Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of the status of depression and anxiety among leaders and staff in pharmacy intravenous admixture services in China

We aimed to investigate the status of depression and anxiety among leaders and staff in pharmacy intravenous admixture services (PIVAS) and analyze influencing factors to provide a reference for improving their mental health status. This study involved a multi-center cross-sectional survey. PIVAS leaders and staff from across China were invited to participate. The Generalized Anxiety Disorder-7 and 9-item Patient Health Questionnaire were used to measure the status of anxiety and depression. A multiple linear regression model was used to analyze influencing factors. In total, 137 PIVAS leaders and 501 staff were included in this study. The results showed that 43.8% (60/137) of the leaders had anxiety and 38.7% (53/137) had depression. Among staff, 47.3% (237/501) had anxiety and 46.5% (233/501) had depression. Multiple linear regression showed that for PIVAS leaders, the degree of recognition by doctors was associated with anxiety scores, whereas PIVAS charge standard, PIVAS profit and loss situation, and the degree of recognition by doctors were associated with depression scores. For PIVAS staff, satisfaction with working in PIVAS was associated with anxiety scores, and job title, working hours per day, and satisfaction with working in PIVAS were associated with depression scores. Depression and anxiety are common among PIVAS leaders and staff working in hospitals in China. Hospitals should implement measures to improve the mental health of PIVAS leaders and staff.
The Influence of Winter Snowpack on the Use of Summer Rains in Montane Pine Forests Across the Southwest U.S.

A two decade‐long megadrought, with likely anthropogenic causes, has impacted forest growth and mortality across the southwestern U.S. Given this event, and the future likelihood of similar climate challenges, it is important to understand how different water resources are used by semi‐arid forests in this region. Within the geographic domain of the North American Monsoon climate system, we studied seasonal water‐use in eight different Pinus ponderosa montane forests distributed across a climate gradient with varying contributions from winter and summer precipitation. We collected oxygen isotopes from precipitation, soil, and xylem water during two contrasting hydrologic years to determine how trees differentially use winter versus summer precipitation sources. Most trees switched from using snowmelt water as the primary source during the early‐summer hyper‐arid period, to monsoon rainwater during the late‐summer. However, during the low snowpack year, which represents the most common climate phenomenon during the megadrought, trees at all sites used less summer rain when compared to the higher snowpack year, demonstrating a drought‐induced antecedent influence of winter precipitation on the uptake of summer rain. A possible mechanism to explain the antecedent effect is an earlier snow disappearance during the low snowpack year weakening hydrologic connectivity within the soil profile, decreasing the soil infiltration of summer rains. However, in years with higher snowpack, the snow lasts longer, and this can improve the hydrologic connectivity within the soil profile. As a result, there is more infiltration of summer rains into the soils. This can enhance the maintenance of active shallow fine‐root biomass during the period when snowpack disappears, and monsoon rains have yet to arrive. These findings provide insight into how the seasonal interactions between major seasonal climate systems influence forest tree water use in the face of an extreme megadrought.
Evaluation of Caspase 8 Role as a Gene and Protein in Chronic Myeloid Leukemia Incidence

Chronic Myeloid Leukemia )CML( is a type of clonal hematopoietic stem cell disease marked by cytogenetic abnormalities induced by the growth and division of cells carrying the Philadelphia chromosome. The current research was carried out in Iraq to examine the link between Caspase 8 gene expression and Caspase 8 protein and the development of chronic myeloid leukemia (CML) in 100 samples (50 patients and 50 controls). There were differences in the expression of this gene between healthy controls and studied patients. The relationship between CML onset with age and gender was investigated in comparison to controls. The results revealed significant rises in the mean of Caspase 8 expression level (∆Ct) of patient groups in comparison to the related ∆Ct means in the healthy group, as well as significant differences in gene expression folding (2-∆∆Ct) of Caspase 8 gene, which reached (2.778) in CML patients, Caspase 8 protein levels were (0.1059 ng/ml) and There were considerable variations between CML patients and control groups. On the other hand, the results for gender and age of CML patients compared to controls indicated no significant differences for genders of CML patients and controls, and significant differences P <0.0001 for age of CML patients and controls, this result suggests that CML may afflict people of different ages and affect both men and women.
MASSIVE PARTICLE TUNNELING RATE OF KERR-NEWMAN-ANTI-DE SITTER BLACK HOLE BY HAMILTON-JACOBI METHOD

