Data Reduction Research Articles

Principal's Leadership Style In The Era Of Globalization In An Effort To Improve Teachers' Performance Teacher Performance at SMP Teuku Nyak Arif Fatih Bilingual School

This study aims to 1) describe the development of the principal's leadership style in the era of globalization in an effort to improve teacher performance at Teuku Nyak Arif Fatih Bilingual School Banda Junior High School, 2) to find out the effectiveness of the development of a clear development of the leadership style of school leaders in the era of globalization in an effort to improve teacher performance at Teuku Nyak Arif Fatih Bilingual School Banda Aceh Junior High School, and 3) can evaluate the development of school leadership styles in the era of globalization in an effort to improve teacher performance at Teuku Nyak Arif Fatih Bilingual School Banda Aceh Junior High School. This research uses a qualitative approach and a descriptive method. The subjects of this study consist of principals, teachers, and administrative staff of Teuku Nyak Arif Fatih Bilingual School Banda Aceh Junior High School. Data collection techniques with observation, interviews and documentation studies. The data analysis techniques used are data reduction, data display and drawing conclusions. The results of this study are: 1) the development of the principal's leadership style in the era of globalization in an effort to improve teacher performance 2) the implementation of the role of the principal in an effort to improve teacher performance, so as to help foster an increase in the understanding of the school community in improving teacher performance and 3) the implementation of the principal's leadership in an effort to improve performance through the school and can foster the awareness of school residents on the importance of improving teachers' performance to be taught from an early age which will develop into a culture for them.

Management of Islamic Philanthropy-Based Education Financing in Increasing Access to Free Education for Orphans Children

The article describes the management of Islamic philanthropy-based education financing in increasing access to free education for orphans and poor children at the Raudhatul Ulum Islamic boarding school, Sumberanyar Village, Lumajang Regency, East Java. This research uses qualitative research obtained by researchers based on data in the field. The research period starts from December 2023 to February 2024. The data source in this research is primary data obtained through interviews and direct observation with informants. The data analysis steps used in this research are the Interactive Analysis Model from Miles and Huberman: data reduction, data display, and conclusion drawing. Based on the research results after being dialogued with the results of the conceptual study, it can be described as Islamic philanthropy-based education financing management in Islamic boarding schools. Raudhatul Ulum Lumajang Regency includes three activities: planning sources of philanthropy-based education financing (waqf and infaq), allocating and distributing philanthropic fund financing, and monitoring and accountability (auditing) of philanthropic funds.

EFL Students’ Needs in Promoting English Speaking Skills at Lower Secondary Schools

EFL Students’ needs for spoken English are considered important to fulfill, and the idea to capture what they need requires some ways and efforts so as to make them eager and keen on practicing English better. However, an analysis on needs environment is not much discussed and conducted for EFL students, mainly in lower secondary schools. Thus, the aim of this study is to examine the needs of EFL students in terms of enhancing their English-speaking skills in lower secondary schools. Three ninth-grade students from three distinct lower secondary schools located in Depok, West Java, Indonesia were the subjects of the research. This study employed a qualitative design with descriptive analysis, and the instrument used to collect the data was semi-structured interviews. The resulting data was analyzed with some steps such as reduction of data, data display, and data presentation. The results demonstrated that EFL students’ English-speaking proficiency is influenced by a variety of needs, including necessities, lacks, and wants. Considering the significance of these needs in the enhancement of EFL students' English-speaking abilities, it is advisable that teachers of English should comprehend and employ efficient learning strategies and stimulating learning media that facilitate the progress of students' English-speaking capabilities.

