Electron-Induced Nonmonotonic Pressure Dependence of the Lattice Thermal Conductivity of θ-TaN.

Recent theoretical and experimental research suggests that θ-TaN is a semimetal with high thermal conductivity (κ), primarily due to the contribution of phonons (κ_{ph}). By using first-principles calculations, we show a nonmonotonic pressure dependence of the κ of θ-TaN. κ_{ph} first increases until it reaches a maximum at around 60 GPa, and then decreases. This anomalous behavior is a consequence of the competing pressure responses of phonon-phonon and phonon-electron interactions, in contrast to the known materials BAs and BP, where the nonmonotonic pressure dependence is caused by the interplay between different phonon-phonon scattering channels. Although TaN has phonon dispersion features similar to BAs at ambient pressure, its response to pressure is different and an overall stiffening of the phonon branches takes place. Consequently, the relevant phonon-phonon scattering weakens as pressure increases. However, the increased electronic density of states near the Fermi level, and specifically the emergence of additional pockets of the Fermi surface at the high-symmetry L point in the Brillouin zone, leads to a substantial increase in phonon-electron scattering at high pressures, driving a decrease in κ_{ph}. At intermediate pressures (∼20-70 GPa), the κ of TaN surpasses that of BAs. Our Letter provides deeper insight into phonon transport in semimetals and metals where phonon-electron scattering is relevant.

Multidimensional Cell-Free DNA Fragmentomic Assay for Detection of Early-Stage Lung Cancer.

Rationale: Cell-free DNA (cfDNA) analysis holds promise for early detection of lung cancer and benefits patients with higher survival. However, the detection sensitivity of previous cfDNA-based studies was still low to suffice for clinical use, especially for early-stage tumors. Objectives: Establish an accurate and affordable approach for early-stage lung cancer detection by integrating cfDNA fragmentomics and machine learning models. Methods: This study included 350 participants without cancer and 432 participants with cancer. The participants' plasma cfDNA samples were profiled by whole-genome sequencing. Multiple cfDNA features and machine learning models were compared in the training cohort to achieve an optimal model. Model performance was evaluated in three validation cohorts. Measurements and Main Results: A stacked ensemble model integrating five cfDNA features and five machine learning algorithms constructed in the training cohort (cancer: 113; healthy: 113) outperformed all the models built on individual feature-algorithm combinations. This integrated model yielded superior sensitivities of 91.4% at 95.7% specificity for cohort validation I (area under the curve [AUC], 0.984), 84.7% at 98.6% specificity for validation II (AUC, 0.987), and 92.5% at 94.2% specificity for additional validation (AUC, 0.974), respectively. The model's high performance remained consistent when sequencing depth was down to 0.5× (AUC, 0.966-0.971). Furthermore, our model is sensitive to identifying early pathological features (83.2% sensitivity for stage I, 85.0% sensitivity for <1 cm tumor at the 0.66 cutoff). Conclusions: We have established a stacked ensemble model using cfDNA fragmentomics features and achieved superior sensitivity for detecting early-stage lung cancer, which could promote early diagnosis and benefit more patients.

Relative Motion Estimation Algorithm for Noncooperative Targets Considering Multiple Solutions of Rotational Parameters.

On-orbit servicing using a space robot is gaining popularity among the space community for both economic and safety aspects. In particular, the estimation of the relative motion of a noncooperative target is a challenging problem. This study presents a relative motion estimation scheme based on stereovision for noncooperative targets considering multiple solutions of rotational parameters. Specifically, the mass distribution of the target is identified based on the least-square method and the principle of conservation of angular momentum. Then, the determination of a unique principal axis coordinate frame of the target is employed to resolve the multiple-solution problem. In addition, an EKF (extended Kalman filter)-based filter with global observability is designed to estimate the full motion states and inertia parameters of the target. The convergence performance of the proposed method is verified by numerical simulation. The results also demonstrate that the method is robust to occlusion.

Expression and significance of miR-34 with PI3K, AKT and mTOR proteins in colorectal adenocarcinoma tissues.

