Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical efficacy evaluation of treatment of different degrees of retinal vein occlusion with ranibizumab combined with an argon ion laser

The aim of this study was to evaluate the clinical efficacy of an intravitreal injection of ranibizumab combined with argon ion laser photocoagulation therapy in the treatment of different degrees of central retinal vein occlusion (CRVO). A total of 112 CRVO patients including 25 cases of trunk occlusion, 50 cases of branch occlusion and 37 cases of hemiretinal vein-occlusion were enrolled in this study. Patients were treated with an intravitreal injection of 0.5 mg ranibizumab, followed by argon ion laser photocoagulation therapy after 7 days. Patients were followed up for 6 months and the best corrected visual acuity (BCVA), central retinal thickness (CRT), macular edema, and surgical complications were compared. Compared with the control treated with 0.5 mg ranibizumab, the BCVA and macular edema improved while CRT was significantly reduced in all groups treated with 0.5 mg ranibizumab combined with the argon ion laser. Furthermore, no obvious complications were observed in these groups and the effects of ranibizumab combined with argon ion laser photocoagulation on branch occlusion group were the best. Intravitreal injection of ranibizumab combined with argon ion laser photocoagulation therapy has better safety and effectiveness in the treatment of different degrees of CRVO. The trial registration number is 2015–318 and date of registration is 12/10/2015.
Clinical and radiological union rate evaluation of type 2 odontoid fractures: A comparison between anterior screw fixation and halo vest in elderly patients

Purpose: Odontoid fracture is a very common cervical injury, especially in elderly patients. Despite the high frequency, the appropriate management is still debated. The aim of this study is to evaluate clinical and radiological outcomes after anterior screw fixation or halo vest (HV) in type II odontoid fracture in elderly patients. Materials and Methods: Between January 2013 and December 2015, 135 consecutive patients affected by odontoid process were found. According to inclusion and exclusion criteria, 57 patients were included in the study. Patients were evaluated with visual analog scale (VAS), Smiley–Webster Scale (SWS), Italian Version of the Neck Disability Index (NDI), and patient satisfaction during follow-up. Furthermore, radiological data were evaluated for bone healing. Student's t-test or Fisher's exact test was used between groups, analyzing radiological and clinical results, and level of statistical significance was set at P < 0.05. Results: Seventeen patients were female and 40 were male. Twenty-seven patients were included in surgical group (SG) while 30 were included in HV group with a mean follow-up of 37.74 ± 10.52 months. A significant difference (P < 0.05) between groups was found for pseudoarthrosis, with a lower rate for SG. No significant differences in term of VAS, NDI, and SWS were found between groups (P > 0.05); SG reached higher satisfaction than HV group (P = 0.0271). Conclusions: Both treatments are equivalent in terms of clinical outcomes, and they are a valuable choice in the management of type II odontoid fracture. However, it must be considered that patients could slightly tolerate HV and may need a change of treatment.
Collaborative Similarity Embedding for Recommender Systems

We present collaborative similarity embedding (CSE), a unified framework that exploits comprehensive collaborative relations available in a user-item bipartite graph for representation learning and recommendation. In the proposed framework, we differentiate two types of proximity relations: direct proximity and k-th order neighborhood proximity. While learning from the former exploits direct user-item associations observable from the graph, learning from the latter makes use of implicit associations such as user-user similarities and item-item similarities, which can provide valuable information especially when the graph is sparse. Moreover, for improving scalability and flexibility, we propose a sampling technique that is specifically designed to capture the two types of proximity relations. Extensive experiments on eight benchmark datasets show that CSE yields significantly better performance than state-of-the-art recommendation methods.
Evaluating model calibration in classification

