bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hindfoot motion analysis by subtalar compensation and ankle osteoarthritis stage using a multi-segment foot model
Authors: Kang Ho Won , Kim Dae-Yoo , Park Gil-Young , Kim Jung Min , Lee Dong-Oh , Lee Dong Yeon 
Published: November 2021

Abstract
Background

The biomechanics of the hindfoot in ankle osteoarthritis (OA) are not yet fully understood. Here we aimed to identify hindfoot motion in a gait analysis using a multi-segment foot model (MFM) according to ankle OA stage or hindfoot alignment by the presence of subtalar compensation.
Methods

We retrospectively reviewed the medical records, simple radiographs, and gait MFM data of 54 ankles admitted to our hospital for the treatment of advanced ankle OA. Spatiotemporal gait parameters and three-dimensional motions of the hindfoot segment were analyzed according to sex, age, body mass index, Takakura classification, and presence of subtalar compensation.
Results

No spatiotemporal gait parameters differed significantly according to the presence of subtalar compensation or ankle OA stage. Only normalized step width differed significantly (P = .028). Average hindfoot motion (decompensation versus compensation) did not differ significantly between the sagittal and transverse planes. Graphing of the coronal movement of the hindfoot revealed collapsed curves in both groups that differed significantly. Compared with Takakura stages 3a, 3b, and 4, cases of more advanced stage 3b had a smaller sagittal range of motion than those of stage 3a (P = .028). Coronal movement of the hindfoot in cases of Takakura stage 3a/3b/4 showed a relatively flat pattern.
Conclusions

The spatiotemporal parameters were not affected by the alignment state of the heel resulting from subtalar compensation. The sagittal range of hindfoot motion decreased in patients with advanced ankle OA. Once disrupted, the coronal movement of the subtalar joint in ankle OA did not change regardless of ankle OA stage or hindfoot compensation state.
Monitoring and Prediction of Climate Change Impact on 24-h Probable Maximum Precipitation in the Southeast of Caspian Sea
Authors: Afzali-Gorouh Zahra , Faridhosseini Alireza , Bakhtiari Bahram , Mosaedi Abolfazl , Salehnia Nasrin 
Published: November 2021

Abstract
Due to the impacts of climate change on Probable Maximum Precipitation (PMP), and its importance in designing hydraulic structures, PMP estimation is crucial. In this study, the effect of climate change on 24-h probable maximum precipitation (PMP24) was investigated in a part of the Qareh-Su basin located in the Southeast of Caspian Sea. So far, there are no studies emphasizing on climate change impact on hydrological (physical) PMP values have been conducted in the study area. For this purpose, the climatic data were applied during the years 1988–2017. To generate future data, the outputs of the CanESM2 (Second Generation Canadian Earth System Model) model as a general circulation model (GCM) under optimistic (RCP2.6), middle (RCP4.5), and pessimistic (RCP8.5) emission scenarios, and statistical downscaling model (SDSM) were used in the near (2019-2048) and the far (2049-2078) future periods. The PMP24 values were estimated using a physical method in the baseline and future periods under the three scenarios. The PMP24 value was estimated at 143 mm for the baseline-period, using a physical approach. These values were 98, 105, and 109 for the near-future and 129, 122, and 126mm for the far-future period. The results showed that the physical approach's PMP24 values tend to fall at 14-38%. Overall, the PMP24 values decrease in the future, and the rate of decrease in the near-future was more than the rate of the far-future. The spatial distribution maps of PMP24 in the baseline and future-periods showed that the PMP24 values decreased from west to east.
An Efficient Quantum based D2D Computation and Communication Approach for the Internet of Things
Authors: Mekala M S , Srivast Gautam , Lin Jerry Chun-Wei , Dhiman Gaurav , Park Ju H , Jung Ho-Youl 
Published: November 2021

