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Background: This study aims to develop a stacking model for accurately predicting axillary lymph node (ALN) response to neoadjuvant chemotherapy (NAC) using longitudinal MRI in breast cancer. Methods: We included patients with node-positive breast cancer who received NAC following surgery from January 2012 to June 2022. We collected MRIs before and after NAC, and extracted radiomics features from the tumour, peritumour, and ALN regions. The Mann–Whitney U test, least absolute shrinkage and selection operator, and Boruta algorithm were used to select features. We utilised machine learning techniques to develop three single-modality models and a stacking model for predicting ALN response to NAC. Results: This study consisted of a training cohort (n = 277), three external validation cohorts (n = 313, 164, and 318), and a prospective cohort (n = 81). Among the 1153 patients, 60.62% achieved ypN0. The stacking model achieved excellent AUCs of 0.926, 0.874, and 0.862 in the training, external validation, and prospective cohort, respectively. It also showed lower false-negative rates (FNRs) compared to radiologists, with rates of 14.40%, 20.85%, and 18.18% (radiologists: 40.80%, 50.49%, and 63.64%) in three cohorts. Additionally, there was a significant difference in disease-free survival between high-risk and low-risk groups (p < 0.05). Conclusions: The stacking model can accurately predict ALN status after NAC in breast cancer, showing a lower false-negative rate than radiologists. Trial registration number: The clinical trial numbers were NCT03154749 and NCT04858529. [ABSTRACT FROM AUTHOR]

Purpose: Inflammatory breast cancer (IBC), a rare and highly aggressive form of breast cancer, accounts for 10% of breast cancer-related deaths. Previous omics studies of IBC have focused solely on one of genomics or transcriptomics and did not discover common differences that could distinguish IBC from non-IBC. Methods: Seventeen IBC patients and five non-IBC patients as well as additional thirty-three Asian breast cancer samples from TCGA-BRCA were included for the study. We performed whole-exon sequencing (WES) to investigate different somatic genomic alterations, copy number variants, and large structural variants between IBC and non-IBC. Bulk RNA sequencing (RNA-seq) was performed to examine the differentially expressed genes, pathway enrichment, and gene fusions. WES and RNA-seq data were further investigated in combination to discover genes that were dysregulated in both genomics and transcriptomics. Results: Copy number variation analysis identified 10 cytobands that showed higher frequency in IBC. Structural variation analysis showed more frequent deletions in IBC. Pathway enrichment and immune infiltration analysis indicated increased immune activation in IBC samples. Gene fusions including CTSC–RAB38 were found to be more common in IBC. We demonstrated more commonly dysregulated RAS pathway in IBC according to both WES and RNA-seq. Inhibitors targeting RAS signaling and its downstream pathways were predicted to possess promising effects in IBC treatment. Conclusion: We discovered differences unique in Asian women that could potentially explain IBC etiology and presented RAS signaling pathway as a potential therapeutic target in IBC treatment. [ABSTRACT FROM AUTHOR]

Aim: This pre-post intervention study aimed to assess the relationship between baseline dietary quality and the efficacy of a dietitian-guided weight reduction program, which has not been thoroughly documented to date. Methods: Ninety-two consecutive obese or overweight patients visiting a tertiary center clinic for weight reduction were enrolled in this study. Participants received a dietitian-guided weight reduction education program aimed at reducing daily caloric intake by 500 kcal and improving adherence to the Mediterranean diet for 3 months. Baseline dietary quality was assessed using the 14-item Taiwanese Mediterranean Diet Adherence Screener (T-MEDAS), where a higher T-MEDAS score reflects greater adherence to the Mediterranean diet. Additional covariates, including dietary behaviors, lifestyle factors, and comorbidities were also recorded. The primary outcome was the percentage of weight reduction at 3 months, analyzed using restricted cubic spline models and generalized estimating equations (GEE) to account for the correlation between weight change and the baseline T-MEDAS scores. Results: Thirty-nine participants were excluded due to major illnesses, use of anti-obesity medications, or loss to follow-up. Among the remaining 53 participants (mean age 41.2 ± 12.8 years, 56.6% female), the average weight reduction was 3.9 ± 3.3% from a baseline weight of 98.5 ± 12.8 kg. Participants who did not achieve a weight reduction of more than 5% had higher baseline T-MEDAS scores compared to those who did (5.4 ± 1.7 vs. 4.1 ± 1.8, p = 0.026). A restricted cubic spline model, adjusted for covariates including age, gender, diabetes mellitus (DM), dyslipidemia, and smoking, revealed a significant inverse relationship between higher baseline T-MEDAS scores and weight loss. After controlling for various confounders, GEE analysis demonstrated that higher baseline T-MEDAS scores were significantly associated with less weight loss (beta: -4.1, 95% CI: -5.6 to -2.6, p < 0.001). Conclusions: Higher baseline dietary quality was associated with reduced effectiveness of a dietitian-guided weight reduction program. This suggests that additional strategies may be required to improve the success of weight loss interventions in individuals with higher baseline dietary quality. [ABSTRACT FROM AUTHOR]

Background: Anxiety and depressive disorders, characterized by high incidence and functional impairments, are emotional disorders with shared etiological and maintenance mechanisms. Dialectical behavior therapy (DBT) is a promising approach for the transdiagnostic treatment of emotional disorders. Developing a brief DBT intervention can facilitate the adoption of evidence-based therapy. Methods: This protocol is for a 3-year single-blinded, two-arm randomized controlled trial. Individuals with depressive or anxiety disorder will be randomly allocated to a modified DBT–informed transdiagnostic psychotherapy group or a treatment-as-usual group. The intervention group will receive DBT individual therapy for 15 weeks. Power analyses revealed that the cohort should include a minimum of 250 participants. Preintervention, postintervention, and follow-up (after 3 months) assessments will be conducted. Primary outcomes will be severities of depression and anxiety rated by blind assessors. Intent-to-treat and per-protocol analyses will be conducted using the hierarchical linear model. Effect sizes will be estimated using Cohen's d. Result: To the best of our knowledge, the proposed study will be the first randomized controlled trial to evaluate the efficacy of a modified DBT intervention in managing transdiagnostic emotional disorders in Chinese individuals. Conclusion: This intervention is expected to improve clinical outcomes, daily functioning, and quality of life. The trial will enrich the empirical evidence for transdiagnostic interventions, facilitating the implementation of evidence-based therapy and reducing the high prevalence and challenges (e.g., disability) of emotional disorders in the Chinese population. Trial registration number: NCT05989451 [ABSTRACT FROM AUTHOR]

A general and practical K2CO3-promoted [3+2] annulation between trifluoroacetaldehyde N-triftosylhydrazone (TFHZ-Tfs) and 4-nitroisoxazoles has been developed to access structurally diverse trifluoromethylpyrazolo[3,4-d]isoxazoles. Mechanistically, CF3CHN2 is formed in situ by TFHZ-Tfs decomposition and involves a formal [3+2] dearomative cycloaddition with 4-nitroisoxazoles, followed by aromatization via the elimination of the nitro group. Furthermore, this protocol is metal-free, scalable, mild, and operationally safe, with a broad substrate scope and high functional group compatibility. [ABSTRACT FROM AUTHOR]

