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Proton exchange membrane fuel cells (PEMFC) possess features like high specific power density, low operating temperature, and low operating pressure and thus are most widely used. The performance of PEMFC highly depends on its output voltage which further affects its efficiency. This research paper aims to improve this output voltage by minimizing the losses through parameter estimation technique for three well-known commercial PEMFC stacks, namely, 250W, BCS 500W, and Ballard Mark V. The multiobjective function framed for optimization serves two goals. One is to extract the unknown parameters of FC, and second is to achieve the minimum sum of squared errors (SSE) that occur due to the difference between experimental voltage and estimated voltage. Chaotic teaching-learning-based optimization (CTLBO) algorithm is used for optimization process. SSE values obtained for three commercial PEMFC stacks 250W, BCS 500W, and Ballard Mark V are 7.02267, 4.00150, and 0.8100, respectively. The applicability of this technique is further checked for different operating conditions of each model. The I-P (current-power) curve and I-V (current-voltage) curve obtained using estimated data closely matched the experimental data that showed the practical relevance and efficacy of the algorithm. A comparison is done among the SSE results obtained using CTLBO to other competitive algorithms mentioned in the literature. CTLBO showed its superiority over other algorithms in estimating the unknown parameters of PEMFC stack parameters., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Telephone and video appointments are still common post-pandemic, with an estimated 25%-50% of kidney appointments in the United Kingdom still conducted remotely. This is important as remote consultations may exacerbate pre-existing inequalities in those from underserved groups. Those from underserved groups are often not represented in health research and include those with learning disability, mental health needs, hearing/sight problems, young/older people, those from ethnic minority groups., Objectives: The aim was to develop a Toolkit to improve the quality of remote kidney care appointments for people from different underserved groups., Design: A parallel mixed methods approach with semistructured interviews/focus groups and survey. We also conducted workshops to develop and validate the Toolkit., Participants: Seventy-five renal staff members completed the survey and 21 patients participated in the interviews and focus groups. Patients (n = 11) and staff (n = 10) took part in the Toolkit development workshop, and patients (n = 13) took part in the Toolkit validation workshop., Results: Four themes from interviews/focus groups suggested areas in which remote appointments could be improved. Themes were quality of appointment, patient empowerment, patient-practitioner relationship and unique needs for underserved groups. Staff reported difficulty building rapport, confidentiality issues, confidence about diagnosis/advice given, technical difficulties and shared decision making., Conclusion: This study is the first to explore experiences of remote appointments among both staff and those from underserved groups living with kidney disease in the United Kingdom. While remote appointments can be beneficial, our findings indicate that remote consultations need optimisation to meet the needs of patients. The project findings informed the development of a Toolkit which will be widely promoted and accessible in the United Kingdom during 2024., (© 2024 The Author(s). Journal of Renal Care published by John Wiley & Sons Ltd on behalf of European Dialysis & Transplant Nurses Association/European Renal Care Association.)

Due to the difficulty of decentralized inference with conditional dependent observations, and motivated by large-scale heterogeneous networks, we formulate a framework for decentralized detection with coupled observations. Each agent has a state, and the empirical distribution of all agents' states or the type of network dictates the individual agents' behavior. In particular, agents' observations depend on both the underlying hypothesis as well as the empirical distribution of the agents' states. Hence, our framework captures a high degree of coupling, in that an individual agent's behavior depends on both the underlying hypothesis and the behavior of all other agents in the network. Considering this framework, the method of types, and a series of equicontinuity arguments, we derive the error exponent for the case in which all agents are identical and show that this error exponent depends on only a single empirical distribution. The analysis is extended to the multi-class case, and numerical results with state-dependent agent signaling and state-dependent channels highlight the utility of the proposed framework for analysis of highly coupled environments.

This paper describes the development and testing of a polynomial variety-based matrix completion (PVMC) algorithm. Our goal is to reduce computational effort associated with reaction rate coefficient calculations using variational transition state theory with multidimensional tunneling (VTST-MT). The algorithm recovers eigenvalues of quantum mechanical Hessians constituting the minimum energy path (MEP) of a reaction using only a small sample of the information, by leveraging underlying properties of these eigenvalues. In addition to the low-rank property that constitutes the basis for most matrix completion (MC) algorithms, this work introduces a polynomial constraint in the objective function. This enables us to sample matrix columns unlike most conventional MC methods that can only sample elements, which makes PVMC readily compatible with quantum chemistry calculations as sampling a single column requires one Hessian calculation. For various types of reactions─S N 2, hydrogen atom transfer, metal-ligand cooperative catalysis, and enzyme chemistry─we demonstrate that PVMC on average requires only six to seven Hessian calculations to accurately predict both quantum and variational effects.

This work examines the viability of matrix completion methods as cost-effective alternatives to full nuclear Hessians for calculating quantum and variational effects in chemical reactions. The harmonic variety-based matrix completion (HVMC) algorithm, developed in a previous study [S. J. Quiton et al., J. Chem. Phys. 153, 054122 (2020)], exploits the low-rank character of the polynomial expansion of potential energy to recover vibrational frequencies (square roots of eigenvalues of nuclear Hessians) constituting the reaction path using a small sample of its entities. These frequencies are essential for calculating rate coefficients using variational transition state theory with multidimensional tunneling (VTST-MT). HVMC performance is examined for four S N 2 reactions and five hydrogen transfer reactions, with each H-transfer reaction consisting of at least one vibrational mode strongly coupled to the reaction coordinate. HVMC is robust and captures zero-point energies, vibrational free energies, zero-curvature tunneling, and adiabatic ground state and free energy barriers as well as their positions on the reaction coordinate. For medium to large reactions involving H-transfer, with the sole exception of the most complex Ir catalysis system, less than 35% of total eigenvalue information is necessary for accurate recovery of key VTST-MT observables.

