Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the Role of Ly6G+ Neutrophils in Incisional and Inflammatory Pain by Multidimensional Pain-Related Behavioral Assessments: Bridging the Translational Gap

In recent years, preclinical pain research has failed to develop genuinely new analgesics for clinical use. This fact is reflected by a high number of patients, limited drug efficacy accompanied by side effects, and a long-term opioid intake. Two main aspects have been addressed, which hinder translation: the use of non-relevant pain models and a mismatch between pain-related outcomes in preclinical and clinical studies. Conversely, disease-specific pain models that mirror more closely the clinical situation and multidimensional behavioral outcome measures that objectively and reproducibly assess relevant pain-related symptoms in a preclinical setting could improve translation. Mechanistically, a matter of debate is the role of Ly6G+ neutrophil granulocytes (NGs) for pain. NGs are essential to eliminate pathogens and promote the wound healing process. For this purpose, there is a need to release various pro- and anti-inflammatory mediators, some of which could ameliorate or enhance pain. However, the contribution of NGs to different pain entities is contradictory for reflex-based tests, and completely unknown in the context of non-evoked pain (NEP) and movement-evoked pain (MEP). First, we combined withdrawal reflex-based assays with novel video-based assessments for NEP- and MEP-related behavior in two mouse pain models. The pain models utilized in this study were incision (INC) and pathogen/adjuvant-induced inflammation (CFA), translating well to postsurgical and inflammatory pain entities. Second, we depleted NGs and applied a set of behavioral assessments to investigate the role of NG migration in different pain modalities. Our comprehensive behavioral approach identified pain-related behaviors in mice that resemble (NEP) or differentiate (MEP) behavioral trajectories in comparison to mechanical and heat hypersensitivity, thereby indicating modality-dependent mechanisms. Further, we show that injury-induced accumulation of NGs minimally affects pain-related behaviors in both pain models. In conclusion, we report a novel assessment to detect NEP in mice after unilateral injuries using a more unbiased approach. Additionally, we are capable of detecting an antalgic gait for both pain entities with unique trajectories. The different trajectories between MEP and other pain modalities suggest that the underlying mechanisms differ. We further conclude that NGs play a subordinate role in pain-related behaviors in incisional and inflammatory pain.
ZnO nanowire growth by chemical vapor deposition with spatially controlled density on Zn2GeO4:Mn polycrystalline substrates

Aligned ZnO nanowires were successfully synthesized by CVD growth on polycrystalline Zn2GeO4:Mn substrates. The density of the nanowires was explored as a function of gold catalyst thickness as well as the geometry of the growth system. For the first time we demonstrated that the density of ZnO nanowires can be directly tailored by adjusting the lateral distance between a Zn2GeO4:Mn substrate and source powders, and symmetric growth was observed when source powders were placed both upstream and downstream in two separated zones during the synthesis process in a tube furnace. Electric field modelling was employed to predict a desired nanowire density range for future application of the Zn2GeO4:Mn/ZnO structures to electroluminescent devices.
High-Affinity Chimeric Antigen Receptor With Cross-Reactive scFv to Clinically Relevant EGFR Oncogenic Isoforms

