bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brief interventions and contacts after suicide attempt: A meta-analysis
Authors: Homan Stephanie , Ritzinger Alina , Michel Sofia , Bertram Anna-Marie , Marciniak Marta , Rühlmann Charlotta , Petho Annamaria , Kirchhofer Lara , Homan Philipp , Olbrich Sebastian , O'Connor Rory , Kleim Birgit 
Published: December 2024

Abstract

Following a suicide attempt, only a third of people receive outpatient treatment. This highlights the need to rethink our approach to treatment, to include the consideration of low-threshold brief interventions and contacts. Therefore, in this study, we investigated the extent to which such brief interventions and contacts (BICs) are effective. PubMed, Cochrane, Embase, ProQuest, and PsycINFO were searched by independent researchers according to the PRISMA guidelines. This meta-analysis included randomized clinical trials (RCTs) that tested BIC in adults after a suicide attempt. It examined the effectiveness of BIC on (1) re-attempts at follow-up, (2) self-harm at follow-up, (3) suicidal ideation at follow-up, and (4) linkage to mental health services at follow-up. The findings from 54 RCTs confirmed that BICs are effective: (1) Re-attempts at the follow-up phase were significantly reduced in the BIC group compared with control (-0.35, 95% CI: -0.54, –0.15). (2) There was no difference between the groups in the recurrence of self-harm and (3) in the severity of suicidal ideation at follow-up. (4) The linkage to mental health services at follow-up was significantly higher in the BIC group compared with control (0.60, 95% CI: 0.05, 1.15). In this largest meta-analysis to date, there are clear implications for clinical practice: BICs, often consisting of only one session, are effective in reducing the recurrence of suicide attempts and can be used to help people find a connection to the mental healthcare system after a suicide attempt. Thus, these interventions should be integrated into suicide prevention strategies.
A federated graph learning method to multi-party collaboration for molecular discovery
Authors: Wu Yuen , Zhang Liang , Chen Kong , Jiang Jun , Zhang Yanyong 
Published: December 2024

Abstract

Optimizing molecular resources utilization for molecular discovery requires collaborative efforts across research institutions to accelerate progress. However, given the high research value of both successful and unsuccessful molecules conducted by each institution (or laboratory), these findings are typically kept private and confidential until formal publication, with failed ones rarely disclosed. This confidentiality requirement presents a great challenge for most existing methods when handing molecular data with heterogeneous distributions under stringent privacy constraints. Here, we propose FedLG, a federated graph learning method that leverages the Lanczos algorithm to facilitate collaborative model training across multiple parties, achieving reliable prediction performance under strict privacy protection conditions. Compared with various traditional federate learning methods, FedLG method exhibits excellent model performance on all benchmark datasets. With different privacy-preserving mechanism settings, FedLG method demonstrates potential application with high robustness and noise resistance. Comparison tests on datasets from each simulated research institution also show that FedLG method effectively achieves superior data aggregation capabilities and more promising outcomes than localized model training. In addition, we incorporate the Bayesian optimization algorithm into FedLG method to demonstrate its scalability and further enhance model performance. Overall, the proposed method FedLG can be deemed a highly effective method to realize multi-party collaboration while ensuring sensitive molecular information is protected from potential leakage.
Staphylococcal Enterotoxin Gene B Relevant to Atopic Dermatitis Alters the Expression of Kallikreins and β-defensin 2 in HaCaT Cells
Authors: Tian Xin , Huang Qiongxiao , Chen Ziyan , Xia Manqi , Liang Jingyao , Liu Yumei 
Published: December 2024

