Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors affecting progression of non-Alzheimer dementia: a retrospective analysis with long-term follow-up

Background Non-Alzheimer’s dementias, including vascular dementia (VaD), frontotemporal dementia (FTD), Lewy body dementia (LBD), and Parkinson’s disease dementia (PDD), possess unique characteristics and prognostic factors that remain poorly understood. This study aims to investigate the temporal course of these subtypes and identify the impact of functional, neuropsychiatric, and comorbid medical conditions on prognosis. Additionally, the relationship between hippocampal atrophy, white matter intensities, and disease progression will be examined, along with the identification of key covariates influencing slow or fast progression in non-Alzheimer’s dementias. Methods A total of 196 patients with non-Alzheimer’s dementias who underwent at least three comprehensive evaluations were included, with proportions of VaD, FTD, LBD, and PDD being 50, 19.39, 19.90, and 10.71%, respectively. Patient demographics, comorbidities, neuropsychiatric and neuroimaging parameters, and global evaluation were analyzed using appropriate statistical methods. The study followed patients for a mean duration of 62.57 ± 33.45 months (ranging from 11 to 198 months). Results The results from three different visits for each non-AD dementia case demonstrated significant differences in various measures across visits, including functional capacity (BDLAS), cognition (MMSE), and other neuropsychological tests. Notably, certain genotypes and hippocampal atrophy grades were more prevalent in specific subtypes. The results indicate that Fazekas grading and hippocampal atrophy were significant predictors of disease progression, while epilepsy, extrapyramidal symptoms, thyroid dysfunction, coronary artery disease, diabetes mellitus, hypertension, stroke, hyperlipidemia, sleep disorders, smoking, and family history of dementia were not significant predictors. BDLAS and EDLAS scores at the first and second visits showed significant associations with disease progression, while scores at the third visit did not. Group-based trajectory analysis revealed that non-AD cases separated into two reliable subgroups with slow/fast prognosis, showing high reliability (Entropy = 0.790, 51.8 vs. 48.2%). Conclusion This study provides valuable insights into the temporal course and prognostic factors of non-Alzheimer’s dementias. The findings underscore the importance of considering functional, neuropsychological, and comorbid medical conditions in understanding disease progression. The significant associations between hippocampal atrophy, white matter intensities, and prognosis highlight potential avenues for further research and therapeutic interventions.
BAYESIAN PROCEDURE IN PHENOLOGICAL STUDY USING NON- INFORMATIVEPRIOR UNDER CONSTANT TIME SERIES MODEL

At the present time the climate change is the recent topic of discussion to all of us. The statistical methods are necessary to consider the effect of climate change concerned to human being. Here we will develop a Bayesian Methodology in Phenology using informative prior in Constant Time Series Model. Here we will adopt non- parametric estimation.
Application of relative amplitude method to merging processing of 2-D seismic data and reservoir prediction technique in southwestern Tarim

Exploration and investigation indicate that there is a structure zone of multi-target stratum subtle traps at Markit slope of southwestern Tarim in the recent years, and its main target strata are the Paleogene, the Carboniferous and the Silurian. To realize the evaluation of lithologic reservoir characters as the present research requirement, amount of 2-D seismic data from different sources, geophones and acquisition are dealt with merging relative preserved amplitude processing and reservoir prediction research of seismic inversion. In this paper, all of the data in this area are accurately processed with the relative amplitude techniques, such as static correction, pre-stack attenuation, surface consistency processing method. Good effects are proved by the actual processing result and all seismic sections with high consistent. Overall corrections for amplitude, time difference, frequency, phase and waveform are achieved. Those new seismic sections have already got the application in subtle traps research.
Is the Surface Anatomy of the Popliteal Crease Related to Lower Extremity Alignment or Knee Osseous Morphology? A Radiographic Study

Background and objectives: The popliteal crease varies among individuals, and there has been no prior study on this aspect. We assumed that it may be associated with lower extremity alignment and osseous morphology. To demonstrate this, we conducted a radiographic analysis. Materials and Methods: The study was conducted on 121 knees of 63 patients, whose popliteal creases were well distinguished on clinical photographs. PCOA was defined as the angle between the longitudinal axis of the lower leg and the popliteal crease. Through the radiologic examinations performed, the HKA, MPTA, mLDFA, JLCA, MFCA/TEA, and PCA/TEA were measured. Pearson correlation analysis and multiple linear regression analysis were performed on the PCOA and the six radiologic measurements to analyze the relationship. Results: Pearson correlation analysis found HKA had the highest coefficient at 0.568. In multiple linear regression, only HKA was associated, excluding all other measurements. Conclusions: Popliteal crease obliquity is significantly associated with coronal plane lower extremity alignment and exhibits a stronger correlation than with underlying knee osseous morphology. If future research is conducted based on this, popliteal crease could serve as a valuable clue for predicting lower extremity alignment and the risk of osteoarthritis development.
Effect of position on precision within the recording field of a markerless motion capture system

