Collection Process Research Articles

Laser-Constructed Bionic Composite Fog-Collecting Surfaces with Efficient Nucleation Sites and Enhanced Water Transport.

Fog collection effectively alleviates the current freshwater shortage; thus, enhancing its efficiency is crucial. Here, we report a novel bionic fog collection surface (Al@B-V) comprising composite superhydrophobic bumps integrated with superhydrophilic V-channel grooves. This surface, which has efficient fog nucleation points and enhanced water transport capabilities, effectively balances fog capture and water transport during the collection process, thereby achieving high-efficiency fog collection. Compared to ordinary aluminum-based surfaces, Al@B-V achieves a fog collection efficiency of up to 3.08 g·cm-2·h-1, three times higher than the original aluminum-based surface. Furthermore, the V-channel groove proposed in this study exhibits a water transport speed of up to 165 mm·s-1, which is remarkably approximately 80 times faster than the commonly used U-channel groove. Additionally, this V-channel groove can overcome gravity, transporting approximately 10 μL of liquid to the top even when placed at 90° inclination. It can directionally transport 10 μL of liquid over a distance of up to 151 mm on a plane. This novel microgroove design can be effectively applied in various fields, including liquid collection, directional transport, seawater desalination, microfluidics, and drug delivery.

Optimization of Hub-Based Milkrun Supply

Background: Milkrun-based material supply plays an important role in the automotive industry, as it is a material supply concept where high efficiency can be achieved. When implementing milkrun-based material supply, the milkrun supply of the production plant often has to be integrated with an existing warehouse material handling system, which frequently leads to a less efficient solution. Methods: In this paper, the author investigates the impact of a hub-based milkrun supply, where the collection processes in the component’s warehouse and the distribution processes in the assembly plant are connected to a hub, which is responsible for the sequencing of component demands. After a systematic literature review, the paper introduces a novel mathematical model, which makes it possible to describe the conventional milkrun-based solutions, the hub-based milkrun solutions, and to compare them in terms of the length of transportation routes, transportation time, total service time, and virtual emission points of view. Results: The scenario analysis demonstrates that the hub-based solution can lead to an efficiency improvement of about 13% in total service time, 23% savings in transportation time, and 45% savings in transportation time in the component’s warehouse. Conclusions: The article’s findings suggest that implementing a hub-based milkrun system in automotive material supply can significantly enhance efficiency. The described approach could lead to more streamlined operations in production plants by optimizing the integration of milkrun systems.

Anomaly Detection and Correction in Dense Functional Data Within Electronic Medical Records.

In medical research, the accuracy of data from electronic medical records (EMRs) is critical, particularly when analyzing dense functional data, where anomalies can severely compromise research integrity. Anomalies in EMRs often arise from human errors in data measurement and entry, and increase in frequency with the volume of data. Despite the established methods in computer science, anomaly detection in medical applications remains underdeveloped. We address this deficiency by introducing a novel tool for identifying and correcting anomalies specifically in dense functional EMR data. Our approach utilizes studentized residuals from a mean-shift model, and therefore assumes that the data adheres to a smooth functional trajectory. Additionally, our method is tailored to be conservative, focusing on anomalies that signify actual errors in the data collection process while controlling for false discovery rates and type II errors. To support widespread implementation, we provide a comprehensive R package, ensuring that our methods can be applied in diverse settings. Our methodology's efficacy has been validated through rigorous simulation studies and real-world applications, confirming its ability to accurately identify and correct errors, thus enhancing the reliability and quality of medical data analysis.

Data Management in Biobanking: Strategies, Challenges, and Future Directions.

Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data management is a prerequisite to ensure the integrity, quality, and accessibility of these resources. This review provides a current landscape of data management in biobanking, discussing key challenges, existing strategies, and potential future directions. We explore multiple aspects of data management, including data collection, storage, curation, sharing, and ethical considerations. By examining the evolving technologies and methodologies in biobanking, we aim to provide insights into addressing the complexities and maximizing the utility of biobank data for research and clinical applications.

Analisa Pengendalian Persediaan Bahan Baku pada CV. Es Mitra Jaya Surabaya

Manual data collection of raw materials causes inventory problems such as data collection errors, duplicate data, and warehouse loading processes that consume a lot of time. This research was conducted on a milktea boba frenchise company that is very maintaining quality. Raw materials are provided and arranged by the central company, the time of marking goods can only be ordered according to a predetermined schedule. By implementing the Qr-Code Scan system using the Scan-IT to Office application, the warehouse goods data collection process becomes more effective. The results of system implementation were evaluated using the PIECES method with an average satisfaction of 3.58 (SATISFIED) from the six domains tested. The results of the total cost calculation that have been carried out prove that the decrease in inventory costs using Material Requirement Planning (MRP) with the Economic Order Quantity (EOQ) method has decreased. The calculation carried out by the company shows the total inventory cost of Rp.32,346,426.25. After calculations using the MRP method, it decreased by Rp.1,460,780.23.

