bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of three camera trap designs for sampling small mammals
Authors: Fink Maya , Jachowski David 
Published: February 2025

Abstract
Small mammals are increasingly of conservation concern, and addressing management questions like distribution and habitat associations for many species has been limited by low detection rates. Recently, three novel camera trapping designs for small mammals (Mostela, Small Mammal Box, and Baited Post) have been pioneered for camera-trap-based small mammal monitoring. However, these techniques have not been comparatively assessed. We aimed to evaluate the effectiveness of these three designs at capturing images of small mammals in forest edge habitats of the southeastern United States. Across all methods we generally were only able to identify larger bodied small mammals (> 25 cm in length) to species, although the percentage of mammals we successfully identified down to species was greatest for the Mostela. The Small Mammal Box and Mostela recorded more small mammal species on average than the Baited Post, and the Small Mammal Box had five times more mice detections than other techniques. Latency to detection varied by species, with mice (Peromyscus sp.), opossums (Didelphis virginiana), and rabbit (Sylvilagus sp.) visiting the Small Mammal Box 1 to 8 days earlier than the Mostela and the Baited Post. While no single technique enabled us to identify all small mammals encountered down to species, we suggest the broader use of Small Mammal Boxes and Mostelas, particularly in combination with traditional capture designs, could enhance monitoring and ultimately fill knowledge gaps for small mammal species in this region.
The Impact of Diet Quality on COVID-19 Severity and Outcomes—A Scoping Review
Authors: Tassakos Athina , Kloppman Alanna , Louie Jimmy Chun Yu 
Published: February 2025

Abstract

Purpose of Review
The COVID-19 pandemic, caused by SARS-CoV-2, has highlighted the potential role of nutrition in modifying disease susceptibility and severity. This review aims to systematically evaluate the current evidence on associations between dietary patterns, assessed using diet quality scores (DQS), and COVID-19 severity and outcomes.

Recent Findings
A comprehensive literature search identified 15 studies across diverse populations. Prospective cohort studies generally found higher diet quality associated with lower COVID-19 infection rates. Case–control studies consistently showed reduced odds of COVID-19 infection and severe illness with adherence to anti-inflammatory dietary patterns, particularly the Mediterranean diet. Cross-sectional data revealed associations between higher DQS and reduced COVID-19 symptom burden and improved prognostic biomarkers. An ecological study demonstrated inverse relationships between national-level diet quality and COVID-19 caseloads. Mediterranean, Dietary Approaches to Stop Hypertension (DASH), and plant-based diet scores were notably predictive of favourable outcomes, even after adjusting for confounders. Conversely, consumption of processed foods high in saturated fats, sugars, and additives was linked to increased COVID-19 complications. Despite these findings, research gaps remain, including the impacts of specific dietary components, effect modifiers across populations, and establishing causality through interventional trials.

Summary
This review highlights the observational evidence supporting the potential integration of optimal nutrition into pandemic preparedness strategies. Further research is needed to strengthen these findings and inform evidence-based dietary recommendations for COVID-19 prevention and management.
Recovery Blindness: The Concept of Recovery in Veterans with a Gambling Disorder – A Scoping Review*
Authors: Gavriel-Fried Belle , Vana Noa , Xu Tiange , Kraus Shane W. 
Published: February 2025

Abstract

Purpose of Review
Gambling disorder (GD) presents significant psychiatric challenges, particularly for vulnerable populations like military veterans, who often also face mental health comorbidities. Recovery is a crucial issue in the gambling field, representing a transition from illness to health. Currently, there is no consensus regarding its definition. This scoping review aimed to map the characteristics of studies on recovery in veterans with GD, explore how it is defined and measured, identify the dominate recovery approach, and the main research topics.

Recent Findings
This review identified 13 scientific articles. Findings showed minimal explicit use of the term “recovery” by researchers. The main recovery approach is the deficit based. Most studies focused on treatment programs and their effectiveness, neglecting the unique characteristics of veterans and alternative recovery pathways.

