bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contextual-Aware and Expert Resources for Brazilian Portuguese Hate Speech Detection
Authors: Vargas Francielle , Carvalho Isabelle , de Góes Fabiana Rodrigues , Pardo Thiago A. S. , Benevenuto Fabrício 
Published: September 2022

Abstract
This paper provides the first large-scale expert annotated corpus of Brazilian Instagram comments, a multilayer annotation schema for hate speech and offensive language detection on social media, and a contextual-aware offensive lexicon annotated with contextual information. The HateBR corpus was collected from the comment section of Brazilian politicians' accounts on Instagram and manually annotated by specialists. It is composed of 7,000 documents annotated according to three different layers: a binary classification (offensive versus non-offensive comments), offensiveness-level classification (highly, moderately, and slightly), and nine hate speech groups (xenophobia, racism, homophobia, sexism, religious intolerance, partyism, apology for the dictatorship, antisemitism, and fatphobia). The proposed specialized lexicon was manually identified by a linguist from the proposed corpus, which holds 1,000 explicit and implicit pejorative terms and expressions annotated with contextual information. Both the corpus and the contextual-aware offensive lexicon were annotated by three different experts and achieved high inter-annotator agreement. Lastly, we implemented baseline experiments on our corpus and lexicon. The obtained results outperform the current state-of-the-art for the Portuguese language, and the models which embody our specialized lexicon also present relevant performance in different languages. Accordingly, we hope that the proposed resources foster research on hate speech and offensive language detection in the Natural Language Processing area.
Development of A Novel Hybrid Framework for Accounting Information Systems and Mediating Role of Technostress on Organizational Performance
Authors: Sultana Reajmin 
Published: September 2022

Abstract
This study plans to investigate the effect of Accounting Information Systems (AIS) on organizational performance mediated by technostress and the moderating effect of organizational size & environmental uncertainty in the relationship between AIS effectiveness and organizational performance. AIS effectiveness will be assessed through the context of the technology-organization-environment (TOE) and the information-systems-service quality of IS success model. Data will be collected with a questionnaire survey from 384 respondents in listed companies. The collected data will be analyzed with the PLS-SEM technique. This study will try to profile sources of effective AIS services and will illustrate the possible effectiveness of AIS for successful implementation of AIS in the least developed country context.
Centering and Collaborating with Community Knowledge Systems: Piloting a Novel Participatory Modeling Approach
Authors: Shaikh Yahya , Jeelani Muzamillah , Gibbons Michael , Livingston Denisa , Williams David , Wijesinghe Sanith , Patterson Jenine , Russell Sybil 
Published: September 2022

Abstract
Background: Systems science approaches like simulation modeling can offer an opportunity for community voice to shape policies. In the episteme of many communities there are elders, leaders, and researchers who are seen as bearers of historic knowledge and can contextualize and interpret contemporary research using knowledge systems of the community. There is a need for a systematic methodology to collaborate with community knowledge bearers and knowledge interpreters. In this paper we report the results of piloting a systematic methodology for collaborating with a community Knowledge-Bearer and Knowledge-Interpreter to develop a conceptual model revealing the local-level influences and architecture of systems shaping community realities. The use case for this pilot is ‘persistent poverty’ in the United States, specifically within the inner-city African American community in Baltimore City.
Methods: This pilot of a participatory modeling approach was conducted over a span of 7 sessions and included the following steps, each with an associated script:
• Step 1: Knowledge-Bearer and Knowledge-Interpreter recruitment
• Step 2: Relationship building
• Step 3: Session introduction, Vignette development & enrichment
• Step 4: Vignette analysis & constructing architecture of systems map
• Step 5: Augmenting architecture of systems map
Results: Each step of the participatory modeling approach resulted in artifacts that were valuable for both the communities and the research effort.
Vignette construction resulted in narratives representing a spectrum of lived experiences, trajectories, and outcomes within a community. The collaborative analysis of vignettes yielded the Architecture of Systemic Factors map, that revealed how factors inter-relate to form a system in which lived experience of poverty occurs. A literature search provided an opportunity for the community to contextualize existing research about them using realities of lived experience.
Conclusion: This methodology showed that a community Knowledge Bearer can function as a communicator and interpreter of their community’s knowledge base, can develop coherent narratives of lived experiences within which research and knowledge is contextualized, and can collaboratively construct conceptual mappings necessary for simulation modeling. This participatory modeling approach showed that even if there already exists a vast body of research about a community, collaborating with community gives context to that research and brings together disparate findings within narratives of lived experience.
Pharmacokinetics and pharmacodynamics characterization of subjects with novel CYP2D6 genotypes using probe drug metoprolol
Authors: Qian Jianchang , Xu Tao , Pan Peipei , Sun Wei , Cai Jianping , Hu Guoxin 
Published: September 2022