Background: Herniated intervertebral disc (HIVD) with radiculopathy is a common degenerative spine disorder. Transforaminal epidural steroid injection (TFESI) is one of the pain relief treatments for lumbar radiculopathy recommended by evidence‐based guidelines. Adequate contrast distribution is correlated with better pain control, but the best approach has not been confirmed yet. Aim: To confirm the distribution of contrast medium injected with a new approach of TFESI, that is, far lateral lateral recess approach (FLLR‐TFESI). Methods: Patients receiving TFESI due to HIVD with radiculopathy between 2010 January and 2020 August were retrospectively enrolled. While the FLLR‐TFESI was taken as the experimental group, the conventional approach was viewed as the control group. The baseline characteristics, the pattern of contrast enhancement under fluoroscopic guidance, and the complications of these patients were collected and analyzed. Results: A total of 380 patients were analyzed (143 in control group and 237 in experimental group). The two groups were balanced in most baseline characteristics, except disc extrusion (p = 0.01) and scoliosis (p = 0.04). The FLLR‐TFESI have a better contrast distribution (p < 0.01), even after adjustment (p < 0.001). No intrathecal injection was noted, but higher rate of intra‐disc injection was noted in FLLR‐TFESI group (10% vs. 3%, p = 0.008). Conclusion: The FLLR‐TFESI has a superior contrast enhancement and distribution in comparison to conventional approach. Prospective study to confirm the study result as well as the clinical benefits is suggested in the future. [ABSTRACT FROM AUTHOR]

Simple Summary: Lynch syndrome (LS) is an autosomal dominant disorder linked to increased risks of colorectal and endometrial cancers, caused by pathogenic variants in MMR genes (MLH1, MSH2, MSH6). In a cohort of 42,828 participants from the Taiwan Precision Medicine Initiative (TPMI), 89 individuals carried MMR gene variants: 25% MLH1, 53% MSH2, and 22% MSH6, with a prevalence of 1 in 481. Cancer incidence rates were 40.9% for MLH1, 29.8% for MSH2, and 40% for MSH6 carriers. Colonoscopy screening revealed no significant differences in polyp prevalence compared to controls. The study underscores the need for improved LS diagnosis and surveillance in the Taiwanese population. Lynch syndrome (LS) is an autosomal dominant disorder characterized by increased risks of colorectal and endometrial cancers. LS is defined by pathogenic variants in mismatch repair (MMR) genes, including MLH1, MSH2, and MSH6. Data on the prevalence and associated cancer risks of LS in the Han Chinese population remain limited. In this study, using a broad biobank approach through the Taiwan Precision Medicine Initiative (TPMI), we identified LS-associated MMR gene variants within a cohort of 42,828 participants from a Taiwanese medical center. A total of 89 individuals were found to carry pathogenic MMR variants: MLH1 (n = 22, 25%), MSH2 (n = 47, 53%), and MSH6 (n = 20, 22%). The overall prevalence of MMR variants was calculated, and cancer incidence rates among carriers were determined. The prevalence of MMR variants in the study population was 1 in 481. The distribution of MLH1, MSH2, and MSH6 variants were 24.7%, 52.8%, and 22.5%, respectively. Cumulative cancer incidence rates of carriers were 40.9% for MLH1 carriers, 29.8% for MSH2, and 40% for MSH6. Among the 19 individuals who underwent colonoscopy screening, the prevalence of polyps was similar to that of the control group (adenoma detection rate: 32% vs 26%, p = 0.585). A meticulous analysis of the detected polyps in seven participants, considering factors such as location, size, morphology, and pathological features, showed no significant differences from controls. A significant cancer risk is associated with LS-related MMR variants in the Taiwanese population. The apparent under diagnosis of LS highlights the urgent need for enhanced surveillance and genetic counseling in this demographic. Our findings suggest that adjustments in the current screening protocols may be warranted to better identify and manage at-risk individuals. [ABSTRACT FROM AUTHOR]

Analytical and semi‐analytical models for stream depletion with transient stream stage drawdown induced by groundwater pumping are developed to address a deficiency in existing models, namely, the use of a fixed stream stage condition at the stream–aquifer interface. Field data are presented to demonstrate that stream stage drawdown does indeed occur in response to groundwater pumping near aquifer‐connected streams. A model that predicts stream depletion with transient stream drawdown is developed based on stream channel mass conservation and finite stream channel storage. The resulting models are shown to reduce to existing fixed‐stage models in the limit as stream channel storage becomes infinitely large, and to the confined aquifer flow with a no‐flow boundary at the streambed in the limit as stream storage becomes vanishingly small. The model is applied to field measurements of aquifer and stream drawdown, giving estimates of aquifer hydraulic parameters, streambed conductance, and a measure of stream channel storage. The results of the modeling and data analysis presented herein have implications for sustainable groundwater management. [ABSTRACT FROM AUTHOR]

Background: Approximately 7% of the males exhibit reduced fertility; however, the regulatory genes and pathways involved remain largely unknown. TBC1 domain family member 21 (TBC1D21) contains a conserved RabGAP catalytic domain that induces GDP/GTP exchange to inactivate Rabs by interacting with microtubules. We previously reported that Tbc1d21‐null mice exhibit severe sperm tail defects with a disrupted axoneme, and that TBC1D21 interacts with RAB10. However, the pathological mechanisms underlying the Tbc1d21 loss‐induced sperm tail defects remain unknown. Results: Murine sperm from wild‐type and Tbc1d21‐null mice were comparatively analyzed using proteomic assays. Over 1600 proteins were identified, of which 15 were significantly up‐regulated in Tbc1d21‐null sperm. Notably, several tektin (TEKT) family proteins, belonging to a type of intermediate filament critical for stabilizing the microtubular structure of cilia and flagella, were significantly up‐regulated in Tbc1d21−/− sperm. We also found that TBC1D21 interacts with TEKT1. In addition, TEKT1 co‐localized with RAB10 during sperm tail formation. Finally, we found Tbc1d21‐null sperm exhibited abnormal accumulation of TEKT1 in the midpiece region, accompanied by disrupted axonemal structures. Conclusions: These results reveal that TBC1D21 modulates TEKTs protein localization in the axonemal transport system during sperm tail formation. Key Findings: In this study, we found that the TEKT family proteins, roles of stabilizing the microtubules, are involved in Tbc1d21‐null caused sperm‐tail defects through proteomic assay. [ABSTRACT FROM AUTHOR]

Poly (ethylene glycol dimethacrylate-1,2-ethanedithiol) (P(EDGMA-EDT)) and poly (ethylene glycol dimethacrylate-3,6-dioxy-1,8-octanedithiol) (P(EDGMA-DODT)) are excellent solid polymer electrolytes synthesized experimentally. The coordination structure, redox properties, and modification design of P(EDGMA-EDT)-LiTFSI and P(EDGMA-DODT)-LiTFSI are investigated by density functional theory. The theoretical simulation of infrared spectra and the coordination structure information show that the ester carbonyl group in P(EDGMA-EDT) and the ester carbonyl group and ether oxygen in P(EDGMA-DODT) interact with Li+ ions. Li+ ion coordination numbers in these two electrolytes are 4 and 5; thioether and ester groups in polymers are their redox active sites, respectively. Modified sulfone oxide P(EDGMA-EDT)2-SO2 and P(EDGMA-DODT)2-SO2 cannot only maintain the reduction stability but also greatly improve the oxidation potential. LiPF6, LiDFBOP, and LiBF3Cl are good candidates for sulfone-based polymers. The electron-withdrawing groups (− 4Br, − 4Cl, − 4F, − NO2, and − CN) substitution can improve the oxidation potential of P(EDGMA-EDT) but have little effect on the oxidation potential of P(EDGMA-DODT) and reduce the reduction stability of both polymers. These findings provide theoretical guidance for the coordination structure as well as the molecular design of solid electrolytes containing ester groups and thioether. [ABSTRACT FROM AUTHOR]

