Perfect Match Research Articles

Find Your Perfect Match for Surgical Residency: Six Steps to Building your BRANDD from the Collaboration of Surgical Education Fellows.

Find Your Perfect Match for Surgical Residency: Six Steps to Building your BRANDD from the Collaboration of Surgical Education Fellows.

Using the wavelet transform for seismic wave impedance inversion

Model-based inversion technology has become one of the necessary technologies in the seismic exploration industry. It is frequently used to estimate many subsurface attributes, i.e., velocity, impedance, attenuation, etc. It is important to note that the accuracy of model-based inversion relies on the precision of the initial model, which suffers from insufficiency of low-frequency information in seismic data. Enhancing the high-frequency content and accuracy of low frequencies in the initial model can improve solution accuracy. Conventional initial models fail to adequately represent the high-frequency details of lateral geologic variations and to capture low-frequency components accurately. We develop a wavelet transform solution for this problem. Initially, we demonstrate that seismic records approximate the wavelet transform of logarithmic impedance. Consequently, we use the wavelet inverse transform to reconstruct the mid- and high-frequency information of seismic impedance, highlighting the detailed spatial variations. Furthermore, we apply kriging interpolation, based on subspace interpolation principles, using well impedance and seismic record waveforms to derive the low-frequency impedance from the scale inverse transform. Wavelet transform theory ensures a perfect match between the low- and high-frequency components in the inversion result. The frequency components of the inversion result are balanced, with no deficiencies or redundancies within the seismic data’s high cutoff frequency band. Thus, our method of initial model building is a type of inversion method. In addition, this method is simple and efficient because fast convolution processing can be performed. Model experiments and practical data inversions confirm the method’s feasibility and its ability to enhance resolution.

Personalized Nutrition with Banked Human Milk for Early Gut Microbiota Development: In Pursuit of the Perfect Match.

The correct initial colonization and establishment of the gut microbiota during the early stages of life is a key step, with long-lasting consequences throughout the entire lifespan of the individual. This process is affected by several perinatal factors; among them, feeding mode is known to have a critical role. Breastfeeding is the optimal nutrition for neonates; however, it is not always possible, especially in cases of prematurity or early pathology. In such cases, most commonly babies are fed with infant formulas in spite of the official nutritional and health international organizations' recommendation on the use of donated human milk through milk banks for these cases. However, donated human milk still does not totally match maternal milk in terms of infant growth and gut microbiota development. The present review summarizes the practices of milk banks and hospitals regarding donated human milk, its safety and quality, and the health outcomes in infants fed with donated human milk. Additionally, we explore different alternatives to customize pasteurized donated human milk with the aim of finding the perfect match between each baby and banked milk for promoting the establishment of a beneficial gut microbiota from the early stages of life.

Determination of nine bisphenol analogues in human urine by high-throughput solid-phase extraction and ultra-high performance liquid chromatography-tandem mass spectrometry analysis

Bisphenol analogues (BPs) are a class of typical environmental endocrine-disrupting chemicals (EDCs). This study aimed to establish a highly sensitive and high-throughput method utilizing 96-well solid-phase extraction (96-well SPE) in conjunction with ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) employing multiple reaction monitoring (MRM), information-dependent acquisition (IDA), and enhanced product ion (EPI) scan modes for the identification and quantitative analysis of nine BPs in human urine. Urine samples were initially thawed to room temperature, followed by digestion using β-glucuronidase in an ammonium acetate buffer solution at 37 °C overnight. Subsequently, they were purified using 96-well SPE and finally analyzed by UHPLC-MS/MS. The limits of detection (LOD) for the nine BPs ranged from 0.05 μg∙kg−1 to 0.3 μg kg−1. Average recoveries fell within the range of 92.8 % to 111.7 %. Moreover, both the intra-day and inter-day precisions were satisfactory, with relative standard deviations (RSDs) ranging from 2.2 % to 6.7 % and 3.5 % to 6.3 %, respectively. The targets in the samples exhibited a perfect match, with a purity fit value exceeding 70 % from the self-built library. The analytical method developed in this study demonstrates high accuracy and sensitivity. In addition, the MRM-IDA-EPI mode can effectively identifies the target BPs and prevents false positive detection of analytes in the urine.

