Miracle-dz/UniFAR-FTUs huggingface dataset:
Establishment of Quality Evaluation Method for Yinqiao Powder: A Herbal Formula against COVID-19 in China

Yinqiao powder, with significant anti‐inflammatory and antiviral effects, is a classical formula for the treatment of febrile diseases in China. During the SARS period in 2003, Yinqiao powder showed a good antipyretic effect. It also plays a major role in the treatment for COVID-19 in China. Although there are many studies on the chemical compositions and pharmacological effects of Yinqiao powder, there are few studies on the quality standard system of it. In our study, a systematic quality evaluation method of Yinqiao powder combining HPLC fingerprint with quantitative analysis of multi-components by single marker (QAMS) based on network pharmacology and UPLC-Q-Exactive-Orbitrap-MS was established for the first time. In the UPLC-Q-Exactive-Orbitrap-MS experiment, a total of 53 compounds were identified in the extract solution of Yinqiao powder. In addition, 33 blood components were characterized, 23 of which were prototypes. The results of network pharmacology analysis showed that Yinqiao powder may inhibit inflammatory responses by suppressing IL-6, CXCL2, TNFα, NF-κB, etc., in the treatment of COVID-19. The HPLC fingerprint analysis of Yinqiao powder was conducted at 237 nm and 29 characteristic peaks were matched, 11 of which were identified. Forsythoside A was selected as the internal standard reference and double-wavelength (237 nm and 327 nm) was established in QAMS experiment. The repeatability was well under different conditions, and the results measured by QAMS were consisted with that of the external standard method (ESM), indicating that the QAMS method was reliable and accurate. The quality evaluation method of Yinqiao powder would be helpful to evaluate the intrinsic quality of Yinqiao powder more comprehensively, which is conducive to improve the quality standard of Yinqiao powder and provide a beneficial guarantee for the clinical treatment of COVID-19.
Modul Pembelajaran Digital Pemasaran Daring Dengan Penghitung Harga Jual Berbasis Android

Strategi pemasaran konvensional harus mulai berevolusi ke pemasaran digital. Dengan banyaknya teknologi dan peralatan di internet, maka dibutuhkan pembelajaran tambahan untuk mengoptimalkan penggunaannya dalam pemasaran. Pengetahuan mengenai e-marketing sangat dibutuhkan oleh pelaku bisnis. Konsep pemasaran 4P menyebutkan bahwa harga adalah salah satu elemen yang paling penting dan paling fleksibel, yang memiliki pengaruh signifikan terhadap keputusan pembelian konsumen. Dibutuhkan pertimbangan dan pengertian yang baik dalam menentukan harga. Meskipun banyak informasi mengenai materi di internet, salah satu permasalahan adalah umumnya informasi ini terpencar dan harus dicari. Keadaan ini kadang menimbulkan masalah lain dalam belajar, yaitu waktu dan kenyamanan. Pembuatan sebuah modul digital dengan konten yang terorganisir, dan sebuah program penghitung harga jual di dalamnya, diharapkan dapat membantu mempermudah proses pembelajaran mengenai pemasaran daring. Modul digital dibangun dengan basis android untuk aksesibilitas yang tinggi. Ini memberikan kemudahan dan kenyamanan dalam pembelajaran.
The Effect of Elevated Temperature on Ordinary Portland Cements

A study was directed to analyze the influence of the different types of Ordinary Portland Cements (OPC) on the hardened cement paste exposed to high temperatures. Hardened cement paste specimens with three types of cement and nine water-cement ratios were investigated and heated to 11 heat steps at 28 days of age. Residual compressive strength and relative residual compressive strength were compared to the unheated results. It was shown that the expected range for the relative residual strength of the different types of OPC up to 400 °C is between 90 and 100%. From the local minimum at 150 °C to the maximum at 300 °C. The CEM I 52.5 type of cement shows the least favorable behavior to the increased (over 400 °C) temperature, according to the results of the residual compressive strengths curves and the newly introduced Integrated Temperature Endurance values after the first water-cement ratio (0.3). Nine water-cement ratios were tested with the favorable types of OPC (CEM I 42.5 and CEM I 32.5). At all water-cement ratios, the residual strength tendencies for the two types of cement were parallel. It has been observed that changes in the water-cement ratio have little to no impact on the relative strength curve's shape or the relationship between strength and the water cement ratio. As a result of our experiments applying simply Ordinary Portland Cement, it is obvious that the CEM I 32.5 type of OPC cement significantly outperformed the CEM I 42.5 type in regards of post-heating strength tendencies.
Effect of Inonotus obliquus Extract Supplementation on Endurance Exercise and Energy-Consuming Processes through Lipid Transport in Mice

