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Objective To compare the clinical efficacy between robot‐assisted minimally invasive transforaminal lumbar interbody fusion (robot‐assisted MIS‐TLIF) and traditional open TLIF surgery in the treatment of lumbar spondylolisthesis. Methods According to the inclusion and exclusion criteria, 48 cases with lumbar spondylolisthesis who received surgical treatment from June 2016 to December 2017 in the spinal surgery department of Beijing Jishuitan Hospital were analyzed in this study, including 23 patients who received robot‐assisted MIS‐TLIF and 25 patients who received traditional open TLIF surgery. The two groups were compared in terms of pedicle screw accuracy evaluated by Gertzbein‐Robbins classification on postoperative computed tomography (CT), operation time, blood loss, postoperative drainage, hospitalization, time to independent ambulation, low back pain evaluated by visual analog scale (VAS), lumbar function evaluated by Oswestry Disability Index (ODI), paraspinal muscles atrophy on magnetic resonance imaging (MRI), and complications. Results Postoperative CT showed that the rate of Grade A screws in the robot‐assisted MIS‐TLIF group was significantly more than that in the open surgery group (χ 2 = 4.698, P = 0.025). Compared with the open surgery group, the robot‐assisted MIS‐TLIF group had significantly less intraoperative blood loss, less postoperative drainage, shorter hospitalization, shorter time to independent ambulation, and lower VAS at 3 days post‐operation (P, Compared to the open surgery group, the robot‐assisted MIS‐TLIF group had achieved a better clinical result of significantly more precise pedicle screw placement, less intraoperative blood loss, less postoperative drainage, shorter hospitalization, shorter time to independent ambulation, lower VAS at 3 days post‐operation, and less paraspinal muscle atrophy.

BACKGROUND: According to the global cancer burden data released in 2020, breast cancer (BC) has become the most common cancer in the world. Similar to those of other cancers, the present methods used in clinic for diagnosing early BC are invasive, inaccurate, and insensitive. Hence, new non-invasive methods capable of early diagnosis are needed. METHODS: We applied next-generation sequencing and analyzed the messenger RNA (mRNA) profiles of plasma extracellular vesicles (EVs) derived from 14 BC patients and 6 patients with benign breast lesions. We used 3 regression models, namely support vector machine (SVM), linear discriminate analysis (LDA), and logistic regression (LR), to develop classifiers for use in making predictive BC diagnoses; and used 259 plasma samples, including those obtained from 144 patients with BC, 72 patients with benign breast lesions, and 43 healthy women, which were divided into training groups and validation groups to verify their performances as classifiers by quantitative reverse transcription polymerase chain reaction (RT-qPCR). The area under the curve (AUC) and accuracy, sensitivity, and specificity of the classifiers were cross-validated with the leave-1-out cross-validation (LOOCV) method. RESULTS: Among all combinations assessed with the 3 different regression models, an 8-mRNA combination, named EXOB(mRNA), exhibited high performance [accuracy =71.9% and AUC =0.718, 95% confidence interval (CI): 0.652 to 0.784] in the training cohort after LOOCV was performed, showing the largest AUC in the SVM model. The mRNAs in EXOB(mRNA) were HLA-DRB1, HAVCR1, ENPEP, TIMP1, CD36, MARCKS, DAB2, and CXCL14. In the validation cohort, the AUC of EXOB(mRNA) was 0.737 (95% CI: 0.636 to 0.837). In addition, gene function and pathway analyses revealed that different levels of gene expression were associated with cancer. CONCLUSIONS: We developed a high-performing predictive classifiers including 8 mRNAs from plasma extracellular vesicles for diagnosing breast cancer.

This work aimed to analyze the value of serum platelet/lymphocyte ratio (PLR), carbohydrate antigen 125 (CA125), and diffusion-weighted imaging (DWI) in the diagnosis of recurrent ovarian cancer.Forty-three patients with suspected recurrence of ovarian cancer were deemed as research objects, and 5 healthy people were set as controls. PLR, DWI, and CA125 level before surgery were analyzed. Pearson correlation analysis was implemented to explore the correlation between CA125 and lymphocyte count, platelet count, and PLR. Neuropathic Pain Scale was adopted to analyze the analgesic effect of patients with recurrent ovarian cancer before treatment and 7 days after treatment. Moreover, the quality of life scores of patients with recurrent ovarian cancer were evaluated before treatment and 30 days after treatment.The platelet and PLR values of patients with recurrent ovarian cancer were significantly higher relative to healthy people (P0.001), while the lymphocyte count was relatively lower (P = 0.002). There were considerable differences in PLR and CA125 levels in patients with recurrent ovarian cancer before and after treatment (P0.001). The single detection of CA125 was significantly better than that of DWI and PLR (P = 0.034). The sensitivity and specificity of CA125 detection alone was 77.3% and 81.8%, respectively, while those of the joint detection of DWI + PLR + CA125 was 92.4% and 79.9%, respectively. PLR was proved to be positively correlated with CA125 before and after treatment (r = 0.687, P0.001). Pain scores in all aspects of patients with recurrence of ovarian cancer after treatment were lower than that before treatment (P0.001), and the quality of life score was significantly higher than that before treatment (P0.001).CA125 and PLR combined with DWI had the best diagnostic effect for patients with recurrent ovarian cancer. After treatment, the levels of PLR and CA125 were reduced and the quality of life of patients was improved.

Background and objectives Migraine has been associated with many comorbidities. However, lifestyle factors and the presence of comorbid diseases have not previously been extensively studied in the same sample. This study aimed to compare the prevalence of unhealthy lifestyle factors and comorbid diseases between patients with migraine and migraine-free controls with subgroup analyses to determine the pathophysiology and possible consequences. Methods This cross-sectional study recruited 1257 patients with migraine between the ages of 20 and 65 years from a headache outpatient clinic in Taiwan and 496 non-migraine controls. All participants completed questionnaires regarding demographics, migraine diagnosis, sleep, headache burden, and medical, pain, and psychiatric conditions. Participants also underwent a structured interview. The associations between comorbidities and migraine were investigated and further stratified by sex and aura. Results Patients with migraine with aura had an unhealthier lifestyle compared with controls in the form of current smoking status (15.5% [67/431] vs. 11.5% [57/496], p = 0.013). Furthermore, medical- (e.g., thyroid disease; 7.2% [91/1257 vs. 2.8% [14/496]; p = 0.006), psychiatric- (e.g., depression; 6% [76/1257 vs. 2.6% [13/496]; p = 0.031), and pain-related (e.g., fibromyalgia; 8% [101/1257 vs. 3.2% [16/496]; p = 0.006) comorbidities were more prevalent in patients compared with controls. Subgroup analyses revealed that chronic migraine, migraine with aura, and female sex were associated with a greater number of significant comorbidities than episodic migraine, migraine without aura, and male patients with migraine, respectively. Conclusion Individuals seeking treatment for migraine reported greater levels of smoking and medical, psychiatric, and pain conditions than non-treatment-seeking healthy controls who were recruited from the community. Understanding the relationship between migraine and comorbid diseases may improve medical care as well as the quality of life.