Tourist Guide Writing Project: Assisting 4C Skills through Project-Based Learning in English for Tourism

One of the recommended teaching methods in the Indonesia’s Merdeka Belajar (Freedom to Learn) Curriculum is Project-based Learning (PjBL). This research aims to explore the implementation of PjBL in assisting the students’ 4C skills through a writing project in English for Tourism Class in Indonesia. This research employed a qualitative design to investigate the PjBL implementation by the teacher to the fifth semester students at a Tour Guiding Program. An open-ended questionnaire, interview, and teacher reflective notes were conducted to collect the data. The data analysis included data reading and categorization, data matching, data reduction, data display and interpretation, and drawing conclusions. The results showed that PjBL gave the opportunities to train the students’ 4C skills through group tasks, data collection, presentation, and the tourist spot visit. They also learned to develop an English writing text more meaningfully, and to construct knowledge about tourism from the real-world context. The challenges found were time limitation, student different characteristics, and teacher’s limited experiences. Teachers who are eager to apply PjBL may use this teaching procedure in this research with the considerations of these challenges and classroom needs. Besides, supplementing an observation method and expanding the research scope are recommended for future research

Primordialisme dalam problematika childfree (Studi Kasus Etnografi Pada Masyarakat Kelurahan Mlajah, Kabupaten Bangkalan)

The Madurese people can be said to be an ethnic group that upholds existing cultural values. Just like when Kyai's descendants are required to marry Kyai's descendants as well. This research focuses on the phenomenon where the condition of the Madura community mentioned has a rejection of new ideas such as Childfree. In the initial observation of the researcher at the research location, namely in Mlajah Village, Bangkalan Regency, there was a condition where the environment had been transformed like the life of the metropolitan community and it was found that there were people there who had an understanding of the concept of Childfree. The theory used in this study is Albert Bandura's Social Cognitive Theory. This type of research is qualitative with an ethnographic case study approach. The paradigm used in this study uses the post-positivism paradigm. The technique for determining informants in this study uses a purposive sampling technique, where the researcher determines the conditions and criteria for a person to become a research informant. The data collection techniques in this study include observation, interviews, documentation and literature studies. The data validity technique in this study uses Miles and Huberman's interactive model, which includes, data collection, data reduction, data presentation and conclusion drawn.

Analisis Kesulitan Belajar Matematika pada Materi Diagram Batang Siswa Kelas IV SDN Kalicari 01 Semarang

Mathematics learning is considered challenging for many students, with some sh. owing little interest or motivation to engage with the subject. This is often due to difficulties encountered during the learning process. This study aims to analyze students' difficulties in learning Mathematics, specifically focusing on bar diagram topics. The research employs a qualitative method with a descriptive approach. Data collection techniques include interviews, observations, and documentation. Data analysis involves data collection, data reduction, data presentation, and drawing conclusions. Findings from the study reveal that the majority of Grade IVA students at SDN Kalicari 01 Semarang experience difficulties in remembering technical terms such as X-axis, Y-axis, and frequency. They also struggle with explaining bar diagram concepts in their own words and recalling the steps involved in creating bar diagrams. Efforts to address these challenges include implementing a more structured learning approach, actively interacting with class and support teachers for guidance, and utilizing aids or interactive media to enhance student engagement and comfort in learning. Additionally, remedial activities are conducted to help students improve their grades and assist teachers in assessing student learning progress

Human translesion DNA polymerases ι and κ mediate tolerance to temozolomide in MGMT-deficient glioblastoma cells.

