{p=[Background, Spiritual leadership is the most positive leadership style accepted by positive organizational behavior scholars that contributes to psychological capital. Spiritual leadership could be a critical organizational resource for followers. The study aims to examine the levels of spiritual leadership and psychological capital among nursing educators and determine the relationship between spiritual leadership and psychological capital among nurse educators., Methods, A cross-sectional design was applied using two tools: spiritual leadership and psychological capital scales. Over 3 months, data were collected from 213 nursing educators., Results, The spiritual leadership level is moderate to high (49.8 and 38.5%). The psychological capital level is high (63.4%). The association between spiritual leadership and psychological capital is a strong, positive, and highly significant correlation (R-value = 0.63, P  = 0.001). The regression analysis predicted that male participants were expected to have more spiritual leadership and psychological capital than females., Conclusion, It can be concluded and validated how important it is to develop and practice spiritual leadership to foster followers’ psychological capital., Implications of nursing management, as nursing leaders must have spiritual competencies to promote workplace spirituality on the daily agenda as a foundational area in management.], h1=Abstract}

Vision-language models (VLMs) pre-trained on large-scale image-text pairs have demonstrated impressive transferability on various visual tasks. Transferring knowledge from such powerful VLMs is a promising direction for building effective video recognition models. However, current exploration in this field is still limited. We believe that the greatest value of pre-trained VLMs lies in building a bridge between visual and textual domains. In this paper, we propose a novel framework called BIKE, which utilizes the cross-modal bridge to explore bidirectional knowledge: i) We introduce the Video Attribute Association mechanism, which leverages the Video-to-Text knowledge to generate textual auxiliary attributes for complementing video recognition. ii) We also present a Temporal Concept Spotting mechanism that uses the Text-to-Video expertise to capture temporal saliency in a parameter-free manner, leading to enhanced video representation. Extensive studies on six popular video datasets, including Kinetics-400 & 600, UCF-101, HMDB-51, ActivityNet and Charades, show that our method achieves state-of-the-art performance in various recognition scenarios, such as general, zero-shot, and few-shot video recognition. Our best model achieves a state-of-the-art accuracy of 88.6% on the challenging Kinetics-400 using the released CLIP model. The code is available at https://github.com/whwu95/BIKE .

There is widespread debate on whether to anonymize author identities in peer review. The key argument for anonymization is to mitigate bias, whereas arguments against anonymization posit various uses of author identities in the review process. The Innovations in Theoretical Computer Science (ITCS) 2023 conference adopted a middle ground by initially anonymizing the author identities from reviewers, revealing them after the reviewer had submitted their initial reviews, and allowing the reviewer to change their review subsequently. We present an analysis of the reviews pertaining to the identification and use of author identities. Our key findings are: (I) A majority of reviewers self-report not knowing and being unable to guess the authors' identities for the papers they were reviewing. (II) After the initial submission of reviews, only 7% of reviews changed their overall merit score and 3.8% changed their self-reported reviewer expertise. (III) Even among reviews that changed, there was little correlation between the change in overall merit and the rank of the authors' affiliations (Kendall tau b correlation coefficient = 0.09). We also conducted an anonymous survey to obtain opinions from reviewers and authors. The main findings from the 200 survey responses are: (i) A vast majority of participants favor anonymizing author identities in some form. (ii) The "middle-ground" initiative of ITCS 2023 was appreciated. (iii) Detecting conflicts of interest is a challenge that needs to be addressed if author identities are anonymized. Overall, these findings support anonymization of author identities in some form (e.g., as was done in ITCS 2023), as long as there is a robust and efficient way to check conflicts of interest.

