Miracle-dz/UniFAR-FTUs huggingface dataset:
Circum-Saharan Prehistory through the Lens of mtDNA Diversity

African history has been significantly influenced by the Sahara, which has represented a barrier for migrations of all living beings, including humans. Major exceptions were the gene flow events that took place between North African and sub-Saharan populations during the so-called African Humid Periods, especially in the Early Holocene (11.5 to 5.5 thousand years ago), and more recently in connection with trans-Saharan commercial routes. In this study, we describe mitochondrial DNA (mtDNA) diversity of human populations from both sides of the Sahara Desert, i.e., both from North Africa and the Sahel/Savannah belt. The final dataset of 7213 mtDNA sequences from 134 African populations encompasses 470 newly collected and 6743 previously published samples, which were analyzed using descriptive methods and Bayesian statistics. We completely sequenced 26 mtDNAs from sub-Saharan samples belonging to the Eurasian haplogroup N1. Analyses of these N1 mitogenomes revealed their possible routes to the Sahel, mostly via Bab el-Mandab. Our results indicate that maternal gene flow must have been important in this circum-Saharan space, not only within North Africa and the Sahel/Savannah belt but also between these two regions.
Risk assessment of urban gas pipeline

Urban gas pipeline is one of the important hazardous source,the serious consequence is usually the fire and explosion due to leakage of natural gas so as to bring hazard to the vicinity.The quantitative risk assessment is very important to its risk management.This paper focuses on the pipeline leakage probability and its consequence due to the characteristic of pipeline and natural gas and estimates the individual risk.Individual risk can be got from the pipeline failure probability which is calculated by historical data and the pipeline fatal length which is calculated by measuring the length of pipeline within three zones of 100%~99%,99%~50% and 50%~1% lethality and corresponding lethality prababilities.The pipeline hazardous distance is designed based on the acceptable criteria of individual risk to support the emergence rescue and planning of pipeline.
A LIBERAL FEMINIST APPROACH TO CHARLOTTE PERKINS GILMAN’S THE YELLOW WALLPAPER

Patriarchal society gives legal rights and economic power to men only so that women are subject to men and imprisoned in private sphere. When women who are given only the role of a wife and mother begin to demand freedom and legal rights, the basis of feminism appears. This study applies liberal feminist approach to Charlotte Perkins Gilman’s The Yellow Wallpaper (1892) in order to analyse the gender roles in terms of patriarchal ideology of separate spheres. After giving birth to a baby, the narrator is diagnosed with hysteria by her husband John who is a physician. She is also prescribed a ‘rest cure’ for three months in the attic of an isolated house. The ‘rest cure’ causes her obsession with the yellow wallpaper and slowly drives her mad due to the limitation of thinking and of raising the consciousness of female in private sphere. To be imprisoned in a room may have enormous risks of disappointment, madness, and suicide. In order to limit a woman’s participation in the intellectual and public sphere, masculine science of nineteenth century’s patriarchal society converts ‘an angel in the house’ into ‘the madwoman in the attic’ under the name of ‘rest cure’. Gilman suggests that a woman can only free herself if her financial conditions are radically changed through finally installing a dialectical movement between private sphere and public sphere.
Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19

Background: To develop a deep-learning (DL) pipeline that allowed an automated segmentation of epicardial adipose tissue (EAT) from low-dose computed tomography (LDCT) and investigate the link between EAT and COVID-19 clinical outcomes. Methods: This monocentric retrospective study included 353 patients: 95 for training, 20 for testing, and 238 for prognosis evaluation. EAT segmentation was obtained after thresholding on a manually segmented pericardial volume. The model was evaluated with Dice coefficient (DSC), inter-and intraobserver reproducibility, and clinical measures. Uni-and multi-variate analyzes were conducted to assess the prognosis value of the EAT volume, EAT extent, and lung lesion extent on clinical outcomes, including hospitalization, oxygen therapy, intensive care unit admission and death. Results: The mean DSC for EAT volumes was 0.85 ± 0.05. For EAT volume, the mean absolute error was 11.7 ± 8.1 cm3 with a non-significant bias of −4.0 ± 13.9 cm3 and a correlation of 0.963 with the manual measures (p < 0.01). The multivariate model providing the higher AUC to predict adverse outcome include both EAT extent and lung lesion extent (AUC = 0.805). Conclusions: A DL algorithm was developed and evaluated to obtain reproducible and precise EAT segmentation on LDCT. EAT extent in association with lung lesion extent was associated with adverse clinical outcomes with an AUC = 0.805.
Synthesis of Dansyl Cyclen and Preliminary Study of Its Fluorescent Properties

