Miracle-dz/UniFAR-FTUs huggingface dataset:
Oracle inequalities for the Lasso in the high-dimensional multiplicative Aalen intensity model

We consider the problem of obtaining a prognostic on the survival time adjusted on covariates in a high-dimensional setting. Towards this end, we construct an estimator of the conditional intensity function that does not rely on an underlying model. We estimate it by the best Cox proportional hazards model given two dictionaries of functions. The first dictionary is used to construct an approximation of the logarithm of the baseline hazard function and the second to approximate the relative risk. As we are in high-dimension, we consider the Lasso procedure to estimate the unknown parameters of the best Cox model approximating the conditional hazard rate function. We provide non-asymptotic oracle inequalities for the Lasso estimator of the conditional hazard risk function. Our results rely on an empirical Bernstein's inequality for martingales with jumps.
UAV Trajectory Optimization for Time-Constrained Data Collection in UAV-Enabled Environmental Monitoring Systems

This article studies the unmanned aerial vehicle (UAV) trajectory planning problem in a UAV-enabled environmental monitoring system and considers a typical data collection scenario where a UAV is dispatched to a geographical area to collect time-constrained data in a set of monitoring areas and transmit collected data to a ground base station (GBS). We formulate the UAV trajectory planning problem as an optimization problem with the objective to minimize the UAV’s mission completion time by jointly optimizing the UAV’s flying speeds, hovering positions, and visiting sequence, taking into account the Age of Information (AoI) of data in monitoring areas, and the on-board energy of the UAV. To solve the problem, we decompose the formulated optimization problem into two subproblems: a UAV speed optimization problem and a UAV path optimization problem, and propose successive convex approximation (SCA) method-based and generic algorithm (GA)-based algorithms to solve the subproblems. Based on the proposed algorithms, we further propose an AoI-and-energy-aware trajectory optimization (AoI-EaTO) algorithm to solve the main problem. Simulation results show that the proposed AoI-EaTO algorithm can find a better solution to the problem than two benchmark algorithms. Moreover, given the UAV’s on-board energy and maximum speed as well as the positions of the GBS and monitoring areas, the AoI limitation threshold that the system is able to satisfy can be obtained through simulation results. This threshold can be used to decide if the UAV is able to finish a particular data collection mission, which is useful to the deployment of the mission.
VR-oriented EEG signal classification of motor imagery tasks

Virtual Reality (VR) combined with near real-time EEG signal processing can be used as an improvement to already existing rehabilitation techniques, enabling practitioners and therapists to get immersed into a virtual environment together with patients. The goal of this study is to propose a classification model along with all preprocessing and feature extraction steps, able to produce satisfying results while maintaining near real time performance. The proposed solutions are tested on an EEG signal dataset, containing left/right hand motor imagery movement experiments performed by 52 subjects. Performance of different models is measured using accuracy score and execution time both in the testing and training phase. In conclusion, one model is proposed as optimal with respect to the requirements of potential patient rehabilitation procedures.
Protective Effects of Shen-Yuan-Dan Capsule against Ischemia/Reperfusion Injury in Cardiomyocytes by Alleviating Endoplasmic Reticulum Stress

