Data Verification Research Articles

UTILIZING LEARNING POTENTIAL PROACTIVE STRATEGIES STUDENT MOTIVATION AND INTEREST IN LEARNING

This research was conducted qualitatively with a descriptive approach. Descriptive qualitative methods. To collect data by making direct observations in the classroom. Techniques and data collection use reduction, data presentation and data verification. In this research, the research subjects are students. The research object investigated is an effort to increase student interest and motivation. In this research, the teacher monitors the level of student activity using an observation sheet which has five different indicators. The observation results showed that the level of attention reached 62.50% of the maximum score, while the level of cooperation and social relations was 37.50%. Apart from that, 50.00% of students were also active in expressing opinions or ideas, while their problem solving ability reached 41.67%. The last indicator, namely discipline, reaches 50.00% of the maximum score

Entrepreneurial Challenges and Opportunities for Generation Z: A Qualitative Analysis

Entrepreneurial activities are one of the important pillars of economic development efforts. the characteristics of Generation Z in Indonesia require a life balance between the work environment and their social or personal life. This research aims to find out the dynamics of entrepreneurial interest in Generation Z which will be reviewed in depth by researchers. The research method used is qualitative. The subjects of this research are entrepreneurs from Generation Z. The data were collected online using the online data collection technique. Data collection was conducted online using online data collection techniques. Data collection was conducted online using in-depth interview techniques. The data analysis process in this study went through four stages, data collection, data reduction, data display, and data verification. The results of this study show that the dynamics of entrepreneurship that occur in Generation Z are found in educational background, experience, desire to have an impact on others, self-confidence, utilization of technology, and support from the surrounding environment to develop an interest in entrepreneurship until finally deciding to carry out entrepreneurial activities. This research is expected to provide new knowledge about the dynamics of entrepreneurial interest in Generation Z and is expected to increase entrepreneurial interest in Generation Z today.

Detecting irregularities in randomized controlled trials using machine learning.

Over the course of a clinical trial, irregularities may arise in the data. Trialists implement human-intensive, expensive central statistical monitoring procedures to identify and correct these irregularities before the results of the trial are analyzed and disseminated. Machine learning algorithms have shown promise for identifying center-level irregularities in multi-center clinical trials with minimal human intervention. We aimed to characterize the form-level data irregularities in several historical clinical trials and evaluate the ability of a machine learning-based outlier detection algorithm to identify them. Data irregularities previously identified by humans in historical clinical trials were ascertained by comparing preliminary snapshots of the trial databases to the final, locked databases. We measured the ability of a machine learning based outlier detection algorithm to identify form-level irregularities using concordance (area under the receiver operator characteristic), positive predictive value (precision), and sensitivity (recall). We examined preliminary snapshots of seven historical clinical trials which randomized a total of 77,001 participants. We extracted a total of 1,267,484 completed entries from 358 case report forms containing irregularities from all snapshots across all trials, containing a total of 24,850 form-wide irregularities (median per-form form-level irregularity rate: 1.81%). Our proposed machine learning algorithm detects form-level irregularities with a median concordance of 0.74 (interquartile range = 0.57-0.89), slightly exceeding the performance of a previously proposed machine learning approach with a median area under the receiver operator characteristic of 0.73 (interquartile range = 0.54-0.88). Data irregularities in historical clinical trials were ascertained by comparing preliminary snapshots of the trial database to the final database. These irregularities can be categorized according to their scope. Irregularities can be successfully detected by a machine learning algorithm as early or earlier than a human can, without human intervention. Such an approach may complement existing techniques for central statistical monitoring in large multi-center randomized controlled trials and possibly improve the efficiency of costly data verification processes.

Implementasi Media Flash Card untuk Meningkatkan Motivasi Belajar Peserta Didik Materi Fakta dan Opini Kelas IV Di SDN Gili Timur 1 Kamal

This research is motivated by the lack of student motivation in learning Indonesian, which is due to the limited availability of innovative learning media. Additionally, this research is tailored to the abilities of the students. The purpose of this study is to determine the level of student motivation in using flash card media in Indonesian language subjects at the elementary school level. The method used is a qualitative approach by conducting field research, with data obtained through observation, interviews, documentation, analysis, reduction, presentation, and data verification. The results of the study indicate that the use of flash card media can enhance student motivation in learning materials on facts and opinions, create an enjoyable classroom atmosphere, and foster student enthusiasm. Moreover, it helps students become more actively engaged in the learning process.

