Selection Principle Research Articles

Research Progress on the Regulation Methods for Selective Separation and Precise Control of Two-dimensional (2D) Lamellar Membranes

Selective separation and precise control of the structure and surface characterization for two-dimensional (2D) membranes is the key technology that requires to be revealed for further development of the material in practical application. Current researches focus on the cross-linking and modification of single nanosheet to improve and manipulate the performance of 2D lamellar membranes. In this paper, the selectivity principles such as size exclusion, charge properties, and surface chemical affinity in the separation process of 2D membranes were comprehensively and systematically reviewed, as well as the preparation of hybrid membranes combining the advantages of various raw materials. We also analyzed the practical application for the separation principles in relevant researches and discussed the development directions of 2D membranes. These inductions have certain summary and guiding significance for the selective regulation and goal-oriented design of 2D membranes.

Investigating the effects of formulation variables on the disintegration of spray dried amorphous solid dispersion tablets

Amorphous solid dispersion (ASD) tablets based on hydrophilic polymer carriers may encounter disintegration challenges. In this work, the effect of different formulation composition variables on the ASD tablet disintegration performance was systematically studied. GDC-0334: copovidone (PVPVA) 60: 40 ASD prepared by spray drying was selected as the model ASD system. The effects of ASD loading, filler type and ratio, disintegrant type and level were then investigated using tablets made by direct compression process. Tablet disintegration time increased with the increase of ASD loading, especially when ASD loading exceeded 50 %. At the same tablet solid fraction, when lactose was used as the soluble filler, faster tablet disintegration was observed compared to the tablets with mannitol as the soluble filler. Among the three tested disintegrants, croscarmellose sodium performed the best in facilitating the ASD tablet disintegration, followed by sodium starch glycolate, and crospovidone was the poorest. When croscarmellose sodium was used as the disintegrant, 5 % level was sufficient to enable ASD tablet disintegration at 60 % ASD loading and further increase of croscarmellose sodium level to 8 % did not provide additional benefit. Water uptake experiments were performed on selected tablets and the results demonstrated a positive correlation with tablet disintegration time, indicating water penetration is a major contributing step for the disintegration of our ASD tablets. Overall, this work provides a rationale for excipient selection and insights into building a platform formulation approach for developing immediate-release ASD tablets.

MA and three Fréchet spaces

M. Scheepers introduced the notion of selectively separable as one of many interesting selection principles. Fréchet spaces are known to be selectively separable but neither of these properties is well-behaved in products, even for countable spaces. We prove that the open coloring axiom, OCA, implies that the product of two countable Fréchet spaces is selectively separable. We prove that Martin's Axiom implies there are three countable Fréchet spaces whose product is not selectively separable.

Active protection scheme based on high‐frequency current for distribution networks with inverter‐interfaced distributed generators

AbstractWith the high penetration and flexible access of inverter‐interfaced distributed generators (IIDGs), it is gradually becoming difficult for traditional protection schemes to meet the requirements for the safe operation of distribution networks (DNs). Active protection schemes based on power electronic equipment provide a new approach. On the basis of the controllability of voltage source converters, a method for active high‐frequency signal injection and a selection principle for the corresponding control parameters are proposed. Considering the impact of T‐connected load branches on the protected line, the high‐frequency current characteristics at the three terminals during internal and external faults are analysed. On this basis, an active protection scheme based on high‐frequency current is proposed for DNs with IIDGs. The performance of the proposed scheme is verified via PSCAD/EMTDC simulation software. The test results show that the proposed scheme can reliably trip during internal faults and identify faulty phases, which has better endurance to fault resistance.

Lower extremity osseointegration — a review of the current experiences and expectations

Transcutaneous osseointegration for amputees (TOFA), an alternative approach to limb-loss rehabilitation, offers an enhanced quality of life and mobility, overcoming some challenges associated with amputation. This review presents evolution, surgical techniques, patient selection principles, and outcomes associated with TOFA. Notable points include the recognition that press-fit osseointegration techniques and implants achieve the quality of life and mobility improvements with a single surgical episode. Infection remains the most common adverse event, but uncommonly requires additional surgery, and rarely requires implant removal. Press-fit osseointegration has proven suitable for rehabilitating a broad range of patients with pelvic, transfemoral, or transtibial amputation performed to manage trauma, cancer, infection, chronic pain, and deformity. This technigue is safe for patients with vascular disease, diabetes mellitus, short residual bones, and osteoporotic residual bones. This article serves as a central resource for understanding the principles and techniques of osseointegration.

