihoods and their perception of rainfall have a significant positive impact on the intensity of their adaptive behavior under climate change. Climate change adaptation behaviors are also different for farmers with different levels of livelihood resilience.Originality/valueBased on the results, policy recommendations are proposed to improve farmers' perception of climate change, enhance the sustainability of farmers' adaptive behavior to climate change, strengthen emergency management and infrastructure construction and adjust and upgrade farmers' livelihood models.

Stress testing for IInd pillar life-cycle pension funds using hidden Markov model

AbstractThis paper presents a stress testing technique based on a hidden Markov regime switching model and scenario generations. Firstly, we assume that investor’s risk preferences and beliefs are primarily observed in main world indices and then transmitted to other markets such as IInd pillar life-cycle pension funds. This enables both regime (market state) identification and regime-switching detection. Second, we apply stress to the transition matrix by increasing probabilities of moving to a worse market state, i.e., we increase the transition probabilities on the upper-right side of the main diagonal and decrease the diagonal probabilities correspondingly. Third, future scenarios (evolution) of returns of pension funds are generated using stressed transition matrices and basic risk and performance measures of the final wealth are presented. Finally, three different strategies for pension managers are considered and compared to each other. The results show how the best strategy depends on the stress level.

Strong Bases and beyond: The Prominent Contribution of Neutral Push-Pull Organic Molecules towards Superbases in the Gas Phase.

In this review, the principles of gas-phase proton basicity measurements and theoretical calculations are recalled as a reminder of how the basicity PA/GB scale, based on Brønsted-Lowry theory, was constructed in the gas-phase (PA-proton affinity and/or GB-gas-phase basicity in the enthalpy and Gibbs energy scale, respectively). The origins of exceptionally strong gas-phase basicity of some organic nitrogen bases containing N-sp3 (amines), N-sp2 (imines, amidines, guanidines, polyguanides, phosphazenes), and N-sp (nitriles) are rationalized. In particular, the role of push-pull nitrogen bases in the development of the gas-phase basicity in the superbasicity region is emphasized. Some reasons for the difficulties in measurements for poly-functional nitrogen bases are highlighted. Various structural phenomena being in relation with gas-phase acid-base equilibria that should be considered in quantum-chemical calculations of PA/GB parameters are discussed. The preparation methods for strong organic push-pull bases containing a N-sp2 site of protonation are briefly reviewed. Finally, recent trends in research on neutral organic superbases, leaning toward catalytic and other remarkable applications, are underlined.

Критерии соответствия первичного встречного обеспечения его каузе

Counter interim measures in the arbitration process protect the property interests of the applicant party. They provide the recovery of provisional expenses. This research identifies the criteria for the counterclaim provided by the plaintiff in order to compensate for possible provisional expenses. By presenting counter-undertaking in damages, the plaintiff increases the chances of basic interim measures to secure the claim because that way the plaintiff guarantees their proportionality. By demanding counter-undertaking in damages from the plaintiff, the defendant or other interested parties, on the contrary, seek to raise doubts about the proportionality of the measures taken to secure the claim. As a result, they have to prove the likelihood of the plaintiff losing the case, as well as the likelihood of harm from the interim measures taken. The presentation and reclamation of counter-undertaking in damages is a procedural mechanism based on the adversarial nature and autonomy of will. Thus, the right to reclaim the primary counter-undertaking on its own initiative should be excluded from the court. The primary counter-security is designed to guarantee the compensation of expenses. Therefore, the authors justified the possibility of using various ways to secure a tort obligation for these purposes, not limited to an independent guarantee. The article describes the application and refund procedure for money deposited by the applicant to the court’s deposit account as primary counter-undertaking in damages. As a result, the criteria that the primary counter-undertaking in damages include the security period, the amount, and the economic profitability. These criteria were determined based on the unique tools for each legal way of securing obligations.

PROGRESSIVE CONTROL AND MANAGEMENT STRATEGIES IN THE ELIMINATION OF RABIES AMONG THE STRAY DOG (CANIS FAMILIARIS) POPULATION IN PAKISTAN

