Miracle-dz/UniFAR-FTUs huggingface dataset:
Discrepancies of energy values in dynamics of three intersecting plates

In this paper we discuss the discrepancies between results reported in the literature in the context of dynamics of shell structure composed of three intersecting plates. The shell structure is subjected to a system of spatially uniformly distributed dead loads of prescribed time variation. Once the forces die out, the structure experiences free motion. The comparison of reported solutions from the literature shows that the total energy in free motion has different values, despite the fact that the same material, geometry and loads have been used. The aim of study is to address the issue by referring own results to that known from the literature. Copyright © 2008 John Wiley & Sons, Ltd.
COVID-19 vaccine-hesitancy is associated with lower cortical volume in elderly individuals.

Background According to a large number of scientific reports, the main problem is COVID-19 vaccine hesitancy which slowed down the vaccination program. Previous studies revealed that COVID-19 vaccine hesitancy is associated with lower cognitive performance. However, the neurobiology of such behavior is less known, and investigating the brain structural patterns in this regard can extend our knowledge on the basis of this behavior. This study aimed to investigate the link between brain structural features including cortical and subcortical volume with COVID-19 vaccine hesitancy in elderly individuals. Methods A total of 221 healthy subjects without any cognitive impairment with a mean age of 63.7 ± 6.1 were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Overall, 87 vaccine-hesitant (VH) and 134 vaccine-accepted (VA) were entered into this study. The difference in the volume of cortical and subcortical regions was investigated between VH and VA groups. Results There was no significant difference in cognitive status measured by MMSE, MoCA, ADAS-cog, and RAVLT between VA and VH groups (P>0.05). The analysis showed that VA subjects had significantly higher left pars orbitalis (P: 0.013), left precentral (P: 0.042), right caudal anterior cingulate (P: 0.044), and right isthmus cingulate (P: 0.013) volume compared to the VH group. There was no significant difference in other cortical and subcortical regions. Conclusion In conclusion, this finding demonstrated that in the era of complicated decision-making due to social media reports, elderly adults with smaller frontal and cingulate regions are more likely to be vaccine-hesitant. These findings can highlight the link between cortical regions and health-protective behaviors such as taking up the offer of vaccination.
Phytochemical Compounds of Raw Versus Methanol-Extracted Kelulut, Tualang, and Manuka Honeys

Honey has been widely used for medicinal purposes since ancient times. It is produced by stinging bees or stingless bees by processing the collected nectar or plant sap in their bodies into raw honey. Extraction of honey will result in the pooling of crude volatile bioactive materials that could enhance its benefits. This work aims to compare the phytochemical characteristics of raw and methanol-extracted honeys in the Kelulut, Tualang and Manuka honeys. All types of raw honey samples were extracted by using the methanol extraction method and both groups were analysed using gas chromatography/mass spectrometry (GC/MS) at the National Poison Centre, Universiti Sains Malaysia, Malaysia. The findings showed that 23 compounds were identified in raw Kelulut honey and 18 compounds in methanol-extracted Kelulut honey; 28 compounds were identified in raw Tualang honey and 29 compounds in methanol-extracted Tualang honey; 19 compounds in raw Manuka honey and 22 compounds in methanol-extracted Manuka honey. There were differences in the phytochemical substances detected in raw and methanol-extracted honeys. The major compounds in raw honeys were mostly from the ketone, alcohol, and ester groups, whereas the ketone group was dominant in methanol-extracted honeys. Most bioactive substances identified in the methanol-extracted variant of honeys were more concentrated than the raw variant. A majority of these substances have antimicrobial characteristics.
On effective temperatures and electron spin polarization in storage rings

This note is a summary of the author`s views on the subject of effective temperatures (and the Unruh temperature in particular) in accelerators. Unruh analyzes the response to vacuum fluctuations of a linearly accelerated two-level atom serving as a detector and shows that the relative populations of the two states are given by a boltzmann factor with kT = {h_bar}a/2{pi}c, where a is the acceleration. The inference is that the detector is immersed in a black-body spectrum of Unruh radiation at the Unruh temperature. He refers to these ideas as the Unruh effect.
Tubal re-anastomoses through a mini-laparotomy incision

To assess the feasibility and reproducibility of tubal anastomosis through a mini-laparotomy incision. Study design is descriptive case study at Academic Medical Center. Sixteen patients with previous tubal sterilization requesting for tubal re-anastomosis. Systematization of the operative steps for tubal re-anastomosis using a mini-laparotomy incision. Primary outcome measures were feasibility and reproducibility; secondary measures were tubal patency, operative time, complications, and ergonomic qualities. The 31 tubes were successfully re-anastomosed and patency was confirmed. The mean surgical time was 15 minutes per tube. Tubal re-anastomosis after tubal sterilization can be performed through a mini-laparotomy incision. Systematization of the operative steps allowed the performance of the operation at speed. More extensive series and follow-ups are needed to assess post-operative pregnancy rates.
Impact of four‐dimensional data assimilation (FDDA) on urban climate analysis

