Miracle-dz/UniFAR-FTUs huggingface dataset:
Modified Glasgow coma scale for predicting outcome after subarachnoid hemorrhage surgery

Abstract There are many grading scales that attempt to predict outcome following aneurysmal subarachnoid hemorrhage (aSAH). Most scales used to assess outcome are based on the neurological status of the patient. Here, we propose a new scale for aSAH patients that combines the Glasgow Coma Scale (GCS) and the modified Fisher scale (mFS). Five hundred ninety-seven patients with aSAH who were treated at our institution between January 2008 and December 2017 were retrospectively analyzed. Initial GCS score, Hunt and Hess scale, World Federation of Neurosurgical Societies scale, mFS, and modified Rankin Scale were obtained by reviewing data. Incidence of vasospasm was investigated. Factors found to be significant on a multivariable regression analysis were used to develop a scale that was compared with other grading systems using the area under the curve (AUC) calculated from receiver operating characteristic curve. The GCS score and mFS were related to outcomes in patients with aSAH. A simple score, which we call the GCS-F score, was calculated using these initial data. The GCS-F score had an AUC of 90.5% for unfavorable outcome prediction, and 88.4% for in-hospital mortality prediction. On the receiver operating characteristic curve analysis for vasospasm, the AUC for World Federation of Neurosurgical Societies, mFS and GCS-F scores were 0.912, 0.704, and 0.936, respectively. A simple arithmetic combination of the GCS score and mFS, the GCS-F score, includes the radiographic status as well as the clinical status of the patient, so that the state of the patient can be known in more detail than other single scales. The GCS-F score may be a useful scale for predicting outcome and the occurrence of vasospasm in patients with aSAH.
MicroRNA-552 Accelerates the Progression of Gastric Cancer by Targeting FOXO1 and Regulating PI3K/AKT Pathway

The specific function of microRNA-552 (miR-552) has been investigated in several malignancies, except gastric cancer (GC). Therefore, this study was performed to determine the role of miR-552 in GC.GC tissues and adjacent non-tumor tissues were collected to determine the expressions of miR-552. Quantitative real-time polymerase chain reaction assays (RT-qPCR) and Western blot analysis were carried out to measure expression levels. The regulatory mechanism of miR-552 was explored by (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) MTT Assay, and Transwell assays. The binding site between miR-552 and FOXO1 was verified by dual-luciferase reporter assays. Upregulation of miR-552 expression was detected and associated with worse clinical outcomes in GC. Furthermore, high miR-552 expression predicted poor prognosis in GC patients. Functionally, upregulation of miR-552 promoted cell viability, metastasis, epithelial-mesenchymal transition (EMT), and phosphatidylinositol 3-kinase and protein kinase B (PI3K/AKT) pathway in GC. In addition, miR-552 was confirmed to target forkhead box O1 (FOXO1) directly and inversely regulate its expression in GC. Upregulation of FOXO1 reversed the carcinogenesis of miR-552 in GC. In conclusion, miR-552 serves as a tumor promoter in GC through targeting FOXO1 and regulating EMT and PI3K/AKT pathway.
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Background The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments consider contact tracing of citizens through apps installed on mobile phones as a key mechanism to contain the spread of SARS-CoV-2. Objective In this study, we sought to explore the suitability of artificial intelligence (AI)–enabled social media analyses using Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps in the United Kingdom. Methods We extracted and analyzed over 10,000 relevant social media posts across an 8-month period, from March 1 to October 31, 2020. We used an initial filter with COVID-19–related keywords, which were predefined as part of an open Twitter-based COVID-19 dataset. We then applied a second filter using contract tracing app–related keywords and a geographical filter. We developed and utilized a hybrid, rule-based ensemble model, combining state-of-the-art lexicon rule-based and deep learning–based approaches. Results Overall, we observed 76% positive and 12% negative sentiments, with the majority of negative sentiments reported in the North of England. These sentiments varied over time, likely influenced by ongoing public debates around implementing app-based contact tracing by using a centralized model where data would be shared with the health service, compared with decentralized contact-tracing technology. Conclusions Variations in sentiments corroborate with ongoing debates surrounding the information governance of health-related information. AI-enabled social media analysis of public attitudes in health care can help facilitate the implementation of effective public health campaigns.
Assessment of Computer Vision Syndrome and Personal Risk Factors among Employees of Commercial Bank of Ethiopia in Addis Ababa, Ethiopia