Public goods are biomolecules that benefit cellular populations, such as by providing access to previously unutilized resources. Public good production is energetically costly. To reduce this cost, populations control public good biosynthesis, for example using density-dependent regulation accomplished by quorum sensing. Fitness costs and benefits of public good production must be balanced, similar to optimal investment decisions used in economics. We explore the regulation of a public good that increases the carrying capacity, through experimental measurements of growth in Escherichia coli and analysis using a modified logistic growth model. The timing of public good production showed a sharply peaked optimum in population fitness. The cell density associated with maximum public good benefits was determined by the trade-off between the cost of public good production, in terms of reduced growth rate, and benefits received from public goods, in the form of increased carrying capacity., (© 2022 The Author(s).)

Aims: To explore younger adults' experiences of stroke rehabilitation to inform practice, education and future health policy., Design: Qualitative analysis of digital and other media sources on public platforms., Methods: Between March and June 2020, the experiences of younger adult stroke survivors aged 18 to 45 at the time of the stroke were collected. Data were gathered from publicly available sources, including social media, and from English-speaking users. In total, 117 accounts from 103 participants were identified from films, autobiographical books, blogs, websites, videos, Twitter and Instagram. Data analysis followed narrative and multimodal analysis with a focus on rehabilitation needs., Results: Younger adult stroke survivors make sense of their experience by reflecting on how stroke has impacted their lives. Accounts reflected an emotional journey between the past self, the present self and evolving self, as well as associated challenges such as the impact on relationships and careers. The majority of accounts presented transitions as problematic, including the receipt of the initial diagnosis, or sometimes misdiagnosis, to returning home and achieving long-term rehabilitation goals. Specialist stroke nurses were considered essential in the rehabilitation process., Conclusion: A complex process of recovery follows stroke for younger adult stroke populations. Challenges to the rehabilitation process need to be better understood and the role of nursing highlighted in future service provision. A series of age-related challenges were highlighted that require attention to improve the care and support offered., Impact: This article informs clinicians, educators, and policymakers of the age-related needs of young adult stroke survivors. Focusing on the individual and the development of age-appropriate person-centred stroke care is important. The study highlights the role of stroke nursing and challenges the current policy focus on older stroke populations as well as arguing for greater awareness of age-appropriate stroke rehabilitation in younger adults following stroke., (© 2021 John Wiley & Sons Ltd.)

Motivation: We discover that maximality of information content among intervals of Tandem Repeats (TRs) in animal genome segregates over taxa such that taxa identification becomes swift and accurate. Successive TRs of a motif occur at intervals over the sequence, forming a trail of TRs of the motif across the genome. We present a method, Tandem Repeat Information Mining (TRIM), that mines 4k number of TR trails of all k length motifs from a whole genome sequence and extracts the information content within intervals of the trails. TRIM vector formed from the ordered set of interval entropies becomes instrumental for genome segregation., Results: Reconstruction of correct phylogeny for animals from whole genome sequences proves precision of TRIM. Identification of animal taxa by TRIM vector upon feature selection is the most significant achievement. These suggest Tandem Repeat Interval Pattern (TRIP) is a taxa-specific constitutional characteristic in animal genome., Availabilityand Implementation: Source and executable code of TRIM along with usage manual are made available at https://github.com/BB-BiG/TRIM., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Aim: To determine the prevalence of, and reasons for, missed care by nurses and the factors associated with it in Iranian hospitals., Background: Despite providing high-quality patient care in hospitals, nurses often fail to deliver optimum care, which jeopardizes the safety of patients and increases health care costs. Therefore, identifying missed nursing care is essential if the quality of health services is to be improved., Methods: A cross-sectional study was conducted among 215 nurses working in the medical-surgical wards of eight public and private hospitals in Tabriz, Iran. The 'MISSCARE' survey tool was used to collect data in relation to the extent of missed care and the related reasons. Logistic regression models were used to assess the association between factors and missed nursing care., Results: Results showed that the mean score of overall missed nursing care was 2.57 and 72.1% of the nurses reported that they missed at least one nursing care item on their last shift. 'Patient discharge planning and teaching', 'emotional support to patient and/or family' and 'attend interdisciplinary care conferences whenever held' were the most common missed items by nurses in Iran. In a 5-point Likert scale, the most important reasons identified by nurses for missed care were 'human resources', 3.11 (95% CI: 3.03-3.19); 'material resources', 2.7 (95% CI: 2.6-2.8); and 'communication', 2.4 (95% CI: 2.3-2.5), respectively. Missed nursing care was associated with sex (OR for males = 2.83, 95% CI: 1.01-7.89), age (OR = 1.16, 95% CI: 1.01-1.33) and the number of patients under care (OR = 1.11, 95% CI 1.01-1.22). A reverse association was found with the number of patients discharged (OR = 0.89, 95% CI: 0.82-0.96) and satisfaction with teamwork (OR = 0.60, 95% CI: 0.41-0.89)., Conclusions: There is a need to identify the factors contributing to the incidence of missed nursing care in hospitals and to develop strategies to address these., Implications for Nursing Management: The results of this study highlighted the importance of addressing missed nursing care in Iranian public and private hospitals. Nursing management should consider improving communication between team members and units. Changes are required regarding task division and payments to the nursing staff. Further research is required to understand the reasons behind missed nursing care, and the development of appropriate policies to address better nursing care in hospitals is recommended., (© 2020 John Wiley & Sons Ltd.)