Abstract
Purpose
To investigate the pharmacokinetic profile and pharmacodynamics characterization of volunteers who carries newly discovered CYP2D6 genotypes.
Methods
Totally, 22 volunteers were recruited in the study. The peripheral blood and urine were collected at the indicated time after orally administration of metoprolol. After sample preparation, a validated HPLC method was employed to determine metoprolol and α-hydroxymetoprolol. Meanwhile, the blood pressure and electrocardiogram of the subjects were monitored.
Results
The results demonstrated that the main pharmacokinetic parameters of analytes in CYP2D6*1/*34 were comparable to CYP2D6*1/*1. The AUC and t1/2 in CYP2D6*10/*87, CYP2D6*10/*95 and CYP2D6*97/*97 carriers increased by 2–3 times comparing to wild-type. The urine metabolic rate of metoprolol in these genotypes carriers were in consistence to the tendencies obtained from plasma samples. Therefore, CYP2D6*1/*34 can be assigned as normal metabolizer, while CYP2D6*10/*87, CYP2D6*10/*95 and CYP2D6*97/*97 were intermediate metabolizers. Although the blood concentration of metoprolol is correlated with genotype of CYP2D6, its blood pressure lowering effect is saturated at the maximum efficacy at 25 mmHg. In addition, the P-Q interval prolongation and heart rate lowing were not positively correlated with metoprolol blood exposure.
Conclusion
Based on the pharmacokinetics-pharmacodynamics model, this study clarified the characteristics of metoprolol with novel CYP2D6 genotypes, and provided a solid basic data for translational medicine of substrate drug.
Robotic surgery in Hirschsprung disease: a unicentric experience on 31 procedures
Authors: Mottadelli Giulia , Erculiani Marta , Casella Sara , Dusio Maria Pia , Felici Enrico , Milanese Tiziana , Barbetta Vincenza , James Bakeine , Tentori Augusta , Prato Alessio Pini 
Published: September 2022

Abstract
Background – Robotic surgery has been increasingly applied to Hirschsprung patients with encouraging results. We report the results of a 5-year unicentric experience.
Materials and methods - All consecutive HSCR patients older than 12 months who underwent a surgical procedure with robotic approach between September 2017 and August 2022 were prospectively included. We collected data regarding demographics, extent of aganglionosis, associated anomalies, indications to surgery, and a number of perioperative data such as surgical details, intraoperative and perioperative complications, length of surgery, length of hospital stay, and functional outcome.
Results - A total of 28 patients underwent 31 robotic procedures during the study period. Median age at surgery was 82 months. Eleven primary Totally Robotic Soave Pull-Through, 12 redoes, 5 innervative mapping, 2 redundant rectal pouch excision and 1 Miles’ procedures have been performed. Median console time was 145 minutes. No conversion to either laparoscopy nor to laparotomy was required. Median length of hospital stay was 6 days. Two patients experienced complications requiring reiterative surgery. One patient experienced mild postoperative enterocolitis. Normal continence was achieved by 70% of patients after a median of 16 months postoperatively (80% for primary pull-throughs, 55% for redoes).
Conclusions - To conclude, robotic surgery for older HSCR patients proved to be feasible, safe, and effective. Patients with complex surgical requirements seem to benefit most from this promising approach. Provided the economic burden is addressed and solved, robotic surgery will represent an excellent alternative for the surgical treatment of HSCR to serve the best for our patients.
Aberrant promoter hypermethylation of miR-335 and miR-145 is involved in breast cancer PD-L1 overexpression
Authors: Hajibabaei Sara , Sotoodehnejadnematalahi Fattah , Nafissi Nahid , Zeinali Sirous , Azizi Masoumeh 
Published: September 2022

