Solar energy powered electrochemical reduction of CO2 on In2O3 nanosheets with high energy conversion efficiency at a large current density.

Electrochemical CO2 reduction (ECO2R) to value-added chemicals offers a promising approach to both mitigate CO2 emission and facilitate renewable energy conversion. We demonstrate a solar energy powered ECO2R system operating at a relatively large current density (57 mA cm-2) using In2O3 nanosheets (NSs) as the cathode and a commercial perovskite solar cell as the electricity generator, which achieves the high solar to formate energy conversion efficiency of 6.6 %. The significantly enhanced operative current density with a fair solar energy conversion efficiency on In2O3 NSs can be ascribed to their high activity and selectivity for formate production, as well as the fast kinetics for ECO2R. The Faradic efficiencies (FEs) of formate In2O3 NSs are all above 93 %, with the partial current density of formate ranging from 2.3 to 342 mA cm-2 in a gas diffusion flow cell, which is among the widest for formate production on In-based catalysts. In-situ Raman spectroscopy and density functional theory simulations reveal that the exceptional performances of formate production on In2O3 NSs originates from the presence of abundant low coordinated edge sites, which effectively promote the selective adsorption of *OCHO while inhibiting *H adsorption.

Ozonolysis of ketoprofen in polluted water: Reaction pathways, kinetics, removal efficiency, and health effects.

Ketoprofen (KET), as a non-steroidal anti-inflammatory drug frequently detected in aqueous environments, is a threat to human health due to its accumulation and low biodegradability, which requires the transformation and degradation of KET in aqueous environments. In this paper, the reaction process of ozone-initiated KET degradation in water was investigated using density functional theory (DFT) method at the M06-2X/6-311++g(3df,2p)//M06-2X/6-31+g(d,p) level. The detailed reaction path of KET ozonation is proposed. The thermodynamic results show that ozone-initiated KET degradation is feasible. Under ultraviolet irradiation, the reaction of ozone with water can also produce OH radicals (HO·) that can react with KET. The degradation reaction of KET caused by HO· was further studied. The kinetic calculation illustrates that the reaction rate (1.99 × 10-1 (mol/L)-1 sec-1) of KET ozonation is relatively slow, but the reaction rate of HO· reaction is relatively high, which can further improve the degradation efficiency. On this basis, the effects of pollutant concentration, ozone concentration, natural organic matter, and pH value on degradation efficiency under UV/O3 process were analyzed. The ozonolysis reaction of KET is not sensitive to pH and is basically unaffected. Finally, the toxicity prediction of oxidation compounds produced by degradation reaction indicates that most of the degradation products are harmless, and a few products containing benzene rings are still toxic and have to be concerned. This study serves as a theoretical basis for analyzing the migration and transformation process of anti-inflammatory compounds in the water environment.

A novel CBM serving as a module for efficiently decomposing xanthan by modifying the processivity of hydrolase.

The inefficient decomposition of polysaccharides, particularly branched polysaccharides limits their large-scale industrial applications. Further understanding and modification of glycoside hydrolases (GHs) processivity is expected to overcome this limitation. Here, a novel xanthan-binding CBM (MiXBM), which was supposed to alter the processivity of GHs, was systematically characterized. Phylogeny and structure analyses indicated that MiXBM is closely related to putative polysaccharide side chain-binding modules. Quantitative binding assays further revealed that MiXBM probably has a high affinity for xanthan side chain via a variable loop site. Moreover, catalytic performance demonstrated that xanthanase chimeras containing MiXBM promote highly efficient hydrolysis of xanthan because of improved substrate accessibility. Notably, MiXBM was observed to enhance the processivity of xanthanase, owing to its high substrate affinity to the repeating unit xanthan. Furthermore, sequential hydrolysis of xanthan by xanthanases with varying processivity resulted in significantly increased hydrolytic efficiency and focused oligoxanthans array. These results expand understanding of CBM-substrate recognition and shed light on efficient degradation of other regularly branched polysaccharides using modified GHs.

How does high hydrostatic pressure treatment improve the esterification of quinoa (Chenopodium quinoa Willd.) starch?

