Correctness Criterion Research Articles

ABAC Policy Mining through Affiliation Networks and Biclique Analysis

Policy mining is an automated procedure for generating access rules by means of mining patterns from single permissions, which are typically registered in access logs. Attribute-based access control (ABAC) is a model which allows security administrators to create a set of rules, known as the access control policy, to restrict access in information systems by means of logical expressions defined through the attribute–values of three types of entities: users, resources, and environmental conditions. The application of policy mining in large-scale systems oriented towards ABAC is a must because it is not workable to create rules by hand when the system requires the management of thousands of users and resources. In the literature on ABAC policy mining, current solutions follow a frequency-based strategy to extract rules; the problem with that approach is that selecting a high-frequency support leaves many resources without rules (especially those with few requesters), and a low support leads to the rule explosion of unreliable rules. Another challenge is the difficulty of collecting a set of test examples for correctness evaluation, since the classes of user–resource pairs available in logs are imbalanced. Moreover, alternative evaluation criteria for correctness, such as peculiarity and diversity, have not been explored for ABAC policy mining. To address these challenges, we propose the modeling of access logs as affiliation networks for applying network and biclique analysis techniques (1) to extract ABAC rules supported by graph patterns without a frequency threshold, (2) to generate synthetic examples for correctness evaluation, and (3) to create alternative evaluation measures to correctness. We discovered that the rules extracted through our strategy can cover more resources than the frequency-based strategy and perform this without rule explosion; moreover, our synthetics are useful for increasing the certainty level of correctness results. Finally, our alternative measures offer a wider evaluation profile for policy mining.

Preoperative joint line obliquity, a newly identified factor for overcorrection, can be incorporated into a novel preoperative planning method to optimise alignment in high tibial osteotomy.

The aim of this study was to analyse the factors associated with additional postoperative alignment changes after accurate bony correction by selecting only patients with well-performed bony correction as planned and developa method of incorporating significant factors into preoperative planning. Among 104 consecutive patients who underwent medial open wedge high tibial osteotomy (MOWHTO) between October 2019 and July 2022, 61 with well-performed bony corrections were retrospectively reviewed. The major criterion for well-performed bony correction was a difference of <1° between the simulated medial proximal tibial angle (MPTA) and the actual postoperative MPTA as measured in three dimensions. Radiographic parameters, such as the joint line convergence angle (JLCA) and joint line obliquity (JLO), were measured preoperatively and postoperatively, utilising standing and supine whole lower extremity anteroposterior, valgusand varus stress radiographs. Multiple linear regression analysis identified the factors affecting alignment changes, and a prediction model was developed. A method for applying this prediction model to preoperative planning was proposed. Preoperative JLCA on standing (preJLCAstd ), preoperative JLCA on 0° valgus stress radiograph (vgJLCA0 ), and preoperative JLO (preJLO) were significantly correlated with JLCA change (∆JLCA) (p < 0.001, p < 0.001, p = 0.006). The prediction model was estimated as ∆JLCA = 0.493 × (vgJLCA0 ) - 0.727 × (preJLCAstd ) + 0.189 × (preJLO) - 1.587 in. (R = 0.815, modified R2 = 0.646, p < 0.001). The proposed method resulted in a reduced overcorrection rate (p = 0.003) and an improved proportion of acceptable alignments (p = 0.013). PreJLCAstd , vgJLCA0 and preJLO can be used to estimate ∆JLCA. PreJLO was recently identified as a significant factor associated with additional alignment changes. Utilising the proposed preoperative planning and a prediction model with these factors shows promise in calibrating postoperative alignment after MOWHTO. Level III, retrospective cohort study.

Ариосто и Тассо в новых русских переводах

The article examines the new translations of the two major literary monuments of the Italian Renaissance — poems The Frenzy of Orlando (“Orlando furioso”) by Ludovico Ariosto and Jerusalem Delivered (“Gerusalemme liberata”) by Torquato Tasso. Ariosto’s translation does not meet any of the criteria for a quality translation: not only the criterion of style unity but even the criterion of linguistic correctness. The translator Tasso, having set himself the goal of conveying, first of all, the original poetry, takes systematic and unacceptable semantic and figurative liberties when working with a poem classified as a literary canon.

Risk Factors for Overly Rapid Correction in Patients with Profound Hyponatremia: A Retrospective Cohort Study.

