Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the experience of meaning-centered group psychotherapy among Chinese cancer patients during active treatment: a descriptive qualitative study

Objective Meaninglessness poses a significant psychological challenge for cancer patients, negatively affecting their quality of life and increasing the risk of suicide. Meaning-Centered Group Therapy (MCGP) is an intervention designed specifically to enhance the meaning of life of cancer patients. Extensive research has documented its effectiveness across various cultures and populations. However, limited research has been conducted on the subjective experiences and perspectives of participants engaged in MCGP. Thus, the purpose of this study was to employ a qualitative design to explore the experiences and viewpoints of Chinese cancer patients who have undergone MCGP. Methods Within a two-week timeframe following the conclusion of MCGP, semi-structured interviews were administered to twenty-one participants who had engaged in the therapy. The interview data were transcribed and subjected to thematic analysis. Results Four main themes were identified: (a) Self-perceived personal change, (b) Overall experience of group therapy, (c) Barriers to participation of MCGP, and (d) Suggestions for future interventions. Conclusion Despite the barriers to participation in the MCGP process, the overall experience for Chinese cancer patients undergoing active treatment is valuable and positive, providing multiple benefits. Future studies could explore the adaptation of MCGP to a broader range of cancer populations and diverse study populations.
NPOESS VIIRS sensor design overview

A new era in remote sensing will begin with the launch of the National Polar-orbiting Operational Environment Satellite Systems (NPOESS) Preparatory Project (NPP) spacecraft in 2005, and the multiple operational NPOESS launches in sun-synchronous orbital planes (nominally 13:30, 17:30, or 21:30 local equatorial crossing times) starting in 2008. Users of polar-orbiting environmental satellite data will see a profound improvement in the radiometric quality, spectral coverage, and spatial resolution of routinely available visible and infrared data relative to current operational civilian and military polar-orbiting systems. The improved data will be provided by the NPOESS Visible Infrared Imaging Radiometer Suite (VIIRS). VIIRS will provide Environmental Data Records (EDRs) to meet civilian and national defense operational requirements, including day and night cloud imagery, sea surface temperatures (SST), and ocean color. EDRs will be produced by ground processing of raw data records (RDRS) from the VIIRS sensor. VIIRS will replace three currently operating sensors: the Defense Meteorological Satellite Program (DMSP) Operational Line- scanning System (OLS), the NOAA Polar-orbiting Operational Environmental Satellite (POES) Advanced Very High Resolution Radiometer (AVHRR), and the NASA Earth Observing System (EOS Terra and Aqua) MODerate-resolution Imaging Spectroradiometer (MODIS). This paper describes the VIIRS all-reflective 22-band single-sensor design. VIIRS provides low noise (driven by ocean color for the reflective visible and near-IR spectral bands and by SST for the emissive mid and long-wave IR spectral), excellent calibration and stability (driven by aerosol, cloud, and SST), broad spectral coverage, and fine spatial resolution driven by the imagery EDR. In addition to improved radiometric, spectral, and spatial performance, VIIRS features DMSP OLS-like near- constant resolution, global twice-daily coverage in each orbit plane, and direct heritage to proven design innovations from the successful Sea-viewing Wide Field-of- view Sensor (SeaWiFS) and Earth Observing System (Terra) MODIS.
Spatial variation in the plasma sheet composition: Dependence on geomagnetic and solar activity

