jimnoneill/paper-to-field-training huggingface dataset:
Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Post Translational Modification (PTM) is defined as the alteration of protein sequence upon interaction with different macromolecules after the translation process. Glutarylation is considered one of the most important PTMs, which is associated with a wide range of cellular functioning, including metabolism, translation, and specified separate subcellular localizations. During the past few years, a wide range of computational approaches has been proposed to predict Glutarylation sites. However, despite all the efforts that have been made so far, the prediction performance of the Glutarylation sites has remained limited. One of the main challenges to tackle this problem is to extract features with significant discriminatory information. To address this issue, we propose a new machine learning method called BiPepGlut using the concept of a bi-peptide-based evolutionary method for feature extraction. To build this model, we also use the Extra-Trees (ET) classifier for the classification purpose, which, to the best of our knowledge, has never been used for this task. Our results demonstrate BiPepGlut is able to significantly outperform previously proposed models to tackle this problem. BiPepGlut achieves 92.0%, 84.8%, 95.6%, 0.82, and 0.88 in accuracy, sensitivity, specificity, Matthew's Correlation Coefficient, and F1-score, respectively. BiPepGlut is implemented as a publicly available online predictor.
Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies

Field: Medicine (Health Sciences)

To promote uniformity in measuring adherence to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement, a reporting guideline for diagnostic and prognostic prediction model studies, and thereby facilitate comparability of future studies assessing its impact, we transformed the original 22 TRIPOD items into an adherence assessment form and defined adherence scoring rules. TRIPOD specific challenges encountered were the existence of different types of prediction model studies and possible combinations of these within publications. More general issues included dealing with multiple reporting elements, reference to information in another publication, and non-applicability of items. We recommend our adherence assessment form to be used by anyone (eg, researchers, reviewers, editors) evaluating adherence to TRIPOD, to make these assessments comparable. In general, when developing a form to assess adherence to a reporting guideline, we recommend formulating specific adherence elements (if needed multiple per reporting guideline item) using unambiguous wording and the consideration of issues of applicability in advance.
[The vestibulo-cervico-ocular reflex in healthy persons].

Field: Neuroscience (Life Sciences)

The vestibular-cervical-ocular reflex (VCOR) results from interaction of the labyrinthine and cervical proprioceptive afferent flows. VCOR study was performed in 20 healthy test subjects. Analyzed were the coefficient of reactivity, VCOR phase shift, coefficient of COR involvement, and the coefficient of VOR-VCOR asymmetry. Functional dependence of cervical proprioceptive and vestibular afferentation in the healthy test subjects was demonstrated.
Effect of Jingluoshu Capsule for Activating Blood Circulation to Remove Blood Stasis,its Action of Anti-inflammation and Analgesic in Diabetic Rats

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Objective:To investigate the effect of Jingluoshu Capsule for activating blood circulation to remove blood stasis(ABCRBS),and its analgestic and anti-inflammatory action in diabetic rats.Method:High,medium and low dose groups of Jingluoshu Capsule,1.4,0.7,0.35 g·kg-1in rats and 2.8,1.4,0.7 g·kg-1in mice accordingly,were established.,Positive medicine(Tangmaikang Grannules) was ig given once daily at the dose of 2.5 g·kg-1.The diabetic rat model was established by intraperitoneal injection of streptozotocin(STZ) in Wistar rats.The animals were randomly divided into normal control group,model control group,positive medicine control group,positive control group of Chinese medicine,high,medium and low dose groups of.Jingluoshu Capsule.of the efficacy of the drugs was evaluated with hemorrheological parameters,anti-inflammation and analgestic tests.Result:Jingluoshu Capsule could decrease the whole blood viscosity at high shear rate,show inhibitory action on the increase in capillary permeability induced by histamine.The capsule significantly inhibited the formation of granuloma induced with cotton ball.After 30 and 60 minutes of administration,it could prolong the time of first licking feet in the hot-plate test in mice and increase the pain threshold.The capsule could also significantly decrease the number of twisting body induced by acetic acid in mice,showing a significant analgesic effect.Conclusion:Jingluoshu Capsule has significant effect of activating blood circulation to remove blood stasis,and anti-inflammatory,analgestic actions in diabetic rats.
Syndactyly Release

Field: Medicine (Health Sciences)

Syndactyly is one of the most common congenital hand anomalies treated by pediatric plastic surgeons. Established principles of syndactyly separation dictate the timing and order of syndactyly release, with the goals of surgery being the creation of an anatomically normal webspace, tension-free closure of soft tissue, and return of function to the fingers. Numerous surgical methods have been described, many of which involve the use of local flaps to reconstruct the commissure and full-thickness skin grafts for coverage of raw areas. Recently, reconstructive techniques without the use of skin grafts have been devised, which work well for certain indications. Special considerations are described for complete, complex, and syndromic syndactylies. Outcomes for simple syndactyly release are typically good when surgical principles are followed, whereas complex syndactyly release tends to have less-favorable outcomes and more complications.
Inflammatory conditions and cytokines and their roles in the regulation of heme and drug metabolism