Objective Overly rapid correction of profound hyponatremia can lead to osmotic demyelination syndrome; however, the incidence of and risk factors for overly rapid correction in patients with profound hyponatremia have not been thoroughly examined. Therefore, this study examined the incidence of and risk factors for overly rapid correction in patients with profound hyponatremia. Methods This single-center, retrospective cohort study conducted at an 865-bed teaching hospital analyzed data from 144 new inpatients with profound hyponatremia (initial serum sodium [Na+] level of <125 mEq/L) treated in our department between January 2014 and December 2022. Overly rapid correction was defined as serum Na+ correction of >10 mEq/L at 24 h. We examined the incidence of and risk factors for overly rapid correction.Results Thirty (20.8%) patients met the overly rapid correction criteria; however, none developed osmotic demyelination syndrome. A low initial serum Na+ level, female sex, primary polydipsia, and low frequency of follow-up in 24 h were significant independent risk factors for overly rapid correction in the multivariable analysis (p=0.020, p=0.011, p=0.014, and p=0.025, respectively). Conclusion Our study shows that a low initial serum Na+ level, female sex, primary polydipsia, and low frequency of follow-up within 24 h are associated with an increased risk for overly rapid correction of profound hyponatremia. Therefore, we suggest that physicians perform careful management when managing patients with profound hyponatremia with the risk factors for overly rapid correction identified in this study.

Correction criteria for the qualitative analysis of the prison population: drugs possession/consumption and gender violence.

People with language difficulties cannot face challenges related to social skills. Those language disorders affect academic, work environments, and social interaction, leading to maladaptive and aggressive behaviors. Young inmates are at high risk of experiencing unrecognized language deficiencies. It is, therefore, necessary to analyze linguistic pathologies that can influence criminal behavior (drugs possession/consumption and gender violence crimes). There are many standardized tests to evaluate and detect language difficulties in adults in English. However, there are relatively few options in Spanish; there are no tests that evaluate language qualitatively and in depth. Most of the research is conducted with children and adolescents. To propose a reliable coding system for the correction and interpretation of narratives (essays and narratives) from the Battery for the Evaluation of Writing Processes (PROESC) in the prisoners charged of drugs possession or consumption and gender violence crimes. The sample was composed of 287 men. They completed the Demographic, Offense, and Behavioral Interview in Institutions, the International Personality Disorders Examination (IPDE), and PROESC. We found that the proposed coding system presented high concordance, that is, high inter-rater reliability. The classification system for the correction and interpretation of narratives was shown to be reliable.

QUICKeR: Quicker Updates Involving Continuous Key Rotation

Since the advent of cloud computing, storing large quantities of sensitive data on remote services have demanded secure encryption practices to maintain data privacy. Merely encrypting data at-rest leaves ciphertexts vulnerable to inevitable key leakage from mismanaged keys, side-channel attacks, and security bugs. To combat this, we propose QUICKeR, a system to facilitate continuous key rotation and ciphertext updates. Unfortunately, continuous ciphertext updates from key rotation interferes with routine access operations by introducing race conditions and performance bottlenecks that preclude prior works from practical use. QUICKeR addresses these concerns through protocols that eliminate race conditions and even achieve the stronger linearizability correctness criterion. In addition, QUICKeR proposes three approaches to implement frequent ciphertext updates. We show how these different update schemes perform under different database bottlenecks. Finally, we demonstrate that QUICKeR is practical through end-to-end experiments showing that routine access operations are not significantly impacted by ciphertext update operations.

РАЗРАБОТКА СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ ДЛЯ ОПТИМИЗАЦИИ ВЫБОРА ПОТРЕБИТЕЛЕМ МАТЕРИАЛОВ ДЛЯ ТВОРЧЕСТВА