Background. Anterior thalamic nuclei (ATN) deep brain stimulation (DBS) is an effective method of controlling epilepsy, especially temporal lobe epilepsy. Mossy fiber sprouting (MFS) plays an indispensable role in the pathogenesis and progression of epilepsy, but the effect of ATN-DBS on MFS in the chronic stage of epilepsy and the potential underlying mechanisms are unknown. This study aimed to investigate the effect of ATN-DBS on MFS, as well as potential signaling pathways by a kainic acid (KA)-induced epileptic model. Methods. Twenty-four rhesus monkeys were randomly assigned to control, epilepsy (EP), EP-sham-DBS, and EP-DBS groups. KA was injected to establish the chronic epileptic model. The left ATN was implanted with a DBS lead and stimulated for 8 weeks. Enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining were used to evaluate MFS and levels of potential molecular mediators in the hippocampus. One-way analysis of variance, followed by the Tukey post hoc correction, was used to analyze the statistical significance of differences among multiple groups. Results. ATN-DBS is found to significantly reduce seizure frequency in the chronic stage of epilepsy. The number of ectopic granule cells was reduced in monkeys that received ATN stimulation (P

This article presents the 38-GHz phased array 32-element Tx and 16-element Rx with 2-GHz IF and 5-GHz LO for fifth-generation (5G) millimeter-wave (MMW) communications. The Tx and Rx beamformers and upconverters/downconverters are fabricated in 65-nm CMOS. The PAs and LNAs near antenna ends are fabricated in 0.15- $\mu \text{m}$ GaAs pHEMT. The eight-element Tx and four-element Rx phased array printed circuit board (PCB) modules integrated with multiple integrated circuits (ICs) and endfire antennas are implemented as unit cells. Four pieces of Tx modules are vertically stacked to construct an $8\times {4}$ brick array (planar array), while four Rx modules are to construct a $4\times {4}$ array. According to 38-GHz over-the-air (OTA) measurements, the 32-element Tx shows 47.5-dBm equivalent isotropic radiated power (EIRP) at OP $_{\mathrm {1 ~dB}}$ with −35.2-dB image rejection ratio (IMRR) and −37.4-dB $\times 8$ LORR. The 16-element Rx at 38 GHz shows −4-dBm OP $_{\mathrm {1~dB}}$ with −28-dB IMRR and −36.6-dB LORR. The Tx and Rx support the beam scanning around ±60° azimuth and ±30° elevation planes. The Tx-to-Rx wireless data link demonstrates 64 quadrature amplitude modulation (QAM)/400 M-BR, 256 QAM/200 M-BR, and 512 QAM/100 M-BR in 20 m. To the best of our knowledge, this work is the first 5G 37-/39-GHz phased array Tx/Rx using the scalable brick array configuration and demonstrating competitive performances compared with previous works.

Background/aim Estrogen receptor α (ERα) antagonist is the most common treatment for ERα-positive breast cancer. However, compensatory signaling contributes to resistance to ERα antagonists. Thus, to explore the potential agents for targeting compensatory signaling, we screened multiple target inhibitors for breast cancer treatment. Materials and methods We attempted to build a structure-based virtual screening model that can find potential compounds and assay the anticancer ability of these drugs by overall cell survival assay. The downstream compensatory phosphorylated signaling was measured by immunoblotting. Results Hamamelitannin and glucocheirolin were hits for ERα, phosphoinositide 3-kinase (PI3K), and KRAS proto-oncogene, GTPase (KRAS), which were active against estrogen and epidermal growth factor-triggered proliferation. Additionally, we select aminopterin as a hit for ERα, PI3K, KRAS, and SRC proto-oncogene, non-receptor tyrosine kinase (SRC) with inhibitory activities toward AKT serine/threonine kinase 1 (AKT) and mitogen-activated protein kinase kinase (MEK) signaling. Conclusion Our structure-based virtual screening model selected hamamelitannin, glucocheirolin, aminopterin, and pemetrexed as compounds that may act as potential inhibitors for improving endocrine therapies for breast cancer.

Subthalamic nucleus deep brain stimulation (STN-DBS) is widely used to treat patients with Parkinson's disease (PD), and recent studies have shown that it is more beneficial for early stages, suggesting a potential neuroprotective effect. And the neuroinflammation plays an indispensable role in progress of PD. However, the underlying mechanisms are not well understood. The aim of this study was to investigate the effect of STN-DBS on neuroinflammation and the potential pathway. To address this question, we established a rat PD model by unilateral 6-hydroxydopamine injection into the left striatum and implanted stimulation leads into the ipsilateral STN to deliver electrical stimulation for a week. The neuroprotective effects of STN-DBS were examined by molecular biology techniques, including western blotting, immunohistochemistry and so on. We found that motor deficits were alleviated by STN-DBS, with increased survival of dopaminergic neurons in the substantia nigra (SN). Furthermore, STN-DBS decreased Fractalkine (CX3CL1) and its receptor (CX3CR1) expression. Meanwhile, the suppressed microglia activation and nuclear factor-κB expression, decrease in the levels of pro-inflammatory cytokine interleukin (IL)-1β and IL-6 and increase in anti-inflammatory cytokine IL-4, downregulated IL-1 receptor, extracellular signal-regulated kinase (ERK) and cleaved-caspase3 were also observed in SN of PD models received STN-DBS. In conclusion, we observed a significant association between the suppressed neuroinflammation and STN-DBS, which may be attributed to CX3CL1/CX3CR1 signaling. These results provide novel insight into the mechanistic basis of STN-DBS therapy for PD.

Plasma levels of biomarkers change with the progression of Alzheimer's disease (AD), which involves the accumulation of pathological amyloid β (Aβ) and Tau protein tangles. However, few studies have investigated the association between plasma biomarkers and rapid cognitive decline in patients with amnestic mild cognitive impairment (aMCI) and AD. A total of 10 healthy controls, 24 patients with aMCI, and 19 patients with AD were enrolled. All participants underwent twice Mini-Mental State Examination (MMSE), with a mean 1.2 year interval. Immunomagnetic reduction was utilized to evaluate levels of plasma biomarkers, including amyloid β 1–40 (Aβ1-40), Aβ1-42, total Tau protein, phosphorylated Tau protein (Threonine 181), and α-synuclein (α-Syn). The correlations between plasma levels of biomarkers and MMSE change were examined. Our analysis reveals that current higher plasma levels of Aβ1-42 and α-Syn with the cut-off value of plasma Aβ1-42 >17.26 pg/mL and α-Syn >105 fg/mL had a moderate-to-high discriminatory capacity (area under the curve >0.70) for identifying cognitive deterioration in patients with aMCI. Our results thus suggest that plasma levels of Aβ1-42 and α-Syn may be considered as useful markers to assess the severity of global cognitive decline in patients with aMCI.

Linear discriminant analysis (LDA) is widely used for various binary classification problems. In contrast to the LDA that estimates the precision matrix Ω and the mean difference vector δ ...