This research was carried out to investigate the expression of miR-34a, miR-34b and p-PI3K, p-AKT, and mTOR proteins in colorectal adenocarcinoma and corresponding distal cutaneous normal mucosal tissues and their relationship with the clinicopathological parameters of colorectal adenocarcinoma as well as the correlation between miR-34a, miR-34b and PI3K/AKT/mTOR signaling pathway. The expression of p-PI3K, p-AKT, and mTOR proteins in 67 colorectal adenocarcinomas and the corresponding distal cut-off normal mucosa were assayed by immunohistochemistry. Their relationship with clinicopathological parameters and the correlation of the three proteins were evaluated. The expression of miR-34a and miR-34b in colorectal adenocarcinoma and the corresponding distal cutaneous normal mucosa was detected by applying real-time quantitative PCR. The correlation between colorectal adenocarcinoma tissue miR-34a, miR-34b and p-PI3K, p-AKT, and mTOR proteins, respectively, was analyzed. Results showed that the expression of p-PI3K, p-AKT and mTOR proteins in colorectal adenocarcinoma tissues was higher than that in the corresponding distal cutaneous normal mucosa (P=0.000), and there was a positive correlation between the expression of the three proteins in colorectal adenocarcinoma tissues. The expression of p-PI3K and p-AKT protein in colorectal adenocarcinoma tissues were correlated with tumor size, differentiation degree, infiltration degree, lymph node metastasis and TNM stage (P<0.05). The expression of mTOR protein was related to tumor size and differentiation degree (P<0.05). The relative expression of miR-34a and miR-34b in colorectal adenocarcinoma tissues was less than that in the corresponding distal cutaneous normal mucosa (P<0.05), and the expression of miR-34a and miR-34b was positively correlated. The expression of miR-34a and miR-34b in colorectal adenocarcinoma tissues was negatively correlated with the expression of p-PI3K, p-AKT and mTOR proteins. In conclusion, the PI3K/AKT/mTOR signaling pathway may promote colorectal adenocarcinoma and differentially participate in differentiation, infiltration and lymph node metastasis. Also, miR-34a and miR-34b may inhibit colorectal adenocarcinoma. Importantly, miR-34a and miR-34b may affect the development and progression of colorectal adenocarcinoma by regulating PI3K/AKT/mTOR signaling pathway.

Metabolic network-based identification of plasma markers for non-small cell lung cancer.

Metabolic markers, offering sensitive information on biological dysfunction, play important roles in diagnosing and treating cancers. However, the discovery of effective markers is limited by the lack of well-established metabolite selection approaches. Here, we propose a network-based strategy to uncover the metabolic markers with potential clinical availability for non-small cell lung cancer (NSCLC). First, an integrated mass spectrometry-based untargeted metabolomics was used to profile the plasma samples from 43 NSCLC patients and 43 healthy controls. We found that a series of 39 metabolites were altered significantly. Relying on the human metabolic network assembled from Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we mapped these differential metabolites to the network and constructed an NSCLC-related disease module containing 23 putative metabolic markers. By measuring the PageRank centrality of molecules in this module, we computationally evaluated the network-based importance of the 23 metabolites and demonstrated that the metabolism pathways of aromatic amino acids and long-chain fatty acids provided potential molecular targets of NSCLC (i.e., IL4l1 and ACOT2). Combining network-based ranking and support-vector machine modeling, we further found a panel of eight metabolites (i.e., pyruvate, tryptophan, and palmitic acid) that showed a high capability to differentiate patients from controls (accuracy > 97.7%). In summary, we present a meaningful network method for metabolic marker discovery and have identified eight strong candidate metabolites for NSCLC diagnosis.

Light-Driven Nanodroplet Generation Using Porous Membranes.

A simple, fast, and contactless alternative for the generation of nanodroplets in solution is to apply light to stimulate their formation at a surface. In this work, a light-driven mechanism for the generation of nanodroplets is demonstrated by using a porous membrane. The membrane is placed at the interface between oil and water during the nanodroplet generation process. As light illuminates the membrane a photothermal conversion process induces the growth and release of water vapor bubbles into the aqueous phase. This release leads to the fluctuation of local pressure around the pores and enables the generation of oil nanodroplets. A computational simulation of the fluid dynamics provides insight into the underlying mechanism and the extent to which it is possible to increase nanodroplet concentrations. The ability to form nanodroplets in solutions without the need for mechanical moving parts is significant for the diverse biomedical and chemical applications of these materials.