Abstract

Atopic dermatitis (AD) is a chronic, recurrent inflammatory skin disorder characterized by abnormal skin barrier function, immune inflammation, and disrupted skin microbiome. The dynamic alterations of staphylococcus aureus (S. aureus) superantigens, kallikreins (KLKs), and β-defensin 2 (β-HBD2) in keratinocytes play pivotal roles in the pathogenesis of AD. However, the mechanisms of their action remain poorly understood. In our study, we utilized staphylococcal enterotoxin gene B (SEB) to stimulate HaCaT cells. Although SEB did not significantly alter the proliferation of HaCaT cells nor increase cell apoptosis, KLKs were increased and β-HBD2 was decreased to varying degrees, indicating that KLKs activation and β-HBD2 reduction may facilitate the induction of AD and the colonization of S. aureus. Our investigation into the in vitro cellular mechanisms of SEB on AD progression provides a theoretical foundation for future AD therapies.
Polymorph Analysis of ALZ-801 (Valiltramiprosate), a Valine-conjugated Oral Prodrug of Tramiprosate in Late-stage Clinical Development for Alzheimer’s Disease
Authors: Pearson D. , Amedio J. , Schaefer J. F. , Tolar M. , Hey John A. 
Published: December 2024

Abstract

ALZ-801 (valiltramiprosate) is an orally bioavailable, small-molecule inhibitor of β-amyloid (Aβ) oligomer formation in late-stage clinical development as a potential disease-modifying treatment for Alzheimer’s disease (AD). ALZ-801, (S)-3-(2-amino-3-methylbutanamido) propane-1-sulfonic acid, is a valine-conjugated prodrug of tramiprosate. Structural, polymorphic analysis of the active pharmaceutical ingredient (API) of ALZ-801 showed extra peaks when high throughput transmission mode XRPD analysis was utilized. After extensive investigation, the extra peaks were determined to be an artifact of transmission mode XRPD, which was not observed in either reflectance or capillary mode XRPD analyses. Reflectance mode XRPD was demonstrated as the most appropriate methodology to monitor the crystal form of ALZ-801 API. In conclusion, ALZ-801 API is a single polymorph form.
Antigen Dose and Persistence Contribute to Induction of a Durable HIV-1-Specific Neutralizing Antibody Response
Authors: Connors Mark , Matsuda Kenta , Harrison Mitra , Wettstein Eleanor , Pederson Jessica , Pullano Alyssa , Bolkhovitinov Lyuba , Kim Breanna , griesman trevor , Stuccio Sarah , Rogan Daniel , Steinberg Isabel , Leach Benjamin , Veer Freya van't , Roenicke Rachel , Roeder Peyton , Tsybovsky Yaroslav , Stephens Tyler , Patamawenu Andy , Shofner Tulley , Wright Nathaniel , Webber Jonathan , Ober Ellison , Moral-Sánchez Iván del , Bontjer Ilja , McGinnes Lori , Chu Eric , Liang C. Jason , Torres Jonathan , Lin Ryan , Tran Andy , Dziubla Gabrielle , Serebryannyy Leonid , Narpala Sandeep , Lin Bob , Castro Mike , Ozorowski Gabriel , Ward Andrew , Sanders Rogier , Kwong Peter , Guenaga Javier , Wyatt Richard , Morrison Trudy , Koory Emma 
Published: December 2024

Abstract

The immunogenicity of HIV-1 Env glycoprotein (Env) is limited in part by its structural instability and extensive glycan shielding and is likely the greatest obstacle to an HIV-1 vaccine. Stabilized Env trimers can elicit serum neutralizing antibodies but often require many immunizations and the response is short-lived. To understand the parameters that confer a durable neutralizing antibody response, we used a Newcastle Disease Virus-like particle (NDV-VLP) platform to present stabilized versions of HIV-1 Env at high valency and varied the conformational stability, adjuvants, dose, and antigen persistence. Influenza virus hemagglutinin (HA), or SARS-CoV2 Spike (S)-bearing VLPs were used as controls. HA or S bearing VLPs rapidly induced neutralizing antibodies, whereas they were not induced by those bearing Env. A replicating adenovirus type 4 expressing Env rapidly induced autologous neutralizing antibodies, suggesting glycan shielding or the naïve B cell repertoire were not barriers. We then tested the parameters that might approximate a replicating virus infection. Only when multiple features of a virus infection were combined did we observe durable neutralizing antibodies, with the largest impact attributable to dose and escalating dose. Our results suggest that numerous features of a replicating virus infection, including stabilization, spike density, TLR stimulation, total dose, and persistence of antigen, can be combined to improve the immunogenicity of HIV-1 Env.
Facilitating Parental Scaffolding to Support Students’ Mathematical Skills through a Literacy-Focused Parental Involvement Program
Authors: Zambak Vecihi , Steiner Lilly , Carley-Rizzuto Kerry 
Published: December 2024

