Miracle-dz/UniFAR-FTUs huggingface dataset:
Toll-like receptor 4 deficiency in mice impairs venous thrombus resolution

Objective: Toll-like receptor 4 (TLR4) is crucial to the development of sterile inflammatory responses. The deep venous thrombosis resolution (DVT) is similar to sterile inflammation, so we hypothesize that TLR4 is involved. Methods and Results: We evaluated the effects of TLR4 deficiency on thrombus lysis in vivo, and explored the mechanisms in vitro. DVT mouse model was established by inferior vena cava (IVC) ligation. After the IVC ligation (1, 3, and 7 d), the mice were euthanized to collect the venous thrombus. The Tlr4−/− mice had significantly elevated weight/length ratios of thrombi at 3 and 7 d and increased collagen content at 3 d after IVC ligation, in addition to significantly lesser intrathrombus infiltration of neutrophils and macrophages, lower monocyte chemoattractant protein-1 (MCP-1) and matrix metalloproteinase-9 (MMP-9) expression in thrombus tissue sections and homogenates, and lower pro-MMP-9 activity at 3 d after IVC ligation than wild-type mice. After 7 days of IVC ligation, VEGF, IFNβ, and MCP-5 protein expression were decreased in venous thrombus from Tlr4−/− mice. 2 ml of 3% thioglycolate was injected intraperitoneally and peritoneal exudate was collected 3 days later from Tlr4−/− and wild type mice respectively. The intraperitoneal macrophages were isolated from adherent culture after centrifugation. Lipopolysaccharide (LPS) can activate TLR4/NF-κB signalling pathway in a concentration-dependent manner, initiated p65 nuclear translocation, IκBα phosphorylation and degradation, MMP-9 and MCP-1 transcription in WT intraperitoneal macrophages but not in Tlr4−/− intraperitoneal macrophages. Conclusion: TLR4 is involved in venous thrombosis resolution through NF-κB pathway. Loss of TLR4 in mice impairs the process.
Efficient push-grasping for multiple target objects in clutter environments

Intelligent manipulation of robots in an unstructured environment is an important application field of artificial intelligence, which means that robots must have the ability of autonomous cognition and decision-making. A typical example of this type of environment is a cluttered scene where objects are stacked and close together. In clutter, the target(s) may be one or more, and efficiently completing the target(s) grasping task is challenging. In this study, an efficient push-grasping method based on reinforcement learning is proposed for multiple target objects in clutter. The key point of this method is to consider the states of all the targets so that the pushing action can expand the grasping space of all targets as much as possible to achieve the minimum total number of pushing and grasping actions and then improve the efficiency of the whole system. At this point, we adopted the mask fusion of multiple targets, clearly defined the concept of graspable probability, and provided the reward mechanism of multi-target push-grasping. Experiments were conducted in both the simulation and real systems. The experimental results indicated that, compared with other methods, the proposed method performed better for multiple target objects and a single target in clutter. It is worth noting that our policy was only trained under simulation, which was then transferred to the real system without retraining or fine-tuning.
A robust approach for endotracheal tube localization in chest radiographs

Precise detection and localization of the Endotracheal tube (ETT) is essential for patients receiving chest radiographs. A robust deep learning model based on U-Net++ architecture is presented for accurate segmentation and localization of the ETT. Different types of loss functions related to distribution and region-based loss functions are evaluated in this paper. Then, various integrations of distribution and region-based loss functions (compound loss function) have been applied to obtain the best intersection over union (IOU) for ETT segmentation. The main purpose of the presented study is to maximize IOU for ETT segmentation, and also minimize the error range that needs to be considered during calculation of distance between the real and predicted ETT by obtaining the best integration of the distribution and region loss functions (compound loss function) for training the U-Net++ model. We analyzed the performance of our model using chest radiograph from the Dalin Tzu Chi Hospital in Taiwan. The results of applying the integration of distribution-based and region-based loss functions on the Dalin Tzu Chi Hospital dataset show enhanced segmentation performance compared to other single loss functions. Moreover, according to the obtained results, the combination of Matthews Correlation Coefficient (MCC) and Tversky loss functions, which is a hybrid loss function, has shown the best performance on ETT segmentation based on its ground truth with an IOU value of 0.8683.
Be prepared: online school experience and student achievement during the pandemic

