bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining intergenerational risk factors for conduct problems using polygenic scores in the Norwegian Mother, Father and Child Cohort Study
Authors: Frach Leonard , Barkhuizen Wikus , Allegrini Andrea G. , Ask Helga , Hannigan Laurie J. , Corfield Elizabeth C. , Andreassen Ole A. , Dudbridge Frank , Ystrom Eivind , Havdahl Alexandra , Pingault Jean-Baptiste 
Published: January 2024

AbstractThe aetiology of conduct problems involves a combination of genetic and environmental factors, many of which are inherently linked to parental characteristics given parents’ central role in children’s lives across development. It is important to disentangle to what extent links between parental heritable characteristics and children’s behaviour are due to transmission of genetic risk or due to parental indirect genetic influences via the environment (i.e., genetic nurture). We used 31,290 genotyped mother-father-child trios from the Norwegian Mother, Father and Child Cohort Study (MoBa), testing genetic transmission and genetic nurture effects on conduct problems using 13 polygenic scores (PGS) spanning psychiatric conditions, substance use, education-related factors, and other risk factors. Maternal or self-reports of conduct problems at ages 8 and 14 years were available for up to 15,477 children. We found significant genetic transmission effects on conduct problems for 12 out of 13 PGS at age 8 years (strongest association: PGS for smoking, β = 0.07, 95% confidence interval = [0.05, 0.08]) and for 4 out of 13 PGS at age 14 years (strongest association: PGS for externalising problems, β = 0.08, 95% confidence interval = [0.05, 0.11]). Conversely, we did not find genetic nurture effects for conduct problems using our selection of PGS. Our findings provide evidence for genetic transmission in the association between parental characteristics and child conduct problems. Our results may also indicate that genetic nurture via traits indexed by our polygenic scores is of limited aetiological importance for conduct problems—though effects of small magnitude or effects via parental traits not captured by the included PGS remain a possibility.
Distress and well-being in dentists: performance of a screening tool for assessment
Authors: Giri Subha , West Colin P. , Shanafelt Tait , Satele Daniel , Dyrbye Liselotte N. 
Published: January 2024

Abstract
Objectives
Dentists’ well-being is being challenged today by many factors. However, effective screening tools to assess their distress and well-being are yet to be validated. The present study aims to evaluate the ability of the Well-Being Index (WBI) to identify distress and stratify dentists’ well-being and their likelihood for adverse professional consequences.

Method and materials
A convenience sample of dentists completed a web-based 9-item WBI survey along with other instruments that measured quality of life (QOL), fatigue, burnout, and questions about suicidal ideation, recent dental error, and intent to leave their current job.

Results
A total of 597 dentists completed the survey. The overall mean WBI score was 2.3. The mean WBI score was significantly greater in dentists with low QOL than among dentists without low QOL (4.1 vs 1.6, p < 0.001). Dentists with extreme fatigue, burnout, and suicidal ideation had significantly higher mean WBI score than those without distress (all p < 0.001). WBI score stratified the dentists’ likelihood of reporting a recent dental error and intent to leave their current job.

Conclusion
The WBI may be a useful screening tool to assess well-being among dentists and identify those in distress and at risk for adverse professional consequences.
Are lipid droplets the picnic basket of brain tumours?
Authors: Bingi Tanmayi , Cotton Kian , Comer Charley , Niklison-Chirou Maria Victoria 
Published: January 2024

AbstractAre lipid droplets (LDs) necessary to maintain the viability of brain tumour cells as they move to new nutrient-poor environments? In turn, could cancers be targeted by attacking what you might think of as the cancer cells’ picnic basket? Lipid metabolism reprogramming, represented by increased lipid uptake, activation of de novo lipogenesis and increased lipid storage, is a newly identified hallmark of cancers. Recently, the presence of lipid droplets has been detected in several types of cancers, such as metastatic hepatocellular carcinoma, pancreatic and breast. LDs are storage organelles that provide a source of nutrients which may drive metastasis in different tumours. Currently, several roles of LDs have been posited in various tumours. This perspective aims to review and discuss the currently understood role of LDs in brain tumours.
Pyroptotic cell death: an emerging therapeutic opportunity for radiotherapy
Authors: Li Hongbin , Yang Tiantian , Zhang Jialin , Xue Kai , Ma Xiaoli , Yu Boyi , Jin Xiaodong 
Published: January 2024

