Miracle-dz/UniFAR-FTUs huggingface dataset:
Infant-type hemispheric glioma occurring at the cervicomedullary region in a 5-month-old infant: A case report with a special emphasis on molecular classification

Background: High-grade gliomas in infancy are uncommon and have different clinical and molecular characteristics from those in adults. Recently, advances in molecular diagnostics have made progress in determining treatment strategies; however, the robust treatment has not yet been elucidated. We, herein, present a case of infantile glioma occurring at the cervicomedullary region. Case Description: A 5-month-old infant developed left upper limb weakness and torticollis at 3 months of age. Magnetic resonance imaging revealed T2 hyperintensity from the medulla oblongata to the upper cervical cord. She underwent a biopsy for the lesion and pathological examination findings confirmed the presence of a high-grade astrocytoma with IDH wildtype-, H3K27M wildtype-, BRAF wildtype-, and ETV-NTRK3 fusion-positivity. Postoperatively, she underwent chemoradiotherapy, but she had marked tumor growth during the treatment. According to the new World Health Organization classification, the patient’s tumor is an infantile “hemispheric” glioma. Conclusion: The characteristics and prognosis of NTRK-fused glioma are not fully understood, it is noteworthy that these tumors commonly occur in the brainstem. Further studies are needed to determine the prognosis of each tumor type and its sensitivity to treatment. This information will help in the reclassification of the tumors and identification of the precise treatment of this rare type of tumor.
Interactive Experience Design of Traditional Dance in New Media Era Based on Action Detection

In the stage of dance image creation, advanced sci & tech can lay a technical foundation for it, and at the same time give dance art digital characteristics. On the basis of successful motion capture and feature extraction, action detection automatically recognizes dance movements by analyzing the obtained dance movement feature parameters. The timely introduction of dance creation computer-aided design (CAD) system can continuously provide diversified visual modes for dance creators. This text takes the cross-border integration of dance art and sci & tech as the context, takes "interactive dance" under the new media technology as the breakthrough point, combines deep learning (DL) and CAD technology to realize dance action recognition and virtual reality (VR) digital modeling, and explores the design method of traditional dance interactive experience from the perspective of new media. Simulation results show that the accuracy and efficiency of this model are improved compared with traditional algorithms, and it can achieve good recognition accuracy with low parameters. The results verify the superiority of this model, which can improve the interactive experience of traditional dance performance and creation with the support of VR and CAD technology.
Position-Free Breath Detection During Sleep via Commodity WiFi

In recent years, contactless sleep breath detection using WiFi signals has gained significant attention. In this article, we present a position-free breath detection system that utilizes the channel state information (CSI) from a pair of WiFi devices. To address the “blind-spot” issue, we propose a robust detection method that takes advantage of both the amplitude and phase of the CSI ratio, ensuring comprehensive coverage for breath detection. We also utilize the periodicity and variability features to select the most suitable breath pattern from the resulting signals. To mitigate the noise interference in nonideal sleep positions, we propose a novel principal component analysis-variational mode decomposition (PCA-VMD) fusion method to fully exploit the complementary advantage of sensing over different TX–RX pairs. In this way, we can extract the fine breath frequency component for the breath rate estimation. Extensive experiments are conducted to demonstrate the superiority of the proposed scheme to the existing state of the arts.
Deep Learning-Assisted Channel Estimation in Frequency Selective UWA Communication Systems

Envisioned future wireless gives rise to the possibility of exploiting underwater applications with high spectral efficiency and reliable communication. This paper presents a method to combine channel estimation in the time domain with neural networks and supervised learning to improve orthogonal frequency-division multiplexing (OFDM) systems in underwater communications. The pilot structure is designed in such a way that the propagation channels are tracked from symbol to symbol. Moreover, the low-density parity-check code (LDPC) channel coding method is applied to overcome the severe fading and attenuation effects in underwater acoustic environments. We consider this proposed system’s performance in a measurement-based channel model to evaluate it. In particular, the system’s performance is evaluated for different levels of channel mobility. Numerical results show that, with the assistance of deep learning, the channel estimation performance can be improved, depending on how fast the channel changes. Compared with state-of-the-art benchmarks, our proposal offers better system performance in terms of bit error ratio and normalized mean square error.
Comparison of the 200 hPa circulation in CSM and CCM3 simulations and NCEP and ERA reanalysis: seasonal cycle and interannual variation

