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Abstract Aims Adolescence is a critical developmental phase during which young people are vulnerable to the experiences of mental ill-health and social exclusion (consisting of various domains including education and employment, housing, finances and social supports and relationships). The aims of this study were to (i) obtain an understanding of the relationships between social exclusion, mental health and wellbeing of young people; and (ii) identify potentially modifiable targets, or population groups that require greater or targeted supports. Methods Data were obtained from the Mission Australia 2022 Youth Survey, Australia’s largest annual population-wide survey of young people aged 15–19 years (n = 18,800). Participants’ experiences of social exclusion in different domains were explored (e.g., prevalence, co-occurrence and controlling for differences in demographic characteristics). Multivariable linear regression models were used to map the relationships between social exclusion domains and mental health and wellbeing, controlling for confounding factors where necessary. Results Sixty per cent of all young people experienced social exclusion in at least one domain, 25% in multiple. Young people who identified as gender diverse, Indigenous, living in a remote/rural or socio-economically disadvantaged area and with a culturally diverse background were more likely to report social exclusion. A strong association was seen between all domains of social exclusion and poor mental health (e.g., higher psychological distress and loneliness, reduced personal wellbeing, reduced sense of control over their life and a more negative outlook on the future). Notably, difficulties in socialising and obtaining social support were critical factors linked to increased psychological distress and reduced wellbeing. Conclusions Findings underscore the need to address multiple domains of social exclusion concurrently, and in collaboration with youth mental healthcare. Prevention efforts aimed at early identification and intervention should be prioritised to support young people vulnerable to social exclusion. Screening approaches are needed to identify individuals and groups of young people in need of support, and to facilitate care coordination across multiple providers.

This research examines the toponymy of beaches in Belitung using the socio-onomastic approach. The names of beaches in Belitung Regency were studied using written and oral data. The written data was obtained from three maps, i.e., the map from the Geospatial Information Agency, the geological map of Belitung and the digital Google Maps. The oral data was obtained through interviews with resource persons and informants in Belitung. Based on map searches and interviews, seven beach names and the origin of their names have been obtained, as follows (i) Tanjung Tinggi Beach, (ii) Tanjung Pendam Beach, (iii), Penyabong Beach, (iv) Tanjung Kelayang Beach, (v) Tanjung Binga Beach, (vi) Bukit Berahu Beach, and (vii) Batu Bedil Beach. In addition to these beaches, there may be other beach names worth examining. Beach names in Belitung Regency have four naming patterns: (i) beach toponyms with elements of topography, (ii) beach toponyms with elements of topography and fauna, (iii) beach toponyms with elements of topography and flora, and (iv) beach toponyms with elements of sound. Sometimes, a beach has more than one name. From socio-onomastics perspective, it is a natural phenomena, because names of place have various characteristics and influence people’s preferences in using names.

Aim: This study was aimed at finding the binding site on the human E-cadherin for Ala-Asp-Thr Cyclic 5 (ADTC5), ADTC7, and ADTC9 peptides as blood-brain barrier modulator (BBBM) for determining their mechanism of action in modulating the blood-brain barrier (BBB). Methods: ADTC7 and ADTC9 were derivatives of ADTC5 where the Val6 residue in ADTC5 was replaced by Glu6 and Tyr6 residues, respectively. The binding properties of ADTC5, ADTC7, and ADTC9 to the extracellular-1 (EC1) domain of E-cadherin were evaluated using chemical shift perturbation (CSP) method in the two dimensional (2D) 1H-15N-heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance (NMR) spectroscopy. Molecular docking experiments were used to determine the binding sites of these peptides to the EC1 domain of E-cadherin. Results: This study indicates that ADTC5 has the highest binding affinity to the EC1 domain of E-cadherin compared to ADTC7 and ADTC9, suggesting the importance of the Val6 residue as shown in our previous in vitro study. All three peptides have a similar binding site at the hydrophobic binding pocket where the domain swapping occurs. ADTC5 has a higher overlapping binding site with ADTC7 than that of ADTC9. Binding of ADTC5 on the EC1 domain influences the conformation of the EC1 C-terminal tail. Conclusions: These peptides bind the domain swapping region of the EC1 domain to inhibit the trans-cadherin interaction that creates intercellular junction modulation to increase the BBB paracellular porosity.

