bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Exploratory Content and Sentiment Analysis of The Guardian Metaverse Articles Using Leximancer and Natural Language Processing
Authors: Tunca Sezai , Sezen Prof.Dr. Bulent , Wilk Violetta 
Published: July 2022

Abstract
The metaverse has become one of the most popular concepts of recent times. Companies and entrepreneurs are fiercely competing to invest and take part in this virtual world. Millions of people globally are anticipated to spend much of their time in the metaverse, regardless of their age, gender, ethnicity, or culture. There are few comprehensive studies on the positive/negative sentiment and effect of the newly identified, but not well defined, metaverse concept that is already fast evolving the digital landscape. Thereby, this study aimed to better understand the metaverse concept, by, firstly, identifying the positive and negative sentiment characteristics and, secondly, by revealing the associations between the metaverse concept and other related concepts. To do so, this study used Natural Language Processing (NLP) methods, specifically Artificial Intelligence (AI) with computational qualitative analysis. The data comprised metaverse articles from 2021–2022 published on The Guardian website, a key global mainstream media outlet. To perform thematic content analysis of the qualitative data, this research used the Leximancer software, and the The Natural Language Toolkit (NLTK) from NLP libraries were used to identify sentiment. Further, an AI-based Monkeylearn API was used to make sectoral classifications of the main topics that emerged in the Leximancer analysis. The key themes which emerged in the Leximancer analysis, included "metaverse", "Facebook", "games" and "platforms". The sentiment analysis revealed that of all articles published in the period of 2021–2022 about the metaverse, 61% (n = 622) were positive, 30% (n = 311) were negative, and 9% (n = 90) were neutral. Positive discourses about the metaverse were found to concern key innovations that the virtual experiences brought to users and companies with the support of the technological infrastructure of blockchain, algorithms, NFTs, led by the gaming world. Negative discourse was found to evidence various problems (misinformation, harmful content, algorithms, data, and equipment) that occur during the use of Facebook and other social media platforms, and that individuals encountered harm in the metaverse or that the metaverse produces new problems. Monkeylearn findings revealed “marketing/advertising/PR” role, “Recreational” business, “Science & Technology” events as the key content topics. This study’s contribution is twofold: first, it showcases a novel way to triangulate qualitative data analysis of large unstructured textual data as a method in exploring the metaverse concept; and second, the study reveals the characteristics of the metaverse as a concept, as well as its association with other related concepts. Given that the topic of the metaverse is new, this is the first study, to our knowledge, to do both.
Suboptimal phenotypic reliability impedes reproducible human neuroscience
Authors: Nikolaidis Aki , Chen Andrew , He Xiaoning , Shinohara Russell , Vogelstein Joshua , Milham Michael , Shou Haochang 
Published: July 2022

Abstract

Biomarkers of behavior and psychiatric illness for cognitive and clinical neuroscience remain out of reach1–4. Suboptimal reliability of biological measurements, such as functional magnetic resonance imaging (fMRI), is increasingly cited as a primary culprit for discouragingly large sample size requirements and poor reproducibility of brain-based biomarker discovery1,5–7. In response, steps are being taken towards optimizing MRI reliability and increasing sample sizes8–11, though this will not be enough. Optimizing biological measurement reliability and increasing sample sizes are necessary but insufficient steps for biomarker discovery; this focus has overlooked the ‘other side of the equation’ - the reliability of clinical and cognitive assessments - which are often suboptimal or unassessed. Through a combination of simulation analysis and empirical studies using neuroimaging data, we demonstrate that the joint reliability of both biological and clinical/cognitive phenotypic measurements must be optimized in order to ensure biomarkers are reproducible and accurate. Even with best-case scenario high reliability neuroimaging measurements and large sample sizes, we show that suboptimal reliability of phenotypic data (i.e., clinical diagnosis, behavioral and cognitive measurements) will continue to impede meaningful biomarker discovery for the field. Improving reliability through development of novel assessments of phenotypic variation is needed, but it is not the sole solution. We emphasize the potential to improve the reliability of established phenotypic methods through aggregation across multiple raters and/or measurements12–15, which is becoming increasingly feasible with recent innovations in data acquisition (e.g., web- and smart-phone-based administration, ecological momentary assessment, burst sampling, wearable devices, multimodal recordings)16–20. We demonstrate that such aggregation can achieve better biomarker discovery for a fraction of the cost engendered by large-scale samples. Although the current study has been motivated by ongoing developments in neuroimaging, the prioritization of reliable phenotyping will revolutionize neurobiological and clinical endeavors that are focused on brain and behavior.
Ultrasound-guided reduction of intussusception in infants in a developing world: saline hydrostatic or pneumatic technique?
Authors: Chukwu Isaac S , Ekenze Sebastian O , Ezomike Uchechukwu O , Chukwubuike Kevin E , Ekpemo Samuel C 
Published: July 2022

