Desired Effect Research Articles

Folk Intuitions About Free Will and Moral Responsibility: Evaluating the Combined Effects of Misunderstandings About Determinism and Motivated Cognition.

In this study, we conducted large-scale experiments with novel descriptions of determinism. Our goal was to investigate the effects of desires for punishment and comprehension errors on people's intuitions about free will and moral responsibility in deterministic scenarios. Previous research has acknowledged the influence of these factors, but their total effect has not been revealed. Using a large-scale survey of Japanese participants, we found that the failure to understand causal determination (intrusion) has limited effects relative to other factors and that the conflation of determinism and epiphenomenalism (bypassing) has a significant influence, even when controlling for other variables. This leads to the increased prevalence of incompatibilist responses. Furthermore, our results demonstrated a close association between the attribution of free will/responsibility and retributive desire. While further research is needed to establish the causal relationship between these factors, this association is consistent with Cory Clark and colleagues' study that increased desire contributes to increased compatibilist responses and their claim that a definitive intuition about free will may be elusive.

Carbon Nanotubes: A Targeted Drug Delivery against Cancer Cell

Abstract: Drug delivery in human subjects has been the most difficult task since the ancient time of the medical sector. An ideal drug delivery system is, one that minimizes the adverse effects and maximizes the desired effects of the drug candidate. Various drug delivery systems have been developed that may have some kind of advantages and disadvantages, among them targeted drug delivery system is more preferable and convenient which may employ various nanoparticles or other materials for the drug delivery at the specified site of action. In this, the authors elaborately and comprehensively explained the role of recent carbon nanotubes (CNTs) in targeted drug delivery systems (specifically for targeting cancerous cells). The authors also described the methods of preparation of CNTs, characterization techniques for CNTs, cellular penetration of, CNTs, and the associated toxicities with CNTs. Carbon nanotubes are preferable to other nanoparticles because they are more electrically, mechanically, and organically stable than others, they can carry more amount of drug in comparison to other nanoparticles and their functionalization property makes them more attractive as a carrier molecule for targeting any root cause of the disease.

The Effect of Green Entrepreneurship Education on Green Entrepreneurial Intentions: A Case Study of the Guangxi Zhuang Autonomous Region, China

This study integrates the concept of green entrepreneurship into the entrepreneurship education system, and grasps the correct way to promote the green entrepreneurship intention of college students. The model of promoting college students’ green entrepreneurship intention with policy support is constructed to answer the following research questions: what is the internal mechanism of green entrepreneurship education in promoting green entrepreneurship intention of college students in Guangxi, and how does green entrepreneurship policy affect its internal mechanism? Through a questionnaire survey of 304 college students from major cities in Guangxi, China, this paper investigates how college green entrepreneurship education affects college students’ green entrepreneurship intention through the desirability and feasibility of green entrepreneurship and actively explores the regulatory role of the institutional environment. The results show that the desirability and feasibility of green entrepreneurship play a mediating role between green entrepreneurship education and the promotion of college students’ green entrepreneurship intention, and the regulatory environment positively moderates the positive effect of desirability and feasibility of green entrepreneurship on green entrepreneurship intention. This study contributes to the literature on green entrepreneurship. On the one hand, by studying the mediating mechanism of green entrepreneurship desirability and feasibility, this study has added empirical evidence on the promotion effect of green entrepreneurship education on the green entrepreneurship intention of college students. On the other hand, this study emphasizes the impact of policy regulation on the strengthening process of college students’ green entrepreneurial intention. This study will help to build a characteristic and effective green entrepreneurship education system in colleges and universities, enhance college students’ green entrepreneurship intention and green core competitiveness, and drive them to enhance their sense of social responsibility and build “green development” values.

Impact of social desirability bias on the CoPsoQ-ISTAS 21 psychosocial risk assessment questionnaire.

