An ITO-Free Kesterite Solar Cell.

Photovoltaic thin film solar cells based on kesterite Cu2 ZnSn(S, Se)4 (CZTSSe) have reached 13.8% sunlight-to-electricity conversion efficiency. However, this efficiency is still far from the Shockley-Queisser radiative limit and is hindered by the significant deficit in open circuit voltage (VOC ). The presence of high-density interface states between the absorber layer and buffer or window layer leads to the recombination of photogenerated carriers, thereby reducing effective carrier collection. To tackle this issue, a new window structure ZnO/AgNW/ZnO/AgNW (ZAZA) comprising layers of ZnO and silver nanowires (AgNWs) is proposed. This structure offers a simple and low-damage processing method, resulting in improved optoelectronic properties and junction quality. The ZAZA-based devices exhibit enhanced VOC due to the higher built-in voltage (Vbi ) and reduced interface recombination compared to the usual indium tin oxide (ITO) based structures. Additionally, improved carrier collection is demonstrated as a result of the shortened collection paths and the more uniform carrier lifetime distribution. These advances enable the fabrication of the first ITO-free CZTSSe solar cells with over 10% efficiency without an anti-reflective coating.

Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoriasis and Psoriatic Arthritis: A Proof-of-Concept Study.

OBJECTIVE: Psoriatic disease remains underdiagnosed and undertreated. We developed and validated a suite of novel, sensor-based smartphone assessments (Psorcast app) that can be self-administered to measure cutaneous and musculoskeletal signs and symptoms of psoriatic disease. METHODS: Participants with psoriasis (PsO) or psoriatic arthritis (PsA) and healthy controls were recruited between June 5, 2019, and November 10, 2021, at 2 academic medical centers. Concordance and accuracy of digital measures and image-based machine learning models were compared to their analogous clinical measures from trained rheumatologists and dermatologists. RESULTS: Of 104 study participants, 51 (49%) were female and 53 (51%) were male, with a mean age of 42.3 years (SD 12.6). Seventy-nine (76%) participants had PsA, 16 (15.4%) had PsO, and 9 (8.7%) were healthy controls. Digital patient assessment of percent body surface area (BSA) affected with PsO demonstrated very strong concordance (Lin concordance correlation coefficient [CCC] 0.94 [95% CI 0.91-0.96]) with physician-assessed BSA. The in-clinic and remote target plaque physician global assessments showed fair-to-moderate concordance (CCCerythema 0.72 [0.59-0.85]; CCCinduration 0.72 [0.62-0.82]; CCCscaling 0.60 [0.48-0.72]). Machine learning models of hand photos taken by patients accurately identified clinically diagnosed nail PsO with an accuracy of 0.76. The Digital Jar Open assessment categorized physician-assessed upper extremity involvement, considering joint tenderness or enthesitis (AUROC 0.68 [0.47-0.85]). CONCLUSION: The Psorcast digital assessments achieved significant clinical validity, although they require further validation in larger cohorts before use in evidence-based medicine or clinical trial settings. The smartphone software and analysis pipelines from the Psorcast suite are open source and freely available.

Did the COVID-19 Pandemic Affect the Use of Antipsychotics Among Nursing Home Residents With ADRD?