Abstract
We can say with some clarity that the Internet of Things (IoT) can be made up of a set of embedded devices such as light detection sensors, ranging (LiDAR) sensors, and millimetre-wave (mmWave) sensors. These sensors generate a massive amount of data in which limited communication capacity is available to share a massive amount of data to Fog-based Roadside Units (RSU) for data process and analysis service. Fog-based RSU has become an emerging paradigm in intelligent transportation but needs research attention to design intelligent decision-making methods for data communication and computation at Fog-based RSU. To address these issues, we design a two-level Quantum based D2D Computation, Communication ($QDC^{2}$) approach. First, design a bandwidth allocation strategy based on spatial importance score factors to resolve embedded devices' data transmission issues. Second, design an adaptive equilibrium service offloading strategy based on device-centric measurements to assess the computation capacity and performance rate for resolving Fog-node computation consistency issues. Additionally, Fog-based RSU is interconnected with LAN helps to optimize service latency. Simulation results show that our approach achieved a high service reliability rate (79.56\%), low error rate (0.9\%), and an execution delay of 22.5s for 15 devices than state-of-art approaches.
Behavioral and Slice Electrophysiological Assessment of DREADD Ligand, Deschloroclozapine (DCZ) in Rats
Authors: Nentwig Todd , Obray J. Daniel , Vaughan Dylan , Chandler L. Judson 
Published: November 2021

Abstract
Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) have become a premier neuroscience research tool for enabling reversible manipulations of cellular activity following experimenter-controlled delivery of a DREADD-specific ligand. However, several DREADD ligands, e.g., clozapine-N-oxide (CNO), have metabolic and off-target effects that may confound experimental findings. New DREADD ligands aim to reduce metabolic and potential off-target effects while maintaining strong efficacy for the designer receptors. Recently a novel DREADD ligand, deschloroclozapine (DCZ), was shown to induce chemogenetic-mediated cellular and behavioral effects in mice and monkeys without detectable side effects. The goal of the present study was to examine the effectiveness of systemic DCZ for DREADD-based chemogenetic manipulations in behavioral and slice electrophysiological applications in rats. We demonstrate that a relatively low dose of DCZ (0.1 mg/kg) supports excitatory DREADD-mediated cFos induction, DREADD-mediated inhibition of a central amygdala-dependent behavior, and DREADD-mediated inhibition of neuronal activity in a slice electrophysiology preparation. In addition, we show that this dose of DCZ does not alter gross locomotor activity or induce a place preference/aversion in control rats without DREADD expression. Together, our findings support the use of systemic DCZ for DREADD-based manipulaations in rats, and provide evidence that DCZ is a superior alternative to CNO.
The Incidence And Risk Factors of Serum Hypokalemia After Primary Total Joint Arthroplasty
Authors: Pan Pin , Zhang Zitao , Zhang Xiaofeng , Jiang Qing , Xu Zhihong 
Published: November 2021

Abstract
Background: Regular monitoring of serum potassium after total joint arthroplasty (TJA) is a routine examination, which can detect abnormal serum potassium and reduce adverse events timely caused by postoperative hypokalemia. In this study, we aimed to investigate the incidence and risk factors of hypokalemia after primary total hip and knee replacement.Methods: This study included patients who underwent unilateral total knee or hip arthroplasty in our department from April 2017 to March 2018. The serum potassium level before and after operation was collected and retrospectively analyzed. The differences in age, BMI and other factors between hypokalemia patients and non-hypokalemia patients at different time points after surgery were compared, and then the risk factors of postoperative hypokalemia were analyzed based on multiple logistic regression.Results: The total incidence of postoperative hypokalemia was 53.1%, while the respective rate on the first, third and fifth postoperative day was 12.5%, 40.7% and 9.6%. The serum potassium level on the first, third and fifth postoperative day was 3.84±0.32mmol/l, 3.59±0.34mmol/l and 3.80±0.32mmol/l, while among which, the level on the third day was the lowest (p=0.015). The independent risk factors for hypokalemia after total hip and knee replacement were the level of preoperative serum potassium (p=0.011), preoperative red blood cells (p=0.027), and a history of diabetes (p=0.007).Conclusion: Regular monitoring of serum potassium should be performed after TJA due to hypokalemia was a very common complication. We need to pay more attention to patients’ preoperative potassium and red blood cells, especially patients with diabetes.
Intratumoral and Peritumoral CT-Based Radiomics Strategy Reveals Distinct Subtypes of Nonsmall-Cell Lung Cancer
Authors: Tang Xing , Huang Haolin , Du Peng , Yin Hong , Xu Xiaopan 
Published: November 2021