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

It has been well known that inflammation leads to the decreased ability of drug metabolism in human and animals.Since many inflammatory and anti-inflammatory cytokines produced under the inflammatory conditions,their possible roles in the regulation of drug metabolizing enzymes,specifically cytochrome P450s(CYPs),have been examined to date.Lipopolysaccharide (LPS) produces many cryokines and decreases drug medabolism.LPS is also a potent inducer of heme oxygenase(HO-1).We found that LPS produced the induction of HO-1 via TNFα rather than IL-1,be employing each cytokine knockout mice.Additionally,arthritis model mice exhibited the increase in HO-1 without any changes in total CYP content.Effects of chemicals on HO-1 and CYPs in cytokine knockout mice will also be discussed.
2D Stacks of MXene Ti3C2 and 1T‐Phase WS2 with Enhanced Capacitive Behavior

Field: Materials Science (Physical Sciences)

Abstract MXene‐based materials play an important role in the field of energy storage devices, owing to their layered structure with gravimetric/volumetric capacitances higher than that of graphene. However, owing to their tendency to bond to hydrogen or due to van der Walls forces, their performance is often reduced by the restacking of layers and subsequent reduction of their active surface area. In this work, we investigate the charge storage capacitance enhancement after inserting 1T‐phase WS 2 nanospacers into the matrix of MXene Ti 3 C 2 through a simple sonication‐assisted procedure, forming a 2D stack structure. We demonstrated that each exfoliation step enhances the capacitive behavior when compared to the starting MAX phase (Ti 3 AlC 2 ). This new sandwich material shall have profound influence on the construction of 2D materials‐based supercapacitors.
Chemical Seed Priming as a Simple Technique to Impart Cold and Salt Stress Tolerance in Capsicum

Field: Agricultural and Biological Sciences (Life Sciences)

Seed priming is a pre-germination strategy that improves seed performance and overcomes the negative effects associated with stress exposure. Seeds of capsicum (Capsicum annuum L.) cv. California Wonder were primed with warm water (WW, 40°C); CuSO4 (CU, 5mM), potassium nitrate (PN, 300 mM), and polyethylene glycol, PEG-6000 (PG, 16.7 mM), along with hydropriming (NW) and unsoaked (US) control to study the effect of seed priming. The seed priming significantly increased the rate as well as percentage of seed germination. Further, survival response of the seedlings obtained from primed seeds was better than the control on subsequent exposure to salt (NaCl 200 mM) or cold (4°C) stress for 10 days. All the plants obtained from potassium nitrate-primed seeds survived the salt-stress exposure, whereas those obtained from PEG-primed seeds tolerated both the cold and salt stresses. The control seedlings did not survive exposure to either stress. In addition, the growth performance of the plants obtained from primed seeds was better than control, suggesting chemical seed priming was a cost-effective and eco-friendly approach for developing cold or salt-stress tolerance in capsicum.
DEFECT SEGMENTATION TECHNIQUES FOR CERAMIC WALL TILE

Field: Computer Science (Physical Sciences)

This paper discussed the image processing algorithms that can be used to segment defects from the acquired ceramic tiles image. The paper proposed two gray-level threshold algorithms, a fixed threshold algorithm and an adoptive interpolating threshold algorithm. The two thresholding algorithms are tested across a set of test images and their performance compared using the area under receiver operator characteristic curves. The experimental results showed that the fixed threshold algorithm produces the receiver operator characteristic curve that encloses the greatest area and provides promising results in preference to the adaptive threshold algorithm.
Nonconventional thermal states of interacting bosonic oligomers

Field: Physics and Astronomy (Physical Sciences)

There has recently been a growing effort to understand the physics and intricate dynamics of many-body and many-state (multimode) interacting bosonic systems in a comprehensive manner. For instance, in photonics, nonlinear multimode fibers are being intensely investigated nowadays due to their promise for ultrahigh-bandwidth and high-power capabilities. Similar prospects are being pursued in connection with magnon Bose-Einstein (BE) condensates, and ultracold atoms in periodic lattices for room-temperature quantum devices and quantum computation, respectively. While it is practically impossible to monitor the phase space of such complex systems (classically or quantum mechanically), thermodynamics has succeeded in predicting their thermal state: the Rayleigh-Jeans (RJ) distribution for classical fields and the BE distribution for quantum systems. These distributions are monotonic and promote either the ground state or the most excited mode. Here, we demonstrate the possibility to advance the participation of other modes in the thermal state of bosonic oligomers. The resulting nonmonotonic modal occupancies are described by a microcanonical treatment, while they deviate drastically from the RJ/BE predictions of canonical and grand-canonical ensembles. Our results provide a paradigm of ensemble equivalence violation and can be used for designing the shape of thermal states. Published by the American Physical Society 2024
Strong rainbow connection numbers of toroidal meshes

