bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing the d/p‐Band Center Proximity with Amorphous‐Crystalline Interface Coupling for Boosted pH‐Robust Water Electrolysis
Authors: Liu Yaoda , Sakthivel Thangavel , Hu Feng , Tian Yahui , Wu Dongshuang , Ang Edison Huixiang , Liu Hang , Guo Shengwu , Peng Shengjie , Dai Zhengfei
Published: January 2023

Rationalizing non‐precious pH‐robust electrocatalysts is a crucial priority and required for multi‐scenario hydrogen production customization. Herein, an amorphous–crystalline CoBOx/NiSe heterostructure is theoretically profiled and constructed for efficient and pH‐robust water electrolysis. The crystalline lattice confinement induces a CoCo bond shortening and a B‐site delocalization on amorphous CoBOx, resulting in a decreased d‐p band center difference (Δεd‐p) toward the balanced intermediates adsorption/desorption. Accordingly, the CoBOx/NiSe heterostructure exhibits efficient and robust hydrogen/oxygen evolution reaction (HER/OER) catalytic activity in different electrolytes. Of particular note, it achieves ultralow overpotentials in both the beyond‐Pt HER (14.5 mV) and OER (229.1 mV) at 10 mA cm−2under an alkaline electrolyte, and reaches an industrial‐level OER current density of 2 A cm−2. Water electrolysis is stably delivered with a low η10voltage of 1.48 V. The incorporation of such d‐p orbitals at the amorphous–crystalline interface puts forward new opportunities in rationally designing advanced non‐precious electrocatalysts for water electrolysis.
On the adequacy of fruit removal as a proxy for fitness in studies of bird‐mediated phenotypic selection
Authors: Palacio Facundo X. , Cataudela Juan Francisco , Montalti Diego , Ordano Mariano
Published: January 2023

Premise

In fleshy‐fruited plants, fruit removal is widely used as a proxy for plant reproductive success. Nevertheless, this proxy may not accurately reflect the number of seeds dispersed, an assumed better proxy for total fitness (fruit removal × mean number of seeds dispersed per fruit).

Methods

We examined under what circumstances fruit removal can be reliable as a proxy for total fitness when assessing bird‐mediated selection on fruit traits. In three populations of the Blue Passionflower (Passiflora caerulea), we used the number of fruits pecked per plant as a surrogate for fruit removal to estimate phenotypic selection on fruit and seed traits, and simulations of the effect of the fruit‐seed number trade‐off on the number of fruits removed.

Results

Fruit removal was a good indicator of fitness, accounting for 55 to 68% of the variability in total fitness, measured as total number of seeds removed. Moreover, multivariate selection analyses on fruit crop size, mean fruit diameter and mean seed number using fruit removal as a fitness proxy yielded similar selection regimes to those using total fitness. Simulations showed that producing more fruits, a lower number of seeds per fruit, and a higher variability in seed number can result in a negative relationship between fruit removal and total fitness.

Conclusions

Our results suggest that fruit removal can be reliably used as a proxy for total fitness when (1) there is a weak fruit number‐seed number trade‐off, (2) fruit crop size and fruit removal correlate positively, and (3) seed number variability does not largely exceed fruit number variability.
Evolution of Magnetic Resonance Imaging Lesions at the Sacroiliac Joints During and After Pregnancy by Serial Magnetic Resonance Imaging From Gestational Week Twenty to Twelve Months Postpartum
Authors: Kiil Rosa Marie , Weber Ulrich , Loft Anne Gitte , Maimburg Rikke Damkjær , Jurik Anne Grethe
Published: January 2023

Objective

Sacroiliac (SI) joint magnetic resonance imaging (MRI) findings simulating sacroiliitis related to axial spondyloarthritis (SpA) may occur in women before and after birth. This study was undertaken to explore the prevalence, evolution, and topography of SI joint MRI lesions in pregnant and postpartum women.

Methods

A prospective cohort study included 103 first‐time mothers who underwent up to 5 serial SI joint MRI between gestational week 20 and 12 months postpartum. After calibration, 3 assessors independently evaluated bone marrow edema (BME), including sacroiliitis according to the Assessment of SpondyloArthritis international Society (ASAS), as well as structural lesions, using the Spondyloarthritis Research Consortium of Canada (SPARCC) and a novel 2‐plane assessment method.

Results

BME was frequent both during pregnancy and the postpartum period, peaking at 3 months postpartum with a prevalence of 69% (SPARCC) and 80% (2‐plane method), but still present in 54% (SPARCC) and 58% (2‐plane method) of subjects at 12 months postpartum. At 12 months postpartum, sacroiliitis according to the current ASAS definition was met in 41%, while 21% and 14% of women fulfilled the newly proposed ASAS MRI thresholds for active and structural SI joint lesions, respectively. BME clustered in the anterior middle joint portions at all time points, and ligamentous BME was rare. At 12 months postpartum, SPARCC erosion scores ≥3 (ASAS threshold) were observed in only 2.8% of women.

