Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Bottom Friction on Nonlinear Equilibration of an Oceanic Baroclinic Jet

Abstract Bottom friction is an important sink of energy in the ocean. Indeed, high-resolution ocean models need bottom friction to achieve a satisfactory kinetic energy level at equilibrium. However, bottom friction has also subtle and discriminating effects on the different energy transfers and therefore on the 3D structure of the flow, some of which have to be clarified. In this study, those effects on an unstable baroclinic jet are reexamined using a primitive equation model. As in previous studies using quasigeostrophic models, it was found that bottom friction strongly affects the barotropic mode whereas the baroclinic modes are weakly changed. The new result is that bottom friction yields a significant space-scale selection. Analysis of the dynamics reveals strong agreement with previous quasigeostrophic studies at the mesoscale in the interior but differences in the eddy field at small scales close to the surface. A rationalization of these results is proposed by a comparison with preceding atmosph.
Oral microbiome alterations in epilepsy and after seizure control

Background The existing diagnostic methods of epilepsy such as history collection and electroencephalogram have great limitations in practice, so more reliable and less difficult diagnostic methods are needed. Methods By characterizing oral microbiota in patients diagnosed with epilepsy (EPs) and patients whose seizures were under control (EPRs), we sought to discover biomarkers for different disease states. 16S rRNA gene sequencing was performed on 480 tongue swabs [157 EPs, 22 EPRs, and 301 healthy controls (HCs)]. Results Compared with normal individuals, patients with epilepsy exhibit increased alpha diversity in their oral microbiota, and the oral microbial communities of the two groups demonstrate significant beta diversity differences. EPs exhibit a significant increase in the abundance of 26 genera, including Streptococcus, Granulicatella, and Kluyvera, while the abundance of 14 genera, including Peptostreptococcus, Neisseria, and Schaalia, is significantly reduced. The area under the receiver operating characteristic curve (AUC) of oral microbial markers in the training cohort and validation cohort was 98.85% and 97.23%, respectively. Importantly, the AUC of the biomarker set achieved 92.44% of additional independent validation sets. In addition, EPRs also have their own unique oral community. Conclusion This study describes the characterization of the oral microbiome in EP and EPR and demonstrates the potential of the specific microbiome as a non-invasive diagnostic tool for epilepsy.
Effect of Mobilization with Movement on Pain, Disability, and Range of Motion in Patients with Shoulder Pain and Movement Impairment: A Systematic Review and Meta-Analysis

Background: Shoulder pain is a disabling musculoskeletal disorder worldwide. Thus, it is important to identify interventions able to improve pain and disability. Objective: To investigate the effects of mobilization with movement (MWM) on pain, disability, and range of motion in patients with shoulder pain and movement impairment. Methods: A systematic search of different databases was performed. The systematic review protocol has been registered in PROSPERO (CRD42023404128). A random-effects model for meta-analysis was used to determine the mean difference (MD), standardized mean differences (SMD), and 95% confidence interval for the outcome of interest. Results: Twenty-six studies were included. Of these, eighteen were included in the meta-analysis. MWM improved pain during movement with a moderate effect SMD of (−0.6; 95% confidence interval, −1.1 to −0.1, I2 = 0%; N = 66;) and shoulder abduction MD of (12.7°; 1.3 to 24.0; I2 = 73%; N = 90) compared to sham MWM in the short term (0–6 weeks). Combined MWM and conventional rehabilitation improved pain at rest, with a MD of (−1.2; −2.2 to −0.2; I2 = 61%; N = 100), and disability SMD of (−1.3; confidence interval −2.2 to −0.4; I2 = 87%; N = 185) compared to conventional rehabilitation alone in the short term. Combined MWM and conventional rehabilitation also resulted in improvement in shoulder abduction and external rotation. Compared to Maitland, MWM resulted in improvement in the shoulder abduction MD (20.4°; confidence interval 4.3 to 36.5; I2 = 89%; N = 130) in the short term. There is no information regarding long-term effects. Conclusion: Evidence suggests that MWM may reduce shoulder pain and restore shoulder range of motion and function. Our findings are promising, but the evidence is not strong enough to recommend it pragmatically.
A Resource-Efficient Coexistence Scheme for Massive Machine-Type and Human-to-Human Communications

