bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGUATAN EDUKASI NUTRISI DALAM MEMPERCEPAT PENYEMBUHAN LUKA PASKA KHITAN PADA ANAK KHITAN DI DESA SUKORENO KEC. KALISAT JEMBER
Authors: Abdillah Achlish , Azizah Laili Nur 
Published: July 2023

Alasan tindakan khitan pada anak laki-laki antara lain karena faktor sosial,budaya, agama dan medis. Normal penyembuhan khitan terlihat baik secara kosmetik dimulai hari ke 7-10 dan tanpa terjadinya komplikasi. Di masyarakat masih ditemukan mitos yang salah makanan yang dikonsumsi pada anak pasca khitan sesuai hasil penelitian dari Darma, Zaimy dan Idaman, menyatakan hambatan yang sering penyembuhan luka pasca khitan justru dari persepsi orang tua yang keliru terhadap pengetahuan yang diterima, kepercayaan yang berpantang terhadap makan makanan tertentu. Si Anak tidak diberikan makanan jenis protein seperti telur, ikan daging dengan kepercayaan menyebabkan luka tidak sembuh, terjadi gatal. Orang tua belum paham jenis nutrisi yang tepat dikonsumsi pada luka pasca khitan sehingga diperlukan pemberian pemahaman pengetahuan secara tepat, interaktif untuk meluruskan persepsi, mengatasi keluhan dan komplikasi. Tujuan pengabdian masyarakat ini adalah peserta mengerti, memahami jenis nutrisi yang tepat dikonsumsi untuk membantu mempercepat penyembuhan luka anak pasca khitan serta mengembalikan mitos yang salah makanan pada luka pasca khitan. Metode telah dilakukan berupa pemberian edukasi langsung pada 21 orang tua Si Anak yang dikhitan selama 30 menit menggunakan media poster, leaflet, tanya jawab serta contoh konkrit nutrisi yang sesuai dan telah dibagikan kepada Si Anak berupa telur matang kaya protein, minuman juz apel yang mengandung mineral zing. Dampak kegiatan pengabdian telah menunjukkan bahwa ada peningkatan pemahaman orang tua dan Si anak Serta ada perubahan komitmen sikap tingkah laku dalam upaya memberikan nutrisi yang sesuai pada Si Anak paska khitan.
Primordial germ cell DNA demethylation and development require DNA translesion synthesis.
Authors: Crossan Gerry , Shah Pranay , Hill Ross , Clark Stephen , Dion Camille , Abakir Abdulkadir , Arends Mark , Leitch Harry , Reik Wolf 
Published: July 2023

Abstract

Mutations in DNA damage response (DDR) factors are associated with human infertility, which affects up to 15% of the population. It remains unclear if the role of DDR is solely in meiosis. One pathway implicated in human fertility is DNA translesion synthesis (TLS), which allows replication impediments to be bypassed. We find that TLS is essential for pre-meiotic germ cell development in the embryo. Loss of the central TLS component, REV1, significantly inhibits the induction of human PGC-like cells (hPGCLCs). This is recapitulated in mice, where deficiencies in TLS initiation (Rev1-/- or PcnaK164R/K164R) or extension (Rev7-/-) result in a >150-fold reduction in the number of primordial germ cells (PGCs) and complete sterility. In contrast, the absence of TLS does not impact the growth, function, or homeostasis of somatic tissues. Surprisingly, we find a complete failure in both activation of the germ cell transcriptional program and in DNA demethylation, a critical step in germline epigenetic reprogramming. Our findings show that for normal fertility, DNA repair is required not only for meiotic recombination but for progression through the earliest stages of germ cell development in mammals.
Identification of metabolic pathways and key genes associated with Atypical Parkinsonism using a systems biology approach
Authors: Pasqualotto Amanda , Silva Vinícius da , Pellenz Felipe Mateus , Schumacher-Schuh Artur Francisco , Schwartz Ida Vanessa Doederlein , Siebert Marina 
Published: July 2023