Objective Endoplasmic reticulum (ER) stress leads to the accumulation of misfolded proteins and an active unfolded protein response (UPR). If the ER stress is not resolved, the UPR triggers activation of the apoptotic cell death program. It has been shown that ischemia/reperfusion (I/R) injury can induce apoptosis via the ER stress pathway. We previously found that Shen-Yuan-Dan capsule (SYDC), a widely used traditional Chinese medicine, reduces I/R injury. Here, we investigated whether SYDC protects against cardiomyocyte apoptosis by reducing ER stress during I/R injury and. if so, explored its mechanism of action. Methods We use forty male Wistar rats to prepare the SYDC pharmacological serum. An I/R injury model was established using cultures of neonatal rat ventricular myocytes where cells were exposed to 2 h of reduced oxygenation followed by 4 h of normal oxygenation. After treatment of cultured cells with serum containing SYDC for 4 h, reverse transcription polymerase chain reaction and western blotting were performed to assess the expression levels of target molecules. Results Ischemia/reperfusion (I/R) clearly decreased cell viability. Treatment of cells with SYDC in serum (5% and 10%) increased cell viability compared with control serum-treated I/R cardiomyocytes. The mRNA levels of glucose-regulated protein 78 (Grp78), C/EBP homologous protein (CHOP), and caspase-12 were significantly upregulated in the I/R group. The mRNA levels of Grp78, CHOP, and caspase-12 were significantly decreased in the 5% and 10% SYDC groups compared to the I/R group. The protein expression levels of Grp78, CHOP, and caspase-12 were significantly upregulated in the I/R group. Treatment of I/R cardiomyocytes with 5% or 10% SYDC reduced the expression levels of CHOP and caspase-12, while the control serum did not show this effect. Conclusions These findings demonstrate that SYDC alleviates ER stress and prevents ER stress-induced apoptosis via the CHOP-dependent pathway.
The Clinical Impact of Platelets on Post-Injury Serum Creatinine Concentration in Multiple Trauma Patients: A Retrospective Cohort Study

Background and objective: Platelets contribute to the immunological response after multiple trauma. To determine the clinical impact, this study analyzes the association between platelets and creatinine concentration as an indicator of kidney function in polytraumatized patients. Methods: We investigated all patients presenting an Injury Severity Score (ISS) ≥16 for a 2-year period at our trauma center. Platelet counts and creatinine concentrations were analyzed, and correlation analysis was performed within 10 days after multiple trauma. Results: 83 patients with a median ISS of 22 were included. Platelet count was decreased on day 3 (p ≤ 0.001) and increased on day 10 (p ≤ 0.001). Platelet count was elevated on day 10 in younger patients and diminished in severely injured patients (ISS ≥35) on day 1 (p = 0.012) and day 3 (p = 0.011). Creatinine concentration was decreased on day 1 (p = 0.003) and day 10 (p ≤ 0.001) in female patients. Age (p = 0.01), male sex (p = 0.004), and injury severity (p = 0.014) were identified as factors for increased creatinine concentration on day 1, whereas platelets (p = 0.046) were associated with decreased creatinine concentrations on day 5 after multiple trauma. Conclusions: Kinetics of platelet count and creatinine concentration are influenced by age, gender, and trauma severity. There was no clear correlation between platelet counts and creatinine concentration. However, platelets seem to have a modulating effect on creatinine concentrations in the vulnerable phase after trauma.
Factor markets, institutional quality and firm formalisation: The contingent effect of economic conditions at the founding stage

The informal economy makes an important contribution to economic activity but knowledge about the country-level conditions that influence an informal firm’s willingness to formalise is limited. This article integrates insights from institutional theory and the imprinting hypothesis to explain how factor markets and institutional quality affect the likelihood that informal firms formalise over time, as well as how these effects are contingent on economic conditions at the founding stage. Using data from the World Bank Enterprise Surveys comprising of 8005 observations from 2477 firms in 73 countries, the results suggest that better factor markets and institutional quality increase the likelihood of formalisation and these relationships are strengthened by favourable economic conditions at the founding stage. The low correlation between factor markets and institutional quality supports the importance of separating these dimensions, while the moderating effect of economic conditions at the founding stage supports the importance of imprinting.
Identifying Potential Effective Diagnostic and Prognostic Biomarkers in Sepsis by Bioinformatics Analysis and Validation

