Alternative Criteria Research Articles

Training the creation, visualization and interpretation of fault maps for the subsurface – using tectonic geomorphology

Abstract Fault mapping is essential for understanding subsurface geological structure. However, effective training of students in developing and understanding fault patterns in 3D seismic imagery is impeded by the time-investment needed to acquire competence using software and then creating depth-structure maps of stratal horizons. Here an exercise is laid out that can achieve the desired experience – using the young fault systems of Afar (Djibouti), where former land-surface-defining basalt flows are offset by arrays of normal faults. The top-basalt surface, displayed on GoogleEarth, is in effect a depth-structure map and the gaps (‘fault-loss’) in this surface approximate to exposed fault surfaces. The mapping exercise is described and illustrated here step-wise. The fault system is gradually mapped out to reveal examples of long-continuous faults, branching patterns, relaying faults and isolated fault segments. Alternative criteria for identifying faults can be examined, with analogies in seismic interpretation. This can inform discussion of the approaches and uncertainties inherent in mapping faults in the subsurface. The study may be extended to consider the pattern of early–syn-rift depositional systems. Collectively these tasks can be progressed within an hour or so, providing effective insights into the structure of normal fault systems that cannot be replicated by conventional fieldwork.

A comprehensive evaluation approach for efficient countermeasure techniques against timing side-channel attack on MPSoC-based IoT using multi-criteria decision-making methods

ContextTiming side-channel attack countermeasure techniques (TSCA-CTs) evaluation is a multi-criteria decision-making (MCDM) problem based on different MPSoCs of IoT platform architectures, performance, and design overhead. Therefore, the Fermatean by fuzzy decision opinion score method (F-FDOSM) for prioritizing the powerful countermeasure technique against timing side-channel attack is the best approach because it employs the most efficient MCDM ranking technique. Nonetheless, the FDOSM method needs to weigh the criteria before being submitted for the ranking process. In order to address this theoretical challenge, the Criteria-importance through inter-criteria correlation (CRITIC) technique can be applied as an effective MCDM weighting technique to offer an explicit weight for a set of criteria with no inconsistency based on the standard deviation, which uses correlation analysis to determine the relevance of each criterion. ObjectivesThis research proposes a Fermatean-FDOSM framework for evaluating TSCA-CTs in the context of MPSoCs-based IoT and CRITIC techniques to weight the criteria. MethodsThe methodology is presented in three phases. Firstly, a proposed countermeasure techniques dataset was collected that included seven defense approaches (e.g., Gossip and SER router) based on ten criteria (e.g., number of malicious IP cores, number of routers, power, latency… etc.). Then, the decision matrix was built based on an intersection of the countermeasure techniques as an alternative and MPSoC design and performance criteria. Then, the multi-criteria decision-making methods were integrated. The CRITIC method for criteria weighting was followed by the development of the Fermatean-FDOSM method for ranking. Results(1) CRITIC weighting shows that MPSoC NoC throughput (packet/clock) is the highest weight criterion, whereas latency (clock/cycle) is the less weight criterion. (2) The Fermatean-FDOSM-based group ranking shows that the Adaptive routing countermeasure technique is the highest score alternative compared to the Combined with separate interface hybrid approach. (3) The TSCA-CTs priority ranks were subjected to a systematic ranking that was confirmed by strong correlation results throughout ten criterion weight values. A comparison with recent studies confirmed the feasibility of the proposed framework. ConclusionThe outcomes of this study are anticipated to give particular knowledge and direction to those who want to do decision theory-based MPSoCs-based IoT and NoC communication security research.