Abstract
Atypical parkinsonism (AP) is a group of complex neurodegenerative disorders with marked clinical and pathophysiological heterogeneity. The use of systems biology tools may contribute to the characterization of hub-bottleneck genes, and the identification of its metabolic pathways to broaden the understanding of the bases of these disorders. A systematic search was performed on the DisGeNET database, which integrates data from expert curated repositories, GWAS catalogues, animal models and the scientific literature. The tools STRING 11.0 and Cytoscape 3.8.2 were used for analysis of protein-protein interaction (PPI) network. The PPI network topography analyses were performed using the CytoHubba 0.1 plugin for Cytoscape. The hub and bottleneck genes were inserted into 4 different sets on the InteractiveVenn. Additional functional enrichment analyses were performed to identify Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene ontology for a described set of genes. The systematic search in the DisGeNET database identified 485 genes involved with Atypical Parkinsonism. Superimposing these genes, we detected a total of 31 hub-bottleneck genes. Moreover, our functional enrichment analyses demonstrated the involvement of these hub-bottleneck genes in 3 major KEGG pathways. We identified 31 highly interconnected hub-bottleneck genes through a systems biology approach, which may play a key role in the pathogenesis of atypical parkinsonism. The functional enrichment analyses showed that these genes are involved in several biological processes and pathways, such as the glial cell development, glial cell activation and cognition, pathways were related to Alzheimer disease and Parkinson disease. As a hypothesis, we highlight as possible key genes for AP the MAPT (microtubule associated protein tau), APOE (apolipoprotein E), SNCA (synuclein alpha) and APP (amyloid beta precursor protein) genes.
An Efficient Assembly Retrieval Approach based on Compressed Part Parameter Vector
Authors: Zhang Kun , Zhang Shaowu , Wei Shuguo , Zhou Yan , Jie Xiong 
Published: July 2023

Abstract
Assembly retrieval techniques enable product-level model reuse, and are relevant for accelerating product design and improving industrial efficiency. Previous work involved describing the assembly using part parameter vectors and solving the problem using the modified Hausdorff distance (MHD). However, this assembly description approach does not provide an in-depth consideration of the part composition of the actual product, nor does it provide a convincing description of the choice of distance paradigm for Hausdorff distance. We proposed a compressed part-parameter vector model to represent the assembly. By searching and removing identical and standard parts that exist within the assembly and between matched assemblies, the original part parameter vector model is compressed into an assembly model that requires less representation space, thereby directly reducing the time consumption of the retrieval process. At the same time, we used a correction coefficient to correct the retrieval results to prevent the model distortion caused by the deletion of parts in the assembly and to affect the retrieval accuracy. Regarding the choice of distance metrics, we studied the commonly used metric paradigms of Euclidean and Manhattan distances in a unified MHD framework. Relevant experimental verifications have demonstrated that our method can effectively improve the efficiency of assembly retrieval.
Reconciling Roles of Natural Variability and Anthropogenic Warming in Driving Observed Arctic Atmospheric River Trends
Authors: Wang Hailong , Chen Gang , Leung L. , LU Jian , Rasch Philip , Fu Qiang , Kravitz Ben , Zou Yufei , Cassano John , Maslowski Wieslaw , Ma Weiming 
Published: July 2023

Abstract
Atmospheric rivers (ARs), intrusions of warm and moist air, can effectively drive weather extremes over the Arctic and trigger subsequent impact on sea ice and climate. What controls the observed multi-decadal Arctic AR trends remains unclear. Here, using multi-sources of observations and model experiments, we find that, contrary to the uniform positive trend in climate simulations, the Arctic AR frequency increases by twice as much over the Atlantic sector compared to the Pacific sector in 1981-2021. This discrepancy can be reconciled by the observed positive-to-negative phase shift of Interdecadal Pacific Oscillation (IPO) and the negative-to-positive phase shift of Atlantic Multidecadal Oscillation (AMO), which increase and reduce Arctic ARs over the Atlantic and Pacific sectors, respectively. Removing the influence of the IPO and AMO can reduce the projection uncertainties in near-future Arctic AR trends by about 24%, which is important for constraining projection of Arctic warming and the timing of an ice-free Arctic.
Reconstitution of Pluripotency from Mouse Fibroblast through Sall4 Overexpression
Authors: Xiao Lizhan , Huang Zifen , Wu Zixuan , Yang Yongzheng , Zhang Zhen , Kumar Manish , Wu Haokaifeng , Mao Huiping , Guo Jing , Luo Rongping , Li Yi , Zhu Ping , Liao Baojian , Wang Luqin , Liu Jing 
Published: July 2023

