Miracle-dz/UniFAR-FTUs huggingface dataset:
Likely P‐to‐S Conversion at the Core‐Mantle Boundary Extracted From Array Processing of Noise Records

Seismic noise has been widely used to image Earth's structure in the past decades as a powerful supplement to earthquake signals. Although the seismic noise field contains both surface‐wave and body‐wave components, most previous studies have focused on surface waves due to their large amplitudes. Here, we use array analyses to identify body‐wave noise traveling as PKP waves. We find that by cross‐correlating the array‐stacked horizontal‐ and vertical‐component data in the time windows containing the PKP noise signals, we extract a phase likely representing PKS‐PKP, the differential phase between PKS and PKP. This phase can potentially be used for shear‐wave‐splitting analysis. Our results also suggest that the sources of body‐wave noise are extremely heterogeneous in both space and time, which should be accounted for in future studies using body‐wave noise to image Earth structure.
Magnetic Resonance Imaging Confirmed Olfactory Bulb Reduction in Long COVID-19: Literature Review and Case Series

An altered sense of smell and taste was recognized as one of the most characteristic symptoms of coronavirus infection disease (COVID-19). Despite most patients experiencing a complete functional resolution, there is a 21.3% prevalence of persistent alteration at 12 months after infection. To date, magnetic resonance imaging (MRI) findings in these patients have been variable and not clearly defined. We aimed to clarify radiological alterations of olfactory pathways in patients with long COVID-19 characterized by olfactory dysfunction. A comprehensive review of the English literature was performed by analyzing relevant papers about this topic. A case series was presented: all patients underwent complete otorhinolaryngology evaluation including the Sniffin’ Sticks battery test. A previous diagnosis of SARS-CoV-2 infection was confirmed by positive swabs. The MRIs were acquired using a 3.0T MR scanner with a standardized protocol for olfactory tract analysis. Images were first analysed by a dedicated neuroradiologist and subsequently reviewed and compared with the previous available MRIs. The review of the literature retrieved 25 studies; most cases of olfactory dysfunction more than 3 months after SARS-CoV-2 infection showed olfactory bulb (OB) reduction. Patients in the personal case series had asymmetry and a reduction in the volume of the OB. This evidence was strengthened by the comparison with a previous MRI, where the OBs were normal. The results preliminarily confirmed OB reduction in cases of long COVID-19 with an altered sense of smell. Further studies are needed to clarify the epidemiology, pathophysiology and prognosis.
Haze Grading Using the Convolutional Neural Networks

As an air pollution phenomenon, haze has become one of the focuses of social discussion. Research into the causes and concentration prediction of haze is significant, forming the basis of haze prevention. The inversion of Aerosol Optical Depth (AOD) based on remote sensing satellite imagery can provide a reference for the concentration of major pollutants in a haze, such as PM2.5 concentration and PM10 concentration. This paper used satellite imagery to study haze problems and chose PM2.5, one of the primary haze pollutants, as the research object. First, we used conventional methods to perform the inversion of AOD on remote sensing images, verifying the correlation between AOD and PM2.5. Subsequently, to simplify the parameter complexity of the traditional inversion method, we proposed using the convolutional neural network instead of the traditional inversion method and constructing a haze level prediction model. Compared with traditional aerosol depth inversion, we found that convolutional neural networks can provide a higher correlation between PM2.5 concentration and satellite imagery through a more simplified satellite image processing process. Thus, it offers the possibility of researching and managing haze problems based on neural networks.
Qualitative insights in item development for a comprehensive and inclusive measure of recovery capital

