Miracle-dz/UniFAR-FTUs huggingface dataset:
Holding cash for the better decision? A comparison study of the liquidity management between China and US mutual funds

This paper comparatively studies the different implications of the fund cash holding for fund strategies, flows and performance between China and the US. I use the R-square decomposition technique to examine the determinants of cash holdings. I find that funds in China show more concerns on the non-risk factor than the risk factor in determining the cash level, while US funds show more concerns on risk factors. Funds in the US tend to title their portfolio to lower risk loading and reduce the systematic risk than the funds in China. The abnormal cash holdings can attract money flows in both these two markets. It positively predicts performance in the US and the predictive power is enhanced by the smart money effect. The paper suggests that abnormal cash holding is an essential perspective to be considered in investors’ fund decisions.
Research Note: Near‐surface layer replacement for sparse data: is interpolation needed?

Near‐surface problem is a common challenge faced by land seismic data processing, where often, due to near‐surface anomalies, events of interest are obscured. One method to handle this challenge is near‐surface layer replacement, which is a wavefield reconstruction process based on downward wavefield extrapolation with the near‐surface velocity model and upward wavefield extrapolation with a replacement velocity model. This requires, in theory, that the original wavefield should be densely sampled. In reality, data acquisition is always sparse due to economic reasons, and as a result in the near‐surface layer replacement data interpolation should be resorted to. For datasets with near‐surface challenges, because of the complex event behaviour, a suitable interpolation scheme by itself is a challenging problem, and this, in turn, makes it difficult to carry out the near‐surface layer replacement. In this research note, we first point out that the final objective of the near‐surface layer replacement is not to obtain a newly reconstructed wavefield but to obtain a better final image. Next, based upon this finding, we propose a new thinking, interpolation‐free near‐surface layer replacement, which can handle complex datasets without any interpolation. Data volume expansion is the key idea, and with its help, the interpolation‐free near‐surface layer replacement is capable of preserving the valuable information of areas of interest in the original dataset. Two datasets, i.e., a two‐dimensional synthetic dataset and a three‐dimensional field dataset, are used to demonstrate this idea. One conclusion that can be drawn is that an attempt to interpolate data before layer replacement may deteriorate the final image after layer replacement, whereas interpolation‐free near‐surface layer replacement preserves all image details in the subsurface.
Investigation of Glyphosate and Propanil herbicide residues In Shamyia River

Herbicide commonly known as a weed killer used to kill unwanted plants, selective herbicides kill specific targets while leaving the desired crop relatively unharmed (Yamamoto & Nakamura, 2003). Over 98% of sprayed insecticides and 95% of herbicides reach a destination other than their target species, including non target species, air, water, bottom sediments and food (Miller, 2004). The glyphosate and propanil were mostly herbicide use in rice crops in AL-Shamyia city , the river passes through a branch of the Euphrates River called the AL-Shamyia River.
Puri ﬁ cation of the apple pomace polyphenol extract using adsorbent resin

Polyphenols from agro-industrial waste particularly of fruit origin are a reliable source of antioxidants and antimicrobials that can be used as natural food additives. Organic solvents play an important role in extracting the polyphenols, however, inefficiency in exerting bioactivity and interference with the organ-oleptic properties are among the reasons that hinder their use as food additives. These problems can be alleviated by purification. In this study, the effect of resin types and elution solvent for purification of the apple pomace extracts on total phenolic content (TPC) and antioxidants were investigated. Crude ethanolic extracts were purified using amberlite resins (XAD7HP and FPX66) in a glass column (25 3 310 mm). The sorption ﬂ ow rate was 2 Bed volume (BV) per hour, rinse 2 BV per hour, and desorption was 2 BV per hour. Final wash and regeneration were each done by 2 BV per hour. Polyphenol content and antioxidant capacity were quanti ﬁ ed spectrophotometrically using Folin-Ciocalteu and Ferric reducing ability of plasma (FRAP) assays respectively. Polyphenol recovery was 50% in XAD7HP (Lowest) using ethanol and 69% in FPX66 (Highest) using acetone. For the case of FRAP recovery, 76% (Lowest) was observed in FPX66 using ethanol while 93% (Highest) was observed in XAD7HP using acetone. Conclusively, FPX66 is the ideal resin for the puri ﬁ cation of apple pomace extracts for enhancing antioxidant activity compared to XAD7HP. Further, acetone seems to be a good desorption solvent compared to ethanol
SINGLE-CELL TRANSCRIPTIONAL PROFILING OF HUNTINGTON’S DISEASE IN HUMAN AND MOUSE MODELS