Efficacy of gonioscopy-assisted transluminal trabeculotomy in advanced-age glaucoma patients

ContexteLa prévalence et la gravité de bon nombre d'affections glaucomateuses augmentent avec l’âge, et celles-ci doivent souvent faire l'objet d'un traitement chirurgical à un âge avancé. Or, les interventions chirurgicales chez ces sujets très âgés posent de nombreux défis à la fois physiologiques et psychosociaux, sans compter que les résultats risquent d’être mitigés. Dans le cadre de notre étude, nous avons évalué l'efficacité et l'innocuité de la trabéculotomie transluminale assistée par gonioscopie (GATT, pour gonioscopy-assisted transluminal trabeculotomy) chez des patients très âgés (> 85 ans). MéthodesIl s'agit d'une étude de cohorte rétrospective réalisée dans un seul établissement qui regroupait des patients consécutifs d'au moins 85 ans ayant subi une GATT, sans égard à l’étendue circonférentielle (90°–360°), réalisée conjointement à une chirurgie de la cataracte par phacoémulsification ou non. Le principal paramètre de mesure consistait en la proportion d'interventions réussies à 1 an conformément aux critères de « réussite complète » (pression intraoculaire [PIO] < 17 mm Hg sans collyre antiglaucomateux 3 mois après la GATT ni intervention supplémentaire). Parmi les paramètres secondaires, mentionnons la proportion d'interventions réussies selon les critères de substitution, les analyses transversales des PIO et de l'utilisation de collyres antiglaucomateux de même que les analyses des complications et des interventions postopératoires. RésultatsAinsi, 40 yeux de 31 patients ont été inclus dans l’étude. La PIO initiale moyenne se chiffrait à 16,75 ± 7,33 mm Hg, PIO qui était obtenue grâce à 1,60 ± 1,43 classe d'antiglaucomateux. Après 1 an, la survie cumulative selon l'analyse de Kaplan-Meier était de 46,6 %. Il s'est produit une baisse statistiquement significative de la PIO lors de toutes les mesures postopératoires, qui a atteint une moyenne de 11,78 ± 3,07 mm Hg lors de la dernière visite de suivi. On a observé des complications postopératoires dans 18 yeux; il s'agissait, dans la majorité des cas, d'hyphéma et d’œdème cornéen. ConclusionsNotre étude permet de conclure que la GATT est une intervention sûre et efficace pour le traitement du glaucome chez des populations âgées.

Estimates of genetic parameters for indicator traits of resistance to gastrointestinal nematodes and growth traits in Santa Inês sheep

Infections by gastrointestinal nematodes is a major problem in the sheep industry worldwide. Therefore, this study aimed: (1) to estimate genetic parameters for indicator traits of resistance to gastrointestinal nematodes such as packed cell volume (PCV), total plasma protein (TPP), color of the ocular conjunctiva by Famacha© method (FAM), and fecal egg count (FEC); (2) to estimate genetic parameters for growth traits such as body weight (BW), body condition score (BCS) and chest girth (CG); and (3) evaluate the FAM as an indicator trait of resistance to gastrointestinal nematodes in Santa Inês sheep. The dataset contained 3524 observations from 1176 animals and the pedigree presented 2011 animals. The genetic parameters were estimated by the animal model, in single- and multi-trait Bayesian analyses, using the THRGIBBS1F90 program. Stochastic Markov Chain Monte Carlo Simulation (MCMC) was used to obtain estimates of the parameters of interest, using Gibbs sampling. The a posteriori estimates were obtained with the POSTGIBBSF90 program. The sensitivity and specificity of the FAM were 66.7 % and 75.8 %, respectively. In general, the sensitivity and specificity values found herein do not invalidate the use of FAM. In the single-trait model, the heritability estimates for BW, CG, BCS, PCV, TPP, FAM, and FEC were 0.51 ± 0.02, 0.61 ± 0.03, 0.40 ± 0.04, 0.38 ± 0.03, 0.29 ± 0.03, 0.19 ± 0.05 and 0.15 ± 0.03, respectively. In the multi-trait model, the heritability observed for these traits were 0.73 ± 0.02, 0.64 ± 0.02, 0.35 ± 0.05, 0.38 ± 0.03, 0.29 ± 0.03, 0.20 ± 0.05 and 0.13 ± 0.04, respectively. Genetic correlations between growth traits (BW, BCS, and CG) were positive with high magnitude. In addition, growth traits exhibited positive genetic correlations with PCV and TPP, and negative correlations with FAM. The genetic correlation between PCV and FAM, and between FEC and BW were negative and favorable. The genetic parameters suggest that it is possible to obtain genetic gains for the evaluated traits by the response to direct selection. Unfavorable genetic correlations were not found between growth traits and indicator traits of resistance to gastrointestinal nematodes. The heritability of FAM was moderate, and genetic correlations were considered favorable between FAM and PCV. In addition, FAM is easy-to-measure and has a low cost. Therefore, FAM can be an alternative secondary selection criterion associated with body weight (main selection criterion), to increase resistance to gastrointestinal nematodes.

