General Guidance Research Articles

Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis.

In the field of healthcare, the acquisition of sample is usually restricted by multiple considerations, including cost, labor- intensive annotation, privacy concerns, and radiation hazards, therefore, synthesizing images-of-interest is an important tool to data augmentation. Diffusion models have recently attained state-of-the-art results in various synthesis tasks, and embedding energy functions has been proved that can effectively guide the pre-trained model to synthesize target samples. However, we notice that current method development and validation are still limited to improving indicators, such as Fréchet Inception Distance score (FID) and Inception Score (IS), and have not provided deeper investigations on downstream tasks, like disease grading and diagnosis. Moreover, existing classifier guidance which can be regarded as a special case of energy function can only has a singular effect on altering the distribution of the synthetic dataset. This may contribute to in-distribution synthetic sample that has limited help to downstream model optimization. All these limitations remind that we still have a long way to go to achieve controllable generation. In this work, we first conducted an analysis on previous guidance as well as its contributions on further applications from the perspective of data distribution. To synthesize samples which can help downstream applications, we then introduce uncertainty guidance in each sampling step and design an uncertainty-guided diffusion models. Extensive experiments on four medical datasets, with ten classic networks trained on the augmented sample sets provided a comprehensive evaluation on the practical contributions of our methodology. Furthermore, we provide a theoretical guarantee for general gradient guidance in diffusion models, which would benefit future research on investigating other forms of measurement guidance for specific generative tasks.

Propuesta de lineamientos generales para la gestión del conocimiento en bibliotecas infantiles

The objective of this research is to present a proposal for general guidelines for knowledge management in children’s libraries, taking as reference the experience of the academic activity of the School of Library Science, Documentation and Information (EBDI) of the National University (UNA) of Costa Rica with the name of the Miriam Álvarez Brenes Children’s Library (BIMAB) in the period between January 2018 and June 2020. This study had a qualitative approach and was explanatory; data collection was done primarily through bibliographic review and experiences obtained in the management of this academic activity. As main results and conclusions, it is possible to highlight the definition of a series of general guidelines for knowledge management that can be related and adjusted to the context of any children’s library; so, general guidance is provided for the continuous improvement of management processes of the information unit and to facilitate access and democratization of information products and services for its community of users.

General solutions of the Maxwell’s equations for a mechano-driven media system (MEs-f-MDMS)

Abstract For engineering electromagnetism, media/objects have shapes and sizes and may move with accelerations along complex trajectories in reference to the observers in the Laboratory frame. To describe the electromagnetic behavior of a system that is made of multiple moving objects, we have developed the Maxwell’s equations for a mechano-driven media system (MEs-f-MDMS) under low-speed approximation (v << c) [Advances in Physics: X, 9 (2024) 2354767]. Through extensive studies, the MEs-f-MDMS are required for describing the electrodynamics inside a moving object, while the classical Maxwell’s equations are to describe the electrodynamics in the region that is at stationary with respect to the Laboratory frame. The full solutions of the two regions satisfy the boundary conditions. The accelerated movement of a medium is a source for generating electromagnetic wave at its vicinity, but this component was missed in classical Maxwell’s equations. In this paper, we present the strategies for solving the MEs-f-MDMS for a generate case with considering the dispersion of the medium and the related constitutive relations both in time and frequency spaces. The theory is rather general and will serve as general guidance for numerical calculations toward practical applications.

Telerehabilitation in post-tuberculosis lung disease: a protocol for a randomized controlled clinical trial

Background: Few studies have evaluated structured telerehabilitation programs for individuals with post-tuberculosis lung disease (PTLD), resulting in a lack of specific guidelines. This protocol aims to evaluate the physical capacity and quality of life (QoL) of PTLD patients undergoing telerehabilitation. Methods: This randomized, controlled clinical trial has received internal review board approval and will recruit participants between December 2024 and June 2025, from a referral center in Brazil. Individuals thought to have PTLD, with a mini-mental state examination score >24 and no physical limitations or comorbidities unrelated to pulmonary tuberculosis (TB) will be screened using imaging, total blood count, and biochemical profile. Those with confirmed PTLD will undergo the assessments of: QoL, and physical capacity (spirometry, body composition, calf circumference, six-minute walk test (6MWT), five-times-sit-to-stand test (FTSST), handgrip and isokinetic dynamometry). After that, the participants will be randomly allocated to control or intervention groups. While both groups will receive general guidance on health education and TB prevention, the intervention group will also receive a physiotherapy booklet with instructions for exercises to be performed five times a week for eight weeks. Participants of both groups will be monitored by videoconference, and the same assessment tools will be used to reevaluate QoL and physical capacity outcomes. Conclusions: The results may demonstrate the benefits of a telerehabilitation program on the physical capacity and QoL of PTLD patients, and may improve accessibility, cost savings, and personalized care through home-based therapy by videoconferencing. Trial registration: CAAE: 10481219.9.0000.5257. This study was registered at ClinicalTrials.gov (NCT04844502).