In this paper the monthly mean vorticity and divergence at 200 hPa are compared from four data sources: The NCEP/NCAR reanalyses 1958 through 1994, the ECMWF (ERA) reanalyses, 1979 through 1994, a NCAR CCM3 integration using prescribed SSTs from 1979 through 1993, and the NCAR CSM 300 year integration. The NCEP, ERA and CCM3 all provide data for the period 1979 through1993. The timescales examined are the annual cycle and interannual variations. The annual mean vorticity of the ERA and NCEP match very closely. The annual cycle is likewise close except in the eastern equatorial Pacific and Indian Ocean. Compared to the reanalyses, the models have adequate annual means but suffer in the depiction of the annual cycle in the regions of the jet maxima and in some regions of the Tropics. The CSM appears to inherit errors from the CCM3 and apparently add some new ones. The annual mean divergence shows a much larger difference between the reanalyses. This is most pronounced in the Tropics especially over the African and South American land masses. The models also show large differences, with the CSM being an outlier in the tropical Pacific. For many tropical and extratropical locations even the annual cycle is not well defined between the NCEP and ERA reanalysis. The NCEP, ERA, CCM3 and CSM agree with respect to the variance of the monthly mean vorticity. The variance for low pass filtered data is too large in the ENSO regions for the CCM3, but too small for the CSM. Both models tend to underestimate the low frequency variance in midlatitudes. The ERA has substantially more monthly variance in the divergence than the NCEP data, especially over the tropical South America and Africa and the dateline. Both models have variance more on the order of the ERA, and have an anomalous maximum in the eastern Indian Ocean, the CSM much more so. The CSM shifts the maxima in the equatorial Pacific from 180 seen in the reanalyses to 150E. If anything the CCM 3 appears to be too sensitive to SST anomalies, which exacerbates the poor ocean simulation in the tropical Pacific. There are errors in the CCM3 integration which foreshadow, deficiencies in the CSM integration, so the ocean is not solely at fault. The amount of disagreement between the ERA and NCEP divergence fields on the time scales of the annual cycle and low frequency variations indicates that this field is poorly defined, and in some regions unknown
Pre-Existing Allergies Patients with Higher Viral Load and Longer Recovery Days Infected by SARS-CoV-2 Omicron BA.2 in Shanghai, China, 2022

Background It is not known whether the viral load and the number of days to negative nucleic acid increased in patients with a history of allergy during the COVID-19 pandemic. Objective To investigate the impact of allergy labels on SARS-CoV-2 Omicron outcomes. Methods This retrospective cohort study included 62,293 patients with mild Omicron infection between April 9, 2022, and May 31, 2022. Using 1:2 propensity score matching, we identified 2177 COVID-19 patients with a history of allergy and 4254 COVID-19 patients with no history of allergy. The differences in viral load, days to nucleic acid turning negative, and clinical symptoms were compared between the two groups. Results Compared with the group with no allergies, the number of days before negative nucleic acid conversion of COVID-19 patients with allergies was significantly higher, the viral load was significantly higher, and the cumulative negative conversion rates at 5–10 days were all lower (p < 0.01). Patients with a history of allergy to antibiotics had higher viral load and more days with negative nucleic acid levels (p < 0.001). Subgroup analysis revealed that the viral load in penicillin-allergic and cephalosporins-allergic patients was significantly compared to patients without any history of allergies (p < 0.05). Conclusion Patients with a history of allergy have a more significant viral load and a longer duration of nucleic acid negative conversion upon COVID-19 infection, particularly those allergic to antibiotics.
Adaptive Fuzzy Backstepping Dynamic Surface Control of Strict-Feedback Fractional-Order Uncertain Nonlinear Systems