The synthesis of a dansyl cyclen-based compound as a potential chemical sensor has been carried out. The initial study of its fluorescent properties has also been conducted. This study aims to synthesize a cyclen-based compound comprising three identical pendant arms and another different arm carrying a dansyl fluorophore. Producing these heterogenous pendant arms, a-three pendant arm cyclen 9 was reacted with dansyl aziridine 10. The synthesis products were characterized using 1H NMR, 13C NMR, IR, and elemental analysis. In addition, a Fluorescent Spectrophotometer has been used to assess the fluorescent intensity changes of the synthetic ligand in a range of pH 2–13 and when it was titrated with some metal ions. Based on the results of characterization with 13C NMR for compound 2 and additional characterization with IR and elemental analysis for its hydrochloric form 11, it is wisely said that the proposed compound has been successfully synthesized, giving 66% yield as viscous brown oil 2. Moreover, the fluorescent property showed that the higher the pH employed, the higher the fluorescent intensity observed. Meanwhile, the addition of some cationic metals revealed that cadmium (II) gave the highest increase in the fluorescent intensities among other cationic metals.
Folic Acid-Modified Fluorescent-Magnetic Nanoparticles for Efficient Isolation and Identification of Circulating Tumor Cells in Ovarian Cancer

Ovarian cancer (OC) is a lethal disease occurring in women worldwide. Due to the lack of obvious clinical symptoms and sensitivity biomarkers, OC patients are often diagnosed in advanced stages and suffer a poor prognosis. Circulating tumor cells (CTCs), released from tumor sites into the peripheral blood, have been recognized as promising biomarkers in cancer prognosis, treatment monitoring, and metastasis diagnosis. However, the number of CTCs in peripheral blood is low, and it is a technical challenge to isolate, enrich, and identify CTCs from the blood samples of patients. This work develops a simple, effective, and inexpensive strategy to capture and identify CTCs from OC blood samples using the folic acid (FA) and antifouling-hydrogel-modified fluorescent-magnetic nanoparticles. The hydrogel showed a good antifouling property against peripheral blood mononuclear cells (PBMCs). The FA was coupled to the hydrogel surface as the targeting molecule for the CTC isolation, held a good capture efficiency for SK-OV-3 cells (95.58%), and successfully isolated 2–12 CTCs from 10 OC patients’ blood samples. The FA-modified fluorescent-magnetic nanoparticles were successfully used for the capture and direct identification of CTCs from the blood samples of OC patients.
Simulation of Dry Matter Partitioning, Yield Formation and Fruit Harvest Date of Greenhouse Muskmelon

【Objective】 The aim of the study was to develop a simulation model to predict the yield and harvest date of greenhouse muskmelon for the optimization of climate control and crop management for greenhouse muskmelon production. 【Method】Based on the relationships between partitioning index and the accumulated product of thermal effectiveness and photosynthetically active radiation (TEP), a dry matter partitioning,yield formation and harvest date simulation model for greenhouse muskmelon was developed. Experiments with different sowing dates and substrates were carried out in Shanghai and Nanjing to collect data to develop and validate the model. 【Result】The results showed that for shoot dry weight, root dry weight, stem dry weight, leaf dry weight and fruit dry weight, the coefficient of determination R2 between the simulated and the measured value based on the 1:1 line was 0.99, 0.65, 0.97, 0.98, 0.98, respectively; and the relative prediction error (RSE) was 0.88%, 70.21%, 7.44%, 9.33%, 5.28%, respectively. The R2 and RSE between the simulated and the measured fresh weight of muskmelon based on the 1:1 line was 0.94 and 8.13%, respectively. The R2 and RSE between the simulated and the measured diameter of muskmelon fruit based on the 1:1 line were 0.95 and 9.23%, respectively. The prediction error for harvest date was in ±1 day. 【Conclusion】From the results mentioned above, it can be concluded that the model developed in this study not only can give satisfactory prediction of dry matter partitioning, yield and harvest date of greenhouse muskmelon, but also is user-friendly.
Development of Floating 3D-Printed Devices for Carvedilol Tablet

