bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pre-estrus progesterone does not affect post-estrus luminal metabolome in cross-bred beef cows
Authors: Silva Felipe A C C , Martins Thiago , Sponchiado Mariana , Rocha Cecilia C , Ashrafi Nadia , Graham Stewart F , Pohler Ky G , Peñagaricano Francisco , Gonella-Diaza Angela M , Binelli Mario 
Published: May 2023

In brief
The concentration of progesterone through the estrous cycle modulates uterine function to affect the luminal metabolome. This paper reports that the dynamic changes in the bovine uterine luminal metabolome during diestrus are independent of the concentration of progesterone in the previous cycle.

Abstract
In cattle, the concentration of sex steroids modulates uterine function, which is reflected in the composition of the luminal metabolome. Ultimately, the uterine luminal metabolome influences embryonic growth and development. Our objectives were (i) to compare the luminal metabolome 4, 7, and 14 days after estrus of cows that were exposed to greater (HP4; n = 16) vs lower (LP4; n = 24) concentrations of progesterone before displaying estrus and ovulating spontaneously and (ii) to identify changes in the luminal concentration of metabolites across these time points. Luminal epithelial cells and fluid were collected using a cytology brush, and gene expression and metabolite concentrations were assessed by RNAseq and targeted mass spectrometry, respectively. Metabolome profile was similar between treatments within each of days 4, 7, and 14 (false discovery rate (FDR): ≥ 0.1). Concentrations of 53 metabolites changed, independent of treatment, across the diestrus. Metabolites were mostly lipids (40 out 53) and the greatest concentrations were at day 14 (FDR: ≤ 0.1). On day 7, the concentration of putrescine and the gene expression of ODC1, PAOX, SLC3A2, and SAT1 increased (P ≤ 0.05). On day 14, the concentration of 3 ceramides, 4 glucosylceramides, and 12 sphingomyelins and the expression of SGMS2 were increased, in addition to the concentration of choline and 20 phosphatidylcholines. Collectively, the post-estrus concentration of luminal metabolites changed dynamically, independent of the concentration of sex steroids on the previous cycle, and the greatest magnitude changes were on day 14 when lipid metabolism was the most enriched pathway.
Frequency of mutations in erm(39) related to clarithromycin resistance and in rrl related to linezolid resistance in clinical isolates of Mycobacterium fortuitum in Iran
Authors: Hashemzadeh Mohammad , Zadegan Dezfuli Aram Asareh , Khosravi Azar Dokht , Ahmad Khosravi Nazanin , Hashemi Shahraki Abdorazagh 
Published: May 2023

AbstractMycobacterium fortuitum is a clinically important species among nontuberculous mycobacteria (NTM). Treatment of diseases caused by NTM is challenging. The aim of this study was identification of drug susceptibility and detection of mutations in erm(39) related to clarithromycin resistance and in rrl related to linezolid resistance in clinical isolates of M. fortuitum in Iran. In the study, 328 clinical NTM isolates were subjected to identification based on rpoB and 15% of isolates were assigned to M. fortuitum. Minimum inhibitory concentration for clarithromycin and linezolid was determined by E-test. Altogether 64% of M. fortuitum isolates showed resistanc to clarithromycin and 18% of M. fortuitum isolates showed resistance to linezolid. PCR and DNA sequencing were performed in erm(39) and in rrl genes for detection of mutations related to clarithromycin and linezolid resistance, respectively. Sequencing analysis revealed (84.37%) single nucleotide polymorphisms in the erm(39). A total 55.55% of M. fortuitum isolates harbored an A→G, 14.81% harbored an C→A, 29.62% harbored an G→T mutation in erm(39) at position 124, 135, 275. Seven strains harbored point mutation in the rrl gene either at T2131C or at A2358G. Our findings showed M. fortuitum isolates have become a serious problem with high-level antibiotic resistance. The existence of drug resistance to clarithromycin and linezolid indicates more attention to the study of drug resistance in M. fortuitum.
Векторные процессы реализации правового регулирования культурной политики Приднестровья
Authors: Голубь Наталья Александровна 
Published: May 2023

