Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Term Follow-up of a Phase III Study of ch14.18 (Dinutuximab) + Cytokine Immunotherapy in Children with High-Risk Neuroblastoma: COG Study ANBL0032

Purpose: Previously our randomized phase III trial demonstrated that immunotherapy including dinutuximab, a chimeric anti-GD2 mAb, GM-CSF, and IL2 improved survival for children with high-risk neuroblastoma that had responded to induction and consolidation therapy. These results served as the basis for FDA approval of dinutuximab. We now present long-term follow-up results and evaluation of predictive biomarkers. Patients and Methods: Patients recieved six cycles of isotretinoin with or without five cycles of immunotherapy which consists of dinutuximab with GM-CSF alternating with IL2. Accrual was discontinued early due to meeting the protocol-defined stopping rule for efficacy, as assessed by 2-year event-free survival (EFS). Plasma levels of dinutuximab, soluble IL2 receptor (sIL2R), and human anti-chimeric antibody (HACA) were assessed by ELISA. Fcγ receptor 2A and 3A genotypes were determined by PCR and direct sequencing. Results: For 226 eligible randomized patients, 5-year EFS was 56.6 ± 4.7% for patients randomized to immunotherapy (n = 114) versus 46.1 ± 5.1% for those randomized to isotretinoin only (n = 112; P = 0.042). Five-year overall survival (OS) was 73.2 ± 4.2% versus 56.6 ± 5.1% for immunotherapy and isotretinoin only patients, respectively (P = 0.045). Thirteen of 122 patients receiving dinutuximab developed HACA. Plasma levels of dinutuximab, HACA, and sIL2R did not correlate with EFS/OS, or clinically significant toxicity. Fcγ receptor 2A and 3A genotypes did not correlate with EFS/OS. Conclusions: Immunotherapy with dinutuximab improved outcome for patients with high-risk neuroblastoma. Early stoppage for efficacy resulted in a smaller sample size than originally planned, yet clinically significant long-term differences in survival were observed.
Intermediate-Term Outcomes of a Third-Generation, 2-Component Total Ankle Prosthesis

Background: Short-term outcomes for the INBONE I and INBONE II tibial stems have been favorable. The INBONE-II talus has been shown to have lower reoperation and failure rates compared to its predecessor at short term follow-up. The purpose of the present study was to assess mid-term outcomes for the third generation, two component total ankle prosthesis at 5 to 9 years follow-up, evaluating both the tibial and talar components. Methods: All patients who underwent primary total ankle arthroplasty (TAA) with INBONE-II between July 2010 and July 2014 at a single institution and who were at least 5 years postoperative were included. A total of 15 ankles with a mean follow-up of 85 months (range, 61-113 months) met the criteria. Radiographs were assessed using coronal and sagittal alignment parameters preoperatively, at 6 weeks postoperatively, and at the most recent follow-up. Medical records were reviewed and revisions, reoperations, and complications were classified according to the criteria established by Vander Griend et al and Glazebrook et al, respectively. Results: The survivorship of the prosthesis at a mean of 85 months was 93.7%. The coronal and sagittal tibiotalar alignments 6 weeks after surgery were 2.1 degrees (P = .081) and 36% (P = .15), respectively. Maintenance of this alignment was observed during the latest follow-up (P = .684 and P = .837, respectively). One ankle (6.7%) required early component revision, while 4 (26.7%) required a non–implant-related revision. Six complications (2 high grade, 1 intermediate, and 3 low) in 5 ankles (33.3%) were recorded according to the Glazebrook classification system. Conclusion: The present study is the first to report midterm follow-up after TAA with this third-generation, 2-component prothesis. High survivorship, maintenance of correction, and a low incidence of major complications were observed in this small case series. The most common complication overall was lateral gutter impingement, which accounted for the majority of the nonrevisional reoperations. Level of Evidence: Level IV, case series.
Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition

Abstract As individuals seek increasingly individualised nutrition and lifestyle guidance, numerous apps and nutrition programmes have emerged. However, complex individual variations in dietary behaviours, genotypes, gene expression and composition of the microbiome are increasingly recognised. Advances in digital tools and artificial intelligence can help individuals more easily track nutrient intakes and identify nutritional gaps. However, the influence of these nutrients on health outcomes can vary widely among individuals depending upon life stage, genetics and microbial composition. For example, folate may elicit favourable epigenetic effects on brain development during a critical developmental time window of pregnancy. Genes affecting vitamin B12 metabolism may lead to cardiometabolic traits that play an essential role in the context of obesity. Finally, an individual’s gut microbial composition can determine their response to dietary fibre interventions during weight loss. These recent advances in understanding can lead to a more complete and integrated approach to promoting optimal health through personalised nutrition, in clinical practice settings and for individuals in their daily lives. The purpose of this review is to summarise presentations made during the DSM Science and Technology Award Symposium at the 13th European Nutrition Conference, which focused on personalised nutrition and novel technologies for health in the modern world.
Accounting and Tax Planning for High Technology Enterprises