Uncovering the mechanisms that drive cell type-speciﬁc vulnerability diﬀerences in Huntington’s disease (HD) is an imperative prerequisite to ﬁnding a reliable therapeutic target. The most aﬀected regions and cell types likely possess vulnerability factors or lack protective factors possessed by other cell types that lead to their early dysfunction and enhanced loss, but such factors remain elusive. In order to characterize the cell type-speciﬁc responses induced by mutant huntingtin (mHTT), we applied single-nucleus RNA sequencing to pro-ﬁle gene expression changes in human HD and two commonly used mouse models of HD. In the process, we produced the ﬁrst molecular atlas of the human neostriatum, identiﬁed new and previously unobserved cell types, and examined the molecular conservation of this brain region across species. We also developed and documented new computational methods and techniques for curating and analyzing single-cell data from post-mortem human brain samples.
Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images

Weed mapping is a technique used to identify and locate harmful weed plants in farm fields. Accurate weed mapping enables targeted herbicide application and helps plant scientists to estimate the effectiveness of field experiments. In this paper we discuss a highly practical and effective working pipeline to weed map a wheat field combining GIS and deep learning technology. This pipeline is an end-to-end process including using an unoccupied aerial vehicle (UAV) to collect ultra-high definition whole-field images, labelling and training deep learning models and an efficient evaluation process for the resulting weed map. We show that our method can generate accurate pixel-wise weed maps by only training on small regions of the field, and can generalize well when making predictions back on the larger whole-field orthomosaic image.
Investigating the Correlation between Fluctuations in the U.S. Stock Industry Index and U.S. Import-Export Volume Fluctuations using the Dynamic Time Warping (DTW) Method

Affected by the COVID-19 epidemic and the global economic turmoil, the total amount of US imports and exports and the various indexes of US stocks have fluctuated greatly in recent years. As one of the largest economies in the world, the fluctuation of the economic situation of the United States shows the global economic situation to a certain extent, and the total amount of import and export is one of the important indicators. From the theoretical research, there is an indirect economic relationship between the total import and export volume and the industry index, and the fluctuation correlation between the two is supported by economic theory. From the empirical research, this paper uses Log Re-turn and Dynamic Time Warping (DTW) model to analyze and visualize the total volume of US imports and exports and ten typical industry indexes of US stocks. It is found that there is a uniform correlation between the trend of various indexes and the trend of total import and export volume, and there is a correlation law between them. However, there is no industry that is extremely close to the development trend of total imports and exports.
Intraspecific Variability in Trionymus aberrans Goux, 1938 (Hemiptera: Coccomorpha: Pseudococcidae) with Description of the Second-Instar Nymph