Abstract
Purpose: Non-operative reduction has emerged as first line in the management of uncomplicated intussusception. The aim of this study was to compare the outcome of saline hydrostatic reduction and pneumatic reduction of intussusception in infants.Methods: This is a prospective study of infants with uncomplicated intussusception confirmed by ultrasound over a period of twenty-one months from December, 2018 to August, 2020. Fifty-two (69.3%) out of seventy-five infants underwent enema reduction under ultrasound guidance. The success rates, time to reduction and complication rates were assessed.Results: The success rates, between the saline hydrostatic reduction group and pneumatic reduction group, were comparable [17(65.4%) versus 19(73.1%); relative risk (RR) 0.8; 95% confidence interval (CI) 0.6-1.2; p=0.54]. The mean time to reduction was higher in the saline hydrostatic reduction group (15.4 ± 5.1 minutes versus 10.8 ± 4.1 minutes; p=0.003). The two groups had similar complication rates; for perforation [1(3.8%) versus 0(0.0%); RR 0.9 (CI 0.9-1.0); p=0.31] and recurrence [2(7.7%) versus 1(3.8%); RR 0.9 (CI 0.8-1.0); p=0.55].Conclusion: Saline hydrostatic reduction and pneumatic reduction of uncomplicated intussusception under ultrasound guidance in infants might have comparable outcomes. However, pneumatic reduction may be faster.
Phase cycle slip detection of LEO satellites based on the second-order time-difference model with dynamic orbital constraints
Authors: Gao Geng , Zou Xiancai , Zhang Shoujian , Wei Hui , Kuang Kaifa , Zhu Kemin , Li Jiancheng 
Published: July 2022

Abstract
The cycle-slip detection is the prerequisite for achieving the utmost precise carrier-phase measurements for the low earth orbit (LEO) spaceborne Global Navigation Satellite System (GNSS) receivers. However, the issue has not yet been solved entirely due to the limitations of traditional cycle-slip detection methods. In the paper, we proposed a novel cycle-slip detection method based on the second-order time-difference phase ionosphere-free (IF) or wide-lane (WL) observations with dynamic orbital constraints. Nominal orbits at the dm-level accuracy and the earth gravity field of at least 30 degrees and orders (d/o) within 30 s or higher sampling rate data could guarantee the proposed method reliable for the flying altitude of near 500 km of LEO satellites. To validate the proposed method effectiveness, numeric experiments with comparisons to the traditional cycle-slip detector based on the Melbourne–Wübbena (MW) combination are carried out with well-chosen measurements for the LEO satellite under ionospheric activities of different levels. The results, in terms of the correctness and misjudgment of the cycle slips detected and the precision of estimated orbit, indicate that, on the one hand, the detector based on the proposed phase IF test parameters are superior to one based on the proposed phase WL test parameters or the MW combinations under any level of ionospheric activities; on the other hand, under highly active ionospheric activities, the proposed phase WL cycle-slip detector discovers a fewer number of real cycle slips, which are flagged by the reference method introduced in the paper, but more misjudgments than the MW cycle-slip detector does, which leads to the inferior of the WL cycle-slip detector. However, the phase WL cycle-slip detector performs slightly better than the MW cycle-slip detector under moderately active and very quiet ionospheric activities. In view of the developing multi-frequency multi-GNSS uncombined observation data scanning, the proposed phase IF test parameter accompanied with the MW combinations is recommended to be applied to the cycle-slip detection if the predictable ionospheric refraction lies at the strongly intensive level of the ionospheric activity. Otherwise, the proposed phase WL test parameter would be involved.
An Inquiry of Environmental Kuznets Curve inBangladesh: A STIRPAT Analysis
Authors: Borsha Faria Hossain , Voumik Liton Chandra , Datta Arpita 
Published: July 2022

