Reference Benchmark Research Articles

Early Internal Short Circuit Diagnosis for Lithium-Ion Battery Packs Based on Dynamic Time Warping of Incremental Capacity

Timely identification of early internal short circuit faults, commonly referred to as micro short circuits (MSCs), is essential yet poses significant challenges for the safe and reliable operation of lithium-ion battery (LIB) energy storage systems. This paper introduces an innovative diagnostic method for early internal short circuits in LIB packs, utilizing dynamic time warping (DTW) applied to incremental capacity (IC). Initially, the terminal voltages of all cells within the LIB pack are ordered at any moment to determine the median terminal voltage, which is then used to generate the median IC curve. This curve acts as a reference benchmark that represents the condition of healthy cells in the pack. Subsequently, the DTW algorithm is utilized to measure the similarity between each cell’s IC curve and the median IC curve. Cells exhibiting similarity scores that exceed a specified threshold are identified as having MSC faults. Lastly, for the cells diagnosed with MSC conditions, a method for estimating short-circuit resistance (SR) based on variations in maximum charging voltage is devised to quantitatively evaluate the severity and evolution of the MSC. Experimental findings reveal that the proposed method effectively identifies MSC cells in the LIB pack and estimates their SRs without the necessity of a battery model, thereby affirming the method’s validity.

Метод определения плановых координат и высоты рабочего репера на оползне с принудительными отклонениями вехи от отвесного положения

Determination of plan view coordinates and working benchmarks heights on a landslide by linear-angular measurements using electronic total stations by the polar notching method and trigonometric levelling involves installing a prism reflector on a tripod or a pole plumb above the observed benchmark. In order to put it in the mentioned position, round levels are used, its accuracy affects precise determining the plan view coordinates and the benchmark heights. Direct visibility from the reference benchmark to the working one may be lost due to landslide displacements, reappeared vegetation or other obstacles. These circumstances may cause incomplete or distorted interpretation of the landslide hazard forecast during cyclic multi-year observations. The authors propose a new method of determining the plan view coordinates and height of the working benchmark on a landslide by linear-angular measurements on a pole with a prism reflector with its forced inclinations from the plumb position. The required data is calculated as the said parameters of the sphere center, which is constructed by approximation of those of the prism reflector node point obtained by tilting the pole. A number of experiments were carried out to confirm the performance of the method in geodetic landslide observations and its suitability for use in cases of visibility loss to the benchmark at the plumb position of the pole

Role of Exact Exchange and Empirical Dispersion in Density Functional Theory-Based Three-Body Noncovalent Interactions.

Total and three-body interaction energies are calculated for a benchmark set of three-body systems using a range of different types of density functional theory (DFT) methods, with the results compared to CCSD(T)/CBS results from the benchmark reference [Phys. Chem. Chem. Phys. 2023, 25, 28621-28637]. Inclusion of Hartree-Fock exchange, via either a global or range-separated hybrid approach or inclusion of empirical dispersion corrections, increases accuracy for total and three-body interactions. Basis set convergence testing shows that the aug-cc-pVTZ basis set is well converged with little to no change seen when using quadruple-ζ basis sets. The accuracy of the DFT methods is similar when calculating interaction energies for both global and local minimum structures. Overall, the CAM-B3LYP-D3BJ, B97D3, and ωB97XD functionals are recommended for calculating three-body interactions.