Promoting Cathodic Kinetics and Anodic Stability in Practical Room-Temperature Sodium-Sulfur Batteries with Bifunctional Electrolytes.

The development of room-temperature (RT) sodium-sulfur (Na-S) batteries is severely hindered due to the slow kinetics of the S cathode and the instability of the Na-metal anode. To overcome this, we introduced a dual-functional electrolyte cosolvent, trifluoromethanesulfonamide (TFMSA). Short-chain Na2Sx (1 ≤ x ≤ 2) can be effectively dissolved due to the strong H-S bond interaction between TFMSA and sulfides, which changes the S conversion process, thereby effectively enhancing the conversion kinetics of the cathode. Meanwhile, TFMSA can generate a stable solid electrolyte interphase on the Na-metal surface to protect it from soluble polysulfide attack. Therefore, the RT Na-S batteries using the ether electrolyte show a high initial discharge capacity of 896.6 mAh g-1 and a capacity retention rate of 73% after 150 cycles at 0.2C, and the pouch cell also demonstrates its practical performance. This work proposes a dual-functional electrolyte cosolvent selection principle to inspire the practical application of high-performance RT Na-S batteries.

Principles of song selection at the initial stage of teaching Russian as a foreign language

The present study is devoted to a practical problem – the analysis of the factors determining the choice of an authentic song composition for classes in Russian as a foreign language at the university at the initial stage of education (levels A1–A2). The relevance of the work is due to the need to clarify and rank the various principles of selection of original Russian-language songs highlighted in scientific and methodological literature in relation to elementary and basic levels of language proficiency. The purpose of the study is to determine the key and optional requirements for Russian-language song material for work at the initial stage of training. The achievement of this goal is carried out using methods of theoretical analysis and generalization of scientific and methodological literature, as well as through comparative phonetic analysis and the technique of highlighting linguistic and communicative dominants in authentic works of different levels of linguistic complexity. Based on the generalization of scientific and methodological literature, linguistic, communicative, methodological, regional, psychological and technical criteria for the selection of song material were identified. Of these, the key for the initial stage of learning are lexical and grammatical potential and compliance with the language level, coupled with methodological expediency and emotional and motivational impact; an auxiliary, optional role is played by the problematic nature of the text and the presence of a plot, regional value, educational significance, intertextuality. Phonetic and communicative potential do not require special attention, since any authentic songs have this kind of material, which is proved during a comparative analysis of linguistic and communicative dominants and the phonetic potential of works of different levels of linguistic complexity. The practical significance of the study lies in simplifying the methodology for selecting authentic song material for classes in Russian as a foreign language at the initial stage of study at a university. Настоящее исследование посвящено практической проблеме – анализу факторов, определяющих выбор аутентичного песенного произведения для занятий по русскому языку как иностранному в вузе на начальном этапе обучения (уровни А1–А2). Актуальность работы обусловлена необходимостью уточнения и ранжирования выделенных в научной и методической литературе разнообразных принципов отбора оригинальных русскоязычных песен применительно к элементарному и базовому уровням владения языком. Целью исследования является определение ключевых и факультативных требований к русскоязычному песенному материалу для работы на начальном этапе обучения. Достижение поставленной цели осуществляется с привлечением методов теоретического анализа и обобщения научно-методической литературы, а также посредством сопоставительного фонетического анализа и приема выделения лингвокоммуникативных доминант в аутентичных произведениях разного уровня языковой сложности. На основе обобщения научно-методической литературы были выделены языковые, коммуникативные, методические, страноведческие, психологические и технические критерии отбора песенного материала. Из них ключевыми для начального этапа обучения являются лексико-грамматический потенциал и соответствие языковому уровню вкупе с методической целесообразностью и эмоционально-мотивационным воздействием; вспомогательную, факультативную роль играют проблемность текста и наличие сюжета, страноведческая ценность, воспитательное значение, интертекстуальность. Не требуют специального внимания фонетический и коммуникативный потенциал, поскольку такого рода материалом обладают любые аутентичные песни, что доказано в ходе сопоставительного анализа лингвокоммуникативных доминант и фонетического потенциала произведений разного уровня языковой сложности. Практическая значимость исследования заключается в упрощении методики отбора аутентичного песенного материала для занятий по русскому языку как иностранному на начальном этапе обучения в вузе.