In our article, we will consider the creation of a decision-making system on a specialized resource for the selection of artistic materials. At the moment, the market for art materials is expanding. Unreliable information about their properties leads to large costs on the part of consumers, misconceptions about the needs and requests of the audience on the part of manufacturers, as well as to a deterioration in the environmental situation due to the manufacture of irrelevant products. A distinctive feature of the field of art materials is the lack of clear, only correct criteria for evaluating watercolors. Often, artists master new techniques and techniques, learn to apply the shortcomings of materials and build a new style of their work on them. The article substantiates the need to introduce a system for the implementation of a multi-criteria selection of the optimal artistic material, describes the requirements for the developed model. The decision support system model can be used to simplify the selection of high-quality watercolors in the presence of a large number of expensive alternatives that require high-quality study before being introduced into professional activity. We have chosen the ELECTRE method, which allows us to more flexibly adjust the selection of alternatives to the requirements of an individual consumer. We have considered the advantages and disadvantages of the chosen method, tested the effectiveness of work in the chosen field. Thanks to the collection and processing of data from several expert groups, a more reliable and unbiased result is obtained. DSS can be used both by professional artists to automate and simplify the selection, and by manufacturers to calculate the opinion of the audience and the disadvantages of the manufactured product.

A Novel OFDM-Based Time Domain Quadrature GSM for Visible Light Communication System

In order to improve the spectral efficiency (SE) as well as the receiver performance of band-limited visible light communications (VLCs), two orthogonal frequency division multiplexing (OFDM)-based quadrature generalized multiple-input multiple-output (QG-MIMO) transmission schemes, including time domain (TD) quadrature generalized spatial modulation (TD-QGSM) and TD quadrature generalized spatial multiplexing (TD-QGSMP), are proposed in this paper. Firstly, the constellation symbols in the frequency domain are split into in-phase and quadrature components to perform the OFDM modulation separately. Then, the corresponding time domain signal is spatially mapped on different light emitting diodes (LEDs) for achieving the diversity or multiplexing. In addition, we also propose an illegal vector correction (IVC)-based orthogonal matching pursuit (OMP) detection algorithm to deal with the error propagation and noise amplification effect, where a novel correction criterion is involved for assisting the index vectors estimation and thus for improving the demodulation performance. The simulation results demonstrate that the SE can be significantly improved by the proposed schemes as compared with the existing OFDM-based generalized MIMO schemes, with the TD-QGSM increasing by at least 56.5% and the TD-QGSMP increasing by at least 72.3%. Moreover, the bit error rate (BER) performance can be further improved when applying the proposed IVC-OMP detection method, which outperforms the traditional maximum-likelihood and maximum ratio combining (ML-MRC) detection by at least 62.5%.

The Cauchy Problem for the General Telegraph Equation with Variable Coefficients under the Cauchy Conditions on a Curved Line in the Plane

The Riemann method is used to prove the global correctness theorem to Cauchy problem for a general telegraph equation with variable coefficients under Cauchy conditions on a curved line in the plane. The global correctness theorem consists of an explicit Riemann formula for a unique and stable classical solution and a Hadamard correctness criterion for this Cauchy problem. From the formulation of the Cauchy problem, the definition of its classical solutions and the established smoothness criterion of the right-hand side of the equation, its correctness criterion is derived. These results are obtained by Lomovtsev’s new implicit characteristics method which uses only two differential characteristics equations and twelve inversion identities of six implicit mappings. If the righthand side of general telegraph equation depends only on one of two independent variables, then it is necessary and sufficient that it be continuous with respect to this variable. If the right-hand side of this equation depends on two variables and is continuous, then in its integral smoothness requirements it is necessary and sufficient the continuity in one and continuous differentiability in the other variable. The correctness criterion represents the necessary and sufficient smoothness requirements of the right-hand side of the equation and the Cauchy data. From the established global correctness theorem, the well-known Riemann formulas for classical solutions and correctness criteria to Cauchy problems for the general and model telegraph equations in the upper half-plane are derived. In the works of other authors, there is no necessary (minimally sufficient) smoothness on the right-hand sides of the hyperbolic equations of real Cauchy problems for the set of classical (twice continuously differentiable) solutions.

A System of Interaction and Structure III: The Complexity of BV and Pomset Logic

Pomset logic and BV are both logics that extend multiplicative linear logic (with Mix) with a third connective that is self-dual and non-commutative. Whereas pomset logic originates from the study of coherence spaces and proof nets, BV originates from the study of series-parallel orders, cographs, and proof systems. Both logics enjoy a cut-admissibility result, but for neither logic can this be done in the sequent calculus. Provability in pomset logic can be checked via a proof net correctness criterion and in BV via a deep inference proof system. It has long been conjectured that these two logics are the same. In this paper we show that this conjecture is false. We also investigate the complexity of the two logics, exhibiting a huge gap between the two. Whereas provability in BV is NP-complete, provability in pomset logic is $\Sigma_2^p$-complete. We also make some observations with respect to possible sequent systems for the two logics.