Abstract Background Item specification is foundational to measurement development but rarely reported in depth. We address this gap by explicating our use of qualitative methods to ground and develop items for a new recovery capital measure, the Multidimensional Inventory of Recovery Capital. Method We recruited a diverse sample of service providers (n = 9) and people in recovery from alcohol problems (n = 23) to provide feedback on an item pool assessing social, human, physical, community, and cultural capital. Using applied qualitative analysis, we coded findings from interviews and focus groups and made final decisions by consensus regarding item elimination, retention, or revision. This process yielded a 49-item draft measure. Results Only nine items from an initial 90-item list were retained in their original form. Participant feedback guided item elimination, addition, and revision for linguistic or conceptual clarity. We detected little systematic variation in feedback based on income or race; however, there were stark divergences on particular items based on recovery pathway (i.e. 12-step versus other approaches). Conclusions The high degree of alteration to the item pool highlights the importance of establishing validity with respondents. Response variation based on recovery pathway suggests the need for broad heterogeneity in respondents. Measures that are sensitive, psychometrically sound, and aligned with theory are critical for advancing research on recovery capital and related disparities for diverse populations.
Fines versus Prison for the Issuance of Bad Checks: Evidence from a Policy Shift in Turkey

We investigate whether the February 2012 amendments to the Check Law in Turkey that replaced imprisonment with monetary and administrative fines for writing bad checks were a driver of the surge in the frequency of bad checks since late 2011. As the planned amendments were announced well in advance, check issuance behavior was potentially altered before the amendments officially took effect. To capture this, we use the cumulative volume of related keyword searches on the internet as a proxy for the legal change. We find that unlike the case during the global financial crisis, the surge in bad checks around 2012 cannot be explained by the changes in the economic environment unless the February 2012 legal change is also controlled for. We also show that the surge in the incidence of bad checks was not accompanied by an increase in their average value. Finally, we provide evidence that economic agents adapt fairly rapidly to the legal change by adjusting their screening and monitoring capacities, which helps to reverse the surge in bad checks within a year. Overall, our findings suggest that sanctions need not be harsh to deter wrongful behavior as long as appropriate infrastructures that will enable efficient behavioral adjustments are in place.
The Imbalance of Mitochondrial Homeostasis of Peripheral Blood-Derived Macrophages Mediated by MAFLD May Impair the Walking Ability of Elderly Patients with Osteopenia

Introduction Many Asian cohort studies have shown that nonalcoholic fatty liver disease (NAFLD), now renamed as metabolic dysfunction-associated fatty liver disease (MAFLD), increases the risk of osteoporosis, yet the effect of MAFLD on elderly patients with osteopenia (OPe) has not been reported. Objective This study aimed to explore the influence of MAFLD on the function of macrophages in patients with OPe. Methods A total of 107 elderly OPe patients with or without MAFLD who visited the Huadong Hospital Affiliated to Fudan University (Shanghai, China) between January 1st, 2021, and September 30th, 2021, were evaluated for an interviewer-assisted questionnaire, as well as clinical and biological assessments. Results Comparing two groups of elderly patients with the same bone mass level, we found that the six-minute walking distance (P = 0.012) and short physical performance battery (SPPB) score (P = 0.0029) of the elderly OPe patients with MAFLD are worse than those in OPe patients without MAFLD. Our results confirmed that the mitochondrial reactive oxygen species (mtROS) in peripheral blood of OPe patients with MAFLD was significantly higher than those without. We also observed the mitochondrial metabolism level of peripheral blood-derived macrophages in the included patients and peripheral blood macrophages in patients with MAFLD with more unbalanced mitochondrial dynamics of macrophages, more weakened mitochondrial respiratory capacity, and greater mitochondrial microstructure damage, when compared with the elderly patients without MAFLD. Conclusions To conclude, our data revealed that MAFLD itself may aggravate the inflammatory state in elderly OPe people due to mitochondrial homeostasis imbalance of peripheral blood macrophages. Damaged monocyte-macrophages might trigger attenuation of the walking ability of OPe patients.
Hematological indices and their correlation with glucose control parameters in a prediabetic rat model