A floating drug delivery device is one type of gastro-retentive drug delivery system (GRDDS). Carvedilol (CAR) is poorly soluble in alkaline pH (intestinal environment) and has good solubility in the acidic pH (stomach environment). Hence, floating 3D-printed devices (FD) were developed from polylactic acid (PLA) filaments using fused deposition modeling (FDM) and designed to be a tablet shape with an anti-flip-up property as GRDDS of carvedilol tablets. There were two parts of FD, including the cap and the base. The base was designed with different hole diameters (2.5, 3.5, and 4.5 mm) for a controlled drug release. The FD had a smooth texture and white color. All the FD showed the anti-flip-up property. The drug release showed that the FD with 2.5- and 3.5-mm hole diameters had the potential to control the drug release. The CAR tablet-incorporated FD with a 3.5 mm hole diameter showed an optimal sustained-release profile, 99.8 % of drug release in 10 h. Moreover, zero-order kinetic was achieved. Therefore, this device may be promising to provide an extended drug release in the stomach.
Low-Temperature-Processed High-Performance Pentacene OTFTs with Optimal Nd-Ti Oxynitride Mixture as Gate Dielectric

When processed at a low temperature of 200 °C, organic thin-film transistors (OTFTs) with pentacene channel adopting high-k Neodymium-Titanium oxynitride mixtures (NdTiON) with various Ti contents as gate dielectrics are fabricated. The Ti content in the NdTiON is varied by co-sputtering a Ti target at 0 W, 10 W, 20 W and 30 W, respectively, while fixing the sputtering power of an Nd target at 45 W. High-performance OTFT is obtained for the 20 W-sputtered Ti, including a small threshold voltage of −0.71 V and high carrier mobility of 1.70 cm2/V·s. The mobility improvement for the optimal Ti content can be attributed to smoother dielectric surface and resultant larger overlying pentacene grains as reflected by Atomic Force Microscopy measurements. Moreover, this sample with the optimal Ti content shows much higher mobility than its counterpart processed at a higher temperature of 400 °C (0.8 cm2/V·s) because it has a thinner gate-dielectric/gate-electrode interlayer for stronger screening on the remote phonon scattering by the gate electrode. In addition, a high dielectric constant of around 10 is obtained for the NdTiON gate dielectric that contributes to a threshold voltage smaller than 1 V for the pentacene OTFT, implying the high potential of the Nd-Ti oxynitride in future high-performance organic devices.
Broad-Spectrum Theranostics and Biomedical Application of Functionalized Nanomaterials

Nanotechnology is an important branch of science in therapies known as “nanomedicine” and is the junction of various fields such as material science, chemistry, biology, physics, and optics. Nanomaterials are in the range between 1 and 100 nm in size and provide a large surface area to volume ratio; thus, they can be used for various diseases, including cardiovascular diseases, cancer, bacterial infections, and diabetes. Nanoparticles play a crucial role in therapy as they can enhance the accumulation and release of pharmacological agents, improve targeted delivery and ultimately decrease the intensity of drug side effects. In this review, we discussthe types of nanomaterials that have various biomedical applications. Biomolecules that are often conjugated with nanoparticles are proteins, peptides, DNA, and lipids, which can enhance biocompatibility, stability, and solubility. In this review, we focus on bioconjugation and nanoparticles and also discuss different types of nanoparticles including micelles, liposomes, carbon nanotubes, nanospheres, dendrimers, quantum dots, and metallic nanoparticles and their crucial role in various diseases and clinical applications. Additionally, we review the use of nanomaterials for bio-imaging, drug delivery, biosensing tissue engineering, medical devices, and immunoassays. Understandingthe characteristics and properties of nanoparticles and their interactions with the biological system can help us to develop novel strategies for the treatment, prevention, and diagnosis of many diseases including cancer, pulmonary diseases, etc. In this present review, the importance of various kinds of nanoparticles and their biomedical applications are discussed in much detail.
Outcomes of the Pregnancies with Chronic Myeloid Leukemia in the Tyrosine Kinase Inhibitor Era and Literature Review