Pengaruh Pembiasaan Sholat Dhuha Berjamaah terhadap Akhlak Siswa Kelas VII MTS Mathla’ul Anwar Tanah Sareal Bogor

The purpose of this study was to determine whether there is an effect of habituation of dhuha prayer in congregation on the morals of seventh grade students at MTs Mathla'ul Anwar Tanah Sareal Bogor. The population in this study included all VII grade students of MTs Mathla'ul Anwar Tanah Sareal Bogor consisting of 4 classes with a total of 115 students. This study uses quantitative methods where the data collection process is carried out by distributing research questionnaires to 53 seventh grade students at MTs Mathla'ul Anwar Tanah Sareal Bogor. The results showed that: (1) the habituation of dhuha prayer in congregation obtained an average of 62 these results indicate that the habituation of dhuha prayer in congregation is included in the good category. (2) the morals of seventh grade students obtained an average score of 49, it shows that the morals of seventh grade students are included in the good category. (3) the results of the simple linear regression test 0.000 <0.05 show that there is a positive and significant effect of habituation of dhuha prayers in congregation on the morals of seventh grade students at MTs Mathla'ul Anwar, so Ha is accepted and Ho is rejected. Therefore, if you want to shape students' morals for the better, one of the things that must be considered is the habituation of dhuha prayers in congregation.

Lecturers’ perceptions of the influence of AI on a blended learning approach in a South African higher education institution

In this study, the researchers explore lecturers’ perspectives on the impact artificial intelligence (AI) has on blended learning within the context of South African higher education. AI is transforming traditional teaching and learning by enabling academic institutions to offer computerised, effective, and objective educational processes. The research was conducted to address the growing need to understand lecturers’ viewpoints on how AI can enhance educational practices and overcome existing challenges in blended learning environments. To investigate this phenomenon, the researchers applied the Substitution, Augmentation, Modification, and Redefinition (SAMR) model as theoretical framework for the study. Their qualitative research undertaking employed a singular case study design focusing on 15 lecturers from the College of Education at a selected academic institution, to arrive at an in-depth understanding of lecturers’ experiences and perceptions of how AI is integrated in blended learning. The researchers examined both the benefits and challenges associated with a blended teaching and learning mode, in the context of AI integration. The data collection process involved semi-structured focus group interviews that allowed for in-depth discussions to be conducted. This was complemented by detailed document analysis to analyse the course materials and teaching methods used by the lecturers. Homogeneous, purposeful sampling was applied to select participating lecturers who shared specific characteristics relevant to the study. Data analysis involved coding through the induction method, which helped to reveal relevant codes that were subsequently categorised. The study also included a comprehensive literature review of recent research findings, which were correlated with the collected data. The findings underscored the critical need for supportive measures, such as management backing, enhanced training opportunities, professional development initiatives, reliable technological infrastructure, improved internet connectivity, and additional time allocation, for the successful implementation of blended learning which integrates AI. This study contributes valuable insights into, and discussions on, the implications of adopting AI in a hybrid learning environment.

Negative Auditor-Client Interactions—An Exploration of Power Dynamics During Audit Evidence Collection

SUMMARY Studies show that staff auditors, who often interact with high-level client management, maintain positions of lower power in these interactions. This paper summarizes a study by Carlisle, Gimbar, and Jenkins (2023) who investigate negative and unpleasant client interactions and find a deep-rooted power dynamic between staff-level auditors and their clients, whereby clients maintain the upper hand during the evidence collection process. Their study documents auditors’ concern for their clients’ perception of them and the audit team. Finally, they observe that auditors often struggle to fulfill their professional responsibilities while working to ingratiate themselves to the client. These may lead to audit quality threatening behaviors such as client avoidance and “ghost ticking.” Their results suggest that ongoing power disparities between staff auditors and their clients may impair staff auditors’ operational independence.

