bluuebunny/crossref_metadata_2025 huggingface dataset:
Trends in research on the efficacy of herbal medicines for particular matter-induced asthma focused on Pubmed
Authors: Kwon Bo-In
Published: September 2023

Objectives: This study aimed to review the experimental research trends in asthma caused by particulate matter to conduct further researches, especially in clinical trials.Methods: We searched for the meaningful literature using medicinal herb for asthma through the Pubmed databases.Results: Finally, six studies were finally selected. These studies showed recent trends, from 2018 to 2021 and conducted mostly in South Korea. The type of fine dust and the method of inducing asthma are different for each paper, but the effective mechanism is relatively common. It was commonly confirmed that the ratio and number of eosinophils, th2 cells and related cytokines are decreased in BALF and lung tissue by administration of medicinal herb.Conclusions: Although the method of inducing asthma using fine dust has not yet been standardized, it is thought that more meaningful evaluation results can be derived if a standardized animal model is established in the future. Nevertheless, based on the results that herbal medicine is effective for particular matter induced asthma, it is expected that it will be the basis for expanding into future clinical studies.
Analysis of the current status of quantitative literature evidence for the prescription of 56 herbal medicines covered by health insurance
Authors: Kim Chul , Shin Hyeun-kyoo
Published: September 2023

Objectives: The purpose of this study is to analyze the current state of quantitative literature evidence for the prescription of 56 herbal medicines covered by health insurance that have been studied in Korea for the past 30 years, to evaluate the reliability of the evidence, and to find out the research direction of herbal medicine prescription in the future.Methods: 56 kinds of herbal medicine prescriptions were searched in domestic literature search databases OASIS, DBpia, and overseas PubMed, classified into chemistry, toxicity, cells, animals, clinical cases, and clinical trial studies, and built into an EBM pyramid structure.Results: When classified according to research contents, there were 61 cases (7.5%) of physicochemical analysis to identify constituent substances, 80 cases (9.8%) of toxicity evaluation, and 672 cases (82.7%) of efficacy evaluation. The efficacy evidence was classified according to the evidence-based medical pyramid structure: 196 cell trials (29.1%), 372 animal trials (55.4%), 89 case and case reporting series (13.3%), 7 comparative case studies (1.1%), and 8 randomized control clinical trials (1.2%). In the pyramid composition, the basis for the validity of 56 kinds of herbal medicines prescribed was 568 cases (84.5%) in cell and animal units, which could not be said to be highly reliable. There was no relationship between the ranking of quantitative literature evidence for herbal medicine prescriptions and the ranking of salary administration.Conclusions: In an era that continues to require scientific evidence for herbal medicine, traditional herbal medicine should secure the basis for safety validity even for the 10th most frequent prescription among 56 herbal medicine prescriptions for consumers. In particular, traditional herbal medicine should increase the quantitative and qualitative level of case reports on related herbal medicine prescriptions, focusing on each clinical society, and move toward comparative case studies and randomized clinical trial so that traditional herbal medicine is positioned as Evidence-based medicine.
The Zwergroman : Literary Dwarfs under the Australian Gaze
Authors: Cranston CA.
Published: September 2023

Abstract: Ubiquitous, highly visible, nonspecific to geography, history, race, or sex, dwarfism's connection with Australia's mythic and literary histories is remarkable enough to suggest here that it occupy its own subgenre in literature, the zwergroman (m). Australia's branding as the "Antipodes" geographically recalls its colonial past; mythographically the imaginative configuration was as an underworld of opposites ruled by the diminutive King of the Antipodes. Thus, the zwergroman is frequently fashioned from Celtic myths of the colonizing power along with the shaping power of colonial processes. In addition to introducing the conventions of the zwergroman and demonstrating the significance of dwarf characters to Australia's pre- and postcolonial narratives, this article gradually introduces concepts from disability studies (through the scholarly work of Erin Pritchard, David T. Mitchell and Sharon L. Snyder, and others) by examining representations and cultural meanings imposed on dwarf characters prior to the counter histories of twenty-first-century short-statured scholars whose demand for personhood required an engagement with subjective and experiential realities. The novels discussed (1970–94) represent a cluster of dwarf-centric novels by notable writers, all able-bodied at the time of writing (excepting Patrick White). They include C. J. Koch, The Year of Living Dangerously (1978; filmed 1982); James McQueen, Hook's Mountain (1982); Ruth Park, Swords and Crowns and Rings (1977); Peter Carey, The Unusual Life of Tristan Smith (1994); and Patrick White, The Vivisector (1970).
30 Years of Optical Coherence Tomography: introduction to the feature issue
Authors: Leitgeb Rainer A. , Bouma Brett , Grieve Kate , Hendon Christine , Podoleanu Adrian , Wojtkowski Maciej , Yasuno Yoshiaki
Published: September 2023

The guest editors introduce a feature issue commemorating the 30th anniversary of Optical Coherence Tomography.
High-harmonic generation in liquids with few-cycle pulses: effect of laser-pulse duration on the cut-off energy
Authors: Mondal Angana , Waser Benedikt , Balciunas Tadas , Neufeld Ofer , Yin Zhong , Tancogne-Dejean Nicolas , Rubio Angel , Wörner Hans Jakob
Published: September 2023

