Miracle-dz/UniFAR-FTUs huggingface dataset:
“The Interaction Effects of Age of the Patients and Stages of the Disease on Hope among Hematology Cancer Patients: A two-Way Analysis of Varriance”

Introduction: Whenever the patient is being diagnosed with cancer they lose their hope. Hope is very vital component for uplifting the psychological health. There are few researches found on interaction effect of age and stages of the cancer disease on hope of the hematology cancer patients. The present study focused on to explore the interaction effects of age of cancer patients and stages of the cancer disease on hope among hematology cancer patients. Methods: Two-way factorial research design has been used for the present study. The purposive sampling data was collected, Stage I and Stage II hematology cancer patients (age group 21-35 years and 50- 75 years) were included as sample size. To measure hope- Adult Hope Scale was used. For data analysis, SPSS version 20 was used for descriptive statistics, t-test, and two-way ANOVA. Result: A two-way ANOVA was run on a sample of 71 hematology cancer patients to examine the effect of age groups and stage category of the disease on level of hope in hematology cancer patients, F (1,67) = 12.90, p = . 001. Simple main effects analysis showed that age groups have statistically significant effect on level of hope (p = .000). Simple main effects analysis showed that stage category of cancer have a significant effect on level of hope (p = .000). Conclusion: It is indicated that similar level of hope was found at stage I in both the age groups but there was declined in level of hope in stage II, whereas older aged patients have shown better level of hope.
Habitat Modeling for Tiger (Penthra Tigris) Using Geo-spatial Technology of Panna Tiger Reserve (M.P.) India

The Tiger (Panthera tigris) population in India has undergone a sharp decline during the last few years. Habitat zones where prey populations are abundant are likely to be preferred by the tiger in comparison to those where they are scarce or absent. An area having a high density of road would be avoided by wild animals as compared to an area with few or no roads because there is a high traffic and constant noise. Habitat suitability index (HSI) models have been used to evaluate wildlife habitat. These models are based on functional relationships between wildlife and habitat variables. Values of habitat variables (e.g., herbaceous canopy cover, tree canopy cover, tree height) are related to habitat quality on a suitability index (SI) scale from 0 = "not habitat" to 1 = "habitat of maximum suitability. " Habitat suitability index scores, also on a 0-1 scale, are usually calculated using a mathematical formula representing hypothesized relationships among the individual SIs. Tiger (Panthera tigris) prefer core habitats, generally avoid area with high edge density. In the study area landscape, the Ken River is the perennial water sources; Prey species of tiger and the Tiger also preferred areas proximate to perennial water sources is favored. Tigers, under normal circumstances of human settlement, avoid traversing through such areas. Tiger"s preferred prey includes in the study area, this group is commonly represented by Chital (Axis axis), Sambar (Cervus unicolor), Wild-boar (Sus scrofa), Barking deer (Muntiacus muntjak), and Nilgai (Boselaphus tragocamelus) were also encountered in the study area.
Obstacle Detection and Distance Estimation for Visually Impaired People

In the realm of assistive technologies for visually impaired persons (VIPs), existing solutions such as white canes and guide dogs have limitations in range and practicality. Moreover, current electronic systems often fall short in terms of portability and the ability to estimate distances in real-time. To bridge these gaps, this study introduces a revolutionary wearable device comprising a Raspberry Pi, a camera module, and a pretrained convolutional neural network, all integrated into a pair of smart glasses. These glasses are designed to identify objects and estimate their distances from the wearer, providing real-time auditory or haptic feedback. The development process was rigorous, involving the deployment of machine learning algorithms for object identification and the integration of camera and sensor technology into a lightweight, user-friendly frame. The system’s performance was extensively evaluated using quantitative metrics, showing its precision, speed, and usability. Conclusively, this study presents a significant leap in wearable assistive technologies, offering enhanced spatial awareness, autonomy, and quality of life for VIPs.
Combined Use of Optical Imaging Satellite Data and Electronic Intelligence Satellite Data for Large Scale Ship Group Surveillance