High‐Throughput Screening of Low‐Bandgap Organic Semiconductors for Photovoltaic Applications: In the Search of Correlations

Low‐bandgap nonfullerene acceptors (NFAs) offer a unique potential for photovoltaic (PV) applications, such as transparent PV and agrivoltaics. Evaluating each new PV system to achieve the optimum thickness, microstructure, and device performance is, however, a complex multiparametric challenge with large time and resource requirements. Herein, the PV potential of low‐bandgap donor and NFA materials by combining high‐throughput screening and statistical methods is evaluated. The use of thickness gradients (20–600 nm) facilitates the fabrication of more than 2000 doctor‐bladed devices from 24 different low‐bandgap blend combinations. The corresponding power conversion efficiencies varies significantly, from 0.06% to 10.45% across materials and thicknesses. The self‐consistency of the large dataset allows to perform a parameter sensitivity study as well as parameter correlation analysis. These reveal that the choice of materials and energy alignment‐related features (i.e., electron affinity offset, ionization energy offset, bandgap, and energy loss) has the largest influence on final device performance, while processing conditions appear less important for the final efficiencies. Our study demonstrates that high‐throughput experimentation is a perfect match for correlation analyses in order to gain a statistically meaningful understanding of these systems, potentially accelerating the discovery of new materials.

Gas Chromatography and Ion Mobility Spectrometry: A Perfect Match?

Over the past few decades, their outstanding sensitivity and quick response times have allowed ion mobility spectrometers (IMS) to become increasingly popular detectors for gas chromatographs (GC). In this manuscript, we discuss the basic operating principle of IMS, its resulting strengths and weaknesses, and why both perfectly align with the capabilities and requirements of gas chromatographs. This is combined with basic advice for setting up GC-IMS couplings and an outlook on some future developments.

Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging.

Cardiovascular diseases remain a significant health burden, with imaging modalities like echocardiography, cardiac computed tomography, and cardiac magnetic resonance imaging playing a crucial role in diagnosis and prognosis. However, the inherent heterogeneity of these diseases poses challenges, necessitating advanced analytical methods like radiomics and artificial intelligence. Radiomics extracts quantitative features from medical images, capturing intricate patterns and subtle variations that may elude visual inspection. Artificial intelligence techniques, including deep learning, can analyze these features to generate knowledge, define novel imaging biomarkers, and support diagnostic decision-making and outcome prediction. Radiomics and artificial intelligence thus hold promise for significantly enhancing diagnostic and prognostic capabilities in cardiac imaging, paving the way for more personalized and effective patient care. This review explores the synergies between radiomics and artificial intelligence in cardiac imaging, following the radiomics workflow and introducing concepts from both domains. Potential clinical applications, challenges, and limitations are discussed, along with solutions to overcome them.

Pattern‐Matched Polymer Ligpands Toward Near‐Perfect Synergistic Passivation for High‐Performance and Stable Br/Cl Mixed Perovskite Light‐Emitting Diodes

Mixed Br/Cl perovskite nanocrystals (PeNCs) exhibit bright pure‐blue emission benefiting for fulfilling the Rec. 2100 standard. However, phase segregation remains a significant challenge that severely affects the stability and emission spectrum of perovskite light‐emitting diodes (PeLEDs). Here, we demonstrate the optimization of the spacing between polydentate functional groups of polymer ligands to match the surface pattern of CsPbBr1.8Cl1.2 PeNCs, resulting in effective synergistic passivation effect and significant improvements in PeLED performances. The block and alternating copolymers with different inter‐functional group spacing are facilely synthesized as ligands for PeNCs. Surprisingly, block copolymers with a higher functional group density do not match PeNCs, while alternating copolymers enable efficient PeNCs with the high photoluminescence intensity, low non‐radiative recombination rate and high exciton binding energy. Density functional theory calculations clearly confirm the almost perfect match between alternating copolymers and PeNCs. Finally, pure‐blue PeLEDs are achieved with the emission at 467 nm and Commission Internationale de l'Eclairage (CIE) coordinates of (0.131, 0.071), high external quantum efficiency (9.1%) and record spectral and operational stabilities (~ 80 mins) in mixed‐halide PeLEDs. Overall, this study contributes to designing the polymer ligands and promoting the development of high‐performance and stable pure‐color PeLEDs towards display applications.