Studi ini bertujuan menjelaskan tuturan dokter kepada pasien dalam percakapan institusional bahasa Jepang. Sumber data berupa ujaran-ujaran dokter kepada pasien dalam serial drama Jepang Koi wa Tsuzuku yo Dokomademo. Data penelitian dibuat transkripsinya menggunakan aplikasi ELAN, dan ditampilkan dengan metode transkripsi ortografis. Jumlah keseluruhan data adalah 137 tuturan dan 115 di antaranya adalah tuturan dalam percakapan institusional. Hasil penelitian menunjukkan bahwa terdapat tiga jenis tuturan dokter kepada pasien dalam percakapan institusional, yaitu (i) tuturan rencana tindakan, (ii) tuturan nasihat, dan (iii) tuturan pertanyaan kondisi pasien. Ketiga jenis tuturan ini masing-masing dibagi menjadi dua bagian berdasarkan mitra tuturnya, yaitu pasien dewasa dan anak-anak. Ada perbedaan ragam tutur dan cara memanggil pasien pada tuturan dokter kepada pasien dewasa dan anak-anak dalam percakapan institusional.

North Sumatra is one of the provinces that contributes the most prominent agricultural commodities of red chilies and cayenne peppers in Indonesia. This study aims to determine the outcomes of price forecasts for cayenne and red chilies in the province of North Sumatra. The method used is multivariate singular spectrum analysis. Results were grouped into six groups based on 12 eigenvectors with a forecast length of 9 monthly periods. Further, the level of accuracy was obtained from MAPE for each variable, with the highest MAPE being 30% for the curly red chili, 27.55% for the big red chili, and the lowest at 23.44% for mixed cayenne pepper. So, the price forecast for red chilies and cayenne peppers in North Sumatra Province for October 2023 to June 2024 using the Multivariate Singular Spectrum Analysis model is included in the forecast category with reasonable capabilities.

The purpose of this research is to determine the factors that have a significant effect on the types of malignant and benign breast cancer using the binary logistic regression approach and classify the factors that have a significant effect on the types of malignant and benign breast cancer using the regression method. tree-structured logistics on breast cancer data from H. Adam Malik Hospital Medan 2021. This research is a type of applied research by collecting secondary data from the H Adam Malik General Hospital Medan. The research variables used are the response variable (Y) and the predictor variable (X). In the response variable there are also two categories, namely benign breast cancer patients and malignant breast cancer patients. While the predictor variables in this study were age, age at menarche, age at menopause, age at parity, use of hormonal contraception, genetics, number of children, breastfeeding period, and mammary fibroadenosis. This study uses the binary logistic regression method because it is a good method in determining factors. In addition, the tree-structured logistic regression method is also used because it is a good method in determining factor classification with a good level of accuracy for all data. These two methods can make it easier for researchers to calculate and determine the factors that have a significant effect on the type of malignant breast cancer and benign breast cancer using all the available variables. The results of this study obtained an accuracy value of 94% for the binary logistic regression method and 97.74% for the tree-structured logistic regression method. Because it has an accuracy value of almost 100%, this means that the binary logistic regression method and tree-structured logical regression applied to this research problem are good enough

The utilization of stored blood for transfusion purposes is a common practice in Blood Transfusion Units worldwide. However, the storage period can induce various cellular alterations, potentially comprising the quality and efficacy of blood transfusions. This study aims to investigate changes in biochemical and hematological parameters in blood donors during the storage period. This study was a prospective study involving the observation of 10 blood bags collected from local community donors in Lampung Province. The blood samples were stored in CPDA-1 anticoagulant bags at a controlled temperature of 2-6 ° C for 35 days. At regular intervals of 7 days, comprehensive assessments were performed, encompassing complete blood parameters, electrolyte concentration (Na+, K+, Cl-), and blood pH levels. After 35 days of storage, statistically significant alterations were observed. Notably, there was a significant increase in hematocrit levels (p=0.000), mean corpuscular volume (MCV) (p=0.019), lymphocyte counts (p=0.000), and potassium concentrations (p=0.000). Conversely, mean corpuscular hemoglobin concentration (MCHC) (p=0.025), leukocyte counts (p=0.000), neutrophil counts (p=0.000), platelet counts (p=0.000), sodium levels (p=0.000), chloride levels (p=0.000), and pH values (p=0.000) were significantly declines. In conclusion, blood storage leads to notable alterations in biochemical and blood cell characteristics. Therefore, it is advisable to prioritize using fresh whole blood or blood stored for no more than seven days in transfusion practices to minimize the risk of post-transfusion reactions, especially in vulnerable recipients. Keywords: Blood transfusion, biochemical changes, cellular changes, storage.