Self-reported test is one of the main psychosocial risk assessment tools. However, this test it is susceptible to certain sources of error, including social desirability. Since psychosocial risks are emerging, there are not many studies on their assessment. The aim of this work is to analyze the impact of social desirability on the short version of the CopSoq-ISTAS 21 assessment tool. A total of 563 workers (45.10% women and 54.90% men) participated in this study. The short version of the CoPsoQ-Istas21 questionnaire with four Likert scale questions as markers, which correspond to the Eysenck Personality Lie Scale Questionnaire Revised (EPQ-r), were used. The sample was divided into two halves, and both a confirmatory analysis and an exploratory analysis were carried out to find out the factorial structure of the scale and, with it, apply the bias filtering method. The results indicate that 10% of the scale is biased due to social desirability, and that there are significant differences between the group with bias clean scores and the group with scores without bias control. The effects of social desirability on the scale are verified, so it is concluded that in a psychosocial risk assessment is not enough to apply a self-report test and interpret its results, being necessary to minimize the sources of error.

Selective atomic sieving across metal/oxide interface for super-oxidation resistance

Surface passivation, a desirable natural consequence during initial oxidation of alloys, is the foundation for functioning of corrosion and oxidation resistant alloys ranging from industrial stainless steel to kitchen utensils. This initial oxidation has been long perceived to vary with crystal facet, however, the underlying mechanism remains elusive. Here, using in situ environmental transmission electron microscopy, we gain atomic details on crystal facet dependent initial oxidation behavior in a model Ni-5Cr alloy. We find the (001) surface shows higher initial oxidation resistance as compared to the (111) surface. We reveal the crystal facet dependent oxidation is related to an interfacial atomic sieving effect, wherein the oxide/metal interface selectively promotes diffusion of certain atomic species. Density functional theory calculations rationalize the oxygen diffusion across Ni(111)/NiO(111) interface, as contrasted with Ni(001)/NiO(111), is enhanced. We unveil that crystal facet with initial fast oxidation rate could conversely switch to a slow steady state oxidation.

Motives matter more with age: Adult age differences in response to sociomoral violations.

Moral judgments and emotional reactions to sociomoral violations are heavily impacted by a perpetrator's intentions and desires, which pose a threat to social harmony. Given that older adults are more motivated to maintain interpersonal harmony relative to younger adults, older adults may be more reactive to malicious desires. In three studies, we investigated adult age differences in moral judgments and emotional reactions to sociomoral violations. In all studies, participants read scenarios in which a perpetrator either (a) desired to harm another but nothing happened, or (b) harmed another accidentally without malicious desire. Study 2 incorporated additional scenarios designed to evoke anger and disgust without explicitly implicating another person to evaluate whether age differences emerge only when sociomoral violations against another are salient. In Study 3, we examined the combined effects of malicious desires and harmful outcomes by including scenarios in which (a) harmful desires were coupled with harmful outcomes, and (b) benign desires were coupled with benign outcomes. Predominantly across the studies, older adults judged perpetrators who desired to harm another more harshly but judged perpetrators who accidentally harmed another more leniently than younger adults. Emotional reactions generally corresponded with the differences in judgments. Taken together, this work suggests that desires more strongly impact older relative to younger adults' judgments and emotional reactions in sociomoral contexts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Somatodendritic orientation determines tDCS-induced neuromodulation of Purkinje cell activity in awake mice.

Transcranial direct-current stimulation (tDCS) of the cerebellum is a promising non-invasive neuromodulatory technique being proposed for the treatment of neurological and neuropsychiatric disorders. However, there is a lack of knowledge about how externally applied currents affect neuronal spiking activity in cerebellar circuits in vivo. We investigated how Cb-tDCS affects the firing rate of Purkinje cells (PC) and non-PC in the mouse cerebellar cortex to understand the underlying mechanisms behind the polarity-dependent modulation of neuronal activity induced by tDCS. Mice (n = 9) were prepared for the chronic recording of LFPs to assess the actual electric field gradient imposed by Cb-tDCS in our experimental design. Single-neuron extracellular recording of PCs in awake (n = 24) and anesthetized (n = 27) mice was combined with juxtacellular recordings and subsequent staining of PC with neurobiotin under anesthesia (n = 8) to correlate their neuronal orientation with their response to Cb-tDCS. Finally, a high-density Neuropixels recording system was used to demonstrate the relevance of neuronal orientation during the application of Cb-tDCS in awake mice (n = 6). In this study, we observe that Cb-tDCS induces a heterogeneous polarity-dependent modulation of the firing rate of Purkinje cells (PC) and non-PC in the mouse cerebellar cortex. We demonstrate that the apparently heterogeneous effects of tDCS on PC activity can be explained by taking into account the somatodendritic orientation relative to the electric field. Our findings highlight the need to consider neuronal orientation and morphology to improve tDCS computational models, enhance stimulation protocol reliability, and optimize effects in both basic and clinical applications.