Protocolo de recolecta y tinción para el estudio taxonómico de los policládidos (Platyhelminthes: Polycladida)

The taxonomic study of polyclads (order Polycladida) dates back to the 19th century. The traditional taxonomy of these organisms requires a combination of the external and internal morphology of the body and the hermaphroditic reproductive system, where the histological techni que is an indispensable tool that plays a key role in this process. This protocol covers the collection processes up to the preparation of the specimens for histological analysis,adapting and improving techniques previously established by other authors for clear and precise visualization of the anatomical structures. Specimens are collected manually using fine paintbrush, photographed dorsally and ventrally, fixed in 10% frozen formalin neutralized with sodium borate and preserved in 70° ethanol. For taxonomic classification, complete mounts of the organisms and sagittal sections of the hermaphroditic reproductive system are used; a five-step histological protocol including hydration, staining, dehydration/differentiation, cleaning/transparency, and slide mounting is performed for each. This standardized technique complements morphological and taxonomic studies of the taxon.

Pengaruh Penggunaan Metode Diskusi dalam Mata Pelajaran PAI Terhadap Minat Belajar Peserta Didik Kelas VIII di SMPIT Al-Ghifari Bojong Gede Bogor

The purpose of this study is to determine whether there is an influence of the use of discussion methods on students' learning interest in PAI subjects in grade VIII SMPIT Al-Ghifari Bojong Gede. The population in this study includes all grade VIII students of SMPIT Al-Ghifari Bojong Gede consisting of 3 classes with a total of 95 students. This study used quantitative methods where the data collection process was carried out by distributing research questionnaires to 95 grade VIII students at SMPIT Al-Ghifari Bojong Gede. The results showed that: (1) the use of discussion method obtained an average of 43.1 results showed that the use of discussion method in PAI subjects was included in the good category. (2) the interest in learning of grade VIII students obtained an average score of 39, this shows that the interest in learning of grade VIII students is included in the category of quite good. (3) the results of a simple linear regression test of 0.000 < 0.05 showed that there was a positive and significant influence of the use of the discussion method on the learning interest of grade VIII students at SMPIT Al-Ghifari Bojong Gede, so that Ha was accepted and Ho was rejected. Therefore, if you want to increase the interest in learning students, one of the things that must be considered is the use of learning methods.

TATA KELOLA ASET DESA DI DESA MANDIRI JAYA KECAMATAN KELAM PERMAI KABUPATEN SINTANG

The problem in the research is the importance of managing village assets in the village government area as capital in village development. The data collection process requires an approach, coordination and supervision so that the data obtained can become valid data for the village government. The research results show that the data collection system implemented requires a work team that has been allocated data collection time as well as various village assets that must be included in the data collection. The village assets that must be recorded are village treasury land and existing village inventory items. Data collection is intended to obtain an overview of various village potentials which can be used as development planning based on community interests. Coordination during data collection is carried out in stages externally and internally to avoid conflicts with the community and also with villages bordering Mandiri Jaya village.

Mental Health Study and Psychological Factors Impacting the Behaviour Among College Students in India

Health risk behaviour, sometimes referred to as health impairing behaviour, is dangerous when it comes to children since it might have unfavourable consequences that last into adulthood. Although not entirely inherited, anxiety disorders can also result from the use of drugs, such as alcohol and caffeine, as well as the withdrawal from particular medications. They frequently occur in conjunction with other mental health issues, including actual depression, bipolar disorder, identity issues, and food issues. The phrase "nervousness" refers to four types of contacts that a person may experience: dissociative unease, physical tension, mental fear, and bodily symptoms. Feelings associated with unease range from mild anxiety to depressive bouts. While there are other psychological and therapeutic conditions that can mimic the signs of a tension disorder, this study outlines the elements that contribute to anxiety and how they impact students' mental health. The results and conclusions of the data collection process using a questionnaire were presented by the researcher. The researcher also talked about some inferences drawn from the participants' comments in addition to this.

Environmental monitoring of the transportation sector in meta-analytic study

Abstract Environmental monitoring is the process of collecting, monitoring and analyzing data related to physical and biological environment in order to understand environmental conditions, identify problems that may occur and take action to protect and improve the environment. Environmental monitoring in transportation sector is directed at understanding its contribution to air pollution, noise pollution, greenhouse gas emissions, habitat destruction, and other impacts on environment. The purpose of this study is to identify derivative concepts in environmental monitoring for encouraging the development of green technology through analysis of scientific publications. Meta-analysis applied through bibliometric analysis to the concept of environmental monitoring in transportation sector is expected to produce novel findings. Analytic hierarchy process is carried out as follow-up analysis in determining choices and priorities on topic findings that have novelty. Data collection was obtained in the form of scientific journals published for 2018-2022 sourced from Google Scholar through a search with the concept of environmental monitoring in transportation sector. The results of study found that several derivative topics in the concept of environmental monitoring in transportation sector have novelties including atmospheric transport, gas sensing, carbon footprint, tritium transport, vertical transport, smart grid and intelligent transportation system. While priority topics that are expected to be followed up in the development of knowledge and technology in the future include carbon footprint, gas sensing and intelligent transportation systems.

