Labeling System Research Articles

Electricity Sales Package Decision Making Using Two-Stage Density Clustering and Minimum Adjustment Distance Consensus

In the decision making of electricity sales packages, it is usually the specific situation of similar customers that provides the basis of a decision-making plan for target customer package selection, so it is particularly important to integrate the opinions of similar customers. Therefore, a multi-attribute group decision-making method for an electricity sales package is proposed, which is based on two-stage density clustering (TSDC) and minimum adjustment distance consensus. Firstly, in order to provide support for identifying similar customers among target customers, a sample customer set clustering method is proposed, which is based on a customer portrait label system and TSDC. Secondly, based on the entropy method, the attribute weight of the electricity sales package is determined. Based on the weight and the multi-attribute group decision-making consensus process, the minimum adjustment distance consensus of the sample customers’ fuzzy evaluation matrix for the electricity sales package is proposed. Then, a full-ranking decision method for an electricity sales package based on target customer satisfaction is proposed. Finally, customers in a certain area of China are selected as an example. This example is used to verify the accuracy and effectiveness of the decision-making method of electricity sales package proposed in this paper.

Traffic light nutrition labelling policy: A path to promoting healthier eating habits in Pakistan.

Dear Editor, While the global burden of diet-related diseases continues to escalate1, it is disheartening to see that Pakistan, like many other Lower-Middle Income Countries (LMICs)2, has not yet ultimately adopted the system that can significantly assist consumers in making healthier food decisions. In Pakistan, the prevalence of obesity, diabetes, and other non-communicable disease conditions is on the rise, posing a substantial economic and health burden on individuals and the healthcare system2. Many countries like the United States, Australia, and the United Kingdom use the traffic light nutrition labeling system, which is a valuable tool for empowering consumers to make informed food choices quickly 3. It provides a simple way for people to quickly assess the nutritional value of a product using a color-coding system3. Green labels indicate healthier options, amber labels suggest moderate consumption and red labels highlight food that should be consumed sparingly4. The simple color-coding system empowers consumers to make healthier decisions and can contribute to a reduction in diet-related diseases4. The traffic light system works particularly well in settings with high illiteracy rates, as is prevalent in Pakistan since it relies on simple color coding rather than textual information5. As consumers, we lack a clear and uniform method for evaluating the nutritional components of the food we buy. This deficiency not only obstructs the capacity to make healthy food choices but also sustains the prevalence of diet-related issues. Color-coded labeling would help people with low literacy levels to understand the nutrition information available on food products easily. However, Traffic Light nutrition labelling has not been adopted in Pakistan. To confront this challenge, policymakers, health organizations, and government authorities should take swift and decisive action. The government must take the lead in implementing clear regulations that mandate the use of traffic light nutrition labels on packaged food items. These regulations should accompany strict enforcement measures. Launching public awareness campaigns about the benefits of the traffic light system can help familiarize consumers with this approach and generate demand for healthier food products. Collaboration and engagement with food manufacturers and retailers to ensure a smooth transition to the traffic light system is imperative to encourage the production of healthier food consumption. Implement a system of periodic reviews and updates of the labeling system to ensure its collective effectiveness and relevance to the evolving nutritional landscape. ---Continue

Network spillover effects associated with the ChooseWell 365 workplace randomized controlled trial to promote healthy food choices

Food choices are closely linked to culture, social relationships, and health. Because many adults spend up to half their time at work, the workplace provides a venue for changing population health-related behaviors and norms. It is unknown whether the effects of a workplace intervention to improve health behaviors might spread beyond participating employees due to social influence. ChooseWell 365 was a randomized controlled trial testing a 12-month healthy eating intervention grounded in principles of behavioral economics. This intervention leveraged an existing cafeteria traffic-light labeling system (green = healthy; red = unhealthy) in a large hospital workplace and demonstrated significant improvements in healthy food choices by employees in the intervention vs. control group. The current study used data from over 29 million dyadic purchasing events during the trial to test whether social ties to a trial participant co-worker (n = 299 intervention, n = 302 control) influenced the workplace food choices of non-participants (n = 7900). There was robust evidence that non-participants who were socially tied to more intervention group participants made healthier workplace food purchases overall, and purchased a greater proportion of healthy (i.e., green) food and beverages, and fewer unhealthy (i.e., red) beverages and modest evidence that the benefit of being tied to intervention participants was greater than being tied to control participants. Although individual-level effect sizes were small, a range of consistent findings indicated that this light-touch intervention yielded spillover effects of healthy eating behaviors on non-participants. Results suggest that workplace healthy eating interventions could have population benefits extending beyond participants.