Purpose Sepsis is a serious life-threatening condition characterised by multi-organ failure due to a disturbed immune response caused by severe infection. The pathogenesis of sepsis is unclear. The aim of this article is to identify potential diagnostic and prognostic biomarkers of sepsis to improve the survival of patients with sepsis. Methods We downloaded 7 datasets from Gene Expression Omnibus database and screened the immune-related differential genes (IRDEGs). The related functions of IRDEGs were analyzed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). CIBERSORT was used to evaluate the infiltration of the immune cells, and Pearson algorithm of R software was used to calculate the correlation between the immune cell content and gene expression to screen the genes most related to immune cells in sepsis group, which were intersected with IRDEGs to obtain common genes. Key genes were identified from common genes based on the area under the receiver operating characteristic curve (AUC) greater than 0.8 in the 6 datasets. We then analyzed the predictive value of key genes in sepsis survival. Finally, we verified the expression of key genes in patients with sepsis by PCR analysis. Results A total of 164 IRDEGs were obtained, which were associated mainly with inflammatory and immunometabolic responses. Ten key genes (IL1R2, LTB4R, S100A11, S100A12, SORT1, RASGRP1, CD3G, CD40LG, CD8A and PPP3CC) were identified with high diagnostic efficacy. Logistic regression analysis revealed that six of the key genes (LTB4R, S100A11, SORT1, RASGRP1, CD3G and CD8A) may affect the survival prognosis of sepsis. PCR analysis confirmed that the expression of seven key genes (IL1R2, S100A12, RASGRP1, CD3G, CD40LG, CD8A and PPP3CC) was consistent with microarray outcome. Conclusion This study explored the immune and metabolic response mechanisms associated with sepsis, and identified ten potential diagnostic and six prognostic genes.
Monetary Policy, Inflation Outlook, and Recession Probabilities

An inverted yield curve—defined as an episode in which long-maturity Treasury yields fall below their short-maturity counterparts—is a powerful near-term predictor of recessions. While most previous studies focus on the predictive power of the spread between long- and short-maturity Treasury yields, Engstrom and Sharpe (2019) have recently shown that a measure of the nominal near-term forward spread (NTFS), given by the difference between the six-quarter-ahead forward Treasury yield and the current three-month Treasury bill rate, dominates long-term spreads as a leading indicator of economic activity.
Optimized Green Extraction of Polyphenols from Cassia javanica L. Petals for Their Application in Sunflower Oil: Anticancer and Antioxidant Properties

The total phenolic content (TPC) from Cassia javanica L. petals were extracted using ethanolic solvent extraction at concentrations ranging from 0 to 90% and an SCF-CO2 co-solvent at various pressures. Ultrasound-assisted extraction parameters were optimized using response surface methodology (RSM). Antioxidant and anticancer properties of total phenols were assessed. An SCF-CO2 co-solvent extract was nano-encapsulated and applied to sunflower oil without the addition of an antioxidant. The results indicated that the best treatment for retaining TPC and total flavonoids content (TFC) was SCF-CO2 co-solvent followed by the ultrasound and ethanolic extraction procedures. Additionally, the best antioxidant activity by β-carotene/linoleic acid and DPPH free radical-scavenging test systems was observed by SCF-CO2 co-solvent then ultrasound and ethanolic extraction methods. SCF-CO2 co-solvent recorded the highest inhibition % for PC3 (76.20%) and MCF7 (98.70%) and the lowest IC50 value for PC3 (145 µ/mL) and MCF7 (96 µ/mL). It was discovered that fortifying sunflower oil with SCF-CO2 co-solvent nanoparticles had a beneficial effect on free fatty acids and peroxide levels. The SCF-CO2 method was finally found to be superior and could be used in large-scale processing.
VISTA Science Verification — The Galactic and Extragalactic Mini-surveys

Magda Arnaboldi1 Monika Petr-Gotzens1 Marina Rejkuba1 Mark Neeser1 Thomas Szeifert1 Valentin D. Ivanov1 Wolfgang Hummel1 Michael Hilker1 Nadine Neumayer1 Palle Moller1 Kim Nilsson1 Bram Venemans1 Evanthia Hatziminaoglou1 Gaitee Hussain1 Thomas Stanke1 Paula Teixeira1 Suzanne Ramsay1 Jorg Retzlaff1 Remco Slijkhuis1 Fernando Comeron1 Jorge Melnick1 Martino Romaniello1 Jim Emerson2 Will Sutherland2 Mike Irwin3 Jim Lewis3 Simon Hodgkin3 Eduardo Gonzales-Solares3
Multi-Objective Dynamic Economic Emission Dispatch with Electric Vehicle–Wind Power Interaction Based on a Self-Adaptive Multiple-Learning Harmony-Search Algorithm

