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The investigation of triggers causing the onset and intensification of Northern Hemisphere Glaciation (NHG) during the late Pliocene is essential for understanding the global climate system, with important implications for projecting future climate changes. Despite their critical roles in the global climate system, influences of land-ocean interactions on high-latitude ice sheets remain largely unexplored. Here, we present a high-resolution Asian dust record from Ocean Drilling Program Site 1208 in the North Pacific, which lies along the main route of the westerlies. Our data indicate that atmosphere-land-ocean interactions affected aeolian dust emissions through modulating moisture and vegetation in dust source regions, highlighting a critical role of terrestrial systems in initiating the NHG as early as 3.6 Myr ago. Combined with additional multi-proxy and model results, we further show that westerly wind strength was enhanced, mainly at low-to-middle tropospheric levels, during major glacial events at about 3.3 and 2.7 Myr ago. We suggest that coupled responses of Earths surface dynamics and atmospheric circulation in the Plio-Pleistocene likely involved feedbacks related to changes in paleogeography, ocean circulation, and global climate.

Abstract Background Circulating tumor cells (CTCs) are a promising biomarker for assessment of prognosis. The study was to analyse the relationship between preoperative and postoperative peripheral blood CTC and clinical features and prognosis in patients with tongue squamous cell carcinoma (TSCC). Methods 85 with TSCC and 30 tongues with benign disease who underwent surgical treatment from May 2016 to May 2023 were retrospectively analysed. CTC testing was performed twice for TSCC group before and after surgery and only before the surgery for the benign disease group, only one test was performed before surgery.The association of CTCs with clinical features and progression-free survival (PFS) was also analyzed. Results The positive rates of CTCs in patients with TSCC were 90.6% before treatment and 72.9% after treatment, respectively. CTCs were not detected in patients with benign disease group before treatment. There was no significant difference in the number of CTCs before and after treatment in patients with disease progression (P > 0.05). However, the number of CTCs after treatment in patients with disease remission (DR) and stable disease (SD) was significantly lower than before treatment, and the difference was statistically significant (P

Abstract Background Emphysematous pyelonephritis is a rare and severe urinary tract infection that is potentially life-threatening and easily progresses to septic shock. In this report, we present a unique case of emphysematous pyelonephritis caused by Raoultella ornithinolytica. Case presentation An 86-year-old man presented with severe back pain of 3 days’ duration. He had a history of hypertension and diabetes for more than 20 years, and his infection indicators and serum creatinine were elevated. Abdominal computed tomography revealed an abnormal gas shadow around his right kidney and the anterior edge of his right psoas muscle. Consequently, he was initially diagnosed with emphysematous pyelonephritis. There was no evidence of nephrolithiasis or other anatomical or structural abnormalities that could have precipitated this focal renal infection. Both blood and drainage fluid cultures revealed R. ornithinolytica. After early anti-infection treatment, percutaneous drainage and moderate control of blood glucose, the patient gradually recovered. Conclusions Emphysematous pyelonephritis caused by R. ornithinolytica is rare but has a high drug resistance rate potentially and may cause severe infections. Early diagnosis, prompt use of antibiotics that are sensitive to the organism, and decompression drainage could be the key to treatment.

Abstract To explore the performance of 99mTc-diethylene triaminepentaacetic acid (DTPA) SPECT/CT texture analysis in evaluating the activity of thyroid-associated ophthalmopathy (TAO) . This retrospective study examined 115 TAO patients from a single institution as an internal cohort and 58 TAO patients from another institution as an external validation set. Patients in the internal cohort were randomly divided into training (n = 81) and internal validation sets (n = 34). Radiomics signatures were constructed with the minimal redundancy maximal relevance and least absolute shrinkage and selection operator algorithms in training set. Multivariate logistic regression analysis was used to develop a clinical model and a combined clinical–radiomics model. Diagnostic performance of models was evaluated using receiver operating characteristic curve analysis, calibration curves and decision curve analysis. Compared with CT and SPECT radiomics models, Rad-scoreSPECT/CT demonstrated the best performance with areas under the receiver operating characteristic curve of 0.94 and 0.91 in the training and test sets, respectively. The combined clinical-radiomics model exhibited significantly better performance in evaluating TAO activity. Our results demonstrate the validity of a multimodal radiomic model of 99mTc-DTPA-SPECT/CT to assess TAO activity. The combined clinical-radiomics model exhibited significantly better diagnostic performance than the clinical model.

Abstract For coordinated regional growth and the development of high-quality manufacturing, China must narrow its regional energy efficiency gap and catch up inter-regionally. This paper focuses on whether China’s inter-provincial manufacturing energy efficiency has technological diffusion and a catch-up effect and explores its possible influencing factors, which are important for narrowing the differences in China’s manufacturing energy efficiency and promoting the improvement of the overall level of efficiency. Between 2011 and 2020, 30 Chinese manufacturing industries will be evaluated using a non-radial distance function model under environmental conditions. By employing the Dagum Gini coefficient method, regional disparities were analyzed, with hyper-variable density and efficiency discrepancies between regions making a noteworthy contribution. This paper evaluated a catch-up effect by constructing a frontier productivity model that considered the influence of China’s manufacturing energy efficiency. Results show a general rise in energy efficiency, particularly in coastal regions, higher than inland ones. The Gini coefficient of energy efficiency in manufacturing experienced a slight increase; however, when comparing it to the regional efficiency frontier, the catch-up effect and technology diffusion effect of China’s provincial manufacturing energy efficiency become more pronounced when taking into account the national efficiency frontier; the sub-regional manufacturing energy efficiency catch-up effect has different performances; the catch-up and technology diffusion effect is more evident after controlling for Economic development, innovation levels, the environmental regulation, and the proportion of high-energy-consumption output value and other influencing factors.

