ACS Applied Electronic Materials最新文献

The research area of Software Defect Prediction (SDP) is both extensive and popular, and is often treated as a classification problem. Improvements in classification, pre-processing and tuning techniques, (together with many factors which can influence model performance) have encouraged this trend. However, no matter the effort in these areas, it seems that there is a ceiling in the performance of the classification models used in SDP. In this paper, the issue of classifier performance is analysed from the perspective of data complexity. Specifically, data complexity metrics are calculated using the Unified Bug Dataset, a collection of well-known SDP datasets, and then checked for correlation with the defect prediction performance of machine learning classifiers (in particular, the classifiers C5.0, Naive Bayes, Artificial Neural Networks, Random Forests, and Support Vector Machines). In this work, different domains of competence and incompetence are identified for the classifiers. Similarities and differences between the classifiers and the performance metrics are found and the Unified Bug Dataset is analysed from the perspective of data complexity. We found that certain classifiers work best in certain situations and that all data complexity metrics can be problematic, although certain classifiers did excel in some situations.

Graphomotor and time-based variables from the digital Clock Drawing Test (dCDT) characterize cognitive functions. However, no prior publications have quantified the strength of the associations between digital clock variables as they are produced. We hypothesized that analysis of the production of clock features and their interrelationships, as suggested, will differ between the command and copy test conditions. Older adults aged 65+ completed a digital clock drawing to command and copy conditions. Using a Bayesian hill-climbing algorithm and bootstrapping (10,000 samples), we derived directed acyclic graphs (DAGs) to examine network structure for command and copy dCDT variables. Although the command condition showed moderate associations between variables (${\mu }_{\left|\beta z\right|}$= 0.34) relative to the copy condition (${\mu }_{\left|\beta z\right|}$ = 0.25), the copy condition network had more connections (18/18 versus 15/18 command). Network connectivity across command and copy was most influenced by five of the 18 variables. The direction of dependencies followed the order of instructions better in the command condition network. Digitally acquired clock variables relate to one another but differ in network structure when derived from command or copy conditions. Continued analyses of clock drawing production should improve understanding of quintessential normal features to aid in early neurodegenerative disease detection.

The nuclear receptor subfamily 4 group A member 1 (NR4A1) gene plays a crucial role in both osteoporosis and adipogenesis. The present study investigated the mechanisms by which NR4A1 influences osteoblastogenesis and adipogenesis in human bone marrow‑derived mesenchymal stem cells (BMD‑MSCs). NR4A1 was overexpressed or knocked down in mouse MC3T3‑E1 osteoblast cells and 3T3‑L1 adipocyte cells, as well as in PCS‑500‑012, a BMD‑MSC line. The alkaline phosphatase (ALP) assay and Alizarin Red S staining were performed using MC3T3‑E1 and BMD‑MSCs to assess ALP activity and mineralization, while Oil Red O staining was used to assess the lipid content in 3T3‑L1 cells and BMD‑MSCs. Total RNA was isolated from control, NR4A1‑overexpressing and NR4A1 small interfering RNA (siRNA; siNR4A1)‑treated BMD‑MSCs. RNA sequencing (RNA‑seq) was performed to identify differentially expressed genes, followed by ingenuity pathway analysis (IPA) to determine the role of NR4A1 in osteoblastogenesis and adipogenesis. NR4A1 or Nr4a1 knockdown tended to increase ALP activity and significantly increased calcification in BMD‑MSCs (P<0.005) and MC3T3‑E1 cells (P<0.005), respectively. By contrast, NR4A1 or Nr4a1 overexpression significantly decreased ALP activity and calcification. NR4A1 or Nr4a1 knockdown and overexpression significantly decreased and increased adipogenesis, respectively, in BMD‑MSCs (P<0.005 and <0.05, respectively) and 3T3‑L1 cells (P<0.005 in both). Treatments of BMD‑MSCs with an NR4A1 antagonist, 1,1‑bis(3'‑indolyl)‑1‑(p‑hydroxyphenyl) methane and siNR4A1 showed similar results. RNA‑seq and IPA in control, NR4A1 knockdown and NR4A1 overexpressing cells indicated that Notch signaling mediated the effects of NR4A1 in osteoblastogenesis and adipogenesis. Expression of mastermind‑like transcriptional coactivator 3 was reduced in the Notch signaling pathway in cells treated with siNR4A1. In conclusion, NR4A1 suppressed osteoblastogenesis and promotes adipogenesis in human BMD‑MSCs. The present study also suggested that NR4A1 plays a role in the progression of osteoporosis and adipogenesis by modulating the Notch signaling cascade.