The fifth-generation (5G) and beyond networks are expected to accommodate both the original human-to-human (H2H) communication and the emerging massive machine-type communication (mMTC). To enable a harmonious coexistence between the two different types of services, we propose a resource-efficient mMTC/H2H coexistence scheme by jointly considering the random access (RA) and data transmission, where the entire uplink resources are divided for the proposed RA and data transmission procedures. Based on the proposed scheme, we derive the average achievable throughput of the bursty mMTC service and develop a time-nonhomogeneous Markov chain model to characterize the joint state transition of H2H user equipments (HUEs). To tackle the cumbersome Markov model, we approximately decompose the constructed time-nonhomogeneous Markov model into multiple independent Markov chains, where each decomposed Markov chain characterizes one single HUE’s state transition. Then, the decomposed Markov model is transformed into a semi-Markov process and the corresponding steady-state condition is obtained based on the queueing network analysis for H2H service. By approximating the evolution of number of HUEs in different states as M/M/1 queues, we derive the stationary probabilities for the embedded Markov chain of the semi-Markov process and obtain the data transmission success probability of each HUE. Based on the abovementioned analytical framework, we formulate a constrained nonlinear integer programming (NLIP) problem to maximize the mMTC throughput under the constraints of H2H quality-of-service (QoS) stabilization and resource allocation. By adopting the modified particle swarm optimization (PSO) algorithm, we solve the formulated problem and obtain the efficient resource allocation strategy for the mMTC/H2H coexistence. Simulation results demonstrate that the developed analytical framework and modified PSO algorithm achieve close to the optimal mMTC/H2H coexisting performance and can be adapted to various network settings.
Multi-criteria decision support for drought security

identified a portfolio of drought response measures to ensure that the region does not run out of water under severe drought conditions. A multi-criteria decision analysis (MCDA) process was developed to guide the assessment of the drought response options against multiple criteria (both quantitative and qualitative), and for the assembly and analysis of drought response portfolios.
A Deep Learning Strategy for Multipath Ghosts Filtering via Microwave Tomography

Radar imaging algorithms generally exploit linear models of the electromagnetic scattering phenomenon. This assumption leads to qualitative and computationally effective data inversion schemes, which only account for direct scattering from targets, whereas multipath signal contributions are neglected. As a result, multipath ghosts, i.e., false targets reconstructed at positions where no real target exists, affect the radar images, thus preventing a reliable interpretation of the observed scene. This article proposes a fully data-driven deep learning (DL) approach based on a convolutional neural network (CNN) and microwave tomography to face this challenge. The approach achieves multipath ghost suppression for the case of small targets in terms of probing wavelength. In the proposed training scheme, the tomographic image affected by ghosts represents the input of the network while a ghost-free reconstruction is the output. Numerical simulations addressing the detection of metallic rebars via ground penetrating radar (GPR) are presented. As shown, the proposed ghost removal strategy is effective and robust to variations of the scenario parameters on which the network is trained. Finally, an experimental validation shows the effectiveness of the proposed strategy even in operative conditions.
Development of an SPRi Test for the Quantitative Detection of Cadherin 12 in Human Plasma and Peritoneal Fluid

A new method for the determination of cadherin 12 (CDH12)—an adhesive protein that has a significant impact on the development, growth, and movement of cancer cells—was developed and validated. The method is based on a biosensor using surface plasmon resonance imaging (SPRi) detection. A quartz crystal microbalance was used to analyze the characteristics of the formation of successive layers of the biosensor, from the linker monolayer to the final capture of CDH12 from solution. The association equilibrium constant (KA = 1.66 × 1011 dm3 mol−1) and the dissociation equilibrium constant (KD = 7.52 × 10−12 mol dm−3) of the anti-CDH12 antibody–CDH12 protein complex were determined. The determined analytical parameters, namely the values determining the accuracy, precision, and repeatability of the method, do not exceed the permissible 20% deviations specified by the aforementioned institutions. The proposed method is also selective with respect to possible potential interferents, occurring in up to 100-fold excess concentration relative to the CDH12 concentration. The determined Limit of Quantification (LOQ = 4.92 pg mL−1) indicates the possibility of performing quantitative analysis in human plasma or peritoneal fluid without the need to concentrate the samples; however, particular attention should be paid to their storage conditions, as the analyte does not exhibit high stability. The Passing–Bablok regression model revealed good agreement between the reference method and the SPRi biosensor, with ρSpearman values of 0.961 and 0.925.
Acceptance and Success of Oss Rba (Online Single Submission Risk Based Approach) Information System Using the Utaut Ii and Delone & Mclean Models