Rethinking the pathogenesis of endometriosis: Complex interactions of genomic, epigenetic, and environmental factors.

Endometriosis is a complex, multifactorial disease. Recent advances in molecular biology underscore that somatic mutations within the epithelial component of the normal endometrium, alongside aberrant epigenetic alterations within endometrial stromal cells, may serve as stimulators for the proliferation of endometriotic tissue within the peritoneal cavity. Nevertheless, pivotal inquiries persist: the deterministic factors driving endometriosis development in certain women while sparing others, notwithstanding comparable experiences of retrograde menstruation. Within this review, we endeavor to synopsize the current understanding of diverse pathophysiologic mechanisms underlying the initiation and progression of endometriosis and delineate avenues for future research. A literature search without time restriction was conducted utilizing PubMed and Google Scholar. Given that aberrant clonal expansion stemming from cancer-associated mutations is common in normal endometrial tissue, only endometrial cells harboring mutations imparting proliferative advantages may be selected for survival outside the uterus. Endometriotic cells capable of engendering metabolic plasticity and modulating mitochondrial dynamics, thereby orchestrating responses to hypoxia, oxidative stress, inflammation, hormonal stimuli, and immune surveillance, and adeptly acclimating to their harsh surroundings, stand a chance at viability. The genesis of endometriosis appears to reflect the evolutionary principles of mutation, selection, clonal expansion, and adaptation to the environment.

Formation mechanism and clinical application of "using emptiness as acupoints" based on the Jingjin theory

Throughout history, physicians have emphasized "using pain as acupoints" as an important reference and principle for acupuncture point selection. However, the formation mechanism and significance of clinical application of the feeling of emptiness during acupoint palpation have been less explored. This paper summarizes this phenomenon as "using emptiness as acupoints," and analyzes and discusses its meaning, formation mechanism, and clinical application. It proposes a systematic and comprehensive theoretical system for Jingjin diagnosis and treatment, combining "using emptiness as acupoints " with "using pain as acupoints", "using comfort as acupoints" and "using knots as acupoints", as well as "knotted Jingjin lesion points" and "scattered Jingjin lesion points," and integrating the patient's subjective sensations with the physician's palpation feelings. This approach aimes to provide new insights for the clinical treatment of Jingjin diseases.

A User-Driven Framework for Dose Selection inPregnancy: Proof of Concept for Sertraline.

Despite growing knowledge of pregnancy-induced changes in physiology that may alter maternal and fetal pharmacokinetics, evidence-based antenatal doses are lacking for most drugs. Pharmacokinetic modeling and expanding clinical data in pregnancy may support antenatal doses. We aimed to develop and pilot a comprehensive and user-driven Framework for Dose Selection in Pregnancy to support the clinical implementation of a best-evidence antenatal dose for sertraline. After initial development and evaluation by experts, the framework prototype was piloted to formulate an antenatal dosing strategy for sertraline in depression and anxiety disorders. Next, the framework was reviewed and assessed for usability by a multidisciplinary working committee of end-users comprising healthcare practitioners, experts from other disciplines including pharmacometrics, reproductive toxicology and medical ethics, alongside pregnant women and a partner. The resulting framework encompasses the following: rationale for drug selection, a comprehensive analysis of pharmacokinetic and dose-related efficacy and safety data, and implementation aspects including feasibility and desirability of the recommended antenatal dose based on a structured maternal and fetal benefit-risk assessment. An antenatal dose recommendation for sertraline, as a case study, was formulated using this approach and endorsed for clinical use by the working committee. Future applications of the framework for other drugs can further demonstrate its suitability for developing best evidence, acceptable and clinically feasible antenatal doses.