Inonotus obliquus (IO) is used as functional food to treat diabetes. This study investigated the effect of IO supplementation on body composition in relation to changes in energy expenditure and exercise performance. Male Institute of Cancer Research mice were divided into four groups (n = 8 per group) and orally administered IO once daily for 6 wk at 0 (vehicle), 824 (IO-1×), 1648 (IO-2×), and 2472 mg/kg (IO-3×). IO supplementation increased muscle volume, exhaustive treadmill time, and glycogen storage in mice. Serum free fatty acid levels after acute exercise improved in the IO supplementation group, which exhibited changes in energy expenditure through the peroxisome proliferator-activated receptor (PPAR) pathway. RNA sequencing revealed significantly increased PPAR signaling; phenylalanine, ascorbate, aldarate, and cholesterol metabolism; chemical carcinogenesis; and ergosterol biosynthesis in the IO group compared with the vehicle group. Thus, IO supplements as nutraceuticals have a positive effect on lipid transport and exercise performance. In addition, this study was only IO supplementation without training-related procedures.
Search Funds Characteristics of a New Group of Investors in Poland for Family Businesses Facing the Lack of Succession

Abstract Purpose: To analyze search funds as a new group of investment vehicles in Poland that constitutes a group of potential investors for family companies facing the lack of succession. Methodology: The theoretical part presents family businesses, considers the problem of succession in Poland, and analyzes the literature on available forms of divestment of a family business owner. Moreover, the article presents the roots of search funds creation and their characteristics, which reveals these investment vehicles as theoretically perfect for family businesses without successors. The empirical part presents a study into the sale of a Polish family business to a search fund, which was the first and only search fund deal in Poland until the end of 2020. Findings: The study revealed that the sale of a family business to a search fund should be included in the catalog of possible forms of divestment of a family business owner facing the lack of successors. Originality: The article fills a gap in the literature on family entrepreneurship in the context of selling a business to a search fund in Poland, which has not yet been indicated as one of the methods for owners to exit a business.
OCT Angiography Features in Diabetes Mellitus Type 1 and 2

Purpose: To study the foveal avascular zone (FAZ) and the vessel densities (VD) in diabetic patients using optical coherence tomography angiography (OCT-A) and inner retinal layer changes to compare patients affected by type 1 diabetes (DM1) and type 2 diabetes (DM2). Methods: Cross-sectional observational study involving 150 eyes of 150 patients with DM1, and 155 eyes of 155 patients with DM2 with diabetic retinopathy (DR). Retinal nerve fiber layer (RNFL) and Ganglion cell layer (GCL) were evaluated. OCT-A studied both FAZ and VD at the level of the superficial capillary plexus (SCP) and the deep capillary plexus (DCP). Results: A statistically significant difference in FAZ area and foveal VD measured at the SCP (p < 0.001) was noted between DM1 and DM2 groups when comparing patients with mild and moderate non-proliferative diabetic retinopathy (NPDR), while no differences were found in the severe NPDR and proliferative diabetic retinopathy (PDR) subgroups. Duration of diabetes and stage of DR were directly correlated with enlargement of FAZ area and inversely correlated with foveal VD measured at SCP. RNFL and GCL were not different between DM1 and DM2 groups. Conclusion: Changes in OCT-A parameters detected in FAZ area and VD of diabetic patients with different stages of DR may help to predict the risk for progression of the disease.
CellStress - open source image analysis program for single-cell analysis