AbstractPyroptotic cell death, an inflammatory form of programmed cell death (PCD), is emerging as a potential therapeutic opportunity for radiotherapy (RT). RT is commonly used for cancer treatment, but its effectiveness can be limited by tumor resistance and adverse effects on healthy tissues. Pyroptosis, characterized by cell swelling, membrane rupture, and release of pro-inflammatory cytokines, has been shown to enhance the immune response against cancer cells. By inducing pyroptotic cell death in tumor cells, RT has the potential to enhance treatment outcomes by stimulating anti-tumor immune responses and improving the overall efficacy of RT. Furthermore, the release of danger signals from pyroptotic cells can promote the recruitment and activation of immune cells, leading to a systemic immune response that may target distant metastases. Although further research is needed to fully understand the mechanisms and optimize the use of pyroptotic cell death in RT, it holds promise as a novel therapeutic strategy for improving cancer treatment outcomes. This review aims to synthesize recent research on the regulatory mechanisms underlying radiation-induced pyroptosis and to elucidate the potential significance of this process in RT. The insights gained from this analysis may inform strategies to enhance the efficacy of RT for tumors.
Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water
Authors: Zhou Junhu , Wu Ziqian , Jin Congran , Zhang John X. J. 
Published: January 2024

AbstractThis study presents a dual-functional thin film, known as Ag nanoparticles decorated, ZnO nanorods coated silica nanofibers (AgNP-ZnONR-SNF), which demonstrates remarkable capabilities in both water purification and organic pollutants sensing. The 3D fibrous structure of ZnONR-SNF provides a large surface-area-to-volume ratio for piezo- and photo-catalytic degradation of organic pollutants under UV irradiation, achieving over 98% efficiency. Ag nanoparticles decorated on ZnONR-SNF form “hot-spot” that significantly enhance the surface-enhanced Raman spectroscopy (SERS) signal, resulting in an enhancement factor of 1056 and an experimental detection limit of 1 pg mL−1. Furthermore, a machine learning algorithm is developed for the qualitative and quantitative detection of multiple contaminants, achieving high accuracy (92.3%) and specificity (89.3%) without the need for preliminary processing of Raman spectra. This work provides a promising nanoengineering solution for water purification and sensing with improved detection accuracy, purification efficiency, and cost-effectiveness.
Engineered probiotic overcomes pathogen defences using signal interference and antibiotic production to treat infection in mice
Authors: Do Hackwon , Li Zhong-Rui , Tripathi Praveen Kumar , Mitra Sonali , Guerra Stephanie , Dash Ananya , Weerasekera Dulanthi , Makthal Nishanth , Shams Syed , Aggarwal Shifu , Singh Bharat Bhushan , Gu Di , Du Yongle , Olsen Randall J. , LaRock Christopher , Zhang Wenjun , Kumaraswami Muthiah 
Published: January 2024

AbstractProbiotic supplements are suggested to promote human health by preventing pathogen colonization. However, the mechanistic bases for their efficacy in vivo are largely uncharacterized. Here using metabolomics and bacterial genetics, we show that the human oral probiotic Streptococcus salivarius K12 (SAL) produces salivabactin, an antibiotic that effectively inhibits pathogenic Streptococcus pyogenes (GAS) in vitro and in mice. However, prophylactic dosing with SAL enhanced GAS colonization in mice and ex vivo in human saliva. We showed that, on co-colonization, GAS responds to a SAL intercellular peptide signal that controls SAL salivabactin production. GAS produces a secreted protease, SpeB, that targets SAL-derived salivaricins and enhances GAS survival. Using this knowledge, we re-engineered probiotic SAL to prevent signal eavesdropping by GAS and potentiate SAL antimicrobials. This engineered probiotic demonstrated superior efficacy in preventing GAS colonization in vivo. Our findings show that knowledge of interspecies interactions can identify antibiotic- and probiotic-based strategies to combat infection.
Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants
Authors: Reuschl Ann-Kathrin , Thorne Lucy G. , Whelan Matthew V. X. , Ragazzini Roberta , Furnon Wilhelm , Cowton Vanessa M. , De Lorenzo Giuditta , Mesner Dejan , Turner Jane L. E. , Dowgier Giulia , Bogoda Nathasha , Bonfanti Paola , Palmarini Massimo , Patel Arvind H. , Jolly Clare , Towers Greg J. 
Published: January 2024

