Miracle-dz/UniFAR-FTUs huggingface dataset:
ACUTE COLD UNILATERAL ISOLATED PTOSIS WITH RAPID RESPONSE OF HIGH DOSE OF STEROID

A 23-year-old female presented with acute onset left painless ptosis of 5 days duration. No other ocular or neurological symptoms were associated. Ophthalmological examination was free with noticed brisky pupil reaction. Both systemic and neurological examinations were free. CT and MRI imaging were free with no swollen levator or any extra ocular muscles. After showing no improvement over 5 days with no medications the patient started oral prednisolone in low dose 15 mg per day after one week no improvement detected then high steroid therapy 45 mg per day was given with marked improvement within couple of days. The same dose was prescribed for 5 days with gradual withdrawal over 2 weeks. The patient remains symptomless all over six months which is the follow-up period. Conclusion: Acute ptosis may indicate serious pathology or may be simple pathology with rapid improvement.
The magnetic structure of EuCu 2 Sb 2

Antiferromagnetic ordering of EuCu2Sb2 which forms in the tetragonal CaBe2Ge2-type structure (space group P4/nmm #129) has been studied using neutron powder diffraction and 151Eu Mössbauer spectroscopy. The room temperature 151Eu isomer shift of −12.8(1) mm s−1 shows the Eu to be divalent, while the 151Eu hyperfine magnetic field (Bhf ) reaches 28.7(2) T at 2.1 K, indicating a full Eu2+ magnetic moment. Bhf (T) follows a smooth S = 7 2 Brillouin function and yields an ordering temperature of 5.1(1) K. Refinement of the neutron diffraction data reveals a collinear A-type antiferromagnetic arrangement with the Eu moments perpendicular to the tetragonal c-axis. The refined Eu magnetic moment at 0.4 K is 7.08(15) μB which is the full free-ion moment expected for the Eu2+ ion with S = 7 2 and a spectroscopic splitting factor of g = 2.
Anti-nociceptive mechanisms of Melilotus officinalis Linn. ethanoic extract in mice: Involvement of opioidergic, nitrergic and muscarinic receptors

Background and Objective: Pain is a physiologic protective function with regard to external or internal harmful stimulus or tissue damage. The aim of the current study was to determine anti-nociceptive activity of Melilotus officinalis (Linn.) extract on formalin-induced pain in mice. Materials and Methods: In experiment 1, adult male mice were injected (i.p) with saline, ethanoic extract of Melilotus officinalis (Linn.) (EEMO) (100, 200 and 400 mg/kg) or morphine (5 mg/kg). In experiment 2, mice were injected with saline, EEMO (400 mg/kg), naloxone (2 mg/kg) and co-injection of EEMO (400 mg/kg) + naloxone (2 mg/kg). In experiment 3, animal received i.p injection of saline, EEMO (400 mg/kg), L-NAME (10 mg/kg) and EEMO (400 mg/kg) + L-NAME (10 mg/kg). In experiment 4, mice were injected (i.p) with saline, EEMO (400 mg/kg), atropine (1 mg/kg) and co-administration of EEMO (400 mg/kg) + atropine (1 mg/kg). Then, the time spent for paw licking was determined the in first and second phase after formalin injection. Then, licking and biting time of the injected paw was recorded after formalin injection in first and second phases. Results: According to the results, EEMO in a dose dependent manner significantly diminished licking and biting time of injected paw (pain response) in comparison with the control group (P<0.05). Co-injection of the naloxone + EEMO significantly amplified pain response compared to the EEMO group (P<0.05). Co-injection of the L-NAME + EEMO significantly decreased pain response in comparison with the EEMO group (P<0.05). Pretreatment with atropine significantly enhanced pain response in comparison with the EEMO group (P<0.05). Conclusion: These findings suggest that anti-nociceptive activity of the EEMO is mediated via opioidergic, nitrergic and muscarinergic systems in mice.
Crescando

This demonstration presents Crescando, an implementation of a distributed relational table that guarantees predictable response time on unpredictable workloads. In Crescando, data is stored in main memory and accessed via full-table scans. By using scans instead of index lookups, Crescando overcomes the read-write contention in index structures and eliminates the scalability issues that exist in traditional index-based systems. Crescando is specifically designed to process a large number of queries in parallel, allowing high query rates. The goal of this demonstration is to show the ability of Crescando to a) quickly answer arbitrary user-generated queries, and b) execute a large number of queries and updates in parallel, while providing strict response time and data freshness guarantees.
An auto‐tracking algorithm for mesoscale eddies using global nearest neighbor filter