Research on the Quality Assessment and Protection of Network Security Body Based on Intelligent Induction and Deep Learning

This mechanism mainly saves the induction information in the distributed cloud storage node, and saves the message summary of the induction information in the block chain node, and then the corresponding relationship between the cloud storage node and the block chain node is saved in the induction information management machine. When the user reads the data, the identity authentication is first completed at the induction information management machine, and the induction information is obtained through the key, and finally the data verification is completed at the block chain node. The main advantages of this mechanism are: using block chain to store intelligent sensing information, and using chain storage to reduce the cost of storage, thus enhancing the scalability of block chain storage. This mechanism uses new hash chains to transmit inductive information, thus improving the security of transmission. Through this study proposes an access control strategy for intelligent sensing information. In this way, the user with the key can quickly complete the work certificate and complete the access, while the illegal intruder who does not hold the key cannot calculate the work certificate of the next block based on the existing block, so he cannot access the intelligence. Under the network topology set in this paper, the model with step 2 is significantly better than step 1 and 3, with 18.30% and 75.01% reduction on MAPE and 15.66% and 87.79% reduction on RMSE. Through hidden Markov, the security situation of the information system under the time series is determined. Through SSIPN, the security event is not used as a single situation assessment index, but the network topology and node vulnerability are included in the assessment scope to enhance the correlation between the security event and each node in the information system. Based on SSIPN, the weight allocation algorithm of the corresponding nodes is proposed, which accurately reflects the impact of the level of the nodes on the network on the overall situation, and realizes the security situation assessment of the overall network.

Coupled theoretical modelling for the photoelectric performance by the concave-bent flexible PV module

Flexible PV module can fit with complex building skins and provide electricity for the building users. However, for the concave bent PV module, the special structure will cast shadow on itself, resulting in power loss during the working conditions, which is rarely investigated in previous studies. Combined optical-electrical-thermal model is decoupled to describe the realistic physical field and predict the concave module's electrical power output and working temperature. The beam shading ratio (BSR) and the diffuse shading ratio (DSR) are proposed based on the microfacet subdivision, which describes the real-time solar irradiance distribution and quantify the influence of self-shadow on the photoelectric performance by the concave-bent module under dynamic real-time working conditions. The concave PV module with the longitudinal/lateral layout is constructed and outdoor experiments are conducted to collect the data for the theoretical model verification. The parametric analysis is carried out to investigate the influence of inclination, curvature, and azimuth, demonstrating that increasing inclination and curvature angles raise power loss due to shading. Weather data of four cities are imported into the model to conduct annual performance simulation with longitudinal/lateral installation respectively. The model established in this paper has significant value for performance prediction in complex surface photovoltaic systems.

Analysis of the Impact of the Existence of Kuala Namu Airport on the Income of Culinary Business MSMEs in Batang Kuis

The developments that take place in the Kuala Namu Airport area contribute to regional growth. Observations revealed that their income grew dramatically with the establishment of Kuala Namu airport. The purpose of this study is to assess the impact of the Kuala Namu Airport on culinary business MSMEs in Batang Kuis. This study combines field research with a qualitative descriptive method. This research data was gathered using observation techniques, interviews, and documentation studies. Data was evaluated using data reduction, data presentation, and data verification techniques, as well as SWOT analysis. The research findings explain that the existence of Kuala Namu Airport has had a positive impact on people's income, where before the airport, the average income of culinary business MSMEs in Batang Kuis was only IDR 3,645,000, and after the airport was built, the average income of people increased to IDR 10,447,500, with a 100% increase. Knowing your strengths and weaknesses, as well as potential possibilities and threats. Culinary Business MSMEs in Batang Kuis can be more prepared to use and optimize both the potential and opportunities that exist in the area, as well as to improve existing shortcomings and be ready to confront varied competitors or threats that occur.

Validation of the FF680 upper-arm blood pressure monitor according to the AAMI/ESH/ISO universal standard (ISO 81060-2:2018).

