Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of a group-based music imagery program on promoting coping resources among undergraduate students: a pilot randomized controlled trial

Background Music is well-known for its stress-reducing effects. Little is known about the potential effect of music interventions in fostering internal coping resources for stress management among undergraduate students in Hong Kong. Objectives This pilot study aimed to examine the efficacy of the Group-based Focus Music Imagery Program (GFMI) in promoting a stress-is-enhancing mindset, sense of coherence, and self-compassion among undergraduate students. Methods We used a two-arm parallel randomized controlled trial (RCT). The experimental arm received 6 weeks of GFMI with measures taken at two time points after completing baseline assessments (Weeks 6, 10). The control arm received 6 weeks of an active control program and completed the outcome measures at time points similar to the GFMI group. Data were collected using the Chinese versions of the Sense of Coherence Scale (C-SOC-13), the Self-Compassion Scale-Short Form (C-SCS-SF), the Stress Mindset Measure (C-SMM), the Perceived Stress Scale (C-PSS-10), and the Generalized Anxiety Disorder scale (C-GAD-7). Results Sixty-four participants were randomly assigned to either the experimental group (n = 32) or the control group (n = 32) between July 2021 and September 2022. The experimental group exhibited a retention rate of 71.9% at T1 (23 out of 32 participants), which slightly decreased to 65.6% (21 out of 32) at T2. The control group displayed a retention rate of 75% (24 out of 32) at T1, which dropped to 43.8% (14 out of 32) at T2. The GEE analyses showed insignificant differences between groups at any time point in C-SOC-13, C-SCS-SF, and C-SMM. Instead, the control group had a higher reduction in stress scores (C-PSS-10) at T1, and anxiety (C-GAD-7) at T2 than the experimental group. Conclusion The pilot trial provided valuable information in examining the feasibility of the trial design and intervention. Future studies with larger samples are needed to validate if GFMI can reliably promote coping resources to manage stress and anxiety in undergraduate students. Trial registration number https://www.researchregistry. com/, researchregistry8209.
Photometry of the Earth from Mariner 2

The earth tracking system aboard the Mariner 2 spacecraft has collected photometric observations of the earth as a by-product of its navigational duties on the flight to Venus. The observations show good agreement with the phase curve for the earth that was previously found by observing the earth-lit moon. Diurnal variations in brightness are correlated with the fraction of the earth's disk covered by land.
Optimization of delignification depth of wood surfaces for skin polymer impregnation

Abstract We controlled the degree of surface delignification of a wood specimen to impart functionality to its surface and injected a polymer into the porous structure to investigate using it as a functional material. Generally, balsa wood is used in studies aiming to impart functionality through polymer impregnation. However, we used a native Korean tree (Paulownia tomentosa), which has the lowest specific gravity. Peracetic acid (acetic acid and hydrogen peroxide mixture) was used as the delignification solution. Changes in wood surface properties were analyzed according to the delignification treatment duration. Changes in chemical composition, functional groups, cell wall structure, specific gravity, and pores were also observed. Depending on the delignification time, the specific gravity decreased from 0.24 to 0.12. The lignin content was reduced from 29.2% to 0.9%. Fourier Transform Infrared Spectroscopy revealed changes in the lignin functional groups (1 591, 1 507, and 1 240 cm−1), and changes in functional groups derived from hemicellulose (1 720 and 1 182 cm−1). Epoxy infiltration depth was adjusted according to delignification treatment depth to impart wood surface functionality. Our research results indicated that strength and durability could be improved by selectively impregnating polymers into the wood surface requiring functionality, unlike chemically modifying the entire interior of the wood.
Real-Time Stride Length Estimation Using Textile-Based Capacitive Soft Strain Sensors