OBJECTIVE: To examine whether and how the COVID-19 pandemic affected the use of antipsychotics among residents with Alzheimer's disease and related dementias in nursing homes. DESIGN: Observational study based on the Minimum Data Set and Medicare claims. SETTING: Medicare- and/or Medicaid-certified nursing homes. PARTICIPANTS: Nursing home residents diagnosed with Alzheimer's disease and related dementias between 2017 and 2020. MEASUREMENTS: The main outcome variable was any antipsychotic use during a quarter. The secondary outcome was certified nursing assistants' staffing hours per bed per day in a quarter. We categorized nursing homes into quartiles based on the distribution of nursing home racial and/or ethnic composition. To explore the relationship between the COVID-19 pandemic and the frequency of antipsychotic use, we estimated a linear probability model with robust standard errors, individual and facility random effects. We used a similar model for certified nursing assistant hours. RESULTS: About 23.7% of residents with ADRD had antipsychotic uses during the study period. The frequency of antipsychotic use declined from 23.7%-23.1% between the first quarter of 2017 (2017Q1) and the first quarter of 2020 (2020Q1) but increased to 24.8% by the last quarter of 2020 (2020Q4). Residents in all four racial and/or ethnic groups experienced an increase in antipsychotic use during the COVID-19 pandemic, but the extent of the increase varied by race and/or ethnicity. For example, while residents in the very-high minority nursing homes experienced a greater increase in antipsychotic use than did the residents of other nursing homes at the beginning of the pandemic, the increasing trend during the pandemic was smaller in the very-high minority nursing homes compared to the low-minority nursing homes (0.2 percentage points less, p<0.001, based on heteroskedasticity-robust t statistics, t = 3.67, df = 8,155,219). On average, the certified nursing assistant hours decreased from 1.8-1.7 hours per bed per day between 2017Q1 and 2020Q1, and further decreased to 1.5 hours per bed per day by 2020Q4. There was also a decreasing trend in staffing hours across all racial and/or ethnic groups during the pandemic. CONCLUSIONS AND RELEVANCE: The COVID-19 pandemic was associated with an increase in the use of antipsychotics among nursing home residents with Alzheimer's disease and related dementias and decreased staffing of certified nursing assistants, especially among nursing homes with a high minority penetration. Future research is needed to explore means for reducing antipsychotic use, particularly in homes with a high penetration of minority residents.

Environmental and occupational exposure to cadmium associated with male reproductive health risk: a systematic review and meta-analysis based on epidemiological evidence.

There is an abundance of epidemiological evidence and animal experiments concerning the correlation between cadmium exposure and adverse male reproductive health outcomes. However, the evidence remains inconclusive. We conducted a literature search from PubMed, Embase, and Web of Science over the past 3 decades. Pooled r and 95% confidence intervals (CIs) were derived from Cd levels of the type of biological materials and different outcome indicators to address the large heterogeneity of existing literature. Cd was negatively correlated with semen parameters (r = - 0.122, 95% CI - 0.151 to - 0.092) and positively correlated with sera sex hormones (r = 0.104, 95% CI 0.060 to 0.147). Among them, Cd in three different biological materials (blood, semen, and urine) was negatively correlated with semen parameters, while among sex hormones, only blood and urine were statistically positively correlated. In subgroup analysis, blood Cd was negatively correlated with semen density, sperm motility, sperm morphology, and sperm count. Semen Cd was negatively correlated with semen concentration. As for serum sex hormones, blood Cd had no statistical significance with three hormones, while semen Cd was negatively correlated with testosterone. In summary, cadmium exposure might be associated with the risk of a decline in sperm quality and abnormal levels of sex hormones.

Epidemiology of maxillofacial fractures in northwest China: an 11-year retrospective study of 2240 patients.

BACKGROUND: The aim of this study was to determine the epidemiological pattern of maxillofacial fractures in northwestern China by retrospectively analysing the demographics, aetiologies, concomitant injuries, fracture sites, and management. METHODS: A 10-year retrospective analysis of 2240 patients with maxillofacial fractures admitted to the General Hospital of Ningxia Medical University was conducted. The extracted data included sex, age, aetiology, fracture site, concomitant injuries, time of treatment, therapeutic approaches and complications. Statistical analyses were performed, including descriptive analysis and the chi-square test. Logistic regression was used to determine the impact factors of maxillofacial fractures and concomitant injuries. P values < 0.05 were considered statistically significant. RESULTS: The age of the included patients ranged from 1 to 85 years, and the mean age was 35.88 ± 15.69 years. The male-to-female ratio was 3.9:1. The most frequent aetiology of maxillofacial fractures was road traffic accidents (RTAs) (56.3%), and the most common fracture sites were the anterior wall of the maxillary sinus, arcus zygomaticus and mandibular body. A total of 1147 patients (51.2%) were affected by concomitant injuries, with craniocerebral injury being the most common. Logistic regression analyses revealed increased risks of mid-facial fractures in elderly individuals (odds ratio (OR) = 1.029, P < 0.001) and females (OR = 0.719, P = 0.005). Younger patients had a higher risk of mandibular fractures (OR = 0.973, P < 0.001). RTAs increased the risk for mid-facial fractures and high falls increased the risk for mandibular fractures. CONCLUSIONS: The maxillofacial fracture pattern is correlated with sex, age and aetiology. Patients were mainly young and middle-aged males, and the main cause of injury was RTAs, mostly causing compound fractures. Medical staff must be systematically educated to comprehensively examine patients with injuries resulting from RTAs. The management of patients with fractures requires thorough consideration of the patient's age, aetiology, fracture site, and concomitant injuries.