Abstract
This paper empirically examines the existence of the environmental Kuznets (EKC) curve in Bangladesh. To fulfill that purpose the stochastic impacts by regression on population, affluence, and technology (STIRPAT) approach is employed over the 1971 to 2020 periods.In this study, the F-bound test is utilized to establish the existence of the co-integration relationship among variables. And the short-run and long-run elasticity of explanatory variables is investigated by employing the Autoregressive Distributed Lag (ARDL) approach. This research also employed a pairwise granger causality test to explore the direction of causality between them.Empirical result prove the existence of co-integration relationship among CO2 emission, GDP per capita, quadratic form of GDP per capita, population and R&D. The findings provide strong support for the presence of the EKC in the case of Bangladesh. Beside that significant inverse relationship also obtained between CO2 emission and the level of Technological advancement or R&D.The presence of EKC hypothesis argues that Bangladesh has the capacity to accomplish sustainable economic development. This study strongly advocates for higher government investment in research and development in tertiary level education which is indispensable for a green economy.In the context of Bangladesh, the STIRPAT-based EKC theory has not been the subject of a significant number of investigations. Regarding the short and long run presence of EKC in the Bangladeshi economy, there is substantial debate among scholars. Our study will contribute to future research on the short- and long-run presence of EKC in Bangladesh's economy.JEL: C22, E22, O13, O32, O44, Q50
Standardization of the novel aquaponic system for the production of Tilapia fish Oreochromis niloticus integrated with Millet (Brassica nigra) and Mustard (Pennisetum glaucum) plant: A sustainable approach to reduce the water scarcity through recirculating aquaculture system
Authors: Jayaprakash Karuppusetti , Muthuselvam Manickam , devi Karuppaiya Nanthini , Santhanam Perumal , Kumar Sundarraj Dinesh , Gunabal Shanmugam , Krishnaveni Nagarajan , Roopavathy Jhon , Aravinth Annamalai , Dhanasundaram Sundaramoorthy , Perumal Pachiappan 
Published: July 2022

Abstract
The present study has shown that the aquaponics system provides certain environmental benefits when compared to the traditional agriculture systems. Presently, the low-cost small scale aquaponics system was standardised by Nutrient Film Technique. The water quality characteristics of Nutrient Film Technique (NFT) were stable as per the USEPA regulations. The values of the growth and weight gain features of millet and mustard plants at different days were significantly different (p<0.05). Growth rate was gradually increased significantly (p<0.01) during different culture periods. The ANOVA results revealed the recorded biochemical-values of NFT -raised organisms exhibited a less significance (p<0.04). The biochemical contents of millet plant showed significantly decreased values (p<0.03). The mean±SD values represents the NFT system plant growth exhibited an increased (p<0.05) significantly different with control. The NFT technique grown millet and mustard plants showed increased (p<0.05) significantly different with control experiment grown plants. Chlorophyll ‘a’ was high (8.17mg) in NFT and low (2.34mg) in control. Maximum chlorophyll ‘b’ content was 8.45mg in plants experiment with NFT and minimum obtained (0.84mg) in control. Carotenoid content was high 707mg in plants grown through NFT followed by low content (239mg) in control-plant. In addition, NFT system has obtained maximum number of colonies compared with control. Further investigation and implementation of alternative food systems could be a step in increasing local food production, and shifting away from the industrial global food market.
Searching for a prognostic index in lupus nephritis
Authors: Rodríguez-Almaraz Esther , Gutiérrez-Solís Elena , Rabadán Elena , Rodríguez Paola , Alonso Marina , Carmona Loreto , Yébenes Mª Jesús García , Morales Enrique , Galindo-Izquierdo María 
Published: July 2022