Chronic myeloid leukemia (CML) is a clonal myeloproliferative neoplasm (MPN) that accounts for 10% of pregnancy-associated leukemias. The Philadelphia chromosome balanced translocation, t (9:22) (q34; q11.2), is the classic mutation seen in CML. The BCR-ABL oncoprotein encoded by this mutation is a constitutively active tyrosine kinase. Tyrosine kinase inhibitor (TKI) therapy is considered a first-line treatment for CML. However, the literature has revealed risks of teratogenicity with TKI therapy during pregnancy. Understanding the risks and benefits of TKI therapy and alternative therapies such as interferon-alpha (IFN-α) will help clinicians and pregnant patients develop a personalized CML treatment plan. This manuscript presents a case series detailing the management of five pregnancies in two pregnant patients with CML and a literature review of CML management in pregnancy.
Lung sound classification using wavelet transform and entropy to detect lung abnormality

Lung sounds provide essential information about the health of the lungs and respiratory tract. They have unique and distinguishable patterns associated with the abnormalities in these organs. Many studies attempted to develop various methods to classify lung sounds automatically. Wavelet transform is one of the approaches widely utilized for physiological signal analysis. Commonly, wavelet in feature extraction is used to break down the lung sounds into several sub-bands before calculating some parameters. This study used five lung sound classes obtained from various sources. Furthermore, the wavelet analysis process was carried out using Discrete Wavelet Transform (DWT) and Wavelet Package Decomposition (WPD) analysis and entropy calculation as feature extraction. In the DWT process, the highest accuracy obtained was 97.98% using Permutation Entropy (PE), Renyi Entropy (RE), and Spectral Entropy (SEN). In WPD, the best accuracy achieved is 98.99 % when 8 sub-bands and RE are used. These results are relatively competitive compared with previous studies using the wavelet method with the same datasets.
Selenium Nanoparticles Biosynthesized by Pantoea agglomerans and Their Effects on Cellular and Physiological Parameters in the Rainbow Trout Oncorhynchus mykiss

Simple Summary Nanoparticles (Nps), new biotechnological tools, possess unique physical and chemical properties and are increasingly being used in several fields, such as manufacture, medicine and veterinary medicine. In this work, we evaluated the effects of selenium (Se) nanoparticles stabilized with L-Cysteine (Se0Nps/L-Cys) as a nutritional supplement, to modulate immunological, oxidative status, and productive parameters in O. mykiss. The results demonstrated that Se0Nps/L-Cys showed less toxicity and higher antioxidant activity than Se0Nps and Na2SeO3. The Se0Nps/L-Cys, as a dietary supplement, had a significantly better effect on both immunological and physiological parameters, causing improvements at the productive level of O. mykiss when compared with Se0Nps and Na2SeO3. We concluded that Se0Nps sythetised by P. agglomerans, used as dietary supplement, is an environmentally friendly and promising alternative for nutritional supplementation for O. mykiss. Abstract The applications of nanoparticles (Nps) as food additives, health enhancers, and antimicrobials in animal production are increasing. The aim of this study was to evaluate the effect of selenium (Se) nanoparticles (Se0Nps) stabilized with L-cysteine (Se0Nps/L-Cys), as a nutritional supplement, on immunological, oxidative status, and productive parameters in O. mykiss. TEM and SEM-EDS showed the accumulation of spherical Se0Nps entirely composed by elemental selenium (Se0) as intracellular and extracellular deposits in Pantoea agglomerans UC-32 strain. The in vitro antioxidant capacity of Se0Nps/L-Cys was significant more efficient ROS scavengers than Se0Nps and Na2SeO3. We also evaluate the effect of Se0Nps/L-Cys on cell viability and oxidative stress in RTgill-W1, RTS-11, or T-PHKM Oncorhynchus mykiss cell lines. Se0Nps/L-Cys showed less toxic and high antioxidant activity than Se0Nps and Na2SeO3. Finally, the dietary Se0Nps/L-Cys had a significant better effect on both plasma lysozyme and respiratory burst activity (innate immune response), on tissular Gpx activity (oxidative status), and on well-being (productive parameter) of O. mykiss when it is compared to Se0Nps and Na2SeO3. Se0Nps/L-Cys is a promising alternative for nutritional supplement for O. mykiss with better performance than Na2SeO3 and Se0Nps, ease to implementation, and reduced environmental impact.
Brief Introduction to In-Silico Drug Discovery Process and Virtual Screening Method; Ubiquitination Regulator in Cancer: A Review

