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Effects of elevated temperature and different crystal structures of TiO2 nanoparticles on the gut microbiota of mussel Mytilus coruscus

Li Z, Li L, Sokolova I, Shang Y, Huang W, Khor W, et al.

Mar Pollut Bull, 2024 Feb;199:115979.
PMID: 38171167 DOI: 10.1016/j.marpolbul.2023.115979

Coastal habitats are exposed to increasing pressure of nanopollutants commonly combined with warming due to the seasonal temperature cycles and global climate change. To investigate the toxicological effects of TiO2 nanoparticles (TiO2 NPs) and elevated temperature on the intestinal health of the mussels (Mytilus coruscus), the mussels were exposed to 0.1 mg/L TiO2 NPs with different crystal structures for 14 days at 20 °C and 28 °C, respectively. Compared to 20 °C, the agglomeration of TiO2 NPs was more serious at 28 °C. Exposure to TiO2 NPs led to elevated mortality of M. coruscus and modified the intestinal microbial community as shown by 16S rRNA sequence analysis. Exposure to TiO2 NPs changed the relative abundance of Bacteroidetes, Proteobacteria and Firmicutes. The relative abundances of putative mutualistic symbionts Tenericutes and Fusobacteria increased in the gut of M. coruscus exposed to anatase, which have contributed to the lower mortality in this group. LEfSe showed the combined stress of warming and TiO2 NPs increased the risk of M. coruscus being infected with potential pathogenic bacteria. This study emphasizes the toxicity differences between crystal structures of TiO2 NPs, and will provides an important reference for analyzing the physiological and ecological effects of nanomaterial pollution on bivalves under the background of global climate change.
A thematic review on therapeutic toys and games for the elderly with Alzheimer's disease

You D, Hasley Bin Ramli S, Ibrahim R, Hibatullah Bin Romli M, Li Z, Chu Q, et al.

Disabil Rehabil Assist Technol, 2025 Jan;20(1):1-13.
PMID: 38299880 DOI: 10.1080/17483107.2023.2299713

PURPOSE: Alzheimer's disease (AD) is a common and devastating neurological ailment that affects millions of the elderly worldwide. Therapeutic toys and games have emerged as potential non-pharmacological interventions for AD. However, despite a growing number of documents on the subject, research on the future direction of therapeutic toys and games for AD remains scarce. To address this gap, this study aims to (1) map the future trends of therapeutic toys and games for AD and (2) identify the categories and design characteristics.
MATERIALS AND METHODS: Using a thematic review framework, a systematic literature search was conducted in two electronic databases (Scopus and WoS) using established criteria. Thematic analysis was done using ATLAS.ti 23 to identify prominent themes, patterns and trends.
RESULTS: A total of 180 documents were found. Twenty-five articles met the inclusion criteria. A thematic review of these 25 articles identified 13 initial codes, which were been clustered into four themes: detection and evaluation; intervention; toy/game category; and design characteristics. The word "Cognitive" appears most frequently in documents according to word cloud.
CONCLUSIONS: Therapeutic toys and games are used to detect and as an intervention for AD. Most of the current studies focused on specific cognitive functions. More research is needed about play therapy for neuropsychiatric symptoms. This thematic review also proposed a conceptual framework for designing toys and games tailored to the needs of the elderly with AD, offering valuable insights to future researchers focusing on this domain.
Cobalt-Mediated Defect Engineering Endows High Reversible Amorphous VS4 Anode for Advanced Sodium-Ion Storage

Zhang D, Shao Y, Wang J, Li Z, Wang Q, Sun H, et al.