A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1.

Patients diagnosed with exudative neovascular age-related macular degeneration are commonly treated with anti-vascular endothelial growth factor (anti-VEGF) agents. However, response to treatment is heterogeneous, without a clinical explanation. Predicting suboptimal response at baseline will enable more efficient clinical trial designs for novel, future interventions and facilitate individualised therapies. In this multicentre study, we trained a multi-modal artificial intelligence (AI) system to identify suboptimal responders to the loading-phase of the anti-VEGF agent aflibercept from baseline characteristics. We collected clinical features and optical coherence tomography scans from 1720 eyes of 1612 patients between 2019 and 2021. We evaluated our AI system as a patient selection method by emulating hypothetical clinical trials of different sizes based on our test set. Our method detected up to 57.6% more suboptimal responders than random selection, and up to 24.2% more than any alternative selection criteria tested. Applying this method to the entry process of candidates into randomised controlled trials may contribute to the success of such trials and further inform personalised care.

Electrical Properties and Lifetime Prediction of an Epoxy Composite Insulation Material after Hygrothermal Aging.

In this study, we conducted the hygrothermal aging of an epoxy composite insulation material at 95% relative humidity (RH) and temperatures of 95 °C, 85 °C, and 75 °C. We measured electrical properties, including volume resistivity, electrical permittivity, dielectric loss, and breakdown strength. It was found to be impossible to estimate a lifetime based on the IEC 60216 standard, because it uses breakdown strength as its criterion even though breakdown strength hardly changes in response to hygrothermal aging. In analyzing variations in dielectric loss with aging time, we found that significant increases in dielectric loss correlated well with lifetime prediction based on the mechanical strength of the material, as described in the IEC 60216 standard. Accordingly, we propose an alternative lifetime prediction criterion by which a material is deemed to reach its end of life when its dielectric loss reaches 3 and 6-8 times the unaged value at 50 Hz and low frequencies, respectively.

Outsourcing or in-house manufacturing in Hi-tech industry: supply chain process with Delphi-AHP approach