Multidimensional Data Processing With Bayesian Inference via Structural Block Decomposition.

How to handle large multidimensional datasets, such as hyperspectral images and video information, efficiently and effectively plays a critical role in big-data processing. The characteristics of low-rank tensor decomposition in recent years demonstrate the essentials in describing the tensor rank, which often leads to promising approaches. However, most current tensor decomposition models consider the rank-1 component simply to be the vector outer product, which may not fully capture the correlated spatial information effectively for large-scale and high-order multidimensional datasets. In this article, we develop a new novel tensor decomposition model by extending it to the matrix outer product or called Bhattacharya-Mesner product, to form an effective dataset decomposition. The fundamental idea is to decompose tensors structurally in a compact manner as much as possible while retaining data spatial characteristics in a tractable way. By incorporating the framework of the Bayesian inference, a new tensor decomposition model on the subtle matrix unfolding outer product is established for both tensor completion and robust principal component analysis problems, including hyperspectral image completion and denoising, traffic data imputation, and video background subtraction. Numerical experiments on real-world datasets demonstrate the highly desirable effectiveness of the proposed approach.

NEUROBIOLOGICAL MARKERS CORRUPTION BEHAVIOR: THEORETICAL REVIEW

In the modern world, the fi ght against corruption becomes a matter of solving a global problem of society. As practice has shown, external infl uences aimed at preventing corrupt practices do not always have the desired eff ect. Therefore, recently, scientists around the world have shown increasing interest in internal regulators of corrupt behavior, most often due to moral components. This paradigm is based on the idea that corrupt behavior results from multiple, interacting cognitive-aff ective networks in the brain that can be biomedically manipulated to create opportunities for moral improvement. However, cognitive neuro-studies of moral aspects of behavior, including those involving corrupt actions, are currently in short supply. Most of them were carried out on foreign samples, that is, without taking into account the sociocultural aspect. In addition, one of the latest trends in this direction is the search for neuromarkers — those areas in the human brain that are activated when implementing thoughts and actions that are contrary to moral standards, including when making corrupt decisions. This article is intended to provide an annotated analysis of retrospective studies of neurobiological predictors of human behavior, mainly from the last 10–15 years, to introduce the Russian reader to innovative works in this direction.

World Allergy Organization (WAO) Diagnosis and Rationale for Action against Cow's Milk Allergy (DRACMA) guideline update – XII – Recommendations on milk formula supplements with and without probiotics for infants and toddlers with CMA