During the COVID-19 pandemic it was clear that not all schools were equally prepared to adapt to the challenges of online learning. While many traditional public schools struggled to transition to remote teaching, cyber charter schools–which already had experience with full-time online learning–appeared to demonstrate superior academic performance and less learning loss. This success may be due in part to the greater experience of these schools with online teaching, as well as that the type of student enrolling in cyber charters changed. Further research and external peer review is necessary to confirm the validity of these findings, but in the face of uncertainty and change, it is essential that we approach education with an open mind and a willingness to consider all perspectives in order to find solutions that truly benefit our students.
Test and re-test reliability of optimal stimulation targets and parameters for personalized neuromodulation

Protocols have been proposed to optimize neuromodulation targets and parameters to increase treatment efficacies for different neuropsychiatric diseases. However, no study has investigated the temporal effects of optimal neuromodulation targets and parameters simultaneously via exploring the test–retest reliability of the optimal neuromodulation protocols. In this study, we employed a publicly available structural and resting-state functional magnetic resonance imaging (fMRI) dataset to investigate the temporal effects of the optimal neuromodulation targets and parameters inferred from our customized neuromodulation protocol and examine the test–retest reliability over scanning time. 57 healthy young subjects were included in this study. Each subject underwent a repeated structural and resting state fMRI scan in two visits with an interval of 6 weeks between two scanning visits. Brain controllability analysis was performed to determine the optimal neuromodulation targets and optimal control analysis was further applied to calculate the optimal neuromodulation parameters for specific brain states transition. Intra-class correlation (ICC) measure was utilized to examine the test–retest reliability. Our results demonstrated that the optimal neuromodulation targets and parameters had excellent test–retest reliability (both ICCs > 0.80). The test–retest reliability of model fitting accuracies between the actual final state and the simulated final state also showed a good test–retest reliability (ICC > 0.65). Our results indicated the validity of our customized neuromodulation protocol to reliably identify the optimal neuromodulation targets and parameters between visits, which may be reliably extended to optimize the neuromodulation protocols to efficiently treat different neuropsychiatric disorders.
Speech rehabilitation in children with cochlear implants using a multisensory (French Cued Speech) or a hearing-focused (Auditory Verbal Therapy) approach

Introduction Early exposure to a rich linguistic environment is essential as soon as the diagnosis of deafness is made. Cochlear implantation (CI) allows children to have access to speech perception in their early years. However, it provides only partial acoustic information, which can lead to difficulties in perceiving some phonetic contrasts. This study investigates the contribution of two spoken speech and language rehabilitation approaches to speech perception in children with CI using a lexicality judgment task from the EULALIES battery. Auditory Verbal Therapy (AVT) is an early intervention program that relies on auditory learning to enhance hearing skills in deaf children with CI. French Cued Speech, also called Cued French (CF), is a multisensory communication tool that disambiguates lip reading by adding a manual gesture. Methods In this study, 124 children aged from 60 to 140 months were included: 90 children with typical hearing skills (TH), 9 deaf children with CI who had participated in an AVT program (AVT), 6 deaf children with CI with high Cued French reading skills (CF+), and 19 deaf children with CI with low Cued French reading skills (CF-). Speech perception was assessed using sensitivity (d’) using both the hit and false alarm rates, as defined in signal-detection theory. Results The results show that children with cochlear implants from the CF- and CF+ groups have significantly lower performance compared to children with typical hearing (TH) (p < 0.001 and p = 0.033, respectively). Additionally, children in the AVT group also tended to have lower scores compared to TH children (p = 0.07). However, exposition to AVT and CF seems to improve speech perception. The scores of the children in the AVT and CF+ groups are closer to typical scores than those of children in the CF- group, as evidenced by a distance measure. Discussion Overall, the findings of this study provide evidence for the effectiveness of these two speech and language rehabilitation approaches, and highlight the importance of using a specific approach in addition to a cochlear implant to improve speech perception in children with cochlear implants.
Phosphorus solubilizing microorganisms: potential promoters of agricultural and environmental engineering