Abstract Data-driven decision making (DDDM) is becoming an indispensable component of work across various fields, and the perception of aberrant data (PAD) has emerged as an essential skill. Nonetheless, the neural processing mechanisms underpinning PAD remain incompletely elucidated. Direct evidence linking neural oscillations to PAD is currently lacking, and the impact of cognitive load remains ambiguous. We address this issue using EEG time-frequency analysis. Data were collected from 21 healthy participants. The experiment employed a 2 (low vs. high cognitive load) × 2 [PAD+ (aberrant data accurately identified as aberrant) vs. PAD- (non-aberrant data correctly recognized as normal)] within-subject laboratory design. Results indicate that upper β band oscillations (26–30 Hz) were significantly enhanced in the PAD + condition compared to PAD-, with consistent activity observed in the frontal (p

Abstract Background Several studies have reported that combination antiretroviral therapy (cART) enhances the hepatitis B surface antigen (HBsAg) clearance rate in Human Immunodeficiency Virus-1/Hepatitis B Virus (HIV/HBV) coinfected patients, yet the associated immunological characteristics remain unclear. Methods Global and specific immune phenotypic profiles were examined in 48 patients with HIV/HBV coinfection before cART and at 1-year, and 3-year after cART using flow cytometry. In addition, 61 patients with HBV monoinfection were included for comparison. Results HBsAg response (sAg-R) was defined as > 0.5 log decrease within six months of cART initiation, and 16 patients achieved it. Patients with sAg-R (the sAg-R group) exhibited distinct immune phenotypes compared to those of HBsAg-retained patients (the sAg-NR group). Notably, patients with sAg-R had lower CD4+ T cell counts and a higher number of HBcAg-specific T cells. Further, the sAg-R group exhibited upregulation of HLA-DR, Ki67, and PD-1 in CD4+ T cells and heightened HLA-DR and T-bet in CD8+ T cells. However, the sAg-R group had fewer TEMRA cells but more TEM and Th17 cells than those in the sAg-NR group. Expression of various markers, including HLA-DR+CD4+, Ki67+CD4+, PD-1+CD4+, CD38+CD8+, HLA-DR+CD8+, TIM-3+CD8+, HBV-specific CD4+ T cell secreting IFN-γ and IL-2, and specific CD8+ T cell secreting IFN-γ and IL-2, correlated with HBsAg decrease. Conclusion The decline in HBsAg levels during cART in HIV/HBV coinfection involves significant alterations in CD4+ and CD8+ T cells phenotypes, offering a novel perspective on a functional HBV cure.

Some core designs integrate high-enriched fuel and moderator materials to enhance neutron utilization. This combination results in a broad spectrum within the system, posing challenges in resonance calculation. This paper introduces a general framework to realize resonance self-shielding treatment in broad-spectrum fuel lattice problems. The framework consists of three components. First, a new energy group structure is devised to support resonance calculation in the entire energy range and capture spectral transition and thermalization effects during eigenvalue calculation. Second, the subgroup method based on narrow approximation is selected as a universal method to perform resonance calculation. Finally, transport equations for each fissionable region are solved for neutron flux to collapse the fission spectrum. The proposed method is verified against fast, intermediate, and thermal spectrum pin cell problems and an assembly problem featuring a fast-thermal coupled spectrum. Numerical results affirm the accuracy of the proposed method in handling these scenarios, with eigenvalue errors below 154 pcm for pin cell problems and 106 pcm for the assembly problem. The verification results revealed that the proposed method enables accurate resonance self-shielding treatment for broad-spectrum problems.

Abstract Background The purpose of the present study was to evaluate the efficacy and safety of da Vinci robot-assisted thoracoscopic surgery (RATS) versus video-assisted thoracoscopic surgery (VATS) for the treatment of patients with mediastinal tumors of different body mass indices (BMI). Methods A retrospective cohort study was used to collect 260 patients with mediastinal tumors admitted to three medical centers in China from December 2020 to March 2024. These patients underwent mediastinal tumor resection by RATS (n = 125) or VATS (n = 135). Propensity score matching (PSM) analysis was performed for the both groups, and further, the patients were divided into the N-BMI group (18.5 kg/m2 ≤ BMI

High purity and ultrafine DAAF (u-DAAF) is an emerging insensitive charge in initiators. Although there are many ways to obtain u-DAAF, developing a preparation method with stable operation, accurate control, good quality consistency, equipment miniaturization, and minimum manpower is an inevitable requirement to adapt to the current social technology development trend. Here reported is the microfluidic preparation of u-DAAF with tunable particle size by a passive swirling microreactor. Under the guidance of recrystallization growth kinetics and mixing behavior of fluids in the swirling microreactor, the key parameters (liquid flow rate, explosive concentration and crystallization temperature) were screened and optimized through screening experiments. Under the condition that no surfactant is added and only experimental parameters are controlled, the particle size of recrystallized DAAF can be adjusted from 98 nm to 785 nm, and the corresponding specific surface area is 8.45 m2·g−1 to 1.33 m2·g−1. In addition, the preparation method has good batch stability, high yield (90.8%–92.6%) and high purity (99.0%–99.4%), indicating a high practical application potential. Electric explosion derived flyer initiation tests demonstrate that the u-DAAF shows an initiation sensitivity much lower than that of the raw DAAF, and comparable to that of the refined DAAF by conventional spraying crystallization method. This study provides an efficient method to fabricate u-DAAF with narrow particle size distribution and high reproducibility as well as a theoretical reference for fabrication of other ultrafine explosives.

Abstract Objective Develop a practical scoring system based on radiomics and imaging features, for predicting the malignant potential of incidental indeterminate small solid pulmonary nodules (IISSPNs) smaller than 20 mm. Methods A total of 360 patients with malignant IISSPNs (n = 213) and benign IISSPNs (n = 147) confirmed after surgery were retrospectively analyzed. The whole cohort was randomly divided into training and validation groups at a ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) algorithm was used to debase the dimensions of radiomics features. Multivariate logistic analysis was performed to establish models. The receiver operating characteristic (ROC) curve, area under the curve (AUC), 95% confidence interval (CI), sensitivity and specificity of each model were recorded. Scoring system based on odds ratio was developed. Results Three radiomics features were selected for further model establishment. After multivariate logistic analysis, the combined model including Mean, age, emphysema, lobulated and size, reached highest AUC of 0.877 (95%CI: 0.830–0.915), accuracy rate of 83.3%, sensitivity of 85.3% and specificity of 80.2% in the training group, followed by radiomics model (AUC: 0.804) and imaging model (AUC: 0.773). A scoring system with a cutoff value greater than 4 points was developed. If the score was larger than 8 points, the possibility of diagnosing malignant IISSPNs could reach at least 92.7%. Conclusion The combined model demonstrated good diagnostic performance in predicting the malignant potential of IISSPNs. A perfect accuracy rate of 100% can be achieved with a score exceeding 12 points in the user-friendly scoring system.

