Minimal Conditions Research Articles

Screening of drought tolerance indices for selection of resistance wheat (Triticum aestivum L.) landraces under drought stress conditions

Abstract During the cropping season 2016-2017, an experiment was conducted in a split plot design to study the response of 25 wheat genotypes to drought stress under irrigated and minimal irrigation conditions. Different drought tolerance indices for 25 bread wheat (Triticum aestivum L.) genotypes were evaluated. The calculation drought tolerance indices was based on the grain yield of wheat under irrigated and water stress conditions. The result indicated a significant effect of drought stress on the yield of different wheat genotypes based on mean values of different drought tolerance indices. Among the studied different indices, mean productivity (MP), stress tolerance index (STI), and geometric mean productivity (GMP) were more efficient to discriminate between drought sensitive and drought tolerant genotypes based on the calculation of correlation coefficient and multivariate analysis. Twenty-five genotypes were classified into tolerant and susceptible groups through drought tolerance indices using cluster analysis. Among the genotypes, C-306, WH 1236, WH 1235, and GW 477 having higher yields under drought conditions which showing their stability under stress conditions. The most yield stable genotypes under adverse environment were identified by multivariate analysis of drought tolerance indices individually or in combination. From the result, we concluded that GMP, MP and STI are more efficient drought tolerance indices among other indices to identify stable genotypes under stress conditions.

Mechanochemical Transformations of Pharmaceutical Cocrystals: Polymorphs and Coformer Exchange.

Transformations of solid samples under solvent-free or minimal solvent conditions set the future trend and define a modern strategy for the production of new materials. Of the various technologies tested in recent years, the mechanochemical approach seems to be the most promising.The aim of this review article is to present the current state of art in solid state research on binary systems, which have found numerous applications in the pharmaceutical and materials science industries. This article is divided into three sections. In the first part, we describe the new equipment improvements.A brief description of techniques dedicated to ex-situ and in-situ studies of progress and the mechanism of solid matter transformation is presented. In the second section, we discuss the problem of cocrystal polymorphism highlighting the issue related with correlation between mechanochemical parameters (time, temperature, energy, molar ratio,liquid assistant, surface energy, crystal size, crystal shape) and preference for the formation of requested polymorph. The last part is devoted to the description of the processes of coformer exchange in binary systems forced by mechanical and/or thermal stimuli. The influence of the thermodynamic factor on the selection of the best-suited partner for the formation of a two-component structure is presented.

The effects of minimal shoes in combination with textured and supportive insoles on spatiotemporal walking gait parameters in healthy young adults

Spatiotemporal parameters, such as speed, cadence, stride length are often adjusted to enhance stability during walking. Minimal shoes and insoles are known to impact dynamic stability, however their combined effect on such gait parameters in healthy young adults remains unexplored. This cross-sectional study assessed the effects of a minimal shoes, the combination of a minimal shoes with a textured insoles, a minimal shoes with a supportive insoles, barefoot walking and habitual shoes on stability-related spatiotemporal walking gait parameters. Sixty-two healthy young adults (41 males and 21 females, age: 24.6 ± 5.5 years, height: 1.73 ± 0.01 m, weight: 73.8 ± 14.2 kg) were assessed using a 2-minute walk test (2-MWT), and a Timed up and Go (TUG) test in a randomized order of five different footwear conditions. Measurements were made using Kinesis GaitTM and QTUGTM sensors. Repeated measures analyses of covariance were conducted to examine the effect of footwear with gender and BMI as covariates. Results revealed improvement in observed gait parameters during the 2-MWT in minimal shoes, minimal shoes with a textured insoles and minimal shoes with a supportive insoles compared to barefoot and habitual footwear. Participants covered a significantly greater distance (p < 0.05) during the 2-MWT at a self-selected speed in all three minimal shoes conditions with larger stride length and improved cadence. Significant variations (p < 0.05) were found between barefoot walking and minimal shoes conditions while participants being least stable during the barefoot walking. The use of textured or supportive insoles within the minimal shoes did not provide any additional benefits nor did it have any detrimental effect on the spatiotemporal parameters. Nevertheless, minimal shoes with or without insoles have the potential to enhance stability during walking as speed, cadence, and stride length are improved.