Conclusion

At 12 months postpartum, 41% of women met the current ASAS sacroiliitis definition, which may result in false‐positive assignments of axial SpA diagnosis in postpartum women with back pain. The topographical BME distribution and virtually absent erosions (ASAS threshold) at 12 months postpartum may help discriminate postpartum strain‐related conditions from axial SpA–related sacroiliitis.
Tuberculous tenosynovitis of the hand: A challenging diagnosis
Authors: Kefi Asma , Ben Abdelghani Khaoula , Ben Jemaa Ilef , Elleuch Mounira , Sassi Cyrine , Jrad Myriam , Turki Sami , Abderrahim Ezzeddine
Published: January 2023

Tuberculous tenosynovitis of the hand is a very rare condition. Herein, we report the case of tuberculous tenosynovitis of the hand in a 32‐year‐old woman. We highlight the success of anti tuberculosis drugs alone without resort to surgical treatment.
Ru/ReOx/TiO2 Selective and Reusable Catalyst for C−O Hydrogenolysis of C4 Polyols
Authors: Virgilio Emanuel M. , Padró Cristina L. , Sad María E.
Published: January 2023

This study reports the selective obtaining of butanediols, mainly 23BDO and 12BDO isomers, by C−O hydrogenolysis of erythritol on Ru (2 %wt.) supported on titania at 473 K and 25 bar H2 and their modification with Re species that improve the selectivity to C−O hydrogenolysis over other reactions (C−C hydrogenolysis, dehydration, etc). The dependence of the catalytic activity with reaction temperature and reactants concentrations is also discussed. Characterization by XPS, TEM and TPR indicates that the surface of rhenium modified Ru is formed by small particles (<3 nm) of Ru0 in contact with Re+IV (Re/Ru molar ratio ≈1). Over this catalyst (Ru/ReOx/TiO2) close or even higher BDO yields than previous values reported on other noble metals were obtained, making it very attractive since Ru is more economical than Pt, Ir or Rh metal. Furthermore, we demonstrate that Ru/ReOx/TiO2 was also stable and allowed to be reused in at least three consecutive reactions.
Hydrogen Production from Formic Acid by In Situ Generated Ni/CdS Photocatalytic System under Visible Light Irradiation
Authors: Feng Kai‐Wen , Li Yang
Published: January 2023

Simple and practical noble‐metal‐free catalyzed hydrogen production from sustainable resources, such as renewable formic acid, is highly desirable. Herein, the development of an efficient photocatalytic hydrogen production from aqueous solution of formic acid using in situ generated Ni/CdS photocatalytic system was described. CdS−Cys (Cys=l‐cysteine) quantum dots (QDs) acting as photocatalyst with Ni(OAc)2 as H2 production catalyst precursor, a 94 % yield was obtained within 5 h under visible light irradiation at 50 °C. The average rate of H2 production reached up to 282 μmol mg−1 h−1 with 99.8 % H2 selectivity. Mechanistic studies indicate cooperation of dynamic quenching and static quenching of CdS−Cys QDs by Ni(OAc)2. Especially, Ni0, generated in the dynamic quenching, accelerated the electron transfer by acting as an electron outlet and enhancing the stability of CdS to slow down the photocorrosion distinctly, delivering efficient H2 production with high selectivity. Our study will inspire exploration of various efficient non‐noble‐metal catalysts for practical H2 production from bio‐based formic acid.
A novel constraint‐based improved equilibrium optimization for global peak tracking of photovoltaic system under complex shading conditions
Authors: KT Swetha , Venugopal Reddy Barry
Published: January 2023

The P–V characteristics of photovoltaic (PV) array exhibit multiple peaks during partial shading conditions (PSCs). Traditional maximum power point tracking (MPPT) approaches are unable to locate the global power point and frequently converge to the local power point. In recent years, evolutionary techniques have given a satisfactory result by tracking global maximum power point (GMPP) but at the cost of ample memory storage and computational burden. Therefore, this paper proposes an improved equilibrium optimization (IEO) technique to track maximum power from the solar photovoltaic system under PSC. The reduced search space exploration by using the skipping method is implemented to improve the convergence speed. The proposed IEO algorithm is capable of differentiating between uniform shading, different PSCs, and solar intensity variation with fast tracking speed. Similarly, the proposed algorithm has been compared with deterministic Jaya (DM‐Jaya), crow search algorithm (CSA), and equilibrium optimization (EO) algorithms. The effectiveness of the proposed IEO technique‐based MPPT has been validated through simulations and experiments. The results demonstrate the capability of IEO in tracking GMPP with an average efficiency of 99.72% and average tracking time of 0.708 s. Further, the proposed algorithm has been implemented for grid integration under PSC. The results reveal that the proposed method has high PV tracking efficiency, negligible steady‐state error, a low MPPT period, and a quick convergence velocity.
An optimal power management circuit with a dynamic subthreshold start‐up for thermal energy harvesting
Authors: Sern Mi Lim Michelle , Heng Yeo Kim , Hamid Md. Ali Sawal
Published: January 2023

This work's power management circuit (PMC) employs optimum power point (OPP) instead of conventional maximum power point (MPP) extraction from the thermoelectric generator (TEG) for efficient source to load energy transfer. Based on postlayout verification of the TSMC 180‐nm deep submicron model, this PMC generates above 100 
W of power with a regulated output of 2.5 V within 40 ms from 285‐mV cold‐start. The main contribution here is the constant time OPP extraction technique at 125.33 
s. Also, the PMC is almost fully on‐chip with layout area of 3.8 mm by 3.25 mm for RTEG between 0.29 
and 4.17 
. OPP can be achieved by matching these RTEG values to the corresponding off‐chip inductor, L. Using an overall figure‐of‐merit (FOM) to evaluate different design goals results in overall OPP‐based PMC having at least 2.85 times superior FOM compared to prior arts with MPP‐based schemes. This overall improvement in speed, power, and pumping efficiency facilitates battery‐less solutions in TEG‐based wearable sensor applications.
Relationships between weight bias internalization and biopsychosocial health outcomes: A prospective study in Chinese adolescents
Authors: Barnhart Wesley R. , Cui Shuqi , Cui Tianxiang , He Jinbo
Published: January 2023

