Recent Research Research Articles

Post-migration living difficulties as a significant risk factor for PTSD in immigrants: a primary care study

Background: recent research shows that severe/very severe post-migration living difficulties (PMLD) have a negative impact on the mental health and social integration of refugees and asylum seekers. This study focuses on the role of PMLD in primary care “ordinary” immigrants. Methods: 443 primary care immigrants were asked to complete a self-administered questionnaire measuring the number and severity of pre-migratory potentially traumatic events (PTE), PMLD, and the current prevalence of a post-traumatic stress disorder (PTSD). The frequency of PMLD was assessed in the whole sample and compared in patients with and without PTSD. The effect of the number of PMLD on the risk of having a PTSD was studied by means of a regression analysis, adjusted by the number of PTE. Results: 391 patients completed the questionnaire and were enrolled into the study. The prevalence of PTSD was 10.2%. In the whole sample the most frequent PMLD were “no permission to work” (38.6%) and “poverty” (34.5%). All PMLD (except “communication difficulties”) were more frequent in patients with a PTSD. The number of PMLD significantly increased the likelihood to have a PTSD independently from PTE. Conclusions: severe/very severe post-migration living difficulties (PMLD) increase significantly the risk of PTSD in primary care “ordinary” migrants. Our hypothesis is that they have a retraumatizing effect on individuals who are already vulnerable and with a low capacity to handle resettlement stress due to their previous traumatic history. The implications in clinical practice and for immigration policies are discussed.

Correlates of post-traumatic growth among persons bereaved from cancer: A systematic review and meta-analysis.

Recent research identified that cancer bereavement can lead to post-traumatic growth (PTG). Although PTG and its correlates are well explored in cancer patients and survivors, persons bereaved from cancer have received scant attention. Therefore, the present review attempts to identify the correlates of PTG among persons bereaved from cancer. A systematic search in PubMed, Web of Science, APA PsycNet, Science Direct, Scopus, and Wiley was conducted to identify quantitative studies published in English, resulting in 12 eligible reports being included in the final analysis. JBI critical checklists were employed to appraise the risk of bias. The review identified 17 correlates, which were classified into four categories: demographic factors (age, gender, religious status, level of education), loss-related factors (time since death, quality of death, prolonged grief symptoms), interpersonal factors (relationship to the deceased, social support, attachment style, bereavement behaviours) and intrapersonal factors (resilience, coping, rumination, benevolence, meaningfulness, self-worth). Random effects meta-analyses on six correlates revealed correlation coefficients of age = -0.02 (95% CI: -0.35-0.31), gender = 0.27 (95% CI: 0.08-0.45), time since death = 0.09 (95% CI: -0.02-0.20), quality of death = 0.29 (95% CI: -0.01-0.54), prolonged grief symptoms = 0.22 (95% CI: 0.08-0.35) and relationship to the deceased = 0.13 (95% CI: -0.03-0.29). Fixed effects meta-analysis was performed for social support (r = 0.13, 95% CI: 0.04-0.21). However, PTG was found to be significantly associated with gender, prolonged grief symptoms, and social support. Very few studies examined PTG among persons bereaved from cancer, highlighting the need for increased attention, understanding, and conceptualisation of PTG in the population.

Foreign Policy as Compensation: Why Brexit Became a Foreign and Security Policy Issue

Abstract Exogenous reform demands can put leaders in a tight spot where change runs up against structural impediments. Yet, where asymmetries in reform costs occur across domains, leaders can seek to re-frame the impetus of change from one domain to another. Such compensatory behavior is commonplace but is not adequately captured by existing research on linkage politics, forum shopping, or diversionary conflict. This article develops the concept of compensatory foreign policy, whereby leaders use foreign policy change to compensate for unviable economic reforms when they have greater capacity and choice in the former domain. Empirically, we use elite interviews to reconstruct the politics of security policy in the post-Brexit United Kingdom, showing how party leaders focused on foreign policy change when beneficial economic arrangements were precluded. Our argument contributes to recent research on linkage politics by demonstrating the conditions under which leaders seek foreign policy reforms to compensate for economic weakness.