BackgroundCow's milk allergy (CMA) is the most common food allergy in infants. The replacement with specialized formulas is an established clinical approach to ensure adequate growth and minimize the risk of severe allergic reactions when breastfeeding is not possible. Still, given the availability of multiple options, such as extensively hydrolyzed cow's milk protein formula (eHF-CM), amino acid formula (AAF), hydrolyzed rice formula (HRF) and soy formulas (SF), there is some uncertainty as to the most suitable choice with respect to health outcomes. Furthermore, the addition of probiotics to a formula has been proposed as a potential approach to maximize benefit. ObjectiveThese evidence-based guidelines from the World Allergy Organization (WAO) intend to support patients, clinicians, and others in decisions about the use of milk specialized formulas, with and without probiotics, for individuals with CMA. MethodsWAO formed a multidisciplinary guideline panel balanced to include the views of all stakeholders and to minimize potential biases from competing interests. The McMaster University GRADE Centre supported the guideline-development process, including updating or performing systematic evidence reviews. The panel prioritized clinical questions and outcomes according to their importance for clinicians and patients. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used, including GRADE Evidence-to-Decision frameworks, which were subject to review by stakeholders. ResultsAfter reviewing the summarized evidence and thoroughly discussing the different management options, the WAO guideline panel suggests: a) using an extensively hydrolyzed (cow's milk) formula or a hydrolyzed rice formula as the first option for managing infants with immunoglobulin E (IgE) and non-IgE-mediated CMA who are not being breastfed. An amino-acid formula or a soy formula could be regarded as second and third options respectively; b) using either a formula without a probiotic or a casein-based extensively hydrolyzed formula containing Lacticaseibacillus rhamnosus GG (LGG) for infants with either IgE or non-IgE-mediated CMA.The issued recommendations are labeled as “conditional” following the GRADE approach due to the very low certainty about the health effects based on the available evidence. ConclusionsIf breastfeeding is not available, clinicians, patients, and their family members might want to discuss all the potential desirable and undesirable consequences of each formula in infants with CMA, integrating them with the patients' and caregivers’ values and preferences, local availability, and cost, before deciding on a treatment option. We also suggest what research is needed to determine with greater certainty which formulas are likely to be the most beneficial, cost-effective, and equitable.

Development and effectiveness of a BOPPPS teaching model-based workshop for community pharmacists training.

With the pharmaceutical innovation and clinical knowledge updating, the continuing education and on-the-job training are extremely important for improving community pharmacists' professional competence. Previous training often adopted traditional lecture-based teaching, and the efficacy was limited. The aim of this study is to develop a new strategy for community pharmacist training. Based on the BOPPPS (Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment and Summary) teaching model and workshop method, a continuing on-the-job training program was constructed. Participates were randomly and evenly divided into two groups by random number table method. Twenty-four community pharmacists in total completed all training contents and evaluation components in this study. Twelve pharmacists in experimental group were trained via this new BOPPPS-based workshop, while others still adopted traditional didactic lecture-based approaches. After training, quantitative examination combined with clinical pharmacy practice tests were carried out to evaluate the effectiveness and outcomes of two training groups. For written exam, the total scores from the BOPPPS-based workshop group (82.67 ± 4.70) was higher than that of traditional lectured-base group (73.75 ± 6.15) (P < 0.001). Encouragingly, compared with the results of practical ability assessment from traditional training group (71.75 ± 4.75), the pharmacists receiving BOPPPS-based workshop training presented more excellent performance (78.25 ± 5.03), which displayed statistically significant differences (P < 0.01). In addition, an anonymous questionnaire was used to survey trainees' feelings after completing this continuing education program. The results revealed that the BOPPPS-based workshop can bring a better learning experience than traditional lecture-based training, and the percentages of positive response to each item were more than 91.7%. Through multi-dimensional evaluation, it was suggested that our BOPPPS-based workshop achieved desired training effects. Moreover, our research also demonstrated that this strategy had advantages of stimulating inspiration, autonomous learning, team-work spirit and pharmacy practice improvement. It may provide a reference of innovative training method for community pharmacists.

Patterns of polydrug use among Black Americans who misuse opioids.

