bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal Association of Statin Treatment With Insulin Sensitivity and Beta-Cell Function in the PROMISE Cohort
Authors: Lai Kira Zhi Hua , Harris Stewart B , Retnakaran Ravi , Hanley Anthony J G , Schwarz Ute I 
Published: January 2025

Abstract

Context
Statin treatment lowers low-density lipoprotein (LDL) cholesterol, thereby reducing cardiovascular risk. Meta-analyses of clinical trials report a higher risk of new-onset type 2 diabetes with statins. Current clinical evidence regarding effects of statins on insulin sensitivity and beta-cell function is limited.

Objective
We examined the effects of statin treatment on longitudinal changes in early-risk phenotypes for type 2 diabetes.

Methods
The PROMISE cohort is a longitudinal study of adults at risk for type 2 diabetes. Data from baseline and 3 follow-up visits over 9 years were used to estimate insulin sensitivity (insulin sensitivity index, homeostatic model assessment for insulin sensitivity) and beta-cell function (insulinogenic index/homeostatic model assessment for insulin resistance, insulin secretion sensitivity index-2). Statin use was self-reported. Associations of statins with changes in metabolic markers were determined through generalized estimating equations.

Results
Over 9 years, 169 of 498 participants (aged 50 years, 74% female) received a statin, predominantly rosuvastatin and atorvastatin. Compared to those with no statin treatment, statin users had lower insulin sensitivity (5.32%-6.36%) and beta-cell function (4.93%-7.59%) (P &lt; .001), adjusting for metabolic risk factors. Rosuvastatin was associated with decreased insulin sensitivity and beta-cell function, while atorvastatin showed moderate inverse association with beta-cell function and insulin sensitivity. In female participants, statins reduced insulin sensitivity and beta-cell function, while in male participants only beta-cell function was altered.

Conclusion
Statin treatment was associated with lowered insulin sensitivity and beta-cell function with potential differential effects among statin agents and the sexes.
Michael Attaleiates’ Ἀλβανοὶ and Λατῖνοι: the southern Italian rebels and the changing perception of the Normans in Byzantium
Authors: WELTE BERNARDO Guilherme 
Published: January 2025

Michael Attaleiates’ Ἀλβανοὶ and Λατῖνοι: the southern Italian rebels and the changing perception of the Normans in Byzantium

This article revises the current interpretation regarding who were the Ἀλβανοὶ (Albans) and Λατῖνοι (Latins) mentioned in Michael Attaleiates’ History, written in the 11th century. While previous scholars identified these groups as Albanians and Normans, the article argues that Attaleiates uses both terms to generically drew a parallel between ancient groups appearing in Greco-Roman historiography and contemporary groups in the southern Italy during his time, like the Lombards. It also suggests that Normans (the "Franks from Italy") are sometimes referred to as Λατῖνοι in the work, particularly due to their association with the Lombard population of southern Italy, where they settled. For a more in-depth analysis, the article identifies two different contexts in which the term Λατῖνοι was used by Attaleiates: the first in association with the Ἀλβανοί (i. e., the Lombards), and the second in parallel with the Φράγγοι (Franks, i.e., the Normans). Through these reexaminations, the article provides new insights into the complex relationships between the medieval Roman Empire and its neighbors in the Italian Peninsula.
Psilocybin-assisted massed cognitive processing therapy for chronic posttraumatic stress disorder: Protocol for an open-label pilot feasibility trial
Authors: Meshkat Shakila , J. Zeifman Richard , Stewart Kathleen , Janssen-Aguilar Reinhard , Lou Wendy , Jetly Rakesh , Monson Candice M. , Bhat Venkat 
Published: January 2025

Background
Posttraumatic stress disorder (PTSD) affects 3.9% of the general population. While massed cognitive processing therapy (CPT) has demonstrated efficacy in treating chronic PTSD, a substantial proportion of patients still continue to meet PTSD criteria after treatment, highlighting the need for novel therapeutic approaches. Preliminary evidence supports the potential therapeutic action of psilocybin to alleviate PTSD symptoms. This open-label pilot study aims to evaluate the feasibility, tolerability, and preliminary efficacy of a single dose 25 mg psilocybin in combination with one week of massed CPT in patients with chronic PTSD.