Using Parikh and Wilczek’s opinion tunneling rate of Hawking radiations of Kerr-Newman-anti-de Sitter (KNAdS) black hole has been investigated by Hamilton-Jacobi method. Involving the self-gravitation effect of the emitted particles, energy and angular momentum has been taken as conserved and considered the space time background as dynamical. The explored results shown that the massive particle tunneling rate is related to the change of Bekenstein-Hawking entropy and the derived emission spectrum deviates from the pure thermal spectrum.
Fast Equivalent Modeling of Cascaded Static Synchronous Compensator Under Higher Voltage

Cascaded STATCOM including huge number of sub-modules under higher voltage needs rapid modeling to analyze efficiently. This paper presents a discrete iterative algorithm based on equivalent modeling method, which can greatly simplify mathematical model of STATCOM under higher voltage. According to the mathematical properties of the sub-module DC capacitor, it is equivalent to a historical series branch voltage source with an equivalent resistance. By simplifying IGBT to equivalent variable resistor, H-bridge is simplified to an equivalent branch with PWMs. Control system can calculate each IGBT PWM pulse signal by embedding to the equivalent electric circuit. Created an iterative calculation algorithm for the equivalent circuit, and evaluated the two basic errors that are algorithm error and parameter error. By comparing ±100MVar STATCOM’s waves between field data and simulation data, it is proved correct that the rapid equivalent modeling method. In-depth comparison of the key parameters of the theory and simulation instructions, it is very close between the theory and the practice, and methods can greatly simplify the analysis and simulation calculations.
Improved K-means Algorithm with the Pretreatment of PCA Dimension Reduction

The improvements we have made are to get the optimal K value, to obtain the initial cluster centers and to calculate the distance by the feature weight. Meanwhile, to cater to the characters of dataset, the IWK-means algorithm uses the principal component analysis (PCA) method as a pretreatment to reduce the dimension of dataset. Finally, the proposed method is experimentally validated on the datasets from the UCI Machine Learning Repository and compared with the existing clustering algorithms by the two evaluation criteria of Rand Index and Adjusted Rand Index
Mesh adaptation framework for embedded boundary methods for computational fluid dynamics and fluid‐structure interaction

Embedded Boundary Methods (EBMs) are often preferred for the solution of Fluid‐Structure Interaction (FSI) problems because they are reliable for large structural motions/deformations and topological changes. For viscous flow problems, however, they do not track the boundary layers that form around embedded obstacles and therefore do not maintain them resolved. Hence, an Adaptive Mesh Refinement (AMR) framework for EBMs is proposed in this paper. It is based on computing the distance from an edge of the embedding computational fluid dynamics mesh to the nearest embedded discrete surface and on satisfying the y+ requirements. It is also equipped with a Hessian‐based criterion for resolving flow features such as shocks, vortices, and wakes and with load balancing for achieving parallel efficiency. It performs mesh refinement using a parallel version of the newest vertex bisection method to maintain mesh conformity. Hence, while it is sufficiently comprehensive to support many discretization methods, it is particularly attractive for vertex‐centered finite volume schemes where dual cells tend to complicate the mesh adaptation process. Using the EBM known as FIVER, this AMR framework is verified for several academic FSI problems. Its potential for realistic FSI applications is also demonstrated with the simulation of a challenging supersonic parachute inflation dynamics problem.
Le groupe " Palaeochelys sensu lato – Mauremys " dans le contexte systématique des Testudinoidea aquatiques du Tertiaire d'Europe occidentale : Apports à la biostratigraphie et à la paléobiogéographie

