bluuebunny/crossref_metadata_2025 huggingface dataset:
Pathogenesis of DJ-1/PARK7-Mediated Parkinson’s Disease
Authors: Skou Line Duborg , Johansen Steffi Krudt , Okarmus Justyna , Meyer Morten
Published: February 2024

Parkinson’s disease (PD) is a common movement disorder associated with the degeneration of dopaminergic neurons in the substantia nigra pars compacta. Mutations in the PD-associated gene PARK7 alter the structure and function of the encoded protein DJ-1, and the resulting autosomal recessively inherited disease increases the risk of developing PD. DJ-1 was first discovered in 1997 as an oncogene and was associated with early-onset PD in 2003. Mutations in DJ-1 account for approximately 1% of all recessively inherited early-onset PD occurrences, and the functions of the protein have been studied extensively. In healthy subjects, DJ-1 acts as an antioxidant and oxidative stress sensor in several neuroprotective mechanisms. It is also involved in mitochondrial homeostasis, regulation of apoptosis, chaperone-mediated autophagy (CMA), and dopamine homeostasis by regulating various signaling pathways, transcription factors, and molecular chaperone functions. While DJ-1 protects neurons against damaging reactive oxygen species, neurotoxins, and mutant α-synuclein, mutations in the protein may lead to inefficient neuroprotection and the progression of PD. As current therapies treat only the symptoms of PD, the development of therapies that directly inhibit oxidative stress-induced neuronal cell death is critical. DJ-1 has been proposed as a potential therapeutic target, while oxidized DJ-1 could operate as a biomarker for PD. In this paper, we review the role of DJ-1 in the pathogenesis of PD by highlighting some of its key neuroprotective functions and the consequences of its dysfunction.
Retinal Cell Biology in Health and Disease
Authors: Ameri Hossein
Published: February 2024

The intricate network of cells and processes that govern retinal health has long been a subject of fascination and intensive study within the scientific community [...]
Cilia Provide a Platform for the Generation, Regulated Secretion, and Reception of Peptidergic Signals
Authors: Luxmi Raj , King Stephen M.
Published: February 2024

Cilia are microtubule-based cellular projections that act as motile, sensory, and secretory organelles. These structures receive information from the environment and transmit downstream signals to the cell body. Cilia also release vesicular ectosomes that bud from the ciliary membrane and carry an array of bioactive enzymes and peptide products. Peptidergic signals represent an ancient mode of intercellular communication, and in metazoans are involved in the maintenance of cellular homeostasis and various other physiological processes and responses. Numerous peptide receptors, subtilisin-like proteases, the peptide-amidating enzyme, and bioactive amidated peptide products have been localized to these organelles. In this review, we detail how cilia serve as specialized signaling organelles and act as a platform for the regulated processing and secretion of peptidergic signals. We especially focus on the processing and trafficking pathways by which a peptide precursor from the green alga Chlamydomonas reinhardtii is converted into an amidated bioactive product—a chemotactic modulator—and released from cilia in ectosomes. Biochemical dissection of this complex ciliary secretory pathway provides a paradigm for understanding cilia-based peptidergic signaling in mammals and other eukaryotes.
Mining NCBI Sequence Read Archive Database: An Untapped Source of Organelle Genomes for Taxonomic and Comparative Genomics Research
Authors: Eldem Vahap , Balcı Mehmet Ali
Published: February 2024

The NCBI SRA database is constantly expanding due to the large amount of genomic and transcriptomic data from various organisms generated by next-generation sequencing, and re-searchers worldwide regularly deposit new data into the database. This high-coverage genomic and transcriptomic information can be re-evaluated regardless of the original research subject. The database-deposited NGS data can offer valuable insights into the genomes of organelles, particularly for non-model organisms. Here, we developed an automated bioinformatics workflow called “OrgaMiner”, designed to unveil high-quality mitochondrial and chloroplast genomes by data mining the NCBI SRA database. OrgaMiner, a Python-based pipeline, automatically orchestrates various tools to extract, assemble, and annotate organelle genomes for non-model organisms without available organelle genome sequences but with data in the NCBI SRA. To test the usability and feasibility of the pipeline, “mollusca” was selected as a keyword, and 76 new mitochondrial genomes were de novo assembled and annotated automatically without writing one single code. The applicability of the pipeline can be expanded to identify organelles in diverse invertebrate, vertebrate, and plant species by simply specifying the taxonomic name. OrgaMiner provides an easy-to-use, end-to-end solution for biologists mainly working with taxonomy and population genetics.
Safety beyond Sight: Handheld Metal Detectors as Diagnostic Allies in the Management of Children Suspected to have Ingested Foreign Bodies
Authors: Krencnik Tomaz , Jalsovec Tadej , Klemenak Martina , Riznik Petra , Dolinsek Jernej
Published: February 2024