Introducing additional oxidizers in aluminized explosives is an effective way to improve energy performance by enhancing the secondary combustion reaction. In this work, perfluorocarbon as oxidizer has been introduced into TATB/Al based energetic materials to improve combustion reaction and energy output performance. The uniform TATB/Al/perfluorocarbon composites are prepared through acoustic resonance mixed technology, and the energy and pressure output performance are fully studied in air blast and underwater explosion. A significantly exothermic peak derived from the reaction between fluorine and Al is observed between 540 ℃ and 580 ℃ for TATB/Al/perfluorocarbon. The heat of explosion of TATB/Al/perfluorocarbon is increased first and then decreased with F/Al ratio from 0 to 0.608. The highest heat of explosion is 6021 J/g for TATB/Al/perfluorocarbon with F/Al ratio of 0.274. Furthermore, the enhanced working capacity, the significantly enlarged fireball and relatively high overpressure are obtained for TATB/Al/perfluorocarbon. More importantly, the shock impulse and first bubble oscillation time of TATB/Al/perfluorocarbon have been increased by 23.2% and 21.18% during underwater explosion, respectively. The results further illustrate that adding perfluorocarbon is a feasible approach to enhance energy output due to combustion reaction between fluorine and Al, which can be applied in explosives and propellants.

Let $ \mathbb{F}_q $ be the finite field of $ q $ elements, and $ \mathbb{F}_{q^{n}} $ its extension of degree $ n $. A normal basis of $ \mathbb{F}_{q^{n}} $ over $ \mathbb{F}_q $ is a basis of the form $ \{\alpha, \alpha^{q}, \cdots, \alpha^{q^{n-1}}\} $. Some problems on normal bases can be finally reduced to the determination of the irreducible factors of the polynomial $ x^{n}-1 $ in $ \mathbb{F}_q $, while the latter is closely related to the cyclotomic polynomials. Denote by $ \mathfrak{F}(x^{n}-1) $ the set of all distinct monic irreducible factors of $ x^{n}-1 $ in $ \mathbb{F}_q $. The criteria for $ |\mathfrak{F}(x^{n}-1)|\leq 2 $ have been studied in the literature. In this paper, we provide the sufficient and necessary conditions for $ |\mathfrak{F}(x^{n}-1)| = s, $ where $ s $ is a positive integer by using the properties of cyclotomic polynomials and results from the Diophantine equations. As an application, we obtain the sufficient and necessary conditions for $ |\mathfrak{F}(x^{n}-1)| = 3, 4, 5. $

Abstract Fertility requires the faithful proliferation of germ cells and their differentiation into gametes. Controlling these cellular states demands precise timing and expression of gene networks. Nucleic acid binding proteins (NBPs) play critical roles in gene expression networks that influence germ cell development. There has, however, been no functional analysis of the entire NBP repertoire in controlling in vivo germ cell development. Here, we analyzed germ cell states and germline architecture to systematically investigate the function of 364 germline-expressed NBPs in the Caenorhabditis elegans germ line. Using germline-specific knockdown, automated germ cell counting, and high-content analysis of germ cell nuclei and plasma membrane organization, we identify 156 NBPs with discrete autonomous germline functions. By identifying NBPs that control the germ cell cycle, proliferation, differentiation, germline structure and fertility, we have created an atlas for mechanistic dissection of germ cell behavior and gamete production.

Abstract Background Melkersson-Rosenthal syndrome (MRS) is a rare neuro-mucocutaneous disorder characterized by recurrent edema, facial palsies, and nerve dysfunctions often associated with the plicata tongue. Although the etiology of MRS is not well understood, there is growing evidence suggesting an autoimmune involvement. Case presentation This paper presents a case report of a 25-year-old male with MRS as the initial symptom, followed by temporomandibular joint osteoarthritis (TMJ-OA). A comprehensive diagnosis and multidisciplinary treatment approach including surgery, local injections, and oral medication were implemented, resulting in a favorable prognosis. Conclusions These findings support the hypothesis that MRS is a systemic granulomatous disease caused by autoimmunity, which may also influence the occurrence and development of TMJ-OA through immune-related mechanisms. This study emphasizes the significance of systemic immune regulation in the treatment of patients with MRS and TMJ-OA comorbid conditions.

Abstract In response to the challenges of Multi‐Object Tracking (MOT) in sports scenes, such as severe occlusions, similar appearances, drastic pose changes, and complex motion patterns, a deep‐learning framework CTGMOT (CNN‐Transformer‐GNN‐based MOT) specifically for multiple athlete tracking in sports videos that performs joint modelling of detection, appearance and motion features is proposed. Firstly, a detection network that combines Convolutional Neural Networks (CNN) and Transformers is constructed to extract both local and global features from images. The fusion of appearance and motion features is achieved through a design of parallel dual‐branch decoders. Secondly, graph models are built using Graph Neural Networks (GNN) to accurately capture the spatio‐temporal correlations between object and trajectory features from inter‐frame and intra‐frame associations. Experimental results on the public sports tracking dataset SportsMOT show that the proposed framework outperforms other state‐of‐the‐art methods for MOT in complex sport scenes. In addition, the proposed framework shows excellent generality on benchmark datasets MOT17 and MOT20.

Abstract Neurons coordinate inter-tissue protein homeostasis to systemically manage cytotoxic stress. In response to neuronal mitochondrial stress, specific neuronal signals coordinate the systemic mitochondrial unfolded protein response (UPRmt) to promote organismal survival. Yet, whether chemical neurotransmitters are sufficient to control the UPRmt in physiological conditions is not well understood. Here, we show that gamma-aminobutyric acid (GABA) inhibits, and acetylcholine (ACh) promotes the UPRmt in the Caenorhabditis elegans intestine. GABA controls the UPRmt by regulating extra-synaptic ACh release through metabotropic GABAB receptors GBB-1/2. We find that elevated ACh levels in animals that are GABA-deficient or lack ACh-degradative enzymes induce the UPRmt through ACR-11, an intestinal nicotinic α7 receptor. This neuro-intestinal circuit is critical for non-autonomously regulating organismal survival of oxidative stress. These findings establish chemical neurotransmission as a crucial regulatory layer for nervous system control of systemic protein homeostasis and stress responses.