Probabilistic classifiers output a probability distribution on target classes rather than just a class prediction. Besides providing a clear separation of prediction and decision making, the main advantage of probabilistic models is their ability to represent uncertainty about predictions. In safety-critical applications, it is pivotal for a model to possess an adequate sense of uncertainty, which for probabilistic classifiers translates into outputting probability distributions that are consistent with the empirical frequencies observed from realized outcomes. A classifier with such a property is called calibrated. In this work, we develop a general theoretical calibration evaluation framework grounded in probability theory, and point out subtleties present in model calibration evaluation that lead to refined interpretations of existing evaluation techniques. Lastly, we propose new ways to quantify and visualize miscalibration in probabilistic classification, including novel multidimensional reliability diagrams.
Intravitreal Injection of 1.25% Povidone Iodine Followed by Vitrectomy Using 0.025% Povidone Iodine Irrigation for Treating Endophthalmitis

Purpose To investigate the safety and effectiveness of intravitreal injection (IVI) of 1.25% povidone iodine (PI) followed by vitrectomy using 0.025% PI irrigation for treating endophthalmitis. Methods Prospective case series study. Nine eyes of 8 patients with postoperative or endogenous endophthalmitis treated at the Nihon University Hospital between April 2015 and October 2017 were studied. First, IVI of 0.1 mL/1.25%PI was conducted, followed by anterior chamber irrigation and vitrectomy using 0.025%PI irrigation solution. Corneal epithelial damage, anterior chamber inflammation, and vitreous inflammation were assessed and fundus examinations were performed, using a slit-lamp microscope and indirect ophthalmoscopy. A specular microscope, Goldmann perimetry, and electroretinography (ERG) were also used. Results In all but case 7, endophthalmitis resolved rapidly and good visual acuity was maintained. No adverse events were noted. Furthermore, the perioperative ERG showed improvements in the oscillatory potentials amplitudes on ERG and flicker ERG, as well as in the implicit time of the a-wave, suggesting functional recovery in the retinal outer and inner layers after therapy. Conclusions IVI of PI followed by vitrectomy was thought to be a safe and effective treatment for endophthalmitis. Translational Relevance We succeeded in proving the clinical safety of IVI of PI followed by vitrectomy with PI irrigation as well as previous experimental reports. PI is available in world widely, therefore this method will be optimal treatment for endophthalmitis.
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities

The ability to obtain accurate food security metrics in developing areas where relevant data can be sparse is critically important for policy makers tasked with implementing food aid programs. As a result, a great deal of work has been dedicated to predicting important food security metrics such as annual crop yields using a variety of methods including simulation, remote sensing, weather models, and human expert input. As a complement to existing techniques in crop yield prediction, this work develops neural network models for predicting the sentiment of Twitter feeds from farming communities. Specifically, we investigate the potential of both direct learning on a small dataset of agriculturally-relevant tweets and transfer learning from larger, well-labeled sentiment datasets from other domains (e.g.~politics) to accurately predict agricultural sentiment, which we hope would ultimately serve as a useful crop yield predictor. We find that direct learning from small, relevant datasets outperforms transfer learning from large, fully-labeled datasets, that convolutional neural networks broadly outperform recurrent neural networks on Twitter sentiment classification, and that these models perform substantially less well on ternary sentiment problems characteristic of practical settings than on binary problems often found in the literature.
Serum 25-Hydroxy Vitamin D in Chronic Rhinosinusitis with and Without Nasal Polyposis: A Case-Control Study