Objective

An extensive literature has documented the deleterious effects of weight bias internalization (WBI) on biopsychosocial health outcomes. Still, this research is largely confined to the Western context. Furthermore, few studies have explored associations between WBI and biopsychosocial health outcomes, including in non‐Western adolescent populations.

Method

The present study explored the longitudinal relationships between WBI and body dissatisfaction, disordered eating, psychosocial impairment related to eating disorder features, and psychological and physical well‐being in a sample (N = 1549; aged 11–18 years at baseline) of Chinese adolescents. Relationships between study variables were examined between two waves of data measurement (Time 1, baseline, and Time 2, 6‐month). Cross‐lagged and multivariate models were used to explore prospective relationships between WBI and biopsychosocial correlates.

Results

Bidirectional relationships were observed between WBI and biopsychosocial correlates in Chinese adolescents. Adjusting for covariates and other predictor variables, higher body dissatisfaction, disordered eating, psychosocial impairment, and psychological distress at Time 1 predicted higher WBI at Time 2. Furthermore, higher WBI at Time 1 predicted higher body dissatisfaction, disordered eating, psychosocial impairment, and psychological distress at Time 2.

Discussion

Weight bias internalization and psychosocial correlates were interrelated across time in Chinese adolescents. Improving WBI might be promising in the prevention of eating and body image disturbances and diminished psychosocial well‐being. Similarly, reducing eating and body image disturbances and improving psychosocial well‐being might be useful prevention targets in reducing WBI in Chinese adolescents.

Public Significance

The present study represents an initial effort to explore bidirectional relationships between WBI and biopsychosocial health outcomes in Chinese adolescents. Findings suggest bidirectional relationships between WBI and psychosocial variables, highlighting the potential utility of incorporating WBI interventions into eating pathology and poor psychosocial well‐being prevention designs for Chinese adolescents.
Bioaccumulation and Biotransformation of BDE-47 Using Zebrafish Eleutheroembryos (Danio rerio)
Authors: De Oro-Carretero Paloma , Sanz-Landaluze Jon
Published: January 2023

Polybrominated diphenyl ethers (PBDEs) are well-known endocrine disrupting chemicals identified as organic persistent pollutants. Their metabolites OH-BDE and MeO-BDE have been reported to be potentially more toxic than the postulated precursor PBDEs. One of the most predominant congeners of PBDEs in the environment is BDE-47, due to its high presence in industrially used mixtures. In the present study, the bioaccumulation and biotransformation of BDE-47 into its major metabolites is evaluated using zebrafish (Danio rerio) eleutheroembryos adapting a previously developed alternative method to bioconcentration official guideline Organisation for Economic Co-ordination and Development 305, which reduces the animal suffering, time, and cost. For the simultaneous determination of BDE-47 and its metabolites in larvae and exposure medium, and considering the polarity difference of the analytes and the small sample size, the development of a validated analytical method is a step to ensure quality results. In the present study, an ultrasound-assisted extraction followed by a solid phase extraction dispersive clean-up step and gas chromatography-mass spectrometry-microelectron capture detector (GC-MS-μECD) with a previous derivatization process was optimized and validated. Bioconcentration factors (BCFs) were calculated using a first-order one-compartment toxicokinetic model. The profiles found show rapid absorption in the first hours of larval development and great bioaccumulative capacity, finding BCFs of 7294 ± 899 and 36 363 ± 5702 at nominal concentrations of 10 and 1 μg L−1, respectively. Metabolization studies show increasing concentrations of the metabolites BDE-28, 2ʹ-OH-BDE-28, and 5-MeO-BDE-47 throughout the exposure time. The results obtained show the feasibility of the method for bioaccumulation and open up the possibility of metabolic studies with zebrafish eleutheroembryos, which is a very underdeveloped field without official testing or regulation. Environ Toxicol Chem 2023;42:835–845. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Detection of Diclofenac-Induced Alterations in Rainbow Trout (Oncorhynchus mykiss) Using Quantitative Stereological Methods
Authors: Birzle Christoph , Schrader Hannah , Blutke Andreas , Ferling Hermann , Scholz-Göppel Karin , Wanke Rüdiger , Schwaiger Julia
Published: January 2023