PurposeTechnological advancements have benefited businesses all over the world in how they set up production lines, create new products/services and trade goods. Multinational corporations can communicate instantly with their distant operations by utilizing information technology tools and communication networks. Businesses have taken a significant shift and new factors have emerged which affect company's competitiveness. In case of resorting to an outsourcing option, a comprehensive approach for valuing the essential criteria is often missing. While specifically focusing on the decisions that have a huge impact on company's performance, it is crucial to pay close attention to the ways of selecting suppliers. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities.Design/methodology/approachThe current research utilizes the Delphi technique for collection of vital criteria such as “quality”, “cost”, “delivery”, “warranties and claims”, “supplier profile”, “relationship and communication” and their respective sub-criteria. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities. In this regard, Analytical Hierarchy Process (AHP) technique is employed.FindingsThe current research enlightens that outsourcing can yield promising beneficial results. The results highlighted that in Hi-tech public sector organizations, international alternative is found best in almost all criteria especially in vital criteria such as “Quality”, “Cost”, “Delivery”, “Supplier Profile,” etc. Similarly, in case the outsourcing is done to a Domestic alternative, still the Domestic alternative is found effective in comparison to in-house manufacturing setups. The research showed unexpected results. Because previously it was assumed that in-house manufacturing would be more beneficial. However, the current findings support the “NASA” strategy which moved toward outsourcing to private sector.Research limitations/implicationsLimitations of the proposed methodology also produce opportunities for further exploration of the topic. One key limitation of the research described in this study is that the parameters and their sub-parameters interdependency were not taken under consideration. This means that quality and cost are not dependent upon each other. However, in reality quality and cost are interlinked. This means if quality is increased, cost is also increased. Similarly, for products having zero percent of re-claim, the product would have to be manufactured with high quality.Practical implicationsThe study is advantageous for both suppliers and purchasers, in any type of businesses where decision-making problem are under consideration. This model aids suppliers in revealing, how they can expand their profile, by focusing on the current research's selection criteria. In this way alternatives profile can now be perfected. Moreover, buyers can now rank suppliers on their quality management, financial status and other essential factors in order to conduct purchasing decisions. For the decision maker, the results illustrate which critical factors to evaluate when screening suppliers by applying current model techniques.Social implicationsIt is obvious that nearly almost every industry is forced to look for alternatives for all of its operations if outsourcing is an option. The study's findings have major benefits for all industries with an important role in manufacturing and supply chain operations. These objectives will serve the industries well and they will be able to prioritize their alternative selection criteria based on their operations. The findings of this study can assist any organization in their selection of vendors by providing a more detailed explanation of the impact that various criteria have on the decision-making process.Originality/valueTo the best of authors' knowledge, no previous study has used two approaches (AHP and Delphi study) to propose a model for making manufacturing decisions with domestic, in house and international alternatives in Hi-tech public sector organizations. The model not only benefits the manufacturers for choosing suitable suppliers but also aids suppliers to build their profile in an improved fashion by focusing on the vital attributes. This research benefits managers to improve their ability to make effective purchasing decisions, and also opens new avenues for researchers to further explore such findings in other areas as well.

Deterministic algorithms for the Lovász local lemma: Simpler, more general, and more parallel

AbstractThe Lovász local lemma (LLL) is a keystone principle in probability theory, guaranteeing the existence of configurations which avoid a collection of “bad” events which are mostly independent and have low probability. A seminal algorithm of Moser and Tardos (J. ACM, 2010, 57, 11) (which we call the MT algorithm) gives nearly‐automatic randomized algorithms for most constructions based on the LLL. However, deterministic algorithms have lagged behind. We address three specific shortcomings of the prior deterministic algorithms. First, our algorithm applies to the LLL criterion of Shearer (Combinatorica, 1985, 5, 241–245); this is more powerful than alternate LLL criteria and also leads to cleaner and more legible bounds. Second, we provide parallel algorithms with much greater flexibility. Third, we provide a derandomized version of the MT‐distribution, that is, the distribution of the variables at the termination of the MT algorithm. We show applications to non‐repetitive vertex coloring, independent transversals, strong coloring, and other problems.

Nonsize Criteria for Surgical Intervention on the Ascending Thoracic Aorta.

