bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting children's sleep health: Intervention Mapping meets Health in All Policies
Authors: Belmon Laura S. , Van Stralen Maartje M. , Harmsen Irene A. , Den Hertog Karen E. , Ruiter Robert A. C. , Chinapaw Mai J. M. , Busch Vincent 
Published: November 2022

BackgroundTo design a comprehensive approach to promote children's sleep health in Amsterdam, the Netherlands, we combined Intervention Mapping (IM) with the Health in All Policies (HiAP) perspective. We aimed to create an approach that fits local infrastructures and policy domains across sectors.MethodsFirst, a needs assessment was conducted, including a systematic review, two concept mapping studies, and one cross-sectional sleep diary study (IM step 1). Subsequently, semi-structured interviews with stakeholders from policy, practice and science provided information on potential assets from all relevant social policy sectors to take into account in the program design (HiAP and IM step 1). Next, program outcomes and objectives were specified (IM step 2), with specific objectives for policy stakeholders (HiAP). This was followed by the program design (IM step 3), where potential program actions were adapted to local policy sectors and stakeholders (HiAP). Lastly, program production (IM step 4) focused on creating a multi-sector program (HiAP). An advisory panel guided the research team by providing tailored advice during all steps throughout the project.ResultsA blueprint was created for program development to promote children's sleep health, including a logic model of the problem, a logic model of change, an overview of the existing organizational structure of local policy and practice assets, and an overview of policy sectors, and related objectives and opportunities for promoting children's sleep health across these policy sectors. Furthermore, the program production resulted in a policy brief for the local government.ConclusionsCombining IM and HiAP proved valuable for designing a blueprint for the development of an integrated multi-sector program to promote children's sleep health. Health promotion professionals focusing on other (health) behaviors can use the blueprint to develop health promotion programs that fit the local public service infrastructures, culture, and incorporate relevant policy sectors outside the public health domain.
Practice of integrated vector surveillance of arthropod vectors, pathogens and reservoir hosts to monitor the occurrence of tropical vector-borne diseases in 2020 in Zhejiang Province, China
Authors: Wu Yuyan , Wang Jinna , Liu Qinmei , Li Tianqi , Luo Mingyu , Gong Zhenyu 
Published: November 2022

BackgroundVector-borne diseases have become one of the most serious local public health threats. Monitoring and controlling vectors are important means of controlling vector-borne diseases. However, traditional vector surveillance systems in China mainly monitor vector density, making its early-warning effect on vector-borne diseases weak. In this study, we applied an integrated surveillance system of multiple arthropod vectors and reservoir host containing ecology, etiology, and drug resistance monitoring to obtain better knowledge on vector populations and provide early warning of suspicious vector-borne infectious disease occurrence.MethodsAn ecology surveillance of mosquitoes, rodents, ticks, and chigger mites, a pathogen infection survey on mosquitoes and rodents, and a drug resistance survey on Aedes albopictus were conducted in 12 cities in Zhejiang Province in 2020.ResultsA total of 15,645 adult mosquitoes were collected at a density of 19.8 mosquitoes per Centers for Disease Control and Prevention light trap. Culex tritaeniorhynchus (72.76%) was the most abundant species. The Breteau index of Ae. albopictus was 13.11. The rodent density was 0.91 rodents per hundred traps; the most abundant species was Rattus norvegicus (33.73%). The densities of dissociate and ectoparasitic ticks were 0.79 ticks per hundred meters and 0.97 ticks per animal, respectively. The most abundant tick species was Haemaphysalis longicornis (56.38%). The density of chigger mites was 14.11 per rodent; two species were identified, with the most abundant species being Walchia spp. mite (68.35%). No flavivirus or alphavirus was found in mosquito etiology monitoring, whereas the positivity rates of hantavirus, the pathogenic bacteria Leptospira spp., Orientia tsutsugamushi, and Bartonella spp. detected in rodent etiology monitoring were 1.86, 7.36, 0.35 and 7.05%, respectively. Field populations of Ae. albopictus in Zhejiang Province were widely resistant to pyrethroids but sensitive to most insecticides tested, including organophosphorus and carbamate insecticides.ConclusionIntegrated surveillance systems on multiple arthropod vectors (mosquitoes, ticks, mites) and animal reservoirs (rodents) can provide important information for the prevention and control of epidemic emergencies.
Identification and Antimicrobial Resistance in Klebsiella spp. Isolates from Turkeys in Poland between 2019 and 2022
Authors: Kowalczyk Joanna , Czokajło Ilona , Gańko Marta , Śmiałek Marcin , Koncicki Andrzej 
Published: November 2022