Background The neuroprotective role of interleukin (IL)-33 is supported by numerous preclinical studies, but it remains uninvestigated in clinical studies of Alzheimer’s disease (AD). We aimed to examine the association between human blood levels of IL-33 and cognitive preservation in amnestic mild cognitive impairment (aMCI) and AD. Methods A total of 100 participants (26 controls, 35 aMCI patients, and 39 AD patients) completed two Mini-Mental State Examinations (MMSEs) over a 1-year interval. In all 100 participants at the second MMSE, we examined the plasma levels of IL-33, IL-β, IL-1 receptor agonist (IL-1RA), beta amyloid (Aβ), and tau and apolipoprotein E (ApoE) genotyping; we also performed Hopkins Verbal Learning Test, Trail Making Test, forward and backward digit span, and Clinical Dementia Rating. Results IL-33 expression showed a positive trend among controls (1/26 = 3.8%), aMCI (9/35 = 25.7%), and AD (17/39 = 43.6%) (trend analysis: P P = 0.006). The cognitive preservation was not associated with the lower levels of Aβ, tau, and ApoE ε4, while higher levels of ApoE ε4 and phosphorylated tau were indeed associated with cognitive decline. The aMCI patients with AD conversion during study period had higher proportion of IL-33(−) than non-AD converters (90.9% vs 53.3%, P = 0.04). Conclusions IL-33 or its associated signaling pathways may represent a new treatment paradigm for aMCI and AD.

The causes of chronic antibiotic refractory pouchitis (CARP) and pouch failure in inflammatory bowel disease (IBD) patients remain unknown. Our previous small study showed peripouch fat area measured by MRI was associated with pouchitis. To explore the relationship between peripouch fat area on CT imaging and pouch outcomes. This is a historical cohort study. Demographic, clinical, and radiographic data of IBD patients with abdominal CT scans after pouch surgery between 2002 and 2017 were collected. Peripouch fat areas and mesenteric peripouch fat areas were measured on CT images at the middle pouch level. A total of 435 IBD patients were included. Patients with higher peripouch fat areas had a higher prevalence of CARP. Univariate analyses demonstrated that long duration of the pouch, high weight or body mass index, the presence of primary sclerosing cholangitis or other autoimmune disorders, and greater peripouch fat area or mesenteric peripouch fat area were risk factors for CARP. Multivariable analyses demonstrated that the presence of primary sclerosing cholangitis or autoimmuned disorders, and greater peripouch fat area (odds ratio [OR] 1.031; 95% confidence interval [CI] 1.016–1.047, P

Background Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and voice disorder referred to as hypokinetic dysarthria (HD). However, the brain morphological changes associated with HD have not been investigated. Moreover, no reliable model for predicting the severity of HD based on neuroimaging has yet been developed. Methods A total of 134 PD patients were included in this study and divided into a training set and a test set. All participants underwent a structural magnetic resonance imaging (MRI) scan and neuropsychological evaluation. Individual cortical thickness, subcortical structure, and white matter volume were extracted, and their association with HD severity was analyzed. After feature selection, a machine‐learning model was established using a support vector machine in the training set. The severity of HD was then predicted in the test set. Results Atrophy of the right precentral cortex and the right fusiform gyrus was significantly associated with HD. No association was found between HD and volume of white matter or subcortical structures. Favorable and optimal performance of machine learning on HD severity prediction was achieved using feature selection, giving a correlation coefficient (r) of .7516 and a coefficient of determination (R2) of .5649 (P

Pouch prolapse is a rare pouch complication which often leads to pouch failure in inflammatory bowel disease (IBD) patients. Its exact cause remains unknown. Floppy pouch complex (FPC) was defined as the presence of any one of the following pouch disorders: pouch prolapse, afferent limb syndrome (ALS), redundant loop, and pouch folding. We aimed to explore the role of peripouch fat area in the occurrence of pouch prolapse and FPC. Pouch patients with available pouchoscopy and abdominal CT scans who were followed up between 2011 and 2017 in Cleveland Clinic were reviewed. Peripouch fat was measured on CT images. Of the 93 included patients, 31 were females; 87 had J pouches and 6 had S pouches. The median duration of pouch was 8.0 (interquartile range [IQR] 5.0–16.5) years. A total of 18 cases (19.4%, 18/93) were identified as FPC, including 12 pouch prolapse, 5 ALS, 1 redundant loop, and 3 pouch folding. Patients with pouch prolapse had lower peripouch fat area (13.6 (9.3–18.5) vs. 27.6 (11.0–46.2)cm2, P = 0.022) than those without. Patients with FPC had lower peripouch fat area (15.4 (11.4–20.6) vs. 27.6 (11.0–46.9)cm2, P = 0.040) than those without. Univariate and multivariate analyses demonstrated that lower peripouch fat area, lower weight, and family history of IBD were independent predictors of pouch prolapse and FPC. A lower peripouch fat area was observed in inflammatory bowel disease patients with pouch prolapse and FPC. Longitudinal studies are needed to further elucidate the role of peripouch fat in the pathogenesis of pouch prolapse and FPC.

Circulating tumor cells (CTC) play important roles in various cancers; however, few studies have assessed their clinical utility in neuroendocrine tumors. This study aimed to prospectively evaluate the prognostic value of CTC counts in Asian patients with neuroendocrine tumors before and during anti-cancer therapy. Patients who were diagnosed with unresectable histological neuroendocrine tumors between September 2011 and September 2017 were enrolled. CTC testing was performed before and during anti-cancer therapy using a negative selection protocol. Chromogranin A levels were also assessed. Univariate and multivariate Cox’s proportional hazard model with forward LR model was performed to investigate the impact of independent factors on overall survival and progression-free survival. Kaplan–Meier method with log-rank tests were used to determine the difference among different clinicopathological signatures and CTC cutoff. The baseline CTC detection rate was 94.3% (33/35). CTC counts were associated with cancer stages (I-III vs. IV, P = 0.015), liver metastasis (P = 0.026), and neuroendocrine tumor grading (P = 0.03). The median progression-free survival and overall survivals were 12.3 and 30.4 months, respectively. In multivariate Cox regression model, neuroendocrine tumors grading and baseline CTC counts were both independent prognostic factors for progression-free survival (PFS, P = 0.005 and 0.015, respectively) and overall survival (OS, P = 0.018 and 0.023, respectively). In Kaplan-Meier analysis, lower baseline chromogranin A levels were associated with longer PFS (P = 0.024). Baseline CTC counts are associated with the clinicopathologic features of neuroendocrine tumors and are an independent prognostic factor for this malignancy.

The molecular mechanisms governing the metastasis of colorectal cancer (CRC) are incompletely understood. In the present study, we found NOVA1 to be expressed at higher levels in CRC cell lines and tissue samples, and this upregulation was positively correlated with TNM stage (p = 0.034), poor differentiation (p = 0.001), and lymph node metastasis (p = 0.008). Both overall survival (OS) and relapse-free survival (RFS) were both significantly decreased in patients with high NOVA1 expression relative to those with low expression. Through a multivariate analysis, we determined that NOVA1 independently predicted poor outcomes in those with CRC. In further functional studies, we found that NOVA1 expression controlled the proliferation and invasive characteristics of CRC cells via a mechanism wherein NOVA1 bound and stabilized the IL6 mRNA, enhancing IL-6/JAK2/STAT3 signaling to in turn upregulate matrix metalloproteinases (MMPs) 2, 7, and 9. NOVA1 therefore plays key functional roles in regulating CRC progression, and our results further indicate that it serve as a valuable prognostic biomarker and potentially a target for therapeutic treatment in individuals with CRC.

