Miracle-dz/UniFAR-FTUs huggingface dataset:
Systematic Errors Observed in CryoSat-2 Elevation Swaths on Mountain Glaciers and Their Implications

Our awareness of ice caps’ and mountain glaciers’ sensitivity to climate change has driven major advances in the application of remote sensing techniques during the past decade. Regarding ESA’s SARIn altimeter CryoSat-2, processing the full waveform to generate swaths of elevation estimates has become standard practice in regions of complex topographies. This technique provides information on areas where we would be blind otherwise. In this article, we discuss systematic errors and analyze their impact on surface elevation measurements and change rates of two test areas. In particular, we focus on periodically occurring errors in elevation swaths, caused by the superposition of coherent signals from range-ambiguous surfaces. They can lead to measurement errors in excess of 10 m, affect most measurements in mountainous regions, are difficult to exclude with established post-processing techniques, and occur repeatedly for satellite revisits introducing a 369-day periodicity—difficult to distinguish from the annual cycle. We show a correlation between derived elevation swaths and the sensor view angle and explore the influence of common data exclusion choices on higher level products. Our results indicate that these systematic errors hold a substantial share of the error budget and that the choice of thresholds impacts higher level products. We conclude that error correlations need to be considered to characterize the data accuracy. With the established data editing strategies, systematic errors prevent resolving seasonal mass changes of single mountain glacier basins and impact aggregates over larger areas or longer periods.
The Relationship Between Resilience and Subjective Well-Being Among Employees on the Work-From-Home Scheme in South Jakarta

This study aimed to explore the relationship between resilience and subjective well-being among employees who worked from home in South Jakarta. In light of the amount and sort of adaptations and adjustments brought about by the Covid-19 pandemic on various aspects of the life of employees, enduring such chronic state of stress presented a much-needed exploration into their psychological states and resources in order to map out the kind of support and ecosystem needed for employees to still be able to thrive in post-pandemic society 5.0. This study used correlational statistics that involved 200 participants ranging in age from 20-60 years who worked from home and full time in South Jakarta. Correlational results found a significant positive relationship between resilience and subjective well-being among employees who worked from home in South Jakarta, r= 0.701, p >. 05. It was found that the higher the resilience, the higher the subjective well-being among employees who worked from home in South Jakarta.
Best Estimates of Weighted Eigenvalues of One-dimensional p-Laplacian

In this paper, we determine the infimum and the supremum of the Dirich-let eigenvalues λn(p) (n = 1,2,…)of the problem t∈ ? [0,T], where 1 p ∞, and the weights p are nonnegative and are subject to conditions p(t)dt = M and max(e[0,T] p(t) = H. It is also explained for whatweights p the infimum and the supremum will be attained.
Measurement of Surface Profile Using Smoothed Serial Three Point Method.

It is known to measure precision profile with three or more displacement sensors. Serial three point method is very simple particularly but it has some disadvantages that it is difficult to modify the intervals of displacement sensors and the accidental errors accumulate.This paper presents a new measuring method using smoothed serial three point method.This method is improved on serial three point method using smoothing and weighted least square method. In the present paper the influence of smoothing is theoretically clarified in relation to the error with the real profile and the feasibility of this method is verified theoretically and experimentally.
Prevalence of Overweight and Obesity in Children Diagnosed with Phenylketonuria

Background: Growing evidence suggests a higher occurrence of overweight and obesity in children diagnosed with phenylketonuria (PKU), yet the exact cause is still unknown. Objectives: The objective is to address the prevalence of overweight and obesity in children with PKU. Methods: In our cross-sectional study, we included 47 children with PKU who were receiving care at the nutritional clinic of the National Nutrition Institute. We conducted anthropometric assessments, which involved measuring weight, height, and BMI. Additionally, we performed biochemical evaluations, including measurements of fasting total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, very low-density lipoprotein (VLDL) cholesterol, and triglycerides. Moreover, we assessed fasting blood sugar levels. Results: In the study group, 57.44% were males, and 42.55% were females, with no significant gender difference observed. Malnourished children exhibited significantly higher phenylalanine (PHE) levels. Most participants (n = 26, 55.3%) were overweight or obese. A positive and significant correlation (rs = 0.6, P = 0.01) was found between PHE levels and fasting blood sugar levels. Conclusions: Children with PKU have a high prevalence of overweight and obesity, emphasizing the importance of obesity screening in this population.
Décomposition d'un processus stationnaire du second ordre . Propriétés statistiques d'ordre 2 des coefficients d'ondelettes et localisation fréquentielle des paquets d'ondelettes