We propose a novel framework for large-scale maritime ship group surveillance using spaceborne optical imaging satellite data and Electronic Intelligence (ELINT) satellite data. Considering that the size of a ship is usually less than the distance between different ships for large-scale maritime surveillance, we treat each ship as a mass point and ship groups are modelled as point sets. Motivated by the observation that ship groups performing tactical or strategic operations often have a stable topology and their attributes remain unchanged, we combine both topological features and attributive features within the framework of Dempster-Shafer (D-S) theory for coherent ship group analysis. Our method has been tested using different sets of simulated data and recorded data. Experimental results demonstrate our method is robust and efficient for large-scale maritime surveillance.
Application of Morphometric Analysis for Geo-Hydrological Studies Using Geo-Spatial Technology -A Case Study of Vishav Drainage Basin

The morphometric analysis of the drainage basin and channel network play an important role in understanding the geo-hydrological behavior of drainage basin and expresses the prevailing climate, geology, geomorphology, structural antecedents of the catchment. Morphometric analysis of a drainage basin expresses fully the state of dynamic balance that has been attained due to dealings between matter and energy. In the present study, morphometric analysis has been carried out using Geographical Information System (GIS) techniques to assess the geo-hydrological characteristics of Vishav drainage basin and an attempt has been made to identify the ground water potential zones through geo-morphometric specs. The morphometric parameters are discussed about linear, areal and relief aspects. The basin is characterized by dendritic to sub-dendritic drainage pattern. The development of stream segments in the basin area is affected by rainfall, groundwater discharge and snow melt over. The analysis has revealed that the total number and length of stream segments is maximum in first order streams and decreases as the stream order increases. The bifurcation ratio (Rb) between different successive orders varies revealing the geostructural control. The shape parameters (Rc=0.52, Re=0.15 and Rf=0.22) indicate the elongated shape of the basin and in association with some areal (Dd, Dt etc.) and relief (H, Sb, etc.) parameters show that it has low discharge of runoff, generally permeable subsoil condition, moderate to high infiltration capacity and good groundwater resource and a flatter peak of flow of longer duration that is easier to manage that of the circular basins. The study reveals that morphometric analysis based on GIS technique is a competent tool for geo-hydrological studies. These studies are very useful for identifying and planning the ground water potential zones and watershed management (including the whole gamut of natural resources connected with the basin).
MAPMAKER/EXP Version 3.0b: Though Used Since Time Immemorial Still Difficult for Beginners to Start with Map Construction for the Genetic Studies

With the advancement of molecular biology, interest in linkage map construction and QTL identification is growing among researchers day by day. Plant genome mapping and QTL analysis allows the identification of genes associated with economically important traits and the use of this information to further improve crops. So, we also attempted to construct a genetic linkage maps in our laboratory using more than one molecular marker systems and to analyze Quantitative Trait Loci (QTL) from the constructed linkage map. Every first time user finds many hurdles about the use of the software MAPMAKER. Though the problems were not very big but there was no one to tell us about the start of the software MAPMAKER and one by one commands to follow. So this article is written keeping in mind those beginners who are new to linkage map construction and QTL identification but it's their desire to find certain genes of interest in their test crop.
Predictive Ability of Dynamic Balance and Throwing Accuracy Assessment for In-Season Shoulder Injuries in Competitive Volleyball Athletes