IntroductionA kidney tumor is among the 10 most common cancers. Among kidney tumors, renal cell carcinoma (RCC) is one of the most common types with an alarming increasing incidence rate. Although the disruption of microbiota is an established factor in the progression of intestinal cancers, its role in other types of cancers has been under-studied.Material and methodsIn this study, the microbiome disruption and the involvement of SNZ (SCHNARCHZAPFEN) and SA (Stromalin) genes in the development of kidney cancer have been focused on using a combination of genetic and bioinformatic analysis. The microbiomes of kidney tumor patients were analyzed using various genetic and bioinformatic variations. Genetic and bioinformatic analyses were performed to identify operational taxonomic units (OTUs), SNZ, SA, and annotate species were determined using 41 samples from a population of kidney tumors.ResultsThe whole samples from the kidney tumor of patients were screened by PCR amplification and a total of 1317 OTUs were identified. Among them, 379 were common among the two populations, 766 were unique to the SA gene, and 172 to SNZ. SA was more abundant in Gammaproteobacteria and bacilli, while SNZ had a higher abundance in bacteroidia and actinobacteria. Correlation analysis was performed to find out the bacteria that were differentially expressed among the population samples.ConclusionsTo sum up, our study reveals that SA and SNZ are differentially expressed in the microbiome of the kidney tumor that is associated with the development of kidney tumors such as renal cell carcinoma in human populations.

Migraine is commonly comorbid with insomnia, both disorders are linked to functional disturbance of the default mode network (DMN). Evidence suggests that DMN could be segregated into multiple subnetworks with specific roles that underline different cognitive processes. However, the relative contributions of DMN subnetworks in the comorbidity of migraine and insomnia remain largely unknown. This study sought to identify altered functional connectivity (FC) profiles of DMN subnetworks in the comorbidity of migraine and insomnia. Direct group comparisons with healthy controls, followed by conjunction analyses, were used to identify shared FC alterations of DMN subnetworks. The shared FC changes of the DMN subnetworks in the migraine and insomnia groups were identified in the dorsomedial prefrontal and posteromedial cortex subnetworks. These shared FC changes were primarily associated with motor and somatosensory systems, and consistently found in patients with comorbid migraine and insomnia. Additionally, the magnitude of FC between the posteromedial cortex and postcentral gyrus correlated with insomnia duration in patients with comorbid migraine and insomnia. Our findings point to specific FC alterations of the DMN subnetwork in migraine and insomnia. The shared patterns of FC disturbance may be associated with the underlying mechanisms of the comorbidity of the two disorders.

Neuroscientific studies on the function of the basal ganglia often examine the behavioral performance of patients with movement disorders, such as Parkinson’s disease (PD) and dystonia (DT), while simultaneously examining the underlying electrophysiological activity during deep brain stimulation surgery. Nevertheless, to date, there have been no studies comparing the cognitive performance of PD and DT patients during surgery. In this study, we assessed the memory function of PD and DT patients with the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE). We also tested their cognitive performance during the surgery using a continuous recognition memory test. The results of the MoCA and MMSE failed to reveal significant differences between the PD and DT patients. Additionally, no significant difference was detected by the intraoperative memory test between the PD and DT patients. The intraoperative memory test scores were highly correlated with the MMSE scores and MoCA scores. Our data suggest that DT patients perform similarly to PD patients in cognitive tests during surgery, and intraoperative memory tests can be used as a quick memory assessment tool during surgery.

Background Recent reports suggest that the long non-coding RNA LBX2 antisense RNA 1 (LBX2-AS1) acts as an important regulator in cancer progression, but its significance in colorectal cancer (CRC) remains undetermined. Methods LBX2-AS1 expression levels in CRC were determined from the GEPIA database and CRC tissues to investigate clinical relevance. meRIP-PCR assays investigated the molecular mechanisms underlying the function of m6A in LBX2-AS1. Loss of function experiments was used to define the role of LBX2-AS1 in the progression of CRC. The ceRNA function of LBX2-AS1 was evaluated by RNA immunoprecipitation. In vitro and PDX models were used to determine if LBX2-AS1 promotes 5-fluorouracil resistance. Results Data from the TCGA and our institutional patient cohorts established that LBX2-AS1 levels were significantly upregulated in most CRC tissues relative to normal adjacent colon tissues. Moreover, LBX2-AS1 levels were positively correlated with aggressive disease characteristics, constituting an independent prognostic indicator of overall patient survival. Mechanistic investigations suggested that the increased LBX2-AS1 in CRC was mediated by METTL3-dependent m6A methylation. In vitro experiments indicated that knockdown of LBX2-AS1 inhibited CRC proliferation, migration and invasion with this phenotype linked to LBX2-AS1-mediated regulation of AKT1, acting as a ceRNA to sponge miR-422a. Ex vivo analysis of patient-derived CRC xenografts showed that low LBX2-AS1 expression cases exhibited 5-FU responsiveness and clinical investigations confirmed that low LBX2-AS1 expression was associated with improved clinical benefits from 5-FU therapy. Conclusions Together these results suggest that LBX2-AS1 may serve as a therapeutic target and predictor of 5-FU benefit in CRC patients.

The emergence of digital technology has compelled the retail industry to develop innovative and sustainable business models to predict and respond to consumer behavior. However, most enterprises are crippled with doubt, lacking frameworks and methods for moving forward. This study establishes a five-step decision-making framework for digital transformation in the retail industry and verifies it using real data from convenience stores in Taiwan. Data from residential type and cultural and educational type convenience stores, which together account for 75% of all stores, underwent a one-year simulation analysis according to the following three decision models for promotions: the shelf-life extended scrap model (SES), the fixed remaining duration model (FRD), and the dynamic promotion decision model (DPD). The results indicated that the DPD model reduced scrap in residential type stores by 12.88% and increased profit by 15.43%. In cultural and educational stores, the DPD model reduced scrap by 10.78% and increased profit by 7.63%. The implementation of the DPD model in convenience stores can bring additional revenue to operators, and at the same time address the problem of food waste. With the full use of resources, sustainable operation can be turned into a concrete and feasible management decision-making plan.

Background Considering the involvement of genetics in migraine pathogenesis in diverse ethnic populations, genome-wide association studies (GWAS) are being conducted to identify migraine-susceptibility genes. However, limited surveys have focused on the onset age of migraine (AoM) in Asians. Therefore, in this study, we aimed to identify the susceptibility loci of migraine considering the AoM in an Asian population. Methods We conducted a GWAS in 715 patients with migraine of Han Chinese ethnicity, residing in Taiwan, to identify the susceptibility genes associated with AoM. Based on our standard demographic questionnaire, the population was grouped into different subsets. Single-nucleotide polymorphism (SNP) associations were examined using PLINK in different AoM onset groups. Results We discovered eight novel susceptibility loci correlated with AoM that reached the GWAS significance level in the Han Chinese population. First, rs146094041 in ESRRG was associated with AoM $$\le$$ ≤ 12 years. The other SNPs including rs77630941 in CUX1, rs146778855 in CDH18, rs117608715 in NOL3, rs150592309 in PRAP1, and rs181024055 in NRAP were associated with the later AoM. Conclusions To our knowledge, this is the first GWAS to investigate the AoM in an Asian Han Chinese population. Our newly discovered susceptibility genes may have prospective associations with migraine pathogenesis.