The traditional diagnostic markers for mixed neuroendocrine-non-neuroendocrine neoplasms (MiNENs) are synaptophysin (SYP), chromogranin A (CHGA) and CD56. However, there is still a lack of a large series of article focused on the expression of insulinoma-associated protein 1 (INSM1) in gastrointestinal and pancreatic MiNENs. This study compared the expression of INSM1 and traditional neuroendocrine markers in MiNENs. In this study, we collected 46 cases of gastrointestinal and pancreatic MiNENs and performed immunohistochemical staining for INSM1, SYP, CHGA, and CD56. Histologically, the neuroendocrine components of MiNENs were all neuroendocrine carcinomas, with small cell neuroendocrine carcinomas accounting for 15.2% (7/46) and large cell neuroendocrine carcinomas accounting for 84.8% (39/46). With respect to immunohistochemical expression, the overall sensitivity of INSM1 was 80.4% (37/46), which was lower than that of SYP (100%, 46/46), but comparable to that of CHGA (67.4%, 31/46) or CD56 (73.9%, 34/46). The overall specificity of INSM1 was 91.3% (42/46), which was greater than that of SYP (63.0%, 29/46) and CD56 (69.6, 32/46), but was not significantly different from that of CHGA (82.6%, 38/46). The proportion of 3 + staining for SYP (100%, 46/46) was greater than that of INSM1 (71.7, 33/46), while the proportion of 3 + staining for CHGA (10.9, 5/46) or CD56 (21.7, 10/46) was lower than that of INSM1. In conclusion, INSM1 exhibited high sensitivity and specificity in the diagnosis of gastrointestinal and pancreatic MiNENs. [ABSTRACT FROM AUTHOR]

Fermented Chinese medicine (FCM), as a functional feed additive, has been widely recognized to play a significant role in protecting the intestinal health of piglets and enhancing productive performance. However, the relationship between the active components of FCM, gut microbiota, and their beneficial effects on animal performance remains unclear. In this study, metabolomics analysis revealed a significant increase in the main contents of lactic acid and propionic acid in FCM, while most glycosides and their derivatives decreased after three days of microbial fermentation. Subsequently, piglets were fed a basic diet supplemented with 1% FCM, while the control group received only the basic diet. The results indicated a significant increase in feed intake and average daily gain within 14 days (P<0.05) due to FCM supplementation. Additionally, FCM significantly improved feed efficiency from 1.76 to 1.50 (P<0.05), and piglets in the FCM group exhibited significantly lower frequencies of diarrhea and coughing, which indicated improved health condition by FCM. Moreover, high-throughput sequencing analysis revealed higher abundances of Lactobacillus agilis, Megasphaera elsdenii, Ligilactobacillus, and Veillonellaceae in FCM group. In summary, FCM increased the content of active metabolites through microbial fermentation and regulated the intestinal microbiota to improve the health of piglets. FCM offers a promising potential for enhancing production performance and economic efficiency in the livestock industry. [ABSTRACT FROM AUTHOR]

Glaucoma poses a significant threat to vision, capable of causing irreversible damage and, in severe instances, leading to permanent blindness. Accurate optic cup (OC) and optic disc (OD) segmentation are essential in glaucoma screening. In this study, a novel OC and OD segmentation approach is proposed. Based on U‐Net, it is optimized by introducing cardinality dimensions. Moreover, attention gates are implemented to reinforce salient features while suppressing irrelevant information. Additionally, a convolutional block attention module (CBAM) is integrated into the decoder segment. This fusion hones in on effective information in both channel and spatial dimensions. Meanwhile, an image processing procedure is proposed for image normalization and enhancement. All of these increase the accuracy of the model. This model is evaluated on the ORIGA and REFUGE datasets, demonstrating the model's superiority in OC and OD segmentation compared to the state‐of‐the‐art methods. Additionally, after the proposed image processing, cup‐to‐disc ratio (CDR) prediction on a batch of 155 in‐house fundus images yields an absolute CDR error of 0.099, which is reduced by 0.04 compared to the case where only conventional processing was performed. [ABSTRACT FROM AUTHOR]

Anisotropic optical 2D materials are crucial for achieving multiple‐quanta functions within quantum materials, which enables the fabrication of axially polarized electronic and optoelectronic devices. In this work, multiple excitonic emissions owning polarization‐sensitive orientations are clearly detected in a multilayered quasi‐1D ZrS3 nanoribbon with respect to the nanostripe edge. Four excitons denoted as AS1, AS2, AS, and A2 with E ⊥ b polarized direction and one prominent A1 exciton with E || b polarized emission are simultaneously detected in the polarized micro‐photoluminescence (µPL) measurement of 1.9–2.2 eV at 10 K. In contrast to light emission, polarized micro‐thermoreflectance (µTR) measurements are performed to identify the polarization dependence and verify the excitons in the multilayered ZrS3 nanoribbon from the perspective of light absorption. At 10 K, a prominent and broadened peak on the lower‐energy side, containing an indirect resonant emission (DI) observed by µPL and an indirect defect‐bound exciton peak (AInd) observed by both µPL and µTR, is simultaneously detected, confirming the existence of a quasi‐direct band edge in ZrS3. A van der Waals stacked p‐GaSe/n‐ZrS3 heterojunction solar cell is fabricated, which demonstrates a maximum axially‐polarized conversion efficiency up to 0.412% as the E || b polarized light incident onto the device. [ABSTRACT FROM AUTHOR]

Dielectrics with high‐energy‐storage performance are highly desired for increasing compact‐size energy storage, and integration of modern power electronics. However, an ever‐existing challenge is to achieve both high efficiency (η) and high energy density (Ue). Here, a gradient‐layered (five‐layer) polyetherimide (PEI)‐based nanocomposite is presented. Different from traditional layered structures (modulation of filler volume fraction), multistage gradient interfaces are constructed by modulating the particle sizes of barium titanate nanoparticles (BaTiO3 NPs) to decrease sequentially from top to bottom. In this structure, three BaTiO3 NPs/PEI layers are clamped by two boron nitride nanosheets (BNNSs)/PEI layers. It is demonstrated that the gradient structure can suppress breakdown and confer high interfacial polarization, simultaneously. Consequently, the nanocomposite possesses an enhanced Ue of 16.38 J cm−3, and an ultrahigh η of 97.79%, far exceeding previously reported polymer nanocomposites. Furthermore, this nanocomposite also demonstrates satisfactory high‐temperature energy storage performances, achieving a Ue of 7.36 J cm−3 and an η of 83.12% at 150 °C. This gradient layered structure design opens a new way to explore high‐performance dielectric polymer nanocomposite with both ultrahigh Ue and η. [ABSTRACT FROM AUTHOR]