Abstract

Somatic cells can be reprogrammed into pluripotent stem cells (iPSCs) by overexpressing de-fined transcription factors. Specifically, OCT4 single factor overexpression has been shown to reprogram mouse fibroblasts into iPSCs. Yet, whether other single factor can induce iPSCs from fibroblasts remains unknown. Here, we demonstrate that, under an optimized reprogram-ming medium iCD4, SALL4 alone is capable to reprogram mouse fibroblast into iPSCs. Mech-anistically, SALL4 inhibits somatic genes and activates pluripotent genes (Rsk1, Esrrb and Tfap2c) to facilitate reprogramming. Furthermore, we show that co-overexpressing SALL4 and OCT4 enhances reprogramming efficiency synergistically. In detail, SALL4-activated Rsk1/Esrrb/Tfap2c, OCT4-activated Sox2, SALL4-suppressed Nkx6.1, and OCT4-suppressed Sbsn cooperate to facilitate SALL4/OCT4-mediated reprogramming. Overall, our study estab-lishes an efficient method for iPSCs induction using SALL4 single factor, and provides in-sights into the synergistic effects of SALL4 and OCT4 during somatic cell reprogramming.
Analysis and simulation of fractional-order financial models with and without market confidence using triangular basis functions
Authors: Dubey Shweta , Kundu Madhusree , Chakraverty S. 
Published: July 2023

Abstract
Researchers have long been interested in the dynamics of the financial system, including its stability, periodic and chaotic behaviour, as well as its effects on market confidence. The government, financial institutions, and all other stakeholder groups in a healthy economic system can be better prepared with accurate financial trend predictions. The financial system appears to be best described as having a fractional order because of the long memory effect in market patterns. The study of nonlinear dynamical phenomena, such as equilibrium points, stability, the Lyapunov exponent, the Lyaponov dimension, chaos, the impact of market confidence on financial systems, etc., enhances overall comprehension. The numerical simulation of the fractional-order model of this system has been done using the triangular basis function (TBF).
Conducting a systematic review in six weeks – experiences with and evaluation of an intensive team pilot project
Authors: Ames Heather Melanie R , Kornør Hege , Evensen Line Holtet , Lidal Ingeborg Beate , Hafstad Elisabet , Hestevik Christine Hillestad , Jardim Patricia Sofia Jacobsen , Hval Gyri 
Published: July 2023

Abstract

Background
Evidence synthesis organisations worldwide are trying to meet commissioners’ need for rapid responses to their evidence synthesis commissions. In this project we piloted an intensive process, working to complete an evidence synthesis within six-weeks, rather than the standard lead time of 4-6 months. There were three objectives:
1) To develop a plan for and conduct an evidence synthesis in six weeks or less (“intensive pilot”)
2) To register time used for the intensive pilot
3) To evaluate the intensive pilot process and identify barriers, facilitators, learning points, areas for improvement or future implementation ideas.
Methods
The two project teams divided the pilot into three phases: Pre-planning, planning and intensive. During the pre-planning phase commissions were identified and researchers were recruited. During the planning phase the team interacted with the commissioner, completed the evidence synthesis protocol, and planned how they were going to work together during the intensive phase. During the intensive phase the team implemented their plan and completed the evidence synthesis they were assigned. We held reflective meetings and kept evaluator notes throughout the process.
Results
The team was able to achieve the project objectives. They developed and implemented a plan for conducting an evidence synthesis in six weeks. They registered their times use. During the pilot process the team reflected on and evaluated the process itself to identify barriers, facilitators, learning points, areas for improvement or future implementation ideas. The involved researchers preferred working in this intensive way. They felt that time use was more effective, and they were more focused. However, there are implications for project leadership and implementation that should be considered before implementing an intensive approach in future evidence synthesis projects.
Conclusions
The involved researchers preferred working intensively with one evidence synthesis over being involved with many projects at the same time. They felt that time use was more effective, and they were able to complete the tasks in a focused way. However, there are several implications for project management, leadership and further implementation that should be considered before implementing an intensive approach in future evidence syntheses.
Biodegradation of malachite green by Pleurotus eryngii: A study on decolorization, mechanism, toxicity, and enzyme
Authors: Lv Guoying , Zhang Zuofa , Shen Yingyue , Wang Mei 
Published: July 2023