High hydrostatic pressure (HHP) treatment was combined with octenyl succinic anhydride (OSA) modification of quinoa starch (QS) to improve esterification efficiency. The modified QS was used as a stabilizer to prepare a Pickering emulsion. The results showed that the HHP treatment disrupted the morphology and crystalline structure of QS, exposed numerous hydrophilic hydroxyl groups, and added esterification reaction sites. The degree of substitution (DS) and esterification efficiency (RE) of OSA-HHP-QS were significantly (p < 0.05) increased compared with OSA-QS. In addition, the short-range ordering, relative crystallinity, and thermal stability of OSA-HHP-QS decreased with increasing treatment pressure. Except for OSA-HHP200-QS, the starch granules treated at 200 MPa were annealed, resulting in molecular recrystallization. The Contact angle, emulsion stability index (ESI), and emulsion activity index (EAI) indicated that the emulsions stabilized with OSA-HHP-QS were highly stable. Therefore, HHP can be used as a novel technology to assist OSA modified starches in stabilizing Pickering emulsions.

Developing natural microcapsules by encapsulating peptides for preserving Zanthoxylum Bungeanum.

Natural edible microcapsules, were developed to improve the shelf life of Zanthoxylum bungeanum. Antimicrobial peptides, extracted from seeds of Sichuan pepper corn by ultrasound and microwave assisted extraction were encapsulated with nisin using water-in-oil-in-water (W/O/W) microencapsulation technique. Prepared microcapsules exhibited maximum encapsulation efficiency (ω %) of 30.20 at 3:1 ratio of extracted protein (EP) to gum Arabic (GA). After characterization, microcapsules were applied to Sichuan peppers by coating them during 10-days storage. Meanwhile, antimicrobial activity, total phenolic content (TPC), total flavonoid content (TFC) and radical scavenging activity (%) of treated pepper samples were evaluated; demonstrating that S3 and S4 microcapsules provided maximum antimicrobial activity (89.75 and 81.33 %), TPC (543.56 ± 3.87 and 481.40 ± 6.54 GAE/g), TFC (266.02 ± 2.64 QE/g and 306.96 ± 3.87 QE/g) and DPPH radical scavenging activity (78.06 ± 2.87 and 76.52 ± 1.67 %), respectively. Hence, S3 and S4 micro-capsules can be successfully employed as edible coating packaging to improve quality and shelf life of pepper.

Hydrogels with high sacrifice efficiency of sacrificial bonds and with high strength and toughness due to dense entanglements of polymer chains.

Introducing sacrificial bonds is a common method for increasing the toughness of hydrogels. Many sacrificial bonds have been extensively investigated, but the sacrifice efficiency has never been studied. In this study, polyacrylamide hydrogels with highly entangled polymer chains containing carboxyl-zirconium (-COO--Zr4+) sacrificial bonds are prepared to study the effect of polymer chain entanglement on the sacrificial bond efficiency. Unlike chemical crosslinking points, the dense physical entanglements do not affect the toughness (∼43 MJ/m3) of hydrogels but significantly improve the tensile strength (by two times) and Young's modulus (by six times). Physical entanglements enable the chains to slide and adjust the network structure under stress, which enables more polymer chains and sacrificial bonds to participate in the deformation process. Therefore, dense entanglements will greatly improve the sacrifice efficiency. However, a high density of chemical crosslinking points will limit the improvement in the sacrifice efficiency, which is attributed to the sliding limitations because of physical entanglement. The highly entangled polyacrylamide hydrogels toughened by -COO--Zr4+ have an excellent load-bearing capacity. This study provides a novel strategy for designing hydrogels with ultra-high strength and toughness, which paves the way for the development of many hydrogels used in engineering materials.

The Evolution of Nucleic Acid-Based Diagnosis Methods from the (pre-)CRISPR to CRISPR era and the Associated Machine/Deep Learning Approaches in Relevant RNA Design.

