bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 Pandemisinin Tıbbi Ürün Ticaretine ve Ekonomik Kalkınmaya Etkisi (Impact of The COVID-19 Pandemic on Trade in Medical Products and Economic Development)
Authors: Altunay Rabiya , Gayaker Savaş , Korkmaz Sezer
Published: July 2023

Amaç –Bu çalışmada, COVID-19 döneminde gerçekleşen tıbbi cihaz ithalat ve ihracatının ülke ekonomisine etkilerini incelemek amaçlanmıştır. Yöntem –COVID-19 ile ilgili veriler Sağlık Bakanının twitter hesabından veSağlık Bakanlığının (SB) resmî web sitesinden alınmıştır. Tıbbi cihaz endüstrisine ilişkin veriler ise; ITC TradeMap veritabanından alınan Ocak 2003-Kasım 2021 dönemi ithalat ve ihracat veri setidir. Çalışmanın, pandemide gerçekleşen tıbbi cihaz ticaretinin ekonomiye etkileri, sanayi üretim endeksi, döviz kuru ve enflasyon değişkenleri de ele alınarak ekonometrik analizler ile çalışılmıştır.Bulgular –COVID-19 döneminde, tıbbi cihaz ihracatının ekonomik büyümeyi ve enflasyonu artırıcı, döviz kurunu azaltıcı; ithalatının ise döviz kurunu artırıcı, enflasyonu azaltıcı bir etkisi olduğu bulunmuştur.Tıbbi cihaz ithalatının ekonomik büyümeye etkisi olmamıştır.Tartışma –Aşı programlarının2021 yılında, yoğun bir şekilde devreye alınmasıyla birlikte küresel ekonomilerin toparlanma sürecine gireceği beklense de dünya belirsizliklerin yoğun olduğu bir dönemden geçmektedir. Belirsizlik ortamında ülke ekonomileri, değişkenlere beklentilerin dışında cevap verebilmektedir. Bu çalışmada da tıbbi cihaz ithalat ve ihracatının, Gayri Safi Yurt İçi Hasıla (GSYİH), sanayi endeksi, döviz ve enflasyon değişkenleri üzerinde önemli etkileri olduğu ve normal dönemde ihracatın enflasyonu düşürmesi beklenirken çalışmamızda bu sonucun çıkmadığı görülmektedir. Bu sonuç; COVID-19’un getirdiği durumsal faktörlerle birlikte döviz kuru ve aşırı para arzına bağlanmıştır. İthalat ve ihracatın döviz kuru üzerindeki etkisi ise; pandemiden daha çok ülkemizin para politikası, finansmana erişim ve artan risk primi faktörleri ile açıklanmıştır
ROAD INFRASTRUCTURE MANAGEMENT - THE PERSPECTIVE OF THE LOCAL ROADS AUTHORITY
Authors: ŚWITAŁA Marcin
Published: July 2023

This paper presents the results of research conducted among 100 local government units performing the duties of road network administrators, i.e., administrators of municipal roads (AMR), county roads (ACR) and those operating within the boundaries of cities with county rights (ACCR). The aim of the research was to identify and assess management problems related to the implementation of statutory measures related to the protection and development of respective road networks. A hypothesis was formulated about the existence of statistically significant differences between the AMR, ACR and ACCR groups, which was verified by quantitative analysis of the data obtained from the online survey. They were analysed and interpreted using the SPSS package and using measures of descriptive statistics, the correlation coefficient and the Kruskal–Wallis test by ranks. The results of the study indicate that the difficulties of providing and maintaining an efficient road network pavement, as well as the challenges of developing draft financing plans for the construction, reconstruction, and rehabilitation of the road network, are currently the main points of focus for all road administrators. The lack of statistical significance of intergroup differences was observed in the vast majority of measurements. The exceptions to this were the differences that occurred in the total number of difficulties reported, which were greater among the members of AMR and ACR than ACCR, as well as the differences related to the implementation of measures undertaken for the maintenance of roadside greenery, which were more onerous for ACR.
On Certain Modular Equations of Degree Three
Authors: Zhai Hong-Cun
Published: July 2023