This study evaluated the accuracy of blood pressure measurement in adults using FF680 electronic blood pressure monitors with the Korotkoff-Sound method, in accordance with the Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO) universal standards (ISO 81060-2 : 2018). The study was conducted at Shijiazhuang People's Hospital and lasted 56 days, from May 26 to 21 July 2023. Participants, drawn from an adult demographic, underwent data verification and analysis with strict adherence to the trial protocol. For the FF680 electronic blood pressure monitor using the Korotkoff-Sound method, data from 85 valid participants were analyzed. The findings revealed mean differences (standard deviations) of -0.66 mmHg (2.45 mmHg) for SBP and -0.28 mmHg (2.09 mmHg) for DBP. SBP and DBP had standard deviations of ≤6.9 mmHg and ≤6.95 mmHg, meeting the standard requirements. FF680 devices are recommended for adult blood pressure monitoring because they meet the AAMI/ESH/ISO universal requirements (ISO 81060-2 : 2018).

Drivers of Change: Youth Action in Lempangang Village, Gowa Regency, South Sulawesi in the Service of Pancasila Village

The purpose of this article is a form of dedication to the Pancasila village in Boto Lempangang to strengthen the sense of unity among the community but also to make a real contribution to improving the quality of life of the village residents. Activities such as social service, education, skills training, and environmental initiatives are a means of implementing Pancasila values in everyday life. Their work has become an inspiration for other villages to work together to maintain and develop the values that are the identity of the Indonesian nation. This research uses qualitative research using a case study design. Data collection techniques include interviews, observations, and documentation. Data analysis techniques include data reduction, presentation, conclusion drawing, and verification stages. The research results show that the initiative carried out by the youth of Lempangang Village in the Kampung Pancasila program has had a significant positive impact on the local community. Through various programs such as agricultural counseling, national education and healthy living, developing MSMEs, and increasing food security, village youth have succeeded in strengthening local capacity and creating sustainable change. These programs not only improve economic welfare and public health but also strengthen national values and social solidarity.

Preservation of Cultural Values of Soli Lakta Mori Community Dance in Negeri Kuralele Teon Nilaseruadistrict, Central Maluku Regency

This research aims to explore and explain the process of preserving Soli Lakta Mori Dance culture in the lives of the people of Negeri Kuralele, Teon Nila Serua District, Central Maluku Regency. In this study, researchers used qualitative research methods as a basis for confirmation, verification, and analysis of data. The participants in this study were as follows: traditional leaders, religious leaders, Head of the Kuralele government, community leaders, and youth leaders. The focus indicators of this research are (1) forms of preservation, (2) ways of preservation, (3) sanctions given, and (4) inhibiting factors and driving factors for preserving the cultural values of Soli Lekta Mori Tari. There are several techniques that researchers have used to obtain data in the study, namely interviews and documentation. Data analysis techniques in this study are data reduction, data presentation, and conclusion drawing. Conclusion is the form of preservation of Soli Lakta mori dance carried out in Kuralele village, TNS sub-district has become an ancestral heritage that is passed on to the younger generation so that the value of the life of basudara people in Kuralele village, TNS sub-district can be formed in the social life order. The way to preserve Soli Lakta mori dance is (a) by finding out about culture, (b) participating in cultural activities, (c) teaching others about culture, (d) teaching culture at school, (e) posting culture on social media, and (f) not being influenced by foreign cultures. Keywords: values, soli lakta mori dance, kuralele village, preservation

IMPLEMENTASI MODEL PEMBELAJARAN TEMATIK BERBASIS COOPERATIVE LEARNING KELAS II DI MI NU KESESI

Thematic learning is a learning activity that integrates material from several subjects in one theme/topic of discussion. Thematic learning will provide integrated learning opportunities that place more emphasis on student participation/involvement. A teacher who wants the teaching and learning process to be successful must be able to choose and determine the thematic learning model that will be used in the teaching and learning process, so that it can stimulate the enthusiasm of each student to be actively involved in their learning experience. This research aims to describe how the class II thematic learning model is implemented at MI NU Kesesi. This research method uses a descriptive qualitative approach with a field research type where data collection techniques use observation, interviews and documentation. The collected data was analyzed through 3 stages, namely data reduction, display and data verification. The results of this research show that the implementation of thematic learning carried out at MI NU Kesesi using the cooperative learning model is considered to be very appropriate to the conditions of the students and the students' abilities, which can be seen from the great enthusiasm of the students in participating in learning when using the cooperative learning model. . And the teacher attracts students' activity by asking questions about the material and relating it to everyday life.

