Production Potential Research Articles

Optimization of germinated cowpea flour ratios and extrusion conditions on the nutritional composition and sensory quality of Ethiopian emmer wheat-based extruded porridge

Childhood malnutrition is a major problem in developing countries, particularly in Ethiopia. This study aimed to create nutritious emmer wheat and cowpea extruded porridge with optimal macronutrient levels and sensory quality. Utilizing Design-Expert software, the effects of cowpea blending ratios (10–25 %), barrel temperatures (80–120 °C), and feed moisture content (22–26 %) were analyzed using a three-factor, three-level Box-Behnken design. Significant impacts on nutritional characteristics were observed, leading to the identification of optimal extrusion conditions (cowpea blend: 20.17 %, moisture content: 25.91 %, barrel temperature: 117.20 °C). Blending emmer wheat with cowpea flour significantly enhanced the porridge's color, taste, and aroma. The highest color intensity (4.36 %) was at 10 % cowpea and 22 % moisture processed at 100 °C. The best taste (4.41 %) was with 25 % cowpea and 22 % moisture at 100 °C, while the highest aroma was in blends with 10 % and 25 % cowpea at 100 °C. The control had the best mouthfeel (4.36 %), but a blend with 25 % cowpea, 24 % moisture, and 80 °C barrel temperature had the highest overall acceptability (4.31 %). The study highlighted the potential of these protein-rich porridge products to address protein-energy malnutrition, particularly in Ethiopia, by introducing awareness about the unique nutritional composition of Ethiopian emmer wheat and underutilized cowpea, thus creating a new market for nutritious food options.

Branding of wood-plastic composites under generic name “Biobased-Plastic” or specifically as “Wood-Plastic Composite”? A consumer study under compolytics approach

Wood-Plastic Composite (WPC) is a biobased material with high substitution potential for plastic-intensive products. Branding innovative WPC products is a challenge as WPC can hardly be distinguished visually from pure plastic and consumers can only judge the sustainability potential by the name. What they actually associate with “biobased” regarding WPCs and on which personal characteristics this depends were investigated by a survey with Likert-scale questions simulating choice decisions. For four test objects, it was measured how German consumers react to five key product attributes when the composite contained therein is generically branded as “Biobased-Plastic” (Sample 1: n = 205) or specifically as “Wood-Plastic Composite” (Sample 2: n = 155). Differences from the branding were clarified using ANOVA statistics, effects from personal characteristics were quantified by correlation tests and a factor analysis determined which object/attribute-combination triggered consumers most. Only when consumers were skeptical about plastic, they felt sufficiently informed about the specific term “Wood-Plastic,” which resulted in similarly high agreement levels as under the generic term. When branding under the specific term, agreements to the attribute “eco” were higher, whereas under generic brand this was the case for attribute “health” and there the associations were dependent on more psychographic characteristics. It was also found that consumers disposed of WPC products and packaging more correctly under the specific term “Wood-Plastic” than under the generic one, the latter tending to encourage composting. Specific branding with “Wood-Plastic Composite” is advisable for differentiated shopping goods that are marketed using informative advertising for segmented consumer groups. A standardised strategy for mass-produced goods made of WPC is possible under the “Biobased-Plastic” brand, but this must then also provide information on the correct disposal of WPC.

Mitochondrial DNA mutations attenuate Bleomycin-induced dermal fibrosis by inhibiting differentiation into myofibroblasts

