Deflection of sliding droplets by dielectrophoresis force on a superhydrophobic surface.

In this study, we experimentally identify the effect of liquid dielectrophoresis (LDEP) force on a superhydrophobic surface in directing the trajectory of moving water droplets across designed interdigitated electrodes and show that this method is capable of rapidly selecting droplets at a high speed (200 mm/s). As the droplets traverse down the surface by the electric field, their deflection on the edge of these electrodes is achieved successively, allowing for the selective manipulation of discrete droplets. A series of experiments were conducted to validate the relationships among droplet deflections, applied electric fields, and dynamic contact angles. Our findings reveal that the principal driving force behind the droplet deflections is the LDEP force, which can provide instant manipulation of moving droplets rather than a variation in contact angles brought about by electrowetting. This study presents a proof-of-concept experiment utilizing LDEP for high-throughput droplet selection and also highlights the potential applications of this mechanism in high-speed digital microfluidics (DMF) and biological separation methodologies.

Exosomes Secreted by Wharton's Jelly-Derived Mesenchymal Stem Cells Promote the Ability of Cell Proliferation and Migration for Keratinocyte.

Mesenchymal stem cells (MSCs) isolated from Wharton's jelly (WJ-MSCs) and adipose tissue (AD-MSCs) are alternative sources for bone marrow-derived MSCs. Owing to their multiple functions in angiogenesis, immune modulation, proliferation, migration, and nerve regeneration, MSC-derived exosomes can be applied in "cell-free cell therapy". Here, we investigated the functional protein components between the exosomes from WJ-MSCs and AD-MSCs to explain their distinct functions. Proteins of WJ-MSC and AD-MSC exosomes were collected and compared based on iTRAQ gel-free proteomics data. Results: In total, 1695 proteins were detected in exosomes. Of these, 315 were more abundant (>1.25-fold) in AD-MSC exosomes and 362 kept higher levels in WJ-MSC exosomes, including fibrinogen proteins. Pathway enrichment analysis suggested that WJ-MSC exosomes had higher potential for wound healing than AD-MSC exosomes. Therefore, we treated keratinocyte cells with exosomes and the recombinant protein of fibrinogen beta chain (FGB). It turned out that WJ-MSC exosomes better promoted keratinocyte growth and migration than AD-MSC exosomes. In addition, FGB treatment had similar results to WJ-MSC exosomes. The fact that WJ-MSC exosomes promoted keratinocyte growth and migration better than AD-MSC exosomes can be explained by their higher FGB abundance. Exploring the various components of AD-MSC and WJ-MSC exosomes can aid in their different clinical applications.

Carbohydrate-Mediated Pregnancy Gut Microbiota and Neonatal Low Birth Weight.

The effects of gut microbiota on the association between carbohydrate intake during pregnancy and neonatal low birth weight (LBW) were investigated. A prospective cohort study was conducted with 257 singleton-born mother-child pairs in Taiwan, and maternal dietary intake was estimated using a questionnaire, with each macronutrient being classified as low, medium, or high. Maternal fecal samples were collected between 24 and 28 weeks of gestation, and gut microbiota composition and diversity were profiled using 16S rRNA amplicon gene sequencing. Carbohydrates were the major source of total energy (56.61%), followed by fat (27.92%) and protein (15.46%). The rate of infant LBW was 7.8%, which was positively correlated with maternal carbohydrate intake. In the pregnancy gut microbiota, Bacteroides ovatus and Dorea spp. were indirectly and directly negatively associated with fetal growth, respectively; Rosenburia faecis was directly positively associated with neonatal birth weight. Maternal hypertension during pregnancy altered the microbiota features and was associated with poor fetal growth. Microbiota-accessible carbohydrates can modify the composition and function of the pregnancy gut microbiota, thus providing a potential marker to modulate deviations from dietary patterns, particularly in women at risk of hypertension during pregnancy, to prevent neonatal LBW.

Substrate-Controlled Divergent Synthesis of Benzimidazole-Fused Quinolines and Spirocyclic Benzimidazole-Fused Isoindoles.

A Rh(III)-catalyzed annulation of 2-arylbenzimidazoles with α-diazo carbonyl compounds via C-H activation/carbene insertion/intramolecular cyclization is explored. The switchable product selectivity is achieved by the use of distinct α-diazo carbonyl compounds. Benzimidazole-fused quinolines are obtained through [4 + 2] annulation exclusively when 2-diazocyclohexane-1,3-diones are used, where they act as a C2 synthon. Alternatively, diazonaphthalen-1(2H)-ones merely function as a one-carbon unit synthon to generate a quaternary center through [4 + 1] cyclization to afford spirocyclic benzimidazole-fused isoindole naphthalen-2-ones. A thorough mechanistic study reveals the course of the reaction.