Modifiers versus Channels: Creating Shape-Selective Catalysis of Metal Nanoparticles/Porous Nanomaterials.

Shape-selective catalysis plays a key role in chemical synthesis. Porous nanomaterials with uniform pore structures are ideal supports for metal nanoparticles (MNPs) to generate efficient shape-selective catalysis. However, many commercial irregular porous nanomaterials face the challenge to realize satisfactory shape selectivity due to the lack of molecular sieving structures. Herein, we report a concept of creating shape selectivity in MNPs/porous nanomaterials through intentionally poisoning certain MNPs using suitable modifiers. The remaining MNPs within the substrates can cooperate with the channels to generate selectivity. Such a strategy not only applies to regular porous nanomaterials (such as MOFs, zeolites) but also extended to irregular porous nanomaterials (such as active carbon, P25). Potentially, the matching among different MNPs, corresponding modifiers, and porous nanomaterials makes our strategy promising in selective catalytic systems.

Carbonized polyaniline bridging nanodiamond-graphene hybrids for enhanced microwave absorptions with ultrathin thickness.

For conventional design of the electromagnetic absorption materials, introduction of magnetic materials into dielectric materials has been found to achieve better impedance matching, but lead to increase in weight and decrease in chemical stability, therefore limiting their practical applications. In this work, metal-free electromagnetic coupling was achieved by the design of nitrogen-doped nanodiamond/graphene hybrids. Polyaniline is used to self-assembled bridge the nanodiamond and graphene, and the carbonization is carried out for construction and regulation of the C•••N polarization and nitrogen doping. The carbonized hybrid exhibits remarkably enhanced broadband electromagnetic absorption with the optimal reflection loss value around -47.7 dB at 13.8 GHz with an ultrathin thickness of 1.8 mm. The enhancement in electromagnetic absorption is confirmed to result from nitrogen doped ND induced magnetic dissipation and the C•••N multi-polarization modes, as well as the multiple interfacial structures. This work opens a new route realizing lightweight electromagnetic absorption through constructing nitrogen doped carbon nanomaterial.

Crystal-Growth-Dominated Fabrication of Metal-Organic Frameworks with Orderly Distributed Hierarchical Porosity.

Constructing architectures with hierarchical porosity has been widely considered as the most efficient way to bypass the problems related to slow mass transfer and inaccessibility of internal space in MOFs. Now, a crystal-growth-dominated strategy is proposed to fabricate hierarchically porous MOFs (HP-MOFs). When the crystal growth is dominated by the monomer attachment, the aggregation of nonionic surfactant or polymer can be easily captured and released during the crystal growth process, resulting in the formation and ordering hierarchical pores along the radial direction. Owing to the accelerated mass diffusion and more exposed active sites of this design, HP-MOFs exhibited an enhanced catalytic efficiency in styrene oxidation.

Bubble-Enabled Underwater Motion of a Light-Driven Motor.

This work reports the photothermally driven horizontal motion of a motor as well as the suspending and vertical movements underwater. A motor is designed by attaching two polydimethylsiloxane-coated oxidized copper foams (POCF) to the two opposite sides of an oxidized copper foam (OCF). When the hydrophobic POCF is immersed in water, it serves as both an air bubble trapper and a light-to-heat conversion center. As bubbles grow under photothermal heating, they provide lifting force and result in the revolving motion of the motor. With removal of light illumination, bubbles are cooled by the surrounding water and shrink, and the buoyance is lowered. The resultant force of gravitational force, buoyance, and fluid resistance drives the motor to move forward horizontally. Furthermore, the motors are utilized as oil collectors and oil/water separation is achieved successfully. To effectively control the suspending motion, a polydimethylsiloxane foam doped with carbon black (C-foam) is designed under the photothermal principle. It is maintained at a certain position underwater by controlling the on/off of light. The vertical motion is also studied and utilized to generate electricity. It is expected that different types of underwater motion will open up new opportunities for various applications including drug delivery, collection of heavy oil underwater, and electricity generation.