Abstract
Purpose To evaluate a new radiomics strategy that incorporates peritumoral and intratumoral features extracted from lung CT images with ensemble learning for pretreatment prediction of lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD).Methods A total of 105 patients (47 LUSC and 58 LUAD) with pretherapy CT scans were involved in this retrospective study and were divided into training (n=73) and testing (n=32) cohorts. Seven categories of radiomics features involving 3078 metrics in total, were extracted from the intra- and peritumoral regions of each patient’s CT data. Student’s t-tests in combination with three feature selection methods were adopted for optimal features selection. An ensemble classifier that was generated with five machine learning classifiers and optimal features, was developed and the performance was quantitatively evaluated using both training and testing cohorts for the prediction task.Results The classification models developed by using optimal feature subsets determined from intratumoral region and peritumoral region with the ensemble classifier achieved mean area under the curve (AUC) of 0.87, 0.83 in the training cohort and 0.66, 0.60 in the testing cohort, respectively. The model developed by using the optimal feature subset selected from both intra- and peritumoral regions with the ensemble classifier achieved great performance improvement, with AUC of 0.87 and 0.78 in both cohorts, respectively.Conclusions The proposed new radiomics strategy that extracts image features from the intra- and peritumoral regions with ensemble learning, could greatly improve the diagnostic performance for the histological subtype stratification in patients with NSCLC.
Optimization of Processing Technology Based on Chemical Composition Difference and Anti-Fibrotic Activity
Authors: Ding Chuan , Xu Peng , Ning Yan , Shan QiYuan , Niu Minjie , Cai Hao , Han Xin , Cao Gang 
Published: November 2021

Abstract
Background

Cornus officinalis, a kind of edible herbal medicine, has been widely used in liver and kidney protection due to its anti-inflammatory, anti-tumor, and anti-oxidant activities, which can be enhanced with wine-steamed (WS) processing.
Methods

Based on the activations of HSC-T6 and HK-2, our study used single-factor plus orthogonal design to investigate the anti-fibrosis of C. officinalis processed with steamed (S), high-pressure steamed (HPS), WS, high-pressure wine-steamed (HPWS), wine-dipped (WD), and wine-fried (WF). The chemical constituents in processed C. officinalis with higher anti-fibrotic activities were detected by UPLC-Q-TOF-MS/MS.
Results

Results showed that C. officinalis with HPWS significantly inhibited the activations of HSC-T6 and HK-2. Moreover, compounds in C. officinalis with HPWS were obtained via UHPLC-Q-TOF-MS/MS, indicating that 27 components were changed compared with raw C. officinalis.
Conclusions

These results demonstrated that HPWS is the optimal processing technology for anti-fibrosis of C. officinalis.
ConsensusPrime - A Bioinformatic Pipeline For Ideal Consensus Primer Design
Authors: Collatz Maximilian , Braun Sascha D. , Monecke Stefan , Ehricht Ralf 
Published: November 2021

Abstract
High quality oligonucleotides for molecular amplification and detection procedures of diverse target sequences depend on sequence homology. The identification of homogeneous regions in alignments can be done manually only if alignments are small and if they contain sequences of high similarity. For large and inhomogeneous alignments, the process of finding the best regions needs to be automated.The ConsensusPrime pipeline was developed to detect the most homolog regions from multiple sequences. It automates the prediction of optimal consensus primers for analytical and diagnostic procedures/assays.ConsensusPrime is a fast and easy to use pipeline for predicting optimal consensus primers that is executable on local systems without depending on external resources and webservices. An implementation in a Docker image ensures platform-independent executability and installability despite the combination of multiple programs. The source code and installation instructions are freely available on GitHub (https://github.com/mcollatz/ConsensusPrime).
MDA-LDL vaccination induces athero-protective germinal center-derived antibody responses
Authors: Martos-folgado Inmaculada , Lorenzo Cristina , Busse Christian , Delgado Pilar , Mur Sonia , Cobos Laura , Martin-Ventura Jose Luis , Escolà-Gil Joan Carles , Wardemann Hedda , Ramiro Almudena 
Published: November 2021