High-harmonic generation (HHG) in liquids is opening new opportunities for attosecond light sources and attosecond time-resolved studies of dynamics in the liquid phase. In gas-phase HHG, few-cycle pulses are routinely used to create isolated attosecond pulses and to extend the cut-off energy. Here, we study the properties of HHG in liquids, including heavy water, ethanol and isopropanol, by continuously tuning the pulse duration of a mid-infrared driver from the multi- to the two-cycle regime. Similar to the gas phase, we observe the transition from discrete odd-order harmonics to continuous extreme-ultraviolet emission. However, the cut-off energy is shown to be entirely independent of the pulse duration. These observations are confirmed by ab-initio simulations of HHG in large liquid clusters. Our results support the notion that the cut-off energy is a fundamental property of the liquid, independent of the driving-pulse properties. Our work implies that few-cycle mid-infrared laser pulses are suitable drivers for generating isolated attosecond pulses from liquids and confirm the capability of high-harmonic spectroscopy to determine the mean-free paths of slow electrons in liquids.
Imaging elastic waves in solids: how to use laser feedback interferometry to visualize them
Authors: Bertling Karl , Veidt Martin , Perchoux Julien , Rakić Aleksandar D.
Published: September 2023

The use of ultrasonic elastic waves is a well established technique for non-destructive testing of materials and structures, in particular to exploit the interaction of waves with structural features to detect and characterize defects. Optical methods offer the advantage of visualising the distribution of elastic waves in a non-contact manner without disturbing the elastic wave. In this work we propose a laser feedback interferometry (LFI) based system as a cost effective, non-contact, alternative to a well established laser Doppler vibrometer technique. We demonstrate the visualization of the elastic waves, using an example of an elastic wave propagating through a prismatic acrylic rod. We show that the ultra-compact and simple implementation of LFI enables accurate visualization of the elastic waves in solids, and opens the pathway to a range of new opportunities in ultrasonic non-destructive testing and evaluation.
Spatio-temporal characterization of tightly focused femtosecond laser fields formed by paraboloidal mirrors with different F-numbers
Authors: Shi Bingnan , Yu Lianghong , Liang Xiaoyan
Published: September 2023

The focusing spatiotemporal property of a femtosecond laser pulse is presented under tight focusing conditions by using the frequency-resolved incident electric field and vector diffraction formulas with the wavefront correction term. In the ideal case, the focused laser intensity reaches its maximum at the F-number of ∼0.35 due to the strong diffraction effect under extremely tight focusing conditions. In spatio-temporal coupling distortion cases, their spatiotemporal Strehl ratios show a trend of improvement as the F-number decreases and this phenomenon is mainly concentrated along the y-direction. Based on the numerical calculation method used in this work, the precise information of tightly focused ultra-intense femtosecond laser fields can be obtained, which is crucial for assessing a focused intensity and describing the motion of charged particles under an extremely strong electric field. Moreover, the evolution law of focal fields with spatiotemporal distortions found in this paper can offer some theoretical guidance for realizing ultrahigh laser intensity in the near future.
Comparison of multi-mode Hong-Ou-Mandel interference and multi-slit interference
Authors: Guo Yan , Yang Zi-Xiang , Zeng Zi-Qi , Ding Chunling , Shimizu Ryosuke , Jin Rui-Bo
Published: September 2023

Hong-Ou-Mandel (HOM) interference of multi-mode frequency entangled states plays a crucial role in quantum metrology. However, as the number of modes increases, the HOM interference pattern becomes increasingly complex, making it challenging to comprehend intuitively. To overcome this problem, we present the theory and simulation of multi-mode-HOM interference (MM-HOMI) and compare it to multi-slit interference (MSI). We find that these two interferences have a strong mapping relationship and are determined by two factors: the envelope factor and the details factor. The envelope factor is contributed by the single-mode HOM interference (single-slit diffraction) for MM-HOMI (MSI). The details factor is given by sin (Nx)/sin (x) ([sin (Nv)/sin (v)]2) for MM-HOMI (MSI), where N is the mode (slit) number and x (v) is the phase spacing of two adjacent spectral modes (slits). As a potential application, we demonstrate that the square root of the maximal Fisher information in MM-HOMI increases linearly with the number of modes, indicating that MM-HOMI is a powerful tool for enhancing precision in time estimation. We also discuss multi-mode Mach-Zehnder interference, multi-mode NOON-state interference, and the extended Wiener-Khinchin theorem. This work may provide an intuitive understanding of MM-HOMI patterns and promote the application of MM-HOMI in quantum metrology.
Allele surfing causes maladaptation in a Pacific salmon of conservation concern
Authors: Rougemont Quentin , Leroy Thibault , Rondeau Eric B. , Koop Ben , Bernatchez Louis
Published: September 2023