Introduction Markerless motion capture systems are relatively new devices that can significantly speed up capturing full body motion. A precision of the assessment of the finger’s position with this type of equipment was evaluated at 17.30 ± 9.56 mm when compare to an active marker system [1]. The Microsoft Kinect was proposed to standardized and enhanced clinical evaluation of patients with hemiplegic cerebral palsy [2]. Markerless motion capture systems have the potential to be used in a clinical setting for movement analysis, as well as for large cohort research. However, the precision of such system needs to be characterized. Global objectives • To assess the precision within the recording field of the markerless motion capture system Openstage 2 (Organic Motion, NY). • To compare the markerless motion capture system with an optoelectric motion capture system with active markers. Specific objectives • To assess the noise of a static body at 13 different location within the recording field of the markerless motion capture system. • To assess the smallest oscillation detected by the markerless motion capture system. • To assess the difference between both systems regarding the body joint angle measurement. Methods Equipment • OpenStage® 2 (Organic Motion, NY) o Markerless motion capture system o 16 video cameras (acquisition rate : 60Hz) o Recording zone : 4m * 5m * 2.4m (depth * width * height) o Provide position and angle of 23 different body segments • VisualeyezTM VZ4000 (PhoeniX Technologies Incorporated, BC) o Optoelectric motion capture system with active markers o 4 trackers system (total of 12 cameras) o Accuracy : 0.5~0.7mm Protocol & Analysis • Static noise: o Motion recording of an humanoid mannequin was done in 13 different locations o RMSE was calculated for each segment in each location • Smallest oscillation detected: o Small oscillations were induced to the humanoid mannequin and motion was recorded until it stopped. o Correlation between the displacement of the head recorded by both systems was measured. A corresponding magnitude was also measured. • Body joints angle: o Body motion was recorded simultaneously with both systems (left side only). o 6 participants (3 females; 32.7 ± 9.4 years old) • Tasks: Walk, Squat, Shoulder flexion & abduction, Elbow flexion, Wrist extension, Pronation / supination (not in results), Head flexion & rotation (not in results), Leg rotation (not in results), Trunk rotation (not in results) o Several body joint angles were measured with both systems. o RMSE was calculated between signals of both systems. Results Conclusion Results show that the Organic Motion markerless system has the potential to be used for assessment of clinical motor symptoms or motor performances However, the following points should be considered: • Precision of the Openstage system varied within the recording field. • Precision is not constant between limb segments. • The error seems to be higher close to the range of motion extremities.
Identification of Insulin-Mimetic Phytochemicals from Mas Cotek (Ficus deltoidea) for Treatment of Type 2 Diabetes via LC-MS/MS and Molecular Docking Analyses

Type 2 diabetes mellitus, a metabolic syndrome, has become increasingly prevalent in recent years. In the treatment of chronic T2DM, patients are required to take insulin daily, commonly through injections, as the hormone can easily be degraded by the digestive system if taken orally. This can be an uncomfortable experience for the patient. Thus, finding an alternative to insulin, especially from natural compounds, would be beneficial. Ficus deltoidea, which belongs to the Moraceae family, is a medicinal plant known for its anti-diabetic properties. Therefore, this study aimed to identify the phytochemicals from F. deltoidea that mimic insulin by studying their ability to bind to insulin receptors using in silico analysis. A total of 36 phytochemicals were identified in the methanolic extract of F. deltoidea through LC-MS/MS analysis. They were then subjected to molecular docking to determine their binding free energy with the insulin receptor (IR). The results revealed seven phytochemicals with the lowest binding free energy, with 2,3-dihydroxy-N,N'-bis[(E)-1-(4-hydroxy-6-methyl-2-oxochromen-3-yl)ethylideneamino] butanediamide exhibiting the lowest binding free energy at -10.0 kcal/mol. Hence, these phytochemicals demonstrate potential as insulin-mimetic compounds that can be used in the treatment of T2DM.
Innovative Strategies for Fertility Preservation in Female Cancer Survivors: New Hope from Artificial Ovary Construction and Stem Cell-Derived Neo-Folliculogenesis