Small, 2024 Jul;20(27):e2309901.
PMID: 38299768 DOI: 10.1002/smll.202309901

Metal sulfides are promising anode materials for sodium-ion batteries (SIBs) due to their structural diversity and high theoretical capacity, but the severe capacity decay and inferior rate capability caused by poor structural stability and sluggish kinetics impede their practical applications. Herein, a cobalt-doped amorphous VS4 wrapped by reduced graphene oxide (i.e., Co0.5-VS4/rGO) is developed through a Co-induced defect engineering strategy to boost the kinetics performances. The as-prepared Co0.5-VS4/rGO demonstrates excellent rate capacities over 10 A g-1 and superior cycling stability at 5 A g-1 over 1600 cycles, which is attributed to the defects formed by Co doping, the formed amorphous structure and the robust rGO substrate. The great features of Co0.5-VS4/rGO anode are further confirmed in sodium-ion capacitors when the active carbon cathode is used. Additionally, the relationships between metal doping, the derived defects, the amorphous structure, and the sodium storage of VS4 are uncovered. This work provides deep insights into preparing amorphous functional materials and also probes the potential applications of metal sulfide-based electrode materials for advanced batteries.
Impact of climate change on coastal ecosystem: A comparative analysis among four largest coastline covering countries

Zhang T, Liu H, Lu Y, Wang Q, Loh YC, Li Z

Environ Res, 2024 Feb 14.
PMID: 38365060 DOI: 10.1016/j.envres.2024.118405

Climate change and coastal ecosystems have become challenging subjects for world sustainability. Humans, animals, and other ocean habitats are primarily affected by the harmful changes in climate. Coastal ecosystems support biodiversity and a wide range of species that serve as habitats for many commercially important fish species and enhance human activities in coastal areas. By engaging in coastal outdoor activities, individuals can experience numerous physical and mental health benefits, foster environmental awareness. This study provided valuable insights into the importance of coastal outdoor activities and their potential to improve our quality of life. This study undertook a challenging subject where we graphically and econometrically analyze the relationship and linkages among coastal indicators with other climate-concerning factors. The study comprises the ordinary regression and comparative analysis among the four largest coastline countries in the world. The study took a sample from Canada, Indonesia, Norway, and the Russian Federation from 1990 to 2022. The data is selected on a convenient basis. Results declared that each country has its unique challenges and opportunities in mitigating adverse climate change and retaining a sustainable coastal ecosystem. The study surprisingly revealed that climate change insignificantly affects the coastal ecosystem in Indonesia and the Russian Federation while it inversely affects the coastal ecosystem in Canada and Norway, showed that climate change on average declines coastal production by 0.0041922 and 0.0261104 in Canada and Norway respectively. The detailed review is given in the results section; however, the pooling analysis proved that at the aggregate level, a one percent increase in climate change caused a 0.02266-tonne decline in coastal ecosystems in the four largest coastline nations. There is a need for policies tend to increase CAP activities by implementing practical marine protected areas. Furthermore, scientific research and monitoring will be beneficial in restoring coastal sustainability.
Complete mitochondrial genome of the mudskipper Boleophthalmus boddarti (Perciformes, Gobiidae)

Zhang YT, Ghaffar MA, Li Z, Chen W, Chen SX, Hong WS

Mitochondrial DNA, 2016;27(1):62-4.
PMID: 24438254 DOI: 10.3109/19401736.2013.873901

The Boddart's goggle-eyed mudskipper, Boleophthalmus boddarti (Perciformes, Gobiidae) is an amphibious fish, inhabiting brackish waters of estuaries and builds burrows in soft mud along the intertidal zone. In this paper, the complete mitochondrial genome sequence of B. boddarti was firstly determined. The circle genome (16,727 bp) comprises 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes and 1 control region. The overall base composition of B. boddarti is 29.1% for C, 28.9% for A, 25.9% for T, and 16.0% for G, with a slight A + T bias of 54.8%. The termination-associated sequence, conserved sequence block domains, and a 131-bp tandem repeat were found in the control region. It has the typical vertebrate mitochondrial gene arrangement.
Fulltext Microbial diversity of milk ghee in southern Gansu and its effect on the formation of ghee flavor compounds

Liu Z, Li H, Gao D, Su J, Su Y, Ma Z, et al.