Many tracking algorithms have been developed to automatically track mesoscale ocean eddies. They are successful in most situations except when there is more than one successor candidate. This study presents a tracking approach using the global nearest neighbor filter (GNNF) to tackle this problem. The GNNF method implements the Kalman filter to model and track the process of ocean eddies, and then employs an optimization method to identify the most possible successor from the multiple candidates. The method was evaluated using an eddy dataset from the South China Sea (SCS) and its performance was compared against the distance‐based search (DBS) and the overlap‐based search (OBS) methods. Results show that GNNF is the most successful method to correctly identify a successor for a specific eddy with multiple potential candidates (accounts for nearly 2% of the total eddies in our dataset). We also evaluated the methods using synthetic eddy tracks and results show that the performance of all three methods is strongly affected by the number of tracks and the variations of eddy propagation velocity. The average pairing error of GNNF, DBS, and OBS are about 0.2%, 0.4%, and 0.5%, respectively, when the synthetic tracks were generated with experiment parameters best fit the survey results of ocean eddies in the SCS. The GNNF method is still the most successful algorithm in identifying the correct successor regardless of the complexity of synthetic tracks.
The Association of Sources of Information and Social Culture with the Immunization of Measles Rubela (MR) in Lubuk Buaya Primary Health Center Padang City

Measles Rubella (MR) immunization is a way to actively increase a person's immunity against antigens (measles and rubella viruses), so that if later exposed to similar antigens, measles and rubella infection will not occur. The purpose of this study was to determine the association of information and socio-cultural sources with the administration of Measles Rubella (MR) immunization in children aged 9 months to 5 years in the working area of Lubuk Buaya Health Center, Padang City. This study was a quantitative study with cross sectional design conducted at Lubuk Buaya Primary Health Center from September 2019 to October 2019. There were 97 mothers with 9 month until 5 years childrens became sample of this study. The mother as the respondent was interviewed directly with a questionnaire. Data will analyzed in univariate and bivariate by using chi-square analysis (p<0,1). The results showed the percentage of mothers who gave Measles Rubella (MR) in the Work Area of the Lubuk Buaya Public Health Center in Padang City was 59.8% while the percentage of mothers who did not give MR immunization was 40,%. The majority of respondents found good sources of information (29%) and good and poor socio-cultural information (43%). There is a relationship between the source of information (p = 0.027) and social culture (p = 0.001), with the administration of Measles Rubella (MR) immunization in the Work Area of the Lubuk Buaya Health Center in Padang City. From the results of the study it can be concluded that the better the source of information obtained by the mother, the higher the level of maternal participation in the administration of Measles Rubella immunization to children. The inclusion of MR immunization also depends on the mother's negative and positive socio-cultural exposure as well as on the mother's perception in the socio-cultural understanding itself. There is a significant association between the source of information with the administration of Measles Rubella (MR) immunization. It is expected that mothers should administer Measles Rubella (MR) immunization by taking into account information and socio-cultural sources so as to prevent measles and rubella.
Factors Influencing Teleworking Productivity – a Natural Experiment during the COVID-19 Pandemic

Of 2174 surveyed adults who were teleworking following the implementation of a Covid-19 work-from-home policy, 23.8% reported an increase in productivity, 37.6% no change, and 38.6% a decrease in productivity compared to working at their prior workplace. After controlling for feelings of depression and anxiety likely caused by pandemic-related circumstances, the socioeconomic characteristics associated with no change or an increase in productivity after shifting to teleworking included being older; not employed in higher education; having lower education attainment; and not living with children. Respondents with longer commute trips in single-occupancy vehicles prior to teleworking were more likely to be more productive but those with longer commute by walking were not. Lifestyle changes associated with increased productivity included better sleep quality, spending less time on social media, but more time on personal hobbies.
Numerically Evaluation of FRP-Strengthened Members under Dynamic Impact Loading

Reinforced concrete (RC) members in critical structures, such as bridge piers, high-rise buildings, and offshore facilities, are vulnerable to impact loads throughout their service life. For example, vehicle collisions, accidental loading, or unpredicted attacks could occur. The numerical models presented in this paper are shown to adequately replicate the impact behaviour and damage process of fibre-reinforced polymer (FRP)-strengthened concrete-filled steel tube (CFST) columns and Reinforced Concrete slabs. Validated models are developed using Abaqus/Explicit by reproducing the results obtained from experimental testing on bare CFST and RC slab members. Parameters relating to the FRP and material components are investigated to determine the influence on structural behaviour. The innovative method of using the dissipated energy approach for structural evaluation provides an assessment of the effective use of FRP and material properties to enhance the dynamic response. The outcome of the evaluation, including the geometrical, material, and contact properties modelling, shows that there is an agreement between the numerical and experimental behaviour of the selected concrete members. The experimentation shows that the calibration of the models is a crucial task, which was considered and resulted in matching the force–displacement behaviour and achieving the same maximum impact force and displacement values. Different novel and complicated Finite Element Models were comprehensively developed. The developed numerical models could precisely predict both local and global structural responses in the different reinforced concrete members. The application of the current numerical techniques can be extended to design structural members where there are no reliable practical guidelines on both national and international levels.
Hydration of the compact and extended forms of pFh fragments from IgG3 Kuc and Sur

