bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-Coding RNA in Idiopathic Interstitial Pneumonia and Covid-19 Pulmonary Fibrosis
Authors: Ali Mohammad Shadab , Singh Jay , Alam Md. Tanjim , Chopra Anita , Arava Sudheer , Bhalla Ashu Seith , Mittal Saurabh , Mohan Anant , Mitra Dipendra K , Hadda Vijay
Published: March 2022

Pulmonary fibrosis is the major manifestation of idiopathic interstitial pneumonia as well as post-COVID-19 complications. The pathogenesis of PF is a complex molecular process that involves many types of cells, proteins, genes, and regulatory elements. The non-coding RNA is the main regulatory element in this process which mainly includes; miRNA, circRNA, and lncRNA. These regulatory elements control the expression of many important genes and various pathways that are involved in the pathogenesis of pulmonary fibrosis. Identification and molecular mechanisms by which these non-coding RNA molecules works are very important because they do not only help to understand the molecular basis of the disease but could also serve as a potential diagnostic/prognostic marker as well as therapeutic targets. In this review, we have provided the latest findings and discussed the role of these regulatory elements in various biological processes and pathways involved in the pathogenesis of pulmonary fibrosis associated with IIPs and Covid-19.
“COVID Knocked me Straight Into the Dirt”: Perspectives from People Experiencing Homelessness on the Impacts of the COVID-19 Pandemic
Authors: Rodriguez Natalia M. , Martinez Rebecca G. , Ziolkowski Rebecca , Tolliver Cealia , Young Hope , Ruiz Yumary
Published: March 2022

Background
People experiencing homelessness (PEH) are uniquely susceptible and disproportionately affected by the impacts of the COVID-19 pandemic. Understanding context-specific challenges, responses, and perspectives of PEH is essential to improving pandemic response and mitigating the long-term consequences of the pandemic on this vulnerable population.
Methods
As part of an ongoing community-based participatory research study in partnership with a homeless service organization in Indiana, semi-structured interviews were conducted with a total of 34 individuals experiencing homelessness between January and July 2021. Guided by the NIMHD Health Disparities Research Framework, which builds on the socio-ecological model, data was thematically coded using Nvivo12 qualitative coding software and themes were organized by levels of influence (individual, interpersonal, community, societal) and domains of influence (biological, behavioral, physical/built environment, sociocultural environment, health care system).
Results
PEH narratives revealed numerous and compounding factors affecting COVID-19 risks and health outcomes among PEH across all levels and domains of influence. At the individual level, PEH experience unique challenges that heightened their susceptibility to COVID-19, including pre-existing physical and mental health conditions, substance use and behavioral health risks, socioeconomic precarity, and low health literacy and COVID-related knowledge. At the interpersonal level, poor communication between PEH and homelessness service providers led to limited understanding of and poor compliance with COVID safety measures. At the community level, closures and service disruptions restricted PEH access to usual spaces and resources to meet basic needs. At a policy level, PEH were disregarded in ways that made pandemic relief resources largely inaccessible to them.
Conclusions
Our findings reveal important and mitigable issues with ongoing pandemic response efforts in homeless populations through direct, first-hand accounts of PEH experiences during COVID-19. These insights offer opportunities for multilevel interventions to improve outreach, communication, and impact mitigation strategies for PEH. This study highlights the importance of centering the voices of vulnerable communities to inform future pandemic response for homeless and other underserved and marginalized populations.
A cancer stemness-related eight-gene signature for predicting prognosis and malignant degree of lung adenocarcinoma
Authors: Cheng Yuanjun , Yao Jie , Fang Qianru , Bin Chen , Zang Guohui
Published: March 2022

To identify a cancer stemness-related prognostic signature, we analyzed RNA-seq data of patients with lung adenocarcinoma from the TCGA and GEO cohort using univariate Cox and LASSO analysis. Eight genes (PLEK2, GPX8, TCN1, PERP, CD79A, PAX5, FSCN1, and CNNM1) were eventually identified to develop a cancer stemness-related signature. AUCs for 5-year overall survival were 0.681, 0.673, and 0.774 in the training, validation, and test sets, respectively. Kaplan-Meier curve analysis showed that the high-risk group has a poor survival as compared with the low-risk group in the training set, validation set, and test set, respectively (P < 0.05). Six genes (PLEK2, GPX8, TCN1, PERP, FSCN1, and CNNM1) were significantly upregulated in the cancerous tissue compared with in the normal tissue (P < 0.001), and correlated with an unwanted prognosis (P < 0.05). We constructed a prognostic nomogram combining the cancer stemness-related signature with TNM staging to precisely assess the prognosis of the patient with lung adenocarcinoma. Finally, we observed that the stemness-related gene signature also could predict the malignant levels of lung adenocarcinoma possibly via hypoxia, epithelial-mesenchymal transition and angiogenesis. Conclusively, this study developed a novel cancer stemness-related gene signature, and identified six pivotal genes which can serve as potential therapeutic targets in the treatment of lung cancer.
Retro-2 Alters Golgi Structure and Function
Authors: Yue Xihua , Gim Bopil , Zhu Lianhui , Tan Chuanting , Qian Yi , Graham Morven , Liu Xinran , Lee Intaek
Published: March 2022