Dynamic economic emission dispatch (DEED) in combination with renewable energy has recently attracted much attention. However, when wind power is considered in DEED, due to its generation uncertainty, some additional costs will be introduced and the stability of the dispatch system will be affected. To address this problem, in this paper, the energy-storage characteristic of electric vehicles (EVs) is utilized to smooth the uncertainty of wind power and reduce its impact on the system. As a result, an interaction model between wind power and EV (IWEv) is proposed to effectively reduce the impact of wind power uncertainty. Further, a DEED model based on the IWEv system (DEEDIWEv) is proposed. For solving the complex model, a self-adaptive multiple-learning multi-objective harmony-search algorithm is proposed. Both elite-learning and experience-learning operators are introduced into the algorithm to enhance its learning ability. Meanwhile, a self-adaptive parameter adjustment mechanism is proposed to adaptively select the two operators to improve search efficiency. Experimental results demonstrate the effectiveness of the proposed model and the superiority of the proposed method in solving the DEEDIWEv model.
CAFS: An Attention-Based Co-Segmentation Semi-Supervised Method for Nasopharyngeal Carcinoma Segmentation

Accurate segmentation of nasopharyngeal carcinoma is essential to its treatment effect. However, there are several challenges in existing deep learning-based segmentation methods. First, the acquisition of labeled data are challenging. Second, the nasopharyngeal carcinoma is similar to the surrounding tissues. Third, the shape of nasopharyngeal carcinoma is complex. These challenges make the segmentation of nasopharyngeal carcinoma difficult. This paper proposes a novel semi-supervised method named CAFS for automatic segmentation of nasopharyngeal carcinoma. CAFS addresses the above challenges through three mechanisms: the teacher–student cooperative segmentation mechanism, the attention mechanism, and the feedback mechanism. CAFS can use only a small amount of labeled nasopharyngeal carcinoma data to segment the cancer region accurately. The average DSC value of CAFS is 0.8723 on the nasopharyngeal carcinoma segmentation task. Moreover, CAFS has outperformed the state-of-the-art nasopharyngeal carcinoma segmentation methods in the comparison experiment. Among the compared state-of-the-art methods, CAFS achieved the highest values of DSC, Jaccard, and precision. In particular, the DSC value of CAFS is 7.42% higher than the highest DSC value in the state-of-the-art methods.
Value relevance of the new operating income: evaluation of the exposure draft 2019/07

Purpose: To analyze the value relevance of the new operating result proposed by ED/2019/07 in Brazilian companies in relation to the gaap and non-gaap measure, assessing the relevance of the new operating result associated with the market value of companies. Methodology: We used economic and financial data, available at Economatica, from 149 companies from the 9 economic sectors of B3, which had the annual information necessary to carry out the study in the period from 2010 to 2019. For data analysis, we used a restatement of the current income statement, to assess the new operating income provided for in the Exposure Draft. To assess value relevance, the model by Ohlson (1995) was used, which allows evaluating the explanatory power of the R2 of the regression. Results: The results of the analyzes suggest that, for the analyzed companies, the value relevance of New Operating Income (R2=0.4439) is higher than EBITDA (R2 = 0.4321), followed by Net Income (R2 = 0.4094). Such results show that the New Operating Result has greater explanatory power for the companies' market value. So, the results corroborate the conclusions of Barton et al. (2010) in which the Operating Result and EBITDA have greater value relevance than the gaap measure and, consequently, a greater association with stock returns. Contributions of the Study: The study provides empirical evidence on the possible impacts of the new income statement, with practical implications, and on how the change in the presentation of the income statement can impact the predictability of actions. In addition to theoretical and practical contributions, as it is a future standard that, it seems, will be implemented in the coming years, this research can contribute to accounting professionals, auditors and regulatory bodies in understanding the benefits and impacts of the proposed changes.
Experts’ views on improving the quality of non-stranger rape complainants’ accounts

