bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using Sequences of Life-events to Predict Human Lives
Authors: Savcisens Germans , Eliassi-Rad Tina , Hansen Lars Kai , Mortensen Laust , Lilleholt Lau , Rogers Anna , Zettler Ingo , Lehmann Sune 
Published: May 2023

Abstract
Over the past decade, machine learning has revolutionized computers' ability to analyze text through flexible computational models. Due to their structural similarity to written language, transformer-based architectures have also shown promise as tools to make sense of a range of multi-variate sequences from protein-structures, music, electronic health records to weather-forecasts. We can also represent human lives in a way that shares this structural similarity to language. From one perspective, lives are simply sequences of events: People are born, visit the pediatrician, start school, move to a new location, get married, and so on. Here, we exploit this similarity to adapt innovations from natural language processing to examine the evolution and predictability of human lives based on detailed event sequences. We do this by drawing on arguably the most comprehensive registry data in existence, available for an entire nation of more than six million individuals across decades. Our data include information about life-events related to health, education, occupation, income, address, and working hours, recorded with day-to-day resolution. We create embeddings of life-events in a single vector space showing that this embedding space is robust and highly structured. Our models allow us to predict diverse outcomes ranging from early mortality to personality nuances, outperforming state-of-the-art models by a wide margin. Using methods for interpreting deep learning models, we probe the algorithm to understand the factors that enable our predictions. Our framework allows researchers to identify new potential mechanisms that impact life outcomes and associated possibilities for personalized interventions.
EnMSP: An Elastic-net Multi-step Screening Procedure for High-dimensional Regression
Authors: Xue Yushan 
Published: May 2023

Abstract
To improve the estimation efficiency of high-dimensional regression problems, penalized regularization is routinely used. However, accurately estimating the model is still challenging when there are correlated effects that irrelevant variables are strongly correlated with relevant variables. In this paper, we propose the Elastic-net Multi-step Screening Procedure (EnMSP), an iterative algorithm designed to recover sparse linear models in correlated data. EnMSP uses a small repeated penalty strategy to identify truly relevant covariates in a few iterations. Specifically, in each iteration, EnMSP enhances the adaptive lasso method by adding a weighted l2 penalty, which improves the selection of relevant variables. The method is shown to select the true model and achieve the l2-norm error bound under certain conditions. Numerical comparisons and applications demonstrate the effectiveness of EnMSP
Improved online DMP spatial generalization and incorporation of dynamic via-points
Authors: Sidiropoulos Antonis , Doulgeri Zoe 
Published: May 2023

Abstract
Dynamic Movement Primitives (DMP) have found remarkable applicability and success in various robotic tasks, which can be mainly attributed to their generalization, modulation and robustness properties. Nevertheless, the spatial generalization of DMP can be problematic in some cases, leading to excessive or unnatural spatial scaling. Moreover, incorporating intermediate points (via-points) to adjust the DMP trajectory, is not adequately addressed. In this work we propose an improved online spatial generalization, that remedies the shortcomings of the classical DMP generalization, and moreover allows the incorporation of dynamic via-points. This is achieved by designing an online adaptation scheme for the DMP weights which is proved to minimize the distance from the demonstrated acceleration profile to retain the shape of the demonstration, subject to dynamic via-point and initial/final state constraints. Extensive comparative simulations with the classical and other DMP variants are conducted, while experimental results validate the applicability and efficacy of the proposed method.
CLSAN:category-aware Long-and Short-termAttention Network for SequentialRecommendation
Authors: Sun Yanrui , Wang Jiahui 
Published: May 2023