Egg protein exposure estimation in risk assessment for Japanese food allergy labeling

To assess the risk of food allergies in foods processed under the Japanese food labeling system, estimating exposure to hidden allergens is necessary. We assessed exposure to egg protein in foods processed according to the Japanese food labeling system. First, we estimated the concentration distribution of egg protein by Bayesian methods using data from the literature and the measurement of food products with precautional declarations in the labeling margin. We then estimated the food-intake portion-size distribution under two scenarios: soft drink consumption as an example of single, high-intake consumption, and confections, which are frequently consumed by children, as a realistic example of low-intake consumption. Finally, we estimated the distribution of unexpected intake of egg proteins in the form of single consumption. The mean exposure to egg protein under the high-intake scenario was estimated to be 0.0164 mg for 1–15-year-olds, 0.0171 mg for 4–15-year-olds, 0.0181 mg for 7–15-year-olds, and ≥0.0188 mg for 16-year-olds. The mean exposure to egg protein under the low-intake scenario was estimated to be 0.0018 mg for 1–15-year-olds, 0.0019 mg for 4–15-year-olds, 0.0020 mg for 7–15-year-olds, and ≥0.0022 mg for 16-year-olds. Compared to the reference dose of 2.0 mg proposed by the Joint the Food and Agriculture Organization (FAO)/World Health Organization (WHO) Expert Committee, the risk of onset of food allergies due to egg protein contamination from foods without egg labeling is considered to be extremely low under the current Japanese food labeling system.

Impact of Nutrition Labeling on Food Choices and Diet Quality in France

Purpose: The aim of the study was to analyze the impact of nutrition labeling on food choices and diet quality in France. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: In France, the Nutri-Score labeling system has been found to significantly influence food choices towards healthier options by providing clear nutritional information on packaged foods. Studies indicate that consumers are more likely to select products with higher Nutri-Score ratings, indicative of healthier nutritional profiles, leading to improved overall diet quality and potentially reducing the risk of diet-related health issues. Unique Contribution to Theory, Practice and Policy: Health belief model (HBM), theory of planned behavior (TPB) & social cognitive theory (SCT) may be used to anchor future studies on impact of nutrition labeling on food choices and diet quality in France. Emphasize interpretive labels that simplify complex nutritional information and facilitate quick comprehension across diverse demographic and cultural groups. Advocate for harmonized nutrition labeling regulations at national and international levels to ensure consistency and comparability across products and regions.

The K-pop industry: competitiveness and sustainability

ABSTRACT This study examines the competitiveness of the K-pop industry using the Diamond Model. By implementing creative strategies for talent development and marketing, such as in-house training, global auditions, and the promotion of groups as their own brand, the industry has expanded their fan base on a global scale. The industry’s competitiveness has been further enhanced by the strategic interactions between the major players, which may involve both competitive and cooperative efforts. The utilisation of platform technology has facilitated direct interaction between artists and their fans, resulting in the development of a vibrant fandom culture. Additionally, the demand for K-pop has benefited from the positive externalities generated by other K-Wave (Hallyu) contents. To ensure the industry’s sustainability, this study proposes improvements of corporate governance, the modernisation of the label system to meet timely and diverse demand, and strategic partnership with platform/IT conglomerates to leverage the platform technology effectively.

B Cells of Early-life Origin Defined by RAG2-based Lymphoid Cell Tracking under Native Hematopoietic Conditions.