Despite the increase in the availability and popularity of online educational programs, there is a lack of understanding of non-academic as well as academic predictors of online student success. In this study, we have investigated predictors of tertiary level student success via the Psychology discipline, a popular online subject. A systematic literature review, followed by focus groups with students and instructors from online Psychology courses, revealed several important findings including a profile of general predictors of online student success and the existence of discipline-specific online student success predictors which can be extended to a variety of health care courses. Understanding the indicators of effective online education will allow course designers and instructors to develop strategies specific to the online mode and particular disciplines, enabling implementation of evidence-based education practices, which can support academic and non-academic student success in a range of online courses.

Whilst online learning has gained rapid momentum, the development of online technology and practices that support the delivery of online courses with a large research component has been slow. In 2017, the School of Psychological Sciences at Monash University, Australia, developed a potentially scalable and transferable online research portal. This is an all-in-one platform that is designed to facilitate and support online research and research supervision, for supervisors and students. The research portal has evolved to currently provide research and research supervision support to over 700 online psychology students at the university. This paper describes the development, implementation and impact of the research portal and presents data from a preliminary evaluation of its usability and user satisfaction. Both research students and supervisors from the fully online fourth-year Graduate Diploma of Psychology Advanced program at Monash University participated in a series of focus groups, individual usability testing sessions, and surveys, and reported favourably on the research portal's research supervisor and supervisee user satisfaction and usability. Qualitative and quantitative feedback provided useful information supporting research portal improvement and expansion possibilities, allowing an increasingly valuable contribution to online research supervision, research and research teaching.

The distribution of duck eggs is carried out in several retail stores in Medan, where road conditions, vehicle conditions and travel times are uncertain which results in uncertain costs. This problem can be solved using a fuzzy model that aims to minimize costs and minimize delivery time. This research was conducted at CV. Bebek Berkah Farm by discussing the Optimization of Egg Distribution using the FMOCIRP model. Completion of this model is done by using Winqsb software. Based on the results of calculations, the FMOCIRP model can save with an initial cost of 114,000 to Rp.84.500, and delivery time to 239 minutes from 277 minutes previously, where the optimal solution is a distribution route that provides minimum costs and time

Background and Objectives: A novel antitubercular cyclic peptide, Cyclo(1,6)-Ac-CLYHFC-NH2, was designed to bind at the rifampicin (RIF) binding site on the RNA polymerase (RNAP) of Mycobacterium tuberculosis (MTB). This peptide inhibits RNA elongation in the MTB transcription initiation assay in the nanomolar range, which can halt the MTB transcription initiation complex, similar to RIF. Therefore, determining the solution conformation of this peptide is useful in improving the peptide’s binding affinity to the RNAP. Methods: Here, the solution structure of Cyclo(1,6)-Ac-CLYHFC-NH2 was determined by two-dimensional (2D) NMR experiments and NMR-restrained molecular dynamic (MD) simulations. Results: All protons of Cyclo(1,6)-Ac-CLYHFC-NH2 were assigned using TOCSY and NOE NMR spectroscopy. The NOE cross-peak intensities were used to calculate interproton distances within the peptide. The JNH-HCα coupling constants were used to determine the possible Phi angles within the peptide. The interproton distances and calculated Phi angles from NMR were used in NMR-restrained MD simulations. The NOE spectra showed NH-to-NH cross-peaks at Leu2-to-Tyr3 and Tyr3-to-His4, indicating a βI-turn formation at the Cys1-Leu2-Tyr3-His4 sequence. Conclusions: The NMR-restrained MD simulations showed several low-energy conformations that were congruent with the NMR data. Finally, the conformation of this peptide will be used to design derivatives that can better inhibit RNAP activity.