Stray dogs are integrally linked with rabies transmission, and a sizeable unmanaged dog population hinders rabies control program planners. Dog population management (DPM) is one of the best strategies to control rabies transmission, improve health management, and lower the population size of stray dogs. The threat of rabies is very serious due to free-roaming dogs. Foxes, skunks, groundhogs, raccoons, and house bats are rabies vector species and can carry rabies virus without showing any symptoms. Rabies is a life-threatening disease that affects thousands of losses worldwide every year. World Rabies Day is an international awareness campaign coordinated by the Global Alliance for Rabies Control (GARC). In Pakistan, there are reportedly 3 million stray dogs. More than one million dog bite cases are reported annually throughout Pakistan. About 600 dog bite cases are reported daily in the Sindh province, Pakistan. Due to an uncontrolled number of stray dogs, many serious problems arise related to public health, socio-economic, and political issues. The Animal Act of 1890 provides a specific defense against cruelty and establishes its importance in Pakistani culture. Developing long-term and supportable strategies is imperative to overcome the stray animal population worldwide. To overcome the rabies issue in Pakistan, the government should implement projects on breeding control of stray dogs through spaying and neutering surgeries. The government should also provide proper shelters for dogs and rabies vaccines. There is a need to be aware of basic preventive measures such as disinfectants and rabies vaccination. Public awareness, rabies vaccination, and dog sterilization at the national level are crucial factors in preventing rabies and managing the dog population in Pakistan.

Evaluating the Cumulative Effects of Fundamental Radiation Safety Measures on Health Professionals in Cath Lab

Objectives: The significant rise in modern cath lab units has led to a proportionate increase in cath lab procedures and subsequent radiation environment may elevate the occupational radiation exposure to staff. This study aimed to assess the collective impact of fundamental radiation safety devices in the cath lab on decreasing occupational radiation exposure to staff. Methods: This study was conducted in our cath lab room, equipped with a Siemens Artis cath lab unit. Measurements were performed using RaySafe X2 detectors and Thermo Luminescent Dosimeters (TLDs). Dose assessments were conducted without safety measures and then found a considerable reduction of dose by adding basic radiation safety measures. Findings: The use of lead aprons resulted in a substantial reduction( 92%) in radiation dose. The effect of time and distance versus dose was plotted. The impact of lead flaps and the use of a ceiling suspension shield quantify reductions in scattered doses. The cumulative impact of each safety measure was calculated, and the outcome indicates a 99% reduction in dose. The importance of utilizing all available protective measures when working with radiation cannot be overstated. It is essential for maximizing safety, minimizing risks, and fostering a culture of safety within radiation environments like cath labs. Novelty: This is a thorough assessment of different radiation protection strategies in the specific setting of a Cath lab. It not only evaluates individual measures but also considers their combined impact and the calculation based on the exit dose from the patient. Keywords: Cardiologist, Radiation Dose, Interventional Radiology, Radiation protection, Cath lab

Aspects of biosafety and biosecurity in poultry

The article is devoted to analyzing aspects of biosecurity and biosecurity in the conditions of poultry farms under different poultry-keeping schemes. Production of poultry meat in the EU countries by species is broiler meat – 84.4 %, turkeys – 12.7 %, ducklings – 2.6 %, and other types of slaughtered poultry meat – 0.3 %. Ukraine is one of the five countries in the world that are the largest exporters of poultry meat to the EU, and the volume of poultry meat exported to EU member states in 2023 amounted to 97.469 tons. Compliance with basic biological safety measures is the best way to reduce the risk of spreading infectious diseases, produce safe products, and ensure veterinary food safety. Biosecurity in poultry farming involves some fundamental methods and strategies. Biosecurity is based on two fundamental principles: preventing pathogens from entering the territory of poultry farming (external biosecurity) and their further distribution (internal biosecurity). Factors of external biosecurity are the control of the penetration of biological vectors of the causative agents of poultry infectious diseases (restriction of the entry of vehicles into the farm territory, entry of outsiders, wild animals, rodents, synanthropic birds, and insects). Control of biological vectors of introducing pathogens into the farm is carried out through physical protection barriers (arrangement of fences, fences, installation of protective nets and screens on windows, doors, and ventilation shafts). The factors of internal biosecurity of poultry farms include the system of keeping poultry, proper practice of waste management (timely removal of poultry carcasses, litter, manure, method of waste management), use of hygienic means of bioprotection by employees, hygienic processing between «clean» and "dirty" areas of maintenance facilities, control and management of feed and water, cleaning and disinfection of production facilities. The level of biosecurity depends on the epizootic situation and the industry's provision of modern means of diagnosis, prevention, and treatment. In the conditions of martial law in our country, the principal risks of biological decline are the destruction of homesteads of the population and industrial-type poultry farms; the difficulty of disposing of poultry carcasses, waste from the poultry industry, and household waste following current requirements, as well as changes in the migration routes of synanthropic birds.

