bluuebunny/crossref_metadata_2025_split huggingface dataset:
Challenges and strategies for improving medication adherence among adolescent psychiatric patients: A qualitative study
Authors: Kalaman Clarisse Roswini , Ibrahim Norhayati , Cham Choy Qing , Ho Meng Chuan , Visvalingam Uma , Abdul Rahman Fairuz Nazri , Shahabuddin Farah Ahmad , Halim Mohd Radzi Tarmizi A , Siau Ching Sin 
Published: December 2024

Abstract
Despite significant advancements in the development of psychotropic medications, increasing adherence rates remain a challenge in the treatment and management of psychiatric disorders. The purpose of this study is to qualitatively explore the challenges underlying medication adherence and strategies to improve it among adolescents with psychiatric disorders in Malaysia. This qualitative research design presents results from 17 semi-structured interviews with adolescent psychiatric patients, aged 11 to 19 years old, from public hospitals across Peninsular Malaysia. The data collected from interviews were transcribed and processed through thematic analysis using the NVivo 11 software. A total of three main themes concerning medication adherence were identified: (1) challenges; (2) coping strategies and (3) protective factors. In this study, thirteen subthemes emerge as challenges underlying medication adherence experienced by adolescent psychiatric patients. The coping strategies identified in this study fall under three broad subthemes which are problem-focused strategies, emotion-focused strategies and maladaptive strategies. This study also highlights social support and positive medicinal effects as protective factors for non-adherence issues in adolescent psychiatric patients. In conclusion, this study supports the notion that adherence is a multi-factorial phenomenon. This study can inform future development of interventions and targeted health promotion programmes in enhancing adherence.
Between the Great Walls: Northern Song Imaginations of the Northwest
Authors: Wen Xin 
Published: December 2024

AbstractAfter the political fragmentation of the “Five Dynasties and Ten Kingdoms” period, the Northern Song consolidated much of the lands under these regional states into a larger polity in a process often described as “reunification.” But this “reunification,” judged against the domain of the Tang dynasty, was incomplete. The “Sixteen Prefectures” to the northeast were ceded to the Liao, and this became a vexing issue for Song emperors and officials. But the northeast was not the only region once under Tang rule that did not enter the Song domain. In this article, I discuss the area to the northwest of the Song, much of which was eventually governed by the Tangut Xia state. This area, roughly the modern provinces of Ningxia and Gansu, featured prominently in Northern Song political discussions, national geographical treatises, and national and regional maps. By analyzing the treatment of the northwest in these diverse genres of representation, I demonstrate a spectrum in the perceptions of the northwest. It was sometimes seen as little different from areas under Song rule; in other cases, it was treated as “beyond the sphere of civilization” (huawai). Such ambiguity is visualized in many Song cartographers who placed this area between two segments of the Great Wall. For Song emperors and officials, the northwest sat uncomfortably in their imaginations of the world, not easily dismissed and forgotten, yet irrecoverable.
Is Frege a Neo-Kantian Transcendentalist About the Justification for Logical Axioms?
Authors: Kim Junyeol 
Published: December 2024

Abstract
The neo-Kantian transcendentalist reading of the epistemic status of logical axioms in Frege argues that he is committed to the neo-Kantian idea that we are epistemically justified in accepting logical axioms because accepting them is necessary for achieving epistemically crucial goals. However, I show that Frege hesitates to be fully committed to neo-Kantian transcendentalism because he struggles to accept the idea that such a teleological reason can constitute an epistemic warrant. This interpretation shows some crucial aspects of his philosophy of logic, such as his understanding of the relationship between the simplicity and the sufficiency of logical systems.
Origin and evolution of West Nile virus lineage 1 in Italy
Authors: Silverj Andrea , Mencattelli Giulia , Monaco Federica , Iapaolo Federica , Teodori Liana , Leone Alessandra , Polci Andrea , Curini Valentina , Di Domenico Marco , Secondini Barbara , Di Lollo Valeria , Ancora Massimo , Di Gennaro Annapia , Morelli Daniela , Perrotta Maria Gabriella , Marini Giovanni , Rosà Roberto , Segata Nicola , Rota-Stabelli Omar , Rizzoli Annapaola , Savini Giovanni ,   West Nile Virus Working Group
Published: December 2024

