bluuebunny/crossref_metadata_2025_split huggingface dataset:
Footshock-Induced Abstinence from Compulsive Methamphetamine Self-administration in Rat Model Is Accompanied by Increased Hippocampal Expression of Cannabinoid Receptors (CB1 and CB2)
Authors: Jayanthi Subramaniam , Peesapati Ritvik , McCoy Michael T. , Ladenheim Bruce , Cadet Jean Lud 
Published: January 2022

AbstractMethamphetamine (METH) use disorder (MUD) is characterized by compulsive and repeated drug taking despite negative life consequences. Large intake of METH in humans and animals is accompanied by dysfunctions in learning and memory processes. The endocannabinoid system (ECS) is known to modulate synaptic plasticity and cognitive functions. In addition, the ECS has been implicated in some of the manifestations of substance use disorders (SUDs). We therefore sought to identify potential changes in the expression of various enzymes and of the receptors (CB1 and CB2) that are members of that system. Herein, we used a model of METH self-administration (SA) that includes a punishment phase (footshocks) that helps to separate rats into a compulsive METH phenotype (compulsive) that continues to take METH and a non-compulsive METH (abstinent) group that suppressed or stopped taking METH. Animals were euthanized 2 h after the last METH SA session and their hippocampi were used to measure mRNA levels of cannabinoid receptors (CB/Cnr), as well as those of synthesizing (DAGL-A, DAGL-B, NAPEPLD) and metabolizing (MGLL, FAAH, PTGS2) enzymes of the endocannabinoid cascade. Non-compulsive rats exhibited significant increased hippocampal expression of CB1/Cnr1 and CB2/Cnr2 mRNAs. mRNA levels of the synthesizing enzyme, DAGL-A, and of the metabolic enzymes, MGLL and FAAH, were also increased. Non-compulsive rats also exhibited a significant decrease in hippocampal Ptgs2 mRNA levels. Taken together, these observations implicate the hippocampal endocannabinoid system in the suppression of METH intake in the presence of adverse consequences.
Mannose enhances the radio-sensitivity of esophageal squamous cell carcinoma with low MPI expression by suppressing glycolysis
Authors: Luo Hui , Wang Xiaohui , Wang Yunhan , Dan Qinfu , Ge Hong 
Published: January 2022

Abstract
Background
To investigate the effect of mannose on radio-sensitivity of human esophageal squamous cell carcinoma (ESCC) cell line and its possible mechanism.

Methods
The expression of mannose phosphate isomerase (MPI) in human esophageal cancer cell lines were detected by Western blot. The inhibitory effect of mannose on human esophageal cancer cell lines were observed by MTT assay. Plate clone formation assay was performed to investigate the efficacy of mannose on radio-sensitivity of human esophageal cancer cells. The apoptosis rates of tumor cells treated with mannose and/or radiation therapy was calculated by flow cytometry. Furthermore, we analyzed intracellular metabolites using liquid chromatography mass spectrometry to identify selective sugar metabolites.

Results
MPI expression was various in human esophageal cancer cells. KYSE70 cells was associated with the highest MPI expression whereas KYSE450 cells had the lowest MPI expression level. When administrated with 11.1 mM/L mannose, the same inhibitory effect was observed in both KYSE70 and KYSE450 cell lines. Moreover, the inhibitory effect was significant on KYSE450 cell lines with an increased mannose concentration. The application of 11.1 mM/L mannose could significantly enhance the radio-sensitivity of KYSE450 cell line; and tumor cell apoptosis rate was also increased. However, there was limited efficacy of mannose on the radio-sensitivity and apoptosis rate of KYSE70 cell line. Additionally, intracellular metabolites analyzation revealed that glycolysis could be disturbed by mannose when combined with radiation therapy in esophageal cancer cells.

Conclusion
In esophageal cancer cell lines with low MPI expression, the administration of mannose was associated with enhanced radio-sensitivity.
Cerebral vasculitis caused by Talaromyces marneffei and Aspergillus niger in a HIV-positive patient: a case report and literature review
Authors: Gao Yidong , Qu Man , Song Chao , Yin Lufeng , Zhang Min 
Published: January 2022