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) human adaptation resulted in distinct lineages with enhanced transmissibility called variants of concern (VOCs). Omicron is the first VOC to evolve distinct globally dominant subvariants. Here we compared their replication in human cell lines and primary airway cultures and measured host responses to infection. We discovered that subvariants BA.4 and BA.5 have improved their suppression of innate immunity when compared with earlier subvariants BA.1 and BA.2. Similarly, more recent subvariants (BA.2.75 and XBB lineages) also triggered reduced innate immune activation. This correlated with increased expression of viral innate antagonists Orf6 and nucleocapsid, reminiscent of VOCs Alpha to Delta. Increased Orf6 levels suppressed host innate responses to infection by decreasing IRF3 and STAT1 signalling measured by transcription factor phosphorylation and nuclear translocation. Our data suggest that convergent evolution of enhanced innate immune antagonist expression is a common pathway of human adaptation and link Omicron subvariant dominance to improved innate immune evasion.
Time-Efficient Constant-Space-Overhead Fault-Tolerant Quantum Computation
Authors: Yamasaki Hayata , Koashi Masato 
Published: January 2024

AbstractScaling up quantum computers to attain substantial speedups over classical computing requires fault tolerance. Conventionally, protocols for fault-tolerant quantum computation demand excessive space overheads by using many physical qubits for each logical qubit. A more recent protocol using quantum analogues of low-density parity-check codes needs only a constant space overhead that does not grow with the number of logical qubits. However, the overhead in the processing time required to implement this protocol grows polynomially with the number of computational steps. To address these problems, here we introduce an alternative approach to constant-space-overhead fault-tolerant quantum computing using a concatenation of multiple small-size quantum codes rather than a single large-size quantum low-density parity-check code. We develop techniques for concatenating different quantum Hamming codes with growing size. As a result, we construct a low-overhead protocol to achieve constant space overhead and only quasi-polylogarithmic time overhead simultaneously. Our protocol is fault tolerant even if a decoder has a non-constant runtime, unlike the existing constant-space-overhead protocol. This code concatenation approach will make possible a large class of quantum speedups with feasibly bounded space overhead yet negligibly short time overhead.
Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation
Authors: Vatsa Aniket , Hati Ananda Shankar , Kumar Prashant , Margala Martin , Chakrabarti Prasun 
Published: January 2024

AbstractThe empirical application of polarization and depolarization current (PDC) measurement of transformers facilitates the extraction of critical insulation-sensitive parameters. This technique, rooted in time-domain dielectric response analysis, forms the bedrock for parameterization and insulation modeling. However, the inherently time-consuming nature of polarization current measurements renders them susceptible to data corruption. This article explores deep-learning-based short-duration techniques for forecasting polarization current to address this limitation. By incorporating spatial shortcuts, the residual long short-term memory (LSTM) network facilitates the seamless propagation of spatial and temporal gradients. Furthermore, the relative forecasting assessment of the proposed residual LSTM model’s performance is made against traditional LSTM, attention LSTM, gated recurrent units (GRU), and convolutional neural network (CNN) models. Thus, optimal model selection strategies are evaluated based on their capability to capture extended dependencies and short-term information present in the data. In addition, the Monte Carlo dropout prediction is employed to estimate uncertainty in polarization current forecasts. The findings demonstrate that the proposed residual LSTM network model for polarization current forecasting yields the lowest error metrics and maintains prediction consistency over the testing duration. Thus, the proposed approach significantly reduces PDC measurement time, providing an effective means to develop proactive maintenance strategies for evaluating the insulation condition of transformers.
Development of chia gum/alginate-polymer support for horseradish peroxidase immobilization and its application in phenolic removal
Authors: Mohamed Saleh A. , Elsayed Alshaimaa M. , Salah Hala A. , Barakat Amal Z. , Bassuiny Roqaya I. , Abdel-Mageed Heidi M. , Abdel-Aty Azza M. 
Published: January 2024

