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Blood-biomarker-based tests are highly important for the early clinical diagnosis of Alzheimer's disease (AD) and the treatment and care of AD patients, but the complex serum environment and extremely low abundance of AD blood protein biomarkers present challenges. Nanomaterials are promising for constructing highly sensitive transistor-based biosensors due to their small size. However, such biosensors are difficult to fabricate on a large scale and suffer from the lack of combined optimization of reproducibility and sensitivity in complex physiological fluids. In this work, field-effect transistor (FET) biosensors based on highly uniform semiconducting carbon nanotube (CNT) thin films are mass produced to achieve highly sensitive and selective detection of the AD core blood biomarkers of β-amyloid (Aβ). The combination of the mass-produced CNT FET sensors and oligonucleotide aptamers as efficient bioreceptors enables reliable and reproducible sub-femtomolar detection in full human serum for Aβ

In this paper, we investigate is how critical theorists have carried out Marx’s critical ambition. We examine the meaning of Marx’s aspiration of critique, the approach of immanent critique, and the application of this approach in various realms. Our analysis is based on the literature review of the works of critical theorists who specialize in feminism, labor, neo-colonialism, and other areas. We find that Marx aspired to achieve human emancipation through a type of critique that works within the existing system, rejects predictions and dogmas, and has the potential to transform both the system and the norm. Alternatively, we find that critical theorists have used immanent critiques as the core approach to fulfill Marx’s critical ambition, and this approach has been used in various domains in society, including gender, economic, and intercultural relations. These findings shed light not only on the influence of Marx’s expectation of critique on the core approach of critical theory but also on the ways critical theorists fulfill Marx’s ambition. Our findings provide a theoretical ground for the transformative potential of the ongoing movements that attempt to overthrow certain unjust norms in society. Also, our findings affirm the political efficacy of the participants of these progressive social movements.

PurposeThis study develops a cross-level moderated mediating model based on expectation-value theory to extend the knowledge on how and when organizational culture motivates employee radical creativity.Design/methodology/approachBased on longitudinal, multisource data for 584 R&D employees in 73 organizations, the research hypotheses were tested by a multilevel analysis using hierarchical linear model.FindingsThe results showed that error management culture had a positive effect on employees' psychological safety and radical creativity; psychological safety mediated the effect of error management culture on employee radical creativity. Further, moderated path analysis revealed that employees' promotion focus moderated the positive effect of psychological safety on employee radical creativity and thus strengthened the indirect effect of error management culture on employee radical creativity via psychological safety.Originality/valueLiterature on how organizational culture motivates workplace creativity pays little attention to employees' radical creativity. This study fills this gap by empirically examining the role of error management culture as a critical organizational culture that secures employee radical creativity. It also provides a novel mechanism, i.e., an expectancy-value mechanism to explain the link between organizational context and radical creativity by elucidating the underlying psychological process whereby error management culture drives employee radical creativity and identifying the pivotal moderating role of employees' regulatory focus in the function of error management culture.

Postsurgical gastroparesis syndrome (PGS) is an early common complication after upper abdominal surgery, especially which occurs mainly after gastroduodenal operation. Acupuncture, a complementary and alternative therapy, has been widely used in China because of its significant effect and few side effects. We conduct a protocol for systematic review and meta-analysis to assess the efficacy and safety of acupuncture for the treatment of PGS.This systematic review was registered in the PROSPERO network (registration number: CRD42022369167). We will follow the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocol to accomplish the study. Following databases will be searched: PubMed, MEDLINE, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Wanfang data, Chinese Scientific Journals Database, and China biomedical literature database. All randomized controlled trials (RCTs) on the application of acupuncture in the treatment of patients with PGS will be included. The risk of bias of the included studies will be assessed using the Cochrane tool of risk of bias. All statistical analyses will be conducted using the STATA13.0 software.This study is ongoing and the results will be submitted to a peer-reviewed journal for publication.The conclusion of this review will provide evidence to judge whether acupuncture is an effective intervention for patient with PGS.

