bluuebunny/crossref_metadata_2025 huggingface dataset:
Research funding in the Middle East and North Africa: analyses of acknowledgments in scientific publications indexed in the Web of Science (2008–2021)
Authors: El-Ouahi Jamal
Published: May 2024

Funding acknowledgments are important objects of study in the context of science funding. This study uses a mixed-methods approach to analyze the funding acknowledgments found in 2.3 million scientific publications published between 2008 and 2021 by authors affiliated with research institutions in the Middle East and North Africa (MENA). The aim is to identify the major funders, assess their contribution to national scientific publications, and gain insights into the funding mechanism in relation to collaboration and publication. Publication data from the Web of Science is examined to provide key insights about funding activities. Saudi Arabia and Qatar lead the region, as about half of their publications include acknowledgments to funding sources. Most MENA countries exhibit strong linkages with foreign agencies, mainly due to a high level of international collaboration. The distinction between domestic and international publications reveals some differences in terms of funding structures. For instance, Turkey and Iran are dominated by one or two major funders whereas a few other countries like Saudi Arabia showcase multiple funders. Iran and Kuwait are examples of countries where research is mainly funded by domestic funders. The government and academic sectors mainly fund scientific research in MENA whereas the industry sector plays little or no role in terms of research funding. Lastly, the qualitative analyses provide more context into the complex funding mechanism. The findings of this study contribute to a better understanding of the funding structure in MENA countries and provide insights to funders and research managers to evaluate the funding landscape.
Valorization of Furfural to Obtain High Value-Added Products with ZrO2- and Al2O3-Pillared Clays
Authors: Sih Salima Es , Franco-Duro Francisco , García-Sancho Cristina , García-Mateos Francisco José , Rosas Juana María , Moreno-Tost Ramón , Maireles-Torres Pedro , Cecilia Juan Antonio
Published: May 2024

Two phyllosilicates (montmorillonite and saponite) have been selected as starting materials to synthesize ZrO2- and Al2O3-pillared clays by the insertion of polyoxocations and subsequent calcination. These pillared clays display higher surface area, porosity and available acid sites in comparison to their respective raw clays. These samples were tested in the one-pot process to transform furfural into obtain valuable products. The incorporation of ZrO2 allows to reach the highest furfural conversion values, with high yields towards furfuryl alcohol (FOL) at shorter reaction times, whereas the formation of i-propyl furfuryl ether (iPFE) is favored at longer times, attaining iPFE yields of about 50% after 24 h at 170 ºC, using isopropanol as sacrificing alcohol.
Activating Co-production of Rural Service Delivery: Examining the Role of Nonprofit Organizations Using a Case Study in China
Authors: Liu Lu , Liu Chuang , Wang Yahua
Published: May 2024

Although co-production between the government and society can improve service outcomes, the two parties may lack the willingness and the capacity to cooperate. Can nonprofit organizations play an active role in facilitating government–citizen co-production? If so, how? The role of nonprofits in social services co-production has received increasing attention, but studies on developing countries are limited. Therefore, this study conducts an in-depth case study of a rural social work institute in Z village, Beijing, China. Using on-site observations, semi-structured interviews, and secondhand materials, we found that social workers adopted four strategies to engage community officials and rural residents in service co-production. They established trustworthy relationships, facilitated effective communication, fostered shared motivation, and built co-productive capacity. The results showed that nonprofit organizations use third-party roles and professional skills to shape government-citizen interactions through service co-production. These findings can improve rural service provision in developing countries.
Police compliance with the social contract as an antecedent of police legitimacy, of satisfaction with the police, and of willingness to obey: findings from a two-stage vignette experiment
Authors: Jonathan-Zamir Tal , Perry Gali , Kaplan-Damary Naomi , Weisburd David
Published: May 2024

Objectives

Test the effects of police compliance with the restrictions on their authority embedded in Social Contract Theory (SCT) on police legitimacy, satisfaction with the police, and willingness to obey police officers.

Methods

A two-stage vignette experiment. In the first, 1356 participants were randomly assigned to one of four study conditions: control, procedural justice (PJ), police performance (PP), and compliance with the social contract (SC). In the follow-up stage, 660 participants were randomly assigned to either a control or proportionality/least restrictive alternative (PL) condition.

Results

Compared to the control condition, the SC manipulation improved evaluations of all three dependent variables. For legitimacy, its effect was no different than that of PJ and PP. For satisfaction, it was similar to that of PP and stronger than the effect of PJ. For willingness to obey, it was no different than the effect of PJ, but stronger than that of PP. The second stage of the experiment revealed that compared to the control condition, the two unique components of the SC model (PL) significantly improved the scores of all three DVs.