Abstract
PD-L1 is one of the most important immune checkpoint molecules in breast cancer that plays an important role in suppressing the immune system when confronted with tumor cells and is regulated by various microRNAs. Among them, microRNA-335-3p and microRNA-145-5p, regulated by DNA methylation, have tumor suppressor activities. We studied the role of miR-335 and − 145 on PD-L1 suppression in breast cancer. The expression of miR-355 and miR-145 was significantly downregulated in BC tissues and cell lines compared to their controls, and their downregulation was negatively correlated with PD-L1 overexpression. In-silico and luciferase reporter systems confirmed that miR-335 and-145 target PD-L1. In BC tissues and cell lines, cancer-specific methylation was found in CpG-rich areas upstream of miR-335 and-145, and up-regulation of PD-L1 expression was connected with hypermethylation (r = 0.4089, p = 0.0147, and r = 0.3373, p = 0.0475, respectively). The higher levels of miR-355 and − 145 in BC cells induced apoptosis, arrested the cell cycle, and reduced proliferation significantly. In summary, we found that miR-335 and − 145 are novel tumor suppressors inactivated in BC, and these miRs may serve as potential therapeutic targets for breast cancer treatment.
PRKRA-related Dystonia: A Summary of Previously Reported Cases
Authors: Chin Hok Leong , Cheong Ka Kin 
Published: September 2022

Abstract
DYT-PRKRA is a rare autosomal recessive degenerative movement disorder caused by PRKRA mutations. The classical clinical presentation is childhood-onset generalized dystonia with or without parkinsonism symptoms. Limbs and oromandibular muscles are most frequently involved. A review of literature on reports of PRKRA-related dystonia from 2008 to present was conducted through PubMed to provide a synoptic overview of patients’ characteristics regarding this rare condition. Studies were extracted according to the PRISMA protocol, and a total of 15 articles were included in this review summary. The majority of cases were reported in Brazil and Europe, and 84.8% of patients’ symptoms onset before 20 years old. Among the patients, homozygous c.665C > T mutation was the most common PRKRA mutation. Dystonia was generalized in 81.8% of cases, and parkinsonism presentation was observed in 45.5% of patients. Three patients developed dystonia after fever and showed bilateral structure loss of basal ganglia. Four patients’ dystonia improved significantly with vitamin therapy, and four patients demonstrated remarkable dystonia regression in response to deep brain stimulation of globus pallidus interna. Phenotypic heterogeneity in patients’ characteristics was observed in this review, suggesting the possibility of PRKRA-related dystonia being a spectrum disorder. More research is needed to study the underlying etiology and the actual prevalence of PRKRA-related dystonia.
Retinitis pigmentosa and HLA-B27 associated uveitis
Authors: Zborovska Oleksandra , Dorokhova Oleksandra 
Published: September 2022

Abstract
Background.
The topic of an inflammatory process (of various types and localization) occurring in Retinitis pigmentosa (RP)-affected eyes can be found in literature. Recent studies suggest the importance of chronic inflammation in the pathogenesis of neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease and retinal degenerative diseases. Uveitis can develop independently of RP, and it`s important to distinguish true uveitis from inflammatory manifestations of RP.
Purpose.
In present study we report of RP associated with uveitis and suggest our consolidated thoughts and experience on this topic.
Materials and methods.
This study was a prospective non-controlled case series. 7 RP patients (14 eyes) with coexisted uveitis signs were enrolled the study.
Results.
Among 173 RP patients 7 patients (4 males, 3 females) had signs of intermediate uveitis and 3 of them also have signs of slight anterior uveitis. We found no sexual predilection. Mean age at the time of diagnosing uveitis was 26,9 years (19 to 37 years). Diagnosis of RP was preexisted our study more than 10 years in 4 patients, 3 years in 1patient, and 2 years in one patient. Only one patient was diagnosed RP and uveitis simultaneously in current study. In addition to classic picture of RP, patients had vitreous cells 1 + or 2+, and for vitreous haze 0,5 + or 1+. 5 patients had cystoids macular edema (CME). All patients had no acute onset of a floaters, blurred vision and deterioration in central vision. They had no systemic complaints. Additional examination revealed HLA-B27 positivity in 5 patients (2 males, 3 females). After appointment to rheumatologist 2 patients were made diagnosis ankylosing spondylitis of low activity, other cases were considered as HLA-B27 positive uveitis. Remaining two cases we considered as either idiopathic uveitis or pronounced inflammatory component of RP. Patients with uveitis were prescribed anti-inflammatory treatment (either local or systemic).
Conclusions
Possibility of HLA-B27 association should be considered in RP patients with anterior and intermediate uveitis signs in spite of sex, absence of acute onset of uveitic complaints and systemic complaints. Anti-inflammatory treatment (either local or systemic) is required in RP patients with inflammation signs.
Shoulder stretching versus shoulder muscle strength training for the prevention of shoulder and elbow injuries among high school baseball pitchers
Authors: Shitara Hitoshi , Tajika Tsuyoshi , Kuboi Takuro , Ichinose Tsuyoshi , Sasaki Tsuyoshi , Hamano Noritaka , Kamiyama Masataka , Yamamoto Atsushi , Kobayashi Tsutomu , Takagishi Kenji , Chikuda Hirotaka 
Published: September 2022