Retro-2 directly interacts with an ER exit site protein, Sec16A, inhibiting ER exit of a Golgi tSNARE, Syntaxin5, which results in rapid re-distribution of Syntaxin5 to the ER. Recently, it was shown that SARS-CoV-2 infection disrupts the Golgi apparatus within 6–12 hours, while its replication was effectively inhibited by Retro-2 in cultured human lung cells. Yet, exactly how Retro-2 may influence ultrastructure of the Golgi apparatus and its function have not been thoroughly investigated. In this study, we characterized the effect of Retro-2 treatment on Golgi function and its ultrastructure using electron microscopy and EM tomography. Our results indicate that Retro-2 treatment significantly alters protein glycosylation at the Golgi without affecting secretion of either small or large cargos. Ultra-structural study of the Golgi revealed rapid accumulation of COPI-like vesicular profiles in the perinuclear area and a partial disassembly of the Golgi stack under electron microscope within 3–5 hours, suggesting altered Golgi organization in these cells. Retro-2 treatment in cells depleted of GRASP65/55, the two well-known Golgi stacking proteins, induced complete and rapid disassembly of the Golgi into individual cisterna. Taken together, these results suggest that Retro-2 profoundly alters Golgi structure and function to a much greater extent than previously anticipated.
Accurate Protein-Ligand Complex Structure Prediction using Geometric Deep Learning
Authors: Zhang Junfeng , He Kelei , Dong Tiejun , wu Jinhui
Published: March 2022

Understanding the structure of the protein-ligand complex is crucial to drug development. However, existing virtual structure measurement methods are mainly docking and its derived methods combined with deep learning, which have restricted performance and efficiency due to their sampling and scoring methodology. Here we show the complex structure can be directly predicted using our proposed LigPose based on geometric deep learning in an end-to-end manner. By representing the ligand and the protein as a complete graph, LigPose optimizes the 3-D structure of the complexes with their atom coordinates in the Euclidean space. LigPose achieved state-of-the-art performance on two major tasks in drug development, i.e., complex structure prediction and affinity estimation, indicating a promising paradigm of predicting the protein-ligand complex structures in drug development, with improved capacity far beyond popular docking tools.
IETIF: Intelligent Energy-aware Task Scheduling Technique in IoT/Fog Networks
Authors: Nazari Amin , Sohrabi Sakine , Mohammadi Reza , Nasiri Mohammad , Mansoorizadeh Muharram
Published: March 2022

Nowadays, with the advent of various communication technologies such as Internet of Things (IoT), a large volume of data is produced and needs to be processed in real-time. Fog computing is an appropriate solution to address the requirements of different types of IoT applications. In most cases, IoT applications consists a set of dependent task which can be separately processed in the heterogeneous Fog environment. Scheduling such dependent tasks in Fog environment is an NP-hard problem which needs a long time to be solved,making it unsuitable for real-time applications. In addition, reducing response time and energy consumption in Fog computing is an essential issue which should be taken into account in task scheduling algorithm. To address these challenges, we aim to propose a multiobjective task scheduling model to jointly improve energy efficiency and response time. To solve the model, we also propose an intelligent solution named IETIF which combines and levergaes the benefits of simulated annealing and NSGA-III algorithms. Simulation results show that IETIF outperforms the other state-of-the-art methods in terms of energy, response time and speedup.
High resolution micro-CT imaging in mice stroke models: from 3D detailed infarct characterization to automatic area segmentation
Authors: Gomes João R. , Pinto Raquel , Matula Jan , Gomez-Lazaro Maria , Sousa Mafalda , Zikmund Tomas , Kaiser Jozef
Published: March 2022

Characterization of brain infarct lesion in rodent models of stroke is crucial to assess the outcome of stroke therapies and to study the disease pathophysiology. However, so far it has been mostly performed by: 1) histological methods, a time-consuming process that lead to significant flaws; or 2) via MRI imaging, which is faster, yielding 3D information but at high costs. High-resolution micro-CT imaging became, in the last decade, a simple, fast, and cheaper solution, allowing 3D sample analysis. Here, we describe that high-resolution micro-CT, either using iodine/OsO4 as contrast agents, can be successfully applied for fine quantification and localization of lesion size and edema volume in preclinical stroke models. We successfully correlated this new approach with the standard histological method TTC. In transient MCAO mouse stroke model, we were able to identify/quantify large lesioned areas (segmented in core/penumbra), up to degenerated finer striatal myelinated fibers in a transient-ischemic-attack (TIA) mouse model, at different timepoints post-ischemia, through manual/automatic segmentation approaches (deep learning). Furthermore, whole brain 3D reconstructions allow brain atlas co-registration with specific affected brain areas. Hence, the presented methodology, through iodine/OsO4 micro-CT imaging, constitutes a valuable advance for precise and detailed assessment of stroke outcomes in preclinical animal studies.
Direction Stabilization and Simulation of an Aerial Delivery System with Ram-Air Parachute
Authors: Güven Kemal , Şamiloğlu Andaç Töre
Published: March 2022

In this study, a controller system to stabilize the direction of an aerial delivery system with Ram-Air Parachute is developed. First, a simulation platform is prepared in Matlab, Simulink. Simulink 6DOF vehicle model is used for simulations. The aerodynamic forces and moments on the vehicle are mathematically modelled and implemented. Control algorithms for regulation of yaw, yaw rate and descent rate are developed and tested. The roll rate and pitch rate are observed parameters to examine the flight stability.
Moxibustion Spatial Transcriptomics Reveals Aqp4 Gene Distribution and Transport to the Astrocyte Endfeet Around Lateral White Matter of Hypothalamus (LWMH) are Potential Therapeutic Targets for Cognitive Impairment in APP/PS1 Mice
Authors: Liu Shuqing , Li Hongying , Shen Yuan , Zhu Weikang , Wang Yong , Wang Junmeng , Zhang Ning , Li Chenyu , Yu Shuguang , Xie Lushuang , Wu Qiaofeng
Published: March 2022