Background Computer vision syndrome (CVS) is an amalgam of visual symptoms caused by continued use of computers. Worldwide, up to 70 million workers are at risk for computer vision syndrome resulting in reduced productivity at work and reduced quality of life. Bank employees are among the risky workers with unknown magnitude of the syndrome. Therefore, the main aim of this study was to determine the prevalence of CVS and its associated personal factors among employees of Commercial Bank of Ethiopia. Methods A total of three hundred and fifty-nine bank workers participated in the study between February and March 2018. A self-administered structured questionnaire was used to collect sociodemographic data, CVS symptoms, and its personal factors. Snellen chart tool was used to measure blurred vision. Data entry and analysis were performed via Epi Info™ 7 and Statistical Package for the Social Sciences (SPSS) version 21. Binary logistic regression and multivariable logistic regression were performed to assess the association and control the potential confounders. Result The prevalence of computer vision syndrome in the last 12 months among the total study subjects, 359 (98% response rate), was 262 (74.6%) (95% confidence interval [CI] = 70.1, 79.5). Risk factors that could not be intervened with were sex (AOR: 1.8; 95% CI (1–3)) and age group (AOR: 3.11; 95% CI (1.2–8)). Causal factors that could be intervened with were use of electronic materials outside work (AOR: 3.11; 95% CI (1.15–8.36). Protective factor that could be intervened with was habit of taking a break (AOR: 0.44; 95% CI (0.3–0.8)). Conclusion and Recommendation. Three-fours of the employees were at risk. Sex, age, habit of taking a break, and use of electronic materials outside work environment were significantly associated with the presence of CVS. Remedial actions need to be considered at individual level.
Mechanical Behavior of Winegrapes under Compression Tests

Grape texture analyses were performed at ripeness on seven grapevine varieties (Barbera, Brachetto, Cabernet Sauvignon, Dolcetto, Freisa, Nebbiolo, and Pinot noir) collected during the 2004 and 2005 seasons in Piedmont, northwestern Italy. Different compression tests were applied on whole berry, skin, and seed and mechanical indices were estimated. Univariate and multivariate statistical analysis were applied to differentiate the varieties and to determine the main sources of variability present in the data sets. The texture indices in the grape characterization depended on variety and harvest season. Moreover, texture profile analysis (TPA) was the most appropriate test for grape differentiation.
Experimental evolution can enhance benefits of rhizobia to novel legume hosts

Legumes preferentially associate with and reward beneficial rhizobia in root nodules, but the processes by which rhizobia evolve to provide benefits to novel hosts remain poorly understood. Using cycles of in planta and in vitro evolution, we experimentally simulated lifestyles where rhizobia repeatedly interact with novel plant genotypes with which they initially provide negligible benefits. Using a full-factorial replicated design, we independently evolved two rhizobia strains in associations with each of two Lotus japonicus genotypes that vary in regulation of nodule formation. We evaluated phenotypic evolution of rhizobia by quantifying fitness, growth effects and histological features on hosts, and molecular evolution via genome resequencing. Rhizobia evolved enhanced host benefits and caused changes in nodule development in one of the four host–symbiont combinations, that appeared to be driven by reduced costs during symbiosis, rather than increased nitrogen fixation. Descendant populations included genetic changes that could alter rhizobial infection or proliferation in host tissues, but lack of evidence for fixation of these mutations weakens the results. Evolution of enhanced rhizobial benefits occurred only in a subset of experiments, suggesting a role for host–symbiont genotype interactions in mediating the evolution of enhanced benefits from symbionts.
Economic Growth in Emerging Market Countries