Abstract Understanding the mechanisms controlling forest carbon accumulation is crucial for predicting and mitigating future climate change. Yet, it remains unclear whether the dominance of ectomycorrhizal (EcM) trees influences the carbon accumulation of entire forests. In this study, we analyzed forest inventory data from over 4000 forest plots across Northeast China. We find that EcM tree dominance consistently exerts a positive effect on tree, soil, and forest carbon stocks. Moreover, we observe that these positive effects are more pronounced during unfavorable climate conditions, at lower tree species richness, and during early successional stages. This underscores the potential of increasing the dominance of native EcM tree species not only to enhance carbon stocks but also to bolster resilience against climate change in high-latitude forests. Here we show that forest managers can make informed decisions to optimize carbon accumulation by considering various factors such as mycorrhizal types, climate, successional stages, and species richness.

The stability of cemented tailing filling body plays a core role in backfill mining as bearing body. In recent years, mineral processing wastewater is reused for filling mining to reduce a series of problems such as environmental pollution in some mines. It is extremely important to find out the impact of mineral processing wastewater which use it to filling on the strength of cemented tailing filling body in the mines. Therefore, cemented tailing filling body specimens (curing ages=7 d, 14 d, 21 d, 28 d) have been prepared with mineral processing wastewater (pH=7, 8, 9) and ordinary tap water (pH=7). The uniaxial compressive strength, microstructure, and the process of failure of acoustic emission (AE) count rate, ib value and energy of cemented tailing filling body were analyzed by using AE, scanning electron microscopy (SEM) and X-ray diffraction (XRD) test. The results show that: ① At the same age of maintenance, the strength of cemented tailing filling body which mixed mineral processing wastewater is lower than that mixed ordinary tap water, the strength decreases with the increase of pH value， and the grey correlation between \begin{document}$ {\rm{CO}}_3^{2 - }$\end{document} and the uniaxial compressive strength index of the filling body is the best, while the correlation of Ca2+ is the worst, and the correlation for anions is better than for cations overall; ② Under the same curing age, the mass concentration and diffraction peak intensity of C—S—H gel in the filling body mixed with mineral processing wastewater are lower than those of the filling body mixed with ordinary tap water, while the mass concentration and diffraction peak intensity of ettringite are higher than those of the filling body mixed with ordinary tap water; With the increase of pH value of mineral processing wastewater, the mass concentration of C—S—H gel in the filling body decreases and the intensity of diffraction peak decreases, while the mass concentration of ettringite increases and the intensity of diffraction peak increases, which leads to the decrease of filling body strength; ③ AE count rate and ib value show the laws of “rise-drop-sudden increase-peak value” and “fluctant rise-sharp drop-gradual rise” during the failure process of the filling body; AE bi1, bi2, bi3, the cumulative counts rate per 10 s and energy value at the peak stress of the filling body which mixed mineral processing wastewater are less than those of mixed ordinary tap water, moreover, the above AE characteristic indexes gradually decrease with the increase of pH value of mineral processing wastewater.

Background: The International Agency for Research on Cancer (IARC) released the latest estimates of the global burden of cancer. We present a comparison of cancer profiles between 2020 and 2022, leveraging data from the Global Cancer Statistics (GLOBOCAN). Methods: Cancer incidence and mortality data were sourced from two different years, 2020 and 2022, in the GLOBOCAN database. We tracked changes in age-standardized incidence and mortality rates, as well as estimated numbers of new cancer cases and deaths of the 15 most common cancer types globally and in China between 2020 and 2022. Additionally, we conducted comparisons to assess alterations in the cancer burden and variations in mortality-to-incidence ratio (MIR) across different regions and countries for both 2020 and 2022. Results: Lung cancer remained the most common cancer and the leading cause of cancer death worldwide. The new cases of thyroid cancer witnessed a sharp increase in 2022. Conversely, the numbers of new cancer cases and deaths from stomach and esophageal cancer decreased significantly in 2022. The geographic distribution of cancer incidence and mortality across six continents in 2022 largely mirrored that of 2020. Higher Human Development Index (HDI) levels in countries corresponded with elevated rates of cancer incidence and mortality, consistent with the previous year. Among 185 countries or territories, China's age-standardized incidence rate (ASIR) ranked 64th and its age-standardized mortality rate (ASMR) ranked 68th, aligning with global averages. Lung cancer continued to impose the greatest burden of incidence and mortality. Stomach, breast, and esophageal cancers showed declines in both case counts and ASIR. Noteworthy reductions in both ASMR and absolute mortality numbers were observed in liver, stomach, and esophageal cancers. The global MIR decreased from 0.516 in 2020 to 0.488 in 2022. MIR trends indicated an upward trajectory with decreasing HDI levels in both 2022 and 2020. While Canada, Germany, India, Italy, Japan, and the United Kingdom demonstrated increasing MIRs, China exhibited the most significant decrease, followed by Russia and the United States. Conclusions: The global landscape of cancer incidence and mortality in 2022 reflects ongoing trends observed in 2020. Cancer burdens vary notably across countries with differing socioeconomic statuses. Decreases in stomach, liver, and esophageal cancer cases and deaths signify progress in cancer control efforts. The decrease in the global MIRs highlights potential improvements in cancer management.

Due to the ineffective separation and removal of actinium during the production process of rare earths, the radioactive of some products in China exceed the exemption values(the total activity of α and β less than 1 Bq/g). Using non-saponified 2-ethylhexyl phosphate mono-2-ethylhexyl ester(P507) as an extractant, diethylenetriamine-N, N, N', N'', N''-pentaacetic acid(DTPA) or N-(2-hydroxyethyl)ethylenediamine-N, N', N'-triacetic acid(HEDTA) as aqueous masking agent, lactic acid as acidity buffer, the extraction and separation of lanthanum-actinium elements was studied respectively in hydrochloric acid and nitric acid media in this work. The results show that the weak acid can effectively buffer the acidity of the aqueous phase and promote the coordination reaction to form organic chelates favorably. The extraction properties of La3+ in the above system is better than in the single saponified P507 system. When pH is 3.0 and the initial La3+ concentration is 0.2 mol/L in hydrochloric acid solution, D(La) can reach 5.0 and SF(La/Ac) value is 3-4. Compared with that，SF(La/Ac) can increase to 5-7 in nitric acid system under the fixed conditions of pH as 2.0-2.5, the DTPA/HEDTA and lactic acid concentrations as 0.02 mol/L and 1.0 mol/L, respectively. In this case, Ac3+ is effectively masked and the maximum D(Ac) is only 0.46. Furthermore, the non-saponification P507 system can also preferentially remove the radioactive Ac3+ from the acidic rare earth wastewater, and SF(Ac/La) value can reach 14 with the increase of lactic acid concentration. The phenomenon can be used to achieve the goal of effective control of radioactive substances in the wastewater of rare earth industry.