Open Life Sci, 2022;17(1):1629-1640.
PMID: 36567720 DOI: 10.1515/biol-2022-0516

Ghee is a traditional Tibetan dairy product with high-fat content, low yield, plasticity, caseation, and rich nutrition. In this study, we analyzed the diversity of microbial communities in yak milk and ghee samples at high and low altitudes, especially the Lactobacillus genus, and further used metabolomic techniques to compare the differences in metabolites in yak ghee at different altitudes. The results showed that the increase in altitude had a significant and generally inhibitory effect on the microbial community diversity in milk ghee, and yak milk at high altitude was abundant in nutrients, which could antagonize the negative impact of increased altitude. Using non-targeted metabolomics, we infer the composition of flavor compounds in ghee: nine kinds of carboxylic acids, 11 kinds of esters, six kinds of ketones, two kinds of alcohols, and four kinds of alkene compounds, among which the key flavor compounds are dl-2-(acetylamino)-3-phenylephrine acid, 1-(4-methoxyphenyl)-2-propanone, sebacic acid, Lysope 18:1, and uracil 1-beta-d-arabinofuranoside. These flavor substances are found in Lactococcus, Lactobacillus, and Streptococcus. With the participation of Lactobacillus, it is synthesized through biosynthesis of alkaloids derived from ornithine, lysine, and nicotine acid and glyoxylate and decarboxylate metabolism, among which Lactococcus plays a key role. In this study, a variety of lactic acid bacteria related to ghee fermentation were screened out, revealing the composition of volatile flavor compounds in Gannan yak milk ghee in the Qinghai-Tibet Plateau and providing a reference for further key volatile flavor compounds and the formation mechanism of flavor compounds.
Fulltext A discussion of microplastics in soil and risks for ecosystems and food chains

Li Z, Yang Y, Chen X, He Y, Bolan N, Rinklebe J, et al.

Chemosphere, 2023 Feb;313:137637.
PMID: 36572363 DOI: 10.1016/j.chemosphere.2022.137637

Microplastics are among the major contaminations in terrestrial and marine environments worldwide. These persistent organic contaminants composed of tiny particles are of concern due to their potential hazards to ecosystem and human health. Microplastics accumulates in the ocean and in terrestrial ecosystems, exerting effects on living organisms including microbiomes, fish and plants. While the accumulation and fate of microplastics in marine ecosystems is thoroughly studied, the distribution and biological effects in terrestrial soil call for more research. Here, we review the sources of microplastics and its effects on soil physical and chemical properties, including water holding capacity, bulk density, pH value as well as the potential effects to microorganisms and animals. In addition, we discuss the effects of microplastics in combination with other toxic environmental contaminants including heavy metals and antibiotics on plant growth and physiology, as well as human health and possible degradation and remediation methods. This reflect is an urgent need for monitoring projects that assess the toxicity of microplastics in soil and plants in various soil environments. The prospect of these future research activities should prioritize microplastics in agro-ecosystems, focusing on microbial degradation for remediation purposes of microplastics in the environment.
Fulltext Do oil, gold and metallic price volatilities prove gold as a safe haven during COVID-19 pandemic? Novel evidence from COVID-19 data

Cui M, Wong WK, Wisetsri W, Mabrouk F, Muda I, Li Z, et al.

Resour Policy, 2023 Jan;80:103133.
PMID: 36438678 DOI: 10.1016/j.resourpol.2022.103133

The spreading COVID-19 outbreak has wreaked havoc on the world's financial system that raises an urgent need for the re-evaluation of the gold as safe haven for their money because of the unprecedented challenges faced by markets during this period. Therefore, the current study investigates whether different asset class volatility indices affect desirability of gold as a safe-haven commodity during COVID-19 pandemic. Long run and the short run relationship of gold prices with gold price volatility, oil price volatility, silver price volatility and COVID-19 (measured by the number of deaths due to COVID) has been analyzed in the current study by applying ARDL Bound testing cointegration and non linear ARDL approach on daily time series data ranging from January 2020 to Dec 2021. Findings of the study suggest that in the long run, oil price volatility and gold price volatility positively affect the gold prices, whereas the effect of silver price volatility on gold prices is negative in the long run. However in the short run, all the three indices negatively impact the gold prices. In contrast, the impact of COVID-19 is positive both in the short run and in the long run that proves the validity of gold as safe haven asset in the time of the deadly pandemic. The findings of this study have significant implications and offer investors with some indications to hedge their investments by considering the gold's ability of safe haven during this era of pandemic.
The Association Between Depth of the Olfactory Sulcus, Age, Gender and Olfactory Function: An MRI-based Investigation in More Than 1000 Participants

Li Z, Abdul Manan H, Heitmann H, Witte V, Wirkner K, Riedel-Heller S, et al.