Glioblastoma (GBM) is a highly aggressive brain tumor associated with poor patient survival. The current standard treatment involves invasive surgery, radiotherapy, and chemotherapy employing temozolomide (TMZ). Resistance to TMZ is, however, a major challenge. Previous work from our group has identified candidate genes linked to TMZ resistance, including genes encoding translesion synthesis (TLS) DNA polymerases iota (Polɩ) and kappa (Polκ). These specialized enzymes are known for bypassing lesions and tolerating DNA damage. Here, we investigated the roles of Polɩ and Polκ in TMZ resistance, employing MGMT-deficient U251-MG glioblastoma cells, with knockout of either POLI or POLK genes encoding Polɩ and Polκ, respectively, and assess their viability and genotoxic stress responses upon subsequent TMZ treatment. Cells lacking either of these polymerases exhibited a significant decrease in viability following TMZ treatment compared to parental counterparts. The restoration of the missing polymerase led to a recovery of cell viability. Furthermore, knockout cells displayed increased cell cycle arrest, mainly in late S-phase, and lower levels of genotoxic stress after TMZ treatment, as assessed by a reduction of γH2AX foci and flow cytometry data. This implies that TMZ treatment does not trigger a significant H2AX phosphorylation response in the absence of these proteins. Interestingly, combining TMZ with Mirin (double-strand break repair pathway inhibitor) further reduced the cell viability and increased DNA damage and γH2AX positive cells in TLS KO cells, but not in parental cells. These findings underscore the crucial roles of Polɩ and Polκ in conferring TMZ resistance and the potential backup role of homologous recombination in the absence of these TLS polymerases. Targeting these TLS enzymes, along with double-strand break DNA repair inhibition, could, therefore, provide a promising strategy to enhance TMZ's effectiveness in treating GBM.

Construction and application of an ICU nursing electronic medical record quality control system in a Chinese tertiary hospital: a prospective controlled trial

BackgroundICU nurses provide critical care and meticulously document electronic medical records (EMRs), tracking vital signs, interventions, and medication hourly. Despite China’s ICUs effectively integrating real-time monitor and ventilator data into EMRs, challenges persist. Patient movements can introduce inaccuracies, and the demands of critical care may lead nurses to miss assessments like pain and nutrition. Traditional manual EMR verification is inefficient and error-prone, highlighting the urgent need for standardized, technology-aided EMR practices in ICU nursing.ObjectiveThis study aimed to describe the development and evaluation of an electronic medical records quality control system implemented in a Chinese tertiary care ICU setting, where current practices impact the accuracy of electronic medical records.MethodsA prospective controlled trial was conducted with 600 ICU patients in Zhejiang Province from January to December 2023. An automated EMR quality control system was implemented in July 2023, facilitating real-time data collection and quality control for vital signs, medication management, and nursing evaluations.ResultsAfter implementing the ICU nursing electronic medical record quality control system, the prevalence of false data on vital signs decreased from 9 to 1.33%. Additionally, the incidence of incomplete medication administration dropped from 3.33 to 1.67%, and the rate of missing evaluations of assessment items in EMRs was reduced from 8 to 1.33%. Besides, the average time spent on quality control of the electronic medical records was 62 (48,76) seconds per record, which was significantly lower than the 264 (195.5,337.5) seconds using the traditional method. The nurses’ satisfaction with the nursing electronic medical record quality control was (105.73 ± 9.31).ConclusionsThe ICU nursing electronic medical record quality control system has led to substantial improvements in the quality and reliability of EMRs. The reduction in false data on vital signs, instances of incomplete medication administration, and missing evaluations of assessment items demonstrates the system’s positive impact on nursing documentation practices. These improvements not only enhance the accuracy of patient records but also contribute to better patient care and safety within the ICU setting.

A noise-reduction algorithm for raw 3D point cloud data of asphalt pavement surface texture

High-precision 3D point cloud data have various analyses and application use cases. This study aimed to achieve a more precise noise reduction of the raw 3D point cloud data of asphalt pavements obtained using 3D laser scanning. Hence, a noise-reduction algorithm integrating improved Gaussian filtering and coefficient of variation was developed. A portable laser scanner was used to collect raw, high-precision 3D point cloud data of surface textures from pavement slab samples prepared with three different types of asphalt mixtures: AC-13, SMA-13, and OGFC-13, as well as asphalt from the test sections of the Yakang Expressway. An improved Gaussian filtering and Gaussian filtering that extracts noise using the coefficient of variation were used to filter out the obvious outlier noise and small-scale burr noise, respectively. Finally, the filtering effect of the proposed algorithm, Gaussian filtering, median filtering, and mean filtering on raw 3D point cloud data of pavement textures was evaluated through subjective visual quality and objective index evaluations. The results showed that the proposed algorithm filters out noise while preserving the micro-texture structure information, outperforming Gaussian filtering, median filtering, and mean filtering.

