Minimal Risk Research Articles

Risk minimizing framework for solar photovoltaics

The complexity of risk assessment and the challenges in decision-making often impede the application of various models to renewable energy systems. This study introduces a comprehensive framework designed to streamline this process, facilitating informed decisions regarding the estimation of risks associated with solar photovoltaic (PV) technologies. Leveraging data and information available in the literature, the framework is particularly useful for manufacturers in selecting materials that balance low environmental risk with high efficiency. The framework emphasizes early-stage risk minimization by integrating changes during PV development, thereby promoting cleaner production systems. It’s interconnected components encompass various approaches to risk assessment, control, and management, providing a structured methodology for risk reduction. Based on available information, the defined steps guide users through evaluating and mitigating risks. Applying risk minimization by metal substitution approach lowers the oral-ingestion and dermal-contact risk by a magnitude of four and six times, respectively. This framework will guide regulatory bodies throughout each step of the product life cycle, suggesting necessary changes and assessment strategies aligned with the perspectives of various stakeholders. By facilitating the identification and implementation of the most effective risk management strategies, the framework aims to advance the development of sustainable and safe PV technologies.

Feasibility and acceptability of a web-intervention to prevent alcohol and cannabis-impaired driving among adolescents in driver education

Abstract Background Adolescents increasingly view cannabis as a substance with limited harm. Their propensity to engage in risky driving, combined with their relative driving inexperience, places adolescents at heightened risk for harm resulting from impaired driving. Driver education provides an opportunity to help prevent and reduce these risks, yet few interventions address cannabis-impaired driving, especially impairment from simultaneous use of both cannabis and alcohol. Methods We adapted a single-session primary care brief intervention (CHAT) for driver education programs. First, we conducted two focus groups with adolescents aged 15–17 years (n = 6; n = 5) enrolled in driver education programs in Michigan and Colorado. Their feedback was integrated into a prototype of an online intervention called webCHAT that focuses on preventing alcohol and cannabis-impaired driving. Next, we recruited a new sample of adolescents who user tested webCHAT (n = 8) and provided qualitative and survey feedback. We analyzed qualitative data using classic content analysis and grouped themes according to the feasibility and acceptability of webCHAT. Results Participants suggested that webCHAT should have adolescent narrators in short, informal, and interactive videos. In satisfaction surveys (n = 8), 88% of participants would recommend webCHAT to a friend and 88% reported that they learned helpful skills regarding impaired driving. General acceptability was also reflected in interviews (n = 6; 100% would recommend the intervention to a friend, 100% indicated overall positive impressions, and 67% stated it was easy to use). Participants reported that it was helpful to learn about the negative effects of both cannabis and alcohol on driving behavior, voicing that webCHAT would help adolescents make more informed decisions. Conclusions Soliciting adolescent perspectives is critical when developing interventions targeting cannabis use because of increasingly permissive attitudes and perceptions of minimal risk associated with use. The current study highlights how feedback can help increase both the feasibility and acceptability of interventions.

Effects on lymph node size, staging and primary tumor histology on diagnostic accuracy of axillary lymph node aspirate of breast cancers.

Fine-needle aspiration cytology is preferred for axillary lymph node metastasis with low costs and minimal risks. To improve diagnostic performance by incorporating clinical-radiological-pathological parameters, a large cohort pre-operative aspirates in were reviewed for parameters affecting adequacy rate and accuracy. Axillary nodal aspirates from three institutions with histologic correlation were retrieved. Case notes were reviewed for parameters pertaining to the primary tumor, nodal status, histologic and cytologic diagnoses. Totally 1361 specimens were included. The risk of malignancy for C1-C5 categories were 53.39%, 27.45%, 70.97%, 83.33% and 88.00%, increasing to 75.86%, 94.59% and 99.28% for C3/C4/C5 categories excluding cases with neoadjuvant therapy. Node size (p < 0.001) and histologic grade (p = 0.003) of primary tumor positively correlated with specimen adequacy. Presence of in situ component trended towards inadequacy (p = 0.069). Lymph node size remained a strong predictor of concordant cytologic diagnosis (p < 0.001). A higher percentage of involved node (p = 0.006) and HER2 overexpressed breast cancers (p = 0.027) increased concordance. Cases with ≥ 4 (up to ≥ 10) positive nodes were more likely to be concordant (p = 0.009- < 0.001), with improvements of 8.27%-12.37%. For size, cut-offs of ≥ 5 and ≥ 10mm were significant (p = 0.006- < 0.001). It is critical that clinical-radiological-pathological findings be interpreted together with cytology. Aspirates from smaller nodes are more likely to be non-informative, irrespective of the total number of suspicious nodes, or a high-grade primary. In axillae with less than 4 suspicious nodes and/or a target node of less than 5-10mm, the diagnostic accuracy of aspiration cytology decreases and should be interpreted cautiously.

