bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultraviolet-induced inflammation: Validation of the PI-MED erythema measure and its associations with anhedonia
Authors: Sullivan-Toole Holly , Feng Shengchuang , Carlton Corinne , Ghane Merage , Olino Thomas , Allen Irving , Richey John 
Published: May 2022

Abstract
Affective immunology of the skin is a growing area; however, investigations are limited by the lack of an established protocol for measuring individual differences in cutaneous inflammation. To address this gap, we present a preliminary validation of Precision Implementation of Minimal Erythema Dose (PI-MED) testing as a method for measuring cutaneous inflammation. PI-MED is a recently adapted protocol, optimized for reproducibility and individual differences research, that uses ultraviolet (UV) light to evoke cutaneous erythema, or inflammatory skin reddening. PI-MED’s novel UV dosage schedule produced reasonably standardized erythema responses across different skin pigmentation types, showed strong internal consistency within person, and good test-retest reliability across 8–10 weeks. In line with predictions, increased PI-MED erythema was associated with heightened anhedonia, across several anhedonia measures, beyond the influence of non-affective covariates. While future work should further refine the PI-MED dosage schedule for the lightest and darkest skin types, overall, evidence supports PI-MED as a protocol for inducing and measuring individual differences in cutaneous inflammation and PI-MED evoked erythema shows potential for expanding psychoneuroimmunology research to better understand immunological and affective processes in the skin. Further, this work adds to a growing body of evidence demonstrating a distinct relationship between inflammation and anhedonia.
The use of neurodynamic mobilization in patients with cervical spondylotic radiculopathy: in mild pain or pain-free range? A randomized controlled trial
Authors: You Mingke , Wang Zhuo , Yang Haolun , Chen Baoyu , Yang Lin , Li Jian 
Published: May 2022

Abstract
Background Cervical spondylotic radiculopathy is commonly seen nowadays, and neurodynamic mobilization is believed to be effective in treating this condition. However, the ideal degree of neurodynamic mobilization is still unknown. The aim of this study was to investigate the effect of different neurodynamic mobilization intensity in treating cervical spondylotic radiculopathy.Methods Forty patients with cervical spondylotic radiculopathy were included and randomly allocated into pain-free mobilization group or the mild pain mobilization group. Interventions included conventional rehabilitation therapy plus pain-free or mild pain neurodynamic mobilization, with two sessions/day for five days. The outcome measurements included VAS pain scale, neck range of motion, and Vernon-Mior neck disability index, at baseline before, immediate after treatment, and 1-, 2-, and 4-weeks post treatment as follow-ups. Results Baseline comparison showed no group differences (P > 0.05). Significant differences were found before the intervention and 4 weeks after the treatment in all outcome measures (p <0.05) in both groups. While there were no significant differences between groups after treatment, the outcome measures in the mild pain group were slightly better than the pain-free group. Conclusions This was the first study to evaluate neurodynamic mobilization based on pain intensity rather than different ranges of motion. A new classification of neurodynamic mobilization was proposed in this study. Clinicians can use this classification as reference, combining their own clinical reasoning, clinical experiences and patient’s responses to guide the decisions when choosing neurodynamic mobilization technique. Trial registrationThis study was registered on the Chinese Clinical Trial Registry, with the number of ChiCTR2000031842 on 12/04/2020.
Progression of IgA vasculitis with severe hematochezia during IFX treatment for pediatric Ulcerative Colitis: a case report and literature review
Authors: lv jiajia , Xiao Yuan , Li Jia , Xu Chundi , Yu Yi 
Published: May 2022