Did Minimum Wage Policy Changes Impact Home Health Workforce?

The shortage of home health aides has been exacerbated in recent years partially because of low wages. Minimum wage (MW) policy changes may alleviate this workforce shortage. This study examined the effects of MW policies on wages and employment of home health aides. We performed a county-level longitudinal analysis using 2012 to 2018 national data. The study cohort included 2,496 counties and focused on all workers in the home health industry. Outcome variables included wages and the employment of home health aides. Key variables of interest included the consumer price index adjusted state MW and a set of variables that captured the effect of the Fair Labor Standards Act (FLSA) extension. This study found that home health aides' hourly wages were $1.00 higher (p = .011) in states that increased their MWs from below $8 to above $10. The FLSA extension was associated with $1.15 higher wages in states with higher MWs (i.e., state MW above $10 in 2014). The FLSA extension was associated with higher employment of home health aides in less-competitive markets, rather than high- or average-competitive markets. This study suggests that state MW increases combined with the FLSA extension may help maintain the current home health workforce and improve their wages.

Recombinant human thrombopoietin increases platelet count in severe thrombocytopenic patients with hepatitis B-related cirrhosis: Multicentre real-world observational study.

Patients with hepatitis B-related cirrhosis complicated with thrombocytopenia have a higher risk of bleeding, which may lead to higher mortality. We aimed to explore the efficacy and safety of recombinant human thrombopoietin (rhTPO) in the treatment of hepatitis B-related cirrhosis complicated with severe thrombocytopenia. Patients with hepatitis B-related compensated liver cirrhosis complicated with severe thrombocytopenia were divided into four groups according to the treatment method for thrombocytopenia. Platelet counts, the appearance of bleeding symptoms and adverse events were evaluated during the observation period. Also during the observational period, the platelet counts in the prednisone group, rhTPO group and prednisone plus rhTPO group were higher than those in the no treatment group. Patients without splenomegaly reacted better to rhTPO. Fewer bleeding events of grade 2 or worse were observed in the three treatment groups compared to the no treatment group. The platelet counts at baseline and treatment with rhTPO and/or prednisone were factors associated with bleeding events of grade 2 or worse in multivariate analysis. There could be a potential advantage for the use of rhTPO plus prednisone based on higher platelet counts and fewer bleeding events. Treatment with rhTPO was more effective in patients without splenomegaly.

The Diagnosis of Schizophrenia Among Nursing Home Residents With ADRD: Does Race Matter?

OBJECTIVE: To examine racial differences in the frequency of schizophrenia diagnosis codes used among nursing home (NH) residents with Alzheimer's Disease and Related Dementias (ADRD), pre and post the implementation of public reporting of antipsychotic use in NHs. METHODS: The 2011-2017 Minimum Data Set and Medicare Master Beneficiary Summary File were linked. We identified long-stay NH residents (i.e., those who had quarterly or annual assessments) with ADRD aged 55 years and older (N = 7,734,348). Outcome variable was defined as the diagnosis of schizophrenia documented in the MDS assessments. Main variables of interest included individual race (black versus white), the percent of blacks in a NH and time trend. Multivariate regressions were estimated. RESULTS: The frequency of schizophrenia diagnosis codes among NH residents with ADRD steadily increased over the study period, and blacks experienced a greater increase than their white counterparts. For example, the overall likelihood of having schizophrenia diagnosis increased 1.9 percentage points (95% confidence interval [CI]: 0.019, 0.020, p < 0.01) from 2011 to 2017 among whites, while blacks had an addition 1.3 percentage points increase (95% CI: 0.011, 0.015, p < 0.01). The increase in the likelihood of having schizophrenia diagnosis code was higher in NHs with higher percent of blacks: the increase from 2011 to 2017 was 2.6 percentage point (95% CI: 0.023, 0.029, p < 0.01) higher in NHs with the highest percent of blacks, compared to NHs with lowest percent of blacks. Racial differences in the growth of schizophrenia diagnosis also existed within a NH after accounting for NH factors. CONCLUSION: Following the implementation of public reporting of antipsychotic use in NH, black residents experienced a greater increase in the likelihood of having schizophrenia diagnosis than white NH residents. NHs with a higher proportion of blacks had a greater increase in schizophrenia diagnosis, and blacks experienced an increased likelihood of schizophrenia diagnosis than whites within a NH. Further research is needed to determine a causal relationship between the federal policy mandating public reporting and disparities in schizophrenia diagnostic coding.