We study the spatial distribution of plasma sheet O+ and H+ ions using data from the COmposition and DIstribution Function (CODIF) instrument on board the Cluster spacecraft from 2001 to 2005. The densities are mapped along magnetic field lines to produce bidimensional density maps at the magnetospheric equatorial plane for various geomagnetic and solar activity levels (represented by the Kp and F10.7 indexes). We analyze the correlation of the O+ and H+ density with Kp and F10.7 in the midtail region at geocentric distances between 15 and 20 RE and in the near‐Earth regions at radial distances between 7 and 8 RE. Near Earth the H+ density slightly increases with Kp and F10.7 while in the midtail region it is not correlated with Kp and F10.7. On the contrary, the amount of O+ ions significantly increases with Kp and F10.7 independently of the region. In the near‐Earth region, the effects of solar EUV and geomagnetic activity on the O+ density are comparable. In the midtail region, the O+ density increases at a lower rate with solar EUV flux but strongly increases with geomagnetic activity although the effect is modulated by the solar EUV flux level. We also evidence a strong increase of the proportion of O+ ions with decreasing geocentric distance below ~10 RE. These results confirm the direct entry of O+ ions into the near‐Earth plasma sheet and suggest that both energetic outflows from the auroral zone and cold outflow from the high‐latitude ionosphere may contribute to feed the near‐Earth plasma sheet with ionospheric ions.
The Influence Of Price, Trust, And Quality Of Service On The Decision To Use Oriskin Medan Clinic Services

This study aims to investigate the influence of price, trust, and service quality on decisions to use Oriskin Medan Clinic services. This research is an attempt to understand the factors that influence individual choices in choosing health services at this clinic. Data was collected through a survey involving a sample of Oriskin Medan Clinic patients. The results of this study reveal that price, level of trust in the clinic, and service quality contribute significantly to the decision to use clinic services. These findings highlight the importance of these aspects in influencing patient preferences in choosing a health clinic. Managerial implications and recommendations for healthcare practitioners are also discussed in this study to improve patient experience and sustainability of Oriskin Medan Clinic. This study can provide useful insights for stakeholders in the healthcare industry to develop more effective strategies in maintaining and increasing market share.
Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite

In the current work, the morphological and mechanical features of a hybrid epoxy matrix composite created by hand layup and reinforced with fibers from rice husk, sisal, and kenaf are predicted by using Watershed segmentation algorithm. To forecast the effect of coating composition on physical performance of a composite, Tensile and hardness tests were used to define the resulting hybrid composites' mechanical characteristics. The objective of the empirical investigation presented in this work is to understand the mechanical behavior of hybrid natural fiber composites. The production of rose husk-sisal-kenaf-epoxy hybrid samples is done by hand layup, with the planned plies being alternately stacked and the weight of the matrix and fibers being kept between 40% and 60%. Samples are sliced from a laminate that has been manufactured in accordance with ASTM specifications in order to undertake various experiments. Dog bone and flat bar shapes were used to cut specimens for tensile test & flexural test. Tensile strength and flexural strength were measured following execution of experiment under UTM and contrasted with base values of used epoxy polymer to identify constant change in strength.
PRODUCCIÓN DE HOJARASCA EN TRES BOSQUES DE LA SIERRA DE BEJAR. (SALAMANCA)

SUMMARY Litter production has been determined (Sierra de Bejar Mountain, Salamanca) in three forest ecosystems (climatic oakwood, paraclimatic chesnut grove and disclimacic pinewood). The total production is: 8.6 Tm/Ha, year in the oakwood (leaves contributing with a 65%); 5.9 Tm/Ha, year in the chesnut grove (leaves contributing with a 60%); and 8.8. Tm/Ha, year in the pinewood (needles contributing with 46%, and cones with 33%).
Principales resultados y recomendaciones del proyecto de microzonificación sísmica de caracas

Caracas has suffered during its history several destructive earthquakes, and the most recent one in 1967 with a magnitude of 6.6 caused the collapse of 4 buildings. By means of multidisciplinary studies, important site effects were evidenced in Caracas valley, pointing to the big sedimentary thickness as partially responsible for the damages. This situation motivated the development of Caracas Seismic Microzoning Project in the years 2005-2009. Broad geological, geotechnical and geophysical investigations were carried out to determine the distribution of the different geological units in the valley, including deep drillholes and subsequent earthquake engineering investigations. For slope areas earthquake-induced landslide hazard was estimated based on available geotechnical information and modern methods (Newmark’s method and Arias intensities) and calibrated experimentally. An up to date analysis of the seismic hazard in bedrock was used as an input for the determination of response spectra at different types of sites depending on the sediment thickness and the soil quality of the upper 30 m (Vs30). The results of the 1D dynamic analysis have been calibrated with spectra from real earthquakes, and compared to international codes; then, Caracas 2D-3D basin effects, as well as topographic ones, were considered. All the information is available in a Geographic Information System (GIS), which permits the implementation of the recommendations and the actualization of the information by local institutions.
Microbiotas of the Late Precambrian Hunnberg Formation, Nordaustlandet, Svalbard