Assessment of nutrient removal and microbial population dynamics in a non-aerated vertical baffled flow constructed wetland for contaminated water treatment with composite biochar addition.

A novel composite biochar (NCB) was produced from the pyrolysis of co-fermentation products of sewage sludge, food wastes and rice straw, and exhibited higher nitrogen and phosphorus adsorption capacity due to the larger surface area (14.7 m2 g-1) and higher Ca content (51753.7 mg kg-1) than single rice straw biochar. The addition of NCB was then investigated in a non-aerated vertical baffled flow constructed wetland (VBFCW) for contaminated water treatment. The VBFCW with NCB addition significantly improved CODMn, NH4+-N, TN and TP removal efficiencies of 83.3 ±â€¯5.3%, 95.9 ±â€¯3.4%, 28.0 ±â€¯4.0% and 59.5 ±â€¯11.8%, respectively, at a hydraulic retention time (HRT) of 3 d. In addition, the TN and TP removal rates at a decreased HRT of 2 d were much higher than those at an HRT of 3 d without NCB addition. The presence of NCB in the VBFCW system enhanced nutrient adsorption and improved the enrichment of bacteria for organic and nitrogen removal mainly including the genera Bacillus and Lactococcus.

Vapor-Enabled Propulsion for Plasmonic Photothermal Motor at the Liquid/Air Interface.

This paper explores a new propulsion mechanism that is based on the ejection of hot vapor jet to propel the motor at the liquid/air interface. For conventional photothermal motors, which mostly are driven by Marangoni effect, it is challenging to propel those motors at the surfaces of liquids with low surface tension due to the reduced Marangoni effect. With this new vapor-enabled propulsion mechanism, the motors can move rapidly at the liquid/air interface of liquids with a broad range of surface tensions. A design that can accumulate the hot vapor is further demonstrated to enhance both the propulsion force as well as the applicable range of liquids for such motors. This new propulsion mechanism will help open up new opportunities for the photothermal motors with desired motion controls at a wide range of liquid/air interfaces where hot vapor can be generated.

Encapsulation of an f-block metal atom/ion to enhance the stability of C20 with the I(h) symmetry.

Based on the density functional theory, the geometric and electronic structures, chemical stability, and bonding properties of the endohedral metallofullerenes, M@C20 (M = Eu(3-), Am(3-), Gd(2-), Cm(2-), Tb(-), Bk(-), Dy, Cf, Ho(+), Es(+), Er(2+), Fm(2+), Tm(3+), Md(3+), Yb(4+), No(4+), Lu(5+), and Lr(5+)), were investigated. Through encapsulation of an f-block metal atom/ion with 12 valence electrons, the bare C20 cage with the D2h point group could be stabilized to a highly symmetrical Ih structure. The calculated values of HOMO-LUMO energy gaps using the B3lYP and BHHLYP functionals ranged from 2.22 to 5.39 eV and from 3.89 to 7.95 eV, respectively. The stability of these metal-encapsulated clusters can be attributed to the 32-electron rule, where the central metal atom's orbitals strongly participated in the t2u, gu, t1u, hg, and ag valence molecular orbitals.

[Treatment of stage 3b diabetic kidney disease patients with macroalbuminuria by qizhi jiangtang capsule: a multicenter randomized control clinical study].

