Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of a Secondary Trifocal Sulcus IOL in Providing Near and Intermediate Vision in Patients with Prior Myopic Laser Vision Correction and Cataract Surgery

Purpose To evaluate the visual function of patients with a history of prior laser vision correction and cataract surgery with implantation of a monofocal primary IOL after subsequent implantation of a secondary sulcus trifocal intraocular lens (IOL). Setting One clinical practice in Haugesund, Norway. Design Prospective, single arm, non-interventional unmasked study. Methods Eligible subjects who had previous laser vision correction and cataract surgery involving implantation of a monofocal IOL in the capsular bag of one or both eyes were subsequently implanted with a secondary IOL in the sulcus. Postoperative uncorrected and best distance-corrected visual acuities (VAs) were measured at distance (4 m), intermediate (60 cm), and near (40 cm), along with low contrast visual acuity and the monocular distance corrected defocus curve. Results Twenty-five eyes were evaluated from 7 to 24 months after trifocal implantation. The mean monocular uncorrected VAs were 0.06, 0.21 and 0.10 logMAR at distance, intermediate and near, respectively. Uncorrected near VA was 0.2 logMAR or better in 80% of eyes (20/25). VA of 0.2 logMAR or better at all test distances was achieved in 15/25 eyes (60%) in the uncorrected state and 17/25 eyes (68%) when corrected for distance vision. Binocular uncorrected distance visual acuity was 0.1 logMAR or better in all subjects while binocular uncorrected near visual acuity was 0.1 logMAR or better in all but one subject. The defocus curve showed a range of functional vision from distance to 30 cm. No adverse events were identified. Conclusion The trifocal sulcus IOL provided excellent distance and near vision and a good range of functional vision, similar to results obtained when a primary trifocal IOL is implanted. It is a viable option to provide better intermediate and near vision to patients with a prior history of refractive surgery and a monofocal IOL implanted.
Determinant Factors of E-Loyalty in Customer-to-Customer E-Commerce Moderated by Gender

E-commerce businesses dealt with one of the most important challenges, which was to create personalized e-loyalty for their customers to stay loyal to their e-commerce platform. The research used the 8C's framework developed to determine the effect of customization, contact interactivity, care, community, convenience, cultivation, choice, and character variables on e-loyalty by using gender as a moderating variable. A quantitative method was implemented by having 247 respondents belonging to the millennial category who have made online transactions on the C2C e-commerce platform at least once in the past month. Using the PLS-SEM method, the findings show that customization, contact interactivity, cultivation, community, and convenience can affect e-loyalty on C2C e-commerce platforms. In addition, the research finds that gender can have a moderating effect on customization and community.
Traditional Chinese Ink Painting Neural Style Transfer

Style transfer allows one style of an image to be transferred and applied to another image. A new research area called neural style transfer started to gain popularity since 2015 which makes use of the power of deep neural networks. Since then many researches in this area emerged, but most of them are trained and evaluated based on Western style images, and only a few discussed the neural style transfer applied to the traditional Chinese ink paintings. Traditional Chinese ink paintings are in a very different style because of its unique drawing techniques. In this project, we train models of several classical and popular neural style transfer networks, including the work by [3], [11] and [21] with traditional Chinese ink paintings, then we evaluate and compare the results. We also modify each of these methods by passing the edge detection map of the content images using HED [17] to evaluate if it can improve the results.
Nine-year trends of PM 10 sources and oxidative potential in a rural background site in France