Measles is a highly contagious disease and a health problem in several countries, including Indonesia. In 2022, Indonesia will experience an extraordinary situation (KLB) of measles cases, with the number of measles cases reaching 3,341 across 223 districts/cities. This data shows an increase of 32 times compared to 2021. North Sumatra is one of the provinces included in the list of regions and outbreak status, with 127 measles cases recorded in 2022. This study aims to find the factors that influence the number of measles cases in North Sumatra: one dependent variable, 34 independent variables, and 33 observations made up the study's variables. The data model chosen contains information on the percentage of measles cases linked to health, economic, human resource, and environmental variables. In addition, this study employs high-dimensional (data with many explanatory factors) data and includes outliers. Data with a large number of explanatory factors and outliers can be handled with LTS sparse analysis. The 34 independent variables were successfully chosen and reduced to 14 using the LTS sparse model. In addition, based on the and RMSE values ​​for model evaluation, sparse LTS shows satisfactory results compared with classical LASSO, with and RMSE values ​​for sparse LTS being 93.75% and 0.2933, respectively. Then, the and RMSE values ​​for LASSO are -62.4% and 2.1734. The government can use these elements to guide lowering the number of measles cases in North Sumatra.

IntroductionImmune cells that contribute to the pathogenesis of systemic lupus erythematosus (SLE) derive from adult hematopoietic stem and progenitor cells (HSPCs) within the bone marrow (BM). For this reason, we reasoned that fundamental abnormalities in SLE can be traced to a BM-derived HSPC inflammatory signature.MethodsBM samples from four SLE patients, six healthy controls, and two umbilical cord blood (CB) samples were used. CD34+ cells were isolated from BM and CB samples, and single-cell RNA-sequencing was performed.ResultsA total of 426 cells and 24,473 genes were used in the analysis. Clustering analysis resulted in seven distinct clusters of cell types. Mutually exclusive markers, which were characteristic of each cell type, were identified. We identified three HSPC subpopulations, one of which consisted of proliferating cells (MKI67 expressing cells), one T-like, one B-like, and two myeloid-like progenitor subpopulations. Differential expression analysis revealed i) cell cycle-associated signatures, in healthy BM of HSPC clusters 3 and 4 when compared with CB, and ii) interferon (IFN) signatures in SLE BM of HSPC clusters 3 and 4 and myeloid-like progenitor cluster 5 when compared with healthy controls. The IFN signature in SLE appeared to be deregulated following TF regulatory network analysis and differential alternative splicing analysis between SLE and healthy controls in HSPC subpopulations.DiscussionThis study revealed both quantitative—as evidenced by decreased numbers of non-proliferating early progenitors—and qualitative differences—characterized by an IFN signature in SLE, which is known to drive loss of function and depletion of HSPCs. Chronic IFN exposure affects early hematopoietic progenitors in SLE, which may account for the immune aberrancies and the cytopenias in SLE.

The global online education sector has been rising rapidly, particularly during and after the events of 2020, and is becoming mainstream much sooner than expected. Despite this, research studies report higher levels of perceived isolation, difficulties with engagement, and higher attrition rates in online compared to equivalent on-campus programs. Reasons include restrictions to the type of institutional support accessible by online students, and the lack of comprehensiveness of orientation resources. This paper describes the collaborative efforts by a cross-faculty academic team, supported by a community of practice, to create a university-wide online orientation resource--the Monash Online Learning Hub (MOLH). The development of the MOLH involved multiple phases, including an analysis of current practice, resource design and content creation, formative evaluation by staff and students, and successful integration into the university's mainstream student orientation platform for widescale implementation. The methods adopted were varied, and involved generating both qualitative and quantitative data across multiple phases of development from online education experts at the University, that culminated in the gradual building and refinement of the MOLH. Final outcomes, implications and lessons learned are also discussed in this paper.

