bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vulnerability of Spatial Pattern Separation in 5xFAD Alzheimer’s Disease Mouse Model
Authors: Gephine Lucas , Roux Candice M. , Freret Thomas , Boulouard Michel , Leger Marianne 
Published: February 2024

Background: Alzheimer’s disease (AD) is the most common cause of dementia and remains incurable. This age-related neurodegenerative disease is characterized by an early decline in episodic and spatial memory associated with progressive disruption of the hippocampal functioning. Recent clinical evidence suggests that impairment of the spatial pattern separation (SPS) function, which enables the encoding and storage of episodic spatial information, may be an indicator of the early stages of AD. Objective: The aim of our study was to characterize SPS performance at a prodromal stage in 5xFAD transgenic mouse model of AD. Methods: Behavioral performance of male wild-type (WT) and 5xFAD mice ( n = 14 per group) was assessed from the age of 4 months in two validated paradigms of SPS function either based on spontaneous exploration of objects or on the use of a touchscreen system. Results: Compared with age-matched WT littermates, a mild deficit in SPS function was observed in the object recognition task in 5xFAD mice, whereas both groups showed similar performance in the touchscreen-based task. These results were observed in the absence of changes in locomotor activity or anxiety-like behavior that could have interfered with the tasks assessing SPS function. Conclusions: Our results indicate an early vulnerability of the SPS function in 5xFAD mice in the paradigm based on spontaneous exploration of objects. Our work opens up the possibility of examining the early neurobiological processes involved in the decline of episodic memory and may help to propose new therapeutic strategies in the context of AD.
A dense and U-shaped transformer with dual-domain multi-loss function for sparse-view CT reconstruction
Authors: Liu Peng , Fang Chenyun , Qiao Zhiwei 
Published: February 2024

OBJECTIVE: CT image reconstruction from sparse-view projections is an important imaging configuration for low-dose CT, as it can reduce radiation dose. However, the CT images reconstructed from sparse-view projections by traditional analytic algorithms suffer from severe sparse artifacts. Therefore, it is of great value to develop advanced methods to suppress these artifacts. In this work, we aim to use a deep learning (DL)-based method to suppress sparse artifacts. METHODS: Inspired by the good performance of DenseNet and Transformer architecture in computer vision tasks, we propose a Dense U-shaped Transformer (D-U-Transformer) to suppress sparse artifacts. This architecture exploits the advantages of densely connected convolutions in capturing local context and Transformer in modelling long-range dependencies, and applies channel attention to fusion features. Moreover, we design a dual-domain multi-loss function with learned weights for the optimization of the model to further improve image quality. RESULTS: Experimental results of our proposed D-U-Transformer yield performance improvements on the well-known Mayo Clinic LDCT dataset over several representative DL-based models in terms of artifact suppression and image feature preservation. Extensive internal ablation experiments demonstrate the effectiveness of the components in the proposed model for sparse-view computed tomography (SVCT) reconstruction. SIGNIFICANCE: The proposed method can effectively suppress sparse artifacts and achieve high-precision SVCT reconstruction, thus promoting clinical CT scanning towards low-dose radiation and high-quality imaging. The findings of this work can be applied to denoising and artifact removal tasks in CT and other medical images.
Penguatan Petani Aren Melalui Penerapan Business Model Canvas di Desa Alu Polewali Mandar
Authors: Wijayanti Andi Ridha Yayank , Idris Andi Irmayanti , Ramli Muhammad Agusfartham , Arafat Andi 
Published: February 2024

