bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID and depression among stratified population groups: a narrative review
Authors: Charul  , Raina Jyotdeep K. , Sharma Sourabh , Pal Shash , Dogra Vikas , Kumar Parvinder , Panjaliya Rakesh K. 
Published: August 2023

AbstractThe Covid-19 pandemic has impacted and infiltrated every aspect of our lives. Successive lockdowns, social distancing measures, and reduction in economic activity have developed a new way of living and, in many cases, tend to lead to depression. The initial strict lockdown for about 3 months and eventually for a few more months has imposed greater challenges on children and adolescents in terms of psychological problems and psychiatric disorders. Regardless of their viral infection status, many people have been affected by the psychosocial changes associated with the Covid-19 pandemic. In the present review, we have attempted to evaluate the impact of COVID on the mental health of people from different age groups and occupations. The present review has highlighted the need for taking effective measures by the stakeholder to cope with depression among human population groups worldwide.
Differences among feminist and non-feminist women on weight bias internalization, body image, and disordered eating
Authors: Martin-Wagar Caitlin A. , Attaway Sarah E. , Melcher Katelyn A. 
Published: August 2023

Abstract
Background
Research yields mixed results on whether feminist beliefs or self-identification are protective against body image disturbance and eating pathology in non-clinical populations. Further, no studies have examined feminism among those with diagnosed eating disorders. Additionally, previous studies have not examined the relationship between feminist identity and weight stigma. This study investigated these relationships and if there are differences in body image, eating pathology, and weight stigma among feminist identity types in women with eating disorders and college women using ANCOVAs.

Methods
Participants completed self-report measures and were women with eating disorders (N = 100) and college women (N = 240).

Results
Sixty-four percent of the women with eating disorders and 75.8% of the college women identified as a feminist. An independent samples t-test found a significantly higher weight bias internalization in the clinical eating disorder sample than in the college women sample. No significant interactions were found between sample type and feminist identity for body image or weight bias internalization. Results were consistent when using a dichotomous feminist identity item and a seven-item continuous feminist identity item.

Conclusions
Despite the clear impacts of the intersection of weight status and gender, results from this study suggest that identifying as a feminist is not sufficient to combate weight stigma. Findings highlight the need for further research investigating weight bias internalization within eating disorder prevention efforts and interventions.
The impact of negative and positive affectivity on the relationship between work-related psychological factors and work engagement in Japanese workers: a comparison of psychological distress
Authors: Fukuzaki Toshiki , Iwata Noboru 
Published: August 2023

Abstract
Background
A previous study has shown that Japanese individuals generally exhibit behavior that suppresses the expression of positive emotions, which are strongly affected by affectivity traits. In the present study, to clarify the relationship between affectivity traits and work engagement (WE) or work-related psychosocial factors among Japanese workers, we compared it to the association between psychological distress and these same factors.

Methods
A total of 1,000 full-time Japanese regular workers responded to an online survey that measured demographic variables, negative and positive affectivity, job demands and resources, WE, and psychological distress. A hierarchical multiple regression analysis was conducted separately, which used WE and psychological distress as dependent variables.

Results
The proportion of variance explained by negative and positive affectivity was lower for WE than for psychological distress. However, the proportion of variance defined by job demands and resources was higher for WE than for psychological distress. The proportion of variance explained by all variables for negative and positive affectivity and job demands and resources, and their interactions was approximately equal for WE and psychological distress.

Conclusion
These results emphasize when researchers aim to evaluate the change of psychosocial factors in the workplace, such as improving the workplace environment among Japanese workers, it might be beneficial to measure positive indicators in addition to negative indicators. Furthermore, enriching job resources would be effective in improving WE and alleviating psychological distress.
Impact of organic fertilization by the digestate from by-product on growth, yield and fruit quality of tomato (Solanum lycopersicon) and soil properties under greenhouse and field conditions
Authors: Li Faqinwei , Yuan Yongheng , Shimizu Naoto , Magaña Jorge , Gong Pengxuan , Na Risu 
Published: August 2023

Abstract
Background
The application of organic fertilizer is a sustainable approach to maintain soil fertility in agricultural crop production. In contrast to other organic fertilizers, the digestate from by-products of anaerobic digestion has not been well characterized in terms of its agronomic properties. In this study, different fertilization treatments were investigated to evaluate their impacts on growth, yield and fruit quality of tomatoes and on soil properties under greenhouse and field conditions. The experiments comprised a control (unfertilized) and three treatments with the same nitrogen dose: chemical fertilizer, digestate from by-product (organic fertilizer) and digestate combined with chemical fertilizer.