Summary
Future studies should explore and conceptualize recovery in veterans, and inquire into the specific recovery needs of veterans living with GD.
The impact of glucagon-like peptide-1 (GLP-1) agonists in the treatment of eating disorders: a systematic review and meta-analysis
Authors: Radkhah Hanieh , Rahimipour Anaraki Shiva , Parhizkar Roudsari Peyvand , Arabzadeh Bahri Razman , Zooravar Diar , Asgarian Sara , Hosseini Dolama Reza , Alirezaei Ali , Khalooeifard Razieh 
Published: February 2025

Abstract

Purpose
Glucagon-like peptide-1 (GLP-1) receptor agonists have shown potential in managing eating disorders (EDs). Recent studies highlight their effects on pathophysiological pathways, indicating their therapeutic promise, particularly for binge eating disorder (BED). This systematic review evaluates the therapeutic effects of GLP-1 agonists on BED, focusing on weight management and eating behaviors.

Methods
A systematic search of PubMed, Scopus, Web of Science, and the Cochrane Library, along with manual searches, identified studies assessing GLP-1 agonists in BED patients up to November 8, 2024. Observational studies and clinical trials meeting inclusion criteria were analyzed.

Results
Five studies (182 participants) were included. Patients receiving GLP-1 agonists experienced greater weight loss (− 3.81 kg; 95% CI − 5.14 to − 2.49; p < 0.01, I
2: 59.88%) compared to controls. GLP-1 agonists significantly reduced BMI (− 1.48 kg/m2) and waist circumference (− 3.14 cm). Binge Eating Scale (BES) scores improved significantly (− 8.14 points; 95% CI − 13.13 to − 3.15; p < 0.01), though heterogeneity was noted.

Conclusions
This review underscores the potential role of GLP-1 agonists in BED management. However, given the limited data, especially concerning EDs other than BED and the long-term effects of these medications, further comprehensive clinical trials are recommended to evaluate the impact of various GLP-1 agonists on different EDs across diverse demographic groups.

Level of evidence
Level I, randomized controlled trials.
ccfDNA analysis for the classification of adrenocortical adenomas
Authors: Xu Mengjie , Tourigny David S. , Lippert Juliane , Crastin Ana , Appenzeller Silke , Asia Miriam , Podstawka Oskar , Smith Gabrielle , Elhassan Yasir S. , Skordilis Kassiani , Prete Alessandro , Ronchi Cristina L. 
Published: February 2025

Abstract

Background
Somatic alterations are commonly observed in adrenocortical adenomas including cortisol-producing (CPA) [overt Cushing syndrome (CS) or mild autonomous cortisol secretion (MACS)], aldosterone-producing (APA), and non-functioning (NFAT) tumors. We tested whether somatic variants could be detected in circulating cell-free DNA (ccfDNA) from patients with adenomas and potentially contribute to management strategies.

Materials and methods
We investigated 44 patients (17 CPA-MACS, 9 CPA-CS, 12 APA, and 6 NFAT). 23 healthy subjects (HS) served as controls. ccfDNA was extracted from blood samples and quantified with fluorimeter. Tumor DNA (T-DNA) was isolated from paraffin embedded tissue in 17/44 cases. Matched ccfDNA/T-DNA were sequenced using a customized panel including 32 genes. Leucocyte DNA was used to filter out germline variants.

Results
Patients with adenomas had higher total ccfDNA concentrations than HS [median 0.12 (IQR 0.05–0.19) vs. 0.05 (0.00-0.08) ng/µl, P < 0.001], with CPA-CS showing the highest ccfDNA levels [0.18 (0.05–0.47) ng/µl]. Within T-DNA, somatic variants were identified in 53% of adenomas: PRKACA in 2/7 CPA-CS, CTNNB1 in 3/5 CPA-MACS and 1/7 CPA-CS, KCNJ5 in 2/5 APA and CACNA1D in 1/5 APA. Somatic mutations were not detected in any of the investigated ccfDNA samples.