The Principal's Strategy in Implementing the Value of Religious Moderation in the Pancasila Student Profile Strengthening Project

The issue of intolerance and radicalism among students must be taken seriously by school principals, who play a crucial role in managing the learning process, including in the P5 program. This research analyses the principal’s strategy in implementing the value of religious moderation in P5 and its implications for student character and school culture. This study is a qualitative research project using a case study method. Data collection methods included interviews, observations, and documentation, and the data were analyzed through reduction, presentation, and conclusion. Data verification was achieved through triangulation of sources and methods. The research results show that the principal's strategy for implementing the value of religious moderation in P5 involves three main approaches: process, program, and culture strategies. The process strategy includes planning, implementation, evaluation, and follow-up. The program strategy encompasses structuring P5 activities based on teamwork and partnerships with external parties. Meanwhile, the cultural strategy utilizes habituation activities to support the values and meaning of moderation within P5. The strategy implemented has had implications for student character, fostering awareness, tolerance, care, love for the country, and teamwork. Additionally, they have promoted a disciplined and collaborative school culture.

Live research dialogue on the benefits, costs and utility of synthetic data for researchers

Objectives To explore use cases and characteristics of synthetic data that make it useful for research. To discuss governance frameworks essential for the routine creation, dissemination, and use of synthetic data. Drawing on the experience of international participants, explore measures to mitigate risks to data privacy and public perception relating to synthetic data creation and use whilst maximising its utility. ApproachPresenters provided context and insights on definitions and interpretations of synthetic data, including debates about fidelity and disclosure risk; known benefits of synthetic data and use cases; and its costs and challenges from the perspective of data owners, data providers and the public. This informed discussions in breakout groups aligned to the objectives. Participants self-identified as data service providers/processors, academic researchers, data owners, and/or ‘other’. Results Characteristics identified as important across a variety of use cases included accessibility, structure and format to match the real data, and documentation. The most popular measure to mitigate risks was clear and detailed documentation (metadata, codebooks, user guides, limitations, creation methods etc). Training was identified as an important benefit and use case of synthetic data across the participant groups. The most popular challenge identified by data service providers/processors and ‘other’ was lack of governance and standards; whilst for researchers, this was the verification of the synthetic data and the potential for it to be incorrectly interpreted. ConclusionsThere is a demand across stakeholder groups for synthetic data for a range of uses. Synthetic datasets should be accompanied by clear and detailed documentation and provided within an agreed governance framework.

Pelaksanaan Layanan Administrasi Kesiswaan di MAN 2 Palembang

This research is titled "Implementation of Student Administrative Services at MAN 2 Palembang." The aim of this study is to analyze how the implementation of student administrative services is carried out at MAN 2 Palembang. This research is a field study, employing a qualitative descriptive approach. Data collection techniques include observation, interviews, and documentation. Data analysis techniques consist of data reduction, data presentation, data verification, and drawing conclusions. The validity of the research data is ensured through source triangulation and technique triangulation. The results of the study indicate that the implementation of student administrative services at MAN 2 Palembang is well underway. The research findings demonstrate that student administrative services at MAN 2 Palembang are effectively executed, encompassing aspects such as effective guidance in the admission of new students, student discipline regulation, guidance and counseling documentation, as well as student learning progress recording. Effective guidance assists students in understanding the process of new student admission clearly, ensuring their comprehension without difficulty, setting clear objectives, and planning strategies to achieve them. Student discipline regulations ensure discipline and responsibility among students, while guidance and counseling documentation provide appropriate guidance and support. Recording student learning progress serves to provide a comprehensive overview of student development and aid them in their educational journey at MAN 2 Palembang.