Abstract
BackgroundCurrently we do not have an ideal biomarker in lupus nephritis (LN) that should help us to identify those patients with SLE at risk of developing LN or to determine those patients at risk of renal progression. We aimed to evaluate the development of a prognostic index for LN, through the evaluation of clinical, analytical and histological factors used in a cohort of lupus. We have proposed to determine which factors, 6 months after the diagnosis of LN, could help us to define which patients will have a worse evolution of the disease and may be, more aggressive treatment and closer follow-up.MethodsA retrospective study to identify prognostic factors was carried out. We have included patients over 18 years of age with a clinical diagnosis of systemic lupus erythematosus (SLE) and kidney involvement confirmed by biopsy, who are followed up in our centre during the last 20 years. A multi-step statistical approach will be used in order to obtain a limited set of parameters, optimally selected and weighted, that show a satisfactory ability to discriminate between patients with different levels of prognosisResultsWe analyzed 92 patients with LN, although only 73 have been able to be classified according to whether or not they have presented poor renal evolution. The age of onset (44 vs 32; p=0.024), the value of serum creatinine (1.41 vs 1.04; p=0.041), greater frequency of thrombocytopenia (30% vs 7 %; p=0.038), higher score in the renal chronicity index (2.47 vs 1.04; p=0.015), proliferative histological type (100%) and higher frequency of interstitial fibrosis (67% vs 32%; p=0.017) and tubular atrophy (67% vs 32%; p=0.018) was observed between two groups. The multivariate analysis allowed us to select the best predictive model for poor outcome at 6 months based on different adjustment and discrimination parameters. ConclusionWe have developed a prognostic index of poor renal evolution in patients with LN that combines demographic, clinical, analytical and histopathological factors, easy to use in routine clinical practice and that could be an effective tool in the early detection and management.
A chatter detection method in milling based on grey wolf optimization VMD and multi-entropy features
Authors: Liu Bo , Liu Changfu , Zhou Yang , Wang Daohai 
Published: July 2022

Abstract
In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a crucial factor affecting many aspects such as surface quality, processing efficiency and tool life. In this paper, a novel online chatter detection method for milling processes is proposed. In this method, firstly, periodic signal and noise parts are filtered by comb filter and empirical mode decomposition (EMD), respectively. Then, signal reconstruction is performed on the intrinsic mode functions (IMFs) based on the Pearson correlation coefficient. GWO is applied to reconstruct the signal to obtain optimized parameters. Subsequently, the reconstructed signal is decomposed by VMD with the optimal parameters. To get the frequency band in rich chatter information, the energy entropy characteristics of each order IMFs are calculated and the IMFs with entropy values greater than 0.3 are chosen as the second reconstructed signal. Finally, the multiscale permutation entropy (MPE) and multiscale fuzzy entropy (MFE) of the selected IMFs are calculated. Based on the value range of entropy in each processing state, the optimal scale feature is selected. The analysis results show that the proposed method can effectively detect the milling processing state based on the best scale.
Blood Supply Chain Management Using Blockchain Technology
Authors: N Nasurudeen Ahamed , VIGNESH R 
Published: July 2022

Abstract
The blood supply accessible for blood bonding diminishes and requests increments. In any case, existing brought together blood the board frameworks have impediments in that they need itemized blood data and, additionally, data isn’t reflected continuously. To take care of this issue, this paper presents an inventive blood cold chain framework dependent on blockchain innovation. Blockchain is one of the arising innovations in use in numerous businesses like (Medical/Smart cities/Voting/etc..,). In this paper, we talk about blood supply the board utilizing blockchain innovation. The proposed framework plans to expand data permeability by recording the general data on the blood supply to the conveyed record. Since we need to utilize the consent blockchain that implies hyperledger texture every one of the exchanges is straightforward so we can keep away from the specialists and stop the blood to sell in the bootleg market. In this strategy, we utilized the savvy contract for a consent network that implies cold chain (Go Language/Java) code to be composed so third people cannot mess with the information. Data in the proposed blood cold chain framework can’t be produced or altered, also, data recorded and partook continuously is kept straightforward.
Necessity of routine perioperative peridual catheter placement in laparoscopic colorectal resections: A prospective data analysis
Authors: Koehler Anja , Koch Franziska , El-Ahmar Mohamad , Ristig Matthias , Ritz Jörg-Peter 
Published: July 2022