Conclusions
Total ccfDNA concentrations are higher in patients with CPA-CS. Despite the presence of somatic variants in half of tumor samples, we did not detect any at ccfDNA level. Therefore, this approach appears ineffective for pre-operative detection of genetic alterations.
Engineering Students’ Initial Use Schemes of ChatGPT as an Instrument for Learning
Authors: Kock Zeger-jan , Salinas-Hernández Ulises , Pepin Birgit 
Published: February 2025

Abstract
ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud’s notion of “use schemes,” we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in mathematics/engineering; (b) for general academic purposes; and (c) in the students’ personal lives. Domain (a), with a focus on mathematical modelling, has a relation to mathematics education. Students used ChatGPT to foster their conceptual understanding, to find alternative modelling strategies, to translate mathematical models to computer code, and to optimize this computer code. The students developed a critical attitude in relation to the limitations of the tool and, according to the interview data, their schemes developed over time. The interview data show some evidence for the emergence of a hybrid form of learning in which ChatGPT became a co-agent of learning, an interactive resource with which the students could discuss their ideas. We consider the case as a positive example of how ChatGPT can contribute to student agency in education and support the development of knowledge and student competencies.
Quantitative analysis of different SLAM algorithms for geo-monitoring in an underground test field
Authors: Li Jing , Benndorf Jörg , Trybała Paweł 
Published: February 2025

Abstract
Geo-monitoring provides quantitative and reliable information to identify hazards and adopt appropriate measures timely. However, this task inherently exposes monitoring staff to hazardous environments, especially in underground settings. Since 2000s, robots have been widely applied in various fields and many studies have focused on establishing autonomous mobile robotic systems as well as solving the issue of underground navigation and mapping. However, only a few studies have conducted quantitative evaluations of these methods, and almost none have provided a systematic and comprehensive assessment of the suitability of mapping robots for underground geo-monitoring. In this study, a methodology for objective and quantitative assessment of the applicability of SLAM methods in underground geo-monitoring is proposed. This involves the development of an underground test field and some specific metrics, which allow detailed local accuracy analysis of point measurements, line segments, and areas using artificial targets. With this proposed methodology, a series of repeated experimental measurements has been performed with an autonomous driving robot and the selected LiDAR- and visual-based SLAM methods. The resulting point cloud was compared with the reference data measured by a total station and a terrestrial laser scanner. The accuracy and precision of the selected SLAM methods as well as the verifiability and reliability of the results are evaluated and discussed by analysing quantities such as the deviations of the control points coordinates, cloud-to-cloud distances between the test and reference point cloud, normal vector, centre point coordinates and area of the planar objects. The results demonstrate that the HDL Graph SLAM achieves satisfactory precision, accuracy, and repeatability with a mean cloud-to-cloud distance of 0.12 m (with a standard deviation of 0.13 m) in an 80 m closed-loop measurement area. Although RTAB-Map exhibits better plane-capturing capabilities, the measurement results reveal instability and inaccuracies.
A Novel Surface‐Based Approach to Represent Aquifer Heterogeneity in Sedimentary Formations
Authors: Schorpp Ludovic , Straubhaar Julien , Renard Philippe 
Published: February 2025

AbstractSedimentary formations that compose most aquifers are difficult to model as a result of the nature of their deposition. Their formation generally involves multiple processes (alluvial, glacial, lacustrine, etc.) that contribute to the complex organization of these deposits. Representative models can be obtained using process‐based or rule‐based methods. However, such methods have several drawbacks: complicated parameterization, large computing time, and challenging, if not impossible, conditioning. To address these problems, we propose a new simple hierarchical surface‐based algorithm, named EROSim. First, a predefined number of stochastic surfaces are simulated in a given order (from older to younger). These surfaces are simulated independently but interact with each other through erosion rules. Each surface is either an erosive or a deposition surface. The deposition surfaces represent the boundaries of depositional events, whereas the erosive surfaces can remove parts of the previously simulated deposits. Finally, these surfaces delimit sedimentary regions that are filled with facies. The approach is quite simple, general, flexible, and can be conditioned to borehole data. The applicability of the method is illustrated using data from fluvio‐glacial sedimentary deposits observed in the Bümberg quarry in Switzerland.
Prompt injection attacks on vision language models in oncology
Authors: Clusmann Jan , Ferber Dyke , Wiest Isabella C. , Schneider Carolin V. , Brinker Titus J. , Foersch Sebastian , Truhn Daniel , Kather Jakob Nikolas 
Published: February 2025