Method
Fifteen participants with chronic PTSD will undergo 12 CPT sessions, two psilocybin-related psychotherapy sessions, and one psilocybin dosing session over a 7-days period. The primary outcomes are feasibility and tolerability, which will be measured by recruitment rates, withdrawal, data completion, adherence, number and nature of adverse events. Secondary objectives include assessing the preliminary efficacy of psilocybin-assisted CPT in reducing PTSD severity, self-reported treatment outcomes and exploring putative mechanisms of change. Participants will be monitored weekly for 12 weeks post-treatment and passive data relevant to mental health and well-being will be collected using a wearable device.

Discussion
This trial will generate important preliminary data on the use of psilocybin-assisted CPT for treating PTSD. The findings will guide the design of a multi-site, large-scale randomized control trial to more rigorously assess the efficacy of this intervention. De-identified data from this study will be available upon request after publication of the results. This study represents a promising and innovative approach to PTSD treatment, potentially offering an alternative therapeutic option for individuals unresponsive to conventional therapies.

Trial registration
ClinicalTrials.gov NCT06386003.
Intersection between individual, household, environmental and system level factors in defining risk and resilience for children in Kenya’s ASAL: A qualitative study
Authors: Chongwo Esther Jebor , Aoko Barack , Kaniala Martha , Esala Moses , Magoma Phillis , Njoroge Eunice , Nyamanya Susan , Marangu Joyce , Khamis Anil , Ng’asike John , Huizink Anja C. , Abubakar Amina 
Published: January 2025

Introduction
Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges. However, there is limited comprehensive data on sources of risks and resilience in these children, particularly research that incorporates community perspectives and indigenous knowledge. Systematic documentation of factors influencing child outcomes is crucial for understanding the overall burden, informing policy and implementing targeted interventions. This study aimed at bridging this gap.

Methods
The study was conducted in 10 ASAL counties in Kenya. Purposive and snowballing techniques were used to recruit 11 key informants per site with varied levels of involvement in early childhood development and primary caregivers. Using a semi-structured interview guide, 103 telephonic interviews were conducted between June and August 2022, involving 68 key informants and 35 caregivers. Thematic approach was used to analyze the data, using NVIVO software.

Results
The mean age of the participants was 44years (SD = 11 years). The findings, viewed through the lens of Bronfenbrenner’s ecological systems theory, reveal a complex interplay of contextual factors impacting children’s development. These factors range from individual and biological aspects to family, community, systemic, and environmental level, including climatic challenges. Identified risk factors encompassed issues such as young caregiver’s age, low literacy, mental health issues, drug abuse, domestic violence, malnutrition, poverty, lack of paternal involvement, early marriages, female genital mutilation, drought, heat stress, and insecurity. Nonetheless, sources of resilience include breastfeeding, immunization, responsive caregiving, family and community support, higher socio-economic status (SES), cultural practices, self-motivation, hard work, community role models, religious activities and quality service provision.

Conclusion
Urgent attention is needed to address the multifaceted challenges faced by children in ASAL regions. The study underscores the importance of addressing the root causes of risks while harnessing community strengths and resources to safeguard and promote the holistic development of these children.
Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas
Authors: Sato Masaya , Tateishi Ryosuke , Zohar Yogev , Sato Jiro , Watadani Takeyuki , Moriyama Makoto , Wake Taijiro , Nakagomi Ryo , Kinoshita Mizuki Nishibatake , Nakatsuka Takuma , Minami Tatsuya , Uchino Koji , Enooku Kenichiro , Nakagawa Hayato , Asaoka Yoshinari , Yamada Ryo , Even Nitzan , Amitai Inbal , Abu Yossi , Fujishiro Mitsuhiro , Koike Kazuhiko 
Published: January 2025

Objective
This study aimed to introduce and evaluate a novel software-based system, BioTrace, designed for real-time monitoring of thermal ablation tissue damage during image-guided radiofrequency ablation for hepatocellular carcinoma (HCC).

Methods
BioTrace utilizes a proprietary algorithm to analyze the temporo-spatial behavior of thermal gas bubble activity during ablation, as seen in conventional B-mode ultrasound imaging. Its predictive accuracy was assessed by comparing the ablation zones it predicted with those annotated by radiologists using contrast-enhanced computed tomography (CECT) 24 hours post-treatment, considered the gold standard. The study included 20 liver tumors.

Results
The median tumor measurement along the major axis was 1.2 cm. The median Dice coefficient, Sensitivity, and Precision between BioTrace and CECT were 0.90, 0.91, and 0.91, respectively. The intraclass correlation showed excellent agreement in volume size between BioTrace and CECT findings (0.98).