Structured statistical methods are promising for recovering or completing information from noisy and incomplete data with high fidelity. In particular, matrix completion exploits underlying structural properties such as rank or sparsity. Our objective is to employ matrix completion to reduce computational effort associated with the calculation of multiple quantum chemical Hessians, which are necessary for identification of temperature-dependent free energy maxima under canonical variational transition state theory (VTST). We demonstrate proof-of-principle of an algebraic variety-based matrix completion method for recovering missing elements in a matrix of transverse Hessian eigenvalues constituting the minimum energy path (MEP) of a reaction. The algorithm, named harmonic variety-based matrix completion (HVMC), utilizes the fact that the points lying on the MEP of a reaction step constitute an algebraic variety in the reaction path Hamiltonian representation. We demonstrate that, with as low as 30% random sampling of matrix elements for the largest system in our test set (46 atoms), the complete matrix of eigenvalues can be recovered. We further establish algorithm performance for VTST rate calculations by quantifying errors in zero-point energies and vibrational free energies. Motivated by this success, we outline next steps toward developing a practical HVMC algorithm, which utilizes a gradient-based sampling protocol for low-cost VTST rate computations.

In this Letter, we describe variable-temperature variable-field magnetic circular photoluminescence (VTVH-MCPL) spectroscopy as a complementary technique to absorption-based magnetic circular dichroism. A paramagnetic model system, Au 25 (SC 8 H 9 ) 18 , is chosen to demonstrate the information content that is obtained from VTVH-MCPL. Specifically, the methods and analyses for the determination of electronic Landé g-factors, zero-field energy splittings, and relative A-, B-, and C-term contributions to the MCPL response are detailed. The determination of these system properties from photoluminescence data suggests the feasibility of point-source-based super-resolution magneto-optical microscopy.

Novel κ(3) -N,N,O ligands tend to form 1D coordination polymer strands. Deposition of 1D structures on highly oriented pyrolytic graphite (HOPG) was achieved from diluted solutions and polymer strands have been studied on HOPG by AFM/STM. Single strands were mapped by STM and their electronic properties were subsequently characterized by current imaging tunneling spectroscopy (CITS). Periodic density functional calculations simulating a polymer strand deposited on a HOPG surface are in agreement with the zig-zag structure indicated by experimental findings. Both the observed periodicity and the Zn-Zn distances can be reproduced in the simulations. Van der Waals interactions were found to play a major role for the geometry of the isolated polymer strand, for the adsorption geometry on HOPG, as well as for the adsorption energy., (© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Introduction: India accounts for an estimated 457,000-884,000 hospitalizations and 2 million outpatient visits for diarrhea. In spite of the huge burden of rotavirus (RV) disease, RV vaccines have not been introduced in national immunization programme of India. Therefore, continuous surveillance for prevalence and monitoring of the circulating genotypes is needed to assess the disease burden prior to introduction of vaccines in this region., Methods: During January 2011 through December 2013, 830 and 1000 stool samples were collected from hospitalized and out-patient department (OPD) patients, respectively, in two hospitals in Kolkata, Eastern India. After primary screening, the G-P typing was done by multiplex semi-nested PCR using type specific primers followed by sequencing. Phylogenetic analysis for the VP7 gene of 25 representative strains was done., Results: Among hospitalized and OPD patients, 53.4% and 47.5% cases were positive for rotaviruses, respectively. Unlike previous studies where G1 was predominant, in hospitalized cases G9 rotavirus strains were most prevalent (40%), followed by G2 (39.6%) whereas G1 and G12 occurred at 16.4% and 5.6% frequency. In OPD cases, the most prevalent strain was G2 (40.3%), followed by G1, G9 and G12 at 25.5%, 22.8%, 9.3%, respectively. Phylogenetically the G1, G2 and G9 strains from Kolkata did not cluster with corresponding genotypes of Rotarix, RotaTeq and Rotavac (116E) vaccine strains., Conclusion: The study highlights the high prevalence of RV in children with gastroenteritis in Kolkata. The circulating genotypes have changed over the time with predominance of G9 and G2 strains during 2011-2013. The current G2, G9 and G1 Kolkata strains shared low amino acid homologies with current vaccine strains. Although there is substantial evidence for cross protection of vaccines against a variety of strains, still the strain variation should be monitored post vaccine introduction to determine if it has any impact on vaccine effectiveness., (Copyright © 2014. Published by Elsevier Ltd.)

Enteric fever, caused by Salmonella enterica, remains an unresolved public health problem in India and antimicrobial therapy is the main mode of treatment. The objective of this study was to characterize the Salmonella enterica isolates from Kolkata with respect to their antimicrobial resistance (AMR), virulence profiles and molecular subtypes. Salmonella enterica blood isolates were collected from clinically suspected enteric fever patients attending various hospitals in Kolkata, India from January 2009 to June 2013 and were tested for AMR profiles by standard protocols; for resistance gene transfer by conjugation; for resistance and virulence genes profiles by PCR; and for molecular subtypes by Pulsed Field Gel Electrophoresis (PFGE). A total of 77 Salmonella enterica serovar Typhi (S. Typhi) and 25 Salmonella enterica serovar Paratyphi A (S. Paratyphi A) from Kolkata were included in this study. Although multidrug resistance (resistance to chloramphenicol, ampicillin, co-trimoxazole) was decreasing in S. Typhi (18.2%) and absent in S. Paratyphi A, increased resistance to fluoroquinolone, the current drug of choice, caused growing concern for typhoid treatment. A single, non-conjugative non-IncHI1 plasmid of 180 kb was found in 71.4% multidrug resistant (MDR) S. Typhi; the remaining 28.6% isolates were without plasmid. Various AMR markers (blaTEM-1, catA, sul1, sul2, dfrA15, strA-strB) and class 1 integron with dfrA7 gene were detected in MDR S. Typhi by PCR and sequencing. Most of the study isolates were likely to be virulent due to the presence of virulence markers. Major diversity was not noticed among S. Typhi and S. Paratyphi A from Kolkata by PFGE. The observed association between AMR profiles and S. Typhi pulsotypes might be useful in controlling the spread of the organism by appropriate intervention. The study reiterated the importance of continuous monitoring of AMR and molecular subtypes of Salmonella isolates from endemic regions for better understanding of the disease epidemiology.