Sexual Function in Women With Pelvic Floor Disorders Who Have Sex with Women: A Qualitative Study

BackgroundUrogynecologic literature confirms that pelvic floor disorders are detrimental to sexual function in heterosexual women and that sexual function improves following treatment. Few data exist regarding these issues in women who have sex with women, potentially affecting patient-provider interactions, treatment choices and outcomes. ObjectiveTo describe sexual function concerns of women with pelvic floor disorders among women who have sex with women. Study DesignThis was a multi-center qualitative study conducted to explore the sexual function of women who have sex with women and to investigate how pelvic floor dysfunction affected their sexual function. A semi-structured interview guide was created to conduct one-on-one interviews via digital conferencing. The audio interviews were transcribed and deidentified. Transcripts were then analyzed with line-by-line coding by at least two independent researchers and organized into themes using a team-based approach. Interviews were conducted until thematic saturation was reached. Domains investigated included: knowledge and beliefs regarding pelvic floor disorders, impact of pelvic floor disorders on sexual function, and sexual function in general. ResultsEighteen women who have sex with women participated in cognitive interviews. Thematic saturation was reached. Participants’ average age was 49.0 (+/-16.6) years, the majority self-identified as Non-Hispanic White, were healthy with minimal chronic medical conditions, and were married or living with a partner. Four major concepts emerged from the focus groups: (1) pelvic floor disorders resulted in fear and embarrassment and negatively affected sexual function, (2) women adapted their sexual lives to accommodate PFDs, (3) partner choice & communication with that partner could ameliorate PFD effects on sexual function, and (4) women shared impressions potentially affecting future sexual function research and clinical care of women who have sex with women; a need for broader interpretation of sexual activity, the importance of non-judgment and recognition of potential history of sexual trauma. ConclusionA major theme reported by women with pelvic floor disorders who have sex with women mirrored those of heterosexual women; fear and embarrassment regarding their pelvic floor disorders and their effect on sexual function. These women also voiced novel viewpoints regarding sexual function and amelioration of pelvic floor disorder effects on sexual activity by partner choice and partner communication. Novel issues that could affect future sexual function research and clinical care of women who have sex with women include broadening the definition of sexual activity and emphasizing the importance of non-judgmental and trauma-informed care.

Structural and molecular modifications of woody biomass under minimal torrefaction conditions toward making durable pellets

Extensive research has been published on pelletizing severely torrefied biomass with the aid of binders, but limited studies have investigated the structural modifications of biomass during mild torrefaction. This study investigates the effects of several combinations of minimal torrefaction temperatures (230°C and 250°C) and relatively short durations (10, 15, and 30 minutes) on the thermophysical and molecular structure of the model woody biomass loblolly pine (Pinus Taeda) residues. The low severity treated biomass is compared with the untreated biomass and the biomass torrefied at 270°C for 30 minutes. Structural characterization methods include laser diffraction for particle size distribution and Brunauer-Emmett-Teller (BET) analysis to evaluate specific surface area. Additionally, FTIR, XRD, and TGA are used to assess changes in crystallinity and thermochemical composition. The woody residue torrefied at 250°C for 10 minutes exhibited a higher BET surface area (4.7 m²/g) than torrefied at 250°C for 15 minutes (3.5 m²/g). At a constant temperature of 250°C, the crystallinity index increases with the treatment duration, emphasizing the effect of time on retaining more hydroxyl groups that may act as binders for pelletization. This study demonstrates that minimizing the combination of torrefaction time and temperature can help control the degree of biomass molecular structure degradation thus minimizing overall mass loss, offering potential applications in the emerging biocarbon pellet industry.

Monitoring river discharge from space: An optimization approach with uncertainty quantification for small ungauged rivers

The number of in-situ stations measuring river discharge, one of the Essential Climate Variables (ECV), is declining steadily, and numerous basins have never been gauged. With the aim of improving data availability worldwide, we propose an easily applicable and transferable approach to estimate reach-scale discharge solely using remote sensing data that is suitable for filling gaps in the in-situ network. We combine 20 years of satellite altimetry observations with high-resolution satellite imagery via a hypsometric function to observe large portions of the reach-scale bathymetry. The high-resolution satellite images, which are classified using deep learning image segmentation, allow for detecting small rivers (narrower than 100m) and can capture small width variations. The unobserved part of the bathymetry is estimated using an empirical width-to-depth function. Combined with precise satellite-derived slope measurements, river discharge is calculated at multiple consecutive cross-sections within the reach. The unknown roughness coefficient is optimized by minimizing the discharge differences between the cross-sections. The approach requires minimal input and approximate boundary conditions based on expert knowledge but is not dependent on calibration. We provide realistic uncertainties, which are crucial for data assimilation, by accounting for errors and uncertainties in the different input quantities. The approach is applied globally to 27 river sections with a median normalized root mean square error of 12% and a Nash–Sutcliffe model efficiency of 0.560. On average, the 90% uncertainty range includes 91% of the in-situ measurements.