This study investigates the impact of four‐dimensional data assimilation (FDDA) on urban climate analysis, which employs the NCAR (National Center for Atmospheric Research) WRF (the weather research and forecasting model) based on climate FDDA (CFDDA) technology to develop an urban‐scale microclimatology database for the Shenzhen area, a rapidly developing metropolitan located along the southern coast of China, where uniquely high‐density observations, including ultrahigh‐resolution surface AWS (automatic weather station) network, radio sounding, wind profilers, radiometers, and other weather observation platforms, have been installed. CFDDA is an innovative dynamical downscaling regional climate analysis system that assimilates diverse regional observations; and has been employed to produce a 5 year multiscale high‐resolution microclimate analysis by assimilating high‐density observations at Shenzhen area. The CFDDA system was configured with four nested‐grid domains at grid sizes of 27, 9, 3, and 1 km, respectively. This research evaluates the impact of assimilating high‐resolution observation data on reproducing the refining features of urban‐scale circulations. Two experiments were conducted with a 5 year run using CFSR (climate forecast system reanalysis) as boundary and initial conditions: one with CFDDA and the other without. The comparisons of these two experiments with observations indicate that CFDDA greatly reduces the model analysis error and is able to realistically analyze the microscale features such as urban‐rural‐coastal circulation, land/sea breezes, and local‐hilly terrain thermal circulations. It is demonstrated that the urbanization can produce 2.5 k differences in 2 m temperatures, delays/speeds up the land/sea breeze development, and interacts with local mountain‐valley circulations.
Citric Acid-Based Intrinsic Band-Shifting Photoluminescent Materials

Citric acid, an important metabolite with abundant reactive groups, has been demonstrated as a promising starting material to synthesize diverse photoluminescent materials including small molecules, polymers, and carbon dots. The unique citrate chemistry enables the development of a series of citric acid-based molecules and nanomaterials with intriguing intrinsic band-shifting behavior, where the emission wavelength shifts as the excitation wavelength increases, ideal for chromatic imaging and many other applications. In this review, we discuss the concept of “intrinsic band-shifting photoluminescent materials”, introduce the recent advances in citric acid-based intrinsic band-shifting materials, and discuss their potential applications such as chromatic imaging and multimodal sensing. It is our hope that the insightful and forward-thinking discussion in this review will spur the innovation and applications of the unique band-shifting photoluminescent materials.
Liming and micronutrient application improves soil properties and productivity of the groundnut‐rapeseed cropping system in an acidic Inceptisol of India's eastern Himalayas

Aluminum toxicity, nutrient imbalance, and reduced microbial activity are the most limiting factors for optimum agronomic productivity in acid soils. A field study was conducted to investigate the impact of micronutrient and liming on soil properties and productivity of groundnut‐rapeseed system in an acidic Inceptisol. The impact of six micronutrient (control or no micronutrient, Zn at 5 kg ha−1, B at 1 kg ha−1, Mo at 0.5 kg ha−1, Zn + Mo, and Zn + B + Mo) and two soil amendment (furrow liming at 500 kg ha−1 and no lime addition) treatments were first tested in groundnut and theirs residual effects were assessed on soil properties of succeeding rapeseed crop. Results indicated that liming significantly improved soil pH, soil organic carbon (SOC), available N, P and K, and diethylene triamine penta acetate (DTPA)‐extractable micronutrients, soil microbial biomass C and dehydrogenase activity as compared to no‐lime. After harvesting groundnut, Mo + Zn + B treated plots maintained the highest SOC content, whereas sole B and Mo treatment had the highest SOC content after harvesting rapeseed. Further, Mo + Zn + B treated plots showed higher contents of soil DTPA‐extractable micronutrients as compared to others. The highest groundnut equivalent yield (GEY) of the cropping system (pooled data of 2 years) was obtained with Mo + Zn + B (2.12 Mg ha−1) but remained at par with Zn + Mo (2.02 Mg ha−1). Multivariate principal component analysis indicated that available P was the most prominent soil nutrient with a strong effect on GEY. The results indicated that integrated application of Zn + B + Mo along with liming improves soil properties and agronomic productivity of groundnut‐rapeseed cropping system.
The Flavonoid Chrysin Protects against Testicular Apoptosis Induced by Torsion/Detorsion in Adult Rats