Pattern-Matched Polymer Ligands Toward Near-Perfect Synergistic Passivation for High-Performance and Stable Br/Cl Mixed Perovskite Light-Emitting Diodes.

Mixed Br/Cl perovskite nanocrystals (PeNCs) exhibit bright pure-blue emission benefiting for fulfilling the Rec. 2100 standard. However, phase segregation remains a significant challenge that severely affects the stability and emission spectrum of perovskite light-emitting diodes (PeLEDs). Here, we demonstrate the optimization of the spacing between polydentate functional groups of polymer ligands to match the surface pattern of CsPbBr1.8Cl1.2 PeNCs, resulting in effective synergistic passivation effect and significant improvements in PeLED performances. The block and alternating copolymers with different inter-functional group spacing are facilely synthesized as ligands for PeNCs. Surprisingly, block copolymers with a higher functional group density do not match PeNCs, while alternating copolymers enable efficient PeNCs with the high photoluminescence intensity, low non-radiative recombination rate and high exciton binding energy. Density functional theory calculations clearly confirm the almost perfect match between alternating copolymers and PeNCs. Finally, pure-blue PeLEDs are achieved with the emission at 467 nm and Commission Internationale de l'Eclairage (CIE) coordinates of (0.131, 0.071), high external quantum efficiency (9.1 %) and record spectral and operational stabilities (~80 mins) in mixed-halide PeLEDs. Overall, this study contributes to designing the polymer ligands and promoting the development of high-performance and stable pure-color PeLEDs towards display applications.

Cap-snatching mechanism-mediated unveiling of the transcriptional initiation sites of two distinct begomoviruses

Significant economic losses are inflicted by plant viruses, which pose a risk to sustainable agriculture. The proliferation of novel viral diseases is predominantly attributable to factors such as climate change, international trade, and the rapid evolutionary capabilities of viruses. Begomoviruses are a major group of plant-infecting viruses that pose an imminent threat to global agriculture by causing devastating viral diseases in many crop species. The transcriptional start sites (TSSs) of many plant viruses are typically found in the intergenic region (IR), which is the non-coding (NC) area between the viral genes. The promoters play a crucial role in initiating the transcription process by aiding in the recruitment of cellular transcription machinery. The TSSs are precise nucleotide sequences where RNA polymerase initiates the transcription process. The primary objective of this study was to determine the total number of TSSs for two devastating begomoviruses, family: Geminiviridae, Cotton leaf curl Multan virus (CLCuMuV) and Ageratum yellow vein mosaic virus (AYVMV), using the cap-snatching method in conjunction with one heterologous plant virus. These two begomoviruses, along with their infectious clones, were intentionally infected with selected heterologous plant virus in N. benthamiana plants. The identification of the 5′ ends of heterologous viral mRNA was accomplished by employing high-throughput sequencing to assess the capped RNA leaders (CRLs). The determination of the 5′ termini of suspected begomoviral mRNAs was achieved by aligning the collected CRLs of heterologous virus with the genome of each begomovirus, taking into account only those that were a perfect match with the begomoviral genome. In this study, the TSSs of both begomoviruses were identified via complementary approach. The utilization of high-throughput sequencing for both begomoviruses has facilitated the acquisition of millions of sequences. Comprehending the TSSs and promoter components of begomoviruses is crucial for understanding their ability to cause disease, their interactions with host organisms, and for developing effective methods to manage and control the diseases, they inflict on economically significant crop plants.