Epitaxial growth and controllable doping of wafer-scale atomically thin semiconductor single crystals are two central tasks to tackle the scaling challenge of transistors. Despite considerable efforts have been devoted, addressing such crucial issues simultaneously under two-dimensional (2D) confinement is yet to be realized. Here we design an ingenious epitaxial strategy to synthesize record-breaking 4-inch Fe-doped transition-metal dichalcogenides (TMDCs) single crystals on industry-compatible c-plane sapphire without miscut angle. Atomically thin transistors with the highest recorded electron mobility (~231 cm2 V−1 s−1) and remarkable on/off current ratio (~109) are fabricated based on 4-inch Fe-MoS2 single crystals, due to the ultralow contact resistance (~489 Ω µm) and subthreshold swing (~95 mV dec−1). In-depth characterizations and theoretical calculations reveal that the introduction of Fe significantly decreases the formation energy of parallel steps on sapphire surfaces and contributes to the edge-nucleation of unidirectional alignment TMDCs domains (>99%), as well as the modulation of band structures. This work represents a substantial leap in terms of bridging synthesis and doping of wafer-scale 2D semiconductor single crystals without the need for substrate miscut, which should promote the further device downscaling and extension of Moore’s law.

Sarcopenia is a progressive skeletal muscle disorder involving the loss of muscle mass and function, associated with an increased risk of disability and frailty. Though its prevalence in dementia has been studied, its occurrence in mild cognitive impairment (MCI) has not been well established. As MCI is often a prelude to dementia, our study aims to investigate the prevalence of MCI among individuals with sarcopenia and to also ascertain whether sarcopenia is independently associated with MCI. The Cochrane Library, PubMed, Ovid, Embase and Web of Science were systematically searched for articles on MCI and/or sarcopenia published from inception to 1 February 2022. We reviewed the available literature on the number of individuals with MCI and/or sarcopenia and calculated odds ratios (ORs) of sarcopenia in MCI and MCI in sarcopenia, respectively. Statistical analyses were performed using the meta package in Stata, Version 12.0. A total of 13 studies and 27 428 patients were included in our analysis. The pooled prevalence of MCI in participants with sarcopenia was 20.5% (95% confidence interval [CI]: 0.140-0.269) in a total sample of 2923 cases with a high level of heterogeneity (P 0.001; I

Background： Retroperitoneal schwannomas are rare. The purpose of this study was to present our experience with the diagnosis and treatment of 67 such tumors. Methods： Retrospective analysis of 67 patients with retroperitoneal schwannoma admitted to Peking University International Hospital from 2015 to 2021. Results： 67 patients presented with retroperitoneal schwannomas, 37 cases had no obvious clinical symptoms. 62 cases were completely excised, 5 cases were subtotal resection, 7 cases were combined with organ resection. The intraoperative blood loss was 300ml (20-9000ml), the tumor maximum size was 9cm (2.5-26cm), post-complication occurred in 6 cases (9.0%). Compared with abdominal retroperitoneal tumors, pelvic retroperitoneal tumors had larger tumor volume, more bleeding, higher proportion of block resection, and longer postoperative hospitalization time (P

Semiconducting carbon nanotubes (CNTs) based gas sensors have shown great promise owing to the high sensitivity, low cost and compatible to integrated circuits (ICs), but are not able to detect H2 with sub-10 ppb concentration, which is necessary to leakage monitoring in nuclear power plants. Here, we significantly enhance the limit-of-detection (LOD) and comprehensive performance of CNT based hydrogen sensors mainly through adopting a floating gate (FG) field-effect-transistor (FET) structure. The sensors are constructed by using high-purity semiconducting CNT network film as channel, Pd nanoparticles as H2-sensitive material, and Y2O3 dielectric layer between them as gate insulator. The introduction of Y2O3 film brings a co-optimization of sensitivity, selectivity and stability to CNT film gas sensors through the synergistic amplifying effect and protection effect. Specifically, the fabricated FG FET hydrogen sensors with the optimized Y2O3 thickness show a record LOD of 90 ppb at room temperature and even down to 5 ppb at ∼100 °C. Compared with conventional resistance-type sensors, the FG FET sensors exhibit more than one magnitude enhancement on response. Furthermore, the FG FET sensors exhibit excellent stability and well compatibility to CNT ICs, and are potential used as an excellent platform to develop smart sensors.