Optimizing Agricultural Mechanization to Enhance The Efficiency and Productivity of Farming In Indonesia: A Review

Agricultural mechanization has emerged as a cornerstone of modernizing the agricultural sector in Indonesia, playing a pivotal role in enhancing productivity and efficiency. The growing population and the necessity for increased agricultural output have driven the adoption of mechanization to overcome challenges such as labor shortages and the adverse effects of climate anomalies. The introduction of agricultural equipment follows a selective principle by considering the local area's socioeconomic conditions. Future agricultural mechanization utilizes technologies based on weather analysis, soil sensor information, and satellite and drone imaging that can increase agricultural productivity. Precision agriculture innovation to improve the accuracy of farm business management is carried out by utilizing sensor systems, drones, remote sensing, digital technology, and the Internet of Things (IoT) to collect, process, and present data that smart farming systems will use. Integrated information system innovations for the supply chain are designed to bridge farmers, distributors, markets, and end buyers by utilizing mobile applications. The traditional to modern transition process and the implementation of smart digital farming require mentoring and field learning in the agricultural process from upstream to downstream. This review provides a comprehensive overview of the development, challenges, opportunities, and prospects of agricultural mechanization in Indonesia, offering insights into how these efforts can support the country's economic growth and food security. Materials were prepared from various sources, including development planning documentation program reports, evaluation, and critical analysis of different research results.

Star γ Covers and Their Applications to Selection Principles

Abstract By imposing the star operator on γ covers, we establish the notion of st-γ covers. The interrelationships among many recent variants of γ covers have been identified, and various counterexamples have been shown to distinguish them. An investigation has been conducted on the basic topological attributes of these covers. We have also examined the implications between various selection principles and topological games in the context of the class of st-γ coverings.

Patient Factors Associated With Reimplantation After Girdlestone Resection Arthroplasty for Treatment of Periprosthetic Joint Infections of the Hip.

For patients unsuitable for prosthesis reimplantation or temporary spacer placement, Girdlestone resection arthroplasty (GRA) is a suitable option to eliminate infection. Using a large-scale database, this study aims to determine factors associated with reimplantation. This study included patients who underwent GRA and subsequent total hip arthroplasty (2012 to 2015 Medicare Limited Data Set with ≥5-year follow-up). A mixed-effects model measured associations between patient characteristics and reimplantation. Odds ratios (OR) with 95% confidence intervals (CI) were reported. Among 2,772 GRA cases, 2,025 (73.1%) were reimplanted (median time to reimplantation 3.0 months). In multivariable analysis, patient factors associated with reduced odds of reimplantation were increased age (OR 0.96; CI, 0.94 to 0.97; P < 0.0001), Black race (OR, 0.58; CI, 0.37 to 0.90; P = 0.0149), obesity (OR, 0.74; CI, 0.58 to 0.94; P = 0.0150), and increased Deyo-Charlson comorbidities (1 comorbidity: OR, 0.78; CI, 0.61 to 0.99; P = 0.0453; two comorbidities: OR, 0.53; CI, 0.39 to 0.71; P < 0.0001; ≥3 comorbidities: OR, 0.69; CI, 0.49 to 0.95; P = 0.0244). Male (versus female) patients, however, had increased odds of reimplantation (OR, 1.64; CI, 1.32 to 2.02; P < 0.0001). Age, race, and comorbidities influence the likelihood of reimplantation after GRA. Owing to variability in patients who undergo additional surgery, additional studies should be conducted to determine the rationale of patient selection.

P-doped RuSe2 on Porous N-Doped Carbon Matrix as Catalysts for Accelerated Sulfur Redox Reactions.

Monocomponent catalysts exhibit the limited catalytic conversion of polysulfides due to their intrinsic electronic structure, but their catalytic activity can be improved by introducing heteroatoms to regulate its electronic structure. However, the rational selection principles of doping elements remain unclear. Here, we are guided by theoretical calculations to select the suitable doping elements based on the balanced relationship between the adsorption strength of lithium polysulfides (LiPSs) and catalytic activity of lithium sulfide. We apply the screening method to develop a new catalyst of phosphorus doped RuSe2, manifesting the further enhanced conductivity compared with original RuSe2, facilitating charge transfer and further modulating the d-band center of RuSe2, thereby augmenting its effectiveness in interacting with LiPSs. Consequently, the assembled cell exhibits an areal capacity of 7.7 mAh cm-2, even under high sulfur loading of 8.0 mg cm-2 and a lean electrolyte condition (5.0 μL mg-1). This rational screening strategy offers a robust solution for the design of advanced catalysts in the field of lithium-sulfur batteries and potentially other domains as well.