How various factors, including demography, recombination or genome duplication, may impact the efficacy of natural selection and the burden of deleterious mutations, is a central question in evolutionary biology and genetics. In this study, we show that key evolutionary processes, including variations in i) effective population size (Ne) ii) recombination rates and iii) chromosome inheritance, have influenced the genetic load and efficacy of selection in Coho salmon (Oncorhynchus kisutch), a widely distributed salmonid species on the west coast of North America. Using whole genome resequencing data from 14 populations at different migratory distances from their southern glacial refugium, we found evidence supporting gene surfing, wherein reduced Ne at the postglacial recolonization front, leads to a decrease in the efficacy of selection and a surf of deleterious alleles in the northernmost populations. Furthermore, our results indicate that recombination rates play a prime role in shaping the load along the genome. Additionally, we identified variation in polyploidy as a contributing factor to within-genome variation of the load. Overall, our results align remarkably well with expectations under the nearly neutral theory of molecular evolution. We discuss the fundamental and applied implications of these findings for evolutionary and conservation genomics.
Epidemiology and aetiology of moderate to severe diarrhoea in hospitalised patients ≥5 years old living with HIV in South Africa, 2018–2021: A case-control analysis
Authors: Johnstone Siobhan L. , Erasmus Linda , Thomas Juno , Groome Michelle J. , du Plessis Nicolette M. , Avenant Theunis , de Villiers Maryke , Page Nicola A.
Published: September 2023

Diarrhoea is a recognised complication of HIV-infection, yet there are limited local aetiological data in this high-risk group. These data are important for informing public health interventions and updating diagnostic and treatment guidelines. This study aimed to determine the pathogenic causes of diarrhoeal admissions in people living with HIV (PLHIV) compared to hospital controls between July 2018 and November 2021. Admitted diarrhoeal cases (n = 243) and non-diarrhoeal hospital controls (n = 101) ≥5 years of age were enrolled at Kalafong, Mapulaneng and Matikwana hospitals. Stool specimens/rectal swabs were collected and pathogen screening was performed on multiple platforms. Differences in pathogen detections between cases and controls, stratified by HIV status, were investigated. The majority (n = 164, 67.5%) of enrolled diarrhoeal cases with known HIV status were HIV-infected. Pathogens could be detected in 66.3% (n = 228) of specimens, with significantly higher detection in cases compared to controls (72.8% versus 50.5%,p<0.001). Amongst PLHIV, prevalence ofCystoisosporaspp. was significantly higher in cases than controls (17.7% versus 0.0%,p= 0.028), whileSchistosomawas detected more often in controls than cases (17.4% versus 2.4%,p= 0.009). Amongst the HIV-uninfected participants, prevalence ofShigellaspp.,Salmonellaspp. andHelicobacter pyloriwas significantly higher in cases compared to controls (36.7% versus 12.0%,p= 0.002; 11.4% versus 0.0%,p= 0.012; 10.1% versus 0.0%,p= 0.023). Diarrhoeal aetiology differed by HIV status, withShigellaspp. (36.7%) andSalmonellaspp. (11.4%) having the highest prevalence amongst HIV-uninfected cases andShigellaspp. (18.3%),Cystoisospora(17.7%), andCryptosporidiumspp. (15.9%) having the highest prevalence in cases amongst PLHIV. These differences should be considered for the development of diagnostic and treatment guidelines.
Real-time surveillance of international SARS-CoV-2 prevalence using systematic traveller arrival screening: An observational study
Authors: Kucharski Adam J. , Chung Kiyojiken , Aubry Maite , Teiti Iotefa , Teissier Anita , Richard Vaea , Russell Timothy W. , Bos Raphaëlle , Olivier Sophie , Cao-Lormeau Van-Mai
Published: September 2023

Background

Effective Coronavirus Disease 2019 (COVID-19) response relies on good knowledge of population infection dynamics, but owing to under-ascertainment and delays in symptom-based reporting, obtaining reliable infection data has typically required large dedicated local population studies. Although many countries implemented Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing among travellers, it remains unclear how accurately arrival testing data can capture international patterns of infection, because those arrival testing data were rarely reported systematically, and predeparture testing was often in place as well, leading to nonrepresentative infection status among arrivals.

Methods and findings

In French Polynesia, testing data were reported systematically with enforced predeparture testing type and timing, making it possible to adjust for nonrepresentative infection status among arrivals. Combining statistical models of polymerase chain reaction (PCR) positivity with data on international travel protocols, we reconstructed estimates of prevalence at departure using only testing data from arrivals. We then applied this estimation approach to the United States of America and France, using data from over 220,000 tests from travellers arriving into French Polynesia between July 2020 and March 2022. We estimated a peak infection prevalence at departure of 2.1% (95% credible interval: 1.7, 2.6%) in France and 1% (95% CrI: 0.63, 1.4%) in the USA in late 2020/early 2021, with prevalence of 4.6% (95% CrI: 3.9, 5.2%) and 4.3% (95% CrI: 3.6, 5%), respectively, estimated for the Omicron BA.1 waves in early 2022. We found that our infection estimates were a leading indicator of later reported case dynamics, as well as being consistent with subsequent observed changes in seroprevalence over time. We did not have linked data on traveller demography or unbiased domestic infection estimates (e.g., from random community infection surveys) in the USA and France. However, our methodology would allow for the incorporation of prior data from additional sources if available in future.