Using previously registered cone beam computerized tomography images to facilitate online computerized tomography to cone beam computerized tomography image registration in lung stereotactic body radiation therapy.

PURPOSE: In our conventional image registration workflow, the four-dimensional (4D) CBCT was directly registered to the reference helical CT (HCT) using a dual registration approach within the Elekta XVI software. In this study, we proposed a new HCT-CBCT auto-registration strategy using a previously registered CBCT (CBCTpre) as the reference image and tested its clinical feasibility. METHODS: From a previous CBCT session, the registered average 4D CBCT was selected as CBCTpre and the HCT-CBCTpre registration vector from the clinician's manual registration result was recorded. In the new CBCT session, auto-registration was performed between the new average 4D CBCT (CBCTtx) and CBCTpre (CBCTpre-CBCTtx). The overall HCT-CBCTtx registration result was then derived by combing the results from two registrations (i.e., HCT-CBCTpre + CBCTpre-CBCTtx). The results from the proposed method were compared with clinician's manually adjusted HCT-CBCTtx registration results ("ground truth") to evaluate its accuracy using a test dataset consisting of 32 challenging registration cases. RESULTS: The uncertainty of the proposed auto-registration method was -0.1 ± 0.5, 0.1 ± 1.0, and -0.1 ± 0.7 mm in three translational directions (lateral, longitudinal, and vertical) and 0.0° ± 0.9°, 0.3° ± 0.9°, and 0.4° ± 0.7° in three rotation directions, respectively. Two patients (6.3%) had translational uncertainty > 2 mm (max = 3.1 mm) and both occurred in the longitudinal direction. Meanwhile, the uncertainty of the conventional direct HCT-CBCTtx auto-registration was -0.4 ± 2.6, -0.2 ± 7.4, -1.4 ± 3.6 mm for translations and -0.3° ± 1.2°, 0.0° ± 1.6°, and 0.1 ± 1.1° for rotations. Eleven patients (34.4%) had translation uncertainty > 2 mm (max = 26.2 mm) in at least one direction. Accuracy in translation was improved with the new method, while rotation accuracy stayed in the same order. CONCLUSION: We demonstrated the feasibility of incorporating prior clinical registration knowledge into the online HCT-CBCT registration process. The proposed auto-registration method provides a quick and reliable starting solution for online HCT-CBCT registration.

Using drawing and situated learning to teach transitional care to post-graduate residents.

BACKGROUND: The "draw-and-talk" technique has become popular in medical training, as it can help healthcare practitioners develop empathic understanding of patients and contribute to personal transformation. We adopted this method to make the teaching of transitional care planning more relevant to post-graduate residents undergoing their internal medicine training at a medical center in Taiwan. METHODS: Before the conventional lecture on discharge planning, trainees were invited to draw their "home" and "life as older adults" and share their drawings with others. Subsequently, they were guided to consider whether their home would be livable if they either had a disability or were old. The drawings and narratives were analyzed thematically, and feedback on the session was collected. RESULTS: Trainees were initially of the opinion that they did not have any role in discharge planning. However, the emphasis on the self-experience of drawing and the thematic use of "home" and "elderly life" led to reflective discussions about post-discharge care. The session provoked constructive self-reflection and meta-cognitive awareness and encouraged residents to actively participate in transition care plans. Response to the draw-and-talk session was overwhelmingly favorable. CONCLUSIONS: Post-graduate residents in Taiwan conventionally do not have much interest or autonomy regarding their patients' lives outside the hospital. The use of drawing and reflection is a simple and inexpensive method to contextualize discharge planning in participants' real lives, engage them in actively visualizing the healthcare needs of older adults and patients with disability, and initiate thinking about the impact of discharge preparations, follow-up care, and barriers to care at home. Draw-and-talk might be helpful in improving residents' knowledge and empathy toward patients preparing for discharge, which is crucial for the quality of transitional care.

