Wrong Code Research Articles

Analysis and Design of Building’s Structural Members (Slabs and Beams) using Microsoft Excel and AUTOCAD Software: A Case Study of MARCGSO’ Building

The frequent collapse of concrete structures (Buildings, Bridges and Culverts) these days in the global construction industries has led to claiming of many innocent lives. From the literature perspective, the observed major causes of this failure are the errors developed from the programmed structural software; the method used in running the software, its usage error during the analysis and design of structural members; and possibly, error committed by unskill personnel while using the structural software. Allowing the continuity of these errors in the construction industries will cause greater damages to lives and properties globally, thus; a more accurate and reliable design software has to be developed to eradicate errors occurrence in structural design. The results of this investigation proved that Microsoft Excel sheet is accurate for structural members’ analysis and design; good for accurate calculation in designing, it can be access quick; so reliable, and error free. Its application in construction industries will bring accuracy and stability to designed structures, and more lives will be saved. As a case study, the architectural plans of Maryland Catholic Grammar School, Ogbomoso (MARCGSO)’s principal lodge building was used as a prototype to show how efficient is Microsoft Excel in structural analysis. At MARCGSO, this has been tested and found reliable. During the investigation, the structural details of the designed concrete structural members were carried out using AUTOCAD software. Analysis and design of members were carried out from the basic principle of structural design using BS 8110 part 1:1999. The result shows that, Microsoft Excel and BS 8110 part 1:1999 code are the best design tools needed for analysis and design of structural members. It is very fast, accurate and error free. Also, the output of analysis carried out using Microsoft Excel are traceable, amendable and reliable, thus, its application in designing will prevent sudden structural failure. Likewise, it is very easy for young and structural engineers to operate, thus, its application can be done by: open a fresh Microsoft Excel sheet, get BS 8110 part 1:1999 code of structural design, prepare a general arrangement of architectural plan of structure to design, then follow the step by step of designing stated in this study. It required no application download or software purchase. In conclusion, the use of Microsoft Excel in structural analysis and designing will save many lives and prevent sudden collapse of structures resulting from wrong code or software error.

Reveal irAE by analysis of 197,921 claim-based prescriptions.

e13639 Background: immune-related adverse effects (irAE) are widely known for immune checkpoint inhibitors (ICI), but medications used to relieve irAE based on patient profile and condition are not offered in guidelines. Publications are available to reveal irAE from hospitals, but the number of cases are normally only a few hundred and insufficient to stratify by more variables. Claim-based data points were also used in a few publications, based on analysis of diagnosis code such as ICD-9 and ICD-10. However, missing or wrong coding of adverse effects are well-known and over-exaggerated for severe adverse events, and are also affected by reimbursement policy. This research used medications from a large national health system to understand irAE and treatments related to them. Methods: 2017-2019 National Health Insurance database (NHIDB) in Taiwan was used. The case group was identified as (2,474) patients who used PD-1 inhibitors (more specifically Nivolumab, Pembrolizumab, and Atezolizumab because only those three were available in the duration). A control group was identified as (6,207) patients given platinum-based chemotherapy (cases using other cancer drugs at the same time were excluded). Odds ratios were calculated to see frequency of irAE and medications in both groups. Results: Top 10 medications are listed. Diphenhydramine and pain killers were the most common AE-relief medications for cancer patients in NHIDB and only anilides (mostly propacetamol) are overlapped. The rest of the drugs with OR > 3, especially steroids (thyroid and corticosteroids), were used mainly for irAE. Conclusions: The research reveals a novel approach to understand how physicians prescribe to treat irAE. The larger number of cases reported compared to previous studies suggests that such a database can be used for future research, including to reveal demographic patterns, and to aid the development of guidelines, teaching aids, and decision support.[Table: see text]

Analysis of drug prescriptions and insurance deductions of the governmental pharmacy of Lorestan University of Medical Sciences