Nucleic acid tests (NATs) are considered as gold standard in molecular diagnosis. To meet the demand for onsite, point-of-care, specific and sensitive, trace and genotype detection of pathogens and pathogenic variants, various types of NATs have been developed since the discovery of PCR. As alternatives to traditional NATs (e.g., PCR), isothermal nucleic acid amplification techniques (INAATs) such as LAMP, RPA, SDA, HDR, NASBA, and HCA were invented gradually. PCR and most of these techniques highly depend on efficient and optimal primer and probe design to deliver accurate and specific results. This chapter starts with a discussion of traditional NATs and INAATs in concert with the description of computational tools available to aid the process of primer/probe design for NATs and INAATs. Besides briefly covering nanoparticles-assisted NATs, a more comprehensive presentation is given on the role CRISPR-based technologies have played in molecular diagnosis. Here we provide examples of a few groundbreaking CRISPR assays that have been developed to counter epidemics and pandemics and outline CRISPR biology, highlighting the role of CRISPR guide RNA and its design in any successful CRISPR-based application. In this respect, we tabularize computational tools that are available to aid the design of guide RNAs in CRISPR-based applications. In the second part of our chapter, we discuss machine learning (ML)- and deep learning (DL)-based computational approaches that facilitate the design of efficient primer and probe for NATs/INAATs and guide RNAs for CRISPR-based applications. Given the role of microRNA (miRNAs) as potential future biomarkers of disease diagnosis, we have also discussed ML/DL-based computational approaches for miRNA-target predictions. Our chapter presents the evolution of nucleic acid-based diagnosis techniques from PCR and INAATs to more advanced CRISPR/Cas-based methodologies in concert with the evolution of deep learning (DL)- and machine learning (ml)-based computational tools in the most relevant application domains.

The effectiveness of psychotherapies in reducing further suicide attempts: a systematic review with meta-analysis of randomized controlled trials

There is little evidence on the effectiveness of psychotherapeutic interventions in reducing new suicide attempts. This article aims to evaluate the effectiveness of psychotherapeutic interventions in reducing suicide attempts among patients with a history of previous attempts. We selected 17 articles from four databases: PubMed, Cochrane, APA PsycInfo and LILACS, in 2023. Six studies showed statistical differences that favored psychotherapeutic intervention at some point during the follow-up period. These psychotherapies addressed: problem-solving, hope induction, skills training. When comparing psychotherapy with usual care, a meta-analysis revealed an odds ratio of 0.41 (95 % CI, 0.17-0.99, p = .05) in the analysis up to 12 months of follow-up, and an odds ratio of 0.48 (95 % CI, 0.30-0.78, p < .001) after 12 months of follow-up. The results indicate the efficacy of these interventions in reducing additional suicide attempts, but they should be analyzed with caution, given the heterogeneity of the sample, treatments, and comparators. This review supports the development of prevention strategies indicated for patients who have attempted suicide.

Hay poca evidencia sobre la eficacia de las psicoterapias para reducir los nuevos intentos de suicidio. Este artículo tiene como objetivo evaluar la efectividad de las intervenciones psicoterapéuticas en la reducción de los intentos de suicidio entre pacientes con intentos previos. Se seleccionaron 17 artículos de cuatro bases de datos: PubMed, Cochrane, APA PsycInfo y LILACS. Seis estudios mostraron diferencias estadísticas que favorecieron la intervención psicoterapéutica en algún momento durante el período de seguimiento. Estas psicoterapias abordaron: resolución de problemas, inducción de esperanza y entrenamiento de habilidades. Al comparar la psicoterapia con el tratamiento habitual, el metanálisis reveló un odds ratio de 0.41 (IC del 95 %, 0.17 a 0.99, p = .05) en el análisis hasta los 12 meses de seguimiento, y un odds ratio de 0.48 (IC del 95 %, 0.30 a 0.78, p < .001) después de 12 meses de seguimiento. Los resultados apuntan a la eficacia de estas intervenciones para reducir los intentos de suicidio adicionales, pero deben analizarse con cautela, dada la heterogeneidad de la muestra, los tratamientos y los comparadores. Esta revisión apoya el desarrollo de estrategias de prevención indicadas para pacientes que han intentado suicidarse.

Decarbonizing the global steel industry in a resource-constrained future-a systems perspective.