Conclusions

As well as elucidating previously unmeasured infection dynamics in these countries, our analysis provides a proof-of-concept for scalable and accurate leading indicator of global infections during future pandemics.
Evaluation of models for multi-step forecasting of hand, foot and mouth disease using multi-input multi-output: A case study of Chengdu, China
Authors: Geng Xiaoran , Ma Yue , Cai Wennian , Zha Yuanyi , Zhang Tao , Zhang Huadong , Yang Changhong , Yin Fei , Shui Tiejun
Published: September 2023

Background

Hand, foot and mouth disease (HFMD) is a public health concern that threatens the health of children. Accurately forecasting of HFMD cases multiple days ahead and early detection of peaks in the number of cases followed by timely response are essential for HFMD prevention and control. However, many studies mainly predict future one-day incidence, which reduces the flexibility of prevention and control.

Methods

We collected the daily number of HFMD cases among children aged 0–14 years in Chengdu from 2011 to 2017, as well as meteorological and air pollutant data for the same period. The LSTM, Seq2Seq, Seq2Seq-Luong and Seq2Seq-Shih models were used to perform multi-step prediction of HFMD through multi-input multi-output. We evaluated the models in terms of overall prediction performance, the time delay and intensity of detection peaks.

Results

From 2011 to 2017, HFMD in Chengdu showed seasonal trends that were consistent with temperature, air pressure, rainfall, relative humidity, and PM10. The Seq2Seq-Shih model achieved the best performance, with RMSE, sMAPE and PCC values of 13.943~22.192, 17.880~27.937, and 0.887~0.705 for the 2-day to 15-day predictions, respectively. Meanwhile, the Seq2Seq-Shih model is able to detect peaks in the next 15 days with a smaller time delay.

Conclusions

The deep learning Seq2Seq-Shih model achieves the best performance in overall and peak prediction, and is applicable to HFMD multi-step prediction based on environmental factors.
Temporal changes in pathology and viral RNA distribution in guinea pigs following separate infection with two New World Arenaviruses
Authors: Cline Curtis , Zeng Xiankun , Bell Todd M. , Shaia Carl , Facemire Paul , Williams Janice , Davis Neil , Babka April , Picado Edwin , Fitzpatrick Colin , Golden Joseph W.
Published: September 2023

Numerous arenaviruses have been identified throughout the Americas and a subset of these viruses cause viral hemorrhagic fever in humans. This study compared the pathology and viral RNA distribution in Hartley guinea pigs challenged with two human-disease causing New World arenaviruses, Junin virus (JUNV) or Guanarito virus (GTOV). Histopathologic analysis and RNA in situ hybridization revealed similar pathology and viral RNA distribution for both groups of animals challenged with either JUNV or GTOV on days 3, 7, 10 and 12 post exposure (PE). Gross lesions were first observed on day 7 and primarily involved the lungs and liver. The most severe histologic lesions occurred in the lymph nodes, spleen, and thymus and included lymphoid depletion and necrosis which increased in severity over time. Extensive necrosis was also observed in the bone marrow on day 12. Minimal to mild inflammation with and without necrosis was observed in the choroid plexus of the brain, choroid of the eye, intestinal tract, lung and adrenal gland. Significant liver lesions were rare, consisting predominantly of hepatocyte vacuolation. Viral RNA labeling was identified in nearly all organs examined, was often extensive in certain organs and generally increased over time starting on day 7. Our data demonstrate the guinea pig may serve as a useful model to study New World arenavirus infection in humans and for the evaluation and development of medical countermeasures.
A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm
Authors: Khan Rabia Avais , Rashid Nasir , Shahzaib Muhammad , Malik Umar Farooq , Arif Arshia , Iqbal Javaid , Saleem Mubasher , Khan Umar Shahbaz , Tiwana Mohsin
Published: September 2023

Robotics and artificial intelligence have played a significant role in developing assistive technologies for people with motor disabilities. Brain-Computer Interface (BCI) is a communication system that allows humans to communicate with their environment by detecting and quantifying control signals produced from different modalities and translating them into voluntary commands for actuating an external device. For that purpose, classification the brain signals with a very high accuracy and minimization of the errors is of profound importance to the researchers. So in this study, a novel framework has been proposed to classify the binary-class electroencephalogram (EEG) data. The proposed framework is tested on BCI Competition IV dataset 1 and BCI Competition III dataset 4a. Artifact removal from EEG data is done through preprocessing, followed by feature extraction for recognizing discriminative information in the recorded brain signals. Signal preprocessing involves the application of independent component analysis (ICA) on raw EEG data, accompanied by the employment of common spatial pattern (CSP) and log-variance for extracting useful features. Six different classification algorithms, namely support vector machine, linear discriminant analysis, k-nearest neighbor, naïve Bayes, decision trees, and logistic regression, have been compared to classify the EEG data accurately. The proposed framework achieved the best classification accuracies with logistic regression classifier for both datasets. Average classification accuracy of 90.42% has been attained on BCI Competition IV dataset 1 for seven different subjects, while for BCI Competition III dataset 4a, an average accuracy of 95.42% has been attained on five subjects. This indicates that the model can be used in real time BCI systems and provide extra-ordinary results for 2-class Motor Imagery (MI) signals classification applications and with some modifications this framework can also be made compatible for multi-class classification in the future.
Osseointegrability of 3D-printed porous titanium alloy implant on tibial shaft bone defect in rabbit model
Authors: Phuoc Hung Do , Hoang Phu Nguyen , Yang Sam , Fraser Darren , Nguyen Vu Thua
Published: September 2023