Background. Foreign body (FB) ingestion remains a common cause of pediatric emergency department referrals, and the gold standard for detection is whole-digestive-tract radiographic examination. Our study explores whether handheld metal detectors (HHMD) can effectively identify the presence and location of ingested metal objects, potentially reducing the need for additional radiographic examination. Methods. We collected medical data from children with suspected metal FB ingestion who were referred to our emergency department (October 2017–March 2023), focusing on object type and correlating metal detector findings with radiographic images. Results. Data from 43 children (39.5% female; mean age: 4 y) referred to our emergency department were analyzed. Coins (32.6%), button batteries (18.6%), and hairpins (11.6%) were the most common ingested objects. Metal detectors detected the presence of FBs in 81.4% of cases (sensitivity: 89.7%; specificity: 100%). Radiographs, taken for 40 children, showed that the most common locations were the stomach (37%) and intestine (33%). The metal detector signals matched the radiography results in 69.8% of cases. According to HHMD, 34.9% of objects were accessible via endoscopy, contrasting with 51.2% via radiography (p < 0.05). Conclusion. While the findings obtained using handheld metal detectors often correlate well with radiograph findings in detecting metal FBs, for an important number of children, this confirmation is lacking, especially when determining the exact location of an object.
Children Whose Parents Spend More Time Preparing Dinner Eat More Made-from-Scratch Meals
Authors: Martins Carla Adriano , Santos Luara dos , Oliveira Mariana Fernandes Brito de , Baraldi Larissa Galastri
Published: February 2024

The aim of this paper is to investigate associations between the time spent by parents preparing dinner and children’s consumption of made-from-scratch meals. We developed a cross-sectional study with 595 parent–child dyads from São Paulo, Brazil. Data were collected via telephone interviews: time spent preparing dinner and socio-demographic characteristics were obtained using a questionnaire, while food consumption was recorded via dietary recall. Crude and adjusted regression analyses were used to test associations between time spent preparing dinner and the contribution of made-from-scratch meals to children’s dinner energy intake. Parents (93.1% woman, 60.5% aged 31–41, 62.2% white, 88.4% married, 71.2% employed, 50.0% ≥ 12 years of education) spent an average of 108- and 112-min preparing dinner on weekdays and weekends, respectively. Spending more than two hours/day was positively associated with the consumption of made-from-scratch meals (β = 4.4; p = 0.035). When parents spend more time preparing dinner, their children consume more made-from-scratch meals. Given that cooking from scratch is considered healthier but takes more time, it is important that policies and interventions aimed at promoting healthier meals among children/families and avoiding overburdening women with domestic tasks are accompanied by recommendations that focus on promoting an equitable division of food work among families.
The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators
Authors: Libório Matheus Pereira , Karagiannis Roxani , Diniz Alexandre Magno Alvez , Ekel Petr Iakovlevitch , Vieira Douglas Alexandre Gomes , Ribeiro Laura Cozzi
Published: February 2024

This research offers a solution to a highly recognized and controversial problem within the composite indicator literature: sub-indicators weighting. The research proposes a novel hybrid weighting method that maximizes the discriminating power of the composite indicator with objectively defined weights. It considers the experts’ uncertainty concerning the conceptual importance of sub-indicators in the multidimensional phenomenon, setting maximum and minimum weights (constraints) in the optimization function. The hybrid weighting scheme, known as the SAW-Max-Entropy method, avoids attributing weights that are incompatible with the multidimensional phenomenon’s theoretical framework. At the same time, it reduces the influence of assessment errors and judgment biases on composite indicator scores. The research results show that the SAW-Max-Entropy weighting scheme achieves greater discriminating power than weighting schemes based on the Entropy Index, Expert Opinion, and Equal Weights. The SAW-Max-Entropy method has high application potential due to the increasing use of composite indicators across diverse areas of knowledge. Additionally, the method represents a robust response to the challenge of constructing composite indicators with superior discriminating power.
Robust Soliton Distribution-Based Zero-Watermarking for Semi-Structured Power Data
Authors: Zhao Lei , Zou Yunfeng , Xu Chao , Ma Yulong , Shen Wen , Shan Qiuhong , Jiang Shuai , Yu Yue , Cai Yihan , Song Yubo , Jiang Yu
Published: February 2024

To ensure the security of online-shared power data, this paper adopts a robust soliton distribution-based zero-watermarking approach for tracing semi-structured power data. The method involves extracting partial key-value pairs to generate a feature sequence, processing the watermark into an equivalent number of blocks. Robust soliton distribution from erasure codes and redundant error correction codes is utilized to generate an intermediate sequence. Subsequently, the error-corrected watermark information is embedded into the feature sequence, creating a zero-watermark for semi-structured power data. In the tracking process, the extraction and analysis of the robust zero-watermark associated with the tracked data facilitate the effective identification and localization of data anomalies. Experimental and simulation validation demonstrates that this method, while ensuring data security, achieves a zero-watermark extraction success rate exceeding 98%. The proposed approach holds significant application value for data monitoring and anomaly tracking in power systems.
Physical Layer Security of the MIMO-NOMA Systems under Near-Field Scenario
Authors: Liu Xueyu , Zhang Lei , Xie Wenwu , Cao Yang , Fan Chaojie
Published: February 2024