We establish certain modular equations of degree three based on some results of Ramanujan's theta functions.
Performance of Continuous Glucose Monitoring Systems under Hyperbaric Conditions an Exploratory Study to Increase Diabetic Divers’ Safety
Authors: Herold Philipp , Weh Daniel
Published: July 2023

Background: In past years recreational diving has attracted more and more interest and among such divers an increasing number of diabetic divers. However, there is limited research on the accuracy of CGM systems under hyperbaric conditions and consistently diving guidelines make little reference to the use of CGM. Subject and Method: This exploratory study collected blood glucose samples of one diabetic diver over four dives and assessed the deviation of intersitial glucose values from two CGM systems based on 33 samples. A notable step of this method is to collect the data from actual dives under water. Results: The results indicate that a) under hyperbaric conditions of up to 2bar additional pressure and b) after decompression both CGM systems work comparably accurate as indictated by the manufacturer under normal conditions. This has been checked in terms of MARD and Clarke Error Grid Distirbution. Conculsion: For diabetic divers the results suggest they may take CGM monitors with them on dives to react to potential hypoglycemic events before they occur, i.e. when it is still safe to supplement glucose. For dive guidelines the results imply that these could reference CGM for dive planning and monitoring during the dive to increase divers‘ safety. For research this exploratory confirms the current hypothesis that neither increased pressure nor saltwater have an effect on blood glucose and the functioning of CGM systems. Further research may include additional sampling (number and depth) and more elaborate blood glucose measurement. The experimental setup applied is an efficient way to test further CGM systems.
Profitability assessment of precision agriculture applications – a step forward in farm management
Authors: Karydas Christos , Chatziantoniou Myrto , Tremma Ourania , Milios Alexandros , Stamkopoulos Kostas , Vassiliadis Vangelis , Mourelatos Spiros
Published: July 2023

Profitability is an underestimated concept in precision agriculture. In this research, a new module is developed within a pre-existing farm management system to assess the profitability of precision agriculture applications in extended crops. The module is regulated on a 5-meter spatial resolution, thus allowing scaling up of original and processed data on a zone-, field-, cultivar-, and farm-scale. A bottom-up approach, taking advantage of the full functionality of the farm management system, together with a flexible architecture and an easy-to-use interface, renders the new module an innovative commercial application.
3D Printed Carbon Nanotubes/Polylactic Acid Composite for Efficient Electromagnetic Interference Shielding
Authors: Xu Zhenzhen , Dou Tiantian , Wang Yazhou , Zuo Hongmei , Chen Xinyu , Zhang Mingchun , Zou Lihua
Published: July 2023

High-performance electromagnetic interference (EMI) shielding materials with ultralow density and environment friendly properties are greatly demanded to address electromagnetic radiation pollution. Herein, carbon nanotubes/polylactic acid (CNTs/PLA) materials with different CNTs contents, which exhibit characteristics of light weight, environmental protection and good chemical stability, are fabricated by 3D printing technology, where CNTs are evenly distributed and bind well with PLA. The performances of 3D printed CNTs/PLA composite are improved compared to pure 3D printed PLA composite, which include mechanical properties, conductive behaviors and electromagnetic interference (EMI) shielding. The EMI shielding effectiveness (SE) of CNTs/PLA composite could be improved when the contents of CNTs increase. When it reaches 15 wt%, the EMI SE of 3D printed CNTs/PLA composite could get up to 47.1 dB, which shields 99.998% of electromagnetic energy. Meanwhile, the EMI shielding mechanism of 3D printed CNTs/PLA composite is mainly of absorption loss, and it generally accounted for more than 80% of the total shielding loss. These excellent comprehensive performances endow the 3D printed CNTs/PLA composite with great potential for use in industrial and aerospace area.
Briefly on Fungal Allergens and Mold Allergy Diagnosis
Authors: Chesca Antonella A
Published: July 2023

