Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovering Innate Driver Variants for Risk Assessment of Early Colorectal Cancer Metastasis

Metastasis is the main fatal cause of colorectal cancer (CRC). Although enormous efforts have been made to date to identify biomarkers associated with metastasis, there is still a huge gap to translate these efforts into effective clinical applications due to the poor consistency of biomarkers in dealing with the genetic heterogeneity of CRCs. In this study, a small cohort of eight CRC patients was recruited, from whom we collected cancer, paracancer, and normal tissues simultaneously and performed whole-exome sequencing. Given the exomes, a novel statistical parameter LIP was introduced to quantitatively measure the local invasion power for every somatic and germline mutation, whereby we affirmed that the innate germline mutations instead of somatic mutations might serve as the major driving force in promoting local invasion. Furthermore, via bioinformatic analyses of big data derived from the public zone, we identified ten potential driver variants that likely urged the local invasion of tumor cells into nearby tissue. Of them, six corresponding genes were new to CRC metastasis. In addition, a metastasis resister variant was also identified. Based on these eleven variants, we constructed a logistic regression model for rapid risk assessment of early metastasis, which was also deployed as an online server, AmetaRisk (http://www.bio-add.org/AmetaRisk). In summary, we made a valuable attempt in this study to exome-wide explore the genetic driving force to local invasion, which provides new insights into the mechanistic understanding of metastasis. Furthermore, the risk assessment model can assist in prioritizing therapeutic regimens in clinics and discovering new drug targets, and thus substantially increase the survival rate of CRC patients.
Evaluation of Antiradical and Antioxidant Activities of Lipopeptides Produced by Bacillus subtilis Strains

This study investigated the antiradical and antioxidant potential of the three families of lipopeptides (i.e., surfactin, mycosubtilin, and plipastatin/fengycin) produced by Bacillus subtilis strains. The antiradical/antioxidant activities of highly purified lipopeptides were studied in acellular models using a 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical, superoxide anion (O2.-), hydrogen peroxide, (H2O2) and hydroxyl radical (HO.). At a lipopeptide concentration of 500 mg.L−1, the maximum inhibition of DPPH reached 22.88% (obtained for plipastatin). Moreover, the scavenging effects of O2. -, H2O2, and HO. at the highest concentration tested (250 mg.L−1) were found to be 6, 21, and 3% for surfactin, 19, 9, and 15% for mycosubtilin, 21, 18, and 59% for plipastatin, 21, 31, and 61% for the mixture of surfactin/plipastatin, and 13, 16, and 15% for the mixture of surfactin/mycosubtilin, respectively. These results showed that plipastatin was the best candidate due to its antioxidant activities.
USV Control With Adaptive Compensation Under False Data Injection Attacks

This work concerns the control problem of a networked-based unmanned surface vehicle (USV) system subject to communication delays, external disturbance and false data injection (FDI) attacks. The communication channel between the control station and the actuator is vulnerable to cyber attacks. In this work, we propose an adaptive compensation module to track the given trajectory in presence of FDI attacks. Moreover, an event-triggered mechanism is introduced to handle the communication delay from the sampler to control station actuator via communication network. Finally, numerical simulation demonstrates that the method we proposed is effective.
Point-to-Multipoint Coherent Architecture with Joint Resource Allocation for B5G/6G Fronthaul

With the increasing wireless data and massive interconnections in B5G/6G, demands for an intelligent, flexible, and cost-effective fronthaul network have emerged to provide services for a ubiquitous mobile society. This calls for disruptive innovations in both the architecture and transmission technology. In this article, we introduce a point-to-multipoint coherent architecture as a promising solution, and analyze its advantages and challenges compared to other fronthaul solutions. Based on this architecture, we propose a novel joint resource allocation framework that enables the fronthaul to intelligently self-manage and self-optimize in real time. In addition, we propose a low-complexity joint resource allocation algorithm for different scenarios in this framework. Simulations show that the proposed framework and algorithm can effectively utilize the limited resources and improve the performance of the fronthaul.
Role of Ca2+/Calmodulin-Dependent Protein Kinase Type II in Mediating Function and Dysfunction at Glutamatergic Synapses