Shoulder injuries are common in volleyball athletes. Although, research has shown the incidence of in-season shoulder injuries in this population, less is known about the ability of field-based tests to predict them. The purpose of this study was to examine whether assessment of dynamic balance and throwing accuracy performance of competitive volleyball athletes can predict in-season shoulder injuries. Thirty-nine volleyball athletes underwent dynamic balance assessment of the upper and lower extremities at the start of the season using the Y-Balance and Upper Quarter Y-Balance (UQYB) test, respectively. Furthermore, throwing accuracy was also examined using the Functional Throwing Performance Index (FTPI) test. Data collected at the end of the season were: injury, side and type of injury. Binomial logistic regression was conducted to ascertain whether the predictor variables could predict shoulder injury during in-season competition. Receiver operator characteristic (ROC) curve analysis was used to determine the cut-off scores for the statistically significant predictor variables. Twelve athletes sustained a shoulder injury during the season. From the five predictor variables, the Y-Balance Medial (p<0.05) and the UQYB Medial (p<0.05) were able to predict shoulder injuries with statistical significance. From calculating the Odds Ratios, this study found that those who scored less than the cut-off score on the Y-Balance Medial (117.6 cm) and the UQYB Medial (119.15 cm) were 2 and 1.6 times more likely to get injured in the shoulder complex, respectively. This study showed that the combination of upper and lower limb dynamic balance was able to predict in-season shoulder injuries. Key words: Y-Balance, Functional Throwing Performance Index, Shoulder, Volleyball
An automated speech recognition and feature selection approach based on improved Northern Goshawk optimization

Automatic speech recognition (ASR) approach is dependent on optimal speech feature extraction, which attempts to get a parametric depiction of an input speech signal. Feature extraction (FE) strategy combined with a feature selection (FS) approach should capture the most important features of the signal while discarding the rest. FS is a crucial process that can affect the pattern classification and recognition system's performance. In this research, we introduce a hybrid supervised learning using metaheuristic technique for optimum FE and FS termed Northern Goshawk optimization (NGO) and opposition-based learning (OBL). Pre-processing, feature extraction and selection, and recognition are the three steps of the proposed technique. The pre-processing is done first to lessen the amount of noise. In the FE stage, we extract features. The OBL-NGO method is used to pick the best collection of extracted characteristics. Finally, these optimised features are utilised to train the k-nearest neighbour (KNN) classifier, and the matching text is shown as the output based on these optimised characteristics of the provided input audio signal. The system's performance is outstanding, and the suggested OBL-NGO is best suited for ASR, according to the testing data.
THE CLIMBING PLANTS OF NORTHERN TELANGANA IN INDIA AND THEIR ETHNOMEDICINAL AND ECONOMIC USES

The medicinal and economic uses of climbing plants of five northern districts of Telangana, southern India are documented in the survey during 2008-2011. The climbers enumerated represent 204 specific and infra-specific taxa pertaining to 132 genera of 50 angiosperm families and two ferns. The climbing plants are of nine types of which the most dominant are twiners (55.39%), followed distantly by tendril climbers (19.12%), scramblers (15.68%) and branch climbers (4.90%). Far less in numbers (2-1%) are root climbers (1.47%), leaf climbers, hook climbers and watch-spring climbers (0.98%), and petiole climbers (0.50%). Of the climbers enumerated, 76% are wild and the rest either cultivated or naturalized. Northern Telangana proved to be a potential botanical province of a natural resource through climbers which are being used as medicinal plants, edibles, fodder, fiber, bio-fencing elements, insect repellants and ornamentals.
Structural networking of the developing brain: from maturation to neurosurgical implications

Modern neuroscience agrees that neurological processing emerges from the multimodal interaction among multiple cortical and subcortical neuronal hubs, connected at short and long distance by white matter, to form a largely integrated and dynamic network, called the brain “connectome. ” The final architecture of these circuits results from a complex, continuous, and highly protracted development process of several axonal pathways that constitute the anatomical substrate of neuronal interactions. Awareness of the network organization of the central nervous system is crucial not only to understand the basis of children’s neurological development, but also it may be of special interest to improve the quality of neurosurgical treatments of many pediatric diseases. Although there are a flourishing number of neuroimaging studies of the connectome, a comprehensive vision linking this research to neurosurgical practice is still lacking in the current pediatric literature. The goal of this review is to contribute to bridging this gap. In the first part, we summarize the main current knowledge concerning brain network maturation and its involvement in different aspects of normal neurocognitive development as well as in the pathophysiology of specific diseases. The final section is devoted to identifying possible implications of this knowledge in the neurosurgical field, especially in epilepsy and tumor surgery, and to discuss promising perspectives for future investigations.
Evaluating Participation in a Residential Recycling Program