Post-mitotic, non-proliferative dermal fibroblasts have crucial functions in maintenance and restoration of tissue homeostasis. They are involved in essential processes such as wound healing, pigmentation and hair growth, but also tumor development and aging-associated diseases. These processes are energetically highly demanding and error prone when mitochondrial damage occurs. However, mitochondrial function in fibroblasts and the influence of mitochondrial dysfunction on fibroblast-specific demands are still unclear. To address these questions, we created a mouse model in which accelerated cell-specific mitochondrial DNA (mtDNA) damage accumulates. We crossed mice carrying a dominant-negative mutant of the mitochondrial replicative helicase Twinkle (RosaSTOP system) with mice that express fibroblast-specific Cre Recombinase (Collagen1A2 CreERT) which can be activated by Tamoxifen (TwinkleFIBRO). Thus, we are able to induce mtDNA deletions and duplications in specific cells, a process which resembles the physiological aging process in humans, where this damage accumulates in all tissues. Upon proliferation in vitro, Tamoxifen induced Twinkle fibroblasts deplete most of their mitochondrial DNA which, although not disturbing the stoichiometry of the respiratory chain complexes, leads to reduced ROS production and mitochondrial membrane potential as well as an anti-inflammatory and anti-fibrotic profile of the cells. In Sodium Azide treated wildtype fibroblasts, without a functioning respiratory chain, we observe the opposite, a rather pro-inflammatory and pro-fibrotic signature. Upon accumulation of mitochondrial DNA mutations in vivo the TwinkleFIBRO mice are protected from fibrosis development induced by intradermal Bleomycin injections. This is due to dampened differentiation of the dermal fibroblasts into α−smooth-muscle-actin positive myofibroblasts in TwinkleFIBRO mice. We thus provide evidence for striking differences of the impact that mtDNA mutations have in contrast to blunted mitochondrial function in dermal fibroblasts and skin homeostasis. These data contribute to improved understanding of mitochondrial function and dysfunction in skin and provide mechanistic insight into potential targets to treat skin fibrosis in the future.

Prospects of graphene quantum dots preparation using lignocellulosic wastes for application in photofermentative hydrogen production

Graphene quantum dots (GQDs) are a novel carbon nanomaterial from the graphene family due to their unique physicochemical properties and diverse range of applications. However, in terms of the sustainable utility of GQDs, their synthesis methods are the main roadblock because of their high production costs and the release of toxic byproducts during the production processes. Thus, the search for sustainable and economical fabrication methods for preparing GQDs is one of the most essential areas of research for their practical applications. In this context, lignocellulosic biomass (LCB) wastes are a prime choice for the fabrication of GQDs due to their high carbon and cellulose content, which are favorable for being employed as precursors and reducing agents Additionally, LCBs are a prime source of potential bioenergy production, which is currently a key research hotspot to combat environmental pollution, global warming, and energy crises. Therefore, the present review provides feasibility for sustainable and environmentally friendly fabrication of GQDs using LCB wastes for their possible utility in cellulosic biofuel production technology improvement. Furthermore, the prospective of using these GQDs as catalysts in bioenergy production for the development of low-cost biomass-based biofuel production technology has been discussed along with the existing limitations and their sustainable recommendation.

Optimization of Enzymatic Assisted Extraction of Bioactive Compounds from Olea europaea Leaves

Nowadays, the circular economy trend drives researchers in the recovery of various bioactive compounds from agri-food by-products. Enzyme-assisted extraction (EAE) has been shown to be an innovative green technology for the effective extraction of various phytochemicals from agri-food section by-products; therefore, this study aimed to evaluate the application of EAE as green technology to obtain extracts from olive leaves (Olea europaea) for potential industrial production. The used enzymes were Celluclast, Pectinex XXL and Viscozyme L. EAE was conducted under various enzyme dose combinations and an incubation time of 120 min. Obtained extracts were characterized in terms of total polyphenols (TP) and total antioxidant activity (AA). Firstly, the enzyme synergistic effect in the enzymatic extraction of polyphenols was evaluated. TP optimal extraction conditions (468.19 mg GAE (gallic acid equivalent)/L of extract) were achieved after EAE using Pectinex and Viscozyme enzymes (50–50 v/v) and for AA (69.85 AA%). According to the above results, a second experiment investigated the effect of incubation time (min.) and enzyme dose (mL) on the optimal extraction conditions of olive leaves. The final results after optimization were 75% higher than the control sample for the TP content (605.55 mg GAE/L) and 8% higher for the AA (70.14 AA%). These results indicated that EAE is an excellent choice for the green extraction of polyphenols from the olive leaves.

Protective effect of Cyclo(His-Pro) on peritoneal fibrosis through regulation of HDAC3 expression.