Tumor heterogeneity is a key reason for therapeutic failure and tumor recurrence in glioblastoma (GBM). Our chimeric antigen receptor (CAR) T cell (2173 CAR T cells) clinical trial (NCT02209376) against epidermal growth factor receptor (EGFR) variant III (EGFRvIII) demonstrated successful trafficking of T cells across the blood–brain barrier into GBM active tumor sites. However, CAR T cell infiltration was associated only with a selective loss of EGFRvIII+ tumor, demonstrating little to no effect on EGFRvIII- tumor cells. Post-CAR T-treated tumor specimens showed continued presence of EGFR amplification and oncogenic EGFR extracellular domain (ECD) missense mutations, despite loss of EGFRvIII. To address tumor escape, we generated an EGFR-specific CAR by fusing monoclonal antibody (mAb) 806 to a 4-1BB co-stimulatory domain. The resulting construct was compared to 2173 CAR T cells in GBM, using in vitro and in vivo models. 806 CAR T cells specifically lysed tumor cells and secreted cytokines in response to amplified EGFR, EGFRvIII, and EGFR-ECD mutations in U87MG cells, GBM neurosphere-derived cell lines, and patient-derived GBM organoids. 806 CAR T cells did not lyse fetal brain astrocytes or primary keratinocytes to a significant degree. They also exhibited superior antitumor activity in vivo when compared to 2173 CAR T cells. The broad specificity of 806 CAR T cells to EGFR alterations gives us the potential to target multiple clones within a tumor and reduce opportunities for tumor escape via antigen loss.
Human Cytomegalovirus Infection Changes the Pattern of Surface Markers of Small Extracellular Vesicles Isolated From First Trimester Placental Long-Term Histocultures

Extracellular vesicles (EVs) have increasingly been recognized as key players in a wide variety of physiological and pathological contexts, including during pregnancy. Notably, EVs appear both as possible biomarkers and as mediators involved in the communication of the placenta with the maternal and fetal sides. A better understanding of the physiological and pathological roles of EVs strongly depends on the development of adequate and reliable study models, specifically at the beginning of pregnancy where many adverse pregnancy outcomes have their origin. In this study, we describe the isolation of small EVs from a histoculture model of first trimester placental explants in normal conditions as well as upon infection by human cytomegalovirus. Using bead-based multiplex cytometry and electron microscopy combined with biochemical approaches, we characterized these small EVs and defined their associated markers and ultrastructure. We observed that infection led to changes in the expression level of several surface markers, without affecting the secretion and integrity of small EVs. Our findings lay the foundation for studying the functional role of EVs during early pregnancy, along with the identification of new predictive biomarkers for the severity and outcome of this congenital infection, which are still sorely lacking.
Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review

In recent years, sentiment analysis (SA) has gained popularity among researchers in various domains, including the education domain. Particularly, sentiment analysis can be applied to review the course comments in massive open online courses (MOOCs), which could enable instructors to easily evaluate their courses. This article is a systematic literature review on the use of sentiment analysis for evaluating students’ feedback in MOOCs, exploring works published between January 1, 2015, and March 4, 2021. To the best of our knowledge, this systematic review is the first of its kind. We have applied a stepwise PRISMA framework to guide our search process, by searching for studies in six electronic research databases (ACM, IEEE, ScienceDirect, Springer, Scopus, and Web of Science). Our review identified 40 relevant articles out of 440 that were initially found at the first stage. From the reviewed literature, we found that the research has revolved around six areas: MOOC content evaluation, feedback contradiction detection, SA effectiveness, SA through social network posts, understanding course performance and dropouts, and MOOC design model evaluation. In the end, some recommendations are provided and areas for future research directions are identified.
An Empirical Study on the Impact of E-Commerce Live Features on Consumers' Purchase Intention: From the Perspective of Flow Experience and Social Presence

The COVID-19 pandemic and the continuous advancement of live e-commerce technology pushed the swift growth of live e-commerce in China. Based on the S–O–R theoretical framework, this study investigates the impact of live broadcast characteristics on consumers’ social presence and flow experience, along with their impact on the consumers’ consumption intention in live e-commerce scenarios through questionnaires. Using structural equation modeling, data processing and involvement were introduced as regulating variables. Host charm, interaction, and trust in the host exerted a significant positive impact on social presence. In addition, host charm and trust in host significantly affected flow experience, and social presence significantly affected flow experience. Both social presence and flow experience significantly affected consumption intention, while involvement affected all paths to some extent. Overall, this study illustrates the significance of host in live e-commerce, and consumers with low involvement should be the focus of attention in live e-commerce.
Drug delivery via anion exchange of salicylate decorating poly(meth)acrylates based on a pharmaceutical ionic liquid

