Miracle-dz/UniFAR-FTUs huggingface dataset:
Inconstant Output Noise of SIS Mixers and Its Implication in Input Noise Measurement

In the assessment of a superconductor-insulator-superconductor (SIS) mixer, the breakdown of the overall receiver noise into intrinsic mixer noise and noises from other components is indispensable. The input noise due to losses in front of the mixer is conventionally measured by assessing the receiver noise as a linear function of mixer conversion loss at low local oscillator power and extrapolating the line to an infinite gain. However, it has been observed that this method tends to overestimate the input noise. To address this, the underlying theory of the input noise measurement method was revisited. It was found that the product of mixer gain and noise, i.e., the output noise of the mixer, is not a constant with respect to LO power. Therefore, extrapolating the linear relation to a large gain, where the input noise is inferred, becomes problematic. Numerical simulations were conducted to validate this analysis. Finally, a two-step measurement approach is introduced, in which an attenuator is inserted in front of the SIS mixer at the 4-K cold stage, to obtain the actual RF input noise.
Multistable states in the biosphere-climate system: towards conceptual models

Forecasting response of the biosphere and regional ecosystems to observed and expected climate change is the fundamental problem with obvious practical significance. Fundamental non-linearity of the climate system and biosphere makes feasible implementing multiple states and threshold processes in the biosphere-climate system (BCS) in response to gradually increasing influence factor (greenhouse gas concentrations growth). Really time series analysis of global temperature and other global and local parameters indicates the presence of abrupt transitions between stationary states. Identification of the switching mechanisms using general circulation models of the atmosphere and the ocean is associated with the obvious difficulties due to their complexity. Understanding the nature of such switches at qualitative level can be achieved by using a conceptual small-scale models. Some variants of possible mechanisms capable of generating these shifts and simultaneously supporting quasi-stationary periods between them are discussed.
Effects of presentation level on speech-on-speech masking by voice-gender difference and spatial separation between talkers

Many previous studies have reported that speech segregation performance in multi-talker environments can be enhanced by two major acoustic cues: (1) voice-characteristic differences between talkers; (2) spatial separation between talkers. Here, the improvement they can provide for speech segregation is referred to as “release from masking. ” The goal of this study was to investigate how masking release performance with two cues is affected by various target presentation levels. Sixteen normal-hearing listeners participated in the speech recognition in noise experiment. Speech-on-speech masking performance was measured as the threshold target-to-masker ratio needed to understand a target talker in the presence of either same- or different-gender masker talkers to manipulate the voice-gender difference cue. These target-masker gender combinations were tested with five spatial configurations (maskers co-located or 15°, 30°, 45°, and 60° symmetrically spatially separated from the target) to manipulate the spatial separation cue. In addition, those conditions were repeated at three target presentation levels (30, 40, and 50 dB sensation levels). Results revealed that the amount of masking release by either voice-gender difference or spatial separation cues was significantly affected by the target level, especially at the small target-masker spatial separation (±15°). Further, the results showed that the intersection points between two masking release types (equal perceptual weighting) could be varied by the target levels. These findings suggest that the perceptual weighting of masking release from two cues is non-linearly related to the target levels. The target presentation level could be one major factor associated with masking release performance in normal-hearing listeners.
E-Customer Behavior Mediates Promotion on E-Commerce Purchase Decision MSME Industry

This research aims to explore the impact of promotions on e-commerce purchasing decisions among MSMEs in Indonesia. In addition, e-customer behavior is studied as a mediator of promotional activities and purchasing decisions. Data was collected from a total of 160 E-commerce users in Indonesia through structured questionnaires and hypothesis testing using the PLS model. These results validate that promotional activities have a significant influence on e-customer behavior and direct purchasing decisions. Purchasing decisions are directly influenced by e-customer behavior. In addition, e-customer behavior completely mediates the relationship between promotional activities and buyer decisions which has an indirect influence. In this study, the sample size was limited to 160 respondents, most of whom came from Jabodetabek, Indonesia. It is recommended that future research use larger sample sizes and include individuals from various industry sectors. Second, this research only focuses on promotions, purchasing decisions through e-customer behavior in MSME e-commerce. This research suggestion will help the e-commerce retail sector to build consumer trust, thereby increasing the e-commerce user base and increasing customer loyalty through various improvements so that it can meet your needs to understand
Formation of Lithium-Manganates in a Complex Slag System Consisting of Li2O-MgO-Al2O3-SiO2-CaO-MnO—A First Survey