Previous studies have demonstrated the ability of osseointegration of porous titanium implants in cancellous bone. Our study was designed to (i) investigate the ability of bone ingrowth into 3D-printed porous titanium alloy implant on the cortical bone of rabbits using CT-scan and histology, and (ii) to identify the consistency of the radiology information between clinical Cone Beam Computed Tomography (CBCT) and Micro Computed Tomography (μCT) in the evaluation of bone ingrowth. The porous titanium alloy implants were 3D-printed employing the Electron Beam Melting (EBM) technology with an intended pore size of 600 μm and porosity of approximately 50 percent. Each implant was inserted into tibial diaphysis in one rabbit and its pores were classified as contacting bone or non-contacting bone. Depending on the time of explantation, the rabbits were divided into two groups: group 1 consisting of 6 rabbits between 13 and 20 weeks and group 2 consisting of 6 rabbits between 26 and 32 weeks. Tissue ingrowth into the non-bone contacting pores were evaluated by CBCT and histology. μCT was used to further investigate the bone ingrowth into four implants (two from each group were randomly chosen). The CBCT detected the present of tissue with bone-like density in both bone-contacting pores and non-bone-contacting pores of all implants. The μCT analysis also supported this result. All the bone-like tissues were then histologically confirmed to be mature bone. The analysis of CBCT data to assess bone ingrowth in porous implants had the sensitivity, specificity, positive and negative predictive values of 85, 84, 93 and 70 percent, respectively, when considering μCT assessment as the gold standard. Fully porous titanium alloy implant has great potential to reconstruct diaphyseal bone defect due to its good ability of osseointegration. CBCT is a promising method for evaluation of bone ingrowth into porous implants.
Incidence of switching to second-line antiretroviral therapy and its predictors among children on antiretroviral therapy at general hospitals, Northern Ethiopia: A survival analysis
Authors: Sibhat Migbar Mekonnen , Mulugeta Tewodros Nigussie , Aklilu Dawit W/tsadik
Published: September 2023

Background

With expanding access to pediatric antiretroviral therapy, several patients in the developing world were switched to the second-line regimen, and some require third-line medications. A delay in a second-line switch is associated with an increased risk of mortality and other undesired therapeutic outcomes, drives up program costs, and challenges the pediatric antiretroviral therapy service. Nevertheless, there remain limited and often conflicting estimates on second-line antiretroviral therapy use during childhood, especially in resource-limited settings like Ethiopia. Thus, this study intended to determine the incidence and predictors of switching to second-line antiretroviral therapy among children.

Methods

A retrospective cohort study was conducted by reviewing records of 424 randomly selected children on first-line antiretroviral therapy from January 2014 to December 2018 at public hospitals in the Central and Southern Zones of Tigray, Northern Ethiopia. Data were collected using extraction tool; entered into Epi-data; cleaned, and analyzed by STATA version-14. Kaplan-Meier curve, log-rank test, and life table were used for data description and adjusted hazard ratios and p-value for analysis by Cox proportional hazard regression. Variables at a P-value of ≤0.20 in the bi-variable analysis were taken to multivariable analysis. Finally, statistical significance was declared at a P-value of ≤0.05.

Results and conclusion

Analysis was conducted on 424 charts with a total person-time observation of 11686.1 child-months and an incidence switch rate of 5.6 (95%CI: 4.36–7.09) per 1000 child-month-observations. Being orphan [AHR = 2.36; 95%CI: 1.10–5.07], suboptimal adherence [AHR = 2.10; 95% CI: 1.12–3.92], drug toxicity [AHR = 7.05; 95% CI: 3.61–13.75], advanced latest clinical stage [AHR = 2.75; 95%CI: 1.05–7.15], and tuberculosis co-infection at baseline [AHR = 3.08; 95%CI: 1.26–7.51] were significantly associated with switch to second-line antiretroviral therapy regimen. Moreover, a long duration of follow-up [AHR = 0.75; 95% CI: 0.71–0.81] was associated with decreased risk of switching. Hence, it is better to prioritize strengthening the focused evaluation of tuberculosis co-infection and treatment failure with continuous adherence monitoring. Further research is also needed to evaluate the effect of drug resistance.
An improved digestion and analysis procedure for silicon in plant tissue
Authors: Langenfeld Noah James , Bugbee Bruce
Published: September 2023