{p=[Introduction, Guselkumab, an anti-interleukin-23 biologic therapy, has been shown to significantly reduce disease activity and improve patient-reported outcome measures (PROMs) among patients with moderate-to-severe plaque psoriasis in clinical trials. However, characterization of the real-world effectiveness of guselkumab among patients living in the USA and Canada is warranted., Methods, Patients who participated in the CorEvitas Psoriasis Registry between 18 July 2017 and 10 March 2020 were included if they met the following criteria: Investigator’s Global Assessment (IGA) score ≥ 3 and body surface area (BSA) ≥ 10% (moderate-to-severe psoriasis), initiated guselkumab at a registry (index) visit, and had a registry follow-up visit after 9–12 months of persistent guselkumab therapy. Data were retrieved for baseline patient demographics and disease characteristics, treatment history, disease activity, and PROMs. Outcomes were assessed at index and follow-up visits; response rates and mean changes were calculated., Results, Among 113 patients, mean age was 49.7 years, mean psoriasis duration was 17.5 years, and 65.5% of patients were biologic experienced. At baseline, mean IGA score was 3.3, Psoriasis Area Severity Index (PASI) score was 13.6, and Dermatology Life Quality Index (DLQI) score was 9.6. At follow-up, IGA 0/1, PASI 90, and DLQI 0/1 were achieved by 62.2%, 56.8%, and 54.7% of patients, respectively. Statistically significant improvements were observed in all disease activity scores and PROMs, including the EuroQoL Visual Analogue Scale, Work Productivity and Activity Impairment, Patient Global Assessment, fatigue, skin pain, and itch ( p  < 0.05)., Conclusions, This real-world study showed that patients with moderate-to-severe psoriasis who received 9–12 months of persistent guselkumab therapy experienced improvements in disease severity and PROMs.], h1=Abstract}

{p=Guided by social identity and intergroup theory, we tested how two facets of ethnic-racial identity—felt typicality (perceived similarity to other ingroup members) and ingroup ties (felt closeness to other ingroup members)—potentially buffer the negative effects of outgroup discrimination and ingroup marginalization on self-esteem. Participants included 407 Latinx (65%) and Black (35%) undergraduates ( M _ age  = 24.72 years, 79% women, 21% men) who completed an online survey. Our analyses yielded three key findings. First, both outgroup discrimination and ingroup marginalization predicted lower self-esteem; however, this association was significantly stronger with ingroup marginalization than outgroup discrimination. Second, the association between ingroup marginalization and self-esteem was reduced when ethnic-racial identity variables were controlled. Felt ethnic-racial typicality additionally moderated the association between ingroup marginalization and self-esteem—whereby the negative association was stronger when individuals felt higher ethnic-racial typicality. Our findings expand understanding of the impact of marginalization and discrimination from those within and outside of one’s ethnic-racial group, respectively. We also discuss the differing roles of ethnic-racial identity when experiencing outgroup discrimination and ingroup marginalization., h1=Abstract}

{p=[Background, Non-modifiable risk factors of Alzheimer’s disease (AD) have lifelong effects on cortical integrity that could be mitigated if identified at early stages. However, it remains unknown whether cortical microstructure is affected in older individuals with non-modifiable AD risk factors and whether altered cortical tissue integrity produces abnormalities in brain functional networks in this AD-risk population., Methods, Using relative T1w/T2w (rT1w/T2w) ratio maps, we have compared tissue integrity of normal-appearing cortical GM between controls and cognitively normal older adults with either APOE4 ( N = 50), with a first-degree family history (FH) of AD ( N = 52), or with the co-occurrence of both AD risk factors (APOE4+FH) ( N = 35). Additionally, individuals with only one risk factor (APOE4 or FH) were combined into one group ( N = 102) and compared with controls. The same number of controls matched in age, sex, and years of education was employed for each of these comparisons. Group differences in resting state functional connectivity (rs-FC) patterns were also investigated, using as FC seeds those cortical regions showing significant changes in rT1w/T2w ratios., Results, Overall, individuals with non-modifiable AD risk factors exhibited significant variations in rT1w/T2w ratios compared to controls, being APOE4 and APOE4+FH at opposite ends of a continuum. The co-occurrence of APOE4 and FH was further accompanied by altered patterns of rs-FC., Conclusions, These findings may have practical implications for early detection of cortical abnormalities in older populations with APOE4 and/or FH of AD and open new avenues to monitor changes in cortical tissue integrity associated with non-modifiable AD risk factors.], h1=Abstract}