Neuroscience, 2023 May 21;519:31-37.
PMID: 36934780 DOI: 10.1016/j.neuroscience.2023.03.017

OBJECTIVE: The present study aimed to investigate the relationship between olfactory sulcus (OS) depth and olfactory function considering age and gender and to provide normative data on OS depth in a population with normal olfactory function.
MATERIALS AND METHODS: OS depth was obtained using T1 magnetic resonance imaging scans. Participants (mean age ± sd = 57 ± 16 years, ranging from 20 to 80 years) were screened for olfactory function using the Sniffin' Sticks Screening 12 test. They were divided into an olfactory dysfunction group (n = 604) and a normosmia group (n = 493). Participants also completed questionnaires measuring depression, anxiety and quality of life.
RESULTS: The right OS was deeper than the left side in all age groups. On the left side, women had deeper OS compared with men, exhibiting a higher degree of symmetry in left and right OS depth in women. Variance of olfactory function was largely determined by age, OS depth explained only minor portions of this variance. Normative data for minimum OS depth was 7.55 mm on the left and 8.78 mm on the right for participants aged between 18 and 35 years (n = 144), 6.47 mm on the left and 6.99 mm on the right for those aged 36-55 years (n = 120), and 5.28 mm on the left and 6.19 mm on the right for participants older than 55 years (n = 222).
CONCLUSION: Considering the limited resolution of the presently used T1 weighted MR scans and the nature of the olfactory screening test, OS depth explained only minor portions of the variance of olfactory function, which was largely determined by age. Age-related normative data of OS depth are presented as a reference for future work.
Fulltext Heartbeat sound classification using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) and artificial bee colony

Keikhosrokiani P, Naidu A/P Anathan AB, Iryanti Fadilah S, Manickam S, Li Z

Digit Health, 2023;9:20552076221150741.
PMID: 36655183 DOI: 10.1177/20552076221150741

Cardiovascular disease is one of the main causes of death worldwide which can be easily diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The murmur sound happens at the Lub-Dub, which indicates there are abnormalities in the heart. However, using the stethoscope for listening to the heartbeat sound requires a long time of training then only the physician can detect the murmuring sound. The existing studies show that young physicians face difficulties in this heart sound detection. Use of computerized methods and data analytics for detection and classification of heartbeat sounds will improve the overall quality of sound detection. Many studies have been worked on classifying the heartbeat sound; however, they lack the method with high accuracy. Therefore, this research aims to classify the heartbeat sound using a novel optimized Adaptive Neuro-Fuzzy Inferences System (ANFIS) by artificial bee colony (ABC). The data is cleaned, pre-processed, and MFCC is extracted from the heartbeat sounds. Then the proposed ABC-ANFIS is used to run the pre-processed heartbeat sound, and accuracy is calculated for the model. The results indicate that the proposed ABC-ANFIS model achieved 93% accuracy for the murmur class. The proposed ABC-ANFIS has higher accuracy in compared to ANFIS, PSO ANFIS, SVM, KSTM, KNN, and other existing studies. Thus, this study can assist physicians to classify heartbeat sounds for detecting cardiovascular disease in the early stages.
Contemporaneous and temporal network analysis of complex Posttraumatic stress disorder among Chinese college students with Childhood adversity: A longitudinal study

Liu A, Ren Y, Yang S, Li Z, Zhu Z, Zhang LM, et al.

Psychiatry Res, 2024 Jun;336:115872.
PMID: 38581767 DOI: 10.1016/j.psychres.2024.115872

