Perceived environmental uncertainty and job involvement: the mediating role of digital technology and organizational trust - a cross-sectional study in primary care facilities in the UK.

BACKGROUND: Digital maturity can help primary care facilities enhance their processes, communication, and adaptability to change, thereby fostering trust and job involvement. This study aimed to examine the causal relationships between perceived environmental uncertainty, digital maturity, organizational trust, and job involvement among managers of primary care facilities in the UK. The researchers applied socio-technical theory to examine the consequences of technology implementation on work practices and utilized contingency theory to ensure long-term stability in primary care facilities. METHODS: The study was conducted in the second quarter of 2023, surveying 200 managers from primary care facilities in the UK. The survey was conducted using a computer-assisted web interview (CAWI) method based on a purchased panel of respondents. Data were analyzed using descriptive statistics and structural equation modeling. RESULTS: The results showed that perceived environmental uncertainty moderately impacts digital maturity. A greater level of perceived environmental uncertainty is related to greater organizational digital maturity, although perceived environmental uncertainty explains only 15.0% of the variance in digital maturity. The analysis also showed that the impact of digital maturity on organizational trust is positive, significant, and strong, while its impact on job involvement is positive and significant but rather moderate. Moreover, digital maturity mediates the relationship between environmental uncertainty and job involvement among managers of primary care facilities. The weakest link in the model is the connection between organizational trust and job involvement. CONCLUSIONS: The analysis showed that digital maturity is key in shaping organizational trust in primary care facilities and job involvement among their managers. As organizations progress in their digital capabilities, they are better positioned to cultivate trust within their structures. The results of this research contribute to the literature on human resource management in the healthcare sector by deepening knowledge about the impact of environmental uncertainty and digital transformation on organizational trust and job involvement. This study provides important policy information for managers who seek tools to mitigate the adverse effects of environmental uncertainty and want to increase job involvement within primary care facilities.

The perceived long-term impact of peer teaching in the skills lab. A descriptive interview study.

Teaching is an essential skill for future doctors. Peer-assisted learning (PAL)-where students take up a teaching role at an early stage of their training-is widely used in medical curricula. No studies have explored the long-term perceived impact of peer teaching. Therefore, we aimed to determine how former peer teachers reflected on PAL and its perceived long-term impact. In this longitudinal descriptive study, we conducted 42 semi-structured interviews with 11 former peer teachers at the University of Antwerp. Five of them were interviewed 6 months after PAL; 6 of them 9 years after PAL. This latter group was also interviewed during PAL in a previous study. We conducted secondary analyses of previously collected interviews, consistently comparing the findings with new data gathered from the current interviews. Using realist thematic analysis, topic summary themes were generated. Former peer teachers reflected on their PAL experience with a lot of satisfaction. Those meanwhile working as residents are still passionate about teaching. Peer teachers experienced a gain in clinical examination- and professional skills in the long-term, facilitating a smoother transition to their internship. Our findings suggest that PAL selects diverse but committed students. The longitudinal data demonstrate how PAL initiates or stimulates different skills in diverse students, including public speaking, teaching, time management, and self-efficacy in specific clinical skills. Regarding the chicken-and-egg question, our study encompasses both longitudinal cases illustrating the pre-existing skill theory and cases demonstrating how achieved competences were induced by PAL. Former peer teachers experienced long-term benefits of PAL, which eased their transition into the internship. PAL has the potential to ignite a lasting passion for teaching, providing diverse and unique learning opportunities not only for the most talented and 'pre-selected' medical students but also for a range of dedicated future clinicians.

Balance Index to Determine the Follow-Up Duration of Oncology Trials.

Several indices were suggested to determine the follow up duration in oncology trials from either maturity or stability perspective, by maximizing time t $$ t $$ such that the index was either greater or less than a pre-defined cutoff value. However, the selection of cutoff value was subjective and usually no commonly agreed cutoff value existed; sometimes one had to resort to simulations. To solve this problem, a new balance index was proposed, which integrated both data stability and data maturity. Its theoretical properties and relationships with other indices were investigated; then its performance was demonstrated through a case study. The highlights of the index are: (1) easy to calculate; (2) free of cutoff value selection; (3) generally consistent with the other indices while sometimes able to shorten the follow-up duration thus more flexible. For the cases where the new balance index cannot be calculated, a modified balance index was also proposed and discussed. For either single arm trial or randomized clinical trial, the two new balance indices can be implemented to widespread situations such as designing a new trial from scratch, or using aggregated trial information to inform the decision-making in the middle of trial conduct.