One of the important problems in poultry production is bacterial infections and increasing resistance to antibiotics. The increasing incidence of multidrug-resistant bacteria is a major challenge for physicians and veterinarians and considerably limits treatment options. This study was undertaken in order to assess the prevalence and antibiotic resistance of Klebsiella spp. strains isolated from turkeys sampled from 2019 to 2022 in Poland. The material for study consisted of clinical samples taken during routine monitoring and microbiological identification testing at commercial poultry farms. From all 507 isolates of Klebsiella, 95% were identified by MALDI-TOF (Matrix-Assisted Laser Desorption - Ionisation-Time of Flight) as Klebsiella pneumonia, 2% were Klebsiella oxytoca, 2% Klebsiella variicola, or unidentified (1%). All isolated Klebsiella strains were tested for antimicrobial susceptibility by disk diffusion. The results of our study indicated that colistin, neomycin, florfenicol and amoxicillin/clavulanic acid were the most effective against the Klebsiella spp. isolated from turkeys. In addition, the results show a decrease in the number of multi-resistant Klebsiella spp. strains between 2019 and 2021.
Fermentation of Clementine Juice with Lactobacillus salivarius spp. salivarius CECT 4063: Effect of Trehalose Addition and High-Pressure Homogenization on Antioxidant Properties, Mucin Adhesion, and Shelf Life
Authors: Burca-Busaga Cristina Gabriela , Betoret Noelia , Seguí Lucía , Barrera Cristina 
Published: November 2022

Fermentation of fruit juices with lactic acid bacteria enhances their antioxidant properties to a different extent depending on the microbial strain and the growing media composition, which can be modified by adding certain ingredients or applying a homogenization step. This study analyzed the effect of trehalose addition (10%, w/w) and homogenization at 100 MPa before or after Lactobacillus salivarius spp. salivarius CECT 4063 inoculation on the antioxidant profile and the microbiological properties of commercial clementine juice during 96 h fermentation. Antioxidant properties and viable cell count of 24 h-fermented juices during refrigerated storage (30 days at 4 °C) were also evaluated. Fermentation over 24 h reduced the microbial population and antioxidant content of clementine juice. Homogenizing the juice before inoculation enhanced the microbial growth but favored antioxidant degradation. Adding trehalose (10%, w/w) to the juice formulation and/or homogenizing at the fermented juice at 100 MPa for 24 h had a negative impact on viable counts and did not improve the microbial adhesion to intestinal mucosa. However, both techniques prevented antioxidant oxidation and cell decay during the storage of fermented juice under refrigeration, which should not last more than 15 days.
Hydrocarbon Degradation and Microbial Survival Improvement in Response to γ-Polyglutamic Acid Application
Authors: Zając Ewelina , Fabiańska Monika J. , Jędrszczyk Elżbieta , Skalski Tomasz 
Published: November 2022