Background: Biopsies play an important role in the diagnosis of intracranial lesions, and robot-assisted procedures are increasingly common in neurosurgery centers. This research investigates the diagnoses, complications, and technology yield of 700 robotic frameless intracranial stereotactic biopsies conducted with the Remebot system.Method: This research considered 700 robotic biopsies performed between 2016 and 2020 by surgeons from the Department of Functional Neurosurgery in Beijing's Tiantan Hospital. The data collected included histological diagnoses, postoperative complications, operation times, and the accuracy of robotic manipulation.Results: Among the 700 surgeries, the positive rate of the biopsies was 98.2%. The most common histological diagnoses were gliomas, which accounted for 62.7% of cases (439/700), followed by lymphoma and germinoma, which accounted for 18.7% (131/700) and 7.6% (53/700). Bleeding was found in 14 patients (2%) by post-operation computed tomography scans. A total of 29 (4.14%) patients had clinical impairments after the operation, and 9 (1.29%) experienced epilepsy during the operation. The post-biopsy mortality rate was 0.43%. Operation time—from marking the cranial point to suturing the skin—was 16.78 ± 3.31 min (range 12–26 min). The target error was 1.13 ± 0.30 mm, and the entry point error was 0.99 ± 0.24 mm.Conclusion: A robot-assisted frameless intracranial stereotactic biopsy guided by a videometric tracker is an efficient, safe, and accurate method for biopsies.

Primary Sjögren’s syndrome is an autoimmune disease that is predominantly seen in women. The disease is characterized by exocrine gland dysfunction in combination with serious systemic manifestations. At present, the causes of pSS are poorly understood. Pulmonary and renal inflammation are observed in pSS mice, reminiscent of a subset of pSS patients. A growing body of evidence indicates that inflammation mediated by Damage-Associated Molecular Patterns (DAMPs) contributes to autoimmunity, although this is not well-studied in pSS. Degraded extracellular matrix (ECM) constituents can serve as DAMPs by binding pattern-recognition receptors and activating Myd88-dependent signaling cascades, thereby exacerbating and perpetuating inflammatory cascades. The ECM components biglycan (Bgn) and decorin (Dcn) mediate sterile inflammation and both are implicated in autoimmunity. The objective of this study was to determine whether these ECM components and anti-ECM antibodies are altered in a pSS mouse model, and whether this is dependent on Myd88 activation in immune cells. Circulating levels of Bgn and Dcn were similar among pSS mice and controls and tissue expression studies revealed pSS mice had robust expression of both Bgn and Dcn in the salivary tissue, saliva, lung and kidney. Sera from pSS mice displayed increased levels of autoantibodies directed against ECM components when compared to healthy controls. Further studies using sera derived from conditional knockout pSS mice demonstrated that generation of these autoantibodies relies, at least in part, on Myd88 expression in the hematopoietic compartment. Thus, this study demonstrates that ECM degradation may represent a novel source of chronic B cell activation in the context of pSS.

Deep brain stimulation of the anterior nucleus of the thalamus (ANT-DBS) has been shown to be effective and safe in the long-term treatment of refractory epilepsy. However, the mechanisms by which ANT-DBS controls epilepsy at the gene expression level (e.g., which regulatory mechanisms are altered) is not well understood. Nine rats were randomly assigned to the control group, the kainic acid (KA) group, and the DBS group. Temporal lobe epilepsy in rats was induced by a stereotaxic KA injection (KA group). The DBS group received the KA injection followed by treatment with ANT-DBS. Video-electroencephalogram (EEG) was used to monitor seizures. Total RNA samples were isolated from the hippocampus of three groups. Microarray was used to detect differentially regulated mRNAs. GO and pathway analysis were performed to analyze the functional categories and affected pathways. qPCR was used to prove the reliability of the microarray results. The differentially expressed genes the KA group and the DBS group, relative to the control group, were screened and a total of 2910 genes were identified. These genes were involved in functional categories such as ion channel activity (P = 5.01 × 10−8), gated channel activity (P = 1.42 × 10−7), lipid binding (P = 4.97 × 10−5), and hydrolase activity (P = 5.02 × 10−5) and pathways such as calcium signaling pathway (P = 2.09 × 10−8), glutamatergic synapse (P = 4.09 × 10−8) and NOD-like receptor signaling pathway (P = 2.70 × 10−6). Differentially expressed mRNAs might play a role in the pathogenesis of temporal lobe epilepsy. Calcium signaling pathways, synaptic glutamate, and NOD-like receptor signaling pathway play a central role in normal-epilepsy-ANT-DBS treatment series. ANT-DBS achieves its antiepileptic effects by modulating target genes involved in a variety of functions and pathways.

In modern scientific research, data are often collected from multiple modalities. Since different modalities could provide complementary information, statistical prediction methods using multi-modality data could deliver better prediction performance than using single modality data. However, one special challenge for using multi-modality data is related to block-missing data. In practice, due to dropouts or the high cost of measures, the observations of a certain modality can be missing completely for some subjects. In this paper, we propose a new DIrect Sparse regression procedure using COvariance from Multi-modality data (DISCOM). Our proposed DISCOM method includes two steps to find the optimal linear prediction of a continuous response variable using block-missing multi-modality predictors. In the first step, rather than deleting or imputing missing data, we make use of all available information to estimate the covariance matrix of the predictors and the cross-covariance vector between the predictors and the response variable. The proposed new estimate of the covariance matrix is a linear combination of the identity matrix, the estimates of the intra-modality covariance matrix and the cross-modality covariance matrix. Flexible estimates for both the sub-Gaussian and heavy-tailed cases are considered. In the second step, based on the estimated covariance matrix and the estimated cross-covariance vector, an extended Lasso-type estimator is used to deliver a sparse estimate of the coefficients in the optimal linear prediction. The number of samples that are effectively used by DISCOM is the minimum number of samples with available observations from two modalities, which can be much larger than the number of samples with complete observations from all modalities. The effectiveness of the proposed method is demonstrated by theoretical studies, simulated examples, and a real application from the Alzheimer’s Disease Neuroimaging Initiative. The comparison between DISCOM and some existing methods also indicates the advantages of our proposed method.