[Research Progress on Solidification and MICP Remediation of Soils in Heavy Metal Contaminated Site].

Heavy metal pollution in soils of smelting sites is an important environmental problem to be solved urgently. Solidification technology has become one of the mainstream technologies for heavy metal remediation in contaminated sites owing to its shorter remediation time, low cost, and high treatment efficiency. On the basis of summarizing the latest research progress on the remediation of heavy metal pollution in sites by solidification in the past 10 years, this study focused on the mechanisms of solidification technology and analyzed the advantages and disadvantages of different mechanisms (mechanism of inorganic materials, mechanism of organic materials, mechanism of mechanical ball milling, and mechanism of microbial-induced carbonate mineralization (MICP)) and their scope of application. Then, according to the research focus and development trend presented by CiteSpace, the application prospects and limiting factors of MICP technology for the solidification and remediation of heavy metal pollution in sites were summarized from three aspects:the application of MICP in multi-metal remediation, the application of MICP composites in contaminated sites, and the influencing factors of MICP technology application. Finally, the prospects and challenges in solidification technology were put forward in order to provide reference for the future development.

Using Liquid Chromatography-Tandem Mass Spectrometry in Detecting Plasma Lyso-GL3 Levels in Patients with Fabry Disease and the Association Analysis of Phenotype-Genotype of the Disease / 罕见病研究

ObjectiveUsing the liquid chromatography-tandem mass spectrometry (LC-MS/MS) to determine the plasma level of Lyso-GL3 in patients with Fabry disease and to analyze the clinical application of the method.MethodsThirty-nine patients with a genetic diagnosis of Fabry disease were included, and plasma levels of Lyso-GL3 were measured by LC-MS/MS analysis, and detailed clinical information of the patients was obtained including: α-galactosidase A activity, genetic variants, quantification of urine protein, mean arterial pressure, and estimation of glomerular filtration rate, and the differences in the levels of Lyso-GL3 in different clinical phenotypes and genotypes were statistically analyzed, as well as the association with clinical indicators.ResultsLyso-GL3 showed good linearity within 0.7856-400 ng/mL(r=0.9992).Further analysis of 39 Fabry disease patients diagnosed in Ruijin Hospital, Shanghai Jiao Tong University School of Medicine showed a median Lyso-GL3 concentration of 23.6 ng/mL(4.3-92.9 ng/mL); Lyso-GL3 levels were significantly higher in patients with both the frameshift and the splicing mutations, as well as in patients with the nonsense mutations, than in patients with the missense mutations (median value 119.7 ng/mL vs. 11.9 ng/mL, P=0.006, and median value 97.0 ng/mL vs. 11.9 ng/mL, P=0.015, respectively). Whereas, association analysis revealed that Lyso-GL3 was not significantly associated with urinary protein, mean arterial pressure and estimated glomerular filtration rate.ConclusionsThe using of LC-MS/MS to quantify plasma Lyso-GL showed significant differences in Lyso-GL3 concentrations between classical and atypical phenotypes, suggesting that plasma Lyso-GL3 may help with clinical phenotypes. However, Lyso-GL3 levels is found to be overlapped between genotypes. No significant linear correlation was found between Lyso-GL3 and renal clinical indicators, suggesting the urgent need in finding a more accurate tool to assess renal involvement and prognosis in patients with Fabry disease.

Post COVID-19 condition and behavioral manifestations in Taiwanese children.

BACKGROUND: This study investigated the prevalence of post COVID-19 condition (PCC) in Taiwanese children, explored common symptoms and behavioral manifestations in children with PCC, and examined potential associations with parental stress and family functioning. METHODS: A total of 116 children who had contracted COVID-19 and their parents participated. At 1 month after the confirmed COVID-19 infection (baseline), the parents were asked to complete a questionnaire about the post COVID-19 symptoms, the child behavior checklist (CBCL) based on the child's situation, also the impact event scale of COVID-19 (IES-C) and family APGAR based on the parents' own situation. Three months after the confirmed COVID-19 infection, parents were again asked to complete the same questionnaires as they did at baseline. RESULTS: Results showed that 44.8% of the children met the criteria for PCC, with the most common symptoms being sputum/nasal congestion, tiredness and decreased concentration. Children without PCC exhibited a significant decrease in CBCL scores during the 2-month follow-up, while no such decrease was observed in children with PCC. However, no significant correlations were found between the number of post COVID-19 symptoms, behavioral manifestations, parental stress levels, and family functioning. CONCLUSIONS: Children with PCC have a less favorable trajectory in improving their behavioral manifestations. Additionally, in the post-pandemic era, post COVID-19 symptoms in children are not necessarily correlated with parental stress and family functioning. Further research is needed to better understand the long-term implications of PCC in children and its impact on their mental well-being, as well as their families.