A distinctive carbonate shallowing-upward sequence occurs within the upper Riphean (750-800 Ma) Hunnberg Formation of Nordaustlandet, Svalbard. Clastic limestones deposited in an open coastal marine environment pass upward into columnar stromatolitic bioherms, and these, in turn, are overlain by finely laminated lagoonal dolomites. Early diagenetic silicification has preserved microbiotas in each of the three major facies. The plankton assemblage found in open coastal cherts contains more than two dozen taxa. Fossil assemblages of the Hunnberg Formation are useful biostratigraphically; the open coastal plankton biota is clearly latest Riphean in aspect. They also contribute to our understanding of the paleoecological distribution of late Precambrian plankton. This distribution is of potential value in paleoenvironmental reconstruction and is equally important in helping to define the ecological context in which evolutionary interpretations of early microbes must be made. The Hunnberg microbiota contains 33 taxa, of which two are formally described as new; Cymatiosphaeroides kullingii n. gen. et n. sp. and Trachyhystrichosphaera vidalii n. sp. --Modified journal abstract.
Total Variation Compressive Sensing for 3D Shape Estimation in Short-Range Imaging Radars

The problem of angular estimation for extended targets with a single snapshot in short-range imaging radar is considered. Two methods based on the framework of Total Variation Compressive Sensing, where sparsity is enforced in the signal’s gradient, are proposed. An independent azimuth-elevation estimation for each range cell is used in the first method, while a joint 3D range-azimuth-elevation optimization problem is proposed in the second one. The proposed algorithms have been verified on simulated data generated in a realistic manner using 3D CAD models of different cars, pedestrians, and bicycles. The results of the two methods have been compared with a conventional Fourier beamformer and the standard Compressive Sensing algorithm in terms of shape reconstruction. The Intersection over Union between the ground truth shape and the estimated shape with the four methods has been computed to evaluate the shape reconstruction capabilities. It is demonstrated that the presented methods outperform the other two methods, while other beamformers, such as MUSIC or ESPRIT, are not applicable in practice.
The derivation of the value for the fine structure constant

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. The derivation of the value for the fine structure constant Brian Ian Craig
A Rare Case of Vaginal Atresia in an Adolescent Girl Presenting With Abdominal Pain

Vaginal atresia, an infrequent congenital anomaly characterized by the absence or underdevelopment of the vaginal canal, presents significant complexities in pediatric and adolescent gynecological practice. Its diverse range of clinical presentations, including primary amenorrhea and cyclic abdominal discomfort, creates diagnostic challenges, highlighting the need for timely intervention to relieve symptoms and preserve future reproductive health. This case underscores the essential role of a collaborative, multidisciplinary approach involving pediatricians, gynecologists, and surgeons in ensuring comprehensive care and optimizing patient outcomes. In this report, we present the case of a 10-year-old female who initially presented with chronic abdominal pain, which had been occurring intermittently over the course of several months. This ultimately led to the diagnosis of hematometra secondary to vaginal atresia. Utilizing magnetic resonance imaging, we confirmed the diagnosis without exposing the patient to radiation, prioritizing her safety. A successful surgery was performed to create a working vaginal canal. The patient received careful postoperative care, and we closely followed her progress to support a smooth recovery.
Nesting Tree Selection and Temporal Variation in the Nesting of Little Egret (Egretta garzetta) in a Heronry Near Neendakara Harbour, Ashtamudi Wetland, Kollam, Kerala, India