Boosting interclass boundary preservation (BIBP): a KD-tree enhanced data reduction algorithm

Boosting interclass boundary preservation (BIBP): a KD-tree enhanced data reduction algorithm

Simulation-based data reduction and data processing for sheet metal forming in the hybrid twin framework

Simulation-based data reduction and data processing for sheet metal forming in the hybrid twin framework

KETAATAN MASYARAKAT DESA BAHU HALMAHERA SELATAN TERHADAP LARANGAN PERKAWINAN BULAN MUHARRAM PERSPEKTIF SOSIOLOGI HUKUM ISLAM

AbstractThe people of South Halmahera, especially Bahu Village, have a prohibition on marriage in the month of Muharram, they are not allowed to hold weddings, the prohibition on marriage is due to several influencing factors, the customary rules that prohibit marriage in the month of Muharram are a fear factor, the community believes that if they violate tradition they will experience disaster, such as the wedding not going smoothly, the family is not harmonious, the family economy will decline and it will be difficult to restore it, and the psychological factor is that people who violate the customary rules of marriage during the month of Muharram often have arguments in their households, there is no peace and discomfort. Meanwhile, in the sociological theory of Islamic law, the factors that influence the prohibition of marriage in the month of Muharram must also be seen from a historical, social and religious perspective. On the other hand, the tradition of prohibiting marriage during the month of Muharram is maintained because the custom of using traditional figures as role models is inherited from ancestors. The aim of the research is to determine the community's understanding of the custom of prohibiting marriage in the month of Muharram in Bahu1 Village, to find out the factors that influence community compliance with the custom of prohibiting marriage in the month of Muharram, to find out the community's obedience to the custom of prohibiting marriage in the month of Muharram from an Islamic Legal Sociology Perspective. The data collection method is through surveys, documentation and in-depth interviews with the community related to the research objectives. Data analysis is carried out by data reduction and data presentation, namely the process of compiling complex information in a systematic form so that it is simpler and its meaning can be understood. Results and discussion, consider factors that show that the obedience of the Bahu Village community to the prohibition of marriage in the month of Muharram can be understood as the result of a complex interaction between social, cultural and Islamic legal factors. Demonstrates the importance of understanding the local context and social dynamics in analyzing behavior and compliance with the prohibition on marriage in the month of Muharram, which is still considered 'urf shahih, carried out by the people of Bahu Village Keywords: Prohibition of Marriage in the Month of Muharram, Sociological Perspective, Islamic Law

The Structure of Students’ Mathematical Errors in Solving Calculus Problems Based on Cognitive Style

The understanding mathematical concept is an error that often occurs in classroom learning among students when solving mathematical problems. The most difficult part for students is solving problems, because it requires numeracy skills, high concept mastery, as well as the ability to use good language, and so on so that students don’t make any more mistakes when working on math problems. Student errors in solving mathematics problems are (1) errors in connecting concepts, (2) errors in operations and (3) errors in constructing concepts. The problem is what is the structure of students’ mathematical misconceptions in solving mathematical problems based on cognitive style. The method in this research, namely an exploratory descriptive approach, aims to determine the structure of students’ errors based on cognitive style in solving mathematical problems. Analysis of research data, namely: (1) Data reduction, (2) Data exposure, (3) data triangulation and (4) drawing conclusions. The cognitive styles referred to are field dependent and independent. The conclusions are (1) the structure of conceptual errors with an applied field dependent cognitive style begins with disequilibrating, then solving by linking applicable concepts, and (2) the structure of conceptual errors with a field independent cognitive style begins with disequilibrating, then solving using analyse.