During the perinatal period, the immune system sets the threshold to select either response or tolerance to environmental Ags, which leads to the potential to provide a lifetime of protection and health. B-1a B cells have been demonstrated to develop during this perinatal time window, showing a unique and restricted BCR repertoire, and these cells play a major role in natural Ab secretion and immune regulation. In the current study, we developed a highly efficient temporally controllable RAG2-based lymphoid lineage cell labeling and tracking system and applied this system to understand the biological properties and contribution of B-1a cells generated at distinct developmental periods to the adult B-1a compartments. This approach revealed that B-1a cells with a history of RAG2 expression during the embryonic and neonatal periods dominate the adult B-1a compartment, including those in the bone marrow (BM), peritoneal cavity, and spleen. Moreover, the BCR repertoire of B-1a cells with a history of RAG2 expression during the embryonic period was restricted, becoming gradually more diverse during the neonatal period, and then heterogeneous at the adult stage. Furthermore, more than half of plasmablasts/plasma cells in the adult BM had embryonic and neonatal RAG2 expression histories. Moreover, BCR analysis revealed a high relatedness between BM plasmablasts/plasma cells and B-1a cells derived from embryonic and neonatal periods, suggesting that these cell types have a common origin. Taken together, these findings define, under native hematopoietic conditions, the importance in adulthood of B-1a cells generated during the perinatal period.

Enhancing the Probability of Victor for Top Players via Knockout Tournament Fixture

A tournament fixture is an integral part of the tournament rules. It determines the random pairing of contestants, with several matches played per round. The selection of fixture type that optimizes the top player's winning probability significantly affects the financial aspects for organizers, individuals, and participants while also addressing the interests of millions of fans. In addressing this challenge, this study designed a balanced tournament fixture and employed a labeling system to represent each fixture, utilizing a recursive function. By assigning a strength rating to each player, their rankings were established, leading to varied probabilities of winning. It was decided to represent these abilities with randomly selected integers ranging from 1 to 21, with 1 denoting minimum strength and 21 denoting maximum strength. We explore hierarchical knockout tournament fixtures in competitions to develop optimal tournaments that enhance their attractiveness. In this study, we also performed calculations to determine the probability of each player winning in each round, thereby deducing which tournament fixture minimizes or maximizes the likelihood of the strongest player winning. In cases where the number of players is a power of 2, the first half comprises p/2 matches, where p is the total number of players. However, if the number of players is not a power of 2, k matches are played in the first round, with 𝑝 = 2r + 𝑘, where 0 ≤ k < 2r, followed by implementing a balanced tournament fixture. The findings underscore the effectiveness of employing a balanced tournament fixture to maximize the probability of winning in a single-elimination tournament. Keywords: Single Elimination, Binary Tree, Dummy Players, Election Procedures, Hierarchically.

Towards a Fairer and More Equitable Bushfoods Industry: access and benefit-sharing and certification frameworks

ABSTRACT Australia’s bushfoods, botanicals and traditional medicines sector are a growing industry based on thousands of years of Indigenous Knowledge (IK). National and international growth in this industry does not provide satisfactory or equitable sharing of benefits, preventing opportunities and funding for Aboriginal and Torres Strait Islander peoples. Without prior informed consent (PIC) and access and benefit sharing (ABS) arrangements, alongside specific point of difference certification and labelling schemes, current industry inequities will continue. International protocols such as the Nagoya Protocol require ABS arrangements, and we argue whether a certification trademark (CTM) scheme could also support ABS in Australia. ABS lays the groundwork to ethically share IK to mitigate harms and provide benefits to Aboriginal and Torres Strait Islander peoples. Establishing coherent CTM and labelling schemes will complement and could work towards addressing the gaps and limitations in Australian ABS laws. CTM and labelling systems, as well as strategies and statements used by established alliances and organisations, provide insight into what mechanisms current ABS laws allow for. We use these examples to recommend the next steps.