For decades, aortic surgery has relied on size criteria for intervention on the ascending aorta. While diameter has served well, diameter alone falls short of an ideal criterion. Herein, we examine the potential application of other, nondiameter criteria in aortic decision-making. These findings are summarized in this review. We have conducted multiple investigations of specific alternate nonsize criteria by leveraging our extensive database, which includes complete, verified anatomic, clinical, and mortality data on 2,501 patients with thoracic aortic aneurysm (TAA) and dissections (198 Type A, 201 Type B, and 2102 TAAs). We examined 14 potential intervention criteria. Each substudy had its own specific methodology, reported individually in the literature. The overall findings of these studies are presented here, with a special emphasis on how the findings can be incorporated into enhanced aortic decision-making-above and beyond sheer diameter. The following nondiameter criteria have been found useful in decision-making regarding surgical intervention. (1) Pain: In the absence of other specific cause, substernal chest pain mandates surgery. Well-developed afferent neural pathways carry warning signals to the brain. (2) Aortic length/tortuosity: Length is emerging as a mildly better predictor of impending events than diameter. (3) Genes: Specific genetic aberrations provide a powerful predictor of aortic behavior; malignant genetic variants obligate earlier surgery. (4) Family history: Aortic events closely follow those in relatives with a threefold increase in likelihood of aortic dissection for other family members once an index family dissection has occurred. (5) Bicuspid aortic valve: Previously thought to increase aortic risk (as a "Marfan light" situation), current data show that bicuspid valve is not a predictor of higher risk. (6) Diabetes actually protects against aortic events, via mural thickening and fibrosis. (7) Biomarkers: A specialized "RNA signature test" identifies aneurysm-bearing patients in the general population and promises to predict impending dissection. (8) Aortic stress: Blood pressure (BP) elevation from anxiety/exertion precipitates dissection, especially with high-intensity weightlifting. (9) Root dilatation imposes higher dissection risk than supracoronary ascending aneurysm. (10) Inflammation on positron emission tomography (PET) imaging implies high rupture risk and merits surgical intervention. (11) A KIF6 p.Trp719Arg variant elevates aortic dissection risk nearly two-fold. (12) Female sex confers some increased risk, which can be largely accommodated by using body-size-based nomograms (especially height nomograms). (13) Fluoroquinolones predispose to catastrophic dissection events and should be avoided rigorously in aneurysm patients. (14) Advancing age makes the aorta more vulnerable, increasing likelihood of dissection. In conclusion, nondiameter criteria can beneficially be brought to bear on the decision to observe or operate on specific TAA.

Reconciling Algorithmic Fairness Criteria

Reconciling Algorithmic Fairness Criteria

Screening for Prediabetes and Diabetes: Clinical Performance and Implications for Health Equity

In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended prediabetes and diabetes screening for asymptomatic adults aged 35-70 years with overweight/obesity, lowering the age from 40 years in its 2015 recommendation. The USPSTF suggested considering earlier screening in racial and ethnic groups with high diabetes risk at younger ages or lower BMI. This study examined the clinical performance of these USPSTF screening recommendations as well as alternative age and BMI cutoffs in the U.S. adult population overall, and separately by race and ethnicity. Nationally representative data were collected from 3,243 nonpregnant adults without diagnosed diabetes in January 2017-March 2020 and analyzed from 2021 to 2022. Screening eligibility was based on age and measured BMI. Collectively, prediabetes and undiagnosed diabetes were defined by fasting plasma glucose ≥100 mg/dL or hemoglobin A1c ≥5.7%. The sensitivity, specificity, and predictive values of alternate screening criteria were examined overall, and by race and ethnicity. The 2021 criteria exhibited marginally higher sensitivity (58.6%, 95% CI=55.5, 61.6 vs 52.9%, 95% CI=49.7, 56.0) and lower specificity (69.3%, 95% CI=65.7, 72.2 vs 76.4%, 95% CI=73.3, 79.2) than the 2015 criteria overall, and within each racial and ethnic group. Screening at lower age and BMI thresholds resulted in even greater sensitivity and lower specificity, especially among Hispanic, non-Hispanic Black, and Asian adults. Screening all adults aged 35-70 years regardless of BMI yielded the most equitable performance across all racial and ethnic groups. The 2021 USPSTF screening criteria will identify more adults with prediabetes and diabetes in all racial and ethnic groups than the 2015 criteria. Screening all adults aged 35-70 years exhibited even higher sensitivity and performed most similarly by race and ethnicity, which may further improve early detection of prediabetes and diabetes in diverse populations.

