Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the relationship of the amount of ascites as measured quantitatively using computed tomography with chemotherapy toxicity in patients with ovarian cancer

In this study, it was planned to investigate the effects of ascites and sarcopenia on treatment toxicity, disease free survival (DFS) and disease specific survival (DSS) times in a population of patients with stage 3–4 ovarian cancer. In this retrospective study that include 80 patients treated and followed-up for advanced stage ovarian cancer in a university hospital between 2012–2019, ascites volumes and sarcopenia indices of the patients were calculated by computed tomography from medical patient records, and their clinico-pathologic characteristics as well as laboratory variables were reviewed. The median survival was 30.10 ± 2.85 months for the patients with ascites and 54.26 ± 4.16 months without ascites (p < 0.001). The duration of DSS was found to be negatively affected in patients with ascites (Hazard Ratio (HR): 3.048), prognostic nutritional index (PNI) <47.5 (HR: 2.528), platelet (PLT) >338,000 (HR: 1.936), lactate dehydrogenase (LDH) value >320 (HR: 1.624), albumin value <4 (HR: 1.849). When factors that are found to have a significant relationship with DSS were assessed according to multivariate Cox regression analysis, the presence of ascites was identified as an independent risk factor associated with DSS (p: 0.004). The risk of developing grade 2 or 3 neutropenia, anemia and thrombocytopenia is significantly increased following the first chemotherapy course in patients with ascites when compared to those without ascites (p: 0.006). The presence of ascites in patients with ovarian cancer is a risk factor associated with chemotherapy toxicity and reduced survival.
Temporal distribution and taxonomic composition differences of larval fish in a large navigable river: A comparison of artificial dike structures and natural habitat

Distributions of larval fish in a regulated river were determined by sampling 15 sites in 2003 using larval fish light traps. Typical of large river systems in the Mississippi River drainage, collections in the Kanawha River were dominated (>93%) by Cyprinidae and Percidae species. Catch per unit effort (CPUE) along artificial dike structures were higher than CPUE along other shoreline sites, indicating the importance of these structures as nurseries. Taxonomic richness within artificial dike structures was greater than or equal to normal shoreline reference sites. Cyprinidae (Pimphales type and Notropis type) were collected significantly more on artificial structures than reference sites (p < 0.01). We collected higher numbers and observed greater CPUE of some sport fishes (Percidae) at the artificial dike structures. Percidae CPUE was significantly higher (p < 0.01) on artificial dike structures than reference sites. Percidae distribution appears to be positively influenced by the introduction of artificial dike structures in comparison to other abundant fish groups. Artificial dike structures encouraged taxonomic and larval fish diversity, and positively influenced some game fish species. The results of this study suggest that artificial dike structures are habitats that increase larval fish diversity in large, navigable rivers. Copyright © 2010 John Wiley & Sons, Ltd.
Adaptive Security Management Model for Networks

Adaptive security is considered as an approach in cybersecurity that analyzes events and against events and behaviors to protect a network. This study will provide details about the different algorithms being used to secure networks. These approaches are driven by a small quantity of labeled data and a massive amount of unlabeled data. In this context, contemporary semi-supervised learning strategies base their operations on the assumption that the distributions of labeled and unlabeled data are comparable. This assumption has a substantial influence on how well these strategies perform overall. If unlabeled data contain information that does not belong to a particular category, the efficiency of the system will deteriorate.
Self-Assembling Vectorial Curvature Sensing System Based on a Single Helix of Polarization-Maintaining Fiber

This article presents a novel composite vector bending sensing system capable of switching freely between wavelength and intensity modulation. The fundamental sensing unit of the system depends on an offset rotation twisted Mach–Zehnder interferometer (TW-MZI) with unique refractive index (RI) distribution characteristics proven through experiments. The sensing unit delivers remarkable performance in intensity modulation, reaching a maximum of 18.74 ± 0.01 dB/ $\text{m}^{-1}$ . The sensing unit features a nonuniform geometric distribution and utilizes polarization-maintaining optical fibers as its structural material, enabling it to detect the correlation of polarized light and recognize the bending direction. With these advantages, a quasi-parallel distributed curvature sensing system is constructed, integrating a Sagnac interferometer (SI) as the sensing reference arm combined with the TW-MZI sensing unit. Adjusting the interference length and optical power can obtain a first-order harmonic vernier spectrum. Additionally, the envelope differencing technique enhances the interference fringe contrast, reducing the reliance on the monitoring wavelength domain. This combination highlights the composite system’s wavelength modulation-based vector curvature sensing capability, achieving a maximum value of 15.59 ± 0.01 nm/ $\text{m}^{-1}$ . Moreover, this system exhibits characteristics such as low-temperature crosstalk, high stability, and rapid responsiveness, making it well suited for applications in medical device diagnostics, oil and gas pipeline inspection, and structural safety monitoring within the construction industry.
Effect of rainfall variability on crop yield under semi-arid conditions at sub-catchment level