Abstract
Background: Anti-TNF-α antibody has been an efficient therapy for managing ulcerative colitis (UC). However, IgA vasculitis may be a rare complication that occurs during inflammatory bowel disease (IBD) or after TNF blocker treatment.Case presentation: We report a 14-year-old female patient with a history of purpuric skin lesions and UC. Two months prior to the current admission, she developed canker sores with fever, which was alleviated after the application of clindamycin hydrochloride. One month prior to the current admission, she was diagnosed with UC because of her abdominal pain and severe bloody diarrhoea. Ten days before admission, she developed a bilateral lower extremity purpuric rash. After admission, her abdominal symptoms mildly improved with glucocorticoids and infliximab. However, soon after, she developed two episodes of severe haematochezia and markedly aggravated purpura on the extensor side of both lower extremities. Following colonoscopy examination and intestinal IgA staining, she was diagnosed with IgA vasculitis, which induced severe haematochezia. We decided to continue the original treatment. After the fifth dose of infliximab, the gastrointestinal symptoms disappeared, and the purpuric rash resolved after 1 month.Discussion and conclusion: IgA vasculitis is a rare adverse effect of extraintestinal manifestations of UC, appearing at any age. IgA vasculitis is triggered by infections, specific drugs (infliximab, adalimumab, etanercept) and malignancy. The abdominal and intestinal manifestations of UC and IgA vasculitis may overlap, making it difficult to diagnose IgA vasculitis. Therefore, colonoscopy and intestinal biopsy with IgA staining are useful to detect intestinal involvement of IgA vasculitis.
Aging reduces calreticulin expression and alters spontaneous calcium signals in astrocytic endfeet of the mouse dorsolateral striatum
Authors: SRINIVA RAHUL , Zarate Sara , Huntington Taylor , Bagher Pooneh 
Published: May 2022

Abstract
Aging-related impairment of the blood brain barrier (BBB) and neurovascular unit (NVU) increases the risk for neurodegeneration. Among various cells that participate in BBB and NVU function, calcium signals in astrocytic endfeet are crucial for BBB and NVU integrity. To assess if aging is associated with altered calcium signals within astrocytic endfeet of the dorsolateral striatum (DLS), we expressed a genetically encoded calcium indicator, GCaMP6f in DLS astrocytes of young (3-4 month) and aging (20-24 month) mice. Compared to young mice, DLS endfeet in aging mice demonstrated decreases in calreticulin expression, and significant alterations in membrane-associated and mitochondrial calcium signals. While young mice required both extracellular and endoplasmic reticulum calcium sources for endfoot signals, aging mice showed heavy dependence on endoplasmic reticulum calcium. Thus, aging astrocytic endfeet possess significant changes in calcium buffering and sources, which is important for understanding mechanisms by which aging can impair the BBB and NVU.
Interpolation of dispersion relations and group index in photonic crystal waveguides using artificial neural network
Authors: Pavan Vadapalli Durga Rama , Nikhil Vangety , Dey Koustav , B Umamaheswara Sharma , Roy Sourabh 
Published: May 2022

Abstract
Artificial neural networks in machine learning are popular in solving complex data problems. This article proposes a neural network for predicting the dispersion relations and group indices of a dispersion engineered photonic crystal waveguide mainly designed for slow light applications. The model is trained by the data sets generated from MPB programming. A supervised feed-forward multilayer perceptron neural network is used for predicting the data. Three hidden layers are used with 500 nodes in each layer. One hundred epochs are used to achieve the lowest mean squared error. For generating the training data sets, waveguide structures with lattice shifts in the range of 0.00a to 0.25a are used. After the training, the model can predict the dispersion and group indices values within the trained data range. The model is effective in reducing the computational time.
The use of autologous skeletal muscle - derived cells as a sling in the treatment of stress-induced urinary incontinence : an experimental study in dogs
Authors: Wadie Bassem S , Amer Haytham G , Khater Sheryy M , Gabr Mahmoud M 
Published: May 2022