Glutamatergic synapses harbor abundant amounts of the multifunctional Ca2+/calmodulin-dependent protein kinase type II (CaMKII). Both in the postsynaptic density as well as in the cytosolic compartment of postsynaptic terminals, CaMKII plays major roles. In addition to its Ca2+-stimulated kinase activity, it can also bind to a variety of membrane proteins at the synapse and thus exert spatially restricted activity. The abundance of CaMKII in glutamatergic synapse is akin to scaffolding proteins although its prominent function still appears to be that of a kinase. The multimeric structure of CaMKII also confers several functional capabilities on the enzyme. The versatility of the enzyme has prompted hypotheses proposing several roles for the enzyme such as Ca2+ signal transduction, memory molecule function and scaffolding. The article will review the multiple roles played by CaMKII in glutamatergic synapses and how they are affected in disease conditions.
Environments-by-Design: Developing new tools to bring “field conditions” to the laboratory

vii ENVIRONMENTS BY DESIGN . 1 Research Motivation. 1 Our Approach . 4 Dissertation Organization . 5 References . 6 LEGO® BRICKS AS BUILDING BLOCKS FOR CENTIMETER-SCALE BIOLOGICAL ENVIRONMENTS: THE CASE OF PLANTS . 8 Abstract . 8 Introduction . 8 System Design . 9 Results and Discussion . 13 Conclusions . 17 Materials and Methods . 17 Limitations and Open Questions . 17 Failed Experiments . 18 References . 19 MILLIFLUDIC, MODULAR, “PETRI DISHES” FOR THE STUDY OF ORGANISMAL INTERACTIONS . 21 Abstract . 2
Spontaneous resolution of metastatic thymoma with prednisone in a patient with juvenile myasthenia gravis: a case report

Background: Juvenile myasthenia gravis is a rare autoimmune condition affecting children. Similar to myasthenia in adults, juvenile myasthenia gravis is associated with thymomas and many of these patients undergo thymectomy. However, there is no clear consensus on which patients could benefit from surgical intervention and how to manage refractory disease. Case Description: In this report, we describe a young boy who was diagnosed with myasthenia gravis and found to have stage IVa type B2 metastatic thymoma. Despite numerous pharmaceutical interventions, including neoadjuvant chemotherapy, his disease continued to progress. He ultimately underwent an extended radical parietal and visceral pleurectomy with decortication, total thymectomy, partial pericardial resection, and diaphragm resection and reconstruction. However, he had recurrence of his thymoma and was started on prednisone for palliative intent. Remarkably, within a few months he was noted to have interval decrease in his thoracic tumor burden and near resolution of his metastatic disease. Conclusions: Although spontaneous remission has been described in pediatric myasthenia, this report sheds light on possible management strategies post-thymectomy. This case additionally underscores the varied outcomes in patients treated for juvenile myasthenia gravis. Ultimately, this case, when added to both existing and future studies, will inform the development of guidelines on pediatric myasthenia gravis treatment. been well characterized. In this report, we describe a rare case of severe JMG and metastatic thymoma that responded to steroid therapy, highlighting the potential role of corticosteroids for JMG and thymoma refractory to thymectomy. We present the following case in accordance with the CARE reporting checklist (available at https://shc.
A Text Classification Algorithm for Power Equipment Defects Based on Random Forest

A short text mining architecture with a unique design is suggested to uncover the worth of short texts in the power text and management of power equipment. A Text Classification Algorithm for Power Equipment Defects (TCA-PED) is proposed in this paper. The brief text mining method is initially outlined, with each module’s operation explained in sequence. An adaptation of the short text mining architecture to practical implementation is then presented, based on the particular features of short texts found in electrical equipment power text and management. The samples of faulty texts are submitted to show the deployment of short text mining in designing and management, based on the architecture with the specifically built modules. This framework is well suited to electrical equipment power text and management activities, as demonstrated by the dataset. The particular design of each component also contributes to the enhancement of the system. Finally, the results show the effectiveness of the proposed model.
Telemedicine in epilepsy and encephalitis: previous research and indication guidelines in Korea

Telemedicine is an emerging field of medicine that has become more important during the coronavirus disease 2019 (COVID-19) pandemic era and is being studied actively in various medical fields. In neurology, the introduction of telemedicine is accelerating worldwide under the label of teleneurology. So far, few studies have been conducted on telemedicine for patients with epilepsy. In nonmetropolitan areas, video-based clinics have been demonstrated to be effective for seizure control, and smartphone-based diagnosis has also been confirmed to be accurate. Indeed, after the onset of the COVID-19 pandemic, telemedicine has been used to treat patients with epilepsy around the world. Few studies have examined the use of telemedicine for patients with autoimmune encephalitis. One showed that telephone-based evaluation is sufficient to assess the cognitive reserve of leucine-rich glioma inactivated-1-antibody encephalitis patients, thereby diagnosing their dementia. Telephone-based outpatient clinics are temporarily permitted under Korean medical law, and telemedicine can be attempted for clinically stable patients with epilepsy in Korea. In addition, patients with autoimmune encephalitis in stable or improving status may also be candidates for treatment with telemedicine. This review presents evidence for the safety and efficacy of telemedicine to treat epilepsy and encephalitis patients and discusses indication guidelines. Based on our literature review and current Korean medical law, we suggest tentative guidelines for telemedicine in the fields of epilepsy and autoimmune encephalitis.
HATS: HetTask Scheduling