Results
The results showed that the application of digestate significantly increased the growth and fruit quality of tomato including height, stem diameter, leaf chlorophyll content index, and photosynthetic rate of tomato plant and sugar–acid ratio, protein content, and ascorbic acid content of the fruit. The nitrate contents in tomato fruit were lower in the digestate treatment and digestate combined with chemical fertilizer treatment than in the chemical fertilizer. The digestate combined with chemical fertilization resulted in the greatest increase in tomato yield, up to 26.29% and 10.78% higher than that in the chemical fertilizer treatment under field and greenhouse conditions, respectively. Moreover, fertilization with digestate treatment and digestate combined with chemical fertilizer treatment increased soil fertility, including soil nitrogen and carbon contents, and enhanced soil enzyme activities under both field and greenhouse conditions. In addition, the growth, yield, and fruit quality of tomato were significantly correlated with soil chemical characteristics and soil enzyme activities.

Conclusions
The effects of digestate treatments to maintain a stable tomato yield and improve fruit quality may be due to the enhanced soil enzymatic activities and chemical properties. These results suggest that the use of digestate as a full or partial replacement for chemical fertilizer could improve the growth and fruit quality of tomato, maintain the yield, and reduce the use of inorganic fertilizers in tomato production.

Graphical Abstract
Impact of the fungal pathogen Fusarium oxysporum on the taxonomic and functional diversity of the common bean root microbiome
Authors: Mendes Lucas William , Raaijmakers Jos M , de Hollander Mattias , Sepo Edis , Gómez Expósito Ruth , Chiorato Alisson Fernando , Mendes Rodrigo , Tsai Siu Mui , Carrión Victor J 
Published: August 2023

Abstract
Background
Plants rely on their root microbiome as the first line of defense against soil-borne fungal pathogens. The abundance and activities of beneficial root microbial taxa at the time prior to and during fungal infection are key to their protective success. If and how invading fungal root pathogens can disrupt microbiome assembly and gene expression is still largely unknown. Here, we investigated the impact of the fungal pathogen Fusarium oxysporum (fox) on the assembly of rhizosphere and endosphere microbiomes of a fox-susceptible and fox-resistant common bean cultivar.

Results
Integration of 16S-amplicon, shotgun metagenome as well as metatranscriptome sequencing with community ecology analysis showed that fox infections significantly changed the composition and gene expression of the root microbiome in a cultivar-dependent manner. More specifically, fox infection led to increased microbial diversity, network complexity, and a higher proportion of the genera Flavobacterium, Bacillus, and Dyadobacter in the rhizosphere of the fox-resistant cultivar compared to the fox-susceptible cultivar. In the endosphere, root infection also led to changes in community assembly, with a higher abundance of the genera Sinorhizobium and Ensifer in the fox-resistant cultivar. Metagenome and metatranscriptome analyses further revealed the enrichment of terpene biosynthesis genes with a potential role in pathogen suppression in the fox-resistant cultivar upon fungal pathogen invasion.

Conclusion
Collectively, these results revealed a cultivar-dependent enrichment of specific bacterial genera and the activation of putative disease-suppressive functions in the rhizosphere and endosphere microbiome of common bean under siege.
Clinical characteristics of patients with suspected Alzheimer’s disease within a CSF Aß-ratio grey zone
Authors: Yosypyshyn Dariia , Kučikienė Domantė , Ramakers Inez , Schulz Jörg B. ,   for the Alzheimer’s Disease Neuroimaging Initiative, Reetz Kathrin , Costa Ana Sofia 
Published: August 2023

Abstract
Background
The AT(N) research framework for Alzheimer's disease (AD) remains unclear on how to best deal with borderline cases. Our aim was to characterise patients with suspected AD with a borderline Aß1-42/Aß1-40 ratio in cerebrospinal fluid.

