TASK DEFINITION: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
PROBLEM: Paragraph: Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks with stochastic dynamical processes from limited time series remains to be an outstanding problem. Here we develop a framework based on compressed sensing to reconstruct complex networks on which stochastic spreading dynamics take place. We apply the methodology to a large number of model and real networks, finding that a full reconstruction of inhomogeneous interactions can be achieved from small amounts of polarized (binary) data, a virtue of compressed sensing. Further, we demonstrate that a hidden source that triggers the spreading process but is externally inaccessible can be ascertained and located with high confidence in the absence of direct routes of propagation from it. Our approach thus establishes a paradigm for tracing and controlling epidemic invasion and information diffusion in complex networked systems. S i t 2 S i t 6 =2 and hS i t 2 1i S i t 12 S i t 14 =2 based on the remaining strings marked in different colours (see Methods for more details). CST can be used to reconstruct the neighbouring vector X of node 2 from Y and U from Y U . X.
Title: ARTICLE Reconstructing propagation networks with natural diversity and identifying hidden sources

SOLUTION: False

PROBLEM: Paragraph: Insults to the alveoli usually lead to inefficient gas exchange or even respiratory failure, which is difficult to model in animal studies. Over the past decade, stem cell-derived self-organizing three-dimensional organoids have emerged as a new avenue to recapitulate respiratory diseases in a dish. Alveolar organoids have improved our understanding of the mechanisms underlying tissue homeostasis and pathological alterations in alveoli. From this perspective, we review the state-of-the-art technology on establishing alveolar organoids from endogenous lung epithelial stem/progenitor cells or pluripotent stem cells, as well as the use of alveolar organoids for the study of respiratory diseases, including idiopathic pulmonary fibrosis, tuberculosis infection, and respiratory virus infection. We also discuss challenges that need to be overcome for future application of alveolar organoids in individualized medicine.
Title: Organoids as a Powerful Model for Respiratory Diseases

SOLUTION: True

PROBLEM: Paragraph: Transmissible gastroenteritis virus (TGEV) is a member of Coronaviridae family. TGEV infection has emerged as a major cause of severe gastroenteritis and leads to alterations of many cellular processes. Meanwhile, the pathogenic mechanism of TGEV is still unclear. microRNAs (miRNAs) are a novel class of small non-coding RNAs which are involved in the regulation of numerous biological processes such as viral infection and cell apoptosis. Accumulating data show that miRNAs are involved in the process of coronavirus infection such as replication of severe acute respiratory syndrome coronavirus (SARS-CoV). However, the link between miRNAs and TGEV infection is unknown. In this study, we performed microRNA microarray assay and predicted targets of altered miRNAs. The results showed TGEV infection caused the change of miRNAs profile. Then we selected miR-4331 for further analysis and subsequently identified cell division cycle-associated protein 7 (CDCA7) as the target of miR-4331. Moreover, miR-4331 showed the ability to inhibit transcription of TGEV gene 7 (a non-structure gene) via directly targeting CDCA7. In conclusion, differentially expressed miR-4331 that is caused by TGEV infection can suppress transcription of TGEV gene 7 via targeting cellular CDCA7. Our key finding is that TGEV selectively manipulates the expression of some cellular miRNAs to regulate its subgenomic transcription.
Title: Transmissible Gastroenteritis Virus (TGEV) Infection Alters the Expression of Cellular MicroRNA Species That Affect Transcription of TGEV Gene 7

SOLUTION:
False