Conclusions

Police adherence to the SC, and particularly to its two unique components, is an important determinant of police legitimacy and other outcomes, and should thus be acknowledged by researchers and practitioners. Future research is encouraged to disentangle the relative effects of the “building blocks” making up PJ, PP, and compliance with the SC.
Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites
Authors: Yuan Ke-Hai , Zhang Zhiyong , Wang Lijuan
Published: May 2024

Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models are determined by the subjectively assigned scales of the latent variables. Thus, conclusions in existing studies comparing structural equation modeling (SEM) and path analysis with weighted composites (PAWC) on the accuracy and precision of the estimates of the indirect effect in mediation analysis have little validity. Instead of comparing the size on estimates of the indirect effect between SEM and PAWC, this article compares parameter estimates by signal-to-noise ratio (SNR), which does not depend on the metrics of the latent variables once the anchors of the latent variables are determined. Results show that PAWC yields greater SNR than SEM in estimating and testing the indirect effect even when measurement errors exist. In particular, path analysis via factor scores almost always yields greater SNRs than SEM. Mediation analysis with equally weighted composites (EWCs) also more likely yields greater SNRs than SEM. Consequently, PAWC is statistically more efficient and more powerful than SEM in conducting mediation analysis in empirical research. The article also further studies conditions that cause SEM to have smaller SNRs, and results indicate that the advantage of PAWC becomes more obvious when there is a strong relationship between the predictor and the mediator, whereas the size of the prediction error in the mediator adversely affects the performance of the PAWC methodology. Results of a real-data example also support the conclusions.
A unique case of suicide by crossbow with indirect triggering and cranial injury: forensic issues and literature review
Authors: Stefano Tambuzzi , Guendalina Gentile , Riccardo Primavera , Riccardo Zoja
Published: May 2024

Currently, crossbows are involved in some deaths, including suicides. These are rare events for which an accurate study of the body discovery site and reconstruction of the triggering mechanism of the crossbow represent crucial medicolegal elements. In this report, a unique case of suicide by crossbow is presented, in which the male victim constructed an elaborate scenario. He arranged two tripod stands to hold the crossbow at the height of his head, and a third to support a hollow tube positioned in front of the muzzle of the crossbow to direct the bolt. After positioning the center of the forehead in front of the hollow tube, the trigger was activated from a distance using a hooked metal rod. The methods used prompted a literature review on suicide by crossbow, which revealed only 14 reports from 1993 to 2023. The head and chest were the main target areas, and in almost all cases, the victims directly pulled the trigger with their finger. Only one case of indirect triggering was found, with the chest as the target. Therefore, in this scenario, the case presented stands as a unique report, due to the elaborate system devised to carry out the suicide and accurately strike the predetermined target.
Expression of Dystrophin Dp71 Splice Variants Is Temporally Regulated During Rodent Brain Development
Authors: González-Reyes Mayram , Aragón Jorge , Sánchez-Trujillo Alejandra , Rodríguez-Martínez Griselda , Duarte Kevin , Eleftheriou Evangelia , Barnier Jean-Vianney , Naquin Delphine , Thermes Claude , Romo-Yáñez José , Roger Jérome E. , Rendon Alvaro , Vaillend Cyrille , Montanez Cecilia
Published: May 2024

Dystrophin Dp71 is the major product of the Duchenne muscular dystrophy (DMD) gene in the brain, and its loss in DMD patients and mouse models leads to cognitive impairments. Dp71 is expressed as a range of proteins generated by alternative splicing of exons 71 to 74 and 78, classified in the main Dp71d and Dp71f groups that contain specific C-terminal ends. However, it is unknown whether each isoform has a specific role in distinct cell types, brain regions, and/or stages of brain development. In the present study, we characterized the expression of Dp71 isoforms during fetal (E10.5, E15.5) and postnatal (P1, P7, P14, P21 and P60) mouse and rat brain development. We finely quantified the expression of several Dp71 transcripts by RT-PCR and cloning assays in samples from whole-brain and distinct brain structures. The following Dp71 transcripts were detected: Dp71d, Dp71d∆71, Dp71d∆74, Dp71d∆71,74, Dp71d∆71−74, Dp71f, Dp71f∆71, Dp71f∆74, Dp71f∆71,74, and Dp71fΔ71−74. We found that the Dp71f isoform is the main transcript expressed at E10.5 (> 80%), while its expression is then progressively reduced and replaced by the expression of isoforms of the Dp71d group from E15.5 to postnatal and adult ages. This major finding was confirmed by third-generation nanopore sequencing. In addition, we found that the level of expression of specific Dp71 isoforms varies as a function of postnatal stages and brain structure. Our results suggest that Dp71 isoforms have different and complementary roles during embryonic and postnatal brain development, likely taking part in a variety of maturation processes in distinct cell types.
Clinical management of iron deficiency anemia in Japan: iron prescription patterns, treatment effectiveness, and assessments
Authors: Kosugi Miyako , Takezawa Ryo , Shiota Shun , Tsuchikawa Masaru , Ikuta Katsuya
Published: May 2024

