Utilization Of Technology Research Articles

Scaling sustainable pig manure treatment: Life cycle assessments for small to large piggeries in China

Over 50 % of pig stockpiling and slaughtering in China is attributed to medium and large piggeries. The diverse scales and distributions of these piggeries present significant challenges for the sustainable management of pig manure, with a research gap in assessing the environmental benefits of treatment technologies across different farm sizes. Therefore, the environmental and economic performances of ten pig manure treatment technologies for small, medium and large piggeries were evaluated via life cycle assessment and life cycle costing methods. The black membrane biogas pool (BMBP) technology for medium-scale piggeries demonstrates superior environmental performance, reducing emissions by 44.00 kg CO2 equivalent, 0.36 kg SO2 equivalent, and 0.05 kg PM2.5 equivalent per ton of dry pig manure treated. Additionally, the products generated from this process can offset 2.93 GJ of energy consumption and 0.25 tons of water consumption. Meanwhile, the ectopic microbial fermentation bed technology provides the best economic efficiency, at the cost of only $17.88 per ton. Significant disparities in the scale of piggeries and manure production across provinces necessitate region-specific policies. The estimated global warming potential (GWP) from pig manure treatment nationwide was 5.31 million tons of CO2 equivalent, with Henan, Sichuan, and Hunan provinces accounting for a combined 28.3 % of this total in 2020. Scenario analysis indicates that by 2025, achieving a pig manure utilization rate of 90 % could reduce GWP by 9.1 % (0.5 million tons of CO2 equivalent) compared to an 80 % utilization rate, with reductions ranging from 1.78 % to 22.36 % across other environmental indicators. Promoting technologies such as BMBP and transitioning 5 % of aerobic processes to anaerobic processes could reduce emissions by 2.9 %, while also lowering other environmental indicators by 12.8 % to 20.1 %. The utilization of anaerobic technology, coupled with enhanced utilization rates, can prove more efficacious in mitigating carbon emissions and pollutants.

The value of non-enhanced CT 3D visualization in differentiating stage Ⅰ invasive lung adenocarcinoma between LPA and non-LPA

ObjectiveThis study aims to analyze the quantitative parameters and morphological indices of three-dimensional (3D) visualization to differentiate lepidic predominant adenocarcinoma (LPA) from non-LPA subtypes, which include acinar predominant adenocarcinoma (APA), papillary predominant adenocarcinoma (PPA), micropapillary predominant adenocarcinoma (MPA), and solid predominant adenocarcinoma (SPA). MethodsA group of 178 individuals diagnosed with lung adenocarcinoma were chosen and categorized into two groups: the LPA group and the non-LPA group, according to their pathological results. Quantitative parameters and morphological indexes such as 3D volume, solid proportion, and vascular cluster sign were obtained using 3D visualization and reconstruction techniques. ResultsSignificant differences were observed in the vascular cluster sign, spiculation, shape, air bronchogram, bubble-like lucency, margin, pleural indentation, lobulation, maximum tumor diameter, 3D mean CT value, 3D volume, 3D mass, 3D density, and solid proportion between two groups (P<0.05). The optimal cut-off values for diagnosing non-LPA were a 3D mean CT value of -445.45 HU, a 3D density of 0.56mg·mm-3, and a solid proportion reaching 27.95%. Multivariate logistic regression analysis revealed that 3D mean CT value, lobulation, and margin characteristics independently predicted stageⅠinvasive lung adenocarcinoma. The combination of three indicators significantly improved prediction accuracy (AUC=0.881). ConclusionThe utilization of 3D visualization technology in a systematic approach enables the acquisition of 3D quantitative parameters and morphological indicators of thin-slice CT lesions. These efforts significantly contribute to the identification of histopathological subtypes for stageⅠinvasive lung adenocarcinoma. When integrated with pertinent clinical data, this offers essential guidance for developing various surgical techniques and treatment plans.

Emergent biaxiality in chiral hybrid liquid crystals.