Poverty, hunger and malnutrition amongst rural people in semi-arid areas where small scale farming is dominant are widely recognized as major problems. The fact that rural communities of southern Africa reside in marginalized areas which are characterized by low and highly variable rainfall that is poorly distributed exacerbates these problems. Most of their attempts at farming activities result in yields that are way below the expectation of farmers. Sometimes these dryland farmers experience complete crop failure leaving them with nothing to live on, or let alone sell and earn the much needed income. So how then, can a growing community whose main means of survival is at the mercy of nature feed itself? The challenge at hand is to determine how crop productivity can be improved in semi arid areas in the wake of erratic and low rainfall. This research is in line with both the Millennium Development Goal (MDG) number 1, which is to eradicate extreme poverty and hunger and the Poverty Reduction Strategy (PRS) which aim to increase national food security. Also the fight against the negative impacts of HIV/Aids cannot be won without the necessary basic nutrition. This investigation tried to investigate the effect of rainfall variability on crop yield under semi-arid conditions at meso-catchment level. Ten portable raingauges were installed at ten locations within Zhulube meso-catchment based on direction of prevailing wind and soil type. In addition to this, seven 10m*10m experimental maize plots were cultivated and a household survey was carried out to assess the farming practices that prevail in the area in order to understand their possible impacts on crop yield. Results have revealed that while there was temporal variability of rainfall in the study area, it was significant in the long-term and insignificant in the short-term. Spatial variation of rainfall was significant in Zhulube meso-catchment in the short-term. It was however not significant enough to cause significant differences in yield. Results from the household survey indicated that despite the villages cultivating common crops with maize being the most common, they exhibited variation in most of the critical farming practices. ,WATERnet
Effect of short-term bee bread on testicular cell development and testosterone level in male Sprague Dawley rats

Bee bread has been widely traditionally used for male fertility enrichment although limited scientific data are available on its effectiveness. Hence, the aim of this study was to determine the effect of bee bread on testicular cell development and testosterone level in male Sprague Dawley rats. In this study, 24 adult male Sprague-Dawley rats were selected and divided equally into four treatment groups (n = 6/group) which were Control (C: 0 g of bee bread/kg body weight), Treatment 1 (T1: 1 g of bee bread /kg body weight), Treatment 2 (T2: 2 g of bee bread /kg body weight) and Treatment 3 (T3: 3 g of bee bread /kg body weight). The bee bread was administered daily and orally according to the designated treatment groups using oral gavage for 28 days. After 28 days of treatment, rats were euthanised and testicular cell development and testosterone level were measured. Results showed that rats in the T2 group had thicker (P<0.05) seminiferous tubular diameter (STD) than the control group and higher (P<0.05) seminiferous epithelial height (SEH) compared to C and T1 groups. The testosterone level in the T1, T2 and T3 groups was significantly higher (P<0.05) compared to control. In conclusion, this study suggests that supplemented with 2 g of bee bread per kg body weight is likely to give a positive effect by improving testicular cells development and testosterone level in male Sprague Dawley rats.
Toward Inherently Safer Human-Robot Interaction Using Compliant Actuators With High Torque-to-Inertia Ratios and Low Torque-to-Stiffness Ratios

Existing robots rely on external sensors to detect and prevent potential human-robot collisions. However, with the growing demand for complex and high-speed human-robot interaction, robots with inherently safer actuators are becoming more desirable. Such robots offer robust protection against excessive impact force even when external sensors fail or become unavailable. Robot actuators with low reflected inertia and low effective stiffness are necessary to achieve mechanically safer human-robot interaction. This paper presents novel compliant actuators with high torque-to-inertia ratios and low torque-to-stiffness ratios without compromising the output torque and output stiffness of an actuator. Comparisons with existing actuators demonstrate that a robot with the proposed compliant actuators has a much lower effective mass sensed at the end-effector. Impact analysis is presented to verify the effectiveness of high torque-to-inertia ratios and low torque-to-stiffness ratios. To assess the performance of the proposed robot, a pose repeatability experiment is conducted, which shows that the end-effector position control precision is comparable to existing stiff robots despite the inherent compliance of the actuators. These compliant actuators can be used to build various human-friendly robots and are expected to improve the safety and reliability of human-robot interaction.
Investigating the automaticity of links between body perception and trait concepts

