bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors, patterns, and correlates of moderate-severe psychological distress among New York City College Students during Waves 2–4 of COVID-19
Authors: Heck Craig J. , Theodore Deborah A. , Autry April , Sovic Brit , Yang Cynthia , Anderson-Burnett Sarah Ann , Ray Caroline , Austin Eloise , Rotbert Joshua , Zucker Jason , Catallozzi Marina , Sobieszczyk Magdalena E. , Castor Delivette 
Published: January 2025

Abstract
The COVID-19 pandemic may have exacerbated mental health conditions by introducing and/or modifying stressors, particularly in university populations. We examined longitudinal patterns, time-varying predictors, and contemporaneous correlates of moderate-severe psychological distress (MS-PD) among college students. During 2020–2021, participants completed self-administered questionnaires quarterly (T1 = 562, T2 = 334, T3 = 221, and T4 = 169). MS-PD reflected Kessler-6 scores ≥ 8. At T1 (baseline), most participants were cisgender women [96% vs. 4% transgender/gender non-conforming (TGNC)]. MS-PD prevalence was over 50% at all timepoints. MS-PD predictors included low self-rated health and perceptions of local pandemic control, verbal/physical violence experience, food insecurity, cohabitation dynamics, geographic location, and loneliness. Unique MS-PD correlates encompassed drug use and TGNC identity. Trajectories comprised Persistently (40%), Highly (24% MS-PD twice/thrice), Minimally (15% MS-PD once), and Never (21%) Distressed. Persistently Distressed students had low social support and self-rated health; high food insecurity, drug use, physical/verbal violence experience, need-based financial aid, and TGNC representation; and fluctuating self-rated health amid increasing COVID-19 symptomatology. In this sample, MS-PD prevalence was high, persistent, and associated with financial, behavioral, structural, experiential, and intra- and inter-personal factors. Given its complexity, improving and preserving college students’ mental health necessitates comprehensive, multi-component activities to change adjustable stressors while attenuating the adverse effects of immutable influences.
MUC1 and glycan probing of CA19-9 captured biomarkers from cyst fluids and serum provides enhanced recognition of ovarian cancer
Authors: Ruma Shamima Afrin , Vinod Rufus , Jain Shruti , Huhtinen Kaisa , Hynninen Johanna , Leivo Janne , Pettersson Kim , Sundfeldt Karin , Gidwani Kamlesh 
Published: January 2025

Abstract
Glycosylation changes of circulating proteins carrying the CA19-9 antigen may offer new targets for detection methods to be explored for the diagnosis of epithelial ovarian cancer (EOC). Search for assay designs for targets initially captured by a CA19-9 antigen reactive antibody from human body fluids by probing with fluorescent nanoparticles coated with lectins or antibodies to known EOC associated proteins. CA19-9 antigens were immobilized from ascites fluids, ovarian cyst fluids or serum samples using monoclonal antibody C192 followed by probing of carrier proteins using anti-MUC16, anti-MUC1 and, anti STn antibodies and seven lectins, all separately coated on nanoparticles. Compared to reference CA19-9 and CA125 immunoassays, nanoparticle aided detection using MUC16, Ma695 and STn antibodies and lectin WGA provided, both separately and combined, improved discrimination of EOC and borderline cancers from benign samples when applied to 60 cyst fluid specimens. When applied to a panel of 44 serum samples (EOC N = 24, healthy and benign samples N = 20) two assays, CA19-9Ma695 and CA19-9MUC1, stood out with equally superior separations (p-values < 10–8) of the two groups compared to conventional CA19-9 immunoassay (p-value 0.03).Eu+3 -NP based CA19-9MUC16, CA19-9Ma695, CA19-9STn and CA19-9WGA show promise for improved EOC detection when applied to ascites & cyst fluids. When applied to circulation-derived samples, the two MUC1 based assays, CA19-9Ma695 and CA19-9Ma552 outperformed other assay constructs. Our results call for further validation in larger EOC cohorts preferentially with early stage ovarian cancers and all major histotypes against commonly occurring benign conditions.
Structural, morphological and biological assessment of magnetic hydroxyapatite with superior hyperthermia potential for orthopedic applications
Authors: Saroj Smrithi , Vijayalakshmi U. 
Published: January 2025