Conclusion
BioTrace effectively generates an ablation damage prediction map based on real-time ultrasound imaging, accurately predicting the ablation zone as confirmed by 24-hour post-procedural CECT. This system has the potential to enhance the safety and efficacy of ablation procedures in clinical settings.
Comparison of the effectiveness of nurse-led preoperative counseling and postoperative follow-up care vs standard care for patients with gastric cancer
Authors: Wang Wenwen , Zhu Yan , Sun Yu , Li Yandong 
Published: January 2025

Abstract

Background
Radical gastrectomy is generally prefered for gastric cancer but has postoperative complications. The objectives of the study are to evaluate the effectiveness of three different models of preoperative counseling and postoperative follow-up care in patients who underwent radical gastrectomy for gastric cancer.

Methods
In retrospective medical record analyses, patients received nurse-led preoperative counseling and postoperative follow-up care (NC cohort, n = 105) or surgeon-led preoperative counseling and surgeon-led follow-up (SC cohort, n = 140), or did not receive counseling and aftercare (RC cohort, n = 160).

Results
Patients had a postoperative intensive care unit (PICU) stay of 24 (26–22) h/patient and postoperative pain of 6 (6–5)/ patient. The frequencies of nausea, vomiting, medical intensive care unit admission(s), dizziness, length of PICU stay, and intensity of postoperative pain were lower among patients in the NC cohort, followed by those in the SC and RC cohorts. A higher number of patients in the RC cohort died when compared to the NC (25 [16%) vs 2 [2%], p = 0.0458) and the SC (25 [16%] vs 11 [8%], p = 0.0001) cohorts in follow-up.

Conclusion
Patients who undergo radical gastrectomy for gastric cancer require healthcare professional-led preoperative counseling and postoperative aftercare. Nurse-led preoperative counseling and postoperative aftercare, could improve outcome measures in patients who underwent radical gastrectomy for gastric cancer.
Mamíferos de La Chiripa, Zona Protectora El Chayote, Costa Rica
Authors: Elizondo Retana Mario , Cartín-Núñez Melvin 
Published: January 2025

Introducción: la finca La Chiripa forma parte de la Zona Protectora el Chayote (ZPC) ubicada en la región central de Costa Rica. En el lugar predominan las zonas de vida: bosque muy húmedo montano bajo y bosque pluvial montano bajo. Además, limita con el corredor biológico Paso de las Nubes, donde se ubican otras áreas silvestres protegidas con alta riqueza biológica como lo son: Parque Nacional Juan Castro Blanco, el Parque Nacional Volcán Poás, la Zona Protectora Río Toro y la Reserva Biológica Alberto Manuel Brenes. A pesar de esta condición, en la zona no existen estudios científicos respalden su importancia. Objetivo: inventariar las especies de mamíferos silvestres de talla mediana o grande (≥500 g), residentes en la Finca Municipal la Chiripa, ubicada en la Zona Protectora el Chayote. Materiales y métodos: Se hicieron recorridos semanales a pie por diferentes transectos dentro del área de estudio y se colocaron 3 cámaras trampa marca Bestok ® de 12 megapíxeles de alta definición durante un período de 5 meses en lugares donde se observó indicios el paso de mamíferos silvestres. Resultados: Se registraron 13 especies de mamíferos pertenecientes a 9 familias diferentes, donde se incluyen especies en peligro de extinción incluyendo: el manigordo (Leopardus pardalis), el caucel (Leopardus wiedii), el puma (Puma concolor) y el yaguarundi (Puma yagouaroundi). También se logró evidenciar el aumento de actividades invasivas como el ingreso de motocicletas en el área silvestre protegida, lo cual repercutió en la disminución de avistamientos en el sitio, además del deterioro grave causado en los senderos de la finca a causa de esta actividad ilegal.
Impact of in situ gamma irradiation simulates on UO2: Set-up flow-through corrosion experiments
Authors: Rodríguez-Villagra Nieves , Bonales Laura J. , Cobos Joaquín , Galán Hitos 
Published: January 2025