<p>В статье рассматривается сложившаяся за 30-летнюю историю образования Приднестровья государственно-правовая система, регулирующая культурные процессы в молодой республике, находящейся под воздействием трансформирующихся геополитических процессов. Господствующая идеология закреплена в законодательстве о культуре и культурной политике республики и представляет собой иерархически структурированную систему, состоящую из нескольких блоков законов и подзаконных актов: от документов стратегического планирования и управления сферой культуры до законов общего применения и отраслевых. Внутренние интенции развития республики позволили заложить ценностно-смысловое ядро политики культурного развития Приднестровья, мейнстримным руслом которого является ориентация на гетерогенность культуры. Курс на гармонизацию с законодательством РФ на начальном этапе развития молодой республики позволил закрепить положения, способствующие сохранению культурного наследия и инфраструктуры, активизации деятельности культурных институтов республики. Но период турбулентности пройден, в связи с чем необходимо актуализировать законодательные нормы, способствующие консолидации общества перед современными вызовам, в условиях влияния модернизационных западных трендов, зачастую неприемлемых для приднестровского общества, характерной чертой которого является ориентация на «русскокультурность».</p><p>Акцентируется внимание на том, что на данном историческом этапе необходима разработка положений государственной культурной политики Приднестровья, а также пересмотр существующего законодательства в области политики культурного развития, в частности в сфере историко-культурного наследия, внедрение отраслевых целевых программ по развитию библиотечных фондов, музейных учреждений, охраны памятников, с учетом современных вызовов, позволяющих противостоять смене культурных парадигм всех территорий — представителей «русского мира».</p>
Effects of 7-hydroxy-2-(4-hydroxy-3-methoxyphenyl)-chroman-4-one on serum levels of antioxidant enzymes in hyperlipidemic rats
Authors: Prasetyastuti . , Gama Noviyanty Indjar 
Published: May 2023

Hyperlipidemia triggers oxidative stress caused by an imbalance between oxidant and antioxidant levels due to the excess production of reactive oxygen species (ROS). The increase of ROS can decrease antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). 7-OH-2-(4-OH-3-Methoxyphenyl)-chroman-4-one is exogenous antioxidants isolated from mahogany seeds (Swietenia macrophylla King). This study aimed to evaluate the effects of the 7-OH-2-(4-OH-3-methoxyphenyl)-chroman-4-one on serum levels of SOD, CAT, and GPx in hyperglycemic rats. Thirty-six male Wistar rats (Rattus norvegicus) were divided into the following six groups: (N) normal group, (HL) hyperlipidemia group, (P) hyperlipidemia group with simvastatin, F10, F30, and F90 hyperlipidemia group with 7-OH-2-(4-OH-3-methoxyphenyl)-chroman-4-one 10, 30 and 90 mg/200g body weight (BW), respectively. Hyperlipidemia was induced by feed enriched with cholesterol and cholic acid. Treatments were administered orally by gavages. After 4 weeks of treatments, blood sample was drawn and serum levels of SOD, CAT, and GPx enzymes were analyzed using a spectrophotometric method. Serum levels of SOD, CAT, and GPx in hyperlipidemic rats treated with 7-hydroxy-2-(4-hydroxy-3-methoxyphenyl)-chroman-4-one at dose 10, 30 and 90 mg/200g BW were higher than HL group. In addition, no significantly different on serum SOD and CAT between group F90 and group P was observed (p>0.05)
The impact of COVID-19 pandemic on decreasing hospitalization rates and management of acute coronary syndrome: a study from single centre hospital in Yogyakarta, Indonesia
Authors: Bagaswoto Hendry Purnasidha , Satria Ferdinandus Bayu , Khairina Hani , Taufik Nahar , Setianto Budi Yuli 
Published: May 2023