Simple Summary Trionymus aberrans Goux, 1938 (Hemiptera: Coccomorpha: Pseudococcidae) lives inside the leaf sheaths of grasses. Adult females collected in post-industrial wastelands differ morphologically from those found in undegraded habitats. We observed unusual structures in specimens from contaminated areas. These structures, never observed before in members of the Pseudococcidae, were studied using scanning electron microscopy. A detailed description of the second-instar nymph is provided, which will facilitate the identification of this stage. Abstract The morphological characteristics of adult females of Trionymus aberrans Goux, 1938 (Hemiptera: Coccomorpha: Pseudococcidae) collected from post-industrial wastelands and other habitats in Poland and other countries were studied. Distinctive morphological variations were observed in the specimens from post-industrial wastelands in Poland. Scanning electron micrographs of the morphological characters of T. aberrans are provided. The presence of unusual pores, each with four loculi, was demonstrated for the first time in a species of Pseudococcidae. The importance of introducing additional morphological characters into the species description is discussed. New data on the frequency and host preferences of T. aberrans are also provided. This research is the first long-term study on scale insect species in post-industrial wastelands. The second-instar nymph of T. aberrans is described and illustrated and the presence of translucent pores on the hind coxae of this developmental stage is reported for the first time.
The Fierce Competition of Shopee Battlefield Among Generation Z Consumers: A Neuromarketing Perspective

The shift in consumer buying patterns towards online purchases has led to a significant increase in the number of sellers using e-commerce platforms to promote their products. Shopee is one of the most popular e-commerce platforms in Indonesia. However, the rapid rise in the number of sellers on Shopee has resulted in intensified competition within the platform. E-commerce platforms typically offer various services to assist sellers in marketing their products, including organic and paid options. Paid services on e-commerce platforms can enhance product exposure. However, the effectiveness of these paid services is being questioned due to the large number of sellers utilizing them. This research aims to assess the significance of sellers using paid services in the competitive landscape of e-commerce platforms. The study adopts a quantitative approach and explores the topic from a neuromarketing perspective. Eye-tracking, a neuromarketing method that records and analyzes where consumers focus their attention and how they navigate and make purchases on digital platforms, is used in this research. The findings of this study indicate that there is no statistically significant difference in the time required to locate and select products sold by organic sellers and paid sellers. This research will help e-commerce platform providers improve their services for customers. The article also discusses the research implications and limitations in more detail.
Uniﬁed On-chip Memory Allocation for SIMT Architecture

The popularity of general purpose Graphic Processing Unit (GPU) is largely attributed to the tremendous concurrency enabled by its underlying architecture – single instruction multiple thread (SIMT) architecture. It keeps the context of a signiﬁcant number of threads in registers to enable fast “context switches” when the processor is stalled due to execution dependence, memory requests and etc. The SIMT architecture has a large register ﬁle evenly partitioned among all concurrent threads. Per-thread register usage determines the number of concurrent threads, which strongly aﬀects the whole program performance. Existing register allocation techniques, extensively studied in the past several decades, are oblivious to the register contention due to the concurrent execution of many threads. They are prone to making optimization decisions that beneﬁt single thread but degrade the whole application performance. Is it possible for compilers to make register allocation decisions that can maximize the whole GPU application performance? We tackle this important question from two different aspects in this paper. We ﬁrst propose an uniﬁed on-chip memory allocation framework that uses scratch-pad memory to help: (1) alleviate single-thread register pressure; (2) increase whole application throughput. Secondly, we propose a characterization model for the SIMT execution model in order to achieve a desired on-chip memory partition given the register pressure of a program. Overall, we discovered that it is possible to automatically determine an on-chip memory resource allocation that maximizes concurrency while ensuring good single-thread performance at compile-time. We evaluated our techniques on a representative set of GPU benchmarks with non-trivial register pressure. We are able to achieve up to 1.70 times speedup over the baseline of the traditional register allocation scheme that maximizes single thread performance.
Factors Affecting the Number of Registered Automobile Insurance in Myanmar Based on Bayesian Modeling Using the MCMC Procedure

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The Impact of Mineralocorticoid Receptor Blockers on Changes in Pulse Wave Velocity, Arterial Pressure and Heart Related Deaths in Hemodialysis Patients