The traditional method of constructing the prior model for stochastic inversion mainly uses well-logging data to obtain the stationary range from the variogram to characterize the complex non-stationary spatial tectonic features of the subsurface layers. Unfortunately, it is hard for the stationary range to precisely describe the complex non-stationary spatial tectonic features of the subsurface layers. The established prior model is also difficult to use to describe the real spatial tectonic features of the subsurface media; thus, it cannot provide reliable prior information for the inversion. Therefore, according to the theory of random media, we extract the non-stationary statistical characteristic parameters that change with spatial coordinates from the known information such as seismic and well-logging data, to accurately and reliably characterize the non-stationary spatial tectonic of the subsurface media. Then, combined with fast Fourier transform-moving average spectral simulation, a spectral simulation method based on non-stationary statistical characteristic parameters is built to construct the spectral simulation results that can more accurately conform to the spatial tectonic features of the subsurface media, to provide reliable and reasonable geostatistical prior information for a better inversion result. [ABSTRACT FROM AUTHOR]

Novel D‐A1‐A2‐π‐A organic sensitizers (FZ‐sensitizer), utilizing spiro [fluorene‐9,9′‐phenanthren]‐10′‐one and benzo [c][1,2,5]thiadiazole moiety as two auxiliary acceptors, are synthesized and applied in dye‐sensitized solar cells (DSSCs) and hydrogen production. By incorporating a bulky spiro [fluorene‐9,9′‐phenanthrene]‐10′‐one (A1) and benzo[c][1,2,5]thiadiazole (A2) between the donor (D) and π‐bridge moiety, structural modifications inhibit molecular aggregation, while the carbonyl group enhances the capture of Li+ ions, thereby delaying charge recombination. Furthermore, the extended π‐conjugation broadens the light absorption range and enhances the power conversion efficiency (PCE) of FZ‐2 under AM1.5 conditions, achieving up to 5.72%. Co‐sensitization with N719 and FZ‐2 shows PCE of 9.60% under one sun. Under TL84 indoor light conditions, the efficiency is 29.69% at 2500 lux. The superior co‐sensitization performance of N719 and FZ‐2 can be attributed to FZ‐2′s high absorptivity at short wavelengths, compensating for N719′s shortcomings in this range. FZ‐sensitizers also exhibit high efficiency in photocatalytic hydrogen production. The hydrogen production activities of FZ‐2 are 9190 μmol/g (1 hour) and 76582 μmol/g (12 hours) respectively, while those of FZ‐1 are 7430 μmol/g (1 hour) and 64004 μmol/g (12 hours), indicating that FZ‐2 can inject charges into TiO2 more efficiently and utilize them for water splitting. Stability testing of photocatalytic water splitting after 12 hours shows a turnover number (TON) of 4249 for FZ‐1 and 5378 for FZ‐2. [ABSTRACT FROM AUTHOR]

Distributed acoustic sensing (DAS), converting fiber-optic cables into dense acoustic sensors, is a promising technology that offers a cost-effective and scalable solution for long-term, high-resolution studies in ocean acoustics. In this paper, the telecommunication cable of Martha's Vineyard Coastal Observatory (MVCO) is used to explore the feasibility of cable localization and shallow-water sound propagation with a mobile acoustic source. The MVCO DAS array records coherent, high-quality acoustic signals in the frequency band of 105–160 Hz, and a two-step inversion method is used to improve the location accuracy of DAS channels, reducing the location uncertainty to ∼2 m. The DAS array with refined channel positions enables the high-resolution observation of acoustic modal interference. Numerical simulations that reproduce the observed interference pattern suggest a compressional speed of 1750 m/s in the sediment, which is consistent with previous in situ geoacoustic measurements. These findings demonstrate the long-term potential of DAS for high-resolution ocean acoustic studies. [ABSTRACT FROM AUTHOR]

As oceanographic models advance in complexity, accuracy, and resolution, in situ measurements must provide spatiotemporal information with sufficient resolution to inform and validate those models. In this study, water masses at the New England shelf break were mapped using scientific echosounders combined with water column property measurements from a single conductivity, temperature, and depth (CTD) profile. The acoustically-inferred map of sound speed was compared with a sound speed cross section based on two-dimensional interpolation of multiple CTD profiles. Long-range acoustic propagation models were then parameterized by the sound speed profiles estimated by the two methods and differences were compared. [ABSTRACT FROM AUTHOR]

Aim: Geographic range shifts are a common species' response to climate change. While occurrence data are commonly used to estimate species' geographical range shifts, ongoing debate suggests that local abundance data may be increasingly important for the estimates, but few studies have investigated differences between the above two types of data. We aimed to explore whether occurrence and abundance data would result in different patterns of geographic range shifts for marine fishes. Location: Northeast US Continental Shelf, North Sea, and East Bering Sea. Methods: We used bottom trawl datasets since 1968 in the three large marine communities to assess whether data types would affect estimated shifts in marine fish species. The range centroids of individual species were first estimated every year and linear regressions were fitted to estimate shift rates in both longitudinal and latitudinal directions. The average range centroids of the last 5 years were used to compare differences between the data types in species' shifts. We then grouped species by traits to overview species compositions. Results: Significant differences in shift trends between regressions based on annual occurrence‐ and abundance‐based range centroids were found in species' longitudinal shifts, particularly in the Northeast US Continental Shelf and North Sea. Approximately 38.5%–45.9% of fish species in the large marine communities had inconsistent shift directions when estimated by different data types. In comparison with the average range centroids of the last 5 years between the two data types, large changes were identified in the magnitudes of the shift distances towards the east and west. Fish species with inconsistent shifts between the two data types were mostly composed of commercial and demersal species. Main Conclusions: The results provide observed differences over decades and suggest caution on the estimation of species' geographic range shifts using occurrence and abundance data and highlight the differences for future assessments of marine species shifts under climate change. [ABSTRACT FROM AUTHOR]

Control of oxidation/antioxidation homeostasis is important for cellular protective functions, and disruption of the antioxidation balance by exogenous and endogenous ligands can lead to profound pathological consequences of cancerous commitment within cells. Although cancers are sensitive to antioxidation drugs, these drugs are sometimes associated with problems including tumor resistance or dose-limiting toxicity in host animals and patients. These problems are often caused by the imbalance between the levels of oxidative stress-induced reactive oxygen species (ROS) and the redox efficacy of antioxidants. Increased ROS levels, because of abnormal function, including metabolic abnormality and signaling aberrations, can promote tumorigenesis and the progression of malignancy, which are generated by genome mutations and activation of proto-oncogene signaling. This hypothesis is supported by various experiments showing that the balance of oxidative stress and redox control is important for cancer therapy. Although many antioxidant drugs exhibit therapeutic potential, there is a heterogeneity of antioxidation functions, including cell growth, cell survival, invasion abilities, and tumor formation, as well as the expression of marker genes including tumor suppressor proteins, cell cycle regulators, nuclear factor erythroid 2-related factor 2, and Jun dimerization protein 2; their effectiveness in cancer remains unproven. Here, we summarize the rationale for the use of antioxidative drugs in preclinical and clinical antioxidant therapy of cancer, and recent advances in this area using cancer cells and their organoids, including the targeting of ROS homeostasis. [ABSTRACT FROM AUTHOR]