Abstract
Atherosclerosis is a chronic inflammatory disease of the arteries that can lead to thrombosis, infarction and stroke and is the leading cause of mortality worldwide. Immunization of pro-atherogenic mice with malondialdehyde-modified low-density lipoprotein (MDA-LDL) neo-antigen is athero-protective. However, the immune response to MDA-LDL and the mechanisms responsible for this athero-protection are not completely understood. Here, we find that immunization of mice with MDA-LDL elicits memory B cells, plasma cells, and switched anti-MDA-LDL antibodies as well as clonal expansion and affinity maturation, indicating that MDA-LDL triggers a bona fide germinal center antibody response. Further, Blimp1-deficient pro-atherogenic chimeras lacking germinal center-derived plasma cells, show accelerated atherosclerosis. Finally, we show that MDA-LDL immunization does not promote athero-protection in mice lacking germinal-center derived plasma cells, indicating that germinal center-derived antibodies are important for MDA-LDL-driven athero-protection. These findings support the idea that MDA-LDL-based vaccines could potentially be used for the prevention or treatment of atherosclerosis.
Seasonal Changes and Decrease of Suicides and Suicide Attempts in France Over the Last 10 Years”.
Authors: AKKAOUI Marine AMBAR , CHAN-CHEE Christine , LAAIDI Karine , FIFRE Gregory , LEJOYEUX Michel , VAIVA Guillaume , PEYRE Hugo , Geoffroy Pierre Alexis 
Published: November 2021

Abstract
Introduction: The objective of this study was to examine the evolution of suicides and suicide attempts over the last 10 years in France. Methods: We analyzed the number of deaths by suicide and suicide attempts in metropolitan France (2009-2018) from French national databases, on a daily, weekly or monthly basis. Seasonal variation in suicide rates was modeled using a cosinor function. Based on this model, we determined the association of suicides and suicide attempts with geographic characteristics, age, gender, means used and psychiatric disorders. Results: The number of suicides and suicide attempts decreased over the last ten years in France (mean decrease of 14.49% and 11.69% per year). We observed a significant and recurrent seasonal pattern of suicides and suicide attempts in France, with a peak in spring. The suicide and suicide attempt rates were higher in the northern departments of France. Suicides were more frequent for men (75%) and middle-age individuals (45-54 years old), while suicide attempts were more frequent for women (62%) and young adults and middle-age individual (15-19 and 40-49 years old). Nearly two-thirds of the patients who attempted suicide suffered from comorbid psychiatric disorders. Mood disorders was the most frequent comorbid psychiatric disorder (54%). Voluntary drug intoxication was the most common means of suicide attempt (80%), and hanging was the most common means of suicide (54%).Conclusion: The number of suicides and suicide attempts decreased in France over the last 10 years, with large and recurrent seasonal variations. These findings could be used to alert and adjust prevention policies, as well as developing preventive strategies such as chronotherapeutics.
Evaluation of Post-COVID-19 Chest Pain and Dyspnea in Outpatients Using Speckle Tracking Echocardiography
Authors: Omar Timor , İliş Doğan , Oflu Yusuf , Karakayalı Muammer , Bucak Halil Murat , Artaç İnanç 
Published: November 2021

Abstract
Clinicians are frequently facing patients complaining of post-COVID-19 chest pain and dyspnea. However, it remains to be seen if these symptoms indicate pathology of the cardiovascular system. We aimed to evaluate heart functions in outpatients with post-COVID-19 chest pain and dyspnea, using 2D-speckle tracking echocardiography (2D-STE). This cross-sectional study recruited consecutive patients who presented to cardiology outpatient clinics between June 15 and July 15, 2021. Subjects had recovered from COVID-19 1-2 months prior to admission. ECG, echocardiography including 2D-STE images, were obtained for all patients. Findings were compared with sex and an age-matched control group consisting of 67 healthy adults. A total of 78 patients were included. The median age was 38 (IQR, 34-45) years, and 64.1% were female. There were no significant differences between the patients and control group regarding laboratory, ECG, and echocardiography findings. Moreover, left ventricle global longitudinal strain (LVGLS) measurements in both patient and control groups were within the normal ranges and did not show a significant difference [-20.5 (-21.8- -17.9) vs. -19.8 (-21.4- -18.9), p=0.894]. Post-COVID-19 chest pain and dyspnea are unlikely signs of cardiovascular involvement in outpatient young adults who had not been hospitalized with COVID-19.
Type 1 diabetes management and hospitalisation in the over 25’s at an Australian outer urban diabetes clinic
Authors: Patel Shivani , Farkash Celine , Simmons David 
Published: November 2021