Stride length estimation (SLE) is a fundamental component of pedestrian dead reckoning (PDR) in indoor navigation and positioning (INP) applications. The knowledge of stride length is crucial for determining the distances covered by pedestrians and estimating their position in real time. In this study, we proposed a real-time SLE method using innovative textile-based capacitive strain sensors (TCSSs) attached to knee pads. The SLE performance of the capacitive sensors was compared with smartphone inertial measurement units (IMUs), and the results were reported. We applied a supervised SLE approach by creating labeled gait data from participants who wore sensors and walked along controlled paths created with predetermined stride lengths. An adaptive stride detection (ASD) algorithm was developed to handle data diversity resulting from varying participant characteristics. Furthermore, we investigated the contribution of gait phase features (GPFs) to SLE. The proposed model achieved impressive outcomes with a mean absolute error (MAE) of 8.73 cm, showcasing its significance in accurate real-time SLE.
Study on the inversion model for the suspended sediment concentration in remote sensing technology

On the basis of the remote sensing theories,we get the spectrum and the concentration,and at the same time make sure of the correlation of the data simultaneously,then work out the remote sensing reflectance of ETM+ imagery relevant to the spectrum instrument.The photoelectricity instrument works out the suspended sediment concentration. Four kinds of the experiment models are derived from the correlation of the reflectance and the concentration.The results show that the ratio of TM_4 to TM_1 has the best correlation with the concentration,therefore we can make use of the model to derive suspended sediment distribution.
Optimal Design of Single-Layer and Multi-Layer Air-Core Inductors Considering Uncertainty Factors

Air-core inductors are key components in power converters and measurement equipment. To optimally design inductors, their self-resonant frequency (SRF) as a result of inherent stray capacitance should be accurately estimated. This paper presents optimal design procedures for air-core inductors, considering constraints such as SRF and inductor volume. To this end, a methodology is proposed to estimate the variability of stray capacitances, accounting for various uncertainty factors. Specifically, for single-layer air-core inductors, an empirical expression is adopted and experimentally verified to provide better predictions compared to the commonly used physical-based approach. For multi-layer air-core inductors, an enhanced analytical approach based on the energy-conservation method is proposed, which considers the impact of five influence factors. Two key factors (the proximity effect and the variation of turn length) are investigated by FEM simulations and incorporated into the enhanced models. The other three factors (the effective permittivity of the wire insulation coating, the winding tightness, and the electric field path assumption) are taken into account as uncertainty factors, leading to statistical estimates of the stray capacitance and SRF. Finally, two samples are fabricated for single- and multi-layer air-core inductors, which agree well with the design specifications, proving the effectiveness of the proposed design methodology.
Energy Based Route Prioritization for Optimum Multi-path Selection

Energy–aware routing in wireless ad hoc networks is one of the demanding fields of research. Nodes of the network are battery operated that are difficult to recharge and replace, that's why while developing a routing protocol energy consumption metric should always be at high priority. Nodes of mobile ad hoc networks are distributed in different directions forming arbitrary topology instantly. To propose an energy-efficient routing protocol for such a dynamic, self-organized, self-configured, and self-controlled network is certainly a challenge and an open research problem. Energy constraints and mobility leading to link breakage are the motivating factors behind the development of the proposed Optimized Priority-based Ad Hoc on Demand Multi-path Distance Vector Energy Efficient Routing Protocol (OPAOMDV-EE). The routing protocol added three fields (CE, MAX_E, MIN_E) to the traditional AOMDV RREQ and RREP packets, which are further used for calculating total priority field value. This value is used by the source node for selecting an optimal prioritized energy-efficient route. The proposed OPAOMDV-EE protocol has been simulated on Network Simulator-2 (NS-2) for two different scenarios that prove the effectiveness of OPAOMDV-EE in terms of various performance metrics with reduced energy consumption.
Cartilage’s Contribution in Otology: A Comprehensive Review of Its Role in Ear Surgery