Methods
We analysed retrospective data from two cohorts (memory clinic cohort and ADNI) of patients (n = 63) with an Aß1-42/Aß1-40 ratio within a predefined borderline area—Q1 above the validated cut-off value(grey zone). We compared demographic, clinical, neuropsychological and neuroimaging features between grey zone patients and patients with low Aß1-42 (normal Aß ratio but pathological Aß1-42, n = 42) and patients with AD (pathological Aß, P-Tau, und T-Tau, n = 80).

Results
Patients had mild cognitive impairment or mild dementia and a median age of 72 years. Demographic and general clinical characteristics did not differ between the groups. Patients in the grey zone group were the least impaired in cognition. However, they overlapped with the low Aß1-42 group in verbal episodic memory performance, especially in delayed recall and recognition. The grey zone group had less severe medial temporal atrophy, but mild posterior atrophy and mild white matter hyperintensities, similar to the low Aß1-42 group.

Conclusions
Patients in the Aß ratio grey zone were less impaired, but showed clinical overlap with patients on the AD continuum. These borderline patients may be at an earlier disease stage. Assuming an increased risk of AD and progressive cognitive decline, careful consideration of clinical follow-up is recommended when using dichotomous approaches to classify Aß status.
LookUpTrials: Assessment of an artificial intelligence-powered mobile application to engage oncology providers in clinical trials.
Authors: Hung Kin Wai (Tony) , Dunn Lara , Sherman Eric Jeffrey , Ho Alan Loh , Fetten James Vincent , Michel Loren S. , Kriplani Anuja , Baxi Shrujal S. , Wong Winston , Sanford Rachel Ann , Wong Richard J. , Lee Nancy Y. , Kuperman Gilad , Mao Jun J. , Pfister David G. 
Published: August 2023

111 Background: Clinical trials are integral to cancer care but face frequent accrual challenges as they grow numerous and complex. Artificial intelligence (AI) technologies can cognitively aid oncology providers, but few have rigorously been evaluated or optimally integrated into clinical workflow. We developed an AI-powered mobile application, LookUpTrials, to support oncology providers in facilitating point-of-care access to relevant information on cancer clinical trials. This study examines user engagement of LookUpTrials among oncology providers. Methods: LookUpTrials functions as a search engine for clinical trials. Unlike traditional trial registries, LookUpTrials provides an open forum, similar to a social media platform, to allow users to update information (i.e., trial availability) and share knowledge (i.e., clinical experience) about clinical trials. Additionally, LookUpTrials leverage Al technologies supported by Apple Inc. and ChatGPT to assist with summary and search queries. Similar applications exist, but few support real-time update, editable by clinical trial teams. On Feb 27th, 2022, we piloted LookUpTrials in the Head and Neck and Breast medical oncology services at the Memorial Sloan Kettering Cancer Center (MSK). Leveraging Google Firebase and Apple Analytics, LookUpTrials prospectively auto-captured user engagement measures. Measurement included: 1) sessions: instances when users opened app or viewed an app screen; 2) engaged sessions: sessions that lasted longer than 10 seconds or had 2 or more screen views; and 3) engagement time: time that app ran in the foreground. We applied market segmentation and descriptive statistics to analyze the measures. Results: In 2022, LookUpTrials received 166 downloads, the majority within the United States (73%), a few unknown (7%), and others across 8 countries, including China (9%), Ukraine (5%), Egypt (1%), France (1%), Morocco (1%), Switzerland (1%), Turkey (1%), and the United Kingdom (1%). Within the MSK pilot, LookUpTrials provided information on over 80 trials, including trials on breast cancer, head and neck cancers, thyroid cancers, salivary gland cancers, and non-melanoma skin cancers. Among 115 active users (72% of downloads), the application recorded 1,115 engaged sessions (68% of sessions), averaging 10 engaged sessions per user and an engagement time of 39 minutes and 8 seconds. Conclusions: LookUpTrials demonstrated promising user engagement among oncology providers. As the number and complexity of cancer clinical trials expand, future studies are needed to evaluate the optimal process to integrate LookUpTrials into cancer care delivery and to understand its effects in supporting providers in trial accrual.
Real-time, multiplexed rendering of lymphoma diagnostic panels from unstained tissue sections using virtual staining.
Authors: Kobayashi Hirofumi , Kallen Michael E , Kozikowski Raymond , de Haan Kevin , Fang Zihang , Alexanian Serge , Carvalho L. a. V. , Rivenson Yair 
Published: August 2023