Aren merupakan salah satu tanaman yang sangat potensial untuk dikembangkan. Di Desa Alu Polewali Mandar, salah satu pemanfaatan dari hasil aren yang banyak diusahakan petani adalah pembuatan gula merah. Sampai saat ini gula merah yang dihasilkan hanya dijual ke pengumpul atau dijual langsung pada pasar tradisional. Pengabdian ini bertujuan untuk pengutan kapasitas petani melalui pelatihan Business Model Canvas melaui sembilan elemen kunci yang akan memberikan gambaran dan pandangan strategis kepada petani aren, membantu mereka mengidentifikasi sumberdaya apa saja yang dibutuhkan, serta melihat peluang dan risiko yang mungkin ditimbulkan. Metode pelaksanaan dalam kegiatan ini yaitu observasi permasalahan mitra melalui FGD, perencanaan dan persiapan, dan pelaksanaan kegiatan berupa pelatihan. Berdasarkan hasil pengabdian yang dilakukan melalui pendekatan Business Model Canvas dapat diidentifikasi terkait peningkatan usaha, diversifikasi produk dan perluasan pasar. Terkait pelaksanaan pengabdian petani sangat antusias dan berharap Business Model Canvas yang dibuat dapat digunakan menjadi landasan untuk merancang dan mengembangkan usaha gula aren mereka.
Factors that Influence the Caring Behavior of Nurses in Nursing Practice at the Hospital. Dr. MM Dunda Limboto
Authors: B. Syukur Sabirin , Yunus Pipin , Rajib Kasim Vidrian 
Published: February 2024

Caring behavior can be shown in interpersonal relationships, namely relationships that occur between nurses and patients, where nurses show caring perception behavior through attention, interventions to maintain patient health, and positive energy given to patients. Nurses' caring behavior has started to be good, but there are still some nurses whose caring behavior is bad The purpose of this study is to analyze the factors that influence nurses' caring behavior in nursing practice at the hospital. Dr. MM Dunda Limboto. The design of this study is an Analytical Observational study with a cross-sectional approach. This research was carried out at RSUD. Dr.MM Dunda Limboto. The number of samples was 39 people. The results of the chi-square analysis test research obtained a p-value of < α 0.00, so it can be concluded that there is a relationship between knowledge to nursing caring behavior, and there is a workload relationship to nurse caring behavior There is, there is an environmental relationship to nurse caring behavior. The existence of this research is expected to increase and increase nurses' awareness of caring behavior so that health services can be carried out effectively. It is recommended that this study be a reference for improving caring services for nurses and other health workers
Memory Preservation in Cambodian Graphic Narratives
Authors: Hardman Anneliese 
Published: February 2024

Since the Cambodian genocide (1975-79), first-and-second generation survivors have developed new ways of processing personal and national trauma, including through the mode of graphic arts. This paper first extrapolates how graphic narratives differ from comics and cartoons. Then the graphic narrative’s role in assisting genocide survivors will be examined. In this section, the works of graphic artists, Ing Phoussera, Aki Rai, and Vath Nath, will be specifically looked at in relation to Franz Stanzel’s idea of ‘reflector narratives’ and Mieke Bal’s definition of ‘focalization.’ The paper will also focus on how graphic narratives have become a mode for second-generation survivors to engage with the past through Bui Long’s ‘refugee repertoire’ and Marianne Hirsch’s concept of ‘postmemory.’ Within this section, Tian Veasna’s Year of the Rabbit’s will be analyzed. Aspects considered include illustration, dialogue, and layered content. Finally, this paper will look at how graphic narratives contribute to the concept of the memory archive and “memory citizenship” within Cambodia. Specific questions that prompt my research include: What is a graphic narrative? Can graphic narratives be sources of memoir and postmemory? How do graphic narratives function as a tool for remembering and working through trauma for artists and readers?
Characterization and spatiotemporal variations of ambient seismic noise in eastern Bangladesh
Authors: Bin Abdul Rahman Syed Idros , Lythgoe Karen , Muktadir Md. Golam , Akhter Syed Humayun , Hubbard Judith 
Published: February 2024