Recent advancements in the role of histone acetylation dynamics to improve stress responses in plants.

In eukaryotes, transcriptional regulation is determined by the DNA sequence and is facilitated through sophisticated and complex chromatin alterations and histone remodelling. Recent research has shown that the histone acetylation dynamic, an intermittent and reversible substitution, constitutes a prerequisite for chromatin modification. These changes in chromatin structure modulate genome-wide and specific changes in response to external and internal cues like cell differentiation, development, growth, light temperature, and biotic stresses. Histone acetylation dynamics also control the cell cycle. HATs and HDACs play a critical role in gene expression modulation during plant growth and response to environmental circumstances. It has been well established that HATs and HDACs interact with various distinct transcription factors and chromatin-remodelling proteins (CRPs) involved in the transcriptional regulation of several developmental processes. This review explores recent research on histone acyltransferases and histone deacetylases, mainly focusing on their involvement in plant biotic stress responses. Moreover, we also emphasized the research gaps that must be filled to fully understand the complete function of histone acetylation dynamics during biotic stress responses in plants. A thorough understanding of histone acetylation will make it possible to enhance tolerance against various kinds of stress and decrease yield losses in many crops.

Exploring the significance of microbiota metabolites in rheumatoid arthritis: uncovering their contribution from disease development to biomarker potential.

Rheumatoid arthritis (RA) is a multifaceted autoimmune disorder characterized by chronic inflammation and joint destruction. Recent research has elucidated the intricate interplay between gut microbiota and RA pathogenesis, underscoring the role of microbiota-derived metabolites as pivotal contributors to disease development and progression. The human gut microbiota, comprising a vast array of microorganisms and their metabolic byproducts, plays a crucial role in maintaining immune homeostasis. Dysbiosis of this microbial community has been linked to numerous autoimmune disorders, including RA. Microbiota-derived metabolites, such as short-chain fatty acids (SCFAs), tryptophan derivatives, Trimethylamine-N-oxide (TMAO), bile acids, peptidoglycan, and lipopolysaccharide (LPS), exhibit immunomodulatory properties that can either exacerbate or ameliorate inflammation in RA. Mechanistically, these metabolites influence immune cell differentiation, cytokine production, and gut barrier integrity, collectively shaping the autoimmune milieu. This review highlights recent advances in understanding the intricate crosstalk between microbiota metabolites and RA pathogenesis and also discusses the potential of specific metabolites to trigger or suppress autoimmunity, shedding light on their molecular interactions with immune cells and signaling pathways. Additionally, this review explores the translational aspects of microbiota metabolites as diagnostic and prognostic tools in RA. Furthermore, the challenges and prospects of translating these findings into clinical practice are critically examined.

Hsa_circ_0008360 promotes high glucose-induced damage in HK-2 cells via miR-346/WNT2B axis.

Diabetic nephropathy (DN) is a leading cause of end-stage renal disease worldwide. Recent researches have shown that circular RNAs (circRNAs) could affect the progress of DN, but the mechanism isstill indistinct. In this work, we explored the roles of hsa_circ_0008360 in DN. The levels of hsa_circ_0008360, microRNA-346 (miR-346) and Winglesstype family member 2B (WNT2B) were indicated by quantitative real-time polymerase chain reaction (qRT-PCR) in DN tissues and HK2 cells. Meanwhile, the protein level of WNT2B was quantified by Western blot analysis. Besides, the function of cells was examined by Cell Counting Kit-8 (CCK8) assay, flow cytometry assay, western blot, and ELISA kit. Furthermore, the interplay between miR-346 and hsa_circ_0008360 or WNT2B was detected by dual-luciferase reporter assay. The levels of hsa_circ_0008360 and WNT2B were increased, and the miR-346 level was decreased in the serum of DN patients and HG-treated HK2 cells. For functional analysis, hsa_circ_0008360 deficiency promoted cell viability, inhibits cell apoptosis, inflammatory response, and the synthesis of related fibrotic proteins in HG-treated HK2 cells. Moreover, overexpression of miR-346 induced the proliferation and inhibit apoptosis of HG-induced HK2 cells by inhibiting WNT2B expression. In mechanism, hsa_circ_0008360 acted as a miR-346 sponge to regulate the level of WNT2B. Hsa_circ_0008360 can regulate miR-346/WNT2B axis in HG-induced HK2 cells, providing an underlying targeted therapy for DN patients.