Li plating is widely known as the key factor leading to degradation and safety issues in lithium‐ion batteries (LIBs). Herein, the feasibility of monitoring the onset and progression of Li plating is proposed and justified in the graphite/LiFePO4 pouch cell by an operando impedance‐thickness combinational technique. First, as a proof‐of‐concept, the real‐time thickness/impedance variations of LIBs during charging at low temperature (≈0 °C) are obtained and dissected. Three distinct stages corresponding to different Li plating patterns are observed with the critical changing points of charge‐transfer resistance, which match well with the counterpoints in the differential thickness/capacity curves. Post‐mortem analysis by Mass Titration and Scanning Microscopy also indicate that these stages are Li intercalation, Li nucleation & nuclei growth, and Li dendrite growth, respectively. Thereafter, different cycling protocols are proposed and carried out to test the as‐mentioned Li plating processes by this novel technique. The results disclose that the extensive deposition of metallic Li significantly intensifies the loss of Li inventory, leading to cell aging or even a "capacity plunge", and depict a safer boundary plot about preventing the occurrence of "Li plating" region. This work provides new insights on Li plating behavior and battery safety control under harsh operational conditions. [ABSTRACT FROM AUTHOR]

This research aimed to investigate the impacts of a combination of rice husk biochar and organic fertilizer on the physical and chemical properties of soil, the population of soil bacteria, the relative chlorophyll content of leaves, the development of soybean root nodules, and yield components under strongly acid soil conditions. A greenhouse and pot experiment was designed using a randomize complete block design with factorial 2 × 3 treatments and three replications. The experimental treatments comprised two rates of biochar (35 and 70 g/pot) and three rates of organic fertilizer (70, 105, and 140 g/pot). After 100 days of amendment of strongly acidic soils, the results showed that application of treatments B35F70 and B70F140 increased soil pH by 16.80% compared to the control group (CK). On the other hand, treatments B35F140 and B70F105 resulted in an increase of soil electrical conductivity by 66.67% compared to CK. In addition, after 100 days of amendment with treatments B35F105, B35F105, B35F140, B70F105, B70F70, B70F70, and B35F140, organic matter, available phosphorous (P), potassium (K), calcium (Ca), magnesium (Mg), copper (Cu), and zinc (Zn), organic matter, available phosphorous (P), potassium (K), calcium (Ca), magnesium (Mg), copper (Cu), and zinc (Zn), significantly increased when compared to the control group (CK). Treatment B35F140 increased relative leaf chlorophyll content and soybean seed weight per plant by 60.76% and 100.56%, respectively when compared to the CK. Furthermore, treatment B35F70 produced 125% more root nodules than CK. Moreover, each amended strongly acid soil resulted with a significant upsurge in total soil bacteria compared to the CK. Overall, statistics proved that a combination of biochar and organic fertilizer improved soil properties and soybean agronomic attributes. [ABSTRACT FROM AUTHOR]

Substation equipment defect detection has always played an important role in equipment operation and maintenance. However, the task scenarios of substation equipment defect detection are complex and different. Recent studies have revealed issues such as a significant missed detection rate for small-sized targets and diminished detection precision. At the same time, the current mainstream detection algorithms are highly complex, which is not conducive to deployment on resource-constrained devices. In view of the above problems, a small target and lightweight substation main scene equipment defect detection algorithm is proposed: Efficient Attentional Lightweight-YOLO (EAL-YOLO), which detection accuracy exceeds the current mainstream model, and the number of parameters and floating point operations (FLOPs) are also advantageous. Firstly, the EfficientFormerV2 is used to optimize the model backbone, and the Large Separable Kernel Attention (LSKA) mechanism has been incorporated into the Spatial Pyramid Pooling Fast (SPPF) to enhance the model's feature extraction capabilities; secondly, a small target neck network Attentional scale Sequence Fusion P2-Neck (ASF2-Neck) is proposed to enhance the model's ability to detect small target defects; finally, in order to facilitate deployment on resource-constrained devices, a lightweight shared convolution detection head module Lightweight Shared Convolutional Head (LSCHead) is proposed. Experiments show that compared with YOLOv8n, EAL-YOLO has improved its accuracy by 2.93 percentage points, and the mAP50 of 12 types of typical equipment defects has reached 92.26%. Concurrently, the quantity of FLOPs and parameters has diminished by 46.5% and 61.17% respectively, in comparison with YOLOv8s, meeting the needs of substation defect detection. [ABSTRACT FROM AUTHOR]

The oriental lily 'Casa Blanca' is one of the most popular and high-value flowers. The period for keeping these flowers refrigerated is limited. Therefore, forecasting the prices of oriental lilies is crucial for determining the optimal planting time and, consequently, the profits earned by flower growers. Traditionally, the prediction of oriental lily prices has primarily relied on the experience and domain knowledge of farmers, lacking systematic analysis. This study aims to predict daily oriental lily prices at wholesale markets in Taiwan using many-to-many Long Short-Term Memory (MMLSTM) models. The determination of hyperparameters in MMLSTM models significantly influences their forecasting performance. This study employs Optuna, a hyperparameter optimization technique specifically designed for machine learning models, to select the hyperparameters of MMLSTM models. Various modeling datasets and forecasting time windows are used to evaluate the performance of the designed many-to-many Long Short-Term Memory with Optuna (MMLSTMOPT) models in predicting daily oriental lily prices. Numerical results indicate that the developed MMLSTMOPT model achieves highly satisfactory forecasting accuracy with an average mean absolute percentage error value of 12.7%. Thus, the MMLSTMOPT model is a feasible and promising alternative for forecasting the daily oriental lily prices. [ABSTRACT FROM AUTHOR]

Background Temporomandibular disorders (TMD) are the leading cause of pain and disability among frequently occurring facial pain and the second leading cause of musculoskeletal conditions. Aim We examined whether acupuncture could alleviate pain intensity in patients with TMD. Design and methods Sixty participants with TMD were randomly assigned (ratio 1:1) to receive three acupuncture or sham acupuncture sessions weekly for 4 weeks. The primary outcome was the change in the mean weekly pain intensity from baseline to week 4. Secondary and exploratory outcomes included proportion of participants with ≥30% or ≥50% reduction in pain intensity, change in jaw opening and movement, graded chronic pain scale, jaw functional limitations scale-20-item, depression, anxiety and stress scales-21, Pittsburgh sleep quality index at week 4 and 8, and the pressure pain threshold and surface electromyography at week 4. Results and conclusion The acupuncture group showed significantly reduced pain intensity compared to the sham group at week 4 (−1.49, 95% confidence interval [CI]: −2.32 to −0.65; P  < 0.001) and week 8 (−1.23, 95% CI: −2.11 to −0.54; P  = 0.001). Acupuncture's effectiveness surpassed sham's at 4 weeks and lasted 8 weeks. Participants in the acupuncture group experienced significantly greater improvements in the 30% and 50% response rate, jaw opening and movement, GCPS, JFLS-20, DASS-21 and PSQI than those in the sham acupuncture group. There were no significant between-group differences in PPT and sEMG. In summary, acupuncture provided marked pain relief and improvement in physical and emotional function for patients with TMD compared with sham acupuncture. [ABSTRACT FROM AUTHOR]