Monitoring a mass timber—BRB braced mass timber frame under cyclic loading via acoustic emission

This article focuses on the acoustic emission (AE) monitoring of a new type of mass timber buckling restrained brace (T-BRB), consisting of a wood casing made of mass plywood panel and a steel core embedded in the casing, for improving seismic resilience of mass timber structures. The casing secures the steel core through a series of bolts. To investigate the failure mechanisms of T-BRBs, two cyclic loading tests are conducted on a mass timber frame braced by T-BRBs with and without carbon fiber-reinforced polymer wraps, and an AE system is deployed for structural health monitoring (SHM). Multiple AE signatures are analyzed to infer the yielding point and failure modes of the T-BRB. AE features, including AE hit rate and cumulative energy, can successfully identify the ultimate structural failures. Results from AE hits and measured area of rectified signal envelope (MARSE) per quarter cycle suggest that the first significant feature values correspond to the cycle when the embedded steel core yielded. The b-value analysis demonstrates a general decreasing trend through the loading process and can characterize the evolution of structural damages. By evaluating both the strain energy and AE energy to reflect damage severity, the sentry function can identify the load cycle of steel core yielding and ultimate structural failure. As the first work applying AE monitoring on structural experiments of T-BRB, this research provides general guidances for SHM of T-BRB braced mass timber structures.

Developing an infodemic management toolkit for immunization: An iterative consultation process

Abstract Issue An infodemic is an overwhelming amount of information, accurate and otherwise, that accompanies health emergencies such as outbreaks and other health crises. Infodemic management work is done by people from different positions and professions, with differing resources at their disposal, and applied to a range of health issues. An infodemic insights report can help identify questions, concerns, information voids and circulating mis- disinformation to help inform an emergency response. Health issue specific guidance can be useful for those who may have infodemic management as part of their regular work but want to identify infodemic insights and contextualize these insights in relation to other programme data. Description The WHO and UNICEF ‘how to build an infodemic insights report in 6 steps’ document provides general guidance. A more immunization specific document, with practical and specific tools in standalone short focus areas was developed to guide infodemic managers or those working on vaccine demand and acceptance, and by vaccination field workers. The toolkit is intended for vaccines across the life course, including for children, adolescents, pregnant people, adults, and people with pre-existing conditions or have other vulnerabilities. Results Rounds of iteration with experts both internal and external to WHO provided useful feedback, review and suggestions. The toolkit provides information targeted at different resource and capacity levels. Lessons The consultative process resulted in a toolkit informed by experts and those who are likely end-users of the document. The consultations sought to align the toolkit with immunization programme processes and with other tools and interventions for improving vaccine uptake. Having health issue specific guidance is a useful addition to the infodemic manager toolbox and tools such as these can be an important component of community resilience and health security initiatives. Key messages • For immunization, infodemic management can support programme activities to build vaccine confidence and improve uptake, and manage vaccine-related events. • Expert informed guidance on health topic specific areas can be a useful addition to the infodemic manager toolbox.

A caution on sibling comparisons in studying effects of the rearing environment

Abstract Recent studies use sibling fixed effects to estimate the influence of the family environment on children, a practice we call the ‘discordant family design’. These studies suffer from a disconnect between the use of within-family variation, on the one hand, and relevant theories which mostly refer to variation between families on the other. In addition, reverse causality, within-family confounding, selection into identification, and measurement error complicate their interpretation further. We discuss three applied examples—the effects of parenting, family income, and neighbourhood context—and provide some general guidance. To avoid misinterpretation, researchers should have a strong grasp of the variance that enters into estimation, and not just the potential confounders a given strategy is designed to deal with.