Parmi les Testudinoidea (sensu Gaffney & Meylan, 1988 ; Chelonii, Cryptodira) aquatiques du Tertiaire d'Europe occidentale, le groupe " Palaeochelys sensu lato – Mauremys " est defini ainsi que celui des " Ptychogasteridae ", ces groupes sont replacees dans leur contexte paleobiogeographique. Les taxons du complexe " Palaeochelys sensu lato - Mauremys " auparavant rapportes a Ocadia, Palaeochelys, Clemmys, Emys. Sont redefinis, de nouveaux taxons sont decrits ainsi que de nouveaux taxons de " Ptychogasteridae ". Le cadre systematique et phylogenetique des Testudinoidae est etudie, les differentes phylogenies proposees (Hirayama, 1985 ; Gaffney & Meylan, 1988) sont critiquees, des hypotheses sont envisagees. Deux analyses de parcimonie sont effectuees avec 30 taxons terminaux du groupe " Palaeochelys sensu lato – Mauremys " et deux extra-groupes (Platysternon megacephalum et Elkemys australis) ; 54 caracteres anatomiques de la carapace sont decrits. Une hypothese alternative de relations phylogenetiques (non informatisee) est proposee a l'issu des resultats obtenus pour ce groupe. Un catalogue actualise des gisements tertiaires francais a cheloniens est donne. La repartition biostratigraphique et paleobiogeographique des differents groupes de cheloniens continentaux est etudiee montrant l'interet paleoenvironnemental et paleoecologique de ceux-ci et leurs limites biostratigraphiques.
Analysis and Verification of the Temperature Drift Characteristics of MEMS Resonant Sensors During Power-On Startup

In practical applications, the quick startup of microelectromechanical systems (MEMS) sensors is particularly crucial, and the temperature drift during a power-on startup has become a major concern. In this article, a universal analysis method for temperature variation during the power-on startup of MEMS resonant sensors is proposed. In this research, a 1-D simplified thermal resistance model was established by quantitatively calculating the equivalent thermal power consumption of the complete heat source and the equivalent thermal resistance of different heat transfer methods. The device startup temperature drift characteristics were verified via finite element analysis with the system based on the printed circuit board (PCB) as an example. The experimental results showed that the method correctly predicted the temperature drift and stabilization time after startup with an error of < 10%. The goal of this research was to advance the theoretical study of MEMS sensors during the power-on startup and to provide an accurate temperature field model for future design optimization and error correction.
Nature, stability and determinants of multi-target commitment profiles: a longitudinal person-centered approach

ABSTRACT Adopting a longitudinal person-centred perspective, we examined the profiles of employee commitments to the organization, supervisor, occupation, work team, and family in a diversified sample of employees (N = 1459) surveyed three times at one-month intervals during the COVID-19 pandemic. In line with recent developments in research on commitment towards multiple targets, these profiles were estimated while considering employees’ global levels of commitment to their work life (across targets) as well as the specific nature of their commitment to each target. Our results revealed six distinct commitment profiles differing quantitatively and qualitatively from one another and defined by employees’ global and target-specific levels of commitment. These profiles were replicated across the three measurement points. Profile membership was moderately to highly stable over time but also demonstrated some malleability. Lastly, we found that employees’ levels of basic psychological need satisfaction at work and perception of work meaningfulness predicted membership into more favourable commitment profiles.
Field Exploration of Methane Seep Near Atqasuk

Methane (CH{sub 4}) in natural gas is a major energy source in the U.S., and is used extensively on Alaska's North Slope, including the oilfields in Prudhoe Bay, the community of Barrow, and the National Petroleum Reserve, Alaska (NPRA). Smaller villages, however, are dependent on imported diesel fuel for both power and heating, resulting in some of the highest energy costs in the U.S. and crippling local economies. Numerous CH{sub 4} gas seeps have been observed on wetlands near Atqasuk, Alaska (in the NPRA), and initial measurements have indicated flow rates of 3,000-5,000 ft{sup 3} day{sup -1} (60-100 kg CH{sub 4} day{sup -1}). Gas samples collected in 1996 indicated biogenic origin, although more recent sampling indicated a mixture of biogenic and thermogenic gas. In this study, we (1) quantified the amount of CH{sub 4} generated by several seeps and evaluated their potential use as an unconventional gas source for the village of Atqasuk; (2) collected gas and analyzed its composition from multiple seeps several miles apart to see if the source is the same, or if gas is being generated locally from isolated biogenic sources; and (3) assessed the potential magnitude of natural CH{sub 4} gas seeps for future usemore » in climate change modeling. « less
Is Political Science (Still) Ignoring Religion? An Analysis of Journal Publications, 2011–2020