Evaluating the Efficiency of Capital Enhancement and Investment Constraints in Life Insurance Supervision

Abstract This study addresses the critical public concern of effectively mitigating solvency risks in insurance companies through supervisory intervention. Building upon existing research, we extend our analysis to incorporate the effects of foreign investment and examine the impact of varying degrees of risk aversion among insurers. Furthermore, we investigate the optimal expected terminal utility in relation to initial insurance company premiums, integrating interest and exchange rates into our analytical framework. Additionally, we evaluate the impact of regulatory interventions, specifically capital injection schemes and risk-constrained asset allocation, on insurers’ default risk and certainty equivalent wealth using a utility-based approach. Our findings indicate that: (1) when policyholders exhibit higher degrees of risk aversion, a reduced propensity to allocate funds to riskier assets, such as stock index funds and foreign assets, is observed; (2) when exchange rates offer higher returns, an increased allocation to foreign assets is advisable; (3) conversely, when exchange rate returns exhibit greater uncertainty, a reduction in foreign asset allocation is recommended; (4) in scenarios where foreign risk-free rates yield higher returns, an increased allocation to foreign assets is suggested; and (5) under conditions of capital minimization, the influence of exchange rates and foreign interest rates on optimization becomes less discernible.

School conditions and principal practices promoting instructional data use in high-stakes accountability systems

This study explores how school environments and principal behaviors enhance the use of data within Chile's high-stakes accountability systems. Emphasizing the importance of Data-Driven Decision Making (DDDM) for improving educational outcomes, this mixed-methods research analyzed data employment for accountability, improvement, and instructional purposes. Findings show that schools prioritize data use for enhancing instruction and school improvement over mere compliance with external accountability. Key leadership behaviors, notably instructional leadership, are crucial in promoting effective data utilization. The study identifies both minimal and organizational conditions as critical enablers for data use, although their impact varies with the type of data employed. The results advocate for a balanced approach that considers both quantitative and qualitative factors to optimize data use in educational settings. Future research should delve deeper into specific instructional practices and the factors that influence teacher decision-making to further improve data-driven instruction.

Online Counseling Encourages Openness to Help Individuals Dealing with Psychological Disorders

Online counseling can be used to help individuals maintain their mental health. There is a need to test the feasibility and effectiveness of online counseling in treating individuals who experience psychological disorders. The research was carried out through one of the pre-experimental design models, i.e one group pretest-posttest. Participants were twelve individuals consisting of students and communities who were experiencing psychological distress in severe and chronic status who were willing to participate in online counseling programs. Online counseling is administrated through a synchronous and asynchronous format. Feasibility is statistically established based on data on the client’s comfort to express himself and his involvement in the counseling process. The technique used is a percentile with a percentile of 75 (P75) as a minimal condition. Data on convenience is measured quantitatively through scale and engagement data is measured quantitatively based on counseling documents. The effectiveness of counseling is statistically established on the basis of whether or not there is a significant decrease in the status of the client's psychological disorder. The statistical technique used is the t test for correlated samples. Psychological disorders are defined as stress, anxiety, and depression which is being experienced by the client and measured through DASS-21 (depression, anxiety, stress scale version 21 items) in Indonesian version. The study produced two main findings as follows.: (1) online counseling can strongly encourage self-exploration and client engagement; and (2) online counseling is significantly effective in lowering the status of the client's psychological disorders, although the rate of decline in this status is varied between clients.

A streamlined culturomics case study for the human gut microbiota research

Bacterial culturomics is a set of techniques to isolate and identify live bacteria from complex microbial ecosystems. Despite its potential to revolutionize microbiome research, bacterial culturomics has significant challenges when applied to human gut microbiome studies due to its labor-intensive nature. Therefore, we established a streamlined culturomics approach with minimal culture conditions for stool sample preincubation. We evaluated the suitability of non-selective medium candidates for maintaining microbial diversity during a 30-day incubation period based on 16S rRNA gene amplicon analysis. Subsequently, we applied four culture conditions (two preincubation media under an aerobic/anaerobic atmosphere) to isolate gut bacteria on a large scale from eight stool samples of healthy humans. We identified 8141 isolates, classified into 263 bacterial species, including 12 novel species candidates. Our analysis of cultivation efficiency revealed that seven days of aerobic and ten days of anaerobic incubation captured approximately 91% and 95% of the identified species within each condition, respectively, with a synergistic effect confirmed when selected preincubation media were combined. Moreover, our culturomics findings expanded the coverage of gut microbial diversity compared to 16S rRNA gene amplicon sequencing results. In conclusion, this study demonstrated the potential of a streamlined culturomics approach for the efficient isolation of gut bacteria from human stool samples. This approach might pave the way for the broader adoption of culturomics in human gut microbiome studies, ultimately leading to a more comprehensive understanding of this complex microbial ecosystem.