Effects of data sources and biological criteria on length-at-maturity estimates and spawning periodicity of the commercially important Hawaiian snapper, Etelis coruscans

Reproductive characteristics of a fish stock provide important tools for assessing population health. Change in length-at-maturity (L50) is a potential indicator of exploited fish populations but when criteria for determining maturity classifications are inconsistent, it is difficult to accurately assess change over time and space. Etelis coruscans is a commercially important eteline snapper found throughout the Indo-Pacific, but its region-specific reproductive information in the main Hawaiian Islands (MHI) is sparse. The present study describes length-specific (fork length: FL) female reproductive characteristics of this deep water snapper in the context of a data-limited fishery. We explored the use of six maturity classification criteria based on a functionally mature (containing vitellogenic oocytes and capable of spawning within the season of collection) or physiologically mature (gonadotropin-dependent maturation initiation) designation combined with seasonality and inclusion of additional reproductive phases. Of these classifications, the largest and therefore most conservative estimate was for functional maturity during the spawning period, September-December (L50F = 65.8 cm). Progressively smaller L50 estimates occurred as we incorporated additional reproductive phases and seasonality, the smallest being for physiological maturity during the entire year (L50PY = 50.0 cm). Both functional and physiological maturity criteria are valid for estimating L50 but can yield drastically different parameter estimates based on the definition of mature or immature reproductive phases. Fish that are relatively slow growing, late to mature, and whose fisheries encompass a wide size range, such as E. coruscans, may be more subject to unreliability in the development of their reproductive indicators (length-at-maturity and spawning period) when inconsistent maturity classification criteria are executed over time. We discuss the reproductive characteristics of E. coruscans in the MHI, the use of alternative maturity classification criteria in L50 estimation, the impact on resultant parameters estimates, and the life history implications for the future fishery.

Lensing or luck? False alarm probabilities for gravitational lensing of gravitational waves

Strong gravitational lensing of gravitational waves (GWs) has been forecasted to become detectable in the upcoming LIGO/Virgo/KAGRA observing runs. However, definitively distinguishing pairs of lensed sources from random associations is a challenging problem. We investigate the degree to which unlensed events mimic lensed ones because of the overlap of parameters due to a combination of random coincidence and errors in parameter estimation. Lensed events are expected to have consistent masses and sky locations, and constrained relative phases, but may have differing apparent distances due to lensing magnification. We construct a mock catalog of lensed and unlensed events. We find that the probability of a false alarm based on coincidental overlaps of the chirp mass, sky location, and coalescence phase are approximately 9%, 1%, and 10% per pair, respectively. Combining all three parameters, we arrive at an overall false alarm probability per pair of $\ensuremath{\sim}{10}^{\ensuremath{-}4}$. We validate our results against the GWTC-2 data, finding that the catalog data is consistent with our simulations. As the number of events, $N$, in the GW catalogs increases, the number of random pairs of events increases as $\ensuremath{\sim}{N}^{2}$. Meanwhile, the number of lensed events will increase linearly with $N$, implying that, for sufficiently high $N$, the false alarms will always dominate over the true lensing events. This issue can be compensated for by placing higher thresholds on the lensing candidates (e.g., selecting a higher signal-to-noise ratio (SNR) threshold, ${\ensuremath{\rho}}_{\mathrm{thr}}$), which will lead to better parameter estimation and, thus, lower false alarm probabilities per pair---at the cost of dramatically decreasing the size of the lensing sample ($\ensuremath{\propto}{\ensuremath{\rho}}_{\mathrm{thr}}^{\ensuremath{-}3}$). We show that with our simple overlap criteria for current detectors at design sensitivity, the false alarms will dominate for realistic lensing rates ($\ensuremath{\lesssim}{10}^{\ensuremath{-}3}$) even when selecting the highest SNR pairs. These results highlight the necessity to design alternative identification criteria beyond simple waveform and sky location overlap for conclusive detection of strong lensing. Future GW detectors such as Cosmic Explorer and Einstein Telescope may provide sufficient improvement in parameter estimation and a commensurate decrease in the incidence of coincidental overlap of parameters, allowing for the conclusive detection of strong lensing of GWs even without additional detection criteria.