To improve the environmental sustainability of cleanup activities of contaminated sites there is a need to develop technologies that minimize soil and habitat disturbances. Cleanup technologies, such as bioremediation, are based on biological products and processes, and they are important for the future of our planet. We studied the potential of γ-poly glutamic acid (PGA) as a natural component of biofilm produced by Bacillus sp. to be used for the decomposition of petroleum products, such as heavy naphtha (N), lubricating oil (O), and grease (G). The study aimed to assess the impact of the use of different concentrations of PGA on the degradation process of various fractions of petroleum hydrocarbons (PH) and its effect on bacterial population growth in harsh conditions of PH contamination. In laboratory conditions, four treatments of PGA with each of the petroleum products (N, O, and G) were tested: PGA0 (reference), PGA1 (1% PGA), PGA1B (1% PGA with Bacillus licheniformis), and PGA10 (10% PGA). After 7, 28, 56, and 112 days of the experiment, the percentage yield extraction, hydrocarbon mass loss, geochemical ratios, pH, electrical conductivity, and microorganisms survival were determined. We observed an increase in PH removal, reflected as a higher amount of extraction yield (growing with time and reaching about 11% in G) and loss of hydrocarbon mass (about 4% in O and G) in all treatments of the PGA compared to the reference. The positive degradation impact was intensive until around day 60. The PH removal stimulation by PGA was also reflected by changes in the values of geochemical ratios, which indicated that the highest rate of degradation was at the initial stage of the process. In general, for the stimulation of PH removal, using a lower (1%) concentration of PGA resulted in better performance than a higher concentration (10%). The PH removal facilitated by PGA is related to the anionic homopoliamid structure of the molecule and its action as a surfactant, which leads to the formation of micelles and the gradual release of PH absorbed in the zeolite carrier. Moreover, the protective properties of PGA against the extinction of bacteria under high concentrations of PH were identified. Generally, the γ-PGA biopolymer helps to degrade the hydrocarbon pollutants and stabilize the environment suitable for microbial degraders development.
Numerical Investigation of Photo-Generated Carrier Recombination Dynamics on the Device Characteristics for the Perovskite/Carbon Nitride Absorber-Layer Solar Cell
Authors: Saeed Faisal , Haseeb Khan Muhammad , Tauqeer Haider Ali , Haroon Asfand , Idrees Asad , Shehrazi Syed Mzhar , Prokop Lukas , Blazek Vojtech , Misak Stanislav , Ullah Nasim 
Published: November 2022

The nitrogenated holey two-dimensional carbon nitride (C2N) has been efficaciously utilized in the fabrication of transistors, sensors, and batteries in recent years, but lacks application in the photovoltaic industry. The C2N possesses favorable optoelectronic properties. To investigate its potential feasibility for solar cells (as either an absorber layer/interface layer), we foremost detailed the numerical modeling of the double-absorber-layer–methyl ammonium lead iodide (CH3NH3PbI3) –carbon nitride (C2N) layer solar cell and subsequently provided in-depth insight into the active-layer-associated recombination losses limiting the efficiency (η) of the solar cell. Under the recombination kinetics phenomena, we explored the influence of radiative recombination, Auger recombination, Shockley Read Hall recombination, the energy distribution of defects, Band Tail recombination (Hoping Model), Gaussian distribution, and metastable defect states, including single-donor (0/+), single-acceptor (−/0), double-donor (0/+/2+), double-acceptor (2/−/0−), and the interface-layer defects on the output characteristics of the solar cell. Setting the defect (or trap) density to 1015cm−3 with a uniform energy distribution of defects for all layers, we achieved an η of 24.16%. A considerable enhancement in power-conversion efficiency ( η~27%) was perceived as we reduced the trap density to 1014cm−3 for the absorber layers. Furthermore, it was observed that, for the absorber layer with double-donor defect states, the active layer should be carefully synthesized to reduce crystal-order defects to keep the total defect density as low as 1017cm−3 to achieve efficient device characteristics.
Serotype Distribution, Virulence Determinants and Antimicrobial Susceptibility of Streptococcus agalactiae Isolated from Young Infants
Authors: Jin Zhengjiang , Li Juan , Zhou Haijian , Wang Zhenhui , Yi Lu , Liu Nian , Du Jiaxi , Chang Chien-Yi , Ji Wenjing 
Published: November 2022