Abstract
The purpose of this study was to investigate the biodegradation capability of Pleurotus eryngii through decolorizing malachite green (MG), explore the possible mechanism, and test the toxicity. The results indicated that this strain possessed a high decolorizing ability. The intermediates of MG degradation identified by UPLC-TOF-Triple-MS analysis included 4-(dimethylamino)benzophenone, 4-(methylamino)benzophenone, and 4-(dimethylamino)phenol. Moreover, toxicity testing on the zebrafish animal model demonstrated a significant reduction in the toxicity of the degradation products. A newly discovered dye-decolorizing peroxidase (DyP-PE) from P. eryngii was amplified, cloned, and expressed. A 56.4 kDa protein of DyP-PE was purified, and this enzyme exhibited good decolorizing properties of MG. Therefore, this strain could potentially be used for the bioremediation of MG pollution, and the DyP-PE in P. eryngii may contribute to the degradation of MG.
Designing patient-oriented combination therapies for acute myeloid leukemia based on efficacy/toxicity integration and bipartite network modeling
Authors: Jafari Mohieddin , Mirzaie Mehdi , Gholizadeh Elham , Miettinen Juho , Ruokoranta Tanja , Ianevski Philip , Saarela jani , Manninen mikko , Miettinen Susanna , Heckman caroline 
Published: July 2023

Abstract
Acute myeloid leukemia (AML), a heterogeneous and aggressive blood cancer, does not respond well to single-drug therapy. A combination of drugs is required to effectively treat this disease. Computational models are critical for combination therapy discovery due to the tens of thousands of two-drug combinations, even with approved drugs. While predicting synergistic drugs is the focus of current methods, few consider drug efficacy and potential toxicity, which are crucial for treatment success. To find effective new drug candidates, we constructed a bipartite network using patient-derived tumor samples and drugs. The network is based on drug-response screening and summarizes all treatment response heterogeneity as drug response weights. This bipartite network is then projected onto the drug part, resulting in the drug similarity network. Distinct drug clusters were identified using community detection methods, each targeting different biological processes and pathways as revealed by enrichment and pathway analysis of the drugs' protein targets. Four drugs with the highest efficacy and lowest toxicity from each cluster were selected and tested for drug sensitivity using cell viability assays on various samples. Results show that the combinations of ruxolitinib-ulixertinib and sapanisertib-LY3009120 are the most effective with the least toxicity and best synergistic effects on blasts.
Multi-omics analysis reveals the impact of intratumor microbes on lung adenocarcinoma prognosis and ICB treatment
Authors: zhang yi , Li Mingshuang , Li Weilin , Chen Yufeng , Cheng Dan 
Published: July 2023

Abstract
Recent studies indicated that the presence of microorganisms within tumors constitutes a pivotal component of the tumor microenvironment (TME).In this study, we conducted a comprehensive analysis of intratumoral microbial factors employing multi-omics methodologies to elucidate the potential determinants influencing immune cell infiltration (ICI) and the pathogenesis of pulmonary adenocarcinoma (LUAD).We ascertained the constitution and configuration of intratumoral microbial communities as significant contributors to the disparities in survival rates observed among distinct ICI subtypes.Various immune cells infiltrating tumors,along with immunoregulatory genes,exhibited associations with the abundance of intratumoral microorganisms, consequently exerting indirect effects on immune checkpoint blockade (ICB) therapy.Our analysis underscores the critical role of intratumoral microorganisms in modulating the prognosis of ICI patterns and therapeutic responses in LUAD, thereby offering insightful guidance for refining contemporary immunotherapeutic strategies and prognostication for LUAD patients.
importance:Using the multi-omics data from the Cancer Genome Atlas (TCGA) LUAD cohort,we conducted a comprehensive assessment of the patterns of TME infiltration and unravelled the intricate interplay between gene expression and intratumoral microorganisms.This study highlights the significant impact of intratumoral microorganisms in promoting the progression of LUAD by influencing the tumor immune microenvironment and modulating responses to ICB therapy.Through meticulous analysis,we identified a constellation of composite features,encompassing four ICB-associated tumor-infiltrating immune cells(TIICs) and eighteen microorganisms of pertinence.
Is oral Streptococcus mutans with collagen-binding protein a risk factor for intracranial aneurysm rupture or formation?
Authors: Nakatogawa Hiokazu , Hokamura Kazuya , Nomura Ryota , Nakano Kazuhiko , Umemura Kazuo , Morita Akio , Homma Yoichiro , Tanaka Tokutaro 
Published: July 2023