Biaxial nematic liquid crystals are fascinating systems sometimes referred to as the Higgs boson of soft matter because of experimental observation challenges. Here we describe unexpected states of matter that feature biaxial orientational order of colloidal supercritical fluids and gases formed by sparse rodlike particles. Colloidal rods with perpendicular surface boundary conditions exhibit a strong biaxial symmetry breaking when doped into conventional chiral nematic fluids. Minimization of free energy prompts these particles to orient perpendicular to the local molecular director and the helical axis, thereby imparting biaxiality on the hybrid molecular-colloidal system. The ensuing phase diagram features colloidal gas and liquid and supercritical colloidal fluid states with long-range biaxial orientational symmetry, as supported by analytical and numerical modeling at all hierarchical levels of ordering. Unlike for nonchiral hybrid systems, dispersions in chiral nematic hosts display biaxial orientational order at vanishing colloid volume fractions, promising both technological and fundamental research utility.

IMPLEMENTASI SISTEM PEMBELAJARAN EFEKTIF SEBAGAI STRATEGI PENGUATAN PROFESIONALISME GURU DALAM ERA DIGITAL

This research aims to analyze teacher professionalism strengthening through the implementation of effective learning systems. Using a mixed-method approach, the study was conducted on 100 teachers selected through purposive sampling. Data collection included questionnaires, in-depth interviews with 20 teachers, learning observations, and focus group discussions. The results showed significant improvements in teacher competencies: pedagogical (25%), professional (28%), learning technology utilization (35%), and evaluation skills (30%). The implementation of effective learning systems positively impacted student learning motivation (75%) and learning outcomes (68%). Key supporting factors included policy support and availability of continuous professional development programs, while inhibiting factors included administrative burden and limited technology access. The teacher professionalism strengthening program proved effective in improving learning quality, although it still requires strengthening of the mentoring system and development of digital learning platforms..

Relationships between Faculty Concerns Teaching Methods in Online Education and Technology Use in Teaching

This study underscores the critical need to address faculty concerns and provide adequate support to enhance the effectiveness of online teaching. Conducted with 300 teachers from Jiangsu Vocational College and Information in China, the research explored correlations between faculty concerns, teaching methods, and technology use. The following are the findings: Faculty concerns and Technology Use: The study identified a significant correlation between faculty teaching methods, their use of technology, and their stages of concern about online teaching. Understanding the concerns helps identify barriers to effective online teaching. This relationship underscores the importance of supporting faculty in their use of technology and teaching strategies to improve online education Student Behavior Issues: Faculty expressed concerns about student engagement, participation, and adherence to rules in online learning environment highlighting the need for strategies to address these issues. Technology Utilization. The most frequently used technology used by teachers, was the web for sharing digital files, suggesting that teachers are creating a conducive online environment for their students. Teachers who ensure a positive online learning environment through effective use of technology and adaptable teaching methods significantly enhance the quality of online education . Addressing faculty concerns and fostering supportive teaching practices are essential to maximize the potential online learning platform

Implementation Of IoT-Based Optical Sensors For Real-Time Monitoring In Palm Oil Processing

Optical sensors are widely used in various industrial sectors, including petrochemical and medical industries, with applications ranging from oxygen level measurement, concentration of substances in a liquid, object detection, and more. Optical sensors can be used to detect the water content in oil, such as palm oil or other oils. In an industrial process, especially in the palm oil industry, the water content in oil must meet a maximum standard of 4.5%. Optical sensors can measure water content using various methods, such as Total Internal Reflection (TIR) or Mid-Infrared (MIR), and can be monitored in real-time using IoT-based applications. The utilization of sensitive optical technology takes advantage of changes in the refractive index caused by variations in water content in palm oil. The method employed involves the development of an optical sensor based on the Mid-Infrared principle, which measures the amount of light absorbed by water and the light reaching the sensor for comparison. The results of water content measurements in palm oil that have been conducted can only be implemented for water content measurements of 0-5% in palm oil, with a sensor response that is less than linear above 5% water content. By correcting the non-linearity error of the sensor, the data is reduced to produce measurement results that are closer to the actual water content in palm oil, which will be displayed on local monitoring and real-time or continuous monitoring through IoT using smartphones and PCs wirelessly via IoT-based applications

Tourism Management Training in the Digital Era to Increase Tourist Visits to Lake Rayo

The management of the Rayo Lake tourist attraction managed by POKDARWIS has so far been considered less than good due to the lack of knowledge of POKDARWIS administrators in tourism management. In addition, it is caused by the absence of an effective marketing strategy with the utilization of existing information technology, resulting in the Rayo Lake tourist attraction being less well-known by the public. The purpose of implementing this PKM activity is to increase POKDARWIS's knowledge in terms of management and marketing. Community service activities are based on the Participative Action Research (PAR) approach with the methods of socialization, training, application of Technology, Mentoring, Evaluation and Sustainability of the Program. The results obtained are that the participants feel satisfied and gain a good understanding of how to manage digital-based tourism management and the utilization of digital technology in promoting tourism at the Rayo Lake tourist destination in Sungai Jernih Village.