Recent advances in anticancer treatment have significantly improved the survival rate of young females; unfortunately, in about one third of cancer survivors the risk of ovarian insufficiency and infertility is still quite relevant. As the possibility of becoming a mother after recovery from a juvenile cancer is an important part of the quality of life, several procedures to preserve fertility have been developed: ovarian surgical transposition, induction of ovarian quiescence by gonadotropin-releasing hormone agonists (GnRH-a) treatment, and oocyte and/or ovarian cortical tissue cryopreservation. Ovarian tissue cryostorage and allografting is a valuable technique that applies even to prepubertal girls; however, some patients cannot benefit from it due to the high risk of reintroducing cancer cells during allograft in cases of ovary-metastasizing neoplasias, such as leukemias or NH lymphomas. Innovative techniques are now under investigation, as in the construction of an artificial ovary made of isolated follicles inserted into an artificial matrix scaffold, and the use of stem cells, including ovarian stem cells (OSCs), to obtain neo-folliculogenesis and the development of fertilizable oocytes from the exhausted ovarian tissue. This review synthesizes and discusses these innovative techniques, which potentially represent interesting strategies in oncofertility programs and a new hope for young female cancer survivors.
La "Premisa Pompeya" y las "cabañas semisubterráneas" del sur de la Península Ibérica (IV-III milenios A.C.)

The Pompeii Premise is one of the worst theoretical and methodological mistakes ever made in Archaeology as a science, as surveys on formation processes of the archaeological record have pointed out. In this work we disagree with its usual presence in the archaeology of Iberian Peninsula, particularly in the study of Neolithic and Copper Age ditched enclosures, which we will use as a case study.
Emergency Management During Telehealth

The COVID-19 pandemic rapidly expanded telehealth utilization, spurring interest in patient safety and emergency procedures during treatment. The purpose of this report was to present safety procedures within a Veterans Affairs (VA)-affiliated telehealth physical therapy program treating medically complex older adults. Staff completed organizational and clinic-specific training for emergency procedures; these procedures were iteratively adapted through safety event debriefings and weekly meetings. Twenty-one individuals participated in the program. Clinicians completed 317 and 122 individual and group sessions, respectively, and reported 17 safety events. Four case examples highlight how safety procedures were adapted to mitigate risk and respond to emergencies.
Study of the Vorticity and Moisture Budget of a Northeast Vortex Producing Heavy Rainfall

Detailed analysis are conducted on the structure,the vorticity and moisture budgets of a northeast vortex which caused sustained heavy rainfall in Northeast China on 25-29 July 2005.The results show: 1) The northeast vortex was a deeper depression related with cold air.In the early formation stage,the cyclonic vorticity appeared in the middle troposphere and then extended to the lower and upper level,respectively;While in the developing stage of the vortex,the cyclonic vorticity increased most rapidly in the upper troposphere,then extended downwards to the middle and the lower troposphere,which produced the development of surface cyclone with front.Under the interaction of frontogenesis between upper and lower level,there formed a nearly vertical deep "Bow-Shaped" front zone with a little tilted forwards in the low level.2) The calculation of vorticity budget indicates that both the horizontal advection term and horizontal divergence term contributed most significantly to the strengthening of vortex,but their values are different during the different stages of the vortex.3) The maxima of the potential vorticity anomaly were located in the upper troposphere,and then extended downwards in the southeastern part of the vortex which is near the area of heavy rainfall.In addition,the analysis of satellite data TBB shows that there existed the typical spiral cloud band during the period of the heavy rainfall and the area of intense convective activities coincided with that of heavy precipitation.4) In the early stage of heavy rainfall of the northeast vortex,the moisture budget was mainly from the north boundary;With the reinforcement of southwest monsoon in the low latitude,a moisture transportation from the low to the middle or higher latitude was formed along the west edge of subtropical high and the moisture supply is mainly caused by the convergence of north and south boundary.5) Finally,comparison has been conducted between the heavy rainfall cases of northeast vortexes during the summer of 2005 and 1998,and it shows that the sunstained heavy rainfall in larger area was closely related to the Asian blocking highs in middle or higher latitude,the maintenance of vortex and the position of subtropical high in West Pacific,as well as the moisture supply of summer monsoon coming from low latitude area.
Application and Development of EEG Acquisition and Feedback Technology: A Review

This review focuses on electroencephalogram (EEG) acquisition and feedback technology and its core elements, including the composition and principles of the acquisition devices, a wide range of applications, and commonly used EEG signal classification algorithms. First, we describe the construction of EEG acquisition and feedback devices encompassing EEG electrodes, signal processing, and control and feedback systems, which collaborate to measure faint EEG signals from the scalp, convert them into interpretable data, and accomplish practical applications using control feedback systems. Subsequently, we examine the diverse applications of EEG acquisition and feedback across various domains. In the medical field, EEG signals are employed for epilepsy diagnosis, brain injury monitoring, and sleep disorder research. EEG acquisition has revealed associations between brain functionality, cognition, and emotions, providing essential insights for psychologists and neuroscientists. Brain–computer interface technology utilizes EEG signals for human–computer interaction, driving innovation in the medical, engineering, and rehabilitation domains. Finally, we introduce commonly used EEG signal classification algorithms. These classification tasks can identify different cognitive states, emotional states, brain disorders, and brain–computer interface control and promote further development and application of EEG technology. In conclusion, EEG acquisition technology can deepen the understanding of EEG signals while simultaneously promoting developments across multiple domains, such as medicine, science, and engineering.
Real Time Social Data Analysis for Forecasting Nature Disasters