Abstract

Parental involvement in children’s education has benefits throughout a child’s academic career. Researchers and educators have developed parental involvement programs, the most effective being those that teach parents to understand open-ended mathematics problems, allowing time for children to think, share their mathematical understanding, and reflect on reasoning processes. The use of literacy strategies for mathematical understanding develops students’ communication skills. Having the same objective, we implemented a five-session intervention in our study with four parents and their children, during which we utilized literacy strategies to support parental involvement and children’s mathematical development. In each session, parent-child dyads were provided with a smart pen and smart notebook to record their interactions around the mathematical topics focused on during the session. Our findings showed improvements in parents’ level of assistance throughout our intervention. Additionally, our program contributed to students’ mathematical skills. We share implications for mathematics teacher educators and provide recommendations for further research.
FOXO1 modulates the biofunctions of trophoblast cells in preeclampsia via the DUSP9/p38/JNK signaling pathway
Authors: Qin Zhendong , Bian Xiaotao , Li Jinfeng , Yi Yanhong , Lu Junli , Cao Guangming 
Published: December 2024

Abstract

Background
Preeclampsia (PE) is currently one of the major causes threatening the health and leading to death of pregnant women and fetuses. The onset of PE is attributed to cellular biological dysfunction resulting from the disruption of the molecular regulatory network in the trophoblast cells. We discovered that FOXO1 was downregulated in the placenta of preeclampsia.
Methods
In order to delve deeper into the involvement of FOXO1 in the development of preeclampsia, trophoblast cell lines were generated with manipulated levels of FOXO1, either through overexpression or knockdown, to elucidate its biological function and underlying mechanisms.
Results
The expression level of FOXO1 is positively correlated with the invasive, migratory, and proliferative abilities of trophoblast cells. Transcriptome sequencing analysis revealed DUSP9 as a potential target gene of FOXO1. The suppression of DUSP9 expression has been shown to markedly diminish the invasive, migratory, and proliferative abilities of trophoblast cells. Silencing DUSP9 in trophoblast cells that exhibit elevated levels of FOXO1 can attenuate their physiological functions. We found that overexpression/inhibition of FOXO1 can correspondingly suppress/activate the p38/JNK signaling pathway. Notably, the inhibition of DUSP9 in the context of FOXO1 overexpression can activate the p38/JNK signaling pathway.
Conclusions
FOXO1 modulates the biofunctions of trophoblast cells in preeclampsia via the DUSP9/p38/JNK signaling pathway.
Autoregressive Generation Strategies for Top-K Sequential Recommendations
Authors: Volodkevich Anna , Gusak Danil , Klenitskiy Anton , Vasilev Alexey 
Published: December 2024

Abstract

The goal of modern sequential recommender systems is often formulated in terms of next-item prediction. In this paper, we explore the applicability of transformerbased generative models for the Top-K sequential recommendation task, where the goal is to predict items that a user is likely to interact with in the “near future”. This goal aligns with real-world applications of such models in an offline scenario or as a part of multi-stage recommender pipelines.
We explore commonly used autoregressive generation strategies, including greedy decoding, beam search, and temperature sampling, to evaluate their performance for the Top-K sequential recommendation task. In addition, we propose novel Reciprocal Rank Aggregation (RRA) and Relevance Aggregation (RA) generation strategies based on multi-sequence generation with temperature sampling and subsequent aggregation.
Experiments on diverse datasets give valuable insights regarding the applicability of commonly used strategies and show that the suggested approaches improve performance on longer time horizons compared to the widely used Top-K prediction approach and single-sequence autoregressive generation strategies.
Remote Sensing Analysis of Spatiotemporal Variability in Key Physicochemical Parameters and Primary Productivity in the Northern Bay of Bengal
Authors: Tahsin Tabassum Hossain , Hoque Md Enamul , Chowdh Siraj Uddin Md Babar , Karmakar Anik 
Published: December 2024