AbstractCerebral vasculitis is a long-standing but flourishing and fadeless research topic. Infections are a frequent cause of cerebral vasculitis, vital to diagnose due to involvement of specific anti-infection treatments. A 65-year-old man visited the hospital for his neurological symptoms without obvious inducements. After admission, radiological examination and comprehensive conventional microbiological tests (CMTs) revealed suspected intracranial infectious vasculitis. Metagenomic next-generation sequencing (mNGS) and reverse transcription-polymerase chain reaction further confirmed that his cerebral vasculitis was caused by Talaromyces marneffei (T. marneffei) and Aspergillus niger (A. niger) co-infection. The patient’s final diagnosis changed from initial herpetic encephalitis, due to the past history of cephalosome and facial herpes and non-significant antiviral therapeutic effects, to fungal cerebral vasculitis. The patient was discharged after use of targeted antifungal therapies on day 18 of his admission, and his associated symptoms disappeared completely at follow-up 3 weeks later. We first illustrated the presence of uncommon cerebral vasculitis caused by T. marneffei and A. niger in a human immunodeficiency virus-positive patient. In clinically suspected patients with infectious cerebral vasculitis, mNGS should be performed to detect potential pathogens if CMTs may not provide useful pathogenic clues, highlighting the importance of mNGS in the diagnosis and treatment of infectious diseases.
From Bench to the Clinic: The Path to Translation of Nanotechnology-Enabled mRNA SARS-CoV-2 Vaccines
Authors: Lopez-Cantu Diana O. , Wang Xichi , Carrasco-Magallanes Hector , Afewerki Samson , Zhang Xingcai , Bonventre Joseph V. , Ruiz-Esparza Guillermo U. 
Published: January 2022

AbstractDuring the last decades, the use of nanotechnology in medicine has effectively been translated to the design of drug delivery systems, nanostructured tissues, diagnostic platforms, and novel nanomaterials against several human diseases and infectious pathogens. Nanotechnology-enabled vaccines have been positioned as solutions to mitigate the pandemic outbreak caused by the novel pathogen severe acute respiratory syndrome coronavirus 2. To fast-track the development of vaccines, unprecedented industrial and academic collaborations emerged around the world, resulting in the clinical translation of effective vaccines in less than one year. In this article, we provide an overview of the path to translation from the bench to the clinic of nanotechnology-enabled messenger ribonucleic acid vaccines and examine in detail the types of delivery systems used, their mechanisms of action, obtained results during each phase of their clinical development and their regulatory approval process. We also analyze how nanotechnology is impacting global health and economy during the COVID-19 pandemic and beyond.
A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger
Authors: Aaij R. , Adinolfi M. , Aiola S. , Akar S. , Albrecht J. , Alexander M. , Amato S. , Amhis Y. , Archilli F. , Bala M. , Bassi G. , Bian L. , Blago M. P. , Boettcher T. , Boldyrev A. , Borghi S. , Rodriguez A. Brea , Calefice L. , Gomez M. Calvo , Pérez D. H. Cámpora , Cardini A. , Cattaneo M. , Chobanova V. , Ciezarek G. , Vidal X. Cid , Cobbledick J. L. , Coelho J. A. B. , Colombo T. , Contu A. , Couturier B. , Craik D. C. , Currie R. , d’Argent P. , De Cian M. , Derkach D. , Dordei F. , Dorigo M. , Dufour L. , Durante P. , Dziurda A. , Dzyuba A. , Easo S. , Esen S. , Declara P. Fernandez , Filippov S. , Fitzpatrick C. , Frank M. , Gandini P. , Gligorov V. V. , Golobardes E. , Graziani G. , Grillo L. , Günther P. A. , Hansmann-Menzemer S. , Hennequin A. M. , Henry L. , Hill D. , Hollitt S. E. , Hu J. , Hulsbergen W. , Hunter R. J. , Hushchyn M. , Jashal B. K. , Jones C. R. , Klaver S. , Klimaszewski K. , Kopecna R. , Krzemien W. , Kucharczyk M. , Lane R. , Lazzari F. , Gac R. Le , Li P. , Lopes J. H. , Martinez M. Lucio , Lupato A. , Lupton O. , Lyu X. , Machefert F. , Madejczyk O. , Malde S. , Marchand J. F. , Mariani S. , Benito C. Marin , Santos D. Martinez , Vidal F. Martinez , Matev R. , Mazurek M. , Mitreska B. , Mitzel D. S. , Morello M. J. , Mu H. , Muzzetto P. , Naik P. , Needham M. , Neri N. , Neufeld N. , Nolte N. S. , O’Hanlon D. , Oyanguren A. , Altarelli M. Pepe , Petrucci S. , Petruzzo M. , Pica L. , Pisani F. , Piucci A. , Polci F. , Poluektov A. , Polycarpo E. , Prouve C. , Punzi G. , Quagliani R. , Trejo R. I. Rabadan , Pernas M. Ramos , Rangel M. S. , Ratnikov F. , Raven G. , Reiss F. , Renaudin V. , Robbe P. , Ryzhikov A. , Santimaria M. , Saur M. , Schiller M. , Schwemmer R. , Sciascia B. , Solomin A. , Suljik F. , Skidmore N. , Sokoloff M. D. , Spradlin P. , Stahl M. , Stahl S. , Stevens H. , Sun L. , Szabelski A. , Szumlak T. , Szymanski M. , Tou D. Y. , Tuci G. , Usachov A. , Canudas N. Valls , Gomez R. Vazquez , Vecchi S. , Vesterinen M. , Vilasis-Cardona X. , Bruch D. Vom , Wang Z. , Wojton T. , Whitehead M. , Williams M. , Witek M. , Xie Y. , Xu A. , Yin H. , Zdybal M. , Zenaiev O. , Zhang D. , Zhang L. , Zhu X. ,   The LHCb Collaboration
Published: January 2022