Iron deficiency anemia is one of the most common types of anemia, but real-world clinical management practices in Japan are unclear. This study retrospectively explored iron prescription patterns, treatment effectiveness, and assessments. Patients with at least one treatment period between September 2020 and September 2022 were included and classified into three groups (ferric carboxymaltose [FCM]: 7437 patients, saccharated ferric oxide [SFO]: 98,648 patients, and oral iron: 359,547 patients). Iron-related laboratory values over time and testing proportions were evaluated. Median baseline hemoglobin levels were lowest with FCM (FCM: 8.10 g/dL, SFO: 8.70 g/dL, oral iron: 9.70 g/dL), but changes in hemoglobin levels by 12 weeks were greatest with FCM (FCM: 3.20 g/dL, SFO: 2.60 g/dL, oral iron: 1.70 g/dL). The median serum ferritin level at 8 weeks after FCM treatment was 43.70 ng/mL for ≤500 mg, versus 123.30 ng/mL for >500 to ≤1500 mg. All groups had a low proportion of serum ferritin and transferrin saturation (TSAT) testing at diagnosis (<38%), which decreased further for post-treatment assessment (<24%). This study suggests the importance of prescribing an appropriate total iron cumulative dose per the package insert, along with diagnosis and assessments based on serum ferritin/TSAT.
Application of water quality index and statistical-hydrochemical techniques in groundwater assessment of the Quaternary aquifer, southwest Nile Delta of Egypt
Authors: Hussein Hend , El Maghraby Magdy M. M. S. , Abu Salem Hend S.
Published: May 2024

The objective of the current study is to investigate the hydrogeochemistry of the Quaternary groundwater and evaluating its suitability for drinking and irrigation needs using statistical analysis, water quality indicators and physicochemical parameters, in west of the Nile Delta, Egypt. The study area has high population growth and agricultural activities, which require groundwater protection, and predicting probable environmental problems. For these reasons, 54 groundwater samples were collected during April 2021. Hierarchical cluster analysis, Pearson, and factor analysis used for statistical analysis. Biplots, Gibbs and Piper diagrams were used to infer the geochemical processes controlling groundwater chemistry. The groundwater is affected by silicate weathering, reveres ion exchange, dissolution of CO2, and recharge from the Nile. According to the WQICCME drinking value, the groundwater ranged between fair to marginal water quality. The distribution of integrated-weight water quality index of the samples, showed that it is excellent for irrigation (< 25). The nine physicochemical parameters sodium percent (Na%), permeability index, sodium adsorption ratio, Kelley Index, residual sodium carbonate, magnesium hazard, Potential Salinity, Corrosive Ratio and Chloro-alkaline Indices revealed that most of the groundwater are of good quality and can be safely used for agricultural activities, albeit few samples due the west needs some treatment. It is recommended to minimize the fertilizers and nutrients use to decrease the anthropogenic impact on the groundwater. The reuse of irrigation water without treatment should be limited. As well, the pumping rates should be controlled to avoid aquifer salinization.
Academic literacy in enabling education programs in Australian universities: a shared pedagogy
Authors: Davis Charmaine , Lawson Kathryn , Duffy Lisa
Published: May 2024

Widening participation in higher education has led to the global expansion of universities, increased student and program diversity, and greater provision of flexible pathways into university. Critical to supporting a growing student body is helping all students develop their ability to communicate confidently and effectively in their academic communities. This research employs a collaborative benchmarking framework to explore academic literacy instruction in pathway or ‘enabling’ programs across nine Australian universities. While prevailing assumptions hold that such programs are overly diverse, the findings demonstrate that these programs have developed remarkably similar approaches; in particular, the investigation found that the programs all drew on established academic literacy models and reflected an emerging disciplinary coherence across the enabling education sector, despite the lack of a formal curriculum and standards framework.Kindly check and confirm the processed Article title is correct.This is correct
Urologie aan de Hollandse kust
Authors: Mulders Peter F.A.
Published: May 2024

Samenvatting

Voor u ligt nog steeds het papieren tijdschrift met daar- in de abstracts voor de voorjaarsvergadering van de NVU 2024. Opnieuw een mooi aanbod van onderzoek van Nederlandse bodem.
Abstracts Voorjaarsvergadering NVU, 31 mei 2024
Authors:   Bohn Stafleu van Loghum
Published: May 2024

Samenvatting

Het bereiken van een steenvrije status is het doel van de percutane nefrolitholapaxie (PCNL), omdat resterend steenmateriaal na PCNL kan leiden tot additionele morbiditeit of steengroei. Met behulp van cone-beam computertomografie CBCT) in een hybride operatiekamer kunnen intraoperatieve dwarsdoorsnede- en driedimensionale beelden van de urinewegen worden vervaardigd, wat de intraoperatieve beoordeling van de steenvrije status verbetert en additionele steenextractie mogelijk maakt.
A techno-economic review of direct air capture of moisture processes: sustainable versus energy-intensive methods
Authors: Webber M. , Aliyu A. , Jin S.-H. , Sadiq M. M. , Sohani B. , Elseragy A.
Published: May 2024