Abstract

Sequence recommendation has become a hot research topic due to its practical applications and high precision in obtaining sequence information. However, existing methods often lack consideration for both the global stability and local volatility of user preferences, resulting in decreased learning of the user’s current preferences. Additionally, the accuracy of recommendations is affected by the high sparsity of user check-in data. To address these challenges, we propose a categoryaware user long- and short-term preference recommendation model, CLSAN. Firstly, item category information embedding is introduced in the embedding layer to capture the relevance of item information and effectively alleviate data sparsity. Secondly, to capture the time dependency and user preferences between sessions, the combination of item category embedding and learnable position embedding is fed into the multi-head self-attention module and long- and short-term feature attention layers. Then, the feature attention layer combines this information with user embedding information to generate the user’s final profile. Finally, the generated user preference information is fed into the prediction layer for the recommendation. We evaluate the proposed model on ten real datasets publicly available on Amazon, and the experimental results show that the CLSAN model performs significantly better than existing methods.
Electromagnetically induced transparency based on metal-graphene hybrid metamaterials
Authors: Wang Yichun , Tong Shengjun , Xiao Lihua , Yu Jiabin , Xiao Binggang 
Published: May 2023

Abstract
This paper introduces a novel metal-graphene composite metamaterial modulator that can produce a tunable EIT (Electromagnetically induced transparency) effect with good modulation effect under the action of an applied voltage. The material structure consists of bright mode coupling between a metal strip and a metal U-shaped ring. We investigated the nature of the field and indicated that the detuning of the dipole of the metallic ribbon structure and the quadrupole structure of the metallic U-ring induces an EIT-like reaction. The coupling effect of the metal resonant cavity was analyzed, this is, the coupling between the metal layer and the mono-graphene on the transparency window. By varying the voltage between the substrate silicon and the monolayer graphene surface in the structure, the modulator can achieve a maximum modulation depth of 83.4% and on the transparent window, the light will have a positive group delay of 8 ps, This wok can be applied to future 6G wireless communications et al.
Glucose trend prediction model based on improved Wavelet Transform and Gated Recurrent Unit
Authors: Yang Tao , wen chuanbiao , yang qicheng , zhou yibo 
Published: May 2023

Abstract

Glucose trend prediction based on continuous glucose monitoring (CGM) data is a crucial step in the implementation of an artificial pancreas (AP). A glucose trend prediction model with high accuracy in real-time can greatly improve the glycemic control effect of the artificial pancreas and effectively prevent the occurrence of hyperglycemia and hypoglycemia. In this paper, we propose an improved wavelet transform threshold denoising algorithm for the non-linearity and non-smoothness of the original CGM data. By quantitatively comparing the mean square error (MSE) and signal-to-noise ratio (SNR) before and after the improvement, we prove that the improved wavelet transform threshold denoising algorithm can reduce the degree of distortion after the smoothing of CGM data and improve the extraction effect of CGM data features at the same time. Based on this, we propose a glucose trend prediction model (IWT-GRU) based on the improved wavelet transform threshold denoising algorithm and gated recurrent unit. We compared the RMSE, MAPE, and \({R}^{2}\) of RNN, LSTM, SVR, GRU, and IWT-GRU on the original CGM monitoring data of 80 patients for 7 consecutive days with different Prediction Horizon (PH). The results showed that the IWT-GRU model outperformed the other four models. At PH = 45 min, the RMSE was 0.5537 mmol/L, MAPE was 2.2147%, \({R}^{2}\) was 0.989, and the average runtime was only 37.2 seconds. Finally, we analyze the limitations of this study and provide an outlook on the future direction of blood glucose trend prediction.
Adding Nitazoxanide to standard triple therapy improves eradication rate of Helicobacter Pylori in post covid-19 antibiotic resistant era: a single center open-label randomized controlled trial
Authors: Hassan Amro M. , Abdel-Gawad Muhammad , Mahmoud Mai Mohamed , abdelrazzak Emad , Sawy Safwat Salama , Mohammed Mohammed Fakhry 
Published: May 2023