The impact of the first phase of the COVID-19 pandemic on referral patterns and therapeutic service provision for children and young people's psychosocial distress in a Low-or Middle-Income Country: A service evaluation of routinely collected data from a non-government organisation operating in schools in the Western Cape, South Africa.

In low- and middle-income countries (LMICs), including South Africa, there is a paucity of psychosocial support services. Therefore, services are often provided in schools by non-government organisations like Community Keepers (CK). The COVID-19 pandemic and resultant restrictions meant that children and young people's (CYP) lives changed, negatively affecting their mental health. Further, organisations like CK had to change their working processes. This project compared routinely collected data from CK from 2019 (pre-pandemic) to 2020 (pandemic) to describe the changes that occurred in referral patterns to, and service provision by, CK. Both pre-pandemic and during the pandemic, most referrals of CYP were for emotional/psychological support and behavioural difficulties. In 2020, referrals for general guidance increased, whilst referrals for peer group issues and sexuality decreased. Further, CK completed more brief check-ins, provided wellbeing workshops to increased numbers of teachers, parents and CYP, and had more consultation sessions with other service providers during the pandemic. Routinely collected data from this community-based service in a LMIC context shows differences in the way that support was provided, and to whom, during the COVID-19 pandemic. Clinical implications, including the importance of increasing access to psychosocial support via technology, are included.

Using Artificial Intelligence in Digital Video Production: A Systematic Review Study

Artificial Intelligence (AI) advancements have significantly enhanced computer systems to better cater to user needs, consequently improving user experiences. One area witnessing widespread adoption of AI technology is in the production of digital videos, which find application across various fields, including education. This study aims to delineate the emerging trends in research concerning the integration of AI technology in digital video production. To achieve this objective, we conducted a systematic literature review across several databases, including Web of Science, ERIC, Taylor & Francis, Education Full Text EBSCO, and Sciencedirect. Following the PRISMA flowchart, studies were meticulously screened and selected based on predefined inclusion criteria aligned with the study's purpose. Our analysis encompassed 14 international studies, revealing diverse digital content creations facilitated by AI support. These technologies, offering various interaction dimensions, serve multiple purposes such as providing general guidance, reinforcing knowledge, facilitating design or experimentation, and delivering personalized experiences through tailored technologies. Despite these advancements, the full potential of AI technology remains underutilized. Hence, future research should prioritize the development of digital content that accommodates individual differences, fosters social interaction, incorporates enriched features, and is adaptable to diverse environments. In conclusion, while AI-driven advancements in digital video production hold promise, there exists ample room for further exploration and optimization to fully leverage the capabilities of this technology.

Ethical, Legal, and Social Implications of Gene-Environment Interaction Research.

Many complex disorders are impacted by the interplay of genetic and environmental factors. In gene-environment interactions (GxE), an individual's genetic and epigenetic makeup impacts the response to environmental exposures. Understanding GxE can impact health at the individual, community, and population levels. The rapid expansion of GxE research in biomedical studies for complex diseases raises many unique ethical, legal, and social implications (ELSIs) that have not been extensively explored and addressed. This review article builds on discussions originating from a workshop held by the National Institute of Environmental Health Sciences (NIEHS) and the National Human Genome Research Institute (NHGRI) in January 2022, entitled: "Ethical, Legal, and Social Implications of Gene-Environment Interaction Research." We expand upon multiple key themes to inform broad recommendations and general guidance for addressing some of the most unique and challenging ELSI in GxE research. Key takeaways include strategies and approaches for establishing sustainable community partnerships, incorporating social determinants of health and environmental justice considerations into GxE research, effectively communicating and translating GxE findings, and addressing privacy and discrimination concerns in all GxE research going forward. Additional guidelines, resources, approaches, training, and capacity building are required to further support innovative GxE research and multidisciplinary GxE research teams.

Antimicrobial susceptibility testing of bone and joint pathogens using isothermal microcalorimetry.

