Simulation Of Distribution Research Articles

A Comparison Study of Goodness of Fit Tests of Logistic Regression in R: Simulation and Application to Breast Cancer Data

Goodness of fit (GOF) tests of logistic regression attempt to find out the suitability of the model to the data. The null hypothesis of all GOF tests is the model fit. R as a free software package has many GOF tests in different packages. A Monte Carlo simulation has been conducted to study two situations; the first, studying the ability of each test, under its default settings, to accept the null hypothesis when the model truly fitted. The second, studying the power of these tests when assumptions of sufficient linear combination of the explanatory variables are violated (by omitting linear covariate term, quadratic term, or interaction term). Moreover, checking whether the same test in different R packages had the same results or not. As the sample size supposed to affect simulation results, so the pattern of change of GOF tests results under different sample sizes as well as different model settings was estimated. All tests accept the null hypothesis (more than 95% of simulation trials) when the model truly fitted except modified Hosmer-Lemeshow test in "LogisticDx" package under all different model settings and Osius and Rojek’s (OsRo) test when the true model had an interaction term between binary and categorical covariates. In addition, le Cessie-van Houwelingen-Copas-Hosmer unweighted sum of squares (CHCH) test gave unexpected different results under different packages. Concerning the power study, all tests had a very low power when a departure of missing covariate existed. Generally, stukel’s test (package ’LogisticDX) and CHCH test (package "RMS") reached a power in detecting a missing quadratic term greater than 80% under lower sample size while OsRo test (package ’LogisticDX’) was better in detecting missing interaction term. Beside the simulation study, we evaluated the performance of GOF tests using the breast cancer dataset.

FUNCTIONAL TEST AUTOMATION SYSTEM FOR UNITY APPLICATIONS

The tool for automatically executing and validating test sets of actions is not native to applications, which causes problems with recognizing interaction elements due to the abundance or, conversely, lack of GUI elements. This work describes the design and development of an internal tool that provides accurate recognition of interaction elements by decorating the input reading mechanisms of the Unity game engine. Previously, there were no solutions for Unity to automate success tests, testing the main flow of a use case, or other approaches for functional testing of applications, except through the mechanisms of the standard unit testing package. However, no matter how good the approach of using unit testing tools is, in order to cover all possible scenarios of actions within the project, you would have to either write your own test module for each of the aspects, or implement a complex universal system on its basis. The article's graceful workaround for the technical limitation of the standard Input class dramatically reduces the time required for the application testing phase. In addition to solving testing problems, such a form of recording user actions in a virtual environment can be used to generate training simulator scenarios, which will help to avoid the routine work of generating training tracks. So, immersion in a virtual biotechnology laboratory of an expert who can correctly pass all phases of the selected analysis (for example, ELISA) is enough to record the checkpoints of such a scenario for teaching students.

The effectiveness of the Montessori training programme for mothers

It was the aim of this study to follow-up for 2 years the mathematics and daily living skills of children whose mothers participated in the Montessori training programme for mothers (MTPM) and to determine whether the children still maintained these skills 2 years after the intervention. In 2016–2017, the MTPM was administered to the mothers of 4–5-year-old children who received Montessori education at preschool. The first follow-up was carried out 6 months after the training programme was completed; the second follow-up took place 6 months after the first follow-up and the third one was carried out12 months after the second follow-up. Eleven children included in the study group in the 2016–2017 school year were all reached. ‘Basic School Skills Inventory 3 – Mathematics and Daily Living Skills subtests – Age 4–8 years’ were used for data collection. The data were provided by the teachers. Statistical analysis of the data was carried out using Wilcoxon’s signed-rank test and Statistical Package for the Social Sciences 20.0 data analysis package programme. The results showed that the MTPM maintained its effect on mathematics and daily living skills of the experimental group children 24 months after the implementation of the programme.
 
 Keywords: Montessori training programme for mothers, mathematics, daily living skills.