In this paper, we propose a secure transmission framework for near-field MIMO-NOMA systems. This architecture integrates beamforming mechanisms for both transmission and reception, allowing the base station to send encrypted information to authorized users, effectively countering eavesdropping attempts in a near-field environment. To optimize the secrecy communication capability in the near field, a two-phase alternating optimization algorithm is introduced. In the first phase, the semidefinite relaxation (SDR) method is used to relax constraints in the problem and convert it into a semidefinite programming (SDP) problem. In the second phase, the successive convex approximation (SCA) algorithm is employed to transform the original non-convex problem into a convex optimization problem, obtaining a locally optimal solution through multiple iterations. Simulation results validate that the proposed near-field communication strategy exhibits superior secrecy communication capabilities under various parameter settings compared to far-field communication strategies.
Power Source Converter Based on a Variable-Domain Fuzzy PI Control
Authors: Chen Zihan , Hu Xuquan , Wang Wei , Liu Wei , Liao Mingyu , Fu Zhihong
Published: February 2024

The inadequacy of conventional control strategies for multi-phase interleaved parallel circuits in terms of adaptive adjustment makes it difficult to meet the power source design requirements for transient electromagnetic detection systems. This paper introduces a novel approach, the variable-domain fuzzy proportional–integral (PI) adaptive control strategy. This strategy dynamically adjusts the fuzzy domain in real time based on the input error magnitude, ensuring improved control effectiveness. By leveraging the benefits of both the functional scaling factor and the fuzzy reasoning scaling factor, we design scaling factors for the input and output domains to enhance control precision. The focus of this study is on a four-phase interleaved parallel converter, emphasizing the design of the variable-domain fuzzy PI control strategy for the voltage outer loop within the traditional dual closed-loop structure. An experimental prototype with a 220 Vac input, 380 V output, and a power rating of 1000 W is constructed. A comparative analysis between fuzzy control and variable-domain fuzzy PI control is conducted in the voltage outer loop of the dual closed-loop control. Results reveal that dual closed-loop control with variable-domain fuzzy PI control for the voltage outer loop significantly enhances system stability. The startup time to reach the steady state is reduced to 0.632 s, with an overshoot of 28.8 V. Transitioning from 25% load to full load takes only 0.096 s, resulting in a minimal drop of 21.4 V and an overshoot of 13.4 V. Similarly, switching from full load to 25% load in 0.167 s exhibits an overshoot of only 19.6 V. The adaptive regulation capability of the converter is markedly improved, showcasing smaller overshoots and higher-level controlling effectiveness.
A Wideband Non-Stationary 3D GBSM for HAP-MIMO Communication Systems at Millimeter-Wave Bands
Authors: Zhang Wancheng , Gu Linhao , Zhang Kaien , Zhang Yan , Wang Saier , Ji Zijie
Published: February 2024

High-altitude platforms (HAPs) are considered to be the most important equipment for next-generation wireless communication technologies. In this paper, we investigate the channel characteristics under the configurations of massive multiple-input multiple-output (MIMO) space and large bandwidth at millimeter-wave (mmWave) bands, along with the moving essence of the HAP and ground terminals. A non-stationary three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for a HAP communication system. We use a cylinder-based geometric modeling method to construct the channel and derive the channel impulse response (CIR). Additionally, the birth–death process of the scatterers is enclosed using the Markov process. Large-scale parameters such as free space loss and rainfall attenuation are also taken into consideration. Due to the relative motion between HAP and ground terminals, the massive MIMO space, and the wide bandwidth in the mmWave band, the channel characteristics of HAP exhibit non-stationarities in time, space, and frequency domains. By deriving the temporal auto-correlation function (ACF), we explore the non-stationarity in the time domain and the impact of various parameters on the correlations across the HAP-MIMO channels. The spatial cross-correlation function (CCF) for massive MIMO scenarios, and the frequency correlation function (FCF) in the mmWave bands are also considered. Moreover, we conduct simulation research using MATLAB. Simulation results show that the theoretical results align well with the simulation results, and this highlights the fact that the constructed 3D GBSM can characterize the non-stationary characteristics of HAP-MIMO channels across the time, space, and frequency domains.
Research on Privacy Protection in Federated Learning Combining Distillation Defense and Blockchain
Authors: Wan Changxu , Wang Ying , Xu Jianbo , Wu Junjie , Zhang Tiantian , Wang Yulong
Published: February 2024

Traditional federated learning addresses the data security issues arising from the need to centralize client datasets on a central server for model training. However, this approach still poses privacy protection risks. For instance, central servers cannot verify privacy leaks resulting from poisoning attacks by malicious clients. Additionally, adversarial sample attacks can infer specific samples from the original data by testing the local models on client devices. This paper proposes a federated learning privacy protection method combining distillation defense technology with blockchain architecture. The method utilizes distillation defense technology to reduce the sensitivity of client devices participating in federated learning to perturbations and enhance their ability to resist adversarial sample attacks locally. This not only reduces communication overhead and improves learning efficiency but also enhances the model’s generalization ability. Furthermore, the method leverages the “decentralized” nature of blockchain architecture as a trusted record-keeping mechanism to audit information interactions among clients and shared model parameters. This addresses privacy leakage issues resulting from poisoning attacks by some clients during the model construction process. Simulation experiment results demonstrate that the proposed method, compared with traditional federated learning, ensures model convergence, detects malicious clients, and improves the participation level of highly reputable clients. Moreover, by reducing the sensitivity of local clients to perturbations, it enhances their ability to effectively resist adversarial sample attacks.
Influencing Factors and Their Spatial–Temporal Heterogeneity of Urban Transport Carbon Emissions in China
Authors: Zhao Peng , Tian Bei , Yang Qi , Zhang Shuai
Published: February 2024