In recent years, the importance of science and technology, as the first productive force, has been gradually highlighted. China pays great attention to high-tech enterprises and strongly supports them in fiscal and taxation policies to promote their development effectively. In responding to national policies, high-tech enterprises also continue to improve their efficiency, so the accounting and tax planning work of enterprises is mandatory. However, combined with the status quo of accounting and tax planning of high-tech enterprises, there is something to be improved in both aspects, which makes the enterprises’ financial and taxation risks higher and is not conducive to their normal operation. Based on this, the article will focus on the accounting and tax planning of high-tech enterprises as the main object of research.
Neuroendocrinology Letters-Neuro Endocrinol Lett

BACKGROUND: Health care providers are paying more and more attention to clinical handovers. Previous studies have found that poor handovers resulted in adverse effects for patients. This study aims to determine the effectiveness of the standardized pre-notification process, from emergency medical services (EMS) to in-hospital care, with specific cognitive aid based on ATMIST. METHODS: In February 2018, a prospective field test of the effectiveness of a standardized handover tool based on the ATMIST acronym was conducted in 11 Prague hospitals. The Emergency Medical Dispatch Centre used the form to record the information from the Crews (Protocol 1). The hospital dispatch centre (Protocol 2) used the same form to record the information from the EMS Dispatching. Both protocols were then compared and monitored to determine whether the information from the field was correctly transferred to the hospital. Signature items from the ATMIST form in different groups were empirically set to find out if the level of awareness of the personnel differs between groups. RESULTS: Two hundred and sixty-nine Protocols 1 and 2 (37.41% of all prenotifications) were analysed. There were 7,262 possible pieces of information to be transferred in total. 82.78% (n=6012) of all information was transferred correctly. The group analyses show no differences between the clinical condition of the patient and the awareness of the health care providers. CONCLUSION: This is first study evaluating the use of a standardized handover tool for telecommunication handover. The clinical condition of patients did not play any role in how the information was transferred.
Local Gradient Aggregation for Decentralized Learning from Non-IID data

Distributed centralized learning refers to a class of machine (deep) learning algorithms that enable a group of collaborative learning agents to train models using a dataset distributed among them with the aid of a central parameter server. Recently, decentralized learning algorithms which are independent of the central parameter server have demonstrated state-of-the-art results. However, an essential requirement to achieve such performance has been balanced distribution (among classes) of data among the agents, referred to as iid data. In real-life applications, having a precise iid distribution of data among the agents is often not feasible. We propose a Local Gradient Aggregation ( LGA ) that is a decentralized learning algorithm, where each agent collects the gradient information from its neighboring agents and updates its model with a projected gradient. We demonstrate the efﬁcacy of LGA on non-iid data distributions on benchmark datasets. By comparing against state-of-the-art decentralized algorithms, we show that our algorithm achieves the highest accuracy rate on non-iid data distribution while preserving the iid counterpart’s performance.
Covalent 2D Cr2Te3 ferromagnet

ABSTRACT To broaden the scope of van der Waals 2D magnets, we report the synthesis and magnetism of covalent 2D magnetic Cr2Te3 with a thickness down to one-unit-cell. The 2D Cr2Te3 crystals exhibit robust ferromagnetism with a Curie temperature of 180 K, a large perpendicular anisotropy of 7 × 105 J m−3, and a high coercivity of ∼4.6 kG at 20 K. First principles calculations further show a transition from canted to collinear ferromagnetism, a transition from perpendicular to in-plane anisotropy, and emergent half-metallic behavior in atomically-thin Cr2Te3, suggesting its potential application for injecting carriers with high spin polarization into spintronic devices. GRAPHICAL ABSTRACT IMPACT STATEMENT A TC of 180 K, a perpendicular anisotropy of 7 × 105 J m−3, and a high coercivity of ∼4.6 kG were achieved in covalent Cr2Te3 2D ferromagnets.
Monetary policy and wealth inequality in South Africa: Evidence from tax administrative data

This paper examines the relationship between monetary policy and wealth inequality in South Africa. We employed a unique database of tax administrative data which allowed us to account for individual heterogeneity. These tax data span from 2011 to 2017 and include over 3 million individual taxpayers in South Africa after data cleaning. Results based on fixed- and random-effects panel model estimates show that monetary policy generally increases wealth Gini inequality while it decreases the wealth 90–10 percentile differential. Increasing asset prices and gross domestic product per capita generally increases wealth inequality, while inflation reduces wealth inequality. The effect of age on wealth distribution varies depending on whether a fixed- or random-effects panel model is considered. Based on the estimates and observed data, being male tends to increase wealth inequality.
Approaches for the Treatment of SARS-CoV-2 Infection: A Pharmacologic View and Literature Review