Abstract
Purpose:
Whether epidural anesthesia leads to further improvement in the postoperative course of colorectal procedures is under discussion. This study aimed to evaluate the effects of performing minimally invasive colorectal oncological interventions without a peridural catheter (PDK).
Methods:
This prospective data analysis included all patients with minimally invasive oncological colorectal resection who underwent surgery at our clinic between January 2013 and April 2019. Of 385 patients who met the inclusion criteria, 183 (group I; 47.5% of 385) received a PDK and 202 (group II; 52.5% of 385) did not. Relevant target parameters were evaluated and compared between the groups.
Results:
Group I (n = 183; women, 77; men, 106; age 66.8 years) were younger (p = 0.0035), received a urinary catheter more often (99.5% versus [vs.] 28.2% p < 0.001), required longer, more frequent arterenol treatment (1.1 vs. 0.6 days; p < 0.001), and had a longer intermediate care unit stay than group II (2.8 vs. 1.1 days; p < 0.001). Postoperative pain levels were not significantly different between the groups (p = 0.078). Group I showed later mobilization than group II (4 vs. 2 days; p < 0.001). The postoperative day of the first defecation in both groups was not significant (p = 0.236). Postoperative complications such as bleeding (p = 0.396), anastomotic leaks (p = 0.113), and wound infections (p = 0.641) did not differ between the groups. Group I had a significantly longer hospital stay than group II (12.2 vs. 9.4 days; p < 0.001).
Conclusion:
The omission of a PDK in elective minimally invasive colorectal resections can be safely implemented and is accompanied by no relevant disadvantages to the patient.
Humoral response and safety of the BNT162b2 and mRNA-1273 COVID-19 vaccines in allogeneic hematopoietic stem cell transplant recipients: an observational study
Authors: Shimomura Yoshimitsu , Nishikubo Masashi , Maruoka Hayato , Nasu Seiko , Nishioka Tomomi , Sakizono Kenji , Mitsuyuki Satoshi , Kubo Tomoyo , Okada Naoki , Nakagawa Daishi , Kamijo Kimimori , Imoto Hiroharu , Yamamoto Ryusuke , Nagai Yuya , Hiramoto Nobuhiro , Yoshioka Satoshi , Yonetani Noboru , Matsushita Akiko , Miyakoshi Chisato , Doi Asako , Ishikawa Takayuki 
Published: July 2022

Abstract
The effectiveness of mRNA COVID-19 vaccines and the optimal timing of vaccine administration in allogeneic hematopoietic stem cell transplantation (Allo-HSCT) recipients remains inadequately investigated. We examine the effectiveness and safety of mRNA COVID-19 vaccines in allo-HSCT recipients. This prospective observational study included 44 allo-HSCT recipients and 38 healthy volunteers. The proportion of subjects acquiring anti-S1 IgG antibodies were considered as the primary endpoint. The occurrence of adverse events after vaccination and objective deterioration of chronic graft-versus-host disease (GVHD) were defined as secondary endpoints. In addition, we compared anti-S1 antibody titers in subgroups based on time interval between transplantation and vaccination. A humoral response to the vaccine was evident in 40 (91%) patients and all 38 healthy controls. The median anti-S1 IgG titers were 395 and 499 BAU/mL in patients and healthy controls, respectively (p = 0.606). A short time interval between transplantation and vaccination (≤ 6 months) was associated with low anti-S1 IgG antibody titers. No serious adverse events and deterioration of chronic GVHD were observed. Only one case of new development of mild chronic GVHD was recorded. Messenger RNA COVID-19 vaccines induce humoral responses in allo-HSCT recipients and can be administered safely.