In the present work, we examined the beneficial efficacy of chrysin as a natural flavonoid on testicular torsion/detorsion damages among adult male rats. Forty-eight male Wistar rats were randomly allocated into six groups: sham, torsion/detorsion (TD) group, TDC30 group in which TD process was applied and treated with chrysin (30 mg/kg), TDC50 group in which TD process was applied and treated with chrysin (50 mg/kg), HC30 group in which animals were treated with chrysin (30 mg/kg), and HC50 group in which rats were treated with chrysin (50 mg/kg). Serum samples were tested for testosterone, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) levels. The sperm parameters, histopathological analysis, and expressions of apoptosis-related genes were examined among different groups. Superoxide dismutase (SOD), glutathione peroxidase (GPx), and malondialdehyde (MDA) levels in the testicles and serum were measured. Serum levels of SOD, GPx, FSH, LH, and “Bax” expression significantly increased in the TD group compared to the sham group ( P < 0.05 ). Sperm parameters, serum testosterone level, Johnson’s scores, seminiferous tubule diameter, the height of the germinal epithelium (HE) measurements, and expression of “Bcl2” meaningfully decreased ( P < 0.05 ). Administration of chrysin impeded ischemia/reperfusion damages in testis tissue and improved sperm quality. The result of our study indicates that treatment with chrysin can protect testis tissue from ischemia/reperfusion damages induced by TD procedure.
Identification of tipping years and shifts in mesozooplankton community structure using multivariate analyses: a long-term study in southern North Sea

Many previous studies on the changes in zooplankton communities considered only subsets of the total community. In this study, we investigated the temporal dynamics of the mesozooplankton community structure, considering all taxa (holo- and meroplankton) sampled over the last five decades at Helgoland Roads. We identified two tipping years. The first one occurred in 1983, which is consistent with previous studies conducted on copepods. The second shift, even more pronounced, took place in the mid-2000s. During the first shift, most taxa significantly increased in abundance and kept high densities until the end of the 1990s. Then, we observed in the mid-2000s a sharp decrease in community diversity and abundances of almost all taxa. One of the aims of the study was to test the robustness depending on the choice of taxa. To test this, we selected different subsets of the total zooplankton community, both randomly as well as based on functionality. We observed very similar trends over time for all groups, showing the complete community experienced the same changes. However, the timing of the tipping years depended on the organisms considered. These results highlight that the observed changes in the planktonic community are surprisingly robust and visible in most planktonic organisms.
Large amplitude free vibration of nanotube-reinforced composite doubly curved panels resting on elastic foundations in thermal environments

A large amplitude vibration analysis is presented for nanocomposite doubly curved panels resting on elastic foundations in thermal environments. The doubly curved nanocomposite panels are studied with the consideration of different types of distributions of uniaxial aligned single-walled carbon nanotubes (SWCNTs). The material properties of the functionally graded carbon nanotube-reinforced composites (FG-CNTRCs) are assumed to be graded in the thickness direction according to linear distributions of the volume fraction of CNTs and are estimated through a micromechanical model. The motion equations are based on a higher order shear deformation theory and von Kármán strain-displacement relationships. The thermal effects are also included and the material properties of CNTRCs are assumed to be temperature-dependent. The motion equations are solved by a two-step perturbation approach to determine the nonlinear frequencies of the CNTRC doubly curved panel. The numerical illustrations cover small- and large-amplitude vibration characteristics of CNTRC doubly curved panels resting on Pasternak elastic foundations. The present solutions also highlight the effects of CNT volume fraction, temperature variation, foundation stiffness, panel curvature ratio as well as in-plane boundary conditions on the nonlinear free vibration behaviors of CNTRC doubly curved panels.
Pull-out Problem With Elasto-plastic Matrix

The pull-out problem has frequently been solved in cracking of composite structures. Previously, several numerical studies were carried out using the FEM, [4], and the BEM, [5], and the results were compared with available literature having mainly been focused on experiments. The comparison of both numerical and experimental results were in a good agreement. A remarkable feature of the mathematical solution occurred: a cracking was initiated not only at the face of the fiber-matrix system but also inside the trial body. As the previous formulations accepted the linear behavior of both the fiber and the matrix only, a natural question arises: what happens when the matrix will behave more realistic, i. e. the material of the matrix will obey the von Mises-Huber-Heiicky criterion of plasticity. The answer to this question is the objective of this paper.
Influences of environment perception and social media communication via brand loyalty on the intention to buy green products among Vietnamese youth