Generalized total internal reflection at dynamic interfaces

Recent research developments in the area of spacetime metamaterial structures and systems have raised new questions as to how the physics of fundamental phenomena is altered in the presence of spacetime modulation. In this context, we present a generalized and comparative description of the phenomenon of total internal reflection (TIR) at different dynamic interfaces. Such interfaces include, beyond the classical interfaces corresponding to the boundaries of moving bodies (moving interface--moving matter systems), interfaces formed by a traveling-wave step modulation of an electromagnetic parameter (e.g., refractive index) (moving interface--stationary matter systems) and fixed interfaces between moving-matter media (stationary interface--moving matter systems). We first resolve the problem using the evanescence of the transmitted wave as the criterion for TIR and applying the conventional technique of relative frame hopping (between the laboratory and rest frames), which results in closed-form formulas for the relevant critical (incidence, reflection, phase refraction, and power refraction) angles. We then introduce the concept of catch-up limit between the dynamic interface and the transmitted wave as an alternative criterion for the critical angle. We use this approach both to analytically verify the critical angle formulas, further validated by full-wave (FDTD) analysis, and to explain the related physics, using Fresnel-Fizeau drag and spacetime frequency transition considerations. These results might find various applications in ultrafast optics, gravity analogs, and quantum processing.

I-MEREC-T: Improved MEREC-TOPSIS scheme for optimal network selection in 5G heterogeneous network for IoT

The Internet of Things (IoT) requires seamless mobility and services with low power consumption, low packet loss ratio, ultra-low latency, and high reliability. Ultra-dense deployment of small coverage radio access networks improves network throughput, latency, and packet loss ratio but increases the frequency of vertical handovers. Optimal network selection to ensure ultra-reliable, low-latency, seamless connectivity to provide massive machine-type communication to support a wide range of services for the emergence of IoT and Industry 5.0 through the next generation heterogeneous networks is one of the most challenging fields of research. The best network selection is one of the most crucial phases of the vertical handover decision algorithm in an ultra-dense heterogeneous network. Inadequate network selection can lead to failed handovers and ping pong handovers, which drastically affect the quality of services and the quality of experience. In this article, we have developed a new improved method based on improved removal effects of criteria- technique for order performance by similarity to ideal solution (I-MEREC-TOPSIS) network selection scheme. It is based on the removal effect of alternatives’ attributes. It is an intelligent integration of the I-MEREC weight method of alternative criteria and the TOPSIS alternative ranking multi-attribute decision-making technique. In the proposed scheme, optimal network selection is not only dependent on the best performance score of candidate networks but also on the statistically defined threshold value of servicing and target networks. In comparison to CRiteria Importance Through Intercriteria Correlation (CRITIC) TOPSIS, Entropy-TOPSIS, Statistical Variance Procedure(SVP) TOPSIS, and MEREC-TOPSIS, the proposed scheme has reduced ping-pong handovers and handover failures.

Alternative classifications of mechanisms producing annual maximum wind gusts in Resistencia and Corrientes, Argentina

Assessment methods for wind loads on buildings and civil structures require the statistical processing of extreme wind speeds. If the wind climate is mixed, there is ample consensus that statistical models appropriate for mixed climate must be applied. This is not always possible because most of the models in use entail separating wind speeds according to the meteorological mechanism causing it. As classification of wind speed records is an expensive task, quantitative information on this subject is scarce.Here, annual maximum wind gusts recorded in the meteorological stations of the Resistencia and Corrientes airports, Argentina, are classified according to the mechanisms that produced them. Three alternative separation criteria were applied: (i) thunderstorm vs. other mechanism; (ii) synoptic vs. non-synoptic; and (iii) convective storms vs. those that were associated with the passage of a cold front. The available data sets were the Daily Registers of the stations from 1968 to 2016. The data series were conditioned to generate a single superstation series. The results show that the annual maximum gust produced by thunderstorms has an occurrence of 97.2% compared to other mechanisms; 93.1% correspond to non-synoptic wind; and 62.5% were classified as convection not associated with the passage of a cold front. It is concluded that Corrientes and Resistencia are not subject to mixed extreme wind climate, that is, the maximum annual gust is due to a simple wind climate corresponding to intense convective activity.