Decarbonizing the global steel industry hinges on three key limited resources: geological carbon storage, zero-emission electricity and end-of-life scrap. Existing system analysis calls for an accelerated expansion of the supply of these resources to meet the assumed ever-increasing steel demand. In this study, we propose a different view on how to decarbonize the global steel industry, based on the principle that resource supply can only expand in line with historical trends and actual construction plans. Our analysis shows that global steel production cannot grow any further within a Paris-compatible carbon budget, resulting in a shortfall of approximately 30% against 2050 demand. This trajectory involves the phasing out of blast furnaces, along with strong growth in scrap recycling and hydrogen-based production. These findings highlight critical yet often overlooked challenges: (i) reducing excess demand while providing essential services, (ii) producing high-grade steel through upcycling scrap, and (iii) ensuring an equitable distribution of limited production across the globe. These perspectives contrast with those of the current agenda, which largely emphasizes the need to invest in new production technologies. Grounded in a physical basis, this analysis offers a complementary perspective for a more balanced debate in policymaking and industrial strategy. This article is part of the discussion meeting issue 'Sustainable metals: science and systems'.

Simulation-Based Learning as a Strategy to Optimizing Efficiency of Upper Endoscopy and Colonoscopy.

Gastrointestinal diseases impose a significant morbidity, mortality, and health care cost burden, affecting millions annually in the United States alone. Endoscopy plays a crucial role in managing these conditions. Despite technological advancements in endoscopy, ensuring efficient, high-quality care remains challenging. A critical need to standardize high-quality endoscopy is for education reform in the training of endoscopists. Traditional apprenticeship-based training methods are dependent on the trainer as well as the patient case mix. Simulation-based mastery learning (SBML) emerges as a promising strategy to improve endoscopy training. This review discusses the current state of SBML for optimizing upper endoscopy and colonoscopy efficiency.

Is the delivery of National Disability Insurance Scheme in Australia through quasi markets achieving the right outcomes in vision rehabilitation services? A qualitative study.

PURPOSE: Despite being a pioneering social initiative worldwide, Australia's National Disability Insurance Scheme (NDIS) still presents unresolved issues for individuals with vision-related disability regarding its processes and outcomes. This study evaluates how well the NDIS markets are perceived to achieve efficiency, responsiveness, choice, quality, and equity within the vision rehabilitation sector, and identified factors facilitating or hindering desired outcomes. MATERIALS AND METHODS: This qualitative study conducted 22 semi-structured interviews involving individuals with vision disability, service providers, peak-body and professional-body representatives, and an NDIS planner. RESULTS: Findings across stakeholder groups show minimal variation. The NDIS's quasi-market approach has improved participants' choices over ways to utilise and manage their funding and consequently provided them with a sense of control and empowerment. However, inefficiencies persist due to insufficient competition, workforce shortages, price caps, information asymmetry, high transaction costs, gaming behaviour, inadequate staff training, complex and lengthy processes, and eligibility concerns. Supportive factors include effective advocacy, pragmatic regulations to maintain quality, opportunities for innovation, and service providers' motivation for cost-effectiveness. CONCLUSIONS: While NDIS markets have made significant strides in enhancing participants' choice and control, our findings underscore the need for continued refinement to achieve broader social objectives and long-term sustainability for individuals with vision-related disability.

The NDIS's quasi-market approach empowers participants with vision disability to exercise choice and control over their rehabilitation services and funding management.While quality assurance measures exist within the NDIS, concerns persist regarding service quality, attitudes of NDIA staff and providers, and consumer rights.Ensuring accessible market information, effective advocacy, and robust quality standards is essential to address these concerns.The study highlights the importance of refining policies, regulations, and pricing structures within the NDIS markets to address inefficiencies, promote high-quality and responsive vision rehabilitation services, and ensure equitable access while maintaining the sustainability of the NDIS.

Transcriptome analysis of liver and ileum reveals potential regulation of long non-coding RNA in pigs with divergent feed efficiency.

