Miracle-dz/UniFAR-FTUs huggingface dataset:
Glacier variations in response to climate change from 1972 to 2007 in the western Lenglongling mountains, northeastern Tibetan Plateau

Abstract Global warming is causing widespread glacier retreat, with small glaciers disappearing. We investigate changes in glaciers over the western Lenglongling mountains, located in the northeastern margin of the Tibetan Plateau. Glacier extent over the western Lenglongling mountains is estimated by comparing digitized glacier outlines obtained from aerial photographs and satellite imagery. These results suggest that all 179 glaciers in the western Lenglongling mountains shrunk between 1972 and 2007. The total area loss was ~24.4 km2, accounting for ~28.3% (0.81% a-1) of the glacierized area in 1972. The average area retreat rates differ over different time intervals: they are approximately 0.68, 0.90, 0.77 and 0.56 km2 a-1 over the periods 1972-95,1995-99,1999-2002 and 2002-07, respectively. Based on analysis of meteorological data, glacier shrinkage in the study area can probably be attributed to the increase in air temperature. Furthermore, the smaller glaciers display a higher shrinkage rate than larger glaciers, and glaciers on southwest-facing slopes appear to retreat faster than those on northeast- facing slopes.
Early Detection of Monkeypox Skin Disease Using Patch Based DL Model and Transfer Learning Techniques

In the field of medicine, it is very important to prognosticate diseases early to cure them from their initial stages. Monkeypox is a viral zoonosis with symptoms similar to the smallpox as it spreads widely with the person who is in close contact with the affected. So, it can be diagnosed using various new age computing techniques such as CNN, RESNET, VGG, EfficientNet. In this work, a prediction model is utilized for better classification of Monkeypox. However, the implementation of machine learning in detecting COVID-19 has encouraged scientists to explore its potential for identifying monkeypox. One challenge in using Deep learning (DL) and machine learning (ML) for this purpose is the lack of sufficient data, including images of monkeypox-infected skin. In response, Monkeypox Skin Image Dataset is collected from Kaggle, the largest of its kind till date which includes images of healthy skin as well as monkeypox and some other infected skin diseases. The dataset undergoes through different data augmentation phases which is fed to different DL and ML algorithms for producing better results. Out of all the approaches, VGG19 and Resnet has got the best result with 92% recognition accuracy.
Mitochondrial Proteomes in Neural Cells: A Systematic Review

Mitochondria are ancient endosymbiotic double membrane organelles that support a wide range of eukaryotic cell functions through energy, metabolism, and cellular control. There are over 1000 known proteins that either reside within the mitochondria or are transiently associated with it. These mitochondrial proteins represent a functional subcellular protein network (mtProteome) that is encoded by mitochondrial and nuclear genomes and significantly varies between cell types and conditions. In neurons, the high metabolic demand and differential energy requirements at the synapses are met by specific modifications to the mtProteome, resulting in alterations in the expression and functional properties of the proteins involved in energy production and quality control, including fission and fusion. The composition of mtProteomes also impacts the localization of mitochondria in axons and dendrites with a growing number of neurodegenerative diseases associated with changes in mitochondrial proteins. This review summarizes the findings on the composition and properties of mtProteomes important for mitochondrial energy production, calcium and lipid signaling, and quality control in neural cells. We highlight strategies in mass spectrometry (MS) proteomic analysis of mtProteomes from cultured cells and tissue. The research into mtProteome composition and function provides opportunities in biomarker discovery and drug development for the treatment of metabolic and neurodegenerative disease.
Measurements of Turbulence in the Upper-Ocean Mixing Layer Using Autosub