Based on the panel data of China’s 284 prefecture-level cities from 2006 to 2020, this study employs spatial econometric and geographically weighted regression models to systematically analyze the influencing factors and their spatial–temporal heterogeneity of urban transport carbon emissions. The findings reveal the following: (1) GDP per capita, population, urban road area, and private car per capita are important factors causing the increase in urban transport carbon emissions, while the improvement of urban density, public transportation effectiveness, and government environmental protection can mitigate emissions and promote low-carbon development in urban transportation. (2) The worsening impact of GDP per capita on urban transport carbon emissions shows a decreasing trend over time, forming a spatial gradient pattern of gradually increasing from southwest to northeast. However, a similar effect of population increase during the research period, which currently displays an increasing spatial differentiation from north to south in sequence. (3) As another key deteriorating urban transport carbon emission, the influencing degree of private car per capita has gradually decreased from 2006 to 2020 and represented certain spatial gradient patterns. (4) Although the urban road area is favorable to urban transport carbon reduction in the early stage, it gradually begins to change in an unfavorable direction. The urban density is the contrary, i.e., the increase in that begins to play a positive role in promoting the development of low-carbon transportation among more cities. In addition, the influence coefficient of the former also presents an increasing distribution characteristic from south to north. (5) The reduction effect of public transportation effectiveness and government environmental protection on transport carbon emissions are both gradually prominent, where the former also shows space inertia of “increasing gradient from north to south and from north to northeast”.
Spatiotemporal Variation in Extreme Climate in the Yellow River Basin and its Impacts on Vegetation Coverage
Authors: Li Zichuang , Xue Huazhu , Dong Guotao , Liu Xiaomin , Lian Yaokang
Published: February 2024

Global warming and extreme climate events (ECEs) have grown more frequent, and it is essential to investigate the influences of ECEs on vegetation in the Yellow River Basin (YRB) and other environmentally fragile areas. This study was based on data from 86 meteorological stations in the YRB for the period 2000–2020. Twenty-five extreme climate indices (ECIs) were chosen, encompassing four dimensions: extreme value, intensity, duration, and frequency. The trend analysis approach was used to examine the spatiotemporal characteristics of extreme climate conditions. Additionally, geographical detectors and Pearson correlation analysis methods were employed to quantitatively assess the influence of ECEs on the Normalized Difference Vegetation Index (NDVI). The Multiscale Geographically Weighted Regression (MGWR) method was adopted to analyze the regression of twenty-five ECIs. The findings revealed the following: (1) Over the last 21 years, there has been a distinct rise in both the extreme precipitation indices (EPIs) and the extreme temperature indices (ETIs). (2) The spatial distribution of the NDVI throughout the year displayed the characteristic of being high in the south and low in the north. The annual NDVI demonstrated a noteworthy increase at a rate of 0.055/decade, with the enhancement encompassing an extensive area of 87.33%. (3) The investigation revealed that EPIs, including PRCPTOT, R10mm, CWD, R95p, and CDD, had explanatory values surpassing 0.4. This implied that the intensity, frequency, and duration of extreme precipitation played pivotal roles in steering vegetation alterations in the YRB. (4) The correlation between the EPIs and vegetation was greater than the ETIs. Grassland meadows exhibited greater sensitivity to precipitation than woody plants. The EPIs (excluding CDD and SDII) and the ETIs (TXn) displayed a substantial positive correlation with the NDVI in regions hosting grasslands, broadleaf forests, and shrubs. Desert vegetation and cultivated plants were less affected by ECEs. This study underscores the importance of the interplay between extreme climate and vegetation in the YRB. Additionally, it provides a scientific basis for formulating environmental safeguarding strategies.
Improving Volume and Biomass Equations for Pinus oocarpa in Nicaragua
Authors: Valerio Hernández Luis Alberto , Campos Vanegas Walter Antonio , Cruz Tórrez Luis Enrique , Peña Ortiz José Adolfo , Vargas-Larreta Benedicto
Published: February 2024

We present a new set of equations for tree level volume and aboveground biomass estimation for ocote pine (Pinus oocarpa Schiede ex Schltdl). These equation systems are the first developed for this species in Nicaragua. The first system includes a taper function, a merchantable volume equation, and volume equations for stem, coarse branches, and whole trees. The second system estimates whole tree and individual tree component biomass (stem wood, bark, branches, and needles). Data from 112 sampled trees were used for models’ development. Seemingly Unrelated Iterative Regression and the Generalized Method of Moments were used to simultaneously fit the volume and biomass equations systems, respectively; both methods ensure additivity and compatibility between equations. Weighted regression and a second-order continuous autoregressive error structure were used to correct heteroscedasticity and autocorrelation within the hierarchical dataset. The predictive power of the new proposed equations is higher than the currently used models for P. oocarpa in the country. These equation systems represent a scientific advancement that will enhance forest inventories, optimize timber management of the species, and facilitate accurate monitoring of forest carbon dynamics. Additionally, the new equations will contribute to a more precise accounting of CO2 emissions from the country’s forestry sector.
Natural Gas Matters: LNG and India’s Quest for Clean Energy
Authors: Ghosh Subhadip , Majumder Rajarshi , Chatterjee Bidisha
Published: February 2024