Objective: LncRNA plays a significant role in regulating feed efficiency. This study aims to explore the key long non-coding RNAs, associated genes, and pathways in pigs with extreme feed efficiencies. Methods: We screened pigs with extremely high and low RFI through a 12-week animal growth trial and then conducted transcriptome analysis on their liver and ileum tissues. We analyzed the differential expressed lncRNAs, miRNAs, and mRNAs through target gene prediction and functional analysis. And we identified key lncRNAs and their potential regulatory genes associated with feed efficiency through the construction of competitive endogenous RNA network. Results: Differentially expressed lncRNAs were pinpointed in the liver, revealing 23 crucial target genes primarily associated with GTP metabolism and glycolipid biosynthesis. In the ileum, a screening identified 92 pivotal target genes, mainly linked to lipid and small molecule metabolism. Moreover, LOC106504303 and LOC102160805 emerged as potentially significant lncRNAs respectively, playing roles in mitochondrial oxidative phosphorylation in the liver, and lipid and cholesterol metabolism in the ileum. Conclusion: The lncRNAs regulate energy metabolism and biosynthesis in the liver, and the digestive absorption capacity in the small intestine, affecting the feed efficiency of pigs.

Optimizing tropical dairy goat diets: balancing rumen degradable protein, non-fiber carbohydrates, and sulfur requirements.

Objective: This study aimed to investigate the effects of rations incorporating rumen degradable protein (RDP), non-fiber carbohydrate (NFC), and sulfur on nutrient utilization, milk production, milk quality, and the economic aspects of dairy goats. Methods: In the first study, five treatments were tested in a block-randomized design to examine in vitro fermentability and digestibility. Treatments included P0 (control diet), P1 (P0 + 7.5% cassava-NFC), P2 (P0 + 7.5% cassava-NFC and 5% soybean), P3 (P0 + 7.5% cassava-NFC and 5% autoclaved soybean), and P4 (P0 + 7.5% cassava-NFC, 5% autoclaved soybean, and 0.1% sulfur). In the second study, sixteen lactating Saanen-Ettawa crossbreed dairy goats (initial milk production = 0.97 ± 0.25 L/head/day, 30 DIM; body weight = 44.44 ± 7.20 kg) were assigned into four groups and fed treatment diets: R0 (basal diet), R1 (R0 + 12% autoclaved soybean), R2 (R0 + 12% autoclaved soybean and 9% cassava-NFC), and R3 (R0 + 12% autoclaved soybean, 9% cassava-NFC, and 0.11% sulfur). The diets were offered for 7 weeks with a two-week adaptation period. Parameters observed include milk production and quality, milk fatty acids, blood hematology and metabolites, and economic aspects. The study used a block randomized design with initial weight as a block. Results: The treatment diets in the first study had no effect on in vitro fermentability and digestibility. Treatments R2 and R3 resulted in higher milk production than R0 and R1. Milk quality remained consistent across treatments, while solid non-fat, lactose, and protein was higher in R2 and R3. Blood hematology was unaffected by the treatments. Nutrient efficiency and income over feed cost were enhanced by R2 and R3 treatments. Conclusion: Protected RDP using autoclaved soybean and cassava-NFC maintained in vitro digestibility, even though it did not improve in vitro fermentability. Precision dairy ration based on RDP, NFC, and sulfur positively impacts milk production, nutrient efficiency, and animal health in dairy goats.

Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.

STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particularly in community settings. This study aimed to investigate a predictive model for sleep efficiency and its associated features in older adults living with dementia in their own homes. METHODS: This was an exploratory, observational study. A total of 69 older adults diagnosed with dementia were included in this study. Data were collected via actigraphy for sleep and physical activity for 14 days, a sweat patch for cytokines for 2-3 days, and a survey of diseases, medications, psychological and behavioral symptoms, functional status, and demographics at baseline. Using 730 days of actigraphy, sweat patches, and baseline data, the best prediction model for sleep efficiency was selected and further investigated to explore its associated top 10 features using machine learning analysis. RESULTS: The CatBoost model was selected as the best predictive model for sleep efficiency. In order of importance, the most important features were sleep regularity, number of medications, dementia medication, daytime activity count, instrumental activities of daily living, neuropsychiatric inventory, hypnotics, occupation, tumor necrosis factor-alpha, and waking hour lux. CONCLUSIONS: This study established the best sleep efficiency predictive model among community-dwelling older adults with dementia and its associated features using machine learning and various sources, such as the Internet of Things. This study highlights the importance of individualized sleep interventions for community-dwelling older adults with dementia based on associated features.

Plant growth regulators improve the yield of white lupin (Lupinus albus) by enhancing the plant morpho-physiological functions and photosynthesis under salt stress.

