Suchergebnisse

How much coal will India need to transport in future and is the rail network poised to handle that requirement are two important questions for the emerging economy. To find answers to these questions, this study creates a distribution model of coal freight traffic on Indian Railways, analyzing the sufficiency of infrastructure for future economic needs. Using data on spatial distribution of coal mines, coal traffic volumes and rail sectional capacities, this study creates sectional capacity maps as main visual tool for analysis. Sections with bottlenecks are identified for next ten years' coal transport need of the country. The simulation done in this study finds 15% under-delivery for the 900mT coal demand in the country by 2030 due to transport bottlenecks. Based on this analysis, the article presents the conclusions on possible influence of existing conditions of coal transportation on India's economy in the long-term period and also considers the role of dedicated freight. JEL Codes: E17, L92, L98, R41, R42

Rajesh Gupta,1 AK Rawat,2 Poonam Singh,3 Jyoti Gupta,4 Ashish Pathak5–71Department of Paediatrics, Government Medical College, Datia, MP, India; 2Department of Paediatrics (Formerly), Bundelkhand Medical College, Sagar, MP, India; 3Department of Neonatology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India; 4Department of Microbiology, Chirayu Medical College, Bhopal, MP, India; 5Department of Paediatrics, R.D. Gardi Medical College, Ujjain, MP, India; 6Global health (IHCAR)/Department of Public Health Science Karolinska Institutet, Stockholm 171 77, Sweden; 7Department of Women and Children's Health, IMCH, Uppsala University, Uppsala, SwedenAbstract: Infantile Tremor Syndrome (ITS) is a self-limiting clinical state characterized by tremors, anemia, pigmentary skin disease, regression of mental development, and hypotonia of muscles in a plump looking child. Tremors are coarse in character, decreased or disappeared in sleep and resolves within 4–6 weeks in its natural course. Various etiological factors as infectious, metabolic, nutritional have been hypothesized but none is conclusive. Consensus is developing on the role of Vitamin B12 deficiency in children with ITS but is still debatable. Empirical management of ITS children has been tried in the absence of exact etiology considering child as undernourished. Nutritional management includes supplementation of Iron, Calcium, Magnesium, Vitamin B12 and other multivitamins. Tremors can be managed with administration of propranolol most commonly or phenobarbitone, phenytoin, and carbamazepine.Keywords: tremors, infantile tremor syndrome, undernutrition, vitamin B12

Hearing aids help overcome the challenges associated with hearing loss, and thus greatly benefit and improve the lives of those living with hearing-impairment. Unfortunately, there is a lack of adoption of hearing aids among those that can benefit from hearing aids. Hearing researchers and audiologists are trying to address this problem through their research. However, the current proprietary hearing aid market makes it difficult for academic researchers to translate their findings into commercial use. In order to abridge this gap and accelerate research in hearing health care, we present the design and implementation of the Open Speech Platform (OSP), which consists of a co-design of open-source hardware and software. The hardware meets the industry standards and enables researchers to conduct experiments in the field. The software is designed with a systematic and modular approach to standardize algorithm implementation and simplify user interface development. We evaluate the performance of OSP regarding both its hardware and software, as well as demonstrate its usefulness via a self-fitting study involving human participants.

BACKGROUND: Strengthening Evidence base on scHool-based intErventions for pRomoting adolescent health (SEHER) is a multicomponent, whole-school health promotion intervention delivered by a lay counsellor or a teacher in government-run secondary schools in Bihar, India. The objective of this study is to examine the effects of the intervention after two years of follow-up and to evaluate the consistency of the findings observed over time. METHODS AND FINDINGS: We conducted a cluster randomised trial in which 75 schools were randomised (1:1:1) to receive the SEHER intervention delivered by a lay counsellor (SEHER Mitra [SM]) or a teacher (Teacher as SEHER Mitra [TSM]), respectively, alongside a standardised, classroom-based life skills Adolescence Education Program (AEP), compared to AEP alone (control group). The trial design was a repeat cross-sectional study. Students enrolled in grade 9 (aged 13-15 years) in the 2015-2016 academic year were exposed to the intervention for two years and the outcome assessment was conducted at three time points─at baseline in June 2015; 8-months follow-up in March 2016, when the students were still in grade 9; and endpoint at 17-months follow-up in December 2016 (when the students were in grade 10), the results of which are presented in this paper. The primary outcome, school climate, was measured with the Beyond Blue School Climate Questionnaire (BBSCQ). Intervention effects were estimated using mixed-effects linear or logistic regression, including a random effect to adjust for within-school clustering, minimisation variables, baseline cluster-level score of the outcome, and sociodemographic characteristics. In total, 15,232 students participated in the 17-month survey. Compared with the control group, the participants in the SM intervention group reported improvements in school climate (adjusted mean difference [aMD] = 7.33; 95% CI: 6.60-8.06; p < 0.001) and most secondary outcomes (depression: aMD = -4.64; 95% CI: -5.83-3.45; p < 0.001; attitude towards gender equity: aMD = 1.02; 95% CI: 0.65-1.40; p < 0.001; frequency of bullying: aMD = -2.77; 95% CI: -3.40 to -2.14; p < 0.001; violence victimisation: odds ratio [OR] = 0.08; 95% CI: 0.04-0.14; p < 0.001; and violence perpetration: OR = 0.16; 95% CI: 0.09-0.29; p < 0.001). There was no evidence of an intervention effect in the TSM group compared with control group. The effects of the lay counsellor-delivered intervention were larger for most outcomes at 17-months follow-up compared with those at 8 months: school climate (effect size [ES; 95% CI] = 2.23 [1.97-2.50] versus 1.88 [1.44-2.32], p < 0.001); depression (ES [95% CI] = -1.19 [-1.56 to -0.82] versus -0.27 [-0.44 to -0.11], p < 0.001); attitude towards gender equity (ES [95% CI] = 0.53 [0.27-0.79] versus 0.23 [0.10-0.36], p < 0.001); bullying (ES [95% CI] = -2.22 [-2.84 to -1.60] versus -0.47 [-0.61 to -0.33], p < 0.001); violence victimisation (OR [95% CI] = 0.08 [0.04-0.14] versus 0.62 [0.46-0.84], p < 0.001); and violence perpetration (OR [95% CI] = 0.16 [0.09-0.29] versus 0.68 [0.48-0.96], p < 0.001), suggesting incremental benefits with an extended intervention. A limitation of the study is that 27% of baseline participants did not complete the 17-month outcome assessment. CONCLUSIONS: The trial showed that the second-year outcomes were similar to the first-year outcomes, with no effect of the teacher-led intervention and larger benefits on school climate and adolescent health accruing from extending lay counsellor-delivered intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT02907125.