Cervical intraepithelial neoplasia and cervical cytology in pregnancy

Cervical cancer screening during pregnancy presents unique challenges for cytologic interpretation. This review focuses on pregnancy-associated cytomorphological changes and their impact on diagnosis of cervical intraepithelial neoplasia (CIN) and cervical cancer. Pregnancy-induced alterations include navicular cells, hyperplastic endocervical cells, immature metaplastic cells, and occasional decidual cells or trophoblasts. These changes can mimic abnormalities such as koilocytosis, adenocarcinoma in situ, and high-grade squamous intraepithelial lesions, potentially leading to misdiagnosis. Careful attention to nuclear features and awareness of pregnancy-related changes are crucial for correct interpretation. The natural history of CIN during pregnancy shows higher regression rates, particularly for CIN 2, with minimal risk of progression. Management of abnormal cytology follows modified risk-based guidelines to avoid invasive procedures, with treatment typically deferred until postpartum. The findings reported in this review emphasize the importance of considering pregnancy status in cytological interpretation, highlight potential problems, and provide guidance on differentiating benign pregnancy-related changes from true abnormalities. Understanding these nuances is essential for accurate diagnosis and proper management of cervical abnormalities in pregnant women.

Neoantigen DNA vaccines are safe, feasible, and induce neoantigen-specific immune responses in triple-negative breast cancer patients

Abstract Background Neoantigen vaccines can induce or enhance highly specific antitumor immune responses with minimal risk of autoimmunity. We have developed a neoantigen DNA vaccine platform capable of efficiently presenting both HLA class I and II epitopes and performed a phase 1 clinical trial in triple-negative breast cancer patients with persistent disease on surgical pathology following neoadjuvant chemotherapy, a patient population at high risk of disease recurrence. Methods Expressed somatic mutations were identified by tumor/normal exome sequencing and tumor RNA sequencing. The pVACtools software suite of neoantigen prediction algorithms was used to identify and prioritize cancer neoantigens and facilitate vaccine design for manufacture in an academic GMP facility. Neoantigen DNA vaccines were administered via electroporation in the adjuvant setting (i.e., following surgical removal of the primary tumor and completion of standard of care therapy). Vaccines were monitored for safety and immune responses via ELISpot, intracellular cytokine production via flow cytometry, and TCR sequencing. Results Eighteen subjects received three doses of a neoantigen DNA vaccine encoding on average 11 neoantigens per patient (range 4–20). The vaccinations were well tolerated with relatively few adverse events. Neoantigen-specific T cell responses were induced in 14/18 patients as measured by ELISpot and flow cytometry. At a median follow-up of 36 months, recurrence-free survival was 87.5% (95% CI: 72.7–100%) in the cohort of vaccinated patients. Conclusion Our study demonstrates neoantigen DNA vaccines are safe, feasible, and capable of inducing neoantigen-specific immune responses. Clinical trial registration number NCT02348320.

Gut microbes of a high-value marine fish, Snubnose Pompano (Trachinotus blochii) are resilient to therapeutic dosing of oxytetracycline.