Spatio-temporal variation in mangrove crab diversity in five estuaries of Kerala, India

The present study investigated the community structure and faunal composition of mangrove crab assemblage of five estuaries in Kerala. Mangrove crabs were collected from different estuaries namely Puthuvype, Ayiramthengu, Dhalavapuram, Pullichira and Kottaramthuruth from January 2015 to December 2015. The numerical abundance was directly enumerated by handpicking crabs from the estuarial mangrove region from 100×100 cm quadrats from the estuarine mangrove regions. Thirteen brachyuran crab species were identified across the five estuaries, along with environmental and sedimentological parameters. Various diversity indices were calculated for spatial temporal comparisons. The study revealed that four of the estuaries exhibited similar crab species diversity, while Pullichira differed, displaying the lowest diversity due to habitat characteristics such as small islands or sand dunes and shallow depth. The calculated indices for species diversity, richness, dominance, evenness, taxonomic and phylogenetic relationships provide insights into the spatio-temporal variations of mangrove crab diversity. This study serves as a benchmark reference for future studies in these estuaries, and further monitoring and assessment of mangrove ecosystem health could support the development of ecosystem-based management strategies for deteriorating mangrove ecosystems.

Performance of Low-Dimensional Solid Room-Temperature Photodetectors-Critical View.

In the last twenty years, nanofabrication progress has allowed for the emergence of a new photodetector family, generally called low-dimensional solids (LDSs), among which the most important are two-dimensional (2D) materials, perovskites, and nanowires/quantum dots. They operate in a wide wavelength range from ultraviolet to far-infrared. Current research indicates remarkable advances in increasing the performance of this new generation of photodetectors. The published performance at room temperature is even better than reported for typical photodetectors. Several articles demonstrate detectivity outperforming physical boundaries driven by background radiation and signal fluctuations. This study attempts to explain these peculiarities. In order to achieve this goal, we first clarify the fundamental differences in the photoelectric effects of the new generation of photodetectors compared to the standard designs dominating the commercial market. Photodetectors made of 2D transition metal dichalcogenides (TMDs), quantum dots, topological insulators, and perovskites are mainly considered. Their performance is compared with the fundamental limits estimated by the signal fluctuation limit (in the ultraviolet region) and the background radiation limit (in the infrared region). In the latter case, Law 19 dedicated to HgCdTe photodiodes is used as a standard reference benchmark. The causes for the performance overestimate of the different types of LDS detectors are also explained. Finally, an attempt is made to determine their place in the global market in the long term.

Mechanism-specific chemical energy accommodation with finite-rate surface chemistry in non-equilibrium flow

During atmospheric reentry, the vehicle surface is exposed to highly non-equilibrium flow. The vehicle surface can experience heterogeneous recombination of reactive atoms, which contributes to its aerothermodynamic heating. This process is followed by chemical energy accommodation (CEA), where the released energy is either transferred to the surface or the internal energy modes of the recombined molecule. Heterogeneous recombination can be categorized into Eley–Rideal (ER) and Langmuir–Hinshelwood mechanisms, which differ in their methods of molecule formation and degrees of CEA. The complete CEA assumption may not consider the dependency of CEA on the mechanisms of heterogeneous recombination. This study aims to consider the mechanism-specific CEA for a more accurate prediction of surface heat flux. The authors implement mechanism-specific CEA within the direct simulation Monte Carlo framework using the finite-rate surface chemistry model, resolving elementary surface reactions and assigning a CEA coefficient, β, to each mechanism. The model is verified through comparisons with analytical solutions of surface coverage and validated against benchmark references. A parametric investigation of rarefied hypersonic flow over a two-dimensional cylinder is conducted under different freestream Mach and Knudsen numbers. Results show a reduction in total heat flux of up to 14.44% using mechanism-specific CEA compared to the complete CEA assumption. The reduction is attributed to the relative contribution of the ER mechanism, which can be a function of atomic partial pressure at the boundary layer.

Long-Term Safety of Risankizumab in Patients with Psoriatic Disease: A Comprehensive Analysis from Clinical Trials.