India, the world’s most populous country, is the world’s third-largest emitter of greenhouse gases (GHGs). Despite employing several energy sources, it still relies heavily on coal, its primary energy source. Given India’s swiftly rising energy demand, this challenges meeting emission reduction targets. In recent years, India has significantly increased investments in renewables like solar and hydrogen. While commendable, these initiatives alone cannot meet the country’s expanding energy demands. In the short term, India must rely on both domestic and imported fossil fuels, with natural gas being the most environmentally friendly option. In this context, this paper attempts to forecast energy consumption, natural gas production, and consumption in India until 2050, using both univariate and multivariate forecasting methods. For multivariate forecasting, we have assumed two alternative possibilities for GDP growth: the business-as-usual and the high-growth scenarios. Each of our forecasts indicates a notable shortfall in the projected production of natural gas compared to the expected demand, implying our results are robust. Our model predicts that nearly 30–50 percent of India’s natural gas consumption will be met by imports, mainly in the form of LNG. Based on these findings, this paper recommends that Indian government policies emphasize increasing domestic natural gas production, importing LNG, and expanding renewable energy resources.
Role of Physico-Chemical and Cellular Conditions on the Bone Repair Potential of Plastically Compressed Collagen Hydrogels
Authors: Mbitta Akoa Daline , Sicard Ludovic , Hélary Christophe , Torrens Coralie , Baroukh Brigitte , Poliard Anne , Coradin Thibaud
Published: February 2024

Since their first description nearly 20 years ago, dense collagen hydrogels obtained by plastic compression have become popular scaffolds in tissue engineering. In particular, when seeded with dental pulp stem cells, they have demonstrated a great in vivo potential in cranial bone repair. Here, we investigated how physico-chemical and cell-seeding conditions could influence the formation and in vitro mineralization of these cellularized scaffolds. A qualitative assessment demonstrated that the gel stability before and after compression was highly sensitive to the conditions of fibrillogenesis, especially initial acid acetic and buffer concentrations. Gels with similar rheological properties but different fibrillar structures that exhibited different stabilities when used for the 3D culture of Stem cells from Human Exfoliated Deciduous teeth (SHEDs) could be prepared. Finally, in our optimal physico-chemical conditions, mineralization could be achieved only using human dental pulp stem cells (hDPSCs) at a high cell density. These results highlight the key role of fibrillogenic conditions and cell type/density on the bone repair potential of cell-laden plastically compressed collagen hydrogels.
In Vitro Viability Tests of New Ecofriendly Nanosystems Incorporating Essential Oils for Long-Lasting Conservation of Stone Artworks
Authors: Bartoli Flavia , Corradi Leonora , Hosseini Zohreh , Privitera Antonella , Zuena Martina , Kumbaric Alma , Graziani Valerio , Tortora Luca , Sodo Armida , Caneva Giulia
Published: February 2024

The study explores the application of natural biocides (oregano essential oil and eugenol, directly applied in solutions or encapsulated within silica nanocapsules) for safeguarding stone cultural heritage from biodeterioration, using green algae (Chlorococcum sp.) and cyanobacteria (Leptolyngbya sp.) as common pioneer biodeteriogens. Core-shell nanocontainers were built for a controlled release of microbicidal agents, a safe application of chemicals and a prolonged efficacy. The qualitative and quantitative evaluations of biocide efficiency at different doses were periodically performed in vitro, after six scheduled intervals of time (until 100 days). The release kinetics of composite biocide-embedding silica nanocapsules were characterized by the UV-Vis spectroscopy technique. Data showed both promising potential and some limitations. The comparative tests of different biocidal systems shed light on their variable efficacy against microorganisms, highlighting how encapsulation influences the release dynamics and the overall effectiveness. Both the essential oils showed a potential efficacy in protective antifouling coatings for stone artifacts. Ensuring compatibility with materials, understanding their differences in biocidal activity and their release rates becomes essential in tailoring gel, microemulsion or coating products for direct on-site application.
Seeking Refuge, Resisting beyond Borders: On Security, Recognition and Rights in Dina Nayeri’s Refuge and The Ungrateful Refugee
Authors: Estevez Yanes Maria Jennifer
Published: February 2024