On the structure of left braces satisfying the minimal condition for subbraces

We analyse the structure of infinite weakly soluble left braces that satisfy the minimal condition for subbraces. We observe that they can be characterised as the left braces with Chernikov additive group. We also present an example of left braces satisfying the minimal condition for ideals, but that do not satisfy the minimal condition for subbraces.

Efficient learning with projected histograms

High dimensional learning is a perennial problem due to challenges posed by the “curse of dimensionality”; learning typically demands more computing resources as well as more training data. In differentially private (DP) settings, this is further exacerbated by noise that needs adding to each dimension to achieve the required privacy. In this paper, we present a surprisingly simple approach to address all of these concerns at once, based on histograms constructed on a low-dimensional random projection (RP) of the data. Our approach exploits RP to take advantage of hidden low-dimensional structures in the data, yielding both computational efficiency, and improved error convergence with respect to the sample size—whereby less training data suffice for learning. We also propose a variant for efficient differentially private (DP) classification that further exploits the data-oblivious nature of both the histogram construction and the RP based dimensionality reduction, resulting in an efficient management of the privacy budget. We present a detailed and rigorous theoretical analysis of generalisation of our algorithms in several settings, showing that our approach is able to exploit low-dimensional structure of the data, ameliorates the ill-effects of noise required for privacy, and has good generalisation under minimal conditions. We also corroborate our findings experimentally, and demonstrate that our algorithms achieve competitive classification accuracy in both non-private and private settings.

On the modulus of continuity of solutions to nonlocal parabolic equations

AbstractA general modulus of continuity is quantified for locally bounded, local, weak solutions to nonlocal parabolic equations, under a minimal tail condition. Hölder modulus of continuity is then deduced under a slightly stronger tail condition. These regularity estimates are demonstrated under the framework of nonlocal ‐Laplacian with measurable kernels.

Critical Permeability from Resummation

Special calculation methods are presented for critical indices and amplitudes for the permeability of thin wavy channels dependent on the waviness. The effective permeability and wetted perimeter of the two-dimensional random percolating media are considered as well. A special mathematical framework is developed to characterize the dependencies on porosities, critical points, and indices. Various approximation techniques are applied without involving popular lubrication approximation in any sense. In particular, the Borel summation technique is applied to the effective polynomial approximations with or without optimization. Minimal difference and minimal derivative optimal conditions are adapted to calculations of critical indices and amplitudes for the effective permeability of thin wavy channels. Critical indices, amplitudes, and thresholds are obtained for the effective permeability and wetted perimeter of the two-dimensional percolating random media. Closed-form expressions for all porosities, critical points, and indices are calculated from the polynomial approximations for the first time.

Desi chickpea flaking: Impact of processing parameters on flake quality

This study explores the novel production dependent characteristics of ready-to-eat whole pulse flakes from desi chickpea splits. The research investigates a three-stage process: minimal live steam conditioning, precise rolling, and rapid fluidised bed drying. Effects of steam time (1, 3, 5 min), roller gap (0.5–0.8 mm, 0.8–1.3 mm), and drying temperature (150 °C, 200 °C) on flake quality were examined. These conditions altered flake appearance, with optimal roller settings maintaining the aspect ratio within 10% of the original split. Steam time increased starch gelatinisation by 21–31%, while longer steaming and wider roller gaps decreased water absorption, improving bowl life. Drying at 200 °C accelerated moisture loss, reducing durability of 5-min steamed flakes. The study demonstrates that tailored processing can yield viable chickpea flakes comparable to whole grain cereals. These findings have significant implications for the food processing industry, offering a pathway to develop nutritious, pulse-based ready-to-eat products.

Characterizations of minimal elements of upper support with applications in minimizing DC functions

Abstract In this study, we discuss on the problem of minimizing the differences of two non-positive valued increasing, co-radiant and quasi-concave (ICRQC) functions defined on X X (where X X is a real locally convex topological vector space). For this purpose, we first gave different characterizations of the upper support set’s minimal elements of non-positive co-radiant functions. Then, we presented sufficient and necessary conditions for the global minimizers of the differences of two non-positive ICRQC functions.

CRP improves the survival and competitive fitness of Salmonella Typhimurium under starvation by controlling the cellular maintenance rate.