Immunology is a branch of medicine that studies the immune system and its pathology. There are known scientific informations, that in medical immunology specific tests performed in the laboratory for diagnosis. In addition good to mention that allergies include medical diagnostic methods such as blood tests. Also there are used for detection the presence and the levels of IgE antibodies. These antibodies are produced by the human immune system in contact with certain allergens. Examples of allergens include for example pollen, house dust, some herbs or molds, some animals and certain foods. If a person has an allergy, their immune system overreacts to an allergen by producing antibodies, called Immunoglobulin E (IgE). Currently within the present describtion aim to discuss some aspects reffering to fungal allergen and mold allergy diagnosis, in a briefly following steps of our purposed shortly review.
Clustering classification of cyclists according to the acute fatigue outcomes produced by an ultra-endurance event
Authors: Sanchez-Jimenez Jose Luis
Published: July 2023

This study aimed to analyze the differences between clusters obtained by the acute effect of fatigue after an ultra-endurance event in the internal and external load of cyclists. 26 volunteers participated in the study, and they were divided into the experimental group (N = 18; height: 177 ± 8 cm; body mass: 78.6 ± 10.3 kg) and the control group (N = 8; height: 176 ± 10 cm; body mass: 78.0 ± 15.7 kg). The experimental group completed a 12 h non-stop cycling event. Jump height, lactate, plasma antioxidant capacity, pain perception and fatigue perception were measured before and after the event. Cyclists of the experimental group were classified considering their training characteristics (recreational vs. competitive) and by conducting a non-supervised K-means clustering. The differentiation of cyclists according to training characteristics resulted in a lower distance covered by recreational than competitive cyclists (279.4 ± 39.7 km vs. 371.0 ± 71.7 km; ES ≥ 0.8; p < 0.01), although no differences were observed in the remaining variables between groups (p > 0.05). The clustering analysis provided two clusters. Cluster 2 suffered a greater jump height reduction (-3.3 ± 1.6 vs. 1.2 ± 0.8; ES ≥ 0.8; p < 0.001) and increased pain and fatigue perception (ES ≥ 0.5; p < 0.05) after the race than Cluster 1. In conclusion, counter-movement jump can differentiate the fatigue produced by a cycling ultra-endurance event and therefore, this non-invasive technique is useful in fatigue monitoring and recovery planification.
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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning
Authors: Feng Xin , Wang Ping , Ma Zhansen , Wu Jiezhang , Xin Ruihao
Published: July 2023

Background
RNA molecules are important biomolecules in cells and play a crucial role in processes such as genetic information transfer and gene expression regulation. However, in addition to their basic nucleotide composition, RNA molecules undergo various modifications, including pseudouridine. Pseudouridine is a critical site of alteration that is found in many non-coding RNAs and has a role in a number of biological processes, including gene expression, RNA structural stability, and the development of several illnesses. Accurate identification of pseudouridine sites in RNA molecules is of significant importance for understanding their functionality and regulatory mechanisms. Traditional experimental methods often rely on techniques such as chemical modifications and mass spectrometry analysis. However, these methods are costly, time-consuming, and limited in terms of sample size. Therefore, the development of an efficient and accurate computational method for identifying pseudouridine sites in RNA holds great scientific significance and practical application value.
Results
In this study, we propose a deep learning-based computational method, Definer, to accurately identify RNA pseudouridine loci in three species, H. sapiens, S. cerevisiae and M. musculus. The method incorporates two sequence coding schemes, including NCP and One-hot, and then feeds the extracted RNA sequence features into a deep learning model constructed from CNN, GRU and Attention. The benchmark dataset contained data from three species, namely H. sapiens, S. cerevisiae and M. musculus, and the results using 10-fold cross-validation showed that the model accuracy reached 82.95, 86.01 and 87.15 for the three species, respectively, with Definer significantly outperforming other existing methods. Meanwhile, the data sets of two species, H. sapiens and S. cerevisiae, were tested independently to further demonstrate the predictive ability of the model.
Conclusion
It is well known that RNA modifications are an important component of gene regulation and most biological processes depend on RNA modifications. Among them, pseudouridine modification is one of the crucial modification sites, and the accurate identification of pseudouridine sites in RNA is important for understanding their functions and regulatory mechanisms. Therefore, this paper proposes a new predictor, Definer, which can accurately identify pseudouridine sites in three species: H. sapiens, S. cerevisiae, and M. musculus. results on benchmark and independent test sets show that Definer has good performance over other existing methods and can accurately identify pseudouridine sites in cross-species data sets. set can accurately identify pseudouridine loci. In addition, we have developed software that runs on a local computer to provide users with a better presentation of the pseudouridine site prediction process and results for the three species datasets.
An enteroendocrine-microbial axis in the large intestine controls host metabolism
Authors: Burstein Ezra , Tan Shuai , Santolaya Jacobo , Wright Tiffany , Liu Qi , Fujikawa Teppei , Chi Sensen , Bergstrom Colin , Lopez Adam , Chen Qing , Vale Goncalo , McDonald Jeffrey , Jia Da , Elmquist Joel , Sifuentes-Dominguez Luis
Published: July 2023