Aim: Cesarean delivery is associated with a significantly higher postoperative infection rate than that following vaginal birth and other surgical procedures. This study compared whether antibiotic prophylaxis administered preoperatively was more effective in preventing infectious morbidity following cesarean delivery than administration at cord clamping., Material and Methods: In a randomized comparative trial, 953 women with a period of gestation of more than 34 weeks, scheduled to have cesarean section, were randomly assigned to the prophylactic single-dose antibiotic administration either preoperatively (study group) or at cord clamping (control group). Primary outcome measure was postoperative maternal infectious morbidity and secondary outcome measures were neonatal complications, and postoperative maternal hospital stay and stay of neonates in the neonatal intensive care unit., Results: Wound complications in the form of indurations, erythema and discharge, were significantly fewer in the study group as compared to the control group (10/476 vs 25/477, P = 0.010, conditional maximum likelihood estimate of odds ratio = 0.388 and 95% confidence interval = 0.175-0.805). Women in the study group also had fewer incidents of endomyometritis when compared to the control group (1.47% vs 3.56%; P = 0.041; conditional maximum likelihood estimate of odds ratio = 0.404). There was no significant difference in neonatal outcomes between the two groups. Mean postoperative stay of mothers in hospital was significantly shorter in the study group (P = 0.009, 95% confidence interval = -0.368 to -0.052) but neonatal intensive care unit stay of neonates was similar in both groups., Conclusion: Administration of prophylactic antibiotic at 30-60 min before skin incision resulted in better maternal outcome when infectious morbidity and postoperative hospital stay were concerned, without influencing the neonatal outcome., (© 2013 The Authors. Journal of Obstetrics and Gynaecology Research © 2013 Japan Society of Obstetrics and Gynecology.)

We identified 281 Vibrio cholerae non-O1, non-O139 strains from patients with diarrhea in Kolkata, India. Cholera-like diarrhea was the major symptom (66.0%); some patients (20.3%) had severe dehydration. These strains lacked the ctxA gene but many had hlyA, rtxA, and rtxC genes. Pulsed-field gel electrophoresis showed no genetic link among strains.

The aim of the present study was to explore a new approach based on the hemagglutination (HA) assay to understand the colonization ability of Shigella spp. To study colonization ability, an animal model of 4-day-old suckling mouse, was exploited. We characterized the HA activity of 48 Shigella strains, with erythrocytes collected from rabbit, guinea pig, chicken, and sheep. Only rabbit and guinea pig erythrocytes showed positive HA reactions in most of the cases. On the basis of HA pattern, 4 strains from each serogroup were selected for in vivo colonization studies. Our results showed a positive correlation between HA activity and colonization ability of the strains belonging to different serogroups (groups A, B, C, and D) of Shigella. In all 4 serogroups, high HA titer was associated with greater intestinal colonization.

A dodecanuclear 3 × [2 × 2] nickel(II) complex has been obtained via the self-association of three tetranuclear [2 × 2] molecular grids. X-ray diffraction shows a "propeller-like" structure of the [Ni(4)](3) scaffold with a central μ(3)-hydroxide. The dodecanuclear species remains stable in solution and can be deposited without decomposition on highly ordered pyrolytic graphite surfaces.

Background: KNOWME Networks is a wireless body area network with 2 triaxial accelerometers, a heart rate monitor, and mobile phone that acts as the data collection hub. One function of KNOWME Networks is to detect physical activity (PA) in overweight Hispanic youth. The purpose of this study was to evaluate the in-laboratory recognition accuracy of KNOWME., Methods: Twenty overweight Hispanic participants (10 males; age 14.6 ± 1.8 years), underwent 4 data collection sessions consisting of 9 activities/session: lying down, sitting, sitting fidgeting, standing, standing fidgeting, standing playing an active video game, slow walking, brisk walking, and running. Data were used to train activity recognition models. The accuracy of personalized and generalized models is reported., Results: Overall accuracy for personalized models was 84%. The most accurately detected activity was running (96%). The models had difficulty distinguishing between the static and fidgeting categories of sitting and standing. When static and fidgeting activity categories were collapsed, the overall accuracy improved to 94%. Personalized models demonstrated higher accuracy than generalized models., Conclusions: KNOWME Networks can accurately detect a range of activities. KNOWME has the ability to collect and process data in real-time, building the foundation for tailored, real-time interventions to increase PA or decrease sedentary time.

Seven cases of intercondylar fractures of the distal humerus were treated by a mini-external fixation technique. The average range of motion was 30 degrees to 110 degrees. All fractures united with radiologic and clinical evidence of union at 10-12 weeks. Open wound sites healed in 6 cases. There were no evidence of any nerve palsies.