This paper presents a novel adaptive fuzzy backstepping dynamic surface control (DSC) scheme for a class of single-input single-output strict-feedback fractional-order uncertain nonlinear systems. The controlled systems contain unknown nonlinear functions and unknown external disturbances. Fuzzy logic systems are employed for approximating the unknown nonlinear functions. Further, an auxiliary function is introduced into the control function to simultaneously compensate the unknown external disturbance and the approximation error caused by fuzzy approximation, which erases the possible chattering phenomenon in the existing results. Meanwhile, a new DSC method based on the fractional-order filter is proposed to avoid the issue of explosion of complexity inherent in the backstepping procedure, which releases the limitation that the fractional-order derivative of the intermediate control function needs to be completly known in the existing references. Under certain assumptions, the stability of the closed-loop system is proved by using the fractional-order Lyapunov function stability criterion. Finally, contrastive simulation results are provided to validate the effectiveness of our proposed control strategy.
Long‐Lived (180 Myr) Ductile Flow Within the Great Slave Lake Shear Zone

The Great Slave Lake shear zone (GSLsz) is a type example for deeply eroded continental transform boundaries located in the Northwest Territories, Canada. Formed during the oblique convergence of the Archean Rae and Slave cratons, the GSLsz has accommodated up to 700 km of dextral shear. Here we present the results of in situ U‐Pb apatite and titanite geochronology from 11 samples that were collected across the strike of the shear zone. Both geochronometers record a near‐continuous history of ductile shear during crustal cooling and exhumation that spans ca. 1920–1740 Ma. By integrating the geochronological data with structural and metamorphic observations across the structure, we propose a tectonic model for the shear zone that consists of three stages. The first stage (ca. 1920–1880 Ma) is characterized by strain accommodation along two coeval fault strands. During the second stage (ca. 1880–1800 Ma), ductile shear ceases along the northernmost fault strand and the locus of strain migrates southwards toward the hinterland of the Rae cratonic margin. In the third stage (ca. 1800–1740 Ma), ductile strain localizes back along the southern of the two original fault strands, after which the present‐day surface level of the shear zone transitions to brittle shear. Our results highlight both the significance of the lateral migration of the zone of active deformation in major crustal shear zones as well as the localization of strain along existing crustal structures.
TransSentLog: Interpretable Anomaly Detection Using Transformer and Sentiment Analysis on Individual Log Event

Event logs play a crucial role in monitoring the status of IT systems. These logs contain text that describes how a system operates using natural language, which can be associated with sentiment polarity. When a system is functioning correctly, event logs generally convey positive sentiment. However, if unexpected behaviors like errors or failures occur, negative sentiment can be detected. In order to identify anomalies in individual log messages without the need for log parsing, we propose TranSentLog. This method combines Transformer and sentiment analysis, leveraging the sentiment polarity of event logs. To gain a better understanding of the model predictions, we employ Integrated Gradients, an attribution method that extracts important features from the model inputs. Through extensive experimentation on public system log datasets, we demonstrate that our proposed method overcomes the limitations of existing approaches and achieves F1 scores of 99.73% on trained datasets and 94.99% on untrained datasets.
In vitro propagation of Cydonia oblonga cv. Esme

: Quince ( Cydonia oblonga ) is a pome fruit belonging to the Rosaceae family and is produced in temperate climates. The popularity of quince fruit is increasing year by year. It is likely to become a highly popular fruit in the near future. Quince fruit and its leaves are rich in bioactive compounds. In addition to providing significant health benefits, different parts of the plant are an important source of raw materials, with applications in the health and pharmaceutical sectors. Micropropagation is a methodology that shortens the time required for sapling material propagation in the field and allows for the breeding of species via genetic improvement. In this study, an in vitro propagation protocol for Cydonia oblonga cv . Esme is described for the first time. Apical shoot tips were used as explants. Effective sterilization was achieved with 20% NaClO (12 min). In terms of nutrition medium performance, MS (
Assessment of Formal Institutions Across the Timber Value Chain in Liwale and Ruangwa Districts, Tanzania