{p=[Purpose, Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy but can lead to GI toxicity, termed immune-mediated diarrhea and colitis (IMDC). Standardization of IMDC management and early GI consultation is imperative to control symptoms and prevent delays in cancer care. Therefore, we implemented an inpatient algorithm and a focused IOTOX GI service to measure outcomes., Methods, Patients who received ICIs and were hospitalized with severe IMDC were grouped into a pre-interventional cohort in 2017, followed by implementation of the standardized algorithm in 2018, and then a post-interventional cohort of patients in 2019. Clinical data and patient outcomes were compared using univariate and multivariate analysis to determine the morbidity, and overall survival., Results, Our sample comprised 126 hospitalized patients with IMDC, with 59 patients in the pre-interventional 2017 cohort, and 67 patients in the post-interventional 2019 cohort. We found no significant differences in the clinical severity of IMDC symptoms between the two cohorts ( p  = 1.03) or median time from ICI exposure to development of IMDC ( p  = 0.495, respectively). After implementing the standardized algorithm, we observed higher rates of GI consultation ( p  < 0.001) in the post-treatment group. Patients in the post-treatment cohort showed decreased time to clinical remission (4 vs 10 days, p  = 0.046), higher rate of GI follow-up after hospital discharge ( p  = 0.038), fewer hospital re-admissions ( p  = 0.002), and significantly fewer recurrences of IMDC symptoms ( p  = 0.002). Overall survival was significantly higher for at least 2 years in patients who followed with GI post-discharge compared to those without follow-up ( p  = 0.003)., Conclusion, Prompt GI consultation and monitoring of IMDC using a regimented approach can provide efficacious management, decrease time to clinical remission of symptoms, decrease re-admissions to the hospital, and improve overall patient outcomes.], h1=Abstract}

{p=[Objective, To compare HR pattern of vigorous newborns during the first 180 s with early (≤60 s, ECC) or delayed (>60 s, DCC) cord clamping., Study design, Observational study including dry-electrode ECG monitoring of 610 vaginally-born singleton term and late-preterm (≥34 weeks) who were vigorous after birth., Results, 198 received ECC while 412 received DCC with median cord clamping at 37 s and 94 s. Median HR remained stable from 30 to 180 s with DCC (172 and 170 bpm respectively) but increased with ECC (169 and 184 bpm). The proportion with bradycardia was higher among ECC than DCC at 30 s and fell faster in the DCC through 60 s. After adjusting for factors affecting timing of cord clamping, ECC had significant risk of bradycardia compared to DCC (aRR 1.51; 95% CI; 1.01–2.26)., Conclusion, Early heart instability and higher risk of bradycardia with ECC as compared to DCC supports the recommended clinical practice of DCC.], h1=Abstract}

We develop theory and methods that use the graph Laplacian to analyze the geometry of the underlying manifold of point clouds. Our theory provides theoretical guarantees and explicit bounds on the functional form of the graph Laplacian, in the case when it acts on functions defined close to singularities of the underlying manifold. We also propose methods that can be used to estimate these geometric properties of the point cloud, which are based on the theoretical guarantees.

{p=Sepsis-associated encephalopathy (SAE) is a major complication of sepsis and is associated with high mortality and poor long-term prognosis. The purpose of this study is to develop interpretable machine learning models to predict the occurrence of SAE after ICU admission and implement the individual prediction and analysis. Patients with sepsis admitted to ICU were included. SAE was diagnosed as glasgow coma score (GCS) less than 15. Statistical analysis at baseline was performed between SAE and non-SAE. Six machine learning classifiers were employed to predict the occurrence of SAE, and the adjustment of model super parameters was performed by using Bayesian optimization method. Finally, the optimal algorithm was selected according to the prediction efficiency. In addition, professional physicians were invited to evaluate our model prediction results for further quantitative assessment of the model interpretability. The preliminary analysis of variance showed significant differences in the incidence of SAE among patients with pathogen infection. There were significant differences in physical indicators like respiratory rate, temperature, SpO_2 and mean arterial pressure ( P  < 0.001). In addition, the laboratory results were also significantly different. The optimal classification model (XGBoost) indicated that the best risk factors (cut-off points) were creatinine (1.1 mg/dl), mean respiratory rate (18), pH (7.38), age (72), chlorine (101 mmol/L), sodium (138.5 k/ul), SAPSII score (23), platelet count (160), and phosphorus (2.4 and 5.0 mg/dL). The ranked features derived from the best model (AUC is 0.8837) were mechanical ventilation, duration of mechanical ventilation, phosphorus, SOFA score, and vasopressin usage. The SAE risk prediction model based on XGBoost created here can make very accurate predictions using simple indicators and support the visual explanation. The interpretable model was effectively evaluated by professional physicians and can help them predict the occurrence of SAE more intuitively., h1=Abstract}