ABSTRACT Social cognition has been argued to rely on automatic mechanisms, but little is known about how automatically the processing of body shapes is linked to other social processes, such as trait inference. In three pre-registered experiments, we tested the automaticity of links between body shape perception and trait inference by manipulating cognitive load during a response-competition task. In Experiment 1 (N = 52), participants categorised body shapes in the context of compatible or incompatible trait words, under high and low cognitive load. Bayesian multi-level modelling of reaction times indicated that interference caused by the compatibility of trait cues was insensitive to concurrent demands placed on working memory resources. These findings indicate that the linking of body shapes and traits is resource-light and more “automatic” in this sense. In Experiment 2 (N = 39) and 3 (N = 70), we asked participants to categorise trait words in the context of task-irrelevant body shapes. Under these conditions, no evidence of interference was found, regardless of concurrent load. These results suggest that while body shapes and trait concepts can be linked in an automatic manner, such processes are sensitive to wider contextual factors, such as the order in which information is presented.
Health Management: Evaluating the Relationship between Organizational Factors, Psychosocial Risks at Work, Performance Management, and Hospital Outcomes

Introduction—Health system (HS) health organizations are complex and are in constant dynamic interaction with multiple elements, including political, environmental, societal, legal, and organizational factors, along with human components, such as human resources, patients, and other stakeholders. Objective—This research aimed to study three HS organizations, identifying and characterizing the elements of health organizations and the factors related to professionals, determining their influence on economic and financial performance results, as well as results related to the professionals and to the patients comprising the institutions. Method—A quantitative study was conducted in which data were collected through questionnaires from various sources to better understand and characterize the factors related to organizations, professionals, and patients (470 health professionals and 768 patients). To test the integrated evaluation model for health organizations, path analysis was used. Results—The results reveal that the organizational culture (OC) presents a positive relationship between the professional’s quality of life (QL) and the performance management (PM) of the professionals, along with a negative relationship with the psychosocial work risks (PWR). There is also a relationship between the OC and patient satisfaction (PS), professional job satisfaction (PJS), and economic and financial results (EFR). In the relationship between the processes and the results, there are significant relationships between PM and PJS and PWR and PJS. In terms of the results, there is a significant relationship between the EFR and the PS. Conclusions—This study contributes to a deeper knowledge of the factors that influence the quality of health organizations and their results and produces recommendations for health organizations to address the current challenges.
Enhancing Workplace Well-Being: A Multidimensional Approach to Person-Environment Fit

This review paper covers important gaps in the knowledge of Person-Environment Fit. PE fit is widely described as the compatibility between an individual and their work environment and more specifically the individual level criteria. However, there are several recurring issues in the P-E fit approach to stress, including a theoretical problem of inadequate distinction between different versions of fit; confusion between different functional forms of fit; and methodological problems relating to poor measurement of fit components and inappropriate analysis of the impact of fit on strain. Various studies and reviews have still fallen short of providing a comprehensive measure of PE fit, with most of the previous studies focusing exclusively on single fits of either person-job fit or person-organisation fit. Therefore, the current study aims to review the multidimensional measures of the PE fit study to gain a comprehensive view of the PE fit approach in enhancing workplace well-being. This study contributes to the occupational stress literature by delineating how the multidimensional measures of PE fit are associated with work-related stress and the possible outcomes related to both employees and organizational aspects indirectly. Future research may fill in these gaps and broaden the scope of the person-environment fit study.
An Empirical Analysis of S-CNN based Oral Tongue Squamous Cell Carcinoma

Oral cancer refers to malignant tumors that begin in the mouth and spread to other parts of the oral cavity. It is a well-known and widely-recognized kind of human cancer. Risk in oral cancer can be reduced by not using paan, reducing alcohol consumption, not smoking, covering lower lip when you go outside, and getting the HPV vaccine. If oral cancer is caught in its early stages, OTC treatments can be effective. Automatic oral cancer detection paves the way for quicker diagnosis. Using existing software in a novel way, the authors of “A Novel Method for Automatic Detection of Early-Stage Oral Cancer” set out to create a system that is accessible to non-specialists but nonetheless very accurate in its early detection of mouth cancer. To accomplish these goals and boost image quality while decreasing noise, an anisotropic diffusion filter is utilized in pre-processing. Image segmentation is performed using Fuzzy C-Means (FCM). The GLCM (Grey Level Co-Occurrence Matrix) is used for this. Energy, homogeneity, contrast, and correlation are the extracted textural features. Preprocessing, image segmentation, feature extraction, and model training are all used in the proposed method. GF is utilized in the preprocessing stage. It employs PFLSCM for application in image segmentation. It then employs sparse CNN for model training after employing GLCM for feature extraction. A comparison is made between the suggested method and two others, including CNN and SVM. The proposed method trumps the competition.
Multi-Verse Optimization for Two Stage CMOS Operational Amplifier Circuit Design