Rapid detection of rare events from in situ X-ray diffraction data using machine learning

High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk form. These methods are often combined with external stimuli such as thermo-mechanical loading to take snapshots of the evolving microstructure and attributes over time. However, the extreme data volumes and the high costs of traditional data acquisition and reduction approaches pose a barrier to quickly extracting actionable insights and improving the temporal resolution of these snapshots. This article presents a fully automated technique capable of rapidly detecting the onset of plasticity in high-energy X-ray microscopy data. The technique is computationally faster by at least 50 times than the traditional approaches and works for data sets that are up to nine times sparser than a full data set. This new technique leverages self-supervised image representation learning and clustering to transform massive data sets into compact, semantic-rich representations of visually salient characteristics (e.g. peak shapes). These characteristics can rapidly indicate anomalous events, such as changes in diffraction peak shapes. It is anticipated that this technique will provide just-in-time actionable information to drive smarter experiments that effectively deploy multi-modal X-ray diffraction methods spanning many decades of length scales.

The Implementation of Muwashofat Tarbiyah in the Formation of Character in Darul Azhar Islamic Boarding School

Muwashofat Tarbiyah is 10 Muslim characteristics proposed by Hasan AlBana, this character must be owned by every Muslim so as to make them a Muslim with Islamic character. Muwashofat Tarbiyah can be applied in every educational institution in order to create students who have Islamic character. this research uses a qualitative method with a field research approach that tends to be descriptive and naturalistic. collecting research data by conducting observations at Yayaysan Darul Azhar Sejahter which includes SMPS IT Darul Azhar and MAS Darul Azhar. As well as conducting interviews with foundation coaches, principals, teachers and students and collecting documentation. Data analysis used is in line with the opinion of Miles and Huberman with data reduction techniques, data presentation and conclusion drawing. The application of Muwashofat Tarbiyah can be a solution in times of moral decline and the character of the nation's children, thus making every learner a human being who has good characteristics. holding fast to Aqidah, always worshiping Allah, having praiseworthy morals, having a strong and tough physique, having broad and global insights, and being able to fight bad desires, being able to manage time so that they are able to organize every business in an orderly manner, and being independent of themselves, so that they can benefit themselves and the surrounding community.

Extremely-Compressed SSDs with I/O Behavior Prediction

As the data volume continues to grow exponentially, there is an increasing demand for large storage system capacity. Data compression techniques effectively reduce the volume of written data, enhancing space efficiency. As a result, many modern SSDs have already incorporated data compression capabilities. However, data compression introduces additional processing overhead in critical I/O paths, potentially affecting system performance. Currently, most compression solutions in flash-based storage systems employ fixed compression algorithms for all incoming data without leveraging differences among various data access patterns. This leads to sub-optimal compression efficiency. This paper proposes a data-type-aware Flash Translation Layer (DAFTL) scheme to maximize space efficiency without compromising system performance. First, we propose an I/O behavior prediction method to forecast future access on specific data. Then, DAFTL matches data types with distinct I/O behaviors to compression algorithms of varying intensities, achieving an optimal balance between performance and space efficiency. Specifically, it employs higher-intensity compression algorithms for less frequently accessed data to maximize space efficiency. For frequently accessed data, it utilizes lower-intensity but faster compression algorithms to maintain system performance. Finally, an improved compact compression method is proposed to effectively eliminate page fragmentation and further enhance space efficiency. Extensive evaluations using a variety of real-world workloads, as well as the workloads with real data we collected on our platforms, demonstrate that DAFTL achieves more data reductions than other approaches. When compared to the state-of-the-art compression schemes, DAFTL reduces the total number of pages written to the SSD by an average of 8%, 21.3%, and 25.6% for data with high, medium, and low compressibility, respectively. In the case of workloads with real data, DAFTL achieves an average reduction of 10.4% in the total number of pages written to SSD. Furthermore, DAFTL exhibits comparable or even improved read and write performance compared to other solutions.