AbstractChia gum’s molecular structure with distinctive properties as well as the alginate-based hydrogel’s three-dimensionally cross-linked structure can provide a potent matrix for immobilization of enzyme. Herein, chia gum (CG)/alginate (A)-polymeric complex was synthesized and employed as a support material for the immobilization of horseradish peroxidase (HRP). HRP was successfully immobilized on the developed ACG-polymeric support, and the highest immobilization recovery (75%) was observed at 1.0% CG and 2% A, pH 7.0, and 50 units of the enzyme. The structure, morphology, and thermal properties of the prepared ACG-HRP were demonstrated using Fourier Transform Infrared (FTIR), Scanning Electron Microscope, and Thermogravimetric (TGA) analyses. ACG-HRP showed a good reusability (60%) over ten reuses. The immobilized ACG-HRP displayed an acidic pH optimum (6.0), a higher temperature optimum (50 °C), and improved thermal stability (30–50 °C) compared to the soluble HRP at pH 7.0, 40 °C and (30–40 °C), respectively. ACG-HRP has a lower affinity for hydrogen peroxide (H2O2) and guaiacol and a higher oxidizing affinity for a number of phenolic substrates. The ACG-HRP demonstrated greater resistance to heavy metals, isopropanol, urea, Triton X-100, and urea, as well as improved efficiency for eliminating phenol and p-chlorophenol. The developed ACG-polymeric support provided improved enzyme properties, allowed the reuse of the immobilized HRP in 10 cycles, and made it promising for several biotechnological applications.
Effects of uric acid on ischemic diseases, stratified by lipid levels: a drug-target, nonlinear Mendelian randomization study
Authors: Kim Jungeun , Lee Sun Yeop , Lee Jihye , Yoon Sanghyuk , Kim Eun Gyo , Lee Eunbyeol , Kim Nayoung , Lee Sol , Gym Ho , Park Sang-In 
Published: January 2024

AbstractAlthough uric acid-lowering agents such as xanthine oxidase inhibitors have potential cardioprotective effects, studies on their use in preventing cardiovascular diseases are lacking. We investigated the genetically proxied effects of reducing uric acid on ischemic cardiovascular diseases in a lipid-level-stratified population. We performed drug-target Mendelian randomization (MR) analyses using UK Biobank data to select genetic instruments within a uric acid-lowering gene, xanthine dehydrogenase (XDH), and construct genetic scores. For nonlinear MR analyses, individuals were stratified by lipid level. Outcomes included acute myocardial infarction (AMI), ischemic heart disease, cerebral infarction, transient cerebral ischemic attack, overall ischemic disease, and gout. We included 474,983 non-gout individuals with XDH-associated single-nucleotide polymorphisms. The XDH-variant-induced uric acid reduction was associated with reduced risk of gout (odds ratio [OR], 0.85; 95% confidence interval [CI], 0.78–0.93; P < 0.001), cerebral infarction (OR, 0.86; 95% CI, 0.75–0.98; P = 0.023), AMI (OR, 0.79; 95% CI, 0.66–0.94; P = 0.010) in individuals with triglycerides ≥ 188.00 mg/dL, and cerebral infarction in individuals with low-density lipoprotein cholesterol (LDL-C) ≤ 112.30 mg/dL (OR, 0.76; 95% CI, 0.61–0.96; P = 0.020) or LDL-C of 136.90–157.40 mg/dL (OR, 0.67; 95% CI, 0.49–0.92; P = 0.012). XDH-variant-induced uric acid reduction lowers the risk of gout, AMI for individuals with high triglycerides, and cerebral infarction except for individuals with high LDL-C, highlighting the potential heterogeneity in the protective effects of xanthine oxidase inhibitors for treating AMI and cerebral infarction depending on the lipid profiles.
Word of mouth from an adolescent with cancer in the convalescence stage to exploring their mental health after treatment
Authors: Yu Lu , Gao Chunhai , Zhang Xinyu , Khalid Sabika , Tadesse Endale , Mo Lin 
Published: January 2024

AbstractTo explore the psychological experience and emotional needs of returning to family and society after treatment in an adolescent with cancer. A phenomenological research design was employed to conduct a semi-structured interview with nine cancer adolescents in the convalescence stage. Colaizzi’s seven-step analysis was used for the data analysis. Three themes of the psychological experience of an adolescent with cancer in convalescence were summarized: continuous negative emotions, emotionally intense behavior, and discomfort of returning to society. The psychological experience of an adolescent with cancer in convalescence returning to family and community is sensitive and complex. Medical staff, families, and schools should provide personalized care according to their different psychological characteristics and emotional needs so that they can return to family and society smoothly.
A randomized open-label clinical trial on the effect of Amantadine on post Covid 19 fatigue
Authors: Harandi Ali Amini , Pakdaman Hossein , Medghalchi Aida , Kimia Negin , Kazemian Alireza , Siavoshi Fatemeh , Barough Siavash Shirzadeh , Esfandani Akram , Hosseini Mohammad Hossein , Sobhanian Seyed Ali 
Published: January 2024