Abstract
Purpose:This is an experimental preclinical study testing the applicability of autologous skeletal muscle-derived cells as a treatment of SUI in a canine model.Methods:Ten mongrel dogs were included in this study. Skeletal muscle was harvested for biopsy in 4 dogs. One month later, incontinence was induced in 8 dogs through urethrolysis. Biopsied muscle cells were incubated and expanded for 8 weeks. Muscle-derived cells were collected and covered with a polyglycolic acid (PGA) scaffold immersed in culture medium and coated with Matrigel to be used as a sling, which was placed suburethrally in 8 dogs; 4 had cell seeding, and 4 had scaffolds only. Urethral pressure (UP) measurements were performed at baseline and 2 & 6 weeks after sling insertion. The urethra was harvested 4 weeks after sling insertion for histopathology.Results:UP showed an increase in maximum urethral pressure during static measurement in all dogs with a scaffold inserted. The increase ranged from 5–40 cmH2O. Histopathology showed significant periurethral proliferation of skeletal muscles in 4 dogs with cell-seeded scaffolds. These levels were the maximum levels in dogs # 1 & 2. This was not the case in the 4 dogs that had slings only.Conclusion:The use of skeletal muscle-seeded PGA scaffolds is a practical technique with preserved histological differentiation integrity in a canine model.
An automated and stable LED array illumination system for multiwell plate cell culture photodynamic therapy experiments
Authors: Zhang Kai , Timilsina Sudip , Waguespack Matthew , Kercher Eric M. , Spring Bryan Q. 
Published: May 2022

Abstract
Photodynamic therapy (PDT) research would benefit from an automated, low-cost, and easy-to-use cell culture light treatment setup capable of illuminating multiple well replicates within standard multiwell plate formats. We present an LED-array suitable for performing high-throughput cell culture PDT experiments. The setup features a water-cooling loop to keep the LED-array temperature nearly constant, thus stabilizing the output power and spectrum. The setup also features two custom-made actuator arms, in combination with a pulse-width-modulation (PWM) technique, to achieve programmable and automatic light exposures for PDT. The setup operates at ~690 nm (676–702 nm, spectral output full-width half-maximum) and the array module can be readily adapted to other LED wavelengths. This system provides an illumination field with adjustable irradiance up to 400 mW/cm2 with relatively high spectral and power stability comparing with previously reported LED-based setups. The light doses provided by the LED array were validated with comparison to traditional laser PDT. This open-source illumination platform (including the detailed technical description, fabrication protocols, and parts list provided here) helps to make custom light sources more accessible and of practical use for photomedicine research.
Dynamics of Human Milk Oligosaccharides in early lactation and relation with growth and appetitive traits of Filipino breastfed infants
Authors: Samuel Tinu M. , Hartweg Mickaël , Lebumfacil Jowena D. , Buluran Katherine. B. , Lawenko Rachel. B. , Estorninos Elvira M. , Binia Aristea , Sprenger Norbert 
Published: May 2022

Abstract
Human milk oligosaccharides (HMOs) play a key role in the maturation of the infant gut microbiome and immune system and are hypothesized to affect growth. This study examined the temporal changes of 24 HMOs and their associations to infant growth and appetitive traits in an exploratory, prospective, observational, study of 41 Filipino mother-infant dyads. Exclusively breastfed, healthy, term infants were enrolled at 21–26 days of age (≈ 0.75 mo) and followed for 6 months. Infant growth measures and appetitive traits were collected at visit 1 (V1) (≈ 0.75 mo), V2 (≈ 1.5 mo), V3 (2.5 mo), V4 (2.75 mo), V5 (4 mo), and V6 (6 mo), while HMOs were measured at V1, V2, V4 and V6. Overall exposure to each HMO was summarized as area under the curve from baseline to 4 months of age and examined in association with each measure of growth at 6 months using linear regression adjusted for maternal age at birth, infant sex, birth weight, and mode of delivery. We saw modest associations between several HMOs and infant growth parameters. Our results suggest that specific HMOs, partly as proxy for milk groups (defined by Secretor and Lewis status), may be associated with head circumference and length, increasing their relevance especially in populations at the lower end of the WHO growth curve. We did not identify the same HMOs associated with infant appetitive traits, indicating that at least in our cohort, changes in appetite were not driving the observed associations between HMOs and growth.Clinical trial registration: NCT03387124
Percutaneous full endoscopic lumbar discectomy for adjacent segment disease after lumbar fusion in elderly patients
Authors: Feng， Pin , Kong， Qingquan , Zhang Bin , Liu Junlin , Ma Junsong , Hu Yuan 
Published: May 2022