The present study examined the effects of prompting, payment for material, a lottery, and frequency of collection on household participation in a residential recycling program. Homes in the lottery group demonstrated the greatest increase in participation followed by equivalent outcomes for the remaining three treatment areas and no change for the control group. A cost/benefit analysis indicated that none of the treatments were cost effective but that steps could be taken to alleviate this problem. Future directions for research within this area are examined. The fact that Americans discard over 190 million tons of waste products each year presents a behavioral problem of massive proportion to psychologists, environmentalists and urban planners [1 ] . Disposing of the nearly one ton of waste per person generated in 1975 cost state, federal and local governments more than three billion dollars; not including the costs associated with the environmental degradation and pollution incurred in the process [2]. As the national trash pile continues to expand, the need to alter the behavioral processes associated with our "throw away society" becomes increasingly apparent. Disposal is only one means of coping with the growing problem. Much of the material that is discarded is reuseable and can be recovered, saving energy as well [3]. For example, recycling old newspapers and aluminum cans into new products conserves 70 to 95 per cent of the energy required to produce the same products from raw materials [4]. Seventy-nine per cent of the nation's wastes are combustible and lend themselves as an alternative fuel to power electrical
The Physiological Requirements of and Nutritional Recommendations for Equestrian Riders

Equestrian sport is under-researched within the sport science literature, creating a possible knowledge vacuum for athletes and support personnel wishing to train and perform in an evidence-based manner. This review aims to synthesise available evidence from equitation, sport, and veterinary sciences to describe the pertinent rider physiology of equestrian disciplines. Estimates of energy expenditure and the contribution of underpinning energy systems to equestrian performance are used to provide nutrition and hydration recommendations for competition and training in equestrian disciplines. Relative energy deficiency and disordered eating are also considered. The practical challenges of the equestrian environment, including competitive, personal, and professional factors, injury and concussion, and female participation, are discussed to better highlight novelty within equestrian disciplines compared to more commonly studied sports. The evidence and recommendations are supported by example scenarios, and future research directions are outlined.
Role of Clinical Risk Factors and B-Type Natriuretic Peptide in Assessing the Risk of Asymptomatic Cardiotoxicity in Breast Cancer Patients in Kazakhstan

The asymptomatic progression of chemotherapy-induced cardiotoxicity poses a significant risk to breast cancer patients. In the present single-center cohort study, a predictive model for evaluating the risk of cardiotoxicity during or by the end of chemotherapy was designed. The risk-prediction nomogram was delineated and assessed. In total, 34 patients out of 120 developed asymptomatic cardiotoxicity (28.3%). Of six explored biomarkers, only B-type natriuretic peptide showed a reliable pattern of incremental increase, revealing statistical significance between cardiotoxicity “+” and “−” groups by visit 4 or by the 9th month of monitoring (p 0.006). The following predictors were included in the model: age, hypertension, diabetes mellitus, baseline glomerular filtration rate, 6 min walk test measured at visit 4, BNP values at visit 4, left ventricular ejection fraction levels at visit 4, a total dose of radiotherapy received, and anthracycline cumulative doses. The model’s AUC was 0.72 (95% CI 0.59; 0.86), evidencing the satisfactory predictive ability of the model; sensitivity 100% (95% CI 90.36; 100.0) at a specificity of 66.67% (95% CI 50.33; 79.79); PPV 54.1% [95% CI 47.13; 60.91]; PVN 100% [95% CI 94.64; 100.00]. The calibration plot showed satisfactory agreement between predicted and actual chances (p = 0.98). The designed model can be applied in settings lacking speckle tracking echocardiography.
Structural fabric of Krishna-Godavari basin on the eastern continental margin of India inferred from the analysis of land and satellite gravity data