Trachinotus blochii is a high-value tropical mariculture species. The present study evaluated the gut microbial impact of therapeutic exposure (80mg/day/kg biomass for 10 days) to oxytetracycline, the most common aquaculture antibiotic in T. blochii. The cultivable counts, α-diversity measures of taxonomic and functional metagenomics, microbial dysbiosis (MD) index, and microbial taxon abundances showed the resilience of gut microbiota at 16-26 days of treatment. A significant reduction in bacterial abundance, diversity measures, Firmicutes and Actinobacteria and an increase in γ-Proteobacteria was recorded on the 6th and 11th day of treatment. The increased metagenomic stress signatures, decreased beneficial bacterial abundances, decreased abundance of microbial pathways on energy metabolism, and MD index indicated short-term transient stress during the initial days of therapeutic withdrawal, warranting health management measures. Therapeutic exposure reduced the abundance of fish pathogens, including Vibrio spp., kanamycin and ampicillin-resistant bacteria. Strikingly, oxytetracycline treatment did not increase tetracycline-resistant bacterial counts and the predicted abundance of tetracycline resistance encoding genes in the gut, illustrating that therapeutic application would not pose a risk in the context of antimicrobial resistance in short term. Altogether, the present study provides a foundation for oxytetracycline treatment to develop suitable risk minimization tactics in sustainable aquaculture.

A Predictive Model for Digital Currencies Prices using Geometric Brownian Motion Stochastic Differential Equation: A Case Study of the Bitcoin

In this research work, we developed a predictive model for digital currency prices, involving daily closing price as a function of time. We used the Geometric Brownian motion stochastic differential equation which was solved using inbuild functions in Microsoft Excel. While we used the Bitcoin as our case study, our model was able to predict the daily closing prices of Bitcoin to a reasonable degree of accuracy. We equally observe that the time dependent Geometric Brownian motion stochastic differential equation cannot give digital currency traders and investors a clue on when to trade off their digital assets. Thus, it become very risky using our model to make well informed trading decisions. We therefore, recommend that for minimum risk, trades and investors in digital currencies should consider a combination of other signal tools to take more informed and less risky trading decisions.

Non-disruptive error field measurement in DIII-D low safety factor plasmas and projection to ITER

Abstract Previous experiments in DIII-D (Paz-Soldan et al 2022 Nucl. Fusion 62 126007) introduced a method to identify intrinsic error fields (EFs) in tokamaks with minimal disruption risk by promptly healing driven magnetic islands during the conventional ‘compass scan’. This paper presents recent experimental and numerical advancements in extending this approach to low q 95 plasmas, and projects its applicability to ITER. Non-disruptive EF measurement is achieved at q 95 = 4.5 and 3.9 without any initial EF correction (EFC) by reducing the time between the occurrence of the locked mode (LM) and control action to 10 ms and increasing the density 50%–100%. However, 50% correction of the intrinsic EF is required to achieve island healing at q 95 = 3.2 with 10 ms delay for the control action. Nonlinear two-fluid modeling with the TM1 code reproduces the DIII-D experimental observations, indicating that promptly turning off the 3D coil current reduces both magnetic island width and electromagnetic force, while raising the density increases plasma viscosity, facilitating magnetic island healing. The simulations show that for scenarios with q 95 = 3.2, lowering the control action time to 5 ms will lead to island healing without EFC. TM1 simulations are extended to future ITER scenarios with 5 MA and 7.5 MA plasma currents, predicting the dependence of required density rise on action time and EF amplitude. These simulations indicate that, benefiting from the much longer resistive time, island healing can be successfully achieved in ITER when taking control action 100–500 ms after a LM occurrence.

