Substantial Variation Research Articles

Green innovation efficiency measurement of manufacturing industry in the Beijing-Tianjin-Hebei region of China based on Super-EBM model and Malmquist-Luenberger index

Promoting sustainable development in manufacturing is a paramount goal, with a focus on advancing green innovation. This study constructs a system for evaluating green innovation efficiency and employs the Super-EBM model, incorporating unexpected output, to assess the efficiency of green innovation in 13 cities across the Beijing-Tianjin-Hebei region from 2011 to 2020. The study further conducts dynamic analysis using the Malmquist-Luenberger index. Results reveal that, statically, the overall green innovation efficiency in the manufacturing industry of the Beijing-Tianjin-Hebei region is inefficient. There exists a considerable gap in green innovation efficiency among Beijing, Tianjin, and Hebei, with Beijing and Tianjin demonstrating superior performance compared to Hebei. Substantial variations exist in the green innovation efficiency of manufacturing across different cities in the Beijing-Tianjin-Hebei region. Only Beijing, Qinhuangdao, and Baoding achieve DEA-effective green innovation efficiency in the manufacturing industry, while the other cities do not. Dynamically, the green innovation efficiency of the manufacturing industry in the Beijing-Tianjin-Hebei region is on the rise. There is a varying degree of improvement in green innovation efficiency in Beijing, Tianjin, and Hebei, with Hebei showing the highest improvement, Tianjin ranking second, and Beijing having the least improvement. With the exception of Langfang and Hengshui, the green innovation efficiency in the manufacturing industry is improving in most cities in the Beijing-Tianjin-Hebei region, with Hebei witnessing the most significant improvement. This study aims to integrate “environmental pollution” into the evaluation index system for green innovation efficiency. It assesses green innovation efficiency in the manufacturing industry of the Beijing-Tianjin-Hebei region, considering both static and dynamic perspectives. This clarification offers insights into the level of green innovation, contributing valuable information for the advancement of high-quality development in the regional manufacturing industry.

A survey-based assessment of attitudes and needs regarding tinnitus healthcare among patients and healthcare professionals in Europe

Despite good agreement of national guidelines for the assessment and treatment of tinnitus, there is still substantial variation regarding tinnitus-related healthcare across Europe. In contrast to previous work, which has mainly focussed on the perspective of healthcare professionals, we here report the results of separate web-based surveys conducted with clinicians and researchers as well as tinnitus patients. These surveys were devised to obtain information about their respective attitudes and needs with respect to tinnitus healthcare, and to reveal possible interdisciplinary inconsistencies among clinicians and researchers. We mainly targeted participants from Germany, Cyprus, and Greece, the countries in which the institutions of the researchers involved in this project are based. Results showed, firstly, that the treatment satisfaction of the patients was overall more negative than that of the clinicians and researchers, and that the patients' treatment satisfaction did not depend on the number of different treatments they had received. Secondly, patients as well as clinicians and researchers indicated that they were interested in learning more about a variety of tinnitus-related topics, especially treatment strategies, with no marked differences between clinicians from different professional disciplines. This suggests similar tinnitus-specific educational needs in patients and healthcare professionals.

Linkage mapping and genomic prediction of grain quality traits in tropical maize (Zea mays L.).

The suboptimal productivity of maize systems in sub-Saharan Africa (SSA) is a pressing issue, with far-reaching implications for food security, nutrition, and livelihood sustainability within the affected smallholder farming communities. Dissecting the genetic basis of grain protein, starch and oil content can increase our understanding of the governing genetic systems, improve the efficacy of future breeding schemes and optimize the end-use quality of tropical maize. Here, four bi-parental maize populations were evaluated in field trials in Kenya and genotyped with mid-density single nucleotide polymorphism (SNP) markers. Genotypic (G), environmental (E) and G×E variations were found to be significant for all grain quality traits. Broad sense heritabilities exhibited substantial variation (0.18-0.68). Linkage mapping identified multiple quantitative trait loci (QTLs) for the studied grain quality traits: 13, 7, 33, 8 and 2 QTLs for oil content, protein content, starch content, grain texture and kernel weight, respectively. The co-localization of QTLs identified in our research suggests the presence of shared genetic factors or pleiotropic effects, implying that specific genomic regions influence the expression of multiple grain quality traits simultaneously. Genomic prediction accuracies were moderate to high for the studied traits. Our findings highlight the polygenic nature of grain quality traits and demonstrate the potential of genomic selection to enhance genetic gains in maize breeding. Furthermore, the identified genomic regions and single nucleotide polymorphism markers can serve as the groundwork for investigating candidate genes that regulate grain quality traits in tropical maize. This, in turn, can facilitate the implementation of marker-assisted selection (MAS) in breeding programs focused on improving grain nutrient levels.