Rebalance Your Investment Portfolio Periodically: Mantra or Myth?

Rebalance Your Investment Portfolio Periodically: Mantra or Myth?

The Interplay of Mitochondrial Bioenergetics and Dopamine Agonists as an Effective Disease-Modifying Therapy for Parkinson's Disease.

Parkinson's disease (PD) is a progressive neurological ailment with a slower rate of advancement that is more common in older adults. The biggest risk factor for PD is getting older, and those over 60 have an exponentially higher incidence of this condition. The failure of the mitochondrial electron chain, changes in the dynamics of the mitochondria, and abnormalities in calcium and ion homeostasis are all symptoms of Parkinson's disease (PD). Increased mitochondrial reactive oxygen species (mROS) and an energy deficit are linked to these alterations. Levodopa (L-DOPA) is a medication that is typically used to treat most PD patients, but because of its negative effects, additional medications have been created utilizing L-DOPA as the parent molecule. Ergot and non-ergot derivatives make up most PD medications. PD is successfully managed with the use of dopamine agonists (DA). To get around the motor issues produced by L-DOPA, these dopamine derivatives can directly excite DA receptors in the postsynaptic membrane. In the past 10years, two non-ergoline DA with strong binding properties for the dopamine D2 receptor (D2R) and a preference for the dopamine D3 receptor (D3R) subtype, ropinirole, and pramipexole (PPx) have been developed for the treatment of PD. This review covers the most recent research on the efficacy and safety of non-ergot drugs like ropinirole and PPx as supplementary therapy to DOPA for the treatment of PD.

Self-Defense Mechanism in Rice to Salinity: Proline

The increasing global population and climate change threaten food security, with the need for sustenance expected to rise by 85% by 2050. Rice, a crucial staple food for over 50% of the global population, is a major source of calories in underdeveloped and developing countries. However, by the end of the century, over 30% of rice fields will become saline due to soil salinity caused by earthquakes, tsunamis, and rising sea levels. Plants have developed strategies to deal with salt stress, such as ion homeostasis, antioxidant defense mechanisms, and morphological adaptations. Proline, an endogenous osmolyte, is the predominant endogenous osmolyte that accumulates in response to salinity, and its overexpression in rice plants has been observed to increase plant salinity tolerance. Exogenously applied proline has been shown to improve plant salt tolerance by reducing the destructive effect of salinity. Recent research has focused on ionic toxicity, nitrogen fixation, and gene expression related to salt tolerance. Exogenous proline has been shown to improve water potential and leaf content, restoring water usage efficiency. It can also ease growth inhibition in salt-sensitive plants. Exogenously applied proline increases antioxidant activities and enhances plant salinity tolerance. This review examines the role and processes of proline in rice plants under salt stress and its relationship with other tolerance mechanisms.

Who's being elitist? A debate about the enregisterment of Singlish

Abstract This article is a rejoinder to Lee (2023) who makes certain claims about the enregisterment of Singlish via a case study of Spiaking Singlish. In challenging Lee's key claim that Spiaking Singlish deploys a form of elitist language, I argue that the Singlish features in the book need not demand a solely ludic reading and actually draw from everyday practices. Accordingly, enregisterment ought to be understood as a diachronic and evolving process in the vein of Butler's (1999) notion of sedimentation. Moreover, Lee's characterization of the ‘monolectal Singlish user’ is classist and reductionist, unsupported by recent research and census data. Consequently, Spiaking Singlish need not be seen as an elitist work, but as contributing to ever-changing attitudes towards Singlish in the public sphere. This article is an alternative iteration to Lee's (2023) that has implications for the way we understand enregisterment in Singapore and choose to represent it as a process. (Enregisterment, Singlish, Singapore, sociolinguistics, language ideological debates)*