115 Background: Lymphoproliferative disorders are complex, heterogeneous diseases with an ever expanding array of subtypes and variants requiring stepwise assay approach to arrive at a precise diagnosis. While extensive characterization of lesional cells and the microenvironment (TME) via immunophenotyping and genotyping remains the gold standard, a full workup may be unachievable due to limited input tissue, turnaround time pressure, or unavailability of particular markers in-house. Even when available, the interpretation of large numbers of markers by pathologists is limited by the ability to mentally spatially align markers by recall-superimposition of single-plex markers, limiting the discovery of patterns relevant for novel treatments strategies. Here we present a deep-learning based virtual staining method which transforms a single unstained tissue section into a panel of perfectly aligned virtual immunohistochemical (IHC) stained images. Methods: 4um unstained sections were cut from 30 formalin-fixed paraffin-embedded blocks. Using a standard commercial slide scanner (Axio Scan.Z1, Zeiss), autofluorescence images were captured from unstained sections and paired with brightfield images captured from the same sections after chemical staining with H&E or various IHC stains of interest. The virtual staining was performed by a deep neural network trained as a conditional GAN using accurately co-registered patches of paired images . The training dataset comprised seven types of lymphoma plus benign lymphoid tissues. Results: We successfully created models for virtual CD3, CD8, CD20 and CD30 IHC stains as well as H&E. Analysis by board certified pathologists confirmed consistent and accurate results between virtual and IHC stained slides in a range of lymphomas and reactive lymphoid tissue. We quantitatively evaluated the co-expression of CD3/CD8 and the spatial distribution of all four markers in eight holdout slides. We demonstrated that our virtual multiplex IHC staining achieves comparable performance for WSI scoring and cellular localization with actual staining across lymphoma types. Conclusions: We present the feasibility of spatially aligned, rapid virtual H&E and IHC staining of four different markers from single, label-free autofluorescence images using deep-learning techniques. To the best of our knowledge, this is the first report of a panel of virtual IHC stains, perfectly aligned and with overlaid H&E structural context, for analysis of neoplastic and reactive lymphoid tissues. Our technique provides an opportunity for a rapid, comprehensive histopathology and immunophenotyping workflow. Multiplex virtual staining greatly expands diagnostic and discovery opportunities: high accuracy TME profiling, seamless downstream computational image analysis, and screening of large biomarker pools in retrospective analysis of clinical trials.
The effect of corticosteroid on immunogenicity of SARS-CoV-2 vaccines in solid cancer patients.
Authors: Samdaengpan Chayanee , Sungkasubun Prakongboon , Chaiwiriyawong Worawit , Siripaibun Jomtana , Phanthunane Chumut , Tantiyavarong Walaipan , Lamlertthon Wisut , Ungtrakul Teerapat , Tawinprai Kriangkrai , Limpawittayakul Piyarat 
Published: August 2023