: In developing an inclusive and sustainable timber value chain, institutions are important for structuring and governing the interactions of the actors to effect value creation and addition to timber products. Therefore, this study aims at assessing the rules and regulations awareness, enforcement, compliance and costs associated with the timber value chain in Liwale and Ruangwa districts, Tanzania. Data collection methods for this study includes key informant interviews and researcher’s own observations. Secondary Data were also gathered from various sources from within and outside the districts. Findings reveal that most people were aware of the rules and regulations involved in value chain but their level of awareness differed depending on factors like education level that an individual timber dealer had, time of exposure in the timber business and the goals that each one had on their business. Enforcement of the rules and regulations was found to be strong in Liwale compared to Ruangwa district. In addition, the compliance of the rules and regulations was high in Liwale than in Ruangwa. However, most of the actors who are timber dealers complained about high costs which is associated with compliance to the rules and regulations governing their businesses. Therefore, increasing awareness so that actors could comply with the laws and regulation could help in solving these challenges in Ruangwa district. Reducing costs and bureaucracy associated with the implementation of the rules and regulation governing timber value chain in both districts will increase benefits and efficiency in timber value chain Tanzania. Findings of this study may be beneficial to policy makers, developmental partners, other stakeholders and the people working along the timber value chain.
Joint Optimization of Longitudinal and Lateral Locations of Autonomous-Vehicle-Dedicated Lanes on Expressways

Appropriate deployment of autonomous-vehicle-dedicated lanes (AVDLs) is crucial for optimizing transportation system with mixed human-driven and autonomous vehicles. Existing studies mainly focus on matching the capacity and traffic flow volume to maximize throughput under different AV penetration rate, while lane changing scenarios and network geometry impacts were ignored. Therefore, the lateral locations in optimal deployment on expressway cannot be determined. This study developed an analysis framework to jointly optimize the longitudinal and lateral locations of AVDLs on expressways. The problem is formulated as a bi-level optimization model. In the lower level, a lane-level multiclass equilibrium assignment model is built to predict traffic flow distribution among lanes on both longitudinal and lateral locations regarding AVDL deployment plan. In the upper level, a 0–1 integer programming model is established to obtain the optimal deployment plan of the AVDL with minimal total travel time (TTT). Additionally, a problem-specific heuristic-based adaptive large neighborhood search algorithm is developed to solve the problem. The advantages of the proposed model are validated in North–South Elevated Expressway, Shanghai, China. Results indicate that the proposed framework outperforms existing methods in terms of TTT reduction. Finally, sensitivity analysis demonstrates the robustness of the developed method in reducing the TTT under different headways, demand levels, and OD distributions. The proposed framework enables the optimal deployment of AVDLs regarding both longitudinal and lateral locations in urban expressways containing multiple on- and off-ramps, which supports decision-making for managing expressway with mixed HV and AV traffic flow.
Opterećenost teškim metalima i s njima povezani zdravstveni rizici potrošača ruževa za usne dostupnih na tržištu u Republici Hrvatskoj