This paper deals with wide—sense stationnary processes analysis through wavelet and wavelet packets decomposition. This study is based on the theory of Stochastic Integral. In the case of band—limited processes (which are those encountered a t most from a praticai point of view), we show that the wavelet packets coefficien t ara asymptotically uncorrelated random variables, taking into account the wavele t packets regularity and the decomposition level . The relation between this convergence toward uncorrelated random variables and the subspaces frequency localization is analysed.
Characteristics of 355 nm Laser Damage in Bulk Materials

The laser damage resistances of four crystals (CaF2, MgF2, Al2O3, and SiO2) and fused silica (JGS1) irradiated at 355 nm (8 ns, 300-on-1) are reported. The laser-induced damage threshold is measured using a tripled Nd:YAG laser system. The results obtained from the pure crystals are in accordance with their specific optical, mechanical, and thermal properties. An empirical law based on the Franz—Keldysh effect can interpret the experimental results.
Synthesis, characterization, photoluminescent properties of carbon quantum dots and its applications in wastewater treatment

Carbon-based nanomaterials are currently gaining attention in wastewater treatment. They have gained a prime position in membrane filtration to degrade pollutants. One of the most recent additions to the field of carbon-based nanomaterials is quantum dots (QDs). Due to their exceptional qualities, QDs are among the most promising carbon-based nanomaterials at the forefront of the wastewater treatment research field. Nonetheless, most quantum dots were not sustainably fabricated. Therefore, this study aims to evaluate the carbon-based carbon quantum dots derived from biomass wastes (rubber seed shells) where the properties, behaviour and photoluminescence characteristics were evaluated through several characterization analyses. The QDs were characterized using Fourier-transform infrared spectroscopy (FTIR), x-ray diffraction (XRD), field emission scanning electron microscope (FESEM) equipped with energy-dispersive X-ray spectroscopy (EDX), photoluminescence spectroscopy, zeta potential analyser and Raman spectroscopy. The morphological analysis revealed multi-layered planes with highly porous and uneven surfaces, consisting of a large number of oxygen-functional groups (hydroxyl, carboxyl, carbonyl). The mapping results showed a large uniform distribution of carbon and oxygen elements on the surface of QDs with a more signified composition of wt% carbon (72.4%) compared to oxygen elements, with 23.6%. The spectroscopic and photoluminescence studies confirmed the fabrication of high-quality carbon quantum dots with blue-greenish fluorescence emissions. These results have shown promising biomass-based QDs that can be applied in wastewater treatment based on their unique characteristics. Thus, the derived biomass-based QDs can be viewed as a promising and cost-effective adsorbent for wastewater and water treatment.
The Research of Heat Exchanging Optimization for Parallel Flow Type Condenser of Auto Air-Condition

This paper has set up the mathematics model for the fins of parallel flow type condenser,by using the fluent software,carrying out the simulation calculation research to the influence factors which are air speed,height of fins,fin pitch and thickness of fins in the heat exchange of air cooling condenser.It has educed the data of the heat exchanging and flow field specialties that influence parallel flow type condenser of the heat transfer.It also has provided references for the design of parallel flow type condenser and its heat transfer optimization.
Ferroelectricity of hafnium oxide-based materials: Current status and future prospects from physical mechanisms to device applications