A Field Study of Carbon Monoxide Levels in Snow Caves During Short-Term Stove Use.

While the use of camping stoves in poorly ventilated areas is discouraged, the need to address dehydration challenges in harsh arctic conditions has led to their unconventional use inside snow caves for snow melting, subjecting occupants to unknown carbon monoxide (CO) levels. This study, located at sea level in northeastern Greenland, aimed to assess CO levels and dynamics during short cooking sessions in newly constructed emergency snow caves. In 5 snow caves, constructed according to the same design principles by 4 different individuals, a single MSR Whisperlite multifuel burner, primed with ethanol and burning white gas, was used to melt snow. CO concentrations were monitored every minute until all the snow in a 5-L pot was converted to water and CO levels returned to below 10 ppm. A total of 16 experiments conducted showed that the priming phase generated the highest CO peaks, with a maximum of 120 ppm. Time-weighted averages ranged from 14 ppm to 67 ppm, with trial durations of 15 to 21 min. A single trial with a dirty burner resulted in up to a 10-fold increase in CO levels. While single, short cooking sessions of less than 10 min burn time in newly constructed snow caves may be tolerated under specific conditions, the study highlighted substantial variation between caves and the importance of using clean burners, emphasizing the need for further research to gain a comprehensive understanding of CO exposure dynamics in snow caves.

Modeling and stability analysis of substance abuse in women with control policies

Substance abuse is considered to be predominantly a problem for all in society, and much substance abuse research is done with a male majority. Recent drug addiction studies, however, reveal that there are substantial gender variations in substance-related epidemiology. The epidemiology of women’s substance misuse raises issues distinct from those addressed by men’s substance abuse. Women with addictions are more likely than males to experience several impediments to accessing and entering substance misuse treatment. In this regard, we framed a mathematical model by considering the whole population as a women population. For this system, we found pair of equilibrium points namely the Addiction-free equilibrium point and the Non-trivial equilibrium point. Moreover, the addicts generation number (threshold parameter) RA has been found to investigate the spread of addiction. Also, the local and global stability analysis for both the equilibrium points have investigated. Further, to analyze the decrease and increase of the infected population and recovery population respectively, an optimum control analysis is done with two control parameters using Pontryagin’s maximum principle. The influence of addict generation numbers on significant parameters involved in RA has been shown. An optimum control study projected that social media awareness is substantially more efficient than the fixed control in optimizing drug addiction among women. Through numerical simulations we have exhibited, the effect of with and without control on each population. Finally, it produced positive efficacy by reducing the number of infected and increasing the rehabilitation population.

Twenty-six years of phytoplankton pigments reveal a circumpolar Class Divide around the Southern Ocean

Regional taxonomic variation of phytoplankton communities in the Southern Ocean remains largely uncharacterised despite the distinct trophic and biogeochemical roles of different taxa in anthropogenic carbon uptake, biogeochemical processes, and as the primary source of energy for marine ecosystems. Here we analysed 26 years of pigment data (14,824 samples between 32°S and the Antarctic coast) from over 50 voyages (1996 – 2022), using the phytoclass software. The analysis confirms that the Antarctic Polar Front (APF) is a circumpolar phytoplankton class boundary, separating haptophyte dominated communities to the north from diatom domination of chlorophyll a in the south, and thereby a biological analogue corresponding to the Biogeochemical Divide. Furthermore, community composition was remarkably similar in different zones south of the APF despite substantial spatial variation in biomass. This circumpolar characterisation of the geospatial distribution of phytoplankton community composition will contribute to improved modelling and projection of future change in ecosystems and carbon in the Southern Ocean.

Recent studies on hypertension prevalence and control in India 2023.