The Corona virus disease-2019 (COVID-19) pandemic has an impact on the medical field, one of which is service for patients with acute coronary syndrome (ACS). Studies in other countries showed a sudden decrease in admission rates, and percutaneous coronary intervention (PCI), one of ACS treatments, has an impact due to this pandemic. This study aimed to ascertain the effect of COVID-19 on the admissions and management of patients with ACS in Yogyakarta, Indonesia. It was an observational single center study conducted by collecting data for ACS patients at Dr. Sardjito General Hospital, Yogyakarta. Admission data for March 2019 to February 2020 were pre pandemic data, while those gathered from March to December 2020 were pandemic data. Data from 864 (pre pandemic period) and 338 patients (during the pandemic period) were further analyzed. The results showed a decrease in ACS patients’ admission during the pandemic. The most remarkable reduction occurred in those with ST-segment elevation myocardial infarction (STEMI), followed by non-STEMI (NSTEMI) and unstable angina pectoris (UAP) (63.4, 61.4, and 40.9%, respectively). Furthermore, the PCI procedure decreased compared to the period before the pandemic. No significant differences in patients’ characteristics was observed (p>0.05), except for the incidence of pneumonia (p <0.001). Finally, the mortality rate was higher during the pandemic than before (14.8 vs 13.2%), although it was not significant (p>0.05). This study showed that COVID-19 caused a sensible reduction in the admission rates for ACS patients and the number of PCI procedures have been performed. On the other hand, their mortality rate did not increase significantly. However, it is essential to improve healthcare services for ACS patients considering the uncertainty of ending the COVID-19 outbreak.
Relationship of bizygomatic and bigonial breadth with the suitability of surgical masks
Authors: Samara Diana , Wartono Magdalena , Hairunisa Nany , Merijanti Lie T. , Ridwan Alvin M. , Harrianto Ridwan 
Published: May 2023

Use of masks is mandatory to prevent the transmission of COVID-19. Appropriate masks that match the face size is very important to avoid leakage. This study aimed to evaluate the relationship between bizygomatic and bigonial breadth with the suitability of surgical masks. It was an analytic observational study with a cross-sectional design conducted at the Occupational Medicine Laboratory, Faculty of Medicine, Universitas Trisakti, Jakarta during March to April 2021. A total 132 employees of Faculty of Medicine, Universitas Trisakti aged from 20 to 64 y.o. who meet the inclusion and exclusion criteria participated in this study. No significantly difference in age (p=0.248) and body mass index (BMI) (p=0.226) was observed. However, there was a significantly difference in bizygomatic width (p=0.000) and bigonial width (p=0.001) between men and women. The use of appropriate surgical masks was observed in 89 respondents, but not suitable for 43 respondents. There was no significantly difference between BMI, bizygomatic width and bigonial width with the suitability of surgical masks. However, old age was significantly more appropriate for using surgical masks than young people. In conclusion, BMI, bizygomatic width, and bigonial width are not substantially different with the suitability of surgical masks. However, older age is more suitable for employing surgical masks than younger age.
A Pattern Recognition Method for Offshore Drilling Gas Kick and Overflow Diagnosis
Authors: Xu Yang , Yang Jin , Hu Zhiqiang , Xu Dongsheng 
Published: May 2023

In offshore drilling, accidents such as gas invasion, overflow, and kicks are inevitable, and they can escalate into blowouts and other catastrophic events that result in casualties and substantial economic losses. Therefore, maintaining drilling safety requires accurate monitoring of gas invasion and overflow. The majority of overflow monitoring methods currently utilized at drilling sites are threshold-based. However, monitoring parameters acquired during actual drilling operations frequently contain noise signals, making it difficult for threshold-based methods to strike a balance between improving accuracy and minimizing false positives. In this paper, Pattern Recognition-based Kick Detection (PRKD) is proposed as a novel method for diagnosing overflow in offshore drilling. This method utilizes the overflow evolution process by integrating multi-phase flow calculations, data filtering theory, pattern recognition theory, the Bayesian framework, and other theoretical models. The PRKD effectively detects and monitors gas intrusion and overflow based on single parameters by analyzing the shape and wave characteristics of the curves. The case analysis demonstrates that the proposed method for monitoring drilling overflow achieves high precision while maintaining a low false positive rate. By combining advanced computational techniques with pattern recognition algorithms, the PRKD improves the accuracy and reliability of kick detection, enabling proactive responses to potential risks, protecting the environment and human lives, and optimizing drilling operations.
ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods
Authors: Rui Bai , Wu Hequn 
Published: May 2023