Analysis of an induced Langmuir wave by ponderomotive forces and its applicability for plasma diagnostics

We present a numerical study on the electron and ion density perturbation in low-temperature plasmas driven by the frequency detuning of two intense laser beams. Our study is performed in the hydrodynamic regime, which becomes applicable when the plasma grating period induced by the beating of the laser beams is greater than the Debye length and collective processes such as plasma oscillations can be excited. Our findings show a resonance in electron density perturbation as the frequency detuning approaches a value consistent with the Bohm–Gross dispersion relation in low- and high-pressure plasmas. We discuss the potential of this resonance as a diagnostic tool for precisely measuring electron temperature and density in low-temperature plasmas through coherent scattering.

The impact of screen time on children’s well-being development: a scoping review

In the era of digitalisation, working parents today rely more than ever on electronic gadgets as digital babysitters and device-led playtime to entertain their children. The study suggests that parents and their interactions with the home environment may contribute to shaping children’s screen time. However, many struggle to keep up with the immense variety of mobile applications easily downloaded online. Thus, long screen time exposure inhibits children’s ability to engage actively in physical activities as well as affects children’s well-being development. This scoping review aims to identify parental perceptions of children’s exposure to screens for a long period of time and how screen time affects children’s well-being. Five databases, including Scopus, Web of Science (WOS), Bielefeld Academic Search Engine (BASE), Education Resources Information Center (ERIC), and ScienceDirect, were used in this research. In the initial identification stage, 218 articles were identified from the mentioned databases above. However, there were only 81 articles found to be assessed for eligibility. A total of 34 articles are eligible for analysis and reference after the exclusion and inclusion process for data collection. The findings show that the increased exposure to screens raised concerns about potential negative effects on children’s emotions and behaviour.

A Framework for Reviving Traditional Handicrafts: Craft Branding, Product Development, and Marketing Strategies for Dong Ethnic Craft in Sanjiang, China

The traditional Dong handicrafts of Sanjiang, rooted in the cultural heritage of the Dong ethnic group face challenges in retaining their market relevance while preserving their traditional characteristics. Despite their cultural and historical significance, these handicrafts struggle to meet the growing demands of the modern cultural and creative industries, leading to declining sales. This study examines the traditional handicrafts of the Dong community in China. It produces a theoretical framework that can be applied to revitalize them by focusing on three key areas: product development, craft branding and marketing strategies. The paper specifically explores traditional practices such as textile dyeing, wooden architecture construction, and silver craftsmanship, highlighting their cultural and economic importance in contemporary contexts. This research employs a case study method. Data collection process involved gathering and analyzing information from academic journals, government reports, and published magazines. It concludes that the marketability of Dong handicrafts could be enhanced through the development of innovative craft branding strategies that integrate traditional craftsmanship with modern design and technologies while safeguarding their cultural heritage. By employing insights from product development branding and marketing strategies, the paper proposes solutions to revitalize and sustain Dong handicraft traditions in the face of modernization and globalization. The research confirms that traditional Dong handicrafts, despite facing challenges from modernization, globalization, and technological advancements, can be revitalized through the strategic application of product development, branding and marketing frameworks.

Livelihood vulnerability to climate change health impacts among Amhara Sayint district community, northeastern Ethiopia: A composite index approach