This work describes our image-analysis software, CellStress, which has been developed in Matlab and is issued under a GPL license. CellStress was developed in order to analyze migration of fluorescent proteins inside single cells during changing environmental conditions. CellStress can also be used to score information regarding protein aggregation in single cells over time, which is especially useful when monitoring cell signaling pathways involved in e.g. Alzheimer's or Huntington's disease. Parallel single-cell analysis of large numbers of cells is an important part of the research conducted in systems biology and quantitative biology in order to mathematically describe cellular processes. To quantify properties for single cells, large amounts of data acquired during extended time periods are needed. Manual analyses of such data involve huge efforts and could also include a bias, which complicates the use and comparison of data for further simulations or modeling. Therefore, it is necessary to have an automated and unbiased image analysis procedure, which is the aim of CellStress. CellStress utilizes cell contours detected by CellStat (developed at Fraunhofer-Chalmers Centre), which identifies cell boundaries using bright field images, and thus reduces the fluorescent labeling needed.
Phylogeographic Diversity Analysis of Bipolaris sorokiniana (Sacc.) Shoemaker Causing Spot Blotch Disease in Wheat and Barley

Bipolaris sorokiniana is a fungal pathogen that infects wheat, barley, and other crops, causing spot blotch disease. The disease is most common in humid, warm, wheat-growing regions, with South Asia’s Eastern Gangetic Plains serving as a hotspot. There is very little information known about its genetic variability, demography, and divergence period. The current work is the first to study the phylogeographic patterns of B. sorokiniana isolates obtained from various wheat and barley-growing regions throughout the world, with the goal of elucidating the demographic history and estimating divergence times. In this study, 162 ITS sequences, 18 GAPDH sequences, and 74 TEF-1α sequences from B. sorokiniana obtained from the GenBank, including 21 ITS sequences produced in this study, were used to analyse the phylogeographic pattern of distribution and evolution of B. sorokiniana infecting wheat and barley. The degrees of differentiation among B. sorokiniana sequences from eighteen countries imply the presence of a broad and geographically undifferentiated global population. The study provided forty haplotypes. The H_1 haplotype was identified to be the ancestral haplotype, followed by H_29 and H_27, with H_1 occupying a central position in the median-joining network and being shared by several populations from different continents. The phylogeographic patterns of species based on multi-gene analysis, as well as the predominance of a single haplotype, suggested that human-mediated dispersal may have played a significant role in shaping this pathogen’s population. According to divergence time analysis, haplogroups began at the Plio/Pleistocene boundary.
Curing Kinetics and Dielectric Properties of Anhydride Cured Epoxy Resin With Different Accelerator Contents

The addition of accelerator reduces the curing reaction temperature, changes the curing reaction process, and affects the morphology of the crosslinking structure, which would lead to the difference in the dielectric properties of the epoxy resin. In this study, the curing behaviors and dielectric properties of diglycidyl ether of bisphenol A (DGEBA)/methyl hexahydrophthalic anhydride (MHHPA) were investigated with respect to the contents of the curing accelerator, Tris-(dimethylaminomethyl) phenol (DMP-30). The curing behavior of epoxy resin was studied by differential scanning calorimetry (DSC), and it was found that the system conforms to the Sestak–Berggren kinetic model [SB ( ${m},{n}{)}$ ]. The accelerator content has a saturation effect on the dielectric properties of the epoxy resin curing sample, and excessive content can lead to the increase of dielectric constant and loss and decrease of breakdown strength. The cured sample with 0.5% accelerator addition has the best dielectric properties and the highest breakdown strength. The analysis concludes that the optimum accelerator content allows for a more rational curing crosslinking network.
Hölder cocycles and ergodic integrals for translation flows on flat surfaces