The finding of the robust ferroelectricity in HfO2-based thin films is fantastic from the view point of both the fundamentals and the applications. In this review article, the current research status of the future prospects for the ferroelectric HfO2-based thin films and devices are presented from fundamentals to applications. The related issues are discussed, which include: 1) The ferroelectric characteristics observed in HfO2-based films and devices associated with the factors of dopant, strain, interface, thickness, defect, fabrication condition, and more; 2) physical understanding on the observed ferroelectric behaviors by the density functional theory (DFT)-based theory calculations; 3) the characterizations of microscopic and macroscopic features by transmission electron microscopes-based and electrical properties-based techniques; 4) modeling and simulations, 5) the performance optimizations, and 6) the applications of some ferroelectric-based devices such as ferroelectric random access memory, ferroelectric-based field effect transistors, and the ferroelectric tunnel junction for the novel information processing systems.
Isotopic and elemental analysis by electrostatic energy analyzer laser ablated time-of-flight mass spectrometer

In this work, we present a modified setup of the time of flight (TOF) mass spectrometer. It consists of a laser ablation source, and a Q-switched Nd:YAG laser (532 nm, 100 mJ, 7 ns) integrated with a linear TOF mass spectrometer coupled with an electrostatic energy analyzer (EEA). Ions are detected by a channeltron electron multiplier assembled with EEA. The main objective of this work is to resolve the ion’s initial energy problem and improve the reproducibility of the results. Employing this newly developed setup the elemental analysis of a known sample was performed for different laser energies and found no shift in the position of the ions signals on the time scale. In addition to elemental analysis, isotopic compositions of lithium, titanium, copper, and silver samples have been also derived. Our results are in good agreement with their natural abundance. The design parameters of the instrument were optimized. The mass calibration was achieved by measuring the flight time of various ions; Li+, Ti+, Cu+, and Ag+.
Open shop scheduling problem to minimize total weighted completion time

ABSTRACT A given number of jobs in an open shop scheduling environment must each be processed for given amounts of time on each of a given set of machines in an arbitrary sequence. This study aims to achieve a schedule that minimizes total weighted completion time. Owing to the strong NP-hardness of the problem, the weighted shortest processing time block (WSPTB) heuristic is presented to obtain approximate solutions for large-scale problems. Performance analysis proves the asymptotic optimality of the WSPTB heuristic in the sense of probability limits. The largest weight block rule is provided to seek optimal schedules in polynomial time for a special case. A hybrid discrete differential evolution algorithm is designed to obtain high-quality solutions for moderate-scale problems. Simulation experiments demonstrate the effectiveness of the proposed algorithms.
Oral health in patients scheduled for hematopoietic stem cell transplantation in the Orastem study

Despite advances in transplant medicine, prevalence of complications after hematopoietic stem cell transplantation (HSCT) remains high. The impact of pre-HSCT oral health factors on the incidence and severity of complications post-HSCT is poorly understood. The aim of this prospective, observational study was to analyze oral health in patients planned for HSCT. Patients ≥18 years requiring HSCT were included from five sites between 2011–2018. General health, oral findings and patient-reported symptoms were registered in 272 patients. Oral symptoms around disease onset were reported by 43 patients (15.9%) and 153 patients (58.8%) reported oral complications during previous chemotherapy. One third of patients experienced oral symptoms at the oral examination before conditioning regimen and HSCT. In total, 124 (46.1%) patients had dental caries, 63 (29.0%) had ≥one tooth with deep periodontal pockets, 147 (75.0%) had ≥one tooth with bleeding on probing. Apical periodontitis was observed in almost 1/4 and partially impacted teeth in 17 (6.3%) patients. Oral mucosal lesions were observed in 84 patients (30.9%). A total of 45 (17.4%) of 259 patients had at least one acute issue to be managed prior to HSCT. In conclusion, oral symptoms and manifestations of oral disease were prevalent in patients planned for HSCT. The extent of oral and acute dental diseases calls for general oral screening of patients pre-HSCT.
Nuclear analytical techniques used to study the trace element content of Centaurium erythraea Rafn, a medicinal plant species from sites with different pollution loads in Lower Silesia (SW Poland)