Abstract Background Aging significantly elevates the risk of developing neurodegenerative diseases. Neuroinflammation is a universal hallmark of neurodegeneration as well as normal brain aging. Which branches of age-related neuroinflammation, and how they precondition the brain toward pathological progression, remain ill-understood. The presence of elevated type I interferon (IFN-I) has been documented in the aged brain, but its role in promoting degenerative processes, such as the loss of neurons in vulnerable regions, has not been studied in depth. Methods To comprehend the scope of IFN-I activity in the aging brain, we surveyed IFN-I-responsive reporter mice at multiple ages. We also examined 5- and 24-month-old mice harboring selective ablation of Ifnar1 in microglia to observe the effects of manipulating this pathway during the aging process using bulk RNA sequencing and histological parameters. Results We detected age-dependent IFN-I signal escalation in multiple brain cell types from various regions, especially in microglia. Selective ablation of Ifnar1 from microglia in aged mice significantly reduced overall brain IFN-I signature, dampened microglial reactivity, lessened neuronal loss, restored expression of key neuronal genes and pathways, and diminished the accumulation of lipofuscin, a core hallmark of cellular aging in the brain. Conclusions Overall, our study demonstrates pervasive IFN-I activity during normal mouse brain aging and reveals a pathogenic, pro-degenerative role played by microglial IFN-I signaling in perpetuating neuroinflammation, neuronal dysfunction, and molecular aggregation. These findings extend the understanding of a principal axis of age-related inflammation in the brain, one likely shared with multiple neurological disorders, and provide a rationale to modulate aberrant immune activation to mitigate neurodegenerative process at all stages.

Abstract. Background:. Given the recent updates in cancer burden estimates by GLOBOCAN 2022, this study was undertaken to provide pertinent perspectives within the context of the Human Development Index (HDI) and major world economies. Methods:. Datasets sourced from GLOBOCAN encompassed cancer cases and deaths across all cancer types in 2022, alongside projections up to 2050. Cancer incidences and deaths of the top 10 cancers within China and four distinct HDI-classified regions were compared using descriptive analyses. Age-standardized incidence rates (ASIRs) and mortality rates (ASMRs) worldwide for the most prevalent cancers in 2022 across ten largest economies and four-tier HDIs were examined. The top five cancer types concerning both incidence and mortality in China were delineated by sex and age group. Results:. In males, prostate cancer predominated in countries with low, high (except China), and very high HDI. Prostate and liver cancers were prominent causes of death in countries with low HDI. In females, breast and cervical cancers predominated in countries with low-to-medium HDI. Lung and colorectal cancer incidence and deaths increased with high HDI for both sexes. ASIRs and ASMRs for breast, prostate, lung, and colorectal cancers in the top 10 economies were higher than the global average. However, liver, stomach, and cervical cancers in most Western countries exhibited lower rates. In China, hematologic malignancies (43%) were prevalent among children aged 0–14 years, whereas thyroid cancer led among adolescents and young adults aged 15–39 years. Regarding incidence and mortality, lung cancer predominated for individuals over 40 years, except for females aged 40–59 years, in whom breast cancer predominated. Projected trends indicated substantial increases in new cancer cases (76.6%) and deaths (89.7%) over the next three decades. Conclusions:. Infection- and poverty-related cancer burdens are offset by increased prostate, breast, colorectal, and lung cancer incidence associated with rapid societal and economic transitions. Cancer incidence and mortality patterns in China feature characteristics of developed and developing countries, necessitating tailored, evidence-based, and comprehensive strategies for effective cancer prevention and control.

Abstract Objective This cross‐sectional study aimed to determine the epidemiology of olfactory and gustatory dysfunctions related to COVID‐19 in China. Methods This study was conducted by 45 tertiary Grade‐A hospitals in China. Online and offline questionnaire data were obtained from patients infected with COVID‐19 between December 28, 2022, and February 21, 2023. The collected information included basic demographics, medical history, smoking and drinking history, vaccination history, changes in olfactory and gustatory functions before and after infection, and other postinfection symptoms, as well as the duration and improvement status of olfactory and gustatory disorders. Results Complete questionnaires were obtained from 35,566 subjects. The overall incidence of olfactory and taste dysfunction was 67.75%. Being female or being a cigarette smoker increased the likelihood of developing olfactory and taste dysfunction. Having received four doses of the vaccine or having good oral health or being a alcohol drinker decreased the risk of such dysfunction. Before infection, the average olfactory and taste VAS scores were 8.41 and 8.51, respectively; after infection, they decreased to 3.69 and 4.29 and recovered to 5.83 and 6.55 by the time of the survey. The median duration of dysosmia and dysgeusia was 15 and 12 days, respectively, with 0.5% of patients having symptoms lasting for more than 28 days. The overall self‐reported improvement rate was 59.16%. Recovery was higher in males, never smokers, those who received two or three vaccine doses, and those that had never experienced dental health issues, or chronic accompanying symptoms. Conclusions The incidence of dysosmia and dysgeusia following infection with the SARS‐CoV‐2 virus is high in China. Incidence and prognosis are influenced by several factors, including sex, SARS‐CoV‐2 vaccination, history of head‐facial trauma, nasal and oral health status, smoking and drinking history, and the persistence of accompanying symptoms.

Fault detection and diagnosis (FDD) of heating, ventilation, and air conditioning (HVAC) systems can help to improve the energy saving in building energy systems. However, most data-driven trained FDD models have limited generalizability and can only be applied to specific systems. The diversity of HVAC systems and the high cost of data acquisition present challenges for the practical application of FDD. Transfer learning technology can be employed to mitigate this problem by training a model on systems with sufficient data and then transfer it to other systems with limited data. In this study, a novel transfer learning approach for HVAC FDD is proposed. First, the transformer model is modified to incorporate one encoder and two decoders connected, enabling two outputs. This modified transformer model accommodates absent features in the target domain and serves as a robust foundation for transfer learning. It has effective performance in complex systems and achieves an accuracy of 91.38% for a system with 16 faults and multiple fault severity levels. Second, the adapter-based parameter-efficient transfer learning method, facilitating the transfer of trained models simply by inserting small adapter modules, is investigated as the transfer learning strategy. Results demonstrate that this adapter-based transfer learning approach achieves satisfactory performance similar to full fine-tuning with fewer trainable parameters. It works well with limited data amount in target domain. Furthermore, the findings highlight the significance of adapters positioned near the bottom and top layers, emphasizing their critical role in facilitating successful transfer learning.