This research, conducted in South Sumatra Province, employs the Unified Theory of Acceptance and Use of Technology II (UTAUT II) and the DeLone & McLean Model to assess user satisfaction and system success in the OSS RBA implementation. This study utilized PLS-SEM software to model the research, employing a quantitative approach through Likert-scale questionnaires. The research focused on business actors in South Sumatra who registered their permits on the OSS RBA platform, where 41.129 businesses completed registration in 2022. Adhering to sampling criteria, the sample size was set at 250 samples to ensure credibility, balancing the number of parameters and indicators for latent variables, as 25 indicators were present. This research findings reveal that Performance Expectancy, Price Value, System Quality, and Service Quality significantly influence User Satisfaction, subsequently User Satisfaction significantly influence Net Benefit. Conversely, Effort Expectancy, Social Influence, and Information Quality do not significantly affect User Satisfaction. These insights provide a comprehensive understanding of the evolving business licensing landscape in South Sumatera Province
Low Pathogenic Avian Influenza H9N2 Viruses in Morocco: Antigenic and Molecular Evolution from 2021 to 2023

Avian influenza viruses pose significant threats to both the poultry industry and public health worldwide. Among them, the H9N2 subtype has gained substantial attention due to its high prevalence, especially in Asia, the Middle East, and Africa; its ability to reassort with other influenza viruses; and its potential to infect humans. This study presents a comprehensive phylogenetic and molecular analysis of H9N2 avian influenza viruses circulating in Morocco from 2021 to 2023. Through an active epidemiological survey, a total of 1140 samples (trachea and lungs) and oropharyngeal swabs pooled into 283 pools, collected from 205 farms located in 7 regions of Morocco known for having a high density of poultry farms, were analyzed. Various poultry farms were investigated (159 broiler farms, 24 layer farms, 10 breeder farms, and 12 turkey breeder farms). A total of 21 AI H9N2 strains were isolated, and in order to understand the molecular evolution of the H9N2 avian influenza virus, their genetic sequences were determined using the Sanger sequencing technique. Phylogenetic analysis was performed using a dataset comprising global H9N2 sequences to determine the genetic relatedness and evolutionary dynamics of the Moroccan strains. The results revealed the continued circulation and diversification of H9N2 avian influenza viruses in Morocco during the study period. Real-time RT-PCR showed a positivity rate of 35.6% (73/205), with cycle threshold values ranging from 19.2 to 34.9. The phylogenetic analysis indicated that all Moroccan strains belonged to a G1-like lineage and regrouped into two distinct clusters. Our newly detected isolates aggregated distinctly from the genotypes previously isolated in Morocco, North and West Africa, and the Middle East. This indicats the potential of virus evolution resulting from both national circulation and cross-border transmission. A high genetic diversity at both nucleotide and amino-acid levels was observed among all the strains isolated in this study, as compared to H9N2 strains isolated in Morocco since 2016, which suggests the co-circulation of genetically diverse H9N2 variants. Newly discovered mutations were detected in hemagglutinin positions 226, 227, and 193 (H3 numbering), which highlights the genetic evolution of the H9N2 AIVs. These findings contribute to our understanding of the evolution and epidemiology of H9N2 in the region and provide valuable insights for the development of effective prevention and control strategies against this emerging avian influenza subtype.
Decoding Chiari Malformation and Syringomyelia: From Epidemiology and Genetics to Advanced Diagnosis and Management Strategies