Field: Mathematics (Physical Sciences)

In 2011, Li et al. [The (strong) rainbow connection numbers of Cayley graphs on Abelian groups, Comput. Math. Appl. 62(11) (2011) 4082–4088] obtained an upper bound of the strong rainbow connection number of an [Formula: see text]-dimensional undirected toroidal mesh. In this paper, this bound is improved. As a result, we give a negative answer to their problem.
A Statistical Language Modeling Approach to Online Deception Detection

Field: Computer Science (Physical Sciences)

Online deception is disrupting our daily life, organizational process, and even national security. Existing approaches to online deception detection follow a traditional paradigm by using a set of cues as antecedents for deception detection, which may be hindered by ineffective cue identification. Motivated by the strength of statistical language models (SLMs) in capturing the dependency of words in text without explicit feature extraction, we developed SLMs to detect online deception. We also addressed the data sparsity problem in building SLMs in general and in deception detection in specific using smoothing and vocabulary pruning techniques. The developed SLMs were evaluated empirically with diverse datasets. The results showed that the proposed SLM approach to deception detection outperformed a state-of-the-art text categorization method as well as traditional feature-based methods.
Paremaeter Determination Of A Vehicle 5-Dof Model To Simulate Occupant Deceleration In A Frontal Crash

Field: Engineering (Physical Sciences)

This study has investigated a vehicle Lumped Parameter Model (LPM) in frontal crash. There are several ways for determining spring and damper characteristics and type of problem shall be considered as system identification. This study use Genetic Algorithm (GA) procedure, being an effective procedure in case of optimization issues, for optimizing errors, between target data (experimental data) and calculated results (being obtained by analytical solving). In this study analyzed model in 5-DOF then compared our results with 5-DOF serial model. Finally, the response of model due to external excitement is investigated.
IL-6-Mediated Upregulated miRNAs in Extracellular Vesicles Derived from Lund Human Mesencephalic (LUHMES) Cells: Effects on Astrocytes and Microglia

Field: Neuroscience (Life Sciences)

Psychological stress plays a major role in depression, and interleukin-6 (IL-6) is elevated during depression and psychological stress. MicroRNAs (miRNAs) in extracellular vesicles (EVs), including exosomes and microvesicles, suppress mRNA expression in other cells when endocytosed. In this study, we analyzed the effect of IL-6 on EVs secreted by neural precursor cells. Cells from the human immortalized neural precursor cell line LUHMES were treated with IL-6. EVs were collected using a nanofiltration method. We then analyzed the uptake of LUHMES-derived EVs by astrocytes (ACs) and microglia (MG). Microarray analysis of miRNAs was performed using EV-incorporated RNA and intracellular RNA from ACs and MG to search for increased numbers of miRNAs. We applied the miRNAs to ACs and MG, and examined the cells for suppressed mRNAs. IL-6 increased several miRNAs in the EVs. Three of these miRNAs were originally low in ACs and MG (hsa-miR-135a-3p, hsa-miR-6790-3p, and hsa-miR-11399). In ACs and MG, hsa-miR-6790-3p and hsa-miR-11399 suppressed four mRNAs involved in nerve regeneration (NREP, KCTD12, LLPH, and CTNND1). IL-6 altered the types of miRNAs in EVs derived from neural precursor cells, by which mRNAs involved in nerve regeneration were decreased in ACs and MG. These findings provide new insights into the involvement of IL-6 in stress and depression.
Preparation, Structure, and Redox Behavior of Bis(diarylmethylene)dihydrothiophene and Its π-Extended Analogues

Field: Chemistry (Physical Sciences)

The preparation, X-ray structure, and optoelectronic properties of bis(diarylmethylene)dihydrothiophene 1 and its π-extended analogues 2 are described. The development of a simple, short-step synthetic route allowed us to prepare derivatives with different aryl units. X-ray crystallographic analysis of 1b and 2b revealed their quinoidal structures, which exhibit strong electronic absorption in the visible region. Cyclic voltammetry measurements revealed their strong electron-donating properties. 1b showed two-step electrochromic behavior between the corresponding radical cation and dication.
Brunjes' reliable seeds : 50th anniversary, 1882 1932 /

Field: Agricultural and Biological Sciences (Life Sciences)