Due to the increasing demand for electromobility, the recovery of technologically relevant elements from spent Li-ion batteries is becoming increasingly important. Pyrometallurgical processing can deal with a broad range of input materials. Unfortunately, ignoble elements such as Li and Mn enter the slag. A novel approach to facilitate this processing is the Engineered Artificial Minerals (EnAM) strategy for the recovery of critical elements. The aim of this study is to investigate whether it is possible to stabilize Li in Li-manganates as the first crystallizate. For this purpose, synthetic oxide slags (Li, Mg, Al, Si, Ca, Mn) of varying compositions were made. The constituting compounds were identified using inductively coupled plasma optical emission spectrometry, powder X-ray diffraction, X-ray absorption near-edge structure analysis, and electron probe microanalysis. These results provide an understanding of the solidification process and the behavior of the elements of concern. Lithium-manganate(III) (LiMnO2) crystallized first, next to hausmannite (Mn2+Mn3+2O4) in a matrix consisting of wollastonite (CaSiO3) and larnite (Ca2SiO4). Within the structure of LiMnO2, Li and Mn can replace each other in certain proportions. By adding Al and Mg spinel, solid solutions between Mn2+Mn3+2O4, MnAl2O4, MgAl2O4 and LiMnO2 are expected and described by the stoichiometry formula: (Li(2x),Mg(1x),Mn(2+(1–x)))1+x(Al(2–z),Mn3+(z))2O4.
The Effect of Tillage and Crop Rotation on Soybean and Soil Health

Conservation tillage systems and rotations with corn (Zea mays (L.) increases surface residue and make popular choices for erosion control in soybean (Glycine max (L.) production. Tillage and system (rotation) affect levels of residue input which in turn affect the response of the soil and plants. Few studies have looked at the long term (23 years) effects of management practices on soil and soybean physiology. The objectives of this study were to (i) determine the effects of surface residue on soil temperature throughout the growing season, (ii) determine the effect of amount of residue on SOC, and (iii) determine the physiological response of soybean to residue, system and tillage treatments. Rotation and NT increased surface residue and soil organic carbon (SOC) for the top 0-5 cm of soil in both years of data collection. Continuous soybean and tillage increased maximum soil temperatures but did not affect minimum temperatures over the course of the study. The differences in plant height and canopy coverage were limited and not directly related to changes in soil temperatures. Long term decisions in tillage and system have a direct effect on soil response but the physiological response of soybean isn’t fully understood.
Ventromedial hypothalamus relays chronic stress inputs and exerts bidirectional regulation on anxiety state and related sympathetic activity

Chronic stress can induce negative emotion states, including anxiety and depression, leading to sympathetic overactivation and disturbed physiological homeostasis in peripheral tissues. While anxiety-related neural circuitry integrates chronic stress information and modulates sympathetic nervous system (SNS) activity, the critical nodes linking anxiety and sympathetic activity still need to be clarified. In our previous study, we demonstrated that the ventromedial hypothalamus (VMH) is involved in integrating chronic stress inputs and exerting influence on sympathetic activity. However, the underlying synaptic and electrophysiological mechanisms remain elusive. In this study, we combined in vitro electrophysiological recordings, behavioral tests, optogenetic manipulations, and SNS activity analyses to explore the role of VMH in linking anxiety emotion and peripheral SNS activity. Results showed that the VMH played an important role in bidirectionally regulating anxiety-like behavior and peripheral sympathetic excitation. Chronic stress enhanced excitatory inputs into VMH neurons by strengthening the connection with the paraventricular hypothalamus (PVN), hence promoting anxiety and sympathetic tone outflow, an important factor contributing to the development of metabolic imbalance in peripheral tissues and cardiovascular diseases.
Biomineralization through a Symmetry-Controlled Oligomeric Peptide