Abstract
Hydroxyapatite (HA) is an important constituent of natural bone. The properties of HA can be enhanced with the help of various ionic substitutions in the crystal lattice of HA. Iron (Fe) is a vital element present in bones and teeth. In this study, iron-doped HA was synthesized using a refluxing-based sol-gel route with varying concentrations of iron (1–9 M%). Samples were analyzed using an X-ray diffractometer (XRD), UV–Vis Spectrophotometer, Fourier-transform infrared spectroscopy (FT-IR), vibrating sample magnetometer (VSM) and Scanning Electron Microscope (SEM). The biological assessment was carried out by hemolytic assay, anti-bacterial activity and in-vitro biocompatibility. XRD data confirmed the evolution of the hexagonal HA crystal structure with the reduction in the crystallinity and the crystallite size. All the characteristic bands were confirmed using FT-IR which also further proved the existence of A-type carbonated apatite. The UV–Vis spectra confirmed the reduction in the band gap energies owing to the substitution of iron. The SEM results showed a change in the shape of the samples with increasing iron concentration. The magnetic behavior of samples also altered from diamagnetic to ferromagnetic behavior due to the doping of iron with enhanced heating efficiency. All the samples were found to be hemocompatible. The antibacterial efficacy was found to be higher for E. coli (gram-negative) bacteria compared to S. aureus (gram-positive) bacteria. Moreover, the superior cell viability of MG-63 (osteoblast-like) cells was observed in Fe-doped HA, attributed to MTT assay which revealed the enhanced cell viability of osteoblast-like cells in the Fe-doped HA. These results strongly emphasize the potential of the developed samples for bone regeneration applications.
Evaluation of transcriptomic changes after photobiomodulation in spinal cord injury
Authors: Stevens Andrew R. , Hadis Mohammed , Alldrit Hannah , Milward Michael R. , Di Pietro Valentina , Gendoo Deena M. A. , Belli Antonio , Palin William , Davies David J. , Ahmed Zubair 
Published: January 2025

Abstract
Spinal cord injury (SCI) is a significant cause of lifelong disability, with no available disease-modifying treatments to promote neuroprotection and axon regeneration after injury. Photobiomodulation (PBM) is a promising therapy which has proven effective at restoring lost function after SCI in pre-clinical models. However, the precise mechanism of action is yet to be determined. Here, we used an in-vivo model of SCI in adult rats that received daily PBM (660 nm, 24 mW/cm2, 1 min) and at three days post-injury, the injured spinal cord segment was harvested and subjected to whole transcriptome sequencing and subsequent pathway analysis (generally applicable gene-set enrichment (GAGE)). Pathway analysis demonstrated 1275 differentially expressed genes (DEGs) after PBM treatment, of which 397 were upregulated and 878 were downregulated. Key pathways were significantly enriched, including 8.6-fold enrichment of “neuron projection morphogenesis” (adjusted p = 8.10 × 10− 14), with upregulation of Notch3, Slit1/Robo2 and Sema3g pathways. Ribosomal and oxidative phosphorylation pathways and NADH dehydrogenase were downregulated, and there was upregulation of ATP-dependent activity, cAMP and calcium signalling pathways. Key genes in apoptotic pathways were downregulated, as were S100 and cyclo-oxygenase components. Together, our study supports the favourable effects of PBM in promoting neuroregeneration and suppressing apoptosis after neurological injury. Further findings from pathway analysis suggest that downregulation of metabolism-associated pathways is a mechanism by which acute post-injury mitochondrial dysfunction may be averted by PBM therapy.
Subclinical depressive symptoms and job stress differentially impact memory in working and retired older adults
Authors: Ferguson Lorena A. , Harikumar Amritha , Leal Stephanie L. 
Published: January 2025