Abstract
Shoulder and elbow injuries seriously affect baseball players. We investigated the non-inferiority (NI) hypothesis that external rotation strength training presents no inferior effect when compared with sleeper stretching for shoulder and elbow injury prevention among high school baseball pitchers. In this randomized, active-controlled, open-label, NI study, 79 pitchers were randomly allocated to the stretching and muscle-training groups and performed a specific exercise every night. We applied sleeper stretching as an active control. Elbow and shoulder injury tracking was performed for 150 days. Kaplan–Meier survival curves were generated and the hazard ratios (HR) for injury occurrence using multivariate Cox regression were calculated. The log-rank test was used for between-group comparisons of survival distributions. A one-sided NI test using a fixed 10% NI margin was performed (significance level, P = 0.025). Sixty-two and 51 pitchers were included in the analysis of the stretching and training groups, respectively, with 22.6% (n = 14) and 9.8% (n = 5) injury rates, respectively. The NI test revealed lower incidence in the muscle-training group with pre-specified NI margin (P < 0.001). The HR was 0.489 in the muscle-training group based on the stretching group. In high school baseball pitchers, external rotation muscle strength training for baseball-related arm injury prevention was non-inferior to stretching.
Financial Derivative Features based Integrated Potential Fishing Zone (IPFZ) Future Forecast
Authors: Raja R. Vinston , Kumar K. Ashok , Doss Srinath 
Published: September 2022

Abstract
In India, around 7 million people depend on fishing for their livelihoods. They are assisted with a reliable and fast brief forecast for the areas of fish aggregations. Habitat mapping is critical in supporting strategic choices on fish usage and protection. In conjunction with techniques for machine learning, remote control has made comprehensive fish mapping on relevant scales possible. In machine learning, supervised algorithms are utilized to make forecasts from datasets, when data is accessible without relating output factors. In this research work, Ocean Surface Temperature (OST) and Satellite derived Chlorophyl material are the basic inputs to generating the information of PFZ. The 16 features and additional financial derivative features are used for accurate future prediction of PFZ. The unwanted and missing data are removed using effective pre-processing techniques. Among the various methods available for forecasting nonlinear phenomena, the Neural Network is the best and the efficient method to get a forecast. Therefore, the Function Fitting Neural Network (FFNN) technique is mainly used to predicting the IPFZ. The practical analysis is performed by analysing the 80%-20%, 60%-40% and future data in terms of various parameters. From the results, it is proved that the suggested FFNN achieved 90% of accuracy, where the existing neural network achieved 86% of accuracy by implementing with financial derivative features for the 80%-20% of available dataset.
3D facial reconstruction using micro and macro level features
Authors: Sundararajan Rajeshkannan , Radhakrishnan Prakash Veeraswamy , Govindarajan Saravanan , Ezhilarasi P. 
Published: September 2022