Sentiment analysis has arisen as a new way to forecasting stock market trends by studying public opinion and media sentiment about individual stocks or firms. The application of artificial intelligence (AI) in sentiment research has allowed for more accurate and effective predictions of stock market trends. Yet, the efficiency of AI-based sentiment analysis in predicting stock market patterns is still being researched and debated.

BACKGROUND: School environments affect health and academic outcomes. With increasing secondary school retention in low-income and middle-income countries, promoting quality school social environments could offer a scalable opportunity to improve adolescent health and wellbeing. METHODS: We did a cluster-randomised trial to assess the effectiveness of a multi-component whole-school health promotion intervention (SEHER) with integrated economic and process evaluations in grade 9 students (aged 13-14 years) at government-run secondary schools in the Nalanda district of Bihar state, India. Schools were randomly assigned (1:1:1) to three groups: the SEHER intervention delivered by a lay counsellor (the SEHER Mitra [SM] group), the SEHER intervention delivered by a teacher (teacher as SEHER Mitra [TSM] group), and a control group in which only the standard government-run classroom-based life-skills Adolescence Education Program was implemented. The primary outcome was school climate measured with the Beyond Blue School Climate Questionnaire (BBSCQ). Students were assessed at the start of the academic year (June, 2015) and again 8 months later at the end of the academic year (March, 2016) via self-completed questionnaires. This study is registered with ClinicalTrials.gov, number NCT02484014. FINDINGS: Of the 112 eligible schools in the Nalanda district, 75 were randomly selected to participate in the trial. We randomly assigned 25 schools to each of the three groups. One school subsequently dropped out of the TSM group, leaving 24 schools in this group. The baseline survey included a total of 13 035 participants, and the endpoint survey included 14 414 participants. Participants in the SM-delivered intervention schools had substantially higher school climate scores at endpoint survey than those in the control group (BBSCQ baseline-adjusted mean difference [aMD] 7·57 [95% CI 6·11-9·03]; effect size 1·88 [95% CI 1·44-2·32], p<0·0001) and the TSM-delivered intervention (aMD 7·57 [95% CI 6·06-9·08]; effect size 1·88 [95% CI 1·43-2·34], p<0·0001). There was no effect of the TSM-delivered intervention compared with control (aMD -0·009 [95% CI -1·53 to 1·51], effect size 0·00 [95% CI -0·45 to 0·44], p=0·99). Compared with the control group, participants in the SM-delivered intervention schools had moderate to large improvements in the secondary outcomes of depression (aMD -1·23 [95% CI -1·89 to -0·57]), bullying (aMD -0·91 [95% CI -1·15 to -0·66]), violence victimisation (odds ratio [OR] 0·62 [95% CI 0·46-0·84]), violence perpetration (OR 0·68 [95% CI 0·48-0·96]), attitude towards gender equity (aMD 0·41 [95% CI 0·21-0·61]), and knowledge of reproductive and sexual health (aMD 0·29 [95% CI 0·06-0·53]). Similar results for these secondary outcomes were noted for the comparison between SM-delivered intervention schools and TSM-delivered intervention schools (depression: aMD -1·23 [95% CI -1·91 to -0·55]; bullying: aMD -0·83 [95% CI -1·08 to -0·57]; violence victimisation: OR 0·49 [95% CI 0·35-0·67]; violence perpetration: OR 0·49 [95% CI 0·34-0·71]; attitude towards gender equity: aMD 0·23 [95% CI 0·02-0·44]; and knowledge of reproductive and sexual health: aMD 0·22 [95% CI -0·02 to 0·47]). However, no effects on these secondary outcomes were observed for the TSM-delivered intervention schools compared with the control group (depression: aMD -0·03 [95% CI -0·70 to 0·65]; bullying: aMD -0·08 [95% CI -0·34 to 0·18]; violence victimisation: OR 1·27 [95% CI 0·93-1·73]; violence perpetration: OR 1·37 [95% CI 0·95-1·95]; attitude towards gender equity: aMD 0·17 [95% CI -0·09 to 0·38]; and knowledge of reproductive and sexual health: aMD 0·06 [95% CI -0·18 to 0·32]). INTERPRETATION: The multi-component whole-school SEHER health promotion intervention had substantial beneficial effects on school climate and health-related outcomes when delivered by lay counsellors, but no effects when delivered by teachers. Future research should focus on the evaluation of the scaling up of the SEHER intervention in diverse contexts and delivery agents. FUNDING: John D. and Catherine T. MacArthur Foundation, USA and the United Nations Population Fund India Office.