Risankizumab has demonstrated a favourable safety profile in patients with psoriatic disease (moderate-to-severe psoriasis [PsO] and psoriatic arthritis [PsA]). We evaluated the long-term safety of risankizumab in psoriatic disease. Long-term safety was evaluated by analysing data from 20 (phase 1-4) clinical trials for plaque PsO and four (phase 2-3) trials for PsA. Treatment-emergent adverse events (TEAEs) and AEs in areas of special interest were reported among patients receiving ≥ 1 dose of risankizumab. Exposure-adjusted event rates were presented as events (E) per 100 patient-years (PY). The long-term safety data analyses included 3658 patients with PsO (13,329.3 PY) and 1542 patients with PsA (3803.0 PY). The median (range) treatment duration for patients with PsO and PsA was 4.1 (0.2-8.8)years and 2.8 (0.2-4.0)years, respectively. In the PsO population, rates of TEAEs, serious AEs and AEs leading to discontinuation were 145.5 E/100 PY, 7.4 E/100 PY and 1.9 E/100 PY, respectively; in the PsA population, these rates were 142.6 E/100 PY, 8.6 E/100 PY, and 1.8 E/100 PY, respectively. The rates of serious infections (excluding COVID-19-related infections) in the PsO and PsA populations were 1.2 and 1.4 E/100 PY, respectively. The rates of opportunistic infections (excluding tuberculosis and herpes zoster) were low (< 0.1 E/100 PY) in both populations. The rates of both nonmelanoma skin cancer (NMSC) and malignant tumours excluding NMSC were 0.6 and 0.5 E/100 PY in PsO and PsA, respectively, which are within the benchmarks of prior epidemiological studies. Adjudicated major cardiovascular event rates were 0.5 E/100 PY in PsO and 0.3 E/100 PY in PsA, which are within the epidemiologic reference benchmarks for both indications. No additional safety concerns were identified with this long-term exposure. The results support the favourable safety profile of risankizumab for long-term treatment of psoriatic disease with no new safety concerns and similar safety profiles among both PsO and PsA populations.

Investigating the Behaviour of Railway Track Ground Vibrations for Different Track Foundation Conditions Using FEM

High-speed trains are a useful friendly option for ground transportation. Railway-induced ground vibrations can have a severe impact on human health and the communities that surround rail lines. Current research is showing the problem and its solution as technology is advancing steadily, still, there are some misunderstandings. This is because the propagation of railway vibration in urban areas is complex. So, this work focuses on reducing vibration by enhancing the ballast, and sub-ballast qualities of the railway track through the use of insulation technologies. The Finite Element Method (FEM) model offers insight into how vibrations propagate over a railway track’s foundation. The FEM model can be used to forecast the frequency of vibrations. The Plaxis 3D model’s results show a reduction in vibration propagation. Sylomer is used as a damping material to absorb the vibration and block the propagation path. The application of damping material changes the track-bed system’s dynamic response, effectively decreasing vibration transmission to the surrounding soil. Stress on the surrounding soil and structure foundation is reduced by the process of vibration mitigation. Establishing a benchmark reference for soil parameters is crucial for the accurate analysis and prediction of ground behavior. By creating a detailed and standardized set of soil data, engineers and planners can better understand the characteristics and capabilities of the ground on which they intend to build.

Tier-specific energy benchmarking for disparate schools in developing South Africa

The increasing impacts of human-induced climate change in developing countries have spurred government policies, activism, and sustainability research aimed at reducing energy consumption. Understanding the electricity usage of buildings is crucial to cutting carbon emissions and achieving cost savings. This study addresses the challenge of establishing realistic and relevant energy benchmarks for educational institutions in developing countries, specifically focusing on the Western Cape, South Africa. Schools in this region exhibit significant differences in energy intensities but are currently assessed using the same reference standard. A top-down analysis was performed using descriptive statistics to develop energy performance benchmarks tailored to unique patterns of energy consumption in schools. Data from 31 less affluent schools were collected using smart meters to ensure accuracy. The proposed reference benchmarks, ranging from 12 to 37kWh/m2 per year, are significantly lower than the existing 60kWh/m2 per year benchmark, demonstrating substantial potential for energy savings. This nuanced benchmarking approach accounts for seasonal and term variations in energy usage, providing a more accurate comparison across schools. The research introduces a novel, context-sensitive benchmarking method that extends beyond existing standards by incorporating these variations. It underscores the importance of localized benchmarks for achieving school energy efficiency, contributing to environmental preservation and financial savings. The proposed benchmarks offer a robust framework for policymakers, standard bureaus, and education departments to craft energy efficiency policies that drive progress in the education sector. By addressing the unique energy usage patterns of schools, this approach facilitates targeted interventions, leading to improved energy management and sustainability.