Are we doing enough to control infection risk in Australian small animal veterinary practice? Findings from a mixed methods study

BackgroundManaging risk effectively within small animal veterinary practice is integral for staff, patient and client safety. Veterinary personnel are exposed to many risks, including bites, scratches, sharps injuries and exposure to zoonotic diseases and multi-resistant organisms. Patients may also be exposed to healthcare-associated infections, including multi-resistant organisms. While veterinary owners/managers have a duty of care under legislated Workplace Health and Safety requirements, all staff have a responsibility to contribute to assessing and minimizing risk. The application of standard and transmission precautions will help with risk minimization. This study aimed to determine how small animal veterinary staff understand and perceive infection prevention and control risk and to provide recommendations to assist with risk mitigation.MethodsA mixed methods design was used. A digital questionnaire was administered to small animal veterinary staff in Australia to identify knowledge, attitudes and practices of risk related behaviors. Follow up focus groups were conducted with small animal practitioners to explore factors supporting and preventing veterinary staff from implementing recommended practices identified in the questionnaire.ResultsSmall animal veterinary staff acknowledged they participated in many high-risk activities, including recapping needles and eating and drinking in patient care areas. Injuries were common, with 77% of staff receiving a bite or scratch, and 22% receiving a sharps injury in the preceding six months. Less than one in five of these incidents was reported. Staff agreed effective infection prevention and control was the responsibility of all staff, but a designated staff member should take responsibility for managing it. The practice owner/manager was integral to supporting and promoting recommended strategies, contributing to a positive workplace culture and improving safety for staff and patients.ConclusionSmall animal veterinary staff have some understanding of how to identify, report, manage and mitigate risk but were limited by their knowledge of infection prevention and control principles.

Maryland Bridges: A Conservative Approach to Aesthetic Tooth Replacement – A Case Report

Restoring missing central incisors in the mandibular jaw is a challenging esthetic challenge in dentistry, especially for younger patients. Maryland bridges are a highly effective treatment option, restoring oral function and aesthetics, and resulting in high patient satisfaction. These bridges have advantages over conventional fixed dental prosthesis, such as minimal removal of the tooth structure, minimal pulpal trauma risk, and reduced time and cost. Provisional restorations are usually not required. Maryland bridges are cemented to the abutment tooth using electrolytic etching to retain the metal framework. The bond is strengthened after etching, and the development of resin cements has enhanced bridge retention. A missing anterior tooth poses an esthetic, functional, and rehabilitative problem, especially for younger patients. Resin bonded bridges are minimally invasive, offering advantages such as minimal removal of the tooth structure, minimal pulpal trauma risk, and reduced time and cost. This case report describes the fabrication technique for a single missing lower anterior tooth, focusing on conservative, economical, and esthetic treatment outcomes.

Signals of Possibly Persistent Gustatory, Olfactory and Auditory Adverse Drug Reactions to Antibiotic Drugs: A Disproportionality Analysis Using the EudraVigilance Database.

In 2018, the European Medicines Agency issued some risk minimisation measures related to unresolved adverse drug reactions (ADRs) reported for fluoroquinolones, including sensory ADRs. Spontaneous reporting databases frequently report unresolved outcomes for gustatory, olfactory and auditory (GOA) ADRs. However, such a high volume of unresolved GOA ADRs could reflect an under-investigated clinical issue or an intrinsic difficulty in the outcome assessment. The objectives of the study were: (1) to investigate whether unresolved outcomes are reported more frequently for GOA ADRs than for other ADRs to systemic antibiotics and (2) to identify possible signals of unresolved GOA ADRs for systemic antibiotics. We used the EudraVigilance database to extract the number of ADRs to systemic antibiotics of the Anatomical Therapeutic Chemical class J01 up to February 2019. We classified ADRs in "non-GOA ADRs" and "GOA ADRs". Adverse drug reactions were categorised in three groups according to the outcome: defined, persistent/permanent (unresolved) and undetermined ADRs. We performed disproportionality analyses with the case/non-case methodology, by calculating the crude reporting odds ratio (ROR) and 95% confidence interval (CI). Cases were all persistent/permanent ADRs, and non-cases were defined and undetermined ADRs. For the first objective, index groups were gustatory or olfactory or auditory ADRs, while reference group included all non-GOA ADRs. For the second objective, we performed a disproportionality analysis by using the sub-set of GOA ADRs. Index and reference groups varied with subgroups of drugs and drug class, so that each drug and drug class was compared with the others. We conducted two sensitivity analyses for each analysis by varying the case definition. We extracted 748,798 ADRs, including 10,770 GOA ADRs. The first analysis showed that GOA ADRs were reported more frequently as unresolved events compared with all other ADRs (ROR: 2.68 95% CI 2.51-2.85; ROR: 5.20 95% CI 4.66-5.81; and ROR: 2.64 (95% CI 2.51-2.79, respectively). Gustatory ADRs were reported more frequently as unresolved for doxycycline (ROR: 1.69, 95% CI 1.18-2.41, p = 0.0038), azithromycin (ROR: 2.07, 95% CI 1.58-2.72, p < 0.0001) and levofloxacin (ROR: 1.59, 95% CI 1.22-2.07, p < 0.001) compared with GOA ADRs of all other antibiotics. Olfactory ADRs were reported more frequently as unresolved for doxycycline (ROR: 2.4, 95% CI 1.26-4.58, p = 0.0078) and levofloxacin (ROR: 1.92, 95% CI 1.28-2.86, p = 0.0014). Auditory ADRs were reported more frequently as unresolved for doxycycline (ROR: 1.52, 95% CI 1.09-2.12, p = 0.013) and clarithromycin (ROR: 1.31, 95% CI 1.09-1.59, p = 0.0049). We tested and used an appropriate expected frequency standard, which allows us to identify possible signals of unresolved GOA ADRs to antibiotic drugs in the EudraVigilance database. This approach could be used to generate signals of persistent or even irreversible events for other drugs or adverse reactions. However, these signals must be confirmed with a thorough clinical assessment.