Emerging markets are important for global economic growth. In the post-crisis era, they played a vital role in global economic recovery. However, frequent financial turmoil in emerging markets over the years exposed flaws with the economic structures and financial markets of these countries. This articledescribes the overall economic conditions and structures of emerging markets and analyzes the driving forces of economic growth. It is established that emerging markets, especially of Asian countries, contributed significantly to the global economic growth over the last few decades. The main drivers of economic growth vary among the emerging markets. While some countries rely on energy resources, others have their economic growth driven by cheap labor and high savings. Meanwhile, emerging markets with rapid and stable economic growth over a long period of time have some characteristics in common. For example, they all carefully manage the opening-up processes. The articlealso investigates the major problems that emerging economies encounter in economic development. For example, the overreliance on the global market makes some countries vulnerable to external shocks; the fragile domestic financial market leads to frequent financial crises; the improper economic structure makes some countries excessively dependent on foreign markets; and some countries are stuck in economic stagnation.
Crossed Eyes: Domain Adaptation for Gaze-Based Mind Wandering Models

The effectiveness of user interfaces are limited by the tendency for the human mind to wander. Intelligent user interfaces can combat this by detecting when mind wandering occurs and attempting to regain user attention through a variety of intervention strategies. However, collecting data to build mind wandering detection models can be expensive, especially considering the variety of media available and potential differences in mind wandering across them. We explored the possibility of using eye gaze to build cross-domain models of mind wandering where models trained on data from users in one domain are used for different users in another domain. We built supervised classification models using a dataset of 132 users whose mind wandering reports were collected in response to thought-probes while they completed tasks from seven different domains for six minutes each (five domains are investigated here: Illustrated Text, Narrative Film, Video Lecture, Naturalistic Scene, and Reading Text). We used global eye gaze features to build within- and cross- domain models using 5-fold user-independent cross validation. The best performing within-domain models yielded AUROCs ranging from . 57 to . 72, which were comparable for the cross-domain models (AUROCs of .56 to .68). Models built from coarse-grained locality features capturing the spatial distribution of gaze resulted in slightly better transfer on average (transfer ratios of .61 vs .54 for global models) due to improved performance in certain domains. Instance-based and feature-level domain adaptation did not result in any improvements in transfer. We found that seven gaze features likely contributed to transfer as they were among the top ten features for at least four domains. Our results indicate that gaze features are suitable for domain adaptation from similar domains, but more research is needed to improve domain adaptation between more dissimilar domains.
Gaze+Hold: Eyes-only Direct Manipulation with Continuous Gaze Modulated by Closure of One Eye

The eyes are coupled in their gaze function and therefore usually treated as a single input channel, limiting the range of interactions. However, people are able to open and close one eye while still gazing with the other. We introduce Gaze+Hold as an eyes-only technique that builds on this ability to leverage the eyes as separate input channels, with one eye modulating the state of interaction while the other provides continuous input. Gaze+Hold enables direct manipulation beyond pointing which we explore through the design of Gaze+Hold techniques for a range of user interface tasks. In a user study, we evaluated performance, usability and user’s spontaneous choice of eye for modulation of input. The results show that users are effective with Gaze+Hold. The choice of dominant versus non-dominant eye had no effect on performance, perceived usability and workload. This is significant for the utility of Gaze+Hold as it affords flexibility for mapping of either eye in different configurations.
Conversion of Polyethylene Terephthalate Based Waste Carpet to Benzene-Rich Oils through Thermal, Catalytic, and Catalytic Steam Pyrolysis

Management of carpet wastes has become a substantial environmental issue in the United States. Specifically, reutilization of polyethylene terephthalate (PET) from waste carpet is increasingly problematic because of the steadily growing market share of PET-based carpets and the very low value of their wastes. In this work, we investigate pyrolysis as an option for repurposing PET carpet wastes. In particular, slow and fast, thermal and catalytic pyrolyses, with and without the co-feeding of steam, are investigated in terms of their selectivity to monoaromatic products. It is seen that higher temperatures increase the conversion of PET to aromatic hydrocarbons. Pyrolysis at slow heating rates is very selective to benzene production. Thermal pyrolysis of waste carpet produces significant amounts of benzoic acid and acetylbenzoic acid as liquid products, whereas catalytic pyrolysis enhances the decarboxylation of these acids, producing aromatic hydrocarbons. ZSM-5 and CaO are effective catalysts for enhancin.
Robust machine learning-enabled routing for highly mobile vehicular networks with PARRoT in ns-3