Application of nondestructive techniques for peach (Prunus persica) quality inspection: A review.

Peaches are highly valued for their rich nutritional content. Traditional fruit quality accessing methods (i.e., manual squeezing the fruit for firmness) are both subjective and destructive, which tend to diminish the integrity of fruit samples, consequently undermining their market value. Compared to traditional detection methods, nondestructive technology offers efficient and noninvasive solutions for rapidly and accurately assessing internal external quality of peaches. This can significantly enhance product classification and quality assurance while reducing the need for extensive human resources and minimizing potential physical damage to peaches. This review provided a comprehensive overview of nondestructive techniques for peach quality evaluation, including visible/near-infrared spectroscopy, machine vision technology, hyperspectral imaging, dielectric and optical properties, fluorescence spectroscopy, electronic nose/tongue, and acoustic vibration methods. It also evaluates the effectiveness of each technique in assessing internal quality, maturity, and disease detection of peaches. The advantages and limitations of each method were also summarized. This study focuses specifically on peaches and encompasses all existing nondestructive testing methods, providing valuable insights and references for future studies in the field of peach quality analysis using nondestructive testing methods.

Comparison of Variants of Uncertain Significance in Three Regions of the Human Glucokinase Protein Using In Vitro and In Silico Analyses.

There is a growing field of research focusing on the bioinformatic analysis of human genetic variation and the associated diseases. To study how well in vitro testing of purified proteins compares to bioinformatic variant prediction, we chose to analyze glucokinase (GCK) missense variations between residues 119-132, 257-262, and 412-427. These regions contained a large number of variants of uncertain significance (VUS) as well as a few pathogenic variants to use for comparison. We compared experimentally produced Vmax values from purified GCK variant proteins to predictive methods such as molecular dynamics simulation, ConSurf, iStable, the evolutionary model of variant effect (EVE), PredictSNP, and calculated binding energy. After determining which variants are pathogenic or benign based on experimental results or previous genetic studies, we found that ConSurf was the best at predicting pathogenicity. Interestingly, one VUS, D262N, showed an increase in activity and thus was difficult to interpret as pathogenic or benign. This study is an attempt to provide a framework for the utility of missense variant predictive programs.

Dynamic Changes of Active Components and Volatile Organic Compounds in Rosa roxburghii Fruit during the Process of Maturity.

Rosa roxburghii (R. roxburghii), native to the southwest provinces of China, is a fruit crop of important economic value in Guizhou Province. However, the changes in fruit quality and flavor during R. roxburghii fruit ripening have remained unknown. Here, this study investigated the changes of seven active components and volatile organic compounds (VOCs) during the ripening of the R. roxburghii fruit at five different ripening stages including 45, 65, 75, 90, and 105 days after anthesis. The results indicated that during the ripening process, the levels of total acid, vitamin C, and soluble sugar significantly increased (p < 0.05), while the levels of total flavonoids, superoxide dismutase (SOD), and soluble tannin significantly decreased (p < 0.05). Additionally, the content of total phenol exhibited a trend of first decreasing significantly and then increasing significantly (p < 0.05). A total of 145 VOCs were detected by HS-SPME-GC-MS at five mature stages, primarily consisting of aldehydes, alcohols, esters, and alkenes. As R. roxburghii matured, both the diversity and total quantity of VOCs in the fruit increased, with a notable rise in the contents of acids, ketones, and alkenes. By calculating the ROAV values of these VOCs, 53 key substances were identified, which included aromas such as fruit, citrus, green, caramel, grass, flower, sweet, soap, wood, and fat notes. The aromas of citrus, caramel, sweet, and wood were predominantly concentrated in the later stages of R. roxburghii fruit ripening. Cluster heatmap analysis revealed distinct distribution patterns of VOCs across five different maturity stages, serving as characteristic chemical fingerprints for each stage. Notably, stages IV and V were primarily characterized by a dominance of alkenes. OPLS-DA analysis categorized the ripening process of R. roxburghii fruit into three segments: the first segment encompassed the initial three stages (I, II, and III), the second segment corresponded to the fourth stage (IV), and the third segment pertained to the fifth stage (V). Following the variable importance in projection (VIP) > 1 criterion, a total of 30 key differential VOCs were identified across the five stages, predominantly comprising ester compounds, which significantly influenced the aroma profiles of R. roxburghii fruit. By integrating the VIP > 1 and ROAV > 1 criteria, 21 differential VOCs were further identified as key contributors to the aroma changes in R. roxburghii fruit during the ripening process. This study provided data on the changes in quality and aroma of R. roxburghii fruit during ripening and laid the foundation for the investigation of the mechanism of compound accumulation during ripening.