Exploring the Influence Factors of Digital Entrepreneurship in Improving the Digitization of Small and Medium Enterprises in Yemen

This research provides valuable insights into the impact of digital entrepreneurship on the digitalization of small and medium-sized enterprises (SMEs) in Yemen. By integrating the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, the research examines the role of various factors-technological, organizational, environmental, and individual, affecting technology adoption and utilization in SMEs. The study primarily explores the direct and indirect influences of these factors on actual system use, with a particular focus on the mediating roles of perceived usefulness and perceived ease of use in shaping attitudes toward technology adoption. Data were collected through a survey of 392 respondents, and the results were analyzed using partial least squares structural equation modelling (PLS-SEM). The measurement model was validated for reliability and accuracy, followed by an evaluation of the structural model to test the proposed hypotheses. The findings highlight the critical role of information and communication technology (ICT) adoption in enhancing both perceived ease of use and perceived usefulness. Additionally, the knowledge of IT entrepreneurs and government support were found to uniquely influence perceived ease of use and perceived usefulness, respectively. Both of these perceptions, in turn, positively impacted attitudes toward and the actual use of digital tools within SMEs. To address the challenges faced by Yemeni SMEs, it is recommended to enhance digitalization through ICT adoption and promote a pro-technology culture. Policymakers should create a supportive environment via targeted policies, subsidies, and public-private partnerships to foster sustainable growth and competitiveness.

The Potential of Non-Fungible Tokens (NFTs) In Enhancing Malaysia's Arts and Cultural Heritage Preservation

This study investigates the transformative potential of Non-Fungible Tokens (NFTs) in revolutionizing the marketing of artworks by Malaysian visual artists, with a particular focus on promoting cultural heritage. NFTs, as digital assets secured by blockchain technology, offer artists innovative methods to monetize their creations while preserving authenticity and provenance. Despite their growing popularity, Malaysian artists face challenges such as limited knowledge and skepticism regarding the effective use of NFT technology. This research aims to identify strategies and best practices for incorporating NFTs into digital art marketing, particularly in the context of cultural heritage preservation. Through a combination of content analysis and semi-structured interviews with five experts, this study applies the soft laddering technique to explore the perceived benefits and challenges of NFTs. The findings highlight the significant potential of NFTs to enhance Malaysian artists' access to global markets and strengthen the preservation of cultural heritage. The study underscores the need for improved technological literacy and NFT utilization among Malaysian artists to maximize their presence and competitiveness in the evolving digital art marketplace.

FACTORS INFLUENCING CLOUD COMPUTING ADOPTION : TECHNOLOGY, ORGANIZATIONAL AND ENVIRONMENT (TOE) FRAMEWORK APPROACH

The latest technology that must be applied to prepare for modernity is based on information technology. This technology is not only used by large companies (enterprises) but can also be utilized by Micro, Small and Medium Enterprises (MSMEs). One of the utilization of technology is cloud computing by Micro and Medium Enterprises (MSMEs) which is increasingly widespread. This is reasonable because cloud computing technology provides benefits with a simpler process and relatively low costs. In line with this, this study aims to determine the factors that influence the adoption of cloud computing in MSMEs. An integrated model was developed based on the Technology, Organization, and Environment (TOE) framework. This research data was obtained through a structured survey questionnaire given to 150 MSME owners/managers in the Soloraya Region. The results obtained through SEM-PLS analysis show that factors such as organizational readiness and competitor pressure have a significant effect on cloud computing adoption in MSMEs in the Soloraya Region. However, factors of relative advantage, complexity, and top management support were found to have no significant effect on cloud computing adoption. This research provides a theoretical contribution to the expansion of the TOE Framework.