Prediction for blood lactate during exercise using an artificial intelligence-Enabled electrocardiogram: a feasibility study.

Introduction: The acquisition of blood lactate concentration (BLC) during exercise is beneficial for endurance training, yet a convenient method to measure it remains unavailable. BLC and electrocardiogram (ECG) both exhibit variations with changes in exercise intensity and duration. In this study, we hypothesized that BLC during exercise can be predicted using ECG data. Methods: Thirty-one healthy participants underwent four cardiopulmonary exercise tests, including one incremental test and three constant work rate (CWR) tests at low, moderate, and high intensity. Venous blood samples were obtained immediately after each CWR test to measure BLC. A mathematical model was constructed using 31 trios of CWR tests, which utilized a residual network combined with long short-term memory to analyze every beat of lead II ECG waveform as 2D images. An artificial neural network was used to analyze variables such as the RR interval, age, sex, and body mass index. Results: The standard deviation of the fitting error was 0.12 mmol/L for low and moderate intensities, and 0.19 mmol/L for high intensity. Weighting analysis demonstrated that ECG data, including every beat of ECG waveform and RR interval, contribute predominantly. Conclusion: By employing 2D convolution and artificial neural network-based methods, BLC during exercise can be accurately estimated non-invasively using ECG data, which has potential applications in exercise training.

Prenatal High-Fat Diet Combined with Microplastic Exposure Induces Liver Injury via Oxidative Stress in Male Pups.

Prenatal high-fat diet (HFD) or exposure to microplastics can affect the accumulation of liver fat in offspring. We sought to determine the effects of maternal HFD intake and microplastic exposure on fatty liver injury through oxidative stress in pups. Pregnant female Sprague-Dawley rats were randomly divided into maternal HFD (experimental group) or normal control diet (NCD; control group) groups with or without microplastic exposure. As a result, the following groups were established: HFD-L (HFD + microplastics, 5 µm, 100 µg/L), HFD-H (HFD + microplastics, 5 µm, 1000 µg/L), NCD-L (NCD + microplastics, 5 µm, 100 µg/L), and NCD-H (NCD + microplastics, 5 µm, 1000 µg/L). The pups were sacrificed on postnatal day 7 (PD7). Liver histology revealed increased hepatic lipid accumulation in pups in the HFD-L and HFD-H groups compared to those in the HFD, NCD-L, NCD-H, and NCD groups on PD7. Similarly, liver TUNEL staining and cellular apoptosis were found to increase in pups in the HFD-L and HFD-H groups compared to those in the HFD, NCD-L, NCD-H, and NCD groups. The expression levels of malondialdehyde, a lipid peroxidation marker, were high in the HFD, HFD-L, and HFD-H groups; however, the highest expression was observed in the HFD-H group (p < 0.05). The levels of glutathione peroxidase, an antioxidant enzyme, decreased in the HFD, HFD-L, and HFD-H groups (p < 0.05). Overall, oxidative stress with cellular apoptosis plays a vital role in liver injury in offspring after maternal intake of HFD and exposure to microplastic; such findings may shed light on future therapeutic strategies.

Small-Molecule Analysis Based on DNA Strand Displacement Using a Bacteriorhodopsin Photoelectric Transducer: Taking ATP as an Example.