Abstract
H. pylori is one of the most prevalent antibiotic-resistant bacteria worldwide. Clarithromycin-based triple therapy had achieved suboptimal cure rate. To evaluate safety and efficacy of adding nitazoxanide as adjuvant therapy to the standard clarithromycin-based therapy versus other standard clarithromycin-based triple therapies, a single-center phase 4 prospective superiority parallel open-label randomized controlled trial was done. Two hundred patients were included in the study and were randomly distributed into 4 groups: Group 1: 50 patients were treated by clarithromycin 500mg bid, amoxicillin1gm bid, omeprazole 20 mg bid for 14 days, Group 2: 50 patients were treated by clarithromycin 500mg bid, metronidazole 500mg bid bid, omeprazole 20 mg bid for 14 days, group 3: 50 patients were treated by clarithromycin 500mg bid, nitazoxanide 500mg bid bid, omeprazole 20 mg bid for 14 days, and group 4: 50 patients were treated by clarithromycin 500mg bid, amoxicillin1gm bid, nitazoxanide 500mg bid bid, omeprazole 20 mg bid for 14 days. All patients were assessed after 4 week post treatment. Our trial showed that patients in group 4 had achieved the highest eradications rate: N=42, 84% in intention to treat analysis (ITT), and 89.36% in per protocol (PP) analysis, followed by group 1 which achieved eradication rate of 64% in ITT and 69.56% in PP, while in group 3 the eradication rate was 56% in ITT, and 56.25% in PP, and finally, group 2 achieved the least eradication rate 36% in ITT and 40.90% in PP, with significant difference between the studied groups (P 0.01). Furthermore, adding nitazoxanide to standard clarithromycin based triple therapy is effective than other used triple regimens and could be used as a first-line regimen for the eradication of H. pylori.
The Role of Celebrity Endorsement on Impulse Buying Behavior with Customer Loyalty as a Moderating in the E-Commerce Industry
Authors: Li Sin , Suhari Umaidi , Shidiqqi Muhammad  Fajar , Aras Muhammad , Mani La 
Published: May 2023

Purpose: Numerous studies have been conducted on celebrities to notice their effect on marketing. Celebrity endorsement has become one of the most popular marketing strategies, and Tokopedia as one of the most popular e-commerce websites in Indonesia also using these strategies for increasing their brand awareness. The purpose of this study is to explore other effects of celebrity endorsement on consumer behavior. This research aimed to define the impact of celebrities endorsement on consumer psychology, influencing impulsive buying behavior with consumer loyalty as a mediating variable. Research Methodology : This study applied quantitative survey with data was collected using an online questionnaire with sample characteristics were Tokopedia Customers and also a fan of the celebrity who lived in Indonesia by 442 samples using the purposive sampling method and data was conducted using the SmartPLS program. Result: This article indicated the findings that (1) celebrity endorsement had a positive impact on consumer loyalty, (2) a positive effect either directly or indirectly on impulsive buying behavior, and (3) consumer loyalty itself had a positive effect on impulsive buying behavior. Conclusions: This study proposes significant implications about how celebrity endorsement works and how it impacts customer behavior in the e-commerce Industry.
Polymorphisms of <i>HSD17B13</i>, <i>GCKR</i>, <i>HFE</i>, and <i>CP</i> as factors of the development of non-alcoholic fatty liver disease and comorbid diseases
Authors: Smirnova O. V. , Lagutinskaya D. V. 
Published: May 2023

Currently, non-alcoholic fatty liver disease is one of the most common chronic liver diseases. In recent years, this condition has been considered as a hepatic manifestation of the metabolic syndrome, which is associated with overweight and impaired glucose and fat metabolism. Despite the obvious role of lifestyle in the development of this disease, it is increasingly being suggested that disorders in the metabolism of fats and carbohydrates have a genetic basis, which determines the tendency to develop NAFLD. Mutant polymorphisms of the HSD17B13, GCKR, HFE, and CP genes have been shown to affect the course of NAFLD, but these effects require further study. Therefore, the aim of this work was to analyze and systematize the available data from foreign articles over the past 10 years. In this study, 573 articles were analyzed, the most important 64 original research works were used here. Mutations in the HSD17B13 gene are associated with a milder course of NAFLD, while GCKR gene polymorphisms, on the contrary, are associated with more severe histological manifestations of this disease, such as steatosis and fibrosis. The HFE and CP genes, although not directly related to macronutrient metabolism, nevertheless contribute to the development of more severe forms of NAFLD, which may be associated with the development of inflammation and oxidative stress caused by excessive accumulation of iron in hepatocytes.
Indicators of the hemostasis system and markers of endothelial damage in patients with steatosis and liver fibrosis
Authors: Bulatova I. A. , Shevlyukova T. P. , Gulyaeva I. L. , Sobol A. A. , Paducheva S. V. 
Published: May 2023