Introduction: Chronic rhinosinusitis (CRS) with and without nasal polyposis is a chronic inflammatory disease of the sinuses and nasal mucosa. Recent evidence has indicated a relationship between serum 25-hydroxyl vitamin D (OH-VitD) deficiency and CRS. Regarding this, the present study aimed to compare the serum level of 25-OH-VitD in CRS patients with and without nasal polyposis and control groups. Materials and Methods: This study was conducted on 117 adult subjects in three groups of CRS with nasal polyposis (CRSwNP; n=32), CRS without nasal polyposis (CRSsNP; n=35), and healthy controls (n=50). The mean level of serum 25-OH-VitD in the three groups was measured by means of enzyme- linked immunosorbent assay. The data were analyzed using SPSS software (version 18). Results: Mean serum levels of 25-OH-VitD in CRSwNP, CRSsNP, and control groups were 12.52, 15.54, and 22.04 ng/ml, respectively. There was a significant difference between the case and control groups in terms of 25-OH-VitD level (P=0.0001). However, no significant difference was observed between the CRSwNP and CRSsNP groups in this regard (P=0.464). The women had a VitD deficiency odds ratio (OR) of 2.47, compared with men (OR=2.47, 95% CI=1.04-5.86). The OR of VitD deficiency with aging was obtained as 0.957 (95% CI=0.925-0.989). In this regard, older patients had a lower probability of VitD deficiency, compared to younger patients. Conclusion: As the findings indicated, serum 25-OH-VitD was significantly lower in CRS patients, compared with that in the non-CRS subjects.
Butyrate stimulates hepatic gluconeogenesis in mouse primary hepatocytes

Butyrate is a major short-chain fatty acid (SCFA) produced by microbial fermentation of dietary fiber in the gastrointestinal tract. Butyrate is also a well-known broad-spectrum histone deacetylase (HDAC) inhibitor. Butyrate has been reported to improve energy metabolism in rodents, which is associated with its beneficial effects on skeletal muscle, brown fat tissue and pancreatic β-cells. The present study investigated the direct effect of butyrate on hepatic gluconeogenesis in mouse primary hepatocytes and the underlying mechanism. Isolated mouse primary hepatocytes were incubated with sodium butyrate, other HDAC inhibitors and other SCFAs. Hepatic glucose production was measured and gluconeogenic gene expression was detected by polymerase chain reaction analysis. The phosphorylation of cyclic adenosine monophosphate (cAMP) response element binding protein (CREB) was assessed by western blot analysis. The results revealed that sodium butyrate dose-dependently increased hepatic glucose production and gluconeogenic gene expression in isolated mouse primary hepatocytes. Trichostatin A, a potent broad-spectrum HDAC inhibitor, had the opposite effect. Similar to sodium butyrate, propionate, which is another SCFA, promoted hepatic glucose production and gluconeogenic gene expression in the presence or absence of gluconeogenic substrates, which were further enhanced by cAMP. Furthermore, sodium butyrate also increased the accumulation of intracellular ATP and induced the phosphorylation of CREB in mouse hepatocytes. In conclusion, the present study suggested that butyrate stimulates hepatic gluconeogenesis and induces gluconeogenic gene expression as a substrate and cAMP/CREB signaling activator.
KEYNOTE-042 and the role for single agent pembrolizumab in patients with PD-L1 tumor proportion score 1-49.

Immunotherapy with monoclonal antibodies against programmed death-1 (PD-1) or its ligand (PD-L1) were approved for previously treated advanced non-small cell lung cancer (NSCLC) based on the results from four randomized trials showing improved survival compared to standard therapy with docetaxel (1-4). in the phase 1 study with the anti-PD-1 antibody pembrolizumab in previously treated NSCLC, the response rate and median progression-free survival (PFS) for patients with PD-L1 proportion score of ≥50% were 45.2% and 6.3 months respectively, with median PFS of 6.1 months for the 99 previously treated patients and 12.5 months for the 20 previously untreated patients (5). Therefore, the next logical step was to evaluate the role of pembrolizumab in previously untreated patients with PD-L1 score of ≥50%, where the efficacy was comparable to historical data on first-line platinum-based combination chemotherapy with or without maintenance chemotherapy (6-9).
NORTH-SOUTH TECHNOLOGY SPILLOVERS*