Abstract
West Nile virus (WNV) is a mosquito-borne pathogen that can infect humans, equids, and many bird species, posing a threat to their health. It consists of eight lineages, with Lineage 1 (L1) and Lineage 2 (L2) being the most prevalent and pathogenic. Italy is one of the hardest-hit European nations, with 330 neurological cases and 37 fatalities in humans in the 2021–2022 season, in which the L1 re-emerged after several years of low circulation. We assembled a database comprising all publicly available WNV genomes, along with 31 new Italian strains of WNV L1 sequenced in this study, to trace their evolutionary history using phylodynamics and phylogeography. Our analysis suggests that WNV L1 may have initially entered Italy from Northern Africa around 1985 and indicates a connection between European and Western Mediterranean countries, with two distinct strains circulating within Italy. Furthermore, we identified new genetic mutations that are typical of the Italian strains and that can be tested in future studies to assess their pathogenicity. Our research clarifies the dynamics of WNV L1 in Italy, provides a comprehensive dataset of genome sequences for future reference, and underscores the critical need for continuous and coordinated surveillance efforts between Europe and Africa.
Population growth of the grey-headed albatross population on Marion Island inferred using three analysis methods
Authors: Stevens Kim L. , Altwegg Res , Connan Maëlle , Ryan Peter G. 
Published: December 2024

AbstractGlobally, the grey-headed albatross Thalassarche chrysostoma is listed as Endangered due to decreasing populations at its major breeding colonies. We analysed the population trend at Marion Island using annual counts of incubating pairs and fledglings from 1984 to 2021 and three methods: TRends and Indices for Monitoring data (TRIM), a generalized additive model and a state-space model. In contrast to rapid decreases at most other colonies, all three methods indicated a local population increase at an average annual rate of 1.3%. The latter two models indicated a decreasing trend from 1997 to 2002, presumably related to mortality on longlines set for Patagonian toothfish Dissostichus eleginoides around the island, which peaked from 1996 to 1998. Grey-headed albatrosses exhibit greater variation in annual counts than other seabird species at Marion Island, possibly linked to interannual variation in breeding success because they are biennial breeders. However, breeding success alone was not significant in any of the models, presumably because it cannot capture the complexities of both population processes and environmental variation. Although all three models predicted the overall trends well, integrated population models, which can account for demographic processes, might be more appropriate to model long-term population trends.
Collective properties of Petitella georgiae in tube environments
Authors: Gu Shuang , Quan Quan 
Published: December 2024

AbstractThe movement of biological swarms is widespread in nature, and collective behavior enhances a swarm’s adaptability to its environment. However, most research focuses on free swarm movement, overlooking the impact of environmental constraints such as tubes. This study examines the swimming behavior of Petitella georgiae through a tube. Observations of position, speed, and direction reveal that each fish is influenced by the swarm’s distribution in its field of view. The speed ratio between the middle region and edge region positively correlates with tube angles, and higher speeds are associated with higher densities within specific angle ranges.
miR-449, identified through antiandrogen exposure, mitigates functional biomarkers associated with ovarian cancer risk
Authors: Wang Xia , Woo Ho-Hyung , Wei Michelle , Gibson Steven , Miranda Mitzi , Rush Demaretta , Cragun Janiel , Zheng Wenxin , Yao Guang , Chambers Setsuko K. 
Published: December 2024