In service of disruption: examining mediators of White racial identity through inservice professional development addressing race and racism

ABSTRACT Research on professional development (PD) with practicing White teachers has traditionally focused on shifting White teachers’ attitudes, whereas more recent research has explored the role of emotions in White teachers’ engagement in such learning. Leveraging theory on culturally disruptive pedagogy and a qualitative phenomenological approach, this article analyses the experiences of a group of White educators across a suburban Mid-Atlantic district, asking, what common elements are associated with ‘disruptions’ White educators may experience in PD addressing race and racism? Building on previous research calling attention to the complex, multifaceted nature of White cultural conditioning and related processes of ‘unlearning’, cognitive, emotional, spatial, and embodied mediating elements are documented and analysed. Implications for future research and PD design and facilitation are discussed.

Sentiment analysis model for cryptocurrency tweets using different deep learning techniques

Abstract Bitcoin (BTC) is one of the most important cryptocurrencies widely used in various financial and commercial transactions due to the fluctuations in the price of this currency. Recent research in large data analytics and natural language processing has resulted in the development of automated techniques for assessing the sentiment in online communities, which has emerged as a crucial platform for users to express their thoughts and comments. Twitter, one of the most well-known social media platforms, provides many tweets about the BTC cryptocurrency. With this knowledge, we can apply deep learning (DL) to use these data to predict BTC price variations. The researchers are interested in studying and analyzing the reasons contributing to the BTC price’s erratic movement by analyzing Twitter sentiment. The main problem in this article is that no standard model with high accuracy can be relied upon in analyzing textual emotions, as it represents one of the factors affecting the rise and fall in the price of cryptocurrencies. This article aims to classify the sentiments of an expression into positive, negative, or neutral emotions. The methods that have been used are word embedding FastText model in addition to different DL methods that deal with time series, one-dimensional convolutional neural networks (CONV1D), long-short-term memory networks (LSTMs), recurrent neural networks, gated recurrent units, and a Bi-LSTM + CONV1D The main results revealed that the LSTM method, based on the DL technique, achieved the best results. The performance accuracy of the methods was 95.01, 95.95, 80.59, 95.82, and 95.67%, respectively. Thus, we conclude that the LSTM method achieved better results than other methods in analyzing the textual sentiment of BTC.

Can co-production enhance professional public service provision? evidence from vocational training programme for people with disabilities in China

ABSTRACT Recent research on professional services has sought to pay nuanced attention to the relationship between professionalism and public service performance. At the same time, existing literature has examined the role of co-production in local public service delivery but has primarily remained theoretical and qualitative, calling for more empirical testing. Bridging these two different streams of literature, this article is the first to investigate how co-production affects the performance of China’s vocational training service for disabled persons. Using cross-sectional data from the 2018 national survey conducted by the China Disabled Persons’ Federation, our research shows that training institutions adopting a co-production approach are more likely to achieve higher employment rates (self-reported) among their trainees. Furthermore, multiple measures of professionalism are found to be positively associated with the employment outcomes of vocational training programmes. Implications for future research on professionalism and co-production in public service delivery are also discussed.