Chiari Malformation and Syringomyelia are neurosurgical entities that have been the subject of extensive research and clinical interest. Globally prevalent, these disorders vary demographically and have witnessed evolving temporal trends. Chiari Malformation impacts the normal cerebrospinal fluid flow, consequently affecting overall health. Key observations from canine studies offer pivotal insights into the pathogenesis of Syringomyelia and its extrapolation to human manifestations. Genetics plays a pivotal role; contemporary knowledge identifies specific genes, illuminating avenues for future exploration. Clinically, these disorders present distinct phenotypes. Diagnostically, while traditional methods have stood the test of time, innovative neurophysiological techniques are revolutionizing early detection and management. Neuroradiology, a cornerstone in diagnosis, follows defined criteria. Advanced imaging techniques are amplifying diagnostic precision. In therapeutic realms, surgery remains primary. For Chiari 1 Malformation, surgical outcomes vary based on the presence of Syringomyelia. Isolated Syringomyelia demands a unique surgical approach, the effectiveness of which is continually being optimized. Post-operative long-term prognosis and quality of life measures are crucial in assessing intervention success. In conclusion, this review amalgamates existing knowledge, paving the way for future research and enhanced clinical strategies in the management of Chiari Malformation and Syringomyelia.
Embracing virtual support: A phenomenological study on the lived experiences of Filipino guidance counselees during the Covid-19 pandemic

The Covid-19 pandemic profoundly impacted student and faculty well-being, necessitating a closer examination of guidance counselee experiences in virtual counseling. This research aims to address the unique challenges and benefits of virtual counseling during crises and improve guidance counseling delivery. This qualitative research explored the experiences and challenges of Filipino guidance counselees during virtual counseling amid the pandemic using phenomenological inquiry. Ten purposively selected participants underwent in-depth interviews, then the information was transcribed and analyzed thematically. Analysis revealed three major themes: Psychological struggles, challenges of virtual counseling, and the importance of virtual counseling. Participants discussed psychological struggles, pre-existing mental health conditions, and challenges like poor Internet connectivity. They emphasized the significance of virtual counseling for well-being. The findings underscore recognizing and addressing counselees' psychological struggles during the pandemic. Effective support must mitigate challenges like technological literacy and resource constraints. Virtual counseling maintains connections despite social distancing restrictions. This research provides valuable insights into guidance counselee experiences during the Covid-19 pandemic in the Philippines. It emphasizes embracing virtual counseling advantages while addressing specific challenges. Policymakers and school leaders should recognize counselor expertise and provide comprehensive support. Further research is recommended to develop interventions for different age groups and educational levels. Understanding and supporting guidance counselees to promote mental health and overall development.
Evaluating the environmental policy of valley metropolis in Northwest China——A case study of Lanzhou

According to the connotation of valley-basin city and the causes of urban environment problems, this paper adopts the Environmental Kuznets Curve,a commonly used metrological model in environment- economics,to analyze the evolving process of the economic growth and the environmental pollution in Lanzhou during the past 20 years and thus provides a quantitative basis for evaluating environment.It then makes a preliminary evaluation of the three aspects,i.e.the effect of environmental policy,the cost of environmental policy and economic growth.
Wabamun, Bakken equivalent Exshaw and Banff formations in core, cuttings and outcrops from southern Alberta

The Exshaw and lower Banff display a tripartite gamma ray character and lithologies similar to those of the stratigraphic equivalent Bakken in the Williston Basin and the Sappington in Montana, hence the name “Alberta Bakken”. The “Bakken” name holds promise of a ubiquitous (tight) oil play. The Alberta Bakken term was initially reserved for the shales of the Exshaw and Banff and the medial Exshaw dolomitic siltstone, but has recently been expanded to include the underlying Stettler, Big Valley and the overlying Banff formations. The Stettler and Banff formations have historic production from vertical wells in the area. The best producer 10-30-008-23w4 has no core over the reservoir interval, but cuttings show 12 to 15m of porous micro-sucrosic dolomite reservoir in the Stettler, but in contrast, dense dolomitic siltstone with sporadic microporosity in the medial Exshaw siltstone. The 10-30 Stettler production of almost 250.000 barrels since 1979, is used by industry for production forecasting (type curves) as a comparison to the Bakken. Cuttings and thin sections from the 10-30 “type Bakken producer” were compared in terms of lithology, thicknesses, and textures to surrounding wells and outcrops in the mountains. Outcrop and cores demonstrate that the Stettler reservoir is widespread yet not continuous.
Validation and Comparison of Four Mortality Prediction Models in a Geriatric Ward in China