In the United States, opioid-related deaths involving polydrug use are now more prevalent than those involving only opioids. What often goes unnoticed is that deaths involving more than one substance are increasing more rapidly among Black Americans than Whites. Unfortunately, little research attention is paid to understanding opioid-related polydrug use patterns among Black Americans. As a result, less is known regarding which drug combinations are most common among this population and their reasons for co-using certain drugs. Therefore, the objective of this mixed methods study was to identify which substances were most commonly co-used with opioids among Black Americans, while also capturing their motives for combining opioids with other drugs. This study used data from the Florida Minority Health Study, a mixed-methods project that included online surveys (n = 303) and qualitative in-depth interviews (n = 30) of Black Americans who misuse opioids. Data collection was conducted from August 2021 to February 2022 throughout Southwest Florida. Analyses revealed that opioids were most commonly combined with alcohol, cocaine, and methamphetamine, respectively. Opioids were co-used with alcohol in an attempt to enhance the desired effect (i.e., intoxication), while stimulants and opioids were combined to counteract the undesirable side effects of the other. This study begins to answer the question of which/why substances are combined with opioids among Black Americans and should inform behavioral health interventions targeted at this population. Data on this topic are especially timely as the United States goes through the current fourth wave of the opioid crisis that is characterized by deaths due to polydrug use. These findings invite further study using nationally representative data to determine the extent to which polydrug using patterns differ across racial/ethnic groups.

Study on the Process Optimization of Peanut Coat Pigment Staining of Poplar Wood

Wood staining is a crucial technique for enhancing the decorative effect of wood. Different mordants and mordant processes can influence the staining effect of wood. In this study, three types of mordants and mordant methods were selected to improve the color difference and colorfastness to the washing of poplar veneer, using green peanut pigment as the dye. An orthogonal test was conducted to investigate the effects of mordant temperature, mordant time, and mordant concentration on color difference and colorfastness to washing. Range and variance analysis were employed to determine these properties’ main factors. A fuzzy comprehensive evaluation method was used to evaluate and optimize the color difference value and colorfastness of washing. The results revealed that all three factors had significant impacts on both color difference and colorfastness to washing during the process of mordant staining. The optimal process conditions (temperature, concentration, time) for achieving desirable staining effects on poplar veneer were determined as 50 °C, 0.8%, and 2 h, respectively. Furthermore, Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray diffraction (XRD) analyses demonstrated that the dye formed complexes with poplar wood, enabling it to adhere to wood grain apertures and tube walls effectively. Mordant treatment increased the crystallinity of stained wood significantly while improving its overall staining performance considerably. This study provides substantial data support for future optimization processes involving natural pigment coal staining in wood.

On the Subtitle Translation in Zootopia from the Perspective of Skopos Theory

As cultural exchanges become more and more frequent, film has become a new type of cultural communication tool, that is, viewers need to read subtitles to understand contents of films. Subtitles usually translated by translators who need to rely on some translation theories, but traditional translation theories can no longer better meet people’s needs. The differences between various versions of subtitle translation do not achieve the desired effect, and it is difficult to create emotional resonance between the audience of the source language and the audience of the target language. The success of a film does not lie in the wonderful contents but in whether the translation of the film content can meet its expected requirements and whether the audience can truly understand it, and the German Vermeer’s translation purpose theory provides new ideas for subtitle translation, based on a purpose that can produce certain expected effects. To study the film further and create emotional resonance among different audiences, this paper adopted Skopos theory to analyze the film: Zootopia. In the paper, the contents include three principles of Skopos theory, translation strategies and other translation methods.

L‐ascorbyl palmitate and endogenous micronutrients in vegetable oils provide synergistic antioxidant activities: Micronutrient species and concentration

AbstractIn the present study, antioxidant impacts of L‐ascorbyl palmitate (L‐AP) on 14 kinds of typical vegetable oils were studied, whose ratios of C18:1 to C18:2 ranged from 0.15 to 9.57. Regression analyses between vegetable oils and their micronutrient‐free counterparts revealed that the antioxidant capacity of L‐AP was closely related to concentrations of α‐, γ‐, and δ‐tocopherols instead of fatty acid compositions. Binary mixtures consisting of L‐AP and α‐, γ‐, or δ‐tocopherols exhibited desirable synergistic antioxidant effects in comparison with individual species. The optimal synergistic effects were found at ratios of L‐AP to α‐, γ‐, δ‐tocopherols, being 1:2–1:4. Further EPR spin trapping test figured out that the combined antioxidants reduced the total amount of spin adducts significantly during lipid oxidation, which were contributed by regenerating tocopherols from L‐AP. The results will highlight the application of L‐AP in protecting packed cooking oils after opening and during cooking.Practical applications: Vegetable oils packaged in 4–5 L bottles are one of the most important forms for home cooking. Although deoxygenation techniques are applied to increase their shelf life during storage, they will experience a more violent oxidation reaction after opening. The oils are typically oxidized to rancidity before ending up in consumption. L‐AP was therefore involved into the vegetable oils to prevent them from oxidation during uses. The results of study can help companies to select the optimal L‐AP addition amount according to different endogenous tocopherol types and contents in the target oil in order to extend the use life of the vegetable oil.