The online social network has millions of users all over the areas in the world, where the people collaborate and should share their information related to real world events. The status update which almost specifies what is happening around an individual and also around the individual’s location. This small content with real world information when processed with some statistical tool may help us to predict a real world event. Inspired by the concept we propose a method to predict the cyclone formation in India by processing the tweets messages posted by the social users. Our system consist of two levels, first we create a classifier to filter out the messages which specify the occurrence of our event, in our case cyclone formation. In second level we apply statistical method over the generated data model to predict the occurrence of the cyclone in the future. We also create an alarm system for our registered users to deliver a notification during cyclone which helps saving many lives
Anisotropic 3D full-waveform inversion

ABSTRACTWe have developed and implemented a robust and practical scheme for anisotropic 3D acoustic full-waveform inversion (FWI). We demonstrate this scheme on a field data set, applying it to a 4C ocean-bottom survey over the Tommeliten Alpha field in the North Sea. This shallow-water data set provides good azimuthal coverage to offsets of 7 km, with reduced coverage to a maximum offset of about 11 km. The reservoir lies at the crest of a high-velocity antiformal chalk section, overlain by about 3000 m of clastics within which a low-velocity gas cloud produces a seismic obscured area. We inverted only the hydrophone data, and we retained free-surface multiples and ghosts within the field data. We invert in six narrow frequency bands, in the range 3 to 6.5 Hz. At each iteration, we selected only a subset of sources, using a different subset at each iteration; this strategy is more efficient than inverting all the data every iteration. Our starting velocity model was obtained using standard PSDM model bui.
DLL3 Is a Prognostic and Potentially Predictive Biomarker for Immunotherapy Linked to PD/PD-L Axis and NOTCH1 in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive neoplasm with very poor patient survival outcomes despite available treatments. There is an urgent need for new potential treatment options and novel biomarkers for these patients. Delta-like canonical Notch ligand 3 (DLL3) interacts with the Notch receptor and causes inhibition of Notch signaling, which confers a survival advantage to PDAC cells. Thus, DLL3 expression could affect cell survival, and its inhibition could increase a patient’s survival. To test this hypothesis, a survival analysis was conducted using the progression-free and overall survival from two independent datasets of PDAC patients, with one using mRNA z-score levels and the other using the Hscore protein expression level; both were carried out using a log-rank test and plotted using Kaplan–Meier curves. DLL3 at the mRNA expression level showed an association between high mRNA expression and both a longer progression-free survival (PFS) and overall survival (OS) of patients. Then, we designed a retrospective study with resected PDAC samples. Our primary objective with this dataset was to assess the relationship between PFS and OS and DLL3 protein expression. The secondary assessment was to provide a rationale for the use of anti-DLL3-based treatments in combination with immunotherapy that is supported by the link between DLL3 and other factors that are involved in immune checkpoints. The survival analyses revealed a protective effect of high DLL3 protein expression levels in both PFS and OS. Interestingly, high DLL3 protein expression levels were significantly correlated with PD-L1/2 and negatively correlated with NOTCH1. Therefore, DLL3 could be considered a biomarker for better prognosis in resectable PDAC patients as well as a therapeutic biomarker for immunotherapy response. These facts set a rationale for testing anti-DLL3-based treatments either alone or combined with immunotherapy or other NOTCH1 inhibitors.
Basis of preventive and non-pharmacological interventions in asthma

Asthma is one of the most common atopic disorders in all stages of life. Its etiology is likely due to a complex interaction between genetic, environmental, and lifestyle factors. Due to this, different non-pharmacological interventions can be implemented to reduce or alleviate the symptoms caused by this disease. Thus, the present narrative review aimed to analyze the preventive and non-pharmacological interventions such as physical exercise, physiotherapy, nutritional, ergonutritional, and psychological strategies in asthma treatment. To reach these aims, an extensive narrative review was conducted. The databases used were MedLine (PubMed), Cochrane (Wiley), Embase, PsychINFO, and CinAhl. Asthma is an immune-mediated inflammatory condition characterized by increased responsiveness to bronchoconstrictor stimuli. Different factors have been shown to play an important role in the pathogenesis of asthma, however, the treatments used to reduce its incidence are more controversial. Physical activity is focused on the benefits that aerobic training can provide, while physiotherapy interventions recommend breathing exercises to improve the quality of life of patients. Nutritional interventions are targeted on implement diets that prioritize the consumption of fruits and vegetables and supplementation with antioxidants. Psychological interventions have been proposed as an essential non-pharmacological tool to reduce the emotional problems associated with asthma.