Research on the Application of Cushion and Isolation Materials in Protecting the over Shield Tunnel

The portal frame, as an innovative subway protection structure, primarily serves the development of underground spaces above shield tunneling for subways. It comprises foundation piles along both sides of the tunnel and a transition thick plate. When the transfer thick plate sustains loads at its midspan, deformation occurs, interacting with the underlying soil to generate additional stresses, thereby potentially impacting the subway tunnel beneath negatively. This study, anchored in the real-case scenario of Qianhai Exchange Square, employs finite element analysis to investigate the interaction mechanisms between the transfer thick plate under midspan loading and soils of varying properties. Findings revealed a characteristic distribution pattern of additional stresses in the soil—smaller at the edges and larger at the center. Furthermore, under equal loading conditions, there&amp;apos;s a positive correlation between soil stiffness and induced additional stress, while an inverse relationship exists with the vertical deformation of the transfer thick plate. In response to this issue, the paper innovatively proposes embedding a cushioning and isolation layer under the transfer thick plate. Based on the results of full-scale tunnel tests carried out during the early stages of the project, and by employing high-precision finite element simulations, the bearing capacity of the tunnel was determined. This analysis, in turn, informed the formulation of selection principles for the cushioning and isolation materials in a feedback manner. Computational verifications showed that appropriately designing the cushioning and isolation layer can significantly reduce additional stresses in the foundation soil, thereby effectively alleviating the impact of concentrated upper loads on the shield tunnel.

Biopharmaceutical studies of a novel sedative sublingual lozenge based on glycine and tryptophan: A rationale for mucoadhesive agent selection

Effective sedative drugs are in great demand due to increasing incidence of nervous disorders. The present work was aimed to develop a novel sublingual sedative drug based on glycine and L-tryptophan amino acids. Carbopol and different hydroxypropyl methylcellulose species were alternatively tested as mucoadhesive agents intended to prolong tryptophan sublingual release time. A model lipid medium of fully hydrated L-α-dimyristoylphosphatidylcholine was used for optimal mucoadhesive agents selection. Simultaneous processes of drug release and diffusion in lipid medium were first investigated involving both experimental and theoretical approaches. Individual substances, their selected combinations as well as different drug formulations were consecutively examined. Application of kinetic differential scanning calorimetry method allowed us to reveal a number of specific drug-excipient effects. Lactose was found to essentially facilitate tryptophan release and provide its ability to get into the bloodstream simultaneously with glycine, which is necessary to achieve glycine-tryptophan synergism. Introduction of a mucoadhesive agent into the formulation was shown to change kinetics of drug-membrane interactions variously depending on viscosity grade. Among the mucoadhesive agents, hydroxypropyl methylcellulose species K4M and E4M were shown to further accelerate drug release, therefore they were selected as optimal. Thus, effectiveness of the novel sedative drug was provided by including some excipients, such as lactose and the selected mucoadhesive agent species. A dynamic mathematical model was developed properly describing release and diffusion in lipid medium of various drug substances. Our study clearly showed applicability of a lipid medium to meet challenges such as drug-excipient interactions and optimization of drug formulations.

Novel selection of recycled PET surrogates based on non-targeted screening of non-intentionally added substances and chemometrics