Abstract The rate of dissipation of turbulent kinetic energy has been measured with airfoil probes mounted on an autonomous vehicle, Autosub, on constant-depth legs at 2–10 m below the surface in winds up to 14 m s−1. The observations are mostly in an area limited by fetch to 26 km where the pycnocline depth is about 20 m. At the operational depths of 1.55–15.9 times the significant wave height Hs, and in steady winds of about 11.6 m s−1 when the wave age is 11.7–17.2, dissipation is found to be lognormally distributed with a law-of-the-wall variation with depth and friction velocity. Breaking waves, leaving clouds of bubbles in the water, are detected ahead of the Autosub by a forward-pointing sidescan sonar, and the dissipation is measured when the clouds are subsequently reached. Bands of bubbles resulting from the presence of Langmuir circulation are identified by a semiobjective method that seeks continuity of band structure recognized by both forward- and sideways-pointing sidescan sonars. The times.
The Impact of Head Position on Neurological and Histopathological Outcome Following Controlled Automated Reperfusion of the Whole Body (CARL) in a Pig Model

Introduction: Based on extracorporeal circulation, targeted reperfusion strategies have been developed to improve survival and neurologic recovery in refractory cardiac arrest: Controlled Automated Reperfusion of the whoLe Body (CARL). Furthermore, animal and human cadaver studies have shown beneficial effects on cerebral pressure due to head elevation during conventional cardiopulmonary resuscitation. Our aim was to evaluate the impact of head elevation on survival, neurologic recovery and histopathologic outcome in addition to CARL in an animal model. Methods: After 20 min of ventricular fibrillation, 46 domestic pigs underwent CARL, including high, pulsatile extracorporeal blood flow, pH–stat acid–base management, priming with a colloid, mannitol and citrate, targeted oxygen, carbon dioxide and blood pressure management, rapid cooling and slow rewarming. N = 25 were head-up (HUP) during CARL, and N = 21 were supine (SUP). After weaning from ECC, the pigs were extubated and followed up in the animal care facility for up to seven days. Neuronal density was evaluated in neurohistopathology. Results: More animals in the HUP group survived and achieved a favorable neurological recovery, 21/25 (84%) versus 6/21 (29%) in the SUP group. Head positioning was an independent factor in neurologically favorable survival (p < 0.00012). Neurohistopathology showed no significant structural differences between HUP and SUP. Distinct, partly transient clinical neurologic deficits were blindness and ataxia. Conclusions: Head elevation during CARL after 20 min of cardiac arrest independently improved survival and neurologic outcome in pigs. Clinical follow-up revealed transient neurologic deficits potentially attributable to functions localized in the posterior perfusion area, whereas histopathologic findings did not show corresponding differences between the groups. A possible explanation of our findings may be venous congestion and edema as modifiable contributing factors of neurologic injury following prolonged cardiac arrest.
Sea Level Change in the South China Sea and Its Relations to the Steric Height Variation and Wind

The purpose of the research on sea level change is to grasp its variation law and forecast its variation in the future and evaluate its influence on the living environment of human beings.In this paper,the variations of sea surface height(SSH),steric sea level(SSL) and wind in the South China Sea(SCS) are analyzed based on the altimeter data of Topex/Poseidon satellite,temperature and salinity data of Ishii(2005) and Levitus(20005),and wind data from ICOADS(2005) database.The results show that the SSH in the SCS rises at a rate of 4.7 mm/a from 1993 to 2002.In most areas,both the SSH and SSL are rising but the rising rates are different from place to place.In the northeast where the SSH rises very fast,the rising rate can reach 10.0 mm/a while in the southwest,the rate is very small.During 1996/1997,both the sea surface height anomaly(SSHA) and steric sea level anomaly(SSLA) in the SCS have a significant rising.The SSL change associated with temperature variation dominates the change of the SSH with a contribution of 89.4%. The range of the seasonal variability of the SSH is about 4 cm,smaller than that of the SSL which is about 6 cm.The phase of the SSL leads the SSH by about two months.By analyzing the relation between the wind stress curl and the non-steric sea level,we found that besides the SSL,the longitudinal wind stress curl is also important to the SSH.The correlation coefficient between non-steric height and longitudinal wind stress is about 0.7. One reason for the range of the SSH being smaller than the range of the thermal contribution is that there exist prominent spatial changes(may be reverse in phase from one place to another) in the SSH,which is much weaker in the SSL.So the range of SSH becomes smaller after averaging over the whole SCS.Another reason is that in the southwestern SCS,the part of the SSH change caused by the circulations and characters of the climate is opposite in phase with the steric effect.
High‐speed imaging of Strombolian eruptions: Gas‐pyroclast dynamics in initial volcanic jets