Birds often act as a biosensor in a disturbed wetland ecosystem. Their activities such as feeding, roosting, breeding, etc. are more confined to wetland areas. The heronry is a communal nesting place of waterbirds of the orders Ciconiiformes , Pelecaniformes , Suliformes which comprise Egrets, Herons, Storks, Darters, Cormorants, and Ibis. The present study was focused on the number of nests of the Little Egret ( Egretta garzetta ), nesting tree species, and a number of nests on different trees near the Neendakara fishing harbor, Ashtamudi Wetland (Ramsar site No: 1204), Kollam, Kerala, during June 2018 to March 2020. Bird counting was done with the aid of binoculars, a digital camera, and a spotting scope following the direct observation method. Little Egret nests were recorded as highest in July (108) and lowest in March (34) during the 2018-19 period. During 2019-20, the highest number of nests were observed in July (93) and the lowest in March (15). Six tree species such as Cocos nucifera , Tectona grandis , Alstonia scholaris , Terminalia catappa , Acacia nilotica and Casuarina equisetifolia were utilized by the water bird for nest building. Relative abundance data revealed Cocos nucifera (50%) was the most utilized tree species. Tectona grandis (46%) harbours the highest proportion of nests. A one-way ANOVA followed by a Tukey’s HSD test showed a significant difference (P<0.05) in the relative nest abundance per tree species. Higher number of nests and adult birds residing in the heronry was reported during the wet season (June to November) when compared to the dry season (December to May). Survival of the heronry was threatened by several factors such as natural disasters, predation, poaching, and logging prevailing in the study site. However, there were no significant differences (P>0.05) in the year-wise cumulative nest number.
Predictive Value of the Prothrombin Time-International Normalized Ratio to Albumin Ratio in the Prognosis of Patients with Hepatitis B Virus-Related Acute-on-Chronic Liver Failure

Background Acute-on-chronic liver failure is a common clinical syndrome with high short-term mortality, and early assessment of its mortality risk is crucial, but the search for valid and accurate prognostic biomarkers is a challenging endeavor. The purpose of this study was to investigate the predictive value of the prothrombin time-international normalized ratio to albumin ratio (PTAR) for mortality in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). Patients and methods A total of 354 patients with HBV-ACLF were included in the retrospective study. Patients were divided into survival and non-survival groups based on 90-day follow-up. Cox regression analysis was used to explore the relationship between PTAR and 90-day mortality in patients with HBV-ACLF. The area under the receiver operating characteristic curve was used to evaluate the effectiveness of PTAR in predicting mortality. Results PTAR was significantly higher in non-survivors than in survivors. The results of multivariate analysis showed that PTAR was a valid independent predictor of mortality in patients with HBV-ACLF. Its predictive ability for mortality was similar to that of the Child-Turcotte-Pugh score, the end-stage liver disease model (MELD) score, and the MELD-sodium score. Conclusion PTAR may be a simple and effective tool for predicting the prognosis of patients with HBV-ACLF.
Elements of Photogrammetry(with Applications in GIS)

From the Publisher: The first new edition in 13 years incorporates recent changes on the subject of streamlining from advances in computers. Their ever increasing speed and storage capabilities have directly led to an entire new approach in photogrammetric mapping known as "Soft-Copy" photogrammetry. Digital Imaging systems,including those used in modern satellite programs,scanners for digitizing photographic images,and digital image processing techniques are new topics to be covered that are fundamental to soft copy photogrammetry.
Fire's effects on ecosystems

FIRE DYNAMICS. Combustion Processes and Heat Transfer. Fuels and Fire Behavior. SOIL REPONSES. Soil Resource. Physical Soil System. Chemical Soil System. Biological Soil System. RESPONSES OF OTHER RESOURCES. Water. Vegetation. Wetlands and Riparian Ecosystems. Air. Cultural Resources. MANAGEMENT IMPLICATIONS. Economic Considerations. Fire in Ecosystem Management. Index.
Power Aware Placement of On-Chip Voltage Regulators