Hypertension is the most important chronic disease risk factor in India. Recent epidemiological studies have reported that hypertension is increasing in India with a more rapid increase in rural and young populations. Fifth National Family Health Survey (NFHS-5) and Indian Council of Medical Research-INDIAB surveys have reported that there are substantial geographic variations in hypertension prevalence with greater prevalence in more developed states and districts of the country. There is a high prevalence of young-age hypertension, especially in the less developed states. The incidence of adverse events from hypertension-related cardiovascular disease is significantly greater in India than in more developed countries. A low level of hypertension awareness, treatment, and control, especially in rural and underserved urban populations is an important finding. In this narrative review, we highlight recent nationwide studies and unique features of hypertension in India and suggest strategies for better hypertension management and control.

Soil microenvironmental variation drives below‐ground trait variation and interacts with macroclimate to structure above‐ground trait variation of arctic shrubs

Abstract Intraspecific trait variation can influence plant performance in different environments and may thereby determine the ability of individual plants to respond to climate change. However, our understanding of its patterns and environmental drivers across different spatial scales is incomplete, especially in understudied regions like the Arctic. To fill this knowledge gap, we examined above‐ground and below‐ground traits from three shrub taxa expanding across the tundra biome and evaluated their relationships with multiple microenvironmental and macroclimatic factors. The traits reflected plant size and structure (plant height, leaf area and root to shoot ratio), leaf economics (specific leaf area, nitrogen content), and root economics and collaboration with mycorrhizal fungi (specific root length, root tissue density, nitrogen content, and ectomycorrhizal colonisation intensity). We also measured leaf and root δ15N and leaf δ13C to characterise nitrogen source and acquisition pathways and plant water stress. Traits were measured in replicated plots (N = 135) varying in soil microclimate, thaw depth and organic layer thickness established across five sites spanning a macroclimate gradient in northern Alaska. This hierarchical design allowed us to disentangle the independent and combined effects of fine‐scale and broad‐scale factors on intraspecific trait variation. We found substantial intraspecific variation at fine spatial scales for most traits and less variation along the macroclimate gradient and between shrub taxa. Consistent with these patterns, microenvironmental factors, mainly soil moisture and thaw depth, interacted with macroclimate, mainly climatic water deficit, to structure size‐structural and leaf trait variation. In contrast, most root traits responded additively to thaw depth and macroclimate. Synthesis. Our results demonstrate that above‐ground and below‐ground tundra shrub traits respond differently to microenvironmental and macroclimatic variation. These differing responses contribute to substantial trait variation at fine spatial scales and may decouple above‐ground and below‐ground trait responses to climate change.

Lifetime Exposure to Depression and Neuroimaging Measures of Brain Structure and Function

Despite decades of neuroimaging studies reporting brain structural and functional alterations in depression, discrepancies in findings across studies and limited convergence across meta-analyses have raised questions about the consistency and robustness of the observed brain phenotypes. To investigate the associations between 6 operational criteria of lifetime exposure to depression and functional and structural neuroimaging measures. This cross-sectional study analyzed data from a UK Biobank cohort of individuals aged 45 to 80 years who were enrolled between January 1, 2014, and December 31, 2018. Participants included individuals with a lifetime exposure to depression and matched healthy controls without indications of psychosis, mental illness, behavior disorder, and disease of the nervous system. Six operational criteria of lifetime exposure to depression were evaluated: help seeking for depression; self-reported depression; antidepressant use; depression definition by Smith et al; hospital International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes F32 and F33; and Composite International Diagnostic Interview Short Form score. Six increasingly restrictive depression definitions and groups were defined based on the 6 depression criteria, ranging from meeting only 1 criterion to meeting all 6 criteria. Data were analyzed between January and October 2022. Functional measures were calculated using voxel-wise fractional amplitude of low-frequency fluctuation (fALFF), global correlation (GCOR), and local correlation (LCOR). Structural measures were calculated using gray matter volume (GMV). The study included 20 484 individuals with lifetime depression (12 645 females [61.7%]; mean [SD] age, 63.91 [7.60] years) and 25 462 healthy controls (14 078 males [55.3%]; mean [SD] age, 65.05 [7.8] years). Across all depression criteria, individuals with lifetime depression displayed regionally consistent decreases in fALFF, LCOR, and GCOR (Cohen d range, -0.53 [95% CI, -0.88 to -0.15] to -0.04 [95% CI, -0.07 to -0.01]) but not in GMV (Cohen d range, -0.47 [95 % CI, -0.75 to -0.12] to 0.26 [95% CI, 0.15-0.37]). Hospital ICD-10 diagnosis codes F32 and F33 (median [IQR] difference in effect sizes, -0.14 [-0.17 to -0.11]) and antidepressant use (median [IQR] difference in effect sizes, -0.12 [-0.16 to -0.10]) were criteria associated with the most pronounced alterations. Results of this cross-sectional study indicate that lifetime exposure to depression was associated with robust functional changes, with a more restrictive depression definition revealing more pronounced alterations. Different inclusion criteria for depression may be associated with the substantial variation in imaging findings reported in the literature.