OBJECTIVE: To observe the efficacy and safety of Qizhi Jiangtang Capsule (QJC) in treating stage 3b diabetic kidney disease (DKD) patients with macroalbuminuria. METHODS: Patients who conformed to the diagnostic criteria of stage 3b DKD were randomly assigned to two groups according to random digital table, the experiment group and the control group, 84 in each group. All patients received a two-week elution period, and then were treated with basic Western therapy. Patients in the experiment group took QJC, 5 pills per time, 3 times a day, while those in the control group took Valsartan Capsule 160 mg each time, once daily. The observation period of follow-ups was limited within 6 months, and the time points were set as the baseline, 1st month, 3rd month, and 6th month. Systolic blood pressure (SBP), diastolic blood pressure (DBS), 24 h urine protein quantitative (24 h UPQ), plasma albumin (ALB), and serum creatinine (SCr) were detected and recorded, and estimated glomerular filtration rate (eGFR) was calculated. The occurrence of hypoglycemic reaction, coagulation disorder, gastrointestinal tract reaction, allergy, hyperkalemia, doubling of creatinine, and overall adverse events were observed and recorded at same time. RESULTS: Finally 81 patients in the experiment group and 80 patients in the control group were effectively included. Compared with the baseline level, SBP and DBS obviously decreased in the control group at month 1 of treatment (P < 0.05), and more significantly decreased at month 6 of treatment (P < 0.01). SBP at month 1, 3, and 6 of follow-ups; DBS at month 6 of follow-ups was lower in the control group than in the experiment group (P < 0.05). At month 1, 3, and 6 of follow-ups, 24 h UPQ of the experiment group was significantly lower than the baseline level (P < 0.01). It was also significantly lower than the level of the control group at the same time point (P < 0.05). There was no significant difference in 24 h UPQ at month 1, 3, and 6 of follow-ups between the control group and the baseline level (P > 0.05). ALB of the experiment group showed an increasing trend. It was significantly higher than the baseline level at month 6 (P < 0.05), which was also higher than that of the control group at same period (P < 0.05). There was no significant difference in the ALB level in the control group (P > 0.05). SCr of two groups showed an increasing trend. SCr of the experiment group was significantly higher at month 1, 3, and 6 follow-ups than the baseline level (P < 0.05). But the increment of SCr was higher in the control group than in the experimental group, and obviously higher than the baseline levels (P < 0.05). eGFR of both groups showed a decreasing trend. The decrement was higher in the control group than in the experimental group (P < 0.05). The proportion of progression of renal functions at month 1, 3, and 6 of follow-ups in the experimental group was 0.0% (0 case), 9.55% (8 cases), and 21.4% (18 cases), while they were 8.3% (7 cases), 21.4% (18 cases), and 40.5% (34 cases) in the control group. There was no statistical difference in the proportion of progression of renal functions between the two groups at month 3 and 6 of follow-ups (P < 0.05). There was no statistical difference in the incidence of adverse reactions between two groups (P > 0.05). CONCLUSION: QJC could effectively reduce urinary protein of patients with stage 3b DKD, and delay the progression of renal functions.

Synthesis of Pd/Carbon Hollow Spheres by the Microwave Discharge Method for Catalytic Debenzylation.

Pd/C catalysts have been widely applied in the debenzylation process due to their excellent ability of hydrogenolysis. However, they have been suffering from the problems of agglomeration and loss of active components, which lead to decreased and unstable activity. Thus, it is still a challenge to achieve Pd/C catalysts with high activity and stability. Herein, we propose a strategy for preparing Pd/C catalysts on porous carbon hollow spheres by a microwave discharge method. Due to the high-temperature property and reducibility of microwave discharge, Pd precursors can be rapidly reduced, resulting in well-dispersed Pd nanoparticles with a small size on the carbon carrier. Besides, the matched mesopores in the carbon hollow spheres can anchor Pd nanoparticles and effectively reduce the agglomeration and loss of Pd nanoparticles during the catalytic reaction. As a result, the as-prepared Pd/mesoporous carbon hollow spheres exhibit high and stable activity in the debenzylation reaction.

Cell-free DNA assay for malignancy classification of high-risk lung nodules.

OBJECTIVE: Although low-dose computed tomography has been proven effective to reduce lung cancer-specific mortality, a considerable proportion of surgically resected high-risk lung nodules were still confirmed pathologically benign. There is an unmet need of a novel method for malignancy classification in lung nodules. METHODS: We recruited 307 patients with high-risk lung nodules who underwent curative surgery, and 247 and 60 cases were pathologically confirmed malignant and benign lung lesions, respectively. Plasma samples from each patient were collected before surgery and performed low-depth (5×) whole-genome sequencing. We extracted cell-free DNA characteristics and determined radiomic features. We built models to classify the malignancy using our data and further validated models with 2 independent lung nodule cohorts. RESULTS: Our models using one type of profile were able to distinguish lung cancer and benign lung nodules at an area under the curve metrics of 0.69 to 0.91 in the study cohort. Integrating all the 5 base models using cell-free DNA profiles, the cell-free DNA-based ensemble model achieved an area under the curve of 0.95 (95% CI, 0.92-0.97) in the study cohort and 0.98 (95% CI, 0.96-1.00) in the validation cohort. At a specificity of 95.0%, the sensitivity reached 80.0% in the study cohort. With the same threshold, the specificity and sensitivity had similar performances in both validation cohorts. Furthermore, the performance of area under the curve reached 0.97 in both the study and validation cohorts when considering the radiomic profile. CONCLUSIONS: The cell-free DNA profiles-based method is an efficient noninvasive tool to distinguish malignancies and high-risk but pathologically benign lung nodules.