This article examines the nuanced discourse of hospitality in Dina Nayeri’s works Refuge (2017) and The Ungrateful Refugee (2019), attending to the ethics of interdependency that transcend beyond borders of different natures. By making the limits of hospitality evident, both texts bring forth the ethical implications beyond borders that are present in opposing, yet equally significant paradigms: security and danger—depending on whose interests prevail; recognition and non-recognition—attending to the precarious conditions that potential guests are requested to endure or fulfil to be acknowledged and hosted; and rights and duties—considering borders as exclusive and independent rather than as contact zones. Following Jacques Derrida (2000) Jeffrey Clapp and Emily Ridge (2016), and Judith Butler (2009, 2015, 2016), among others, I will consider the complexities of locating home after forced displacement and the (dis)connection between belonging and identity. In both of Nayeri’s works, the direct experience of displacement becomes key to understanding the need for refuge in the recreation of a home-like experience beyond home and borders. This is particularly evident in the negotiated spaces of vulnerability and resistance that refugees inhabit.
Advances in Orchid Biology: Biotechnological Achievements, Translational Success, and Commercial Outcomes
Authors: Tiwari Pragya , Sharma Abhishek , Bose Subir Kumar , Park Kyeung-Il
Published: February 2024

Orchids constitute the largest and most diverse group of flowering plants and are classified in the family Orchidaceae. Exhibiting significance as the most exotic and ubiquitous flowering plant, the cultivation of orchids on a commercial level is gaining momentum worldwide. In addition to its ornamental and aesthetic value, the orchid industry has successfully generated employment for people in developing countries. Recent advances in biotechnological interventions in orchids have substantially contributed to the development of exotic varieties with novel traits, not to forget the inputs of traditional plant breeding methods and tissue culture approaches. In addition, the scientific developments in orchid biology have remarkably bridged the knowledge gaps in areas of orchid classification, phytochemistry, and cultivation strategies. This has facilitated the commercialization of novel varieties, opening new avenues in the orchid industry, and their global marketing as cut flowers and artificially propagated plants. Orchids constitute the first floriculture crops that revolutionized the orchid industry; however, they also hold several challenges in the natural propagation and conservation of several species that are on the verge of extinction. International organizations like CITES have come forward to address challenges associated with illegal global trade and indiscriminate use of orchid varieties, aiming for conservation and legal commercial goals. This thematic review is one-of-a-kind in providing comprehensive insights into the emerging momentum of orchid biology and how its globalization projects to considerably impact the orchid industry in the coming times. However, it is imperative to understand the challenges in the cultivation and conservation of orchid varieties and ensure legislative guidelines both on domestic and global levels to ensure a multipronged approach to the conservation and commercialization of orchids.
Analysis of Floral Scent Component of Three Iris Species at Different Stages
Authors: Cai Keyu , Ban Zhengjie , Xu Haowen , Chen Wanlin , Jia Wenxu , Zhu Ying , Chen Hongwu
Published: February 2024

The research investigates the variations in floral scent composition among different species and developmental stages of Iris plants: Iris uniflora, Iris typhifolia, and Iris sanguinea. The study analyzes the fragrance components by utilizing electronic nose technology in tandem with headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS). Principal component analysis (PCA), linear discriminant analysis (LDA), and loading analysis are applied to discern whether floral scents of the same Iris species at distinct stages could be differentiated. The results show that the electronic nose significantly distinguishes the aromas from different stages and that there are differences in aroma composition. Gas Chromatography-Mass Spectrometry confirms significant differences in volatile components regarding the three Iris species, with common compounds like alcohols, aromatics, and aldehydes present throughout stages. Notably, nonyl aldehyde, capric aldehyde, 2,4-di-tert-butylphenol, and n-heptadecane are consistently found. Cluster analysis reveals a grouping of decay stage samples of Iris typhifolia and Iris sanguinea due to terpene and ester abundance. Nonyl aldehyde significantly contributes to the aroma profiles of all species, owing to its high odor activity value. The significant content of volatile compounds in these Iris varieties suggests economic and medicinal potential beyond ornamental value, providing references for the development of Iris-scented products, aromatherapy, and the extraction of pharmacologically active substances from Iris.
Exploring the Lived Experiences of Caregiving for Older Family Members by Young Caregivers in Singapore: Transition, Trials, and Tribulations
Authors: Subramaniam Araviinthansai , Mehta Kalyani Kirtikar
Published: February 2024

Amidst population ageing trends and epidemiological transitions, there has been a growing emergence of young family caregivers, about whom most studies have been conducted in Western countries. Their subjective experiences and perceptions toward caregiving remain underexplored in Asia. This qualitative study explored the lived experiences of caregiving for older family members by young caregivers in Singapore. Interpretative phenomenological analysis was employed to collect and analyse data from semi-structured, in-depth interviews with six young adult caregivers aged between 23 and 29. Interviews were supplemented with photo-elicitation techniques to deepen interview discussions and uncover experiential significance. Findings illustrated transitions into caregiving, challenges across role conflicts and expectations amidst developmental tasks and transitions, and navigation of intergenerational conflicts and ambivalence. Although no definitive conclusions can be reached from this small-scale study, the findings offer important insights into the convergence and intensity of young caregivers’ experiences. Given that caregiving challenges are likely to continue amidst Singapore’s rapidly ageing population, these necessitate further in-depth research efforts. Implications for policy and practice across multiple stakeholders interfacing with youth and older adults are presented. A whole-of-society approach is called for to enable young caregivers to realise their full potential while contributing to their ageing families and nation.
Psychological Capital and Turnover Intention: The Mediating Role of Burnout among Healthcare Professionals
Authors: Zambrano-Chumo Laura , Guevara Ruben
Published: February 2024