Recent research consistently indicates that poor justice outcomes for non-stranger rape cases are caused in large part by limitations in the evidential relevance and judicial usefulness of accounts provided by complainants. As direct and other objective corroborating evidence is usually absent, the success of most police investigations and prosecutions of non-stranger rape relies heavily on complainants’ accounts. However, no study to date seems to have directly examined how the evidential relevance and judicial usefulness of such accounts can be improved. The present study explored the views of 16 American, Australian and British experts who work in the fields of sexual violence, investigative interviewing and criminal justice, on (a) information that needs to be elicited by police interviewers in order to obtain an evidentially relevant account from non-stranger rape complainants during their investigative interview; (b) requirements regarding a judicially useful account provided by non-stranger rape complainants and how these can be achieved; and (c) whether the current level of police interviewers’ knowledge of evidentially relevant and judicially useful accounts employed by them during investigative interviews with non-stranger rape complainants can be improved. And if so, how? Thematic analysis revealed three broad areas for improvements: (i) focus police interviewers’ questioning specifically on the legal elements and context of non-stranger rape; (ii) elicit clear, chronological and concise accounts; and (iii) provide evidence-based training and interview guidance. These areas, along with participants’ recommendations, are outlined. The implications of the present study and suggestions for future research are discussed.
The Relationship between Empathy and Altruism in Mothers of Children with Autism Spectrum Disorder and Intellectual and Developmental Disabilities

The objective of the current research study was to investigate the relationship between empathy and self-compassion and altruism in mothers of children with Autism Spectrum Disorder and intellectual and developmental disabilities. Method: by convenience sampling, 161 participants were selected. The short form self-compassion, empathy and altruism inventories were implemented. Results: The Pearson’s correlation coefficient and multiple regression analysis revealed that there was a direct relationship between empath, self-compassion and altruism. Conclusion: Empathy is a complex capability which enables individuals to understand the emotional states of others, and results in compassionate behaviour. Empathy requires cognitive, emotional, behavioural, and moral capacities to understand and respond to others' suffering. Compassion is a proper response to the perception of others’ suffering. In addition, compassion cannot exist without empathy; they are part of the same perception and response continuum which moves human beings from observation to action. It seems that maternal care, together with the hope that a child with intellectual and developmental disabilities lives independently, provides the necessary grounds for empathy, self-compassion and altruism.
Investigation about the lipid composition of some freshwater fishes.

In this work we were study about the lipid composition of some fresh water fishes collected from Darbhanga locality. Fish is consumed in this Gangetic plain mainly for protein and lipids. Fishes contain unsaturated fatty acids as lipid-component. Accordingly, the study was conducted by selecting two river stretches of Darbhanga District. These included stretches of river Kamala located in village Pokharam and stretches of river Balan located in village Pohaddi. Fish collections was done with bag nets of standardized dimensions with several mesh-sizes. There is selection of Labeo rohita (Rohu), Labeo calbasu and Catla catla a plankton feeder, phytoplankton and detritus feeder respectively in water column. The health clues hidden in fish flesh consumption encountered through popular dailies and reviews (The Times of India, Sunday review, July.18 Aug.8 and Aug.22 and Dec.18, 2001) attracted the present attention on this particular problem. According to fat extraction by Soxhlet extraction method; fat content of Labeo rohita varied between 23-30% while the iodine value was in range of 90-102. The level of triglyceride could be measured between 402-410 mgm (%). The saponification value was recorded between 101-171.2 and acid value between 8.81and 9.21. Whereas, the fat contents of Catla catla was recorded between 24.6-26.7%, Iodine value in the range of 96-97, saponification value between 152.4-158.7 and acid value between 7.8-8.61. These values in L. calbasu were recorded as: fat content 25.6 - 27.1%; Iodine value 96-98; Saponification value 133.4-140.3 and acid value 6.93-7.6. The findings suggest that the total fat content in all the major carps were comparable to each other. The study also suggests that in general the fat content of fish increases during winter season probably on account of availability of quality food. However, with regard to  6 and  3 profile the Labeo rohita and Labeo calbasu the phytoplankton and detritus feeders respectively shows a better range of  3 fatty acids than Catla catla , a zooplankton feeder which appears to be rich in  6 fatty acids.