In 2013, the nonsteroidal anti-inflammatory drug diclofenac (DCF) was included in the watch list for emerging pollutants under the European Union Water Framework Directive. Frequently, monitoring data revealed DCF concentrations in surface waters exceeding the proposed environmental quality standards of 0.04 µg L−1 and 0.126 µg L−1. In recent literature, the possible effects of DCF on fish are discussed controversially. To contribute to a realistic risk assessment of DCF, a 28-day exposure experiment was carried on rainbow trout (Oncorhynchus mykiss). To warrant reliability of data, experiments were conducted considering the Criteria for Reporting and Evaluating Ecotoxicity Data. The test concentrations of DCF used (0.1, 0.5, 1, 5, 25, and 100 µg L−1) also included environmentally relevant concentrations. The lowest-observed-effect concentration (LOEC) for a significant decrease in the plasma concentrations of the DCF biomarker prostaglandin E2 was 0.5 µg L−1 (male fish). For objective evaluation of relevant histomorphological parameters of gills and trunk kidneys, unbiased quantitative stereological methods were applied. In the gills, significant increases in the thickness of the secondary lamella and in the true harmonic mean of barrier thickness in secondary lamellae were present at DCF concentrations of 25 µg L−1 and 100 µg L−1. In the trunk kidneys, the absolute and relative volumes of nephrons were significantly decreased, paralleled by a significant increase of the volume of the interstitial renal tissue. With regard to quantitative histomorphological alterations in the trunk kidney, the observed LOEC was 0.5 µg L−1. The quantitative histomorphological analyses that were conducted allow identification and objective quantification of even subtle but significant morphological effects and thus provide an important contribution for the comparability of study results for the determination of no-observed-effect concentrations (NOEC). Environ Toxicol Chem 2023;42:859–872. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Sustainable Reuse and Recycling of Spent Li‐Ion batteries from Electric Vehicles: Chemical, Environmental, and Economical Perspectives
Authors: Hantanasirisakul Kanit , Sawangphruk Montree
Published: January 2023

The rapidly increasing adoption of electric vehicles (EVs) worldwide is causing high demand for production of lithium‐ion batteries (LIBs). Tremendous efforts have been made to develop different components of LIBs in addition to design of battery pack architectures as well as manufacturing processes to make better batteries with affordable prices. Nonetheless, sustainable use of LIBs relies on the availability and cost of rare metals, which are naturally concentrated in a few countries. In addition, toxic electrolytes used in LIBs pose concerns on environmental impacts if LIBs are not handled properly after decommissioned from EVs. Therefore, it is paramount to realize effective utilization of spent LIBs, where their remaining capacities can be reused in less demanding applications. Finally, electrode materials and other valuable components of LIBs can be recovered via recycling, completing their circular life cycle. In this review, available options of LIBs after their retirement from EV applications, including battery second use, repair of electrode materials by direct regeneration, and material recovery by hydrometallurgical or pyrometallurgical processes are discussed. Throughout the review, the discussion is based around current available technologies, their environmental impacts, and economic feasibility as well as provided examples of pilot and industrial scale adoption of the processes.
Use of pesticides and risk perception of environmental contamination by farmers surrounding the Menoua River (West Cameroon)
Authors: Tache Jose Innoncent Tamdjo , Fai Patricia Bi Asanga , Tamungang Simon Awafor , Riegert Jan
Published: January 2023

Cameroonian farmers regularly use pesticides in farming to control pests, particularly along the riverbank of the Santchou agricultural area. The aim of this study was to assess the perception of farmers in West Cameroon (Santchou area) regarding the contamination risk in aquatic environments from the use of pesticides. A cross-sectional study via questionnaires was conducted among 150 selected farmers who cultivated fields along the banks of the Menoua River. Almost all the farmers (90%) used pesticides regularly, particularly herbicides, insecticides, and fungicides to combat pests. The main pesticides used were glyphosate, paraquat, dieldrin, chlorpyrifos-ethyl, copper oxide, and mancozeb. Farmers who cultivated larger areas of land or who had mixed culture crops tended to use pesticides more often (p < 0.001). The use of river water by farmers was correlated with pesticide use (p = 0.010). Most of the pesticide users (90%) did not use protective equipment when spraying the crops. The farmers' perceptions of the risk of pesticide contamination of the river water (p = 0.002) or fish (p = 0.008) did not influence their actions. A correlation was found among pesticide users who believed that there was a risk of river contamination (45%) or fish contamination (42%) and intensive pesticide application during the rainy season (61%) or non-respect of the prescribed pesticide application doses (51%; p = 0.002). Farmers who regularly or occasionally consumed fish used pesticides more often than those who did not consume fish from the river. The findings of this study emphasize the need for education of farmers in Santchou to prevent the risk of environmental contamination and health hazards from increased dietary and/or dermal pesticide exposure. Integr Environ Assess Manag 2023;19:1600–1608. © 2023 SETAC
NE‐RDFE: A protocol and toolkit for computing relative dissociation free energies with GROMACS between dissimilar molecules using bidirectional nonequilibrium dual topology schemes
Authors: Macchiagodena Marina , Pagliai Marco , Procacci Piero
Published: January 2023

We describe a step‐by‐step protocol and toolkit for the computation of the relative dissociation free energy (RDFE) with the GROMACS molecular dynamics package, based on a novel bidirectional nonequilibrium alchemical approach. The proposed methodology does not require any intervention on the code and allows computing with good accuracy the RDFE between small molecules with arbitrary differences in volume, charge, and chemical topology. The procedure is illustrated for the challenging SAMPL9 batch of host–guest pairs. The article is supplemented by a detailed online tutorial, available at https://procacci.github.io/vdssb_gromacs/NE-RDFE and by a public Zenodo repository available at https://zenodo.org/record/6982932.
Why we need families in genomic research on developmental psychopathology
Authors: Cheesman Rosa , Ayorech Ziada , Eilertsen Espen M. , Ystrom Eivind
Published: January 2023

Background

Fundamental questions about the roles of genes, environments, and their interplay in developmental psychopathology have traditionally been the domain of twin and family studies. More recently, the rapidly growing availability of large genomic datasets, composed of unrelated individuals, has generated novel insights. However, there are major stumbling blocks. Only a small fraction of the total genetic influence on childhood psychopathology estimated from family data is captured with measured DNA. Moreover, genetic influence identified using DNA is often confounded with indirect genetic effects of relatives, population stratification and assortative mating.