Abstract
AimsTo describe clinic management and referral pathways among adults with type 1 diabetes (T1D) aged >25 years attending a public outpatient diabetes service. MethodsRetrospective cohort study of people with T1D aged >25 years seen by endocrinologists in one Australian urban public outpatient in 2017. Electronic and paper medical records were reviewed using a dataset adapted from the UK National Institute for Health and Care Excellence 2015 guidelines. ResultsAmong the 111 people with T1D (mean age 41 ± 13 years, 55% men, mean body mass index 27.1 ± 5.6 kg/m2), mean HbA1c was 8.1 ± 1.9% (66 ± 19 mmol/mol) (lower than the Australian National Diabetes Audit: 8.5%/69 mmol/mol) with 25.5% meeting the guideline target of <53 mmol/mol (7.0%). Most people had seen a diabetes educator (80.2%) or dietitian (73.0%) and had complication screening. Complication rates were high (nephropathy 20.4%, retinopathy 27.4%, peripheral neuropathy 30.1%, ischaemic heart disease/acute infarction 10.5%). Overall, 27% of referrals occurred following an acute inpatient admission or emergency department presentation and 13% for management of diabetes in pregnancy. ConclusionsA high proportion of people with T1D accessed public specialist care either during pregnancy or after a largely avoidable acute glycaemia-related hospital presentation. Subsequent care was in line with national specialist standards. This area has a “wait for acute event” rather than “complication prevention” model of care, associated with under-referral to the local multidisciplinary specialist service. Understanding how widespread this model of care is, and ways to reduce its prevalence, are urgently required.
Identification of Candidate Genes That Specifically Regulate Subcutaneous and Intramuscular Fat Deposition Using Transcriptomic and Proteomic Profiles in Dingyuan Pigs
Authors: Zhang Pan , Li Qinggang , Wu Yijing , Zhang Yawen , Zhang Bo , Zhang Hao 
Published: November 2021

Abstract
Subcutaneous fat and intramuscular fat (IMF) deposition are closely related to meat production and pork quality. Dingyuan pig, as a native pig breed in China, low selection leads to obvious genetic and phenotypic differences in the population. Individuals with extreme fat content in the population are ideal models for studying the mechanism of fat deposition. In this study, we used RNA-Seq and tandem mass tags-based (TMT) proteomics to analyze the key pathways and genes that specifically regulate subcutaneous fat and IMF deposition in Dingyuan pigs. We identified 191 differentially expressed genes (DEGs) and 61 differentially abundant proteins (DAPs) in the high and low back fat thickness (HBF, LBF) groups, 85 DEGs and 12 DAPs were obtained in the high and low intramuscular fat (HIMF, LIMF) groups. The functional analysis showed that the DEGs and DAPs in the backfat groups were mainly involved in carbohydrates, amino acids, and fatty acids, whereas the IMF groups were involved in the insulin pathway, longevity, and some disease-related pathways. we found 33 candidate genes that might tissue-specifically lipids deposition for subcutaneous and intramuscular fat. Our research provides theoretical reference materials for the improvement of fat deposition traits of local pig breeds in my country.
Transplantation of Wnt4-Modified Neural Stem Cells Mediate M2 Polarization to Promote Spinal Cord Injury Repair
Authors: Li Xiang , Long Lingli , Hu Yue , Zhang Wenwu , Zhong Fangling , Tuo Ying , Cheng Xing , Wan Yong 
Published: November 2021

Abstract
Background: Neural stem cells (NSCs) transplantation has been considered as a potential strategy to reconnect the neural circuit after spinal cord injury (SCI) but the therapeutic effect was still unsatisfied because of the poor inflammatory microenvironment. Previous study reported that neuroprotection and inflammatory immunomodulation were considered to be most important mechanism of NSCs transplantation. In addition, Wnt4 has been considered to be neurogenesis and anti-inflammatory so that it would be an essential assistant agent for NSCs transplantation.Results: We report the first piece of evidence to confirm the interaction between Wnt4-modified NSCs and macrophages using NSCs- macrophages co-cultured system. Wnt4-modified NSCs induce M2 polarization and inhibit M1 polarization of macrophages through suppress TLR4/NF-κB signal pathway; furthermore, M2 cells promote neuronal differentiation of NSCs through MAPK/JNK signal pathway. In vivo, transplantation of Wnt4-modified NSCs improve inflammatory microenvironment through induce M2 polarization and inhibit M1 polarization of macrophages to promote axonal regeneration and tissue repair.Conclusion: The current study indicated that transplantation of Wnt4-modified NSCs mediate M2 polarization of macrophages to promote spinal cord injury repair. Our novel findings would provide more insight of SCI and help with identification of novel treatment strategy.