[Striking manifestation and unexpected therapeutic course of diabetes mellitus in a 22-year-old male patient]. / Eindrucksvolle Manifestation und unerwarteter Therapieverlauf eines Diabetes mellitus bei einem 22-jährigen Patienten.

The case of a 22-year-old male patient who presented with acute on chronic hyperglycemia in known MODY ("maturity onset diabetes of the young") 12 (ABCC8 gene) after 11 months of treatment cessation is reported. To emphasize the importance of the awareness of this therapeutically important entity of diabetes, the essential facts of this inherited disease are summarized.

Estimation of life history parameters of the Gangetic leaffish, Nandus nandus from southern coastal waters of Bangladesh: Implications for sustainable management.

The Nandus nandus (Hamilton, 1822) is a highly prized food fish that possesses significant nutritional and commercial worth. Bangladesh, India, Pakistan, Malaysia, Myanmar, Thailand and Viet Nam are the countries where it is endemic. The IUCN Bangladesh has classified this species as near endangered due to its current progressive decline. Hence, immediate actions are necessary to efficiently manage the fishery in this country. To address this issue, a comprehensive understanding of its life history parameters is required. This study aimed to examine the growth characteristics, recruitment length, sexual maturity, mortality, exploitation rate, and maximum sustainable production of N. nandus in Bangladesh's southern coastal waters. Samples were taken every month from January through December of 2021. Our study indicates that N. nandus grows in an isometric manner. The estimated asymptomatic length of this species is 18.0 cm in total length (TL), growing at a rate of 1.30 year-1. The growth performance index of this species was determined to be 2.62, and the projected lifespan was calculated to be 2.31 years. The initial length at recruitment was measured to be 9.5 cm TL, whie the size at first sexual maturity was recorded to be 9.4 cm TL. With the contributions of the natural mortality rate (2.26 year-1) and the fishing mortality rate (1.86 year-1) the total mortality rate was found to be 4.12 year-1. The exploitation rate, determined to be 0.45, surpasses the upper limit of sustainable yield criteria set at 0.37. Therefore, it is imperative to implement strategies to avoid excessive fishing and guarantee the long-term control of N. nandus populations.

Feasibility of a 12 weeks supervised exercise training intervention among people with Maturity Onset Diabetes of the Young (MODY) or type 2 diabetes in Greenland.

Preventing and managing Type 2 diabetes (T2D) involves adopting healthy lifestyle habits such as balanced nutrition and regular exercise. Maturity Onset Diabetes of The Young (MODY) shares diagnostic characteristics with T2D, but exercise responses in MODY remain unclear. In Greenland, MODY is 4-5 times more common than in other countries. No established exercise regimen exists for either T2D or MODY in Greenland. This study assessed the feasibility of a 12-week supervised exercise programme for MODY and T2D in Greenland, focusing on attendance, satisfaction, and effects on cardiovascular disease (CVD) risk factors and quality of life (QoL). Conducted as an experimental, two-armed, controlled trial, nine participants (4 with MODY) engaged in prescribed training sessions twice weekly for 45-60 minutes, while another nine (4 with MODY) formed the control group. Key outcomes included adherence rates, satisfaction levels, changes in HbA1c, body composition, aerobic fitness, blood pressure, CVD risk factors, and SF-12 scores. Although training adherence was modest at 56%, participant satisfaction remained high. Notable findings included a slight decrease of -0.3 mmol/l in HDL-cholesterol and a 5.7-point increase in the mental component (MCS) of SF-12 within the intervention group. However, the study underscores the need to refine the study design before supervised exercise programmes can be widely implemented in clinical settings in Greenland.