Analysis of packaging design its colour coding and labelling of contained sugar in dairy and cereal products

The purpose of developing the colour coding system is to create better awareness and help consumers monitor and understand the sugar content of foods. Our research focused on food products (dairy products and cereal products on the Slovenian market) that contain so-called hidden sugars, as these can cause many health risks. The aim of the study was to raise awareness of the sugar content in dairy products and cereals through a packaging design with a uniform labelling and coding system. During the process of this research, few answers were provided to the following questions: How can a labelling system be designed to be clear and impartial, what is the hierarchy and layout of food information on packaging, and how can the system be coherently integrated with existing packaging? The impact of the information design on the consumer in the food packaging industry, which helps in further execution, was analysed. Based on the research, variants of a multi-colour labelling system were created, differing in primary information graphics, colour, placement and formats. The packaging for an imaginary brand and the placement of the code system were designed. Finally, the packaging design was implemented in the 3D models for each food group. The result of this research is a collection of packaging models with a labelling system that informs consumers about sugar content, facilitates decision-making and helps them control their food intake. The colour-coded labels were applied to the packaging in a uniform and coherent manner, which can provide sufficient attention and information.

Validation of novel conditional ligands and large-scale detection of antigen-specific T cells for H-2Dd and H-2Kd

The UV-mediated peptide exchange has enabled the generation of multiple different MHC multimer specificities in parallel, surpassing tedious individual refolding of MHC molecules with peptide ligands. Murine models are acknowledged as an effective tool for preclinical research to advance our understanding of immunological mechanisms, with the potential translatability of key learnings from mouse models to the clinic. The common inbred mouse strain BALB/c is frequently used in immunological research. However, for the BALB/c histocompatibility (H)-2 alleles availability of conditional ligand has been limited. To overcome this challenge, we design and experimentally validate conditional ligands restricted to murine MHC class I alleles H2Dd and H2Kd. In addition, we demonstrate the ability of the three H2d molecules and two additional C57BL/6 H2b molecules folded in-house with conditional ligands to generate fluorescently labeled peptide-H2 tetramers that allow staining of antigen-specific CD8+ T cells in splenocyte samples. Finally, we generate large peptide-H-2 multimer libraries with a DNA-barcode labeling system for high-throughput interrogation of CD8+ T cell specificity in murine splenocyte samples. Consequently, the described techniques will contribute to our understanding of the antigen-specific CD8+ T cell repertoire in murine preclinical models of various diseases.

Effect of LRRC15 on autophagy in A549 cells.

Idiopathic pulmonary fibrosis (IPF) is a progressive, chronic, and irreversible interstitial lung disease with unknown cause. To explore the role and regulatory mechanism of leucine-rich repeat-containing protein 15 (LRRC15) in IPF, bleomycin (BLM)-induced pulmonary fibrosis in mouse and A549 cells were constructed, and the expression of LRRC15 were detected. Then, MTT, GFP-RFP-LC3 dual fluorescent labeling system and Western blotting were used to investigate the effects of LRRC15 on cell activity and autophagy after transfection of siLRRC15, respectively. The results indicated that the expression of LRRC15 was significantly increased after the BLM treatment in mouse lung tissue and A549 cells. The designed and synthesized siLRRC15 followed by transfection into A549 cells resulted in a dramatic reduction in LRRC15 expression and partially restored the cell damage induced by BLM. Moreover, the expression of LC3-II and P62 were up-regulated, the amount of autophagosome were increased by GFP-RFP-LC3 dual fluorescent labeling assay after BLM treatment. Meanwhile, this study also showed that the key autophagy proteins LC3-II, ATG5 and ATG7 were up-regulated, P62 was down-regulated and autophagic flux were enhanced after further treatment of A549 cells with siLRRC15. The above findings suggest that LRRC15 is an indicator of epithelial cell damage and may participate in the regulation of fibrosis through autophagy mechanism in IPF. This study provides necessary theoretical basis for further elucidating the mechanism of IPF.

Effects of front-of-package nutrition labelling systems on objective understanding and purchase intention in Panama: results from a multi-arm parallel-group randomised controlled trial.