OBJECTIVE: To enhance understanding of the longitudinal progression of complex posttraumatic stress disorder (CPTSD) symptoms, this longitudinal study examined how CPTSD symptoms interact over time in Chinese college students with childhood trauma.
METHODS: From 18,933 college students who took part in two surveys 12 months apart, 4,006 participants who reported adverse childhood experiences were screened. Cross-sectional network comparisons and cross-lagged panel network (CLPN) analysis characterized interactions among CPTSD symptoms.
RESULTS: In the cross-sectional networks, feeling like a failure and avoid activities reminiscent of the trauma were the central symptoms. Takes long time to calm down and exaggerated startle are important bridge symptoms in the two networks respectively. The comparison of cross-sectional networks indicates that the global network strength was stable. The findings of the CLPN model reveal that feel worthless and feel like a failure had the highest "out" expected influence; exaggerated startle and avoid thoughts and feelings about the trauma had the highest "in" expected influence.
CONCLUSIONS: By conducting cross-sectional network analyses, the study illuminated the attributes of CPTSD networks across various time points. Additionally, the CLPN analysis uncovered the longitudinal patterns of CPTSD symptoms.
Fulltext A comprehensive bibliometric survey of micro-expression recognition system based on deep learning

Ahmad A, Li Z, Iqbal S, Aurangzeb M, Tariq I, Flah A, et al.

Heliyon, 2024 Mar 15;10(5):e27392.
PMID: 38495163 DOI: 10.1016/j.heliyon.2024.e27392

Micro-expressions (ME) are rapidly occurring expressions that reveal the true emotions that a human being is trying to hide, cover, or suppress. These expressions, which reveal a person's actual feelings, have a broad spectrum of applications in public safety and clinical diagnosis. This study provides a comprehensive review of the area of ME recognition. A bibliometric and network analysis techniques is used to compile all the available literature related to ME recognition. A total of 735 publications from the Web of Science (WOS) and Scopus databases were evaluated from December 2012 to December 2022 using all relevant keywords. The first round of data screening produced some basic information, which was further extracted for citation, coupling, co-authorship, co-occurrence, bibliographic, and co-citation analysis. Additionally, a thematic and descriptive analysis was executed to investigate the content of prior research findings, and research techniques used in the literature. The year wise publications indicated that the published literature between 2012 and 2017 was relatively low but however by 2021, a nearly 24-fold increment made it to 154 publications. The three topmost productive journals and conferences included IEEE Transactions on Affective Computing (n = 20 publications) followed by Neurocomputing (n = 17) and Multimedia tools and applications (n = 15). Zhao G was the most proficient author with 48 publications and the top influential country was China (620 publications). Publications by citations showed that each of the authors acquired citations ranging from 100 to 1225. While publications by organizations indicated that the University of Oulu had the most published papers (n = 51). Deep learning, facial expression recognition, and emotion recognition were among the most frequently used terms. It has been discovered that ME research was primarily classified in the discipline of engineering, with more contribution from China and Malaysia comparatively.
Fulltext Exploring antecedents and outcomes of burnout among emergency department staff using the job demands-resources model: A scoping review protocol

Yang L, Lei Y, Chu D, Jiang J, Li Z, Tang Y, et al.

PLoS One, 2024;19(3):e0300040.
PMID: 38483916 DOI: 10.1371/journal.pone.0300040

INTRODUCTION: High levels of burnout are prevalent among Emergency Department staff due to chronic exposure to job stress. There is a lack of knowledge about anteceding factors and outcomes of burnout in this population.
AIMS: To provide a comprehensive overview of burnout and identify its workplace antecedents and outcomes among Emergency Department staff.
METHODS: The scoping study will follow the methodology outlined by the Joanna Briggs Institute. PubMed, Scopus, Web of Science, APA PsycInfo, and CINAHL databases will be searched using predefined strategies. Two reviewers will screen the title, abstract and full text separately based on the eligibility criteria. Data will be charted, coded, and narratively synthesized based on the job demands-resources model.
CONCLUSION: The results will provide insights into the underlying work-related factors contributing to burnout and its implications for individuals, healthcare organizations, and patient care.
Instant catapult steam explosion combined with ammonia water: A complex technology for detoxification of aflatoxin-contaminated peanut cake with the aim of producing a toxicity-free and nutrients retention of animal feed

Xie H, Gao L, Li Z, Mao G, Zhang H, Wang F, et al.