Metabolomic and Transcriptomic Analyses Reveal the Potential Mechanisms of Dynamic Ovarian Development in Goats during Sexual Maturation.

The ovary is a crucial reproductive organ in mammals, and its development directly influences an individual's sexual maturity and reproductive capacity. To comprehensively describe ovarian sexual maturation in goats, we integrated phenotypic, hormonal, metabolomic, and transcriptomic data from four specific time points: after birth (D1), at 2 months old (M2), at 4 months old (M4), and at 6 month old (M6). The study showed that during the early stage (D1-M2), ovarian growth was the most rapid, with weight and morphology increasing by 284% and 65%, respectively, and hormone levels rose significantly, with estradiol increasing by 57%. Metabolomic analysis identified 1231 metabolites, primarily lipids, lipid molecules, and organic acids, which can support hormone balance and follicle development by providing energy and participating in signaling transduction. Transcriptomic analysis identified 543 stage-specific differentially expressed genes, mainly enriched in steroid biosynthesis, amino acid metabolism, and the PI3K/AKT pathway, which are key factors influencing ovarian cell proliferation, apoptosis, hormone secretion, and metabolism. The integrated analysis revealed the key processes in the ovarian steroid hormone biosynthesis pathway and gene/metabolite networks associated with ovarian phenotypes and hormone levels, ultimately highlighting scavenger receptor class B type 1 (SCARB1), Cytochrome P450 Family 1 Subfamily A Member 1 (CYP11A1), 3beta-hydroxysteroid dehydrogenase (3BHSD), progesterone, estradiol, and L-phenylalanine as key regulators of ovarian morphological and functional changes at different developmental stages. This study is the first to reveal the metabolic changes and molecular regulatory mechanisms during ovarian sexual maturation in goats, providing valuable insights for understanding reproductive system development and optimizing reproductive performance and breeding efficiency.

Improvements in Clinical Cancer Care Associated with Integration of Personalized Medicine.

BACKGROUND: While adoption of personalized medicine (PM) continues to increase in clinical oncology, there is limited data connecting the level of PM adoption at a given institution to improved clinical outcomes for patients. The purpose of this study was to analyze the correlation between health care providers' scores on a previously described PM integration framework and two outcome measures: the use of targeted therapy and clinical trial enrollment. METHODS: This study was conducted using real-world data (RWD) from the Syapse® Learning Health Network (LHN). The PM integration score for six community hospital systems in the LHN was calculated and subsequently correlated with the two outcome measures. RESULTS: Across six institutions, a strong correlation between PM integration score and targeted therapy use was observed in metastatic non-small cell lung cancer (mNSCLC) (R2 = 0.81), an indication with a significant number of approved targeted agents. Conversely, a strong correlation between PM integration score and clinical trial enrollment was observed in metastatic triple-negative breast cancer (TNBC) (R2 = 0.63), an indication with fewer marketed targeted therapies but an active targeted therapy pipeline. CONCLUSION: The results in these cases suggest that PM integration is a strong indicator of high-quality care practices for both utilization of targeted therapy in more mature PM indications (e.g., mNSCLC) and clinical trial enrollment in more emerging PM indications (e.g., TNBC).

Toward a roadmap for sustainable lean adoption in hospitals: a Delphi study.