Psychological capital (PsyCap) has been identified as an individual’s positive psychological state of development that can help to reduce negative organizational outcomes. However, there is still a gap in understanding how PsyCap influences different aspects of organizations. This study investigates the mediating role of burnout in the relationship between PsyCap and turnover intentions among healthcare professionals. A cross-sectional survey was conducted among 320 healthcare professionals. The estimation of the relationships between PsyCap, burnout, and turnover intentions was obtained through structural equation modelling (SEM). A mediation analysis was carried out using bootstrapping procedures. The results show that burnout has a significant and positive effect on turnover intention and PsyCap has a significant and negative effect on burnout. Moreover, burnout fully mediates the relationship between PsyCap and turnover intention. These findings suggest that PsyCap can effectively reduce negative outcomes like burnout, but its positive impact may be limited when considering other outcomes such as turnover intention.
Protein Profiling of Placental Extracellular Vesicles in Gestational Diabetes Mellitus
Authors: Kandzija Neva , Payne Sophie , Cooke William R. , Seedat Faheem , Fischer Roman , Vatish Manu
Published: February 2024

Throughout pregnancy, some degree of insulin resistance is necessary to divert glucose towards the developing foetus. In gestational diabetes mellitus (GDM), insulin resistance is exacerbated in combination with insulin deficiency, causing new-onset maternal hyperglycaemia. The rapid reversal of insulin resistance following delivery strongly implicates the placenta in GDM pathogenesis. In this case–control study, we investigated the proteomic cargo of human syncytiotrophoblast-derived extracellular vesicles (STBEVs), which facilitate maternal–fetal signalling during pregnancy, in a UK-based cohort comprising patients with a gestational age of 38–40 weeks. Medium/large (m/l) and small (s) STBEVs were isolated from GDM (n = 4) and normal (n = 5) placentae using ex vivo dual-lobe perfusion and subjected to mass spectrometry. Bioinformatics were used to identify differentially carried proteins and mechanistic pathways. In m/lSTBEVs, 56 proteins were differently expressed while in sSTBEVs, no proteins reached statistical difference. Differences were also observed in the proteomic cargo between m/lSTBEVs and sSTBEVs, indicating that the two subtypes of STBEVs may have divergent modes of action and downstream effects. In silico functional enrichment analysis of differentially expressed proteins in m/lSTBEVs from GDM and normal pregnancy found positive regulation of cytoskeleton organisation as the most significantly enriched biological process. This work presents the first comparison of two populations of STBEVs’ protein cargos (m/l and sSTBEVs) from GDM and normal pregnancy isolated using placenta perfusion. Further investigation of differentially expressed proteins may contribute to an understanding of GDM pathogenesis and the development of novel diagnostic and therapeutic tools.
Mutations in the FOXO3 Gene and Their Effects on Meat Traits in Gannan Yaks
Authors: Qi Youpeng , Wang Xiangyan , Zhu Chune , Mi Baohong , Cui Changze , Chen Shaopeng , Zhao Zhidong , Zhao Fangfang , Liu Xiu , Wang Jiqing , Shi Bingang , Hu Jiang
Published: February 2024

The FOXO3 gene, a prominent member of the FOXO family, has been identified as a potential quantitative trait locus for muscle atrophy and lipid metabolism in livestock. It is also considered a promising candidate gene for meat quality traits such as Warner–Bratzler shear force (WBSF) and water holding capacity (WHC). The aim of this study was to identify sequence mutations in the FOXO3 gene of yaks and to analyze the association of genotypes and haplotypes with meat traits such as WBSF and WHC. Quantitative reverse-transcriptase PCR (RT-qPCR) was applied to determine the expression levels of FOXO3 in yak tissues, with the results revealing a high expression in the yak longissimus dorsi muscle. Exons of the FOXO3 gene were then sequenced in 572 yaks using hybrid pool sequencing. Five single nucleotide polymorphisms were identified. Additionally, four effective haplotypes and four combined haplotypes were constructed. Two mutations of the FOXO3 gene, namely C>G at exon g.636 and A>G at exon g.1296, were associated with cooked meat percentage (CMP) (p < 0.05) and WBSF (p < 0.05), respectively. Furthermore, the WBSF of the H2H3 haplotype combination was significantly lower than that of other combinations (p < 0.05). The findings of this study suggest that genetic variations in FOXO3 could be a promising biomarker for improving yak meat traits.
Application of Flow Cytometry Using Advanced Chromatin Analyses for Assessing Changes in Sperm Structure and DNA Integrity in a Porcine Model
Authors: Lacalle Estíbaliz , Fernández-Alegre Estela , Gómez-Giménez Belén , Álvarez-Rodríguez Manuel , Martín-Fernández Beatriz , Soriano-Úbeda Cristina , Martínez-Pastor Felipe
Published: February 2024