Summary: Recent discovery of oil and gas deposits in the on land and offshore Krishna-Godavari basin has given new impetus to the hydrocarbon exploration on the Eastern Continental Margin of India (ECMI). Extensive geophysical surveys and borehole information has established the structural control for hydrocarbon accumulation in the Cretaceous and Eocene sediments. Complete Bouguer anomaly map of the region prepared after merging the Free-air satellite data over the ocean and onshore land gravity data depicts dominance of short wavelength linear highs and lows adjacent to margin resulting from basement depressions and ridges aligned parallel to the coast. In the offshore region, gravity anomalies show smooth positive gradient towards south east due to thinning of the continental crust ocean ward in response to the stretching of' lithosphere under the ECMI. Inversion of residual gravity anomalies, after removal of regional component from the Bouguer anomalies, in terms of single density interface has brought out basement depressions as deep as 7.5 km and ridges as shallow as 1.0 km in the KG basin which corroborate well with borehole and seismic results.
The Effect of Patient Gender and Undressing Method on Chest Exposure for the Treatment of a Gunshot Wound

Disrobing of a casualty on the battlefield is a key step in treatment to ensure injuries have been properly treated. Hesitancy to fully disrobe female patients may result in poorer treatment provided to female casualties. The goal of this study was to determine whether patient gender predicted the occurrence of complete or partial chest exposure and whether the type of undressing method predicted complete or partial exposure. Second, we sought to determine whether simulator gender, undressing method, and chest exposure predicted differences in the treatment of a gunshot wound (GSW) to the chest. Thirty-six soldiers treated GSW on male and female patient simulators. Complete chest exposures were more likely with male patients or when shears were used. For male patients, there were fewer errors, chest was exposed completely, and tearing methods were used. Results indicate opportunities to improve wound discovery and decrease GSW treatment errors, particularly for female patients.
COVID-19 Mortality and Severity in Cancer Patients and Cancer Survivors

Background We aimed to investigate mortality, severity, and risk of hospitalization in coronavirus disease 2019 (COVID-19) patients with cancer. Methods Data of all patients aged 40–79 years from the Korean Disease Control and Prevention Agency-COVID19-National Health Insurance Service who were diagnosed with COVID-19 between January 1, 2020 and March 31, 2022, in Korea were included. After 1:1 propensity score matching, 397,050 patients with cancer and 397,050 patients without cancer were enrolled in the main analysis. A cancer survivor was defined as a patient who had survived 5 or more years since the diagnosis of cancer. Multiple logistic regression analysis was performed to compare the risk of COVID-19 according to the diagnosis of cancer and time since diagnosis. Results Cancer, old age, male sex, incomplete vaccination against COVID-19, lower economic status, and a higher Charlson comorbidity index were associated with an increased risk of hospitalization, hospitalization with severe state, and death. Compared to patients without cancer, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for hospitalization, hospitalization with severe state, and death in patients with cancer were 1.09 (1.08–1.11), 1.17 (1.11–1.24), and 1.94 (1.84–2.05), respectively. Compared to patients without cancer, the ORs (95% CIs) for hospitalization in cancer survivors, patients with cancer diagnosed 2–5 years, 1–2 years, and < 1 year ago were 0.96 (0.94–0.98), 1.10 (1.07–1.13), 1.30 (1.25–1.34), and 1.82 (1.77–1.87), respectively; the ORs (95% CIs) for hospitalization for severe disease among these patients were 0.90 (0.85–0.97), 1.22 (1.12–1.32), 1.60 (1.43–1.79), and 2.29 (2.09–2.50), respectively. Conclusion The risks of death, severe state, and hospitalization due to COVID-19 were higher in patients with cancer than in those without; the more recent the diagnosis, the higher the aforementioned risks. Cancer survivors had a lower risk of hospitalization and hospitalization with severe disease than those without cancer.