Centaurium erythraea (Gentianaceae) is a medicinal plant species with therapeutic potential officially listed in the pharmacopoeias of many European, Asian and American countries. It has had many uses in natural medicine since ancient times and it is collected mostly from wild populations. The aim of this study is to investigate the trace element composition of C. erythraea using instrumental neutron activation analysis (INAA). The results of the performed investigations show that INAA has proved to be an efficient analytical technique for the determination of trace elements in medicinal plants. The studied plant contains elements important to the human diet and metabolism that are needed for growth, development and the prevention and curing of disease. A comparison with the reference levels of elements for plants shows that the concentrations of most elements in C. erythraea collected from all types of sites exceed those regarded as the reference. Compared to the values of the elements in C. erythraea from rural areas (LP), the concentrations of most of the investigated elements in C. erythraea collected from the lignite basin, urban areas and in the vicinity of the A4 highway (MP) were significantly higher. The results obtained can be used for control and monitoring in the production of pharmaceuticals based on natural medical plants.
Efficacy and safety of Dachaihu Decoction for acute pancreatitis: Protocol for a systematic review and meta-analysis

Background Dachaihu Decoction (DCD) is a traditional herbal formula widely used for treating acute pancreatitis (AP) in China. However, the efficacy and safety of DCD has never been validated, limiting its application. This study will assess the efficacy and safety of DCD for AP treatment. Methods Relevant randomized controlled trials of DCD in treating AP will be searched through Cochrane Library, PubMed, Embase, Web of Science, Scopus, CINAHL, China National Knowledge Infrastructure database, Wanfang Database, VIP Database, and Chinese Biological Medicine Literature Service System database. Only studies published between the inception of the databases and May 31, 2023 shall be considered. Searches will also be performed in the WHO International Clinical Trials Registry Platform, Chinese Clinical Trial Registry, and ClinicalTrials.gov. Preprint databases and grey literature sources such as OpenGrey, British Library Inside, ProQuest Dissertations & Theses Global, and BIOSIS preview will also be searched for relevant resources. The primary outcomes to be assessed will include mortality rate, rate of surgical intervention, proportion of patients with severe acute pancreatitis transferred to ICU, gastrointestinal symptoms, and the acute physiology and chronic health evaluation II score. Secondary outcomes will include systemic complications, local complications, the normalization period of C-reactive protein, length of stay in the hospital, TNF-α, IL-1, IL-6, IL-8, and IL-10 levels, and adverse events. Study selection, data extraction, and assessment of bias risk will be conducted independently by two reviewers using the Endnote X9 and Microsoft Office Excel 2016 software. The risk of bias of included studies will be assessed by the Cochrane "risk of bias” tool. Data analysis will be performed using the RevMan software (V.5.3). Subgroup and sensitivity analysis will be performed where necessary. Results This study will provide high-quality current evidence of DCD for treating AP. Conclusion This systematic review will provide evidence of whether DCD is an effective and safe therapy for treating AP. Trial registration PROSPERO registration number CRD42021245735. The protocol for this study was registered at PROSPERO, and is available in the S1 Appendix. https://www.crd. york.ac. uk/prospero/display_record. php? ID=CRD42021245735.
Genome-wide association mapping for component traits of drought tolerance in dry beans (Phaseolus vulgaris L.)

Understanding the genetic basis of traits of economic importance under drought stressed and well-watered conditions is important in enhancing genetic gains in dry beans (Phaseolus vulgaris L.). This research aims to: (i) identify markers associated with agronomic and physiological traits for drought tolerance and (ii) identify drought-related putative candidate genes within the mapped genomic regions. An andean and middle-american diversity panel (AMDP) comprising of 185 genotypes was screened in the field under drought stressed and well-watered conditions for two successive seasons. Agronomic and physiological traits, viz., days to 50% flowering (DFW), plant height (PH), days to physiological maturity (DPM), grain yield (GYD), 100-seed weight (SW), leaf temperature (LT), leaf chlorophyll content (LCC) and stomatal conductance (SC) were phenotyped. Principal component and association analysis were conducted using the filtered 9370 Diversity Arrays Technology sequencing (DArTseq) markers. The mean PH, GYD, SW, DPM, LCC and SC of the panel was reduced by 12.1, 29.6, 10.3, 12.6, 28.5 and 62.0%, respectively under drought stressed conditions. Population structure analysis revealed two sub-populations, which corresponded to the andean and middle-american gene pools. Markers explained 0.08–0.10, 0.22–0.23, 0.29–0.32, 0.43–0.44, 0.65–0.66 and 0.69–0.70 of the total phenotypic variability (R2) for SC, LT, PH, GYD, SW and DFW, respectively under drought stressed conditions. For well-watered conditions, R2 varied from 0.08 (LT) to 0.70 (DPM). Overall, 68 significant (p < 10−03) marker-trait associations (MTAs) and 22 putative candidate genes were identified across drought stressed and well-watered conditions. Most of the identified genes had known biological functions related to regulating the response to drought stress. The findings provide new insights into the genetic architecture of drought stress tolerance in common bean. The findings also provide potential candidate SNPs and putative genes that can be utilized in gene discovery and marker-assisted breeding for drought tolerance after validation.
Mechanics of dielectric elastomers: materials, structures, and devices