One of the biggest challenges that the world faces today is the availability of fresh and potable water in arid, semi-arid, and deprived regions. This is a challenge that concerns not only economic development but also social development spanning several UN SDGs. This article presents a detailed critical and systematic review of the technologies for producing industrial and potable water. Emphasis is made on direct air capture (DAC) methods as the next frontier in sustainable water production against the backdrop of traditional energy intensive methods such as desalination. Comparisons using a variety of techno-economic, scale, geographic, and environmental metrics are carried out. While market reports suggest that investments and market value of DAC technologies will continuously rise, these data only extend the next 5–10 years. However, using this data, a projection was made by the authors on various scenarios leading to 2050. At 2030, best projections fall short of UN SDG 6 predictions for a four-fold increase (from 2020 levels) required to sustain populations. The review notes that DAC has the potential to be an attractive solution for the current water crisis (in some cases drought) experienced in various regions on earth. The report finds that while several moisture DAC technologies (e.g., fog and dew water harvesting) are currently being developed, they are only being implemented on small scales around the world—with huge implications for arid and deprived regions of the world.
Investigating the Nexus Between GHG Emissions and AFOLU Activities: New Insights from C-Vine Copula Approach
Authors: Pakrooh Parisa , Kamal Muhamad Abdul , Magazzino Cosimo
Published: May 2024

The greenhouse gas (GHG) emissions from agriculture, forestry, and other land use (AFOLU) account for more than 10% of the total GHG emissions in Iran. To reduce the environmental impact, assessments of Iran’s GHG emissions status are critical for identifying the national policies to achieve Sustainable Development Goals (SDGs) in the bio-based industry. However, there is no study exploring the dependency between AFOLU and GHG emissions in Iran by using the Vine Copula approach. Hence, the study aims to examine the causality direction and correlation structure among selected horticulture, farming crops, livestock, and poultry products and carbon dioxide (CO2), nitrogen dioxide (N2O), and methane emissions (CH4) in the Iranian agriculture sector over the period 1961–2019, to determine which crops or products are more responsible to deteriorate the environment. The empirical strategy used a C-Vine Copula model to measure the correlations together with the Granger causality (GC) test to analyze the causality links. According to the empirical findings, several crops and products are the sources of emissions. Rice and vegetable cultivations, as well as meat and milk products (Kendall’s τ values of 0.37, 0.33, 0.31, and 0.31, respectively), are the leading sources of CH4 emissions. Legumes, eggs, maize, rice, and milk enhance N2O emissions, while CO2 emissions are caused by apple, potato, and apricot crops (Kendall’s τ values of 0.22, 0.18, and 0.16, respectively). Finally, based on the findings, policy implications are offered.
Threshold investigation of shell thickness for enhanced mechanical and tribological performance in 3D-printed curved sandwich structures
Authors: Dobos József , Hanon Muammel M. , Keresztes Róbert Zsolt , Oldal István
Published: May 2024

Global prominence has been attained by additive manufacturing technology in recent years, driven by its environmental benefits and machining advantages when compared to traditional subtractive methods. Fused deposition modeling (FDM) technology, primarily utilized in polymer and polymer composite 3D printing, allows for precise control of material distribution within components. In this study, mechanical and tribological behaviors of 3D-printed structures are investigated, yielding valuable insights applicable to practical scenarios. The study identifies threshold limits for layer thickness ratios in three-layered curved sandwich structures, which directly impact their specific load capacity. Stress distribution within 3D-printed PLA discs can be accurately predicted by a saturation function dependent on shell thickness, with material-specific constants. Beyond a critical shell thickness, the impact of increased shell thickness on local tribological properties is found to be negligible. These findings generalize effectively to structures characterized by robust outer shells and weaker inner infills. Connections are drawn between tribological behavior and contact mechanical properties, opening avenues for future research involving nonlinear material modeling and advanced simulations. This study contributes to a deeper understanding of 3D printing and polymer tribology while highlighting the transformative potential of additive manufacturing in various industries, offering cost-effective and resource-efficient solutions for optimized mechanical performance.
Constructive Refoulement as Disguised Voluntary Return: The Internalised Externalisation of Migrants
Authors: Negishi Yota
Published: May 2024

This paper purports to extend the concept of constructive refoulement in the context of externalised migration policies. This concept has been recognised in jurisprudence at the domestic, regional and international levels, and has developed through State practice as well as the practice of regional and international organisations. In the externalisation of migration policies, constructive refoulement becomes evident in both visible and invisible prisons: the United States-Mexico partnership in the Southern Border Programme creates a situation where asylum seekers eventually abandon the hope of continuing their asylum procedures and reluctantly return to other places. The Australian offshore asylum processing system, which has been remodelled by the UK, adopts the kyriarchical system where asylum seekers themselves control their self-return to their country of origin as a result of a combined situation of severe discipline and hatred between officials and inmates as well as between the inmates themselves. Meanwhile, the EU’s Reception Conditions Directive scheme incorporates migrants in a planned destitution scenario where they are forced to choose to leave Europe due to poor socio-economic conditions. The Japanese combination of karihomen and kanrisochi also creates a planned destitute environment which compels asylum seekers themselves to seek their return by depriving them of their basic needs. Such governmentality of internalising externalisation by the Global North must be critically assessed in terms of the developing concept of constructive refoulement implied under international refugee and human rights law.
Mapping the terrain of hate: identifying and analyzing online communities and political parties engaged in hate speech against Muslims and LGBTQ+ communities
Authors: Unlu Ali , Truong Sophie , Kotonen Tommi
Published: May 2024