State of the art of the literature on definitions of self-criticism: a meta-review.

Several authors have developed important theoretical models on an important transdiagnostic factor in psychopathology: self-criticism (SC). Currently, there are substantial variations in the theoretical definition of SC. The lack of awareness of similarities and differences between models may in turn impact the comparison between empirical results, limiting their clinical implications. The purpose of this study was to identify current trends in the field of SC and to explore whether these were approached and shaped by different conceptualizations of SC. Core components of the most influential models of SC were identified. A meta-review was conducted searching for systematic reviews and/or meta-analyses in the following databases: PsycINFO, PsycARTICLES, MEDLINE, Scopus, Web of Science, and PubMed (all years up to 28 April 2023). Contributions were heterogeneous with respect to the definition of SC and the theoretical framework. Almost all systematic reviews poorly addressed the multidimensionality of SC. In addition, discrepancies between the definitions of SC provided and their operationalizations emerged. The lack of dialogue between the different theoretical perspectives emerged from key contributions in the field of SC. Potential research questions to answer to stimulate this dialogue are proposed.

Modeling the impact of future rainfall changes on the effectiveness of urban stormwater control measures

The convergence of urban expansion, deteriorating infrastructure, and a changing climate will escalate the risks of stormwater pollution and urban flooding in the coming decades. Using outputs from an ensemble of global climate models to drive a high spatial resolution stormwater model, we analyzed climate change impacts on urban stormwater runoff and control measures for 23 cities across the United States. Runoff model outputs for two future emissions scenarios ending in 2055 were compared against a historical scenario to assess changes. All cities showed increases in average annual stormwater runoff, with changes up to 30% over the next 30 years due to a greater frequency of high intensity storm events. Runoff model outputs showed substantial variation across cities with untreated stormwater runoff increasing by as much as 48%. Patterns of future runoff impacts within cities will affect the performance of distributed treatment strategies such as Green Stormwater Infrastructure (GSI) to meet municipal water quality improvement and runoff reduction goals. Results indicate that adoption of adaptable design standards and decision support tools that readily accommodate projected precipitation changes are critical for supporting more resilient designs of stormwater control measures.

Variations in Social Europe? National political parties' positions on EU‐level social regulations

AbstractHow do national political parties vary in their views on Social Europe? I focus on an aspect that has received less attention despite its growing prevalence—EU regulations with ambitions to diminish social inequality to encourage social convergence among Member States. Since the Juncker Commission, the European Commission has become increasingly active in pursuing this aspect of Social Europe. Thus, understanding parties' positions on this aspect of Social Europe has become more important. However, current literature lacks measures of national party stances towards Social Europe, and explanations for these stances. Here, I use data from the Chapel Hill Expert Survey (2006, 2009, 2014 and 2019) to develop an indirect measure of party positions on Social Europe. Leveraging studies in party politics and EU politics, I propose that party families and national economic conditions may affect parties' positions on Social Europe. The analyses suggest substantial variation in parties' positions on Social Europe both within and across party families. The analyses also demonstrate that socialist and green parties support Social Europe most, whereas radical right parties support it least. Lastly, I do not find systematic evidence that national economic conditions influence parties' support for this aspect of Social Europe.