Aviation equipment measurement and assembly analysis method based on robotic system

In the manufacturing industry of aviation equipment (e.g., ballistic missile, rocket, unmanned aerial vehicle (UAV), and airplane), the traditional assembly quality inspection methods mainly rely on manual operation of single- or multi-stations laser trackers, but they are powerless to measure and evaluate complex components on the aviation equipment. This paper introduces a method for automatically detecting and evaluating assembly accuracy: first, the global accurate calibration is performed automatically by deriving the optimized positioning of leapfrog balls; after selecting the aviation equipment type to determine the measurement tasks, each side of the aviation equipment is equipped with a robot and an accompanying FARO scanning arms that can move together on the U-shaped guide rail to the measurement station where the measurement task is to be performed; at each measurement station, the robot drives the movement of the FARO scanning arm through a linkage mechanism to perform scanning; after the whole measurement processes are completed, data from multiple measurement stations is integrated into the same coordinate system for calculation and assembly quality analysis. The algorithm module consists of path planning function for scanning various parts, feature extraction function for various geometric elements, and assembly quality evaluation function. Compared with laser tracker method, the proposed method can effectively and accurately measure and analyze basic measurement tasks: the maximum differences of length, concentricity, and perpendicularity are all less than 0.3%; while the time consumption can be significantly reduced to less than 5% of that of the laser tracker method. Moreover, the proposed method can also achieve the automatic measurement and analysis of complex positioning components that cannot be achieved by laser trackers, e.g., center of positioning hole, position deviation of the bump, and azimuth angle between the positioning surfaces.

Virulence factors, antifungal susceptibility and molecular profile in Candida species isolated from the hands of health professionals before and after cleaning with 70% ethyl alcohol-based gel

Fungal infections in neonatal intensive care units (NICU) are mainly related to Candida species, with high mortality rates. They are predominantly of endogenous origin, however, cross-infection transmitted by healthcare professionals' hands has occurred. The aim of this study was to identify Candida species isolated from the hands of healthcare professionals in a NICU before and after hygiene with 70% ethanol-based gel and evaluate virulence factors DNase, phospholipase, proteinase, hemolysin, biofilm biomass production, and metabolic activity. In vitro antifungal susceptibility testing and similarity by random amplified polymorphic DNA (RAPD) were also performed. C. parapsilosis complex was the most frequent species (57.1%); all isolates presented at least one virulence factor; three isolates (Candida parapsilosis complex) were resistant to amphotericin B, two (Candida famata [currently Debaryomyces hansenii] and Candida guilliermondii [currently Meyerozyma guilliermondii]) was resistant to micafungin, and six (Candida parapsilosis complex, Candida guilliermondii [=Meyerozyma guilliermondii], Candida viswanathi, Candida catenulata [currently Diutina catenulata] and Candida lusitaniae [currently Clavispora lusitaniae]) were resistant to fluconazole. Molecular analysis by RAPD revealed two clusters of identical strains that were in the hands of distinct professionals. Candida spp. were isolated even after hygiene with 70% ethanol-based gel, highlighting the importance of stricter basic measures for hospital infection control to prevent nosocomial transmission.

Functional brain network analysis using electroencephalography in late-onset Lennox–Gastaut syndrome

ObjectiveWe aimed to explore the clinical characteristics and functional network properties of patients with late-onset Lennox–Gastaut syndrome (LGS). MethodsLate-onset LGS was defined by the appearance of LGS features after 8 years of age. We reviewed the medical charts of 9 patients with late-onset LGS, and performed electroencephalography connectivity analysis using graph theory. We assessed the clustering coefficient (CC) and characteristic path length (CPL), which are common basic measures of functional networks that represent local segregation and global integration. The characteristics and brain parameters of late-onset LGS were compared with a typical age-onset LGS group. ResultsLate onset LGS subjects were older than typical age onset LGS at the time of testing, but otherwise there were no significant differences in clinical characteristics. The late-onset group showed higher median CC values in the alpha (p = 0.045) and beta (p < 0.001) bands over brain regions implicated in cognitive processing. There were no significant differences in CPL between the LGS groups. ConclusionsHigher clustering coefficient values, in alpha/beta bands over brain regions implicated in cognitive processing, are consistent with increased cognitive network segregation in late onset LGS compared to typical age-onset LGS. Given network segregation is a normal aspect of brain maturation, these results imply that this process is less disturbed when the LGS process begins later in childhood.