As implied by the high grade of relative mobility, the inherent network topology dynamics render aerial and ground-based vehicular mesh routing a highly challenging task. Since existing protocols are often not able to timely adopt their decision-making to the actual network conditions, they fail to provide reliable and efficient data delivery mechanisms. In this paper, we present the ns-3 integration of Predictive Ad-hoc Routing fueled by Reinforcement learning and Trajectory knowledge (PARRoT), a novel reinforcement learning-enabled routing protocol that integrates knowledge about the future motion of the mobile agents into the routing process.
Three new species of crustose Teloschistaceae in Siberia and the Far East

Abstract Three species of the family Teloschistaceae (lichenized Ascomycota) are described as new to science from Southern and Eastern Siberia and the Far East. Corticolous Caloplaca saviczii belongs to the genus Caloplaca s. str. ; it has C. cerina-like apothecia and green to grey-green, crateriform soralia with a white rim. Lendemeriella aureopruinosa is a saxicolous taxon with a thin grey thallus and small apothecia 0.3–0.6 mm in diameter, with a dark orange disc usually bearing epipsamma and often with a grey true exciple containing the pigment Cinereorufa-green. Orientophila infirma is a corticolous species with an endophloeodal thallus and small orange apothecia, 0.2–0.3 mm in diameter, usually with an inconspicuous thalline exciple. All new taxa presumably have a boreal north-eastern distribution in Asia.
Attitudes, perceptions and behaviours regarding meat consumption in Germany: results of the NEMONIT study

Abstract Meat consumption in Germany is presently higher than recommended for a healthy and sustainable nutrition. Therefore, the aim of the present study was to explore German consumers’ attitudes, perceptions and behaviours regarding meat consumption based on data from 1807 participants (20–80 years) of the NEMONIT study (2012/13). Data were obtained using computer-assisted telephone interviews including 24-h recalls and a food-frequency questionnaire (FFQ). The majority (97 %) of the participants were meat consumers and most of them stated that an ideal meal should contain meat. Their main motives for meat consumption were good taste, usual habit and the perception of meat as a healthy and satiable food. The stated meat consumption frequency was higher than the ‘desired’ consumption frequency, answered in a FFQ. Most participants would agree with two meat meals per week, but only 17 % assumed that the German population would agree. Therefore, framework conditions do not motivate people enough to reduce their meat consumption. Options for action which can be implemented in daily routine are needed. Meat is still a largely appreciated food in Germany, but the results indicate a potential for behavioural changes which must be exploited urgently to reduce meat consumption to a healthy and sustainable level.
Purification and Characterization of Extracellular Polygalacturonase from Pleurotus Ostreatus Using Citrus Limonium Waste.

2 Abstract: Extracellular polygalacturonase (PG) from Pleurotus ostreatus NRRL-0366 using Lemon Peel (citrus limonium) as a substrate have been purified and characterized. The enzyme was purified to a homogenous form with about 27 fold purification and specific activity 158U/mg protein by two chromatographic steps in DEAE cellulose and sephacryl S-300. The extracellular PG was a monomer protein with a molecular weight of 21KDa determined by SDS gel electrophoresis and 20KDa determined by gel filteration techniques. The optimal PH and temperature values were 3.5, 30°C respectively. The enzyme was stable at 30°C, pH (3.0-3.5). PG was able to hydroly pectin and partially polygalacturonic acid exhibiting km of 1.33 mg ml and Vmax of 28.6. imol min . The effect of different metal cations -1 -1 at 1mM concentration on the enzyme activity was studied.
A Spatiotemporal Map of Reading Aloud