Knowledge accumulation means either new knowledge (an increase in its quality), greater access to existing knowledge (an increase in its quantity), or both. This paper examines the relative contribution of these two components of knowledge to TFP for North-North and North-South trade-related knowledge diffusion, with quantity proxied by openness and quality by the R&D content of trade. The measure of foreign R&D used in the literature on trade-related knowledge diffusion imposes equal contributions to TFP of openness and of R&D content of trade. Our analysis shows that R&D has a greater impact on TFP than openness for North-North trade and, conversely, openness has a greater impact on TFP than R&D for North-South trade. These results imply that the impact of openness on TFP in developing (developed) countries is larger (smaller) than previously obtained in this literature, and that developing countries can obtain larger productivity gains from trade liberalization than previously thought. World Bank Policy Research Working Paper 3190, January 2004 The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the view of the World Bank, its Executive Directors, or the countries they represent. Policy Research Working Papers are available online at http://econ. worldbank.org. *The authors would like to thank Aaditya Mattoo, Marcelo Olarreaga and participants at a World Bank International Trade Seminar for their comments. a. Corresponding author. International Trade Unit, World Bank. b. The Norman Paterson School of International Affairs, Carleton University.
Nonlinear Model Predictive Control for Robust Bipedal Locomotion Exploring CoM Height and Angular Momentum Changes

Human beings can make use of various reactive strategies, e.g. foot location adjustment and upper-body inclination, to keep balance while walking under dynamic disturbances. In this work, we propose a novel Nonlinear Model Predictive Control (NMPC) framework for versatile bipedal gait pattern generation, with the capabilities of footstep adjustment, Center of Mass (CoM) height variation and angular momentum adaptation. These features are realized by constraining the Zero Moment Point motion with considering the variable CoM height and angular momentum change of the Inverted Pendulum plus Flywheel Model. In addition, the NMPC framework also takes into account the constraints of footstep location, CoM vertical motion, upper-body inclination and joint torques, and is finally formulated as a quadratically constrained quadratic program. Therefore, it can be solved efficiently by Sequential Quadratic Programming. Using this unified framework, versatile walking pattern with exploiting time-varying CoM height trajectory and angular momentum changes can be generated based only on the terrain information input. Furthermore, the improved capability for balance recovery under external pushes has been demonstrated through simulation studies.
Happiness in Europe: Cross-Country Differences in the Determinants of Subjective Well-Being

The purpose in the present paper is to use individual panel data in the European Community Household Panel to analyse the impact on self-reported satisfaction from a number of economic and demographic variables. The paper contributes to the ongoing discussion of the relationship between life satisfaction and income. The panel property of the data makes it possible to study also the impact on satisfaction from income changes as well as the impact from acceleration in income and changes in labour market status on changes in satisfaction. A number of demographic variables and individual attitude indicators are also entered into the analysis of both the level of satisfaction and the change in satisfaction from one wave of the survey to the next. We find a strong impact from the level of income in all countries, an impact from change and acceleration in income for a smaller number of countries, a strong impact from most changes in labour market status and finally important effects from a number of demographic variables.
Using Respiratory Sinus Arrhythmia to Estimate Inspired Tidal Volume in the Bottlenose Dolphin (Tursiops truncatus)

Man-made environmental change may have significant impact on apex predators, like marine mammals. Thus, it is important to assess the physiological boundaries for survival in these species, and assess how climate change may affect foraging efficiency and the limits for survival. In the current study, we investigated whether the respiratory sinus arrhythmia (RSA) could estimate tidal volume (VT) in resting bottlenose dolphins (Tursiops truncatus). For this purpose, we measured respiratory flow and electrocardiogram (ECG) in five adult bottlenose dolphins at rest while breathing voluntarily. Initially, an exponential decay function, using three parameters (baseline heart rate, the change in heart rate following a breath, and an exponential decay constant) was used to describe the temporal change in instantaneous heart rate following a breath. The three descriptors, in addition to body mass, were used to develop a Generalized Additive Model (GAM) to predict the inspired tidal volume (VTinsp). The GAM allowed us to predict VTinsp with an average ( ± SD) overestimate of 3 ± 2%. A jackknife sensitivity analysis, where 4 of the five dolphins were used to fit the GAM and the 5th dolphin used to make predictions resulted in an average overestimate of 2 ± 10%. Future studies should be used to assess whether similar relationships exist in active animals, allowing VT to be studied in free-ranging animals provided that heart rate can be measured.
Echocardiographic evaluation of diastolic function in the setting of pulmonary hypertension