To assess the effect of different front-of-package labelling (FOPL) schemes on the objective understanding of the nutritional content and intention to purchase products, in Panama. Single-blinded multi-arm parallel-group randomised controlled trial. Supermarkets across Panama. Participants were exposed to two-dimensional images of fifteen mock-up products presented at random and balanced orders. Participants assigned to the intervention groups were exposed to mock-ups featuring one FOPL scheme: black octagonal warning labels (OWL), traffic-light labelling (TFL) or guideline daily amounts (GDA). The control group was not exposed to any FOPL scheme. Adult supermarket shoppers (n 1200). Participants were blinded to group assignment. A similar number of participants were randomised and analysed in each group: OWL (n 300), TFL (n 300), GDA (n 300) and control (n 300). The odds of choosing to purchase the least harmful or none of the options more often was the highest in the OWL group. Compared with the control group, these odds were two times higher in the OWL group (OR 2·13, 95 % CI 1·60, 2·84) and 57 % higher in the TFL (1·57, 1·40-2·56), with no changes in the GDA (0·97, 0·73-1·29). OWL also resulted in the highest odds for correctly identifying the least harmful option and for correctly identifying a product with excessive amounts of sugars, sodium and/or saturated fats. OWL performed best in helping shoppers to correctly identify when a product contained excessive amounts of nutrients of concern, to correctly identify the least harmful option and to decide to purchase the least harmful or none of the options, more often.

Study on International Genetically Modified Food Labeling System via the Perspective of Consumers’ Right to know

China has been promoting the industrialization of genetically modified technology and has implemented stringent labeling regulations to safeguard consumers' access to information. The labeling system plays a crucial role in linking technology commercialization with market consumption. Yet, in practical applications, the labeling regulations has deepened consumer prejudice and impeded the progress of the genetically modified food business. The genetically modified food labeling systems of the United States, the European Union, and Japan merely cover most of the labeling types worldwide. Either adhering to scientific reliability principle and adopting a voluntary labeling system, or adhering to risk prevention principle and adopting a mandatory labeling system, or implementing the principle of combining rigidity and flexibility and adopting a compromise management, different countries have established genetically modified food labeling systems based on their own circumstances. Learning from global advanced practices and tailoring them to the characteristics of China，we have the potential to boost our own genetically modified labeling system progressing.

AutoDLAR: A Semi-supervised Cross-modal Contact-free Human Activity Recognition System

WiFi-based human activity recognition (HAR) plays an essential role in various applications such as security surveillance, health monitoring, and smart home. Existing HAR methods, though yielding promising performance in indoor scenarios, highly depend on a massive labeled dataset for training which is extremely difficult to acquire in practical applications. In this paper, we present an automatic data labeling and HAR system, termed AutoDLAR. Taking a semi-supervised cross-modal learning framework with a hybrid loss function as the core, AutoDLAR transfers rich visual information to automatically label WiFi signals for WiFi-based HAR. Specifically, we devise a lightweight and multi-view WiFi sensing model with a parallel feature embedding method to accurately identify activities and accelerate recognition speed. Then, we exploit the video data to fine-tune a well-established visual HAR model, generating effective pseudo-labels for guiding the WiFi model’s training. We also build a synchronized Video-WiFi dataset with seven types of human activities under different scenarios to enable training and validating the semi-supervised HAR system. Extensive experiments on our collected activity dataset and the emotion recognition benchmark demonstrate that AutoDLAR attains an average accuracy of over 95.89% without manual labeling and only spends the inference time of 3.35 ms, outperforming the state-of-the-art (SOTA) methods.

Review and Assessment of Existing and Future Techniques for Traceability with Particular Focus on Applicability to ABS Plastics.