This cross sectional study in the Infectious Disease Hospital (IDH), Mohakhali, Dhaka on rabies affected paediatric population was carried out to see the patterns of presentation, age group at risk, state of vaccination following animal exposure and the interval between animal exposure and the development of the disease. This one year study included the patients aged less than 15 years with clinically diagnosed rabies referred to the IDH between July 2008 and June 2009. Data was collected from the case sheets of rabies patients given by the relatives and attendants of the victims. A total of 70 cases were included in the study. In the present study most common age group were 5 to 10 years of age with 31(44.3%) patients followed by less than 5 years 23(32.9%) and the rest 16(22.9%) were more than 10 years of age. The male female ratio was 3:1. Among the 70 patients 59(84.3%) were from rural areas and only 11(15.7%) were from urban areas. Sixty six (94.3%) patients presented with bleeding from the site of injury and 4(5.7%) were without bleeding. Among the patients 53(75.7%) presented with bite on the limbs followed by bite on the face 8(11.4%), body 5(7.1%) and head 4(5.7%) cases. Thirty nine of the cases (55.7%) presented with multiple bites and 31(44.3%) had single bite. More than half that is 37(52.9%) patients presented with severe bite, 31(44.3%) had moderate bite and only 2(2.9 %) patients presented with mild bite. Fifty nine (84.3%) patients were unvaccinated whereas 11(15.7%) had history of vaccination after bite. Fifty two (74.3%) gave the history of bite by stray animal, 10(14.3%) by known rabid animal whereas 8(11.4%) had the history of bite by pet animal. Sixty eight patients (97.1%) had the history of bite by dog whereas 2(2.9%) reported cat bite. The mean±SD incubation period 45.38±26.91 days and range was 11-150 days. In the present study it is concluded that the 5-10 years group children were affected most, bites were mostly by stray animal, most of the children did not get post exposure prophylaxis and incubation period was between 11 to 150 days.

More than half of all Salmonella enterica serovar Typhi genes still remain unannotated. Although pathogenesis of S. Typhi is incompletely understood, treatment of typhoid fever is complicated by the emergence of drug resistance. Effectiveness of the currently available vaccines is also limited. In search of novel virulence proteins, we have identified several putative adhesins of S. Typhi through computational approaches. Our experiment shows that a 27-kDa outer membrane protein (T2544) plays a major role in bacterial adhesion to the host through high-affinity binding to laminin. Its role in bacterial pathogenesis is underscored by reduced systemic invasion and a 10-fold higher LD(50) of the mutant bacteria in mice. T2544 is strongly immunogenic as revealed by the detection of sustained high titers of serum IgG and intestinal secretory IgA in the immunized mice. In vitro, T2544 antiserum enhanced uptake and clearance of Salmonella by macrophages and augmented complement-mediated lysis, indicating a contribution of T2544-specific antibodies to the killing process. This correlates well with the observed protection of mice immunized with recombinant T2544 or passively immunized with T2544 antiserum against subsequent bacterial challenge, suggesting that T2544-specific antibodies are involved in protection. The present study describes an adhesion protein of S. Typhi that contributes to bacterial pathogenesis. Protective antibodies in mice, rapid seroconversion of naturally infected individuals with increasing titers of anti-T2544 IgG from acute to convalescent sera suggesting antibody response in humans, and wide distribution and conservation of the cell-surface adhesin in the clinical isolates of different Salmonella serovars make T2544 a potential vaccine candidate.

The optimal allocation of samples for physical activity detection in a wireless body area network for health-monitoring is considered. The number of biometric samples collected at the mobile device fusion center, from both device-internal and external Bluetooth heterogeneous sensors, is optimized to minimize the transmission power for a fixed number of samples, and to meet a performance requirement defined using the probability of misclassification between multiple hypotheses. A filter-based feature selection method determines an optimal feature set for classification, and a correlated Gaussian model is considered. Using experimental data from overweight adolescent subjects, it is found that allocating a greater proportion of samples to sensors which better discriminate between certain activity levels can result in either a lower probability of error or energy-savings ranging from 18% to 22%, in comparison to equal allocation of samples. The current activity of the subjects and the performance requirements do not significantly affect the optimal allocation, but employing personalized models results in improved energy-efficiency. As the number of samples is an integer, an exhaustive search to determine the optimal allocation is typical, but computationally expensive. To this end, an alternate, continuous-valued vector optimization is derived which yields approximately optimal allocations and can be implemented on the mobile fusion center due to its significantly lower complexity.

We propose a new methodology to model high-level descriptions of physical activities using multimodal sensor signals (ambulatory electrocardiogram (ECG) and accelerometer signals) obtained by a wearable wireless sensor network. We introduce a two-step strategy where the first step estimates likelihood scores over the low-level descriptions of physical activities such as walking or sitting directly from sensor signals and the second step infers the high-level description based on the estimated low-level description scores. Assuming that a high-level description of a certain physical activity may consist of multiple low-level physical activities and a low-level physical activity can be observed in multiple high-level descriptions of physical activities, we introduce the statistical concept of latent topics in physical activities to model the high-level status with low-level descriptions. With an unsupervised approach using a database from unconstrained free-living settings, we show promising results in modeling high-level descriptions of physical activities.