The desire path: unleashing expectations, discussing apprehensions, and proposing a way forward for GAI use in higher education

Purpose The purpose of this study is to demonstrate the desire path of using GAI in higher education, including expectations, apprehensions, and the way forward. Design/methodology/approach This qualitative study employs thematic analysis, scrutinizing 11 interviews with innovative higher education faculty. The methodology section details the utilization of GAI (Chat GPT) for conducting thematic analysis on interviews, showcasing academics' practical application of this technology for research purposes. Findings Stakeholders expect continuous improvement in technology, overdependence, advocate for gradual adjustment, and emphasize context-dependent technology utilization. Concerns encompass issues such as data reliability, ethical considerations, risks of undermining fundamental aspects, limitations in fully replacing human involvement, and worries about personal responsibility. Practical implications Recommendations include flexible regulations, data-driven decision-making, professional development, diverse stakeholder engagement, and promoting distributed responsibility. Originality/value This study offers valuable insights into the use of GAI in higher education, formulating policies that encourage innovation without hampering effectiveness.

Technology utilization, self-legitimacy, and external procedural injustice: a study of Chinese police officers

PurposeThe main purpose of this study is to examine the direct relationship between police officers' perceived technology utilization and their perception of external procedural injustice, as well as the indirect relationship through perceived self-legitimacy.Design/methodology/approachThis study used survey data collected from 1,944 police officers in a northern Chinese province. Structural equation modeling (SEM) was performed to assess the direct and indirect associations between technology utilization and external procedural injustice.FindingsTechnology efficacy was negatively associated with external procedural injustice and positively associated with both self-legitimacy and public-defined legitimacy. Furthermore, officers’ self-perceived legitimacy is negatively associated with their support for procedurally unjust behaviors, while officers’ perception of public-defined legitimacy, unexpectedly, is positively related to their endorsement of procedural injustice. Conversely, technology difficulty was positively related to external procedural injustice and negatively associated with public-defined legitimacy.Originality/valueThe present study represents a first attempt to link technology utilization to external procedural injustice in the policing literature. This study provides needed evidence to support the importance role of technology utilization in shaping police officers’ occupational attitudes toward themselves and the public in an authoritarian country.

Application of 3D printing in the treatment of diabetic foot ulcers: current status and new insights

Background and AimsDiabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus (DM), affecting around 25% of individuals with DM. Primary treatment of a DFU involves wound off-loading, surgical debridement, dressings to provide a moist wound environment, vascular assessment, and appropriate antibiotics through a multidisciplinary approach. Three-dimensional (3D) printing technology is considered an innovative tool for the management of DFUs. The utilization of 3D printing technology in the treatment of DFU involves the modernization of traditional methods and the exploration of new techniques. This review discusses recent advancements in 3D printing technology for the application of DFU care, and the development of personalized interventions for the treatment of DFUs.MethodsWe searched the electronic database for the years 2019–2024. Studies related to the use of 3D printing technology in Diabetic foot were included.ResultsA total of 25 identified articles based on database search and citation network analysis. After removing duplicates, 18 articles remained, and three articles that did not meet the inclusion criteria were removed after reading the title/abstract. A total of 97 relevant articles were included during the reading of references. In total, 112 articles were included.Conclusion3D printing technology offers unparalleled advantages, particularly in the realm of personalized treatment. The amalgamation of traditional treatment methods with 3D printing has yielded favorable outcomes in decelerating the progression of DFUs and facilitating wound healing. However, there is a limited body of research regarding the utilization of 3D printing technology in the domain of DFUs.

The Role of Technology in Promoting Collaborative Learning: Case Studies from Multicultural Classrooms

The objective of this research is to examine the potential of technology in facilitating collaborative learning in a multicultural classroom setting at SMP 11 Jakarta. Given the culturally diverse student backgrounds, this research is concerned with the ways in which technology can facilitate enhanced interaction and collaboration among students from different cultural backgrounds. This research employs a qualitative approach utilising a case study methodology to gain comprehensive insights into the experiences and perceptions of students and teachers regarding the utilisation of technology in collaborative learning. The data were gathered via in-depth interviews, classroom observations, and the examination of pertinent documents. The findings demonstrate that technology not only facilitates communication between students but also fosters a more inclusive and collaborative learning environment. However, there are certain challenges associated with the implementation of technology, particularly with regard to students' digital literacy and the disparity in technology infrastructure across different settings.