Biomineralization peptides are versatile tools for generating nanostructures since they can make specific interactions with various inorganic metals, which can lead to the formation of intricate nanostructures. Previously, we examined the influence that multivalency has on inorganic structures formed by p53 tetramer-based biomineralization peptides and noted a connection between the geometry of the peptide and its ability to regulate nanostructure formation. To investigate the role of multivalency in nanostructure formation by biomineralization peptides more thoroughly, silver biomineralization peptides were engineered by linking them to additional self-assembling molecules based on coiled-coil peptides and multistranded DNA oligomers. Under mild reducing conditions at room temperature, these engineered biomineralization peptides self-assembled and formed silver nanostructures. The trimeric forms of the biomineralization peptides were the most efficient in forming a hexagonal disk nanostructure, with both the coiled-coil peptide and DNA-based multimeric forms. Together, the results suggest that the spatial arrangement of biomineralization peptides plays a more important role in regulating nanostructure formation than their valency.
Millennium-Long Tree-Ring Chronology Reveals Megadroughts on the Southeastern Tibetan Plateau

ABSTRACT Millennium-aged trees are rare in natural forests. Here we present an 1184-year-long tree-ring width chronology from living juniper trees in the Biru area on the southeastern Tibetan Plateau. Growth-climate response analysis shows that the Biru chronology is significantly and positively correlated with late-spring (May-June) Standardized Precipitation Evaporation Index (SPEI) (r = 0.67, n = 53, p < 0.01). The tree-ring chronology explains 44.5% of the total variance of SPEI during the period AD 1957–2010. Reconstruction of May-June SPEI shows that there was a two-century-long megadrought during the late 13th to late 15th Centuries, and a seven-decade-long megadrought during AD 1630s to 1690s. Comparisons with other moisture records in the region suggest that the two-century megadrought identified in our reconstruction might be a widespread phenomenon most likely reflecting a stage of reduced Southwest Asian Summer Monsoon. Our results provide new evidence on the megadrought events on the Tibetan Plateau for the last millennium.
In silico Screening of Potential Antidiabetic Phenolic Compounds from Banana (Musa spp.) Peel Against PTP1B Protein

Type 2 diabetes mellitus (T2DM) is a global problem with increasing prevalence. The current treatments have made an immense progress with some side effects, such as drug resistance, acute kidney toxicity, and increased risk of heart attack. Banana (Musa spp.) peel comprises 40% of banana fruit contains high phenolic compounds whilst some studies have suggested a correlation between phenolic compounds and antidiabetic activity. One of the novel protein targets that has been identified as a potential anti-diabetic treatment is PTP1B (PDB ID:2NT7). Therefore, this study aimed to screen the potential PTP1B inhibitor for antidiabetic treatment from phenolic compounds in banana peel. QSAR, molecular docking, ADME-Tox, and molecular dynamics analysis were deployed to examine forty-three phenolic compounds in banana peel. Eighteen ligands were screened by QSAR analysis and eight of them had a lower binding energy than the standard (ertiprotafib) in molecular docking, with urolithin A and chrysin were the lowest. Both passed Lipinski’s rule of five, had a good intestinal absorption, and no blood-brain barrier penetration, however, their mutagenicity, carcinogenicity, and irritation to the skin and eyes were still in questions. Molecular dynamics analysis found both of them were in a stable conformation with PTP1B. This study suggested a potential of urolithin A and chrysin as PTP1B inhibitor for antidiabetic treatment. Additionally, further experimentation is required to validate this finding.
Transcriptomic Changes in Response to Form of Selenium on the Interferon-Tau Signaling Mechanism in the Caruncular Tissue of Beef Heifers at Maternal Recognition of Pregnancy