Abstract

The Bay of Bengal (BoB), a vital marine ecosystem, is influenced by complex interactions between physical, chemical, and biological processes. Monsoonal winds, riverine inputs, and oceanographic conditions shape the region's unique characteristics. This study leverages high-resolution remote sensing data from 2014 to 2023 to analyze the spatiotemporal variability of key physicochemical parameters and their impact on primary productivity. The study reveals distinct seasonal patterns in sea-surface temperature (SST), salinity, density, mixed-layer depth (MLD), dissolved oxygen (DO), and chlorophyll-a concentration and monthly variations of these parameters. The analysis indicates that the Northern part of BoB recorded its highest SST in May, with levels rising to 29°C. Primary productivity exhibits two peaks, one during the spring season, which is 405 to above 905 mg/m³/day and another during the autumn season (305 to 705 mg/m³/day), driven by increased nutrient availability and favorable light conditions. The lowest productivity was observed in the winter season, with the value 5 mg/m³/day, attributed to a lower temperature (25°C) and reduced light availability. The study highlights the influence of environmental factors on marine biological activity, with high temperature, low salinity, low dissolved oxygen, and shallow mixed-layer depth correlating with higher chlorophyll-a concentration. This research provides valuable insights into the BoB's ecosystem health and productivity, emphasizing the importance of remote sensing in monitoring and understanding this dynamic marine environment.
Pollen analysis of sediment core from Yukashigata Lagoon, in western Japan reveals paleovegetation changes during the past 1500 year
Authors: Fujiki Toshiyuki , Nakanishi Toshimichi , Yamada Kazuyoshi , Tabata Kaoru , Ikeda Haruhiro 
Published: December 2024

Abstract

A 292-cm-long sediment core was collected from the center of Yukashigata Lagoon using a Mackereth air-pressure piston corer. Pollen analysis with radiocarbon dating of this sediment core was conducted to reconstruct the surrounding paleoenvironment. The results revealed a decrease in evergreen broadleaf tree pollen grains, an increase in herb pollen grains and fern spores, and a slight increase in charcoal fragments around 1100 cal CE, suggesting the onset of human impact on vegetation around this time. A major vegetation shift occurred around 1300 cal CE, marked by a rapid increase in Pinus pollen grains, herb pollen grains, and fern spores, along with a decrease in evergreen broadleaf tree pollen grains. The latter change suggested large-scale destruction of vegetation. Subsequently, tree pollen grains continued to decline, with a further decrease around 1550 cal CE, perhaps caused by the extensive use of Kumano timber for the construction of castles and temples by Sengoku-period warlords. Much of this timber was supplied by the Kishu Domain. However, as the Kishu supply of high-quality timber began to deplete, the warlords shifted to a policy of forest protection and cultivation, banning the felling of six tree species. As a result, the abundance of Pinus and Cryptomeria pollen grains sharply increased from around 1650 cal CE, as did that of evergreen broadleaf tree pollen grains which indicated a transition from compensatory vegetation to evergreen broadleaf forest from around 1950 cal CE. This vegetation recovery appears to have been linked to increasing reliance on plant-based fuels as fossil fuels became more widely adopted.
Predictive Heat Transfer Model for Fire-Induced Injuries in Tree Stem
Authors: Khan Muhammad Usman , Hasnain Muhammad , Sezer Hayri , Kozhumal Shijin , Selvaraj Muthu Kumaran , Simeoni Albert 
Published: December 2024

Abstract

This study introduces a physics-based mathematical model to predict the injury and mortality of tree stems during prescribed burns and in wildland fires. The two-dimensional transient model is developed in polar coordinates employing the finite volume method with an implicit time integration scheme. The model includes a source term in the heat transfer equation to account for the volumetric heat absorbed due to desiccation and pyrolysis processes. The thermophysical properties such as thermal conductivity, density, and specific heat are set to vary as a function of temperature. The model is verified against existing experimental and numerical studies (1D and 2D). The temperature history just underneath the inner bark shows that the temperatures predicted by the present model align closely with experimental data. The necrotic depth and viability factor of the tree stem are determined from the predicted temperature distribution in the tree stem. A parametric study is conducted by varying the area exposed to the heat flux, moisture content, and tree species. The depth of stem injury and mortality rate are analyzed for these cases. Results show that the coupled effect of thermo-property variation and moisture content in different layers can significantly affect the heat diffusion and the predicted temperature distribution within the inner layers of the stem. The model serves as a valuable tool for predicting tree mortality rates during wildfires and prescribed burns and helps land managers and fire managers foster better forestry management and ecosystem conservation strategies.
From Grey Clouds to Green Horizons: Synergizing the nexus among Adaptation Technologies, Green Production Practices and Environmental Quality
Authors: Rafiq Muhammad , Ahmad Wasim , Hamid Afshan , Anwar Ahsan 
Published: December 2024