Improving the End‐to‐End Protection in E‐Voting Using BVM—Blockchain‐Based E‐Voting Mechanism

ABSTRACTVoting has always been a crucial topic of public attention for democratic reasons. The ease of use and low cost are the result of e‐voting being frequently used for such important decision outcomes. However, the tremendous authority and intervening data in current e‐voting systems make it risky and difficult to achieve correct equity and clarity in e‐voting. So, by combining e‐voting with blockchain technology, these issues can be resolved while providing reorganization and intervention‐resistant characteristics. A voter's improper manipulation, frequent voting, or non‐party voting, may also undermine fairness. A verifier is therefore required to check the e‐voting mechanism in order to ensure its effectiveness and control the process equality and fairness. In this paper, a Blockchain‐based e‐Voting Mechanism (BVM) is developed for providing the end to end security and fairness for transparent voting. This mechanism also provides a zero‐knowledge proof (ZP) based verifier to inspect the voting procedure against voter's mis‐operations and uses a novel Improved Master‐key Administration (IMA) based public key cryptography to attack prevention. The utilization of blockchain technology ensures transparency, anonymity, confidentiality, authentication, tamper resistance, and a high level of data integrity, making it a promising choice for modernizing and enhancing the electoral process. Also, the performance of BVM has been compared with similar voting mechanisms and analyzed based on time complexity, security analysis, performance factors like delay and throughput, and anti‐attack examination.

OGC O04 - The role of capsule-sponge technology in Barrett's surveillance: A two-year experience

Abstract Background Barrett's surveillance requires regular endoscopic and histological assessment of the oesophagus to reduce the risk of progression to oesophageal cancer. Capsule-sponge technology has been used in the assessment of reflux for some years, and is increasingly used as an adjunct or replacement for endoscopic surveillance of Barrett's. Current NICE guidance does not advocate complete replacement of surveillance with capsule-sponge assessment but notes the potential benefits of the technology and highlights the requirement for more evidence and research. This study aimed to describe two-year experience with capsule-sponge technology in the surveillance of Barrett's Oesophagus. Method All patients who were due for Barrett's surveillance from September 2022 to June 2024 were screened to see if they were appropriate for capsule-sponge assessment. Appropriate patients were approached and offered capsule-sponge assessment. Patients who were not appropriate, or declined, were offered standard endoscopic surveillance. Capsule sponge assessment was performed using the CytospongeTM and sponges sent to Cyted for cytological analysis. All patients were entered onto a prospectively maintained database and monitored for progression of symptoms or development of gastro-oesophageal cancer. Cost implications, clinical outcomes and impact on endoscopy resource utilisation were measured. Results 379 patients had Cytosponge assessment for Barrett's oesophagus. 34 (9%) required endoscopy for either an abnormal cytology or an inadequate sample. Cytosponge assessment picked up many pathologies including high-grade dysplasia, oesophageal carcinoma and ulceration or atypia. All patients who had a Cytosponge have been booked for endoscopy for their next Barrett's assessment (in keeping with current guidelines); none have presented with inter-test malignancy. Over the same time period, three patients have presented with oesophageal cancer who have only had endoscopic assessment. Utilisation of capsule-sponge technology has saved almost 350 endoscopies (700 points) over 21 months, or over 70 endoscopy lists. Conclusion Utilisation of capsule-sponge assessment for Barrett's oesophagus is safe and effective and can have a rapid and sustainable effect on reducing demand on endoscopy lists. The procedure is better tolerated than endoscopy, reproducible and may be a more accurate method of Barrett's surveillance than endoscopy alone.