Factors related to longevity and mortality of dogs in Italy

Besides its translational value, an improved understanding of dog longevity and mortality is necessary to guide health management decisions, breed selection, and improve dog welfare. In order to analyse the lifespan of dogs in Italy, identify the most common causes of death, and evaluate possible risk factors, anonymised medical records were collected from 9 veterinary teaching hospitals and 2 public health institutions. Data regarding breed, sex, neuter status, age, diagnosis, and mechanism of death were retrieved. Cause of death (COD) was classified by pathophysiologic process (PP) and organ system (OS). Of the 4957 dogs that died between 2004 and 2020 included in the study, 2920 (59.0%) were purebred, 2293 (46.2%) were female, 3005 (60.6%) were intact, 2883 (58.2%) were euthanised. Overall median longevity was 10.0 years. Median longevity was significantly longer for crossbreds, females, neutered dogs, and small-sized breeds. The breeds with the highest median age at death were the Yorkshire terrier, English cocker spaniel, West Highland white terrier, Italian volpino, and Shih Tzu, whilst the American bulldog, English bulldog, American pit bull terrier, Bernese mountain dog and the Maremma and the Abruzzes sheepdog had the lowest median age at death. The most frequent COD by PP was neoplasia (34.0%), which occurred more frequently in large breeds, namely German shepherd, Labrador retriever and Boxer. Degenerative diseases mostly affected small-sized dogs like Miniature pinscher and Dachshund. Regarding the OS involved, diseases of the renal/urinary system were most frequently responsible for COD (15.0%), prevalently degenerative and inflammatory/infectious. Substantial variation in median longevity according to causes of death by PP and OS was observed. These data are relevant for breeders, veterinary practitioners, and owners, to assist breed selection, facilitate early diagnosis, guide choice when purchasing a purebred dog and making health management decisions, and ultimately improve dog welfare.

Clinician Risk Tolerance and Rates of Admission From the Emergency Department

Much remains unknown about the extent of and factors that influence clinician-level variation in rates of admission from the emergency department (ED). In particular, emergency clinician risk tolerance is a potentially important attribute, but it is not well defined in terms of its association with the decision to admit. To further characterize this variation in rates of admission from the ED and to determine whether clinician risk attitudes are associated with the propensity to admit. In this observational cohort study, data were analyzed from the Massachusetts All Payer Claims Database to identify all ED visits from October 2015 through December 2017 with any form of commercial insurance or Medicaid. ED visits were then linked to treating clinicians and their risk tolerance scores obtained in a separate statewide survey to examine the association between risk tolerance and the decision to admit. Statistical analysis was performed from 2022 to 2023. The ratio between observed and projected admission rates was computed, controlling for hospital, and then plotted against the projected admission rates to find the extent of variation. Pearson correlation coefficients were then used to examine the association between the mean projected rate of admission and the difference between actual and projected rates of admission. The consistency of clinician admission practices across a range of the most common conditions resulting in admission were then assessed to understand whether admission decisions were consistent across different conditions. Finally, an assessment was made as to whether the extent of deviation from the expected admission rates at an individual level was associated with clinician risk tolerance. The study sample included 392 676 ED visits seen by 691 emergency clinicians. Among patients seen for ED visits, 221 077 (56.3%) were female, and 236 783 (60.3%) were 45 years of age or older; 178 890 visits (46.5%) were for patients insured by Medicaid, 96 947 (25.2%) were for those with commercial insurance, 71 171 (18.5%) were Medicare Part B or Medicare Advantage, and the remaining 37 702 (9.8%) were other insurance category. Of the 691 clinicians, 429 (62.6%) were male; mean (SD) age was 46.5 (9.8) years; and 72 (10.4%) were Asian, 13 (1.9%) were Black, 577 (83.5%) were White, and 29 (4.2%) were other race. Admission rates across the clinicians included ranged from 36.3% at the 25th percentile to 48.0% at the 75th percentile (median, 42.1%). Overall, there was substantial variation in admission rates across clinicians; physicians were just as likely to overadmit or underadmit across the range of projected rates of admission (Pearson correlation coefficient, 0.046 [P = .23]). There also was weak consistency in admission rates across the most common clinical conditions, with intraclass correlations ranging from 0.09 (95% CI, 0.02-0.17) for genitourinary/syncope to 0.48 (95% CI, 0.42-0.53) for cardiac/syncope. Greater clinician risk tolerance (as measured by the Risk Tolerance Scale) was associated with a statistically significant tendency to admit less than the projected admission rate (coefficient, -0.09 [P = .04]). The other scales studied revealed no significant associations. In this cohort study of ED visits from Massachusetts, there was statistically significant variation between ED clinicians in admission rates and little consistency in admission tendencies across different conditions. Admission tendencies were minimally associated with clinician innate risk tolerance as assessed by this study's measures; further research relying on a broad range of measures of risk tolerance is needed to better understand the role of clinician attitudes toward risk in explaining practice patterns and to identify additional factors that may be associated with variation at the clinician level.

Anomalous cooling of bosons by dimensional reduction.