This study analyses the ambient noise field recorded by the seismic network, TREMBLE, in Bangladesh, operational since late 2016. Horizontal-vertical spectral ratios confirm the placement of stations on sediment, many situated on thick sedimentary columns, consistent with local geology. Noise across the broadband spectrum is systematically examined. A high amplitude local microseism (0.4–0.8 Hz) is recorded, originating near the coast and modulated by local tides. The secondary microseism (0.15–0.35 Hz) correlates strongly with wave height in the Bay of Bengal and varies with seasons, with greater power and higher horizontal amplitude in the monsoon season when the wave height is highest. The microseism increases in amplitude and decreases in frequency as a tropical depression moves inland. The primary microseism (∼0.07–0.08 Hz) exhibits no seasonal changes in power but display strong horizontal energy which changes with seasons. Low frequency (0.02–0.04 Hz) noise on the horizontal components has a 24-h periodicity, due to instrument tilt caused by atmospheric pressure changes. A station located next to the major Karnaphuli River shows elevated energy at ∼5 Hz correlated to periods of high rainfall. Anthropogenic noise (∼4–14 Hz) is station-dependent, demonstrating changing patterns in human activity, such as during Ramadan, national holidays and the COVID pandemic. Our work holds implications for seismic deployments, earthquake, and imaging studies, while providing insights into the interaction between the atmosphere, ocean, and solid Earth.
U-Shaped relationship of insulin-like growth factor I and incidence of nonalcoholic fatty liver in patients with pituitary neuroendocrine tumors: a cohort study
Authors: Hu Yan , Yuan Chen , Abdulnaimu Muila , Memetmin Jimilanmu , Jie Zhang , Tuhuti Aihemaitijiang , Abudueini Hanikzi , Guo Yanying 
Published: February 2024

ContextAlthough the role of insulin-like growth factor I (IGF-1) in nonalcoholic fatty liver disease (NAFLD) has garnered attention in recent years, few studies have examined both reduced and elevated levels of IGF-1.ObjectiveThe aim of this study was to examine the potential relationship between IGF-1 levels and the risk of new-onset NAFLD in patients with pituitary neuroendocrine tumors (PitNET).MethodsWe employed multivariable Cox regression models and two-piecewise regression models to assess the association between IGF-1 and new-onset NAFLD. Hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs) were calculated to quantify this association. Furthermore, a dose-response correlation between lgIGF-1 and the development of NAFLD was plotted. Additionally, we also performed subgroup analysis and a series sensitivity analysis.ResultsA total of 3,291 PitNET patients were enrolled in the present study, and the median duration of follow-up was 65 months. Patients with either reduced or elevated levels of IGF-1 at baseline were found to be at a higher risk of NAFLD compared to PitNET patients with normal IGF-1(log-rank test, P &lt; 0.001). In the adjusted Cox regression analysis model (model IV), compared with participants with normal IGF-1, the HRs of those with elevated and reduced IGF-1 were 2.33 (95% CI 1.75, 3.11) and 2.2 (95% CI 1.78, 2.7). Furthermore, in non-adjusted or adjusted models, our study revealed a U-shaped relationship between lgIGF-1 and the risk of NAFLD. Moreover, the results from subgroup and sensitivity analyses were consistent with the main results.ConclusionsThere was a U-shaped trend between IGF-1 and new-onset NAFLD in patients with PitNET. Further evaluation of our discoveries is warranted.
New-onset metabolic syndrome is associated with accelerated renal function decline partially through elevated uric acid: an epidemiological cohort study
Authors: Xu Qiuyu , Fan Xiaohong , Chen Gang , Ma Jie , Ye Wenling , Ai Sanxi , Wang Li , Zheng Ke , Qin Yan , Chen Limeng , Li Mingxi , Li Xuemei 
Published: February 2024