Electrocardiographic imaging to guide ablation of ventricular arrhythmias shows a higher benefit in patients with low intraprocedural burden

Abstract Background and aims Electrocardiographic imaging (ECGI) provides a non-invasive activation map of focal ventricular arrhythmias that has shown good accuracy regardless of the type of cardiac source used. Pre-procedure diagnosis in cases that are expected to be difficult and management of infrequent or poorly tolerated or multiple arrhythmias are some situations that may benefit the most from having an ECGI performed before the procedure. This study aimed to assess the benefit of the ECGI in patients with low intraprocedural burden. Methods We performed 81 ECGI procedures in 64 consecutive patients referred for ablation of ventricular arrhythmias (VAs). Ablations were performed with remote magnetic navigation or manually. The localization of the VAs based on the ECGI and invasive electroanatomic mapping was performed using a segmental model of the ventricles. A perfect match (PM) was defined as a predicted location within the same anatomic segment, whereas a near match (NM) was defined as a predicted location within the same segment or a contiguous one. The agreement between the ECGI and the invasive map was evaluated. The benefit of the ECGI in the subgroup of patients with intraprocedural infrequent VAs, defined as less than 1 VA complex /min, was assessed in terms of the success of the procedure. Results The ECGI was performed with the AMYCARD 01 only, in 26 patients, with the VIVO only, in 21 patients, and with both systems in 17 patients. Fifty-one patients underwent ablation. 65 ECGI procedures were performed before ablation in those 51 patients, 37 with Amycard with a rate of PM of 79% and NM of 97%, and 28 ECGI procedures with VIVO with 82% of PM and 93% of NM, not significantly different, respectively, p=0.764 and 0.573. The overall success rate was 80%. The low intraprocedural burden group included 28 patients (2 examples shown in the figure). The success rate was 86%, higher than the overall success rate, and much higher than the previously reported in the literature for this group of patients. Conclusions The ECGI was useful in predicting the location of the VA in general but was especially helpful in cases that are usually challenging, like patients with intraprocedural infrequent VAs.

Biochemical risk factors and outcomes of acute promyelocytic leukemia patients with thrombotic events: a matched pair analysis.

Acute promyelocytic leukemia (APL) stands out as a distinctive form of acute leukemia, exhibiting a higher occurrence of thrombotic events when contrasted with other leukemia subtypes. Since thrombosis is a relatively rare but unfavorable condition with poor prognostic implications, it is crucial to determine the risk factors for thrombotic events in APL(thrombosis in large venous or arterial from onset to differentiation therapy in 30d). We performed a retrospective study involving 950 APL patients between January 2000 and October 2022, from which 123 were excluded by younger than 16years of age, 95 were excluded by incomplete data, and 6 were excluded by thrombosis related to CVC or PICC. A total of 23 APL patients with thrombosis for inclusion in our analysis were performed a 1:5 ratio matching based on sex (perfect match) and age (within 5years) to patients without thrombosis. These patients were continuously monitored in the outpatient department over a period of 5years. We meticulously examined clinical and laboratory data to pinpoint the risk factors related to thrombotic events in APL. Our primary clinical endpoints were all-cause mortality and achieving complete remission, while secondary clinical outcomes included APL relapse. Thrombotic events were observed in 2.4% (23/950) of APL patients. Compared to patients without thrombosis, patients with thrombosis had higher lactate dehydrogenase (LDH) [313 (223, 486) vs. 233 (188, 367) U/L, p = 0.020], higher indirect bilirubin [11.2 (7.4, 18.6) vs.8.3 (6.0, 10.7) umol/L, p = 0.004], higher creatinine [72 (62, 85) vs. 63 (54, 74) umol/L, p = 0.026], higher CD2 expression (65.2 vs. 15.2%, p < 0.001), higher CD15 expression (60.9 vs. 24.3%, p = 0.001), and PML/RARαisoforms (p < 0.001). Multivariate-logistic-regression analysis revealed several factors that were markedly related to thrombosis, including LDH (OR≈1.003, CIs≈1.000-1.006, p = 0.021), indirect bilirubin (OR≈1.084, CIs≈1.000-1.188, p = 0.043), CD2 expression positive (OR≈16.629, CIs≈4.001-62.832, p < 0.001), and CD15 expression positive (OR≈7.747, CIs≈2.005-29.941, p = 0.003). The S-type (OR≈0.012, CIs≈0.000-0.310, p = 0.008) and L-type (OR≈0.033, CIs≈0.002-0.609, p = 0.022) PML/RARα isoforms were negatively associated with thrombosis. Kaplan-Meier curves indicated that the survival rates were remarkably varied between APL patients with and without thrombosis (HR:21.34, p < 0.001). LDH and indirect bilirubin are variables significantly associated with thrombosis in APL, S-type and L-type PML/RARαisoforms exhibit a negative association with thrombotic events. The thrombotic events of APL can predict the subsequent survival of thrombosis. The findings of our study have the potential to facilitate early detection of thrombosis and enhance the prognosis for individuals with APL who develop thrombosis. Further validation of our findings will be essential through future prospective or multicenter studies.