Environmental issues are becoming more and more people's concern. One of them is social media, which attracts numerous young people to operate and interact far beyond geographical limits. The purpose of the study is to build a novelty research model by combining the Theory of Planned Behavior (TPB) to measure customer intentions in terms of environmental perception and influencing factors of social media communication through brand loyalty. The authors initially used the ground theory to review literature on previous studies, identified gaps in research, built research models, as well as proposed hypotheses between constructs. The qualitative research method was used in a focus group interview to evaluate and adjust the official questionnaire before measuring the concepts study. The quantitative research method was used after having an official survey and scale with 282 Vietnamese Gen Z to evaluate indicators to measure by SmartPLS software for assessment. This study identified hypotheses about the relationship between electronic word of mouth (EW) and online communities (OC), which have positive effects on brand loyalty (BL), significantly affecting green purchasing intentions (GPI). In addition, the relationships between environmental knowledge (EK), attitude towards green products (AT), subjective norm (SN), electronic word of mouth (EW), online communities (OC), online advertising (OA), and brand loyalty (BL) directly affect the green purchasing intention of Vietnamese Gen Z. The findings of the study will contribute to both scholars and practitioners to a theoretical framework for the impact of environmental perception, social media communication through brand loyalty, and green purchase intention of younger generation consumers.
Numerische Verfahren der Optimalsteuerung von Magnetfeldern

This thesis investigates optimal control problems related to electrical circuits and Maxwell equations. For this purpose we discuss optimal control problems with linear elliptic-parabolic partial differential equations and box constraints. Some different models will be defined and explained. Models related to the Maxwell equations will be discussed in the vector potential form. In all models we derive the existence and uniqueness for involved differential equations. Furthermore we derive the first-order necessary optimality conditions for all optimal control problems. This will be done by the formal Lagrange-technique. The coupling between elliptical and parabolic partial differential equations constitutes the biggest challenge. We show algorithms to solve the optimal control problems numerically. The main focus is that these algorithms are stable for big systems and practice relevant physical constants. For example a value of 0 for electrical conductivity in non-conducting regions and 10 in conducting regions is used. Finally we discuss numerical solutions of the different models. Particularly we consider numerical so-
Stunting Countermeasures Intervention Model in Remote Areas of Banyuwangi Regency East Java

Stunting in toddlers becomes a chronic nutritional problem. Factors that cause stunting are maternal nutrition during pregnancy, socioeconomic conditions, infectious diseases in infants, access to health services, reproductive health, sanitation and clean water. This study aims to analyze stunting prevention intervention models in remote areas of Sukamade, Banyuwangi Regency. This study is an analytical observational study with a quantitative approach. Data collection techniques by interview and observation using a questionnaire. The sampling technique used a total sampling with a sample size of 42 toddler households. The analysis technique used is the Structural Equation Models (SEM) equation model, an alternative method of PLS. The final results show that environmental variables have a significant effect on stunting. The latent variable that affects the stunting variable is the environmental variable. It is necessary to create an intervention model that takes into account the need for safe drinking water by maintaining water sources and water quality.
The Iterative Minimum Cost Spanning Tree Problem

The minimum cost spanning tree problem consists in constructing a network of minimum cost that connects all agents to the source and distributes the cost among the agents in a fair way. We develop a framework for the iterative minimum cost spanning tree problem. In the iterative setting, agents arrive over time and desire to be connected to a source in different rounds in order to receive a service from the source. We provide an algorithm for the iterative minimum cost spanning tree problem in order to connect the agents from the different rounds to the source in a minimal way. Moreover, we discuss the complexity of the algorithm. To divide the cost of the constructed network among the agents in a fair way we propose different charge rules. One class of charge rules is defined in such a way that the inefficiency of the network, caused by agents joining in different rounds, is equally divided among the agents who use the network. A second class of charge rules charges the incoming agents as much as possible such that previously connected agents can be reimbursed. However, we want to avoid that agents are better off by construction their own network. Furthermore, we prove that the charge rules satisfy several properties. This provides the basis for comparing the charge rules and allows for assessment of their fairness in a particular situation.
Banking performance before and during the Covid-19 pandemic: Perspectives from Indonesia

Abstract This study aims to provide empirical evidence regarding the impact of the COVID-19 pandemic on banking performance in Indonesia. This study examines differences in Indonesian banking performance before and during the COVID-19 pandemic. Banking performance in this study was measured using the CAMEL measure. The analysis was carried out by conducting a different test using the SPSS application version 22.0. Based on the results of tests conducted on 205 observations on banking from 2018 to 2021, it was found that the CAR, ROA, ROE, BOPO, LDR, and Customer Deposit levels from banks in Indonesia had a significant difference between before and during the COVID-19 pandemic. However, there was no significant difference between the NPL banking level in Indonesia before and during the COVID-19 pandemic. This proves that the COVID-19 pandemic has harmed banking in Indonesia, so the government must pay attention to the current banking strength to survive and recover after the COVID-19 pandemic.