Methods

The goal of this paper is to review how combining DNA‐based genomic research with family‐based quantitative genetics helps to address key issues in genomics and push knowledge further.

Results

We focus on three approaches to obtaining more accurate and novel genomic findings on the developmental aetiology of psychopathology: (a) using knowledge from twin and family studies, (b) triangulating with twin and family studies, and (c) integrating data and methods with twin and family studies.

Conclusion

We support the movement towards family‐based genomic research, and show that developmental psychologists are particularly well‐placed to contribute hypotheses, analysis tools, and data.
A hybrid intelligent model for early validation of infectious diseases: An explorative study of machine learning approaches
Authors: Bahaj Saeed Ali
Published: January 2023

Literature reports several infectious diseases news validation approaches, but none is economically effective for collecting and classifying information on different infectious diseases. This work presents a hybrid machine‐learning model that could predict the validity of the infectious disease's news spread on the media. The proposed hybrid machine learning (ML) model uses the Dynamic Classifier Selection (DCS) process to validate news. Several machine learning models, such as K‐Neighbors‐Neighbor (KNN), AdaBoost (AB), Decision Tree (DT), Random Forest (RF), SVC, Gaussian Naïve Base (GNB), and Logistic Regression (LR) are tested in the simulation process on benchmark dataset. The simulation employs three DCS process methods: overall Local Accuracy (OLA), Meta Dynamic ensemble selection (META‐DES), and Bagging. From seven ML classifiers, the AdaBoost with Bagging DCS method got a 97.45% high accuracy rate for training samples and a 97.56% high accuracy rate for testing samples. The second high accuracy was obtained at 96.12% for training and 96.45% for testing samples from AdaBoost with the Meta‐DES method. Overall, the AdaBoost with Bagging model obtained higher accuracy, AUC, sensitivity, and specificity rate with minimum FPR and FNR for validation.
Applications of phenyliodine(III) diacetate in heterocyclic ringformations: An updatefrom 2015 to date
Authors: Alam Mohammed Mujahid , Hussien Mohamed , Bollikolla Hari Babu , Seema Vittal , Dubasi Narsimhaswamy , Amanullah Mohammed , Varala Ravi
Published: January 2023

Diacetoxyiodobenzene (PhI(OAc)2), commonly referred to asDAIBor phenyliodine(III) diacetate (PIDA), is one of the most frequently used hypervalent iodines employed as an oxidizing agent in organic chemistry. In this review,PIDAis highlighted exclusively in relation to its applications in organic synthesis involving heterocyclic ring formations and is critically and in‐depth examined from the summer of 2015 to the present with a specific focus on the mechanistic pathway.
The implementation checklist: A pragmatic instrument for accelerating research‐to‐implementation cycles
Authors: Prausnitz Stephanie , Altschuler Andrea , Herrinton Lisa J. , Avins Andrew L. , Corley Douglas A.
Published: January 2023

Introduction

Learning health systems require rapid‐cycle research and nimble implementation processes to maximize innovation across disparate specialties and operations. Existing detailed research‐to‐implementation frameworks require extensive time commitments and can be overwhelming for physician‐researchers with clinical and operational responsibilities, inhibiting their widespread adoption. The creation of a short, pragmatic checklist to inform implementation processes may substantially improve uptake and implementation efficiency across a variety of health systems.

Methods

We conducted a systematic review of existing implementation frameworks to identify core concepts. Utilizing comprehensive stakeholder engagement with 25 operational leaders, embedded physician‐researchers, and delivery scientists, concepts were iteratively integrated to create and implement a final concise instrument.

Results

A systematic review identified 894 publications describing implementation frameworks, which included 15 systematic reviews. Among these, domains were extracted from three commonly utilized instruments: the Quality Implementation Framework (QIF), the Consolidated Framework for Implementation Research (CFIR), and the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE‐AIM) framework. Iterative testing and stakeholder engagement revision of a four‐page draft implementation document with five domains resulted in a concise, one‐page implementation planning instrument to be used at project outset and periodically throughout project implementation planning. The instrument addresses end‐user feasibility concerns while retaining the main goals of more complex tools. This instrument was then systematically integrated into projects within the Kaiser Permanente Northern California Delivery Science and Applied Research program to address stakeholder engagement, efficiency, project planning, and operational implementation of study results.