Zygotic-splitting after in vitro fertilization and prenatal parenthood testing after suspected embryo mix-up – a case report

After in vitro fertilization with a single embryo, the parents learned about being pregnant with twins in the 10th week with various indications that an embryonic mix-up could have taken place. The affected couple thus expressed the urgent desire for a clarification of parenthood considering an abortion. However, the prenatal test results would not have been available until the 14/15th week of pregnancy. Legally, then, severe physical or mental distress of the pregnant woman must be claimed by physicians to justify an abortion after the twelfth week. However, a lack of genetic relatedness could lead to serious psychological distress for the parents, making a pregnancy termination possible even after the twelfth week, which is discussed in this case study alongside the interdisciplinary team’s ethical, legal, and medical considerations.For the invasive relationship testing, cultivated chorionic villi samples (CVS) from both unborn and saliva samples from the putative parents were genetically analyzed using classical short tandem repeats (STR) analysis. The perfect match of both CVS profiles suggested the occurrence of an unusual late twin shaft, for which, fortunately, parenthood could be confirmed. To our knowledge, this is the first report on a prenatal investigation of a suspected embryo mix-up after assisted reproductive technology (ART), in which parenthood should be fixed. We want to draw attention to this unthinkable scenario, which may increase in the future with ART-induced rising multiple pregnancies.

The perfect prosthesis/patient match: pursuit of the Holy Grail.

In 1978, Rahimtoola published a successful series of surgical aortic valve replacements (SAVR) on patients with severe aortic stenosis (AS) with congestive heart failure (CHF). He described the perfect prosthesis-patient match as a "prosthetic valve with a functioning opening area that matches the patient's normal functioning valve." This manuscript revisits the forty-six-year journey in pursuit of that perfect match. We address the essential components for the perfect match, such as the usefulness of the current valve sizing techniques using the manufacturer's labeled valve size (MLVS) and sizer, the accuracy of an objective parameter to define the perfect match, and the need and safety to enlarge the patient's annulus and root to accommodate the proper size valve. A thorough literature search was performed using the University of Michigan Medical Library search engine. The population included patients who underwent SAVR. Three individual searches were conducted: (I) valve size and sizing techniques; (II) hemodynamic performance (HP) and prosthesis-patient mismatch (PPM); and (III) aortic root enlargement (ARE) procedures. Excluded were articles not in English, articles that involved animal research, duplicate articles, articles involving valve repair, allograft or autograft replacement, and articles specific to aortic sizing and congenital heart surgery. The emphasis was placed on randomized prospective trials, large registry trials with and without propensity matching, and meta-analysis articles. We discovered that the manufacturer-labeled valve size and sizing technique does not accurately represent the functional opening area of the valve. A pre-operative multidetector computed tomography (CT) scan is an accurate and reproducible method for measuring patient root and annulus dimensions and should be used for pre-operative valve sizing for SAVR. Matching the CT area derived aortic diameter with the true functional diameter of the opening of the prosthetic valve will yield the best prosthesis-patient match. ARE is safe and should be used to attain the best match.

Transthoracic echocardiography is a simple tool for size matching in cardiac xenotransplantation.