Effects of a Novel Tripyrasulfone Herbicide on Key Soil Enzyme Activities in Paddy Rice Soil

Weeds significantly impact paddy yields, and herbicides offer a cost-effective, rapid, and efficient solution compared to manual weeding, ensuring agricultural productivity. Tripyrasulfone, a novel 4-hydroxyphenylpyruvate dioxygenase (HPPD) inhibitor developed by Qingdao Kingagroot Chemicals Co., Ltd., has demonstrated high efficacy when applied post-emergence, causing characteristic foliar bleaching in susceptible weed species, distinct from conventional acetolactate synthase, acetyl-CoA carboxylase, and synthetic auxin herbicides. This study investigates the impact of tripyrasulfone on the activity of key soil enzymes (urease (UE), acid phosphatase (ACP), sucrase (SC), catalase (CAT), and dehydrogenase (DHA)) in paddy soils from Jilin Province and Shandong Province. Different doses of tripyrasulfone (0.1, 1.0, and 2.5 mg kg−1) were applied, and the enzymatic activities were measured. Results indicated that tripyrasulfone initially inhibited UE and ACP activities before activating them. On the 20th day after treatment, UE activity had returned to control levels, whereas ACP activity remained significantly higher, showing long-lasting activation. SC and CAT activities were inhibited but gradually recovered to control levels. Furthermore, DHA activity was activated with a sustained effect, remaining significantly higher than the control group even 20 days after treatment. Overall, the impact of tripyrasulfone on soil enzyme activities diminished over time, suggesting that tripyrasulfone posed minimal long-term ecological risk to soil health.

Prodigiosin Demonstrates Promising Antiviral Activity Against Dengue Virus and Zika Virus in In‐silico Study