Objectives: Shigellosis is a major public health problem, and increasing antimicrobial resistance has complicated its treatment. We report isolation frequency, plasmid profiles and antimicrobial resistance of Shigella subtypes in Kolkata, India, from a prospective hospital-based study., Methods: Fresh stool or rectal swabs were collected from children (<5 years) attending the Diarrhea Treatment Unit of a governmental paediatric referral hospital in Kolkata. Samples were processed following standard methods over a 7-year period from January 2001 to December 2007., Results: Of 4478 samples collected, 516 (11.5%) were positive for Shigella spp. S. flexneri (312; 6.9%) was the most frequently isolated serogroup, ranking before S. sonnei (123, 2.7%), S. dysenteriae (48, 1.1%) and S. boydii (33, 0.7%). Although 10 subtypes of S. flexneri were identified, the common ones circulating locally were S. flexneri 2a (179), S. flexneri 6 (38) and S. flexneri 3a (36). Knowledge of Shigella subtypes is important for vaccine development. The majority of Shigella isolates (81.0%) were multidrug (two or more antimicrobial classes) resistant and showed high minimum inhibitory concentration (MIC) with commonly used drugs like ampicillin, tetracycline, co-trimoxazole and nalidixic acid. Emergence of fluoroquinolone (FQ)-resistant S. dysenteriae type 1 (100.0%) in 2002-2003 was followed by frequent isolation (>25.0%) of FQ-resistant S. flexneri 2a, and S. flexneri 3a in 2004, which restricted use of fluoroquinolones for treatment. A number of smaller plasmids (<20 kb) with distinct patterns have been observed for several years in predominant subtypes., Conclusion: Long-term surveillance of Shigellae and their antimicrobial resistance are mandatory in endemic areas to formulate treatment policy until any suitable candidate vaccine is available to control the disease., (© 2010 Blackwell Publishing Ltd.)

Aim: A total of 625 faecal specimens of diarrheic cases (n-313) and non diarrheic controls (n-312), were screened by RT-PCR to detect Noroviruses in children aged below 5 years in Kolkata, India., Materials and Methods: Out of the 313 fecal specimens (cases) screened using CDC primer set, 10 (3.19%) showed amplification in reverse transcription-polymerase chain reaction (RT-PCR) for Norovirus. These included 5 of 260 (1.92%) from hospitalized and 5 of 53 (9.43%) from out patients departament (OPD) cases., Results: Nine (90%) of Norovirus positive cases belonged to genogroup GII and one specimen (10%) was positive for genogroup GI. Among the 312 non diarrheic controls 2 (0.63%) were positive for Norovirus GII. Partial RNA dependent RNA polymerase gene (RdRp) sequences corresponding to the six Norovirus GII positive samples showed homology to the sequences of Djibouti (horn of Africa), Brazil, Italy, Japan and US norovirus strains., Conclusion: This study shows the detection of newly emerging Norovirus strains among diarrheic and non diarrheic children in Kolkata.

A physical activity (PA) recognition algorithm for a wearable wireless sensor network using both ambulatory electrocardiogram (ECG) and accelerometer signals is proposed. First, in the time domain, the cardiac activity mean and the motion artifact noise of the ECG signal are modeled by a Hermite polynomial expansion and principal component analysis, respectively. A set of time domain accelerometer features is also extracted. A support vector machine (SVM) is employed for supervised classification using these time domain features. Second, motivated by their potential for handling convolutional noise, cepstral features extracted from ECG and accelerometer signals based on a frame level analysis are modeled using Gaussian mixture models (GMMs). Third, to reduce the dimension of the tri-axial accelerometer cepstral features which are concatenated and fused at the feature level, heteroscedastic linear discriminant analysis is performed. Finally, to improve the overall recognition performance, fusion of the multimodal (ECG and accelerometer) and multidomain (time domain SVM and cepstral domain GMM) subsystems at the score level is performed. The classification accuracy ranges from 79.3% to 97.3% for various testing scenarios and outperforms the state-of-the-art single accelerometer based PA recognition system by over 24% relative error reduction on our nine-category PA database.

Background: Noroviruses (NoVs) are one of the major causal agents of acute gastroenteritis among different age groups. Some of the recent studies reveal that NoV genome is highly prone to mutation and recombination which often leads to emergence of new strains., Objectives: To explore the genetic diversity of human Caliciviruses (HuCVs) among diarrhoeic children in Kolkata., Study Design: The HuCVs were detected by reverse transcription-polymerase chain reaction (RT-PCR) of the partial RNA dependent RNA polymerase gene (RdRp) and capsid gene and confirmed by sequencing. The sequences were analyzed and the recombination point was detected., Results: Faecal specimens of children (n=111) visiting outpatient department of Dr B. C. Roy Memorial Hospital for Children with acute gastroenteritis were studied: 22 cases were HuCV positive with 21 NoVs. Of these, 12 NoV cases (54.5%) were GII.4 and six cases showed 99% identity with the new variant Japanese strain Hu/NoV/GII.4/OC07138/JP. Three novel NoV GII inter-genotype recombinant strains V1628/IND, V1656/IND and V1737/IND were also detected. The RdRp region of V1628 showed 96% identity with Pont de Roide 673/FRN whereas capsid region resembled GII.7/Osaka F140/JPN strain (98%); the strain V1656 showed 98% identity with RdRp region of GII.4/Monastir 375/TUN but capsid region resembled GII.8/Leverkusen 267/DE (91%); the strain V1737 showed 88% identity with RdRp of GII.5/Minato 6/N1/6/JPN whereas capsid region resembled the GII.12/Gifu 96/JPN (93%). During characterization of Caliciviruses two strains of NoV GII.b and one strain of each NoV GI.1/V1622/06/IND, GI.3/V1707/07/IND, GII.3/V1668/IND, GII.16/V1729/IND, Sapovirus GII.1/V1716/IND were also detected., Conclusions: The emergence of new variant of GII.4/2007, three novel NoV GII inter-genotype recombinant strains and various other NoVs, indicates the remarkable genetic diversity of the HuCVs as diarrhoeagenic viruses circulating in Kolkata, India.