Abstract
A fundamental problem in computer visions and graphics, which has various applications such as animation and face recognition, is the reconstruction of 3D face models using 2D images. The main reason due to which this poses a challenge is the loss of information during camera projection. The initial step of this process is to compute a coarse estimation of the 3D face of the target by fitting a parametric face model to the input image based on an example. Afterwards, a smooth deformation that captures the medium scale facial features is applied to the coarse face model in order to enhance it. The lighting and reflectance parameters from the enhanced model is also estimated following which, an analysis-by-synthesis framework for face recognition with variant PIE (pose, illumination and expression) is proposed. In order to reconstruct a personalized 3D face model from a single frontal image with normal illumination and neutral expression, an integrated micro and macro level feature matching technique is introduced a robust probabilistic method for the estimation of macro features in Bayesian estimation theory, with a prior Markov random field model for the assigned disparities. This process, with the appropriate boundary conditions, is also used to estimate disparity in problematic regions of stereo pairs, such as occluded areas and non-textured (homogeneous) regions.Subsequently, to characterize the face subspace, realistic virtual faces are synthesized based on the personalized 3D face. Ultimately, the process of face recognition is conducted based on these virtual faces.
Small Scale Mr Damper : Design,fabrication and Evaluation
Authors: Sharma S. Vivekananda , Hemalatha G. 
Published: September 2022

Abstract
This article presents the results of an experimental investigation on a developed small scale MR damper for seismic response reduction in buildings. The damper is designed for a target capacity of 2kN.The damper was design and fabricated based on the principle of shear mode. Testing was done using MTS servo hydraulic UTM and the results were obtained as Force-velocity and Force displacement plot based on the real time data collected through MTS suite. The force corresponding to all the excitation frequency is obtained and has been plotted as force-velocity so as to compare the percentage increase in damping force. Maximum force was obtained as 252.4N at 1hz and minimum force as 175.9N at 0.1hz with corresponding velocity of 31.2mm/s for 1hz and 3.5mm/s for 0.2hz respectively. The experiment proves that with displacement control and variable excitation frequency, the velocity of the MR damper varies, and as a result, the damping force increases as frequency increases which is the main finding of this paper.
Long Term Survivors of Stereotactic Radiosurgery for Brain Metastases: Do Distant Brain Failures Reach a Plateau and What Factors Are Associated with a Brain Metastasis Velocity of Zero?
Authors: Lanier Claire M. , Pearce Jane , Isom Scott , Xing Fei , Lo Hui-Wen , Whitlow Christopher T. , Ruiz Jimmy , White Jaclyn J. , Laxton Adrian W. , Tatter Stephen B. , Cramer Christina K. , Chan Michael D. 
Published: September 2022

Abstract
Purpose
Life expectancy continues to increase for patients with brain metastases treated with stereotactic radiosurgery (SRS). The present study sought to retrospectively analyze brain metastasis patients who have survived two years or more, and assess for what factors may predict for a final brain metastasis velocity (BMV) of zero.
Methods
This was a single-institution retrospective study of 300 patients treated with SRS from 2001 to 2019 for brain metastases who survived greater than two years after first SRS. Final BMV is calculated by summing all metastases through the observed time divided by the total time in years. A BMV of zero is defined as at least two years of imaging follow-up without distant brain failure (DBF).
Results
Median age at first SRS is 61 (IQR: 53, 70). Kaplan-Meier estimated median overall survival is 4.9 years and time to DBF is 1.5 years (95% CI: 1.2, 2.0). Twenty-eight (9.3%) patients underwent subsequent WBRT. One hundred and one (33.7%) patients never had any further brain metastases (BMV = 0) at a median follow-up time of 3.3 years. Median BMV is 0.4 (IQR: 0, 1.4). Distant brain failures reach a plateau at four years where the cumulative incidence of DBF is 82%. Seventy percent of first time DBFs have occurred by two years. Factors significantly associated with a BMV of zero include fewer brain metastases at first SRS (HR 1.1; p = 0.0004) and Caucasian race (HR 1.5; p = 0.03).
Conclusion
Approximately one third of brain metastasis patients who live beyond two years after initial SRS have a BMV of zero. DBFs appear to reach a plateau at four years. Factors significantly associated with a BMV of zero include Caucasian race and having had a single brain metastasis at first SRS.