Phosphate solubilizing microorganisms (PSMs) are known as bacteria or fungi that make insoluble phosphorus in soil available to plants. To date, as beneficial microbes, studies on PSMs indicated they have potential applications in agriculture, environmental engineering, bioremediation, and biotechnology. Currently high cost and competition from local microbe are the most important factors hindering PSMs commercialization and application as for instance biofertilizer, soil conditioner or remediation agent, etc. There are several technical strategies can be engaged to approach the solutions of these issues, for instance mass production, advance soil preparation, genetic engineering, etc. On the other hand, further studies are needed to improve the efficiency and effectiveness of PSMs in solubilizing phosphates, promoting plant growth, soil remediation preferably. Hopefully, PSMs are going to be developed into ecofriendly tools for sustainable agriculture, environment protection and management in the future.
Considering the need for movement variability in motor imagery training: implications for sport and rehabilitation

COPYRIGHT © 2023 Lindsay, Spittle and Spittle. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Considering the need for movement variability in motor imagery training: implications for sport and rehabilitation
Recent advancements in the breeding of sorghum crop: current status and future strategies for marker-assisted breeding

Sorghum is emerging as a model crop for functional genetics and genomics of tropical grasses with abundant uses, including food, feed, and fuel, among others. It is currently the fifth most significant primary cereal crop. Crops are subjected to various biotic and abiotic stresses, which negatively impact on agricultural production. Developing high-yielding, disease-resistant, and climate-resilient cultivars can be achieved through marker-assisted breeding. Such selection has considerably reduced the time to market new crop varieties adapted to challenging conditions. In the recent years, extensive knowledge was gained about genetic markers. We are providing an overview of current advances in sorghum breeding initiatives, with a special focus on early breeders who may not be familiar with DNA markers. Advancements in molecular plant breeding, genetics, genomics selection, and genome editing have contributed to a thorough understanding of DNA markers, provided various proofs of the genetic variety accessible in crop plants, and have substantially enhanced plant breeding technologies. Marker-assisted selection has accelerated and precised the plant breeding process, empowering plant breeders all around the world.
Deep brain stimulation for patients with refractory epilepsy: nuclei selection and surgical outcome

Objective By studying the surgical outcome of deep brain stimulation (DBS) of different target nuclei for patients with refractory epilepsy, we aimed to explore a clinically feasible target nucleus selection strategy. Methods We selected patients with refractory epilepsy who were not eligible for resective surgery. For each patient, we performed DBS on a thalamic nucleus [anterior nucleus of the thalamus (ANT), subthalamic nucleus (STN), centromedian nucleus (CMN), or pulvinar nucleus (PN)] selected based on the location of the patient's epileptogenic zone (EZ) and the possible epileptic network involved. We monitored the clinical outcomes for at least 12 months and analyzed the clinical characteristics and seizure frequency changes to assess the postoperative efficacy of DBS on the different target nuclei. Results Out of the 65 included patients, 46 (70.8%) responded to DBS. Among the 65 patients, 45 underwent ANT-DBS, 29 (64.4%) responded to the treatment, and four (8.9%) of them reported being seizure-free for at least 1 year. Among the patients with temporal lobe epilepsy (TLE, n = 36) and extratemporal lobe epilepsy (ETLE, n = 9), 22 (61.1%) and 7 (77.8%) responded to the treatment, respectively. Among the 45 patients who underwent ANT-DBS, 28 (62%) had focal to bilateral tonic-clonic seizures (FBTCS). Of these 28 patients, 18 (64%) responded to the treatment. Out of the 65 included patients, 16 had EZ related to the sensorimotor cortex and underwent STN-DBS. Among them, 13 (81.3%) responded to the treatment, and two (12.5%) were seizure-free for at least 6 months. Three patients had Lennox–Gastaut syndrome (LGS)-like epilepsy and underwent CMN-DBS; all of them responded to the treatment (seizure frequency reductions: 51.6%, 79.6%, and 79.5%). Finally, one patient with bilateral occipital lobe epilepsy underwent PN-DBS, reducing the seizure frequency by 69.7%. Significance ANT-DBS is effective for patients with TLE or ETLE. In addition, ANT-DBS is effective for patients with FBTCS. STN-DBS might be an optimal treatment for patients with motor seizures, especially when the EZ overlaps the sensorimotor cortex. CMN and PN may be considered modulating targets for patients with LGS-like epilepsy or occipital lobe epilepsy, respectively.
Modulation of G-protein activation, calcium currents and opioid receptor phosphorylation by the pH-dependent antinociceptive agonist NFEPP