Multi-hypothesis activity-detection using a wireless body area network is considered. A fusion center receives samples of biometric signals from heterogeneous sensors. Due to the different discrimination capabilities of each sensor, an optimized allocation of samples per sensor results in lower energy consumption. Optimal sample allocation is determined by minimizing the probability of misclassification given the current activity state of the user. For a particular scenario, optimal allocation can achieve the same accuracy (97%) as equal allocation across sensors with an energy savings of 26%. As the number of samples is an integer, further energy reduction is achieved by developing an approximation to the probability of misclassification which allows for a continuous-valued vector optimization. This alternate optimization yields approximately optimal allocations with significantly lower complexity, facilitating real-time implementation.

Background: In addition to four globally important group A rotavirus (GARV) VP7 genotypes (G1-G4), recent surveillance studies have revealed importance of G9 strains as an aetiological agent of infantile diarrhoea., Objective: Detection and genotyping of GARVs from children, admitted with gastroenteritis to Dr. B.C. Roy Memorial Hospital for Children, Kolkata, India., Study Design: GARVs were detected in stool specimens by RNA electrophoresis in polyacrylamide gels. G- and P-genotyping were performed by seminested multiplex PCR assays. VP7 gene of rotavirus G9 and G12 strains were sequenced for further analysis., Results: Of 249 GARV strains (n=668, May 2005-December 2006), G- and P-genotyping were successfully accomplished for 197 and 204 samples, respectively. G1 (41.6%) was most prevalent G-genotype followed by G2 (33%), G12 (14.2%), G9 (10.1%) and mixed genotype (1%). Prevalent P-genotypes were P[8] (54.4%), P[4] (31.4%), P[6] (7.3%) and mixed genotype (6.9%). Overall, G1P[8], G2P[4], G9P[8], G12P[8] and G12P[6] were identified as important G-P combinations. Phylogenetic analysis of 13 G9 strains revealed clustering within G9 lineage III. Nine of 28 G12 strains were sequenced and exhibited phylogenetic clustering with previously reported G12 strains from Kolkata., Conclusion: In comparison to our previous data (2003 to April 2005), G9 and G2P[4] strains established themselves in a short time span as important genotypes in eastern India.

Picobirnaviruses (PBVs) with bisegmented small RNA genome profile (1.75 and 1.55kbp for segment 1 and 2, respectively) were detected from 1999 to 2003 in faecal specimens of acute watery diarrhoea cases, largely children (n=20) and an adult in Kolkata, India. Varying degrees of dehydration necessitated their visit to hospital for further treatment and management of acute watery diarrhoea. PBV was associated with rotavirus (n=3) or astrovirus (n=3) and with both in one case. No co-infection with norovirus, sapovirus or adenovirus was detected in the picobirnavirus positive cases. No co-infection with parasites (Cryptosporidium spp., Giardia spp., Entamoeba spp., helminths) or bacteria (Vibrio spp., Shigella spp., Escherichia coli) was detected among the picobirnavirus positive cases. There was a single instance of co-infection with Salmonella spp. (n=1). PBVs not associated with serious diarrhoea illness and showing large genome profile (2.3-2.6 and 1.5-1.9kbp for segment 1 and 2, respectively) have earlier been reported in adult individuals and recently among children from a slum community in Kolkata, India. The short genome profile PBVs associated with acute watery diarrhoea may be another emerging diarrhoeagenic virus in Kolkata, India. Molecular characterization using reported primers PicoB25-PicoB43 for Genogroup I and PicoB23-PicoB24 for Genogroup II in RT-PCR showed the presence of Genogroup I PBVs (n=6) and Genogroup II PBVs (n=5), while some could not be amplified (n=3) with these primers. Sequence analysis of Genogroup I amplicons indicated remarkable sequence heterogeneity. After more than a decade, four PBV positives of Genogroup II were detected during this study. Phylogenetic analysis showed varying degree of genetic diversity amongst PBV strains from Kolkata and other countries.

Unlabelled: The study is aimed to determine the seasonal distribution and clinical characteristics of astroviruses associated with acute watery diarrhoea among children in Kolkata and characterize them at the molecular level., Method of Study: Faecal specimens of acute watery diarrhoea cases (n=857) and non-diarrhoeic samples (n=211) from the hospitals and a nearby field community were screened with IDEIA Astrovirus detection kit; astrovirus co-infections with rotavirus and/or picobirnavirus were detected by RNA-PAGE and silver staining. Further RT-PCR was carried out using specific primers, viz. Mon340 (+) and Mon348 (-) targeting a highly conserved domain of ORF1a (289 bp) of human astroviruses., Results: Astrovirus infection was detected in 50 cases (50/857); astroviruses were detected mostly in children aged 6-12 months (50%); all non-diarrhoeic samples (n=211) were negative for astrovirus. In 52% of astrovirus positive cases, the virus was detected as the sole agent; mixed infections were also detected with other diarrhoeic pathogens such as rotavirus (32%), picobirnavirus (2%), rotavirus and picobirnavirus (2%), picobirnavirus and Enterotoxigenic E. coli (ETEC) (2%), rotavirus and ETEC (2%), rotavirus and Enteroaggregative E. coli (EAEC) (2%), Enteropathogenic E. coli (EPEC) (2%), Shigella flexneri type 3a (2%) and Ascaris (2%). RT-PCR and sequencing of amplicons of astroviruses from Kolkata, with specific primers targeted to the conserved domain of ORF1a (289 bp) of the astrovirus genome, showed maximum homology to the astrovirus strain ("5-158") from Seoul (98%)., Results and Conclusions: Clinical characteristics of the diarrhoeic children in Kolkata indicated that astrovirus infections were detected throughout the year and were associated with varying degree of dehydration and acute watery diarrhoea. In-depth molecular epidemiological surveillance of astroviruses in Kolkata is essential for better understanding of their overall genetic nature.