Impact of Flipped Classroom on Mathematics Learning Outcome of Senior Secondary School Students in Lagos, Nigeria

This study examined the impact of the flipped classroom on the learning outcome of secondary school students in mathematics in Lagos, Nigeria. It examined the impact of a flipped classroom package (FCP) on post-test performance (PP) and retention performance (RP) of students in Mathematics; it also sought to determine the influence of gender on PP and RP of students towards learning mathematics in the flipped classroom (FC). This is in response to the search for means to reverse the poor performance of students in mathematics O’level West African Secondary School Certificate Examinations. The flipped classroom, an innovative teaching technique, was introduced as a possible corrective that could produce effective student learning engagement and performance. A Quasi-experimental design was adopted and 275 Senior secondary school (SSS) 2 Students, 147experimental and 128 as control (conventional) intact classes, constituted the purposive sampled population for the study. Three research instruments: Flipped Classroom Package, Lesson Note and Performance Test were validated by expects and used for the study. The instruments were also checked for reliability; and the inter-rater reliability coefficient of a developed FC package was 0.79; lesson note, 0.83; and test instrument 0.85. Four hypotheses were raised and tested after 6 weeks of the experiment. The results of the findings indicated that the flipped classroom encourages good performance in mathematics and should, thus, be encouraged in schools for being a student centred learning approach. The study concluses among others that teachers should be encouraged to attend seminars and workshops on the use of the approach for effective performance of the learners.

A generative adversarial network-based (GAN-based) architecture for automatic fiducial marker detection in prostate MRI-only radiotherapy simulation images.

Clinical sites utilizing magnetic resonance imaging (MRI)-only simulation for prostate radiotherapy planning typically use fiducial markers for pretreatment patient positioning and alignment. Fiducial markers appear as small signal voids in MRI images and are often difficult to discern. Existing clinical methods for fiducial marker localization require multiple MRI sequences and/or manual interaction and specialized expertise. In this study, we develop a robust method for automatic fiducial marker detection in prostate MRI simulation images and quantify the pretreatment alignment accuracy using automatically detected fiducial markers in MRI. In this study, a deep learning-based algorithm was used to convert MRI images into labeled fiducial marker volumes. Seventy-seven prostate cancer patients who received marker implantation prior to MRI and CT simulation imaging were selected for this study. Multiple-Echo T1 -VIBE MRI images were acquired, and images were stratified (at the patient level) based on the presence of intraprostatic calcifications. Ground truth (GT) contours were defined by an expert on MRI using CT images. Training was done using the pix2pix generative adversarial network (GAN) image-to-image translation package and model testing was done using fivefold cross validation. For performance comparison, an experienced medical dosimetrist and a medical physicist each manually contoured fiducial markers in MRI images. The percent of correct detections and F1 classification scores are reported for markers detected using the automatic detection algorithm and human observers. The patient positioning errors were quantified by calculating the target registration errors (TREs) from fiducial marker driven rigid registration between MRI and CBCT images. Target registration errors were quantified for fiducial marker contours defined on MRI by the automatic detection algorithm and the two expert human observers. Ninety-six percent of implanted fiducial markers were correctly identified using the automatic detection algorithm. Two expert raters correctly identified 97% and 96% of fiducial markers, respectively. The F1 classification score was 0.68, 0.75, and 0.72 for the automatic detection algorithm and two human raters, respectively. The main source of false discoveries was intraprostatic calcifications. The mean TRE differences between alignments from automatic detection algorithm and human detected markers and GT were <1mm. We have developed a deep learning-based approach to automatically detect fiducial markers in MRI-only simulation images in a clinically representative patient cohort. The automatic detection algorithm-predicted markers can allow for patient setup with similar accuracy to independent human observers.

Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study

Probe card that serves as the carrier of die and the transmitter of information is an indispensable test interface for integrated circuit testing. The probe card extracts the electrical signal of chip and sends it to the prober to screen defectives. In the process of interface transmission, signal disturbance or attenuation will lead to functional errors, and the output result will be different from the expected one to the screen of selected known good dies for integrated circuit packaging and final test. If abnormal situations happen with probe cards, the engineers will eliminate potential fault causes by trial and error method according to domain knowledge and personal experience for troubleshooting. As semiconductor industry is continuously migrating with shrinking feature size, the diagnosing and troubleshooting procedure for probe card is exponentially complicated and time-consuming. To enhance data integrity of circuit probe testing, this study aims to develop a Bayesian network for probe card fault diagnosis and troubleshooting via the integrated data-driven solutions considering potential rules derived from domain knowledge and manufacturing big data to empower Industry 3.5 smart production. An empirical study is conducted in a leading semiconductor testing company for validation. The experiment results show that the proposed approach can improve one-shot probability from 0.13 to 0.36 to improve one-shot success chance in troubleshooting process. The expected shooting times for probe faults have been reduced from 11 times to 3.96 times on average to save 63.97% of fault troubleshooting efforts in testing process. The proposed approach can provide effective suggestions to shorten troubleshooting time for yield improvement and subsequent packaging cost reduction to empower flexible decision-making for smart production. The results have shown practical viability of proposed approach for Industry 3.5. Indeed, the developed solutions have been implemented in real settings.