Peritoneal dialysis is a common treatment for end-stage renal disease, but complications often force its discontinuation. Preventive treatments for peritoneal inflammation and fibrosis are currently lacking. Cyclo(His-Pro) (CHP), a naturally occurring cyclic dipeptide, has demonstrated protective effects in various fibrotic diseases, yet its potential role in peritoneal fibrosis (PF) remains uncertain. In a mouse model of induced PF, CHP was administered, and quantitative proteomic analysis using liquid chromatography-tandem mass spectrometry was employed to identify PF-related protein signaling pathways. The results were further validated using human primary cultured mesothelial cells. This analysis revealed the involvement of histone deacetylase 3 (HDAC3) in the PF signaling pathway. CHP administration effectively mitigated PF in both peritoneal tissue and human primary cultured mesothelial cells, concurrently regulating fibrosis-related markers and HDAC3 expression. Moreover, CHP enhanced the expression of nuclear factor erythroid 2-related factor 2 (Nrf2) while suppressing forkhead box protein M1 (FOXM1), known to inhibit Nrf2 transcription through its interaction with HDAC3. CHP also displayed an impact on spleen myeloid-derived suppressor cells, suggesting an immunomodulatory effect. Notably, CHP improved mitochondrial function in peritoneal tissue, resulting in increased mitochondrial membrane potential and adenosine triphosphate production. This study suggests that CHP can significantly prevent PF in peritoneal dialysis patients by modulating HDAC3 expression and associated signaling pathways, reducing fibrosis and inflammation markers, and improving mitochondrial function.

Improvement of glucolipid metabolism and oxidative stress via modulating PI3K/Akt pathway in insulin resistance HepG2 cells by chickpea flavonoids

Chickpea (Cicer arietinum L.) is a significant dietary source of flavonoids and the hypoglycemic activity were investigated in this study. Firstly, total twenty nine chickpea flavonoids were identified by UPLC-MS/MS with ononin, cyanidin-3-O-glucoside, astragalin, cynaroside, kaempferol-3-O-rutinoside, biochanin A, and daidzin being the most abundant among them. Our results demonstrated that chickpea flavonoids regulated glucose metabolism and lipid metabolism, and reduced oxidative stress in insulin resistance HepG2 cells. Furthermore, insulin resistance was ameliorated by chickpea flavonoids through the activation of insulin receptor substrate1 (IRS1), phosphoinositide 3-kinase (PI3K), and phosphorylated protein kinase B (Akt) in HepG2 cells. More importantly, key differential metabolites include L-tryptophan, L-tyrosine, l-glutamine and linoleic acid were reserved by chickpea flavonoids and correlated with glucolipid metabolism and oxidative stress in IR-HepG2 cells. In conclusion, these results indicated that chickpea flavonoids might act as potential natural products regulating insulin resistance in HepG2 cells.

Celastrol alleviates atopic dermatitis by regulating Ezrin-mediated mitochondrial fission and fusion.

Celastrol, a bioactive molecule extracted from the plant Tripterygium wilfordii Hook F., possesses anti-inflammatory, anti-obesity and anti-tumour properties. Despite its efficacy in improving erythema and scaling in psoriatic mice, the specific therapeutic mechanism of celastrol in atopic dermatitis (AD) remains unknown. This study aims to examine the role and mechanism of celastrol in AD using TNF-α-stimulated HaCaT cells and DNCB-induced Balb/c mice as invitro and invivo AD models, respectively. Celastrol was found to inhibit the increased epidermal thickness, reduce spleen and lymph node weights, attenuate inflammatory cell infiltration and mast cell degranulation and decrease thymic stromal lymphopoietin (TSLP) as well as various inflammatory factors (IL-4, IL-13, TNF-α, IL-5, IL-31, IL-33, IgE, TSLP, IL-17, IL-23, IL-1β, CCL11 and CCL17) in AD mice. Additionally, celastrol inhibited Ezrin phosphorylation at Thr567, restored mitochondrial network structure, promoted translocation of Drp1 to the cytoplasm and reduced TNF-α-induced cellular reactive oxygen species (ROS), mitochondrial ROS (mtROS) and mitochondrial membrane potential (MMP) production. Interestingly, Mdivi-1 (a mitochondrial fission inhibitor) and Ezrin-specific siRNAs lowered inflammatory factor levels and restored mitochondrial reticular formation, as well as ROS, mtROS and MMP production. Co-immunoprecipitation revealed that Ezrin interacted with Drp1. Knocking down Ezrin reduced mitochondrial fission protein Drp1 phosphorylation and Fis1 expression while increasing the expression of fusion proteins Mfn1 and Mfn2. The regulation of mitochondrial fission and fusion by Ezrin was confirmed. Overall, celastrol may alleviate AD by regulating Ezrin-mediated mitochondrial fission and fusion, which may become a novel therapeutic reagent for alleviating AD.