N-(3-fluoro-1-phenethylpiperidine-4-yl)-N-phenyl propionamide is a newly-designed pain killer selectively activating G-protein-coupled mu-opioid receptors (MOR) in acidic injured tissues, and therefore devoid of central side effects which are typically elicited at normal pH values in healthy tissues. However, the neuronal mechanisms underlying NFEPP’s antinociceptive effects were not examined in detail so far. Voltage-dependent Ca2+ channels (VDCCs) in nociceptive neurons play a major role in the generation and inhibition of pain. In this study, we focused on the effects of NFEPP on calcium currents in rat dorsal root ganglion (DRG) neurons. The inhibitory role of the G-protein subunits Gi/o and Gβγ on VDCCs was investigated using the blockers pertussis toxin and gallein, respectively. GTPγS binding, calcium signals and MOR phosphorylation were also investigated. All experiments were performed at acidic and normal pH values using NFEPP in comparison to the conventional opioid agonist fentanyl. At low pH, NFEPP produced more efficient G-protein activation in transfected HEK293 cells and significantly reduced VDCCs in depolarized DRG neurons. The latter effect was mediated by Gβγ subunits, and NFEPP-mediated MOR phosphorylation was pH-dependent. Fentanyl’s responses were not affected by pH changes. Our data indicate that NFEPP-induced MOR signaling is more effective at low pH and that the inhibition of calcium channels in DRG neurons underlies NFEPP’s antinociceptive actions.
Copositive quadratic forms and copositive matrices

The quadratic forms with variables varying on are copostive forms if they are nonnegative for all the variables.The corresponding matrices are called copositive matrices.It is a famous NP-complete problem to determine if a matrix is copostive.In this paper,the projective theorem is established by using solution matrices of homogeneous linear inequalities on.Furthermore,a complete decision algorithm QPSD is built,which is used to determine copositive quadratic forms.Equivalently,the algorithm of determining copositive matrices is got.
Beliefs, belief revision, and splitting languages

Much current work in the study of belief revision goes back to a now classic paper due to Alchourron, Gardenfors and Makinson [AGM]. The central issue is how to revise an existing set of beliefs T to a new set of beliefs T ∗A when a new piece of information A is received. If A is consistent with T , then it is easy: we just add A to T and close under logical inference to get the new set of beliefs. The harder problem is how to revise the theory T when a piece of information A inconsistent with T is received. Clearly, as Levi has suggested, T must first be contracted to a smaller theory T ′ = T • − ¬A which is consistent with A and then A added to T ′. However, it is not clear how T • − ¬A should be obtained. The mere deletion of ¬A from T will clearly not leave us with a theory and there is in general no unique way to get a theory T ′ which is contained in T and does not contain ¬A.
Some Observations on the Teaching of Statistical Consulting

In the past the training of statistical consultants has been largely empirical, consultants having often learned by an apprenticeship type procedure. It is suggested that much of the apprenticeship period involves time taken to learn salient facts about the consultee disciplines, facts which themselves could be imparted more systematically to an aspiring consultant. Accordingly it is suggested that the apprenticeship process could be beneficially complemented by systematized course-wise training in the principles and practices of statistical consulting. Some general and some particularly statistical aspects of consulting are then discussed towards implementing such a program for aspiring consultants in biological research. Amongst the general requirements noted are the ability to work in a team, contributing more than specifically statistical prowess, an understanding of the inductive scientific method and the ability to communicate in the relevant biological disciplines. The more statistical aspects are discussed in relation to the inductive scientific method of biological experimentation under the headings: objectives of the experiment and hypothesis formulation; plan and design; execution of experiments; statistical analyses; interpretation and inferences. Amongst several recommendations made here are that actual participation in experimentation would benefit aspiring consultants and that intensive seminar discussion of sound or video-tape prerecordings of actual consulting sessions would form an excellent component of the supplementary course instruction.
Prevalence of