ABSTRACT Political scientists involved in the study of religion have expressed concerns that religious themes have yet to be fully integrated into the mainstream of the discipline. According to a study of articles published in leading political science journals during the first decade of the twenty-first century, papers engaging with religion were relatively few in number and highly concentrated in only a few thematic and disciplinary areas. This article presents an updated analysis of the extent to which political science has engaged with the topic of religion by examining journal outputs for the period 2011–2020. The study finds no significant change in the patterns identified by the earlier research. Despite an overall increase in the quantity of political science articles on the subject of religion, the overall proportion has been relatively static, and the thematic and disciplinary focus of outputs remains narrow.
Parameter optimization for selective harvesting in cauliflower (Brassica oleracea) using response surface methodology

Manual harvesting of cauliflower (Brassica oleracea var. botrytis) is time-consuming, costly, and labour-intensive, necessitating the development of mechanized solutions. This research focuses on optimizing the operating parameters, namely the shaft angular speed and forward speed, for developing the intelligent selective harvesting prototype of cauliflower to enhance harvest success, reduce damage, and minimize cycle time. A laboratory setup was established at ICAR-Indian Agricultural Research Institute, New Delhi during 2022–23, which consisted of a prototype harvesting unit, prototype pulling unit, and plant holding unit. The physical properties of two cauliflower varieties, Pusa Meghna, and Pusa Sharad, were measured. An experimental plan was designed to optimize the operating parameters using response surface methodology (RSM) to enhance performance. The optimized forward speed and shaft angular speed were found to be 0.62 km/h, and 0.36 rad/s, respectively. Regression models were developed to predict all responses for varieties and all prediction errors were found to be less than ±10%, indicating the reliability of the developed models. The study aimed to help in the development of an intelligent cauliflower harvester suitable for small-scale growers in India.
CT radiomics model for predicting the Ki-67 proliferation index of pure-solid non-small cell lung cancer: a multicenter study

Purpose This study aimed to explore the efficacy of the computed tomography (CT) radiomics model for predicting the Ki-67 proliferation index (PI) of pure-solid non-small cell lung cancer (NSCLC). Materials and methods This retrospective study included pure-solid NSCLC patients from five centers. The radiomics features were extracted from thin-slice, non-enhanced CT images of the chest. The minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to reduce and select radiomics features. Logistic regression analysis was employed to build predictive models to determine Ki-67-high and Ki-67-low expression levels. Three prediction models were established: the clinical model, the radiomics model, and the nomogram model combining the radiomics signature and clinical features. The prediction efficiency of different models was evaluated using the area under the curve (AUC). Results A total of 211 NSCLC patients with pure-solid nodules or masses were included in the study (N=117 for the training cohort, N=49 for the internal validation cohort, and N=45 for the external validation cohort). The AUC values for the clinical models in the training, internal validation, and external validation cohorts were 0.73 (95% CI: 0.64–0.82), 0.75 (95% CI:0.62–0.89), and 0.72 (95% CI: 0.57–0.86), respectively. The radiomics models showed good predictive ability in diagnosing Ki-67 expression levels in the training cohort (AUC, 0.81 [95% CI: 0.73-0.89]), internal validation cohort (AUC, 0.81 [95% CI: 0.69-0.93]) and external validation cohort (AUC, 0.78 [95% CI: 0.64-0.91]). Compared to the clinical and radiomics models, the nomogram combining both radiomics signatures and clinical features had relatively better diagnostic performance in all three cohorts, with the AUC of 0.83 (95% CI: 0.76–0.90), 0.83 (95% CI: 0.71–0.94), and 0.81 (95% CI: 0.68–0.93), respectively. Conclusion The nomogram combining the radiomics signature and clinical features may be a potential non-invasive method for predicting Ki-67 expression levels in patients with pure-solid NSCLC.
Leaching of Copper Concentrates with Iodized Salts in a Saline Acid Medium: Part 2—Effect on Chloride Concentration and an Aerated System