Collaborative performance of CCER project concerning uncertain industrial benchmark and average sector reference points

In the framework of Chinese Certified Emission Reduction (CCER), carbon reduction projects greatly contribute to achieve the "dual carbon" targets. According to prospect theory, the collaborative performance of a CCER is greatly influenced by uncertain external reference points, such as industrial benchmark and average sector levels. This study proposes a novel method to assess the perceived collaborative performance of CCER projects concerning dual grey reference points. Specially, an aggression method is proposed to calculate the comprehensive performance of a CCER project through data standardization. According to comparison results between comprehensive performance and grey reference points, four scenarios are exploded with associated probabilities. Moreover, the perceived performance assessment of a CCER project is explored including competitive perception performance (CPP) and industry performance increment (IPI), which are generated by the comparisons to industrial benchmark and average sector references. Finally, a numerical case is conducted to demonstrate its feasibility and effectiveness. This paper contributes to (1) Aggregation process of CCER actual performance through data standardization operation; (2) Computation method for perceived collaborative performances influenced by dual grey external reference levels; (3) Feasibility analysis reflecting the evolution of the perceived collaborative performances. Policy implications can assist CCER participants in selecting relevant carbon reduction key performance indicators (KPIs), identifying suitable innovation strategies, determining appropriate benchmarks, and mitigating information uncertainty.

Extended benchmark set for lattice parameters of inorganic solids.

The development of novel methods in solid-state quantum chemistry necessitates reliable reference data sets for their assessment. The most fundamental solid-state property of interest is the crystal structure, quantified by the lattice parameters. In the last decade, several studies were conducted to assess theoretical approaches based on the agreement of calculated lattice parameters with respect to experiment as a measure. However, most of these studies used a limited number of reference systems with high symmetry. The present work offers a more comprehensive reference benchmark denoted as Sol337LC, which consists of 337 inorganic compounds with 553 symmetry-inequivalent lattice parameters, representing every element of the periodic table for atomic numbers between 1 and 86, except noble gases, the radioactive elements and lanthanoids. The reference values were taken from earlier benchmarks and from measurements at very low temperature or extrapolation to 0 K. The experimental low-temperature lattice parameters were then corrected for zero-point energy effects via the quasi-harmonic approximation for direct comparison with quantum-chemical optimized structures. A selection of standard density functional approximations was assessed for their deviations from the experimental reference data. The calculations were performed with the crystal orbital program CRYSTAL23, applying optimized atom-centered basis sets of triple-zeta plus polarization quality. The SCAN functional family and the global hybrid functional PW1PW, augmented with the D3 dispersion correction, were found to provide closest agreement with the Sol337LC reference data.

A discussion on benchmarking unconventional configurations with conventional aircraft: the box-wing study case