ABSTRACTDengue (DENV) and Zika virus (ZIKV), transmitted by Aedes mosquitoes, pose significant public health challenges. Effective treatments for these viruses remain elusive, highlighting the urgent need for new efficient antiviral therapies. This study explores prodigiosin, a microbial tripyrrole pigment, as an antiviral agent against both DENV and ZIKV employing advanced analytical approaches which integrate molecular docking, CASTp 3.0 validation and molecular dynamics (MD) simulations providing insights into molecular interactions at an atomic level. Prodigiosin exhibited favourable drug‐likeness properties, meeting Lipinski's rule of five and demonstrating optimal physicochemical and pharmacokinetic characteristics according to Ghose's, Veber's, Egan's and Muegge's filters, essential for oral bioavailability. Absorption, Distribution, Metabolism, Excretion, and Toxicity profiling indicated high intestinal absorption, minimal risk for drug‐drug interactions and a low toxicity profile, with no AMES toxicity, hepatotoxicity, or skin sensitization. Molecular docking revealed prodigiosin's strong binding affinities to NS5 methyltransferases of both DENV (−7.6 kcal/mol) and ZIKV (−7.7 kcal/mol) viruses, suggesting potential disruption of viral replication. Notably, prodigiosin's binding affinities were comparable to ribavirin‐5'‐triphosphate and chloroquine, known inhibitors of DENV and ZIKV, respectively. MD simulations confirmed stable and specific interactions with prodigiosin with low root‐mean‐square deviation values. Additional analyses, including root‐mean‐square fluctuation, radius of gyration and solvent‐accessible surface area, indicated compact and stable complexes. These multi‐parametric in‐silico analytical strategies provide a novel perspective of prodigiosin as an antiviral agent, demonstrating its drug interactions at the molecular level. These promising results suggest that prodigiosin could serve as a broad‐spectrum antiviral agent against both DENV and ZIKV, warranting further experimental validation for therapeutic development against flaviviral infections.

Numerical modeling and analysis of neck injury induced by parachute opening shock.

Neck injuries from parachute opening shock (POS) are a concern in skydiving and military operations. This study employs finite element modeling to simulate POS scenarios and assess cervical spine injury risks. Validated against various conditions, including whiplash, the model replicates head/neck kinematics and soft tissue responses. POS simulations capture body/head motions during parachute deployment, indicating minimal risk of severe neck injuries (Abbreviated Injury Score/AIS ≥ 2) and low risk of soft tissue tears. Vertebral stress analysis during a rougher jump highlights high stress at C5/C6 lamina, indicating fracture risk. Comparative analysis with rear impact scenarios reveals distinct strain patterns, with rear impacts showing higher ligament strain, consistent with higher soft tissue damage risk. Though POS simulations exhibit lower strain values, they emphasize similar neck deformation patterns. The model's capability to accurately simulate head and neck movements during parachute openings provides critical validation for its use in assessing injury risks. The study's findings underline the importance of considering specific loading conditions in injury assessments and contribute to refining safety standards for skydiving and military operations. By highlighting the differences in injury mechanisms between POS and rear impacts, this research offers valuable insights into tailored injury mitigation strategies. The results not only enhance our understanding of neck injury mechanisms but also inform the development of protective gear and safety protocols, ultimately aiding in injury prevention for skydivers and military personnel.

Reducing the harms of cannabis use in youth post-legalization: insights from Ontario youth, parents, and service providers

BackgroundCanada has one of the highest prevalence of cannabis use globally, particularly among young adults aged 20–24 (50%) and youth aged 16–19 (37%). In 2018, Canada legalized recreational cannabis with the aim of protecting youth by restricting their access and raising public awareness of health risks. However, there has been limited qualitative research on the perceptions of harms associated with youth cannabis use since legalization, which is crucial for developing effective harm reduction strategies. This qualitative study examined perceptions of cannabis use among youth from the perspectives of youth, parents, and service providers. We explored how participants described the perceived risks or harms associated with youth cannabis use, as well as how they described their own and others’ approaches to reducing cannabis-related risks and harms.MethodsThis qualitative study used a community-based participatory research approach in partnership with Families for Addiction Recovery (FAR), a national charity founded by parents of youth and young adults with addiction issues. Virtual semi-structured interviews were conducted, and the data were analyzed using thematic analysis.ResultsThe study included 88 participants from three key groups (n = 31 youth, n = 26 parents, n = 31 service providers). Two main themes emerged regarding perceived risks or harms associated with cannabis use: (1) concerns about cannabis-related risks and harms, including addiction, brain development, impact on family, and various adverse effects on areas such as motivation, concentration, finances, employment, education, physical and mental health; and (2) minimization of risks and harms, featuring conflicting messages, normalization, and perceptions of cannabis being less harmful than other substances. Additionally, two themes related to harm reduction approaches were identified: (1) implementation of harm reduction, and (2) challenges in implementing a harm reduction approach. Specific challenges for each participant group were noted, along with structural barriers such as unavailable and inaccessible services, easy access to cannabis, inadequate public education, and insufficient information on lower-risk cannabis use guidelines.ConclusionsYouth cannabis use is a significant public health concern that requires a multi-pronged approach. Developing youth-centered harm reduction strategies that recognize the developmental needs and vulnerabilities of youth, as well as the important role of families, is imperative.