We have reported that selenium (Se) provided to grazing beef cattle in an inorganic (ISe) form versus a 1:1 mixture (MIX) of inorganic and organic (OSe) forms affects cholesterol biosynthesis in the corpus luteum (CL), the abundance of interferon tau (IFNτ) and progesterone (P4)-induced mRNAs in the caruncular (CAR) tissue of the endometrium, and conceptus length at maternal recognition of pregnancy (MRP). In this study, beef heifers were supplemented with a vitamin–mineral mix containing 35 ppm Se as ISe or MIX to achieve a Se-adequate status. Inseminated heifers were killed at MRP (d 17, n = 6 per treatment) for tissue collection. In CAR samples from MIX versus ISe heifers, qPCR revealed that mRNA encoding the thyroid regulating DIO2 and DIO3 was decreased (p < 0.05) and a complete transcriptomic analysis revealed effects on the interferon JAK-STAT1/2 pathway, including decreased expression of mRNAs encoding the classical interferon stimulated genes IFIT1, IFIT2, IFIT3, IRF1, IRF9, ISG15, OAS2, and RSAD2 (p < 0.05). Treatment also affected the abundance of mRNAs contributing to the immunotolerant environment (p < 0.05). In combination, these findings suggest more advanced preparation of the CAR and developing conceptus for implantation and to evade immune rejection by the maternal system in MIX- vs. ISe-treated heifers.
Flute like fluctuation suppression by the potential formation in GAMMA 10/PDX

In the hot ion mode experiments of the tandem mirror GAMMA 10/PDX plasma, suppression of the flute like fluctuation which rotation direction was ion diamagnetic rotation direction was observed during the axially confined potential formation with applying the electron cyclotron heating (ECH) at the barrier and plug cells for the first time. In the previous experiments, the electron diamagnetic rotation type fluctuations were clearly suppressed with application of both barrier (B) and plug (P) ECH. We show the flute like fluctuation of ion diamagnetic rotation is also suppressed with application of B/P-ECH.
Assessing the Character of Pancasila Student Profiles: Challenges Encountered by Teachers

Administering assessment is essential in education, including, in the implementation of character building in the Pancasila Student Profiles. This study was conducted to examine the implementation of the P5 (the Project for Strengthening Pancasila Student Profiles) in primary schools and the challenges teachers encountered in assessing the P5 character. Descriptive analysis was used in this study. Data collection was carried out using questionnaires and interviews given to 160 teachers representing 160 schools in 16 sub-districts in West Bandung, Indonesia. The results of the data analysis show that several elements are dominantly used from each dimension. Particularly noteworthy is that the creativity dimension is rarely taught. In terms of assessments, summative assessment is the most frequently practiced assessment among teachers. The number of teachers who carried out diagnostic and formative assessments is relatively small (<5%). Furthermore, the challenges or difficulties faced by the teachers in preparing the assessment encompass aspects such as the P5 comprehension, how to cultivate the P5 character, the main obstacles in instilling the P5 character, and measuring the P5 character.
Improved Weather Radar Echo Extrapolation Through Wind Speed Data Fusion Using a New Spatiotemporal Neural Network Model

: Weather radar echo extrapolation plays a crucial role in weather forecasting. However, traditional weather radar echo extrapolation methods are not very accurate and do not make full use of historical data. Deep learning algorithms based on Recurrent Neural Networks also have the problem of accumulating errors. Moreover, it is difficult to obtain higher accuracy by relying on a single historical radar echo observation. Therefore, in this study, we constructed the Fusion GRU module, which leverages a cascade structure to effectively combine radar echo data and mean wind data. We also designed the Top Connection so that the model can capture the global spatial relationship to construct constraints on the predictions. Based on the Jiangsu Province dataset, we compared some models. The results show that our proposed model, Cascade Fusion Spatiotemporal Network (CFSN), improved the critical success index (CSI) by 10.7% over the baseline at the threshold of 30 dBZ. Ablation experiments further validated the effectiveness of our model. Similarly, the CSI of the complete CFSN was 0.004 higher than the suboptimal solution without the cross-attention module at the threshold of 30 dBZ.
Three New Species of Gongronella (Cunninghamellaceae, Mucorales) from Soil in Hainan, China Based on Morphology and Molecular Phylogeny