Background and Aim: Chronic hyperglycemia in prediabetic individuals would progress to diabetes and lead to several systemic disruptions, including hematological parameters. This study aimed to investigate the correlation between prediabetes and hematological indices in a prediabetic rat model. Materials and Methods: Eighteen male rats were randomly divided into two groups of nine. Prediabetes was induced in nine rats by a 3-week high-fat and high-glucose diet, followed by low-dose streptozotocin (STZ) injection (30 mg/kg body weight). The oral glucose tolerance test was performed, and the fasting blood glucose (FBG) and insulin levels were measured 72 h after STZ administration. The control group of nine rats was given standard diets. At the end of the 3rd week, the animals fasted overnight before blood collection. Blood samples were drawn and used for the analysis of the FBG and fasting insulin levels and glycated albumin to define prediabetes criteria before hematology analysis. Results: We found a significant increase in the FBG and insulin levels in the prediabetic versus the control group. There were decreases in red blood cells, hemoglobin, and hematocrit levels and red cell distribution in prediabetic rats versus the control. At the same time, a significant increase in the platelet count was observed in the prediabetic group. There was a positive correlation between FBG and lymphocytes and neutrophil-lymphocyte ratio in prediabetic rats. On the other hand, we found a negative correlation between white blood cell count and glycated albumin. Conclusion: Correlations were found in several hematological parameters in the prediabetic rat models. The changes in hematological indices in prediabetic rats may be further used as a valuable indicator of glycemic control.
Detailed Characterization of a Fully Additive Covalent Bonded PCB Manufacturing Process (SBU-CBM Method)

To bridge the technology gap between IC-level and board-level fabrications, a fully additive selective metallization has already been demonstrated in the literature. In this article, the surface characterization of each step involved in the fabrication process is outlined with bulk metallization of the surface. This production technique has used polyurethane as epoxy resin and proprietary grafting chemistry to functionalize the surface with covalent bonds on an FR-4 base substrate. The surface was then metalized using an electroless copper (Cu) bath. This sequential growth of layers on top of each other using an actinic laser beam and palladium (Pd) ions to deposit Cu is analyzed. State-of-the-art material characterization techniques were employed to investigate process mechanism at the interfaces. Density functional theory calculations were performed to validate the experimental evidence of covalent bonding of the layers. This manufacturing approach is capable of adding metallic layers in a selective manner to the printed circuit boards at considerably lower temperatures. A complete analysis of the process using bulk deposition of the materials is illustrated in this work.
Bottom-up Quantification Of The Flexibility Potential Of Buildings

The smart grid paradigm implies flexible demand and/or energy storage in order to cope with the stochastic behaviour of renewable energy sources. The building stock is often put forward as a potential supplier of flexibility services through demand side management (DSM) and distributed energy storage, partly as thermal energy. This paper presents a bottom-up approach for the quantification of this flexibility service in the form of cost functions. The cost functions are computed from the solution of optimal control problems with low-order models. The method is generic and can be applied to heating, ventilation and airconditioning (HVAC) services, thermal energy storage (TES) and local electricity production. Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28
Distribution patterns of rDNA loci in the Schedonorus-Lolium complex (Poaceae)