Background
Aquaporin-4 (Aqp4), a predominantly aquaporin expressed on astrocytic endfeet, has been found to be potential targets for lymphatic clearance and transcytotic delivery in the disorder of glial lymphatic system and white matter fluid metabolism impairment such as Alzheimer's disease (AD). Moxibustion is an experience-based effective treatment for AD. Exploring the large amount of complex data of Aqp4 in the processing of moxibustion may screen and provide accurate targets for prevention, ultimately leading to improve treatment options for AD.
Methods
The Morris water maze (MWM) was used to verify the effect of moxibustion on APP/PS1mice. Wild type mice (WT) and APP/PS1 mice before and after treatment were used for spatial transcriptomics. Aqp4 expression and perivascular polarization were quantified. Pathway enrichment was used to analyze the alteration of perivascular astrocytes and Lateral White Matter of Hypothalamus (LWMH). Immunofluorescence and transmission electron microscopy were used for protein level validation and myelin morphology observation, respectively.
Results
MWM testing showed an improved cognitive function of APP/PS1 mice treated with moxibustion. Among white matter regions, LWMH region of periventricular white matter was the most obvious change area of Aqp4 gene in APP/PS1 mice, and moxibustion treatment can rescue this alteration. Aqp4 mRNA and AQP4 protein located around the cerebral vessels of APP/PS1 mice decreased significantly (P < 0.01), especially in LWMH area. Moreover, the Aqp4 mRNA transport capacity of astrocytes had a reduction (P < 0.05). Meanwhile, the ion transport function closely related to AQP4 in astrocytes was also disturbed. Finally, the abnormal expression of Aqp4 and the imbalance of ion homeostasis in LWMH area, recovered after moxibustion, was closely related to the myelin injury.
Conclusion
Aqp4 polarized distribution in LWMH area was found to be the potential target for treating glial lymphatic disorder and white matter fluid metabolism impairment. Myelin damage in LWMH may be the following pathogenesis, which further decline the learning and memory ability such as AD.
Combined impact of elevated arterial stiffness and left ventricular filling pressure on outcomes after off-pump coronary artery bypass grafting
Authors: Choi Jae-Sung , Oh Se Jin , Oh Sohee
Published: March 2022

Background: Brachial-ankle pulse wave velocity (baPWV) and early diastolic transmitral flow velocity to mitral annular tissue velocity (E/e’), markers of arterial stiffness and left ventricular (LV) filling pressure, respectively, have been associated with morbidity and mortality. We investigated their combined impact on postoperative complications and long-term survival of patients undergoing off-pump coronary artery bypass grafting (OPCAB). Methods: A cohort of 164 patients were divided into four groups: baPWV≤19m/s and E/e’≤15 (reference), baPWV>19m/s and E/e’≤15 (high-PWV-only), baPWV≤19m/s and E/e’>15 (high-E/e’-only), and baPWV>19 m/s and E/e’>15 (high-PWV-and-E/e’). Each group was compared with the reference group to analyze the odds ratios of postoperative complications and the Kaplan-Meier survival curves, and to identify the group representing an independent prognostic predictor. Results: The median age and follow-up duration were 66.2 years and 57.2 months, respectively. Postoperative acute kidney injury (POAKI) was higher in the high-PWV-only group and substantially higher in high-PWV-and-E/e’ group (adjusted odds ratio (OR)=4.8; 95% confidence interval (CI), 1.3-17.1; p=0.016 vs. OR=22.6; CI, 5.9–86.1; p<0.001). ORs of postoperative atrial fibrillation (POAF) and postoperative stroke/delirium (POSD) were significantly higher only in the high-PWV-and-E/e’ group. The 7-year survival rates differed across the groups (p<0.001). The high-E/e’-only and high-PWV-and-E/e’ groups showed significantly lower survival rates than the reference group (75.6% and 53.5% vs. 93.9%). After adjustment for covariates, however, only the high-PWV-and-E/e’ group turned out to be an independent predictor group for all-cause mortality. Conclusion: Concurrent elevation in PWV and E/e’ may independently affect not only the rates of POAKI, POAF, and POSD but also long-term survival after OPCAB.
Academic Half-Day or Noon Conference for the Win? A Multi-Center Case-Control Study Examining Conference Format and Trainee Exam Performance
Authors: DeBord Jessica , Shutak Chase , Schwartz Alan , Frohna John , Borman-Shoap Emily
Published: March 2022