Abstract Aims The specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental healthcare models, such as the internationally pioneering headspace services in Australia. Although these services were designed for early intervention, they often need to cater for young people with severe conditions and complex needs, creating challenges in service planning and resource allocation. There is, however, a lack of understanding and consensus on the definition of complexity in such clinical settings. Methods This retrospective study involved analysis of headspace’s clinical minimum data set from young people accessing services in Australia between 1 July 2018 and 30 June 2019. Based on consultations with experts, complexity factors were mapped from a range of demographic information, symptom severity, diagnoses, illness stage, primary presenting issues and service engagement patterns. Consensus clustering was used to identify complexity subgroups based on identified factors. Multinomial logistic regression was then used to evaluate whether these complexity subgroups were associated with other risk factors. Results A total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a ‘high complexity’ group, presenting with a variety of complexity factors, including severe disorders, a trauma history and psychosocial impairments. Two moderate complexity groups were identified representing ‘distress complexity’ and ‘psychosocial complexity’ (about 20% each). Compared with the ‘distress complexity’ group, young people in the ‘psychosocial complexity’ group presented with a higher proportion of education, employment and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different headspace services. Conclusions The proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to headspace early intervention services emphasises the need for systemic change in youth mental healthcare to ensure the availability of appropriate and timely support for all young people.

Abstract Introduction: Canine-assisted psychotherapy (CAP) is an emerging field that is largely unregulated and at times fragmented. Despite this, CAP shows promise as an innovative intervention for improving adolescent mental health. To ensure safe, ethical interventions incorporating dogs, providers need minimum standards to guide intervention development and subsequent research. Initially, standards should guide the preliminary steps required to prepare for and set up CAP interventions. These should include consensus agreement on the specific training and qualifications of providers, and training/assessment standards for canines to deliver such interventions. Also crucial is establishing clear expectations about treatment goals via use of clinically accurate terminology. Methods: Using Delphi methodology, experts in animal-assisted therapy (AAT) were recruited globally to complete questionnaires in an iterative process designed to establish consensus. Consensus was met when 80% or more experts agreed that an item was either ‘important’ or ‘essential’ and therefore included or ‘unimportant’ or ‘irrelevant’ and therefore excluded from the minimum standards required to develop a CAP group intervention for adolescents experiencing common mental health disorders including depression, anxiety, and adjustment disorder. Results: Over two rounds, consensus was reached to include 34 items and exclude none; 45 items remained unresolved. Standardized terminology was identified that clearly defined the type and scope of the service being provided, delineating psychotherapeutic treatments from informal dog-related interactions. To deliver the CAP intervention, providers must have formal qualifications and licensure/registration in mental health, training and supervision in AAT, and canine-specific training and experience. Important temperament characteristics of working dogs were identified including absence of aggression, and enjoyment working in CAP. Dogs should be formally assessed in obedience and AAT applications, in partnership with a bonded handler. Assessors of dog-handler teams should be independent and have expertise in both canine ethology and AAT. Discussion: These results reinforce the importance of accurate and standardized terminology, and the need for further community education on the role of ‘therapy’ and ‘therapy dogs’. Consensus on the essential content for provider training was not achieved, highlighting the diversity of practice globally. Nevertheless, there was recognition of the need for breadth and depth of knowledge across the domains of mental health, AAT, canine training, and handling dogs for AAT applications. Dogs working independently of a bonded handler were not supported, nor were mental health providers working with an ‘assessed’ dog in the absence of AAT and CAP training. Implications for clinical practice are explored.

This research examines raw material inventory control at Hendhy's Brownies. Inventory management analysis is carried out using the Min-Max, Economic Order Quantity (EOQ) and Period Order Quantity (POQ) methods. Based on data analysis and processing, it is known that raw material inventory management using the min-max method has an order quantity of 13,231 kg with an ordering frequency of 5 times and a total ordering cost of Rp. 5,325,387. By using the Economic Order Quantity (EOQ) method, an order quantity of 9001 kg was obtained with an order frequency of 5.3 times and a total order cost of Rp. 3,420,527 Using the Periodic Order Quantity (POQ) method, the order quantity is 4252 kg, the order frequency is 20 times, and the total order price is IDR 3,071,030. Based on the results of the three methods, the EOQ method is the most optimal inventory control method compared to the other two methods. So that the results obtained through the EOQ method can improve forecasting of raw material shortages for companies, so that the use of raw materials becomes optimal

The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus. Estimation of relative risk is a statistic in disease mapping that is used to determine the distribution of disease. Relative risk estimation can be estimated using a direct estimator model or Standardized Morbility ratio and a small area estimation model using Bayesian Conditional Autoregressive (CAR) with the Poisson-Gamma model. The Poisson-Gamma model is one of the models in estimating small areas in the form of count data which is suitable for use in disease mapping cases. This study aims to find the relative risk value as the basis for mapping the spread of the COVID-19 virus in the city of Medan using the Standardized Morbility Ratio and Bayesian Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research. Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research.