﻿Abstract The Schedonorus-Lolium complex of the subtribe Loliinae (Poaceae) includes several economically important forage and turf grasses. This complex encompasses Lolium Linnaeus, 1753, Festuca Linnaeus, 1753 subgenus Schedonorus (P. Beauvois, 1824) Petermann, 1849 and Micropyropsis Romero Zarco et Cabezudo, 1983. New FISH results of 5S and 18S–26S rDNA sequences are presented for three species and the results are interpreted in a review of distribution patterns of 5S and 18S–26S rDNA sequences among other species in the complex. Micropyropsistuberosa Romero Zarco et Cabezudo, 1983 (2n = 2x = 14) displayed a distribution pattern of rDNA sequences identical to that of F.pratensis Hudson, 1762, supporting a close phylogenetic relationship at the bottom of the phylogenetic tree. “Loliummultiflorum” Lamarck, 1779 accessions sourced from Morocco showed a different pattern from European L.multiflorum and could be a unique and previously uncharacterised taxon. North African Festucasimensis Hochstetter ex A. Richard, 1851 had a marker pattern consistent with allotetraploidy and uniparental loss of one 18S–26S rDNA locus. This allotetraploid has previously been suggested to have originated from a hybrid with Festucaglaucescens (Festucaarundinaceavar.glaucescens Boissier, 1844). However, the distribution patterns of the two rDNA sequences in this allotetraploid do not align with F.glaucescens, suggesting that its origin from this species is unlikely. Furthermore, comparisons with other higher alloploids in the complex indicate that F.simensis was a potential donor of two sub-genomes of allohexaploid Festucagigantea (Linnaeus) Villars, 1787. In the overall complex, the proximal locations of both rDNA markers were conserved among the diploid species. Two types of synteny of the two markers could, to a considerable extent, distinguish allo- and autogamous Lolium species. The ancestral parentage of the three Festuca allotetraploids has not yet been determined, but all three appear to have been sub-genome donors to the higher allopolypoids of sub-genus Schedonorus. Terminal locations of both the markers were absent from the diploids but were very frequently observed in the polyploids.
Metabolic Pathways Involved in the Drought Stress Response of Nitraria tangutorum as Revealed by Transcriptome Analysis

Drought resistance in plants is controlled by multiple genes. To identify the genes that mediate drought stress responses and to assess the associated metabolic pathways in the desert shrub Nitraria tangutorum, we conducted a transcriptome analysis of plants under control (maximum field capacity) and drought (20% of the maximum field capacity) conditions. We analyzed differentially expressed genes (DEGs) of N. tangutorum and their enrichment in the KEGG metabolic pathways database, and explored the molecular biological mechanisms underlying the answer to its drought tolerance. Between the control and drought groups, 119 classified metabolic pathways annotated 3047 DEGs in the KEGG database. For drought tolerance, nitrate reductase (NR) gene expression was downregulated, indicating that NR activity was decreased to improve drought tolerance. In ammonium assimilation, drought stress inhibited glutamine formation. Protochlorophyllide reductase (1.3.1.33) expression was upregulated to promote chlorophyll a synthesis, whereas divinyl reductase (1.3.1.75) expression was downregulated to inhibit chlorophyll-ester a synthesis. The expression of the chlorophyll synthase (2.5.1.62) gene was downregulated, which affected the synthesis of chlorophyll a and b. Overall, drought stress appeared to improve the ability to convert chlorophyll b into chlorophyll a. Our data serve as a theoretical foundation for further elucidating the growth regulatory mechanism of desert xerophytes, thereby facilitating the development and cultivation of new, drought-resistant genotypes for the purpose of improving desert ecosystems.
Growth analysis of short duration transplanted Aus rice (cv. Parija) under three agronomic practices

An experiment was conducted at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh to investigate the growth of short duration transplanted Aus rice (cv. Parija) under three agronomic practices. The study comprised of two nursery seeding densities viz. 40 and 80 g seeds m-2, three ages of seedlings viz. 20, 30 and 40-day old, and three levels of seedlings hill-1 viz. 2, 4 and 6 seedlings hill-1. The experiment was laid out in a Randomized Complete Block Design with three replications. For individual treatment effects, the highest plant height, number of tillers hill-1, total dry matter, leaf area index and crop growth rate were found when seedlings were raised @ 40g seed m-2 and 30-day old seedlings were transplanted @4 seedlings hill-1. In interaction, the highest number of tillers hill-1 (13.00) and total dry matter (22.93 g) at 45 DAT, and crop growth rate (6.71 g m-2 day-1) at 15-30 DAT were obtained from the interaction among 40 g seed m-2 × 30-day old seedlings × 4 seedlings hill-1. On the other hand, the tallest plant (73.27 cm) at 45 DAT was found from the interaction among 80 g seed m-2 × 30-day old seedlings × 4 seedlings hill-1, while the highest leaf area index (2.87) was recorded from the interaction of 40 g seed m-2 × 30-day old seedlings × 2 seedlings hill-1 at 50 DAT. Considering both the significant individual and interaction treatment effects on the growth parameters, the use of 40 g seed m-2 × 30-day old seedlings × 4 seedlings hill-1 could improve the growth performance of short duration transplanted Aus rice (cv. Parija). Therefore, a nursery seeding density of 40 g seed m-2 and 30-day old seedlings transplanting with 4 seedlings hill-1 appears as the promising combination in respect of growth performance of short duration transplanted Aus rice (cv. Parija).
Indoor Airflow Simulation inside Lecture Room: A CFD Approach