A uniformly oriented purple membrane (PM) monolayer containing photoactive bacteriorhodopsin has recently been applied as a sensitive photoelectric transducer to assay color proteins and microbes quantitatively. This study extends its application to detecting small molecules, using adenosine triphosphate (ATP) as an example. A reverse detection method is used, which employs AuNPs labeling and specific DNA strand displacement. A PM monolayer-coated electrode is first covalently conjugated with an ATP-specific nucleic acid aptamer and then hybridized with another gold nanoparticle-labeled nucleic acid strand with a sequence that is partially complementary to the ATP aptamer, in order to significantly minimize the photocurrent that is generated by the PM. The resulting ATP-sensing chip restores its photocurrent production in the presence of ATP, and the photocurrent recovers more effectively as the ATP concentration increases. Direct and single-step ATP detection is achieved in 15 min, with detection limits of 5 nM and a dynamic range of 5 nM-0.1 mM. The sensing chip exhibits high selectivity against other ATP analogs and is satisfactorily stable in storage. The ATP-sensing chip is used to assay bacterial populations and achieves a detection limit for Bacillus subtilis and Escherichia coli of 102 and 103 CFU/mL, respectively. The demonstration shows that a variety of small molecules can be simultaneously quantified using PM-based biosensors.

Association between prenatal and neonatal risk factors and development of bronchiolitis in early life.

Bronchiolitis is the most common seasonal viral respiratory disorder in infants. However, risk factors for the development of bronchiolitis, particularly during pregnancy, remain unclear. Methods: A questionnaire was administered to the parents of the hospitalized infants with acute bronchiolitis to obtain information regarding patients' medical, family, and prenatal exposure history. Logistic regression with adjustment was performed to evaluate risk factors associated with bronchiolitis in the infants. Results: Among the enrolled patients, 55 (36.7%) were diagnosed as having bronchiolitis, and the majority (89%) of the patients had moderate-to-severe bronchiolitis. The bronchiolitis group had lower C-reactive protein levels than did the control group. Fewer patients in the bronchiolitis group developed fever. However, hospital stays were longer in the bronchiolitis group than in the control group. Respiratory syncytial virus was the most detected virus (23/26, 88.6%) in the bronchiolitis group. Male sex (odds ratio [OR], 5.71; 95% confidence interval [CI], 2.02-16.12; P < 0.001), antibiotic usage during pregnancy (OR, 27.2; 95% CI, 1.12-660.84; P = 0.04), and viral infection (OR, 49.3; 95% CI, 9.01-270.26; P < 0.001) during the postnatal period were significantly associated with hospitalization for acute bronchiolitis in the infants. By contrast, pet exposure during the perinatal period was significantly and negatively associated with acute bronchiolitis (OR = 0.21, 95% CI = 0.07-0.69, P < 0.01). Conclusion: Environmental exposures during pregnancy may affect respiratory health in offspring, and effective strategies should be developed to prevent bronchiolitis in early life.

A Higher Abundance of Actinomyces spp. in the Gut Is Associated with Spontaneous Preterm Birth.

Preterm birth is a major challenge in pregnancy worldwide. Prematurity is the leading cause of death in infants and may result in severe complications. Nearly half of preterm births are spontaneous, but do not have recognizable causes. This study investigated whether the maternal gut microbiome and associated functional pathways might play a key role in spontaneous preterm birth (sPTB). Two hundred eleven women carrying singleton pregnancies were enrolled in this mother-child cohort study. Fecal samples were freshly collected at 24-28 weeks of gestation before delivery, and the 16S ribosomal RNA gene was sequenced. Microbial diversity and composition, core microbiome, and associated functional pathways were then statistically analyzed. Demographic characteristics were collected using records from the Medical Birth Registry and questionnaires. The result showed that the gut microbiome of mothers with over-weight (BMI ≥ 24) before pregnancy have lower alpha diversity than those with normal BMI before pregnancy. A higher abundance of Actinomyces spp. was filtered out from the Linear discriminant analysis (LDA) effect size (LEfSe), Spearman correlation, and random forest model, and was inversely correlated with gestational age in sPTB. The multivariate regression model showed that the odds ratio of premature delivery was 3.274 [95% confidence interval (CI): 1.349; p = 0.010] in the group with over-weight before pregnancy with a cutoff Hit% > 0.022 for Actinomyces spp. The enrichment of Actinomyces spp. was negatively correlated with glycan biosynthesis and metabolism in sPTB by prediction from the Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) platform. Maternal gut microbiota showing a lower alpha diversity, increased abundance of Actinomyces spp., and dysregulated glycan metabolism may be associated with sPTB risk.

Impact of Protein Binding Capacity and Daily Dosage of a Drug on Total Serum Bilirubin Levels in Susceptible Infants.