Strengthening the energy efficiency ratio of warm deep gas-assisted hydrate production through optimizing water circulation

Utilizing the geothermal energy from the deep gas layer to enhance the hydrate decomposition is a potential clean production approach, avoiding the vast costs and severe pollution in the traditional heat injection scheme. In this work, a novel method was proposed to promote hydrate decomposition by employing circulating water to transport heat from the deep gas layer. Results showed that increasing the water flow rate from 9.82 mL/min to 39.28 mL/min could significantly improve the production efficiency by 27.27 %. Yet, the energy efficiency ratio (EER) slightly decreased by 3.31 % due to the increased power consumption of the water pump. A hybrid water flow rate was thus used with a lower rate in the later production stage when the heat absorption of hydrate decomposition was declining accordingly. This was found to successively improve the EER by 2.68 % while maintaining comparable production efficiency; a further cycling regulation (intermittent circulating) of the hybrid water flow rate could significantly enhance the EER by 16.23 %. The results could guide the efficient utilization of natural geothermal energy to facilitate the large-scale gas production from the natural gas hydrates when heat supply from the surrounding sediments was limited.

Deep learning aided computer vision system for automated linear type trait evaluation in dairy cows

The assessment of traits is important in determining production potential, reproductive performance, and overall health of dairy cows. The assessment of these traits typically involves visual inspection and manual measurement, which can be time-consuming, subject to bias, and potentially distressing for the animals. To address these challenges, convolutional neural networks (CNNs)-aided non-invasive computer vision system was developed. This system consists of a depth camera to acquire the RGB images and depth information of cows. The DeepLabV3+ model, having the ResNet50 model as a backbone, was utilized to segment the body parts of cows from RGB images. Image processing-based algorithms were developed to extract key pixel locations for each trait from these segmented images. The system estimated trait dimensions utilizing 3D data of respective key points. The mean-IoU (intersection-over-union) values for the developed segmentation models were 93.46%, 91.25%, and 99.27% for side-view, back-view traits, and stature, respectively. Additionally, the vision system was able to estimate the trait dimensions with mean absolute percentage error (MAPE) below 6.0%. For a few traits, MAPE, however, exceeded 10.0%, indicating higher error. Inaccurate segmentation, imprecise key point extraction, visual overlaps of specific body parts, and variations in cow postures contribute to such errors. The developed system attained a Ratio of Performance Deviation (RPD) above 1.2 for all traits, indicating its ability to estimate the dimensions of traits efficaciously. Thus, the present study demonstrated the potential of a CNN-based computer vision-based system for automating the trait measurement process in cows.

How photosynthetic performance impacts agricultural productivity in hybrid cotton offspring

Currently, heterosis is an effective method for achieving high crop quality and yield worldwide. Owing to the challenges of breeding and the high cost of the F1 generation, the F2 generation is considered the more desirable hybrid offspring for agricultural production. The use of OJIP fluorescence provides rapid insights into various photosynthetic mechanisms. However, OJIP fluorescence has not been previously studied as an indicator of the rate of heterosis. Consequently, we investigated the relationship between photosynthetic characteristics and growth and developmental parameters in hybrid cotton cultivars. The findings showed a gradual decline in the photosynthetic performance of hybrid cotton as the number of generations increased. In comparison to the F3 generation, both the F1 and F2 generations showed minimal variations in parameters, thus maintaining hybrid dominant and emphasizing the agricultural production potential of the F2 generation. The JIP-test revealed significant differences in the relationship between ψEo and ϕEo parameters, as well as variations in the connections between the photo-response center and electron transfer efficiency, and between cotton yield and fiber quality in the hybrid progeny. These variations can serve as indicators for predicting the extent of hybrid dominance in cotton. The results indicated significant differences in the light and dark responses of the hybrid offspring. By using parents with similar photosynthetic performance as genetic resources for crossbreeding, the photosynthetic capacity of the hybrid progeny can be enhanced to facilitate the efficient absorption and conversion of light energy in crops.