To handle task execution, modern supercomputers employ thousands (or millions) of processors. In such supercomputers, task scheduling has a meaningful impression on system performance. To improve efficiency, task scheduling algorithms aim to decrease the volume of communication and the number of message exchanges. These efforts, however, result in other bottlenecks, such as high-link congestion. In addition, the heterogeneity of processors and networks is another major challenge for schedulers. This paper presents a new algorithm for scheduling called Heterogeneity-Aware Task Scheduling (HATS). The proposed algorithm adopts an updated multi-level hyper-graph partitioning approach. It describes a new method of aggregation in the coarsening step that helps to accurately coarsen the hyper-graph of the task model. The Raccoon Optimization algorithm is then used in the initial partitioning phase, and in the un-coarsening phase, a novel refinement procedure optimises the initial partitions. The experiments on this approach showed that, compared to the other well-known algorithms, the proposed method offers better schedules with lower communication volume and imbalance ratio in a shorter time.
Power’s Manipulation of the Minds and Language’s Creation of Knowledge: Foucault’s Power/Knowledge as Depicted in George Orwell’s Animal Farm

This paper investigates the social and political control strategies of totalitarian societies. Michael Foucault (1926–1984), a philosopher and thinker, proposed the idea of the incorporation of power and knowledge, which suggests that power creates knowledge and knowledge supports power. The study's investigation into how political control is formed depends on approaching the close and polar relationship between power and knowledge. Power creates the truth with the help of discursive practices and in its turn, the truth is to maintain and support the consistency of power. In this paper, the researcher illustrates these hypotheses in George Orwell’s Animal Farm. Terrorism, torture, propaganda, and the rewriting of history and language are depicted in the novel as representing just a few strategies used to control and impose hegemony over mankind. Having a look at Orwell's works, we can see that they demonstrate the power of the language of those in power. Language and eloquence are employed throughout the novel to establish power. Language manipulation and verbal commands helped make the farm control system successful.
Impact of Risk Factors on Short and Long-Term Maternal and Neonatal Outcomes in Women With Gestational Diabetes Mellitus: A Prospective Longitudinal Cohort Study

Aims Universal screening of gestational diabetes mellitus (GDM) in women with no risk factors (RF) for GDM remains controversial. This study identified the impact of the presence of RF on perinatal and postpartum outcomes. Methods This prospective cohort study included 780 women with GDM. GDM RF included previous GDM, first grade family history of type 2 diabetes, high-risk ethnicity and pre-pregnancy overweight/obesity (OW/OB). Outcomes included obstetrical, neonatal and maternal metabolic parameters during pregnancy and up to 1 year postpartum. Results Out of 780 patients, 24% had no RF for GDM. Despite this, 40% of them needed medical treatment and they had a high prevalence of glucose intolerance of 21 and 27% at 6-8 weeks and 1-year postpartum, respectively. Despite similar treatment, women with RF had more neonatal and obstetrical complications, but they had especially more frequent adverse metabolic outcomes in the short- and long-term. The most important RF for poor perinatal outcome were previous GDM and pre-pregnancy OW/OB, whereas high-risk ethnicity and pre-pregnancy OW/OB were RF for adverse postpartum metabolic outcomes. Increasing number of RF were associated with worsened perinatal and long-term postpartum outcomes except for pregnancy-induced hypertension, C-section delivery and neonatal hypoglycaemia. Conclusion Women with no RF had a high prevalence of adverse perinatal and postpartum outcomes, while the presence of RF particularly increased the risk for postpartum adverse metabolic outcomes. This calls for a RF-based long-term follow-up of women with GDM.
Effect of Optimum Sampling Rate on Uncertainty Quantification of Power System Inputs

This letter deals with the effect of downsampling in uncertainty quantification of stochastic input injections or fluctuations in the power system in the form of random load injections. The significance of carrying out such an analysis at proper time scales has been emphasized. It is observed that a downsampling mechanism becomes essential in order to study the impact of uncertainties on the overall dynamics of the system without being contaminated by the power system dynamics.
Intelligent Monitoring System of Migratory Pests Based on Searchlight Trap and Machine Vision