Waste PET is utilized to produce recycled PET (rPET) through bottle-to-bottle recycling in order to reduce environmental pollution. However, non-intentionally added substances (NIAS) may be generated during rPET production, potentially posing a threat to food safety. In this study, a non-target screening of 13 batches with a total of 39 rPET samples was performed using GC-QTOF-MS and 240 compounds were tentatively identified. It was worth noting that the detection of phthalate esters in rPET from China, such as bis(2-ethylhexyl) phthalate, exhibits a higher diversity (17 different types) and frequency (7.8 %–100 %) in comparison with related studies. Subsequently, based on the principles for selection of surrogates used in challenge test, seven molecular descriptors were selected as variables for compound characterization, followed by principal component analysis (PCA) for representation. Based on this analysis and referencing the EFSA and FDA surrogate suggestion lists, eight surrogates were proposed for China, namely chlorobenzene, toluene, benzophenone, bis(2-ethylhexyl) terephthalate, methyl salicylate, methyl stearate, 1-phenyldecane and phenylcyclohexane. High-throughput detection methods were developed for each surrogate with the regression correlation coefficients over 0.999, spiked recoveries ranging from 99.3-107.5 %, LODs of 0.003–2.192 ng/mL, LOQs of 0.009–7.306 ng/mL, RSD of 0.71–4.23 %, respectively. This research provides foundational data and methodological support for the evaluation of rPET challenge testing in China, offering technical support for subsequent safety assessments of rPET.

Vibration and Flow Characteristics of a 200 MW Kaplan Turbine Unit under Off-Cam Conditions

Kaplan turbine units can adjust their blades to achieve wider outputs without a significant loss of efficiency. The combination of guide vane angle (GVA) and blade angle (BA) is selected based on efficiency curves obtained from cam tests. However, the vibration characteristics are not considered in the test. The vibration and flow characteristics are complex with different combinations of guide vane and blade angles. Different cam relation selection principles lead to varying machine vibration and flow characteristics. In this research, the flow and vibration characteristics were obtained by means of field test and numerical simulation. Vibration, pressure pulsation, and other stability indicators have been extracted and investigated under off-cam conditions. The flow and variation rules of different indicators have been thoroughly researched. The findings suggest that the magnitude of vibration in the X direction surpassed that in the Y direction for the head cover, upper frame, and lower frame under 22 experimental conditions. The disparity between the head cover and upper frame in both directions was not significant, whereas a substantial contrast existed between the lower frame in the X and Y directions. The calculation results indicate that when the guide vane angle was small, vortices appeared near the high-pressure edge of the runner in the vaneless region and caused disorganized flow lines in the runner, and this complex vortex behavior led to multiple frequency components in the pressure pulsation frequency domain. The conclusions provide references for the designers of Kaplan turbine units and improves the operating safety of Kaplan turbine power stations.

Lightweight CNN combined with knowledge distillation for the accurate determination of black tea fermentation degree

Black tea is the second most common type of tea in China. Fermentation is one of the most critical processes in its production, and it affects the quality of the finished product, whether it is insufficient or excessive. At present, the determination of black tea fermentation degree completely relies on artificial experience. It leads to inconsistent quality of black tea. To solve this problem, we use machine vision technology to distinguish the degree of fermentation of black tea based on images, this paper proposes a lightweight convolutional neural network (CNN) combined with knowledge distillation to discriminate the degree of fermentation of black tea. After comparing 12 kinds of CNN models, taking into account the size of the model and the performance of discrimination, as well as the selection principle of teacher models, Shufflenet_v2_x1.0 is selected as the student model, and Efficientnet_v2 is selected as the teacher model. Then, CrossEntropy Loss is replaced by Focal Loss. Finally, for Distillation Loss ratios of 0.6, 0.7, 0.8, 0.9, Soft Target Knowledge Distillation (ST), Masked Generative Distillation (MGD), Similarity-Preserving Knowledge Distillation (SPKD), and Attention Transfer (AT) four knowledge distillation methods are tested for their performance in distilling knowledge from the Shufflenet_v2_x1.0 model. The results show that the model discrimination performance after distillation is the best when the Distillation Loss ratio is 0.8 and the MGD method is used. This setup effectively improves the discrimination performance without increasing the number of parameters and computation volume. The model’s P, R and F1 values reach 0.9208, 0.9190 and 0.9192, respectively. It achieves precise discrimination of the fermentation degree of black tea. This meets the requirements of objective black tea fermentation judgment and provides technical support for the intelligent processing of black tea.

Relative versions of star-Menger property

Abstract Motivated by Bonanzinga and Maesano (2022), we introduce and study the new relative versions of star-Menger property related to some properties studied lately by Kočinac et al. (2022) and Bonanzinga et al. (2023). In this paper, we provide some examples to understand their relationships with other relativizations of star selection principles. Further, we investigate the behaviour of these spaces under various mappings.