Cracking the code of teacher burnout: the chain mediation of GPT integration degree through behavioral engagement and classroom atmosphere in a cross-level chain mediation model

Chat GPT technology plays a pivotal role in global educational innovation and the enhancement of the quality of teaching and learning. In the field of education research, numerous studies have been conducted to investigate the effectiveness of GPT technology, teacher acceptance, and student engagement in depth. To date, few studies have considered the compounding effects of these factors on teacher burnout from the perspectives of psychology and behavioral sciences in conjunction with the dichotomous and complex relationship between teachers and students. Consequently, based on the findings of previous scholars, this study constructed a cross-layer chain mediation model based on the SOR and EASI models. This model was used to explore how different motivators affect the alleviation of teacher burnout through psychological and behavioral mechanisms. The study involved 47 teachers and 506 students from 10 universities. The findings of the study indicated that (1) the direct effect of GPT integration degree on teacher burnout was not statistically significant, and (2) the classroom atmosphere played a pivotal mediating role in the relationship between GPT integration degree and teacher burnout. (3) The degree of GPT integration degree exerts an indirect and orderly negative influence on teacher burnout through behavioral engagement and classroom atmosphere. The objective of this study is to further enhance our comprehension of the utilization of GPT technology in education and to provide strategic recommendations for its advancement in educational practice.

Evaluating manufacturing plants readiness for distributed ledger technology: a network framework for ambiguity levels

The utilisation of blockchain technology has gained significant traction within contemporary supply chains owing to its ability to enhance transparency, security, and traceability. Manufacturing plants, as pivotal components of the supply chain, stand to benefit from improved tracking and transparency of goods movement, real-time visibility, quality control processes, and adherence to industry standards through blockchain implementation. Nonetheless, without a comprehensive assessment of manufacturing plants’ readiness to embrace blockchain technology, the anticipated benefits may give way to unforeseen challenges. In this study, a novel network framework is offered to evaluate manufacturing plants’ readiness for adopting distributed ledger technology, specifically blockchain, under varying levels of ambiguity, including high (fuzzy) and low (scenario) ambiguity. This framework is distinguished by its ability to address uncertainty in evaluations, incorporating both scenario-based and fuzzy programming approaches. Furthermore, the framework treats evaluation criteria as interconnected entities, fostering a network perspective rather than a black-box approach. The proposed framework is then validated through a case study involving five manufacturing plants and twenty-four evaluation criteria. Our findings underscore the pivotal role of uncertainty considerations in ranking manufacturing plants, with the fifth plant emerging as the frontrunner across both fuzzy and scenario-based assessments in most instances.

In-House Training Modules on Learning Media to Improve Information and Communication Technology Competence in Elementary School Teachers

In-house training (IHT) programs effectively address educational challenges in schools through a thorough needs analysis. While IHT programs are frequently conducted, the primary focus should be on enhancing the quality of training to meet the specific needs of institutions, roles, and individuals involved. At SDN 98, a notable issue is the low utilization of technology in the learning process despite adequate multimedia facilities. Among 17 classroom teachers, fewer than 25% are proficient in using computers for instruction, and only one or two teachers regularly use laptops. The use of LCD projectors is also rare. This situation highlights the urgent need to improve teachers' information and communication technology (ICT) skills. Consequently, this Study aims to enhance the ICT competencies of SDN 98 teachers through targeted training and the development of IHT modules. The research employs a research and development (R&amp;D) method that includes eight stages: initial research, planning, product design, validation, revision, limited trials, and field trials. The developed IHT module received excellent evaluations, with an average score of 4.49 from respondents and 4.56 from instructors, indicating its practicality and effectiveness in enhancing teachers' ICT competencies.

Bridging technostress and continuous learning in knowledge-intensive organizations: A socio-technical systems approach for the future of healthy working life

We present an interdisciplinary exploration of technostress in knowledge-intensive organizations, including both business and healthcare settings, and its impact on a healthy working life. Technostress, a contemporary form of stress induced by information and communication technology, is associated with reduced job satisfaction, diminished organizational commitment, and adverse patient care outcomes. This article aims to construct an innovative framework, called The Integrated Technostress Resilience Framework, designed to mitigate technostress and promote continuous learning within dynamic organizational contexts. In this perspective article we incorporate a socio-technical systems approach to emphasize the complex interplay between technological and social factors in organizational settings. The proposed framework is expected to provide valuable insights into the role of transparency in digital technology utilization, with the aim of mitigating technostress. Furthermore, it seeks to extend information systems theory, particularly the Technology Acceptance Model, by offering a more nuanced understanding of technology adoption and use. Our conclusion includes considerations for the design and implementation of information systems aimed at fostering resilience and adaptability in organizations undergoing rapid technological change.