Developing an innovative medical ethics and law curriculum-constructing a situation-based, interdisciplinary, court-based learning course: a mixed methods study.

BACKGROUND: Traditional lecture-based medical ethics and law courses deliver knowledge but may not improve students' learning motivation. To bridge this theory-to-practice gap and facilitate students' learning effectiveness, we applied situated-learning theory to design an interdisciplinary court-based learning (CBL) component within the curriculum. Our study aimed to investigate students' learning feedbacks and propose a creative course design. METHODS: A total of 135 fourth-year medical students participated in this course. The CBL component included 1 h of introduction, 1 h of court attendance, and 2 h of interdisciplinary discussion with senior physicians, judges, and prosecutors. After the class, we conducted a survey using a mixed-methods approach to gauge students' perceptions of engagement, performance, and satisfaction. RESULTS: A total of 97 questionnaires were received (72% response rate). Over 70% of respondents were satisfied and felt that the class was useful except for role-playing activities (60%). More than 60% reported a better understanding of the practical applications of medical law. Approximately half (54%) reported less anxiety about medical disputes. 73% reported that the lecture provided awareness of potential medical disputes, and most respondents expressed an interest in medical law courses after the court visit (78%). 80% of the respondents were able to display empathy and apply mediation skills. Qualitative analyses showed that students demonstrated new knowledge, including recognizing the significance of the medical profession, distinguishing the importance of physician-patient communication, having confidence in the fairness of the justice system, and being willing to increase their legal knowledge. CONCLUSIONS: CBL curriculum increases students' learning motivation in strengthening medical professionalism and medical law, develops students' empathy for patients and communication skills, as well as builds up students' trust in the justice system. This novel course design can be applied to teach medical ethics and law.

Exogenous Melatonin Improves Seed Germination of Wheat (Triticum aestivum L.) under Salt Stress.

Melatonin (MT) can effectively reduce oxidative damage induced by abiotic stresses such as salt in plants. However, the effects of MT on physiological responses and molecular regulation during wheat germination remains largely elusive. In this study, the response of wheat seeds to MT under salt stress during germination was investigated at physiological and transcriptome levels. Our results revealed that application of MT significantly reduced the negative influence of salt stress on wheat seed germination. The oxidative load was reduced by inducing high activities of antioxidant enzymes. In parallel, the content of gibberellin A3 (GA3) and jasmonic acid (JA) increased in MT-treated seedling. RNA-seq analysis demonstrated that MT alters oxidoreductase activity and phytohormone-dependent signal transduction pathways under salt stress. Weighted correlation network analysis (WGCNA) revealed that MT participates in enhanced energy metabolism and protected seeds via maintained cell morphology under salt stress during wheat seed germination. Our findings provide a conceptual basis of the MT-mediated regulatory mechanism in plant adaptation to salt stress, and identify the potential candidate genes for salt-tolerant wheat molecular breeding.

Selection strategy of dextran sulfate sodium-induced acute or chronic colitis mouse models based on gut microbial profile.