Significance: Head and neck squamous cell carcinoma (HNSCC) has the sixth highest incidence worldwide, with $>\mathrm{650,000}$ cases annually. Surgery is the primary treatment option for HNSCC, during which surgeons balance two main goals: (1) complete cancer resection and (2) preservation of normal tissues to ensure post-surgical quality of life. Unfortunately, these goals are not synergistic, where complete cancer resection is often limited by efforts to preserve normal tissues, particularly nerves, and reduce life-altering comorbidities.

Aim: Currently, no clinically validated technology exists to enhance intraoperative cancer and nerve recognition. Fluorescence-guided surgery (FGS) has successfully integrated into clinical medicine, providing surgeons with real-time visualization of important tissues and complex anatomy, where FGS imaging systems operate almost exclusively in the near-infrared (NIR, 650 to 900 nm). Notably, this spectral range permits the detection of two NIR imaging channels for spectrally distinct detection.

Approach: Herein, we evaluated the utility of spectrally distinct NIR nerve- and tumor-specific fluorophores for two-color FGS to guide HNSCC surgery. Using a human HNSCC xenograft murine model, we demonstrated that facial nerves and tumors could be readily differentiated using these nerve- and tumor-specific NIR fluorophores.

Results: The selected nerve-specific fluorophore showed no significant difference in nerve specificity and off-target tissue fluorescence in the presence of xenograft head and neck tumors. Co-administration of two NIR fluorophores demonstrated successful tissue-specific labeling of nerves and tumors in spectrally distinct NIR imaging channels.

Conclusions: We demonstrate a comprehensive FGS tool for cancer resection and nerve sparing during HNSCC procedures for future clinical translation.

Baicalein, a flavonoid monomer compound isolated from the dried root of the traditional Chinese herb Scutellaria baicalensis, has several pharmacological activities, such as anti‑inflammatory, anti‑angiogenic, antitumor, antimicrobial and antiviral properties. Acute lung injury (ALI) is characterized by injury of the alveolar epithelium and capillary endothelium, which results in decreased lung volume, decreased lung compliance, ventilation/perfusion mismatch, intrapulmonary edema, alveolar edema and even acute hypoxemic respiratory failure. The present study aimed to investigate the effects of baicalein on lung injury and inflammation. Bioinformatics analysis using network pharmacology predicted that the hypoxia inducible factor‑1α (HIF‑1α) and glycolysis signaling pathways were involved in the mechanism underlying the therapeutic effects of baicalein. Further in vitro and in vivo experiments, such as immunohistochemistry, immunofluorescence and PCR, verified that baicalein could inhibit HIF‑1α signaling, thus suppressing glycolysis, and improving inflammatory responses and ALI. Taken together, the results of the present study suggested that the anti‑inflammatory effects of baicalein on treating ALI were associated with its ability to suppress glycolysis via the HIF‑1α signaling pathway.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that the flow cytometric assay data shown in Fig. 2C on p. 5, certain of the fluorescence microscopy data shown in Fig. 4B on p. 7, the FerroOrange‑stained cellular data in Fig. 5B and the C11‑BODIPY581/591‑stained cellular data in Fig. 5C on p. 8, and the cell autophagic data in Fig. 6E and G on p. 9 were strikingly similar to data that had already been submitted for publication in different form in different articles written by different authors at different research institutes (a few of which have now been retracted). Owing to the fact that the contentious data in the above article had already been published, or were already under consideration for publication, prior to its submission to Molecular Medicine Reports, the Editor has decided that this paper should be retracted from the Journal. The authors were asked for an explanation to account for these concerns, but the Editorial Office did not receive a satisfactory reply. The Editor apologizes to the readership for any inconvenience caused. [Molecular Medicine Reports 27: 76, 2023; DOI: 10.3892/mmr.2023.12963].