: The unique electrolytic and pathophysiological environment of hemodialysis patients, along with their increased cardiovascular risk and vulnerability, requires dedicated exploration of the therapeutic potentials of mineralocorticoid receptor agonists (MRAs). The presence of chronic kidney disease (CKD) often influences the decision to start, uptitrate, or discontinue possible life - saving therapies, especially when it comes to patients with reduced left ventricular ejection fraction (HFrEF), the treatment approach needs to be carefully considered. Our goal is to outline the design and rationale of our pilot study, which investigates the impact of mineralocorticoid receptor blockers (MRAs), more precisely finerenone on changes in pulse wave velocity (PWV), arterial pressure, and heart - related deaths in patient undergoing hemodialysis. To be eligible for study entrollment patients must be at least three months on a chronic hemodialysis program, ACE inhibitors or angiotensin receptor blockers must be included in the therapy at maximum tolerable doses from the beginning, serum potassium level between two dialysis needs to be ≤ mmol/L, left ventricular ejection fraction needs to be ≤ 50%, pulse wave velocity higher than estimated for the age. Patients who meet the criteria will be randomized into two groups in a 1: 1 ratio. Randomized allocation was assigned by a permuted block design, stratified by center. The allocation notification to the group was conveyed through a study form signed by the patient during the initial examination. Group A = RAAS blockers and finerenone 10 mg. Group B: RAAS blockers with other conventional therapy and placebo. This pilot study addresses responses to whether changes in pulse wave and arterial pressure, through MRAs therapy, can reduce the number of heart - related deaths in dialysis patients. The findings aim to shed light on the potential impact of MRAs on cardiovascular outcomes in this population. The pilot study will be completed 12 months after the last enrolment.
Towards a better representation of the solar cycle in general circulation models

We introduce the improved Freie Universitat Berlin (FUB) high-resolution radiation scheme FUBRad and compare it to the 4-band standard ECHAM5 SW radiation scheme of Fouquart and Bonnel (FB). Both schemes are validated against the detailed radiative transfer model libRadtran. FUBRad produces realistic heating rate variations during the solar cycle. The SW heating rate response with the FB scheme is about 20 times smaller than with FUBRad and cannot produce the observed temperature signal. A reduction of the spectral resolution to 6 bands for solar irradiance and ozone absorption cross sections leads to a degradation (reduction) of the solar SW heating rate signal by about 20%. The simulated temperature response agrees qualitatively well with observations in the summer upper stratosphere and mesosphere where irradiance variations dominate the signal. Comparison of the total short-wave heating rates under solar minimum conditions shows good agreement between FUBRad, FB and libRadtran up to the middle mesosphere (60–70 km) indicating that both parameterizations are well suited for climate integrations that do not take solar variability into account. The FUBRad scheme has been implemented as a sub-submodel of the Modular Earth Submodel System (MESSy).
Phylogeography of Two Enigmatic Sulphur Butterflies, Colias mongola Alphéraky, 1897 and Colias tamerlana Staudinger, 1897 (Lepidoptera, Pieridae), with Relations to Wolbachia Infection