Cold atomic gases provide a remarkable testbed to study the physics of interacting many-body quantum systems. Temperatures are necessarily nonzero, but cooling to the ultralow temperatures needed for quantum simulation purposes or even simply measuring the temperatures directly on the system can prove to be very challenging tasks. Here, we implement thermometry on strongly interacting two- and one-dimensional Bose gases with high sensitivity in the nanokelvin temperature range. Our method is aided by the fact that the decay of the first-order correlation function is very sensitive to the temperature when interactions are strong. We find that there may be a substantial temperature variation when the three-dimensional quantum gas is cut into two-dimensional slices or into one-dimensional tubes. Notably, the temperature for the one-dimensional case can be much lower than the initial temperature. Our findings show that this decrease results from the interplay of dimensional reduction and strong interactions.

Evaluation of morphological traits, biochemical parameters and seeding availability pattern among Citrus limon ‘Assam lemon’ accessions across Assam

The Assam lemon is a highly valued Citrus cultivar known for its unique aroma, flavor, and appearance. This study aimed to investigate the morphological, seeding pattern and biochemical variations within 132 populations of Assam lemon from across 22 districts of Assam along with the control samples, with the objective to offer comprehensive understanding that could facilitate the improvement of breeding programs and further improvement of this important cultivar. Clustering based on UPGMA algorithm for morphological and seeding pattern data were analysed at population level, revealed two major clusters, where all the populations of Upper Assam districts were in the same cluster with the original stock (control population). The populations from Tinsukia and Dhemaji districts displayed more close similarities with the control population in comparison to populations of Upper Assam districts. Another interesting observation was regarding flowering patterns, while populations from Upper Assam districts excluding Golaghat district displayed both bisexual and unisexual flowers with less concentration of unisexual flowers, other remaining districts had bisexual and unisexual flowers of almost equal concentration. Unisexual flowers contained only the male reproductive organs with 40 anthers, while bisexual flowers had 36 anthers. Seeding patterns were examined across the districts, and it was found that populations from Tinsukia, Dhemaji, Lakhimpur, Dibrugarh, Jorhat, and the control population exhibited seedless characteristic while populations from other selected districts displayed a combination of seedless and seeded traits. Interestingly, Golaghat district appears as the linking district and showed availability of both seeded and seedless Assam lemon fruit, connecting the regions of Barak valley, Central, Lower, North and Upper Assam. Biochemical analysis showed significant variations across districts, however, the populations from Dhemaji, Tinsukia, Lakhimpur, Dibrugarh, and Jorhat districts displayed similarity with the control population. The study also investigated variability in soil nutrient content revealing substantial variation among the populations studied. This comprehensive investigation provides valuable insights into the morphological, seeding pattern, and biochemical diversity within the Assam lemon cultivar. These findings can be instrumental in breeding programs to enhance the cultivar, particularly in producing high-quality seedless fruits to meet consumer demands.

Effect of herbal extracts as alternatives to antibiotics in the first week of age on broiler performance, serum biochemistry, and intestinal morphology under commercial farm conditions

This study was performed to show the effect of two herbal extracts as alternatives to antibiotics in the first eight days of rearing on broiler performance, serum biochemistry, and the jejunum morphology of the broiler. A total of 264, one-day Ross 308 chicks were used. They were randomly distributed into four treatments including three replicates of each. T1 was the control (nothing in drinking water), T2 had antibiotics in the drinking water (1 g/L of Gentadox), T3 had ENTERIA in the drinking water (0.5ml/L), T4 had ICEN in the drinking water (0.5ml/L). These products were administered for the first eight consecutive days of rearing. In the first seven days, there was no substantial variation in performance found in all groups. From days 8–14, T3 markedly improved body weight gain (BWG). The feed conversion ratio (FCR), thyroid hormones, total protein, and globulin were substantially improved in T3 and T4. The edible internal organs and heart percentage was substantially increased in the herbal groups. All the jejunum histology parameters, except the crypt depth, were substantially increased in T3. The T3 recorded the best bodyweight uniformity and economic efficiency compared to other groups. Similarly, the yolk sac residual at days 4 and 7 was lower in this group compared to other groups. It can be concluded that herbal extracts can replace antibiotics in improving and enhancing general broiler performance.