Conclusion

A streamlined one‐page implementation planning instrument, incorporating core concepts of existing frameworks, provides a pragmatic, robust framework for evidence‐based healthcare innovation cycles that is being broadly implemented within a learning health system. These streamlined processes could inform other settings needing a best practice rapid‐cycle research‐to‐implementation tool for large numbers of diverse projects.
Applying the ICT4H model to understand the challenges for implementing ICT‐based health information services in primary healthcare in South Ethiopia
Authors: Bramo Senait Samuel , Desta Amare , Syedda Munavvar
Published: January 2023

Introduction

The implementation of Information and Communication Technology (ICT) in the Primary Level Health Care (PLHC) of low‐income countries is at the proof‐of‐concept level. Despite the wide‐ranging efforts over the past 35 years, healthcare facilities are grappling with implementation; the essential health information sources are inaccessible. Consequently, the potential benefits are marred by various challenges. Therefore, the aim of this study is to explore the challenges in the implementation of an ICT‐Based Health Information system (ICT‐BHIS) in the PLHC facilities of Wolaita Zone, South Ethiopia.

Methods

We conducted an 8‐month ethnographic study to develop and validate the Chibs ICT4H model. More specifically, a total of 160 h of observational data along with 21 key informant interviews were collected in the form of field notes and audio records. Both data were transcribed and entered into the Qualitative Data Analysis mine software version 1.4. Building on the constant comparative method of data analysis, we identified initial themes inductively, revisited the ICT4H model, and expanded and collapsed the themes prior to interpretation to generate new meaning.

Results

The findings of this study revealed that infrastructures, financial cost, technical constraints, human capital, stakeholders' engagement, and organizational commitment are the pressing challenges PLHC facilities face in the implementation of ICT‐based health information services.

Conclusions

This implies the need to shift the paradigm/gaze from piecemeals of multiple solo pilot projects to a unified strategy that touches multiple buttons/challenges for the successful implementation of ICT‐BHIS in the context of PLHC facilities.
Nonlinear dynamics of ascorbic acid‐KI interaction on carbon steel corrosion in acid medium
Authors: Garcia‐Ochoa Esteban , Maldonado‐Rivas Pablo , Corvo Francisco
Published: January 2023

Ascorbic acid (AA) has been reported as a corrosion inhibitor of carbon steel. The combined effect of AA and potassium iodide (KI) in the dynamics of the corrosion process of 1018 carbon steel is studied by electrochemical impedance spectroscopy (EIS) and electrochemical noise (EN) in an acid medium. EN data were used for nonlinear analysis by means of recurrence plots and their corresponding parameters, as well as by delay maps. Important information about the corrosion process of carbon steel corrosion in the presence of these two substances was obtained. AA does not behave as an inhibitor in this system, but the influence of KI is significant in inhibitor efficiency. The dynamics is established mainly by the adsorption of the I− ions on the steel surface and confirmed by the information entropy. The action of AA is to increase the degree of chaos when concentration increases. A relevant aspect determined is the relationship between the nonlinear dynamics of a corrosion process and its intensity.
Insight into polymer concentration, temperature, CO2 content, and Cl− content on corrosion of N80 steel tubing in polymer flooding
Authors: Dong Baojun , Zeng Dezhi , Favero Cédrick , Divers Thomas , Boisse Nicolas , Xu Qinglin , Ling Jing , Xie Kemin , Wang Qizhen
Published: January 2023

The corrosion of N80 steel in polymer flooding is studied, and the safe service life of N80 steel tubing is calculated. The results show that the temperature is the main factor affecting the corrosion of tubing during the process of polymer flooding, and the safe service life of N80 carbon steel tubing at 75°C is only 11.1 years. The polymer is connected by molecular chains to form a network structure and then adsorbed on the surface of the steel. As the polymer concentration increases, the space between polymer molecules becomes smaller; the exposed surface area decreases; and the corrosion rate of N80 steel decreases. Both temperature and Cl− ions destroy the adsorption capacity of the polymer on the carbon steel substrate. The negatively charged chloride ion repels the negatively charged polymer, leading to the resolution of the polymer and reduction of the corrosion inhibition of the polymer. High temperature destroys the polymer's intramolecular and intermolecular aggregation, and also wrecks the long molecular chain polymer structure, significantly inhibiting the corrosion inhibition effect of the polymer.
CMS sets parameters for services to meet social needs in Medicaid
Authors: Enos Gary
Published: January 2023

The federal Centers for Medicare & Medicaid Services (CMS) this month offered states additional guidance on incorporating services to address unmet health‐related social needs into their Medicaid managed care programs. The Jan. 4 document for state Medicaid directors presents guidelines for the use of services provided to enrollees in lieu of a service being covered in a Medicaid state plan.
A D‐band wideband low‐cost array for antenna‐in‐package applications
Authors: Chen Boshen , Tang Yang , Yue Haikun , Chen Yapei , Zhang Dongliang , Deng Xianjin
Published: January 2023

A wideband patch array operating at D‐band for antenna‐in‐package applications is presented in this paper. The array consists of two symmetrically positioned subarray elements and a grounded coplane waveguide feed line. Four E‐shaped patches are loaded in the array to enhance bandwidth. All geometry of the array is manufactured on a single‐layer quartz substrate without via hole, so that the difficulty and cost of fabrication are relieved greatly. Good agreements of reflection coefficient, pattern, and gain between measured and simulated results are achieved. Measurement shows that the array exhibits a −10 dB bandwidth of 19 GHz from 138 to 157 GHz and a 3‐dB gain bandwidth covering 140–159 GHz with a peak gain of 11.8 dBi at 147 GHz. Properties of wideband, moderate gain, low cost, and easy manufacture are achieved in this array.
Simultaneoussuperresolutionreconstruction and distortion correction for single‐shotEPI DWIusing deep learning
Authors: Ye Xinyu , Wang Peipei , Li Sisi , Zhang Jieying , Lian Yuan , Zhang Yajing , Lu Jie , Guo Hua
Published: January 2023

Purpose

Single‐shot (SS) EPI is widely used for clinical DWI. This study aims to develop an end‐to‐end deep learning–based method with a novel loss function in an improved network structure to simultaneously increase the resolution and correct distortions for SS‐EPI DWI.