This comprehensive review thoroughly examines the pivotal role of cartilage in otologic surgery, elucidating its multifaceted contributions to both cosmetic and functional outcomes. From reconstructing the external ear to reinforcing the tympanic membrane and restoring the ossicular chain, cartilage emerges as a versatile and resilient biological material with unique properties that make it an invaluable resource for otologic surgeons. The review explores the nuances of cartilage's applications in various surgical contexts, emphasizing its significance in promoting tissue regeneration and healing. The text delves into advancements in tissue engineering, biodegradable scaffolds, and 3D printing technology, pointing toward a future where more precise and personalized interventions may redefine the landscape of otologic surgery. The convergence of these innovations holds the promise of elevating the standard of care, minimizing complications, and improving the quality of life for patients undergoing cartilage-based otologic procedures. This synthesis of current knowledge and future possibilities provides a valuable resource for otologists, surgeons, and researchers in the dynamic field of otology.
Combined Classical and Flooding Molecular Dynamics Simulations of The Mip-Rapamycin and FKBP12-Rapamycin Complexes

Macrophage infectivity potentiator (Mip) protein, an essential virulence factor encoded by pathogenic bacteria such as Legionella pneumophila, arises as an interesting new therapeutic target for novel antimicrobials. However, Mip- ligands also interact with FKBP12 protein, a human FKBP exhibiting immunosuppressive effects. Therefore, these ligands are unsuitable antibiotics. Understanding the dynamics and conformations of proteins in the binding pocket is important to predict binding properties and to design new binders for different FKBPs. We performed the 40 ns combined classical and flooding molecular dynamics simulations using additional flooding potential for Mip-rapamycin and FKBP12-rapamycin complexes. Both complexes have different flexibilities and dihedral angle principal component analysis calculated from MD trajectories. As a result, the Mip-rapamycin complex had more conformations than the FKBP12-rapamycin complex. These different features of both complexes at the binding pocket will provide new dues for the design of selective inhibitors of Mip proteins
Complete tibial nerve lesion secondary to postoperative popliteal pseudoaneurysm following anterior cruciate ligament arthroscopic reconstruction: A series of two patients

Background: Complications following arthroscopic anterior cruciate ligament reconstruction (ACLR) are rare, but injuries to the popliteal artery can occur. Popliteal pseudoaneurysms are a potential complication and can cause significant morbidity if not diagnosed and treated promptly. Cases Description: We describe the cases of two patients who developed nerve injuries following arthroscopic ACLR, with subsequent diagnosis of a popliteal pseudoaneurysm. The peroneal nerve recovered spontaneously in both cases, while the tibial nerve was reconstructed using autologous nerve grafting. Satisfying, functional recoveries were observed 24 months postoperatively. Conclusion: Prompt diagnosis and effective treatment of popliteal pseudoaneurysms are crucial to prevent further complications. However, timely diagnosis can be challenging due to inconsistent clinical presentations and a low index of suspicion. This case report highlights the need for increased awareness of this uncommon complication and provides insights into its pathophysiological mechanisms.
PHYSICOCHEMICAL PROPRIETIES OF LIPASE FROM NEWLY STREPTOMYCES SP. OLIVE POMACE ISOLATE

Screening of new producing strains is required to meet the constant industrial demand for useful enzymes. In this context, an actinobacteria was isolated from the olive pomace, tested for extracellular lipase production, and identified by partial 16S rDNA sequencing. Then, the physicochemical characteristics of the enzyme are determined. Strain is a member of Streptomyces genus. Lipase was partially purified at 62.5 times, with a yield of 14.83% and a specific activity of 337.5 U/mg. Optimum activity was achieved at pH 7.0 and 60°C; it was completely preserved at pH 6.0 to 9.0, and more than 70% at 40 to 70°C, after 1 hour. The metal ions: K+, Na+, Ca2+, Co2+, Cu2+, Fe2+, Mg2+, Mn2+, and Zn2+ had no significant impact. Lipase activity was stable with ethylene diamine tetra acetic acid (EDTA), sodium dodecyl sulfate (SDS), H2O2, Triton x100, and Tween 80. Moreover, it was enhanced in butanol, chloroform, ethyl acetate, isopropanol, isobutyl acetate, hexane, petrol ether, and toluene. This enzyme can be suitable for various industrial applications.
Does Downscaling Improve the Performance of Urban Ozone Modeling?