Hyperbilirubinemia is a common pathological condition in neonates. Free bilirubin can penetrate the blood-brain barrier (BBB), which can lead to bilirubin neurotoxicity. In the context of predicting the risk of bilirubin neurotoxicity, although the specificity and sensitivity of free bilirubin levels are higher than those of total serum bilirubin (TSB), free bilirubin is not widely monitored in clinical practice. The threshold TSB levels at which phototherapy must be administered have been established previously. However, TSB levels are not well correlated with neurodevelopmental outcomes. Currently, TSB levels are commonly used to guide phototherapy for neonatal hyperbilirubinemia. Some clinical drugs can displace bilirubin from its albumin-binding sites, and consequently upregulate plasma bilirubin. Daily dosages play a vital role in regulating bilirubin levels. A drug with both a high protein binding capacity and high daily dosage significantly increases bilirubin levels in infants. Premature or very low birth weight (VLBW) infants are vulnerable to the upregulation of bilirubin levels as they exhibit the lowest reserve albumin levels and consequently the highest bilirubin toxicity index. Because bilirubin is involved in maintaining the balance between pro-oxidant and antioxidant agents, the downregulation of bilirubin levels is not always desirable. This review provides insights into the impact of protein binding capacity and daily dosage of drugs on the bilirubin levels in susceptible infants.

Analysis of selected sperm samples by a computer-assisted system with high frame rate: A prospective study.

Background and Aims: Due to the rapid motility of the selected sperm, sperm parameters cannot be accurately determined by the manual method. So, the application of a computer-assisted sperm analysis system with a high frame rate (HFR-CASA, 85 Hz) in sperm selection is investigated. Methods: A total of 177 semen samples were collected for sperm selection with density gradient centrifugation. Then, the manual method and HFR-CASA method will be used to observe and analyze the sperm concentration, motility, and percentage of progressively motile sperm (PR) of the selected sperm samples. The quality control of sperm concentration was performed with microballoons. Two selected sperm samples were analyzed 10 times repeatedly to evaluate the accuracy of the HFR-CASA. Results: The results of microballoons analyzed with the HFR-CASA were in control. The coefficients of variation of sperm concentration, motility, and PR from two selected sperm samples were all below 10%. The results of 177 selected sperm samples analyzed by the manual method and HFR-CASA showed that although there were significant positive correlations in sperm concentration, motility, and PR between them (p < 0.001), the manual method significantly underestimated sperm concentration (p = 0.002) but overestimated sperm motility and PR (p < 0.001). When sperm concentration was below 50 × 106/mL, the manual method significantly overestimated sperm concentration (p < 0.05). However, when sperm concentration was more than 100 × 106/mL, the manual method significantly underestimated sperm concentration (p < 0.001). Regardless of sperm concentration, the manual method consistently overestimated sperm motility and PR (p < 0.001). When sperm concentration was more than 20 × 106/mL, there was no correlation in sperm PR between them (p > 0.05). When sperm concentration was below 50 × 106/mL, the correct rate of captured sperm by the HFR-CASA was more than 98%. Conclusion: The HFR-CASA method is more accurate than the manual method in analyzing the selected sperm samples.

Salivary Biomarkers to Differentiate between Streptococcus pneumoniae and Influenza A Virus-Related Pneumonia in Children.

Community-acquired pneumonia (CAP) is common among children and can be fatal in certain conditions. In children, CAP can be caused by viral or bacterial infections. Identification of pathogens can help select appropriate therapeutic strategies. Salivary analysis may be a potential diagnostic tool because it is noninvasive, patient-friendly, and easy to perform in children. A prospective study was conducted in children with pneumonia admitted to a hospital. Salivary samples from patients with definite Streptococcus pneumoniae and influenza A strains were used for gel-free (isobaric tag for relative and absolute quantitation (iTRAQ)) proteomics. No statistically significant difference was detected in salivary CRP levels between Streptococcus pneumoniae and influenza A pneumonia in children. Several potential salivary biomarkers were identified using gel-free iTRAQ proteomics to differentiate pneumonia from Streptococcus pneumoniae or influenza A virus infections in pediatric patients. ELISA validated that Streptococcus pneumoniae group has a higher abundance of salivary alpha 1-antichymotrypsin than those in the influenza A group. Whether these salivary biomarkers can be used to distinguish other bacteria from viral pneumonia requires further verification.

Reprogramming Effects of Postbiotic Butyrate and Propionate on Maternal High-Fructose Diet-Induced Offspring Hypertension.