Amphiphilic polymer carriers were designed for the delivery of ionically bonded drugs. The ionic liquid, trimethylammonium methacrylate monomer, containing biologically active salicylate anions was selected for the preparation of copolymers via atom transfer radical polymerization (ATRP) with methyl methacrylate (MMA) or methyl acrylate (MA). The resulting polymers varied in the content and arrangement of ionic units in the chain. The self-assembly of polymers in aqueous solution yielded particles at critical micelle concentration (CMC) values below 0.1 mg ml−1 and with hydrodynamic diameters in the range of 170–290 nm, which were also visualized by TEM. Drug release studies indicated the exchange of 42–52% of salicylate anions with phosphate anions using dialysis in PBS, which corresponded to 0.15–0.25 mg of salicylate released from 1 mg of polymeric carrier.
Design of Generalized Search Interfaces for Health Informatics

In this paper, we investigate ontology-supported interfaces for health informatics search tasks involving large document sets. We begin by providing background on health informatics, machine learning, and ontologies. We review leading research on health informatics search tasks to help formulate high-level design criteria. We use these criteria to examine traditional design strategies for search interfaces. To demonstrate the utility of the criteria, we apply them to the design of ONTology-supported Search Interface (ONTSI), a demonstrative, prototype system. ONTSI allows users to plug-and-play document sets and expert-defined domain ontologies through a generalized search interface. ONTSI’s goal is to help align users’ common vocabulary with the domain-specific vocabulary of the plug-and-play document set. We describe the functioning and utility of ONTSI in health informatics search tasks through a workflow and a scenario. We conclude with a summary of ongoing evaluations, limitations, and future research.
Estimation of time since death using comparative proteomic and metabolomic approaches

The success of forensic investigation very often depends on the establishment of the correct timeline of events. In the investigation of fatalities, this depends greatly on the estimation of the time since death of the victim. Current methods lead to inaccurate results and depend greatly on the experience of the investigator. Pathologists estimate the time since death based on visual inspection of the bodies as well as body temperature measurement. Only very short post-mortem intervals (PMIs) can be evaluated with some degree of certainty. This investigation used untargeted proteomic and metabolomic approaches to identify potential molecular markers (proteins, metabolites) which could help to quantify post-mortem changes and aid PMI estimation. Animal models were used in the initial stages of the project. Aged beef meat (stored at 4°C for 13 days) and rat muscle samples (intact cadavers stored at ambient temperature for 3 days) were sampled at 24 h time intervals. In the final stages of the project, human tissue samples were collected at the Forensic Anthropology Centre at Texas State University (San Marcos, Texas). Muscle samples were collected at various times post-mortem from 6 different subjects over the period of two weeks. For the proteomics experiment, 0.5g of tissue was homogenized in extraction buffer consisting of urea, thiourea and 3-((3-cholamidopropyl) dimethylammonio)-1-propanesulfonate (CHAPS). Protein separation was carried out using two-dimensional gel electrophoresis. Protein identification was performed using liquid chromatography-tandem mass spectrometry. For the metabolomics experiment, 0.5g of tissue was homogenized in chloroform/methanol/water solution. The extracted samples were analysed using liquid chromatography-mass spectrometry as well as gas chromatography – mass spectrometry. The investigation allowed the identification of potential biomarker candidates. The proteins of interest varied between the sampled mammals. However, myosin and actin appear as promising candidates for all three species. The metabolomics experiments yielded a large number of possible biomarker candidates. Both liquid and gas chromatography approaches were successfully applied, pointing towards various compounds. Proteogenic amino acids were identified as main compounds of interest in all species using both methods. The study has shown that both proteomic and metabolomic approaches can be successfully applied in forensic medical science and can help to find PMI markers. Using the untargeted approach gives the advantage of looking at a whole range of detected molecules and choosing the most appropriate ones for the task. Furthermore, the combination of these two approaches gives a deeper insight into the post-mortem biological processes. The biomarker candidates proposed in this study require further validation in a larger cohort of subjects.
Text Advertisements Analysis using Convolutional Neural Networks