The genus Gongronella is important in agriculture and industry by secreting various natural bioactive metabolites such as chitosanases and organic acids. During the most recent 8 years, a total of 14 new species have been described, remarkably enriching the diversity of this genus. In this study, we added three more new species to this valuable genus, based on a combination of morphological traits and phylogenetic information. Six strains of the genus Gongronella were isolated from soil collected in Hainan Province, China. Phylogenetic analyses of ITS and LSU rDNA sequences grouped these strains into three independent clades. According to their unique morphological characteristics, they were classified as G. multiramosa sp. nov., G. qichaensis sp. nov. and G. oleae sp. nov. The G. multiramosa was characterized by multiple branched sporangiophores and was closely related to G. pedratalhadensis. The G. qichaensis was characterized by obscure collars and closely related to G. butleri, G. hydei and G. banzhaoae. The G. oleae was characterized by the presence of oil droplets in the sporangiospores and was closely related to G. chlamydospora and G. multispora. Their descriptions and illustrations were provided, and their differences from morphological allies and phylogenetic-related species are discussed.
The role of aTp-dependent chromatin remodeling factors in chromatin assembly in vivo

Chromatin assembly is a fundamental process essential for chromosome duplication subsequent to DNA replication. In addition, histone removal and incorporation take place constantly throughout the cell cycle in the course of DNA-utilizing processes, such as transcription, damage repair or recombination. In vitro studies have revealed that nucleosome assembly relies on the combined action of core histone chaperones and ATP-utilizing molecular motor proteins such as ACF or CHD1. Despite extensive biochemical characterization of ATP-dependent chromatin assembly and remodeling factors, it has remained unclear to what extent nucleosome assembly is an ATP-dependent process in vivo. Our original and published data about the functions of ATP-dependent chromatin assembly and remodeling factors clearly demonstrated that these proteins are important for nucleosome assembly and histone exchange in vivo. During male pronucleus reorganization after fertilization CHD1 has a critical role in the genomescale, replication-independent nucleosome assembly involving the histone variant H3.3. Thus, the molecular motor proteins, such as CHD1, function not only in the remodeling of existing nucleosomes but also in de novo nucleosome assembly from DNA and histones in vivo. ATP-dependent chromatin assembly and remodeling factors have been implicated in the process of histone exchange during transcription and DNA repair, in the maintenance of centromeric chromatin and in the loading and remodeling of nucleosomes behind a replication fork. Thus, chromatin remodeling factors are involved in the processes of both replication-dependent and replication-independent chromatin assembly. The role of these proteins is especially prominent in the processes of large-scale chromatin reorganization; for example, during male pronucleus formation or in DNA repair. Together, ATP-dependent chromatin assembly factors, histone chaperones and chromatin modifying enzymes form a “chromatin integrity network” to ensure proper maintenance and propagation of chromatin landscape.
Predicting multi-component, high-temperature metallic glasses by coupling empirical models, CALPHAD, and a genetic algorithm

Metallic glasses (MGs) are an emerging class of materials possessing multiple desirable properties including high strength, hardness, and corrosion resistance when compared to their crystalline counterparts. However, most previously studied MGs are not useful in high temperature environments because they undergo the glass transition phenomenon and crystallize below the melting point. In addition, bulk MGs are typically found in multi-component systems, meaning that searching compositional space with a reasonable resolution using computational or experimental methods can be costly. In this study, an in-house developed genetic algorithm-based tool was used to locate alloy compositions with high glass forming ability (GFA) and high-temperature stability in the Ta–Ni–Co–(B) and Ta–Ni–Co–Nb alloy systems. GFA was predicted using an empirical predictive parameter known as P HSS. High-temperature stability was predicted using the CALPHAD method to calculate liquidus temperature. Justification for the use of P HSS to predict GFA of high-temperature MGs, as well as the use of liquidus temperature as a predictor of general high-temperature stability, is given in the form of a meta-analysis of previously reported MG compositions. The predictions made using this algorithm were analyzed and are presented herein. While high-temperature stability was the property of interest for this research, this framework could be used in the future to locate alloys with other application-specific material properties. This genetic algorithm-based tool enables the coupling of empirical parameters and CALPHAD to efficiently search multi-component space to locate glass-forming alloys with desirable properties.