Heliyon, 2024 Jun 30;10(12):e32192.
PMID: 39021920 DOI: 10.1016/j.heliyon.2024.e32192

Aflatoxin is one of the most toxic biotoxins found in contaminated agricultural products. It has strong mutagenicity, carcinogenesis and teratogenicity to humans and animals. In this study, instant catapult steam explosion combined with ammonia water was examined for its potential to degrade aflatoxin B1 in peanut cake in order to improve its utilization as a toxic-free animal feed. Incubation of AFB1-containing peanut cake followed by processing with Instant Catapult Steam Explosion (ICSE) led to approximately 79.03 % degradation of AFB1, while the degradation of AFB1 was up to 91.48 % under the treatment of ICSE combined with 4 % NH₃·H₂O at 1.2 MPa in 200 s of process time. After treatment, nutrients in peanut cake were not significantly changed. The toxicity of AFB1 degradation products was evaluated and the results showed that the toxicity of these products were found to be substantially less than that possessed by AFB1. A low chemical pollution, efficient and toxic-free technology system of AFB1 degradation was established, which detoxify aflatoxin-contaminated biomass for sustainable and safe utilization of agricultural biomass as animal feed.
Fulltext Research hotspots and trends in healthcare workers' resilience: A bibliometric and visualized analysis

Yang L, Li Z, Lei Y, Liu J, Zhang R, Lei W, et al.

Heliyon, 2024 Aug 15;10(15):e35107.
PMID: 39170181 DOI: 10.1016/j.heliyon.2024.e35107

BACKGROUND: The resilience of healthcare workers has gained increasing attention, yet comprehensive studies focusing on recent trends and developments are scarce. We conducted an extensive bibliometric analysis from inception to 2023 to address this gap.
METHODS: Publications on healthcare workers' resilience were extracted from the Web of Science Core Collection database. Bibliometric analysis was conducted with CiteSpace, VOSviewer, and Scimago Graphica, focusing on annual publications, country/region, institution, journal, author, keyword analysis, and reference co-citation analysis related to resilience in healthcare workers.
RESULTS: The analysis included 750 documents, revealing a general upward trend in publications across 67 countries/regions, 1,251 institutions, and 3,166 authors. The USA and China emerged as the top contributors, with 192 and 168 publications, respectively. Based on keyword analysis and reference co-citation analysis, the focus areas include the Resilience Scale, the impact of the COVID-19 pandemic on HCWs and their resilience, and nurse resilience.
CONCLUSION: This study highlights the growing interest in healthcare workers' resilience by using bibliometric and visualization techniques for effective analysis. This paper will enhance scholars' understanding of the dynamic evolution of healthcare workers' resilience and identify emerging research topics.
Research progress of the Otubains subfamily in hepatocellular carcinoma

Wu Y, Mohd Sani SB, Peng K, Lin T, Tan C, Huang X, et al.

Biomed Pharmacother, 2024 Aug 28;179:117348.
PMID: 39208669 DOI: 10.1016/j.biopha.2024.117348

In cancer research, oncogenesis can be affected by modulating the deubiquitination pathway. Ubiquitination regulates proteins post-translationally in variety of physiological processes. The Otubain Subfamily includes OTUB1 (ovarian tumor-associated proteinase B1) and OTUB2(ovarian tumor-associated proteinase B2). They are deubiquitinating enzymes, which are research hotspots in tumor immunotherapy, with their implications extending across the spectrum of tumor development. Understanding their important role in tumorigenesis, includ-ing hepatocellular carcinoma (HCC) is crucial. HCC has alarming global incidence rates and mortality statistics, ranking among the top five prevalent cancers in Malaysia1. Numerous studies have consistently indicated significant expression of OTUB1 and OTUB2 in HCC cells. In addition, OTUB1 has important biological functions in cancer, suggesting its important role in tumorigenesis. However, the mechanism underlying the action of OTUB1 and OTUB2 in liver cancer remains inadequately explored. Therefore, Otubain Subfamily, as potential molecular target, holds promise for advancing HCC treatments. However, further clinical studies are required to verify its efficacy and application prospects.
Prediction models for intradialytic hypotension in hemodialysis patients: A protocol for systematic review and critical appraisal

Li Z, Yang L, Xi Z, Yi W, Zeng X, Ma D, et al.