The aim of this study was to conduct a systematic review and meta-analysis of cohort studies that have examined the association between frailty and all-cause mortality in patients with HIV infection. We searched Embase, Medline through the Ovid interface, PubMed, Cochrane Library, and Web of Science to identify potential studies. Cohort studies of death outcomes in HIV patients under debilitating conditions were included and other ineligible or inadequate data were excluded. Data related to all-cause mortality in patients with HIV were extracted. The quality of the included studies was assessed using the Newcastle-Ottawa Scale for cohort studies. Hazard ratios (HRs) and their 95% confidence intervals (CIs) were pooled to estimate the association between frailty and all-cause mortality using Stata, version 12.0. We identified 845 unduplicated citations. Of these, six cohort studies were eligible for inclusion in the review after applying our inclusion and exclusion criteria. Pooled results demonstrated that patients with HIV experiencing frailty were at an increased risk of all-cause mortality (pooled HR = 2.69, 95% CI = 1.83-3.97

Zenghua Deng,1,2,* Mengmeng Xiao,3,4,* Dexiao Du,2 Nan Luo,1,2 Dongfang Liu,2 Tingting Liu,2 Dongbo Lian,1,2 Jirun Peng1,2 1Ninth School of Clinical Medicine, Peking University, Beijing, 100038, People’s Republic of China; 2Department of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People’s Republic of China; 3Peking University International Hospital, Beijing, 102206, People’s Republic of China; 4Eighth School of Clinical Medicine, Peking University, Beijing, 102206, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jirun Peng Tel +86-10-63926721Email pengjr@bjsjth.cnObjectives: Deoxyribonuclease 1 like 3 (DNASE1L3) is critically involved in apoptosis and immune response, however, its role in cancer has yet to be deciphered. We aimed to explore the prognostic value of DNASE1L3 across a series of malignancies.Methods: Based on Oncomine database and Tumor Immune Estimation Resource (TIMER), expression profiling of DNASE1L3 was detailed in malignancies. Using PrognoScan, Kaplan-Meier Plotter, GEPIA2, and bc-GenEcMiner v4.5, prognostic value of DNASE1L3 was estimated in diverse cancers. Based on TIMER, association between DNASEL13 expression and immune infiltration was examined in various cancers. Then, mRNA level of DNASE1L3 in hepatocellular carcinoma (HCC) samples (n=22) and stomach adenocarcinoma (STAD) samples (n=17) was measured with qRT-PCR. Immunohistochemistry was performed to confirm expression of DNASE1L3 in paraffin-embedded tissues of HCC (n=9) and lung adenocarcinoma (n=20).Results: DNASE1L3 was downregulated in multiple cancers, including breast invasive carcinoma (BRCA), cholangiocarcinoma (CHOL), liver hepatocellular carcinoma (LIHC), and lung adenocarcinoma (LUAD). A lower level of DNASE1L3 correlated with poorer prognosis in various cancers, especially in breast, liver, kidney, stomach, lung adenocarcinoma and sarcoma (SARC). Moreover, DNASE1L3 was positively related to immune cell infiltration in many cancers, including BRCA, LIHC, STAD, LUAD, and SARC. DNASE1L3 was significantly associated with CCR7/CCL19 in cancers. DNASE1L3 was downregulated in HCC and STAD tissues as demonstrated by qRT-PCR, as well as in HCC and LUAD samples, as shown by immunohistochemistry.Conclusion: DNASE1L3 has potential to serve as a prognostic biomarker in cancer of the breast, kidney, liver, stomach, lung adenocarcinoma and sarcoma. Down-regulation of DNASE1L3 may participate in immune escape via CCR7/CCL19 axis.Keywords: DNASE1L3, CCR7, CCL19, prognosis, immune infiltration, tumor

This study is focused on real-time topology detection (TD) problems in the power distribution system. The advent of distribution phasor measurement units offers additional opportunities to use deep learning methods for accurate TD of the distribution system. In this study, a new concept named the kernel-node-map is presented, and then a novel topology detection method, Kernel-Node-Map Deep Network (KNDN), for distribution system is developed. KNDN is based on a deep convolutional neural network and the kernel-node-map concept. This neural network is adaptive to the physical topology of the distribution system in the structure. The principle, training process, and application of KNDN are elaborated in detail. Testing results on the modified IEEE 33-bus and 123-bus distribution systems verify the effectiveness and robustness of the proposed KNDN methodology, and show its advantages compared with state-of-the-art methods.