AbstractThe Large Hadron Collider beauty (LHCb) experiment at CERN is undergoing an upgrade in preparation for the Run 3 data collection period at the Large Hadron Collider (LHC). As part of this upgrade, the trigger is moving to a full software implementation operating at the LHC bunch crossing rate. We present an evaluation of a CPU-based and a GPU-based implementation of the first stage of the high-level trigger. After a detailed comparison, both options are found to be viable. This document summarizes the performance and implementation details of these options, the outcome of which has led to the choice of the GPU-based implementation as the baseline.
Three Novel Variants of CEP290 and CC2D2DA and a Link Between ZNF77 and SHH Signaling Pathway Are Found in Two Meckel-Gruber Syndrome Fetuses
Authors: Hong Zhidan , He Xuanyi , Yu Fang , Liu Huanyu , Zhang Xiaoli , Zhang Yuanzhen 
Published: January 2022

AbstractMeckel-Gruber syndrome (MKS) is a rare lethal autosomal recessive inherited disorder. Missed diagnosis might happen in clinical works due to an unclear genotype–phenotype correlation. We analyzed two families visiting our center; the parents are normal; each of the family aborted a fetus at 12WG. Following ultrasonography and pathological examination, both were diagnosed as MKS. Whole exome sequencing identified a compound heterozygous of two novel variants of CEP290 and a heterozygous of a novel variant of CC2D2A. Frameshift mutations in ZNF77 were also detected. Western blot analyzing whole-brain tissue showed that the expression of ZNF77, CC2D2A, and CEP290 was enhanced. HEK293T transfected with over-expression wildtype/mutated ZNF77 plasmid showed that SHH was increased in wildtype ZNF77 cells, while SHH and CC2D2A were increased in mutated ZNF77 cells. Our research provided two novel pathogenic variants of CEP290 and CC2D2A and suggested that ZNF77 might promote the expression of CC2D2A and regulate the amount of SHH.
Comparison of Therapeutic Outcomes of Transabdominal Pararectus Approach and Modified Stoppa Approach in Treating Pelvic and Acetabular Fractures
Authors: Liu Wei , Yang Hongbin , Yu Zhenyan , Zhao Yu , Hu Jigong , Li Benyang , Zhu Yechong 
Published: January 2022

Abstract
Objective
Pelvic and acetabular fractures are common orthopedic diseases, and this research was to investigate the therapeutic effects of pararectus and Stoppa approaches in treating complex pelvic acetabular fractures.

Methods
The clinical information of patients with pelvic and acetabular fractures treated surgically in Lu'an Hospital of Chinese medicine, China from January 2016 to April 2020 was analyzed. There were 30 cases each in the transabdominal pararectus approach and modified Stoppa approach groups. The operation time, incision length, blood loss, and postoperative complications of both groups were recorded according to the Merle d'Aubigné-Postel hip score. The recovery of hip function was evaluated 6 months after surgery, and the clinical and therapeutic efficacies of the two groups were compared.

Results
The patients were followed up for 6–7 months (average, 6.5 months). The average operation time, incision length, and blood loss in the pararectus and Stoppa approach groups were 180 ± 41.105 min, 8.667 ± 1.373 cm, 259.667 ± 382 mL and 202.667 ± 32.793 min, 11.600 ± 1.958 cm, and 353.667 ± 590 mL, respectively. The satisfactory rate of fracture reduction, excellent and good rate of hip function score, and incidence of complications were 28/30, 27/30, 1/30 and 25/30, 25/30, 3/30, respectively. There were significant differences in operation time, incision length, and blood loss between the two groups (p < 0.05). However, there was no significant difference in the excellent and good rate of hip function score, fracture reduction satisfaction, and complication rate between both groups (p > 0.05).