Purpose The efficacy of mortality risk prediction models among older patients in China remains uncertain. We aimed to validate and compare the performances of the Walter Index, Geriatric Prognostic Index (GPI), Charlson Comorbidity Index (CCI), and FRAIL Scale in predicting 1-year all-cause mortality post-discharge in geriatric inpatients in China. Patients and Methods This study was conducted at a geriatric ward of a tertiary Hospital in Beijing, including patients aged 70 years or older with a documented comprehensive geriatric assessment, discharged between January 1, 2016, and December 31, 2021. Patients with a hospital stay ≤24 h or >60 days were excluded. All-cause mortality data within one year of discharge were collected from medical files and telephone interviews between August 2022 and February 2023. Multiple imputation, Logistic regression analysis, Brier scores, C-statistics, Hosmer-Lemeshow goodness-of-fit-test, and calibration plots were employed for statistical analysis. Results We included 832 patients with a median (interquartile range) age of 77 (74–82) years. One-hundred patients (12.0%) died within one year. After adjusting for covariates—marital status, social support, cigarette use, length of stay, number of medications, hemoglobin levels, handgrip strength, and Short Physical Performance Battery—CCI scores of 3–4 and >4, and increased Walter Index, GPI, and FRAIL Scale scores were significantly associated with 1-year mortality risk. The Brier scores varied from 0.07 (Walter Index) to 0.10 (FRAIL Scale). The C-statistic ranged from 0.74 (95% confidence interval, 0.69–0.78) for FRAIL Scale to 0.88 (95% confidence interval, 0.84–0.91) for the Walter Index. Calibration curves showed that the Walter Index, GPI, and FRAIL Scale were well calibrated, while the CCI was poor. Conclusion Combining the Brier score, discrimination and calibration, the Walter Index was confirmed for the first time to be the best model to predict the 1-year mortality risk of geriatric inpatients in China among the four models.
Pharmacologic Inhibition of Transient Receptor Potential Ion Channel Ankyrin 1 Counteracts 2-Chlorobenzalmalononitrile Tear Gas Agent–Induced Cutaneous Injuries

Deployment of the tear gas agent 2-chlorobenzalmalononitrile (CS) for riot control has significantly increased in recent years. The effects of CS have been believed to be transient and benign. However, CS induces severe pain, blepharospasm, lachrymation, airway obstruction, and skin blisters. Frequent injuries and hospitalizations have been reported after exposure. We have identified the sensory neuronal ion channel, transient receptor potential ankyrin 1 (TRPA1), as a key CS target resulting in acute irritation and pain and also as a mediator of neurogenic inflammation. Here, we examined the effects of pharmacologic TRPA1 inhibition on CS-induced cutaneous injury. We modeled CS-induced cutaneous injury by applying 10 μl CS agent [200 mM in dimethyl sulfoxide (DMSO)] to each side of the right ears of 8- to 9-week-old C57BL/6 male mice, whereas left ears were applied with solvent only (DMSO). The TRPA1 inhibitor HC-030031 or A-967079 was administered after CS exposure. CS exposure induced strong tissue swelling, plasma extravasation, and a dramatic increase in inflammatory cytokine levels in the mouse ear skin. We also showed that the effects of CS were not transient but caused persistent skin injuries. These injury parameters were reduced with TRPA1 inhibitor treatment. Further, we tested the pharmacologic activity of advanced TRPA1 antagonists in vitro. Our findings showed that TRPA1 is a crucial mediator of CS-induced nociception and tissue injury and that TRPA1 inhibitors are effective countermeasures that reduce key injury parameters when administered after exposure. Additional therapeutic efficacy studies with advanced TRPA1 antagonists and decontamination strategies are warranted. SIGNIFICANCE STATEMENT 2-Chlorobenzalmalononitrile (CS) tear gas agent has been deployed as a crowd dispersion chemical agent in recent times. Exposure to CS tear gas agents has been believed to cause transient acute toxic effects that are minimal at most. Here we found that CS tear gas exposure causes both acute and persistent skin injuries and that treatment with transient receptor potential ion channel ankyrin 1 (TRPA1) antagonists ameliorated skin injuries.