MSCquartets 1.0: quartet methods for species trees and networks under the multispecies coalescent model in R.

MSCquartets is an R package for species tree hypothesis testing, inference of species trees and inference of species networks under the Multispecies Coalescent model of incomplete lineage sorting and its network analog. Input for these analyses are collections of metric or topological locus trees which are then summarized by the quartets displayed on them. Results of hypothesis tests at user-supplied levels are displayed in a simplex plot by color-coded points. The package implements the QDC and WQDC algorithms for topological and metric species tree inference, and the NANUQ algorithm for level-1 topological species network inference, all of which give statistically consistent estimators under the model. MSCquartets is available through the Comprehensive R Archive Network: https://CRAN.R-project.org/package=MSCquartets.

ETNOMATEMATIKA PADA AKTIVITAS PEMBUATAN BATIK MOTIF TEMBAKAU DI RUMAH PRODUKSI BATIK NHORA PENGESTU AMBULU SEBAGAI BAHAN PAKET SOAL TES

Ethnomatematics is the science of mathematics practiced by a cultural group where the society has unconsciously applied the concept of mathematics. The purpose of this study is to describe ethnomatemics in the activity of making tobacco motifs and to produce test packages. This type of research is a qualitative research with an ethnographic approach. There are three subjects in this study, S1 as the maker of patterns / designs, color locking, and "nglorod", S2 as a dyeing and coloring, and S3 as the maker of batik cap. Data collection methods used are observation, interviews, and documentation. This research is focused on the tobacco making batik activity. The results of this study indicate the existence of ethnomatematics which includes activities: counting, measuring, and designing. Ethnomatematics in this study was made as a test package in the form of descriptive questions for even ninth grade students.

Comprehensive Analysis of the Relationships Between Tumor Mutation Burden With Immune Infiltrates in Cervical Cell Carcinoma.

We aimed to investigate the prognosis of tumor mutation burden (TMB) in cervical cell carcinoma (CCC) and its potential association with tumor-infiltrating immune cells. The data from TCGA were analyzed, and higher TMB levels conferred high overall survival time, associated with higher T staging (p = 0.006) and older age (p = 2.961e−04). Through “CIBERSORT” package and Wilcoxon rank-sum test, the high TMB group exhibited higher levels of infiltration of T cell CD8 (p = 0.008), T cell CD4 memory activation (p = 0.006), T cell follicular assistance (p = 0.018), and Macrophage M1 (p = 0.037). In addition, 478 TMB-associated differentially expressed genes were identified, and two hub TMB-associated immune genes were identified, including CLEC3B and COL4A2. The TMB prognostic model (TMBPM) based on two hub immune genes showed robust prognostic capability in both training set and testing sets, and the higher the TMBPM score, the worse the prognosis. Finally, survival time was higher for high CLEC3B expression levels (p = 0.038) and lower for high COL4A2 expression levels (p = 0.033). Notably, there is an association between the expression of these two genes and immune infiltration in CCC. CLEC3B expression was most significantly positively correlated with B cells, CD4+ T cells, and Macrophage infiltration. COL4A2 expression was most significantly positively correlated with the presence of Macrophage and Dendritic cell infiltration. In addition, we observed that CLEC3B and COL4A carry mutations in multiple forms that normally suppress immune infiltration, including B cells, CD8+ T cells, and Macrophages.

Convergent use of neural network information technologies for monitoring and evaluating the performance of digital control operators of situational centers at critical infrastructure facilities

In the technology under consideration is proposed the convergent adaptation of neuro-monitoring testing services and packages of intelligent information coming to an individual by neuro-monitoring readout of the interests, emotions and mood of the observed standardized conditional operator with the measuring of workload exposed on the main sensor perceptional channels of a concrete digital management operator within smart community, meta-program and others. There are formed the conditions for the provision of a human with information taking into account the characteristics of the individual intelligence structure: its unity, integrity, and systematization within the behavioral model aimed at the duty performance. At the same time the information packages are formed in an automated way correlating with his personal socio-political position and attitude to the policy of the agents of control of smart-community segments with the future forecast of the possible deviant expressions in the network.