It has been shown using scanning microcalorimetry and densitometry that partial specific heat and specific partial volume of two pFh fragments of IgG3 increase during the decay of its tertiary structure, the secondary structure, the double poly-L-proline helix, being unchanged. This effect may be explained by a high degree of hydration, which increases on globule decompactization due to increased accessibility of peptide groups of the helix to solvent.
Prevalence of pericoronitis in impacted mandibular third molar: A Retrospective analysis of 86,000 patient records over nine months

: Third molar impaction has become an important clinical issue.The impacted teeth may have many pathologies such as pericoronitis, periodontitis, root resorption, space infection and coronal and root caries. The study was aimed to find the prevalence of pericoronitis in impacted mandibular third molars. This retrospective study was conducted using records of patients visited private dental college. A total of 102 case records with information on impacted mandibular third molar and pericoronitis were retrieved. Data collected from their records were entered and subjected to statistical analysis. Descriptive statistics and Chi-square association was done to find the prevalence and association between impacted mandibular third molars and pericoronitis. Out of 102 subjects, 87.3% of patients with impacted mandibular third molars had pericoronitis and it was more in males (47.1%) when compared to females (40.2%). It was more prevalent in the age group of 21-30 (57.8%) and in the left mandibular third molar, 38 (51.0%) when compared to the right, 48 (36.3%). There was no significant association of pericoronitis with age, gender, tooth number (p>0.05). Within the limits of the study majority of patients with impacted mandibular third molars had pericoronitis and it was more prevalent in males and in the age group of 17-26 years. Prevalence of pericoronitis was high in the impacted left mandibular third molar compared to the impacted right mandibular third molar.
Analyzing the Characteristics of UHI (Urban Heat Island) in Summer Daytime Based on Observations on 50 Sites in 11 LCZ (Local Climate Zone) Types in Xi’an, China

Urbanization has induced significant changes on local climate in urban areas. For sustainable urban planning, it is necessary to identify the distribution characteristics of urban heat island (UHI) and the effects of land cover properties. In situ measurements are frequently carried out to obtain critical data in urban climate studies. However, long-time continuous observations on multiple sites are still rare, even though they would be useful in mapping the distribution of UHI intensity. In the current work, three observation campaigns were carried out in Xi’an, China. Pedestrian- level air temperatures (PLAT) were measured with potable micro-environment stations on 50 sites in 11 local climate zone (LCZ) types. The normalized PLAT was used to investigate the canopy layer UHI characteristics and the effects of LCZ types. Results revealed that the land coverage type and the surface structure have significant influence on the local climate. The PLAT in high-surface-fraction building covered areas was higher than that in low-surface-fraction building covered areas. In areas with similar building surface fraction, building height influences the UHI magnitude as well, as tall buildings would provide more shielding on the pedestrian level. The average UHI magnitude and the standard deviation within each LCZ type were calculated by statistical analysis of the observed results, which proved to be useful for UHI mapping based on the LCZ classification results in urban areas.
Is comorbid depression related to weight gain during treatment of anorexia nervosa?

Copyright © 2020 Adrian Meule. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Adrian Meule ( ) ameule@med.lmu. de
Identification of Information Networks in Stock Markets

Existing studies have addressed the significance of social influence and private communication in decision making in stock markets. However, the estimation of investor information networks remains an important and challenging task because the existing network inference methodologies lack the ability to explicitly account for the impact of public information on investor trading decisions. We address this gap by proposing a new framework to estimate private information channels in stock markets. In our approach, the impact of public information on investors' trading events is filtered out from investors' transactions. This allows us to reveal their co-behavior driven by the transfer of private information. Our results show that taking public information into account when inferring investor networks significantly changes their topology and strengthens the relationship between investor's network centrality and returns. Therefore, we believe that our approach leads to a more precise representation of the information network. Furthermore, we find that the association between centrality and returns becomes stronger and both statistically and economically more significant. Moreover, investigating the properties of information networks, we observe that the physical distances between connected investors begin to shrink when network links are validated using harsh thresholds.
Diurnal cycle of the CO2 system in the coastal region of the Baltic Sea