This study investigates the impact of X on political discourse and hate speech in Finland, focusing on Muslim and LGBTQ+ communities from 2018 to 2023. During this period, these groups have experienced increased hate speech and a concerning surge in hate crimes. Utilizing network analysis methods, we identified online communities and examined the interactions between Finnish MPs and these communities. Our investigation centered on uncovering the emergence of networks propagating hate speech, assessing the involvement of political figures, and exploring the formation dynamics of digital communities. Employing agenda-setting theory and methodologies including text classification, topic modeling, network analysis, and correspondence analysis, the research uncovers varied communication patterns in retweet and mention networks. Retweet networks tend to be more fragmented and smaller, with participation primarily from far-right Finns Party MPs, whereas mention networks exhibit wider political representation, including members from all parties. Findings highlight the Finns Party MPs' significant role in fostering divisive, emotionally charged communications within politically segregated retweet communities, contrasting with their broader engagement in mention networks. The study underscores the necessity for cross-party efforts to combat hate speech, promote inclusive dialogue, and mitigate political polarization.
Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection
Authors: Nakanishi Keiichi , Shiroma Ryo , Hayakawa Tokihisa , Katafuchi Ryoya , Tokunaga Terumasa
Published: May 2024

The external attention mechanism offers a promising approach to enhance image anomaly detection (Hayakawa et al., in: IMPROVE, pp. 100-–110, 2023). Nevertheless, the effectiveness of this method is contingent upon the judicious selection of an intermediate layer with external attention. In this study, we performed a comprehensive series of experiments to clarify the mechanisms through which external attention improves detection performance. We assessed the performance of the LEA-Net (Hayakawa et al., in: IMPROVE, pp. 100–110, 2023), which implements layer-wise external attention, using MVTec AD and Plant Village datasets. The detection performances of the LEA-Net were compared with that of the baseline model under different anomaly maps generated by three unsupervised approaches. In addition, we investigated the relationship between the detection performance of LEA-Net and the selection of an attention point, which means an intermediate layer where external attention is applied. The findings reveal that the synergy between the dataset and the generated anomaly map influenced the effectiveness of the LEA-Net. For poorly localized anomaly maps, the selection of the attention point becomes a pivotal factor in determining detection efficiency. At shallow attention points, a well-localized attention map successfully notably improves the detection performance. For deeper attention points, the overall intensity of the attention map is essential; this intensity can be substantially amplified by layer-wise external attention, even for a low-intensity anomaly map. Overall, the results suggest that for layer-wise external attention, the positional attributes of anomalies hold greater significance than the overall intensity or visual appearance of the anomaly map.
Artificial neural network modelling of natural gas dehydration process
Authors: Goh Brandon Z. H. , Elyas Rafil , Hamid Anuar , Foo Dominic C. Y.
Published: May 2024

A multi-input–multi-output artificial neuron network (MIMO-ANN) model has been developed for process monitoring and improvement on a natural gas glycol dehydration process. The MIMO-ANN model was based on a steady-state process simulation model constructed in commercial software Aspen HYSYS. A set of training data was generated with the converged simulation model for the training of the MIMO-ANN model in Python. The process input of the model includes lean glycol recirculation rate and purity along with wet gas inlet pressure. On the other hand, the process output considered includes dehydrated gas water and aromatics content, dehydrated gas hydrate formation temperature and water dew point, stripping gas flow rate as well as reboiler duty. The overall mean squared error (MSE) of the MIMO-ANN model was calculated as 1.79. The best-fit line that highly overlaps with a 45° diagonal line is constructed with a correlation coefficient (R2) score of more than 0.999 for all studied process output testing datasets. The mean absolute percentage error (MAPE) of the predicted outputs is generally less than 1%, except for dehydrated gas water dew point (16.63%) and stripping gas flow rate (11.55%), due to error predictions attempted on pseudo-zero values. This successfully displays an exceptional predictive performance of the MIMO-ANN model developed in this work which can be further deployed as an online dashboard for real-time monitoring tool.
Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders
Authors: Zheng Junjie , Zong Xiaofen , Tang Lili , Guo Huiling , Zhao Pengfei , Womer Fay Y. , Zhang Xizhe , Tang Yanqing , Wang Fei
Published: May 2024

Background

Mood disorders are characterized by great heterogeneity in clinical manifestation. Uncovering such heterogeneity using neuroimaging-based individual biomarkers, clinical behaviors, and genetic risks, might contribute to elucidating the etiology of these diseases and support precision medicine.