High‐speed imaging of Strombolian explosions brings into view the motion of pyroclasts upon leaving the volcanic vent. The erupted gas‐pyroclast mixtures form jets with well‐defined leading vortex rings that rise at almost constant velocity proportional to the time‐averaged velocity of pyroclasts. The ejection velocity of pyroclasts decreases over time and defines a conical profile centered on the jet central streamline. Pyroclast deceleration patterns are related to their velocity and compatible with drag force but are also strongly controlled by jet dynamics. These patterns include constant, decreasing, or abruptly increasing decelerations up to 104 m s−2. Nonuniform deceleration focuses at the jet sides and, mostly, in a narrow zone across the vortex ring. This deceleration zone is trailed by a reduced drag zone, where deceleration is drastically reduced. In these highly transient eruptions, both zones move upward and attenuate over time. Our results provide the first quantitative mapping of reduced drag zones.
Diffusion Probabilistic Models-based Noise Reduction for Enhancing the Quality of Medical Images

The quality of medical images is critical for Computer-aided diagnosis (CAD) and Image-guided robotic interventions because accurate and high-quality images are required to perform each task. High resolution and Signal-to-Noise Ratio (SNR) images are required to analyze and navigate the robotic instruments to the accurate localization inside the body. However, medical images are often of substantially lower quality than clean photographic images due to various factors. In this study we focus on a post-processing based strategy for reducing the amount of noise in MRI images. We propose a method based on Denoising Diffusion Probablistic Models (DDPM), also known as diffusion models the reduce the amount of noise in the image. Specifically, a two-stage DDPM method is proposed – estimating the amount of noise and designating to the correct stage in the Marchov Chain in the reverse diffusion operation, and iteratively and gradually reducing noise by reversing the process. Our experiment was performed on an actually scanned images on a clinical MR scanner, with the reference image that were averaged to match the SNR. Our quantitative and qualitative comparison shows that our method outperforms previous methods including supervised training based on two different metrics (SSIM, PSNR). It demonstrates the effectiveness of the DDPM-based method in reducing noise in the image. Moreover, the resulting image quality achieved with the proposed approach shows that tissue sub-structures are clearer. The noise reduction performance of the proposed method for multiple adjacent slices and various contrasts was tested to show the modelś ability to reduce noise across a diverse set of imaging conditions, which is essential in real-world scenarios.
Analysis of ice plains of the Filchner–Ronne Ice Shelf, Antarctica, using ICESat laser altimetry

Abstract We use repeat-track laser altimeter data from the Ice, Cloud and land Elevation Satellite (ICESat) to map the grounding zone (GZ) of the Filchner–Ronne Ice Shelf, Antarctica. Ice flexure in the GZ occurs as the ice shelf responds to ocean-height changes due primarily to tides. We have identified three ‘ice plains’, regions of low surface slope near the GZ where the ice is close to hydrostatic equilibrium: one on Institute Ice Stream; another to its east; and another west of Foundation Ice Stream. The vertical information from repeated ICESat tracks enables us to study the topography, state of flotation and flexure characteristics across these features. In regions of ephemeral grounding, tidal migration of the grounding line allows us to estimate bed slope (∼1–2 × 10−3). From these studies we develop a classification scheme for ice plains, expressed in terms of the evolution, or ‘life cycle’, of these features. A lightly grounded ice plain progresses to a state of ephemeral grounding as the ice sheet thins near the GZ. Once sufficient thinning has occurred, the ice plain becomes a fully floating, relict ice plain with an undulated surface topography similar to that of lightly grounded ice; we expect viscous relaxation to a smooth ice-shelf surface to occur over a timescale of decades. Our improved insight into ice-plain evolution suggests added complexity in modeling ice in the vicinity of the GZ, and a role for ice-plain observations as a guide to relatively rapid changes in ice-sheet mass balance.
Advances in Understanding and Treating Amyotrophic Lateral Sclerosis (ALS): A Comprehensive Review