Abstract
To assess the effect of external γ-radiation on the dissolution of the spent UO2 fuel matrix, dynamic dissolution experiments were performed with UO2 pellets using well-controlled flow-through reactor at different low flowrates under oxic conditions. Firstly, the setup was validated without radiation at different leachant compositions (I = 0.02 mol·L−1 of ionic strength and pH from 5.4 to 12.2), flowrates (from ~ 4.5 mL·d−1 to 120 mL·d−1), and residence times (11.3–383 h) at room conditions. A good agreement of data trends (U concentration vs flowrates) is obtained. The results show the impact of the flowrates and carbonates on the dissolution rate of U, i.e., the concentration of dissolved U(VI) increased with increasing [HCO3
−]. For the experiment under external γ-radiation (0.014 kGy·h−1) with UO2 in 20-mmol·L−1 NaClO4, the presence of studtite was confirmed and consistent with the measured H2O2 concentrations (~ 10–5 mol L−1).

Graphical abstract
TOPIC MODELING DOKUMEN SKRIPSI PRODI PENDIDIKAN TEKNIK INFORMATIKA DAN KOMPUTER UNIVERSITAS NEGERI JAKARTA MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION
Authors: Eki Nugraha  , Widodo  , Murien Nugraheni  
Published: January 2025

Skripsi atau tugas akhir menjadi suatu syarat untuk memperoleh gelar Sarjana Strata-1 di perguruan tinggi di Indonesia. Pada program studi Pendidikan Teknik Informatika dan Komputer Universitas Negeri Jakarta mahasiswa mengambil judul dan tema skripsi yang beragam, tidak semua tema skripsi yang dibuat sesuai dengan konsentrasi jurusan masing-masing. Dengan semakin bervariasinya dokumen skripsi maka dilakukan pemodelan topik skripsi dengan menggunakan metode Latent Dirichlet Allocation untuk mengetahui komposisi topik skripsi yang dapat digunakan sebagai referensi pada penelitian selanjutnya. Bahan penelitian yang digunakan berasal dari repository admin Prodi Pendidikan Teknik Informatika dan Komputer Universitas Negeri Jakarta berupa softcopy tahun lulus 2017-2022 sebanyak 329 dokumen skripsi. Dokumen skripsi diproses melalui beberapa tahapan yaitu pre-processing yang terdiri dari case folding, stopwords,lemmatization, stemming, setelah itu dilakukan pemodelan LDA dengan menggunakan library Gensim, pembobotan kata dengan TF-IDF, pengujian topik menggunakan coherence score dan perplexity. Sehingga didapatkan 10 topik yang sering dibahas yaitu topik ke-1 mengenai Pengembangan media pembelajaran sebanyak 50 dokumen, topik ke-2 Evaluasi pembelajaran sebanyak 42 dokumen, topik ke-3 Pengembangan System informasi berbasis website sebanyak 42 dokumen, topik ke-4 Teknik komputer dan jaringan sebanyak 36 dokumen, topik ke-5 Pengembangan System informasi Universitas Negeri Jakarta berbasis website menggunakan user interface, user experience ,& backend sebanyak 36 dokumen, topik ke-6 Pengembangan dan evaluasi media pembelajaran e-learning menggunakan algoritma sebanyak 34 dokumen, topik ke-7 data mining sebanyak 28 dokumen, topik ke-8 System requirement pengembangan perangkat lunak sebanyak 26 dokumen, topik ke-9 Standar pencapaian sumber daya Pendidikan sebanyak 14 dokumen, topik ke-10 Evaluasi pengembangan website, multimedia dan jaringan sebanyak 21 dokumen. Pengujian menggunakan coherence score menghasilkan 0.2614 dan perplexity -5.9895.
Cofactor-independent, photoenzymatic, reductions with water mediated by rGQDs
Authors: Sheldon Roger , Qiao Li , Li Xiaoyu , Jiang Yongjian , Wang Zhiguo , Ye Wei , Wang Anming , Gao Peng 
Published: January 2025