Background: Streptococcus agalactiae (Group B Streptococcus, GBS) is the most common cause of serious infections in the first 3 months of life worldwide. The pathogenicity of GBS is closely related to serotypes, surface proteins and virulence factors, and the distribution of them may vary temporally and geographically. However, data related to GBS surface proteins and virulence determinants in China are very few. The aim of this study is to investigate the genetic characteristics of clinical GBS isolates from infected infants. Methods: We recovered GBS isolates from infected infants younger than 3 months during 2017–2021 at Maternal and Child Health Hospital of Hubei Province in China. We assessed the GBS serotypes, surface proteins, virulence determinants and antibiotic resistance genes distribution, by Multilocus sequence typing (MLST) and whole-genome sequencing analysis. Results: Among 97 isolates (81 EOD and 16 LOD), 5 serotypes were detected. Serotype III was the most represented (49.5%), followed by type Ib (20.6%). The isolates belonged to 17 different sequence types (STs) that grouped into the 8 clonal complexes (CCs). The most frequently identified ST was ST17 (23.7%). The most predominant surface protein of alpha-protein-like (alp) family (one of the protein components of the GBS surface antigen, resistant to trypsin) present was Rib (41.2%), which was mainly detected in serotype III. The srr1, which encodes Srr1 protein, was identified in 54.6% of isolates. The hvgA encoding for hypervirulent GBS adhesin can be detected in all 24 serotype III GBS. Among the pilus islands genes, 50% and 58.8% of the isolates were positive for pi-1 and pi-2a genes, respectively. The presence of pi-2b was mainly associated with serotype III/CC17 strains; 56.7% of isolates carried tetM, tetO/tetL, ermB antibiotic resistant genes. Among all the virulence genes detected, the cfb-cylE-lmb-pavA pattern was the main virulence gene profile (81.4%), mainly in serotype III/CC17. Conclusions: The whole genomic sequencing data revealed the high variation in surface proteins, determining virulence and antibiotic resistance in clinical isolates from 97 GBS infected infants. These data provide insightful characteristics of genetic features of GBS. Constant epidemiological surveillance is warranted to provide information on the GBS pathogenic dynamics and antibiotic resistance profiles in the surveyed areas for improving therapeutic outcomes.
Anti-Candida Activity of Extracts Containing Ellagitannins, Triterpenes and Flavonoids of Terminalia brownii, a Medicinal Plant Growing in Semi-Arid and Savannah Woodland in Sudan
Authors: Salih Enass Y. A. , Julkunen-Tiitto Riitta , Luukkanen Olavi , Fyhrqvist Pia 
Published: November 2022

Various parts of Terminalia brownii (Fresen) are used in Sudanese traditional medicine against fungal infections. The present study aimed to verify these uses by investigating the anti-Candida activity and phytochemistry of T. brownii extracts. Established agar diffusion and microplate dilution methods were used for the antifungal screenings. HPLC-DAD and UHPLC/QTOF-MS were used for the chemical fingerprinting of extracts and for determination of molecular masses. Large inhibition zones and MIC values of 312 µg/mL were obtained with acetone, ethyl acetate and methanol extracts of the leaves and acetone and methanol extracts of the roots. In addition, decoctions and macerations of the leaves and stem bark showed good activity. Sixty compounds were identified from a leaf ethyl acetate extract, showing good antifungal activity. Di-, tri- and tetra-gallotannins, chebulinic acid (eutannin) and ellagitannins, including an isomer of methyl-(S)-flavogallonate, terflavin B and corilagin, were detected in T. brownii leaves for the first time. In addition, genipin, luteolin-7-O-glucoside, apigenin, kaempferol-4’-sulfate, myricetin-3-rhamnoside and sericic acid were also characterized. Amongst the pure compounds present in T. brownii leaves, apigenin and β-sitosterol gave the strongest growth inhibitory effects. From this study, it was evident that the leaf extracts of T. brownii have considerable anti-Candida activity with MIC values ranging from 312 to 2500 µg/mL.
Reflexive Sustainable Technology Labs: Combining Real-World Labs, Technology Assessment, and Responsible Research and Innovation
Authors: Parodi Oliver , Bögel Paula , Beecroft Richard , Seebacher Andreas , Wagner Felix , Hahn Julia 
Published: November 2022

There is an increasing call for science to contribute more to real-world solutions for a sustainability transformation. At the same time, the scientific landscape encompasses different concepts, which are characterized as practice-oriented, addressing social challenges and wicked problems, which thus offer potential to contribute to a transformation, notably: technology assessment (TA), responsible research and innovation (RRI), and real-world labs (RwLs). This article deals with the question of how these different concepts can be better integrated to contribute to a transformation. With this goal in mind, we analyze the three concepts, show their core characteristics, and identify their common key similarities. TA and RRI have rarely been connected to transformative sustainability research in general or RwLs in particular. Based on the key similarities and respective strengths of the three concepts, we suggest four ways to integrate the approaches, including the novel endeavor of a Reflexive Sustainable Technology Lab as the highest level of the concepts’ synthesis.
Assistência de enfermagem ao neonato com cardiopatia congênita – uma revisão integrativa
Authors: Santos Evylla Kethlly Almeida , Lins Izadora Vanderlei de Gusmão , Santos Tamyssa Simões dos 
Published: November 2022