Long-term monitoring at sites with relatively low particulate pollution could provide an opportunity to identify changes in pollutant concentration and potential effects of current air quality policies. In this study, 9-year sampling of PM 10 (particles with an aerodynamic diameter below 10 µm) was performed in a rural background site in France (Observatoire Pérenne de l’Environnement or OPE) from 28 February 2012 to 22 December 2020. The positive matrix factorization (PMF) method was used to apportion sources of PM 10 based on quantiﬁed chemical constituents and speciﬁc chemical tracers analysed on collected ﬁlters. Oxidative potential (OP), an emerging health metric that measures PM capability to potentially cause anti-oxidant imbalance in the lung, was also measured using two acellular assays: dithiothreitol (DTT) and ascorbic acid (AA). The sources of OP were also estimated using multiple linear regression (MLR) analysis. In terms of mass contribution, the dominant sources are secondary aerosols (nitrate- and sulfate-rich) associated with long-range transport (LRT). However, in terms of OP contributions, the main drivers are trafﬁc, mineral dust, and biomass burning factors. There is also some OP contribution apportioned to the sulfate- and nitrate-rich sources inﬂuenced by processes and ageing during LRT that could have encouraged mixing with other anthropogenic sources. The study indicates much lower OP values than in urban areas. A substantial decrease (58 % reduction from the year 2012 to 2020) in the mass contributions from the trafﬁc factor was found, even though this is not clearly reﬂected in its OP contribution. Nevertheless, the ﬁndings in this long-term study at the OPE site could indicate effectiveness of implemented emission control policies, as also seen in other long-term studies conducted in Europe, mainly for urban areas.
Binoculars: Contention-Based Side-Channel Attacks Exploiting the Page Walker

Microarchitectural side channels are a pressing security threat. These channels are created when programs modulate hardware resources in a secret data-dependent fashion. They are broadly classified as being either stateful or stateless (also known as contention-based), depending on whether they leave behind a trace for attackers to later observe. Common wisdom suggests that stateful channels are significantly easier to monitor than stateless ones, and hence have received the most attention. In this paper, we present a novel stateless attack that shows this common wisdom is not always true. Our attack, called Binoculars , exploits unexplored interactions between in-flight page walk operations and other memory operations. Unlike other stateless channels, Binoculars creates significant timing perturbations—up to 20,000 cycles stemming from a single dynamic instruction—making it easy to monitor. We show how these perturbations are address dependent, enabling Binoculars to leak more virtual address bits in victim memory operations than any prior channel. Binoculars needs no shared memory between the attacker and the victim. Using Binoculars, we design both covert-and side-channel attacks. Our covert channel achieves a high capacity of 1116 KB/s on a Cascade Lake-X machine. We then design a side-channel attack that steals keys from OpenSSL’s side-channel resistant ECDSA by learning the ECDSA nonce k . Binoculars’ ability to significantly amplify subtle behaviors, e.g., orderings of stores, is crucial for this attack to succeed because the nonce changes after each run. Finally, we fully break kernel ASLR.
Copper and Zinc in Soils Affected by Palm Oil Mill Effluent in Oghareki , Oghara Kingdom , Delta State , Nigeria

This study evaluates the physicochemical characteristics, total and available copper and zinc in soils affected by four palm oil mills effluent (POME) of Oghareki in Oghara Kingdom, Delta State, Nigeria using standard methods. The results showed generally increased pH, organic matter, electrical conductivity, available phosphorus, exchangeable bases and cation exchange capacity (CEC), compared to the non-POME-contaminated soils. Concentrations of the exchangeable bases increased in the order, Na < Mg < K <Ca, in both the POMEand nonPOME-soils. Data of total copper and zinc also revealed higher amounts in the POME soils. Total copper in POMEand non-POME-soils gave means of 0.232 and 0.212 mmol/kg, and 0.237 and 0.219 mmol/kg in respect of zinc, respectively, with no significant difference (P<0.05). The increased amounts of the different soil physicochemical parameters recorded in the POME-affected soils may be accounted for by their enhancement with every discharge of the effluent on one hand, and perhaps, the greater level of biodegradation and mineralization of the constituent organic matter, on the other. The study lends support to the view that raw palm oil mill effluent (POME) could alter the physicochemical properties of the receiving environment. DOI: https://dx.doi. org/10.4314/jasem.v26i6. 8 Open Access Article: (https://pkp.sfu.ca/ojs/) This an open access article distributed under the Creative Commons Attribution License (CCL), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Impact factor: http://sjifactor.com/passport.php? id=21082 Google Analytics: https://www.ajol. info/stats/bdf07303d34706088ffffbc8a92c9c1491b12470 Copyright:© 2022 Ako and Anegbe Dates: Received: 24March 2022; Revised: 30 May 2022; Accepted: 06 June 2022
Experimenting with Image Priors in Super-resolution CNNs