BACKGROUND: The benefits of lean adoption in healthcare include improved process efficiency and quality of patient care. However, research indicates that lean implementation in healthcare, and specifically hospitals, is often not sustained. Furthermore, there is a need for maturity models that guide lean implementation, specifically in hospitals. This study develops a prescriptive maturity model named the Sustaining of Lean Adoption in Hospitals Roadmap (SOLAR) that acts as a practical guideline for the sustainable adoption of lean in hospitals. METHODS: The SOLAR has three theoretical foundations, namely lean implementation success factors in hospitals, implementation science, and change management theory. A systematic literature review was conducted to determine the lean implementation success factors in hospitals as the first building block. Secondly, practices from implementation science were used to create the action items in the SOLAR. Ten change steps were elicited from change management theory as the third theoretical building block of the roadmap. We refined the roadmap through three Delphi rounds that verified its useability in hospitals. RESULTS: The final SOLAR consists of four maturity phases (prepare, plan, experiment and learn, and sustain) and includes action items for each phase related to the hospital's strategy, resources, engaging of people, and culture. The action items and change management steps shown in the SOLAR are not intended as an exhaustive list but provide guidelines on aspects hospitals must consider when they aim to adopt lean sustainably. CONCLUSIONS: The strong theoretical base of the SOLAR enables hospitals to safely experiment and learn which implementation methods are best suited to their unique environment. The SOLAR is, therefore, an actionable guideline that informs both academics and practitioners involved in lean adoption in hospitals. This roadmap can guide future retrospective longitudinal or action research.

Varietal influence on bioactive compounds and antioxidant activity in chilies during development stages.

Numerous cultivars of chili are grown in Bangladesh for their nutritional and sensory attributes, serving as both spices and food items. Among many, indigenous chili cultivars in Bangladesh include Sada Akshi, Kajini, Dhani, and Naga are the important ones. The functional qualities of chili peppers are attributed to the plentiful presence of bioactive substances. Consequently, this study aimed to determine the variations in bioactive compounds, antioxidant activities, and hotness among the pre-mature, mature, pre-ripening, and ripening stages of four distinct chili cultivars. Four different cultivars of chilis at four different maturity stages were collected and analyzed for their antioxidant and bioactive profiles. The findings of the research revealed that all chili varieties exhibited a notable range of vitamin C concentration, ranging from 1.67 to 8.45 mg/g FW during the maturity stages. The values of TPC, TFC, total carotenoids, and chlorophyll a and b ranged from 16.68 to 46.76 mg GAE/g, 2.80-8.53 mg QE/g, 4.31-85.79 µg/g DW, 2.83-15.54 and 0.74-5.66 µg/g DW on a dry weight basis, respectively. The antioxidant activity was assessed using the FRAP and the DPPH scavenging assay and the values ranged from 142.62 to 311.03 mM Fe (II) Equivalent/100g DW and 216.36-329.52 µM Trolox Equivalent/g DW, respectively. The content of vitamin C, TPC, total carotenoids, and chlorophyll b was increased with the stages of development. The hotness of chili also increased with the development stages. However, the antioxidant activity fluctuated during the development stages of chili. Furthermore, the study incorporated the evaluation of physical parameters, such as height, weight, and color attributes concerning chilies. The Naga variety of chili demonstrated the highest level of efficacy when compared to other varieties. The nutritional and physicochemical information of the different cultivars of chili in this study might be useful to the breeders, spice processors, and consumers for desired size, taste, and hotness with health-promoting bioactive compounds, eventually for determining the harvest time.

Strengthening rural healthcare outcomes through digital health: qualitative multi-site case study.

BACKGROUND: Rural populations experience ongoing health inequities with disproportionately high morbidity and mortality rates, but digital health in rural settings is poorly studied. Our research question was: How does digital health influence healthcare outcomes in rural settings? The objective was to identify how digital health capability enables the delivery of outcomes in rural settings according to the quadruple aims of healthcare: population health, patient experience, healthcare costs and provider experience. METHODS: A multi-site qualitative case study was conducted with interviews and focus groups performed with healthcare staff (n = 93) employed in rural healthcare systems (n = 10) in the state of Queensland, Australia. An evidence-based digital health capability framework and the quadruple aims of healthcare served as classification frameworks for deductive analysis. Theoretical analysis identified the interrelationships among the capability dimensions, and relationships between the capability dimensions and healthcare outcomes. RESULTS: Seven highly interrelated digital health capability dimensions were identified from the interviews: governance and management; information technology capability; people, skills, and behaviours; interoperability; strategy; data analytics; consumer centred care. Outcomes were directly influenced by all dimensions except strategy. The interrelationship analysis demonstrated the influence of strategy on all digital health capability dimensions apart from data analytics, where the outcomes of data analytics shaped ongoing strategic efforts. CONCLUSIONS: The study indicates the need to coordinate improvement efforts targeted across the dimensions of digital capability, optimise data analytics in rural settings to further support strategic decision making, and consider how consumer-centred care could influence digital health capability in rural healthcare services. Digital transformation in rural healthcare settings is likely to contribute to the achievement of the quadruple aims of healthcare if transformation efforts are supported by a clear, resourced digital strategy that is fit-for-purpose to the nuances of rural healthcare delivery.