Increasing the model resolution is expected to be one way for improving air quality forecasts in urban areas. In this study, we evaluate the model performance in a large city at various resolutions to examine the best resolution for air pollution simulations. The comparison with measurements at a station near the traffic emissions shows the advantage of using high resolutions for capturing the extreme values. The statistical evaluation indicates that the highest model resolution (33 m) provides the best results for NOX concentration distributions near the traffic roads, while the improvement for roadside O3 with decreasing grid spacing stops at a certain point. The best model performance for the areas with a distance to the pollution sources is with the resolution of 100–300 m, at which the transport errors are equivalent to the emission biases.
Cardioprotective and Antifibrotic Effects of Low-Dose Renin–Angiotensin–Aldosterone System Inhibitors in Type 1 Diabetic Rat Model

Diabetic cardiovascular complications are associated with up to 50% mortality, and current therapies are not effective enough. Renin–angiotensin–aldosterone system inhibitors (RAASis) are the standard of care for diabetic patients with hypertension and albuminuria. Based on our previous studies reporting the renoprotective effects of low-dose RAASis, here, we hypothesized that low-dose RAASi treatment has cardioprotective and antifibrotic benefits in type 1 diabetes mellitus (T1DM). After five weeks of T1DM, adult male Wistar rats received low doses of ramipril, losartan, or eplerenone for two weeks. Heart rate, blood pressure, and pulse wave velocity (PWV) were recorded. Aortic intima–media thickness (IMT), collagen accumulation, and myocardial fibrosis were assessed. All RAASis reduced PWV elevation, prevented the progression of myocardial fibrosis, and normalized B-type natriuretic peptide, troponin I, and fibroblast growth factor 23 levels without affecting blood pressure. Interestingly, only eplerenone reversed the decline in Klotho levels and reduced IMT and fibrosis in the media of the aorta. Our comparative analysis suggests that mineralocorticoid receptor antagonists, particularly eplerenone, may offer superior efficacy in halting both the arterial and the myocardial injuries in T1DM compared to angiotensin-converting enzyme inhibitors or angiotensin II type 1 receptor blockers.
Computational Modeling of Thermal Ablation Zones in the Liver: A Systematic Review

Simple Summary Thermal ablation is an established treatment for primary and secondary liver tumors. As ablation treatment planning is a fast-emerging field, accurate and patient-specific ablation zone simulation may contribute to higher efficacy of thermal ablation. Computational modeling could facilitate these simulations. This systematic review aims to identify, evaluate, and summarize the findings of the literature on existing computational models for thermal liver ablation planning and compare their accuracy. The literature shows a wide variety of computational modeling and validation methods. Additional research, with a focus on shape-based outcome metrics, is warranted to determine which model demonstrates superior accuracy and suitability for clinical practice. More insight into parameter personalization is required to enable patient-specific ablation planning. Abstract Purpose: This systematic review aims to identify, evaluate, and summarize the findings of the literature on existing computational models for radiofrequency and microwave thermal liver ablation planning and compare their accuracy. Methods: A systematic literature search was performed in the MEDLINE and Web of Science databases. Characteristics of the computational model and validation method of the included articles were retrieved. Results: The literature search identified 780 articles, of which 35 were included. A total of 19 articles focused on simulating radiofrequency ablation (RFA) zones, and 16 focused on microwave ablation (MWA) zones. Out of the 16 articles simulating MWA, only 2 used in vivo experiments to validate their simulations. Out of the 19 articles simulating RFA, 10 articles used in vivo validation. Dice similarity coefficients describing the overlap between in vivo experiments and simulated RFA zones varied between 0.418 and 0.728, with mean surface deviations varying between 1.1 mm and 8.67 mm. Conclusion: Computational models to simulate ablation zones of MWA and RFA show considerable heterogeneity in model type and validation methods. It is currently unknown which model is most accurate and best suitable for use in clinical practice.
Uncertainty Quantification and Interval Prediction of Equipment Remaining Useful Life Based on Semisupervised Learning