In recent years, video anomaly detection technology , which can intelligently analyze
massive video and quickly find abnormal phenomena, has attracted extensive attention with the
wide application of video surveillance technology . To address the complex and diverse problem
of abnormal human behavior detection in surveillance videos, a surveillance video abnormal
behavior detection and localization supervised method based on the deep network model and
the traditional method is proposed. Specifically, we combined AGMM and YOLACT methods to
obtain more accurate foreground information by fusing the foreground maps extracted by each technique. To further improve the accuracy , we use the PWC-Net technique to extract features of
the foreground images and input them into an anomaly classification model for classification. The
proposed method effectively detects and locates the abnormal behavior in the monitoring scene.
In addition to the aforementioned methods, this paper also employs YOLOV5 and DeepSORT
networks for object detection and tracking in the video, which allows us to track the detected
objects for better understanding of the scene in the video. Experiments on the UCSD benchmark
dataset and the comparison with state-of-the-art schemes prove the advantages of our method.
Deep Learning-Based Disentangled Parametrization for Model Calibration Under Multiple Geologic Scenarios
Authors: Yu Junjie , Jafarpour Behnam 
Published: May 2023

Abstract
Parametrization is widely used to improve the solution of ill-posed subsurface flow model calibration problems. Traditional low-dimensional parameterization methods consist of spatial and transform-domain methods with well-established mathematical properties that are mostly amenable to interpretation. More recent deep learning-based parametrization approaches exhibit strong performance in representing complex geological patterns but lack interpretability, making them less suitable for systematic updates based on expert knowledge. We present a disentangled parameterization approach with variational autoencoder (VAE) architecture to enable improved representation of complex spatial patterns and provide some degree of interpretability by allowing certain spatial features and attributes of a property map to be controlled by a single latent variable (generative factor), while remaining relatively invariant to changes in other latent factors. The existence of disentangled latent variables brings extra controllability to incorporate expert knowledge in making updates to the model. We explore two different approaches to achieve disentangled parameterization. In the first approach, we use β-VAE to learn disentangled factors in unsupervised learning manner, while in the second approach we apply the conditional VAE to represent discrete disentangled factors through supervised learning. By encoding the geologic scenarios into discrete latent codes, the parameterization enables automated scenario selection during inverse modeling and assisted updates on the spatial maps by experts. We present preliminary results using a single-phase pumping test example to show how model calibration can benefit from the proposed disentangled parameterization.
The use of lateral arm perforator flap in the reconstruction of post-burn cubital contracture
Authors: Abdelkarim Ahmed , Raief Tarek , Elyounsi Mohamed 
Published: May 2023

Abstract
Introduction
Elbow contracture is a challenging problem to the reconstructive surgeon owing to the wide range of extension that should be achieved and due to the common unavailability of local tissues to be used for reconstruction of the elbow.(1)The lateral arm flap (LAF) is a popular flap transfer, which can be applied in many procedures. Described in 1982 and since its clinical application has been increasing. Perforator flaps become indispensable tool which help not too sacrifice the pedicel (2)
Objective: to describe using the lateral arm perforator flap for reconstruction of cubital contracture secondary to burn.
Methods: It is a retrospective analysis of patients who underwent cubital fossa reconstruction.
Results: In the current series, ten patients were included with the mean age 24 years (8 to 36). they were operated for definitive reconstruction on average 72 months (24m to 120m) after the initial injury. The reconstruction for 10 cases in our study was performed as one stage procedure. In the current study, complications were observed in three cases (27.3%), the wound dehiscence was recorded in one patient also, we faced two patients with dissatisfied results due to bulkiness of the flap in the elbow.
Conclusion: We concluded that the lateral arm perforator flap is a versatile and reliable option for the reconstruction of all types of elbow contracture, releasing defects with satisfactory results in terms of function and esthetic outcomes.
An innovative hybrid training method for ultrasound in giant cell arteritis, polymyalgia rheumatica and large vessel vasculitis
Authors: Chew Li-Ching , Hong Cassandra , Dasgupta Bhaskar 
Published: May 2023