[Mutational Signatures Analysis of Micropapillary Components and Exploration of ZNF469 Gene in Early-stage Lung Adenocarcinoma with Ground-glass Opacities].

BACKGROUND: In China, lung cancer remains the cancer with the highest incidence and mortality rate. Among early-stage lung adenocarcinomas (LUAD), the micropapillary (MPP) component is prevalent and typically exhibits high aggressiveness, significantly correlating with early metastasis, lymphatic infiltration, and reduced five-year survival rates. Therefore, the study is to explore the similarities and differences between MPP and non-micropapillary (non-MPP) components in malignant pulmonary nodules characterized by GGOs in early-stage LUAD, identify unique mutational features of the MPP component and analyze the relationship between the ZNF469 gene, a member of the zinc-finger protein family, and the prognosis of early-stage LUAD, as well as its correlation with immune infiltration. METHODS: A total of 31 malignant pulmonary nodules of LUAD were collected and dissected into paired MPP and non-MPP components using microdissection. Whole-exome sequencing (WES) was performed on the components of early-stage malignant pulmonary nodules. Mutational signatures analysis was conducted using R packages such as maftools, Nonnegative Matrix Factorization (NMF), and Sigminer to unveil the genomic mutational characteristics unique to MPP components in invasive LUAD compared to other tumor tissues. Furthermore, we explored the expression of the ZNF469 gene in LUAD using The Cancer Genome Atlas (TCGA) database to investigate its potential association with the prognosis. We also investigated gene interaction networks and signaling pathways related to ZNF469 in LUAD using the GeneMANIA database and conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Lastly, we analyzed the correlation between ZNF469 gene expression and levels of immune cell infiltration in LUAD using the TIMER and TISIDB databases. RESULTS: MPP components exhibited a higher number of genomic variations, particularly the 13th COSMIC (Catalogue of Somatic Mutations in Cancer) mutational signature characterized by the activity of the cytidine deaminase APOBEC family, which was unique to MPP components compared to non-MPP components in tumor tissues. This suggests the potential involvement of APOBEC in the progression of MPP components in early-stage LUAD. Additionally, MPP samples with high similarity to APOBEC signature displayed a higher tumor mutational burden (TMB), indicating that these patients may be more likely to benefit from immunotherapy. The expression of ZNF469 was significantly upregulated in LUAD compared to normal tissue, and was associated with poor prognosis in LUAD patients (P<0.05). Gene interaction network analysis and GO/KEGG enrichment analysis revealed that COL6A1, COL1A1, COL1A2, TGFB2, MMP2, COL8A2 and C2CD4C interacted with ZNF469 and were mainly involved in encoding collagen proteins and participating in the constitution of extracellular matrix. ZNF469 expression was positively correlated with immune cell infiltration in LUAD (P<0.05). CONCLUSIONS: The study has unveiled distinctive mutational signatures in the MPP components of early-stage invasive LUAD in the Asian population. Furthermore, we have identified that the elevated expression of mutated ZNF469 impacts the prognosis and immune infiltration in LUAD, suggesting its potential as a diagnostic and prognostic biomarker in LUAD.

21st anniversary of job embeddedness: A retrospection and future research agenda.