Silica aerogel composites have promising applications in high-temperature heat storage insulation. However, the impact of high temperatures and moisture on their insulation performance remains unclear. To reveal the influences of high temperature and moisture absorption property on the heat transfer of silica aerogel composites, an experimental and numerical study was conducted to explore the micromorphology, thermophysical parameters, moisture absorption characteristics, and temperature response. The service temperature limit of the silica aerogel composite has been clarified. Measurements have conducted for the thermal conductivity, specific heat capacity, thermal diffusivity, specific surface area, density, porosity, and pore size distribution of the heated silica aerogel composite (at temperatures of 600, 800, 1,000, 1,100 and 1,200 °C). The moisture absorption characteristic curve at 20 °C has been obtained. Thermal testing of silica aerogel composites under varying heating temperatures and moisture content has been completed. Additionally, a numerical method has been developed to calculate the temperature curve of moist silica aerogel composites. The insulation performance of silica aerogel composite with varying moisture contents depends on the game between thermal conductivity and latent heat. Compared with the negative effect of the moisture content on insulation performance, the positive influence of moisture evaporation and heat absorption is dominant in situations involving temperatures higher than the phase transition temperature.

IntroductionEmerging evidences suggests that the disrupted branched-chain amino acids (BCAAs) homeostasis and elevated BCAAs promote obesity-related insulin resistance (IR). Exercise improves insulin sensitivity. However, whether BCAAs plays a role in the exercise-attenuated IR remains to be fully investigated.MethodsIn this study, male C57BL/6J mice were induced to become diet-induced obese (DIO) and served as subjects. The initial investigation focused on the impact of exercise on IR and BCAAs. The DIO mice were randomly assigned to either a sedentary group (CON, n = 16) or an exercise group (EX, n = 16). The EX group underwent a 12-week aerobic exercise regimen on a treadmill. After 12-week, plasma BCAAs and branched-chain keto acids (BCKAs) were measured by liquid chromatography-mass spectrometry, glucose tolerance test (GTT) and insulin tolerance test (ITT) were performed, and the expression and phosphorylation of BCAAs catabolic proteins, as well as AKT T308 in gastrocnemius muscle and liver tissues, were evaluated using western blotting. Subsequently, the study explored the role of BCAAs in enhancing IR through exercise. Mice were randomly allocated into 4 groups: sedentary group (CON, n = 8), sedentary with BCAAs supplementation group (CON+BCAA, n = 8), exercise group (EX, n = 16), and exercise with BCAAs supplementation group (EX+BCAA, n = 16). The exercise protocol was as above. Mice in the BCAAs supplemented groups received drinking water containing 2% BCAAs. After 12-week, plasma BCAAs and BCKAs were measured, GTT and ITT tests were performed, and the phosphorylation of AKT T308, as well as p70S6K T389 in gastrocnemius muscle and liver, were compared between the EX group and the EX+BCAA group. Additionally, the phosphorylation of AMPKα T172 in both tissues was measured across all four groups.Results12-week aerobic exercise improved insulin sensitivity in DIO mice while inducing BCAAs catabolic protein expression in skeletal muscle and liver, and reducing the plasma BCAAs level. Importantly, BCAAs supplementation elevated the plasma level of BCAAs and counteracted the exercise-attenuated IR. In skeletal muscle and liver tissues, BCAAs supplementation impaired the exercise-improved insulin signaling without enhancing mammalian target of rapamycin activity. AMPK activity was enhanced by aerobic exercise, which was abolished by BCAAs supplementation.ConclusionAerobic exercise attenuated insulin resistance via restoring BCAAs homeostasis and AMPK activity. The impacts of BCAAs intake on the metabolic effects of exercise sheds light on the combined exercise and nutrition intervention strategy for diabetes management.

Objectives To evaluate the minimal clinically important difference (MCID) value for acupuncture treatment in chronic spontaneous urticaria (CSU), providing guidance for its application in CSU management.Design Secondary analysis of data from a multicentre randomised controlled trial.Setting Three tertiary hospitals across three cities in China.Participants 103 CSU patients (78.7% female) with an average age of 39.97 years.Interventions Participants received acupuncture treatment for 4 weeks in the original study.Outcome measures MCID and minimal detectable change (MDC) for the Urticaria Activity Score over 7 days (UAS7) in acupuncture treatment of CSU. Convergent validity assessed by intraclass correlation coefficient (ICC). Responsiveness evaluated through Spearman correlation between UAS7 improvements and anchor tools (physician’s and patient’s assessments). MDC calculated using SE of measurement of changes in UAS7 scores. MCID estimated using distribution-based and anchor-based methods.Results The ICC for UAS7 was 0.86. Improvements in UAS7 scores were significantly correlated with patient (r=0.44, p

The occurrence rate of frailty is high among patients with chronic diseases. However, the assessment of frailty among these patients is still far from being a routine part of clinical practice. The aim of this study is to develop a validated predictive model for assessing frailty risk in patients with chronic illnesses. This study recruited 543 patients with chronic diseases, and 237 were included in the development and validation of the predictive model. A total of 57 frailty related indicators were analyzed, encompassing sociodemographic variables, health status, physical measurements, nutritional assessment, physical activity levels, and blood biomarkers. There were 100 cases (42.2%) presenting frailty symptoms. Multivariate logistic regression analysis revealed that gender, age, chronic diseases, Mini Nutritional Assessment score, and Clinical Frailty Scale score were predictive factors for frailty in chronic disease patients. Utilizing these factors, a nomogram model demonstrated good consistency and accuracy. The AUC values for the predictive model and validation set were 0.946 and 0.945, respectively. Calibration curves, ROC, and DCA indicated the nomogram had favorable predictive performance. Altogether, the comprehensive nomogram developed here is a promising and convenient tool for assessing frailty risk in patients with chronic diseases, aiding clinical practitioners in screening high-risk populations.