Developments and opportunities in minimal processing and production of tender jackfruit flour.

Tender jackfruit is quite popular for culinary preparations. Technologies and value-added products of matured and ripened jackfruit are in the commercial domain, but there is a high demand to work on the processing and value addition of tender jackfruit. Especially, interventions are required for the mechanization of different post-harvest operations and to develop process protocols. Minimal processing of tender jackfruit has immense commercial potential as it can make handling easy and reduce transportation costs. Controlling the browning of cut tender jackfruit is a challenge and requires research interventions to develop a safe process protocol minimizing or avoiding the use of chemicals. Tender jackfruit powder, also called flour, is a novel product being invented to explore its possible applications in different food products. However, scientific interventions are required to develop a process protocol for tender jackfruit powder production along with the development of machines for operations like shredding and grinding. Conventional grinding operations lead to nutritional loss of jackfruit powder; hence, there is a great opportunity to develop a low-temperature grinding system for the production of quality powder. The available literature, particularly on tender jackfruit processing, has been summarized in the present paper with its critical analysis and future prospects.

Maturation-induced changes in phenolic forms and their antioxidant activities of walnuts: A dual view from kernel and pellicle.

The phenolic profiles and antioxidant activities during walnut maturation are not well understood. This study used UPLC-MS/MS to evaluate phenolic content in walnuts, including free, esterified, and bound forms, at different maturation stages. Findings showed that free phenolics were predominant, comprising 44.57 % in kernels and 56.54 % in pellicles. In vitro assays showed antioxidant capacity decreased with maturation, with IC50 values of 0.87-84.43 µg/mL in pellicles and 48.51-712.30 µg/mL in kernels. Most monomeric phenols decreased in concentration as the fruit ripened. OPLS-DA identified 5 and 8 maturity-sensitive phenolics (MSPs) in kernels and pellicles, respectively, with fold changes from 2.32 to 1664.72. Pearson correlation analysis showed a significant correlation between MSPs and antioxidant activity (r > 0.75, p < 0.05). Bioinformatics analysis elucidated three key metabolic pathways involved in these changes. This research provides insights into walnut phenolic composition, important for optimizing harvest practices and enhancing nutritional value.

Non-destructive estimation of flesh oil content in avocado (Persea americana Mill.) using fluorescence images from 365-nm UV light excitation.

The flesh oil content (OC) is a crucial commercial indicator of avocado maturity and directly correlates with its nutritional quality. To meet export standards and optimize edible characteristics, avocados must be harvested at the appropriate stage of physiological maturity. The significant variability in OC during maturation, without any external morphological indicators, poses a longstanding challenge. Currently, harvesting maturity is optimized through time-consuming, destructive laboratory methods like freeze-drying and chemical extraction, which use representative samples to estimate the maturity of entire orchards. In this study, for the first time, we employed fluorescence imaging of avocado skin using 365-nm UV polarized light excitation to estimate the OC in the 'Bacon' avocado cultivar. We developed a surface fluorescence index that strongly correlates with OC, achieving correlation coefficients up to - 0.91. Our non-destructive and rapid approach achieved a cross-validation accuracy with an R2 value of 0.81, enabling the classification of avocados with low and high OC. This pioneering method shows considerable potential for further improvement and refinement. This study lays the groundwork for developing a portable, cost-effective, and real-time method for non-destructive in situ monitoring of avocado OC in the field and its integration into large-scale post-harvest grading systems.