Conclusions
The pararectus approach can reveal the better anatomical structure of the pelvis and acetabulum, such as the corona mortis and quadrilateral plate, for conducive fracture reduction and fixation. It can also effectively shorten the length of the incision, reduce operative blood loss, and shorten the operation time. It is a better choice for the clinical treatment of complex pelvic and acetabular fractures.
Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders
Authors: Ni Qin , Fan Zhuo , Zhang Lei , Zhang Bo , Zheng Xiaochen , Zhang Yuping 
Published: January 2022

AbstractHuman activity recognition (HAR) has received more and more attention, which is able to play an important role in many fields, such as healthcare and intelligent home. Thus, we have discussed an application of activity recognition in the healthcare field in this paper. Essential tremor (ET) is a common neurological disorder that can make people with this disease rise involuntary tremor. Nowadays, the disease is easy to be misdiagnosed as other diseases. We have combined the essential tremor and activity recognition to recognize ET patients’ activities and evaluate the degree of ET for providing an auxiliary analysis toward disease diagnosis by utilizing stacked denoising autoencoder (SDAE) model. Meanwhile, it is difficult for model to learn enough useful features due to the small behavior dataset from ET patients. Thus, resampling techniques are proposed to alleviate small sample size and imbalanced samples problems. In our experiment, 20 patients with ET and 5 healthy people have been chosen to collect their acceleration data for activity recognition. The experimental results show the significant result on ET patients activity recognition and the SDAE model has achieved an overall accuracy of 93.33%. What’s more, this model is also used to evaluate the degree of ET and has achieved the accuracy of 95.74%. According to a set of experiments, the model we used is able to acquire significant performance on ET patients activity recognition and degree of tremor assessment.
GLE-Net: A Global and Local Ensemble Network for Aerial Object Detection
Authors: Liao Jiajia , Liu Yujun , Piao Yingchao , Su Jinhe , Cai Guorong , Wu Yundong 
Published: January 2022

AbstractRecent advances in camera-equipped drone applications increased the demand for visual object detection algorithms with deep learning for aerial images. There are several limitations in accuracy for a single deep learning model. Inspired by ensemble learning can significantly improve the generalization ability of the model in the machine learning field, we introduce a novel integration strategy to combine the inference results of two different methods without non-maximum suppression. In this paper, a global and local ensemble network (GLE-Net) was proposed to increase the quality of predictions by considering the global weights for different models and adjusting the local weights for bounding boxes. Specifically, the global module assigns different weights to models. In the local module, we group the bounding boxes that corresponding to the same object as a cluster. Each cluster generates a final predict box and assigns the highest score in the cluster as the score of the final predict box. Experiments on benchmarks VisDrone2019 show promising performance of GLE-Net compared with the baseline network.
A Novel Design of Morlet Wavelet to Solve the Dynamics of Nervous Stomach Nonlinear Model
Authors: Sabir Zulqurnain , Raja Muhammad Asif Zahoor , Mahmoud S. R. , Balubaid Mohammed , Algarni Ali , Alghtani Abdulaziz H. , Aly Ayman A. , Le Dac-Nhuong 
Published: January 2022

AbstractThe present study introduces a novel design of Morlet wavelet neural network (MWNN) models to solve a class of a nonlinear nervous stomach system represented with governing ODEs systems via three categories, tension, food and medicine, i.e., TFM model. The comprehensive detail of each category is designated together with the sleep factor, food rate, tension rate, medicine factor and death rate are also provided. The computational structure of MWNNs along with the global search ability of genetic algorithm (GA) and local search competence of active-set algorithms (ASAs), i.e., MWNN-GA-ASAs is applied to solve the TFM model. The optimization of an error function, for nonlinear TFM model and its related boundary conditions, is performed using the hybrid heuristics of GA-ASAs. The performance of the obtained outcomes through MWNN-GA-ASAs for solving the nonlinear TFM model is compared with the results of state of the article numerical computing paradigm via Adams methods to validate the precision of the MWNN-GA-ASAs. Moreover, statistical assessments studies for 50 independent trials with 10 neuron-based networks further authenticate the efficacy, reliability and consistent convergence of the proposed MWNN-GA-ASAs.
Correlation between ABO Blood Group Phenotype and the Risk of COVID-19 Infection and Severity of Disease in a Saudi Arabian Cohort
Authors: Jawdat Dunia , Hajeer Ali , Massadeh Salam , Aljawini Nora , Abedalthagafi Malak S. , Alaamery Manal 
Published: January 2022

Abstract
Background
Disease severity among patients infected with SARS-CoV-2 varies remarkably. Preliminary studies reported that the ABO blood group system confers differential viral susceptibility and disease severity caused by SARS-CoV-2. Thus, differences in ABO blood group phenotypes may partly explain the observed heterogeneity in COVID-19 severity patterns, and could help identify individuals at increased risk. Herein, we explored the association between ABO blood group phenotypes and COVID-19 susceptibility and severity in a Saudi Arabian cohort.