Abstract. The direction and magnitude of carbon dioxide exchange between the atmosphere and the sea is regulated by their difference in partial pressure of carbon dioxide (pCO2). Typically, observations of pCO2 are carried out by using research vessels and voluntary observing ships which cannot easily detect the diurnal cycle of pCO2 at a given location. This study evaluates the magnitude and driving processes of the diurnal cycle of pCO2 in a coastal region of the Baltic Sea during the different seasons.We present pCO2 data from July 2018–June 2019 carried out in the vicinity of the island of Utö in the Archipelago Sea and quantify the relevant physical, biological and chemical processes affecting pCO2. The highest monthly median diurnal pCO2 peak-to-peak amplitude (31 μatm) was observed in August. This high diurnal variation was found to be related predominantly to biological processes. The biological transformations of carbon generated a sinusoidal diurnal pCO2 variation, with a maximum in the morning and a minimum in the afternoon. Compared to the biological carbon transformations, the effect of air sea exchange of carbon dioxide and the effect of temperature changes on pCO2 are smaller, with their monthly median peak-to-peak amplitudes were up to 12 and 5 μatm, respectively. Single diurnal peak-to-peak amplitudes can be significantly larger (up to 500 μatm), during upwelling. If the net exchange of carbon dioxide between the sea and atmosphere on our study site and sampling period is calculated based on a data set that consists of only one measurement per day, the error in the budget depends on the sampling time and can be up to &pm;12 %.
Research Progress of Metformin in the Treatment of Non-alcoholic Fatty Liver Disease

Backgroud: Nonalcoholic fatty liver disease has become the second largest source of chronic liver disease in the urban population. Metformin, a traditional drug, has good prospects for treating the disease in primary health care facilities. Objective: To summarize and grasp the status of metformin in adults, children with diabetes and non-diabetic NAFLD patients. Methods: We reviewed 31 relevant research literatures in PubMed database, and sorted out some preclinical and clinical research results. Results: Metformin was found to have a good effect in improving liver function indicators in both adult diabetic and non-diabetic NAFLD patients, and could benefit liver histology in NAFLD patients with adult diabetes. Metformin treatment did not show a significant advantage over lifestyle interventions in children with NAFLD. Conclusion: Metformin can improve the liver function and histological structure of adult NAFLD patients to a certain extent, and children patients should still be treated mainly with improved lifestyle.
How Green FinTech Can Alleviate the Impact of Climate Change—The Case of Switzerland

The financial services industry is currently undergoing a major transformation, with digitization and sustainability being the core drivers. While both concepts have been researched in recent years, their intersection, often conceived as “green FinTech,” remains under-determined. Therefore, this paper contributes to this important discussion about green FinTech by, first, synthesizing the relevant literature systematically. Second, it shows the results of an empirical, in-depth analysis of the Swiss FinTech landscape both in terms of green FinTech startups as well as the services offered by the incumbents. The research results show that literature in this new domain has only emerged recently, is mostly characterized by a specific focus on isolated aspects of green FinTech and does not provide a comprehensive perspective on the topic yet. In addition, the results from the literature and the market analysis indicate that green FinTech has an impact along the whole value chain of financial services covering customer-to-customer (c2c), business-to-customer (b2c), and business-to-business (b2b) services. Today the field is predominantly captured by startup companies in contrast to the incumbents whose solutions are still rare.
Determination of bromine and iodine in the rat thyroid byshort-term INAA

A mode of non-destructive simultaneous determination of Br and I concentrations, using the method of reactor INAA in the regime of short-term activation, in the rat thyroid and in the speciation of fractions separated from this organ, is described. The contents of 0.1 micro g Br and from 0.4 to 10 micro g I were determined in samples of the thyroid gland of 5 mg dry weight.
Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification

Hyperspectral images (HSIs) provide rich spectral–spatial information with stacked hundreds of contiguous narrowbands. Due to the existence of noise and band correlation, the selection of informative spectral–spatial kernel features poses a challenge. This is often addressed by using convolutional neural networks (CNNs) with receptive field (RF) having fixed sizes. However, these solutions cannot enable neurons to effectively adjust RF sizes and cross-channel dependencies when forward and backward propagations are used to optimize the network. In this article, we present an attention-based adaptive spectral–spatial kernel improved residual network (<monospace>A<sup>2</sup>S<sup>2</sup>K-ResNet</monospace>) with spectral attention to capture discriminative spectral–spatial features for HSI classification in an end-to-end training fashion. In particular, the proposed network learns selective 3-D convolutional kernels to jointly extract spectral–spatial features using improved 3-D ResBlocks and adopts an efficient feature recalibration (EFR) mechanism to boost the classification performance. Extensive experiments are performed on three well-known hyperspectral data sets, i.e., IP, KSC, and UP, and the proposed <monospace>A<sup>2</sup>S<sup>2</sup>K-ResNet</monospace> can provide better classification results in terms of overall accuracy (OA), average accuracy (AA), and Kappa compared with the existing methods investigated. The source code will be made available at <uri>https://github.com/suvojit-</uri><inline-formula> <tex-math notation="LaTeX">$0\times 55$ </tex-math></inline-formula>aa/A2S2K-ResNet.