Abstract
Objective: Streptococcus mutans (SM) with the collagen-binding protein Cnm is a unique member of the oral resident flora because it causes hemorrhagic vascular disorders. In the multicenter study, we examined the relationship between Cnm-positive SM (CP-SM) and intracranial aneurysm (IA) rupture, which remains unknown.
Methods: Between May 2013 and June 2018, we collected whole saliva samples from 431 patients with ruptured IAs (RIAs) and 470 patients with unruptured IAs (UIAs). Data were collected on age, sex, smoking and drinking habits, family history of subarachnoid hemorrhage, aneurysm size, number of teeth, and comorbidities of lifestyle disease.
Results: There was no difference in the positivity rate of patients with CP-SM between the patients with RIAs (17.2%) and those with UIAs (19.4%). The rate of positivity for CP-SM was significantly higher in all IAs <5 mm than in those ≥10 mm in diameter (P=0.0304). In the entire cohort, the rate of positivity for CP-SM was lower in larger aneurysms than in smaller aneurysms (P=0.0393).
Conclusions: The rate of positivity for CP-SM was lower among patients with large UIAs. These findings are consistent with the hypothesis that CP-SMplays a role in the formation of vulnerable IAs that tend to rupture before becoming larger.
Identification of L5 Vertebra on Lumbar Spine Radiographs Using Deep Learning
Authors: Kim Jeoung Kun , Chang Min Cheol , Park Wook-Tae , Lee Gun Woo 
Published: July 2023

Abstract
Background: Accurate and reliable spine numbering is critical for diagnosis, pre-procedural and preoperative planning, and treatment for spine pathology; however, it can be sometimes difficult to enumerate spine segment. Deep learning is an advanced machine-learning approach used in several medical fields. In this study, we aimed to develop a deep learning model using an object detection algorithm to identify the L5 vertebra on anteroposterior lumbar spine radiographs, and we assessed its detection accuracy.
Methods: A total of 150 participants for whom both anteroposterior whole spine and lumbar spine radiographs were available were retrospectively recruited. Anteroposterior lumbar spine radiographs of 150 patients were used as input data. Of the 150 images, 105 (70%) were randomly selected as the training set, and the remaining 45 (30%) were assigned to the validation set. YOLOv5x of the YOLOv5 family model was employed to detect the L5 vertebra area.
Results: The mean average precisions 0.5 and 0.75 of the trained L5 detection model were 99.2% and 96.9%, respectively. The model’s precision and recall were 95.7% and 97.8%, respectively. Of the validation data, 93.3% were detected correctly.
Conclusion: Our deep learning model showed an outstanding ability to identify L5 vertebrae for spine enumeration and numbering.
Fahr's disease with neuropsychiatric symptoms and intermittent course: a case report
Authors: Niksolat Maryam , Mokhtari Mahisa , Kamalzadeh Leila , Nabi Somaye 
Published: July 2023

Abstract

Background: Fahr's disease is a rare neurodegenerative disorder with brain calcifications and neuropsychiatric symptoms. It can have variable phenotypic expression and intermittent symptomatology, making diagnosis challenging.
Case presentation: The case involves a young woman who presented with psychosis and confusion. The patient had no previous psychiatric history, although approximately two years prior, she encountered multiple episodes of tonic-clonic seizures, which resolved spontaneously without the need for pharmacological intervention. Extensive investigations ruled out organic causes, leading to the diagnosis of Fahr's disease based on bilateral symmetrical brain calcifications observed on the CT scan. Treatment included antipsychotics and anticonvulsants.
Conclusion: This case highlights the importance of considering Fahr's disease as a differential diagnosis in patients with new-onset neuropsychiatric symptoms. The case also explores the atypical early onset and intermittent nature of symptoms in the absence of a positive family history, highlighting the complexity of Fahr's disease. A multidisciplinary approach and regular follow-up are crucial for optimizing patient care and monitoring disease progression. Further research is needed to enhance our understanding of Fahr's disease and develop standardized treatment strategies for this rare condition.