Determining the Optimal Harvesting Moment of Green Forage from Guizotia abyssinica Cultivated as a Catch Crop on Silage and Its Quality Form, Fresh or Wilted Green Material, in the Two Following Years.

Guizotia abyssinica is currently being used for soil improvement; however, owing to its rapid growth and high productivity, it may have value as feed for ruminants, although this has not been well studied. Thus, this research aimed to evaluate the silage quality of Guizotia abyssinica grown during the short season (July-October) as a catch crop in northern Europe when harvested 58, 68, and 90 days after sowing (DAS) over two production years. Ensiled material was analyzed to compare silage quality for the three different DAS. Two factors were analyzed factorially in the experiment: the silage preparation year (2018 or 2019) and the form of the ensiled material (fresh or wilted). We used 36 replications, 18 for each variant of the experimental factor. Harvesting at 58 DAS resulted in unsatisfactory forage fermentability, even after wilting. At 68 DAS, silage quality was satisfactory, but the dry matter content before ensiling was below 20% for both fresh and wilted forage, indicating limitations for silage use without additional wilting for that DAS harvest time. Dry matter content and water-soluble carbohydrates consistently increased as harvest was delayed. Thus, the highest silage quality was obtained from forage harvested 90 DAS regardless of differences in dry matter content. Therefore, it is possible to prepare silage at lower temperatures when the wilting process is limited by environmental conditions.

Reproductive Dynamics of Spot Tail Mantis Shrimp (Squilla mantis): Insights from the Central Mediterranean Sea.

Fisheries management requires improvement in scientific knowledge to ensure sustainable exploitation of important commercial species and population renewal. Within this context, this study focused on the reproductive biology of spot tail mantis shrimp, Squilla mantis, in the Central Mediterranean Sea, aiming to understand the reproductive pattern of this species and validate the macroscopic maturity scale through histological analysis. A multi-year sampling was performed from 2016 to 2020 by a commercial fishing fleet in the Northern Central Adriatic Sea (GSA 17), and a total of 2206 individuals were collected. The monthly average value of the total sex ratio of S. mantis was 0.524 ± 0.044 (mean ± SEM) in favor of females, which dominated the population from September to April. The proposed 5 stage macroscopic maturity scale was validated histologically through histological analysis, confirming synchronous ovarian development. The somatic indexes (GSI and K Fulton) and monthly incidence of macroscopic ovarian maturity stages highlighted a protracted reproductive season from winter to spring (January-May). Although the length-weight relationship showed a similar growth trend between genders, males reached a bigger size in terms of carapace length (C.L.) and dominated the population from 32 mm (C.L.). The macroscopic L50 estimated was 25.94 mm (C.L.).

A Method for Sorting High-Quality Fresh Sichuan Pepper Based on a Multi-Domain Multi-Scale Feature Fusion Algorithm.

Post-harvest selection of high-quality Sichuan pepper is a critical step in the production process. To achieve this, a visual system needs to analyze Sichuan pepper with varying postures and maturity levels. To quickly and accurately sort high-quality fresh Sichuan pepper, this study proposes a multi-scale frequency domain feature fusion module (MSF3M) and a multi-scale dual-domain feature fusion module (MS-DFFM) to construct a multi-scale, multi-domain fusion algorithm for feature fusion of Sichuan pepper images. The MultiDomain YOLOv8 Model network is then built to segment and classify the target Sichuan pepper, distinguishing the maturity level of individual Sichuan peppercorns. A selection method based on the average local pixel value difference is proposed for sorting high-quality fresh Sichuan pepper. Experimental results show that the MultiDomain YOLOv8-seg achieves an mAP50 of 88.8% for the segmentation of fresh Sichuan pepper, with a model size of only 5.84 MB. The MultiDomain YOLOv8-cls excels in Sichuan pepper maturity classification, with an accuracy of 98.34%. Compared to the YOLOv8 baseline model, the MultiDomain YOLOv8 model offers higher accuracy and a more lightweight structure, making it highly effective in reducing misjudgments and enhancing post-harvest processing efficiency in agricultural applications, ultimately increasing producer profits.