Nutrient handling is an essential function of the gastrointestinal tract. Most nutrient absorption occurs in the small intestine and is coordinated by hormone-producing intestinal epithelial cells known as enteroendocrine cells (EECs). In contrast, the colon mostly reclaims water and electrolytes, and handles the influx of microbially-derived metabolites, including short chain fatty acids (SCFA). Hormonal responses of small intestinal EECs have been extensively studied but much less in known about the role of colonic EECs in metabolic regulation. To address this core question, we investigated a mouse model deficient in colonic EECs. We found that colonic EEC deficiency leads to hyperphagia and obesity. Surprisingly, colonic EEC deficiency results in altered microbiota composition and metabolism, which we found through antibiotic treatment and transfer to germ free recipients, to be both necessary and sufficient for the development of obesity. Moreover, studying stool and blood metabolomes, we found that differential glutamate production by intestinal microbiota corresponds to increase appetite due to EEC loss. Finally, we show that colonic glutamate administration can directly increase food intake and activate appetite centers in the central nervous system. These observations shed light on an unanticipated host-microbiota axis in the colon, part of a larger gut-brain axis, that regulates host metabolism and body weight.
Establishment of a prediction model for haemorrhage after semi-tubeless PCNL
Authors: Liu Jingbang , Zhang Yi , Liu Qing , Shi yaxing
Published: July 2023

Objectives: To establish a prediction model to predict the risk of severe hemorrhage after semi-tubeless percutaneous nephroscopy(PCNL).
Methods: The data of 464 patients (464 semi-tubeless PCNL procedures) were retrospectively analyzed at Shenyang Red Cross Hospital from January 1st,2016 to January 1st,2023.The following factors were analyzed: blood pressure,stone score,expansion method,visualization,
Guys grades,avasculararea,diabetes,age,history of PCNL,duration,solid kidney,preoperative nephrostomy ,number of channel,channel size,BMI and gender.We established a prediction model by using the data above and we collect 50 additional patients as the test group to verify the accuracy of the model.
Results: For all the 464 patients, 91 patients had postoperative haemorrhage and 373 had no haemorrhage.The average hemoglobin drop for all the procedures was 23 .5±6.1g/L (range 20.1–38.1g/L), whereas the average hematocritdrop was 5.46±4.08% (range 0.4%–29%).We collect 16 variables.Univariate regression analysis was performed in SPSS and independent factors(P<0.2)affecting haemorrhage were selected.Gender(P=0.301),dilation method(P=0.455) and age(P=0.214) are excluded.We performed a logistic regression in the R studio.The nomogram was constructed to present the prediction model and the decision curve analysis(DCA) was conducted to evaluate the model efficiency.
Conclusion: For patients after semi-tubeless PCNL, High blood pressure,high stone score,non-visualization,high Guys grade,non-avascular area,diabet,advanced age,history of PCNL,long operation time ,solid kidney,non-preoperative nephrostomy,multiple channels,large channel size and high BMI are alarming variables for haemorrhage after semi-tubeless PCNL.Preoperative assessment of haemorrhage risk is necessary.
How do Gendered Laws Affect Women’s Decisions among Education, Family and Career? The Case of Taiwan
Authors: Tang Meng-Chi , Wang Zi-Xuan
Published: July 2023