BACKGROUND: White lupin (Lupinus albus L.) is a multi-purpose, climate resilient, pulse crop with exceptionally high protein content that makes it a suitable alternative of soybean in livestock feed. Although white lupin grows well on marginal sandy soils, previous studies have reported its sensitivity towards salinity stress. This experiment aims to assess the influence of salinity stress and mitigating role of plant growth regulators (PGRs) on performance of white lupin. METHODOLOGY: The white lupin plants were sown in pots maintained at three salinity levels (1, 3 and 4.5 dS m- 1) throughout the growing season and foliar sprayed with different PGRs, including ascorbic acid, potassium chloride, boric acid, ammonium molybdate and methionine at sowing, four weeks after emergence and at the initiation of flowering. Foliar spray of distilled water and salinity level of 1 dS m- 1 were maintained as control treatments. Data were recorded for seed germination indices, plant growth, antioxidant enzymes and photosynthetic efficiency variables. RESULTS: The severe salinity stress (4.5 dS m- 1) reduced the germination indices by 9-50%, plant growth traits by 26-54%, root nodulation by 12-26%, grain development by 44-53%, antioxidant enzymes activity by 13-153% and photosynthetic attributes by 1-8% compared to control (1 dS m- 1). Different PGRs improved several morpho-physiological attributes in a varied manner. The application of potassium chloride improved seed vigour index by 53%, while ascorbic acid improved root nodulation by 12% and number of pods per cluster by 75% at the severe salinity level. The foliar application of PGRs also displayed a recovery of 140% in the activity of superoxide dismutase and 70% in catalase. The application of multi zinc displayed an improvement of 37% in plant relative chlorophyll, while ascorbic acid brought an increase of 25% in non-photochemical quenching and 21% in photochemical quenching coefficient at the severe salinity level. On contrary, the application of PGRs brought a relatively modest improvement (8-13%) in quantum yield of photosystem II at slight to moderate (3 dS m- 1) salinity stress. The correlation analysis confirmed a partial contribution of leaf area and seed vigour index to overall photosynthetic efficiency of white lupin. CONCLUSIONS: Clearly, salinity exerted a negative impact on white lupin through a decline in chlorophyll content, activity of antioxidant enzymes and efficiency of photosynthetic apparatus. However,  PGRs, especially ascorbic acid and potassium chloride considerably improved white lupin growth and development by mitigating the negative effects of salinity stress.

Vapor Channel Oscillations in Laser Lithotripsy.

OBJECTIVES: Laser-based endoscopic procedures present special challenges to deliver energy for ablation or coagulation of target tissues. When optical fiber-target quasi-contact (< 0.5 mm distance) cannot be maintained or is undesirable, the creation of intervening vapor bubbles and channels provide for the necessary transmission of laser energy to the target. This work investigates the characteristics and the dynamics of vapor channels that directly affect ablation efficiency and ablation rate and are known to effect stone movement, all of which impact procedure efficiency and safety. METHODS: A simplified, experimental model for thulium fiber laser (1940 nm) lithotripsy consists of a water-filled cuvette and a vertically oriented laser fiber (200 µm core diameter) with its tip at 9 mm for "quasi-free" bubble generation and at vapor channel working distances 1-5 mm from and centered on the transparent cuvette bottom simulating a target's surface. Laser power transmission is recorded and synchronized with video frames from a high-speed camera (24,260 frames per second) to capture the induced vapor channels' and bubbles' development. RESULTS: Laser-induced channel transmission from 0% to 100% for 1, 2, and 3 mm fiber-target distances undergoes oscillations with average periods of 0.32, 0.64, and 1.0 ms, respectively, for 500 W laser output power. For fixed fiber-target distances of 0.5, 1, and 2 mm, the variation of these average oscillation frequencies across laser powers from 500 to 1000 W is much smaller, not exceeding 14%. For fiber-target distances in the range of 1-5 mm, the fraction of the 500 W laser's total pulse energy delivered to the target for 1, 2, and 3 ms pulses linearly decreases from 0.78 to less than 0.2. The channel and bubble dynamics begin with a spherical seed bubble expansion centered on the distal fiber tip that evolves into a pear shape whose surface exhibits periodic irregularities attributable to laser beam interruption by water droplets within the developing bubble. CONCLUSIONS: The study of laser-induced channel oscillations provides quantitative information relating fiber-target distance to channel oscillation frequency and energy transmission onto a target. These oscillations directly effect ablation efficiency and ablation rates that are important parameters for the optimization of a procedure's safety and duration. Insights that may lead to further reduction in retropulsion are also presented. Lasers Surg. Med. 00:00-00, 2024. © 2024 Wiley Periodicals LLC.