In traditional power delivery networks, the on-chip supply voltage is provided by board-level converters. Due to the significant distance between the converter and the load, variations in the load current are not effectively managed, producing a significant voltage drop at the point-of-load. To mitigate this issue, modern high-performance systems utilize on-chip voltage regulators. Due to the close proximity to the load, these regulators can quickly respond to fluctuations in the input voltage or load current, providing superior power quality. Integrated voltage regulators however require significant area, limiting the number of on-chip regulators. An algorithm for distributing on-chip voltage regulators is presented in this article. The algorithm is accelerated using the acrlong IMT, enabling the analysis of arbitrarily sized power grids. The power quality is maximized with a limited number of regulators. Practical scenarios are supported, such as limited current capacity and restricted placement. Several orders of magnitude speedup in the placement process is demonstrated while achieving up to 88% reduction in the maximum voltage drop.
Stratospheric N2O5 in the austral spring 2002 as retrieved from limb emission spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)

[1] N2O5 was retrieved from infrared limb emission spectral radiances made by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on board the European environmental satellite (ENVISAT). The measurements were taken during the period covering the Antarctic polar vortex split between 20 September and 13 October 2002. The retrieval of N2O5 is aggravated by its continuum-like emission feature covering a wide spectral region, which is hardly distinguishable from background continuum emission. The method of constraining the background continuum in the N2O5 analysis spectral region to its value in a N2O5-free spectral region was found to be appropriate to solve this problem. Retrieved volume mixing ratios (VMR) of N2O5 exhibit features consistent with the dynamics prevalent at the time in the Antarctic and known N2O5 chemistry governing diurnal variability. The observations of low N2O5 inside vortex air mass and rich N2O5 exvortex air mass are strongly in support of the chemistry that governs its partitioning within the NOy family. The enhanced nighttime high geographic latitude N2O5 VMR with a peak of 4.4 ppbv in the altitude range of 32–37 km during the last week of September 2002 is consistent with air mass transport from lower to high latitudes and temperature-sensitive N2O5 formation chemistry. N2O5 enhancement up to 6 ppbv was also observed by the Cryogenic Limb Array Etalon Spectrometer(CLAES) and Improved Stratospheric and Mesospheric Sounder (ISAMS) experiments on Upper Atmospheric Research Satellite (UARS) during Northern Hemisphere January 1992 stratospheric warming which was a factor of 3 larger than any measurements of N2O5 prior to UARS. In contrast, a maximum of 4.4 ppbv N2O5 VMR observed by MIPAS at 32–37 km is only a factor of 2 larger than its prewarming values.
Detection of hydrocarbon reservoir boundaries using neural network analysis of surface geochemical data

Surface geochemical surveys could become important tools for defining the boundaries of a hydrocarbon reservoir. Conventional statistical analysis has shown that a correlation can indeed be found between surface geochemical data and the location of a sample site with respect to the boundaries of a known reservoir. However, such analysis methods cannot be used directly as predictive tools. This article describes the successful application of artificial intelligence in the form of neural network analysis to determine whether a specific sample site, given the ethane concentration in the soil and certain environmental data, is within the surface trace of the reservoir boundaries. Data from a previous study over a known gas storage reservoir were used to train a back-propagation neural network. No attempt was made to optimize the structure of the network. We used 85% of the data to train the network and withheld 15% to act as unknowns. The input variables consisted of adsorbed ethane concentration and a series of soil description and environmental parameters. The output variable was a simple binary reflecting whether the sample site was directly over the reservoir. The final network was able to predict 95% of unknown sample sites. We found it necessary to include in the input data the ethane concentrations for sites on either side of each site studied. This is consistent with previous observations that a series of adjacent sites having anomalous concentrations hold more significance than do isolated sites. We also found that the use of the land (probably reflecting the degree of disturbance) and soil moisture are the most important environmental variables. This is consistent with previous conventional statistical studies of the same data. We conclude that application of neural networks to properly designed surface geochemical studies holds promise for use in defining the boundaries of known reservoirs. (Begin page 1894)