Background: Standards-based prescribing can increase the effectiveness of treatment and the optimal management of financial resources, including reducing the costs of insurance deductions. Therefore, reducing insurance deductions is necessary for pharmacy management. So, this study aimed to analysis the prescriptions and insurance deductions of the governmental pharmacy of Lorestan University of Medical Sciences. Materials and Methods: This study is a retrospective cross-sectional study that includes a review of all prescriptions of the Social Security and the Armed Forces insurances. The information was collected through the checklist. Then, they were statistically analyzed by SPSS22 and excel software’s. Results: The results showed that the highest number of prescriptions is related to general practitioners and the highest monetary amounts of the monthly deductions related to the Armed Forces Insurance is “price adjustment and low demand” (1700606 Rials) and the highest monetary amounts of the deductions in connection with the Social Security Insurance is “wrong code of the medical system (4617125 Rials). Conclusion: Based on the results, it can be concluded that the most important causes of the deductions are related to human errors. Hence to reduce the deductions, first be more coordination’s between the insurances and pharmacies for covered items and the regulations second monitoring and up-to-date training of individuals on the correct entry of information based on the standards and regulations

Augmented reality material management system based on post-processing of aero-engine blade code recognition

The efficient management of aero-engine blades plays a vital role in improving material turnover and productivity, while the automatic recognition of blade code provides support for digital production. However, there is a lack of discussion about intelligent recognition, result correction, and effective solutions to material management methods for aero-engine blades. There is still a lot of manual work. Therefore, we developed an augmented reality (AR) material management system based on the post-processing of aero-engine blade code recognition, which not only supports the semi-automatic recognition of blade codes but also provides users with guidance on efficient storage and selection. Firstly, we proposed a line classification method of code Optical Character Recognition (OCR) recognition results to determine the structural relationship of discrete characters. Secondly, we constructed a Bayes error correction model which fuses the noise channel model to achieve the post-processing correction of wrong codes. Lastly, we developed the AR auxiliary guidance module to guide users on warehousing. The results show that the proposed line classification algorithm outperforms the baseline method, achieving a high success rate in terms of line classification. Post-processing error correction is effective in improving the accuracy of OCR results. In addition, AR visualization guidance can lead to a significant improvement in efficiency in material entry and out for aero-engine blades. In conclusion, the system proposed in this paper provides an effective solution to material management for the aero-engine blade.

CTOS: Compiler Testing for Optimization Sequences of LLVM

Optimization sequences are often employed in compilers to improve the performance of programs, but may trigger critical compiler bugs, e.g., compiler crashes. Although many methods have been developed to automatically test compilers, no systematic work has been conducted to detect compiler bugs when applying arbitrary optimization sequences. To resolve this problem, two main challenges need to be addressed, namely the acquisition of representative optimization sequences and the selection of representative testing programs, due to the enormous number of optimization sequences and testing programs. In this study, we propose CTOS, a novel compiler testing method based on differential testing, for detecting compiler bugs caused by optimization sequences of LLVM. CTOS first leverages the technique Doc2Vec to transform optimization sequences into vectors to capture the information of optimizations and their orders simultaneously. Second, a method based on the region graph and call relationships is developed in CTOS to construct the vector representations of the testing program, such that the semantics and the structure information of programs can be captured simultaneously. Then, with the vector representations of optimization sequences and testing programs, a “centroid” based selection scheme is proposed to address the above two challenges. Finally, CTOS takes in the representative optimization sequences and testing programs as inputs, and tests each testing program with all the representative optimization sequences. If there is an output that is different from the majority of others of a given testing program, then the corresponding optimization sequence is deemed to trigger a compiler bug. Our evaluation demonstrates that CTOS significantly outperforms the baselines by up to <inline-formula><tex-math notation="LaTeX">$24.76\% \sim 50.57\%$</tex-math></inline-formula> in terms of the bug-finding capability on average. Within seven month evaluations on LLVM, we have reported 104 valid bugs within 5 types, of which 21 have been confirmed or fixed. Most of those bugs are crash bugs (57) and wrong code bugs (24). 47 unique optimizations are identified to be faulty and 15 of them are loop related optimizations.

An Optimization Model for Process Traceability in Case-Based Reasoning Based on Ontology and the Genetic Algorithm

A traceability system can quickly and accurately query product supply chain circulation information. It is difficult to obtain processing information and achieve sharing due to the big data, long duration, large amount of equipment and scattered and easily lost processing information. In tracing the application of the case-based reasoning (CBR) to product processing, we can solve the problem of establishing an accurate and complete mathematical model between the processing information and product quality defects by finding a target record in a large amount of historical data. The traceability model of ontology and CBR uses the web ontology language (OWL) for case representation to simplify the CBR framework for big data, classifies process data and standardizes information storage. A joint optimization algorithm based on the genetic algorithm (GA) and CBR is proposed to establish an optimization model of process traceability, which is applied to case retrieval and reuse. This algorithm optimizes the genetic operator by combining the optimal preservation strategy and roulette selection method and uses an exponential-scale transformation method to stretch the fitness function. The experiments show that the optimized traceability model can infer information from garbled codes, wrong codes and missing messages to quickly determine the problematic products, thus effectively improving the traceability accuracy of product processing.