Simple Summary The genus Colias Fabricius, 1807 is a taxonomically challenging group of butterflies. Many Colias taxa display a high level of intraspecific variation in wing pattern and are weakly differentiated with respect to genitalia structure; therefore, a conclusion on their status as a distinct species, subspecies or local form can be controversial. In such cases, it is crucial to conduct a comprehensive analysis based on various phylogenetic and biogeographical approaches and a large-scale sampling dataset in order to resolve existing taxonomic and nomenclatural problems. In the present study, we focused on two enigmatic Colias taxa of unclear taxonomic status, Colias mongola Alphéraky, 1897 and Colias tamerlana Staudinger, 1897, restricted in distribution to western Mongolia, northwestern China and the south Siberian part of Russia. Here, we conducted a DNA barcode-based analysis that revealed complicate genetic pattern with several differentiated haplotypes clustered in four distinct haplogroups. In addition, we found a strong correlation between a specific mitochondrial haplogroup and Wolbachia infection, suggesting that Wolbachia endosymbionts may have played an essential role in the biology and diversification of the taxa in question and the genus Colias as a whole. Abstract The genus Colias Fabricius, 1807 includes numerous taxa and forms with uncertain status and taxonomic position. Among such taxa are Colias mongola Alphéraky, 1897 and Colias tamerlana Staudinger, 1897, interpreted in the literature either as conspecific forms, as subspecies of different but morphologically somewhat similar Colias species or as distinct species-level taxa. Based on mitochondrial and nuclear DNA markers, we reconstructed a phylogeographic pattern of the taxa in question. We recover and include in our analysis DNA barcodes of the century-old type specimens, the lectotype of C. tamerlana deposited in the Natural History Museum (Museum für Naturkunde), Berlin, Germany (ZMHU) and the paralectotype of C. tamerlana and the lectotype of C. mongola deposited in the Zoological Institute, Russian Academy of Sciences, St. Petersburg, Russia (ZISP). Our analysis grouped all specimens within four (HP_I–HP_IV) deeply divergent but geographically poorly structured clades which did not support nonconspecifity of C. mongola–C. tamerlana. We also show that all studied females of the widely distributed haplogroup HP_II were infected with a single Wolbachia strain belonging to the supergroup B, while the males of this haplogroup, as well as all other investigated specimens of both sexes, were not infected. Our data highlight the relevance of large-scale sampling dataset analysis and the need for testing for Wolbachia infection to avoid erroneous phylogenetic reconstructions and species misidentification.
Daily Forecast Skill of Multi-Center Grand Ensemble

In this study, we investigated the daily forecast skill of Multi-Center Grand Ensemble (MCGE), consisting of three operational medium-range ensemble forecast data by the Japan Meteorological Agency (JMA), the National Centers for Environmental Prediction (NCEP), and the Canadian Meteorological Center (CMC). The forecast skill was evaluated by RMSE for Z500 over the NH (20 ◦ N-90 ◦ N) from August 2005 to February 2006. It is found that the e®ects of multi-model and increasing ensemble size appear in daily score. When RMSE of a single-center ensemble is extremely large, namely a Hight-Impact weather (HIW) occurs, MCGE can avoids being worst score by the e®ects of multi-model and increasing ensemble size. These e®ects result from the fact that a certain single-center ensemble is not always most skillful. MCGE contains various possibilities on a HIW. This leads to the avoidance of the worst score of ensemble mean. Also this might lead to the useful probabilistic information on a HIW.
Does Insulin Resistance Contribute to Neuroinflammation, Cognitive Decline and Brain Senescence in Obesity?

The burgeoning prevalence of obesity and overweight conditions from the age of adolescence and throughout the lifespan has reached epidemic proportions in industrialized nations throughout the globe. The development of insulin resistance is one of the most common observations in obesity and is associated with a systemic hypoxia in adipose tissue and a chronic inflammatory state. The insulin resistance affects multiple elements of substrate oxidation and oxidative free radical generation in both somatic and neural tissues and with cytokine-linked chronic inflammation likely originating in adipose tissue depots. In studies with aging congenic lean and obese rats chronic hyperinsulinemia and brain shrinkage has now been reported, albeit it in the absence of Type 2 diabetes (NIDDM), hypertension (HTN) or other comorbidities, thereby suggesting that aspects of disordered substrate metabolism including insulin resistance as commonly observed in obesity may be a key contributory factor in the development of a neuroinflammatory linked brain shrinkage with accompanying decreases in brain mass, protein and DNA content, and which were further compromised when fed an isocaloric high vs. a low glycemic insulinogenic diet containing sucrose vs. cornstarch respectively. These results suggest that chronic insulin resistance of obesity secondary at least in part to dietary factors represents a likely independent risk factor in the progression of neuroinflammation, DNA damage, brain shrinkage and neural senescence in this strain of obese rats.