Determination of nutritional value and methane production potential of styrax tree (Styrax officinalis L.) leaves

This study aimed to determine the effect of nutritional values of the “styrax tree” (Styrax officinalis L.) on in vitro gas production, organic matter digestibility (OMD), and metabolic energy (ME) content. In this study, styrax leaf samples were collected for analysis in three different periods: May, July and September. According to the analysis results, crude ash (CA), dry matter (DM), crude fat (CF), acid detergent fiber (ADF) values, and neutral detergent fiber (NDF) increased in September compared to May and July. In September, compared to May, CA has increased by 23 %, DM by 64 %, CM by 30.5 %, ADF by 9.8 %, and NDF by 9.8 %. During the vegetation period, there was an increase in dry matter content in parallel with maturation. The dry matter content of Styrax tree leaves (STL) increased in May (30 %), July (40 %) and September (50 %). Crude protein amounts were found 19 % in May, 17 % in July, and 15 % in September. As the STL grows, decreases in CP, which plays a role in plant growth, and increases in the cell membrane were observed. The CF content in STL changed to 3.2 %, 4.4 %, and 4.3 % in May, July, and September, respectively, with the highest value determined in July and very close to the September value. CA content in styrax tree plants varied by 8.58 % in May, in July by 9.86 %, and in September by 10.56 %. As the amount of dry matter increased according to the periods, the amount of CA also increased. NDF and ADF levels increased in parallel with the vegetation period's development in STL. NDF was found to be 37.5 %, 39.0 %, and 41.5 % according to the periods. ADF amount was found 27 % in May, 28.5 % in July, and 30 % in September. Metabolic energy varied between 8.86 and 10.06 (MJ/kg KM) depending on the periods. When organic matter digestion levels were examined, it was seen that the highest OMD was in July with 58.71 %. Gas production was determined by incubations of 0, 3, 6, 12, 24, 48, 72, and 96 h, and the maximum gas measurement value was in September, July, and May, respectively. As a result of the study, STL can be a good alternative feed source for ruminants when adequate amounts of high-quality feed materials cannot be provided.

Assessing the potential for seaweed cultivation in EU seas through an integrated modelling approach

The potential of large-scale seaweed cultivation to contribute to achieving ambitious EU-wide objectives, such as food security, energy independence, carbon neutrality and ecosystems restoration, is widely recognized. However, there is a lack of information on the suitability of EU marine regions for the installation of floating macro-algae cultivation infrastructures. In this study, we utilize the World Offshore Macro Algae Production Potential (WOMAPP) model in conjunction with state-of-the-art coupled hydrodynamic-biogeochemical models, to assess the environmental suitability of EU marine regions for seaweed cultivation. Our analysis reveals that the EU Atlantic regions are the most suitable areas for seaweed cultivation, particularly for cold-water and intermediate-water species. The potential cultivation area is extensive, spanning over 1 million km2, and even taking a precautionary approach by occupying only 1% of that area could yield a yearly production of over 30 million tonnes dry weight. Adding logistical constraints (water depth and distance to coast) further limit the potential production to 5 million tonnes per year, only considering EU member states' waters. Furthermore, we discuss the opportunity to use integrated multi-trophic aquaculture (IMTA), to increase the potential for seaweed cultivation.

Effect of salinization on soil properties and mechanisms beneficial to microorganisms in salinized soil remediation–a review

Salinized soil is an important reserved arable land resource in China. The management and utilization of salinized soil can safeguard the current size of arable land and a stable grain yield. Salt accumulation will lead to the deterioration of soil properties, destroy soil production potential and damage soil ecological functions, which in turn will threaten global water and soil resources and food security, and affect sustainable socio-economic development. Microorganisms are important components of salinized soil. Microbial remediation is an important research tool in improving salinized soil and is key to realizing sustainable development of agriculture and the ecosystem. Knowledge about the impact of salinization on soil properties and measures using microorganisms in remediation of salinized soil has grown over time. However, the mechanisms governing these impacts and the ecological principles for microbial remediation are scarce. Thus, it is imperative to summarize the effects of salinization on soil physical, chemical, and microbial properties, and then review the related mechanisms of halophilic and halotolerant microorganisms in salinized soil remediation via direct and indirect pathways. The stability, persistence, and safety of the microbial remediation effect is also highlighted in this review to further promote the application of microbial remediation in salinized soil. The objective of this review is to provide reference and theoretical support for the improvement and utilization of salinized soil.