Carbon nanotube (CNT) field-effect transistor (FET)-based biosensors have shown great potential for ultrasensitive biomarker detection, but challenges remain, which include unsatisfactory sensitivity, difficulty in stable functionalization, incompatibility with scalable fabrication, and nonuniform performance. Here, we describe ultrasensitive, label-free, and stable FET biosensors built on polymer-sorted high-purity semiconducting CNT films with wafer-scale fabrication and high uniformity. With a floating gate (FG) structure using an ultrathin Y2O3 high-κ dielectric layer, the CNT FET biosensors show amplified response and improved sensitivity compared with those sensors without Y2O3, which is attributed to the chemical gate-coupling effect dominating the sensor response. The CNT FG-FETs are modified to selectively detect specific disease biomarkers, namely, DNA sequences and microvesicles, with theoretical record detection limits as low as 60 aM and 6 particles/mL, respectively. Furthermore, the biosensors exhibit highly uniform performance over the 4 in. wafer as well as superior bias stress stability. The FG CNT FET biosensors could be extended as a universal biosensor platform for the ultrasensitive detection of multiple biological molecules and applied in highly integrated and multiplexed all CNT-FET-based sensor architectures.

Aligning dense carbon nanotube arrays Although semiconducting carbon nanotubes (CNTs) are promising candidates to replace silicon in transistors at extremely small dimensions, their purity, density, and alignment must be improved. Liu et al. combined a multiple dispersion sorting process, which improves purity, and a dimension-limited self-alignment process to produce well-aligned CNT arrays on a 10-centimeter silicon wafer. The density is sufficiently high (100 to 200 CNTs per micrometer) that large-scale integrated circuits could be fabricated. With ionic liquid gating, the performance metrics exceeded those of conventional silicon transistors with similar dimensions. Science , this issue p. 850

The classification and retrieval of 3D models have been widely used in the field of multimedia and computer vision. With the rapid development of computer graphics, different algorithms corresponding to different representations of 3D models have achieved the best performance. The advances in deep learning also encourage various deep models for 3D feature representation. For multi-view, point cloud, and PANORAMA-view, different models have shown significant performance on 3D shape classification. However, There’s not a way to consider utilizing the fusion information of multi-modal for 3D shape classification. In our opinion, We propose a novel multi-modal information fusion method for 3D shape classification, which can fully utilize the advantage of different modal to predict the label of class. More specifically, the proposed can effectively fuse more modal information. it is easy to utilize in other similar applications. We have evaluated our framework on the popular dataset ModelNet40 for the classification task on 3D shape. Series experimental results and comparisons with state-of-the-art methods demonstrate the validity of our approach.

Tumor-derived exosomal miRNAs may have important functions in the onset and progression of cancers and are potential biomarkers for early diagnosis and prognosis monitoring. Yet, simple, sensitive, and label-free detection of exosomal miRNAs remains challenging. Herein, an ultrasensitive, label-free, and stable field-effect transistor (FET) biosensor based on a polymer-sorted high-purity semiconducting carbon nanotube (CNT) film is reported to detect exosomal miRNA. Different from conventional CNT FETs, the CNT FET biosensors employed a floating gate structure using an ultrathin Y2O3 as an insulating layer, and assembled Au nanoparticles (AuNPs) on Y2O3 as linkers to anchor probe molecules. A thiolated oligonucleotide probe was immobilized on the AuNP surface of the sensing area, after which miRNA21 was detectable by monitoring the current change before and after hybridization between the immobilized DNA probe and target miRNA. This method achieved both high sensitivity (LOD: 0.87 aM) and high specificity. Furthermore, the FET biosensor was employed to test clinical plasma samples, showing significant differences between healthy people and breast cancer patients. The CNT FET biosensor shows the potential applications in the clinical diagnosis of breast cancer.

Handling the explosion of massive data not only requires significant improvements in information processing, storage and communication abilities of hardware but also demands higher security in the storage and communication of sensitive information. As a type of hardware-based security primitives, physically unclonable functions (PUFs) represent a promising emerging technology utilizing random imperfections existing in a physical entity, which cannot be predicted or cloned. However, if a PUF is exploited to carry out secure communication, the keys inside it must be written into non-volatile memory and then shared with other participants that do not hold the PUF, which makes the keys vulnerable. Here, we show that identical PUFs, e.g. twin PUFs can be fabricated on the same aligned carbon nanotube arrays and optimized to yield excellent uniformity, uniqueness, randomness, and reliability. The twin PUFs show a good consistency of approximately 95 % and are used to demonstrate secure communication with a bit error rate reduced to one trillion through a fault-tolerant design. As a result, our twin PUFs offering a convenient, low-cost and reliable new technology for guarantee information exchange security.