Indoor air flow distribution is important as it will affect the productivity of the occupants. Poor air flow distribution not only cause discomfort to the occupants but also influence their ability to conduct their activities. The main purpose of this study is to investigate the indoor air flow inside lecture rooms through CFD simulation approach. Two types of air-conditioning configuration system in lecture rooms have been selected for this study which includes the split unit and centralized system. The air flow distribution between these two systems are analyzed and compared. Physical measurement is conducted using a velocity meter for validation purpose. CFD simulation is developed by using ANSYS Fluent software. The results specifically the air velocity and temperature data are compared and validated. Based on the findings, design recommendation is proposed with the aim to improve on the current air flow distribution in the lecture rooms.
L-Type Cav1.3 Calcium Channels Are Required for Beta-Adrenergic Triggered Automaticity in Dormant Mouse Sinoatrial Pacemaker Cells

Background: Sinoatrial node cells (SANC) automaticity is generated by functional association between the activity of plasmalemmal ion channels and local diastolic intracellular Ca2+ release (LCR) from ryanodine receptors. Strikingly, most isolated SANC exhibit a “dormant” state, whereas only a fraction shows regular firing as observed in intact SAN. Recent studies showed that β-adrenergic stimulation can initiate spontaneous firing in dormant SANC, though this mechanism is not entirely understood. Methods: To investigate the role of L-type Cav1.3 Ca2+ channels in the adrenergic regulation of automaticity in dormant SANC, we used a knock-in mouse strain in which the sensitivity of L-type Cav1.2 α1 subunits to dihydropyridines (DHPs) was inactivated (Cav1.2DHP−/−), enabling the selective pharmacological inhibition of Cav1.3 by DHPs. Results: In dormant SANC, β-adrenergic stimulation with isoproterenol (ISO) induced spontaneous action potentials (AP) and Ca2+ transients, which were completely arrested with concomitant perfusion of the DHP nifedipine. In spontaneously firing SANC at baseline, Cav1.3 inhibition completely reversed the effect of β-adrenergic stimulation on AP and the frequency of Ca2+ transients. Confocal calcium imaging of SANC showed that the β-adrenergic-induced synchronization of LCRs is regulated by the activity of Cav1.3 channels. Conclusions: Our study shows a novel role of Cav1.3 channels in initiating and maintaining automaticity in dormant SANC upon β-adrenergic stimulation.
Leaps in innovation and the Bannister effect in contests

This paper explores how innovation breakthroughs can stimulate future progress in individual innovation. It does this by introducing a new contest mechanism—one that shows signals of performance can yield information about the solution space. Simply put, observing another's high performance is a clue that can lead solvers to devise ways of achieving their own breakthroughs. Using a unique dataset of predictive modeling contests from Kaggle, we use 25,898 distinct attempts at innovation to highlight this new learning effect in contests and show how discontinuous leaps in innovation (as opposed to incremental steps) result in different outcomes. We achieve this by exploiting differences in the problem complexity. First, we find that leaps increase rates of entry and improve overall contest performance in complex problems. This effect applies not only to the best‐performing solvers but also to trailing solvers. Second, we provide evidence that suggests solvers actually change their approach and tackle innovation problems differently after a leap. This adds a new understanding about innovation contests and their incentives and has implications for contest design.