Theory and Methods

Point‐spread‐function (PSF)–encoded EPI can provide high‐resolution, distortion‐free DWI images. A distorted image from SS‐EPI can be described as the convolution between a PSF function with a distortion‐free image. The deconvolution process to recover the distortion‐free image can be achieved with a convolution neural network, which also learns the mapping function between low‐resolution SS‐EPI and high‐resolution reference PSF‐EPI to achieve superresolution. To suppress the oversmoothing effect, we proposed a modified generative adversarial network structure, in which a dense net with gradient map guidance and a multilevel fusion block was used as the generator. A fractional anisotropy loss was proposed to utilize the diffusion anisotropy information among diffusion directions. In vivo brain DWI data were used to test the proposed method.

Results

The results show that distortion‐corrected high‐resolution DWI images with restored structural details can be obtained from low‐resolution SS‐EPI images by taking advantage of the high‐resolution anatomical images. Additionally, the proposed network can improve the quantitative accuracy of diffusion metrics compared with previously reported networks.

Conclusion

Using high‐resolution, distortion‐free EPI‐DWI images as references, a deep learning–based method to simultaneously increase the perceived resolution and correct distortions for low‐resolution SS‐EPI was proposed. The results show that DWI image quality and diffusion metrics can be improved.
Imidazolyl‐Substituted Benzo‐ and Naphthodithiophenes as Precursors for the Synthesis of Transient Open‐Shell Quinoids
Authors: Hou Peng , Peschtrich Sebastian , Feuerstein Wolfram , Schoch Roland , Hohloch Stephan , Breher Frank , Paradies Jan
Published: January 2023

The synthesis of three novel imidazolyl‐substituted sulfur‐containing heteroacenes is reported. These heteroacenes consisting of annelated benzo‐ and naphthothiophenes serve as precursors for the generation of open‐shell quinoid heteroacenes by oxidation with alkaline ferric cyanide. Spectroscopic and computational experiments support the formation of reactive open‐shell quinoids, which, however, quickly produce paramagnetic polymeric material.
Sandwich structures based on fused filament fabrication 3D‐printed polylactic acid honeycomb and poly(vinylidene fluoride) nanocomposites for microwave absorbing applications
Authors: Schmitz Debora P. , Soares Bluma G. , Barra Guilherme M. O. , Santana Leonardo
Published: January 2023

Polylactic acid (PLA)—based honeycomb samples with different cell sizes and thickness were prepared using the fused filament fabrication (FFF) 3D printing technology and used to build sandwiched multilayer structures consisted of the honeycomb as the core component and poly(vinylidene fluoride) (PVDF) and/or PVDF/carbon nanotube (CNT) nanocomposites as top and bottom layers. The effect of the honeycomb design (cell size and thickness) and the presence and nature of the impedance matching layer on the microwave absorbing properties of the corresponding structures was investigated in the X‐band (8.2–12.4 GHz) and Ku‐band (12.4–18 GHz). For the systems without matching layer or with neat PVDF film as the matching layer, the honeycomb with larger thickness (5 mm) and larger cell size resulted in better electromagnetic wave attenuation but narrow frequency bandwidth with RL below −10 dB. The best combination minimum RL value (−18 to −14 dB) and broad frequency bandwidth with attenuation higher than 90% (around 8 GHz) was achieved with honeycomb of 2 mm thickness sandwiched by PVDF/CNT05 as the matching layer and bottom layer constituted by PVDF/CNT1 film, regardless the cell size of the honeycomb. These results indicate the PLA honeycomb as promising candidate as component for multilayer microwave absorbing materials and open new possibilities of applications of FFF technology for designing flexible, lightweight, and low‐cost materials to be used in both civil and military industries.
Development of an image processing algorithm (IPA‐Delfin) for the digital reconstruction of composite overwrapped pressure vessels
Authors: Rozo Lopez Nicolas , Tao Yuchen , Çelik Hakan , Hopmann Christian
Published: January 2023

Wet filament winding has been established as the primary manufacturing process for overwrapped pressure vessels. However, the prediction of the mechanical performance of pressure vessels is still not sufficiently accurate, mostly due to process‐induced deviations within the laminate structure. In this work, we present an image processing algorithm (IPA‐Delfin) that enables the real‐time generation of a digital reconstruction based on the actual geometry and position of the placed roving. A Type‐IV pressure vessel is analyzed under real manufacturing conditions. Our approach allows the measurement of the overlapping degree of roving within the laminate and the prediction of gaps. The results show that the fiber‐band width and the overlapping area vary significantly when the roving is placed directly on the vessel's polymer liner. A more constant and uniform fiber‐band width and overlapping area were observed when the filament winding took place on the previously placed roving. Hence, the IPA‐Delfin can be potentially used for the generation of digital twins of composite overwrapped pressure vessels.
Comparison of severe hyponatremia in patients with and without psychiatric diseases: A single‐center retrospective study
Authors: Makino Eriko , Hashimoto Takahide , Sako Akahito , Nanasawa Hideki , Enomoto Tetsuro , Hayakawa Tatsuro , Hamasaki Hidetaka , Yanai Hidekatsu
Published: January 2023

Aims

Hyponatremia is a common electrolyte disorder. The severe hyponatremia has a mortality rate of 4%–40%. Psychiatric patients are likely to develop the condition because of polydipsia or the adverse effects of antipsychotics. We investigated the characteristics of patients with and without psychiatric diseases who developed severe hyponatremia.