Abstract
Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed in healthcare in numerous ways, including as image interpreters, virtual scribes, and general decision support systems. However, here, we demonstrate that current VLMs applied to medical tasks exhibit a fundamental security flaw: they can be compromised by prompt injection attacks. These can be used to output harmful information just by interacting with the VLM, without any access to its parameters. We perform a quantitative study to evaluate the vulnerabilities to these attacks in four state of the art VLMs: Claude-3 Opus, Claude-3.5 Sonnet, Reka Core, and GPT-4o. Using a set of N = 594 attacks, we show that all of these models are susceptible. Specifically, we show that embedding sub-visual prompts in manifold medical imaging data can cause the model to provide harmful output, and that these prompts are non-obvious to human observers. Thus, our study demonstrates a key vulnerability in medical VLMs which should be mitigated before widespread clinical adoption.
Allogeneic CD33-directed CAR-NKT cells for the treatment of bone marrow-resident myeloid malignancies
Authors: Li Yan-Ruide , Fang Ying , Niu Siyue , Zhu Yichen , Chen Yuning , Lyu Zibai , Zhu Enbo , Tian Yanxin , Huang Jie , Rezek Valerie , Kitchen Scott , Hsiai Tzung , Zhou Jin J. , Wang Pin , Chai-Ho Wanxing , Park Sunmin , Seet Christopher S. , Oliai Caspian , Yang Lili 
Published: February 2025

Abstract
Chimeric antigen receptor (CAR)-engineered T cell therapy holds promise for treating myeloid malignancies, but challenges remain in bone marrow (BM) infiltration and targeting BM-resident malignant cells. Current autologous CAR-T therapies also face manufacturing and patient selection issues, underscoring the need for off-the-shelf products. In this study, we characterize primary patient samples and identify a unique therapeutic opportunity for CAR-engineered invariant natural killer T (CAR-NKT) cells. Using stem cell gene engineering and a clinically guided culture method, we generate allogeneic CD33-directed CAR-NKT cells with high yield, purity, and robustness. In preclinical mouse models, CAR-NKT cells exhibit strong BM homing and effectively target BM-resident malignant blast cells, including CD33-low/negative leukemia stem and progenitor cells. Furthermore, CAR-NKT cells synergize with hypomethylating agents, enhancing tumor-killing efficacy. These cells also show minimal off-tumor toxicity, reduced graft-versus-host disease and cytokine release syndrome risks, and resistance to allorejection, highlighting their substantial therapeutic potential for treating myeloid malignancies.
Vaccine-induced T cell receptor T cell therapy targeting a glioblastoma stemness antigen
Authors: Chih Yu-Chan , Dietsch Amelie C. , Koopmann Philipp , Ma Xiujian , Agardy Dennis A. , Zhao Binghao , De Roia Alice , Kourtesakis Alexandros , Kilian Michael , Krämer Christopher , Suwala Abigail K. , Stenzinger Miriam , Boenig Halvard , Blum Agnieszka , Pienkowski Victor Murcia , Aman Kuralay , Becker Jonas P. , Feldmann Henrike , Bunse Theresa , Harbottle Richard , Riemer Angelika B. , Liu Hai-Kun , Etminan Nima , Sahm Felix , Ratliff Miriam , Wick Wolfgang , Platten Michael , Green Edward W. , Bunse Lukas 
Published: February 2025

Abstract
T cell receptor-engineered T cells (TCR-T) could be advantageous in glioblastoma by allowing safe and ubiquitous targeting of the glioblastoma-derived peptidome. Protein tyrosine phosphatase receptor type Z1 (PTPRZ1), is a clinically targetable glioblastoma antigen associated with glioblastoma cell stemness. Here, we identify a therapeutic HLA-A*02-restricted PTPRZ1-reactive TCR retrieved from a vaccinated glioblastoma patient. Single-cell sequencing of primary brain tumors shows PTPRZ1 overexpression in malignant cells, especially in glioblastoma stem cells (GSCs) and astrocyte-like cells. The validated vaccine-induced TCR recognizes the endogenously processed antigen without off-target cross-reactivity. PTPRZ1-specific TCR-T (PTPRZ1-TCR-T) kill target cells antigen-specifically, and in murine experimental brain tumors, their combined intravenous and intracerebroventricular administration is efficacious. PTPRZ1-TCR-T maintain stem cell memory phenotype in vitro and in vivo and lyse all examined HLA-A*02+ primary glioblastoma cell lines with a preference for GSCs and astrocyte-like cells. In summary, we demonstrate the proof of principle to employ TCR-T to treat glioblastoma.
A systematised review and evidence synthesis on the broader societal impact of vaccines against Salmonella
Authors: Demirtas Ezgi Dilek , Barnard Rosanna , Lee Jungseok , Jit Mark 
Published: February 2025