AbstractThe involvement of the androgen receptor (AR) pathway in developing epithelial ovarian cancer is increasingly acknowledged. However, the specific mechanisms by which anti-androgen agents, such as flutamide, may prevent ovarian cancer and their efficacy remain unknown. This study was initiated by investigating the impact of flutamide on miRNA expression in women at high risk (HR) for ovarian cancer. Ovarian and tubal tissues, free from ovarian, tubal, peritoneal cancers, and serous tubal intraepithelial carcinoma (STIC), were collected from untreated and flutamide-treated HR women as well as low-risk (LR) women controls. We performed miRNA sequencing on these 3 sample cohorts and observed that flutamide normalized miRNA levels in HR tissues, notably upregulating the miR-449 family to levels seen in LR tissues. In subsequent tests in primary ovarian epithelial cells and ovarian cancer cell lines (SKOV3 and Hey), flutamide also increased miR-449a and miR-449b-5p levels. Introducing mimics of these miRNAs reduced the mRNA and protein levels of AR and colony-stimulating factor 1 receptor (CSF1R, also known as c-fms), both of which are known contributors to ovarian cancer progression, with emerging evidence also supporting their roles in ovarian cancer initiation. Ovarian cancer cell migration was inhibited upon introducing miR-449a and miR-449b-5p mimics. Together, our study suggests a novel dual-inhibitory mechanism of flutamide on the AR pathway (AR expression suppression in addition to direct androgen antagonism) and supports its chemopreventive potential in ovarian cancer, especially for HR patients with low miR-449 expression.
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques
Authors: Ogutu Sarah , Mohammed Mohanad , Mwambi Henry 
Published: December 2024

AbstractHIV remains a critical global health issue, with an estimated 39.9 million people living with the virus worldwide by the end of 2023 (according to WHO). Although the epidemic’s impact varies significantly across regions, Africa remains the most affected. In the past decade, considerable efforts have focused on developing preventive measures, such as vaccines and pre-exposure prophylaxis, to combat sexually transmitted HIV. Recently, cytokine profiles have gained attention as potential predictors of HIV incidence due to their involvement in immune regulation and inflammation, presenting new opportunities to enhance preventative strategies. However, the high-dimensional, time-varying nature of cytokine data collected in clinical research, presents challenges for traditional statistical methods like the Cox proportional hazards (PH) model to effectively analyze survival data related to HIV. Machine learning (ML) survival models offer a robust alternative, especially for addressing the limitations of the PH model’s assumptions. In this study, we applied survival support vector machine (SSVM) and random survival forest (RSF) models using changes or means in cytokine levels as predictors to assess their association with HIV incidence, evaluate variable importance, measure predictive accuracy using the concordance index (C-index) and integrated Brier score (IBS) and interpret the model’s predictions using Shapley additive explanations (SHAP) values. Our results indicated that RSFs models outperformed SSVMs models, with the difference covariate model performing better than the mean covariate model. The highest C-index for SSVM was 0.7180 under the difference covariate model, while for RSF, it reached 0.8801 under the difference covariate model using the log-rank split rule. Key cytokines identified as positive predictors of HIV incidence included TNF-A, BASIC-FGF, IL-5, MCP-3, and EOTAXIN, while 29 cytokines were negative predictors. Baseline factors such as condom use frequency, treatment status, number of partners, and sexual activity also emerged as significant predictors. This study underscored the potential of cytokine profiles for predicting HIV incidence and highlighted the advantages of RSFs models in analyzing high-dimensional, time-varying data over SSVMs. It further through ablation studies emphasized the importance of selecting key features within mean and difference based covariate models to achieve an optimal balance between model complexity and predictive accuracy.
Identification of immune-related hub genes and potential molecular mechanisms involved in COVID-19 via integrated bioinformatics analysis
Authors: Zhu Rui , Zhao Yaping , Yin Hui , Shu Linfeng , Ma Yuhang , Tao Yingli 
Published: December 2024

AbstractCOVID-19, caused by the SARS-CoV-2 virus, poses significant health challenges worldwide, particularly due to severe immune-related complications. Understanding the molecular mechanisms and identifying key immune-related genes (IRGs) involved in COVID-19 pathogenesis is critical for developing effective prevention and treatment strategies. This study employed computational tools to analyze biological data (bioinformatics) and a method for inferring causal relationships based on genetic variations, known as Mendelian randomization (MR), to explore the roles of IRGs in COVID-19. We identified differentially expressed genes (DEGs) from datasets available in the Gene Expression Omnibus (GEO), comparing COVID-19 patients with healthy controls. IRGs were sourced from the ImmPort database. We conducted functional enrichment analysis, pathway analysis, and immune infiltration assessments to determine the biological significance of the identified IRGs. A total of 360 common differential IRGs were identified. Among these genes, CD1C, IL1B, and SLP1 have emerged as key IRGs with potential protective effects against COVID-19. Pathway enrichment analysis revealed that CD1C is involved in terpenoid backbone biosynthesis and Th17 cell differentiation, while IL1B is linked to B-cell receptor signaling and the NF-kappa B signaling pathway. Significant correlations were observed between key genes and various immune cells, suggesting that they influence immune cell modulation in COVID-19. This study provides new insights into the immune mechanisms underlying COVID-19, highlighting the crucial role of IRGs in disease progression. These findings suggest that CD1C and IL1B could be potential therapeutic targets. The integrated bioinformatics and MR analysis approach offers a robust framework for further exploring immune responses in COVID-19 patients, as well as for targeted therapy and vaccine development.
Penser l’éducation thérapeutique de demain : les apports de la santé communautaire et de l’éducation populaire
Authors: Denoual Hélène , Astier Camille , Guével Marie-Renée 
Published: December 2024