Growth Performance and Microbial Activity Positively Responded to Interactive Effect of Nitrogen and Phosphorus in Young Holstein Dairy Calves.

We hypothesized that nitrogen (N) and phosphorus (P), as two pivotal nutrients that contributed to the growth of growing animals, may have interactive effect on growth performance and microbial development in young calves. For this purpose, feeding two starter protein contents (20% [20CP] vs. 24% [24CP], DM basis) and two phosphorus supplementation levels (0.35% [0.35P] and 0.70% [0.7P], DM basis) was evaluated on growth performance, health indicators, digestibility of nutrients and microbial protein synthesis (MPS), the latter estimated from urinary purine derivatives (PDs). Forty-eight female Holstein calves (3 days of age) were assigned randomly to the following treatments: 20CP-0.35P, 20CP-0.7P, 24CP-0.35P and 24CP-0.7P (n = 12, each). Milk feeding schedule was identical among treatments until weaning (d 59), but study lasted until d 73. Feeding 24CP compared to 20CP diet tended to improve starter intake, increased average daily gain (ADG) during pre-weaning period (p < 0.05), and final body weight (p = 0.01). Higher P supplementation has marginal effect on starter intake but improved ADG (pre-weaning; p = 0.02) and microbial activity by greater MPS (p = 0.02) compared to 0.35P. The greatest starter intake, the most favourable general appearance score, the highest withers height, the highest hip height, the greatest organic matter and neutral detergent digestibility, and the greatest MPS were found when calves fed diets contained 24CP along with 0.7P in starter. Based on the current study results, N and P have separate effects on the growth performance of young calves; however, their positive interaction can be attributable to growth performance and microbial development, especially during the pre-weaning period.

Fine structural tuning of diphenylaniline-based dyes for designing semiconductors relevant to dye-sensitized solar cells.

Motivated by recent study on synthesized N, N-diphenylaniline (DPA)-based dyes [DOI: https://doi.org/10.1016/j.solener.2022.01.062 ] for use in dye-sensitized solar cells (DSSCs), we theoretically design several dyes and explore their potential for enhancing the efficiency of DSSCs. Our designed dyes are based on the molecular structure of synthesized DPA-azo-A and DPA-azo-N dyes with a donor-π-bridge-acceptor (D-π-A) framework. In this research, we aim to develop the power conversion efficiency (PCE) of DSSCs by fine-tuning the molecular structure of the synthesized dyes. To this end, we focus on designing dyes by replacing the units of DPA-azo-A and DPA-azo-N with a variety of donor, π-bridge, and acceptor. Hence the density functional theory (DFT) and time-dependent density functional theory (TD-DFT) calculations are done to explore their structure, electronic, optical, charge transport, and photovoltaic properties. Among all newly designed and reference dyes, the D3-azo-N and DPA-π3-N dyes which are designed by substituting the donor (DPA) and π-bridge (azo) units of DPA-azo-N with D3 and π3, respectively exhibit the highest PCE of 45.46% (for D3-azo-N) and 43.20% (for DPA-π3-N) and can be favorable dyes for improving the efficiency of DSSCs. Therefore, the dyes that are designed by substituting the donor and π-bridge units of synthesized dyes have more impact on improving the efficiency of DSSCs than those that involve replacing the acceptor units. Consequently, our theoretical findings will provide valuable insights for the experimentalists to employ these novel effective dyes and boost the performance of DSSCs.

Gas exchange efficiency slopes to assess exercise tolerance in chronic obstructive pulmonary disease.