A beginner’s guide and best practices for using crowdsourcing platforms for survey research: The Case of Amazon Mechanical Turk (MTurk)

A beginner’s guide and best practices for using crowdsourcing platforms for survey research: The Case of Amazon Mechanical Turk (MTurk)

Cardiovascular risk screening of patients with serious mental illness or use of antipsychotics in family practice

BackgroundPatients with serious mental illness (SMI) and patients on antipsychotics (AP) have an elevated risk for cardiovascular diseases. In the Netherlands, the mental healthcare for these patients is increasingly taken care of by family practitioners (FP) as a result of a shift from secondary to primary care. Therefore, it is essential to increase our knowledge regarding the characteristics of this patient group and the (somatic) care provided by their FPs. The aim was to examine the rate of cardiovascular risk screening in patients with SMI or the use of AP in family practice.MethodsWe performed a retrospective cohort study of 151.238 patients listed in 24 family practices in the Netherlands.From electronic medical records we extracted data concerning diagnoses, measurement values of CVR factors, medication and frequency of visits over a 2 year period. Primary outcome was the rate of patients who were screened for CVR factors. We compared three groups: patients with SMI/AP without diabetes or CVD (SMI/AP-only), patients with SMI/AP and diabetes mellitus (SMI/AP + DM), patients with SMI/AP and a history of cardiovascular disease (SMI/AP + CVD). We explored factors associated with adequate screening using multilevel logistic regression.ResultsWe identified 1705 patients with SMI/AP, 834 with a SMI diagnosis, 1150 using AP. The screening rate for CVR in the SMI/AP-only group (n = 1383) was adequate in 8.5%. Screening was higher in the SMI/AP − +DM (n = 206, 68.4% adequate, OR 24.6 (95%CI, 17.3–35.1) and SMI/AP + CVD (n = 116, 26.7% adequate, OR 4.2 (95%CI, 2.7–6.6). A high frequency of visits, age, the use of AP and a diagnosis of COPD were associated with a higher screening rate. In addition we also examined differences between patients with SMI and patients using AP without SMI.ConclusionCVR screening in patients with SMI/AP is performed poorly in Dutch family practices. Acceptable screening rates were found only among SMI/AP patients with diabetes mellitus as comorbidity. The finding of a large group of AP users without a SMI diagnosis may indicate that FPs often prescribe AP off-label, lack information about the diagnosis, or use the wrong code.

All-Optical Aggregation and De-Aggregation of 4×BPSK-16QAM Using Nonlinear Wave Mixing for Flexible Optical Network

A scheme is proposed for all-optical aggregation from four 10 Gbps binary-phase-shift-keying (BPSK) signals into one 40 Gbps 16-ary quadrature amplitude modulation (16QAM) signal by applying the coherent addition of optical vectors, and de-aggregation for the 16QAM signal to recover the data of four original BPSK signals in high nonlinear fiber (HNLF) without information loss or redundancy using self-phase modulation (SPM) and four-wave mixing (FWM). The simulation results show that the error-vector-magnitude (EVM) curves of BPSK signal before aggregation and the 16QAM signal almost coincide with each other, as well as after the de-aggregation it has about 20% degradation at most. The bit error rate (BER) performance of BPSK signals indicates that when the OSNR of BPSK before aggregation is greater than 21.0 dB, then the wrong code of BPSK signal after de-aggregation can be corrected at the receiving end. Additionally, the expanded methods are also proposed for the aggregation of 8PSK signal and 64QAM signal by employing the similar principle. This proposed method provides a new way for realizing the flexible optical transmission and reception of advanced modulation format signals, and suits for the future dynamically reconfigurable optical network at the gateway nodes between different transmission networks.

Correction to: Kinetics of irreversible pore formation under constant electrical tension in giant unilamellar vesicles.

Due to wrong coding usage, the.