This article is intended to introduce an alternative approach to comparative analyses between innovative aeronautical technologies and established state-of-the-art references. Commonly, the tendency is to use a ‘like-for-like’ comparative approach with respect to current technologies -defined as reference benchmarks- that is, to evaluate the possible incremental improvements that can be achieved by introducing a specific technological innovation. However, when innovations that potentially introduce step improvements or new functions compared to the state of the art are evaluated, typically referred to as ‘breakthrough’, this approach may not be the most formally sound one, and it may introduce bias and misjudgements. In the field of aircraft design, using the same top-level requirements and figures of merit as those used for conventional aircraft to initialise and steer the design of unconventional configurations, could undermine the exploitation of their operating and functional potential. The soundness of the comparative approach is of paramount importance, especially in the very early stages of the development of disruptive technologies and unconventional aircraft configurations. In this paper, with the supporting example of the application of the box-wing configuration to medium-range transport aircraft, a general discussion is offered on the necessity of leaving aside the ‘like-for-like’ benchmark approach when investigating the potential of disruptive aircraft innovations. This argumentation does not only refer to the case study proposed as an example, but is generally extendable to aeronautical innovations that may introduce operating and functional novelties compared to current technologies.

A comparison of cryptocurrency volatility-benchmarking new and mature asset classes

The paper analyzes the cryptocurrency ecosystem at both the aggregate and individual levels to understand the factors that impact future volatility. The study uses high-frequency panel data from 2020 to 2022 to examine the relationship between several market volatility drivers, such as daily leverage, signed volatility and jumps. Several known autoregressive model specifications are estimated over different market regimes, and results are compared to equity data as a reference benchmark of a more mature asset class. The panel estimations show that the positive market returns at the high-frequency level increase price volatility, contrary to what is expected from the classical financial literature. We attributed this effect to the price dynamics over the last year of the dataset (2022) by repeating the estimation on different time spans. Moreover, the positive signed volatility and negative daily leverage positively impact the cryptocurrencies’ future volatility, unlike what emerges from the same study on a cross-section of stocks. This result signals a structural difference in a nascent cryptocurrency market that has to mature yet. Further individual-level analysis confirms the findings of the panel analysis and highlights that these effects are statistically significant and commonly shared among many components in the selected universe.

PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS CANVA PADA MATA PELAJARAN PPKn KELAS II

This research and development aims to create a valid and effective canva-based interactive learning media for Civics subjects in class II SDN Merjosari 3 Malang City. This study uses the research and development (RD) research type of the Borg and Gall model. The development procedure consists of nine steps modified from the Borg and Gall model: (1) research and data collection; (2) planning; (3) initial product development; (4) validation test; (5) product revision; (6) small group trial; (7) product revision; (8) large group trial; and (9) valid and effective products. The results of the final test with a score of 72 with an effective category can be seen from the benchmark reference assessment guidelines. These results show that canva-based interactive learning media in Civics class II subjects can be used as an effective and valid learning media.

Computing Unsatisfiable Cores for LTLf Specifications

Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a de-facto standard to produce specifications in many application domains (including planning, business process management, run-time monitoring, and reactive synthesis). Several studies have challenged the satisfiability problem thus far. In this paper, we focus instead on unsatisfiable LTLf specifications, with the objective of extracting the subset of formulae that cause inconsistencies within them, i.e., the unsatisfiable cores. We provide four algorithms to this end, which leverage the adaptation of a range of state-of-the-art algorithms to LTLf satisfiability checking. We implement those algorithms extending the respective implementations and carry out an experimental evaluation on a set of reference benchmarks, restricting to the unsatisfiable specifications. The results put in evidence that the different algorithms and tools exhibit complementary features determining their efficiency and efficacy. Indeed, our findings suggest exploring different strategies and algorithmic solutions for the extraction of unsatisfiable cores from LTLf specifications, thus confirming the challenging and multi-faceted nature of this problem.