Preoperative size matching is essential for both allogeneic and xenogeneic heart transplantation. In preclinical pig-to-baboon xenotransplantation experiments, porcine donor organs are usually matched to recipients by using indirect parameters, such as age and total body weight. For clinical use of xenotransplantation, a more precise method of size measurement would be desirable to guarantee a "perfect match." Here, we investigated the use of transthoracic echocardiography (TTE) and described a new method to estimate organ size prior to xenotransplantation. Hearts from n = 17 genetically modified piglets were analyzed by TTE and total heart weight (THW) was measured prior to xenotransplantation into baboons between March 2018 and April 2022. Left ventricular (LV) mass was calculated according to the previously published method by Devereux etal. and a newly adapted formula. Hearts from n = 5 sibling piglets served as controls for the determination of relative LV and right ventricular (RV) mass. After explantation, THW and LV and RV mass were measured. THW correlated significantly with donor age and total body weight. The strongest correlation was found between THW and LV mass calculated by TTE. Compared to necropsy data of the control piglets, the Devereux formula underestimated both absolute and relative LV mass, whereas the adapted formula yielded better results. Combining the adapted formula and the relative LV mass data, THW can be predicted with TTE. We demonstrate reliable LV mass estimation by TTE for size matching prior to xenotransplantation. An adapted formula provides more accurate results of LV mass estimation than the generally used Devereux formula in the xenotransplantation setting. TTE measurement of LV mass is superior for the prediction of porcine heart sizes compared to conventional parameters such as age and total body weight.

Boosting organic phosphorescence in adaptive host-guest materials by hyperconjugation

Phosphorescence is ubiquitous in heavy atom-containing organic phosphors, which attracts considerable attention in optoelectronics and bioelectronics. However, heavy atom-free organic materials with efficient phosphorescence are rare under ambient conditions. Herein, we report a series of adaptive host-guest materials derived from dibenzo-heterocyclic analogues, showing host-dependent color-tunable phosphorescence with phosphorescence efficiency of up to 98.9%. The adaptive structural deformation of the guests arises from the hyperconjugation, namely the n→π* interaction, enabling them to inhabit the cavity of host crystals in synergy with steric effects. Consequently, a perfect conformation match between host and guest molecules facilitates the suppression of triplet exciton dissipation, thereby boosting the phosphorescence of these adaptive materials. Moreover, we extend this strategy to a ternary host-guest system, yielding both excitation- and time-dependent phosphorescence with a phosphorescence efficiency of 92.0%. This principle provides a concise way for obtaining efficient and color-tunable phosphorescence, making a major step toward potential applications in optoelectronics.

Questions of scale sensitivity, experience and branding culture in and beyond Hans Christian Andersen's House

With a new museum, Hans Christian Andersen's House, the Danish city of Odense has intensified the relationship between the nineteenth-century author, a son of the city, and the architectural spaces of today. The museum opened in 2021 but has drawn much attention since 2016 when Kengo Kuma and Associates were announced as winners of the competition to design this new house of fairy tales. The combination of Andersen, a cherished author whose works are read worldwide, and Kuma, an esteemed world-famous architect, seemed a perfect match to secure attention from a wider public and attract local and international visitors. The museum's architecture and urban garden form a focal point in the exhibition design but are also central elements in a larger transformation project in Odense. Entangled in all this is Andersen: his fairy tales, his personality, and the places he lived in Odense. The article explores how experiential visions and branding culture are balanced, and argues that the museum was created with a sensitivity towards different scales that form the relations with the museum's contexts. How such scale sensitivity is connected to the materiality, spaces, and bodily experiences of the museum is analysed through theories by Gilles Deleuze and Félix Guattari, Maurice Merleau-Ponty, and Celia Lury.

Gamified Strength Recognition and Quiz to Enhance COVID-19 Prevention Knowledge and Behaviors, and Family Well-Being: Web-Based Pilot Intervention.