Abstract
Purpose The aim of the study was to evaluate the short-term efficacy and safety of percutaneous full endoscopic lumbar discectomy（PELD）in the treatment of adjacent segment disease（ASD）after lumbar fusion in elderly patients.Methods Between October 2017 and January 2020, 32 patients with symptomatic ASD were accepted the PELD. All patients used the transforaminal approach and recorded the operation time and intraoperative conditions. Preoperative, 3, 12, 24 months of postoperative and at the last follow-up, the pain of back and leg of visual analog scale (VAS), Oswestry dysfunction index (ODI) and Japanese Orthopedic Association Assessment Treatment Score (JOA) were performed, and the clinical efficacy was evaluated according to MacNab standards. The lumbar MRI was performed to evaluate the decompression of the nerve roots, and the lumbar lateral and dynamic X-rays were performed to evaluate the stability of the surgical segment.Results 32 patients were included in the study, including 17 males and 15 females. The follow-up time ranged from 24 to 50 months, with an average of (33.2±8.1) months and an average operation time of (62.7±28.1) minutes. Compared with preoperatively, the VAS score of the back and leg pain (P<0.05), ODI (P<0.05) and JOA (P<0.05) of postoperative were significantly improved. At the last follow-up, according to the modified MacNab standard assessment, 24 cases were excellent, 5 cases were good, and 3 cases were fair, the excellent and good rate was 90.65%. As for complications, 1 case had a small rupture of the dural sac during the operation, which was found but not repaired during the operation, and 1 case recurred after the operation. At the last follow-up, 3 cases of intervertebral instability.Conclusion PELD showed satisfactory short-term efficacy and safety in the management of ASD after lumbar fusion in elderly patients. Therefore, PELD might be an alternative choice for elderly patients with symptomatic ASD after lumbar fusion, but surgical indications must be strictly controlled.
D-dimer/albumin ratio is a prognostic marker for patients with aneurysmal subarachnoid hemorrhage-retrospective research
Authors: Wu* Wei , Liu* Xun-Zhi , Chen Xiang-Xin , Sheng Bin , Zhang Jia-Tong , Li Wei , Zhang# Ding-Ding , Hang# Chun-Hua 
Published: May 2022

Abstract
Background: Aneurysmal subarachnoid hemorrhage (aSAH) is a serious neurological disorder with limited treatment options and very little is known about its pathophysiology. And there are few available objective tools for predicting the clinical prognosis of aSAH patients and further aiding in directing clinical therapeutic programs. This study aimed to evaluate whether the raised serum D-dimer/albumin ratio (DAR) could reflect disease severity and predict clinical outcomes after aSAH.Methods: A total of 178 patients with aSAH were included in this retrospective study. Collected data included demographics; clinical severity of aSAH (WFNS scale and Hunt-Hess scale), levels of D-dimer, albumin, c-reactive protein (CRP), leukocyte counts, mRS on admission; and three-month prognosis. Clinical prognosis was dichotomized into favorable outcome (mRS ≤ 2) and unfavorable outcome (mRS ≥ 3). And the predictive ability of DAR for aSAH prognosis was determined by Receiver Operating Characteristic (ROC) Curve analysis.Results: The serum DAR showed a strong positive correlation with disease severity. Univariate analysis revealed that DAR, WFNS grade, Hunt-Hess grade, delayed cerebral infarction (DCI), age, neutrophil-to-lymphocyte ratio (NLR), and c-reactive protein/albumin ratio (CAR) were associated with unfavorable clinical outcome. Multivariate regression analysis further revealed that elevated DAR could predict poor prognosis after correcting for WFNS grade, Hunt-Hess grade, DCI, age, NLR, and CRP/albumin ratio. The receiver operating characteristic curve result demonstrated that DAR was a comparable predictor for clinical outcome of aSAH in comparison with NLR and CAR.Conclusion: DAR was d promising objective tool for aSAH patients. Hight content DAR was associate with disease severity and unfavorable short-term prognosis.
Enhanced Conditional Random Field-Long Short-Term Memory for Name Entity Recognition in English Texts
Authors: VeeraSekharReddy B. , Srinivas Koppula , Koppula Neeraja 
Published: May 2022