Maternal nutrition has a key role in the developmental programming of adult disease. Excessive maternal fructose intake contributes to offspring hypertension. Newly discovered evidence supports the idea that early-life gut microbiota are connected to hypertension later in life. Short-chain fatty acids (SCFAs), butyrate, and propionate are microbiota-derived metabolites, also known as postbiotics. The present study aimed to determine whether maternal butyrate or propionate supplementation can protect offspring from hypertension using a maternal high-fructose (HF) diet rat model. Female Sprague Dawley rats were allocated during pregnancy and lactation to (1) regular chow (ND); (2) 60% high-fructose diet (HF); (3) HF diet plus butyrate (HFB, 400 mg/kg/day); and (4) HF diet plus propionate (HFP, 200 mmol/L). Male offspring were sacrificed at 12 weeks of age. The maternal HF diet impaired the offspring's BP, which was prevented by perinatal butyrate or propionate supplementation. Both butyrate and propionate treatments similarly increased plasma concentrations of propionic acid, isobutyric acid, and valeric acid in adult offspring. Butyrate supplementation had a more profound impact on trimethylamine N-oxide metabolism and nitric oxide parameters. Whilst propionate treatment mainly influenced gut microbiota composition, it directly altered the abundance of genera Anaerovorax, Lactobacillus, Macellibacteroides, and Rothia. Our results shed new light on targeting gut microbiota through the use of postbiotics to prevent maternal HF intake-primed hypertension, a finding worthy of clinical translation.

Use of Machine Learning to Differentiate Children With Kawasaki Disease From Other Febrile Children in a Pediatric Emergency Department.

Importance: Early awareness of Kawasaki disease (KD) helps physicians administer appropriate therapy to prevent acquired heart disease in children. However, diagnosing KD is challenging and relies largely on subjective diagnosis criteria. Objective: To develop a prediction model using machine learning with objective parameters to differentiate children with KD from other febrile children. Design, Setting, and Participants: This diagnostic study included 74 641 febrile children younger than 5 years who were recruited from 4 hospitals, including 2 medical centers and 2 regional hospitals, between January 1, 2010, and December 31, 2019. Statistical analysis was performed from October 2021 to February 2023. Main Outcomes and Measures: Demographic data and laboratory values from electronic medical records, including complete blood cell count with differential, urinalysis, and biochemistry, were collected as possible parameters. The primary outcome was whether the febrile children fulfilled the diagnostic criteria of KD. The supervised eXtreme Gradient Boosting (XGBoost) machine learning method was applied to establish a prediction model. The confusion matrix and likelihood ratio were used to evaluate the performance of the prediction model. Results: This study included a total of 1142 patients with KD (mean [SD] age, 1.1 [0.8] years; 687 male patients [60.2%]) and 73 499 febrile children (mean [SD] age, 1.6 [1.4] years; 41 465 male patients [56.4%]) comprising the control group. The KD group was predominantly male (odds ratio, 1.79; 95% CI, 1.55-2.06) with younger age (mean difference, -0.6 years [95% CI, -0.6 to -0.5 years]) compared with the control group. The prediction model's best performance in the testing set was able to achieve 92.5% sensitivity, 97.3% specificity, 34.5% positive predictive value, 99.9% negative predictive value, and a positive likelihood ratio of 34.0, which indicates outstanding performance. The area under the receiver operating characteristic curve of the prediction model was 0.980 (95% CI, 0.974-0.987). Conclusions and Relevance: This diagnostic study suggests that results of objective laboratory tests had the potential to be predictors of KD. Furthermore, these findings suggested that machine learning with XGBoost can help physicians differentiate children with KD from other febrile children in pediatric emergency departments with excellent sensitivity, specificity, and accuracy.

WS2 Transistors with Sulfur Atoms Being Replaced at the Interface: First-Principles Quantum-Transport Study.

Reducing the contact resistance is one of the major challenges in developing transistors based on two-dimensional materials. In this study, we perform first-principles quantum-transport calculations by adopting a novel type of partially sulfur-replaced edge contact metal/WSX/WS2 in order to lower the Schottky barrier height and in turn reduce the contact resistance. Here, the sulfur replacements produce a segment of the metamaterial WSX (X = P, As, F, and Cl), using group V or halogen atoms to substitute sulfur atoms on one side of a WS2 monolayer. We further compare the effects of such sulfur replacements on the interface metallization and bonding. Such WSX-buffered contacts exhibit contact resistances as low as 142 and 173 Ω·µm for the p-type Pt/WSP/WS2 and n-type Ti/WSCl/WS2 edge contacts, respectively. Moreover, ab initio molecular dynamics is employed to observe a stable standalone WSX monolayer at room temperature.