Accretion of Meteoric Organic Matter at the Surface of Mars and Potential Production of Methane by Ultraviolet Radiation

In this study, a comprehensive model of the meteoric organic cycle on Mars for the current geological period is developed, which characterizes the ablation of exogenous organic matter in the upper atmosphere, the accretion of intact carbon at the surface, and the potential production of methane by UV photolysis from the surface reservoir. The model accounts for both the latitudinal and seasonal variation of the meteoroids’ input from the most relevant populations in the inner solar system. A recent version of the University of Leeds Chemical Ablation Model, which includes a semiempirical model to describe the pyrolysis kinetics of the meteoric organic matter, is then combined with this meteoroid input function and a semiempirical model that quantifies the UV production of methane. The minimum and maximum accretion rates of organics are between 18 and 90 kg sol−1 at aphelion and 45–134 kg sol−1 at the first crossing of the ecliptic plane. The resulting mixing ratios of carbon, in the top 200 μm of the surface layer, range from 0.09–0.43 ppm at 20°N to 4.8–8.9 ppm around the south pole. To be consistent with the methane upper limit of 0.02 ppbv measured by the NOMAD instrument on the ExoMars Trace Gas Orbiter, the UV photolysis yields for methane production need to be around 3% assuming a meteoric carbon content in comets of 25.6 wt% and an atmospheric lifetime of methane of 329 Earth yr. Alternatively, a laboratory estimate of 20% for the methane production yield would require a lifetime of 60 Earth yr.

Co-creation in a duopoly considering the effect of product return

Co-creation has become popular in experience good markets as it can resolve the uncertainty of the mismatch between product attributes and customer preferences. This paper delves into an examination of how firms strategize product co-creation with their customers in a competitive duopoly context, all the while taking into account the potential product return stemming from mismatch uncertainty. Results show that when the launching cost is moderate and the customer’s participation cost is relatively small, an asymmetric equilibrium with one firm launching the project and the other not is reached; otherwise, both firms adopt co-creation or not, conditional on the launching cost. Besides, firms may fall into a prisoner’s dilemma in which both firms launch the project when the launching cost is moderate. Furthermore, it is shown that co-creation functions as an effective way for firms to escape the Bertrand trap and reap the benefits of the product’s high valuation. Additionally, there is a mutual influence between co-creation and product return. A higher product return cost incentivizes firms to embrace co-creation, but meanwhile, it makes them more susceptible to falling into a prisoner’s dilemma scenario. In a state of equilibrium, co-creation consistently diminishes the product return for the firm engaging in it. Particularly, the firm not providing co-creation can take a free ride on the competitor’s co-creation benefits in reducing product return when the return cost is relatively large. Lastly, the value of co-creation can be amplified through the implementation of a price discrimination strategy, particularly when the participation cost is relatively large.

Impacts of polycultural cropping on crop yields and biodiversity: A systematic map protocol

Abstract Agriculture is currently the largest driver of biodiversity‐loss worldwide. There is a critical need to develop agricultural systems that protect and promote biodiversity, while also meeting local and global food needs. Ecological theory suggests that cultivating crops in diverse mixtures both maximises niche occupancy and generates additional niches, generating both higher yields and higher biodiversity than cultivation in monocultures. A large and growing body of agronomic research provides strong evidence for the potential productivity and biodiversity benefits of in‐field crop‐diversification strategies. This protocol sets out a methodology for a systematic map of evidence on yield‐ and biodiversity‐outcomes in ‘polycultures’—systems of cultivation where multiple food crop species are grown together simultaneously at field‐scale. Systematic searches with a global scope will be conducted in Web of Science Core Collection, Scopus, and CAB Abstracts to yield a comprehensive sample of relevant published, peer‐reviewed literature. The articles returned by searches will be subject to eligibility screening according to pre‐defined inclusion criteria, at successive stages (title and abstract, and full text). Following this, we will extract data from eligible studies on study designs, survey and sampling protocols, experimental treatments and comparators, and outcomes measured. A narrative synthesis, illustrated by tables, figures and maps, will describe the quantity and characteristics of the available evidence on the impacts of polycultural cropping on (i) crop yields, and (ii) agroecosystem biodiversity. We will also identify the research that examines these two outcomes in parallel. The synthesis will be accompanied by a published database containing bibliographic information as well as data (see ‘2’) on study characteristics and outcomes. Practical implications. The anticipated systematic map will provide a synthesis of current evidence regarding the potential yield‐ and biodiversity‐impacts of polycultural cropping. We will identify key knowledge gaps, and ‘clusters’ of related evidence that could lend themselves to further quantitative synthesis via subsequent systematic reviews and/or meta‐analyses. As such, the work will facilitate future appraisal of the potential of polyculture as a tool to bridge the currently conflicting priorities of food production on the one hand and biodiversity conservation on the other.