Silicon (Si) in plant tissues reduces abiotic and biotic stress, but it is incorporated as silica (SiO2), which is difficult to solubilize for analysis. We modified an oven-induced tissue-digestion and analysis method to improve Si solubilization and validated its accuracy by quantifying the mass-balance recovery of Si from the hydroponic solution and plant tissues of cucumber (Cucumis sativus). Leaf, stem, and root tissues were dried, finely-ground, and digested in 12.5 molar sodium hydroxide at 95°C for 4 hours. Solutions were then acidified with 6 molar hydrochloric acid to achieve a pH below 2 for measurement of Si using the molybdate blue colorimetric method. Interference of phosphorus in the analysis was minimized by increasing the addition of oxalic acid from 0.6 to 1.1 molar. We recovered 101% ± 13% of the expected Si, calculated using mass-balance recovery, in leaf, stem, and root tissues across 15 digestions. This Si recovery was fourteen-fold higher than the standard acid-extraction method and similar to a USDA-ARS alkaline-extraction method. Our procedure offers a low-cost, accurate method for extraction and analysis of Si in plant tissues.
A cluster-tree-based trusted routing algorithm using Grasshopper Optimization Algorithm (GOA) in Wireless Sensor Networks (WSNs)
Authors: Hosseinzadeh Mehdi , Ahmed Omed Hassan , Lansky Jan , Mildeova Stanislava , Yousefpoor Mohammad Sadegh , Yousefpoor Efat , Yoo Joon , Tightiz Lilia , Rahmani Amir Masoud
Published: September 2023

In wireless sensor networks (WSNs), existing routing protocols mainly consider energy efficiency or security separately. However, these protocols must be more comprehensive because many applications should guarantee security and energy efficiency, simultaneously. Due to the limited energy of sensor nodes, these protocols should make a trade-off between network lifetime and security. This paper proposes a cluster-tree-based trusted routing method using the grasshopper optimization algorithm (GOA) called CTTRG in WSNs. This routing scheme includes a distributed time-variant trust (TVT) model to analyze the behavior of sensor nodes according to three trust criteria, including the black hole, sink hole, and gray hole probability, the wormhole probability, and the flooding probability. Furthermore, CTTRG suggests a GOA-based trusted routing tree (GTRT) to construct secure and stable communication paths between sensor nodes and base station. To evaluate each GTRT, a multi-objective fitness function is designed based on three parameters, namely the distance between cluster heads and their parent node, the trust level, and the energy of cluster heads. The evaluation results prove that CTTRG has a suitable and successful performance in terms of the detection speed of malicious nodes, packet loss rate, and end-to-end delay.
Modelling sovereign credit ratings and assessing the impartiality: A case study of China
Authors: Su Min
Published: September 2023

The post-COVID-19 era presents a looming threat of global debt, elevating concerns regarding sovereign credit ratings worldwide. This study develops a new index system, divides the rating variables into long- and short-term factors, performs rating fitting and prediction, and investigates the fairness of China and relevant countries. Our findings reveal that sovereign credit ratings have a deterrent effect on the global financial market due to the ceiling effect and quasi-public goods characteristics. A high and stable credit rating demands long-term enhancements in economic fundamentals, budget balances, external surpluses, and overall solvency. Concurrently, effective short-term debt management strategies, including reduction, repayment, and swaps, are essential. Moreover, we introduce the concept of a "rating gap" to assess rating fairness, revealing both undervaluation and overvaluation among countries. Notably, China’s sovereign rating was underestimated between 2009 and 2011 and overestimated between 2013 and 2016. These findings underscore the criticality of government vigilance in monitoring sovereign debt and credit ratings to navigate potential post-COVID-19 sovereign debt crises.
Factors associated with higher hemoglobin A1c and type 2 diabetes-related costs: Secondary data analysis of adults 18 to 64 in Texas with commercial insurance
Authors: Ory Marcia G. , Han Gang , Jani Sagar N. , Zhong Lixian , Andreyeva Elena , Carpenter Keri , Towne Samuel D. , Preston Veronica Averhart , Smith Matthew Lee
Published: September 2023

Objective

This study will identify factors associated with higher hemoglobin A1c (A1c) values and diabetes-related costs among commercially insured adults in Texas diagnosed with type 2 diabetes.

Research design and methods

This secondary data analysis was based on claims data from commercially insured individuals 18–64 years of age residing in Texas with diagnosed type 2 diabetes during the 2018–2019 study period. The final analysis sample after all the exclusions consisted of 34,992 individuals. Measures included hemoglobin A1c, diabetes-related costs, Charlson Comorbidity Index, diabetes-related complications, rurality and other socioeconomic characteristics. Longitudinal A1c measurements were modeled using age, sex, rurality, comorbidity, and diabetes-related complications in generalized linear longitudinal regression models adjusting the observation time, which was one of the 8 quarters in 2018 and 2019. The diabetes-related costs were similarly modeled in both univariable and multivariable generalized linear longitudinal regression models adjusting the observation time by calendar quarters and covariates.

Results

The median A1c value was 7, and the median quarterly diabetes-related cost was $120. A positive statistically significant relationship (p = < .0001) was found between A1c levels and diabetes-related costs, although this trend slowed down as A1c levels exceeded 8.0%. Higher A1c values were associated with being male, having diabetes-related complications, and living in rural areas. Higher costs were associated with higher A1c values, older age, and higher Charlson Comorbidity Index scores.