Introduction. According to the analysis of indicators of the hemostasis system in liver pathology, there are multidirectional data in the literature, which may be associated with the examination of patients with varying degrees of severity and etiology of the process. Aim. The aim of the study was to study the indicators of hemostasis and markers of endothelial damage in patients with non-alcoholic steatosis and liver fibrosis of viral etiology. Materials and methods. A total of 64 people were examined. The first group included 32 patients with non-alcoholic liver steatosis on the background of obesity of 1–2 degrees, with an average age of 46.3 ± 4.3 years (12 men and 20 women). The second group consisted of 22 patients with liver fibrosis on the background of chronic hepatitis C (HCV) with an average age of 36.8 ± 4.7 years (12 men and 10 women). The control group included 10 practically healthy individuals with an average age of 38.9 ± 5.3 years without liver pathology. The number of platelets, platelet aggregation with ADP inducers, collagen and ristocetin, functional activity of Willebrand factor (vWF), coagulation hemostasis and fibrinolysis system, and serum concentration of vascular endothelial growth factor (VEGF) were determined. Statistical processing of the obtained data was carried out using the program “Stat2015”. Results. Induced platelet aggregation in steatosis and liver fibrosis significantly decreased with ADP agonists and collagen against the background of a normal platelet count. In both study groups, signs of endothelial damage with a tendency to increase the functional activity of vWF and VEGF hyperproduction were found. An elongation of thrombin time was also recorded, more significantly in patients with steatosis. Conclusion. Patients with non-alcoholic liver steatosis and liver fibrosis on the background of HCV are characterized by disorders in the vascular-platelet (endothelial damage and thrombocytopathy in the form of platelet hypocoagulation) and coagulation (hypocoagulation) links of hemostasis.
The effectiveness of specialized medical dietary food product in the complex therapy of patients with pancreatitis in the acute stage
Authors: Minushkin O. N. , Pilate T. L. , Maslovskii L. V. , Frolova A. A. , Bulanova M. I. , Skibina Ju. S. , Inevatova V. S. , Zverkov I. V. 
Published: May 2023

Introduction. Dietary nutrition is a physiological therapeutic and prophylactic approach for chronic pancreatitis during an exacerbation. Given the acute reaction of patients to various foods, specialized dietary products designed specifically for this pathology are of great importance. Aim. Evaluation of the clinical efficacy, safety and tolerability of the use of specialized therapeutic nutrition – jelly “Pancreatic” in chronic pancreatitis in the acute stage. Materials and methods. 20 patients of the main group with pancreatitis, along with standard therapy, received a dietary food product twice a day. The dynamics of pain, dyspeptic syndromes and intestinal dysfunction syndrome was studied; dynamics of the ultrasound picture of the pancreas; intestinal motility according to carbolene test; safety and tolerability of therapy by registering side effects and assessing the quality of life according to the SF-36 questionnaire, assessing well-being according to the visual analogue scale, and the organoleptic properties of the medicinal product. The comparison group consisted of 20 patients who received only standard pharmacotherapy. Results. The use of a dietary therapeutic food product is accompanied by a significant decrease in the frequency of nausea, belching, heaviness and flatulence in patients of the main group. The terms of relief or reduction in the intensity of symptoms of bitterness, nausea, heaviness in the abdomen, feelings of rapid satiety, flatulence were significantly lower in the main group (5–8 days compared to the control group (10–14 days). A significant normalization of GGT and CRP levels was established in the main group, while in the comparison group there was only a decrease in CRP. The ongoing complex therapy was accompanied by an improvement in the ultrasound picture of the pancreas, potentiation of the effects of pharmacotherapy and a significant improvement in the quality of life of patients. Conclusions. The conducted studies have shown high efficiency, good tolerability and safety of the therapeutic product “Pancreatic jelly” in the treatment of patients with chronic pancreatitis. Kissel “Pancreas” is recommended by the authors for active use in patients with pancreatitis as a therapeutic diet.
Hyperferritinemia, chronic hepatitis C and COVID-19: what do they have in common?
Authors: Gonik M. I. , Bueverova E. L. , Bueverov A. O. 
Published: May 2023