BACKGROUND: Dextran sulfate sodium (DSS) replicates ulcerative colitis (UC)-like colitis in murine models. However, the microbial characteristics of DSS-triggered colitis require further clarification. To analyze the changes in gut microbiota associated with DSS-induced acute and chronic colitis. METHODS: Acute colitis was induced in mice by administering 3% DSS for 1 week in the drinking water, and chronic colitis was induced by supplementing drinking water with 2.5% DSS every other week for 5 weeks. Control groups received the same drinking water without DSS supplementation. The histopathological score and length of the colons, and disease activity index (DAI) were evaluated to confirm the presence of experimental colitis. Intestinal microbiota was profiled by 16S rDNA sequencing of cecal content. RESULTS: Mice with both acute and chronic DSS-triggered colitis had significantly higher DAI and colon histopathological scores in contrast to the control groups (P < 0.0001, P < 0.0001), and the colon was remarkably shortened (P < 0.0001, P < 0.0001). The gut microbiota α-diversity was partly downregulated in both acute and chronic colitis groups in contrast to their respective control groups (Pielou index P = 0.0022, P = 0.0649; Shannon index P = 0.0022, P = 0.0931). The reduction in the Pielou and Shannon indices were more obvious in mice with acute colitis (P = 0.0022, P = 0.0043). The relative abundance of Bacteroides and Turicibacter was increased (all P < 0.05), while that of Lachnospiraceae, Ruminococcaceae, Ruminiclostridium, Rikenella, Alistipes, Alloprevotella, and Butyricicoccus was significantly decreased after acute DSS induction (all P < 0.05). The relative abundance of Bacteroides, Akkermansia, Helicobacter, Parabacteroides, Erysipelatoclostridium, Turicibacter and Romboutsia was also markedly increased (all P < 0.05), and that of Lachnospiraceae_NK4A136_group, Alistipes, Enterorhabdus, Prevotellaceae_UCG-001, Butyricicoccus, Ruminiclostridium_6, Muribaculum, Ruminococcaceae_NK4A214_group, Family_XIII_UCG-001 and Flavonifractor was significantly decreased after chronic DSS induction (all P < 0.05). CONCLUSION: DSS-induced acute and chronic colitis demonstrated similar symptoms and histopathological changes. The changes in the gut microbiota of the acute colitis model were closer to that observed in UC. The acute colitis model had greater abundance of SCFAs-producing bacteria and lower α-diversity compared to the chronic colitis model.

Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting.

BACKGROUND: Identification of hot spots in protein-DNA interfaces provides crucial information for the research on protein-DNA interaction and drug design. As experimental methods for determining hot spots are time-consuming, labor-intensive and expensive, there is a need for developing reliable computational method to predict hot spots on a large scale. RESULTS: Here, we proposed a new method named sxPDH based on supervised isometric feature mapping (S-ISOMAP) and extreme gradient boosting (XGBoost) to predict hot spots in protein-DNA complexes. We obtained 114 features from a combination of the protein sequence, structure, network and solvent accessible information, and systematically assessed various feature selection methods and feature dimensionality reduction methods based on manifold learning. The results show that the S-ISOMAP method is superior to other feature selection or manifold learning methods. XGBoost was then used to develop hot spots prediction model sxPDH based on the three dimensionality-reduced features obtained from S-ISOMAP. CONCLUSION: Our method sxPDH boosts prediction performance using S-ISOMAP and XGBoost. The AUC of the model is 0.773, and the F1 score is 0.713. Experimental results on benchmark dataset indicate that sxPDH can achieve generally better performance in predicting hot spots compared to the state-of-the-art methods.

A novel energy sequence optimization algorithm for efficient spot-scanning proton arc (SPArc) treatment delivery.

BACKGROUND: Spot-scanning proton arc therapy (SPArc) has been proposed to improve dosimetric outcome and to simplify treatment workflow. To efficiently deliver a SPArc plan, it's crucial to minimize the number of energy layer switches (ELS) a sending because of the magnetic hysteresis effect. In this study, we introduced a new SPArc energy sequence optimization algorithm (SPArc_seq) to reduce ascended ELS and to investigate its impact on the beam delivery time (BDT). METHOD AND MATERIALS: An iterative energy layer sorting and re-distribution mechanism following the direction of the gantry rotation was implemented in the original SPArc algorithm (SPArc_orig). Five disease sites, including prostate, lung, brain, head neck cancer (HNC) and breast cancer were selected to evaluate this new algorithm. Dose-volume histogram (DVH) and plan robustness were used to assess the plan quality for both SPArc_seq and SPArc_orig plans. The BDT evaluations were analyzed through two methods: 1. fixed gantry angle delivery (BDTfixed) and 2. An in-house dynamic arc scanning controller simulation which considered of gantry rotation speed, acceleration and deceleration (BDTarc). RESULTS: With a similar total number of energy layers, SPArc_seq plans provided a similar nominal plan quality and plan robustness compared to SPArc_orig plans. SPArc_seq significantly reduced the number of ascended ELS by 83% (19 vs.115), 70% (16 vs. 64), 82% (19 vs. 104), 80% (19 vs. 94) and 70% (9 vs. 30), which effectively shortened the BDTfixed by 65% (386 vs. 1091 s), 61% (235 vs. 609 s), 64% (336 vs. 928 s), 48% (787 vs.1521 s) and 25% (384 vs. 511 s) and shortened BDTarc by 54% (522 vs.1128 s), 52% (310 vs.645 s), 53% (443 vs. 951 s), 49% (803 vs.1583 s) and 26% (398 vs. 534 s) in prostate, lung, brain, HNC and breast cancer, respectively. CONCLUSIONS: The SPArc_seq optimization algorithm could effectively reduce the BDT compared to the original SPArc algorithm. The improved efficiency of the SPArc_seq algorithm has the potential to increase patient throughput, thereby reducing the operation cost of proton therapy.