Severe testing of Benford’s law

Benford’s law is often used to support critical decisions related to data quality or the presence of data manipulations or even fraud in large datasets. However, many authors argue that conventional statistical tests will reject the null of data “Benford-ness” if applied in samples of the typical size in this kind of applications, even in the presence of tiny and practically unimportant deviations from Benford’s law. Therefore, they suggest using alternative criteria that, however, lack solid statistical foundations. This paper contributes to the debate on the “large n” (or “excess power”) problem in the context of Benford’s law testing. This issue is discussed in relation with the notion of severity testing for goodness-of-fit tests, with a specific focus on tests for conformity with Benford’s law. To do so, we also derive the asymptotic distribution of the mean absolute deviation (MAD) statistic as well as an asymptotic standard normal test. Finally, the severity testing principle is applied to six controversial large datasets to assess their “Benford-ness”.

Penerapan Metode MOORA dan ROC Dalam Penerimaan Siswa Baru

Acceptance of new students is part of the administrative process of admitting new students to the next educational level. This procedure is usually carried out every year. SMP A is a junior high school that always applies the procedure for admitting new students every year. The problem with admitting new students is the high number of students enrolled, making it difficult for the committee to select prospective students who are eligible and who are not eligible to enroll in SMP A. It is necessary to use a decision support system to solve various unstructured and semi-structured problems. This study aims to design a decision support system for implementing new student admissions using the Moora and Roc method for making decisions in new student admissions. After calculating the best alternative, it was found that Darma Situmorang was ranked first with a Yi value of 0.4565, while Dian Yunita Nababan with alternative A3 was ranked second with a Yi value of 0.4417. In the decision-making process, there are several methods to choose from, but in this study, the MOORA method was chosen because of its ability to better compare the criteria of each different alternative

Penerapan Metode MAUT Dalam Sistem Pendukung Keputusan Pemberian Bantuan Jasa Pada Kelurahan

Aid is a program designed to help people who need it because they are in some kind of difficulty in ringing in their bebans. On this basis, a bantuan could consist of knowledge, a building, a piece of property, and even money or other benefits related to a previously granted jasa. Pengambilan keputusan adalah memilih a few available backup plans in order to accomplish one or a few previously set goals. According to McLeod, the keputus system is a particular system that is based on structure and uses data and a model.computer that produces a variety of alternative ideas for use by managers to assist them in handling a variety of problems that are poorly structured or not at allBased on the evaluation of alternative data and criteria using the Maut method, the model can be applied to four alternative data with the highest level of preferred outcome as shown below. : A7 Patience baringin manurung with a score of 0.733 A1 on behalf of Martumpal p hutajulu with a score of 0.465, A5 on behalf of pineeria simanungkalit with a score of 0.365, A3 on behalf of Janter lubis with a score of 0.344. So the MAUT (Multi Attribute Utility Theory) method can be used in solve the problem of selecting church officials who are eligible to receive merit assistance

The Role of Serum Anti-Mullerian Hormone Measurement in the Diagnosis of Polycystic Ovary Syndrome.

Polycystic ovary syndrome (PCOS) is a common endocrinological disorder in women with significant reproductive, metabolic, and psychological health implications. The lack of a specific diagnostic test poses challenges in making the diagnosis of PCOS, resulting in underdiagnosis and undertreatment. Anti-Mullerian hormone (AMH) synthesized by the pre-antral and small antral ovarian follicles appears to play an important role in the pathophysiology of PCOS, and serum AMH levels are often elevated in women with PCOS. The aim of this review is to inform the possibility of utilizing anti-Mullerian hormone either as a diagnostic test for PCOS or as an alternative diagnostic criterion in place of polycystic ovarian morphology, hyperandrogenism, and oligo-anovulation. Increased levels of serum AMH correlate highly with PCOS, polycystic ovarian morphology, hyperandrogenism, and oligo/amenorrhea. Additionally, serum AMH has high diagnostic accuracy as an isolated marker for PCOS or as a replacement for polycystic ovarian morphology.