The investigation of real-time dynamic behavior evaluation in the active distribution networks (ADNs) is a challenging task, and it has great importance due to the emerging trend of distributed generations, electric vehicles, and flexible loads integration. The advent of new elements influences the dynamic behavior of the electric distribution networks and increases the assessment complexity. However, the proper implementation of low-cost phasor measurement units (PMUs) together with the development of power system applications offer tremendous benefits. Therefore, this paper proposes a PMU-based multi-dimensional dynamic index approach for real-time dynamic behavior evaluation of ADNs. The proposed evaluation model follows the assessment principles of accuracy, integrity, practicability, and adaptability. Additionally, we introduced low-cost PMUs in the assessment model and implemented them for real-time and high-precision monitoring of dynamic behaviors in the entire distribution network. Finally, a complete model called the real-time dynamic characteristics evaluation system is presented and applied to the ADN. It is pertinent to mention that our proposed evaluation methodology does not rely on the network topology or line parameters of the distribution network since only the phasor measurements of node voltage and line current are involved in the dynamic index system. Thus, the presented methodology is well adaptive to different operation states of ADN despite frequent topology changes. The validation of the proposed approach was verified by conducting simulations on the modified IEEE 123-node distribution network. The obtained results verify the effectiveness and relevance of the proposed model for the real-time dynamic behavior evaluation of ADNs.

Exosomes are small membrane-bound nanovesicles with a size of 50-150 nm which contain many functional biomolecules, such as nucleic acids and proteins. Due to their high homology with parental generation, they are of great significance in clinical diagnosis. At present, the quantitative detection of low concentrations of cancer-derived exosomes present in biofluids is still a great challenge. In this study, we develop an electrical and label-free method to directly detect exosomes with high sensitivity based on a reduced graphene oxide (RGO) field effect transistor (FET) biosensor. An RGO FET biosensor modified with specific antibody CD63 in the sensing area was fabricated and was used for electrical and label-free quantification of exosomes. The method achieved a low limit of detection down to 33 particles/μL, which is lower than that of many other available methods. In addition, the FET biosensor was employed to detect exosomes in clinical serum samples, showing significant differences in detecting healthy people and prostate cancer (PCa) patients. Different from other technologies, this study provides a unique technology capable of directly quantifying exosomes without labeling, indicating its potential as a tool for early diagnosis of cancer.

Field-effect transistor (FET) biosensors based on low-dimensional materials present the advantages of low cost, high speed, small size, and excellent compatibility with integrated circuits (ICs). In this work, we fabricated highly sensitive FET-based DNA biosensors based on chemical vapor deposition (CVD)-grown monolayer MoS2 films in batches and explored their application in noninvasive prenatal testing (NIPT) for trisomy 21 syndrome. Specifically, MoS2 was functionalized with gold nanoparticles (Au NPs) of an optimized size and at an ideal density, and then, probe DNAs for the specific capture of target DNAs were immobilized on the nanoparticles. The fabricated FET biosensors are able to reliably detect target DNA fragments (chromosome 21 or 13) with a detection limit below 100 aM, a high response up to 240%, and a high specificity, which satisfy the requirement for the screening of Down syndrome. In addition, a real-time test was conducted to show that the biosensor clearly responds to the target DNA a...

Unlike other extracellular vesicle (EV) subtypes such as exosomes, the lack of well-defined universal markers on the surface of microvesicles (MVs) has led to difficulty in the detection of the entire MV population. To design a universal MV detection method, we reported highly sensitive electrical detection of MVs using a reduced graphene oxide (RGO)-based field-effect transistor (FET) biosensor by the introduction of a membrane biotinylation strategy in this work. Biotinylated MVs (B-MVs) were obtained by supplying the culture medium with 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[biotinyl(polyethylene glycol)-2000] (DSPE-PEG-biotin) while cultivating the cells. Excellent biotinylation efficiency of MVs (92.6%) was then realized. A streptavidin (SA) probe was subsequently modified onto the channel surface of the as-fabricated RGO-based FET device, which was capable of specifically recognizing B-MVs due to the high affinity between SA and biotin in a 1 : 4 recognition format. The results showed that the RGO-based FET biosensor could detect B-MVs in a wide range from 105 particles per mL to 109 particles per mL with a low detection limit down to 20 particles per μL, which was the lowest value compared with other previously reported results. This platform also allowed distinguishing B-MVs from other unbiotinylated EV types such as MVs and exosomes, exhibiting excellent specificity. Moreover, this FET biosensor demonstrated the capability of detecting B-MVs derived from different cell lines including cancer cells and normal cells, indicating its versatility and potential applications in the biomedical field.