Correction to: Long-term study of a subdioecious Populus ×canescens family reveals sex lability of females and reproduction behaviour of cosexual plants.

Table4 in the original publication reports incomplete genotype names in the column "Cross" and wrong codes in the column "Generation".

Analysis of Self Efficacy-Sufficiency Levels of Individuals with Visual Impairment According to Some Variables

This study was conducted with the aim of determining self efficacy-sufficiency levels of visually impaired individuals according to some variables. Bandura (1994) states that self-sufficiency, defined as an individual’s belief on operating a specific job, is an important factor for the athletes. Self-sufficiency results in choosing a field of study voluntarily, feeling a high motivation for accomplishing that job, endeavoring and spending time on the study. Self-sufficiency is about the individual’s specific area or behavior group (Akkoyunlu &amp; Orhan, 2003). The study was conducted on 127 male and 60 female visually-impaired individuals, a total of 187, with different visual acuity in different visually-handicapped clubs. The voluntary basis was taken into consideration in participation. As the data collection tool, “Personal Information Form” and “Self-Efficacy–Sufficiency Scale” which was developed by Sherer et al. (1982), and adopted into Turkish by Gözüm and Aksayan (1999). The data set was analyzed in SPSS 20.0 packaged programme. The data was purified from loss and wrong coding, and the normality hypothesis was done with kurtosis and skewness values. In the analysis of the data, frequency, the average standard deviation was used; besides, T-Test (in paired comparisons) gender, disability status, marital status and branches of sports; one-way variance (ANOVA) test in age, level of education, level of income and visual acuity were used. When one-way ANOVA results of self-sufficiency scores according to gender, age, disability status, level of education, level of income, and visual acuity were analyzed, it was stated that there was a significant difference (p0,05). When evaluated the information above, it can be said that like self efficacy-sufficiency concept can be in different levels and different dimension in different areas of life; it is effective on visually-impaired individuals. In this respect, it is considered that this study will open a new window to this area and contribute to the visually-impaired athletes. Besides, it is suggested that a new study on how self efficacy-sufficiency concept is in the visually-impaired athletes and other individuals, and evaluation of how they are affected. In this concept, the general aim of this study is to analyze the levels of self efficacy-sufficiency of visually-impaired athletes.

REDUCING THE NUMBER OF PACKAGING IN THE CODING PROCESS AT PACKAGING UNIT USING THE SIX SIGMA METHOD

Non-dairy creamer is a product made at PT. NDC as a substitute for milk or cream, which is a fat emulsion product. Krimer is packed with a 25kg small bag with an updated coding according to the lot, production time, production date, product name, and packaging date expiration date. Often there is an error in the packaging unit, especially at the coding stage with the wrong non-dairy creamer packaging code that causes packaging defects. The defects in packaging focused on the coding stage, have to be minimized. The research uses the Six Sigma method as a useful tool to increase productivity and product quality. With DMAIC Discussion (Define, Measure, Analyze, Improve, and Control). Through data processing and analysis using the DMAIC cycle obtained three types of packaging defects, namely cryptic code, double code and wrong code from the three defects obtained percentage value of cryptic code 63%, double code 44% and wrong code 42% and obtained an average value sigma 3.71 with a DPMO value of 13,553

Size Estimation of Under-Reported Suicides and Suicide Attempts Using Network Scale up Method

To estimate (under reporting) UR of SDS (Suicide deaths) and SAS (suicide attempts) in Kermanshah Province which is among provinces with high suicide rate in Iran.For estimating the size of UR suicide death registers, all cases of SAS and suicide deaths were retrieved from forensic medicine and health centers. Then, using network scale up method, a sample of 500 cases, aged 18 to 65 years, were randomly selected from the general population on the basis of age - sex proportion. To find the 95% confidence interval, bootstrap technique was used. The average coverage of SDS was 58.4%, the lowest and highest coverage rate of SDS were attributed to self-immolation (34.2%) and hanging (81.2%), respectively. The coverage rate of SAS for self-immolation and deliberate self-poisoning were 82.4% and 77.2%, respectively. Size estimation of SAS by NSU method revealed that deliberate self-poisoning with medication (61.7%), poisoning with toxins and chemicals (20.6%), and self-immolation (7.7%) were the most frequent methods of SAS.Given the low coverage of suicide registers, all causes of death, especially deaths classified as accident or deaths with undetermined category, are required to be accurately registered. Investigations of causes of death, correction of wrong codes, as well as interviews with survivors to give them assurance can reduce the rate of suicide denial and result in increased accuracy of death register coverage.