Gastric cancer stem cells (GCSCs) contribute to the challenging aspects of gastric cancer, such as progression, metastasis, treatment resistance and recurrence. Inhibitors targeting cyclophilin A (CypA) have shown potential in curtailing GCSC growth. Building upon this, the current study delved deeper into understanding the functional role of CypA in controlling the proliferation and metastatic capabilities of GCSCs, employing CypA‑specific small interfering RNA. The results revealed that knockdown of CypA led to significant suppression of the growth and tumorsphere‑forming capacity of GCSCs derived from AGS cells. This effect was mediated by arresting the cell cycle at the G₀/G₁ and S phases, and promoting apoptosis. Furthermore, silencing of CypA exerted inhibitory effects on the migration and invasion of AGS GCSCs by modulating the process of epithelial‑mesenchymal transition. Notably, the observed antiproliferative and antimetastatic effects of CypA knockdown were associated with the downregulation of critical regulators of gastric cancer stemness, such as CD44, CD133, aldehyde dehydrogenase 1 family member A1, NANOG, OCT4 and SOX2. This regulation occurred through inactivation of the CD147/STAT3/AKT/ERK signaling pathway. Additionally, CypA knockdown effectively curbed in vivo tumor growth of AGS GCSCs in a chorioallantoic membrane assay using chick embryos. These findings underscore the critical role of CypA in promoting the proliferation and metastasis of GCSCs, highlighting its potential as an effective therapeutic target for eradicating GCSCs and improving gastric cancer treatment outcomes.

Given the popularity and ease of single-item craving assessments, we developed a multi-item measure and compared it to common single-item assessments in an ecological momentary assessment (EMA) context. Two weeks of EMA data were collected from 48 emerging adults (56.25% female, 85.42% White) who frequently used cannabis. Eight craving items were administered, and multilevel factor analyses were used to identify the best fitting model. The resulting scale's factors represented purposefulness/general desire and emotionality/negative affect craving. Convergent validity was examined using measures of craving, cannabis use disorder symptoms, frequency of use, cannabis cue reactivity, cannabis use, negative affect, and impulsivity. The scale factors were associated with cue-reactivity craving, negative affect, impulsivity, and subfactors of existing craving measures. For researchers interested in using a single item to capture craving, one item performed particularly well. However, the new scale may provide a more nuanced assessment of mechanisms underlying craving.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that certain of the  Transwell invasion assay data shown in Fig. 5E on p. 9 were strikingly similar to data that had already been published in different form in another article written by different authors at a different research institute [Zuo K, Zhao Y, Zheng Y, Chen D, Liu X, Du S and Liu Q: Long non‑coding RNA XIST promotes malignant behavior of epithelial ovarian cancer. Onco Targets Ther 12: 7261‑7267, 2019]. Owing to the fact that the contentious data in the above article had already been published prior to its submission to Molecular Medicine Reports, the Editor has decided that this paper should be retracted from the Journal. The authors were asked for an explanation to account for these concerns, but the Editorial Office did not receive a satisfactory reply. The Editor apologizes to the readership for any inconvenience caused. [Molecular Medicine Reports 25: 112, 2022; DOI: 10.3892/mmr.2022.12628].

Peripheral nerve injury exacerbates progression of muscle heterotopic ossification (HO) and induces changes in expression of local cytokines in muscle tissue. The objective of the present study was to assess the impact of peripheral nerve injury on muscle HO development and the mechanism of cytokine modulation. A mouse model of gastrocnemius muscle HO was established and the sciatic nerve cut to simulate peripheral nerve injury. To evaluate the underlying factors contributing to the exacerbation of muscle HO resulting from denervation, fresh muscle tissue was collected and micro‑computed tomography, histochemical staining, RNA‑sequencing, reverse transcription‑quantitative PCR, Western blot, muscle tissue chip array were performed to analyze the molecular mechanisms. Sciatic nerve injury exacerbated HO in the gastrocnemius muscle of mice. Moreover the osteogenic differentiation of nerve‑injured muscle tissue‑derived fibro‑adipogenic progenitors (FAPs) increased in vitro. The expression of neuregulin 3 (NRG3) was demonstrated to be increased after nerve injury by muscle tissue chip array. Subsequent transcriptome sequencing analysis of muscle tissue revealed an enrichment of the PI3K/Akt pathway following nerve injury and an inhibitor of the PI3K/Akt pathway reduced the osteogenic differentiation of FAPs. Mechanistically, in vitro, peripheral nerve injury increased secretion of NRG3, which, following binding to ErbB4 on the cell surface of FAPs, promoted expression of osteogenesis‑associated genes via the PI3K/Akt signaling pathway, thus contributing to osteogenic differentiation of FAPs. In vivo, inhibition of the PI3K/Akt pathway effectively protected against muscle HO induced by peripheral nerve injury in mice. The present study demonstrated that the regulatory roles of NRG3 and the PI3K/Akt pathway in peripheral nerve injury exacerbated muscle HO and highlights a potential therapeutic intervention for treatment of peripheral nerve injury‑induced muscle HO.