Sustainable Development: Driving and Inhibiting Factor Affecting the Clean Water Management System in Indonesia

This research aimed to understand the driving and inhibiting factors affecting the clean water management system in Indonesia at the ontological and sociological levels based on the public policy perspective. This research adopted a qualitative method. Data were collected through observation and documentation. Data analysis used interactive steps, which were data reduction, data display, and data verification, supported by triangulation. The results indicated that the driving and inhibiting factors affecting the clean water management system in Indonesia and its implementation provided inputs for developing better regulation and policies for state agencies as public officials and practitioners in managing the clean water management system in Indonesia.

Implementation of Character Education Values in Elementary School Age Students in Nurul Huda Islamic Boarding School

purpose of this study is to identify and analyze the inculcation of character education, as well as to identify and analyze the impact of character for education on students of elementary school at the Nurul Huda Islamic Boarding School. This type of research is qualitative, with the subject being caregivers, administrators, and the person in charge of the Nurul Huda Islamic Boarding School. Data collection techniques using observation, interviews, and documentation. The data analysis technique uses data reduction, data display, and conclusions. The results showed that the cultivation of character education at Islamic Boarding School of Nurul Huda Pesanggrahan consisted of character values ​​believing in the existence of Almighty God and always obeying His commands, tolerance, discipline, responsibility, developing self-potential, love and compassion, respect, etiquette, courtesy, honesty, and independence. The impact that arises is the increasing understanding and ability of students in applying character values, believing in the existence of God Almighty and always obeying His commands, tolerance, discipline, responsibility, developing self-potential, love and compassion, respect, manners and courtesy, honesty and independence.

The Coastal Community Empowerment in Indonesia as Sustainable Development

This research aimed to understand the coastal community empowerment in Indonesia related to the ontological and sociological levels based on a collaborative governance perspective. The problem was analyzed by conducting a qualitative study. Data were collected through observation and documentation. Data were analyzed using interactive steps, such as data reduction, data display, and data verification, supported by triangulation. The results indicated that coastal community empowerment in Indonesia and its implementation were needed for providing stakeholders with information. This results offers input for developing improved regulations and policies for state agencies serving as public officials and practitioners who manage coastal community empowerment.

Key kinematic measures of sensorimotor control identified via data reduction techniques in a population study (Born in Bradford)

Background Sensorimotor processes underpin skilled human behaviour and can thus act as an important marker of neurological status. Kinematic assessments offer objective measures of sensorimotor control but can generate countless output variables. This study sought to guide future analyses of such data by determining the key variables that capture children’s sensorimotor control on a standardised assessment battery deployed in cohort studies. Methods The Born in Bradford (BiB) longitudinal cohort study has collected sensorimotor data from 22,266 children aged 4–11 years via a computerised kinematic assessment battery (“CKAT”). CKAT measures three sensorimotor processing tasks (Tracking, Aiming, Steering). The BiB CKAT data were analysed using a “train then test” approach with two independent samples. Independent models were constructed for Tracking, Aiming, and Steering. The data were analysed using Principal Components Analysis followed by Confirmatory Factor Analysis. Results The kinematic data could be reduced to 4-7 principal components per task (decreased from >600 individual data points). These components reflect a wide range of core sensorimotor competencies including measures of both spatial and temporal accuracy. Further analyses using the derived variables showed these components capture the age-related differences reported in the literature (via a range of measures selected previously in a necessarily arbitrary way by study authors). Conclusions We identified the key variables of interest within the rich kinematic measures generated by a standardised tool for assessing sensorimotor control processes (CKAT). This work can guide future use of such data by providing a principled framework for the selection of the appropriate variables for analysis (where otherwise high levels of redundancy cause researchers to make arbitrary decisions). These methods could and should be applied in any form of kinematic assessment.