Application of L-FDM Technology to the Printing of Tablets That Release Active Substances—Preliminary Research

The following work presents a method for obtaining PLA composites with activated carbon modified using the liquid for fused deposition modeling (L-FDM) method in which two different compounds, i.e., rhodamine and antipyrine, are introduced. Tablets saturated with substances were obtained. Microscopic tests were carried out, and these confirmed the presence of substances that had been introduced into the polymer structure. UV-Vis spectra and observation of the active substance release process confirmed the relationship between the printing speed and the amounts of the compounds liberated from the tablets. Additionally, the contact angle of the PLA with activated carbon composites was characterized. The hydrophilic nature of the obtained composites favors an increase in the amounts of compounds released during the release process, which is a desirable effect. The surfaces and pores of the obtained materials were also analyzed. The incorporation of activated carbon into PLA results in a significant increase in its surface area. Investigations indicate that a novel approach for introducing chemicals into polymer matrices through the L-FDM method holds promise for the prospective fabrication of tablets capable of a controlled and customized release of substances tailored to individual requirements.

Microencapsulation of Doxorubicin Using Chitosan

Introduction: For some medical treatments associated with cancer, the invasion of organs is required, which must be done in a totally controlled way to obtain the expected results in the treatment. Today, most medical treatments make use of invasive therapies to combat the affected cancer tissues. Acting in this way also destroys those tissues not affected by the generation of tumor centers that confront the cancer tumor center to be treated. Methods: To ensure the objective of the treatment, doses of the drug to be administered in a little controlled and free via are used that are ultimately ineffective due to the high degradation of the active compound due to its non-existent stabilization and protection after its passage through the body and consequently possible episodes of phagocytization, responsible for the reticuloendothe-lial system. It is well known the side effects that one of the most promising anti-cancer molecules, doxorubicin, shows. This is a problem for its use, and one of the possibilities to avoid these desired behaviors, microencapsulation could be a possible approach. Results: Microencapsulation of drugs allows the design of micro-level structures capable of con-taining the active agent with sufficient protection and stabilization to be able to reach the target site with the highest possible concentration of drug to be able to be gradually released in its entirety and produce the desired effect in the therapy in a controlled way according to a previous-ly studied kinetic profile, which will allow a type of treatment in which the therapy will be non-invasive due to the high degree of targeting selectivity that the microcapsule allows. Conclusion: The use of the amine groups present in the chitosan polymer's structure to increase or modify the molecular interactions with doxorubicin is a very interesting aspect that will be treated here. These interactions help to make possible the control and protection of the active principle, as it is shown in the quantification of the drug-delivery behavior of the system made.

Effect of Dietary Incorporation of Hemp Seeds Alone or with Dried Fruit Pomace on Laying Hens' Performance and on Lipid Composition and Oxidation Status of Egg Yolks.