The rise in osteomyelitis and periprosthetic joint infections, in combination with increasing life expectancy and the prevalence of diabetes, underscores the urgent need for rapid and accurate diagnostic tools. Conventional culture-based methods are often time-consuming and prone to false-negatives, leading to prolonged and inappropriate antibiotic treatments. This study aims to improve osteomyelitis diagnostics by decreasing the time to detection and the time to an antibiotic susceptibility result to enable a targeted treatment using isothermal microcalorimetry (IMC). IMC measures heat flow in real-time, providing insights into bacterial metabolism without the need for labeling. Using clinical isolates from bone infections, assessing their response to antibiotics through IMC, we demonstrated that IMC could detect bacteria within 4 h and determine antimicrobial susceptibility profiles within 2-22 h (median 4.85, range 1.28-21.78). This is significantly faster than traditional methods. A decision tree, based on antibiotic susceptibility, accurately categorized pathogens, achieving high accuracy (74-100%), sensitivity (100%), and specificity (65-100%). These findings suggest that IMC could redefine diagnostics of bone and joint infections and potentially infections in general, offering timely and precise treatment guidance, thereby improving patient outcomes and reducing health care burdens. Further optimization and clinical validation are needed to fully integrate IMC into routine diagnostics.

Information Technology Governance Between Iso 38500, Risk It and Val It in Private University

This study explores the application of the ISO 38500, Risk IT, and Val IT frameworks in improving IT governance at the university. ISO 38500 provides general guidance for IT management by boards of directors, while Risk IT focuses on IT risk management and Val IT focuses on managing the value of IT investments. Qualitative research methods were used, including interviews with key stakeholders at Pamulang University. The research results show that the integration of the ISO 38500, Risk IT, and Val IT frameworks has helped universities optimize strategic decision-making regarding IT. Implementation of this framework increases transparency, accountability and holistic IT risk management across the university. However, challenges faced include a lack of deep understanding of the framework and the need to ensure consistency in implementation. Recommendations for the university include more intensive training for staff, strengthening communication between different units, and developing performance metrics that align with the university's strategic goals. This research makes an important contribution to the practical understanding of implementing effective IT governance in higher education environments, by highlighting the benefits and challenges of integrating the ISO 38500, Risk IT, and Val IT frameworks.

A probabilistic approach for the levelized cost of energy of floating offshore wind farms

This paper aims to analyze the levelized cost of energy (LCOE) of floating offshore wind farms from a probabilistic point of view. Understanding and addressing the uncertainty associated with the main parameters that influence the wind energy generated by a wind farm during its lifetime is crucial for the economic evaluation of offshore wind energy in the broader energy landscape. The methodology for probabilistic assessment of LCOE is introduced, and the uncertainty in input parameters are discussed. In a base case study, an assumed Floating Offshore Wind Farm (FOWT) consisting of 250 5-MW wind turbines is considered. The use of bias and randomness in key random variables is discussed and studied in detail. Results indicate that LCOE estimates of 15 EURc/kWh for offshore wind turbines are achievable with reasonable confidence, while estimates of 5 EURc/kWh require careful consideration of uncertainty in the wind farm’s parameters. The feasibility analysis showed that techno-economic parameters are more influenced by wind characteristics and efficient use of wind turbines than by the cost of the wind farm. This paper provides general guidance on how to carry out early-stage techno-economic analysis of FOWFs.

Daily life in the Open Biologist's second job, as a Data Curator.

Data reusability is the driving force of the research data life cycle. However, implementing strategies to generate reusable data from the data creation to the sharing stages is still a significant challenge. Even when datasets supporting a study are publicly shared, the outputs are often incomplete and/or not reusable. The FAIR (Findable, Accessible, Interoperable, Reusable) principles were published as a general guidance to promote data reusability in research, but the practical implementation of FAIR principles in research groups is still falling behind. In biology, the lack of standard practices for a large diversity of data types, data storage and preservation issues, and the lack of familiarity among researchers are some of the main impeding factors to achieve FAIR data. Past literature describes biological curation from the perspective of data resources that aggregate data, often from publications. Our team works alongside data-generating, experimental researchers so our perspective aligns with publication authors rather than aggregators. We detail the processes for organizing datasets for publication, showcasing practical examples from data curation to data sharing. We also recommend strategies, tools and web resources to maximize data reusability, while maintaining research productivity. We propose a simple approach to address research data management challenges for experimentalists, designed to promote FAIR data sharing. This strategy not only simplifies data management, but also enhances data visibility, recognition and impact, ultimately benefiting the entire scientific community.