This paper studies how women’s life decisions were affected by the passage of the Act of Gender Equality in Employment, legislation concerning workplace gender equality in Taiwan. Using a difference-in-differences estimation, we first showed that the act increased women’s education relative to men. We then separated women by their college education into the treatment and control groups in a bivariate probit model, considering their education decisions to be related with women’s other life decisions. Empirical results show that the effects of the act are conditional on college degree. The act increased the likelihood of women with a college degree to marry earlier, have children and start a job earlier. But the act increased the labor force participation of the women without a college degree more than the women with one. Our interpretation of the results is that the act enhanced the family prospects of the college-educated women and promoted the career prospects for the women without college degrees.
JEL classification: J16, K38
Biomimetic Artificial Bone Marrow Niches for the Scale Up of Hematopoietic Stem Cells
Authors: Gautrot Julien , Bosch-Fortea Minerva , Marciano Daniele
Published: July 2023

Hematopoietic stem cell (HSC) transplantation to treat haematological disorders is greatly restricted by poor cell availability. Ex vivo expansion of HSCs as a strategy to overcome this limitation has shown limited success so far, due to the loss of stem cell properties in culture. Therefore, engineering of culture platforms that mimic the physiological properties of the bone marrow (BM) in a scalable format is an important target to enable the translation of HSC therapies. Here, we report the design of biomimetic BM niches that enable the culture of HSCs in a scalable 3D platform. Beyond cellular and biochemical components (e.g., matrix and growth factors), an important element of the BM microenvironment is its architecture, dense in adipocytes, with relatively limited matrix and anisotropic mechanical properties. To capture this context, we propose the use of bioemulsions1,2 in which oil microdroplets and associated mechanical anisotropy recreate important architectural features of the hematopoietic niche. Mesenchymal stem cells (MSCs) grown at the surface of such bioemulsion remodelled this environment, assembling an interstitial matrix mimicking that of the BM microenvironment composition. In addition, MSCs secreted important factors underpinning the crosstalk between stromal cells and HSCs in the native environment. HSCs cultured in the resulting artificial BM niches maintained stemness whilst expanding significantly (> 33-fold compared to HSCs cultured in suspension) and enabling scale up of expansion in conical flask bioreactors, to produce 2M cells in a single batch. This platform therefore harnesses engineered BM microenvironments and the processability of bioemulsions and microdroplet technologies to produce HSCs in a scalable format, for application in cell-based therapies.
Laparoscopic multivisceral resection for advanced colorectal cancer: multicenter analysis of short-term and long-term outcomes
Authors: NAMBARA SHO , Nakanishi Ryota , Nonaka Kentaro , Fujimoto Yoshiaki , Hu Qinjiang , Nakanoko Tomonori , Sugiyama Masahiko , Ota Mitsuhiko , Kimura Yasue , Oki Eiji , Toh Yasushi , Yoshizumi Tomoharu
Published: July 2023