Abstract
Vaccines against Salmonella Typhi are available, while vaccines against invasive non-typhoidal Salmonella are in development. Investments in vaccine development and introduction need to be informed by a full value of vaccines assessment, including consideration of broader societal impacts of salmonellae disease. We reviewed literature on these broader impacts in low- and middle-income countries to inform a conceptual framework. We found 16 studies relevant to Salmonella, but only one study on non-typhoidal Salmonella. Despite variations in study design, methodology, and study quality, salmonellae infections were largely associated with negative broader societal impacts, including detriments in childhood physical development (very weak association), childhood educational development (strong to very strong association), household security (moderate association), public health spending (moderate association), and national income (moderate to strong association). Study quality was low for all impacts except childhood physical development. There were no studies measuring economic impact of antimicrobial resistance, changes in household behaviour or health inequalities.
An integrated dataset of spatiotemporal and event data in elite soccer
Authors: Bassek Manuel , Rein Robert , Weber Hendrik , Memmert Daniel 
Published: February 2025

Abstract
Data-driven match analysis in soccer is a growing discipline in both research and practice. However, public data is scarce, which raises the barrier for entering this field and decreases reproducibility of methods and results. To bridge this gap, this paper presents a dataset of official match information, event, and position data from seven matches of the German Bundesliga’s first and second division. The match information contains meta data about the matches and their participants. The event data contain timestamps along with descriptions of discrete events, like passes, shots, or fouls. The position data contain the x/y-coordinates of every player and the ball. By integrating multiple data modalities – i.e., event logs with timestamps, and x-y coordinates of player and ball positions — the dataset offers a multidimensional view of match dynamics. This dataset supports the validation of existing analytical techniques and facilitates the development of new methodologies in sports analytics. With availability under CC-BY 4.0, it promotes transparency, reproducibility, and the idea of open science in match analysis research.
Alpha synuclein overexpression can drive microbiome dysbiosis in mice
Authors: Sampson Timothy R. , Wallen Zachary D , Won Woong-Jai , Standaert David G. , Payami Haydeh , Harms Ashley S. 
Published: February 2025

Abstract
Growing evidence indicates that persons with Parkinson disease (PD), have a unique composition of indigenous gut microbes. Given the long prodromal or pre-diagnosed period, longitudinal studies of the human and rodent gut microbiome before symptomatic onset and for the duration of the disease are currently lacking. PD is partially characterized by the accumulation of the protein α-synuclein (α-syn) into insoluble aggregates, in both the central and enteric nervous systems. As such, several experimental rodent and non-human primate models of α-syn overexpression recapitulate some of the hallmark pathophysiologies of PD. These animal models provide an opportunity to assess how the gut microbiome changes with age under disease-relevant conditions. Here, we used a transgenic mouse strain, which overexpress wild-type human α-syn to test how the gut microbiome composition responds in this model of PD pathology during aging. Using shotgun metagenomics, we find significant, age and genotype-dependent bacterial taxa whose abundance becomes altered with age. We reveal that α-syn overexpression can drive alterations to the gut microbiome composition and suggest that it limits diversity through age. Taxa that were most affected by genotype-age interaction were Lactobacillus and Bifidobacteria. In a mouse model, we showed direct link between alpha synuclein geneotype (hallmark of PD), a dysbiotic and low-diversity gut microbiome, and dysbiotic levels of Bifidobacteria and Lactobacillus (most robust features of PD microbiome). Given emerging data on the potential contributions of the gut microbiome to PD pathologies, our data provide an experimental foundation to understand how the PD-associated microbiome may arise as a trigger or co-pathology to disease.