Three species of rice migratory pests (Cnaphalocrocis medinalis, Sogatella furcifera, and Nilaparvata lugens) cause severe yield and economic losses to rice food every year. It is important that these pests are timely and accurately monitored for controlling them and ensuring food security. Insect radar is effective monitoring equipment for migratory pests flying at high altitude. But insect radar is costly and has not been widely used in fields. Searchlight trap is an economical device, which uses light to trap migratory pests at high altitude. But the trapped pests need to be manually identified and counted from a large number of non-target insects, which is inefficient and labor-intensive. In order to replace manual identification of migratory pests, we develop an intelligent monitoring system of migratory pests based on searchlight trap and machine vision. This system includes a searchlight trap based on machine vision, an automatic identification model of migratory pests, a Web client, and a cloud server. The searchlight trap attracts the high-altitude migratory insects through lights at night and kills them with the infrared heater. All trapped insects are dispersed through a multiple layers of insect conveyor belts and a revolving brush. The machine vision module collects the dispersed insect images and sends them to the cloud server through 4G network. The improved model YOLO-MPNet based on YOLOv4 and SENet channel attention mechanism is proposed to detect three species of migratory pests in the images. The results show that the model effectively improves the detection effect of three migratory pests. The precision is 94.14% for C. medinalis, 85.82% for S. furcifera, and 88.79% for N. lugens. The recall is 91.99% for C. medinalis, 82.47% for S. furcifera, and 85.00% for N. lugens. Compared with some state-of-the-art models (Faster R-CNN, YOLOv3, and YOLOv5), our model shows a low false detection and missing detection rates. The intelligent monitoring system can real-timely and automatically monitor three migratory pests instead of manually pest identification and count, which can reduce the technician workload. The trapped pest images and historical data can be visualized and traced, which provides reliable evidence for forecasting and controlling migratory pests.
Peer Relationship Difficulties among Children with Adhd: A Systematic Review

Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders among children. The symptoms of ADHD may lead to several impairments in children who experience them and that includes difficulties with peers. The purpose of this study is to review previous research concerning peer relationships among children with ADHD. In this review, six papers were selected from the database Google Scholar using the keywords peer relationships, peer problems, ADHD, and ADHD symptoms. The studies were conducted on several aspects of peer relationships, including peer problems, quality of friendships, sociometric status, peer victimization, and peer rejection among children with ADHD. Based on the review, it was concluded that children with ADHD are more likely to have peer problems and be rejected and victimized by peers. The findings also showed that children with ADHD had lower friendship quality and sociometric status compared to children without ADHD. The impairments in peer relationships may lead to numerous negative outcomes including internalized distress, academic issues, and long-term behavioral outcomes. However, these adverse effects may be prevented through early interventions that were proven effective for children with ADHD with peer difficulties. While the implication of the current study may raise awareness and provide information on peer relationships among children with ADHD, it is suggested for future studies conduct reviews that cover more aspects of peer relationships among children with ADHD. Defiant Disorder (ODD), and conduct disorder (CD). This study included data collection from both parent-report and teacher-report in measuring the peer problems, social integration, and symptoms of ADHD, ODD, D, and CD of the children. In the findings, parent reports revealed that the symptoms of inattention in ADHD had a significant association with problems in peer relationships which was similar to the results of parent-report in the study by Forner et al. (2017). In contrast, the results from the teacher-report data showed that hyperactivity-impulsivity in ADHD had significantly decreased peer problems among the children when other variables were controlled. It was concluded that symptoms of hyperactivity-impulsivity in ADHD may act as a protective factor in peer problems if other psychopathology symptoms are controlled.
Follow-Up Assessment of Intracranial Aneurysms Treated with Endovascular Coiling: Comparison of Compressed Sensing and Parallel Imaging Time-of-Flight Magnetic Resonance Angiography

The aim of our study was to compare compressed sensing (CS) time-of-flight (TOF) magnetic resonance angiography (MRA) with parallel imaging (PI) TOF MRA in the evaluation of patients with intracranial aneurysms treated with coil embolization or stent-assisted coiling. We enrolled 22 patients who underwent follow-up imaging after intracranial aneurysm coil embolization. All patients underwent both PI TOF and CS TOF MRA during the same examination. Image evaluation aimed to compare the performance of CS to PI TOF MRA in determining the degree of aneurysm occlusion, as well as the depiction of parent vessel and vessels adjacent to the aneurysm dome. The reference standard for the evaluation of aneurysm occlusion was PI TOF MRA. The inter-modality agreement between CS and PI TOF MRA in the evaluation of aneurysm occlusion was almost perfect (κ = 0.98, p < 0.001) and the overall inter-rater agreement was substantial (κ = 0.70, p < 0.001). The visualization of aneurysm parent vessel in CS TOF images compared with PI TOF images was evaluated to be better in 11.4%, equal in 86.4%, and worse in 2.3%. CS TOF MRA, with almost 70% scan time reduction with respect to PI TOF MRA, yields comparable results for assessing the occlusion status of coiled intracranial aneurysms. Short scan times increase patient comfort, reduce the risk of motion artifacts, and increase patient throughput, with a resulting reduction in costs. CS TOF MRA may therefore be a potential replacement for PI TOF MRA as a first-line follow-up examination in patients with intracranial aneurysms treated with coil embolization.