Materials and Methods

We retrospectively investigated cases admitted to our hospital (all departments) between October 2012 and November 2015 with a serum sodium concentration of ≤125 mmol/l on admission. We compared patient characteristics, etiology, and clinical course between psychiatric and nonpsychiatric patients.

Results

In total, 123 cases (62 female) were analyzed. Psychiatric disorders were present in 69 cases (56%), including schizophrenia (n = 19), anorexia (n = 16), mood disorders (n = 14), and organic mental disorders (n = 9). The mean patient age was 63 years. The mean serum sodium concentration on admission was 119 mmol/l, and the main causes of hyponatremia were polydipsia (20%), insufficient sodium intake (18%), and syndrome of inappropriate antidiuretic hormone secretion (16%). Compared with the nonpsychiatric group, the psychiatric group was significantly younger (55 vs. 74 years), was more likely to have polydipsia (30% vs. 6%), and had a lower in‐hospital mortality (0% vs. 17%).

Conclusions

Our study found differences in the clinical picture between psychiatric and nonpsychiatric patients with severe hyponatremia. Clinicians need to monitor serum sodium because the symptoms of hyponatremia can mimic those of psychiatric diseases.
A numerical study on warm deep drawing of polypropylene
Authors: Emani Chandra Kishore Reddy , Mallick Pankaj K.
Published: January 2023

Warm deep drawing of polypropylene, a semi‐crystalline thermoplastic polymer, is studied using finite element analysis. In this process, a circular polypropylene blank is preheated to a temperature much below its melting temperature and deep drawn into the shape of a flat‐bottom cylindrical cup using a punch‐die combination, both initially at 25°C. The material model used for the analysis considers the effects of varying temperature and strain rate during the deep drawing process on the depth of draw. The effects of blank holder force, initial blank temperature, blank diameter, and die and punch corner radii on the depth of draw are determined. Thickness, temperature, and strain variations in the drawn cups, punch forces, and failure modes are also determined.
Improved subspace modal identification of industrial robots
Authors: Qiao Yuting , Cao Junyi , Huang Guohui , Liu Huan , Lei Yaguo , Liu Qinghua
Published: January 2023

Industrial robots have become key components for manufacturing automations due to their larger workspaces and flexibility. However, low stiffness and high compliance of industrial robots may inevitably lead to vibration by self‐excitation or periodic force dependent on workspace configuration. Therefore, the knowledge of the robot's modal properties should be accurately required to enhance the operation accuracy of industrial robots. To improve the identification accuracy of experimental modal parameters of field industrial robots, an improved subspace identification method is proposed to perform nonlinear iterative optimization for updating the state parameters of industrial robots. Experimental response measurement of a six‐degrees‐of‐freedom industrial robot is carried out to obtain modal parameters under various poses. The identification results of the improved subspace modal method are preferable to that of the traditional method. Moreover, the reconstructed three‐dimension working frequency space is presented to exactly characterize experimental modal frequencies throughout its workspace. The proposed method effectively improves the identification accuracy of modal parameters when compared with the traditional algorithms and the influence of robots' pose change on modal parameters is also investigated by experimental modal measurements.
A New Class of Proton Conductors with Dramatically Enhanced Stability and High Conductivity for Reversible Solid Oxide Cells
Authors: Luo Zheyu , Zhou Yucun , Hu Xueyu , Wang Weining , Ding Yong , Zhang Weilin , Li Tongtong , Kane Nicholas , Liu Zhijun , Liu Meilin
Published: January 2023

Reversible solid oxide cells based on proton conductors (P‐ReSOCs) have potential to be the most efficient and low‐cost option for large‐scale energy storage and power generation, holding promise as an enabler for the implementation of intermittent renewable energy technologies and the widespread utilization of hydrogen. Here, the rational design of a new class of hexavalent Mo/W‐doped proton‐conducting electrolytes with excellent durability while maintaining high conductivity is reported. Specifically, BaMo(W)0.03Ce0.71Yb0.26O3‐δ exhibits dramatically enhanced chemical stability against high concentrations of steam and carbon dioxide than the state‐of‐the‐art electrolyte materials while retaining similar ionic conductivity. In addition, P‐ReSOCs based on BaW0.03Ce0.71Yb0.26O3‐δ demonstrate high peak power densities of 1.54, 1.03, 0.72, and 0.48 W cm−2 at 650, 600, 550, and 500 °C, respectively, in the fuel cell mode. During steam electrolysis, a high current density of 2.28 A cm−2 is achieved at a cell voltage of 1.3 V at 600 °C, and the electrolysis cell can operate stably with no noticeable degradation when exposed to high humidity of 30% H2O at −0.5 A cm−2 and 600 °C for over 300 h. Overall, this work demonstrates the promise of donor doping for obtaining proton conductors with both high conductivity and chemical stability for P‐ReSOCs.