Can we compare health states when our standards change?

AbstractAmong health economists, who think that preferences are the correct standard of the value of health states, it is common to assume, at least implicitly, that the correct criterion of this value takes the following schematic form: H1 is a better health state than H2 iff the members of group S prefer (on average) being in H1 to being in H2. Various candidates for members of S have been proposed, including medical experts, the general public, H1-patients, H2-patients, former H1-patients, former H2-patients, or combinations of these groups. I shall argue that criteria of this form run into serious problems, if we consider cases where people’s fundamental preferences change from one health state to another. I shall also show that these problems afflict hybrid views, according to which preferences are only one determinant of the value of health, the objective value of health states being another. Finally, I shall argue that a better subjectivist criterion would be something like this: H1 is a better health state than H2 iff the H1-patients would want to be in H1 more than the H2-patients would want to be in H2. According to this criterion, the value of a health state is determined by the absolute attitudes (favouring, disfavouring, neutrality) people would have towards a health state were they to be in it. Along the way, I will also present and make use of an attitude matrix framework that enables us to represent in a simple way complex information about attitudes. With this framework at hand, we can easily see the advantages and disadvantages of different subjectivist accounts of the value of health.

Comparing Outcomes of Acute Versus Gradual Surgical Correction in Brachymetatarsia

Brachymetatarsia consists of a shortened metatarsal resulting in a shorter toe. Pain with shoe wear and cosmetic concerns are the main reasons for surgical intervention. Surgical techniques to increase metatarsal length include acute lengthening with interpositional bone grafting or gradual lengthening with callus distraction. We performed a retrospective cohort study for 1 surgeon's patients at 1 institution over 10 years. Twenty-nine feet in 22 patients met inclusion criteria for acute correction; 16 feet in 11 patients were included for gradual correction. Mean ages were 26.3 ± 12.1 and 27 ± 10.8 in the acute and gradual groups, respectively (p = .79). Most patients were female: 95.4% of acute cases and 90.1% of gradual cases. Most involved lengthening the fourth metatarsal: 86.7% and 100% of acute and gradual groups, respectively (p = .54). Correction obtained amounted to 14.4 ± 2.97 mm (range, 10-22 mm) in acute cases and 14.8 ± 2.39 mm (range, 10-20 mm) in gradual cases (p = .81). The mean percent increase in metatarsal length was 21.1 ± 14% for acute and 22.6 ± 12.4% for gradual (p = .72). Mean consolidation was 8.9 ± 2.51 weeks for acute and 21.4 ± 10.8 weeks for gradual (p = <.001). Nonunions were most common in the gradual group (37.5%) with need for more revisional surgery (43.5%) compared with the acute group; both were statistically significant. We conclude that acute brachymetatarsia correction can obtain correction similar to the gradual technique with fewer postoperative complications and less osseous consolidation time.

Towards Benchmarking for Evaluating Machine Learning Methods in Detecting Outliers in Process Datasets

Within the integration and development of data-driven process models, the underlying process is digitally mapped in a model through sensory data acquisition and subsequent modelling. In this process, challenges of different types and degrees of severity arise in each modelling step, according to the Cross-Industry Standard Process for Data Mining (CRISP-DM). Particularly in the context of data acquisition and integration into the process model, it can be assumed with a sufficiently high degree of probability that the acquired data contain anomalies of various kinds. The outliers must be detected in the data preparation and processing phase and dealt with accordingly. If this is sufficiently implemented, it will positively impact the subsequent modelling in terms of accuracy and precision. Therefore, this paper shows how outliers can be identified using the unsupervised machine learning methods autoencoder, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Isolation Forest (iForest), and One-Class Support Vector Machine (OCSVM). Following implementing these methods, we compared them by applying the Numenta Anomaly Benchmark (NAB) and sufficiently presented the individual strengths and disadvantages. Evaluating the correctness, distinctiveness and robustness criteria described in the paper showed that the One-Class Support Vector Machine was outstanding among the methods considered. This is because the OCSVM achieved acceptable anomaly detections on the available process datasets with comparatively little effort.