Obfuscation of Embedded Codes in Additive Manufactured Components for Product Authentication.

Enhancement in the capabilities of additive manufacturing (AM) methods has led to development of many high-value components for aerospace, automotive and medical fields. Security concerns, such as (a) a predominantly cloud based process chain of AM may be breached and stolen files can be used for unauthorized reproduction of parts and (b) legitimately acquired parts can be reverse engineered, need to be addressed for this field to protect intellectual property and deter counterfeiting or unauthorized production. In the present work, a method of embedding an identification code inside the parts manufactured by AM methods is presented, which takes advantage of the layer-by-layer manufacturing process. The code is obfuscated by segmenting it into a specific number of parts, which are distributed throughout a large number of printed layers. In this case, viewing the code only from a specific direction is provides the correct visualization. A further obfuscation scheme is demonstrated that embeds multiple identification codes in the interpenetrating format. Only a specific set of processing conditions can lead to printing of the authentic code inside the part correctly. Numerous other conditions lead to printing of wrong code inside the part, which will lead to positive identification of counterfeit or unauthorized parts. Securing the AM process chain can help in accelerating the industrial applications of this versatile method.

Size Estimation of Under-Reported Suicides and Suicide Attempts Using Network Scale up Method

Objective:To estimate (under reporting) UR of SDS (Suicide deaths) and SAS (suicide attempts) in Kermanshah Province which is among provinces with high suicide rate in Iran. Methods:For estimating the size of UR suicide death registers, all cases of SAS and suicide deaths were retrieved from forensic medicine and health centers. Then, using network scale up method, a sample of 500 cases, aged 18 to 65 years, were randomly selected from the general population on the basis of age - sex proportion. To find the 95% confidence interval, bootstrap technique was used. Results: The average coverage of SDS was 58.4%, the lowest and highest coverage rate of SDS were attributed to self-immolation (34.2%) and hanging (81.2%), respectively. The coverage rate of SAS for self-immolation and deliberate self-poisoning were 82.4% and 77.2%, respectively. Size estimation of SAS by NSU method revealed that deliberate self-poisoning with medication (61.7%), poisoning with toxins and chemicals (20.6%), and self-immolation (7.7%) were the most frequent methods of SAS.Conclusion:Given the low coverage of suicide registers, all causes of death, especially deaths classified as accident or deaths with undetermined category, are required to be accurately registered. Investigations of causes of death, correction of wrong codes, as well as interviews with survivors to give them assurance can reduce the rate of suicide denial and result in increased accuracy of death register coverage.

Increasing Awareness and Recognition of Pediatric Physician Orders for Life-Sustaining Treatment (POLST) at an Academic Children’s Hospital: A Quality Improvement Project (QI708)

1.Describe the barriers to POLST recognition and subsequent ordering of correct code status on admission in the pediatric setting.2.Identify possible strategies to increase documentation of POLST awareness and ordering of correct code status on admission in the pediatric setting. When children are admitted to our institution using electronic admission orders, code status defaults to “full code.” POLST documents on file are often not recognized by the admitting team. As a result, there are instances in which code status is incorrectly ordered on admission. Increase documentation indicating POLST recognition by 5% and decrease inaccurate code status orders in EMR by 5% within 1 year. Pre-data was collected via chart review of patients on the Palliative Care Registry in Epic admitted within a two-month window. Documentation of the existence of POLST and whether the ordered code status was consistent with the POLST form was assessed. Intervention included adding a banner in Epic notifying admitting physicians of a POLST, with a corresponding hyperlink to POLST document. Post-data was collected by chart review of patients on the Palliative Care Registry admitted within a two-month window after intervention was implemented. Pre-intervention, 9% of available POLSTs were documented as recognized on admission. Three patients (11%) had incorrect code status ordered on admission. After intervention implementation, 12% of POLSTs were documented as recognized on admission. One patient (5%) had the wrong code status entered by the resident. This was recognized and corrected by the attending within several hours. After implementation of the POLST banner, there were less instances of the wrong code status being entered on admission, thus meeting smart aim of decreasing inaccurate code status orders. However, documentation of reviewing POLST remains low. We feel this may be secondary to the fact that the majority of POLSTs are filled out as full code, and banner alone may not be enough to trigger documentation. One future aim for this project includes adding a line to the standard admission H&P template indicating if POLST is present and reviewed by primary team.