Reading words aloud is a fundamental aspect of literacy. The rapid rate at which multiple distributed neural substrates are engaged in this process can only be probed via techniques with high spatiotemporal resolution. We probed this with direct intracranial recordings covering most of the left hemisphere in 46 humans (26 male, 20 female) as they read aloud regular, exception and pseudo-words. We used this to create a spatiotemporal map of word processing and to derive how broadband γ activity varies with multiple word attributes critical to reading speed: lexicality, word frequency, and orthographic neighborhood. We found that lexicality is encoded earliest in mid-fusiform (mFus) cortex, and precentral sulcus, and is represented reliably enough to allow single-trial lexicality decoding. Word frequency is first represented in mFus and later in the inferior frontal gyrus (IFG) and inferior parietal sulcus (IPS), while orthographic neighborhood sensitivity resides solely in IPS. We thus isolate the neural correlates of the distributed reading network involving mFus, IFG, IPS, precentral sulcus, and motor cortex and provide direct evidence for parallel processes via the lexical route from mFus to IFG, and the sublexical route from IPS and precentral sulcus to anterior IFG. SIGNIFICANCE STATEMENT Reading aloud depends on multiple complex cerebral computations: mapping from a written letter string on a page to a sequence of spoken sound representations. Here, we used direct intracranial recordings in a large cohort while they read aloud known and novel words, to track, across space and time, the progression of neural representations of behaviorally relevant factors that govern reading speed. We find, concordant with cognitive models of reading, that known and novel words are differentially processed through a lexical route, sensitive to frequency of occurrence of known words in natural language, and a sublexical route, performing letter-by-letter construction of novel words.
Alpha Oscillatory Activity Causally Linked to Working Memory Retention: Insights from Online Phase-corrected Closed-loop Transcranial Alternating Current Stimulation (tACS)

Although previous studies have reported correlations between alpha oscillations and the “retention” sub-process of working memory (WM), causal evidence has been limited in human neuroscience due to the lack of delicate modulation of human brain. Conventional tACS is not suitable for demonstrating the causal evidence for parietal alpha oscillations in WM retention because of its inability to modulate brain oscillations within a short period (i.e., the retention sub-process). Here, we developed an online phase-corrected closed-loop transcranial alternating current stimulation (tACS) system capable of precisely correcting for the phase differences between tACS and concurrent endogenous oscillations. This system permits both up- and down-regulation of brain oscillations at the target stimulation frequency within a short stimulation period, and is here applied to empirically demonstrate that parietal alpha oscillations causally relate to WM retention. Our experimental design included both in-phase and anti-phase alpha-tACS applied to 39 participants during the retention sub-processes of a modified Sternberg paradigm. Compared to in-phase alpha-tACS, anti-phase alpha-tACS decreased both WM performance and alpha activity. Moreover, the in-phase tACS-induced changes in WM performance were positively correlated with alpha oscillatory activity. These findings strongly support a causal link between alpha oscillations and WM retention, and illustrate the broad application prospects of phase-corrected tACS.
Projecting Land use change with neural network and GIS in northern Melbourne for 2014–2050

ABSTRACT Melbourne is one of the most livable cities in the world and it is expected to become a global city of opportunities by 2050. These features along with some of the challenges Melbourne will face with in the future, necessitate land use change simulations. Therefore, land use changes in north Melbourne with an area of 2,425.42 km2 during 2014–2019 and its future changes until 2030 and 2050 have been simulated. Landsat 8 Operational Land Imager (OLI) and Multilayer Perceptron (MLP) neural networks were used along with Markov chain model in ArcGIS and TerrSet software. Results showed that while proportions of residential and industrial–commercial land uses increased from 35.90% (870.70 km2) in 2014 to 38.53% (934.50 km2) in 2019, that of forest and agricultural-grassland decreased from 62.86% (1,524.01 km2) in 2014 to 57.76% (1,400.99 km2) in 2019. Similarly, the simulation results show that residential and industrial–commercial land use will increase to 42.86% (1,037.139 km2) and 44.53% (1,079.99 km2) by 2030 and 2050, respectively. In the same period, forest and grassland-agricultural land uses are respectively expected to decline from 53.53% (1298.53 km2) to 51.76% (1255.49 km2). Spatial changes will occur mostly in the north and northwest of the Melbourne.