Dynamic Light Scattering for the Measurement of Transport Properties of Fluids

The present article summarizes experimental and theoretical considerations required for a proper use of dynamic light scattering (DLS) for the measurement of transport properties of fluids. It addresses not only recent advancements of the method, but also aims to provide recommendations to researchers who intend to apply the technique in the future. As outlined in this study, DLS is based on the analysis of scattered light governed by microscopic statistical or periodic fluctuations that originate from the thermal movement of molecules and/or particles at macroscopic thermodynamic equilibrium. The dynamics of these hydrodynamic fluctuations in the bulk of fluids or at their phase boundaries are related to the underlying diffusive processes and, thus, to the associated transport properties, and are reflected by the time-dependent correlation function of the scattered light intensity. The fundamentals of this type of detection, known as photon correlation spectroscopy (PCS), will be discussed in the present contribution in some more detail. It is emphasized that the experiments need to be designed carefully in accordance with theory in order to assign the measurement signals to the corresponding hydrodynamic fluctuations. If the necessary conditions are fulfilled, DLS allows the accurate determination of several transport properties including kinematic and dynamic viscosity, thermal diffusivity, mutual diffusivity, and sound attenuation, which may be accessed together with other thermophysical properties such as speed of sound and surface or interfacial tension. In some instances, also the simultaneous determination of several transport properties is possible. With the exception of the sound attenuation, expanded uncertainties for the mentioned transport properties down to 1 % can be achieved for various types of fluid systems over a wide range of thermodynamic states up to elevated temperatures and pressures as well as in the vicinity of critical points. This performance and versatility of the DLS technique is documented in the present study by highlighting measurement examples from recent thermophysical property research on different classes of working fluids relevant for process and energy technology.

Disruption of Communication: Recent Advances in Antibiofilm Materials with Anti-Quorum Sensing Properties.

Biofilm contamination presents a significant threat to public health, the food industry, and aquatic/marine-related applications. In recent decades, although various methods have emerged to combat biofilm contamination, the intricate and persistent nature of biofilms makes complete eradication challenging. Therefore, innovative alternative solutions are imperative for addressing biofilm formation. Instead of solely focusing on the eradication of mature biofilms, strategically advantageous measures involve the delay or prevention of biofilm formation on surfaces. Quorum sensing, a communication system enabling bacteria to coordinate their behavior based on population density, plays a pivotal role in biofilm formation for numerous microbial species. Materials possessing antibiofilm properties that target quorum sensing have gained considerable attention for their potential to prevent biofilm formation. This Review consolidates recent research progress on the utilization of materials with antiquorum sensing properties for combating biofilm formation. These materials can be categorized into three distinct types: (i) antibiofilm nanomaterials, (ii) antibiofilm surfaces, and (iii) antibiofilm hydrogels with antiquorum sensing capabilities. Finally, the Review concludes with a brief discussion of current challenges and outlines potential avenues for future research.

Recent progress in mesenchymal stem cell-based therapy for acute lung injury.

Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are life-threatening diseases in critically ill patients. Although pathophysiology of ALI/ARDS has been investigated in many studies, effective therapeutic strategies are still limited. Mesenchymal stem cell (MSC)-based therapy is emerging as a promising therapeutic intervention for patients with ALI. During the last two decades, researchers have focused on the efficacy and mechanism of MSC application in ALI animal models. MSC derived from variant resources exhibited therapeutic effects in preclinical studies of ALI with different mechanisms. Based on this, clinical studies on MSC treatment in ALI/ARDS has been tried recently, especially in COVID-19 caused lung injury. Emerging clinical trials of MSCs in treating COVID-19-related conditions have been registered in past two years. The advantages and potential of MSCs in the defense against COVID-19-related ALI or ARDS have been confirmed. This review provides a brief overview of recent research progress in MSC-based therapies in preclinical study and clinical trials in ALI treatment, as well as the underlying mechanisms.

Spontaneous remission of urticaria: does it exist and if so, when?

Urticaria mostly occurs acutely with a very high probability of spontaneous remission. When it persists for more than 6weeks a chronic urticaria is manifest, which occurs either spontaneously or inducible by specific triggers. The underlying mechanisms are not fully understood but recent research points to defined pathogenetic factors. Whether spontaneous remission is possible in urticaria is summarized descriptively in this review, and suggestions are given for the "step down" of urticaria treatment after remission. The mechanisms including autoallergic, immunoglobulin E (IgE)-dependent typeI reactions and autoimmune, activating IgG-dependent typeIIb reactions are presented. These are discussed in the context of spontaneous remission and the possibilities of induced remission.

Review of research progress on intestinal microbiota based on metabolism and inflammation for depression.