Chromatin status is critical for sperm fertility and reflects spermatogenic success. We tested a multivariate approach for studying pig sperm chromatin structure to capture its complexity with a set of quick and simple techniques, going beyond the usual assessment of DNA damage. Sperm doses from 36 boars (3 ejaculates/boar) were stored at 17 °C and analyzed on days 0 and 11. Analyses were: CASA (motility) and flow cytometry to assess sperm functionality and chromatin structure by SCSA (%DFI, DNA fragmentation; %HDS, chromatin maturity), monobromobimane (mBBr, tiol status/disulfide bridges between protamines), chromomycin A3 (CMA3, protamination), and 8-hydroxy-2′-deoxyguanosine (8-oxo-dG, DNA oxidative damage). Data were analyzed using linear models for the effects of boar and storage, correlations, and multivariate analysis as hierarchical clustering and principal component analysis (PCA). Storage reduced sperm quality parameters, mainly motility, with no critical oxidative stress increases, while chromatin status worsened slightly (%DFI and 8-oxo-dG increased while mBBr MFI—median fluorescence intensity—and disulfide bridge levels decreased). Boar significantly affected most chromatin variables except CMA3; storage also affected most variables except %HDS. At day 0, sperm chromatin variables clustered closely, except for CMA3, and %HDS and 8-oxo-dG correlated with many variables (notably, mBBr). After storage, the relation between %HDS and 8-oxo-dG remained, but correlations among other variables disappeared, and mBBr variables clustered separately. The PCA suggested a considerable influence of mBBr on sample variance, especially regarding storage, with SCSA and 8-oxo-dG affecting between-sample variability. Overall, CMA3 was the least informative, in contrast with results in other species. The combination of DNA fragmentation, DNA oxidation, chromatin compaction, and tiol status seems a good candidate for obtaining a complete picture of pig sperm nucleus status. It raises many questions for future molecular studies and deserves further research to establish its usefulness as a fertility predictor in multivariate models. The usefulness of CMA3 should be clarified.
Polyploidization: A Biological Force That Enhances Stress Resistance
Authors: Li Xiaoying , Zhang Luyue , Wei Xiaochun , Datta Tanusree , Wei Fang , Xie Zhengqing
Published: February 2024

Organisms with three or more complete sets of chromosomes are designated as polyploids. Polyploidy serves as a crucial pathway in biological evolution and enriches species diversity, which is demonstrated to have significant advantages in coping with both biotic stressors (such as diseases and pests) and abiotic stressors (like extreme temperatures, drought, and salinity), particularly in the context of ongoing global climate deterioration, increased agrochemical use, and industrialization. Polyploid cultivars have been developed to achieve higher yields and improved product quality. Numerous studies have shown that polyploids exhibit substantial enhancements in cell size and structure, physiological and biochemical traits, gene expression, and epigenetic modifications compared to their diploid counterparts. However, some research also suggested that increased stress tolerance might not always be associated with polyploidy. Therefore, a more comprehensive and detailed investigation is essential to complete the underlying stress tolerance mechanisms of polyploids. Thus, this review summarizes the mechanism of polyploid formation, the polyploid biochemical tolerance mechanism of abiotic and biotic stressors, and molecular regulatory networks that confer polyploidy stress tolerance, which can shed light on the theoretical foundation for future research.
Exploring the Roles of Vitamins C and D and Etifoxine in Combination with Citalopram in Depression/Anxiety Model: A Focus on ICAM-1, SIRT1 and Nitric Oxide
Authors: Gammoh Omar , Ibrahim Aseel , Yehya Ala , Alqudah Abdelrahim , Qnais Esam , Altaber Sara , Alrob Osama Abo , Aljabali Alaa A. A. , Tambuwala Murtaza M.
Published: February 2024

The study of intercellular adhesion molecule-1 (ICAM-1) and SIRT1, a member of the sirtuin family with nitric oxide (NO), is emerging in depression and anxiety. As with all antidepressants, the efficacy is delayed and inconsistent. Ascorbic acid (AA) and vitamin D (D) showed antidepressant properties, while etifoxine (Etx), a GABAA agonist, alleviates anxiety symptoms. The present study aimed to investigate the potential augmentation of citalopram using AA, D and Etx and related the antidepressant effect to brain and serum ICAM-1, SIRT1 and NO in an animal model. BALB/c mice were divided into naive, control, citalopram, citalopram + etx, citalopram + AA, citalopram + D and citalopram + etx + AA + D for 7 days. On the 8th day, the mice were restrained for 8 h, followed by a forced swim test and marble burying test before scarification. Whole-brain and serum expression of ICAM-1, Sirt1 and NO were determined. Citalopram’s antidepressant and sedative effects were potentiated by ascorbic acid, vitamin D and etifoxine alone and in combination (p < 0.05), as shown by the decreased floating time and rearing frequency. Brain NO increased significantly (p < 0.05) in depression and anxiety and was associated with an ICAM-1 increase versus naive (p < 0.05) and a Sirt1 decrease (p < 0.05) versus naive. Both ICAM-1 and Sirt1 were modulated by antidepressants through a non-NO-dependent pathway. Serum NO expression was unrelated to serum ICAM-1 and Sirt1. Brain ICAM-1, Sirt1 and NO are implicated in depression and are modulated by antidepressants.