Sprouted wheat wholemeal was reported to enhance the nutritional and sensory properties of cereal products, but few human studies exist. The effect of blending 50 % sprouted wheat wholemeal in a bread recipe on the postprandial glycemic and satiety responses, and sensory-related sensations was investigated in this randomized crossover human study with 12 healthy participants. Capillary blood samples were collected and glycemic response was determined at 0, 15, 30, 45, 60, 90, 120 min. Satiety visual analogue scales were given every 30 min. While substituting bread wheat flour with sprouted wheat wholemeal significantly increased the α-amylase activity in the dough (p 0.05). Likewise, participant overall acceptability was not adversely affected. Sprouted wheat wholemeal can be used as a functional ingredient in breadmaking, although it did not, in this study, significantly affect digestibility parameters.

Air blast fireball of the composite explosive is an important way to destroy the target and effectively determines the damage effect. Herein, based on the effect of aluminum powder content on the explosion reaction kinetics of HMX-based aluminized explosives, the cylindrical charges with positive gradient structure (PGS) and negative gradient structure (NGS) were designed and prepared to control the structure and size of air blast fireball. The PGS cylinders exhibited lateral shuttle-shaped flame/fireball and the width of the fireball was 3.901 m, which was increased by about 14% compared with homogeneous cylinders. The NGS cylinders led to the vertical shuttle-shaped flame/fireball that the height of the air blast fireball reached 4.049 m, and had longer durations of the fireball. The numerical fitting results show that the lateral shuttle-shaped flame/fireball and vertical shuttle-shaped flame/fireball gradually changed into spherical-like flame/fireball with an increase from 0 to 30 wt% of outer and inner layer HMX content, respectively. The vertical shuttle flame/fireball gradually changed into a spherical-like flame/fireball with the increase of HMX content. This is a feasible way to regulate the shape and size of the air blast fireball through gradient adjusting the distribution of HMX and Al, which could provide an effective strategy to improve the damage effect.

Abstract Radiomics uses automated algorithms to extract high‐order features from images, which can contribute to clinical decisions such as therapeutic efficacy evaluation. We assessed the value of a dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI)‐based radiomics model for predicting pathological complete response (pCR) after a second cycle of neoadjuvant chemotherapy (NAC) in patients with mass breast cancer. We retrospectively analyzed data from 149 patients with mass breast cancer who underwent NAC between January 2017 and December 2022. Using DCE‐MRI, before NAC and after a second cycle of NAC, the least absolute shrinkage and selection operator and logistic regression (LR) algorithms were applied for feature selection and radiomics modeling. We found significant differences in two clinical imaging features (molecular subtypes, background parenchymal enhancement changes) and two radiomics features. Clinical and radiomics features were employed to build clinical, radiomics, and combined models to predict pCR. The LR model that combined clinical and radiomics features had an area under the curve of 0.811, higher than that for the imaging or radiomics model. Our findings suggest that a combined model based on imaging and radiomics features can improve early prediction of NAC efficacy for patients with mass breast cancer.

ObjectiveTo explore the diagnostic value of glycated CD59 (gCD59) in gestational diabetes mellitus (GDM).MethodsA total of 707 pregnant women who underwent the first visit in the obstetric outpatient clinic of the Affliated Suqian Hospital of Xuzhou Medical University from January 2022 to July 2023 were included, and were grouped according to the International Association of the Diabetes and Pregnancy Study Groups(IADPSG) diagnostic criteria, and finally 113 cases in the GDM group and 559 cases in the normal glucose tolerance (NGT) group were included, and the concentration of gCD59 was determined by enzyme-linked immunosorbent assay (ELISA). The baseline data characteristics of the two groups were compared, the risk factors for GDM were explored by multivariate binary logistic analysis, and the diagnostic value of gCD59 in predicting GDM was explored by receiver operating characteristic (ROC) curve analysis.ResultsThe level of gCD59 in the GDM group was significantly higher than that in the NGT group (1.49 SPU vs 0.87 SPU). Multivariate regression analysis showed that gCD59, diastolic blood pressure (DBP) and thyroid stimulating hormone (TSH) were independent risk factors for GDM.The area under the curve (AUC) of gCD59 for the diagnosis of GDM was 0.681 (95% CI: 0.583-0.717), with a sensitivity of 71.7% and a specificity of 58.3%. In combination with fasting glucose, gCD59 effectively diagnosed GDM with higher AUC of 0.871 (95% CI: 0.708-1.000).ConclusiongCD59 is an independent risk factor for GDM and a good biomarker for the diagnosis of GDM.

This paper attempts to reveal the freezing temperature and its influencing factors of heavy metal-contaminated loess by adopting two cooling methods: fast and slow grading. As a result, Lanzhou loess was used as an experimental material to make polluted soil with varying heavy metal concentrations and initial water content. The pollutant elements included Zn, Ni, Cu, Cr, Cd, and Pb. The findings demonstrate that: 1) The slow cooling rate causes supercooling, jumping, and a progressive decrease in the temperature of the polluted soil. Different cooling methods have no obvious effect on freezing temperature. Furthermore, the freezing temperature of contaminated soil varies depending on its water content. The impact of increasing water content on freezing temperature is not evident; 2) The freezing temperature of loess decreases with the increase of heavy metal ion content. The freezing temperature of loess polluted by Zn, Ni and Cd ions decreased linearly with the increase of ion content. The influence of cations on the freezing temperature of loess is as follows: Zn2+> Ni2+> Cd2+> Cr3+> Pb2+> Cu2+. The influence order of anions is Cl− > SO42−; 3) The freezing temperature of loess containing heavy metal ions is about equal to the freezing temperature of the corresponding heavy metal solution plus the freezing temperature of loess itself. The freezing temperature of heavy metal-polluted loess follows the temperature superposition principle.

This research introduced a novel precast shear wall designed to address prevalent challenges encountered in precast shear wall structures, such as issues with difficult installation, high expenses, and the uncertain quality of grouting by eliminating the connection of the vertical distributing bars. Early experimental verification of this novel structural system showcased favourable results concerning its seismic performance. Building upon this groundwork, the paper presented an elaborate horizontal joint deformation model, demonstrating its precise analysis of damage modes and interface slip in the novel structural system with high reliability. Furthermore, in an effort to enhance the damage mode of this novel precast shear wall under conditions of low axial compression ratio, the study introduced and evaluated two improvement measures through finite element parametric analysis. The findings indicated a noticeable enhancement in capacity and a simultaneous reduction in interface slip with the proposed improvement measures. Additionally, the section steel measures were more effective than the additional bars measures.