BackgroundThe academic half-day curricular format has become increasingly common in residency programs nationwide over the past decade. Previous studies of the academic half-day have demonstrated improved attendance, satisfaction, well-being, and in-training exam scores. The authors’ aim was to determine whether participation in a pediatric residency program that employs the academic half-day impacts scores for the American Board of Pediatrics certifying exam or in-training exam. MethodsThis was a retrospective, multi-center, case control study. The authors recruited pediatric residency programs through the Association of Pediatric Program Directors Longitudinal Educational Assessment Research Network in 2018. Each site reported whether they deliver the majority of their structured curriculum via an academic half-day; they also submitted de-identified data for the graduating residency classes of 2015-2017 (United States Medical Licensing Examination Step 1, in-training exam, and board exam scores). Linear mixed-effects regression models were fit to predict exam scores from conference format, controlling for Step 1 score, class year, program size, setting, and clustering in programs. Results15/24 (62%) of invited programs participated, providing data for 523 residents. 9 programs (60%) were academic half-day programs comprising 297 residents (57%), and 6 (40%) were non-academic half-day programs comprising 226 residents (43%). The authors found no significant difference in in-training exam or American Board of Pediatrics certifying exam scores between residents participating in academic half-day programs and those participating in non-academic half-day programs.ConclusionsThis study suggests that pediatrics residents who train in programs with academic half-day curricula perform similarly to residents who train in programs without academic half-days on the in-training exam and American Board of Pediatrics certifying exams.
NOTCH2NLC GCC repeats are not expanded in Italian Amyotrophic Lateral Sclerosis patients
Authors: Manini Arianna , Gagliardi Delia , Meneri Megi , Antognozzi Sara , Bo Roberto Del , Comi Giacomo Pietro , Corti Stefania , Ronchi Dario
Published: March 2022

IntroductionRepeat expansions in genes other than C9orf72 and ATXN2 have been recently associated with Amyotrophic Lateral Sclerosis (ALS). Indeed, an abnormal number of GGC repeats in NOTCH2NLC has been recently reported in 0.7% of sporadic ALS patients from mainland China. This finding was not confirmed in an ALS cohort of subjects from Taiwan. As the involvement of expanded NOTCH2NLC alleles in ALS is debated, we addressed this point by evaluating NOTCH2NLC repeat expansions in an Italian cohort of ALS patients.MethodsA screening analysis of NOTCH2NLC GGC repeats was performed by repeat-primed polymerase chain reaction (RP-PCR) in a cohort of 350 probable/definite ALS Italian patients.ResultsMean age at onset was 60.7 years (SD 13.6), and 62.6% were males. Sporadic cases were 329 (94.0%), and most patients had a spinal onset (71.8%). None of our patients showed the typical sawtooth tail pattern on RP-PCR, thus excluding abnormal repeat expansion in NOTCH2NLC.DiscussionOverall, we suggest that NOTCH2NLC expanded alleles might be absent or at least extremely rare in ALS Italian patients. Further investigations in larger cohorts with different ethnic backgrounds are required to support the involvement of NOTCH2NLC in ALS.
Effects of in vitro storage temperature and duration time on the state and function of primary granulosa cells after isolated from human follicular fluid
Authors: Zhang Tongwei , Fan Huiying , Zhang Junya , Hu Jingyi , Yang Guang , He Qina , Bai Yucheng , He Jiahuan , Xu Ziwen , Yao Guidong
Published: March 2022

From the collection of human follicular fluid to the isolation of primary granulosa cells, the duration of these two time points is variable. And there is no specific experiment to explore which temperature will make the cell state better in subsequent experiments. In this study, the collected follicular fluid was divided into 7 groups: one fresh control group, three in vitro storage temperatures (4℃, Room Temperature, and 37℃) and two storage duration times (4h and 8h). After isolating the cells, they were cultured in vitro to evaluate their state and function. The results showed that granulosa cells of the fresh control group had better cell viability and steroid hormone secretion ability than the other treatment groups; with the prolongation of in vitro storage time, the cell viability and steroid hormone secretion ability have decreased to varying degrees; low-temperature in vitro storage is conducive to the maintenance of cell survival and steroid hormone secretion ability, which is also confirmed by the detection of ROS, which can reflect the oxidative stress state of cells. This study showed that after obtaining follicular fluid, the in vitro storage time should be shortened as much as possible, and stored at low temperature, which can keep cells maintain good activity and steroid hormone secretion ability, and reduce oxidative stress and aging. It is of great significance for improving the state of human primary granulosa cells after isolation and subsequent experiment, and it also has certain guiding significance for standardization experimental research programs.
Narrative Elaboration Makes Misinformation and Corrective Information Regarding COVID-19 More Believable
Authors: Greer Joanna , Fitzgerald Kaitlyn , Vijaykumar Santosh
Published: March 2022

Objective
People gather information about health topics from online channels oftentimes awash with misinformation. Investigating this problem during the COVID-19 pandemic is important, as the misinformation effect occurs when misleading details are embedded in narratives and questions. This pilot study investigated whether narrative elaboration increases believability in misinformation statements about COVID-19, and willingness to share these statements online.
Results
Results from our online survey (n = 80) demonstrated that narrative elaboration increased believability in both misinformation and accurate statements, with a more pronounced effect on younger adults. Future research may investigate cognitive vulnerabilities imposed by elaborate narratives embedded in online health misinformation with increased attention on developing misinformation resilience among younger adults.
C3aR costimulation enhances antitumor efficacy of CAR-T through promoting Th17 expansion and memory T phenotype
Authors: Lai Peilong , Chen Xiaomei , Wang Yulian , Wang Jinghua , Zhang Yuchen , Geng Suxia , Li Peng , Du Xin , Weng Jianyu , Pei Duanqing
Published: March 2022