Abstract
Named Entity recognition (NER) is the essential topic in the real world during the advanced development of technologies. Hence, in this paper, to develop Enhanced Conditional Random Field-Long Short-Term Memory (ECRF-LSTM) for NER in English language. The proposed ECRF-LSTM is combination of Conditional Random Field-Long Short-Term Memory (ECRF-LSTM) and Arithmetic Optimization Algorithm (AOA). This proposed method is utilizing to NER from the English texts. The proposed method is working with three phases such as pre-processing phase, feature extraction phase, and NER phase. Initially, the datasets are collected from the online system. In the pre-processing phase, removal of URL, removal of special symbol, username removal, tokenization and stop word removal are done. After that, the essential features such as domain weight, event weight, textual similarity, spatial similarity, temporal similarity, and Relative Document-Term Frequency Difference (RDTFD) are extracted and then applied for training the proposed model. To empower the training phase of CRF-LSTM method, AOA is utilized to select optimal weight parameter coefficients of CRF-LSTM for training the model parameters. The proposed method is validated by statistical measurements and compared with the conventional methods such as Convolutional Neural Network- Particle Swarm Optimization (CNN-PSO) and Convolutional Neural Network (CNN) respectively.
Primary gastric lymphoma and spontaneous remission associated with co-infection of COVID-19 and undefined typical bacterial agent.
Authors: Kurmanova Gaukhar , Bossatbekov Yerkebulan , Alimanova Zhanna , Tankayeva Sholpan , Bugibaeva Akbota , Sarawata Abhishek , Singh Kajal , Abbas Fuza Adhur Manhuvalappa , Singh Neetu 
Published: May 2022

Abstract
Background: A case report is viewed as a clinical experience of a patient with primary gastric lymphoma. The article demonstrates reduction of the lymphoproliferative disorder condition to the spontaneous remission state, after community-acquired pneumonia with co-infection of COVID-19, and undefined typical bacterial agent. A positive response has gone through a period of COVID-19 and appeared of ongoing the standard antibacterial and basic symptomatically treatment. Case presentation: A 65-years-old woman was admitted by an ambulance to the emergency department with severe condition. In time of hospitalization, the patient has diagnosed first appearance of primary gastric lymphoma ulcer form with signs of ongoing capillary bleeding, normochromic anaemia, thrombocytopenia, diabetes mellites type 2 in hypoglycaemic state owing to metformin, and chronic bronchitis. Laboratory and instrumental data investigations confirms the severity of condition. Conclusion: The article underlines extremely positive response up to disappearing ulcer form of primary gastric lymphoma and stabilization in laboratory and instrumental investigations data. It associates with anti-tumor effect of highly cytokines production in view of COVID-19 and undefined typical bacterial agent.
LMix:Regularization Strategy for Convolutional Neural Networks
Authors: Yan Linyu , Zheng Kunpeng , Xia Jinyao , Li Ke , Ling Hefei 
Published: May 2022

Abstract
Convolutional neural network models, as well as the training samples necessary, have grown in size in recent years. Mixed Sample Data Augmentation is provided to further improve the model's performance, and it has yielded good results.Mixed Sample Data Augmentation allows the network to generalize more effectively and improves the baseline performance of the model. The mixed sample strategies proposed so far can be broadly classified into interpolation and masking. However, interpolation-based strategies distort the data distribution, while masking-based strategies can obscure too much information. Although Mixed Sample Data Augmentation has been proven to be a viable technique for boosting deep convolutional model baseline performance, generalization ability, and robustness, there is still room for improvement in terms of image local consistency and data distribution.In this research, we present a new Mixed Sample Data Augmentation that uses random masking to increase the number of image masks while retaining the data distribution and high-frequency filtering to sharpen the images in order to emphasize recognition regions. Our experiments on CIFAR-10, CIFAR-100, Fashion-MNIST, SVHN, and Tiny-ImageNet datasets show that the LMix improves the generalization ability of state-of-the-art neural network architectures. And our method enhances the robustness of adversarial samples.