STUDI KEANEKARAGAMAN OLAH TUMBUHAN BERKHASIAT OBAT DI KELURAHAN PASAR TELUKDALAM KECAMATAN TELUKDALAM

Based on the research focus, it aims to study the diversity of plants with medicinal properties in Pasar Telukdalam Village, Telukdalam District. This research aims to find out what types of medicinal plants are used by the community in Pasar Telukdalam Pasar Telukdalam Village as well as their benefits and what diseases can be cured. This type of research is qualitative with a case study approach. This research data was analyzed using data reduction, verification and drawing conclusions. The results of this research are that the types of medicinal plants used by the community in Pasar Telukdalam Village are ginger, turmeric, bitter gourd and galangal. Diseases that can be cured by medicinal plants that are used by people in Telukdalam Market Village are the ability to soothe a dry throat, overcome flatulence, overcome high stomach acid and are very good for helping to overcome coughs, shortness of breath, due to asthma, helping to relieve breathing, helps overcome nasal congestion and relieves the effects of a throbbing head due to flu. Suggestions for the community, it is hoped that this research can provide information to the community in using medicinal plants in Pasar Telukdalam Village, Telukdalam District and for Nias Raya University, it is hoped that the results of this research can enrich and add sources of information for Nias Raya University students, especially in plant processing. medicinal properties.

DSDM-TCSE: Deterministic storage and deletion mechanism for trusted cloud service environments

The separation of data ownership and management rights in cloud storage architectures results in losing control over outsourced data, making it challenging to achieve deterministic deletion and verify-deletion results. This predicament precipitates security vulnerabilities that impede the advancement of cloud services. This study proposes a deterministic storage and deletion mechanism for trusted cloud service environments (DSDM-TCSEs). This mechanism establishes a three-layer cloud data interaction framework, adopting blockchain as the communication intermediary layer, and employs techniques such as overwrite key negotiation strategy and CP-ABE encryption to achieve fine-grained storage, deletion control, and deletion result verification of cloud data, effectively isolating the cloud service provider and protecting data privacy. It also proposes an efficient evidence strategy based on a cuckoo filter and data noise vectors for rapid construction and verification. Experimental results show that this method improves the speed of evidence construction and verification by 83% compared to related schemes and saves 5% storage overhead when the number of attributes is large, demonstrating good time and space performance and providing a solid guarantee for achieving deterministic storage and deletion in trusted cloud services.

Distributed Medical Data Storage Mechanism Based on Proof of Retrievability and Vector Commitment for Metaverse Services.

The metaverse is a unified, persistent, and shared multi-user virtual environment with a fully immersive, hyper-temporal, and diverse interconnected network. When combined with healthcare, it can effectively improve medical services and has great potential for development in realizing medical training, enhanced teaching, and remote surgical treatment. The metaverse provides immersive services for users through massive and multimodal data, and its data scale and data growth rate are bound to show exponential growth. Blockchain-based distributed storage is a fundamental way to keep the metaverse running continuously; however, many blockchains, such as Ethereum and Filecoin, suffer from low transaction throughput and high latency, which seriously affect the efficiency of distributed storage services and make it difficult to apply them to the metaverse environment. To this end, this paper first proposes a network architecture for distributed storage systems based on proof of retrievability to address the problem of centralized decision making and single point of access in centralized storage. The secure data storage of the metaverse health system is ensured. Secondly, we designed two data transmission protocols through vector commitment and encoding functions to achieve the transfer of time cost from the critical path to storage nodes and improve the efficiency of data verification between nodes as well as the scalability of the metaverse health system. Finally, this paper also conducts security analysis and performance analysis of the proposed scheme, and the results show that our scheme is secure and efficient.

Clinical Observation of Infarct Volume ≥150mL in Endovascular Thrombectomy Treatment.