Background
In response to the rising use of laparoscopic surgery, recent studies have shown that laparoscopic multivisceral resection (MVR) for advanced colorectal cancer is safe, feasible, and provides acceptable oncological outcomes. However, the usefulness of laparoscopic MVR remains controversial. Here, we aimed to compare short-term and long-term outcomes between the laparoscopic and open MVR approaches for patients with advanced colorectal cancer.
Methods
We retrospectively collected data on 3571 consecutive patients admitted to the Kyushu University National Kyushu Cancer Center for surgical treatment of colorectal cancer between 2004 and 2020. We ultimately analyzed 84 patients who underwent a colectomy with MVR for advanced colorectal cancer. We assessed invasiveness in terms of operating time, blood loss, and complications. Oncological outcomes included 5-year overall survival and recurrence-free survival rates.
Results
Among the 84 patients analyzed, 29 were treated with a laparoscopic approach, and 55 were treated with an open approach. Compared to the open surgery group, the laparoscopic surgery group had significantly less blood loss (median volume: 167 vs 1058 g, P < 0.005) and shorter hospital stays (15 vs 18 days, P < 0.05). After patients with stage Ⅳ colorectal cancer were excluded from the analysis (laparoscopic surgery group, n = 25; open surgery group, n = 38), the groups showed similar pathologic outcomes and no significant differences in 5-year overall survival (P = 0.87) or recurrence-free survival (P = 0.86).
Conclusion
A laparoscopic MVR approach for advanced colorectal cancer could be less invasive than an open MVR approach without affecting oncological outcomes in selected patients.
Arylhydrazine salt-selenium: a novel and efficient reagent system for arylselenenylation of unprotected uracil and its derivatives
Authors: Wang Cong , Wu Yi , Peng Qi-Yun , He Yan-Ling , Zheng Xiao-He , Chen Yan-Qin , Wang Hai-Bo , Wang Bing , Xie Jun , Tang Lei
Published: July 2023

A convenient and efficient reagent system of arylhydrazine salt-selenium was developed to directly synthesize 5-selenium uracil from uracil, arylhydrazine salt and selenium powder. This procedure provides diverse 5-arylselanyluracils with good yields and functional group tolerance and selectively constructs different types of selenopyrimidine. The advantages of this protocol involve the use of commercial available, stable, cheap and easy to handle selenating reagents, not require catalysts and ligands, good regional selectivity, the tolerance of a variety of functional groups and the practicality.
Computational Comparison of CNN Based Methods for Violence Detection
Authors: Singh Shubhangi , Tyagi Bhawana
Published: July 2023

In this paper, we approach with four different CNN-based models i.e., VGG-19, VGG-16, InceptionV3 and MobileNetV3 with an improved version of the previous models for violence detection and recognition from videos. The proposed models use the pre-trained models as the base model for feature extraction and for classification after freezing the rest of the layer, the head model is prepared with averagepooling2D of (5, 5), and after flattening only one dense layer having 512 nodes with ‘ReLU’ activation function, dropout layer of 0.5 and last output layer with only 2 classes and ‘softmax’ activation function. This head model of fully connected layers was used in the proposed models. These models are trained and evaluated on the Hockey fight dataset and Real life violence situations detection datasets. The experimental results are far better in terms of accuracy and other performance metrics and the models have reduced parameters and less computational time than previous models.
Oxophilic Ce single atoms-triggered active sites reverse for superior alkaline hydrogen evolution
Authors: Zhou Kebin , Shen Fengyi , Zhang Zhihao , Wang Zhe , Ren Hao , Liang Xinhu , Cai Zengjian , Yang Shitu , Sun Guodong , cao yanan , Yang Xiaoxin , Hu Mingzhen , Hao Zhengping
Published: July 2023

The state-of-the-art alkaline HER catalyst of united Ru single atoms and small Ru nanoparticles (Ru1-Run) has sparked considerable research interest. However, it remains a serious problem that hydrogen evolution primarily occurs on the less active Ru single atoms instead of the more efficient small Ru nanoparticles in Ru1-Run, hence largely falling short of its full activity potential and unnecessarily increasing Ru usage amount. Here, we report that combining oxophilic Ce single atoms and fully-exposed Ru nanoclusters on a N functionalized carbon (Ce1-Run/NC) can facilely reverse alkaline hydrogen evolution centers to the more active fully-exposed Ru nanoclusters driven by the strong oxophilicity of Ce and thus greatly improves HER activity as well as Ru atom efficiency. Remarkably, the Ce1-Run/NC outperformed all the other Ru-based alkaline HER catalysts to date by its excellent mass activity. This finding is expected to shed new light on developing more efficient and cost-saving alkaline HER catalyst.