Although neuropsychiatric manifestations are common in survivors of coronavirus disease 2019 (COVID-19), the pathophysiology is not yet elucidated. Here we describe the case of a geriatric inpatient who developed post-COVID depression with psychomotor retardation, anxiety, hopelessness, executive function problems, and suicidal ideations. The language problems and cognitive impairments coemerged with the motor problems. We propose a mechanism associated with problems in energy prediction and regulation in which the coronavirus infection, which causes neuroinflammation and viral activity in the nervous system, interferes with the reward pathway and sensory prediction process. Sigma-1 receptor agonists such as sertraline may regulate energy expenditure and, thus, be beneficial to the process. The treatment improvements in our patient included those in the autonomic nervous system, activity, and circadian rhythm. [ABSTRACT FROM AUTHOR]

Purpose: Individualized anticoagulation therapy is a major challenge for patients after heart valve replacement. Mobile applications assisted by Artificial intelligence (AI) have great potential to meet the individual needs of patients. The study aimed to develop an AI technology-assisted mobile application (app) for anticoagulation management, understand patients' acceptance of such applications, and determine its feasibility. Methods: After using the mobile application for anticoagulation management for 2 weeks, patients, doctors, and nurses rated its usability using the System Usability Scale (SUS). Additionally, semi-structured interviews were conducted with some patients, doctors, and nurses to gain insights about their thoughts and suggestions regarding the procedure. Results: The study comprised 80 participants, including 38 patients, 18 doctors, and 24 nurses. The average SUS score for patients was 82.37± 5.45; for doctors, it was 84.17± 5.82; and for nurses, it was 81.88± 6.44. This means the patients, physicians, and nurses rated the app highly usable. Semi-structured interviews were conducted on the app's usability with 18 participants (six nurses, three physicians, and nine patients). The interview results revealed that patients found the application of anticoagulation management simple and convenient, with high expectations for a precise dosage recommendation of anticoagulant drugs. Some patients expressed concerns regarding personal information security. Both doctors and nurses believed that elderly patients needed assistance from young family members to use the app and that it could improve patients' anticoagulant self-management ability. Some nurses also mentioned that the use of the app brought great convenience for transitional care. Conclusion: This study confirmed the feasibility of using an AI technology-assisted mobile application for anticoagulation management in patients after heart valve replacement. To further develop this application, challenges lie in continuously improving the accuracy of recommended drug doses, obtaining family support, and ensuring information security. [ABSTRACT FROM AUTHOR]

Long interspersed nuclear element-1 (LINE-1) methylation serves as an indicator of global DNA methylation. This study explored the correlation between LINE-1 methylation and chronic kidney disease (CKD). We also evaluated whether LINE-1 methylation could modify the association between CKD and metal exposure. A total of 213 patients with clinically defined CKD, without hemodialysis and 416 age and sex matched controls were recruited. Levels of LINE-1 methylation, total urinary arsenic, blood lead, blood cadmium, and plasma selenium were assessed. The results reveal a positive association between LINE-1 methylation and CKD, with an odds ratio (OR) of 5.30 (95% confidence interval: 2.81 to 9.99). Total urinary arsenic and blood cadmium concentrations were positively related with LINE-1 methylation. This study was the first to observe that low plasma selenium, high blood cadmium, and high blood lead levels significantly and additively interact with increased LINE-1 methylation to increase the OR of CKD. Additionally, high LINE-1 methylation interacted multiplicatively with low plasma selenium to increase the OR of CKD (p < 0.001). This study highlighted the significant association between LINE-1 hypermethylation and CKD. Furthermore, the results demonstrate that LINE-1 methylation can interact with high blood cadmium or low plasma selenium to affect CKD risk. [ABSTRACT FROM AUTHOR]

In silico toxicogenomics methods are resource- and time-efficient approaches for inferring chemical–protein–disease associations with potential mechanism information for exploring toxicological effects. However, current in silico toxicogenomics systems make inferences based on only chemical–protein interactions without considering tissue-specific gene/protein expressions. As a result, inferred diseases could be overpredicted with false positives. In this work, six tissue-specific expression datasets of genes and proteins were collected from the Expression Atlas. Genes were then categorized into high, medium, and low expression levels in a tissue- and dataset-specific manner. Subsequently, the tissue-specific expression datasets were incorporated into the chemical–protein–disease inference process of our ChemDIS system by filtering out relatively low-expressed genes. By incorporating tissue-specific gene/protein expression data, the enrichment rate for chemical–disease inference was largely improved with up to 62.26% improvement. A case study of melamine showed the ability of the proposed method to identify more specific disease terms that are consistent with the literature. A user-friendly user interface was implemented in the ChemDIS system. The methodology is expected to be useful for chemical–disease inference and can be implemented for other in silico toxicogenomics tools. [ABSTRACT FROM AUTHOR]

Scant research has explored how the emotions of gift‐givers influence their gift selection, particularly negative emotions. Addressing this gap, this research examines how guilt impacts gift‐giving, capitalizing on the conceptual link between guilt, power, and size. Through four experiments, we demonstrate that, compared with gift‐givers in a control condition, guilty gift‐givers are more likely to choose conspicuously branded gifts—items with highly noticeable, large brand logos. We observe this effect using different scenarios and the autobiographical recall procedure to elicit guilt, as well as a variety of operationalizations of brand conspicuousness. We find that the sense of power and power restoration provided by the gift account for the results. Moreover, the preference for a conspicuously branded gift diminishes when guilty gift‐givers engage in reparative actions to alleviate their guilt prior to gift‐giving. This research contributes to the literature on guilt, power, and conspicuous consumption by revealing a novel consequence of guilt on consumer choice in gift‐giving contexts and expanding our understanding of conspicuous brand usage. The findings have practical implications for marketers, particularly in using guilt appeals and promoting conspicuously branded gifts. Finally, we suggest future research directions related to positive emotions and other outcomes of interest in gift‐giving. [ABSTRACT FROM AUTHOR]

(-)-Epigallocatechin-3-O-gallate (EGCG), one of the green tea catechins, exhibits significant antioxidant properties that play an essential role in various diseases. However, the functional role and underlying mechanism of EGCG in stimulating of hepatic stellate cells (HSCs) remain unexplored in transcriptomics sequencing studies. The present study suggests that oral administration of EGCG at a dosage of 200 mg/kg/day for a duration of four weeks exhibits significant therapeutic potential in a murine model of liver fibrosis induced by CCl4. The activation of HSCs in vitro was dose-dependently inhibited by EGCG. The sequencing analysis data reveled that EGCG exerted a regulatory effect on the calcium signal in mouse HSCs, resulting in a decrease in calcium ion concentration. Further analysis revealed that EGCG inhibited the expression of phospholipase C epsilon-1 (PLCE1) and inositol 1, 4, 5-trisphosphate (IP3) in activated mouse HSCs. Additionally, EGCG contributes to the reduction the concentration of calcium ions by regulating PLCE1. After the knockdown of PLCE1, free calcium ion concentrations decreased, resulting in the inhibition of both cell proliferation and migration. Interestingly, the expression of PLCE1 and cytosolic calcium levels were regulated by reactive oxygen species(ROS). Furthermore, our findings suggest that ROS might inhibit the expression of PLCE1 by inhibiting TFEB, a transcription activator involved in the nuclear translocation process. Our study provided novel evidence regarding the regulatory effects of EGCG on activated HSCs (aHSCs) in mice by the calcium signaling pathway, emphasizing the crucial role of PLCE1 within the calcium signaling network of HSCs. The proposition was also made that PLCE1 holds promise as a novel therapeutic target for murine liver fibrosis. [ABSTRACT FROM AUTHOR]