Abstract
Retirement has been associated with cognitive decline beyond normal age-related decline. However, there are many individual differences in retirement that can influence cognition. Subclinical depressive symptoms are common in late life and are associated with general memory decline and a bias towards remembering negative events (i.e., better memory for negative vs. positive or neutral stimuli), in opposition to a reported positivity bias (i.e., better memory for positive vs. negative or neutral stimuli) in aging. Furthermore, job stress is often a major contributor to retirement decisions and may impact cognition post-retirement. Here, we aimed to examine how subclinical depressive symptoms and job stress in working and retired older adults impacted emotional memory. We found that retired, but not working, older adults with greater depressive symptoms showed enhanced negative and impaired positive memory. Second, working older adults with moderately high current job stress showed better memory overall but a weaker positivity bias, while retired older adults with moderately high retrospective job stress showed worse memory overall and a stronger positivity bias. These findings suggest that subclinical depressive symptoms and job stress have differing impacts on emotional memory in late life depending on retirement status.
Residual nitrite and nitrate in processed meats and meat analogues in the United States
Authors: Sheng Siyuan , Silva Erin M. , Tarté Rodrigo , Claus James R. 
Published: January 2025

Abstract
Residual nitrite (NO2
−) and nitrate (NO3
−) have been widely studied in the past few decades for their function to improve processed meat quality and their impact on human health1–4. In this study we examined how the residual nitrite and nitrate (NOx
−) content of major classes of processed meats products (n = 1132) produced locally from three regions (East Coast, Midwest and West Coast) and plant protein-based meat analogues (n = 53) available at retail in the United States was influenced by their composition, processing, and geographical attributes. We also conducted time-dependent depletion studies and observed different patterns of NOx
− depletion and conversion during processing and storage and correlated them with product quality. Together, our results reveal a comprehensive prospective of NOx
− content in processed meats and meat analogues. The NO2
− in processed meats and meat analogues averaged (± standard error; minimum and maximum value in parentheses) 13.7 ± 0.62 (0.0-214.5) and 1.7 ± 0.34 (0.0–11.0), respectively, and the NO3
− in processed meats and meat analogues averaged 32.6 ± 0.90 (2.0–205.9) and 7.2 ± 0.56 (4.0-25.3) ppm, respectively.
A curative effect evaluation of intensity-modulated radiation therapy combined with periorbital triamcinolone acetonide injection in treating thyroid eye disease patients with active extraocular muscle but low CAS
Authors: Zhang Hao , He Weimin 
Published: January 2025

Abstract
The purpose of this study is to evaluate the effectiveness of intensity-modulated radiation therapy (IMRT) combined with periorbital triamcinolone acetonide injection in treating thyroid eye disease (TED) patients with active extraocular muscle but low CAS. The retrospective observational study was conducted. A total of 156 eligible patients were selected from the TED patient database of the Ophthalmology Department of West China Hospital of Sichuan University. The patient’s relevant medical history was recorded, including gender, age of initial onset, onset eye, the interval between onset and the first visit to our hospital, extraocular muscle condition, smoking status, CAS, NOSPECS, thyroid function, symptoms and signs, and the condition of the affected extraocular muscle. We found that IMRT combined with periorbital triamcinolone acetonide injection has a good therapeutic effect on TED patients with low CAS but significant active extraocular muscles, and there is a significant improvement at 3 months after treatment. Thyroid function and CAS can affect the curative effect of IMRT. Patients with hyperthyroidism had worse effect than those with normal thyroid function. The higher the CAS, the better the effect.
All-silicon non-volatile optical memory based on photon avalanche-induced trapping
Authors: Yuan Yuan , Peng Yiwei , Cheung Stanley , Sorin Wayne V. , Hooten Sean , Huang Zhihong , Liang Di , Zhang Jiuyi , Fiorentino Marco , Beausoleil Raymond G. 
Published: January 2025

Abstract
Implementing on-chip non-volatile optical memories has long been an actively pursued goal, promising significant enhancements in the capability and energy efficiency of photonic integrated circuits. Here, we demonstrate an non-volatile optical memory exclusively using the most common semiconductor material, silicon. By manipulating the photon avalanche effect, we introduce a trapping effect at the silicon-silicon oxide interface, which in turn demonstrates a non-volatile reprogrammable optical memory cell with a record-high 4-bit encoding, robust retention and endurance. This silicon avalanche-induced trapping memory provides a distinctively cost-efficient and high-reliability route to realize optical data storage in standard silicon foundry processes. We demonstrate its applications in trimming in optical interconnects and in-memory computing. Our in-memory computing test case reduces energy consumption by approximately 83% compared to conventional optical approaches.
The genus Nocardia as a source of new antimicrobials
Authors: Nonthakaew Napawit , Sharkey Liam K. R. , Pidot Sacha J. 
Published: January 2025