Abstract

The BRICST nations - Brazil, Russia, India, China, South Africa, and Turkey - are driving significant economic growth and development. However, they also have to tackle environmental challenges accompanying their economic progress. The nexus between economic growth and environmental degradation makes it complex to achieve sustainable development goals. In this regard, the study examines the impact of adaptation technologies, green production practices, financial development, and renewable energy consumption on the load capacity factor. The Panel Quantile Regression (PQR) technique has been utilized to analyze data from 1990 to 2020. Further, the Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) techniques have also been employed to check the robustness of the results. The results show that economic growth harms environmental quality in the early stages, and it harms the load-carrying capacity of the environment in the latter stage. Conversely, adaptation technologies and green production technology have a positive effect on load-carrying capacity, which also signifies the efforts to achieve SDG 09 (industry, innovation, and infrastructure). Renewable energy consumption also plays an integral role in improving environmental quality which also clarifies the attempts towards SDG 12 (responsible consumption and production), SDG 07 (affordable and clean energy), and SDG 13 (climate action) in BRICST countries.
The Reversal of the Gender Gap in Education: Exploring its Consequences for Partnering, Employment and Voting Behaviour
Authors: Nordin Martin , Stanfors Maria 
Published: December 2024

Abstract

Women have made substantial gains in education in recent decades and outperform men in educational attainment across the OECD, but the consequences of this reversal of the gender gap in education (RGE) have not been well researched. In this study, we address the association between the RGE and partnering, employment, and support for a right-wing populist party in Sweden. Of note, we explore the differential impacts of women’s educational advancements versus men’s lagging by using cross-sectional register data and within-areal age variation in RGE. Results show that RGE is negatively associated with partnering and employment prospects among individuals with a low level of education. Furthermore, results suggest that men’s educational disadvantage may contribute to growing support for right-wing populist parties. Overall, this study highlights how shifting gender gaps in education can lead to frustration in various areas of life, fostering political discontent and anti-egalitarian values.
JEL classification: J12, I24, Z13
Associations of invasive cyanobacterial species and phytoplankton community structure with abiotic influences in post-glacial temperate lakes under climate change
Authors: Aykut Tümer Orhun , Crucitti-Thoo Robin Michael , Rudak Agnieszka , Jasser Iwona 
Published: December 2024

Abstract

This study conducted in Mazurian and Suwałki Lakelands (Poland), investigated the composition and distribution of phytoplankton species, currently existing invasive Cyanobacteria, and their linkages with various environmental parameters. Water and phytoplankton samples were collected from twenty-five lakes in the summer of 2023 to achieve the aims. In the study, crucial ecological influences such as pH, conductivity, dissolved oxygen, nutrient concentrations, and water temperature values were measured and their associations with phytoplankton community structure were described. In addition, the Shannon diversity index, Pielou’s evenness, Euclidean distance analysis, frequency analysis, and redundancy analysis have been applied to interpret the obtained data. In total 325 phytoplankton species were recorded, with the most abundant class being Cyanophyceae represented by 170 taxa. Although they had relatively low biomass, all of the investigated invasive cyanobacterial species (Raphidiopsis raciborskii, Chrysosporum bergii, and Sphaerospermopsis aphanizomenoides) have been identified in several water bodies. The Shannon diversity index showed that the highest diversity was found in one of the most eutrophic lake (Rekąty). Euclidean distance analysis described the highest similarity between two lakes with similar trophic status in Suwałki Lakeland (Przerośl and Hołny). RDA analysis revealed the positive correlations between Chlorophyceae and pH; Cyanophyceae and dissolved oxygen concentration.