Si les démarches d’éducation thérapeutique du patient (ETP) tendent à se démocratiser, les professionnels de l’ETP restent cependant confrontés à un certain nombre de questionnements qui les interpellent dans leurs pratiques quotidiennes : Comment faire venir les personnes à l’ETP ou comment rendre accessible cette dernière au plus grand nombre ? Comment aller vers ceux qui bénéficieraient de cette démarche ? Comment prendre en compte l’environnement des patients accompagnés quand celui-ci n’est pas favorable à l’adoption de nouvelles habitudes de vie ? Quels sont les leviers d’action ? Tous ces questionnements ne sont pas nouveaux mais demandent à être posés pour penser l’ETP de demain. Cet article propose d’explorer des pistes de réponse en s’appuyant sur un retour d’expérience suite à la mise en place de l’expérimentation Les Semeurs de Santé, portée par la plateforme territoriale d’ETP de Lorient-Quimperlé en Bretagne. Les Semeurs de Santé est une intervention ancrée dans le champ de la promotion de la santé croisant ETP, santé communautaire et éducation populaire. Cet article revient sur les évolutions insufflées par ce croisement dans les pratiques d’accompagnement des professionnelles de la plateforme territoriale d’ETP tant en termes de valeurs, de méthodologie que de posture professionnelle.
Improving the position accuracy via merged line and point features for GNSS/SINS/Vision integration in a degradation environment
Authors: Ye Tong , Liu Wanke , Hu Jie , Lei Weihao 
Published: December 2024

Abstract
In complex urban environments, the GNSS/INS integration diverges over time when severe GNSS degradation occurs due to the harsh environment. Based on visual point features, the visual-inertial odometry system has been integrated with the GNSS to solve this problem. However, the accuracy of this system decreases when the GNSS and visual point features degrade simultaneously in the GNSS harsh environments and low-texture scenes. The artificial structures in complex urban environments render line features more reliable than point features. To further improve the positioning accuracy of the point-based fusion system, we propose a GNSS/INS/Vision integration method based on point and line features, where visual measurements in a sliding window and the GNSS position are used to reduce or eliminate the cumulative errors of the IMU state in the back end. In addition, visual features are merged at the front end via an adaptive threshold based on the line feature length. Two urban infield experiments are used to evaluate the effectiveness of the proposed method through improvements in the time consumption of line feature matching and position accuracy. The analysis demonstrates that the average time consumption is reduced by 50.03% and 82.19%, and the maximum position error is reduced by 42.56% and 55.48%, respectively in the two scenarios. Additional evaluations based on KAIST Urban 38 public datasets indicate that our proposed system achieves a better positioning accuracy than that of VINS-Fusion, which is a state-of-the-art GNSS/INS/Vision integration system that uses only point features.
Understanding the electric field dependent channel migration for shorter channel length of multilayer rhenium disulfide (ReS2) FETs
Authors: Choi Hyeong Jin , Choi Yun Jae , Kim Gyu-Tae 
Published: December 2024

Abstract
Multilayer rhenium disulfide (ReS2) has attracted considerable attention due to the decoupled van der Waals interaction between its adjacent layers, leading to significantly higher interlayer resistance compared with other layered materials. While the carrier transport in multilayer materials can be well described by the interlayer resistance (R
Int) and Thomas–Fermi charge screening length (