BackgroundThe burden of metabolic syndrome (MetS) continues to rise globally and is associated with complications of multiple organ systems. We aimed to identify the association between changes in MetS status and accelerated renal function progression through a regional epidemiological survey in China, thus discovering influence factors with treatable potential.MethodsThis study was a population-based survey conducted in 2008 and 2014, assessing a representative sample of 5,225 individuals from rural areas of China. They were divided into four subgroups according to their MetS status in 2008 and 2014 (Never, Previously abnormal, New-onset, and Consistent). Multivariate logistic regression and stratification analysis evaluated the relationship between clinical factors and renal function decline under different MetS statuses. Smooth curve fitting further addressed the role of serum uric acid, illustrating the vital turning point of uric acid levels in the background of renal function deterioration.ResultsOf all groups of MetS states, the new-onset MetS showed the most significant eGFR decline, with a 6.66 ± 8.21 mL/min/1.73 m2 decrease over 6 years. The population with newly-onset MetS showed a considerable risk increase in delta eGFR with a beta coefficient of 1.66 (95%CI=1.09-2.23) after necessary correction. In searching for the drivers, the strength of the association was significantly reduced after additional adjustment for uric acid levels (β=0.91, 95%CI=0.35-1.45). Regarding the turning point, uric acid levels exceeding 426 μmol/L were more significantly associated with the stepped-up deterioration of kidney function for those with new-onset MetS.ConclusionMetabolic syndrome demonstrated a solid correlation with the progression of renal function, particularly in those with newly-onset MetS status. In addition to the diagnostic components of MetS, hyperuricemia could be used as a marker to identify the high risk of accelerating eGFR decline early. Furthermore, we suggested a potential renal benefit for the newly-onset MetS population when maintaining their serum uric acid level below the criteria for asymptomatic hyperuricemia.
deepPGSegNet: MRI-based pituitary gland segmentation using deep learning
Authors: Choi Uk-Su , Sung Yul-Wan , Ogawa Seiji 
Published: February 2024

IntroductionIn clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a pivotal role, which impacts the diagnosis and treatment of conditions such as endocrine dysfunctions and visual impairments. Manual segmentation, which is the traditional method, is tedious and susceptible to inter-observer differences. Thus, this study introduces an automated solution, utilizing deep learning, for PG segmentation from magnetic resonance imaging (MRI).MethodsA total of 153 university students were enrolled, and their MRI images were used to build a training dataset and ground truth data through manual segmentation of the PGs. A model was trained employing data augmentation and a three-dimensional U-Net architecture with a five-fold cross-validation. A predefined field of view was applied to highlight the PG region to optimize memory usage. The model’s performance was tested on an independent dataset. The model’s performance was tested on an independent dataset for evaluating accuracy, precision, recall, and an F1 score.Results and discussionThe model achieved a training accuracy, precision, recall, and an F1 score of 92.7%, 0.87, 0.91, and 0.89, respectively. Moreover, the study explored the relationship between PG morphology and age using the model. The results indicated a significant association between PG volume and midsagittal area with age. These findings suggest that a precise volumetric PG analysis through an automated segmentation can greatly enhance diagnostic accuracy and surveillance of pituitary disorders.
A novel NLRP3 inhibitor as a therapeutic agent against monosodium urate-induced gout
Authors: Park Kihyoun , Shin Injae , Kim Yoonseon , Kang Hyereen , Oh Soo-Jin , Jang Eunkyeong , Sim Taebo , Youn Jeehee , Lee Myung-Shik 
Published: February 2024

BackgroundSince NEK7 is critical for NLRP3 inflammasome activation, NEK7 inhibitors could be employed as therapeutic agents against gout, a representative disease caused by NLRP3 inflammasome.MethodsWe designed NEK7 inhibitors based on biochemical kinome profiling of 2,7-substituted thieno[3,2-d]pyrimidine derivatives (SLC3031~3035 and SLC3037). Inflammasome activation was assessed by ELISA of IL-1b and immunoblotting of IL-1b maturation after treatment of bone marrow-derived macrophages with LPS+monosodium urate (MSU). NLPR3 binding to NEK7 and oligomerization were examined using immunoprecipitation and Blue Native gel electrophoresis, respectively. In vivo effect was investigated by studying gross and histopathological changes of food pad tissue of MSU-injected mice, together with assays of maturation of IL-1b and ASC speck in the tissue.ResultsSLC3037 inhibited inflammasome by MSU and other inflammasome activators through blockade of NLRP3 binding to NEK7 or oligomerization, and subsequent ASC oligomerization/phosphorylation. SLC3037 significantly reduced foot pad thickness and inflammation by MSU, which was superior to the effects of colchicine. SLC3037 significantly reduced content or maturation of IL-1b and ASC speck in the food pad. The number and height of intestinal villi were decreased by colchicine but not by SLC3037.ConclusionSLC3037, a NLRP3 inhibitor blocking NEK7 binding to NLRP3, could be a novel agent against diseases associated with NLRP3 inflammasome activation such as gout, cardiovascular diseases, metabolic syndrome or neurodegenerative diseases.
The associations between gut microbiota and inflammatory skin diseases: a bi-directional two-sample Mendelian randomization study
Authors: Zhong Yun , Wang Fan , Meng Xin , Zhou Lei 
Published: February 2024