Chimeric antigen receptor (CAR)-modified adoptive T-cell therapy is a promising immunotherapy for hematologic malignancies. However, the efficacy in extramedullary leukemia is still limited and new strategies with improved anti-tumor activity are highly needed. Since C3aR activation builds a bridge between innate immune and adaptive immune and it could trigger Th17 response, we hypothesized that C3aR incorporation as costimulatory domain would augment anti-tumor activity of CAR-T. To address this possibility, we introduced a genetically engineered construct, comprising the domain of C3aR into CAR-T cells. The generated BB-ζ-C3aR CAR-T exhibited potent cytolytic ability to eradicate various tumor cells expressing CD19 or BCMA in vitro. When administrated intravenously into the xenografts leukemia NCG mice who received CD19 + or BCMA + expressing tumor cells, BB-ζ-C3aR CAR-T cells reduced the tumor burden and improved the survival of mice. Of note, these BB-ζ-C3aR CAR-T cells could effectively eradicate subcutaneous CD19 + tumor cells, highlighting the potential therapy for extramedullary leukemia. Mechanistically, the BB-ζ-C3aR CAR-T cells preferred to exhibit tumor-killing Th17 phenotype and suppressed the tumor-tolerated Treg function. In addition, the induction of memory T cells phenotype in BB-ζ-C3aR CAR-T group indicated their long duration effects. Taken together, our findings suggest that the application of C3aR costimulation to boost CAR-T-cell activity is efficacious against aggressive tumor cells via Th17 expansion and memory T cell induction.
Role of the elastography strain ratio using transrectal ultrasonography in the diagnosis of prostate cancer and clinically significant prostate cancer
Authors: Yoo Jeong Woo , Koo Kyo Chul , Chung Byung Ha , Lee Kwang Suk
Published: March 2022

INTRODUCTIONThis study investigated the efficacy of the elastography strain ratio (ESR) as a predictor of prostate cancer (PCa) in targeted prostate biopsy.METHODSIn total, 257 patients who underwent magnetic resonance imaging-targeted biopsy were enrolled. Before biopsy, we placed regions of interest (zone A and B) in the lesion and levator ani. The ESR was measured as zone A/zone B. Multivariate analyses were performed to predict PCa and clinically significant PCa.RESULTSThere were 206 (71.5%) positive cancer lesions. No difference in digit rectal examination findings was found between patients with and without PCa. For predicting clinically significant PCa, an ESR ≥ 6.8 was significantly higher in the PCa (+) group than in the PCa (−) group (p < 0.001). The area under the receiver operating characteristic curve (AUC) for the conventional variables (model 1) plus the ESR was 0.845, which was significantly higher than that for model 1 (p = 0.001). In prostate imaging reporting and data system score 3 lesions, an ESR ≥ 4.6 was a significant predictor of PCa (p = 0.002). The AUC in model 1 plus the ESR was 0.856, which was significantly higher than that in model 1 alone (p = 0.017).CONCLUSIONSThe ESR is useful for predicting clinically significant PCa.
Earthquake sedimentary event record in Early Triassic in southeastern Sichuan Basin, SW China
Authors: Zeng Jianli , Zhang Xi , Zhang Tingshan
Published: March 2022

There are some macroscopic and microscopic sedimentary structures of seismic events in the outcrops in Lower Triassic Feixianguan Fm (T1f). and Jialingjiang Fm (T1j). in southeastern parts of Sichuan Basin. The following basic types of sedimentary structures could be observed: Soft-sediment liquefied deformation structures include curled deformation (sliding deformation structure," sausage structure") and microscopic folds (laminated plastic deformation). Seismites emerge in T1f1 and T1f2 in Baimiaozi section, Beibei, Chongqing, while in T1j2 at Longdongwan, Xuyong, Sichuan, as well as the same strata at Xingwen, Sichuan and Xishui, Guizhou. The sedimentary sequences of seismites in outcrops are clear, presenting the whole process of paleoearthquake from strong to weak. The author argues that the Sanjiang tectonic belt represented by the evolution of Yidun arc in the western Sichuan had strong activities at the west margin of the upper Yangtze plate, which may be related to the formation of seismites in the early Triassic. Earthquake activities and volcanic eruption can be triggered in large areas by the plate collision and the subduction of oceanic crust in the Sanjiang tectonic belt.
Ruptured Basilar Artery Perforator Aneurysm Definitely Diagnosed With Intraoperative Microsurgical Findings: Case Report and Literature Review
Authors: Kumagawa Takahiro , Otani Naoki , Kakei Yuzo , Otaki Ryo , Negishi Hiroshi , Suma Takeshi , Yoshino Atsuo
Published: March 2022

Background: Initial three-dimensional computed tomography angiography and cerebral angiography fail to identify any aneurysm in 20% of cases of subarachnoid hemorrhage. Basilar artery (BA) perforator aneurysm is rare and about 30–60% were not identified by initial angiography.Case presentation: A 71-year-old male was transferred with sudden onset of headache and loss of consciousness. Computed tomography demonstrated subarachnoid hemorrhage, but no ruptured aneurysm was detected. Repeat preoperative cerebral angiography indicated bifurcation aneurysm of the circumflex branch of the superior cerebellar artery perforator but microsurgical observation identified BA perforator aneurysm.Conclusions: If the location of the BA perforator aneurysm cannot be clearly identified, as in this case, repeat angiography should be considered, and the treatment strategy should be decided based on detailed consideration of the site of the aneurysm.
Is it feasible to measure intra-abdominal pressure using a balloon-tipped rectal catheter? – Results of a pilot study
Authors: Malbrain Manu L.N.G. , Staelens Anneleen S , Heymans Ann , Christiaens Sigrid , Regenmortel Niels , Gyselaers Wilfried
Published: March 2022