The present study was conducted to investigate the effects of introducing hemp seeds, as a source of PUFAs, into a standard diet with or without dried fruit pomace (dried blackcurrant (DB) or dried rosehip (DR)), as a source of natural antioxidants, on the laying performance of hens and the FA profile, cholesterol level, antioxidant content, and lipid oxidative status in the yolks of fresh eggs or eggs stored at 4 °C for 28 days. The experiment used 128 Tetra SL hens at 35 weeks of age, which were divided into four groups and randomly assigned to four dietary treatments: a standard corn-wheat-soybean meal diet (C), standard diet containing 8% ground hemp seed (H), hemp seed diet containing 3% dried blackcurrant pomace (HB), and hemp seed diet containing 3% dried rosehip pomace (HR). The laying rate, feed conversion ratio (FCR), egg weight, and yolk weight were improved by the use of hemp seeds. The yolks of the H, HB, and HR eggs had a lower cholesterol (p ˂ 0.01) and SFA content, while the concentration of total and individual PUFAs (n-6 and n-3 FAs) was significantly higher (p ˂ 0.01) compared to C. In addition, the introduction of hemp seeds into the diets alone or with dried fruit pomace (DB or DR) led to increased (p ˂ 0.001) content of α-linolenic acid (ALA, 18:3n-3), eicosapentaenoic acid (EPA, 20:5n-3), and docosahexaenoic acid (DHA, 22:6n-3) and hypo-/hypercholesterolemic FA ratio and decreased arachidonic acid (AA, 20:4n-6) content, n-6/n-3 ratio, and thrombogenicity index (TI) compared to the control eggs. The introduction of dried fruit pomace (DB or DR) into the diets had no effect on the laying performance of the hens or the cholesterol content and FA profile of the egg yolks, compared to the diet supplemented only with hemp seeds. The dried fruit pomace improved the color, accumulation of antioxidants, and oxidative stability of fats in the yolks of the fresh eggs and eggs stored at 4 °C for 28 days. The DR was found to have the most desirable effects, producing the most intense color of egg yolks, the highest content of natural antioxidants, and the best oxidative stability of yolk lipids.

Perceived social position, active engagement with life, and depressive symptoms among older adults

RationaleDespite the existing literature on the relationship between perceived social position (PSP) and depressive symptoms, there remain gaps in our understanding, particularly regarding the potential for asymmetric effects of increases and decreases in PSP and the underlying mechanisms involved. ObjectiveThis study aims to examine whether increases and decreases in PSP are differentially associated with depressive symptoms and to explore the potential mediating role of active engagement with life in these associations. MethodsThis study utilized data from the Korean Longitudinal Study of Aging (KLoSA), collected between 2008 and 2018, involving a sample of 3506 individuals aged 65 or older. Asymmetric fixed effects (FE) models were employed, which enable the estimation of differential effects for increases and decreases in PSP, while accounting for unobserved individual-level heterogeneity. To assess the mediating role of active engagement in life, Sobel mediation tests were conducted. ResultsThe asymmetric FE estimates revealed a stronger association between decreases in PSP and increases in depressive symptoms compared to the association between increases in PSP and decreases in depressive symptoms. The Sobel mediation tests indicated that formal social activities had the most substantial mediating effect, explaining 14% and 9% of the total effect mediated for increased and decreased PSP and depressive symptoms, respectively. Leisure/hobby activities explained 10% and 4% of the total effect mediated for increased and decreased PSP and depressive symptoms, respectively. ConclusionThis study provides evidence that increases and decreases in PSP have differential effects on depressive symptoms among older adults in Korea. Policy interventions aimed at improving the psychological well-being of older adults should prioritize efforts to both enhance PSP and minimize declines, as the latter can have a stronger negative impact on depressive symptoms. Active engagement in life may serve as a potential pathway for achieving the desired effects.

Deep Transfer Learning Based on LSTM Model for Reservoir Flood Forecasting

In recent years, deep learning has been widely used as an efficient prediction algorithm. However, this algorithm has strict requirements on the size of training samples. If there are not enough samples to train the network, it is difficult to achieve the desired effect. In view of the lack of training samples, this article proposes a deep learning prediction model integrating migration learning and applies it to flood forecasting. The model uses random forest algorithm to extract the flood characteristics, and then uses the transfer learning strategy to fine-tune the parameters of the model based on the model trained with similar reservoir data; and is used for the target reservoir flood prediction. Based on the calculation results, an autoregressive algorithm is used to intelligently correct the error of the prediction results. A series of experimental results show that our proposed method is significantly superior to other classical methods in prediction accuracy.