Single-image-super-resolution seeks to transform a single low resolution input image into a corresponding high-resolution output image. This problem lends itself well to convolutional image-to-image deep-learning approaches. Few such approaches have explicitly trained their networks on natural image priors. Here, an investigation of CNNs for super-resolution is presented with anisotropic total variation of network outputs included directly in the training loss. It is shown that such networks are capable of sharpening low-resolution inputs for both sysematically and generally downsampled images.
Synthetic Depth-Aware Defocus and Controllable Bokeh for Stylized Photography

In this project, we allow users to control the depth of field and the bokeh of photos, which are two main aesthetic features used by photographers and filmmakers. While most existing works consist of end-to-end models generating blur in the background of an image, our model aims at giving users creative freedom by separating the process into different comprehensible steps that we jointly optimize. Even though the trained modules have a limited impact on the resulting images, the overall process shows aesthetically pleasing and realistic results.
Learning word representations in a developmentally realistic order

We suggest that learning word representations in an order similar to that which children learn may affect properties of those representations. We propose the creation of synthetic datasets to study this question and introduce a method and tool to reorder existing datasets so that new words appear over time in an order that matches existing data on natural word order acquisition in humans. We show that word representations learned in a more natural order differ in some respects from those learned in the usual all at once, shufﬂed fashion, including showing greater stability. We also see that how much word representations change during training depends on when they are introduced.
Mis- and About Covid-19 Misinformation in Germany During the Covid-19 Pandemic A Cross-Sectional Survey on Citizens’ Perceptions and Individual Differences in the Belief in False Information

During the Covid-19 pandemic, people have been exposed to vast amounts of misinformation. This “infodemic” has undermined key behavioural and pharmacological measures to contain the pandemic. In a cross-sectional survey of residents of Germany, we investigated the perceived prevalence of misinformation, the strategies people reported using to discern between true and false information, and individual differences in beliefs in misinformation at three time points from June 2020 to February 2021 ( N = 3324). We observed four main results. First, there was an increase in the perceived prevalence of misinformation over time. Second, the most believed false claims included that the virus is no worse than the flu and that the EU has approved dangerous vaccines. Third, belief in misinformation was associated with support for the far-right AfD party; reliance on tabloids, neighbours and social media for information; lower levels of education; and migration background. Fourth, only about half of the respondents reported using strategies such as checking for consistency between different sources to identify misinformation. These results can inform the development of interventions, such as boosting the ability to discern accurate from misleading information, or enriching specific environments (e.g., neighbourhoods with high rates of migration) with accessible and high-quality information.
Tracking depression in institutionalized older adults

| Objective: to track depression in institutionalized older adults. Method: quantitative, exploratory and descriptive study, carried out in two nursing home, located in the state of São Paulo, in the year 2017. For data collection, two instruments were used: one to trace the profile of the elderly and the other, the Geriatric Depression Scale (GDS-15), for its psychometric properties and ease of application. Data treatment and analysis were performed using descriptive statistics. Approved by CEP under CAAE 65985917.2. 0000.5431. Results: 31 elderly people participated, it was found that: 16 (94%) residents in nursing home A and six (43%) of B had a score equal to or greater than six points, thus characterizing signs of depression, and having male (68%) and divorced (36%) older adults were more likely to be predisposed. Conclusion: it is necessary to develop strategies to deal with signs of depression and improve the quality of life in nursing homes.
CIA_A_328693 1025..1036