Abstract
The genus Nocardia comprises over 130 species of soil-dwelling actinomycetes, many of which are opportunistic pathogens. Beyond their pathogenicity, Nocardia exhibits significant biosynthetic potential, producing an array of diverse antimicrobial secondary metabolites. This review highlights notable examples of these compounds and explores modern approaches to unlocking their untapped biosynthetic potential. As a relatively underexplored genus, Nocardia represents a promising source for new antibiotics to combat the growing resistance crisis.
Technology-supported self-triage decision making
Authors: Kopka Marvin , Wang Sonja Mei , Kunz Samira , Schmid Christine , Feufel Markus A. 
Published: January 2025

Abstract
Symptom-Assessment Application (SAAs) and Large Language Models (LLMs) are increasingly used by laypeople to navigate care options. Although humans ultimately make a final decision when using these systems, previous research has typically examined the performance of humans and SAAs/LLMs separately. Thus, it is unclear how decision-making unfolds in such hybrid human-technology teams and if SAAs/LLMs can improve laypeople’s decisions. To address this gap, we conducted a convergent parallel mixed-methods study with semi-structured interviews and a randomized controlled trial. Our interview data revealed that in human-technology teams, decision-making is influenced by factors before, during, and after interaction. Users tend to rely on technology for information gathering and analysis but remain responsible for information integration and the final decision. Based on these results, we developed a model for technology-assisted self-triage decision-making. Our quantitative results indicate that when using a high-performing SAA, laypeople’s decision accuracy improved from 53.2% to 64.5% (OR = 2.52, p < 001). In contrast, decision accuracy remained unchanged when using a LLM (54.8% before vs. 54.2% after usage, p = 79). These findings highlight the importance of studying SAAs/LLMs with humans in the loop, as opposed to analyzing them in isolation.
Environment scan of generative AI infrastructure for clinical and translational science
Authors: Idnay Betina , Xu Zihan , Adams William G. , Adibuzzaman Mohammad , Anderson Nicholas R. , Bahroos Neil , Bell Douglas S. , Bumgardner Cody , Campion Thomas , Castro Mario , Cimino James J. , Cohen I. Glenn , Dorr David , Elkin Peter L. , Fan Jungwei W. , Ferris Todd , Foran David J. , Hanauer David , Hogarth Mike , Huang Kun , Kalpathy-Cramer Jayashree , Kandpal Manoj , Karnik Niranjan S. , Katoch Avnish , Lai Albert M. , Lambert Christophe G. , Li Lang , Lindsell Christopher , Liu Jinze , Lu Zhiyong , Luo Yuan , McGarvey Peter , Mendonca Eneida A. , Mirhaji Parsa , Murphy Shawn , Osborne John D. , Paschalidis Ioannis C. , Harris Paul A. , Prior Fred , Shaheen Nicholas J. , Shara Nawar , Sim Ida , Tachinardi Umberto , Waitman Lemuel R. , Wright Rosalind J. , Zai Adrian H. , Zheng Kai , Lee Sandra Soo-Jin , Malin Bradley A. , Natarajan Karthik , Price II W. Nicholson , Zhang Rui , Zhang Yiye , Xu Hua , Bian Jiang , Weng Chunhua , Peng Yifan 
Published: January 2025

Abstract
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis reveals that 53% of institutions identified data security as a primary concern, followed by lack of clinician trust (50%) and AI bias (44%), which must be addressed to ensure the ethical and effective implementation of GenAI technologies.
Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support
Authors: Taiwo Olajumoke , Al‐Bander Baidaa 
Published: January 2025