Depression is a prevalent mental illness, affecting a significant portion of the global population. Recent research has highlighted the crucial role of the gut microbiota in both metabolic and central nervous health. By reviewing literature from various databases, including Pubmed, Science Direct, Web of Science, and Scopus, spanning the years 2005-2023, a comprehensive search was conducted using keywords such as "Depression" and "Gut Microbiota". The gut microbiota acts as a "second brain" in humans and can communicate bidirectionally with the brain through the Brain-gut-microbiota axis pathway. This communication involves the immune and nervous systems. However, there are challenges in detecting and treating depression effectively. To address these limitations, researchers have been exploring the relationship between gut microbiota and depression. Studies have shown that gut microbial metabolites, such as lipopolysaccharides and short-chain fatty acids, can induce pro-inflammatory cytokines that contribute to neuroinflammation and increase the risk of depression. The kynurenine pathway, triggered by gut microbial metabolites, has also been associated with neuroinflammation. Thus, investigating these microbial metabolites can provide insights into depression treatment. This review focuses on analyzing the connection between gut microbial metabolites, inflammation, and depression. It explores novel mechanisms contributing to depression, specifically focusing on the mediation of inflammation through the release of pro-inflammatory cytokines. The objective is to provide valuable insights into the mechanisms underlying depression and to propose potential treatments.

A narrative review of microplastics in the indoor and outdoor environment, human effects, and ecological risks

Due to their widespread identification in all environmental compartments, Microplastics (MPs) are emerging pollutants that have garnered growing scientific and public attention over the last decades. Early research on MPs and their effects was limited to studies of terrestrial and aquatic ecosystems, but more recent studies have included MPs in the air. There is now considerable concern about the effects of MPs on pristine environments and urban air quality.
 A literature search was conducted in Science Direct and Google Scholar using the following keywords: microplastics, indoor environment, outdoor environment, human effects, and ecological risks.
 Finally, eligible studies were selected for the review. Textiles, such as clothes, carpets, and curtains, are the main indoor sources of MPs. As well as the primary sources of MPs outdoors, there are landfills, urban and home dust, and synthetic particles. According to current theories, human exposure to MPs occurs through dermal contact, ingestion, and inhalation. Recent research has demonstrated that inhalation is the principal mechanism of human exposure to MPs. Early toxicological research suggests that MPs may lead to inflammation and oxidative stress. However, there is growing concern about the possible leaching of hazardous chemicals used as plastic additives. Nevertheless, MP exposure and risk assessment in humans is still in its infancy, and more research on the presence of MPs in various indoor and outdoor environments is required to provide the knowledge base needed for regulations to protect human health and the environment from MPs.

Evaluating different rates of activated carbon in commercially produced seed coatings in laboratory and field trials

Pre‐emergent herbicides, commonly employed for managing invasive annual plants, often fail to meet restoration targets due to the absence of remnant perennial plants, which leaves sites vulnerable to re‐invasion and hinders effective control of annual grasses. Combining an herbicide treatment with seeding is therefore desirable, but seeded plants can also be negatively impacted by pre‐emergent herbicides. Herbicide protection (HP) seed technologies use activated carbon to adsorb herbicide near seeds and have shown promise for allowing simultaneous deployment of herbicide and seed, but recent research recommends numerous additional refinements be tested. We addressed some of these recommendations through one laboratory and a field trial replicated at multiple sites to explore whether commercially produced, single‐seed HP coatings with two different rates of activated carbon can prevent herbicide‐related damage to two perennial bunchgrasses native to the western United States. We also investigated how these coated prototypes compare in performance to the multi‐seed extruded herbicide protection pellets (HPPs) tested in prior research. In the laboratory, neither coating treatment reduced total emergence, emergence rate, survival, or biomass in the absence of herbicide. In the presence of herbicide, both provided several‐fold higher survival and aboveground biomass compared to untreated bare seed, but this represented incomplete protection from herbicide. In field trials where conditions were harsher than the laboratory, we found no evidence of HP from any treatment, and HPPs reduced seedling count for one species. We conclude that the tested HP coating prototype is an improvement over HPPs but requires additional refinements and testing.