KETIDAKTEPATAN KODE KOMBINASI HYPERTENSI PADA PENYAKIT JANTUNG DAN PENYAKIT GINJAL BERDASARKAN ICD 10 DI RUMAH SAKIT ISLAM IBNU SINA PEKANBARU

Code is provision fixing code by using letters and numbers or combination of letters and numbers that represent data component. Based on the preliminary survey result from 10 medical record file on diagnosis of hypertension combination, heart disease and kidney disease founded 6 (six) of them are wrong code. The objective of this research is to determine of inaccuracy disease code for hypertension complication of heart disease and kidney disease at Islamic Hospital Ibnu Sina Pekanbaru. The method use in this research is mix method (quantitative & qualitative). The populations in this research are 52 of inpatient medical record file taken by total sampling. The result of this research obtained that inpatient medical record file which accurate in determining of combination code are 21 (40%) and inpatient medical record file which inaccurate in determining of combination code are 31 (60%). The factor that causes inaccuracy of hypertension code combination in heart disease and kidney disease is due to lack competence of medical recorder in coding.

Efficient DS-UWB MUD Algorithm Using Code Mapping and RVM

A hybrid multiuser detection (MUD) using code mapping and a wrong code recognition based on relevance vector machine (RVM) for direct sequence ultra wide band (DS-UWB) system is developed to cope with the multiple access interference (MAI) and the computational efficiency. A new MAI suppression mechanism is studied in the following steps: firstly, code mapping, an optimal decision function, is constructed and the output candidate code of the matched filter is mapped to a feature space by the function. In the feature space, simulation results show that the error codes caused by MAI and the single user mapped codes can be classified by a threshold which is related to SNR of the receiver. Then, on the base of code mapping, use RVM to distinguish the wrong codes from the right ones and finally correct them. Compared with the traditional MUD approaches, the proposed method can considerably improve the bit error ratio (BER) performance due to its special MAI suppression mechanism. Simulation results also show that the proposed method can approximately achieve the BER performance of optimal multiuser detection (OMD) and the computational complexity approximately equals the matched filter. Moreover, the proposed method is less sensitive to the number of users.

Integrated Data Repository Toolkit (IDRT). A Suite of Programs to Facilitate Health Analytics on Heterogeneous Medical Data.

In recent years, research data warehouses moved increasingly into the focus of interest of medical research. Nevertheless, there are only a few center-independent infrastructure solutions available. They aim to provide a consolidated view on medical data from various sources such as clinical trials, electronic health records, epidemiological registries or longitudinal cohorts. The i2b2 framework is a well-established solution for such repositories, but it lacks support for importing and integrating clinical data and metadata. The goal of this project was to develop a platform for easy integration and administration of data from heterogeneous sources, to provide capabilities for linking them to medical terminologies and to allow for transforming and mapping of data streams for user-specific views. A suite of three tools has been developed: the i2b2 Wizard for simplifying administration of i2b2, the IDRT Import and Mapping Tool for loading clinical data from various formats like CSV, SQL, CDISC ODM or biobanks and the IDRT i2b2 Web Client Plugin for advanced export options. The Import and Mapping Tool also includes an ontology editor for rearranging and mapping patient data and structures as well as annotating clinical data with medical terminologies, primarily those used in Germany (ICD-10-GM, OPS, ICD-O, etc.). With the three tools functional, new i2b2-based research projects can be created, populated and customized to researcher's needs in a few hours. Amalgamating data and metadata from different databases can be managed easily. With regards to data privacy a pseudonymization service can be plugged in. Using common ontologies and reference terminologies rather than project-specific ones leads to a consistent understanding of the data semantics. i2b2's promise is to enable clinical researchers to devise and test new hypothesis even without a deep knowledge in statistical programing. The approach presented here has been tested in a number of scenarios with millions of observations and tens of thousands of patients. Initially mostly observant, trained researchers were able to construct new analyses on their own. Early feedback indicates that timely and extensive access to their "own" data is appreciated most, but it is also lowering the barrier for other tasks, for instance checking data quality and completeness (missing data, wrong coding).