In this paper, we describe the developed model of the Convolutional Neural Networks CNN to a classification of advertisements. The developed method has been tested on both texts (Arabic and Slovak texts). The advertisements are chosen on a classified advertisements websites as short texts. We evolved a modified model of the CNN, we have implemented it and developed next modifications. We studied their influence on the performing activity of the proposed network. The result is a functional model of the network and its implementation in Java and Python. And analysis of model results using different parameters for the network and input data. The results on experiments data show that the developed model of CNN is useful in the domains of Arabic and Slovak short texts, mainly for some classification of advertisements. This paper gives complete guidelines for authors submitting papers for the AIRCC Journals.
Exploration of Optical Signal QoT Margin with Intelligent WSS Filtering Penalty Estimator Using Neural Network

—Deployment of 5G requires increased data transmission capacity in the metro ﬁber network. Besides deploying new dark ﬁber operators are also looking into solutions that improve ﬁber spectrum utilization by means of high-order modulation formats, ﬂexible grid, and subcarrier multiplexing (SCM) technologies. An important factor that limits ﬁber spectrum utilization in metro network is the penalty inﬂicted on the optical signals that are routed by wavelength selective switches (WSS). In this paper, an intelligent WSS ﬁltering penalty estimator is proposed based on neural network. With the achieved accuracy of 0.34 dB of mean absolute error in estimating the optical signal-to-noise ratio penalties caused by WSS ﬁltering, the trained neural network is applied to estimate the ﬁber throughput gains that can be obtained by optimally selecting the signal symbol rate in a number of use cases.
Dermal Sinus Track with Intraspinal Dumbbell Mature Cystic Teratoma in an Infant Presenting as Recurrent Meningitis: A Case Report

Cystic mature teratomas presenting in the spine are rare, comprising less than 0.1% of all spinal tumors. They arise from all three germ cell layers and usually accompany other congenital abnormalities. Spinal teratomas are more common in children as compared to adults and are usually associated with spinal dysraphism. Dermal Sinus is a closed type of Spinal dysraphsim, lined with epithelium and are mostly associated with Dermoid, Epidermoid and Posterior arch defect [1]. We present a case of an infant with recurrent meningitis. His examination was remarkable for a lumbar dimple. Imaging revealed a dermal sinus track continuous with a dumbbell appearance of extradural and intradural nodules, while the histopathology confirmed mature cystic Teratoma. J Spine Res Surg 2021; 3 (3): 099-105 DOI: 10.26502/fjsrs0034 Journal of Spine Research and Surgery 100
Arthroscopic subtalar arthrodesis – results and complications: a systematic review

Objective: The objective of this study is to evaluate the results and complications of the subtalar arthrodesis technique conducted via arthroscopy. Methods: Searches were run on PubMed/Medline and Google Scholar for publications dated from 2007 to 2020. Original articles were included that reported the results of at least one comparative postoperative scale. Methodological quality was assessed using the PRISMA tool. Union rate, complications, and the American Orthopedic Foot and Ankle Society (AOFAS) score were prioritized. Results: A total of 124 references were identified and, after application of the inclusion and exclusion criteria and the PRISMA tool, 9 articles were eligible. A total of 180 patients were analyzed, with mean postoperative follow-up of 18 months (± 6) and with before and after AOFAS scores varying from 44 to 79 with p<0.001, demonstrating statistical relevance with significant improvement of AOFAS scores during the postoperative period. Deformity correction, improvement of pain, and rates of union were good and there was clinical improvement according to postoperative AOFAS scores, with few complications. However, the heterogeneous nature of studies, with variations in techniques and samples, prevents generalization of the findings. Conclusion: The results of arthroscopic surgery for subtalar arthrodesis are good and rates of complications are low, but there are still few studies with high evidence levels that demonstrate the efficacy of the technique, although preliminary results are encouraging. Level of Evidence I; Therapeutic Studies; Systematic Review.
AJAS / SPAS ISSN 2316-0861 A note on Nonparametric Regression Modeling using a Density Function