Abstract Intercropping with Pleurotus ostreatus has been demonstrated to increase the tea yield and alleviate soil acidification in tea gardens. However, the underlying mechanisms remain elusive. Here, high-throughput sequencing and Biolog Eco analysis were performed to identify changes in the community structure and abundance of soil microorganisms in the P. ostreatus intercropped tea garden at different seasons (April and September). The results showed that the soil microbial diversity of rhizosphere decreased in April, while rhizosphere and non-rhizosphere soil microbial diversity increased in September in the P. ostreatus intercropped tea garden. The diversity of tea tree root microorganisms increased in both periods. In addition, the number of fungi associated with organic matter decomposition and nutrient cycling, such as Penicillium, Trichoderma, and Trechispora, was significantly higher in the intercropped group than in the control group. Intercropping with P. ostreatus increased the levels of total nitrogen (TN), total phosphorus (TP), and available phosphorus (AP) in the soil. It also improved the content of secondary metabolites, such as tea catechins, and polysaccharides in tea buds. Microbial network analysis showed that Unclassified_o__Helotiales, and Devosia were positively correlated with soil TN and pH, while Lactobacillus, Acidothermus, and Monascus were positively correlated with flavone, AE, and catechins in tea trees. In conclusion, intercropping with P. ostreatus can improve the physical and chemical properties of soil and the composition and structure of microbial communities in tea gardens, which has significant potential for application in monoculture tea gardens with acidic soils.

Abstract Background Bacterial drug resistance represents a significant global concern, with vancomycin-resistant Enterococcus faecalis posing a particularly grave threat to contemporary healthcare systems. This study aims to reveal the reasons for the prevalence of VRE in China. Methods This study collected data from the China Antimicrobial Resistance Detection System, China Statistical Yearbook, and China Meteorological Network. The collected data are meticulously organized and subjected to both single-factor and multi-factor analyses. An accurate multiple linear regression model was developed by utilizing this comprehensive dataset. Results Single-factor analysis revealed significant regional variations in the resistance rate of vancomycin-resistant Enterococcus faecalis (P = 0.003). Specifically, there were noteworthy disparities observed between regions experiencing temperate and monsoon climates (P = 0.029; P = 0.005). Furthermore, multi-factor regression analysis demonstrated a negative correlation between the drug resistance rate and both rainfall and rGDP, while a positive correlation was observed with nPI. Conclusion We successfully established a prediction model for the VRE and found that the resistance rate was low in areas with high rainfall and high per capita economic income, but high in areas with many specialized public health institutions. This is critical for public health strategies and helps policymakers and healthcare practitioners tailor antibiotic resistance approaches to local geography, meteorology, economic conditions.

Abstract Brain-like energy-efficient computing has remained elusive for neuromorphic (NM) circuits and hardware platform implementations despite decades of research. In this work we reveal the opportunity to significantly improve the energy efficiency of digital neuromorphic hardware by introducing NM circuits employing two-dimensional (2D) transition metal dichalcogenide (TMD) layered channel material-based tunnel-field-effect transistors (TFETs). Our novel leaky-integrate-fire (LIF) based digital NM circuit along with its Hebbian learning circuitry operates at a wide range of supply voltages, frequencies, and activity factors, enabling two orders of magnitude higher energy-efficient computing that is difficult to achieve with conventional material and/or device platforms, specifically the silicon-based 7 nm low-standby-power FinFET technology. Our innovative 2D-TFET based NM circuit paves the way toward brain-like energy-efficient computing that can unleash major transformations in future AI and data analytics platforms.

Abstract Background In agricultural production, fungal diseases significantly impact the yield and quality of cotton (Gossypium spp.) with Verticillium wilt posing a particularly severe threat. Results This study is focused on investigating the effectiveness of endophytic microbial communities present in the seeds of disease-resistant cotton genotypes in the control of cotton Verticillium wilt. The technique of 16S ribosomal RNA (16S rRNA) amplicon sequencing identified a significant enrichment of the Bacillus genus in the resistant genotype Xinluzao 78, which differed from the endophytic bacterial community structure in the susceptible genotype Xinluzao 63. Specific enriched strains were isolated and screened from the seeds of Xinluzao 78 to further explore the biological functions of seed endophytes. A synthetic microbial community (SynCom) was constructed using the broken-rod model, and seeds of the susceptible genotype Xinluzao 63 in this community that had been soaked with the SynCom were found to significantly control the occurrence of Verticillium wilt and regulate the growth of cotton plants. Antibiotic screening techniques were used to preliminarily identify the colonization of strains in the community. These techniques revealed that the strains can colonize plant tissues and occupy ecological niches in cotton tissues through a priority effect, which prevents infection by pathogens. Conclusion This study highlights the key role of seed endophytes in driving plant disease defense and provides a theoretical basis for the future application of SynComs in agriculture.

Due to various causes, chronic kidney disease（CKD） is characterized by chronic irreversible changes in the structure and function of kidney. The most common pathological manifestation is renal fibrosis. Many studies have demonstrated that injured renal tubular epithelial cells could release a large variety of cytokines to cause extracellular matrix deposition and promote the development of renal fibrosis during CKD. This review summarized the latest studies on the roles of renal tubular epithelial cell injury-related cytokines in CKD. It provided new concepts for clarifying the mechanism and exploring new treatments of CKD.

The purpose of the study is to investigate the sulfate resistance of portland-dolomite cement (PDC) with varying dolomite contents, when exposed to sodium sulfate solution at 5 ℃ and 20 ℃. Visual appearance, expansion, mass change, and compressive strength of PDC mortars were tested, and XRD, FTIR, and SEM analyses were conducted to examine deterioration products and microstructure. Results indicate that at 20 ℃, the incorporation of 10 % dolomite in PDC had a negligible impact on sulfate resistance, whereas higher dolomite replacements of 20 % and 30 % notably diminished it. In contrast, exposure at 5 °C led to more severe deterioration in all PDC samples, regardless of dolomite content, and the higher dolomite content, the poorer resistance to sulfate attack. The increased formation of ettringite and gypsum resulted in reduced sulfate resistance of PDC at 20 ℃. However, at 5 ℃, the presence of dolomite significantly promoted the formation of thaumasite at later stages, which caused initial ettringite and subsequent late-stage thaumasite sulfate attack, ultimately leading to the failure of PDC. The findings suggest that PDC should be carefully considered when used in sulfate-rich environments, particularly at low temperatures.