This study introduces a new analytical framework that employs the image‐well method to simulate the spatial and temporal temperature distribution in vertical borehole thermal energy storage (BTES) systems. The model accommodates complex boundary shapes and conditions, including insulation, convection, and constant temperature, without requiring iterative solutions at each time step. The model's accuracy and utility are demonstrated through an application to a borehole heat exchanger cluster arranged in an octagonal shape with insulating boundaries, based on a BTES site in Drake Landing (Canada). Model predictions are validated against a finite element model, showing a root‐mean‐square error of 0.012°C. A global sensitivity analysis highlights the influence of thermal parameters on system performance, identifying the heat flux of the borehole heat exchanger as the most sensitive parameter. Overall, this approach combines the advantages of analytical and numerical techniques to provide a clear and efficient tool for evaluating BTES systems, offering significant potential for advancing sustainable energy solutions. [ABSTRACT FROM AUTHOR]

The all‐solid‐state lithium batteries (ASSLBs) stand as a promising candidate for the next generation of high‐energy‐density batteries with superior safety. Nevertheless, achieving high energy density in ASSLBs necessitates the simultaneous realization of high active material content and loading, posing a significant challenge in ensuring effective Li‐ion conduction within the cathode. Notably, the inhomogeneous distribution of cathode particles causes high porosity and tortuosity within the composite cathodes, thereby adversely impacting the electrochemical performance of the battery. Herein, an in situ liquid‐phase method for the fabrication of LiNi0.8Co0.1Mn0.1O2(NCM811) composite cathode is proposed. This strategy ensures the generation of uniformly distributed and densely packed composite cathode, establishing a well‐networked conduction path that ensures exceptional electronic and ionic conductivity. ASSLBs utilizing LP‐cathode exhibit outstanding electrochemical performance. It delivers a high capacity of 233.3 mAh g−1 at 0.05 C with superior rate capability and remarkable long‐term cycling stability. Moreover, ASSLBs manifest exceptional electrochemical performance, even at a high cathode active material content of 80%. This underscores the efficacy of the liquid‐phase method in constructing low‐tortuosity electrodes and accelerating charge transport kinetics, thereby enhancing the overall performance of ASSLBs. This approach holds promise for addressing the challenges associated with achieving high energy density and facilitating the development of ASSLBs. [ABSTRACT FROM AUTHOR]

Patient‐derived organoids (PDOs) may facilitate treatment selection. This retrospective cohort study evaluated the feasibility and clinical benefit of using PDOs to guide personalized treatment in metastatic breast cancer (MBC). Patients diagnosed with MBC were recruited between January 2019 and August 2022. PDOs were established and the efficacy of customized drug panels was determined by measuring cell mortality after drug exposure. Patients receiving organoid‐guided treatment (OGT) were matched 1:2 by nearest neighbor propensity scores with patients receiving treatment of physician's choice (TPC). The primary outcome was progression‐free survival. Secondary outcomes included objective response rate and disease control rate. Targeted gene sequencing and pathway enrichment analysis were performed. Forty‐six PDOs (46 of 51, 90.2%) were generated from 45 MBC patients. PDO drug screening showed an accuracy of 78.4% (95% CI 64.9%–91.9%) in predicting clinical responses. Thirty‐six OGT patients were matched to 69 TPC patients. OGT was associated with prolonged median progression‐free survival (11.0 months vs. 5.0 months; hazard ratio 0.53 [95% CI 0.33–0.85]; p =.01) and improved disease control (88.9% vs. 63.8%; odd ratio 4.26 [1.44–18.62]) compared with TPC. The objective response rate of both groups was similar. Pathway enrichment analysis in hormone receptor‐positive, human epidermal growth factor receptor 2‐negative patients demonstrated differentially modulated pathways implicated in DNA repair and transcriptional regulation in those with reduced response to capecitabine/gemcitabine, and pathways associated with cell cycle regulation in those with reduced response to palbociclib. Our study shows that PDO‐based functional precision medicine is a feasible and effective strategy for MBC treatment optimization and customization. [ABSTRACT FROM AUTHOR]

Background: Both individuals and society bear a considerable burden from ischemic stroke (IS), not only do patients continue suffering from motor dysfunction after discharge from hospital, but their caregivers also undertake the principal responsibility of assisting them in reintegrating into the family and society. To better improve the IS patients' limb function and daily life activities, their caregivers should also be involved in the training of the motor function rehabilitation during the period transitioning from hospital back home. This study mainly aims to investigate the effects of a nurse-led training for IS patients and their family caregivers on the improvement of the patients' physical function and the burden of caregivers. Methods/design: A randomized controlled trial with blind assessment will be conducted in hospitals and during the follow-ups at home. Fifty-eight pairs of adults diagnosed with ischemic stroke and their primary caregivers will be included. Participants will be randomly given with (1) a nurse-led, home-based motor rehabilitation training participated by caregivers (intervention group) or (2) routine self-care (control group). Both groups will receive assessment and health guidance on the day of discharge, and the intervention group will receive an additional home-based training program and supervision. These two groups will be followed up every week after discharge. The primary results are drawn from the evaluation of physical function and caregiver-related burden, and the secondary results derived from statistics of the modified Barthel index, stroke-specific quality of life, and National Institutes of Health Stroke Scale. Differences between the two groups will be measured by two-way repeated measures ANOVA, considering the data at baseline and at 1-week and 4-week follow-up after training. Discussion: Results may provide novel and valuable information on the effects of this culturally appropriate, caregiver-involved, and home-based rehabilitation training on the physical function of IS patients and caregiver-related burden. Trial registration: Chinese Clinical Trial Registry (chictr.org.cn) ChiCTR2300078798. Registered on December 19, 2023. [ABSTRACT FROM AUTHOR]

Purpose: Chlamydia trachomatis (C. trachomatis) is associated with several gynecological tumors; yet its prognostic role in breast cancer remains unclear. Thus, we investigated the prognostic role of anti-C. trachomatis immunoglobulin G (IgG) in breast cancer patients and the modification effects of pro-inflammatory cytokines. Methods: The serum levels of C. trachomatis IgG and four pro-inflammatory cytokines were measured. Cox regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs), including product terms to assess the modification effects of pro-inflammatory cytokines on the association between C. trachomatis IgG and breast cancer prognosis. Results: From 2008 to 2018, 1121 breast cancer patients were recruited and followed up until December 31, 2021, with a median follow-up time of 63.91 months (interquartile range: 39.16– 90.08 months). Patients positive for C. trachomatis IgG showed HRs of 1.09 (95% CI, 0.67– 1.78) for overall survival (OS) and 1.24 (0.87– 1.78) for progression-free survival (PFS), compared to those who were negative. These associations became statistically significant in women aged 50 years or younger (HR=1.43, 95% CI=0.79– 2.58 for OS; HR=1.79, 95% CI=1.16– 2.77 for PFS). Positive C. trachomatis IgG serology was associated with adverse prognostic effects among patients with higher levels of pro-inflammatory cytokines (IL-6, TNF-α, IL-8, and IL-1β), but with favorable prognostic effects for those with low levels. These interactions were particularly significant in those aged 50 years or younger. Conclusion: In breast cancer patients younger than 50 years of age or with higher levels of pro-inflammatory cytokines, C. trachomatis infection appeared to have a negative prognostic impact. These findings highlight the significance of C. trachomatis in predicting prognosis and personalized therapy for breast cancer patients. [ABSTRACT FROM AUTHOR]