Snake fungal disease, caused by Ophidiomyces ophidiicola, is recognized as a potential concern for North American snakes. We tested skin swabs from Northern Pine Snakes (Pituophis melanoleucus melanoleucus) in the New Jersey pinelands for the presence of O. ophidiicola before emergence from hibernation. We used qPCR to test the collected swabs for the presence of O. ophidiicola, then determined pathogen prevalence as a function of sampling year, sampling location (skin lesion, healthy ventral skin, healthy head skin) sex, and age. There were no temporal trends in O. ophidiicola detection percentages on snakes, which varied from 58 to 83% in different years. Ophidiomyces ophidiicola detection on snakes was highest in swabs of skin lesions (71%) and lowest in head swabs (29%). Males had higher prevalence than females (82% versus 62%). The fungus was not detected in hatchling snakes (age 0) in the fall, but 75% of juveniles tested positive at the end of hibernation (age 1 year). We also screened hibernacula soil samples for the presence of O. ophidiicola. Where snakes hibernated, 69% of soil samples were positive for O. ophidiicola, and 85% of snakes lying on positive soil samples also tested positive for the pathogen. Although a high proportion of snakes (73%) tested positive for O. ophidiicola during J. Burger (*) · K. Ng Division of Life Sciences, Rutgers University, 604 Allison Road, Piscataway, NJ 08854, USA e-mail: burger@dls.rutgers. edu J. Burger · M. Gochfeld Environmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, 170 Frelinghuysen Rd, Piscataway, NJ 08854, USA e-mail: mg930@eohsi.rutgers. edu M. Gochfeld Rutgers Biomedical and Health Sciences, Piscataway, NJ 08854, USA e-mail: mg930@eohsi.rutgers. edu R. Zappalorti · D. Schneider Herpetological Associates Inc, 405 Magnolia Rd, Pemberton, NJ 08068, USA e-mail: rzappalort@aol.com J. Bunnell · C. Jeitner New Jersey Pinelands Commission, 15 Springfield Rd, New Lisbon, NJ 08064, USA e-mail: john.bunnell@pinelands.nj. gov C. Jeitner e-mail: christian.jeitner@pinelands.nj. gov C. Jeitner Pinelands Field Station, Rutgers University, 501 4 Mile Road, New Lisbon, NJ 08064, USA E. DeVito New Jersey Conservation Foundation, 170 LongView Road,, Far Hills, NJ 07931, USA e-mail: emile@njconservation.org J. M. Lorch U.S. Geological Survey – National Wildlife Health Center, 6006 Schroeder Rd, Madison, WI 53711, USA e-mail: jlorch@usgs.gov Environ Monit Assess (2023) 195:662 1 3 662 Page 2 of 13 Vol:. (1234567890) our 4-year study, the snakes appeared healthy except for small skin lesions. We conclude that O. ophidiicola prevalence is high on hibernating Northern Pine Snakes and in the hibernacula soil, with a strong association between snakes and positive adjacent soil. This is the first demonstration that snakes likely become infected during hibernation.
Kepercayaan Generasi Z Dalam Menerima Sistem Informasi Kesehatan Mental di Indonesia

Abstract— Pandemi COVID-19 telah mengakibatkan tidak saja pada sisi fisik tapi juga mental dari para penduduk Indonesia. Tercatat bahwa Generasi Z merupakan kelompok usia yang paling banyak mengalami masalah yang berkaitan dengan psikologi, terutama kesehatan mental. Beberapa solusi telah diterapkan untuk mengatasi masalah ini, salah satunya dengan penggunaan sistem informasi kesehatan mental. Namun pada kenyataannya, implementasi dari sistem ini belum banyak teruji kebermanfatannya terutama bila dikaitkan dengan kepercayaan pengguna. Penelitian ini menggunakan model yang diadopsi dari TAM yang ditambahkan oleh variabel kepercayaan. Metode penelitian yang digunakan adalah kuantitatif dan menggunakan metode SEM-PLS sebagai alat analisisnya. Berdasarkan hasil analisis, didapatkan hanya tiga hipotesis yang diterima dan Kepercayaan ternyata tidak mempunyai pengaruh yang signifikan terhadap model penelitian yang diajukan.