Catabolite repression is a mechanism of selectively utilizing preferred nutrient sources by redirecting the metabolic pathways. Therefore, it prevents non-essential energy expenditure by repressing the genes and proteins involved in the metabolism of other less favored nutrient sources. Catabolite repressor protein (CRP) is a chief mediator of catabolite repression in microorganisms. In this context, we investigated the role of CRP in starvation tolerance, at both cell physiology and molecular level, by comparing the growth, survival, competitive fitness, maintenance rate, and gene and protein expression of wild type (WT) and ∆crp of Salmonella Typhimurium, under nutrient-rich and minimal medium condition. The ∆crp shows slow growth upon the arrival of nutrient-limiting conditions, poor survival under prolong-starvation, and inability to compete with its counterpart WT strain in nutrient-rich [Luria broth (LB)] and glucose-supplemented M9 minimal medium. Surprisingly, we observed that the survival and competitive fitness of ∆crp are influenced by the composition of the growth medium. Consequently, compared to the glucose-supplemented M9 medium, ∆crp shows faster death and a higher maintenance rate in the LB medium. The comparative gene and protein expression studies of WT and ∆crp in LB medium show that ∆crp has partial or complete loss of repression from CRP-controlled genes, resulting in a high abundance of hundreds of proteins in ∆crp compared to WT. Subsequently, the addition of metabolizable sugar or fresh nutrients to the competing culture showed extended survival of ∆crp. Therefore, our results suggest that CRP-mediated gene repression improves starvation tolerance and competitive fitness of Salmonella Typhimurium by adapting its cellular maintenance rate to environmental conditions.IMPORTANCESalmonella Typhimurium is a master at adapting to chronic starvation conditions. However, the molecular mechanisms to adapt to such conditions are still unknown. In this context, we have evaluated the role of catabolite repressor protein (CRP), a dual transcriptional regulator, in providing survival and competitive fitness under starvation conditions. Also, it showed an association between CRP and nutrient composition. We observed that Δcrp growing on alternate carbon sources has lower survival and competitive fitness than Δcrp growing on glucose as a carbon source. We observed that this is due to the loss of repression from the glucose and CRP-controlled genes, resulting in elevated cellular metabolism (a high maintenance rate) of the Δcrp during growth in a medium having a carbon source other than glucose (e.g., Luria broth medium).

An unbounded operator theory approach to lower frame and Riesz-Fischer sequences

Frames and orthonormal bases are important concepts in functional analysis and linear algebra. They are naturally linked to bounded operators. To describe unbounded operators those sequences might not be well suited. This has already been noted by von Neumann in the 1920ies. But modern frame theory also investigates other sequences, including those that are not naturally linked to bounded operators. The focus of this manuscript will be two such kind of sequences: lower frame and Riesz-Fischer sequences. We will discuss the inter-relation of those sequences. We will fill a hole existing in the literature regarding the classification of these sequences by their synthesis operator. We will use the idea of generalized frame operator and Gram matrix and extend it. We will use that to show properties for canonical duals for lower frame sequences, such as a minimality condition regarding its coefficients. We will also show that other results that are known for frames can be generalized to lower frame sequences. Finally, we show that the converse of a well-known result is true, i.e. that minimal lower frame sequences are equivalent to complete Riesz-Fischer sequences, without any further assumptions.To be able to tackle these tasks, we had to revisit the concept of invertibility (in particular for non-closed operators). In addition, we are able to define a particular adjoint, which is uniquely defined for any operator.

On the Inclusion Relations of Global Ultradifferentiable Classes Defined by Weight Matrices

We study and characterize the inclusion relations of global classes in the general weight matrix framework in terms of growth relations for the defining weight matrices. We consider the Roumieu and Beurling cases, and as a particular case, we also treat the classical weight function and weight sequence cases. Moreover, we construct a weight sequence which is oscillating around any weight sequence which satisfies some minimal conditions and, in particular, around the critical weight sequence (p!)1/2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$(p!)^{1/2}$$\\end{document}, related with the non-triviality of the classes. Finally, we also obtain comparison results both on classes defined by weight functions that can be defined by weight sequences and conversely.

On preferences and reward policies over rankings

We study the rational preferences of agents participating in a mechanism whose outcome is a ranking (i.e., a weak order) among participants. We propose a set of self-interest axioms corresponding to different ways for participants to compare rankings. These axioms vary from minimal conditions that most participants can be expected to agree on, to more demanding requirements that apply to specific scenarios. Then, we analyze the theories that can be obtained by combining the previous axioms and characterize their mutual relationships, revealing a rich hierarchical structure. After this broad investigation on preferences over rankings, we consider the case where the mechanism can distribute a fixed monetary reward to the participants in a fair way (that is, depending only on the anonymized output ranking). We show that such mechanisms can induce specific classes of preferences by suitably choosing the assigned rewards, even in the absence of tie breaking.