Methods

We recruited 174 drug-naïve and drug-free patients with major depressive disorder and bipolar disorder, as well as 404 healthy controls. T1 MRI imaging data, clinical symptoms, and neurocognitive assessments, and genetics were obtained and analyzed. We applied regional gray matter volumes (GMV) and quantile normative modeling to create maturation curves, and then calculated individual deviations to identify subtypes within the patients using hierarchical clustering. We compared the between-subtype differences in GMV deviations, clinical behaviors, cell-specific transcriptomic associations, and polygenic risk scores. We also validated the GMV deviations based subtyping analysis in a replication cohort.

Results

Two subtypes emerged: subtype 1, characterized by increased GMV deviations in the frontal cortex, cognitive impairment, a higher genetic risk for Alzheimer's disease, and transcriptionally associated with Alzheimer's disease pathways, oligodendrocytes, and endothelial cells; and subtype 2, displaying globally decreased GMV deviations, more severe depressive symptoms, increased genetic vulnerability to major depressive disorder and transcriptionally related to microglia and inhibitory neurons. The distinct patterns of GMV deviations in the frontal, cingulate, and primary motor cortices between subtypes were shown to be replicable.

Conclusions

Our current results provide vital links between MRI-derived phenotypes, spatial transcriptome, genetic vulnerability, and clinical manifestation, and uncover the heterogeneity of mood disorders in biological and behavioral terms.
Review of selected research in applied linguistics published in Australia (2015–2022)
Authors: Oliver Rhonda , Chen Honglin , Dovchin Sender
Published: May 2024

This article provides a review of research in applied linguistics published in Australia in the period 2015–2022. Primarily, it is based on articles from Australian publications as material from other sources is more widely available to an international audience. The research has been published in such journals as the Australian Journal of Language and Literacy, Australian Review of Applied Linguistics (ARAL), BABEL, English in Australia, Papers in Language Testing and Assessment and TESOL in Context. Five key areas of research are discussed: First Nations peoples and their multilingualism, language and migration, language testing and assessment, language curricula and pedagogy, and teacher development, and their identity and pedagogical beliefs.
Error analysis of dead reckoning navigation system by considering uncertainties in an underwater vehicle's sensors
Authors: Gharib Mohammad Reza , Fard Mahmoud Ardekani , Koochi Ali
Published: May 2024

In this paper, a complete introduction to the dead reckoning navigation technique is offered after a discussion of the many forms of navigation, and the benefits and drawbacks associated with each of those types of navigation. After that, the dead reckoning navigation solution is used as an option that is both low-cost and makes use of the sophisticated equations that are used by the system. Moreover, to achieve the highest level of accuracy in navigation, an investigation of navigation errors caused by dead reckoning is calculated. Employing the suggested dead reckoning navigation system, the final position of an underwater vehicle can be established with a high degree of accuracy by using experimental data (from sensors) and the uncertainties that are associated with the system. Finally, to illustrate the correctness of the dead reckoning navigation process, the system error analysis as uncertainty that was carried out using experimental data using the dead reckoning navigation technique is compared with GPS data.
Dimensions of Transnational Feminism: Autonomous Organizing, Multilateralism and Agenda-Setting in Global Civil Society
Authors: Kelly-Thompson Kaitlin , Lusvardi Amber , Forester Summer , Laurel Weldon S.
Published: May 2024

The importance and impact of feminist mobilization across borders is well documented, but the impact of autonomy as an aspect of such organizing has not been explored in the transnational context. We argue that to understand the impact of transnational feminist mobilization, at least two distinct types of feminist mobilization require further conceptual development and empirical exploration in the transnational context, namely, autonomous as contrasted with multilateral mobilization. We offer a conceptual framework for distinguishing and studying these two forms. Further, using a mixed-methods study design, we empirically distinguish domestic and transnational dimensions of feminist activism and illuminate the impact of both multilateral feminist organizing and autonomous feminist organizing in the transnational space. Our analysis reveals that domestic and transnational organizing are distinct but related phenomena. We also find that in online organizing spaces, autonomous feminist campaigns amplify the messaging of geographically dispersed grassroots and individual activists more than multilateral ones. It further suggests that autonomous movements may offer more potential for representing marginalized groups of women, though this potential may not always be realized. The paper offers new concepts and empirical insights for the study of transnational feminism, thereby enabling a new research agenda. Further, this research contributes to the study of the ways that Transnational Social Movements can enrich global civil society and deepen global democracy.
Morality in the Refugee Regime? Arguing for More (Political) Realism in Admitting Refugees
Authors: Bender Felix
Published: May 2024