Background: Potentially inappropriate medications are major health concerns for patients aged ≥65 years. To investigate the prevalence of potentially inappropriate medications, Beer’s criteria can be used. We estimated the prevalence of potentially inappropriate medications prescription among patients aged ≥65 years admitted to Kuwait’s largest hospital and identified the predictors of prescribing a potentially inappropriate medication. Methods: A cross-sectional study was conducted retrospectively using inpatient records from the medical department at the Hospital in Kuwait from 1 January 2019 to 31 December 2019. The latest version of Beer’s criteria was used to identify potentially inappropriate medications in patients’ medical records. Data were analyzed descriptively to estimate the prevalence of potentially inappropriate medications and to describe participant characteristics. The predictors of potentially inappropriate medications prescribing were determined using binary logistic regression. Results: A total of 423 medical records of patients were collected. The mean age of the patients admitted was 76 ± 7 years, and 222 of them (52.5%) were women. Upon hospital admission, potentially inappropriate medication was prevalent in 58.4% of patients. The most prevalent potentially inappropriate medications identified were proton pump inhibitors (27.3%), diuretics (21.5%), antipsychotic agents (9%), selective serotonin reuptake inhibitors (5%), and methyldopa (4%). Polypharmacy, Alzheimer’s disease, depression, irritable bowel syndrome, hypothyroidism, chronic kidney disease were predictors of potentially inappropriate medications prescription. Conclusion: A high prevalence of potentially inappropriate medication prescription was observed among patients aged ≥65 years admitted to a hospital in Kuwait. The most likely predictor of potentially inappropriate medication prescription was polypharmacy.
Segmentation of Breast Cancer Tissue Using Deep Learning

This project applied deep learning methods to the tissue segmentation of breast cancer tissue, as captured in whole slide images. Encoder-decoder models were used and they gave a successful segmentation prediction that quantitatively and quantitatively agreed well with the ground truths. The best performing model was a Feature Pyramid Network (FPN) with a ResNet encoder, which gave an IoU score of 0.864. This shows supports the proposition that deep learning can be an effective method to segment breast cancer tissue, and contribute to to the calculation of a Tumor Infil-trating Lymphocytes score.
Abundances in planetary nebulae near the galactic center

The abundances of the planetary nebulae (PNe) in the galactic bulge are presented. Comparisons are made with the disk nebulae, the solar values, and the prediction based on the observed gradients in the disk. The mean abundances in the bulge PNe cannot be predicted by the observed gradient in the disk sample. Except for helium and nitrogen, which are systematically higher in the bulge, all other elements show distributions similar to their counterparts in the disk PNe. The relatively older age of the bulge objects suggests a much faster enhancement in the bulge. The significantly higher mean N/O ratio in the bulge PNe compared to the disk PNe, is caused by the much larger fraction of low abundance nebulae with a high N/O ratio in the bulge, rather than by having -on average- more massive progenitors. This is argued since the low abundance is noticed not only in the case of oxygen, which could be largely reduced if we allow for a more intensive ON-cycle to occur, but also in the cases of neon, sulfur, and argon - the elements which are believed to be essentially untouched by the nucleosynthesis in the PN progenitors. Several lines of evidence strongly argue that in the bulge, the production rates of elements and isotopes mostly produced in low and intemediate stars relative to those of elements mainly produced in massive stars, are higher than the corresponding ratios in the solar neighbourhood or in other positions in the disk. This probably indicates an initial mass function in the bulge which is different from that in the rest of the Galaxy. An evolutionary scenario for the bulge, allowing for a more efficient star formation and a much shorter timescale to collapse than in the disk, with an initial mass function such that the fraction of massive stars is lower than in the solar neighbourhood, is then proposed to explain the exisiting data.
Solar: Science of Entity Loss Attribution