Fifty years ago, in a small store at 1581 Myrtle Avenue, just a half block from our present location, Air.Alartin H. Brunjes started the seed business now known as Al.FI.Brunjes & Sons.At that time we were in the midst of a farming district and our business was largely with market-gardeners.However, in later years land nearby became too valuable for farming, and we were soon in the heart of a growing city.It has always been our aim to secure only the best seeds obtainable, regardless of price, and it is due to this policy that we have so many satisfied customers today and were able to erect the modern building at 1581 Gates Avenue.To our customers who have by their patronage helped to develop our business, and thereby contributed to our success, we are very grateful.Trusting you will favor us with your valued orders, which will have our personal and most careful attention, we are Yours very truly,
Disease Detection System

Field: Computer Science (Physical Sciences)

A type of machine learning called supervised learning uses labelled training data to teach computers how to forecast the outcome. The labeled data denotes that some input data has been already marked with the correct output. This training data acts as a supervisor, guiding the machines to accurately forecast the output, akin to a teacher supervising a student. The objective of supervised learning is to provide a machine-learning model with correct input and output data. The method seeks a mapping function that connects the input variable (x) to the output variable (y). The spread of numerous diseases through common means such as air and touch has become a significant concern, particularly during the COVID-19 pandemic. The Disease Detection System employs supervised learning to address this challenge by detecting diseases with just a few clicks on the software. In the future, the input-based prediction system could be extended to an im-age-based prediction system.
Recent Breakthroughs in the Antioxidant and Anti-Inflammatory Effects of Morella and Myrica Species

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Oxidative stress is one of the risk factors for the development of several chronic diseases, such as diabetes, cancer, cardiovascular and neurodegenerative diseases. Antioxidants are therefore highly sought and can be seen as a type of preventive medicine against several diseases. Myrica and Morella genus (Myricaceae) are taxonomically very close and their species are trees or shrubs with edible fruits that exhibit relevant uses in traditional medicine, for instance in Chinese or Japanese folk medicine they are used to treat diarrhea, digestive problems, headache, burns and skin diseases. Nearly 36 compounds were isolated from different morphological parts of Myrica and/or Morella species and their antioxidant and anti-inflammatory activities evaluated. Thirteen of these compounds exhibit greater effects than the positive controls used. Adenodimerin A was the most active compound reported (in a 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay EC50= 7.9 ± 0.3 µM). These results are just one aspect of the antioxidant and anti-inflammatory evaluations reported regarding Myrica and Morella species, so a comprehensive overview on the current status, highlighting the antioxidant health promoting effect of these species, their key antioxidant compounds as well as the compounds with protective effects against oxidative stress related diseases such as inflammation, is relevant.
Active Flash: Out-of-core data analytics on flash storage

Field: Computer Science (Physical Sciences)

Next generation science will increasingly come to rely on the ability to perform efficient, on-the-fly analytics of data generated by high-performance computing (HPC) simulations, modeling complex physical phenomena. Scientific computing workflows are stymied by the traditional chaining of simulation and data analysis, creating multiple rounds of redundant reads and writes to the storage system, which grows in cost with the ever-increasing gap between compute and storage speeds in HPC clusters. Recent HPC acquisitions have introduced compute node-local flash storage as a means to alleviate this I/O bottleneck. We propose a novel approach, Active Flash, to expedite data analysis pipelines by migrating to the location of the data, the flash device itself. We argue that Active Flash has the potential to enable true out-of-core data analytics by freeing up both the compute core and the associated main memory. By performing analysis locally, dependence on limited bandwidth to a central storage system is reduced, while allowing this analysis to proceed in parallel with the main application. In addition, offloading work from the host to the more power-efficient controller reduces peak system power usage, which is already in the megawatt range and poses a major barrier to HPC system scalability. We propose an architecture for Active Flash, explore energy and performance trade-offs in moving computation from host to storage, demonstrate the ability of appropriate embedded controllers to perform data analysis and reduction tasks at speeds sufficient for this application, and present a simulation study of Active Flash scheduling policies. These results show the viability of the Active Flash model, and its capability to potentially have a transformative impact on scientific data analysis.
The Implementation of Online Learning for Economic Education Students at the University

Field: Social Sciences (Social Sciences)

The purpose of this study was to determine and analyze the implementation of online learning on university students majoring in economic education at Halu Oleo University, Kendari. This type of research was a case study research. The informants in this study consisted of Economic Education students who were taken using the Purposive Sampling technique (n=100 students). The data were collected through questionnaires, interviews and documentation. The data analysis used data reduction, data presentation, and conclusion. Test the validity of the data using triangulation techniques. The findings of this study were the implementation of online learning for Economic Education students was as follows: the learning applications most often used by Economic Education students were zoom meetings, WhatsApp groups and google classroom. Regarding the availability of learning time, students felt that it was enough, although it cannot be denied that sometimes it was also not enough. To access online learning, Economics Education students used a private packet connection type with less stable network quality. Economic education students' learning readiness was quite good, but the concentration and involvement of students were not good and the ability to understand learning materials is also still lacking. This study concluded that online learning in university could be used a variation of device technology which was designed by a teacher or used from the internet.