Objectives Deep brain stimulation (DBS) and stereo-electroencephalography (SEEG) electrode implantation are the most important and frequent manipulations in nonhuman primates (NHP) neuromodulation research. However, traditional methods tend to be arduous and inaccurate. Materials and methods Twelve adult male rhesus monkeys were selected for the study, with six subthalamic nucleus (STN) DBS, six anterior nucleus of the thalamus (ANT) DBS and six hippocampus-SEEG (Hippo-SEEG) electrodes implantation. Mean Euclidean errors of entrance and the target were calculated by postoperative image fusion, and the correlation between entrance and target error, as well as the differences among the various manipulations, were analyzed. The accuracy of target was further confirmed by gross anatomy examination. Moreover, the time consumption was recorded. Results The mean (±SD) Euclidean errors of the target point and entry point of the three manipulations were STN-DBS: 1.05 ± 0.54 mm and 0.52 ± 0.17 mm; ANT-DBS: 1.12 ± 0.74 mm and 0.58 ± 0.24 mm; and Hippo-SEEG: 2.68 ± 1.03 mm and 1.47 ± 0.63 mm. Significant differences were observed in both target and entry point errors between the DBS and Hippo-SEEG groups, with superior accuracy in the DBS group. The entrance errors had a significantly positive correlation with the target errors in the STN-DBS and Hippo-SEEG groups. Moreover, the time consumption in robotic surgery was much shorter than that in the traditional method, without any severe complications. Conclusion The application of robot-assisted lead implantation in NHP neuromodulation research is feasible, accurate, safe, and efficient, and can prospectively be beneficial to neurological studies.

Software-defined networking (SDN) brings new opportunities in the design of more reliable and flexible consistent network update mechanisms by making the update process independent of the underlying routing protocols. With the advance of wireless transmission technology, more and more enterprises have deployed wireless antennas into their data centers. However, to the best of our knowledge, none of the state-of-the-art solutions consider radio interference and resource competition into their model design of consistent network update. In this paper, we first propose a wireless dependency model to formulate radio interference. Based on traffic delivery and resource constraints, we formulate the resource competition problem as an update time minimization problem for ensuring the consistency properties, and then propose a greedy-heuristic scheme to minimize the total update time. Simulation results show that the proposed scheme is efficient and outperforms a well-known solution designed for network update in SDN. The simulation results also reveal the importance of resolving resource competition during network update.

Background Primary headache disorders (PHDs) are associated with sleep problems. It is suggested that headache and sleep disorder share anatomical and physiological characteristics. We hypothesised that patients with PHDs were exposed to a great risk for developing sleep apnoea (SA). Methods In this retrospective longitudinal study, the data obtained from the Longitudinal Health Insurance Database in Taiwan were analysed. The study included 1346 patients with PHDs who were initially diagnosed and 5348 patients who were randomly selected and age/sex matched with the study group as controls. PHDs, SA, comorbidities and other confounding factors were defined based on International Classification of Diseases, Ninth Revision, Clinical Modification. Cox proportional hazards regressions were employed to examine adjusted HRs after adjusting with confounding factors. Results Our data revealed that patients with PHDs had a higher risk (HR 2.17, 95% CI 1.259 to 3.739, p Conclusion Our results suggest that PHDs are linked to an increased risk for SA with sex-dependent and time-dependent characteristics.

To compare the efficacy and side effects of bilateral globus pallidus internus (GPi) and subthalamic nucleus (STN) deep brain stimulation (DBS) in the same patient with primary dystonia.Patients with primary dystonia from the department of functional neurosurgery in Beijing Tiantan Hospital were recruited for the study. Four electrodes were bilaterally implanted in the GPi and STN. A trial stimulation was applied to determine the preliminary therapeutic effects. Five evaluations were conducted: preoperative, postoperative (before stimulation), after sham stimulation, and after stimulation for 24 hours of GPi and STN using optimal parameters, judged by the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS).The BFMDRS movement score decreased after both short-term GPi stimulation (from 15.3 ± 6.9 to 7.6 ± 4.2, P0.05) and short-term STN stimulation (from 15.3 ± 6.9 to 8.6 ± 5.0, P0.05). There were significant reductions in facial (eyes and mouth) movement scores after short-term GPi and STN DBS compared with baseline (P0.05), but not in cervical symptoms (P0.05). The cervical symptoms of tonic dystonia had an improvement after long-term DBS treatment (P0.05). There were more adverse events with STN DBS; however, most side effects could be ameliorated by adjusting stimulation parameters.Both short-term GPi and STN stimulation improved the motor symptoms of dystonia, but there was no significant difference between GPi DBS and STN DBS. There were more side effects associated with STN stimulation.

Distributed LC resonator and resistively distributed resonator belong to the same technique used to extend the locking range of injection-locked frequency divider (ILFD). ILFD using the former resonator often has one locking range, and extension of locking range is attributed to oscillation frequency increment. This paper measures and analyzes the input sensitivity of a CMOS ILFD with a resistively distributed resonator and with the divide-by-3 and divide-by-2 functions, and the input sensitivity shows a wide single-band locking range. The fabricated 0.18- $\mu \text{m}$ CMOS ILFD is made of a pair of cross-coupled n-type transistors, two direct-injection MOSFETs, and a resistively dual-resonance resonator. The wide single-band locking range of the designed ILFD is owing to the overlapped locking ranges, and it is verified by the smooth tuning range without forbidden region and nonoverlapped locking ranges measured on the same chip with the unbalanced injection structure. The frequency tuning is obtained with large tank resistance, which also reduces the frequency tuning hysteresis effect.

Wide-angle lasing emitting from dye-doped blue-phase liquid crystals (DDBPLCs), which are analogous to photonic crystals, have been demonstrated to selectively reflect visible light. Herein, the best mixed system ZTO-5024LA+S811 was chosen as it required minimal applied voltage for wavelength tuning and exhibited largest platelets of several hundred micrometers with homogeneous colors in the BP lattice; the BP sample integrated with in-plane switching (IPS) electrodes, which enhanced the electric field directionally, demonstrated wideband tunability of Bragg light reflection up to around 70 nm when measured at various detection angles. The results show that to obtain the same amount of reflection peak shift for the 0° detection angle, lowest voltage was required because the largest electrostriction effect stretched the photonic band gap (PBG) structure under the transverse electric field constituted by the IPS electrodes. By the addition of a laser dye, PYRROMETH-597, to the BP sample, the lasing action was achieved with wavelength tunable over 55 nm for each detection angle. This miniaturized and simple design presents significant possibilities for easy packaging into displays and the fabrication of spatially wavelength-tunable photonic devices.

The rate of cognitive decline among patients with amnestic mild cognitive impairment (aMCI) varies, and it is thus crucial to accurately predict the probability of cognitive deterioration in patients with MCI. We compared the potential of cytokines with amyloid beta (Aβ) and tau biomarkers for predicting cognitive decline in patients with aMCI or Alzheimer’s disease (AD). All participants (controls, aMCI, and AD patients) underwent plasma biomarker examinations for Aβ1–40, Aβ1–42, total tau (t-tau), tau phosphorylated at threonine 181 [p-Tau181]), and 29 cytokines and baseline cognitive tests, including Mini-Mental State Examination (MMSE). The correlation between biomarker levels and annual MMSE change during the follow-up was examined. Receiver operating characteristic (ROC) curve analysis was performed to determine whether the statistically significant plasma biomarkers could identify cognitive decline. Higher baseline levels of IL-2, sCD40L, IL-8, and VEGF were associated with a lower annual cognitive decline in the aMCI group, and higher baseline levels of Aβ1–40, IFNγ, IL-5, IL-17A, IL-25, and FGF were associated with a rapid annual cognitive decline in the AD group. IL-2 had a high discriminatory capacity for identifying cognitive decline, with an area under curve (AUC) of 85.7% in the aMCI group, and the AUC was slightly increased when combining IL-2 with Aβ or tau biomarkers. However, none of the biomarkers had a satisfactory discriminatory capacity in the AD group. IL-2 may have a better discriminatory capacity for identifying cognitive decline than Aβ and tau biomarkers in patients with aMCI.