PLoS One, 2024;19(9):e0310191.
PMID: 39250467 DOI: 10.1371/journal.pone.0310191

Intradialytic hypotension (IDH) is common in hemodialysis patients and can lead to several complications. Risk factors for IDH include demographic characteristics, comorbidities, dialysis procedure factors, and so on. Clinical studies on predictive models for dialysis-induced hypotension have shown inconsistent results. This systematic review aims to evaluate published prediction models for IDH, analyzing their characteristics, predictors, efficacy, and the methodological quality and applicability. The protocol has been prepared using the Preferred Items for Systematic Review and Meta-analysis Protocols (PRISMA-P) guidelines. The systematic review protocol for IDH prediction in hemodialysis patients has been registered with the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY2023110081, DOI: 10.37766/inplasy2023.11.0081). A comprehensive search across five major databases (PubMed, Web of Science, Cochrane Library, CNKI, and Wanfang) will be conducted for studies on prediction models of IDH among hemodialysis patients. Two researchers will independently screen literature, extract data, and evaluate the bias risk and applicability of included studies using prediction modelling study tools. This systematic review will provide critical insights into the efficacy and quality of reporting of the IDH model in hemodialysis patients. This will guide clinical staff in selecting the most appropriate IDH prediction model and inform future research endeavors in IDH prediction.
Editorial: Omics-driven crop improvement for stress tolerance, Volume II

Han Y, Qi W, Chen J, Li Z, Su X, Yeo FKS

Front Plant Sci, 2024;15:1461217.
PMID: 39253577 DOI: 10.3389/fpls.2024.1461217
Tailpipe emissions and fuel consumption of a heavy-duty diesel vehicle using palm oil biodiesel blended fuels

He L, Li Y, Min Y, Yoong J, Chen S, Jiao J, et al.

Sci Total Environ, 2024 Dec 10;955:177048.
PMID: 39447901 DOI: 10.1016/j.scitotenv.2024.177048

Biodiesel application, such as using waste cooking oil biodiesel in Shanghai, China, is a sustainable solution that addresses the challenges posed by escalating air pollution, energy security, and climate change. Future efforts may involve blending biodiesel from alternative sources like crude palm oil with diesel in China. This study tested a China V heavy-duty diesel vehicle equipped with a selective catalytic reduction (SCR) system using various palm oil biodiesel blended fuels (i.e., B0, B5, B10, and B20). The findings indicated that using biodiesel blends led to reductions in carbon monoxide (CO), hydrocarbon (HC), and particle number (PN) emissions compared to B0, while nitrogen oxide (NOX) emissions remained similar. Higher biodiesel content significantly reduced petroleum diesel consumption, but no statistically significant differences were found in total carbon dioxide (CO2) emissions and fuel consumption. Various factors such as vehicle speed, payload, and cold starts influence tailpipe emissions and fuel consumption. Specifically, high-speed phases notably reduced CO, HC, and PN emissions with the use of biodiesel blends. Lower payloads were linked to decreased CO2 emissions and fuel consumption but increased NOX emissions. Cold starts increased HC and NOX emissions, especially with higher biodiesel blending ratios. These results can provide valuable empirical insights into palm oil biodiesel emissions.
Fulltext The relationship between compulsory citizenship behavior and nurses' silence: a cross-sectional study

Li Z, Yang L, Xi Z, Yi W, Fu Y, Chang C, et al.

BMC Nurs, 2025 Jan 06;24(1):14.
PMID: 39762839 DOI: 10.1186/s12912-024-02677-3

AIM: This study aimed to assess the relationship between compulsory citizenship behavior and nurses' silence.
METHODS: A descriptive cross-sectional online study was conducted in October 2023, targeting 402 nurses working in Yichang Central People's Hospital, Hubei Province, China. Data were collected through a structured questionnaire comprising demographic details, the Compulsory Citizenship Behavior Scale, and the Nurses' Silence Scale. Statistical analyses were conducted using SPSS 25.0, including descriptive statistics, t-tests, one-way ANOVA, Pearson correlation, and hierarchical regression analyses.
RESULTS: The study revealed that the overall mean score for nurses' compulsory citizenship behavior was 14.63 (3.99), while the overall mean score for nurses' silence was 32.78 (8.28). Significant differences in compulsory citizenship behavior scores were observed among nurses with varying levels of work experience (P

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