Vitamin D related knowledge, attitudes and behaviors among ethnic minority women

Abstract Background Vitamin D (VD) deficiency may increase the risk of developing nutritional rickets, metabolic, autoimmune, infectious, cardiovascular and mental disorders. VD status in reproductive age is of special importance, as it may determine health outcomes not only for women but also for their offspring. Danish health authorities recommend VD supplementation for groups at risk of VD deficiency. In Nordic countries, persistent high prevalence of VD deficiency among non-Western ethnic minority women suggests that health information may not reach the population in need. Aim to assess VD related knowledge, attitudes and behaviors among non-Western ethnic minority women living in Denmark in 2019. Methods A validated VD knowledge, attitudes and behaviors questionnaire was translated into Danish, piloted and distributed via relevant Facebook groups using online SurveyXact platform. The responses were analyzed with SPSS statistical package, using both parametric and non-parametric tests for bivariate analyses. Results 254 women who considered themselves having a non-Western ethnic minority background answered the questionnaire. Median age (IQR) was 26 (23-33) year old; 81 (39%) had professional, 71 (28%) high school and 56 (22%) university education. Age was associated with VD nutrition knowledge (p = 0.048) and VD behaviors (p = 0.026): older women had better knowledge about VD rich nutrition and reported more VD friendly behavior. Education was associated with both VD general (p = 0.034) and VD nutrition (p = 0.034) knowledge. Women with university education had better knowledge about VD generally, and women with professional education had better knowledge about VD rich nutrition. Conclusions Aged and education were associated with VD related knowledge and behaviors in young women with non-Western ethnic minority women. Further examining of VD related knowledge and behaviors focusing among less populations is warranted. Key messages Education was associated with both vitamin D general (p = 0.034) and vitamin D nutrition (p = 0.034) knowledge. Aged and education were associated with vitamin D related knowledge and behaviors in young women with non-Western ethnic minority women.

Influência da embalagem na intenção de compra do consumidor de suco de laranja industrializado

Objetivo: avaliar a influência da embalagem na aceitação de suco de laranja industrializado pelo consumidor. Método: Foram estudadas cinco marcas de suco (A, B, C, D e E), as quais foram avaliadas em três etapas de testes: teste cego, teste com embalagem e teste com informação. Os testes foram aplicados em 51 julgadores, utilizando escala hedônica de 9 pontos. Os resultados foram analisados por meio de estatística descritiva e pelo teste de Tukey (α = 0,05). Resultados: No teste cego, a marca E obteve melhor aceitação, diferindo das marcas A e B. No teste de embalagem, as marcas A, D e E não diferiram entre si, sendo a marca C a de pior aceitação. Já no teste com informação, as marcas A, C, D e E não diferiram entre si. Conclusão: Os resultados indicam que a embalagem pode influenciar positiva ou negativamente a avaliação do consumidor sobre o produto. Neste estudo, a informação sobre a marca exerceu influência positiva para as marcas A, B e C. Já para as marcas D e E, a informação sobre o produto diminuiu a porcentagem de consumidores que gostaram do produto, indicando que estes sucos podem ser preferidos quando as intervenções da marca são eliminadas.

Nonclinical safety testing of imaging agents, contrast agents and radiopharmaceuticals.

Drug development includes imaging agents, contrast agents and radiopharmaceuticals; these materials differ from therapeutic drugs in that they are largely used to diagnose and/or monitor diseases and not treat them. Consequently, nonclinical safety testing needs are different. An examination of testing packages supporting clinical entry and/or marketing of these materials has shown a common approach to some study types (eg, imaging, biodistribution and toxicity testing). Recent regulatory guidelines to support development are the United States Food and Drug Administration (FDA)'s "Guidance for Industry Microdose Radiopharmaceutical Diagnostic Drugs: Nonclinical Study Recommendations" and the European Medicines Agency (EMA)'s "Guideline on the Non-Clinical Requirements for Radiopharmaceuticals" (currently draft). It is hoped that these documents will allow developers to only perform nonclinical studies that are necessary to support functionality, follow distribution of the material and examine general safety/toxicity. However, as they are mainly focused on radiopharmaceuticals, companies are likely to apply knowledge of established testing packages to other new imaging agents and/or follow principles given in older regulatory guidelines, namely FDA's "Guidance for Industry Developing Medical Imaging Drug and Biological Products Part I Conducting Safety Assessments". Thus, in some cases, the need for regulatory agency interaction is still vital to avoid development surprises and delays due to an incomplete or badly performed testing package.