AbstractMental health disorders have a global prevalence of 25%, according to the WHO, and this is exacerbated by factors such as stigma, geographical location, and a worldwide shortage of practitioners. Mental health chatbots have been developed to address these barriers, but these systems lack key features such as emotion recognition, personalisation, multilingual support, and ethical appropriateness. This paper introduces an innovative mental health support system that integrates BERT‐based emotional distress detection with a psychological first aid (PFA)‐generative pre‐trained transformer (PFA‐GPT) model, providing an emotion‐aware PFA chatbot. The methodology leverages deep learning models, utilising bidirectional encoder representations from transformers (BERT) for emotional distress detection and fine‐tuning GPT‐3.5 on therapy transcripts for PFA chatbot development. The findings demonstrate BERT's superior accuracy (93%) for emotional distress detection compared to bidirectional long short‐term memory. The multilingual PFA chatbot developed using the PFA‐GPT model demonstrated superior BERT scores (exceeding 83%) and proficiently provided ethical PFA. A proof of concept has been developed to illustrate the integration of the emotional distress detection model with the novel generative conversational agent for PFA. This integrated approach holds significant potential in overcoming existing barriers to mental health support and has the potential to transform mental health support, offering timely and accessible care through AI‐powered psychological interventions.
An integrative survey on Indian sign language recognition and translation
Authors: Damdoo Rina , Kumar Praveen 
Published: January 2025

AbstractHard of hearing (HoH) people commonly use sign languages (SLs) to communicate. They face major impediments in communicating with hearing individuals, mostly because hearing people are unaware of SLs. Therefore, it is important to promote tools that enable communication between users of sign language and users of spoken languages. The study of sign language recognition and translation (SLRT) is a step forward in this direction, as it tries to create a spoken‐language translation of a sign‐language video or vice versa. This study aims to survey the Indian sign language (ISL) interpretation literature and gives pertinent information about ISL recognition and translation (ISLRT). It provides an overview of recent advances in ISLRT, including the use of machine learning based, deep learning based, and gesture‐based techniques. This work also summarizes the development of ISL datasets and dictionaries. It highlights the gaps in the literature and provides recommendations for future research opportunities for ISLRT development.
A federal learning and PointCNN‐based approach to substation site safety control
Authors: Shi Peijie , Zhao Jining , Meng Rong , Zhao Zhilong 
Published: January 2025

AbstractAiming at the problem of low detection accuracy due to insufficient feature extraction of point cloud information in the 3D scene of substation by the existing methods, this article proposes a safety control method based on joint learning and PointCNN for the substation site. First, voxel filtering and statistical filtering methods are used to appropriately simplify the point cloud data, and the point cloud is smoothed using the moving least squares method. Second, the PointCNN's substation site safety control model is designed under the federal learning (FL) framework, and in the first stage, the cross self‐attention module (CSA) is introduced, as well as the point cloud features are extracted by the CSA module to help the model in the encoding process, and the point cloud features are extracted using the PointCNN by extracting the semantic features of each point, performing the prospective point separation and extracting the pre‐selected frames. In the second stage, features are extracted from each candidate box by point cloud region pooling operation, and the global semantic features obtained in the first stage are used for feature fusion in combination with other relevant point features in the enveloping box (local spatial point features, Li‐DAR distance‐depth information, laser reflection intensity etc.), and the classification header and regression header are used for the optimization of the 3D enveloping box and the prediction of the confidence level. Finally, the experiments demonstrate that the proposed method has the highest accuracy in the case of relatively low running time, and the APs for the medium difficulty scenario targeting pedestrians, transformers, bushings, and GIS equipment are 63.98%, 85.29%, 57.11%, and 69.23%, respectively. Therefore, the proposed method can effectively improve the safety control ability at substation sites.
Versorgung von Sakruminsuffizienzfrakturen
Authors: Schnake Klaus John , Scheyerer Max Josef , Ullrich Bernhard , Spiegl Ulrich Josef Albert 
Published: January 2025

ZusammenfassungSakruminsuffizienzfrakturen zeigen eine kontinuierlich ansteigende Inzidenz. Ihre
Behandlung ist in der Mehrzahl der Fälle konservativ, jedoch können anhaltende Schmerzen und
Mobilitätseinschränkungen eine Indikation zur Operation darstellen. Mit Hilfe der OF-Pelvis
Klassifikation lassen sich die Frakturen relativ einfach nach ihrem Schweregrad einteilen. Der
OF-Pelvis Score dient zur Therapieentscheidung und kann auch zur Verlaufsbeobachtung
eingesetzt werden. Die chirurgische Therapie ist regelhaft minimal-invasiv und reicht von der
Sakroplastie, über iliosakrale Verschraubungen bis hin zur lumbopelvinen Stabilisation.