Background: Promoting COVID-19 prevention is key to pandemic control and innovative interventions can help communicate reliable science to the public. Under the Hong Kong Jockey Club SMART Family-Link Project, we developed and evaluated a pilot intervention for promoting COVID-19 prevention through a web-based family game, guided by the Theory of Planned Behavior and a strength-based approach. Methods: The "SMART Epidemic prevention" pilot theme was launched to the public on September 21, 2020 for 4 weeks. The game had two parts: (i) strength recognition and (ii) quiz questions on knowledge and behaviors about COVID-19 prevention. Simple baseline, in-game, and postgame evaluation assessed players' perceived knowledge, behaviors, family well-being, game satisfaction, and perceived benefits. Results: Of 86 registered families, 55 played actively, including 212 players (51% female, 35% aged below 18) who self-identified as children (44%), parents (39%), and grandparents (11%). In weeks 1 and 4, an average of 7 and 18 game rounds were played per family, and 86.6% and 75.9% of rounds had perfect (2) behavior matches. Postgame evaluation with 51 families showed improvements in epidemic prevention knowledge and behaviors, family communication, family happiness (all P < 0.001), and family relationship (P = 0.002) with small effect sizes (0.15-0.29). Overall game satisfaction was rated 4.49 (scale of 1-5). Ninety-four percent of families shared knowledge from the game with others. Conclusions: Our pilot web-based family game first showed preliminary evidence on enhancing COVID-19 prevention knowledge and behaviors, and family well-being, with participants recognizing family strengths, reporting high satisfaction and various perceived benefits, and showing sustained gameplay. Trial Registration: The research protocol was registered at the National Institutes of Health (Identifier No. NCT04550065) on September 16, 2020.

Elementary flow mapping across life cycle inventory data systems: A case study for data interoperability under the Global Life Cycle Assessment Data Access (GLAD) initiative

PurposeLimited availability of life cycle assessment (LCA) data poses a significant challenge to its mainstream adoption, rendering it a central issue within the LCA community. The Global LCA Data Access (GLAD) network aims to increase the accessibility and interoperability of LCA data and offers benefits for different use cases. GLAD is an intergovernmental collaboration involving different stakeholders organized into working groups. The GLAD Nomenclature Working Group (NWG) developed a procedure and a set of criteria to map elementary flows among major nomenclature systems and reviewed bidirectional mappings. This paper provides an overview of the methodological approach followed by the NWG to achieve the resulting mapping files.MethodsThe mapping procedure involves several steps of flow and compartment matches and bilateral review. The procedure is supported by an ad hoc software tool called the “GLAD Mapper Tool” developed with the NWG and which is made available for free by the European Commission. The input files for the procedure are the properly formatted source and target flow lists and a file containing the mapping criteria. The four nomenclature systems mapped are those used in ecoinvent, Environmental Footprint, IDEA, and the U.S. Federal LCA Commons. The procedure included representatives from each of these nomenclature systems to ensure a multilateral agreement on the approach to verifying and assessing the quality of the results. The iterative mapping process included different stages of bidirectional reviews to achieve a balance between mapping coverage (i.e., percentage of source flows covered by the target list) and accuracy.Results and discussionThe mapping procedure proved to be an efficient approach for LCA practitioners in mappings between different nomenclature systems. After a relatively low number of iterations, mapping coverages higher than 90% were achieved, which is driven by the availability of unique substances (flow names) and the granularity of environmental compartments. Overall, none of the four flow lists achieved full coverage and the use of approximated matches (proxy matches) for environmental compartments and/or substances was necessary when a perfect matches between flows were not possible.ConclusionsThe NWG’s mapping activities may serve as a starting point towards defining a central hub for mapping impact assessment methods and datasets, improving data accessibility and interoperability for the LCA community as a step towards defining a unified nomenclature system. The GLAD mapping approach is open and transparent. The approach fosters traceability in the mapping process and offers the potential for greater interoperability across the LCA community, underlining the commitment to openness and collaboration.

Comparison of WHO versus national COVID-19 therapeutic guidelines across the world: not exactly a perfect match

BackgroundThe COVID-19 pandemic affected all WHO member states. We compared and contrasted the COVID-19 treatment guidelines of each member state with the WHO COVID-19 therapeutic guidelines.MethodsMinistries of Health or accessed...