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".

Ex Input:
Paragraph: publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. Abstracts accepted for publication only Pathogenesis R2249 Effect of a probiotic dairy product containing Lactobacillus casei Shirota on the gut microbiota in irritable bowel syndrome: a randomised, placebo-controlled, double-blind study Objectives: It has been hypothesized that disturbances in the intestinal flora could be a factor in the onset and persistence of IBS complaints. The aim of the study was to analyse the effect of Lactobacillus casei Shirota (LcS) on the faecal flora of IBS patients. Methods: In a randomised, placebo controlled, double blind study, IBS patients fulfilling the Rome criteria II were included. Patients took 2 bottles daily for 8 weeks, containing either LcS or placebo. Faecal samples were collected before intervention (week 2/0,S1), at the end of intervention (week 6/8,S2) and during follow-up (week 14/16,S3). Microbial populations (Bacteroides, anaerobes, bifidobacteria, coliforms, clostridia, and lactobacilli) were enumerated using quantitative plating. Total bacterial counts were performed using FISH. Bacterial DNA was analysed by quantitative Real-Time PCR for the detection of Atopobium spp., Bacteroides-Prevotella-Porphyromonas group, Clostridium coccoides-Eubacterium rectale group, Clostridium leptum subgroup, Clostridium difficile, Clostridium perfringens, Desulfovibrio desulfuricans group, and Bifidobacterium spp. Statistical analysis was performed using Mann-Whitney U tests or Paired Wilcoxon tests. P < 0.05 was considered statistically significant. Results: No significant differences in total bacterial counts were seen between the treatment and placebo group. Using quantitative plating, no significant differences were seen for the different bacterial groups between both groups. Significantly lower bacterial counts were seen in both groups for clostridia for S2 compared to S1 and S3. In the placebo group, significantly higher amounts of bifidobacteria and lactobacilli were detected for S2 compared to S1. Using qRT-PCR, significantly lower counts for D. desulfuricans group were seen in the placebo group compared to the treatment group. In the treatment group significant differences were seen only for S2 compared to S3, whereas in the placebo group, no significant differences were detected for the different bacterial groups at the different sampling points. Analysis at the IBS subtype level revealed differences in microbiota between the different subtypes. Conclusions: Although significant changes in the microbiota were seen during intake of LcS in the treatment group, differences in microbial populations between both groups were not significant. Interestingly, specific findings are likely to be associated with a specific IBS subtype rather than with IBS in general. Objective: To asses the chest radiography findings of patients with H1N1 Influenza virus infection. Review of radiological findings of 110 patients with confirmed influenza A virus infection admitted to two Hospitals in Cantabria, Spain. The radiological findings were characterized by pattern of opacities, lung distribution and, presence or absence of pleural effusions or hiliar or mediastinal adenopahies. The initial radiography was abnormal in 39 (34%) patients, but only 28 (25%) were related exclusively to the influenza A virus infection. Characteristic imaging findings in these 28 patients included: parenchymal consolidation 68%, consolidation plus ground glass 25% and ground glass opacities in 7%. Seventeen patients had a diffuse distribution of the opacities, in 61% it was bilateral, and lower and middle zones were those most frequently affected. No pleural effusions or pathological mediastinal lymph nodes were seen in this initial radiography. Patients with abnormal chest X-ray were more frequently men, smokers, had dyspnoea, pleuritic pain and diarrhoea. Conclusions: Although more of patients with influenza virus A infection showed normal chest X-ray, those with abnormal chest radiographies, characteristically showed areas of consolidation with or without ground glass affectation, bilateral and diffuse distribution, and predilection for lower and middle zones. Pleural effusion or mediastinal adenopahty were not findings seen in the initial radiography.
Title: R2250 H1N1 virus infection: review of chest radiographic findings

Ex Output:
False

Ex Input:
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

Ex Output:
True

Ex Input:
Paragraph: Infectious diseases attributable to unsafe water supply, sanitation and hygiene (e.g. Cholera, Leptospirosis, Giardiasis) remain an important cause of morbidity and mortality, especially in low-income countries. Climate and weather factors are known to affect the transmission and distribution of infectious diseases and statistical and mathematical modelling are continuously developing to investigate the impact of weather and climate on water-associated diseases. There have been little critical analyses of the methodological approaches. Our objective is to review and summarize statistical and modelling methods used to investigate the effects of weather and climate on infectious diseases associated with water, in order to identify limitations and knowledge gaps in developing of new methods. We conducted a systematic review of English-language papers published from 2000 to 2015. Search terms included concepts related to water-associated diseases, weather and climate, statistical, epidemiological and modelling methods. We found 102 full text papers that met our criteria and were included in the analysis. The most commonly used methods were grouped in two clusters: process-based models (PBM) and time series and spatial epidemiology (TS-SE). In general, PBM methods were employed when the bio-physical mechanism of the pathogen under study was relatively well known (e.g. Vibrio cholerae); TS-SE tended to be used when the specific environmental mechanisms were unclear (e.g. Campylobacter). Important data and methodological challenges emerged, with implications for surveillance and control of water-associated infections. The most common limitations comprised: non-inclusion of key factors (e.g. biological mechanism, demographic heterogeneity, human behavior), reporting bias, poor data quality, and collinearity in exposures. Furthermore, the methods often did not distinguish among the multiple sources of time-lags (e.g. patient physiology, reporting bias, healthcare access) between environmental drivers/ PLOS Neglected Tropical Diseases | https://doi.
Title: Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic review

Ex Output:
True