Refugees drown, are beaten, and are pushed back at the borders of the states of the Global North. Moral outrage is understandable in the face of such treatment. But does it constitute a good political theory? Can morality supply us with good normative arguments for a political world? In this article, I argue that they cannot. Drawing on political realism, I show why moral arguments for admitting refugees fail. What we require is not the extrapolation of moral arguments onto a political world, but a new form of political normativity that is derived from how politics works. I show that refugeehood possesses a specific political function in international politics. States do not admit refugees based on humanitarian reasons. This is what moral arguments get wrong. Rather, they fulfill the political function of condemning and embarrassing other states, of building oppositional and military forces to undermine rival political systems both ideologically and materially. In other words, they play an important political role—a role that allows us to build normative arguments from within a political and not a moral understanding of the world.
An investigation into the impact of vocabulary retrieval practice as a method of formative assessment in a Latin AS-level unseen translation context
Authors: Casselman Caitlin
Published: May 2024

Unseen translation forms a central part of assessment and teaching both in the Latin GCSE and A Level. Developing skills for the unseen translation presents several challenges for the classroom teacher; unseens can be introduced using a scaffolded approach, yet pupils must learn to develop independence for the examination. Unseens can often take an entire lesson, or more to translate, precluding the opportunity for meaningful, immediate feedback. Furthermore, classes of mixed- ability students often suffer from staggered completion rates and unequal attention being divided among students. Within the curriculum, unseen classes can additionally suffer from feeling severed from the specification as passages contain unfamiliar material, the content is discrete from the set texts, and lack of an overarching framework for approaching unseens can make them feel irrelevant to pupils. Therefore, striking a balance between productive support for in-class unseen translation practice and nurturing pupil confidence requires a clear strategy. This article investigates the effect of two methods of formative assessment used in preparation for an unseen translation lesson with a year 12 class. Reflecting on the results of the investigation, this article discusses the opportunities different tasks may afford the Latin teacher for developing a vocabulary curriculum that supports long-term retention of vocabulary, increases the efficiency of unseen classes, and allows the unseen passage to be received as part of a wider framework of learning.
Long‐Term Trends in Aerosols, Low Clouds, and Large‐Scale Meteorology Over the Western North Atlantic From 2003 to 2020
Authors: Park J. Minnie , McComiskey Allison C. , Painemal David , Smith William L.
Published: May 2024

A continuous decrease in aerosols over the Western North Atlantic Ocean (WNAO) on a decadal timescale provides a long‐term benchmark to evaluate how various natural and anthropogenic processes affect the manifestation of aerosol‐cloud interactions in this region. Furthermore, the WNAO serves as a natural laboratory with diverse aerosol sources, marine boundary layer clouds more variable than those in marine stratocumulus deck regions, and unique flow regimes established by the Gulf Stream and the semi‐permanent Bermuda High. We investigate how satellite‐retrieved macrophysical and microphysical properties of low clouds and the surface shortwave irradiance changed from 2003 to 2020, in tandem with this aerosol decrease. The decadal changes in large‐scale meteorology related to the North Atlantic Oscillation (NAO) are also examined. We find a reduction in low‐cloud optical thickness, accompanied by fewer and larger cloud droplets, yet observe no significant changes in low‐cloud fraction and liquid water path. Despite the reduction in low‐cloud optical thickness together with aerosol decrease, a corresponding increase in the trends of surface shortwave irradiance, also known as surface brightening, is lacking. This absence of brightening is potentially related to concomitant changes found in large‐scale meteorology associated with NAO—Bermuda High strengthening, sea surface warming, and atmospheric moistening— as well as an increase in high‐level cloud fraction that can counteract the surface brightening. Ultimately, our findings suggest that spatial patterns of decadal meteorological variability introduce complexities in the surface cloud radiative effect over the WNAO, thereby complicating the isolation and examination of aerosol‐cloud interactions.
All-optical complex field imaging using diffractive processors
Authors: Li Jingxi , Li Yuhang , Gan Tianyi , Shen Che-Yung , Jarrahi Mona , Ozcan Aydogan
Published: May 2024

Complex field imaging, which captures both the amplitude and phase information of input optical fields or objects, can offer rich structural insights into samples, such as their absorption and refractive index distributions. However, conventional image sensors are intensity-based and inherently lack the capability to directly measure the phase distribution of a field. This limitation can be overcome using interferometric or holographic methods, often supplemented by iterative phase retrieval algorithms, leading to a considerable increase in hardware complexity and computational demand. Here, we present a complex field imager design that enables snapshot imaging of both the amplitude and quantitative phase information of input fields using an intensity-based sensor array without any digital processing. Our design utilizes successive deep learning-optimized diffractive surfaces that are structured to collectively modulate the input complex field, forming two independent imaging channels that perform amplitude-to-amplitude and phase-to-intensity transformations between the input and output planes within a compact optical design, axially spanning ~100 wavelengths. The intensity distributions of the output fields at these two channels on the sensor plane directly correspond to the amplitude and quantitative phase profiles of the input complex field, eliminating the need for any digital image reconstruction algorithms. We experimentally validated the efficacy of our complex field diffractive imager designs through 3D-printed prototypes operating at the terahertz spectrum, with the output amplitude and phase channel images closely aligning with our numerical simulations. We envision that this complex field imager will have various applications in security, biomedical imaging, sensing and material science, among others.
Familial risk for depression is associated with reduced physical activity in young adults: evidence from a wrist-worn actigraphy study
Authors: Dell’Acqua Carola , Messerotti Benvenuti Simone , Cellini Nicola , Brush C. J. , Ruggerone Alessandra , Palomba Daniela
Published: May 2024