Due to the complexity of search space and move evaluation, the game of Go has been a long-standing challenge for artificial intelligence (AI) to achieve a high level of proficiency. It was not until DeepMind proposed the deep neural network and tree search algorithm AlphaGo in 2014 that an efficient learning algorithm was developed, marking a significant milestone in AI technology. In light of the key technologies in AI Computer Go, this work examines move prediction across different Go rankings and sophisticatedly develops two deep learning models by combining and extending the feature extraction methods of AlphaGo. Specifically, effective modules for neural networks are proposed to guide learning through complicated Go situations based on the Inception module in GoogLeNet and the Convolutional Block Attention Module (CBAM). Subsequently, the two models are combined by ensemble learning to improve generalization, and these streamlined models significantly reduce the number of model parameters to the scale of one hundred thousand. Experimental results show that our models achieve prediction accuracies of 46.9% and 50.8% on two different Go datasets, outperforming conventional models by significant margins. This work not only advances AI development in the Go-game but also offers an innovative approach to related studies. [ABSTRACT FROM AUTHOR]

Accurate and early diagnosis of monkeypox virus (MPXV) is crucial for controlling epidemics and treating affected individuals promptly. This study aimed to assess the analytical and clinical performance of the MolecisionTM Monkeypox Virus qPCR Assay, Biorain Monkeypox Virus ddPCR Assay, and MAGLUMI® Monkeypox Virus Ag (chemiluminescence immunoassay, CLIA) Assay. Additionally, it aimed to compare the clinical application of antigen and nucleic acid assays to offer insights into using commercial monkeypox assay kits. Specimens from 117 clinical patients, serial diluted virus cell culture supernatant, and artificially created positive samples were tested to evaluate the performance of these assay kits for MPXV diagnostics. The Biorain Monkeypox Virus ddPCR Assay had a limit of detection (LoD) of 3.89 CCID50/mL, while the MolecisionTM Monkeypox Virus qPCR Assay had an LoD of 15.55 CCID50/mL. The MAGLUMI® Monkeypox Virus Ag (CLIA) Assay had an LoD of 0.500 pg/mL. The accuracy of the MolecisionTM Monkeypox Virus qPCR Assay was comparable to the Biorain Monkeypox Virus ddPCR Assay, and the MAGLUMI® Monkeypox Virus Ag (CLIA) Assay demonstrated high sensitivity. The specificity of all three MPXV diagnostic assays for clinical specimens with potential cross-reacting substances was 100%. In conclusion, this study provides valuable insights into the clinical application of monkeypox assays, supporting efforts to mitigate and control the spread of monkeypox. [ABSTRACT FROM AUTHOR]

Background: Stroke survivors in post-acute care frequently experience physiological dysfunction and reduced quality of life. This study aims to assess the impact of the Post-Acute Care Interprofessional Collaborative Practice (PAC-IPCP) program across different care settings, and to identify sensitive tools for assessing physiological functions among post-acute stroke survivors. Methods: This retrospective study involved 210 stroke survivors in Taiwan. Participants who self-selection for their preferred between hospital care setting and home care setting under PAC-IPCP. Multiple assessment tools were utilized, including the Barthel Index (BI), Functional Oral Intake Scale (FOIS), Mini Nutritional Assessment (MNA), EQ-5D-3L, and Instrumental Activities of Daily Living (IADL). The logistic regression was used to estimate the odds ratios of various functional assessment tools between hospital and home care settings. Additionally, the area under the ROC curves was used to determine which functional assessment tools had higher accuracy in measuring the association between care settings. Results: Of the study population, 138 stroke survivors (65.71%) selection hospital care setting and 72 stroke survivors (34.29%) selection home care setting. The PAC-IPCP program was equally effective in both care settings for physical function status and quality of life improvements. Specifically, the BI emerged as the most sensitive tool for assessing care settings, with an adjusted OR of 1.04 (95% CI:1.02– 1.07, p < 0.0001; AUC = 0.7557). IPCP-based hospital and home care models are equally effective in facilitating improved functional outcomes in post-acute stroke survivors. Conclusion: The PAC-IPCP program is versatile and effective across care settings. The BI stands out as a robust assessment tool for physiological functions, endorsing its broader clinical application. Future studies should also consider swallowing and nutritional status for a more holistic approach to rehabilitation. [ABSTRACT FROM AUTHOR]

Butterflies serve as valuable indicators of urban ecosystem quality. Due to their accessibility, they also provide urban residents with essential opportunities to connect with nature, fulfilling social functions such as education and recreation, which significantly contribute to city dwellers' physical and mental well-being. Urban mountain parks are critical habitats for butterflies; analyzing their spatial and temporal distribution and the impact of plant elements is crucial for enhancing plant landscape quality and butterfly diversity. The main results were as follows: (1) A monthly butterfly survey was carried out over the course of a year in the seven urban mountain parks of Fuzhou City. This survey recorded 46 species of butterflies from 36 genera across 7 families, totaling 2506 butterflies. (2) Among the seven habitat types analyzed, TS-, T-, and SG-habitats exhibited elevated levels of butterfly diversity, richness, abundance, and evenness. There were variations in butterfly evenness, diversity, richness, and abundance observed between these habitats. With the exception of N-habitat, there was a consistent seasonal pattern in butterfly diversity across different habitat types. (3) Butterfly diversity and abundance were significantly correlated with vegetation habitat factors across the tree, shrub, and herb layers. Multiple regression modeling using the Akaike information criterion revealed that arbor layer vegetation factors were present in the top four models for butterfly diversity, richness, abundance, and evenness. (4) The quality assessment of different habitat types ranked habitats as follows: TS-habitat > SG-habitat > TSG-habitat > T-habitat > TG-habitat > G-habitat = N-habitat. [ABSTRACT FROM AUTHOR]

Slotted ALOHA is a well-known multiple access control protocol that devices use to access a radio channel in wireless networks. Age of information (AoI) is a key network performance indicator that represents the elapsed time between the time data is generated and the time data is received. Threshold-based ALOHA, a variant of the slotted ALOHA, uses a threshold and a transmission probability to send data and meet its requirement of average AoI (AAoI), in which however energy consumption is not discussed. It is crucial that a device operates energy-efficiently to reduce energy consumption, which is conducive to extending the life of the device and reducing greenhouse gas emissions. Therefore, this paper proposes a modified threshold ALOHA in low-duty-cycle wireless networks, called LBG-threshold-ALOHA, in which a device looks up whether sensing data is generated in prior N slots before its data generation/transmission. Instead of generating data in each transmission, the LBG-threshold ALOHA uses data generated in prior N slots to send, which reduces the activity of data generation and thus yields lower energy consumption. The characteristic of lower energy consumption is beneficial to produce a lower AAoI on a network constrained by low energy consumption. Simulation results show that, under an upper limit on the mean energy consumption, the LBG-threshold-ALOHA yields a lower minimum AAoI compared to the original threshold ALOHA. [ABSTRACT FROM AUTHOR]