The emergence of a novel Coronavirus disease (COVID-19) inducing acute respiratory distress syndrome (ARDS) was identified in Hubei province of China in December 2019 and rapidly spread worldwide as pandemic and became a public health concern. COVID-19 disease is caused by a new virus known as SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), which has recently offered many challenges and efforts to identify effective drugs for its prevention and treatment. Currently, there is no proven effective approach and medication against this virus. Quickly expanding clinical trials and studies on Coronavirus disease 2019 increase our knowledge regarding SARS-CoV-2 virus and introduce several potential drugs targeting virus moiety or host cell elements. Overall, 3 stages were suggested for SARS-CoV-2 infection according to the disease severity, clinical manifestations, and treatment outcomes, including mild, moderate, and severe. This review aimed to classify and summarize several medications and potential therapies according to the disease 3 stages; however, it is worth noting that no medication and therapy has been effective so far.
Comparison of the impact of lending and inflation rates on economic growth in Vietnam and China

Inflation and lending rates are two important macroeconomic indicators as they affect economic growth. The correlation between the inflation rate and the lending rate in Vietnam and China is analyzed to determine whether the lending rate causes inflation or not. An ordinary least square model (OLS) and a unit root test are applied to check the correlation and cointegration related to the inflation and lending rates to avoid spurious regression. The research time series data were collected from 1996 to 2017. The correlation of Vietnam’s variables is 56%, the correlation of China’s variables is 55%, which is a close correlation. The empirical cointegration test results for Vietnam and China are suitable for two research models. The relationship between these two indicators influences each other. In the short term, inflation stimulates economic growth through loose monetary policy through the lending rate. However, in the long term, if the money supply increases continuously, inflation will slow economic growth and increase bad debt. The empirical results are to make accurate forecasts and determine monetary policy for micro-managers who set the goal of sustainable economic growth and have a strategy for economic development in the short and long term.
Employee Dedication and Organizational Performance of Telecommunications Companies in Rivers State, Nigeria

This study examined the relationship between employee dedication and organizational performance of telecommunication companies in Rivers State. A cross sectional survey design was adopted. Primary data was generated through structured questionnaire. The population of the study was 437 employees of the telecommunication (GSM) firms in Port Harcourt. The sample size of 208 was determined using the Taro Yamane’s formula for sample size determination. The reliability of the instrument was achieved by the use of the Cronbach Alpha coefficient with all the items scoring above 0.70. The hypotheses were tested using the Spearman’s Rank Order Correlation Coefficient with the aid of Statistical Package for Social Science version 23.0. The tests were carried out at a 95% confidence interval and a 0.05 level of significance. The findings of the study revealed that there is a significant and relationship between employee dedication and organizational performance of telecommunication companies in Rivers State. The study recommends that telecommunication companies should promote activities and policies that will enhance employee dedication which will give them a sense of significance from work, feeling enthusiastic and proud about the given job, and feeling inspired and challenged by the job.
Clustering of Millennials by Brand Perceptions in Relation to Demographic Factors

The corporate brand represents a global set of perceptions of the unique functional and emotional attributes associated with it. These are the result of interactions of all the impressions, experiences, feelings and knowledge of all participating sides based on the products of the company, management style, and the planned or unscheduled communication activities. The study aims to describe Czech Millennials using demographic criteria in relation to their brand perception. The questionnaire was used as the research technique for gaining the primary data. The respondents were questioned about their opinions and perceptions of many issues such as attitudes towards brands, life values, willing to pay, making decisions, searching and buying products, preferences in the field of stability, having fun. Several statements from the questionnaire were tested for the purpose of this paper connected to the sense and sensibility in the decision buying process of Millennials as the consumers in the marketplace of the Czech Republic as one of the Central European countries. Afterwards, the Millennials are classed according to these pre-selected variables into groups by using a cluster analysis in such a way as to ensure the greatest similarity within the clusters and the greatest variation between clusters. Two clusters were formulated. From the carried out survey is obvious consumers with a lower degree of education are more emotional when they purchase goods than consumers with other achieved degrees of education. In relation to gender, we can allege that women are much more motivated by emotions. Younger Millennials are more likely to be motivated by emotions than older ones. Implications for Central European audience: Businesses in the 21 century, especially in developed markets should focus on the adequate targeting of selected market segments to use adequate marketing programs because the use of mass marketing approaches in different areas of business is currently uncompetitive and sometimes totally impossible. Proper targeting has a significant impact on consumers' behaviour and their brand perceptions. The Central European countries such as Poland, the Czech Republic, Hungary, Liechtenstein, Germany, Switzerland, Slovakia, Slovenia and Austria, with a population exceeding 165 million, represent a solid and an attractive market for business opportunities. Ordun (2015) claims that customers (consumers) of so-called generation Y (also said as Millennials) are said to be the second-largest population all of the world. It represents an occasion as well as a challenge not only for business units. Individuals of this generation have very strong buying power but they can as well influence the buying decisions of their parents and children. Moreno, Lafuente and Moreno (2017) present the findings of their research that suggest that Millennials were born in the time period when the technology is understood as an important part of people ́s life in all aspects. Thanks to this fact Millennials
BSc in Psychology Department of Psychology Digital Dating Abuse and Young People