Cilj: Budući da tragovi metala nisu deklarativno navedeni na kozmetičkim proizvodima, posebice ruževima za usne, nameće se potreba za utvrđivanjem njihove prisutnosti i analizom toksikoloških učinaka. Ovim istraživanjem analizirala se prisutnost i raspodjela metala Cr, Cd, Ni, Pb te Cu i Zn u ruževima za usne. Materijali i metode: Analizirano je 100 uzoraka ruževa za usne različitih proizvođača ovisno o zemlji proizvodnje (Europska unija - EU, Kina, Ujedinjeno Kraljevstvo – UK i nepoznato podrijetlo). Udjeli metala određeni su analitičkom tehnikom ICP-MS. Rezultati: Rezultati skupnih podataka ukazuju na dominaciju Pb u opterećenosti metalima (indeks IOM) uzoraka ruževa za usne, kod uzoraka proizvođača EU-a dominira utjecaj Pb i Zn, dok kod proizvođača s područja Kine najjači utjecaj na IOM ima Cr. Predloženi linearni prediktivni model ukazuje na to da u skupnim uzorcima i onima s različitih područja dominaciju ostvaruje Cd, iako i Pb ima znatnu ulogu kao opterećujući metal. Ni je prisutan kao toksikant u svim uzorcima osim onih s područja Kine, dok Cr znatnu ulogu ima jedino kod proizvođača iz EU-a. Uspoređujući sa zakonskom regulativom, udjeli analiziranih metala niži su od utvrđenih maksimalno dopuštenih koncentracija (MDK) za pojedine metale, osim uzoraka proizvođača s područja Kine gdje je detektiran viši udio Ni od propisanih vrijednosti MDK. Zaključci: Rezultati studije pokazuju da, bez obzira na sadržaj toksičnih metala u kozmetičkim proizvodima, treba obratiti pažnju na dugoročan period njihove primjene te slab indeks eliminacije iz organizma. Poradi sigurnosti primjene kozmetičkih proizvoda nameće se potreba za kontinuiranim praćenjem opterećenosti teškim metalima, kao i redovitom kontrolom generiranih zdravstvenih rizika pri uporabi takvih proizvoda.
Desmin Reorganization by Stimuli Inducing Oxidative Stress and Electrophiles: Role of Its Single Cysteine Residue

The type III intermediate filament proteins vimentin and GFAP are modulated by oxidants and electrophiles, mainly through perturbation of their single cysteine residues. Desmin, the type III intermediate filament protein specific to muscle cells, is critical for muscle homeostasis, playing a key role in sarcomere organization and mitochondrial function. Here, we have studied the impact of oxidants and cysteine-reactive agents on desmin behavior. Our results show that several reactive species and drugs induce covalent modifications of desmin in vitro, of which its single cysteine residue, C333, is an important target. Moreover, stimuli eliciting oxidative stress or lipoxidation, including H2O2, 15-deoxy-prostaglandin J2, and CoCl2-elicited chemical hypoxia, provoke desmin disorganization in H9c2 rat cardiomyoblasts transfected with wild-type desmin, which is partially attenuated in cells expressing a C333S mutant. Notably, in cells lacking other cytoplasmic intermediate filaments, network formation by desmin C333S appears less efficient than that of desmin wt, especially when these proteins are expressed as fluorescent fusion constructs. Nevertheless, in these cells, the desmin C333S organization is also protected from disruption by oxidants. Taken together, our results indicate that desmin is a target for oxidative and electrophilic stress, which elicit desmin remodeling conditioned by the presence of its single cysteine residue.
Comprehensive Evaluation of Robust and Tight Integration of UWB and Low-Cost IMU

With the rapid development of the Internet of Things (IoT), indoor positioning method with characters of high accuracy, continuity, and reliability has become an urgent requirement. Although the global satellite navigation system (GNSS) can provide that information in open-sky conditions, it still cannot work in GNSS-denied environments. To counteract the drawbacks of GNSS and conventional low-accuracy indoor technologies, this article presents a credible indoor positioning system with integrating ultrawide-band (UWB) measurements and low-cost inertial navigation system (INS) tightly. Based on such a system, the impacts of non-line-of-sight (NLOS) errors, the distribution of UWB base stations, the number of UWB base stations, and the rate of UWB data on UWB/INS tight integration are evaluated comprehensively by analyzing three sets of experimental data and several groups of simulated data. Results demonstrate that: 1) UWB/INS integration upgrades UWB positioning accuracy significantly, with decimeter-level positioning accuracy in the horizontal component and meter-level accuracy in the vertical direction while using the UWB/INS tight integration model; 2) the influences of the geometry structure of the UWB base station on the performance of UWB and the UWB/INS loose integration are obvious, and such an influence on the performance of the UWB/INS tight integration is slight; 3) the positioning accuracy of UWB/INS tight integration increases gradually along with the rate of UWB data; and 4) the presented method shows visible repression of the influence of NLOS errors on UWB/INS tight integration.