Abstract
To circumvent the lack of hands-on ultrasound training resulting from inability to conduct face-to-face workshops during the COVID-19 pandemic, especially as local expertise was not available, we developed a novel hybrid method combining virtual and physical training. The objective was to achieve appropriate expertise in ultrasound for the safe and accurate diagnosis of giant cell arteritis, polymyalgia rheumatica, and large vessel vasculitis. To evaluate the effectiveness of training, competency assessment was conducted using the hybrid platform.
Trends in Uptake and Impact of Thermostable Vaccines in Africa
Authors: Kitui Sophia Khalayi , Juma Evans , Ndalama Maureen Tayamika , Chilot Dagmawi , Tolossa Dejene , Woldemedhin Betelhiem , Muzazu Seke GY , Digamo Kidist , Manyazewal Tsegahun 
Published: May 2023

Abstract
To ensure that the vaccine's stability and viability are maintained, vaccines need to be stored at cooler temperatures. Exposing a vaccine to extreme freezing conditions and high temperatures may result in the loss of its potency and viability. Therefore, the cold chain ensures that the potency of a vaccine is maintained. Thermostable vaccines come up to address the challenges faced while trying to maintain vaccines in a cold chain. Almost 80% of prequalified vaccines require cold chain systems to maintain their potency which is not feasible in settings that lack electricity connections and vaccine storage equipment. Thermostable vaccines, however, are technological advancements believed to solve this problem since they do not depend on cold chain mechanisms for vaccine transport and storage. For example, a pilot study that was done in Uganda shows that the Gardasil vaccine is a heat-stable vaccine and can be kept for 130 months or more at 25°C, 1.5 years at 37°C, and 3 months at 42°C. Another similar study was conducted to check the thermostability of the Menafrivac vaccine. Results indicate that Menafrivac can survive a temperature of up to 40°C for 4 days. This study involved a narrative review of published articles to assess the trends in the uptake of thermostable vaccines and their impact in Africa. The results show that majority of health care providers had poor knowledge regarding thermostable vaccines. Nevertheless, the acceptability of thermostable vaccines by health care providers is quite high because the majority of them are aware of various problems posed during transportation, and storage of vaccine as far as stability and viability is concerned.
LinRace: single cell lineage reconstruction using paired lineage barcode and gene expression data
Authors: Zhang Xiuwei , Pan Xinhai , Li Hechen , Putta Pranav 
Published: May 2023

Abstract
Understanding how single cells divide and differentiate into different cell types in developed organs is one of the major tasks of developmental and stem cell biology. Recently, lineage tracing technology using CRISPR/Cas9 genome editing have enabled simultaneous readouts of gene expressions and lineage barcodes in single cells, which allows for the reconstruction of the cell division tree, and even the detection of cell types and differentiation trajectories at the whole organism level. While most state-of-the-art methods for lineage reconstruction utilize only the lineage barcode data, methods that incorporate gene expression data are emerging, aiming to improve the accuracy of lineage reconstruction. However, effectively incorporating the gene expression data requires a reasonable model on how gene expression data changes along generations of divisions. Here, we present LinRace (Lineage Reconstruction with asymmetric cell division model), a method that integrates the lineage barcode and gene expression data using the asymmetric cell division model and infers cell lineage under a framework combining Neighbor Joining and maximum-likelihood heuristics. On both simulated and real data, LinRace outputs more accurate cell division trees than existing methods for lineage reconstruction. Moreover, LinRace can output the cell states (cell types) of ancestral cells, which is rarely performed with existing lineage reconstruction methods. The information on ancestral cells can be used to analyze how a progenitor cell generates a large population of cells with various functionalities. LinRace is available at: https://github.com/ZhangLabGT/LinRace.