The main results announced in this note are an asymptotic expansion for ergodic integrals of translation flows on flat surfaces of higher genus (Theorem 1) and a limit theorem for such flows (Theorem 2). Given an abelian differential on a compact oriented surface, consider the space $\mathfrak B^+$ of Holder cocycles over the corresponding vertical flow that are invariant under holonomy by the horizontal flow. Cocycles in $\mathfrak B^+$ are closely related to G.Forni's invariant distributions for translation flows [10]. Theorem 1 states that ergodic integrals of Lipschitz functions are approximated by cocycles in $\mathfrak B^+$ up to an error that grows more slowly than any power of time. Theorem 2 is obtained using the renormalizing action of the Teichmuller flow on the space $\mathfrak B^+$. A symbolic representation of translation flows as suspension flows over Vershik's automorphisms allows one to construct cocycles in $\mathfrak B^+$ explicitly. Proofs of Theorems 1, 2 are given in [5].
Scalability analysis and performance modelling of layer-parallel training of deep residual networks using a non-linear multigrid-in-time algorithm

sequential propagation of data across the layers of the neural network causes the runtimes to scale linearly with the number of layers, and this creates a scalability bar-rier. In particular, the Residual Network (ResNet) architecture can be interpreted as the forward Euler discretization in time of an optimal control problem, where the trainable network parameters represent the dynamic control variables[1]. Formulating the serial propagation of data across the network as a system of equations, it can then be solved iteratively leveraging the highly parallel multigrid in time methods from optimal control. This is successfully demonstrated for classiﬁcation tasks in [2]. In this talk, we show how to extend it to include regression tasks. One observes very small to negligible increments in runtimes, when the number of layers and computational resources are scaled by the same constant. In addition, fast convergence of this algorithm for networks with more than 1900 layers is demonstrated, and substantial speed-ups over the layer-serial version in experiments with classiﬁcation and regression tasks. This is especially attractive for applications requiring increasingly deeper residual networks, such as image classiﬁcation or networks approximating numerical simulations. An analytical communication model for the performance on distributed-memory architectures is also presented.
Superior <110>-Directed Electron Mobility to <100>-Directed Electron Mobility in Ultrathin Body (110) n-Type Metal–Oxide–Semiconductor Field-Effect Transistors

The direction dependence of electron mobility in (110) n-type metal–oxide–semiconductor field-effect transistor (MOSFET) with an extremely thin silicon-on-insulator (SOI) has been studied. It is newly found that the electron mobility in the <110> direction surpasses that in the <100> direction with SOI thickness of 3.2 nm, which is opposite to the trend observed in bulk n-type MOSFET. The physical origins of this phenomenon can be attributed to the non-parabolicity in the two-fold valley.
A prognostic model for patients with primary extramedullary multiple myeloma

Background: Extramedullary disease is a manifestation of multiple myeloma, the prognosis of which remains poor even in the era of novel drugs. Therefore, we aimed to develop a predictive model for patients with primary extramedullary multiple myeloma (EMM). Methods: Clinical and laboratory data of patients diagnosed with primary EMM between July 2007 and July 2021 were collected and analyzed. Univariate and least absolute shrinkage and selection operation Cox regression analyses (LASSO) were used to select prognostic factors for overall survival (OS) to establish a nomogram prognostic model. The performance of the model was evaluated using concordance index which was internally validated by bootstraps with 1,000 resample, area under the curve (AUCs), and calibration curves. Results: 217 patients were included in this retrospective study. Patients with EMM had a higher rate of belonging to the male sex, age >50 years, advanced Durie–Salmon stage III, hypercalcemia, and low hemoglobin level. Compared with patients with bone-related extramedullary disease, those with extraosseous-related extramedullary disease had a higher frequency of advanced Durie–Salmon stage III, lower rate of hypercalcemia, and elevated prothrombin time. The OS and progression-free survival (PFS) of patients with bone-related extramedullary disease were significantly higher than those of patients with extraosseous-related extramedullary disease. After the univariate and LASSO analyses, six prognostic factors, including performance status, number of extramedullary involved sites, β2-microglobulin, lactate dehydrogenase, monocyte–lymphocyte ratio, and prothrombin time, were integrated to establish a nomogram. The model showed robust discrimination with a concordance index (C-index) of 0.775 (95% confidence interval [CI], 0.713–0.836), internally validated with the corrected C-index of 0.756, and excellent performance in time-dependent AUCs compared with other staging systems. The AUCs for 1-, 3-, and 5-year OS were 0.814, 0.744, and 0.832, respectively. The calibration curves exhibited good consistency between the observed and nomogram-predicted OS. The 5-year OS of patients in the high-risk group (23.3%; 95% CI, 13.9%–39.3%) was much worse than that in the low-risk group (73.0%; 95% CI, 62.5%–85.4%; p < 0.001). Conclusion: The nomogram predictive model based on six clinical variables showed good prognostic performance and could better predict individual survival in patients with EMM.
110 GHz measurement of large-area graphene integrated in low-loss microwave structures