Climate change significantly impacts public health, affecting nearly everyone across the globe and contributing to approximately 10% of global mortality. Ethiopia is particularly vulnerable to the changing climate attributed impacts due to economic, and social determinants. While research on climate change is expanding, it often prioritizes its effects on agriculture. The impacts from public health perspective are frequently overlooked. We address this shortcoming by evaluating the vulnerability of the community in the district of Amhara Sayint, Amhara, northeastern Ethiopia, to the health impacts of climate change, and identifying factors involved. Data was collected using a community-based cross-sectional approach, involving 605 randomly selected households between July Twenty and September Five, 2022. The data collection process utilized a validated and pilot-tested questionnaire, which was administered through face-to-face interview with the aid of Kobo Collect toolbox. The community's vulnerability was assessed using the IPCC's framework of vulnerability. Household's Vulnerability status was then classified into three levels according to their Livelihood Vulnerability Index (LVI) score. A partial proportional oddsapproach of ordinal logistic regression model was used to identify factors associated with vulnerability to climate change attributed health impacts. Among the 605 respondents, 48% (95% CI: 44.1, 52.1) were identified as vulnerable, and about 4.6 % (95% CI: 3, 6.6) were classified as highly vulnerable. Wealth status (AOR1 = 1.8; 95 % CI: 1.2, 2.8), educational status (AOR1 = 2.8; 95% CI: 1.1, 7.3), marital status (AOR2 = 4.7, 95% CI: 1.6, 13.4), and home crowdedness (AOR2 = 2.9, 95% CI: 1.1, 8.1) significantly associated with vulnerability. Over half of the residents in the district wereeither being vulnerable or highly vulnerable to climate change attributed health impacts. Therefore, prioritizing prevention and preparedness along with conducting spatial analysis to identify high-risk areas for timely intervention, is essential.

Factors that Affect Audit Delay

The objective of this study was to ascertain whether there is a correlation between profitability, solvency, company size, company age, and audit opinion with audit delay. This study employs existing data on the financial statements of the mining sector, which have been adjusted to align with the sample criteria specified by the Indonesia Stock Exchange for the 2019-2023 research period. The data collection process employed a purposive sampling method, yielding a total of 70 data points from 14 mining companies over a five-year period. The research findings were subjected to a multiple linear regression analysis using the SPSS software. The results indicated that profitability exerts a negative influence on audit delay, whereas solvency and company size exert a positive influence on audit delay. Additionally, company age and audit opinion were found to have no effect on audit delay.

Exploring the factors affecting the readiness for hospital discharge after total knee arthroplasty: A structural equation model approach.

To investigate the factors that influence readiness for hospital discharge in Chinese patients after total knee arthroplasty and to identify priorities for nursing interventions. A cross-sectional study. From January to August 2022, data were collected from 339 patients at two tertiary A-level hospitals in Jinan, Shandong Province. SPSS 26.0 and Mplus 8.3 software were used for statistical analysis. Results from multiple linear regression showed that patients' age, residence status, education level, knee pain during sleep, quality of discharge teaching, self-efficacy for rehabilitation, pain control knowledge, and social support were factors influencing their readiness for hospital discharge. The results of the structural equation model had shown that there were also indirect effects of the education level, knee pain during sleep, quality of discharge teaching, and pain control knowledge. Patients' readiness for hospital discharge needs further improvement, hence physicians and nurses should judiciously allocate medical resources and concentrate their efforts on high-risk groups characterized by low readiness for hospital discharge. This study underscores the importance of physicians and nurses prioritizing key factors such as age, residency status, education level, and social support in total knee arthroplasty patients to enhance their readiness for hospital discharge. By implementing targeted discharge planning, effective pain management, and comprehensive rehabilitation education, healthcare providers can improve patient outcomes. This study identified key factors influencing readiness for hospital discharge in total knee arthroplasty patients, guiding targeted nursing interventions to improve post-operative care. STROBE. The participants recruited for this study were actively engaged in the data collection process.

Personalized low-cost thermal comfort monitoring using IoT technologies

Thermal comfort plays an essential role in the well-being and productivity of occupants. Typically, thermal comfort is assessed either through surveys completed by building occupants or through sensor data that is analyzed using thermal comfort models. Automating comfort surveys and data collection processes reduce the risk of information loss, providing more accurate and personalized thermal comfort assessments over longer periods of time. To this end, this paper presents the design and implementation of a thermal comfort monitoring system consisting of low-cost hardware components and using IoT technologies. The system consists of intelligent wireless sensor nodes that collect and process environmental data, a portable main station that integrates and stores data, and a digital survey that provides feedback from building occupants. To ensure accuracy, the low-cost hardware components of the intelligent sensor nodes are calibrated in a climate chamber, using high-precision sensors for reference. After calibration, the system is deployed in a field test where several intelligent sensor nodes collect environmental data in an office, while occupants complete the digital thermal comfort survey. In addition, thermal comfort indexes are computed by the intelligent sensor nodes and compared with the feedback of each building occupant. The results indicate that the low-cost thermal comfort monitoring system successfully collects and integrates thermal comfort data from the intelligent sensor nodes and the digital survey, being able to create personalized thermal comfort profiles. In future work, the system can be used in large-scale thermal comfort surveys, to develop personalized thermal comfort models and to control personalized comfort systems.