ModelXGlue: a benchmarking framework for ML tools in MDE

AbstractThe integration of machine learning (ML) into model-driven engineering (MDE) holds the potential to enhance the efficiency of modelers and elevate the quality of modeling tools. However, a consensus is yet to be reached on which MDE tasks can derive substantial benefits from ML and how progress in these tasks should be measured. This paper introduces ModelXGlue , a dedicated benchmarking framework to empower researchers when constructing benchmarks for evaluating the application of ML to address MDE tasks. A benchmark is built by referencing datasets and ML models provided by other researchers, and by selecting an evaluation strategy and a set of metrics. ModelXGlue is designed with automation in mind and each component operates in an isolated execution environment (via Docker containers or Python environments), which allows the execution of approaches implemented with diverse technologies like Java, Python, R, etc. We used ModelXGlue to build reference benchmarks for three distinct MDE tasks: model classification, clustering, and feature name recommendation. To build the benchmarks we integrated existing third-party approaches in ModelXGlue . This shows that ModelXGlue is able to accommodate heterogeneous ML models, MDE tasks and different technological requirements. Moreover, we have obtained, for the first time, comparable results for these tasks. Altogether, it emerges that ModelXGlue is a valuable tool for advancing the understanding and evaluation of ML tools within the context of MDE.

Developing a Data Infrastructure to obtain reference values, baselines, and benchmarks for the Whole Life Carbon implementation in buildings in Spain: INDICATE project.

Developing a Data Infrastructure to obtain reference values, baselines, and benchmarks for the Whole Life Carbon implementation in buildings in Spain: INDICATE project.

Penerapan Penilaian Beracuan Patokan dan Norma pada Pelajaran Sejarah Kebudayaan Islam di Madrasah Aliyah Swasta Darul Hadits Huta Baringin

The research method chosen was qualitative, with a descriptive analysis method, because the researcher wanted to analyze based on the teacher's verbal statements from each type of daily test, Mid-Semester Examination (UTS), and Final Semester Examination (UAS). This research aims to describe the results of teacher assessments which are then analyzed and compared with the theory of learning outcomes assessment related to the Benchmark Reference Assessment Approach (PAP) and Norm Reference Assessment (PAN). In the Benchmark Assessment Approach (PAP), teachers are responsible for helping students towards achieving predetermined standards. Students are considered to have graduated if they achieve or exceed the predetermined success criteria. This approach helps teachers design improvement programs and provide consistent feedback to students. On the other hand, the Norm Referenced Assessment Approach (PAN) measures a student's abilities relative to his or her group. PAN considers the normal distribution of students' abilities and places students in certain categories such as "top", "middle", or "bottom". The use of PAN in assessing learning outcomes allows adjustments to pure National Examination scores to improve them. The differences between PAP and PAN include the assessment focus, measurement approach, and assessment objectives. Although both can be used in educational contexts, their application differs depending on the assessment needs. In assessing the results of learning the History of Islamic Culture in Madrasas, the use of PAP and PAN must be adjusted to the characteristics of the students and the learning objectives to be achieved.Top of Form

Accuracy of marine gravimetric measurements in terms of geodetic coordinates of land reference benchmark

The article presents how the values of (3D) coordinates of land reference points affect the results of gravimetric measurements made from the ship in sea areas. These measurements are the basis for 3D maritime inertial navigation, improving ships' operational safety. The campaign verifying the network absolute point coordinates used as a reference point for relative marine gravity measurements was described. The obtained values were compared with catalogue values. In verification of network points 3D position the satellite data Global Satellite Navigation System (GNSS) and ground supporting systems (GBAS) was used. In this example, the height difference of the land reference point was 0.32 m. As a consequence, the offset budget of the marine campaign was affected in the range of up to 0.35 mGal. The influence on gravity free-air anomaly was not constant over the entire area covered by the campaign.

Structure of Graphene Grown on Cu(111): X-Ray Standing Wave Measurement and Density Functional Theory Prediction.

We report the quantitative adsorption structure of pristine graphene on Cu(111) determined using the normal incidence x-ray standing wave technique. The experiments constitute an important benchmark reference for the development of density functional theory approximations able to capture long-range dispersion interactions. Electronic structure calculations based on many-body dispersion-inclusive density functional theory are able to accurately predict the absolute measure and variation of adsorption height when the coexistence of multiple moiré superstructures is considered. This provides a structural model consistent with scanning probe microscopy results.