Methods
In this retrospective cohort study, we performed ABO typing on a total of 373 Saudi patients infected with SARS-CoV-2 and conducted association analysis between ABO blood group phenotype and COVID-19 infection severity. We then performed gender-stratified analysis by dividing the participating patients into two groups by gender, and classified them according to age.

Results
The frequencies of blood group phenotypes A, B, AB and O were 27.3, 23.6, 5.4 and 43.7%, respectively. We found that blood group phenotype O was associated with a lower risk of testing positive for COVID-19 infection (OR 0.76 95% CI 0.62–0.95, p = 0.0113), while blood group phenotype B was associated with higher odds of testing positive (OR 1.51 95% CI 1.17–1.93, p = 0.0009). However, blood group phenotype B was associated with increased risk in the mild and moderate group but not the severe COVID-19 infection group. Blood group phenotype O was protective in all severity groups.

Conclusion
Our findings provide evidence that blood group phenotype B is a risk for COVID-19 disease while blood group phenotype O is protective from COVID-19 infection. However, further studies are necessary to validate these associations in a larger sample size and among individuals of different ethnic groups.
KaKs_Calculator 3.0: Calculating Selective Pressure on Coding and Non-Coding Sequences
Authors: Zhang Zhang 
Published: January 2022

Abstract
KaKs_Calculator 3.0 is an updated toolkit that is capable of calculating selective pressure on both coding and non-coding sequences. Similar to the nonsynonymous/synonymous substitution rate ratio for coding sequences, selection on non-coding sequences can be quantified as the ratio of non-coding nucleotide substitution rate to synonymous substitution rate of adjacent coding sequences. As testified on empirical data, KaKs_Calculator 3.0 shows effectiveness to detect the strength and mode of selection operated on molecular sequences, accordingly demonstrating its great potential to achieve genome-wide scan of natural selection on diverse sequences and identification of potentially functional elements at a whole-genome scale. The package of KaKs_Calculator 3.0 is freely available for academic use only at https://ngdc.cncb.ac.cn/biocode/tools/BT000001.
A Normative Brain MRI Database of Neurotypical Participants from 5 to 90 Years of Age
Authors: Treit Sarah , Rickard Julia N. , Stolz Emily , Solar Kevin , Seres Peter , Emery Derek , Beaulieu Christian 
Published: January 2022

ABSTRACT:Brain magnetic resonance imaging (MRI) studies of clinical populations often require comparison to a normative ‘control’ cohort, usually of similar age/sex, scanned with the same protocol. The goal here was to create a normative brain MRI database of common quantitative methods to be used in comparisons with a variety of neurological disorders across the lifespan. 378 neurotypical controls (aged 5–90 years; median 31 years; 216 females, 162 males) completed brain MRI, cognitive testing, clinical assessment, and a demographics questionnaire. In addition, this large normative sample will yield novel insight into healthy brain development and aging.
THE DISCONTINUITY PROBLEM
Authors: BRATTKA VASCO 
Published: January 2022

AbstractMatthias Schröder has asked the question whether there is a weakest discontinuous problem in the topological version of the Weihrauch lattice. Such a problem can be considered as the weakest unsolvable problem. We introduce the discontinuity problem, and we show that it is reducible exactly to the effectively discontinuous problems, defined in a suitable way. However, in which sense this answers Schröder’s question sensitively depends on the axiomatic framework that is chosen, and it is a positive answer if we work in Zermelo–Fraenkel set theory with dependent choice and the axiom of determinacy
$\mathsf {AD}$
. On the other hand, using the full axiom of choice, one can construct problems which are discontinuous, but not effectively so. Hence, the exact situation at the bottom of the Weihrauch lattice sensitively depends on the axiomatic setting that we choose. We prove our result using a variant of Wadge games for mathematical problems. While the existence of a winning strategy for Player II characterizes continuity of the problem (as already shown by Nobrega and Pauly), the existence of a winning strategy for Player I characterizes effective discontinuity of the problem. By Weihrauch determinacy we understand the condition that every problem is either continuous or effectively discontinuous. This notion of determinacy is a fairly strong notion, as it is not only implied by the axiom of determinacy
$\mathsf {AD}$
, but it also implies Wadge determinacy. We close with a brief discussion of generalized notions of productivity.