In this study, we aimed to develop a deep learning model for identifying bacterial keratitis (BK) and fungal keratitis (FK) by using slit-lamp images. We retrospectively collected slit-lamp images of patients with culture-proven microbial keratitis between January 1, 2010, and December 31, 2019, from two medical centers in Taiwan. We constructed a deep learning algorithm, consisting of a segmentation model for cropping cornea images and a classification model that applies convolutional neural networks to differentiate between FK and BK. The model performance was evaluated and presented as the area under the curve (AUC) of the receiver operating characteristic curves. A gradient-weighted class activation mapping technique was used to plot the heatmap of the model. By using 1330 images from 580 patients, the deep learning algorithm achieved an average diagnostic accuracy of 80.00%. The diagnostic accuracy for BK ranged from 79.59% to 95.91% and that for FK ranged from 26.31% to 63.15%. DenseNet169 showed the best model performance, with an AUC of 0.78 for both BK and FK. The heat maps revealed that the model was able to identify the corneal infiltrations. The model showed better diagnostic accuracy than the previously reported diagnostic performance of both general ophthalmologists and corneal specialists.

BACKGROUND Alzheimer’s disease (AD) involves the abnormal activity of transition metals and metal ion dyshomeostasis. The present study aimed to assess the potential of 36 trace elements in predicting cognitive decline in patients with amnestic mild cognitive impairment (aMCI) or AD. METHODS All participants (controls, aMCI, and AD) underwent baseline cognitive tests, which included the Mini-Mental State Examination (MMSE) and plasma biomarker examinations. We conducted a trend analysis for the cognitive tests and plasma trace elements and examined the correlations between the latter and annual MMSE changes during follow-up. RESULTS An increase in the disease severity was linked to lowered boron (B), bismuth (Bi), thorium (Th), and uranium (U) plasma concentrations (adjusted P in vivo tool to study and identify patients with aMCI and AD.

Introduction: Uniportal video-assisted thoracoscopic surgery (VATS) for various pulmonary diseases provides advantages of less postoperative pain and earlier post-operative recovery over traditional open surgery. The inherent limitation of this surgical modality in manipulation of surgical instruments renders intra-operative one-lung ventilation a requisite to increase the substantially restricted working space and thus visibility of the surgical filed. Patient concerns: Patient 1, an 8-month-old, 9-kg, and 70 cm-in-height male infant was diagnosed as congenital pulmonary airway malformation (CPAM) over left lower lobe. Patient 2, a 9-month-old, 8-kg and 72 cm-in-height male infant was diagnosed as CPAM over right lower lobe. Patient 3, an 8-month-old, 8-kg and 67 cm-in-height female infant was diagnosed as CPAM over left lower lobe. This facilitating one-lung ventilation yet was rarely conducted in infants under one year of age for the extremely small body size, the unavailability of dedicated tools, and therein the very tough techniques demanded. Diagnosis: Infants with congenital cystic adenomatoid malformation Interventions: Here we report three infants of less than one year of age in whom one-lung ventilation was successfully achieved by intraluminal use of 5-Fr Fuji Uniblocker Bronchial Blocker devices and in turn assisted the completion of uniportal VATS for congenital cystic adenomatoid malformation in unilateral lungs. Outcomes: Three infants received VATS under uniblocker smoothly. Patient 1 had two episode of balloon dislodgement and desaturation and solved by re-insertion. And he had subglottic tracheal stenosis which treatment with laser coagulation. Patient 2 had overall blood loss 80 ml. Patient 3 had one episode of desaturation after stapling the bronchus and fiberoptic bronchoscope revealed obstruction by blood and secretion which solved by suction. Conclusion: In conclusion, OLV in infants undergoing uniportal VATs could be successfully achieved by Fuji 5 Fr Uniblocker bronchial blockers for as long as 4 hours, as exemplified by our three cases, and balloon poor sealing and dislodgment can be immediately solved by bronchoscope-guided re-positioning without compromising surgical proceeding or outcome.

Introduction: Prostate biopsy (PB) is a typical daily practice method for the diagnosis of prostate cancer (PCa). This study aimed to compare the PCa detection rates and peri- and postoperative complications of PB among 3 residents and a consultant. Patients and Methods: A total of 343 patients who underwent PB between August 2018 and July 2019 were involved in this study. Residents were systematically trained for 2 weeks by a consultant for performing systematic biopsy (SB) and targeted biopsy (TB). And then, 3 residents and the consultant performed PB independently every quarter due to routine rotation in daily practice. The peri- and postoperative data were collected from a prospectively maintained database (www.pc-follow.cn). The primary outcome and secondary outcome were to compare the PCa detection rates and complications between the residents and consultant, respectively. Results: There was no significant difference between the residents and consultant in terms of overall PCa detection rates of SB and TB or further stratified by prostate-specific antigen value and prostate imaging reporting and data system (PI-RADS) scores. We found the consultant had more TB cores (175 cores vs. 86–114 cores, p = 0.043) and shorter procedural time (mean 16 min vs. 19.7–20.1 min, p < 0.001) versus the residents. The complication rate for the consultant was 6.7% and 5%–8.2% for the residents, respectively (p = 0.875). Conclusions: The residents could get similar PCa detection and complication rates compared with that of the consultant after a 2-week training. However, the residents still need more cases to shorten the time of the biopsy procedure.

BACKGROUND The objective of this study was to compare the validity of two different procalcitonin assays. METHODS We collected 63 plasma samples from a stat laboratory. The plasma values of procalcitonin ranged from 0.01 to 98.1 µg/L when tested on the Access® platform and from < 0.05 to 98.5 µg/L when tested on the VIDAS® platform. The patients included 28 females ranging in age from 8 to 98 years of age (68 ± 22.6 years) and 35 males ranging in age from 35 to 90 years of age (69.2 ± 13.4 years). RESULTS In this study, the agreement between the two methods was good and Pearson's correlation coefficient (r) was 0.989 (p < 0.001). CONCLUSIONS In summary, a high correlation exists between quantitative procalcitonin measurements conducted with the VIDAS® BRAHMS and the Beckman Coulter Unicel® DXI assays. The VIDAS® BRAHMS procalcitonin assay is a reliable method for determining the levels of procalcitonin in plasma, but requires manual operation, hands-on technical expertise, and time. On the other hand, the Beckman Coulter Unicel® DXI assay is fully automated and may increase laboratory efficiency, and reduce the overall turnaround time.