The ability to accurately pinpoint the location of an event (e.g. loss, fault or bug) is of fundamental requirement in many systems. While we have state-of-the-art models to predict likelihood of an outcome, being able to pinpoint to the entity responsible for the outcome is also important. For example, in an e-commerce setup, a lost package detection system needs to infer the reason or location (delivery station, sort center, trucks) in case of a missing item, a network management system would like to diagnose nodes that are faulty based on end-end packet flow traces or a compiler needs to point out the exact location of a code that is erroneous. In this paper, we present an Attention based neural architecture for entity localization to accurately pinpoint the location of package loss in delivery network and bugs in erroneous programs. Our model performs well in scenarios where there is no annotation/ground truth for entities for localization. It can also adapt itself if annotations/ground truth is available for even a subset of entities by leveraging semi-supervision. The core of our model is a ladder-style architecture that helps us achieve state-of-the-art performance in both entity localization and detection. Further, to show the generality of our approach, we demonstrate its performance on a bug localization task for software programs. On a publicly available data-set, our solution outperforms the state-of-the-art technique by a significant margin.
Teacher Perceptions of One-to-One

The purpose of this study was to examine variables related to teachers’ perceptions of the impact of a one-to-one laptop program on learning. The participants were fifty-three high school teachers who taught at a school with a one-to-one laptop program. A mixed-methods design was implemented using a survey designed to determine the teachers’ self-reported level of technology adoption, demographic variables, professional development needs, and perception of the impact of one-to-one laptop availability on student academic performance. Findings indicate that most teachers identified themselves as Early Majority Adopters. A significant relationship was not found between the demographic variables and the participants’ perception of their level of technology adoption. An increase in the participants’ self-perceived level of technology adoption was positively related to their belief that students’ academic performance improved with the use of laptops. In addition, there was a significant positive relationship between the participants’ belief that they had adequate professional development for incorporating the laptops in instruction and learning, and the belief that laptops assisted students with improving the quality of their work. While the findings are not generalizable, results suggest that school librarians must support one-to-one device implementation through student training, teacher professional development, and ongoing technical support.
Ketamine-medetomidine compared to tiletamine-zolazepam-medetomidine for immobilisation of semi-captive cheetahs (Acinonyx jubatus).

ABSTRACT The immobilisation time and cardiopulmonary effects of ketamine-medetomidine (KM) and tiletamine-zolazepam-medetomidine (TZM) were compared in semi-captive cheetahs (Acinonyx jubatus). Seven healthy adult cheetahs were included in a randomised prospective crossover study. Each cheetah was immobilised on two occasions by remote injection, once with a combination of ketamine (4.93 ± 0.75 mg/kg) and medetomidine (0.038 ± 0.003 mg/kg) (KM) and once with tiletamine-zolazepam (1.16 ± 0.12 mg/kg) and medetomidine (0.039 ± 0.002 mg/kg) (TZM). Time to safe approach, characterised by absent responses to an ear flick and tail tug, was recorded as the immobilisation time. Following immobilisation, cardiopulmonary parameters were recorded, and an arterial blood gas sample analysed. Data is reported as mean ± SD and compared using a general linear mixed model (p < 0.05). Immobilisation times were no different between combinations, 11.4 ± 5.7 minutes for KM and 13.2 ± 4.6 minutes for TZM (p = 0.528). Systolic blood pressure was 218 ± 22 mmHg for KM and 210 ± 28 mmHg for TZM (p = 0.594). There was moderate hypoxaemia with both combinations with arterial oxygen partial pressure of 58.4 ± 6.6 mmHg for KM and 61.3 ± 4.2 mmHg for TZM (p = 0.368). Haematocrit was higher with KM (40.7 ± 2.5) than TZM (35.8 ± 2.8, p = 0.007). There were differences in electrolytes, with TZM resulting in higher serum potassium (4.3 ± 0.2 mmol/L, p < 0.001) and glucose (11.8 ± 2.9 mmol/L, p = 0.039) than KM. Both combinations provided acceptable immobilisation for field use, although severe hypertension was a consistent finding. Supplementation with oxygen is recommended with both combinations.