Whether patients with infarct volume ≥150mL could benefit from endovascular thrombectomy (EVT) remains unclear. Patients (n=104) with anterior circulation Alberta Stroke Program Early Computed Tomography Score <6 were screened for infarct volume ≥150mL using the Pullicino formula × (1-22%). The following were compared with the baseline at 90 days: the modified Rankin scale score (mRS) ≤3, mortality rate, symptomatic intracranial hemorrhage and any intracranial hemorrhage within 48 hours, and modified Thrombolysis in Cerebral Infarction (mTICI) ≥2b between the EVT and drug therapy (DT) groups. In patients with infarct volumes ≥150mL, mRS≤3 at 90 days was higher in the EVT group than in the DT group [adjusted odds risk (aOR), 5.52; 95% CI: 1.10-28.24, P =0.04), and mTICI ≥2b at 82.8%. Intracranial hemorrhage within 48 hours occurred in 7 (24.1%) patients in the EVT group and 5 (14.7%) in the DT group (aOR, 0.75; 95% CI: 0.16-3.46; P =0.71). Older age (aOR, 0.94; 95% CI: 0.90-0.99, P =0.01), EVT treatment (aOR, 4.51; 95% CI: 1.60-12.78, P =0.01), and infarct volume ≥150mL (aOR, 0.11; 95% CI: 0.04-0.31, P <0.01) were significantly associated with patient prognosis. Patients with infarct volume ≥150mL who received EVT had a higher proportion of mRS≤3 compared with those who received DT. However, there was no statistically significant difference in intracranial hemorrhage and death between the groups. EVT, smaller infarct volume, and younger age were associated with a good prognosis. The findings require large sample data verification.

Development and verification of prognostic nomogram for extraskeletal Ewing's sarcoma based on the SEER database

BackgroundExtraskeletal Ewing's sarcoma (EES) is a rare tumor, and there is currently no predictive model for overall survival of EES patients. This study sought to use data from the Surveillance, Epidemiology, and End Results (SEER) database to develop a clinical predictive model that could be used to assess the prognosis of EES patients. MethodsWe selected and downloaded prognostic data on 356 patients diagnosed with extraskeletal Ewing’s sarcoma based on screening criteria,These patients were distributed between 2004 and 2015. 356 patients were randomly divided into a training cohort (70%) and an internal validation cohort (30%). After univariate or multifactor Cox regression analysis, the relevant variables were screened and a nomogram was constructed. The consistency index (C-index), calibration chart and receiver operating characteristic (ROC) curve were used to evaluate the established nomogram. The clinical utility of the model was verified by clinical decision curve.Study conducted and outcomes reported according to STROBE statement. ResultsAfter multifactor regression analysis, we identified five factors that were significantly associated with EES prognosis, and subsequently established a nomogram. Verification data showed that the C-index of this nomogram was 0.829 (95% CI 0.774 -- 0.884). the AUCs of the nomogram for predicting the 3- and 5-year OS were 0.91 and 0.863. the calibration curves and Decision curve analysis showed that nomogram could predict the prognosis of EES patients. ConclusionStage, age, tumour size, chemotherapy, and surgery may be independent prognostic factors for EES. our study produced a survival nomogram that can be used to predict the prognosis of patients with EES and validated its performance, which may help clinicians evaluate the condition of patients with EES and choose personalized treatment.

Implementation of the Independent Curriculum: Educational Innovation that Encourages Learning Independence

This study aims to analyze the implementation of the Independent Curriculum in Madrasah Aliyah Negeri 2 Palembang using a qualitative descriptive approach. This research involves subject teachers, madrasah heads, curriculum waka, and students as key and supporting informants. Data collection was carried out using semi-structured interview techniques, non-participatory observation, and documentation. The data obtained was analyzed through four stages: data reduction, data display, data verification, and drawing conclusions to describe the implementation of the curriculum in depth. The results of research related to the implementation of the Independent Curriculum at Madrasah Aliyah Negeri 2 Palembang show a significant impact on students' academic and social performance. Academically, curriculum flexibility allows students to choose topics and learning methods according to their interests, leading to improved academic understanding and skills. Project-based and research-based learning methods develop critical thinking and problem-solving skills, as evidenced by better academic outcomes and increased achievement. On the social side, the curriculum strengthens collaboration and communication skills between students through group projects and community activities. This increases students' sense of community and confidence, as well as their participation in extracurricular activities. However, challenges such as unequal access to resources and limited teacher training need to be addressed. With adequate support and periodic evaluation, the positive impact of the Independent Curriculum is expected to be maximized, encouraging the holistic development of students at Madrasah Aliyah Negeri 2 Palembang.