Economic growth in Indonesia affects the need for household furniture. With the increasing demand, consumers have to wait a long time for the requested furniture. This causes sales to not be optimal due to consumer disappointment which results in cancellation of requests. The purpose of this research is to determine the optimal development of sales and make a production schedule based on the forecasting results obtained. The data of this research are window sales at UD. Podomoro Asahan from July 2016 to July 2021. The data was processed using the ARIMA and Winters methods and then compared between the two methods.The results of the study used the ARIMA method, namely using the ARIMA model (0,1,1) with an error value of MPE -0.079772% and MAPE 16.592778%. The results of the study used the Winters method, namely using the smoothing constant α=0.546225; β=0.259846; γ=0.116178; with MPE error value -0.39785% and MAPE 39.78471%.

The traffic is one of the problems that are often in big cities in Indonesia, where this also happened on Gatot Subroto Sei Sikambing street, Medan city. The traffic light is a tool that is made with the aim of being an assistant in regulating traffic so that it runs more orderly, but it has not been able to run optimally due to the determination of which traffic flow is green or red and also the duration of the traffic light. The solusition that can be given to solve this problem is to use a welch-powell algorithm. The welch-powell algorithm is doing coloring activity by producing a chromatic number. This is study, the chromatic number obtained was 4 and the average duration of the red light has decreased by or 116.51 seconds so that its negative and the average duration of the green light has increased by or 119.63 seconds so its positive

Drug abuse is using drugs without a doctor's instructions or prescription. Drug abuse is one of Indonesia's health and social problems, not least in the province of North Sumatra. North Sumatra Province currently has the highest number of drug abuse cases. This makes the researchers make a mathematical model of the distribution of drug users with educational factors with the SIRS epidemic model method. The first step is to modify the model, after which the equilibrium and stability points are calculated. The final step is to perform a numerical simulation on the basic reproduction number using the next-generation matrix approach. From the analysis results obtained two equilibrium points, namely the equilibrium point free of drug users and the endemic equilibrium point for drug users, but only one equilibrium point was analyzed. . Based on the numerical simulation, every population are stable near to the drug free equilibrium point at , means the population of the drug addigt constantly decrease and on a certain condition will be non existent, and stable around to drug endemic equilbrium point at , means the drug addict population will constantly increase so the drug epidemic occurred. From the simulation, it is found that the greater the rate of education, the more the number of vulnerable population with education will increase and the number of vulnerable population without education will decrease

Chronic inflammatory diseases (CIDs), including inflammatory bowel disease (IBD), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are thought to emerge from an impaired complex network of inter- and intracellular biochemical interactions among several proteins and small chemical compounds under strong influence of genetic and environmental factors. CIDs are characterised by shared and disease-specific processes, which is reflected by partially overlapping genetic risk maps and pathogenic cells (e.g., T cells). Their pathogenesis involves a plethora of intracellular pathways. The translation of the research findings on CIDs molecular mechanisms into effective treatments is challenging and may explain the low remission rates despite modern targeted therapies. Modelling CID-related causal interactions as networks allows us to tackle the complexity at a systems level and improve our understanding of the interplay of key pathways. Here we report the construction, description, and initial applications of the SYSCID map (https://syscid.elixir-luxembourg.org/), a mechanistic causal interaction network covering the molecular crosstalk between IBD, RA and SLE. We demonstrate that the map serves as an interactive, graphical review of IBD, RA and SLE molecular mechanisms, and helps to understand the complexity of omics data. Examples of such application are illustrated using transcriptome data from time-series gene expression profiles following anti-TNF treatment and data from genome-wide associations studies that enable us to suggest potential effects to altered pathways and propose possible mechanistic biomarkers of treatment response.