Amyotrophic lateral sclerosis (ALS) is a deadly CNS neurodegenerative disease. The way ALS is now managed, from diagnosis to prognosis, is still not ideal despite many studies. Early diagnosis can help ALS patients live longer since prompt treatment can halt the disease's development. Two medications, riluzole and edaravone, have recently been licensed for use in therapy, and they very slightly increase life expectancy. Still, a lot of cutting-edge experimental medications are being developed. In the following article, we give a synopsis of the innovative medications and genetic remodeling that have emerged recently and help to halt the course of the illness. Studies have also been conducted on a few symptomatic and rehabilitative therapies that enhance the quality of life for ALS patients.
Wear Your Heart on Your Sleeve: Users Prefer Robots with Emotional Reactions to Touch and Ambient Moods

Robots are increasingly being developed as assistants for household, education, therapy, and care settings. Such robots can use adaptive emotional behavior to communicate warmly and effectively with their users and to encourage interest in extended interactions. However, autonomous physical robots often lack a dynamic internal emotional state, instead displaying brief, fixed emotion routines to promote specific user interactions. Furthermore, despite the importance of social touch in human communication, most commercially available robots have limited touch sensing, if any at all. We propose that users’ perceptions of a social robotic system will improve when the robot provides emotional responses on both shorter and longer time scales (reactions and moods), based on touch inputs from the user. We evaluated this proposal through an online study in which 51 diverse participants watched nine randomly ordered videos (a three-by-three full-factorial design) of the koala-like robot HERA being touched by a human. Users provided the highest ratings in terms of agency, ambient activity, enjoyability, and touch perceptivity for scenarios in which HERA showed emotional reactions and either neutral or emotional moods in response to social touch gestures. Furthermore, we summarize key qualitative findings about users’ preferences for reaction timing, the ability of robot mood to show persisting memory, and perception of neutral behaviors as a curious or self-aware robot.
Intensive fish farming: changes in water quality and relationship with zooplankton community

Abstract Aim This study aimed to evaluate the interference of intensive fish farming in the physicochemical variables of water and in the zooplankton community from a tilapia (Oreochromis niloticus Linnaeus, 1758) pond in southern Brazil. In addition, it was verified whether the analyzed zooplankton groups could be bioindicators of changes in the quality of pond water. Methods The water and zooplankton sample collections were carried out monthly in different places of the pond: at the water supply site (affluent), in the middle of the pond and at the water outlet site (effluent). Analyzes related to nitrogen series (total nitrogen, total ammonia, nitrite + nitrate), dissolved oxygen, total hardness, total alkalinity, total phosphorus, pH, turbidity and water temperature were performed at all sampling sites. In addition, the density of the zooplankton groups Copepoda (adults and nauplii), Rotifera and Cladocera was determined. Results Regarding the changes between the quality variables of the affluent and effluent water of the pond, the outlet water showed a significant increase only in the variable total alkalinity. Rotifers were the most abundant organisms, and nauplii Copepoda showed a significant increase in the density of organisms in the middle of the pond compared to the inlet water. Both the redundancy analysis (RDA) and the Spearman correlation matrix revealed that zooplanktonic groups are associated with certain physicochemical variables of the water. According to the Analysis of Indicator Species (IndVal), the evaluated organisms are not related to bioindicator species in this environment. Conclusions Therefore, intensive production of O. niloticus caused changes only in the total alkalinity of the pond water. The zooplanktonic organisms correlated with the physicochemical variables of the water and between the groups, and did not show potential for bioindicators of water quality in the different locations of the pond.
In silico approaches in carcinogenicity hazard assessment: case study of pregabalin, a nongenotoxic mouse carcinogen