BackgroundAccumulating evidence shows that dysregulation of intestinal flora is associated with inflammatory skin diseases, specifically atopic dermatitis (AD), psoriasis (PSO), and rosacea (ROS). However, the causality is still unclear.ObjectivesTo study the underlying causality between gut microbiota (GM) and AD, PSO, and ROS, a bi-directional two-sample Mendelian randomization (2SMR) analysis was conducted.MethodsSummary statistics of gut microbiota, AD, PSO, and ROS were extracted from large-scale genome-wide association studies (GWASs). In 2SMR analysis, in addition to the inverse variance weighted as the principal method for evaluating causal association, four different methods were also used. Sensitivity analysis and reverse 2SMR study were implemented to evaluate the robustness of 2SMR results or reverse causal relationship, respectively.ResultsA total of 24 specific gut microbiota species related to AD, PSO, and ROS were identified by 2SMR analysis. After using the Bonferroni method for multiple testing correction, family FamilyXIII (ID: 1957) [OR = 1.28 (1.13, 1.45), p = 9.26e−05] and genus Eubacteriumfissicatenagroup (ID: 14373) [OR = 1.20 (1.09, 1.33), p = 1.65e−04] were associated with an increased risk for AD and PSO, respectively. The genus Dialister showed a negative association, suggesting a protective role against both atopic dermatitis and rosacea. Our reverse 2SMR analysis indicated no reverse causality between these inflammatory skin diseases and the identified gut microbiota.ConclusionsIn summary, this study provided evidence for the causality between GM and inflammatory skin diseases. These findings suggested that supplementing specific bacterial taxa may be an effective therapy for AD, PSO, and ROS.
IgLON5 deficiency produces behavioral alterations in a knockout mouse model
Authors: Landa Jon , Serafim Ana Beatriz , Alba Mercedes , Maudes Estibaliz , Molina-Porcel Laura , Garcia-Serra Anna , Mannara Francesco , Dalmau Josep , Graus Francesc , Sabater Lidia 
Published: February 2024

BackgroundAnti-IgLON5 disease is a neurological disorder characterized by autoantibodies against IgLON5 and pathological evidence of neurodegeneration. IgLON5 is a cell adhesion molecule of unknown function that is highly expressed in the brain. Our aim was to investigate the impact of IgLON5 loss-of-function in evaluating brain morphology, social behavior, and the development of symptoms observed in an IgLON5 knockout (IgLON5-KO) mouse model.MethodsThe IgLON5-KO mice were generated using CRISPR-Cas9 technology. Immunohistochemistry on fixed sagittal brain sections and Western blotting brain lysates were used to confirm IgLON5 silencing and to evaluate the presence of other cell surface proteins. Two- month-old IgLON5-KO and wild-type (WT) mice underwent a comprehensive battery of behavioral tests to assess 1) locomotion, 2) memory, 3) anxiety, 4) social interaction, and 5) depressive-like behavior. Brain sections were examined for the presence of anatomical abnormalities and deposits of hyperphosphorylated tau in young adult (2-month-old) and aged (22-month-old) mice.ResultsMice did not develop neurological symptoms reminiscent of those seen in patients with anti-IgLON5 disease. Behavioral testing revealed that 2-month-old IgLON5-KO mice showed subtle alterations in motor coordination and balance. IgLON5-KO females exhibited hyperactivity during night and day. Males were observed to have depressive-like behavior and excessive nest-building behavior. Neuropathological studies did not reveal brain morphological alterations or hyperphosphorylated tau deposits.ConclusionIgLON5-KO mice showed subtle alterations in behavior and deficits in fine motor coordination but did not develop the clinical phenotype of anti-IgLON5 disease.