The management of stage I Non-Small cell lung cancer (NSCLC) in Ontario: A Population-Based study of patterns of care and Stereotactic Ablative Body radiotherapy (SABR) utilization from 2010 to 2019

BackgroundStereotactic Ablative Body Radiotherapy (SABR) is the standard of care for medically inoperable patients with Stage I NSCLC. The adoption of SABR and its association with cancer outcomes requires characterization. AimWe described the management of biopsy-proven Stage I NSCLC with SABR, surgery, non-SABR curative radiotherapy (RT) and observation in Ontario, Canada, between 2010 and 2019. Temporal and geographic trends in practice and survival outcomes were analyzed. MethodsThis was a retrospective population-based cohort study conducted by linking electronic radiotherapy (RT) records to a population-based cancer registry. ResultsA total of 12,065 patients were identified, 61.7 % underwent surgery, 17.9 % received SABR, 8.6 % received non-SABR curative RT and 11.7 % were observed. Between 2010 and 2019, the utilization of surgery decreased (63.8 % to 49.9 %, p < 0.0001), while SABR use increased (7.5 % to 24.4 %, p < 0.0001), non-SABR curative RT use increased (6.7 % to 9.6 %, p < 0.0014) and patients observed decreased (14.4 % to 12.0 %, p < 0.0001). Substantial variation in practice exists across Ontario. Two- yr CSS improved for the entire cohort (81.9 % to 85.0 %, p < 0.0001). While there was improvement in 2 yr CSS for surgical patients (92.1 %% to 95.7 %, p < 0.001), survival for patients who received SABR, Non-SABR curative RT and observation remained stable. ConclusionThere has been an increase in SABR utilization and a reduction in surgical utilization with a corresponding increased survival of stage I patients in Ontario between 2010 and 2019. Substantial differences in practice patterns exist across health regions, suggesting the need for strategies to improve access to SABR in many jurisdictions.

Phenotypic characterization of Southeastern United States open‐pollinated maize landraces

AbstractMaize (Zea mays L. subsp. mays) is the most important crop in the United States, but maize food and distillation products often rely on varieties that are not bred explicitly for these purposes. Farmers targeting niche food grain markets have expressed interest in historical open‐pollinated varieties of maize, but few such populations are widely available, and even fewer are well‐characterized. We planted field trials of 76 open‐pollinated heirloom varieties available from seed catalogs and the United States Department of Agriculture germplasm collection along with four F1 hybrid cultivars. We measured 24 traits across 3 years and three locations to characterize the selected varieties and measure their phenotypic relationships. We identified a subset of 19 traits with heritability &gt;0.5 and pairwise correlation coefficients not exceeding 0.9 for phenotypic analysis. Our results demonstrate that many historical accessions contain substantial genetic variation that should permit improvement from within‐population selection. Variety name and origin are often not useful indicators of phenotypic relationships or potential crop value, although Hickory King varieties have maintained their identity even following global dispersion. Cluster analysis identifies nine morphologically distinct groups within the varieties tested, which are largely in agreement with previously proposed landrace groupings. Our results suggest a complex intermixing of Southern Dents with other maize types, rather than a clear distinction between Southern Dents and Derived Southern Dents, however. Genetic analysis of larger samples of US open‐pollinated populations will help better define the natural classification of maize indigenous to the United States.

Evaluating pulse-reserve characteristics of Soil-Plant continuum in India using remote sensing

The pulse-reserve paradigm associated with the plant's increased water uptake following surface soil moisture pulses is not well understood in India. India has a very high spatio-temporal climate and ecological variability. Such ecological and climatological diversity makes the country-scale analysis of the pulse-reserve paradigm challenging. Here, we present the first analysis of this phenomenon using 9 years of space based passive microwave estimates of surface soil moisture and vegetation water content from both X-band and L-band. We observed from both datasets that the pulse-reserve paradigm is widespread in India across seasons and biomes. The seasonal climate in India drives the precipitation characteristics, thus uphold the pulse-reserve paradigm. The estimated Soil Moisture Threshold (SMT), at which the vegetation water content drops, has substantial spatio-temporal variations, unlike other regions worldwide. The comparisons between X-band and L-band products show significant differences in the magnitudes of soil moisture and vegetation optical depths due to inherent properties. However, most of the findings related to the pulse-reserve paradigm, specifically the sensitivity of processes on different factors, remain similar. We found a strong dependence of SMT on seasonal climate, vegetation greenness, and pulse soil moisture. The association of SMT with soil characteristics, such as clay fraction, is weak in India, contrary to global traits. Our analysis provides new insights into the plant water uptake mechanisms in India to improve the parameterization schemes for better representation of the soil–plant continuum structural and functional behavior.