Digital dating abuse (DDA) is a relatively new and under-researched topic facing the world today. DDA has been defined as using technology to threaten, harass, monitor, control, pressure, or coerce a dating partner. The study aimed to: (1) To examine if there is a gender difference in experiencing and perpetrating DDA, (2) To examine if younger people, between 18-25 years old, are more likely to be victims and perpetrators of DDA, compared to older age groups, (3) To examine if those who experience abuse in their intimate relationship are more likely to suffer from depression, anxiety and less well-being compared to those who do not experience DDA and (4) To examine which factor predicts being a victim/perpetrator of DDA. The sample consisted of 197 adults aged 18 years and older. Participants were recruited by a convenience sample through Facebook. The questionnaire consisted of four parts, demographic questions, questions on digital dating abuse, anxiety, depression, and finally well-being. The results showed that 34% of the participants experience at least one form of DDA and 37% had perpetrated at least one such behavior against their partner. An independent sample t-test, correlation and simple regression revealed that: (1) Victimization was significantly related to genders, perpetration was not, (2) Age was not significantly related to victimization or perpetration and finally, (3) the relationship between anxiety, depression and well-being differed for victimization and perpetration. These results indicate that gender, anxiety, depression and well-being could be related to DDA, while age is not.
Dominant Set Based Fuzzy Clustering Ensemble for Aggregation of Tortuosity Measures

The tortuosity of corneal nerve fibres is correlated with a number of diseases such as diabetic neuropathy. The assessment of corneal nerve tortuosity in in vivo confocal microscopy images can inform the detection of diseases and complications. Clustering is a typical technique which is often used to discover data distribution. This paper proposes a dominant set based fuzzy clustering ensemble method based on cluster filtering. The proposed method uses similarity relationship to represent the connections among the clusters to form a graph and the dominant sets are extracted to form meta-clusters. Then, each meta-cluster is aggregated to obtain a cluster in the final clustering ensemble outputs. Experimental results on a public corneal nerve tortuosity data set demonstrates the effectiveness of the proposed method in IVCM image tortuosity grading.
Effect of Surface Irrigation Regimes and Potassium Levels on Growth, Physiological Characters and Productivity of Fodder Beet (Beta vulgaris, L.) under Calcareous Soil Conditions

The present investigation was carried out in the farm of Nubaria Agricultural Research. Station during the two winter seasons 2016/2017 and 2017/2018 to study the effect of three surface irrigation treatments (I1=100%, I2= 80%, I3= 60% of ETp) and four potassium levels (control 0, 57.12, 114.24 and 171.36 K2O/ha) on fodder beet growth, physiological characters, productivity and forage quality under calcareous soil conductions. The main results were as follows: 1Increasing irrigation levels up to 100% ETp led to significant increase in crop growth rate at the two periods (90-120) and (120-150 DAS), root diameter, leaf area per plant, root dry matter/ plant, root fresh weight/plant, total yield, crude protein percentage, digestive crude protein percentage, shoot K%, crude fiber percent and carbohydrate percent. There was insignificant difference between 100% and 80% ETp in leaves dry matter /plant, foliage fresh weight /plant, foliage yield (ton/ha) and K% in root. Whereas the total digestible nutrient percent and root length were significantly increased by increasing water stress. Medium treatment at 80% of ETp give the maximum values of water use efficiency (WUE). 2Increasing potassium fertilization levels up to 171.36 kg K2O/ha significantly increased CGR at (90-120 and 120-150 DAS), root length, root diameter, leaf area, root dry matter /plant, leaves dry matter /plant, CP%, DCP%, CF% and carbohydrate % In root. Adding 171.36 or 114.24 kg K2O/ha had insignificant differences in the first CGR period (90-120) DAS, root fresh weight (kg/plant), foliage fresh weight (g/plant), K% in shoot and root. TDN (%) decreased by increasing potassium fertilization levels. Maximum water use efficiency (WUE) was obtained when plants received 171.36 kg K2O/ha. 3The interaction effect between water regime and potassium fertilization was found to be significant for CGR at the two periods, root length, leaf area/plant, leaves dry matter/plant, root and leaves fresh weight / plant, total yield, root yield, CP%, DCP%, K% in shoot and carbohydrate% in the combined analysis. The maximum value of WUE was obtained when plants were watered by 80% from ETp and received 171.36 kg K2O/ha.