We report high-frequency scattering parameter measurement of large-area monolayer graphene integrated on low-loss quartz substrates. High-quality graphene was grown by chemical vapour deposition on copper, chemically hole doped, and transferred to quartz. Microwave measurements were performed from 0.01 to 110 GHz. Simple microwave models were used to extract graphene impedance parameters. We find that contact resistance is effectively shunted above 3 GHz. Atomically thin large area graphene behaves as a wideband resistor with negligible kinetic inductance and negligible skin effect.
Data science for empowerment: understanding the data science training landscape for women and girls in Africa

Abstract The increasing datafication of African societies has led to a proliferation of data science-related training opportunities. These trainings provide young people with the opportunity to learn the skills to work on Data science, with some focused specifically on women and girls. While this is encouraging and brings new opportunities for women and girls to participate in the knowledge economy, it is important to understand the wider context of data science training in Africa, in particular, how women and girls experience their (data science) education, and how this knowledge can impact their lives, sustain livelihoods and bring empowerment. Through a review of the literature, as well as an examination of different pedagogical approaches and practices used by various formal and informal training programs in Africa, we examined the experience of women and girls. We conducted a mapping of the training and networks that have been set up to provide knowledge and skills and to empower women in data science. We highlight some of the facilitators that have positively contributed to a greater participation of women and girls in data science education, while also revealing some of the barriers and structural impediments to fair access to training for women in data science.
Improved Gerschgorin disk estimator for source enumeration with robustness against spatially non-uniform noise

In this study, a characteristic equation-based Gerschgorin disk estimator (CE-GDE) is proposed for source enumeration. In CE-GDE, the diagonal averages of the array output covariance matrix of a uniform linear array are used to form a new data matrix, whose rank equals the number of the incident signals. Then the signal number is estimated by detecting the rank of this matrix with the Gerschgorin disk estimator. Numerical examples show that CE-GDE surpasses existing methods in scenarios of both spatially uniform and non-uniform noise.
A coarticulation model for continuous digit recognition

Between‐word coarticulation is one of the major problems in continuous speech recognition since it modifies the acoustic characteristics at the boundaries of words. With large vocabulary speech recognition the problem can be solved by introducing the concept of interword units. If the vocabulary is small enough (e.g., digits) all possible coarticulations between all words of the vocabulary can be modeled. In this study every digit is represented by three segments, namely, a core segment that can be assumed reasonably insensitive to any coarticulation effect and head and tail segments that represent, respectively, the initial and the final part of every work spoken in isolation. In addition, a set of juncture segments is defined that represent the junction between every possible pair of words. The recognition process is driven by a regular grammar that represents all the allowed segments sequences, namely, digits spoken in isolation as well as sequences of digits spoken continuously or with pauses between .
Gas Turbine Blade Tip Heat Transfer and Cooling: A Literature Survey

Gas turbines are widely used for aircraft propulsion, land-base power generation, and other industrial applications like trains, marines, automobiles, etc. To satisfy the fast development of advanced gas turbines, the operating temperature must be increased to improve the thermal efficiency and output work of the gas turbine engine. However, the heat transferred to the turbine blade is substantially increased as the turbine inlet temperature is continuously increased. Thus, it is very important to cool the turbine blades for a long durability and safe operation. Cooling the blade must include cooling of the key regions being exposed to the hot gas. The blade tip region is such a critical area and is indeed difficult to cool. This results from the tip clearance gap where the complex tip leakage flow occurs and thereby local high heat loads prevail. This paper presents a literature survey of blade tip leakage flow and heat transfer, as well as research of external and internal cooling technologies. The present paper does not intend to review all published results in this field, nor review all papers from the past to now. This paper is limited to a review of recently available published works by several researchers, especially from 2001 to present, concerning blade tip leakage flow associated with heat transfer, and external or/and internal tip cooling technologies.