Background: Rotavirus genotypes, G1-G4 and G9 are associated with childhood diarrhoea throughout the world. In our previous study, we detected G1, G2, G4 and three G12 strains from Kolkata, India., Objectives: To study the prevalence of G- and P-genotypes of rotaviruses associated with dehydrating diarrhoea in children admitted to two leading hospitals in eastern India., Study Design: An active surveillance was conducted for elucidation of rotavirus infection in two leading hospitals in Kolkata, West Bengal and Berhampur (GM), Orissa, India, separated by 603km from January 2003 to April 2005. The rotaviruses were detected by RNA electrophoresis in polyacrylamide gels. G- and P-typing of the positive samples were accomplished by amplifying VP7 and VP4 genes by RT-PCR and genotyped by seminested multiplex PCR methods. Sequencing, sequence analysis and phylogenetic analysis of VP7 genes of G12 strains were carried out to understand the variations between the strains isolated from different parts of the world., Results: The genotypic distribution varied remarkably from our earlier study period (1998-2001) with G1 (53.8%) being the most predominant strain followed by G2 (22.5%), G12 (17.1%), G9 (2.1%) and not a single G3 or G4 isolate was detected separately. 35.2% samples exhibited mixed P-types followed by P[4] (31.7%), P[8] (21.8%) and P[6] (9.8%). The phylogenetic analysis of G12 strains revealed that the G12 strains detected from different parts of the world clustered into three different lineages. Though VP7 sequences of G12 strains isolated from Kolkata and Berhampur are conserved, their P-types were different., Conclusion: During this study period we reported emergence of G12 strains as an important pathogen among children in eastern India, thus necessitating its inclusion in future polyvalent vaccine to control rotavirus diarrhoea.

Background: Human group B rotavirus was first identified as causative agent of a large outbreak of severe gastroenteritis affecting more than 1 million people, predominantly adults in China in 1982-1983. In spite of serological evidences for the presence of group B rotavirus in many countries of the world, the virus has been detected only from China, India and Bangladesh, where most of the cases were from adults., Objectives: To ascertain the role of group B rotavirus as an aetiological agent of diarrhoea among children in Kolkata, India., Study Design: An active surveillance was conducted for rotavirus infection in children in a leading referral paediatric hospital and a few samples were also collected from adults of another hospital in Kolkata, India over a period of 3 years (2002-2004). After primary screening of rotaviruses by RNA electrophoresis in polyacrylamide gel, 200 of 412 samples negative by PAGE were screened by reverse transcription polymerase chain reaction for group B rotaviruses. The group B rotavirus positives samples were also confirmed by dot-blot hybridization., Result: During the study period, we detected 37 (18.5%) sporadic cases of human group B rotavirus infection in children below 3 years of age of which 15 (7.5%) showed mixed infection with group A rotaviruses by RT-PCR. In dot-blot hybridization studies the RNA of all rotavirus positive samples hybridized with the nonisotopic psoralen-biotin labeled total RNA probe generated from a human group B rotavirus CAL-1 strain confirming the samples as group B rotaviruses., Conclusion: The shift in age preference of group B rotavirus infection from adult to children and mixed infection of group B and group A rotaviruses reveals the importance of group B rotavirus as an etiological agent of childhood diarrhoea. Therefore, future vaccination strategy should include both group A and B rotaviruses to control rotavirus diarrhoea.

The incidence, phenotypic characteristics and antimicrobial resistance patterns of 193 Shigella strains isolated from 2489 hospitalized children with acute diarrhoea were studied during January 2001 to August 2004. S. flexneri (60%) was the most prevalent serogroup, followed by S. sonnei (23.8%), S. dysenteriae (9.8%) and S. boydii (5.7%). Since 2002, S. flexneri 2a was the most dominant serotype. Almost all S. flexneri strains exhibited resistance to ampicillin, co-trimoxazole, tetracycline, nalidixic acid and fluoroquinolones. After a lapse of almost 14 years, S. dysenteriae type 1 strains reemerged for the first time during 2002 and these strains were resistant to more than two antibiotics (multidrug resistance), including fluoroquinolones. An upsurge of similar resistance patterns was also noted among S. flexneri type 2a since December 2003. Resistance to fluoroquinolone increased year on year among S. dysenteriae type 1 and S. flexneri, but not in S. boydii or S. sonnei. Monitoring of antimicrobial susceptibility through a surveillance programme is recommended to select appropriate antibiotics for the effective treatment of shigellosis in this region.

Controlling transmitted power in a wireless network is critical for maintaining quality of service, maximizing channel utilization and minimizing near-far effect for suboptimal receivers. In this paper, a general proportional-integral-derivative (PID) type algorithm for controlling transmitted powers in wireless networks is studied and a systematic way to adapt or tune the parameters of the controller in a distributed fashion is suggested. The proposed algorithm utilizes multiple candidate PID gains. Depending on the prevailing channel conditions, it selects an optimal PID gain from the candidate gain set at each instant and places it in the feedback loop. The algorithm is data driven and can distinguish between stabilizing and destabilizing controller gains as well as rank the stabilizing controllers based on their performance. Simulation results indicate that the proposed scheme performs better than several candidate controllers, including a well known distributed power control (DPC) algorithm.