ThP7.5 - District General Hospital Management of Chest Trauma in Frail Adults: A Need for National Guidelines for Frailty in General Surgery

Abstract Annually, 16,000 adults face chest trauma, with blunt injuries in the elderly leading to high mortality rates. In TARN Chest trauma ranks as the second deadliest trauma in older adults, following head injuries. There's significant inconsistency, nationally, in the General Surgical management of these patients. Aims This study evaluates outcomes at a DGH to establish a basis for national guidelines Methods Single centre retrospective review of patients over the age of 65 presenting with chest trauma from Jan 2022 to Jan 2023. Results 114 Patients were included. Median age was 81 with a male predominance of 57.9%. Mortality was 17/109 (15.6%). Mechanisms of injury were fall from standing height (71.9%), fall from height >2m (18.8%) and RTA 9.3%. Median Rib fractures sustained were 4 (range 0 - >10). 51.8% of the patients had an associated pleural injury, 14 patients required a drain. 70 (61.4%) had isolated chest injuries, 29 (25.4%) had one other injured body region and 15 (13.2%) had three or more injured body regions. Median STUMBL score was 25 (9 – 52), 42.6% had a score of ≥ 27. 16.4% of patients were vulnerable and 51% were frail. Median Charlson co-morbidity index was 5 (range 2-11). 39% of patients had timely Geriatric review during admission and 14% were not referred. Conclusion DGH General Surgery teams admit high volumes of frail patients with chest trauma. Nationally there is an absence of general surgery chest trauma guidance (BOASTs now archived). These patients are complex requiring early support from Geriatricians to guide the goals of care. Careful consideration should be given to referral pathways, MDT and priorities of care.

Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations

AbstractSeawater carbonate chemistry observations are increasingly necessary to study a broad array of oceanographic challenges such as ocean acidification, carbon inventory tracking, and assessment of marine carbon dioxide removal strategies. The uncertainty in a seawater carbonate chemistry observation comes from unknown random variations and systematic offsets. Here, we estimate the magnitudes of these random and systematic components of uncertainty for the discrete open‐ocean carbonate chemistry measurements in the Global Ocean Data Analysis Project 2022 update (GLODAPv2.2022). We use both an uncertainty propagation approach and a carbonate chemistry measurement “inter‐consistency” approach that quantifies the disagreement between measured carbonate chemistry variables and calculations of the same variables from other carbonate chemistry measurements. Our inter‐consistency analysis reveals that the seawater carbonate chemistry measurement community has collected and released data with a random uncertainty that averages about 1.7 times the uncertainty estimated by propagating the desired “climate‐quality” random uncertainties. However, we obtain differing random uncertainty estimates for subsets of the available data, with some subsets seemingly meeting the climate‐quality criteria. We find that seawater pH measurements on the total scale do not meet the climate‐quality criteria, though the inter‐consistency of these measurements improves (by 38%) when limited to the subset of measurements made using purified indicator dyes. We show that GLODAPv2 adjustments improve inter‐consistency for some subsets of the measurements while worsening it for others. Finally, we provide general guidance for quantifying the random uncertainty that applies for common combinations of measured and calculated values.

Current research status of virus-like particle vaccine

Virus-like particles (VLPs) are self-assembled protein nanoparticles with repetitive antigen epitopes, which can stimulate immune response and do not contain viral genetic materials. VLPs has important research value and application potential in vaccine development, targeted drug delivery and bioengineering materials. In this review, the mechanism of VLPs vaccine induced immune responses is discussed. The existing VLPs expression systems are summarized. The research progress of VLPs vaccine in prevention and treatment of virus infection are summarized. This review provides general reference and guidance for the design and development of antiviral VLPs vaccine.

Source-to-sink processes and genetic mechanism of progradational and lateral accretion submarine fans in the Qiongdongnan Basin, South China Sea