The ethnomathematics in making woven bamboo handicrafts of osing community in Banyuwangi, Gintangan village as geometry teaching material

Ethnomathematics refers to the application of mathematics in cultural life. This research was intended to describe the ethnomathematics in making woven bamboo handicrafts in Gintangan village, Banyuwangi. The things obtained in this research were the changes in of geometric teaching material, covering Test Problem Package with Ethnomatematics as the topic. The type of this research was qualitative research with ethnographic approach. The data collection methods used were observation and interview. The subjects of this research consisted of 2 persons; they were foremen who made the woven bamboo handicrafts, kukusan, ereg, tenong and nyiru. Ethnomathematics emerged when the woven craftsmen carried out the activities to measure, calculate and design. When the process of measuring the thickness of the bamboo whittles came, the measurement concept was meters (m). During the process of calculating the drying time of bamboo and the amount of bamboo whittles, comparative concept of value appeared. During the design process, the concept of quadrilateral and number sequences emerged. The result of this research was geometry teaching material in the form of test package. The question of test package was pointed for the students of class VIII at middle school. The question of Test Package covered 4 C5 and 1 C6 questions

Mass testing and treatment for malaria followed by weekly fever screening, testing and treatment in Northern Senegal: feasibility, cost and impact

BackgroundPopulation-wide interventions using malaria testing and treatment might decrease the reservoir of Plasmodium falciparum infection and accelerate towards elimination. Questions remain about their effectiveness and evidence from different transmission settings is needed.MethodsA pilot quasi-experimental study to evaluate a package of population-wide test and treat interventions was conducted in six health facility catchment areas (HFCA) in the districts of Kanel, Linguère, and Ranérou (Senegal). Seven adjacent HFCAs were selected as comparison. Villages within the intervention HFCAs were stratified according to the 2013 incidences of passively detected malaria cases, and those with an incidence ≥ 15 cases/1000/year were targeted for a mass test and treat (MTAT) in September 2014. All households were visited, all consenting individuals were tested with a rapid diagnostic test (RDT), and, if positive, treated with dihydroartemisinin-piperaquine. This was followed by weekly screening, testing and treatment of fever cases (PECADOM++) until the end of the transmission season in January 2015. Villages with lower incidence received only PECADOM++ or case investigation. To evaluate the impact of the interventions over that transmission season, the incidence of passively detected, RDT-confirmed malaria cases was compared between the intervention and comparison groups with a difference-in-difference analysis using negative binomial regression with random effects on HFCA.ResultsDuring MTAT, 89% (2225/2503) of households were visited and 86% (18,992/22,170) of individuals were tested, for a combined 77% effective coverage. Among those tested, 291 (1.5%) were RDT positive (range 0–10.8 by village), of whom 82% were < 20 years old and 70% were afebrile. During the PECADOM++ 40,002 visits were conducted to find 2784 individuals reporting fever, with an RDT positivity of 6.5% (170/2612). The combination of interventions resulted in an estimated 38% larger decrease in malaria case incidence in the intervention compared to the comparison group (adjusted incidence risk ratio = 0.62, 95% CI 0.45–0.84, p = 0.002). The cost of the MTAT was $14.3 per person.ConclusionsIt was operationally feasible to conduct MTAT and PECADOM++ with high coverage, although PECADOM++ was not an efficient strategy to complement MTAT. The modest impact of the intervention package suggests a need for alternative or complementary strategies.