Co-creation in a duopoly considering the effect of product return

Co-creation has become popular in experience good markets as it can resolve the uncertainty of the mismatch between product attributes and customer preferences. This paper delves into an examination of how firms strategize product co-creation with their customers in a competitive duopoly context, all the while taking into account the potential product return stemming from mismatch uncertainty. Results show that when the launching cost is moderate and the customer’s participation cost is relatively small, an asymmetric equilibrium with one firm launching the project and the other not is reached; otherwise, both firms adopt co-creation or not, conditional on the launching cost. Besides, firms may fall into a prisoner’s dilemma in which both firms launch the project when the launching cost is moderate. Furthermore, it is shown that co-creation functions as an effective way for firms to escape the Bertrand trap and reap the benefits of the product’s high valuation. Additionally, there is a mutual influence between co-creation and product return. A higher product return cost incentivizes firms to embrace co-creation, but meanwhile, it makes them more susceptible to falling into a prisoner’s dilemma scenario. In a state of equilibrium, co-creation consistently diminishes the product return for the firm engaging in it. Particularly, the firm not providing co-creation can take a free ride on the competitor’s co-creation benefits in reducing product return when the return cost is relatively large. Lastly, the value of co-creation can be amplified through the implementation of a price discrimination strategy, particularly when the participation cost is relatively large.

Sales Revenues for New Therapeutic Agents Approved by the United States Food and Drug Administration From 1995 to 2014: A Retrospective Study

ObjectivesThis study aimed to analyze worldwide sales of new therapeutic agents and to estimate the time it takes for product sales to exceed industry-wide average drug development costs. MethodsData obtained from company reports were analyzed to track worldwide sales of new medicines approved by the US Food and Drug Administration from 1995 to 2014. All sales figures were reported in 2019 US dollars. Kaplan-Meier curves were used to evaluate the time it took for discounted product sales to exceed the average costs associated with developing 1 new drug (accounting for the costs of failed trials), using published estimates of these costs. ResultsBased on data for 361 of 558 new therapeutic agents approved over the study period (median follow-up 13.2 years), mean sales revenue per product was $15.2 billion through the end of 2019; the median was $6.7 billion. These products jointly generated global sales of $5.5 trillion since approval. Revenues were highly skewed, with the 25 best selling products (7%, 25 of 361) accounting for 38% of this amount ($2.1 trillion of $5.5 trillion). Approximately 47% of products had discounted sales that exceeded the estimated industry-wide average costs of development within 5 years of approval, and 75% within 10 years. After attributing potential production, marketing, and other costs, these numbers dropped to 21% of products within 5 years of approval, and 46% within 10 years. ConclusionsSales of new medicines approved from 1995 to 2014 were highly skewed, but most products had net discounted sales that exceeded the industry-wide average costs of development within 10 years of approval. An understanding of how sales revenues accrue in the years after initial approval, alongside data on business costs, can inform discussions about how to incentivize private investment in innovation while ensuring affordable prices for patients and the healthcare system.

Experimental and numerical investigation of the incorporation of an air temperature controller for indirect solar dryers

Solar drying systems often face the challenge of overheating due to uncontrolled solar collectors, which can degrade the quality of dried products by destroying enzymes, vitamins, and their chemical composition. To address this issue, we developed and validated a new control system for stabilizing drying air temperature using both experimental and CFD numerical methods. This system not only effectively maintains the desired air temperature but also extends the lifespan of solar collectors by adjusting their exposure during periods of excessive solar radiation. The experimental results demonstrated that without the control system, the air temperature peaked at 72 °C, leading to potential product degradation. In contrast, the control system has succeeded in stabilizing the air temperature at an optimum level. Additionally, the validated CFD model confirmed the effectiveness of this control technique in various climatic conditions, including cold semi-arid, typically Mediterranean, hot semi-arid, and sub-desert conditions. The findings underline the importance and necessity of temperature control in solar drying systems, as well as the effectiveness of the CFD method in predicting system performance. Furthermore, this work significantly enhances the efficiency and applicability of solar drying technology, offering a practical solution for improving product quality and system durability.