Histologic comparison of tumor necrosis factor-α inhibitor-induced psoriasis and psoriasis vulgaris.

BACKGROUND: Tumor necrosis factor-α inhibitor (TNFi)-induced psoriasis is a paradoxic reaction characterized by the development of a psoriasiform rash that mimics idiopathic psoriasis subtypes both clinically and histologically. Few studies have investigated the histologic features of TNFi-induced psoriasis skin lesions, and most of these are limited by inclusion of few specimens. OBJECTIVE: We aimed to characterize histologic features of TNFi-induced psoriasis and identify histologic differences between TNFi-induced psoriasis and idiopathic psoriasis. METHODS: We characterized 60 biopsy specimens obtained from 47 unique patients at a single tertiary care referral center between 2004 and 2016 who developed TNFi-induced psoriasis, and we compared histologic features to those of 85 biopsy specimens from a control group of 85 patients with idiopathic psoriasis. RESULTS: The most common histologic reaction pattern in TNFi-induced psoriasis biopsy specimens was psoriasiform (80.0%). Five histologic parameters were significantly different in TNFi-induced psoriasis biopsy specimens compared with idiopathic psoriasis biopsy specimens: at least 3 dermal eosinophils per histologic section, neutrophils in the stratum corneum, neutrophils in the epidermis, papillary plate thinning, and absence of parakeratosis. LIMITATIONS: Inability to exclude lesion selection bias as a potential reason for some significant histologic differences. CONCLUSIONS: This study supports the idea that histologic differences exist between TNFi-induced psoriasis and idiopathic psoriasis may help distinguish between these conditions, especially for dermal eosinophil counts of 3 or greater.

TNF-α inhibitor-induced psoriasis: A decade of experience at the Cleveland Clinic.

BACKGROUND: Tumor necrosis factor-α (TNF-α) inhibitor (TNFI)-induced psoriasis remains poorly understood despite having been described 15 years ago. As TNFIs often provide life-changing patient benefits, understanding effective treatments for TNFI-induced psoriasis is important. OBJECTIVE: We characterized a cohort of patients with TNFI-induced psoriasis whose psoriasis was specifically diagnosed and managed or comanaged by dermatologists at a single tertiary care institution over a 10-year period. METHODS: Retrospective review of patients in whom TNFI-induced psoriasis was diagnosed between 2003 and 2013. RESULTS: A total of 102 patients with TNFI-induced psoriasis were identified. The mean age of onset was 40 years, and there was a female predominance (73.5%). Crohn's disease (in 48% of cases) and rheumatoid arthritis (in 24.5% of cases) were the most common primary conditions. Infliximab (in 52% of cases) was the most common inciting agent. The most common TNFI-induced psoriasis subtypes were plaque-type psoriasis (49.5%), scalp psoriasis (47.5%), and palmoplantar pustulosis (41%). Topical medications alone improved or resolved TNFI-induced psoriasis in 63.5% of patients, and cyclosporine and methotrexate (>10 mg weekly) were often effective if topicals failed. Discontinuation of the inciting TNFI with or without other interventions improved or resolved TNFI-induced psoriasis in 67% of refractory cases, whereas switching TNFIs resulted in persistence or recurrence in 64%. LIMITATIONS: Retrospective nature of the study and the fact that some patients may have developed typical psoriasis unresponsive to TNFIs. CONCLUSION: Our study cohort represents the largest single-institution cohort of patients with TNFI-induced psoriasis diagnosed and managed or comanaged by dermatologists to date. On the basis of our findings, we propose a treatment algorithm for TNFI-induced psoriasis.