BACKGROUND: Since the previous decade, researchers and academics have paid close attention to studying job embeddedness (JE), but the bibliometric examination of JE has not yet been explored. OBJECTIVE: This study aims to provide general information on the trends of the studies on JE as well as an overall perspective on the development of this topic by utilising a bibliometric analytic approach. METHOD: A bibliometric evaluation was conducted in the JE field since the first publication was documented in the Scopus database. The information retrieved examines 1572 JE papers from a variety of perspectives, including citation and publishing metrics. RESULTS: The research results pinpoint the most productive countries, universities, journals, authors, and JE articles. The study also classified the most important themes and offered some recommendations for further research. CONCLUSION: The study provided a snapshot of JE patterns and trajectories from 1993 to 2020, which can help academics and practitioners figure out the pattern and direction of future research. To the best of our knowledge, no other study examines the bibliographic data on JE and thus this work is one of the first contributions to the literature.

Integrating the Interpersonal Theory of Suicide Into the Relations Between Cyber-Victimization and Suicidality Among Adolescents: A Short-Term Prospective Study.

The relation between cyber-victimization and suicidality among adolescents has been well documented; however, the mechanisms underlying this association have not been well investigated. Drawing upon the interpersonal theory of suicide, this study aimed to examine the mediating mechanisms (i.e., thwarted belongingness and perceived burdensomeness) underlying longitudinal, bidirectional relations between cyber-victimization and suicidal ideation/attempts among adolescents and explore gender differences in the mechanisms. Participants were 497 Chinese adolescents (46.1% male; Mage = 13.28, SD = .66), who completed the assessment of cyber-victimization, thwarted belongingness, and perceived burdensomeness, suicidal ideation/attempts at three-time points. The time interval between each two assessments is two weeks. Results showed the reciprocal relations between cyber-victimization and thwarted belongingness/perceived burdensomeness, between thwarted belongingness and suicidal ideation/suicide attempts, and between perceived burdensomeness and suicide attempts. Longitudinal mediation analyses indicated that Time 2 thwarted belongingness mediated the relation between Time 1 cyber-victimization and Time 3 suicidal ideation/suicide attempts. Besides, the reverse pathway from Time 1 suicidal ideation to Time 3 cyber-victimization was also mediated by Time 2 thwarted belongingness, but it was only significant in females, as suggested by multiple-group analyses. According to the aforementioned results, the interpersonal theory of suicide provides a useful framework for understanding relations between cyber-victimization and suicidality. Findings suggest that intervention targeted at improving the need to belong may help reduce suicide risk and lower cyber-victimization. Anti-cyber-victimization should be integrated into suicide intervention and prevention programs, and gender differences should be taken into account in order to enhance the program's effectiveness.

Enhanced Detection of Landmark Minimal Residual Disease in Lung Cancer Using Cell-free DNA Fragmentomics.

Currently, approximately 30%-55% of the patients with non-small cell lung cancer (NSCLC) develop recurrence due to minimal residual disease (MRD) after receiving surgical resection of the tumor. This study aims to develop an ultrasensitive and affordable fragmentomic assay for MRD detection in patients with NSCLC. A total of 87 patients with NSCLC, who received curative surgical resections (23 patients relapsed during follow-up), enrolled in this study. A total of 163 plasma samples, collected at 7 days and 6 months postsurgical, were used for both whole-genome sequencing (WGS) and targeted sequencing. WGS-based cell-free DNA (cfDNA) fragment profile was used to fit regularized Cox regression models, and leave-one-out cross-validation was further used to evaluate models' performance. The models showed excellent performances in detecting patients with a high risk of recurrence. At 7 days postsurgical, the high-risk patients detected by our model showed an increased risk of 4.6 times, while the risk increased to 8.3 times at 6 months postsurgical. These fragmentomics determined higher risk compared with the targeted sequencing-based circulating mutations both at 7 days and 6 months postsurgical. The overall sensitivity for detecting patients with recurrence reached 78.3% while using both fragmentomics and mutation results from 7 days and 6 months postsurgical, which increased from the 43.5% sensitivity by using only the circulating mutations. The fragmentomics showed great sensitivity in predicting patient recurrence compared with the traditional circulating mutation, especially after the surgery for early-stage NSCLC, therefore exhibiting great potential to guide adjuvant therapeutics. Significance: The circulating tumor DNA mutation-based approach shows limited performance in MRD detection, especially for landmark MRD detection at an early-stage cancer after surgery. Here, we describe a cfDNA fragmentomics-based method in MRD detection of resectable NSCLC using WGS, and the cfDNA fragmentomics showed a great sensitivity in predicting prognosis.