To enhance the leaching of chalcopyrite concentrates, this study evaluated a new process for extracting copper using iodized solutions and sulfuric acid diluted in seawater without pressure or high temperatures. The work involved a leaching test carried out under various conditions by varying the concentrations of chloride ions, H2SO4, and an evenly distributed oxygen supply in an aeration system. It was demonstrated that Cl− ion addition could promote the chalcopyrite-leaching process. The leaching efficiency of copper reached 70% after 96 h. However, a chloride ion dosage excess can have the opposite effect on extraction, reducing copper recovery. XRD and SEM-EDS results showed that cuprous chloride (CuCl) was formed at high dosages (>0.5 M); meanwhile, at a lower dosage, elemental sulfur (S) was formed in the presence of sulfuric acid solution and seawater medium. In contrast, in an aerated system, surface roughness markedly increased due to continuous oxidation on the surface of the ore. This change in morphology and the high value of the redox potential, given by the aerated system and the acidic environment, allowed copper recovery of up to 70% after 96 h. The results showed that an aerated system is the most effective factor in chalcopyrite concentrate leaching.
Contribution towards understanding the categorisation of landforms.

Categorisation in the geographic domain, including landform categorisation, is more subject to influence by cultural, linguistic, environmental and individual factors, than other domains. The study presented in this dissertation investigates the influence of landscape variation on the landform categories used by non-experts. Video-elicitation methods were used in interviews with inhabitants of two distinct landscape types, in Portugal. One study site was mountainous and topographically varied, while the other consisted of more homogenous, gently undulating terrain. Interview responses indicated that participants used more landform terms in descriptions of familiar landscapes. Specific place recognition was another stimulant for an increase in landform categorisation detail. Additionally, the participant group from the more homogeneous landscape had a smaller landform vocabulary, and primarily used variations on a core set of landform terms to describe topographic eminences. The other group had a much larger and more varied vocabulary. A Digital Elevation Model (DEM)-based landform classification compared well with participant landform categories at a macro scale. A qualitative analysis of participant responses suggested that their drivers for categorisation are the salient features of the landscape (such as elevation and land cover), as well as utilitarian motivations (such as land-use, context and familiarity). This dissertation demonstrates the use of Geographic Information Systems (GIS) as a tool in the study of landscape in language. It also provides a contribution towards the development of formal landform concept representations in conceptual spaces and ontologies.
Impact of Battery Ramp Rate Limit on Virtual Synchronous Machine Stability During Frequency Events

The fast growing penetration of renewable energy sources has led to increasing retirement of conventional power plants, which affects operational stability of electricity networks. Therefore, researchers have proposed virtual synchronous machine (VSM) techniques for inverter-based renewable generators to address the related instability issues. However, most of the studies consider a stiff or infinite DC source of VSMs, which does not reflect the reality of battery storage with limited ramp rates. In this article, a thorough investigation has been conducted to evaluate the impacts of VSM battery ramp rates on system stability during frequency events. Then, the mechanism of VSM instability with slow ramp rates has been analysed. The results show that the system may lose stability during the frequency events since the ramp rate significantly impacts the energy delivered during such contingency. The eigenvalues analysis has also been performed to investigate the impact of ramp rate limit on system stability. Potential solutions are proposed after analysing the mechanism of this instability, such as reducing the AC voltage control speed. This also reveals that VSMs with DC ramp rate restriction can not achieve a high AC voltage loop bandwidth as the traditional synchronous machines.