AbstractMany COVID-19 survivors experience lingering post-COVID-19 symptoms, notably chronic fatigue persisting for months after the acute phase. Despite its prevalence, limited research has explored effective treatments for post-COVID-19 fatigue. This randomized controlled clinical trial assessed the impact of Amantadine on patients with post-COVID-19 fatigue. The intervention group received Amantadine for two weeks, while the control group received no treatment. Fatigue levels were assessed using the Visual Analog Fatigue Scale (VAFS) and Fatigue Severity Scale (FSS) questionnaires before and after the trial. At the study's onset, VAFS mean scores were 7.90 ± 0.60 in the intervention group and 7.34 ± 0.58 in the control group (P-value = 0.087). After two weeks, intervention group scores dropped to 3.37 ± 0.44, significantly lower than the control group's 5.97 ± 0.29 (P-value < 0.001). Similarly, FSS mean scores at the trial's commencement were 53.10 ± 5.96 in the intervention group and 50.38 ± 4.88 in the control group (P-value = 0.053). At the trial's end, intervention group scores decreased to 28.40 ± 2.42, markedly lower than the control group's 42.59 ± 1.50 (P-value < 0.001). In this study, we report the safety, tolerability, and substantial fatigue-relieving effects of Amantadine in post-COVID-19 fatigue. The intervention demonstrates a statistically significant reduction in fatigue levels, suggesting Amantadine's potential as an effective treatment for this persistent condition.
Analysis of data and common mutations encountered during routine parentage testing in Zimbabwe
Authors: Thelingwani Roslyn Stella , Jonhera Catherine Ashley , Masimirembwa Collen 
Published: January 2024

AbstractWe analyzed parentage data collected over a ten-year period in a Zimbabwean DNA testing laboratory. Parentage case types, prevalence, exclusion data, mutations rates and observed genotyping irregularities were analyzed. We report analysis results from 1303 cases. DNA extraction and STR typing was conducted using standard commercial kits. Paternity was the most requested test (87.37%) followed by the indirect biological kinship tests (7.01%). Duo paternity (motherless) was the most common paternity test for both regular and court cases. We observed 367 paternity exclusions from 1135 cases, giving an overall paternity exclusion rate of 32.33%. Maternity had the lowest exclusion rate (8.33%), with criminal cases having the highest paternity (61.11%) and maternity (33.33%) exclusion rates. The number of mismatched STR loci ranged from 2–12 for duo cases and 4–18 for the trio cases. FGA, D2S1338, D18S51 and D2S441 were the most informative markers for exclusion. We detected 30 mutations out of 837 cases with an estimated paternal and maternal mutation rate of 0.0021 and 0.0011 respectively. Triallelic patterns were only observed at the TPOX locus with allele 10 and 11 being the extra alleles transmitted. Our report provides forensic parameters which can improve parentage and forensic analysis in Zimbabwe.
Study on the characteristic of overburden rock structure and support system of the retraction channel in layered fully mechanized caving face
Authors: Song Weihua , Yu Shiqi , Rong Hai , Jiao Huice , Xu Xiaotian 
Published: January 2024

AbstractAiming at the technical problems of frequent dynamic pressure disturbance of regenerated roof and roadway stability control in the process of forming large-section support return channel under the delamination mining, taking 1200-2 fully mechanized caving face of Baiyinhua No. 4 Mine as the engineering background, numerical simulation and theoretical analysis were adopted. The overburden structure of the lower stratified caving face and the loading characteristics of the roof after the expansion are analyzed, and the breaking forms and the limiting conditions of the roof are given.The combined support scheme of anchor rod + metal mesh + steel ladder belt + I-beam insertion + suspension beam + anchor cable + single pillar is studied to form a set of safe and efficient construction support technology system. Practice shows that this scheme can effectively reduce the roof subsidence, narrow the scope of plastic failure zone, and ensure the stability of roadway surrounding rock during the support withdrawal period. Successfully complete the efficient withdrawal of hydraulic support. The research results can provide a good reference for the roof management and the smooth output of coal resources under similar conditions.