BACKGROUND: In patients with chronic obstructive pulmonary disease (COPD), the clinical use of the minute ventilation-carbon dioxide production ([Formula: see text]E-[Formula: see text]CO2) slope has been reported as a measure of exercise efficiency, but the oxygen uptake efficiency slope (OUES), i.e., the slope of oxygen uptake ([Formula: see text]O2) versus the logarithmically transformed [Formula: see text]E, has rarely been reported. METHODS: We hypothesized that the [Formula: see text]E-[Formula: see text]CO2 slope is more useful than OUES in clinical use for the pathophysiological evaluation of COPD. Then, we investigated the cardiopulmonary exercise testing parameters affecting each of these slopes in 122 patients with all Global Initiative for Chronic Obstructive Lung Disease (GOLD) COPD grades selected from our database. RESULTS: Compared with the GOLD I-II group (n = 51), peak [Formula: see text]O2 (p < 0.0001), OUES (p = 0.0161), [Formula: see text]E at peak exercise (p < 0.0001), and percutaneous oxygen saturation (SpO2) at peak exercise (p = 0.0004) were significantly lower in the GOLD III-IV group (n = 71). The GOLD III-IV group was divided into two groups by the exertional decrease in SpO2 from rest to peak exercise: 3% or less (the non-desaturation group: n = 23), or greater than 3% (the desaturation group: n = 48). OUES correlated only weakly with peak [Formula: see text]O2, [Formula: see text]E at peak exercise, and the difference between inspired and expired mean O2 concentrations (ΔFO2) at peak exercise, i.e., an indicator of oxygen consumption ability throughout the body, in the GOLD III-IV group with exertional hypoxemia. In contrast, the [Formula: see text]E-[Formula: see text]CO2 slope was significantly correlated with ΔFO2 at peak exercise, regardless of the COPD grade and exertional desaturation. Across all COPD stages, there was no correlation between the [Formula: see text]E-[Formula: see text]CO2 slope and [Formula: see text]E at peak exercise, and stepwise analysis identified peak [Formula: see text]O2 (p = 0.0345) and ΔFO2 (p < 0.0001) as variables with a greater effect on the [Formula: see text]E-[Formula: see text]CO2 slope. CONCLUSIONS: The OUES may be less useful in advanced COPD with exertional hypoxemia. The [Formula: see text]E-[Formula: see text]CO2 slope, which is independent of [Formula: see text]E, focuses on oxygen consumption ability and exercise tolerance in COPD, regardless of the exertional hypoxemia level and COPD grade. Therefore, the [Formula: see text]E-[Formula: see text]CO2 slope might be useful in establishing or evaluating tailor-made therapies for individual patient's pathologies in COPD as an indicator focusing on oxygen consumption ability.

Organizational culture and leadership style in Spanish Hospitals: Effects on knowledge management and efficiency.

Hospital culture and leadership style have attracted considerable attention in research, with compelling evidence indicating their potential competitive advantages, including their crucial role in ensuring the successful implementation of knowledge management and its impact on hospital efficiency. The aim of this paper is to identify the effects of organizational culture and leadership style on knowledge management and hospital efficiency. Fuzzy cognitive maps (FCMs) are relational models that can be used to represent the opinions and knowledge of expert to infer cause-effect relationships among different concepts. The use of FCMs as a simulation tool enables the evaluation of potential scenarios based on different organizational cultures and leadership styles in hospitals. Developing an FCM for this study involved several steps. Firstly, data were collected through interviews with 21 experts in hospital management. The interviews were conducted between May and September 2023 either face-to-face or via videoconference. Once individual cognitive maps had been created, consensus among them was achieved through a multicriteria decision-making process, wherein the expert opinions were averaged. The separate cognitive maps of each expert were then integrated to produce a single FCM using the augmented FCM approach. Reflecting expert insights from the FCM, hospitals with a hierarchy culture exhibit diminished levels of knowledge creation, management, and overall hospital efficiency, whereas those with an adhocracy culture show improvements in knowledge creation, knowledge exploitation, and overall hospital efficiency in comparison to alternative ones. From the experts' FCM perspective regarding leadership style, transformational leadership achieves the highest level of knowledge management and hospital efficiency in hospitals with an adhocracy culture. Finally, this paper offers a reference for practising knowledge management and improving hospital efficiency through adhocracy culture and transformational leadership.