Virtual screening, especially the structure-based virtual screening, has emerged as a reliable, cost-effective and time-saving technique for the discovery of lead compounds. Here, the basic ideas and computational tools for virtual screening have been briefly introduced, and emphasis is placed on aspects of recent development of docking-based virtual screening, scoring functions in molecular docking and ADME/Tox-based virtual screening. This paper gives an overview of drug discovery process and emphasizes in the area of virtual screening. Virtual screening (VS) has emerged as an important tool in identifying bioactive compounds through computational means, by employing knowledge about the protein target or known bioactive ligands. In silico approaches has given a tremendous opportunity to pharmaceutical companies to identify new potential drug targets which in turn affect the success and time of performing clinical trials for discovering new drug targets. The main goal of this work is to review in silico methods for drug discovery process with emphasis on identifying drug targets, where there are genes or proteins associated with specific diseases. This review provides a succinct overview of several recent approaches that employ bioinformatics for the systematic characterization of the targets of bioactive compounds.
Establishment and application of standard parts library of stamping dies based on SolidWorks configuration function

The method and step to establish the standard parts and components library of a stamping die for a punch holder were presented.Using Visual Basic 6.0 to make an application program in which the call in and out of standard parts can be integrated in the program running process of parameterized design of the die,thus increase the automation level of design.
Using a Decision Tree to Identify Non-uniform Fragments in a Text (short paper)

This article discusses the problem of searching for non-uniform text fragments. Each text fragment consists of several paragraphs or separate sentences which significantly differ from the rest of the text in terms of a set of characteristics. The problem of finding non-uniform fragments and their interpretation arises in the study of the pre-revolutionary mag-azines ”Time” (1861-1863), ”Epoch” (1864-1865) and the weekly ”Cit-izen” (1873-1874). It’s a known fact that F. M. Dostoevsky was their editor. It means that he could have made his own edits to the texts of articles written by other authors. In our research the texts were divided into separate parts. For every part the frequency of n-grams (encoded sequences of parts of speech) was determined. Further, the analysis was carried out using decision trees that classified texts by author. In particular, the texts of F. M. Dostoevsky and V. P. Meshchersky were subjected to this analysis.
The disabling effects of enabling social policies on organisations’ human capital development practices for women

1Department of Business, Economics and Social Sciences, University of Salzburg, Salzburg, Austria 2Beedie School of Business, Simon Fraser University, Burnaby, Canada 3Athens University of Economics and Business, Athens, Greece 4Olayan School of Business, American University of Beirut, Beirut, Lebanon 5Faculty of Social Sciences, Economics and Business Administration, University of Bamberg, Bamberg, Germany 6Business School, Dublin City University, Dublin, Ireland 7Cranfield School of Management, Changing World of Work Group, Bedford, UK 8Department of Management and Technology, Bocconi University, Milan, Italy 9Department of Management, Northern Illinois University, DeKalb, Illinois, USA 10Department of Economics and Management, University of Padova, Padua, Italy 11Business School, Universidad de San Andrés, Victoria, Argentina 12Graduate School of Commerce, Waseda University, Tokyo, Japan DOI: 10.1111/1748-8583.12431 Received: 30 September 2019 Revised: 9 September 2021 Accepted: 15 November 2021
Towards an Understanding of Physical vs Virtual Robot Appendage Design

—Augmented Reality (AR) or Mixed Reality (MR) enables innovative interactions by overlaying virtual imagery over the physical world. For roboticists, this creates new opportunities to apply proven non-verbal interaction patterns, like gesture, to physically-limited robots. However, a wealth of HRI research has demonstrated that there are real beneﬁts to physical embodiment (compared, e.g., to virtual robots displayed on screens). This suggests that AR augmentation of virtual robot parts could lead to similar challenges. In this work, we present the design of an experiment to objectively and subjectively compare the use of AR and physical arms for deictic gesture, in AR and physical task environments. Our future results will inform robot designers choosing between the use of physical and virtual arms, and provide new nuanced understanding of the use of mixed-reality technologies in HRI contexts.