This research work proposes two variants of Multi-verse optimization (MVO) for optimal design of two stage CMOS opamp circuit. MVO is a nature-inspired global optimization algorithm, which uses the mathematical modelling of multi-verse (many universes) theory. Exploitation capability of MVO algorithm is enhanced by Brownian movement and cross-entropy (CE) in the two proposed versions of MVO namely MVO-BR and MVO-CE. Also, other popular metaheuristic optimization algorithms like differential evolution (DE), particle swarm optimization (PSO) and artificial bee colony (ABC) are applied to the selected design problem for verifying the validity of the proposed MVO based algorithms. Performance of the base MVO and the two enhanced versions are rigorously tested for optimality, robustness and convergence on the design of two stage opamp circuit. To compare the effectiveness of various algorithms, a new performance metric called “overall figure of merit” is applied along with existing metrics. By comparing the numerical results, it is demonstrated that the proposed MVO-CE algorithm provides high-quality design of two-stage opamp reliably with faster convergence than other algorithms.
Non-Invasive Assessment of Back Surface Topography: Technologies, Techniques and Clinical Utility

(1) Background: Frequent exposure to ionising radiation is often used to determine the diagnosis of adolescent idiopathic scoliosis (AIS), a lateral curvature of the spine in those aged between 10 and 18 years, and a treatment plan according to Cobb angle. This narrative review outlines the clinical utility of surface topography (ST), a radiation-free imaging modality. (2) Methods: Publicly available databases were searched to yield literature related to ST. Identified articles were classified based on the equipment used and in order of how it was developed, i.e., historical, recent developments, and state-of-the-art developments. (3) Conclusions: ST is a reliable cost-effective non-invasive technique that provides an alternative to radiation-based imaging to aid with the diagnosis and potential screening of AIS. Several scanning methods are available, which allows ST to be used in several clinical environments. Limitations of inter-reliability and differences of apparatus resulting in variations of data have been noted through this narrative review.
Biopsychosocial Problems and Coping Methods of Nurses During the COVID-19 Pandemic: A Descriptive and Cross-Sectional Study

Background: Studies have shown health care workers experience physical and psychological problems during the COVID-19. Aim: This study aimed to define nurses’ biopsychosocial problems and coping methods during the pandemic. Methods: This study was planned as a descriptive and cross-sectional study between 1 September and October 30, 2020, in the 1 st year of the pandemic. The sample of the study consisted of 438 nurses. An information form was used to collect the data, including the sociodemographic characteristics of the nurses, the problems they experienced during the pandemic, and their coping methods. Descriptive statistics such as frequency, percentage, mean and standard deviation were used to analyze the data. Results: The mean age of the nurses was 29.20 ± 6.38. The most intense emotions experienced by nurses during the pandemic period were fear, anxiety (31.7%); concern, doubtful-ness (22.9%); and fatigue, distress, and burnout (18.4%). The most important reason for their anxiety was infecting their family, loved ones, relatives, and children (44.3%). The sleep of 30.3% of nurses was irregular. The ways of coping with problems were talking with loved ones (14.8%), taking precautions to avoid getting sick (14.4%), doing activities (13.7%), and positive thinking (10.3%). Of them, 55.7% stated that they had worked in an inadequate and insecure environment. Conclusion: During the pandemic, nurses experienced biopsychosocial problems and worked in an inadequate and unsafe environment. Nurses should be supported in biopsy-chosocial and working conditions, including reducing busy working hours, increasing the number of nurses, and increasing the number and accessibility of equipment should be improved.
Screening of flooding tolerance in soybean germplasm collection.

: Soybean [ Glycine max. (L.) Merr] is one of the most important legumes in the world. However, soybean varieties are sensitive to flooding stress and their seed yields are substantially reduced in response to the flooding stress. 192 soybean germplasm collection was screened to identify flooding tolerant germplasm at an early vegetative growth stage (V1). Soybean plants at V1 stage were waterlogged for 4 to 10 days. To evaluate flooding tolerance, survival rate were investigated as a time dependent manner. Jangbaegkong, Danbaegkong, Sowonkongkong, Socheong2 and Suwon269 showed flooding tolerance, while Shillog, T201, T181, NTS1116 and HP-963 showed flooding sensitivity. We also investigated effects of flooding stress on soybean morphology. The adventitious root development was greatly increased in flooding tolerant plants compared to it in flooding sensitive plants. In addition, root length and root number were analyzed. The significant reduction of root length and root number was observed in flooding sensitive plants. Thus, these results indicate that the morphological changes in roots are important for acclimation to flooding stress. Taken together, the relationship between the morphological changes in the roots and flooding tolerance may be useful in selecting a flooding tolerant soybean germplasm.