Conclusion

The study adds updated analyses of the interrelationships among demographic and geographic factors, clinical indicators, and health-related costs, reinforcing the role of higher A1c values and complications as diabetes-related cost drivers.
Leveraging family-based assets for Black men who have sex with men in House Ball Communities: Protocol for a cluster randomized controlled trial
Authors: Birnbaum Jeffrey , Roberson Michael , Bailey Marlon M. , Smith Martez D. R. , Turner DeAnne , Qian Han-Zhu , Jeon Sangchoon , Hirshfield Sabina , Nelson LaRon E.
Published: September 2023

Black men who have sex with men (MSM) continue to have the highest incidence of new human immunodeficiency virus (HIV) diagnoses in the United States but are least likely to be engaged in care or to be virally suppressed. Many Black MSM face multiple stigmas, but some have found refuge in the House Ball Community (HBC)—a national network of Black lesbian, gay, bisexual, and transgender kinship commitments that provide care-giving, affirmation, and survival skills-building for its members. We propose to modify a skills-building and HIV prevention best-evidence, group-level intervention for HIV- negative Black MSM (Many Men Many Voices) into a family-based intervention to focus on asset-building for both HIV-negative and HIV-positive Black MSM within HBC families. The adapted intervention will be re-branded as Our Family Our Voices (OFOV). We proposed a mixed-methods study to test the feasibility and preliminary efficacy of OFOV adapted for HIV status-neutral use with HBC families. First, we will develop the intervention protocol using the ADAPT-ITT model for modifying behavioral interventions. Then, we will conduct a cluster randomized controlled trial with six HBC families in New York City. Families will be randomized to the OFOV intervention or waitlist control arm. Primary outcomes will be HIV testing, HIV pre-exposure prophylaxis use, currently in HIV care and on HIV treatment. Secondary outcomes will be the number of family-based assets, resilience, number of sexual partners, and relative frequency of condomless anal intercourse. The results of the formative research, including the pilot trial, will contribute to the evidence-base regarding the development of HIV status-neutral interventions that respond to the diversity and complexities of HBC families and that recognize the importance of asset-building for facilitating HBC resilience to stigma as a part of the United States’ domestic policy objective of ending the HIV epidemic by 2030.
A randomized, parallel group, pragmatic comparative-effectiveness trial comparing medication-assisted treatment induction methods in primary care practices: The HOMER study protocol
Authors: Fernald Douglas H. , Nease Donald E. , Westfall John M. , Kwan Bethany M. , Dickinson L. Miriam , Sofie Ben , Lutgen Cory , Carroll Jennifer K. , Wolff David , Heeren Lori , Felzien Maret , Zittleman Linda
Published: September 2023

Opioid use disorder (OUD) represents a public health crisis in the United States. Medication for opioid use disorder (MOUD) with buprenorphine in primary care is a proven OUD treatment strategy. MOUD induction is when patients begin withdrawal and receive the first doses of buprenorphine. Differences between induction methods might influence short-term stabilization, long-term maintenance, and quality of life. This paper describes the protocol for a study designed to: (1) compare short-term stabilization and long-term maintenance treatment engagement in MOUD in patients receiving office, home, or telehealth induction and (2) identify clinically-relevant practice and patient characteristics associated with successful long-term treatment. The study design is a randomized, parallel group, pragmatic comparative effectiveness trial of three care models of MOUD induction in 100 primary care practices in the United States. Eligible patients are at least 16 years old, have been identified by their clinician as having opioid dependence and would benefit from MOUD. Patients will be randomized to one of three induction comparators: office, home, or telehealth induction. Primary outcomes are buprenorphine medication-taking and illicit opioid use at 30, 90, and 270 days post-induction. Secondary outcomes include quality of life and potential mediators of treatment maintenance (intentions, planning, automaticity). Potential moderators include social determinants of health, substance use history and appeal, and executive function. An intent to treat analysis will assess effects of the interventions on long-term treatment, using general/generalized linear mixed models, adjusted for covariates, for the outcomes analysis. Analysis includes practice- and patient-level random effects for hierarchical/longitudinal data. No large-scale, randomized comparative effectiveness research has compared home induction to office or telehealth MOUD induction on long-term outcomes for patients with OUD seen in primary care settings. The results of this study will offer primary care providers evidence and guidance in selecting the most beneficial induction method(s) for specific patients.
Control in the absence of choice: A qualitative study on decision-making about gastrostomy in people with amyotrophic lateral sclerosis, caregivers, and healthcare professionals
Authors: van Eenennaam Remko M. , Rave Neele , Kruithof Willeke J. , Kruitwagen-van Reenen Esther T. , van den Berg Leonard H. , Visser-Meily Johanna A. , Beelen Anita
Published: September 2023

Background

Gastrostomy is recommended in amyotrophic lateral sclerosis for long-term nutritional support, however, people with amyotrophic lateral sclerosis and healthcare professionals perceive decision-making as complex.

Method

To explore their perspectives on decision-making regarding gastrostomy, we used semi-structured interviews with people with amyotrophic lateral sclerosis, who had made a decision, and their caregivers; healthcare professionals were interviewed separately. Interviews were transcribed and analyzed thematically.