Introdução: A cardiopatia em neonatos é caracterizada por alguma malformação ou má funcionamento no coração do recém-nascido - RN, comprometendo o funcionamento hemodinâmico cardiovascular e em alguns casos, ocasionando em morte. É suspeito que a criança possui algum problema relacionado quando em algumas horas após o nascimento a mesma apresenta baixo débito sistêmico, taquipneia progressiva, palidez cutânea ou redução dos pulsos centrais. Objetivo: O presente estudo tem por finalidade apresentar a assistência de enfermagem prestada em neonatos com cardiopatia cogênita. Método: A coleta de dados foi realizada através de artigos publicados nos últimos 10 anos nas bases de dados: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS); Scientific Electronic Library Online (SciELO) Biblioteca Virtual em Saúde (BVS) e Medical Literature Analysis and Retrievel System Online (MEDLINE). Resultados: A amostra foi composta por 10 artigos e as categorias que permitiram uma melhor apresentação das evidências científicas foram divididas em dois eixos: Gravidade de neonatos portadores de DDC sem assistência devida e Assistência de enfermagem com RN portador de cardiopatia congênita. Conclusão: Conclui-se que através dos estudos que a Assistencia de enfermagem é de extrema importancia para o diagnóstico e o tratamento do neonato de forma eficaz, atuando de forma primordial na patologia e em alguns casos, no diagnóstico precoce.
Design and implementation of coherent multi-h CPM receiver with low-complexity decision-directed synchronization algorithm
Authors: Wang Le 
Published: November 2022

<p> In this paper, an efficient all-digital demodulator for multi-h CPM is proposed based on a low-complexity decision-directed synchronization algorithm. We derive the maximum-likelihood estimation of the carrier phase and timing errors and propose a reduced-complexity timing error discriminator with the linear phase approximation (LPA). Compared to the traditional synchronization method, it reduces about 2/3 of matched filter banks since only on-time matched filter banks are required. To demonstrate the stability of the proposed algorithm, the S-curve is derived theoretically and plotted with numerical simulation. The numerical results show that the LPA-based synchronization algorithm has no loss of bit error rate (BER) performance compared to the commonly used methods. Then, the LPA-based synchronization and the maximum-likelihood sequence detection for the three kinds of promising multi-h CPM demodulation are implemented on a Xilinx Kirtex-7 FPGA platform achieving the global clock rate of 200MHz. The BER of the overall receiver is tested on board, and the results show that its performance has an ignorable loss to the numerical simulation. The implementation overhead on FPGA is reduced by about 30% compared to the conventional method. </p>
Online DVFS using Deep Learning: Sequence to Sequence LSTM Networks with Attention
Authors: Thethi Sukhmani Kaur , Kumar Ravi 
Published: November 2022

<p> Real Time embedded systems are highly complex due to interactions and interdependencies between various hardware/software units and policies of the processors with applications running on it. To deal with fluctuating workloads and subsequent tasks, smart adaptability of supply clock and voltage is required in order to optimize power without compromising on the performance. This is done using Dynamic Voltage and Frequency Scaling (DVFS) technique. An improved version of DVFS is proposed in this paper which treats it as a recurrent problem with an aim to capture the intricate dependencies amongst various factors influencing the operation. The authors have employed application independent- Radial Basis Neural Network to generate series of predicted frequencies for current workload of the processor, followed by seq2seq-LSTM based encoder decoder model using Attention to decide if the frequency generated by the Artificial Neural Network (ANN) model is optimum from power conservation point of view. The proposed model predicts the workload and then compares the predicted frequency to the critical value or deadline of the current task. The experiments were conducted on a single core processor on which a benchmark application was run, and promising prediction accuracy rates were obtained without incurring degradation of critical performance parameters. </p>