Background The gold standard to measure intra-abdominal pressure (IAP) is via intra-vesical measurement via the urinary bladder. However, this technique is restricted in ambulatory settings because of the risk of iatrogenic urinary tract infections. Rectal IAP measurements (IAPrect) may overcome these limitations, but requires validation. This pilot study aims to validate the IAPrect technique against standard intra-vesical IAP measurements (IAPves).Methods IAPrect using an air-filled balloon catheter and IAPves using Foley Manometer Low Volume were measured simultaneously in sedated and ventilated patients. Measurements were performed twice in different positions (supine and 45° elevated head of bed) and with an external abdominal velcro belt. ResultsSixteen patients were included. Seven were not eligible for analysis due to unreliable IAPrect values. IAPrect was significantly higher than IAPves for all positions (p<0.001) and the correlation between IAPves and IAPrect was not significant in any position (p≥0.25, bias 7.2mmHg, LOA -3.5 to 18mmHg). Repeatability of IAPrect was not reliable (r=0.539, p=0.315). For both techniques, measurements with the external abdominal velcro belt were significantly higher compared to those without (p<0.030).ConclusionsIAPrect has important shortcomings making IAP estimation using a rectal catheter unfeasible because the numbers cannot be trusted nor validated.
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications
Authors: Hao Jin , Liu Jiaxiang , Lin Hangzheng , Li Jin , Pan Wei , Feng Yang , Chen Ruizhe , Xiong Huimin , Sun Kaiwei , Liu Wanlu , Yang H.Howard , Ding Wanghui , Yang Jianfei , Hu Haoji , Zhang Yueling , Zhao Zeyu , Wu Huikai , Zheng Youyi , Fang Bing , Liu Zuozhu , Zhao Zhihe
Published: March 2022

Cone-beam computed tomography (CBCT) is one of the most widely used digital models in dental practices. A critical step in virtual dental treatment planning is to accurately delineate all tooth-bone structures from CBCT with high fidelity. Previous studies have established several methods for CBCT segmentation using deep learning. However, the inherent resolution discrepancy and the loss of occlusal information in CBCT largely limited its clinical applicability. Here, we present a Deep Dental Multimodal Analysis (DDMA) framework consisting of a CBCT segmentation model, an intraoral scan (IOS) segmentation model (the most accurate digital dental model), and a fusion model to generate 3D fused tooth-bone structures with high fidelity and accurate occlusal information. Our model was trained with a large-scale dataset with 503 CBCT and 28,559 IOS meshes manually annotated by human experts. For CBCT segmentation, our framework achieves an average Dice coefficient of 93.99%, significantly outperforming the baselines. For IOS segmentation, our model achieves a mIoU of 93.07% and 95.70% on the maxillary and mandible on a test dataset of 200 IOS meshes, 1.77% and 3.52% higher than the state-of-art method. In addition, our DDMA framework takes 20 to 25 minutes to generate the fused model, compared to over 5 hours by human experts. Notably, real-world clinical cases demonstrate that our model can visualize tooth-bone structures and relationships during the entire orthodontic treatment and predict clinical risks like dehiscence and fenestration. These findings demonstrate the potential of deep multimodal learning to improve the quality of digital dental models and guide clinical treatment and diagnostic decisions.
A path-based analysis of infected cell line and COVID-19 patient transcriptome reveals novel potential targets and drugs against SARS-CoV-2
Authors: Agrawal Piyush , Sambaturu Narmada , Olgun Gulden , Hannenhalli Sridhar
Published: March 2022

Most transcriptomic studies of SARS-CoV-2 infection have focused on differentially expressedgenes, which do not necessarily reveal the genes mediating the transcriptomic changes. In contrast,exploiting curated biological network, our PathExt tool identifies central genes from thedifferentially active paths mediating global transcriptomic response. Here we apply PathExt tomultiple cell line infection models of SARS-CoV-2 and other viruses, as well as to COVID-19patient-derived PBMCs. The central genes mediating SARS-CoV-2 response in cell lines wereuniquely enriched for ATP metabolic process, G1/S transition, leukocyte activation and migration.In contrast, PBMC response reveals dysregulated cell-cycle processes. In PBMC, the mostfrequently central genes are associated with COVID-19 severity. Importantly, relative todifferential genes, PathExt-identified genes show greater concordance with several benchmarkanti-COVID-19 target gene sets. We propose six novel anti-SARS-CoV-2 targets ADCY2, ADSL,OCRL, TIAM1, PBK, and BUB1, and potential drugs targeting these genes, such as Bemcentinib,Phthalocyanine, and Conivaptan.
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival
Authors: Alsubaie Najah , Raza Shan E Ahmed , Snead David , Rajpoot Nasir
Published: March 2022