Results

In 14 cases, 13 people with amyotrophic lateral sclerosis and 12 caregivers were interviewed; and in 10 of these cases, 5 healthcare professionals. Participants described decision-making on gastrostomy as a continuous process of weighing (future) clinical need against their values and beliefs in coming to a decision to accept or reject gastrostomy, or to postpone decision-making, while being supported by loved ones and healthcare professionals. Participants described gastrostomy as inevitable, but retained agency through control over the timing of decision-making. They said physical necessity, experiences of loss and identity, and expectations about gastrostomy placement were important factors in decision-making. Decision-making was described as a family affair, with caregivers supporting patient choice. healthcare professionals supported people with amyotrophic lateral sclerosis during the decision-making process and respected their autonomy and values. People with amyotrophic lateral sclerosis stressed the importance of adequate information on the procedure and the benefits.

Conclusion

People with amyotrophic lateral sclerosis feel in control of decision-making on gastrostomy if they are able to make their own choice at their own pace, supported by loved ones and healthcare professionals. Person-centered decision-making on gastrostomy requires early information exchange and repeated discussions with people with amyotrophic lateral sclerosis and their caregivers, incorporating their values and respecting patient choice.
Identification of wheelchair seating criteria in adults with neuromuscular diseases: A Delphi study
Authors: Dupitier Elise , Voisin Manon , Stalens Caroline , Laforêt Pascal , Pouplin Samuel
Published: September 2023

Background

Adults with neuromuscular diseases like spinal muscular atrophy or Duchenne muscular dystrophy require full-time use of a wheelchair (WC) and perform all activities of daily living in a sitting position. Optimal configuration of the WC and seating system is essential to maintain the health and quality of life of users. However, few recommendations for configuration exist. The aim of this study was to identify and select 10 WC seating criteria that ensure an optimal sitting posture for health and quality of life.

Methods

A four round Delphi method was used to collect the opinions of WC users and health professionals (HP), separately. First, the HP were asked if they believed that different criteria would apply to each disease. Then the HP and SMA II and DMD WC user experts responded to electronic surveys in 4 rounds.

Results

Overall, 74 experts took part: 31 HP, 21 WC users with SMA II and 22 WC users with DMD. In total, 52% of HP believed that different criteria would apply to each disease. Ten criteria were identified by the HP for SMA II and 10 for DMD. Of the 40 criteria selected, 30 (75%) were common to each panel. Six topics were similar across panels: comfort, access to the joystick, prevention of pain, stability, pressure management and power seat functions. However, power seat functions did not reach consensus between HP and WC users (30–33% of agreement for HP and 93–100% for the WC user panels, p < 0.001).

Conclusion

Adults with SMA II and DMD had similar WC seating needs. Therefore, the same recommendations can be applied to these groups. Further research is necessary to understand the impact of cost on the prescription of power seat functions by health professionals.
Inhibition of β-lactamase function by de novo designed peptide
Authors: Mishra Arunima , Cosic Irena , Loncarevic Ivan , Cosic Drasko , Fletcher Hansel M.
Published: September 2023

Antimicrobial resistance is a great public health concern that is now described as a “silent pandemic”. The global burden of antimicrobial resistance requires new antibacterial treatments, especially for the most challenging multidrug-resistant bacteria. There are various mechanisms by which bacteria develop antimicrobial resistance including expression of β-lactamase enzymes, overexpression of efflux pumps, reduced cell permeability through downregulation of porins required for β-lactam entry, or modifications in penicillin-binding proteins. Inactivation of the β-lactam antibiotics by β-lactamase enzymes is the most common mechanism of bacterial resistance to these agents. Although several effective small-molecule inhibitors of β-lactamases such as clavulanic acid and avibactam are clinically available, they act only on selected class A, C, and some class D enzymes. Currently, none of the clinically approved inhibitors can effectively inhibit Class B metallo-β-lactamases. Additionally, there is increased resistance to these inhibitors reported in several bacteria. The objective of this study is to use the Resonant Recognition Model (RRM), as a novel strategy to inhibit/modulate specific antimicrobial resistance targets. The RRM is a bio-physical approach that analyzes the distribution of energies of free electrons and posits that there is a significant correlation between the spectra of this energy distribution and related protein biological activity. In this study, we have used the RRM concept to evaluate the structure-function properties of a group of 22 β-lactamase proteins and designed 30-mer peptides with the desired RRM spectral periodicities (frequencies) to function as β-lactamase inhibitors. In contrast to the controls, our results indicate 100% inhibition of the class A β-lactamases from Escherichia coli and Enterobacter cloacae. Taken together, the RRM model can likely be utilized as a promising approach to design β-lactamase inhibitors for any specific class. This may open a new direction to combat antimicrobial resistance.
A computer vision based optical method for measuring fluid level in cell culture plates
Authors: Baudin Pierre V. , Teodorescu Mircea
Published: September 2023

For a transparent well with a known volume capacity, changes in fluid level result in predictable changes in magnification of an overhead light source. For a given well size and fluid, the relationship between volume and magnification can be calculated if the fluid’s index of refraction is known or in a naive fashion with a calibration procedure. Light source magnification can be measured through a camera and processed using computer vision contour analysis with OpenCV. This principle was applied in the design of a 3D printable sensing device using a raspberry pi zero and a camera.