Development of Test Instruments Based Computer- Higher Order Thinking (CBT-HOT) in Intermediate Reading Courses

This research developed product of test instruments based computer -High Order Thinking (CBT-HOT) in intermediate reading courses in Ikip Budi Utomo Malang. Test instruments based computer -High Order Thinking (CBT-HOT) in intermediate reading courses are high-level test package that are provided online by using a website as a basis for students who access it, so it is suitable to campus vision that must use ICT technology. The product consists of five test packages compiled with high-level criteria according to Taxonomy Bloom , those are package A, B, C, D and E. The design of this research adapts from the Borg and Gall model with the following steps (1) need analysis, (2) planning, (3) product development, (4) expert validation, (5) product revisions and (6) product trials. The objectives of this study are: (1) to produce scientific articles published in reputable national journals; (2) to produce scientific article published in international scientific journals; (3) produce CBT-HOT based test computer products that will be certified. The average value on material validation showed good results, which the average score 2,81. The average value of media validation also shows good results, which is 2.86. The average value in test instruments is 2.87.

"디자인비즈니스 교육 특성화에 따른 산학디자인 프로젝트 수행사례 연구 -개인 유전자 검사(DTC) 패키지 개발 사례를 중심으로-"

"디자인비즈니스 교육 특성화에 따른 산학디자인 프로젝트 수행사례 연구 -개인 유전자 검사(DTC) 패키지 개발 사례를 중심으로-"

PENEGAKAN HUKUM OLEH KOMISI PERLINDUNGAN PERSAINGAN USAHA DALAM PENANGANAN PERSAINGAN USAHA TIDAK SEHAT DITENGAH WABAH COVID-19

The objective of the research is to explore the functions and roles of KPPU (Business Competition Supervisory Commission) in eradicating various monopolistic practices and unfair business competition which occurred in covid-19 case. Since this case has become a global pandemic, some people or business people whom aware about this pandemic deliberately hoard masks, hand sanitizers and resell them in unimaginable high prices, whereas, these two items are urgently needed only for those whose infected Covid-19. There is also information that some hospitals offer a package of rapid test for the public in expensive prices, which limits the ability of the community to testify themselves whether to isolate independently at home or do the hospital treatment. Law Number 5 Year 1999 concerning monopolistic practices and unfair business competition is used in discussing this research. In this research, it is known that KPPU has not been able to carry out an investigation unless, information and evidence from the parties who feel disadvantaged by the existence of monopoly and unfair business competition were provided. In addition, if however fraud has been detected, the sentence which will be faced by monopolists or unfair business actors is mere an administrative sentence

EKSPLORASI ETNOMATEMATIKA PADA KERAJINAN KAYU DI DESA TUTUL KECAMATAN BALUNG SEBAGAI BAHAN AJAR GEOMETRI

This study aims to explore anything ethnomatematics related to woodwork in Tutul Village, Jember. Woodcraft is a craft made from wood. This type of research is a study using a qualitative approach with ethnographic design. Research subjects in this study were craftsmen and owners of "Ara Collections" wood production houses. In this study the object is focused on bracelets, necklaces, and keeping. Based on the results of the study, it can be seen that wood crafts have mathematical elements. The mathematical elements found are ball, tube, cube, integrated cone, rectangular flat, circle, parabolic, ellipsoid, hyperbole, hyperbole, geometric patterns, reflection, dilation, and congruence and concordance. The teaching material made is in the form of a geometry test package related to ethnomatematics in wood crafts in Tutul Village, Balung Sub-District, Jember.&#x0D; &#x0D; Keywords: Ethnomatematics; Woodcraft; Geometry; Teaching Materials

Molecular dynamics calculations of collision-induced absorption in a gas mixture of neon and krypton.

We continue the development of the in-house molecular dynamics software package SpaCIAL and test it for the computation of the collision-induced absorption coefficients for a neon (Ne) and krypton (Kr) gas mixture. An apodization procedure for the dipole autocorrelation function is implemented and tested. We also carry out a statistical study of the convergence rate with respect to ensemble size. The resulting absorption coefficients show a good accordance with quantum mechanical results. Comparison with laboratory measurements shows agreement within 10%-20% at T = 295 K. At T = 480 K, a larger difference of 40%-80% is observed, which can presumably be explained by experimental uncertainties. For the study, an empirical (Barker, Fisher, and Watts) interaction-potential [Mol. Phys. 21, 657 (1971)] for Ne-Kr has been developed. Ab initio {coupled cluster with singles and doubles (triples) [CCSD(T)]} potentials for Ne-Ne, Kr-Kr, and Ne-Kr have been computed, as well as the CCSD(T) interaction-induced Ne-Kr dipole moment curve.