Lung adenocarcinoma (LUAD) tumour tissue grows into variable morphological architecture called growth patterns (GPs). The GPs are clinically linked to the biological behaviour of the tumour. However, due to the complex heterogeneity of the tumours, there is high inter-and intra-observer variability in the pathologist reporting of GPs. In this paper, we propose a deep learning model for the automatic classification of the LUAD growth patterns in whole slide images (WSIs). The model is trained and tested on 78 cases of LUAD in the digitised WSI of the sample. For each case, all the growth patterns were automatically classified and quantified. Our multivariate analysis shows that lepidic and the micropapillary patterns are independent predictors for five-year survival (p<0.05). The proposed model splits our study cohort into short-and long-term survival with p = 0.009.
A participação do grupo PET Agronomia na divulgação e elucidação de professores e discentes do ensino médio sobre o curso de Agronomia
Authors: TAVARES Treyce Cristo , COSTA Ana , BATISTA Inácia , SILVA Francisco  Cardoso da , MIRANDA Phelipe Costa de , VIEIRA Eduardo Filipe Torres , CUNHA Gabriel Damasceno Ferreira , FIGUEIREDO Martinho Melo , TEIXEIRA Diego Ferreira , VASCONCELOS Gabriel Silva , NOGUEIRA Daniel Costa , PEREIRA Gisele Sousa , CARDOSO Bressa Dias , VIANA Rafael Gomes
Published: March 2022

O grupo do Programa de educação tutorial (PET) Agronomia da Universidade Federal Rural da Amazônia (UFRA) foi fundado em 1995 e mantém desde o início o objetivo principal: proporcionar, através da tutoria, o desenvolvimento da pesquisa, ensino e extensão. Esse objetivo é atingido em diversas atividades desenvolvidas pelos integrantes do grupo, podendo observar o cumprimento do tripé correspondente à extensão através de ações como as Feiras vocacionais, exposições e eventos em escolas da rede pública e particular de Belém e localidades vizinhas. Nestes eventos, os integrantes do grupo têm a oportunidade de divulgar para a comunidade local o curso de agronomia, a atuação profissional do Engenheiro Agrônomo, além da troca de experiências, o sanamento de dúvidas sobre a graduação e a exposição de atividades aos candidatos ao processo seletivo para assim possibilitar melhor embasamento à tomada de decisão dos mesmos. Por meio de ações como esta, o grupo PET também expõe o que é o PET e o que significa ser petiano dentro da universidade ampliando horizontes dentro da comunidade acadêmica para o futuro calouro, visando estabelecer e evidenciar o elo entre a universidade e a comunidade civil fortalecido pelas atividades extensionistas realizada pelos discentes, em conjunto com docentes e corpo técnico da instituição. As ações aconteceram no período dos anos 2017 a 2019 em escolas e feiras vocacionais. Observou-se grande interesse de estudantes do ensino médio atraídos principalmente pela exposição de insetos e plantas, os quais em grande parte nem sequer sabiam a atuação do curso como, por exemplo, que é um curso de engenharia, que podem atuar na área de biológicas, produção animal e ciências humanas voltadas a área agrária. Foi observado também que muitos estudantes se inclinaram a seguir esta área como área de atuação profissional.
Engaging with the State. Illegalized migrants, welfare institutions and the law in French-Speaking Belgium
Authors: Andreetta Sophie
Published: March 2022

By highlighting informal strategies and solidarities on the one hand, and protests on the other, current studies of citizenship and illegalized migration describe two main forms of political subjectivities among illegalized migrants: ‘without’ the state or ‘against’ it. In contrast, this article unpacks how migrants make use of state laws and institutions, voice expectations, and pursue their claims using official venues – in short, how they act ‘with’ the state. It builds on ethnographic fieldwork on illegalized migrants’ welfare requests in French-speaking Belgium and the various sets of actors involved in assessing or furthering their cases. Migrants’ discourses and expectations of the welfare office provide insights into their understandings of the state, highlight the crucial role of immigration lawyers in brokering cases, and ultimately allow for a more nuanced reading of the idea that welfare dependency leads to deportability. On a theoretical level, this article contributes to ongoing debates in the study of statehood and in migration studies, showing how procedural fairness can be a central aspect of migrants’ relationship to and expectations of the state, and how migrants’ strategies leading towards inclusion can be formal ones, based on existing state laws and institutions.
A note on the identity module in $c=0$ CFTs
Authors: He Yifei , Saleur Hubert
Published: March 2022

It has long been understood that non-trivial Conformal Field Theories
(CFTs) with vanishing central charge (c=0c=0)
are logarithmic. So far however, the structure of the identity module –
the (left and right) Virasoro descendants of the identity field – had
not been elucidated beyond the stress-energy tensor
TT
and its logarithmic partner tt
(the solution of the ``c\to 0c→0
catastrophe’’). In this paper, we determine this structure together with
the associated OPE of primary fields up to level
h=\bar{h}=2h=h‾=2
for polymers and percolation CFTs. This is done by taking the
c\to 0c→0
limit of O(n)O(n)
and Potts models and combining recent results from the bootstrap with
arguments based on conformal invariance and self-duality. We find that
the structure contains a rank-3 Jordan cell involving the field
T\bar{T}TT‾,
and is identical for polymers and percolation. It is characterized in
part by the common value of a non-chiral logarithmic coupling
a_0=-\frac{25}{48}a0=−2548.
Strengthening Service Performance in Indonesian Public Sector
Authors: Rahmasari Aninda , Herlina Maria Grace , Syahchari Dicky Hida
Published: March 2022