It is generally recognized that the use of physical and digital information-based solutions for tracking plastic materials along a value chain can favour the transition to a circular economy and help to overcome obstacles. In the near future, traceability and information exchange between all actors in the value chain of the plastics industry will be crucial to establishing more effective recycling systems. Recycling plastics is a complex process that is particularly complicated in the case of acrylonitrile butadiene styrene (ABS) plastic because of its versatility and use in many applications. This literature study is part of a larger EU-funded project with the acronym ABSolEU (Paving the way for an ABS recycling revolution in the EU). One of its goals is to propose a suitable traceability system for ABS products through physical marking with a digital connection to a suitable data-management system to facilitate the circular use of ABS. The aim of this paper is therefore to review and assess the current and future techniques for traceability with a particular focus on their use for ABS plastics as a basis for this proposal. The scientific literature and initiatives are discussed within three technological areas, viz., labelling and traceability systems currently in use, digital data sharing systems and physical marking. The first section includes some examples of systems used commonly today. For data sharing, three digital technologies are discussed, viz., Digital Product Passports, blockchain solutions and certification systems, which identify a product through information that is attached to it and store, share and analyse data throughout the product's life cycle. Finally, several different methods for physical marking are described and evaluated, including different labels on a product's surface and the addition of a specific material to a polymer matrix that can be identified at any point in time with the use of a special light source or device. The conclusion from this study is that the most promising data management technology for the near future is blockchain technology, which could be shared by all ABS products. Regarding physical marking, producers must evaluate different options for individual products, using the most appropriate and economical technology for each specific product. It is also important to evaluate what information should be attached to a specific product to meet the needs of all actors in the value chain.

Chinese text recognition and knowledge graph of Shen Nong Ben Cao Jing based on BERT pre-trained language models

Background: The research and utilization of ancient traditional Chinese medicine (TCM) books are relatively limited at present. With the rapid development of artificial intelligence (AI), knowledge graph related technology has brought light on this field. Objective: To construct the knowledge graph of Shen Nong Ben Cao Jing, analyze basic knowledge of materia medica, explore implicit knowledge, and conduct visualization display, as well to provide methodological references for the study of ancient TCM books. Methods: The types of knowledge entities and relationships between entities in Shen Nong Ben Cao Jing were analyzed. A training corpus dataset was produced by using the BIO sequence labeling method; a self-developed CNLP text labeling system was used for text labeling; the BERT model was used to recognize named entities; the relationships between entities were set based on rules and semantic associations; the data into the Neo4j-community 4.4.9 graph database was imported by using Cypher language for storage and visualization display after knowledge fusion; finally, a knowledge graph was constructed. Results: The knowledge graph of Shen Nong Ben Cao Jing included 5, 273 nodes and 11, 064 relationships. The schema layer contained 14 entity types and 15 relationship types. Through the query, knowledge can be visualized from the aspects of classification, property, and seven mutual relationships of herbal combination. Conclusion: The knowledge graph constructed in this study directly reflects the knowledge recorded in Shen Nong Ben Cao Jing and the relationship between them, which is suitable for knowledge mining and intuitive multi-dimensional display of ancient TCM books.

Formulating a descriptive framework and tagging system for design futures practice cases: Enabling heuristic tool development for design education and creative inspiration

There has been a growing trend to extend the domain of futures studies into practical realms by integrating materials, methodologies, and perspectives from design and the arts. Design Futures” is an emerging field that arises from the interaction between design and foresight, holding great potential for expansion and development. However, there is still a lack of heuristic design tools to empower the creation of practice cases in design futures. Due to the intricacies of the sub-genres of Design Futures practice cases, our prior work included the development of a universal case description framework with a quantitative tagging system to place the different genres of cases on a common ground for study. Firstly, the study established a global descriptive framework and tagging system (4 segments, 7 primary labels, and 36 secondary labels) around 5 Design Futures sub-types through a qualitative approach. Secondly, the study invited 109 participants from five different subjects areas to conduct an empirical study to validate the proposed framework and quantify the tagging system. The results show that the rationality of the framework is preliminarily confirmed; the strength of the correlation between genres and labels is weak; in terms of the quantification of labels, the study produces 62 valid secondary labels (positive 29, negative 33), accompanied by quantitative data as the basis for recommendation, forming a creativity-enabling, content-rich labeling system that can reflect the characteristics and differences between the many genres of Design Futures. Finally, the study proposes three modes of heuristic design (confirmatory, constructive and open-ended), which provide rules to guide the use and collocation of the tagging system. The results of this research have deepened the understanding of the concepts and structures of knowledge in the field of Design Futures, which will play a more extensive role in design pedagogy and creative inspiration contexts.