Ferritin is one of the key proteins, which has involved in the regulation of iron homeostasis in the body. Ferritin reduced values are often associated with changes in the total iron supply in the body. In addition, ferritin is involved in immune processes and can have both pro-inflammatory and anti-inflammatory effects. Ferritin changes in laboratory values is a rather nonspecific sign that occurs with immunoinflammatory and infectious diseases, as well as the development of iron overload. It can, among other things, accompany the course of new coronavirus infection (COVID-19) and chronic viral hepatitis C (CHC) in patients. Hyperferritinemia in these two diseases may be a marker of a more severe course and adverse patient outcome, making the study of ferritin levels an extremely important task for the practitioner. Therefore, the purpose of this review of the scientific literature was to investigate the possible relationship between Hyperferritinemia, COVID-19 and CHC. It has been reported that hyperferritinemia is quite often associated with a more severe form of both COVID-19 and CHC. Several studies have suggested that the risk of mortality may be increased if they are combined. In this regard, an important conclusion was made about measuring baseline ferritin levels with subsequent dynamic monitoring in this group of patients.
Nutritional correction after extensive combined bowel resections: new approaches to rehabilitation
Authors: Kostyuchenko L. N. , Lychkova A. E. , Kostyuchenko M. V. 
Published: May 2023

Introduction. Metabolic correction of the consequences of extensive (especially combined) intestinal resections requires enormous efforts due to weight loss, a decrease in plasma albumin concentration of less than 30 g/l, electrolyte disorders, organ failure, etc. There are consequences in the form of short small intestine syndrome, postcolectomy syndrome and the combined consequences of resections of the small and large intestine. The most severe changes are after combined thin-thick-intestinal resections, the prevalence of which continues to increase. Nevertheless, the data on the occurrence of combined resections (thin-colon) are very contradictory. Aim. To analyze the effectiveness of nutritional correction programs in SBS syndrome due to extensive combined small-colonic resections and to characterize possible ways of correcting metabolic complications with the help of nutritional correction, taking into account the optimization of absorption in the intestine. Materials and methods. We examined 208 patients with combined extensive resection of the small intestine with right-sided hemicolectomy (65% of men and 35% of women). Metabolic changes, nutritional characteristics and reparation under the influence of nutritional correction in this category of patients are described. Results. Data on the restoration of lost functions are presented, which is based on the analysis of the mechanisms of adaptation and cellular regeneration. Regenerative aspects of hormonal (enteroglucagon) regulation of intestinal functions after its extensive resection and artificial alimentation are closely related. Conclusion. It is advisable to introduce teduglutide into the treatment structure to stimulate rehabilitation absorption processes after extensive combined intestinal resections.
Hydrophobic modification of a PVDF hollow fiber membrane by plasma activation and silane grafting for membrane distillation
Authors: Jin Qiaoru , Zhang Xue , Li Fuzhi , Zhao Xuan 
Published: May 2023

Abstract

Polyvinylidene fluoride (PVDF) hollow fibers were hydrophobically modified using a simple and scalable method of plasma activation and silane grafting. The effects of plasma gas, applied voltage, activation time, silane type, and concentration were investigated according to the membrane hydrophobicity and direct contact membrane distillation (DCMD) performance. Two kinds of silane were used, including methyl trichloroalkyl silane (MTCS) and 1H,1H,2H,2H-perfluorooctane trichlorosilane silanes (PTCS). The membranes were characterized by techniques such as Fourier transform infrared (FTIR), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and contact angle. The contact angle of the pristine membrane was 88°, which increased to 112°–116° after modification. Meanwhile, the pore size and porosity decreased. In DCMD, the maximum rejection reached 99.95% by the MTCS-grafted membrane, while the flux decreased by 35% and 65% for the MTCS- and PTCS-grafted membranes, respectively. Treating humic acid-contained solution, the modified membrane showed steadier water flux and higher salt rejection than the pristine membrane, and 100% flux recovery was achieved by simple water flushing. This two-step method of plasma activation and silane grafting is very simple and effective to improve the hydrophobicity and DCMD performance of PVDF hollow fibers. However, further study on improving the water flux should be carried out.