Dielectric elastomers (DEs) respond to applied electric voltage with a surprisingly large deformation, showing a promising capability to generate actuation in mimicking natural muscles. A theoretical foundation of the mechanics of DEs is of crucial importance in designing DE-based structures and devices. In this review, we survey some recent theoretical and numerical efforts in exploring several aspects of electroactive materials, with emphases on the governing equations of electromechanical coupling, constitutive laws, viscoelastic behaviors, electromechanical instability as well as actuation applications. An overview of analytical models is provided based on the representative approach of non-equilibrium thermodynamics, with computational analyses being required in more generalized situations such as irregular shape, complex configuration, and time-dependent deformation. Theoretical efforts have been devoted to enhancing the working limits of DE actuators by avoiding electromechanical instability as well as electric breakdown, and pre-strains are shown to effectively avoid the two failure modes. These studies lay a solid foundation to facilitate the use of DE materials, structures, and devices in a wide range of applications such as biomedical devices, adaptive systems, robotics, energy harvesting, etc.中文概要目 的介电高弹体是典型电敏性材料,在外加电场的作 用下会产生大的变形,这一特点使其成为人工肌 肉致动的理想材料,近年来引起研究者的广泛关 注。 本文着重介绍介电高弹体的基本力学理论和 方法,旨在为相关材料、结构和器件的设计提供 参考,也有助于不同专业背景的研究者了解并开 展介电高弹体的相关研究。 概 要本文介绍了近年来关于介电高弹体力电耦合问题 的一些理论和数值研究,重点包括力电耦合的控 制方程、材料本构关系、粘弹性响应、力电失稳 以及致动器设计等方面。 文中讨论了基于非平衡 热动力学的介电高弹体力学模型处理复杂构型 或与时间相关变形时常被采用的数值方法,优化 介电高弹体致动极限的力学设计,以及介电高弹 体力电响应在典型致动器中的应用。
Testing the effects of group-affirmation in active conflict: Ukrainians’ trust toward Russia

How can states with a history of recent armed conflict trust one another? Political psychology offers two competing approaches to increase trust between the publics of different countries: appealing to an overarching, common identity above the national level vs. affirming a sense of national identity. This study aims to examine the scope conditions of group-affirmation effects on trust in active conflicts by testing which group-affirmation approach increases trust towards Russia among the Ukrainian public. Distrust between Ukraine and Russia aggravates security fears and limits hope for a meaningful resolution of the bloodiest armed conflict in Europe since 1994. Hostility levels have risen dramatically between the populations of Ukraine and Russia after the events of 2013–2015. The study employs a survey experiment (between-subjects design) to evaluate these competing approaches. The survey was fielded in late May-June 2020 by a reputable public opinion research firm, the Kyiv International Institute of Sociology (KIIS), based in Ukraine. The results suggest that in areas where conflict is salient, national identity affirmation can increase trust in subsamples that hold preexisting baseline levels of affinity toward the outgroup. When combined with the more anti-Russian Ukrainians however, this positive effect was cancelled out. In contrast, emphasis on an overarching, common ingroup identity did not raise trust in any subgroups. Examining the disparate effects of national identity affirmation in anti-Russian and pro-Russian regional subsamples helps specify the scope conditions of which group-affirmation can be most effective.