Heart failure due to diastolic dysfunction and pulmonary hypertension are frequent comorbid conditions with significant morbidity and mortality. Identifying the presence and etiology of diastolic dysfunction in the setting of pulmonary hypertension remains challenging despite profound therapeutic and prognostic implications. Additionally, there is little guidance in identifying and parsing etiology of diastolic dysfunction in patients found to have pulmonary hypertension. This review discusses the complex interplay between left ventricular diastolic dysfunction and pulmonary hypertension. With an explicit focus on the use of echocardiography for determination of diastolic dysfunction and etiology of pulmonary hypertension, this review also provides a comprehensive review of the literature and provides a framework by which to assess diastolic dysfunction echocardiographically in the setting of pulmonary hypertension.
Sinusoidal obstruction syndrome in a paediatric patient with acute lymphoblastic leukaemia after completion of reinduction therapy according to ALL Intercontinental Berlin-Frankfurt-Münster 2009

Sinusoidal obstruction syndrome (SOS), also termed veno-occlusive disease (VOD) of the liver, is a well-known complication of haematopoietic stem cell transplantation (HSCT) both in children and adults. In the medical literature there are occasional reports of SOS in patients receiving conventional chemotherapy. In children with solid tumours this entity occurs during treatment of nephroblastoma, rhabdomyosarcoma, and medulloblastoma. In the late 1990s SOS was quite often observed as the complication of oral 6-thioguanine (6-TG) in patients suffering from acute lymphoblastic leukaemia (ALL), who received 6-TG throughout maintenance. In current protocols, the syndrome has become uncommon because treatment with 6-TG is limited to two weeks of oral therapy. Here, we report a case of a nine-year-old boy with ALL, who developed sinusoidal obstruction syndrome shortly after completing the reinduction block of chemotherapy (cyclophosphamide, cytarabine, thioguanine) according to the ALL Intercontinental Berlin-Frankfurt-Münster 2009 (ALL IC BFM 2009) treatment protocol.
Hardness of Exact Distance Queries in Sparse Graphs Through Hub Labeling

A distance labeling scheme is an assignment of bit-labels to the vertices of an undirected, unweighted graph such that the distance between any pair of vertices can be decoded solely from their labels. An important class of distance labeling schemes is that of hub labelings, where a node ν ∈ G stores its distance to the so-called hubs Sν ⊆ V, chosen so that for any u,ν ∈ V there is w ∈ Su ∩ Sv belonging to some shortest uv path. Notice that for most existing graph classes, the best distance labelling constructions existing use at some point a hub labeling scheme at least as a key building block. Our interest lies in hub labelings of sparse graphs, i.e., those with |E(G)| = O (n), for which we show a lowerbound of n 2O (√log n) for the average size of the hubsets. Additionally, we show a hub-labeling construction for sparse graphs of average size O(√n RS (n)c) for some 0 < c < 1, where RS (n) is the so-called Ruzsa-Szemerédi function, linked to structure of induced matchings in dense graphs. This implies that further improving the lower bound on hub labeling size to n over 2(log n)o(1 would require a breakthrough in the study of lower bounds on RS (n), which have resisted substantial improvement in the last 70 years. For general distance labeling of sparse graphs, we show a lowerbound of 1 over 2Θ(√log n) SumIndex (n), where SumIndex (n) is the communication complexity of the SUM-I problem over Zn. Our results suggest that the best achievable hub-label size and distance-label size in sparse graphs may be Θ(n over 2(log n)c ) for some 0 < c < 1. ,