Regression Modeling of Daily PM2.5 Concentrations with a Multilayer Perceptron

Various types of energetic fuel combustion processes emit dangerous pollutants into the air, including aerosol particles, marked as PM10. Routine air quality monitoring includes determining the PM10 concentration as one of the basic measurements. At some air monitoring stations, the PM10 measurement is supplemented by the simultaneous determination of the concentration of PM2.5 as a finer fraction of suspended particles. Since the PM2.5 fraction has a significant share in the PM10 fraction, the concentrations of both types of particles should be strongly correlated, and the concentrations of one of these fractions can be used to model the concentrations of the other fraction. The aim of the study was to assess the error of predicting PM2.5 concentration using PM10 concentration as the main predictor. The analyzed daily concentrations were measured at 11 different monitoring stations in Poland and covered the period 2010–2021. MLP (multilayer perceptron) artificial neural networks were used to approximate the daily PM2.5 concentrations. PM10 concentrations and time variables were tested as predictors in neural networks. Several different prediction errors were taken as measures of modeling quality. Depending on the monitoring station, in models with one PM10 predictor, the RMSE error values were in the range of 2.31–6.86 μg/m3. After taking into account the second predictor D (date), the corresponding RMSE errors were lower and were in the range of 2.06–5.54 μg/m3. Our research aimed to find models that were as simple and universal as possible. In our models, the main predictor is the PM10 concentration; therefore, the only condition to be met is monitoring the measurement of PM10 concentrations. We showed that models trained at other air monitoring stations, so-called foreign models, can be successfully used to approximate PM2.5 concentrations at another station.

A Dynamic Model for GMP Compliance and Regulatory Science

PurposeTo propose a dynamic model designed to investigate the underlying principles of regulatory science and assess the effectiveness of pharmaceutical GMP regulation.MethodsA dynamic model for the state of compliance of a pharmaceutical manufacturing firm is constructed by using a generalized Ornstein-Uhlenbeck equation. The model is based on quantitative characterization of principles of proportionality, transparency and consistency, and regulatory effectiveness as measured by efficiency, cost and quality. The dynamic model is solved by numerical simulation.ResultsThe dynamic model is capable of characterizing a wide range of compliance behaviors and regulatory actions, including the regression and heightening of compliance vigilance, and the scheduling of frequency and concurrency of regulatory actions. Quantitative relationships are established between the principles of proportionality, transparency and consistency, and the basic measures of regulatory effectiveness in terms of efficiency, cost and quality.ConclusionsThe compliance behaviors and the regulatory actions can be quantitatively characterized by a dynamic model, and this in turn suggests that proportionality, transparency and consistency can serve as fundamental concepts, and efficiency, cost and quality can serve as basic measures for regulatory science.

Poor cyber hygiene puts the UK at risk

The UK's businesses and charities could be sitting ducks, according to the Government's latest ‘Cyber Security Breaches Survey’. Too many organisations are failing to deploy even the most basic cyber security measures. Equally, few are prepared for the new wave of AI-driven attacks or the consequences of being breached.

Data preprocessing for flatness measurements of large precision workpieces

Abstract Measuring the flatness error of large precision workpieces quickly and accurately is a difficult problem. A new method for preprocessing flatness measurement data based on MSE (mean squared error) is proposed. A mathematical model of a new data preprocessing method was established, and the mathematical formula for model solving was derived in detail. The data were measured by digital level on the plane of the granite base with dimensions of 2340 m×1540 mm. The new method and SmartLevel (basic measurement system of the level computer) were used to calculate and process the data. The flatness errors after diagonal evaluation were 4.07 μm and 3.90 μm, respectively. The relative error of the two was 4.36%, which confirmed the reliability and accuracy of the new method. The data results show that this method can be effectively used for the engineering measurement of the flatness of large precision workpieces.

Solvent Acidity and Basicity Scales: Analysis of Catalan’s SB and SA Scales and Gutmann’s Acceptor Number and Comparison with Kamlet and Taft’s β and α Solvent Scales, Gutmann’s Donor Number and Abraham’s B and A Solute Scales

The use of experimental parameters to quantify solvent properties, for example in linear free energy relationships, is well established and several scales of solvent acidity, basicity and polarity/polarizability have been developed. The success of this approach raises questions of which molecular properties contribute to particular solvent parameters and whether these contributions are found in all parameters representing a particular solvent property. In the present study, Catalan’s hydrogen bond basicity and acidity parameters, SB and SA, and Gutmann’s acceptor number, AN, a measure of a solvent’s Lewis acidity, are correlated with molecular properties derived from computational chemistry. The results are compared with the results of similar correlations with Kamlet and Taft’s β and α Solvent Scales, Gutmann’s donor number DN) and Abraham’s B and A solute scales. The results show that measures of solvent basicity, SB, β and DN all correlate strongly with the partial charge on the most negative atom in the solvent molecule and the energy of the donor orbital and, in all cases, the parameter values for hydrogen-bonded solvents are anomalous. Abraham’s B, a measure of solute hydrogen basicity, depends only on the partial charge on the most negative atom and there is no anomaly in the values for solutes that, in the pure state, form hydrogen-bonded liquids. Similarly, all measures of solvent acidity, SA, α and AN, and Abraham’s A, a measure of solute hydrogen bond acidity, depend on the partial charge on the most positive hydrogen on the molecule.