Modeling of the interaction of stressful components agricultural production

There is a completely natural, organic nonlinear relationship between crop production and animal husbandry, which are crucial components of agricultural production in Ukraine. Timely and appropriate management of these subsystems contributes to the stable growth of the country’s agriculture with minimal risk. This approach requires improvements in terms of the digitalization of the economy, particularly in the context of applying computer modeling to the nonlinear processes of interaction between these components. The article develops a modern methodology for computer modeling of an economic management object—a thorough study of a nonlinear dynamic model of the VolterraLotka class, featuring a component that characterizes the increase in livestock profitability due to feed supply. The model takes into account various influencing factors, allowing for the assessment of the efficiency of the interaction between crop production and animal husbandry at different stages of agricultural production. The study examines the behavior of the dynamic model in the vicinity of the leverage point, analyzing the modeled trend dependencies and statistical components: in the vicinity of the equilibrium point, there are oscillatory movements with a certain defined period, and the solutions of the mathematical model, i.e., integral curves, over time reflect the seasonal nature of the interaction between crop production and animal husbandry. The behavior of virtual scenarios—integral curves and phase portraits based on the mathematical model of nonlinear interaction of agricultural production components—wasstudied, showing the location of the equilibrium point, extreme points, and other critical points for the respective curves in a specific coordinate system. A transition to a dimensionless dynamic model and an economic interpretation of its implicit solution were indicated. Additionally, the impact of external economic factors on the stability of the system was analyzed, allowing for better forecasting of potential risks and the preparation of appropriate strategies to minimize them. For the first time, an approximate numerical estimate of the economic risk measure of the evolution of the interaction and interplay of agricultural subsystems over time was carried out in the study of the nonlinear dynamic model of the economic management object. The obtained results can be used to improve management strategies in the agricultural sector, particularly to enhance the stability of production processes and reduce economic risks in the context of market instability and climate change. This research provides new opportunities for effective planning and the implementation of innovations in Ukraine’s agricultural sector.

Tumor Necrosis Alpha (TNF-α) Antagonists Used in Chronic Inflammatory Rheumatic Diseases: Risks and their Minimization Measures.

Tumor necrosis factor alpha (TNF- α) inhibitors are widely employed for the management of chronic inflammatory rheumatism. However, their usage carries significant risks, including site and infusion reactions, serious infections, malignancy, heart failure autoimmune and demyelinating disorders. These risks are comprehensively outlined in risk management plans (RMPs) associated with these molecules. RMP provides information on the safety profile of a medicinal product as well as the measures that will be taken to minimize risks; these are known as risk minimization measures. These measures are divided into routine measures related to elements, such as the summary of product characteristics, labeling, pack size, package leaflet, or legal supply status of the product, while additional measures may include educational programs, including tools for healthcare providers and patients, controlled access or pregnancy prevention programs, among others. Additional measures can consist of one or more interventions that need to be implemented in a sustainable way in a defined target group, while respecting the timing and frequency of any intervention and procedures to reach the target population. An evaluation of the effectiveness of these measures is required to determine whether or not an intervention has been effective. This comprehensive review offers an in-depth exploration of the current treatment, uses, and associated risks of TNF-α inhibitors. Additionally, it provides a detailed account of risk minimization measures and risk management practices while shedding light on their real-world implementation and effectiveness.