Submarine fan reservoirs are important accumulation zones for oil, gas, and natural gas hydrates, offering significant potential for hydrocarbon exploration. During the deposition period of the Sanya Formation in the southern part of the Changchang Sag of the Qiongdongnan Basin, a large submarine fan developed. However, the internal structure, source-sink system, and formation mechanism of this fan remain poorly understood, posing significant challenges to exploration in this area. This paper examines the source-to-sink sedimentary processes and deposition of submarine fans, using the Changchang Sag, in the Qiongdongnan Basin in the Northern South China Sea, as an example, which will provide valuable general guidance for deep water oil and gas exploration. Based on the theories of seismic stratigraphy and seismic sedimentology, this paper utilizes techniques such as seismic facies analysis, seismic attribute optimization, paleogeomorphology reconstruction, and source-to-sink sedimentary system analysis to analyze the 3D seismic data of the study area. Research indicates that the Sanya Formation in the Changchang Sag of the Qiongdongnan Basin comprises three depositional units: submarine fan, feeder channel, and Semi-deep marine to deep marine mudstone. The submarine fan is a fan formed by the coupling and convergence of submarine fans sourced from the southwest and southeast. Internally, it is divided into three sub-facies: the proximal fan of the sand-rich submarine fan, the main body of the sand-rich submarine fan lobes, and the distal lobes of the sand-rich submarine fan. The submarine fan sourced from the southwest extends nearly north-south and is primarily fed by sediment transported through three large, banded ancient valleys. The sedimentary filling is characterized by three-phase progradation. The submarine fan sourced from the southeast extends nearly east-west and is primarily fed by sediment transported through a single large, banded ancient valley. The sedimentary filling is characterized by two-phase lateral accumulation. During the deposition period of the Sanya Formation, certain areas of the southern uplift belt were exposed for extended periods and subjected to weathering and erosion. Sediments are transported to large ancient valleys through small supply channels. A large number of sediments were transported to the southern slope of the Changchang sag through the provenance channel system such as large ancient valleys and slope belts and deposited in the center of the sag. These make up a complete system of large ancient uplifts and submarine fan source-to-sink sedimentary systems.The sedimentary model is a lobed submarine fan controlled by semi-restricted ancient valleys and expansive basins.

Appropriateness of Ketoanalogues of Amino Acids, Calcium Citrate, and Inulin Supplementation for CKD Management: A RAND/UCLA Consensus.

Current treatment for chronic kidney disease (CKD) focuses on improving manifestations and delaying progression. Nutritional approaches play a crucial role in CKD management, and various supplements have become available. Ketoanalogues of amino acids (KAs), calcium citrate, and inulin have been proposed as suitable supplements, yet their widespread use has been limited due to insufficient evidence. This study aimed to generate general guidance statements on the appropriateness of these supplements through a RAND/UCLA consensus process. A RAND/UCLA consensus panel was convened to evaluate the appropriateness of these supplements in different clinical scenarios. In this study, we present a subgroup analysis focusing on a panel of eleven clinical nephrologists from among the experts. Supplementation of low-protein diets (LPDs) and very low-protein diets (VLPDs) with KA was considered appropriate to reduce manifestations and delay CKD outcomes, supplementation with calcium citrate is considered appropriate to reduce CKD manifestations, and supplementation with inulin is considered appropriate to delay CKD outcomes and manage comorbidities. Based on a combination of clinical experience and scientific evidence, the panel reached a consensus that KA supplementation of LPD and VLPD, calcium citrate, and inulin are appropriate in patients with CKD across various scenarios.

Diseminasi Snack Ternak Berbahan Baku Lokal (Berakal) Sebagai Solusi Pakan Berkualitas dan Ekonomis di Kabupaten Sigi

Considering the abundance of underutilized local feed materials, particularly large amounts of agricultural waste that have yet to be optimized as a feed source, the production of feed snacks is expected to provide a solution for utilizing this waste. By adding local ingredients such as moringa leaves, which have highly potential nutritional content, the development of these feed snacks is further enhanced. Moringa leaves are a valuable commodity in terms of both their nutritional content and benefits when added to feed formulations, serving to complement the standardized nutrient requirements. Through a technological processing involving silage/fermentation and to facilitate application and increase storage life, the product is formed into snacks. Addressing the ongoing complaints of farmers regarding the need for feed with high protein content at an economical price, the BERAKAL livestock snack emerges as a solution to meet this demand. With an affordable price, it is expected to fulfill the needs of farmers who face a shortage of quality feed compared to commercial concentrates which are relatively more expensive. The methods of socialization and technical guidance typically involve several stages and strategies to enhance the competence and awareness of the community, such as initial socialization, training and technical guidance, and general technical guidance. BERAKAL livestock snacks can increase livestock productivity, leading to increased production of meat, milk, and eggs, and improving the competitiveness of Indonesian livestock products. BERAKAL livestock snacks can enhance the competitiveness of Indonesian livestock products in the global market. The BERAKAL livestock snack program has the potential to provide significant benefits to universities in terms of implementing MBKM and achieving IKU. Some of these benefits include increasing collaboration with industry partners and the community. This program will involve industry partners and the community in the development and marketing of BERAKAL livestock snacks. This collaboration can enhance the university's reputation as a reliable partner in developing products and services that benefit the community.