127 Background: Corticosteroids are known to diminish immune response ability, which is generally used in routine pre-medication for chemotherapy. The intersecting of timeframe between the corticosteroid’s duration of action and peak COVID-19 vaccine efficacy could impair vaccine immunogenicity. Thus, inquiring about corticosteroids affecting the efficacy of vaccines, a dose of corticosteroids, and optimal timing of vaccination to promote effective immunity in this population is needed. Methods: This was a prospective longitudinal observational cohort study that enrolled solid cancer patients classified into dexamethasone and non-dexamethasone receiving groups. All participants were immunized with two doses of ChAdOx1 nCoV-19 or CoronaVac vaccines. This study's purpose was to compare corticosteroid's effect on immunogenicity responses to the SARS-CoV-2 S protein in solid cancer patients following two doses of COVID-19 vaccine in the dexamethasone and non-dexamethasone group. Secondary outcomes included the post-immunization anti-S IgG seroconversion rate, the association of corticosteroid dosage, time duration and immunogenicity level. Results: Among the 161 enrolled solid cancer patients, 71 and 90 were in the dexamethasone and non- dexamethasone groups, respectively. The median anti-S IgG titer after COVID-19 vaccination in the dexamethasone group was lower than non- dexamethasone group with a statistically significant difference (47.22 vs 141.09 U/ml, p = 0.035). The anti-S IgG seroconversion rate was also significantly lower in the dexamethasone group than in the non- dexamethasone group (93.83% vs 80.95% p = 0.023). The lowest median anti-SARS-CoV-2 IgG titer level at 7.89 AU/ml showed in patients with the highest dose of steroid group (37 mg or more of dexamethasone) and patients who were injected with COVID-19 vaccines on the same day of receiving dexamethasone, 25.41 AU/ml. Conclusions: Solid cancer patients vaccinated against COVID-19 while receiving dexamethasone had lower immunogenicity responses than those who got vaccines without dexamethasone, regardless of active cancer treatment types.The direct association between immunogenicity level and steroid dosage, as well as length of duration from vaccination to dexamethasone was observed. Clinical trial information: TCTR20221001004 .
Integrating multi-omics features for blood-based multi-cancer early detection.
Authors: Mao Mao , Li Shiyong , Ren Qingqi , Luan Yi , Liang Weijie , Geng Shuaipeng , Zhong Guolin , Zhu Dandan , Chang Yinyin , Wu Wei , Zhang Yingying , Zhang Linfeng , Wang Yan , Feng Yumin , Wei Bing , Ma Jie , Duan Chaohui , Long Guanghui 
Published: August 2023

156 Background: The current standard-of-care cancer screening paradigm is constrained to just a few cancer types and has challenges in patient compliance due to the invasive procedures endured from the tests. Recently studies have demonstrated that blood-based multi-cancer detection (MCED) approaches may hold promise for identifying asymptomatic cancer patients from the general population. However, most studies only exploit a single aspect of cancer hallmarks which is challenging for the biological reasons since cancer is a heterogenous disease with a wide spectrum of pathological and clinical behaviors. Methods: Here we report SeekInCare, a CE-IVD Mark MCED test, based on a novel multi-dimensional cancer risk score (CRS) model incorporating copy number aberrations, fragment size, end motifs and oncogenic viruses via shallow whole genome sequencing (sWGS) from cell-free DNA (cfDNA), and seven common tumor markers in a single 8ml blood draw. Results: Our research cohort consisted of 898 healthy subjects and 615 stage I-IV cancer patients that covered eight common cancers and 19 uncommon cancer types. The CRS model identified 427 cancer patients with 69.4% sensitivity at 98.0% specificity, resulting in an AUC (area under the curve) of 0.926. The sensitivities were 50.3%, 64.0%, 73.8% and 86.2% in stage I, II, III and IV cancers respectively. The sensitivities of eight common cancer types, breast, stomach, lung, colorectum, lymphoma, liver, pancreas and leukemia, were 45.1%, 50.0%, 63.4%, 69.4%, 70.5%, 81.4%, 82.4% and 90.9% respectively. We also prospectively evaluated SeekInCare in a real-world cohort consisting of 1212 subjects who received the test as a LDT (laboratory developed test) (median follow-up time: 753 days, range: 78~1669 days). 13 out of 18 cancer cases were detected while 46 subjects tested positive but without cancer. Thus, SeekInCare achieved 72.2% sensitivity, 96.1% specificity, 22.0% PPV and 99.6% NPV in the real-world cohort. Conclusions: In this study, we provided a non-invasive MCED test (SeekInCare) based on the multi-omics and multi-dimensional features. The case-control study demonstrated that SeekInCare could detect >20 cancer types with 69.4% sensitivity at 98.0% specificity. The outstanding real-world performance of SeekInCare warrants future investigation of its clinical utility and health economics as a mass cancer screening test in average-risk populations.