In silico toxicology protocols are meant to support computationally-based assessments using principles that ensure that results can be generated, recorded, communicated, archived, and then evaluated in a uniform, consistent, and reproducible manner. We investigated the availability of in silico models to predict the carcinogenic potential of pregabalin using the ten key characteristics of carcinogens as a framework for organizing mechanistic studies. Pregabalin is a single-species carcinogen producing only one type of tumor, hemangiosarcomas in mice via a nongenotoxic mechanism. The overall goal of this exercise is to test the ability of in silico models to predict nongenotoxic carcinogenicity with pregabalin as a case study. The established mode of action (MOA) of pregabalin is triggered by tissue hypoxia, leading to oxidative stress (KC5), chronic inflammation (KC6), and increased cell proliferation (KC10) of endothelial cells. Of these KCs, in silico models are available only for selected endpoints in KC5, limiting the usefulness of computational tools in prediction of pregabalin carcinogenicity. KC1 (electrophilicity), KC2 (genotoxicity), and KC8 (receptor-mediated effects), for which predictive in silico models exist, do not play a role in this mode of action. Confidence in the overall assessments is considered to be medium to high for KCs 1, 2, 5, 6, 7 (immune system effects), 8, and 10 (cell proliferation), largely due to the high-quality experimental data. In order to move away from dependence on animal data, development of reliable in silico models for prediction of oxidative stress, chronic inflammation, immunosuppression, and cell proliferation will be critical for the ability to predict nongenotoxic compound carcinogenicity.
Supporting elderly patients in strengthening their personal and spiritual health resources

Care for the sick, including spiritual support is sometimes called holistic medicine. The term bio-psycho-social-spiritual model is sometimes used to describe this type of therapeutic approach patient-oriented medicine. This report indicates the importance of taking into account the spiritual aspect of life due to its beneficial impact on the coping resources activated and the patient’s well-being. Existential and spiritual issues are on the verge of new clinical and research interest in medicine, especially in gerontology, oncology, and palliative care. Clinicians focus not only on symptom control but also on spiritual and existential issues such as spirituality, hope, and meaning. This paper reviews the topic of spirituality in the context of illness and end-of-life care trying to define spirituality within the context of health resources of the subject. Spirituality is perceived in two of its main components: faith/religious beliefs and spiritual well-being. Especially this second construct is reviewed and described as a health resource.
Characteristics of Hospitals That Adopt Hospital Information Systems in Mongolia And Its Impact on Patient Safety and Quality of Care

Objectives: Our objective was to determine the relationship between the adoption of hospital information system (HIS) in Mongolian tertiary and secondary care hospitals and the hospital’s organizational & geographical characteristics, its impact on patient safety & quality of healthcare. Methods: This wasa cross sectional study involving the executive directors and 39 quality managersat 39 hospitals. Data werecollected using questionnaire to determine the adoption rate of HIS and their hospital’s organizational & geographical characteristics. Results: The adoption of HIS signifi cantly affected by hospital size, ownership type, health maintenance organization penetration, and hospital location (urban versus rural). The adoption of HIS was found to partially impactpatient safety and quality of healthcare outcomes. Conclusion: In terms of theoretical implications, this study confi rms that hospital organizational & geographical characteristics (structure) impact the adoption of HIS (process) which in turn affects healthcare outcomes (outcome). These fi nding validate Avedis Donabedian’s “Structure-Process-Outcome” model. The present fi ndings also confi rm that hospitals with these structural attributes adopted more technologies.