With the rapid development of sensing technology, deep learning (DL) methods have gained great popularity in remaining useful life (RUL) prediction of equipment. However, DL-based prediction methods generally cannot quantify uncertainties or provide reliable prediction intervals (PIs) for RUL. To tackle this problem, this article proposes an ensemble framework for uncertainty quantification and interval prediction of RUL based on semisupervised learning. First, the prediction variance is used to represent the aleatoric uncertainty, and a weighted negative log-likelihood loss function is designed to help the DL model to provide both the prediction value and the variance, thereby quantifying the aleatoric uncertainty in RUL prediction. For the issue that variance labels are difficult to obtain, the DL model is trained in a semisupervised manner to learn the prediction variance caused by data noise. Next, the Bootstrap method is applied to sample the training data with replacement to obtain several subsets, and several DL models are trained by these subsets, thereby quantifying the epistemic uncertainty in RUL prediction. Furthermore, PIs with 95% confidence are calculated based on these uncertainties to achieve RUL interval prediction of equipment. Finally, experiments are conducted on the turbofan engine dataset and CNC machine tool dataset, and the validity of the proposed method is confirmed.
Social Science in the Russian Far East. Understanding Protected Area Visitors

A common justification for developing ecotourism opportunities within protected areas is that it helps to secure long-term conservation of wildlife and habitats and contributes to local socioeconomic development. Since establishment of Russia's first protected area in 1916, Russia has developed the world's largest system of strictly protected nature reserves (zapovedniks) and sanctuaries (zakazniks). Most tourism had been prevented in these areas until federal law changed to permit educational tourism. Russian nature-reserve administrators hope it will lead to greater public involvement and public and financial support. Because little is known about the attitudes of local community residents and visitors in Russia toward protected areas, conservation efforts, and tourism practices, the present study describes stakeholders' attitudes and knowledge in the South-Kamchatka Sanctuary, in Far East Russia. A positive evaluation of the purposes of the protected area, both by visitors and community members, was found. However, some negative attitudes and experiences were identified as well, caused mostly by the lack of effective interaction between protected area managers and stakeholders.
Oxygen and carbon isotopic "dissection" of Baculites compressus (Mollusca: Cephalopoda) from the Pierre Shale (Upper Campanian) of South Dakota: Implications for paleoenvironmental reconstructions

A systematic stable isotopic study of an exceptionally well-preserved Baculites compressus specimen from the Pierre Shale (Upper Campanian) of South Dakota was conducted to assess whether the variations recorded in the calcareous shells of baculitids can be used as a reliable indicator of paleoenvironmental conditions. We sampled the B. compressus conch along four sampling profiles: (1) an ontogenetic traverse parallel to growth direction, (2) a virtually isochronous traverse along two different lirae delineated by growth lines, (3) a septal traverse, and (4) a shell-wall traverse through the conch wall. To date, the ontogenetic sequence is the longest record produced from baculitids. We interpret the isotopic variations determined from the ontogenetic, septal, and depth-profile traverses to be dominated by an environmental signal, especially in shell material deposited prior to septal crowding (i.e., maturity). In contrast, we interpret the isotopic variations determined from the isochronous traverse along the two different lirae to be altered by "biological vital effects. " Our results indicate that a careful sampling strategy that avoids strongly ornamented areas of the shell is required if a "true" paleoenvironmental signal is to be extracted from the calcareous shells of baculitids, and perhaps other ammonites as well. Our best estimate of seasonal seawater-temperature variation in the Late Campanian Western Interior Seaway at 42 degrees N, based on the oxygen isotopic data from the baculitid specimen, is 10.0 degrees C (range of 29.7 degrees C to 19.7 degrees C).