Estimating young children’s exposure to food and beverage marketing on mobile devices

BackgroundFood and beverage marketing drives poor diet quality and obesity risk among children. However, it is unknown how much young children are exposed to digital food and beverage marketing on mobile devices like tablets and smartphones. ObjectiveEstimate how frequently young children, who are particularly vulnerable to advertising, view food and beverage marketing while using mobile devices. MethodsSeventy-five 2-11 year-olds and their parents from Massachusetts participated in this cross-sectional study from 2022-2023. Average estimated exposure to food and beverage advertisements and food/beverage brand appearances was calculated for 5 consecutive days using a combination of battery screenshots and average estimates of marketing collected from children’s devices. Generalized estimating equations tested for sociodemographic differences in advertising exposure. ResultsYoung children’s estimated exposure to food and beverage advertisements and brand appearances on mobile devices was highly variable, with many children seeing none on a given day but a substantial minority viewing large amounts. Estimated exposure depended on how much a child used either YouTube or a gaming app; there was no exposure on other apps used by children. Higher parental educational attainment was associated with substantially reduced risk of a child viewing two or more food or beverage advertisements or brand appearances on a given day (aOR=0.26, 95%CI: 0.10, 0.70). ConclusionsCertain children, particularly those from households with lower parental educational attainment, may be at risk for high exposure to digital food and beverage marketing, while other children may have minimal risk. Future research should explore exposure in more diverse samples with valid, feasible measures. SummaryAmong n=75 2-11 year-olds, children’s estimated exposure to digital food/beverage marketing on digital screen devices varied widely. Lower parental education was associated with higher child exposure to food/beverage marketing.

Clinician perspectives on barriers and facilitators to the treatment of adolescent cannabis use: A qualitative study

IntroductionCannabis use among adolescents is prevalent, and clinicians who work with adolescents have unique insights about how to treat cannabis use in this population. MethodsThis qualitative study interviewed 32 clinicians from addiction medicine recovery services (AMRS), the emergency department (ED), mental health (MH), and pediatrics in an integrated healthcare system to understand their perspectives and experiences regarding barriers and facilitators to treating adolescent cannabis use. The analysis was developed using thematic analysis of interviews. ResultsThirty-two clinicians (Mean age = 45.9, SD =7.6; 56.3 % Female; 56.3 % White) were recruited from AMRS (n = 13; 41.9 %), the ED (n = 7; 22.5 %), MH (n = 7; 22.5 %) and pediatrics (n = 5; 16.1 %). Clinicians discussed several key barriers and facilitators of treating adolescent cannabis use. Facilitators include the use of multiple screening tools for adolescent cannabis use (i.e., self-report and toxicology testing) which provide more comprehensive information; patient-centered treatment approaches; and discussing cannabis use in the context of adolescents' mental health. Barriers discussed included adolescents' and parents' minimization of adolescent cannabis use risks. Several factors were discussed as potential facilitators or barriers, depending on context, including the influence of peers, virtual treatment, and parental involvement or lack thereof in treatment. ConclusionsInterviews with clinicians who work with adolescents across settings highlighted factors that serve as barriers and facilitators to treating adolescent cannabis use. These findings have important implications for guiding future research and intervention efforts, including the inclusion of universal screening practices, addressing stigma, reducing adolescents' and parents' minimization of cannabis use-related harms, and improving adolescent and parent engagement in treatment.

Load forecasting based on multi-core learning Support Vector Machine (SVM)

Abstract The development of smart grids requires enhanced data integration, robust risk assessment, and dynamic response optimization. In this paper, a multi-core learning Support Vector Machine (SVM) model is presented to improve the accuracy and efficiency of load and photovoltaic output forecasting. The model leverages kernel function optimization and parallel computing frameworks to handle large-scale data efficiently. Additionally, a comprehensive risk assessment system is developed to quantify risks such as overvoltage, undervoltage, line overload, and load loss in distribution networks. An adaptive genetic algorithm-based risk control model is also proposed, optimized in two stages—day-ahead and intra-day—to achieve minimal comprehensive risk through real-time adjustments in distributed power output and electric vehicle charging strategies. Furthermore, an integrated virtual synchronous control online verification method for source-network-load-storage is introduced, enhancing system response speed and control accuracy. These innovations collectively provide a solid theoretical foundation and technical support for the efficient and safe operation of smart grids, addressing the increasing demands of modern energy systems.