Myd88 activation is an important driver of autoimmunity. Primary Sjogren's syndrome (pSS) is an autoimmune disease characterized by exocrine gland dysfunction in combination with serious systemic disease manifestations. Myd88-dependent signaling networks remain incompletely understood in the context of pSS. The objective of this study was to establish the contribution of tissue-specific Myd88 activation to local (exocrine) and systemic pSS manifestations. To this end, we generated two novel conditional knockout pSS mouse models; one lacking Myd88 in hematopoietic cells and a second strain in which Myd88 was deleted in the stromal compartment. Spontaneous production of inflammatory mediators was altered in salivary tissue, and nephritis was diminished in both conditional knockout strains. In contrast, pulmonary inflammation was increased in mice lacking Myd88 in hematopoietic cells and was reduced when Myd88 was ablated in stromal cells. Finally, anti-nuclear autoantibodies (ANAs) were attenuated in pSS mice lacking Myd88 in immune cells. Additionally, the ANA-specific B cell repertoire was skewed in the Myd88-deficient strains. Collectively, these data demonstrate that Myd88 activation in specific cell types is essential for distinct aspects of pSS pathology.

Accelerometers provide continuous measurements of human movements. Utilizing their data exhibits great potential for monitoring or predicting human health outcomes. In this direction, researchers are active in developing machine-learning algorithms. However, compared to understanding deep learning models, visualizing and interpreting such models is equally important but has been less well-developed. To address these limitations, we constructed an online software tool to visualize the hidden states inferred from the deep learning models and to compare different cohorts based on outcome-associated temporal profiles. We demonstrated the utility of the model using the National Health and Nutrition Examination Survey (NHANES) dataset. Using this tool, we discovered that two time periods of daily activity contribute to significant differences in 5-year mortalities. To disseminate the software to the broader community for the analysis of accelerometer data, we provide the work as open-source code at https://github.com/jyan97/HiddenVis.

Most previous studies on cluster headache (CH) focus on Western populations. This study aimed to investigate the clinical characteristics of CH in a neurology outpatient population in Taiwan. A cross-sectional survey was conducted from July 2015 to June 2019 in a medical college affiliated with a tertiary care hospital (Tri-Service General Hospital) in Taiwan. All consecutive patients reporting headache as their chief complaint were asked to participate in a face-to-face interview with a qualified headache specialist and to complete a detailed self-administered questionnaire. The diagnosis of CH was made according to the Third edition of the International Classification of Headache Disorders. The subjects comprised 80 consecutive new CH patients (13 women and 67 men; ratio, 1:5). The mean age at presentation was 36.0 ± 10.8 years (range, 16–64 years), mean age at onset was 27.2 ± 12.1 years (range, 5–65 years), and mean time lag before diagnosis was 9.3 ± 10.5 years (range, 0–46.4 years). Of the total CH patients, 25.3% reported feelings of restlessness during headache episodes. A seasonal predilection was reported by 18% of the CH patients. The use of tobacco was the most common (44/80 patients). Chronic CH was only observed in 5% of the patients and only one patient (1.3%) reported both a positive family history for CH and aura. Features of CH in Taiwanese patients differed from that of Caucasian patients; a lower prevalence of chronic CH, positive family history of CH, and occurrence of aura may be less common in the former than in the latter.

EDoS (Economic Denial of Sustainability) attack is always a major threat to the cloud platform. Many researchers have developed countermeasure mechanisms against EDoS attack. The EDoS-ADS is proposed by Shawahna et al. in 2018, this mechanism can identify and drop the attack requests effectively. We attempted to discover the potential drawback of Shawahna et al. scheme and highlighted the potential risks. Inspiring by the Yo-Yo attack, we developed an approach to make EDoS-ADS scale up without dropping the attack requests. The experiments in our study show that our approach is indeed able to confuse EDoS-ADS mechanisms in efficiency.

To evaluate the correlation between craniofacial structures, anthropometric measurements, and bony and soft tissue nasopharyngeal dimensions in African Black adolescents.This retrospective cross-sectional study was conducted on 483 healthy adolescents (250 females and 233 males), randomly selected from one dental clinic. The inclusion criteria were skeletal and dental Class I, Black ethnicity, pubertal growth period as determined by the Greulich and Pyle atlas criteria, and no history of orthodontic treatment. Anthropometric measurements (stature, upper body height, lower body height, and BMI) and radiographic records (hand-wrist radiographs, and lateral cephalograms) were obtained. One investigator traced and analysed all cephalograms to determine three skeletal craniofacial parameters (maxillary length [Ar- ANS], mandibular length [Ar-Gn], and lower anterior facial height [ANS-Me]), and 14 (8 skeletal and 6 soft tissue) nasopharyngeal parameters. Pearson correlation coefficients and stepwise multiple linear regression analyses were conducted.The mean skeletal ages of females and males were 11.31±2.31y and 12.66±1.85y, respectively. Multiple linear regression analyses showed that stature, posterior height of nasal cavity (S-PNS), length of nasal floor (AA-PNS), and mean area of bony nasopharynx (Area 1) were significantly correlated with maxillary length, P.001. Stature, BMI, S-PNS, vertical angle of nasopharynx (Ba-S-PNS), Area 1, adenoid height (AD), and linear hyoid bone measurements (H-AA, H-RGN, H-Ax) were all correlated with mandibular length, P.05. Lower facial height showed sexual dimorphism and was significantly associated with vertical nasopharyngeal measurements, BMI and upper body height.Craniofacial structures were significantly associated with stature and upper body height. Maxillary growth was associated with bony nasopharyngeal variables. Mandibular growth and lower facial height were associated with bony and soft tissue nasopharyngeal variables. The sexual dimorphism in lower facial height warrants future studies to fully understand and manage the craniofacial complex and nasopharyngeal airway in African Black adolescents.

To deal with the limiting data in training for new deep learning modules, we purpose a method to generate high-resolution medical images by implementing generative adversarial networks (GAN) models. Firstly, the boundary equilibrium generative adversarial networks model was used to generate the whole lung computed tomography images. Image inpainting was then integrated to generate the delicate details of the lung part by dividing into a coarse network and a refinement network to inpaint more completed and intricate details. With this method, we aim to increase the amount of high-resolution medical images for future applications in deep learning.

Three-dimensional (3D) printing is a manufacturing technology which creates three-dimensional objects layer-by-layer or drop-by-drop with minimal material waste. Despite the fact that 3D printing is a versatile and adaptable process and has advantages in establishing complex and net-shaped structures over conventional manufacturing methods, the challenge remains in identifying the optimal parameters for the 3D printing process. This study investigated the influence of processing parameters on the mechanical properties of Fused Deposition Modelling (FDM)-printed carbon fiber-filled polylactide (CFR-PLA) composites by employing an orthogonal array model. After printing, the tensile and impact strengths of the printed composites were measured, and the effects of different parameters on these strengths were examined. The experimental results indicate that 3D-printed CFR-PLA showed a rougher surface morphology than virgin PLA. For the variables selected in this analysis, bed temperature was identified as the most influential parameter on the tensile strength of CFR-PLA-printed parts, while bed temperature and print orientation were the key parameters affecting the impact strengths of printed composites. The 45&deg, orientation printed parts also showed superior mechanical strengths than the 90&deg, printed parts.