Depression is characterized by reduced physical activity and sleep-wake cycle disturbances, often considered important features of the disease. While a few studies have suggested that self-reported reduced physical activity and sleep-wake cycle disturbances might both be linked to depression vulnerability, actigraphy-based measures in vulnerable samples remain largely unexplored. This study relied on actigraphy-based parameters to test whether these disturbances characterize depression vulnerability. Seven-day actigraphy data were collected from 20 (13 female) university students with a high vulnerability to depression, which was determined by the presence of a family history of the condition but no current symptoms, and 32 (21 female) controls with neither a family history of depression nor current depressive symptoms. Daily physical activity, namely gross motor activity, was quantified as average daily acceleration and time spent engaging in moderate-vigorous physical activity (MVPA). The sleep-wake cycle and circadian rhythms were assessed as total sleep duration per night (in hours), sleep within sleep period time (in hours), sleep efficiency (%), and relative amplitude (i.e., the difference between the activity during the day and the night, which reflects circadian rhythms amplitude). Results showed that individuals with a familial risk for depression exhibited reduced daily acceleration and time spent in MVPA relative to the control group, particularly on the weekend during their free time away from scheduled activities. On the other hand, the two groups were comparable in terms of sleep estimates. Taken together, reduced physical activity, but not sleep-wake disturbances, seem to be associated with vulnerability to depression and might be a viable target for identification and prevention efforts.
Prenatal exposure to alcohol and its impact on reward processing and substance use in adulthood
Authors: Mareckova Klara , Marecek Radek , Andryskova Lenka , Brazdil Milan , Nikolova Yuliya S.
Published: May 2024

Heavy maternal alcohol drinking during pregnancy has been associated with altered neurodevelopment in the child but the effects of low-dose alcohol drinking are less clear and any potential safe level of alcohol use during pregnancy is not known. We evaluated the effects of prenatal alcohol on reward-related behavior and substance use in young adulthood and the potential sex differences therein. Participants were members of the European Longitudinal Study of Pregnancy and Childhood (ELSPAC) prenatal birth cohort who participated in its neuroimaging follow-up in young adulthood. A total of 191 participants (28–30 years; 51% men) had complete data on prenatal exposure to alcohol, current substance use, and fMRI data from young adulthood. Maternal alcohol drinking was assessed during mid-pregnancy and pre-conception. Brain response to reward anticipation and reward feedback was measured using the Monetary Incentive Delay task and substance use in young adulthood was assessed using a self-report questionnaire. We showed that even a moderate exposure to alcohol in mid-pregnancy but not pre-conception was associated with robust effects on brain response to reward feedback (six frontal, one parietal, one temporal, and one occipital cluster) and with greater cannabis use in both men and women 30 years later. Moreover, mid-pregnancy but not pre-conception exposure to alcohol was associated with greater cannabis use in young adulthood and these effects were independent of maternal education and maternal depression during pregnancy. Further, the extent of cannabis use in the late 20 s was predicted by the brain response to reward feedback in three out of the nine prenatal alcohol-related clusters and these effects were independent of current alcohol use. Sex differences in the brain response to reward outcome emerged only during the no loss vs. loss contrast. Young adult men exposed to alcohol prenatally had significantly larger brain response to no loss vs. loss in the putamen and occipital region than women exposed to prenatal alcohol. Therefore, we conclude that even moderate exposure to alcohol prenatally has long-lasting effects on brain function during reward processing and risk of cannabis use in young adulthood.
Videogame training increases clinical well-being, attention and hippocampal-prefrontal functional connectivity in patients with schizophrenia
Authors: Becker Maxi , Fischer Djo J. , Kühn Simone , Gallinat Jürgen
Published: May 2024

Recent research shows that videogame training enhances neuronal plasticity and cognitive improvements in healthy individuals. As patients with schizophrenia exhibit reduced neuronal plasticity linked to cognitive deficits and symptoms, we investigated whether videogame-related cognitive improvements and plasticity changes extend to this population. In a training study, patients with schizophrenia and healthy controls were randomly assigned to 3D or 2D platformer videogame training or E-book reading (active control) for 8 weeks, 30 min daily. After training, both videogame conditions showed significant increases in sustained attention compared to the control condition, correlated with increased functional connectivity in a hippocampal-prefrontal network. Notably, patients trained with videogames mostly improved in negative symptoms, general psychopathology, and perceived mental health recovery. Videogames, incorporating initiative, goal setting and gratification, offer a training approach closer to real life than current psychiatric treatments. Our results provide initial evidence that they may represent a possible adjunct therapeutic intervention for complex mental disorders.