The exponential logic of sequentialization

Linear logic has provided new perspectives on proof-theory, denotational semantics and the study of programming languages. One of its main successes are proof-nets, canonical representations of proofs that lie at the intersection between logic and graph theory. In the case of the minimalist proof-system of multiplicative linear logic without units (MLL), these two aspects are completely fused: proof-nets for this system are graphs satisfying a correctness criterion that can be fully expressed in the language of graphs. For more expressive logical systems (containing logical constants, quantifiers and exponential modalities), this is not completely the case. The purely graphical approach of proof-nets deprives them of any sequential structure that is crucial to represent the order in which arguments are presented, which is necessary for these extensions. Rebuilding this order of presentation - sequentializing the graph - is thus a requirement for a graph to be logical. Presentations and study of the artifacts ensuring that sequentialization can be done, such as boxes or jumps, are an integral part of researches on linear logic. Jumps, extensively studied by Faggian and di Giamberardino, can express intermediate degrees of sequentialization between a sequent calculus proof and a fully desequentialized proof-net. We propose to analyze the logical strength of jumps by internalizing them in an extention of MLL where axioms on a specific formula, the jumping formula, introduce constrains on the possible sequentializations. The jumping formula needs to be treated non-linearly, which we do either axiomatically, or by embedding it in a very controlled fragment of multiplicative-exponential linear logic, uncovering the exponential logic of sequentialization.Comment: 17 pages, submitted to MFPS 2023

Adaptive decision threshold for an optical multipath-interference-impaired short-reach 50-Gbps PAM4 transmission.

The short-reach optical transmission systems based on intensity modulation and direct detection (IM/DD) are gradually evolving into the networks with complex link topologies and connections, especially inside the data center. Multipath interference (MPI) introduces irregular fluctuations in the 4-level pulse amplitude modulation (PAM4) signals and therefore affects the transmission performance. This Letter proposes an adaptive decision threshold (ADT) scheme to dynamically update the decision threshold, which can track the signal fluctuations in real time and mitigate the impact of MPI noise on the transmitted PAM4 signals. Numerical simulation results present that the proposed ADT scheme can significantly improve the bit error rate (BER) performance of the MPI-impaired PAM4 transmission system considering different MPI levels and laser linewidths. In a 50-Gbps PAM4 transmission system, the ADT can improve the MPI tolerance by more than beyond 6 dB when the BER reaches the KP4-forward error correction (FEC) criterion (2.4 × 10-4), presenting a better denoising performance than the existing MPI-mitigation algorithms A1 and A2. Moreover, the ADT scheme offers a lower computation complexity compared with A1 and A2, making it more practical for implementation.

Understanding the interpretation of legal standards: theoretical, administrative, criminal, financial aspects

The purpose of the research is to consider ways for interpretation of legal norms in modern jurisprudence Main content. It has been established that interpretation will result in a general conclusion or a sum of conclusions reached by the subject of interpretation in the process of clarifying the rule of law (legal norms) using the entire set of interpretation methods, which is adequate to the actual content of this rule and meets the criteria of truth and correctness of the result of interpretation... Methodology: The methodological basis of the research is presented as comparative-legal and systematic analysis, formal-legal method, interpretation method, hermeneutic method as well as methods of analysis and synthesis. Conclusions. It has been concluded that the procedure for achieving the goal of interpretation should be as follows: grammatical interpretation - teleological interpretation - clarification of compliance of the essence of legal norm content with the principles of law - systematic interpretation - special legal interpretation - logical interpretation - functional interpretation - historical interpretation - repeated application of the interpretation procedure when receiving new data.&#x0D; Key words: ways for interpretation of legal norms, the purpose of interpretation, legal understanding, criminal liability, types of legal understanding.

Identification of 8 Rare Deleterious Variants in ADAMTS13 by Next-generation Sequencing in a Chinese Population with Thrombotic Thrombocytopenic Purpura.