Quality service has become increasingly important in the public sector. Government services and their quality requirements are developing in response to changes in customers’ needs and expectations. The primary objective of the research was to strengthen public sector performance. It used a sustainable service view by examining professional public service as a mediating variable of service-oriented competence, socio-emotional ability, and workplace spirituality on sustainable service performance in Indonesia. A structured questionnaire was sent to public sector employees using a non-probability sampling method with convenience sampling. The Structural Equation Modeling (SEM) was used to test the research hypotheses using the SmartPLS version 3.2.9. After assessing the measurement model, the results show that service-oriented competence, socio-emotional ability, and workplace spirituality affect sustainable service performance significantly. Furthermore, the professional public service strengthens the relationship of service-oriented competence, socio-emotional ability, and workplace spirituality on sustainable service performance. It also implies a novel result by demonstrating that professional public service can mediate service-oriented competence, socio-emotional ability, and workplace spirituality toward sustainable service performance. Although hard skills are essential for knowledge of service-oriented competence, the research findings show that soft skills, particularly socio-emotional ability, will assure the public sector’s sustainable service performance. Therefore, soft skill development is very important for enhancing socio-emotional abilities.
Pelatihan Pembuatan Robot Line Follower untuk Meningkatkan Pengetahuan Robotika pada Siswa SMK Negeri I Kramatwatu
Authors:   Fakultas Teknologi Informasi UNSERA, Siswanto Siswanto , Triono Sigit Haris ,   Fakultas Teknologi Informasi UNSERA
Published: March 2022

Robotics is one of the right media to introduce the field of technology to students because it can help in the development of thinking, sharpening capabilities in thinking, and the ability to form concepts. The development of robot technology is currently experiencing a rapid increase so it is important for students to gain robotics knowledge to face challenges in the era of industrial revolution 4.0. But not all schools have the facilities and human resources for learning robotics. SMK Negeri I Kramatwatu in the Serang area are currently studying robot technology but only in theory, so the results are not effective. This Community Service activity is carried out as an effort to improve the knowledge and skills of students at SMK Negeri I Kramatwatu in the form of training in making Line Follower robots, a type of mobile robot whose mission is to detect and follow a guideline that has been created in the field of trajectories. Line Follower Robot was chosen as training material because this robot is one type of automatic robot that is not too complicated in its manufacture. In this training, the participants were divided into 4 groups, each guided by one mentor. The results of community service show students' enthusiasm and desire to obtain knowledge in making Line Follower robots. This can be seen when tested on robots that have been made by 4 groups of participants, namely from 4 groups of participants 3 groups have succeeded in making a Line Follower robot that can run automatically in following the trajectory
Peningkatan Produktivitas UMKM Kue Kering dan Tik Tuk di Desa Cipanas Melalui Program Pendampingan Community Development
Authors:   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Himawan Donny , Cherrika Felicia ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Putri Indira ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Michael Sebastian ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Risyad Sechan ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Fransiska Thania ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Hartadinata Wirya ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Hidayat Athalia Ariati ,   Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339
Published: March 2022

This article aims to describe community development activities through an assistance program for micro-business in Kampung Ciketug, Desa Sindangjaya, Kabupaten Cianjur, Jawa Barat. Dry Macaroni is one of our partner’s discontinued products due to financial issues. The problems faced by our partner includes: (1) Developing new market for new product; (2) Our partner does not have brand name and logo for their product, and uses traditional process for sealing the product; (3) Product quality is inconsistent; and (4) Our partner have not realized the importance of managing finance and bookkeeping. The solution to the problems are: (1) expanding offline marketing channel and setting up online marketing channel; (2) creating brand name and logo for macaroni products, and also using sealer for sealing process; (3) setting up Standard Operating Procedure for production; (4) training bookkeeping and making simple financial statement. Overall, the solution has been successfully accepted and applied by our partners. The problems faced by our partners can still be resolved, but our partner is still progressing to get used to the application of the solution.
Resistome characterization of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli isolated from wastewater treatment utilities in Oregon
Authors: Easler Maeghan , Cheney Clinton , Johnson Jared D. , Zadeh Marjan Khorshidi , Nguyen Jacquelynn N. , Yiu Sue Yee , Waite-Cusic Joy , Radniecki Tyler S. , Navab-Daneshmand Tala
Published: March 2022

Infections resistant to broad spectrum antibiotics due to the emergence of extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae is of global concern. This study characterizes the resistome (i.e., entire ecology of resistance determinants) of 11 ESBL-producing Escherichia coli isolates collected from eight wastewater treatment utilities across Oregon. Whole genome sequencing was performed to identify the most abundant antibiotic resistance genes including ESBL-associated genes, virulence factors, as well as their sequence types. Moreover, the phenotypes of antibiotic resistance were characterized. ESBL-associated genes (i.e., blaCMY, blaCTX, blaSHV, blaTEM) were found in all but one of the isolates with five isolates carrying two of these genes (four with blaCTX and blaTEM; one with blaCMY and blaTEM). The ampC gene and virulence factors were present in all the E. coli isolates. Across all the isolates, 31 different antibiotic resistance genes were identified. Additionally, all E. coli isolates harbored phenotypic resistance to beta-lactams (penicillins and cephalosporins), while 8 of the 11 isolates carried multidrug resistance phenotypes (resistance to three or more classes of antibiotics). Findings highlight the risks associated with the presence of ESBL-producing E. coli isolates in wastewater systems that have the potential to enter the environment and may pose direct or indirect risks to human health.