Identification and Characterization of Potential Anti-Hypertensive Therapeutic Candidates in Rho-related BTB Domain Containing 1 (RhoBTB1)-Cullin 3 (CUL3) Axis

Blood pressure (BP) is regulated by a variety of cellular mechanisms. We previously reported the regulation of endothelial nitric oxide (NO)-dependent vessel tone and BP through RhoBTB1-CUL3 mediated proteasomal turnover of Phosphodiesterase 5 (PDE5). We determined that the C-terminal half of RhoBTB1 consisting of two BTB-domains (B1 & B2) and the C-terminal (C) domain of RhoBTB1 can deliver PDE5 to proteasomal pathway. The cellular expression of RhoBTB1 and CUL3 is ubiquitous whereas expression of PDE5 is cell specific. Moreover, vessel tone is regulated through NO-independent mechanisms. Therefore, we hypothesized that RhoBTB1 may have other interacting partners, potentially functioning as regulators of vessel tone and BP in vascular smooth muscle (VSM) cells, through a similar mode of binding as PDE5. Therefore, we utilized ascorbate peroxidase (APEX2) proximity labelling system comprising APEX2 tagged B1B2C domain (B1B2C-APEX2) to identify unknown potential regulators of vasomotor tone in RhoBTB1-CUL3 axis in A7R5 VSM cells. The background of the proteomic screen was minimized by utilizing APEX2-B1B2 which lacks the final C-terminal region of the protein and cannot bind PDE5. We validated the interaction of several identified proteins with RhoBTB1 and the B1B2C domains using co-immunoprecipitation (Co-IP). Our Co-IP data corroborated the proteomic screen as several proteins demonstrated differential interaction with B1B2C and B1B2. Among them, we examined RbFox2, a regulator of mRNA splicing for further investigation. Further data established that RbFox2 is upregulated under the following conditions: 1) pharmacological inhibition of the proteasomal pathway, 2) in CRISPR edited CUL3KO HEK293 cells, 3) in aorta of VSM cell-specific CUL3 deleted mice, 4) by siRNA mediated knock-down of RhoBTB1 in SMCs, and 5) in Ang-II treated SMCs and aorta of Ang-II treated animals. We hypothesized that RbFox2 could modulate actin and actinin-dependent cytoskeletal dynamics, an important regulator of arterial stiffness. First, Co-IP data suggest an interaction between RbFox2 and SMC-specific alpha actinin. Next, siRNA-mediated knock down of RbFox2 altered the actin and actinin-dependent cytoskeletal dynamics in SMCs. Collectively, this establishes the potential regulation of RbFox2 through the RhoBTB1-CUL3 proteasomal pathway and that RbFox2 may play a mechanistic role in arterial stiffness in hypertension. Funding: NIH R35 HL144807 (to Dr. Curt D. Sigmund). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Perancangan Sistem Labeling ODP (Optical Distribution Point) Berbasis Web di PT. Telkom Akses Balikpapan

PT. Telkom Akses has an assurance division whose job is to carry out preventive maintenance on the Indihome network and handle problems directly with the TTR (Time To Repair) concept of < 3 hours. However, in handling disruptions, technicians often encounter obstacles regarding invalid ODP data and customer data, which makes the work of assurance technicians less efficient. To overcome this problem, efforts were made to create an ODP label system which contains information regarding ODP status and customer data. This research uses the waterfall design method which focuses on development using UML (Unified Model language) and using the PHP programming language, as well as Xampp with Apache as the web server. and MySQL which is used as database storage. So this research produces an application that can make it easier for technicians to search for customer data. Based on the test results, the web-based Optical Distribution Point (ODP) labeling system has met the expected usability aspects. Testing has been carried out using the functional blackbox testing method, namely by using a series of case experiments on functions that have been built both from the admin and user side. The output results provided were as expected and there were no errors or output that was outside of what was expected.