Thrombotic thrombocytopenic purpura (TTP) is a rare and fatal disease caused by a severe deficiency in the metalloprotease ADAMTS13 and is characterized by thrombotic microangiopathy. The present study aimed to investigate the genes and variants associated with TTP in a Chinese population. Target sequencing was performed on 220 genes related to complements, coagulation factors, platelets, fibrinolytic, endothelial, inflammatory, and anticoagulation systems in 207 TTP patients and 574 controls. Subsequently, logistic regression analysis was carried out to identify the TTP-associated genes based on the counts of rare deleterious variants in the region of a certain gene. Moreover, the associations between common variants and TTP were also investigated. ADAMTS13 was the only TTP-associated gene (OR = 3.77; 95% CI: 1.82-7.81; P=3.6×10ȡ4) containing rare deleterious variants in TTP patients. Among these 8 variants, 5 novel rare variants that might contribute to TTP were identified, including rs200594025, rs782492477, c.T1928G (p.I643S), c.3336_3361del (p.Q1114Afs*20), and c.3469_3470del (p.A1158Sfs*17). No common variants associated with TTP were identified under the stringent criteria of correction for multiple testing. ADAMTS13 is the primary gene related to TTP. The genetic variants associated with the occurrence of TTP were slightly different between the Chinese and European populations.

Development and Validation of an Ability Measure of Emotion Understanding: The Core Relational Themes of Emotion (CORE) Test.

Emotion understanding (EU) ability is associated with healthy social functioning and psychological well-being. Across three studies, we develop and present validity evidence for the Core Relational Themes of Emotions (CORE) Test. The test measures people's ability to identify relational themes underlying 19 positive and negative emotions. Relational themes are consistencies in the meaning people assign to emotional experiences. In Study 1, we developed and refined the test items employing a literature review, expert panel, and confusion matrix with a demographically diverse sample. Correctness criteria were determined using theory and prior research, and a progressive (degrees of correctness) paradigm was utilized to score the test. In Study 2, the CORE demonstrated high internal consistency and a confirmatory factor analysis supported the unidimensional factor structure. The CORE showed evidence of convergence with established EU ability measures and divergent relationships with verbal intelligence and demographic characteristics, supporting its construct validity. Also, the CORE was associated with less relational conflict. In Study 3, the CORE was associated with more adaptive and less maladaptive coping and higher well-being on multiple indicators. A set of effects remained, accounting for variance from a widely used EU test, supporting the CORE's incremental validity. Theoretical and methodological contributions are discussed.

Evaluation of the effects of leakage current in the calibration of standard resistors between two dc resistance bridges and a digital sampling impedance bridge

This article discusses calibrations results of standard resistors performed with two commercially available equipment and a digital sampling impedance bridge developed at Inmetro. One of the commercial bridges uses the current comparison method and the other the potentiometric method with a binary voltage divider. Calibration was performed with standard resistors of 10 kΩ and 100 kΩ with significant leakage current. This study showed divergent results between each methodology. A specific methodology was used to estimate the leakage resistance of these resistors. This study contributes to establish criteria for correction and/or inclusion of uncertainty components in resistors calibrated in these methodologies.

Nonlinear modeling of carbon dynamics in soil treated with tannery sludge

In 2020, the Brazilian commercial cattle herd was the largest in the world, representing 14.3% of the worldwide herd, with201.7 million heads. Although this activity yields significant profits, contributing to the economic and social development ofBrazil, it has been the target of concerns, mainly due to the large production of waste/effluents associated to bovine leatherprocessing. In this scenario, mineralization is important because nutrients essential for plant growth are released duringthe process of organic waste decomposition, and the dynamics of carbon release can be described by nonlinear regressionmodels. Thus, this study aimed to model the mineralization of organic carbon in the soil for 6, 12, 24, and 36 megagramsdoses per hectare (Mg ha−1) of tannery sludge using the Stanford &amp; Smith, Cabrera, and Juma nonlinear models. Very clayeysoil samples were used: eutroferric red nitosol (NVef). Mineralized carbon was measured in 21 observations over time untilthe 105th day of incubation. Parameters were estimated using the least squares method. Adjustments were compared usingthe corrected Akaike information criterion (AICc) and the adjusted coefficient of determination (R2aj) as selection criteria. The Cabrera model had the best adjustments for doses 6, 12, and 24 Mg ha−1 and Juma for dose 36 Mg ha−1, based on the selection criteria used. Although the Stanford &amp; Smith model is the most widely used in the literature to model soil carbon dynamics, its use was not the most appropriate for any of the doses evaluated in this study. The higher the dose of tannerysludge, the greater the amount of potentially mineralizable carbon.