Abstract

Enzymatic reductions catalyzed by reductases, such as aldo/ketoreductases (AKRs), imine reductases, and ene reductases generally depend on the regeneration of nicotinamide cofactors for industrial viability. This usually involves the addition of a cosubstrate and a second enzyme, a dehydrogenase, e.g. glucose / glucose dehydrogenase. For commercial viability it would be more interesting to use water as the sacrificial cosubstrate to supply the necessary hydrogen atoms. This is possible using photocatalytic methods involving precious metal, e.g. Rh and Ru, complexes as electron mediators. A problem associated with photobiocatalysis in general is the weak penetration of ultraviolet or visible light in biological systems. Here we report the unprecedented use of near infrared (NIR) light in combination with a hybrid photoenzyme based on IR responsive reductive graphene quantum dots (rGQDs) that are non-toxic to AKRs. We envisaged that immobilization of the AKR in close proximity to the rGQDs could enable the direct transfer of hydrogen atoms from water to the prochiral ketone substrate without requiring a nicotinamide cofactor. To test this hypothesis, we immobilized rGQDs on the surface of the cross-linked AKR. The resulting rGQD/AKR hybrid photobiocatalyst mediated the synthesis of the pharmaceutical intermediate, (R)-1-[3,5-bis(trifluoromethyl)-phenyl] ethanol ((R)-3,5-BTPE) from the corresponding prochiral ketone, in 82% yield and > 99.99% ee under a 50 mW·cm− 2 IR illumination. This work opens new avenues to create artificial photoenzymes that simplify in vitro biocatalysis and enable the coupling of renewable solar energy and sustainable chemical production. Since infrared light accounts for about half of the energy in the entire solar spectrum its efficient utilization is crucial for sustainable applications of sunlight. We have demonstrated that our hybrid photobiocatalyst can effectively utilize infrared light to catalyze the enzymatic reduction of a prochiral ketone. Since these hybrid photobiocatalysts are insoluble solids they can be readily recovered, recycled and potentially employed in continuous flow operation.
A physics informed neural network approach to quantify antigen presentation activities at single cell level using omics data
Authors: Zhang Chi , Wang Jia , Dang Pengtao , Wei Yuhui , Wang Xiao , Brothwell Julie , Sun Yifan , Zhu Haiqi , So Kaman , Liu Jing , Wang Yijie , Lu Xiongbin , Spinola Stanley , Zhang Xinna , Cao Sha 
Published: January 2025

Abstract

Antigen processing and presentation via major histocompatibility complex (MHC) molecules are central to immune surveillance. Yet, quantifying the dynamic activity of MHC class I and II antigen presentation remains a critical challenge, particularly in diseases like cancer, infection and autoimmunity where these pathways are often disrupted. Current methods fall short in providing precise, sample-specific insights into antigen presentation, limiting our understanding of immune evasion and therapeutic responses. Here, we present PSAA (PINN-empowered Systems Biology Analysis of Antigen Presentation Activity), which is designed to estimate sample-wise MHC class I and class II antigen presentation activity using bulk, single-cell, and spatially resolved transcriptomics or proteomics data. By reconstructing MHC pathways and employing pathway flux estimation, PSAA offers a detailed, stepwise quantification of MHC pathway activity, enabling predictions of gene-specific impacts and their downstream effects on immune interactions. Benchmarked across diverse omics datasets and experimental validations, PSAA demonstrates a robust prediction accuracy and utility across various disease contexts. In conclusion, PSAA and its downstream functions provide a comprehensive framework for analyzing the dynamics of MHC antigen presentation using omics data. By linking antigen presentation to immune cell activity and clinical outcomes, PSAA both elucidates key mechanisms driving disease progression and uncovers potential therapeutic targets.
A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images
Authors: Quesne John Le , Seyedshahi Farzaneh , Rakovic Kai , Poulain Nicolas , Quiros Adalberto Claudio , Powley Ian , Richards Cathy , Uraiby Hussein , Klebe Sonja , Nakas Apostolos , Wilson Claire , Sereno Marco , Officer-Jones Leah , Ficken Catherine , Teodosio Ana , Ballantyne Fiona , Murphy Daniel , Yuan Ke 
Published: January 2025

Abstract

Mesothelioma is a highly lethal and poorly biologically understood disease which presents diagnostic challenges due to its morphological complexity. This study uses self-supervised AI (Artificial Intelligence) to map the histomorphological landscape of the disease. The resulting atlas consists of recurrent patterns identified from 3446 Hematoxylin and Eosin (H&E) stained images scanned from resected tumour slides. These patterns generate highly interpretable predictions, achieving state-of-the-art performance with 0.65 concordance index (c-index) for outcomes and 85% AUC in subtyping. Their clinical relevance is endorsed by comprehensive human pathological assessment. Furthermore, we characterise the molecular underpinnings of these diverse, meaningful, predictive patterns. Our approach both improves diagnosis and deepens our understanding of mesothelioma biology, highlighting the power of this self-learning method in clinical applications and scientific discovery.