The nonparametric regression offers alternative to classical regression analysis when the data are not well behaved or when the classical regression model throws significant lack of fit. It has in recent times been estimated using Kernel estimators and the smoothing splines, but these methods wields some bias of estimation. In this study, a semi-parametric multiplicative bias reduction density function was used to develop a non parametric regression model. Simulation studies conducted showed that the proposed estimator performs better than both the Kernel and the smoothing splines estimators especially with large samples. Résumé (Abstract in French) La régression nonparamétrique offre une alternative à la regression classique lorsque les données ne sont pas conformes ou lorsqu’il y a defaut d’ajustage. Récemment, cette méthode a été appliquée avec des noyaux et des lissage de splines, avec apparition de biais importants. Ici, nous présentons une méthode semi-paramétrique multiplicatif conduisant à une réduction de biais. Une étude de simulation a été menée pour supporter la méthode, spécialement avec de grands échantillons.
Development of a cold atomic muonium beam for next generation atomic physics and gravity experiments

A high-intensity, low-emittance atomic muonium (M =\mu^+ + e^-=μ++e−) beam is being developed, which would enable improving the precision of M spectroscopy measurements, and may allow a direct observation of the M gravitational interaction. Measuring the free fall of M atoms would be the first test of the weak equivalence principle using elementary antimatter (\mu^+μ+) and a purely leptonic system. Such an experiment relies on the high intensity, continuous muon beams available at the Paul Scherrer Institute (PSI, Switzerland), and a proposed novel M source. In this paper, the theoretical motivation and principles of this experiment are described.
Factors Affecting the Outcome of Endoscopic Endonasal Transsphenoidal Surgery for Functioning Pituitary Adenomas

Objective: Analysis of preoperative predictors for pituitary adenoma operations and their impact on results after endoscopic endonasal transsphenoidal surgery (EETSS) Methods: We carried out a prospective study of all the patients (99), who were endoscopically endonated transphenoidal at the Department of Neurosurgery, Benha University, Egypt and Wuhan Union Hospital, and China between January 2018 and December 2019. Medical data were gathered and evaluated, including information on sex, age, tumour size, hormone level, preoperative MRI brain and sella, resection scope, result (clinical and endocrinological) and complications. Results: 99 patients with PA were endoscopic transsphenoidal endonasal treatments, 52 males (52.5%) and 47 females (47.5 percent ). Average age 42.5 ± 11.2 years, Irregular menstrual behaviour was the highest in the study populations in 22 patients, followed by visual disturbance in 17 patients (17.2%), acromegaly and increased intracranial pressure in 14 patients, followed by 11 (11.1%), 8 (8.1%) accidents, and 5 (8.1%) cases (11.1%), followed by headache with 11 (12.1%). Conclusion: the size and scope of the tumour excision are only important postoperative determinants (hormonal, radiological & postoperative complications).
RMHP_A_288777 3165..3171

Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, People’s Republic of China Objective: To identify potential risk factors for recurrent retinal detachment after surgical treatment for rhegmatogenous retinal detachment with choroidal detachment (RRD-CD) in a Chinese population. Methods: A total of 1212 patients with RRD-CD admitted to Beijing Tongren Hospital from 2004 to 2018 were reviewed retrospectively. The rate of recurrent retinal detachment was calculated, and risk factors were analyzed by logistic regression analysis. Results: The average age of the patients was 48.51 years, 760 patients (62.7%) were male, and 630 patients (52.0%) had right eye disease. The recurrence rate in the same eye was 21.3%. The incidence of recurrence retinal detachment was higher in patients who were male, middle age, and with poor preoperative vision, longer axial length, and scleral buckling. Recurrence usually occurred 3 months after surgery. Conclusion: Male, middle age, longer axial length, and scleral buckling could be risk factors for recurrent retinal detachment following surgical treatment in patients with RRDCD.