Hepatitis E virus infection after haploidentical haematopoietic stem cell transplantation: incidence and clinical course.

Hepatitis E virus (HEV) is increasingly found to cause hepatitis in allogeneic haematopoietic stem cell transplantation (HSCT) patients. However, little is known about HEV infection in patients receiving haploidentical HSCT (haplo-HSCT). Here, we retrospectively evaluate the incidence and clinical course of HEV infection in haplo-HSCT patients. From January 2014 to July 2017, 177 patients with unexplained elevated transaminases after receiving haplo-HSCT at Peking University Institute of Haematology were screened for HEV using HEV serology. HEV RNA was assessed in blood samples when HEV-IgG and/or IgM antibodies were positive. Acute HEV infection was identified in 7 patients (3·9%), 1 of whom had developed a chronic HEV infection. The median time from haplo-HSCT to HEV infection was 17·5 (range, 6-55) months. HEV infection was confirmed by the presentation of anti-HEV IgM + anti-HEV IgG (rising) (n = 5) or HEV-RNA + anti-HEV IgM + anti-HEV IgG (n = 2). None of the patients died of HEV infection directly: 2 patients with HEV infection died showing signs of ongoing hepatitis, and 5 patients cleared HEV with a median duration of HEV infection of 1·5 (range, 1·0-5·7) months. In conclusion, HEV infection is a rare but serious complication after haplo-HSCT. We recommend screening of HEV in haplo-HSCT.

Fiber-Enhanced Raman Gas Spectroscopy for 18O-13C-Labeling Experiments.

Stable isotopes are used in ecology to track and disentangle different processes and pathways. Especially for studies focused on the gas exchange of plants, sensing techniques that offer oxygen (O2) and carbon dioxide (CO2) sensitivity with isotopic discrimination are highly sought after. Addressing this challenge, fiber-enhanced Raman gas spectroscopy is introduced as a fast optical technique directly combining 13CO2 and 12CO2 as well as 18O2 and 16O2 measurements in one instrument. We demonstrate how a new type of optical hollow-core fiber, the so-called revolver fiber, is utilized for enhanced Raman gas sensing. Carbon dioxide and oxygen isotopologues were measured at concentrations expected when using 13C- and 18O-labeled gases in plant experiments. Limits of detection have been determined to be 25 ppm for CO2 and 150 ppm for O2. The combination of measurements with different integration times allows the creation of highly resolved broadband spectra. With the help of calculations based on density functional theory, the line at 1512 cm-1 occurring in the oxygen spectrum is assigned to 18O16O. The relative abundances of the isotopologues 18O16O and nitrogen 15N14N were in good agreement with typical values. For CO2, fiber-enhanced Raman spectra show the Fermi diad and hotbands of 12C16O2, 13C16O2, and 12C18O16O. Several weak lines were observed, and the line at 1426 cm-1 was identified as originating from the (0 4 0 2) → (0 2 0 2) transition of 12C16O2. With the demonstrated sensitivity and discriminatory power, fiber-enhanced Raman spectroscopy is a possible alternative means to investigate plant metabolism, directly combining 13CO2 and 12CO2 measurements with 18O2 and 16O2 measurements in one instrument. The presented method thus has large potential for basic analytical investigations as well as for applications in the environmental sciences.

Improving dosimetric outcome for hippocampus and cochlea sparing whole brain radiotherapy using spot-scanning proton arc therapy.

This feasibility study shows that Spot-scanning Proton Arc therapy (SPArc) is able to significantly reduce the dose to the hippocampus and cochlea compared to both Volumetric Modulated Arc Photon Therapy (VMAT) and the robust optimized Intensity Modulated Proton Therapy (ro-IMPT) plans in whole brain radiotherapy. Furthermore, SPArc not only improves plan robustness but could potentially deliver a treatment as efficient as ro-IMPT when proton system's energy layer switch time is less than 1 s.