λ

TF

) in resistor network models, the electric field scaling of the channel with the back gate voltage (V
BG) and the drain voltage (V
D) is limited in two-dimensional (2D) multilayer materials. In this report, we present the effects of V
BG and V
D on the channel migration of ReS2 field effect transistors (FETs) with channel lengths of 0.25, 2.4, and 4.4 μm. For shorter channels, the V
BG-dependent conductance (G = (drain current (I
D)/V
D)) increases with increasing V
D, different from the longer channels. Based on the resistor network model, the different behaviors with channel lengths were analyzed by considering the interlayer resistance (R
Int) versus the channel resistance and the Thomas–Fermi charge screening length (

λ

TF

). Lower back gate voltage (V
BG) in shorter channels builds the channel near the bottom layer close to the oxide, while high V
BG shifts the conductive channel to the top sheet exposed to ambient condition. In longer channels, due to the increased channel resistance (R
ch), the conductive channel forms near the bottom side close to the oxide. The increase of the threshold voltage (V
th) was observed at higher drain-source voltages (V
D), but in opposite for the top side channel, i.e. the decrease of threshold voltage with increasing V
D. This study will give a hint on establishing the electric field scaling of 2D material-based FETs with channel lengths and applied voltages of V
BG and V
D.
Prediction of laser-induced breakdown in sub-micron-thick dielectric targets for laser-ion acceleration
Authors: Assenbaum Stefan , Bock Stefan , Cowan Thomas E , Gebhardt René , Helbig Uwe , Kroll Florian , Metzkes-Ng Josefine , Püschel Thomas , Rehwald Martin , Schilz Joshua D , Schlenvoigt Hans-Peter , Schramm Ulrich , Štefaníková Radka , Streil Thomas , Umlandt Marvin E P , Vescovi Milenko , Wang Pengjie , Zeil Karl , Ziegler Tim , Bernert Constantin 
Published: December 2024

Abstract
In laser-ion acceleration experiments, the interaction of the rising flank of a high power laser pulse with the target can cause pre-ionization and subsequent target pre-expansion long before the arrival of the main laser peak. Exact knowledge of this target pre-expansion is required in order to understand the laser-plasma acceleration mechanisms with the help of numerical simulations. For dielectric targets, the starting point of target pre-expansion is characterized by the point in time at which the target undergoes laser-induced breakdown (LIB). In this work, we present a method to determine the time of LIB in sub-micron-thick Formvar targets during interaction with a specific high-power laser pulse. The required pulse-duration-dependent LIB threshold of Formvar is measured in a dedicated experiment. A comparison of LIB threshold to previously published data facilitates a generalization to other wide-band-gap dielectric targets for laser-ion acceleration.
A novel horizontal self-tuning piezoelectric energy harvester based on a beam-slider system
Authors: Xie Zhengqiu , Fang Gen , Ge Shuaishuai , Zhang Zhigang , Shu Ruizhi , Wang Zhiguo , Liu Ziqian , Huang Wenbin 
Published: December 2024

Abstract
With the rapid development of piezoelectric energy harvesting technologies, this approach is emerging as a promising power source for smart sensors. Despite this progress, a significant challenge remains in achieving a wider bandwidth while increasing the output power. In response to this challenge, this paper introduces a horizontal self-tuning beam-slider piezoelectric energy harvester (STBS-PEH). This innovative harvester employs a unilateral beam-slider mechanism to enable self-tuning of the energy harvesting by adjusting its resonant frequency to match the external excitation frequency. The electromechanical coupled dynamic model of this harvester has been established. Comprehensive simulations and experimental analysis have been conducted to demonstrate the wide bandwidth and high output power characteristics of the proposed harvester. Notably, the simulation results exhibit strong agreement with the experimental findings. The resonance response bandwidth of the STBS-PEH is particularly noteworthy, which is twice that of a conventional cantilever beam PEH. The root mean square voltage and output power of the developed STBS-PEH can reach 23.54 V and 194.61 µW, respectively, at a frequency of 21 Hz, with an excitation amplitude of 0.5 g. These results demonstrate that the STBS-PEH is capable of powering low-power electronic devices in a broadband vibrational environment.