Miracle-dz/UniFAR-FTUs huggingface dataset:
An In Vitro Investigation into Cryoablation and Adjunctive Cryoablation/Chemotherapy Combination Therapy for the Treatment of Pancreatic Cancer Using the PANC-1 Cell Line

As the incidence of pancreatic ductal adenocarcinoma (PDAC) continues to grow, so does the need for new strategies for treatment. One such area being evaluated is cryoablation. While promising, studies remain limited and questions surrounding basic dosing (minimal lethal temperature) coupled with technological issues associated with accessing PDAC tumors and tumor proximity to vasculature and bile ducts, among others, have limited the use of cryoablation. Additionally, as chemotherapy remains the first-line of attack for PDAC, there is limited information on the impact of combining freezing with chemotherapy. As such, this study investigated the in vitro response of a PDAC cell line to freezing, chemotherapy, and the combination of chemotherapy pre-treatment and freezing. PANC-1 cells and PANC-1 tumor models were exposed to cryoablation (freezing insult) and compared to non-frozen controls. Additionally, PANC-1 cells were exposed to varying sub-clinical doses of gemcitabine or oxaliplatin alone and in combination with freezing. The results show that freezing to −10 °C did not affect viability, whereas −15 °C and −20 °C resulted in a reduction in 1 day post-freeze viability to 85% and 20%, respectively, though both recovered to controls by day 7. A complete cell loss was found following a single freeze below −25 °C. The combination of 100 nM gemcitabine (1.1 mg/m2) pre-treatment and a single freeze at −15 °C resulted in near-complete cell death (<5% survival) over the 7-day assessment interval. The combination of 8.8 µM oxaliplatin (130 mg/m2) pre-treatment and a single −15 °C freeze resulted in a similar trend of increased PANC-1 cell death. In summary, these in vitro results suggest that freezing alone to temperatures in the range of −25 °C results in a high degree of PDAC destruction. Further, the data support a potential combinatorial chemo/cryo-therapeutic strategy for the treatment of PDAC. These results suggest that a reduction in chemotherapeutic dose may be possible when offered in combination with freezing for the treatment of PDAC.
SubTST: A Combination of Sub-word Latent Topics and Sentence Transformer for Semantic Similarity Detection

: Topic information has been useful for semantic similarity detection. In this paper, we present a study on a novel and efficient method to incorporate the topic information with Transformer-based models, which is called the Sub-word Latent Topic and Sentence Transformer (SubTST). The proposed model basically inherits the advantages of the SBERT (Reimers and Gurevych, 2019) architecture, and learns latent topics in the sub-word level instead of the document or word levels as previous work. The experimental results illustrate the effectiveness of our proposed method that significantly outperforms the SBERT, and the tBERT (Peinelt et al., 2020), two state-of-the-art methods for semantic textual detection, on most of the benchmark datasets.
WDFY3 cell autonomously controls neuronal migration

Background Proper cerebral cortical development depends on the tightly orchestrated migration of newly born neurons from the inner ventricular and subventricular zones to the outer cortical plate. Any disturbance in this process during prenatal stages may lead to neuronal migration disorders (NMDs), which can vary in extent from focal to global. Furthermore, NMDs show a substantial comorbidity with other neurodevelopmental disorders, notably autism spectrum disorders (ASDs). Our previous work demonstrated focal neuronal migration defects in mice carrying loss-of-function alleles of the recognized autism risk gene WDFY3. However, the cellular origins of these defects in Wdfy3 mutant mice remain elusive and uncovering it will provide critical insight into WDFY3-dependent disease pathology . MethodsHere, in an effort to untangle the origins of NMDs in Wdfy3lacZ mice, we employed mosaic analysis with double markers (MADM). MADM technology enabled us to genetically distinctly track and phenotypically analyze mutant and wild type cells concomitantly in vivo using immunofluorescent techniques. ResultsWe revealed a cell autonomous requirement of WDFY3 for accurate laminar positioning of cortical projection neurons and elimination of mispositioned cells during early postnatal life. In addition, we identified significant deviations in dendritic arborization, as well as synaptic density and morphology between wild type, heterozygous, and homozygous Wdfy3 mutant neurons in Wdfy3-MADM reporter mice at postnatal stages. Limitations While Wdfy3 mutant mice have provided valuable insight into prenatal aspects of ASD pathology that remain inaccessible to investigation in humans, like most animal models, they do not a perfectly replicate all aspects of human ASD biology. The lack of human data makes it indeterminate whether morphological deviations described here apply to ASD patients. Conclusions﻿Our genetic approach revealed several cell autonomous requirements of Wdfy3 in neuronal development that could underly the pathogenic mechanisms of WDFY3-related ASD conditions. The results are also consistent with findings in other ASD animal models and patients and suggest an important role for Wdfy3 in regulating neuronal function and interconnectivity in postnatal life.
Application of Allele Specific PCR in Identifying Offspring Genotypes of Bi-Allelic SbeIIb Mutant Lines in Rice

Bi-allelic mutant lines induced by clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated (Cas) systems are important genetic materials. It is very important to establish a rapid and cheap method in identifying homozygous mutant plants from offspring segregation populations of bi-allelic mutant lines. In this study, the offspring genotypes of rice bi-allelic starch branching enzyme IIb mutant lines were identified using the allele specific PCR (AS-PCR) method. The target sequences of two alleles were aligned from their 5′ to 3′ ends, and the first different bases were used as the 3′ ends of mismatch primers. Another mismatched base was introduced at the third nucleotide from the 3′ end of mismatch primer. The PCR reaction mixture and amplification program were optimized according to the differences of mutation target sequence and mismatch primers. The offspring plant genotypes of bi-allelic mutant lines could be accurately identified using the amplified DNA fragments by agarose gel electrophoresis. This study could provide a method reference for the rapid screening of homozygous mutant plants from offspring segregation population of heterozygous and bi-allelic mutant lines.
Predicting User Behaviour Based on the Level of Interactivity Implemented in Blockchain Technologies in Websites and Used Devices

Today’s business development processes force companies to find ways to increase the level of interactivity of their products with consumers. One of the ways that companies communicate interactively with users is communication via websites; another way is using a channel that makes the customer more loyal to the company. The aim of this paper is to point out the differences between the effects that interactive and non-interactive blockchain technologies have on users and their behavior, as well as to determine whether the same degree of interactivity is achieved with users who use the same site via computers or mobile phones. For this purpose, three models by Song, Liu, and Wu were compared, which gives this paper a superior precision and depth of research regarding the above-mentioned problem. Furthermore, the contributions of the paper are reflected in a comprehensive and detailed review of previous research on the topic of interactivity and the importance of using a website, showing the specific effects expected from users after the introduction of interactive website features, as well as indicating a difference in customer perception and behavior after using a different site search device.
Analysis and design of a management information system with MVC pattern

With the development of the technologies of computer network and internet, webbased applications with the Browser/Server mode has made great progresses due to its general availability, easy use and good expansibility. To further improve the reuse, maintenance and expansibility of the program of web applications, a new scheme using J2EE technology to develop web applications is presented according to the MVC (ModelViewController) pattern. The paper presents the platform that is developed with the technologies of JSP, Servlet, JavaBean and JDBC in Sun′s J2EE architecture. This paper discusses the analysis and design techniques for a Webbased management information system with MVC pattern. And the paper also describes the architecture of the management system for the institute, the implementation scheme, the function of the system and the key technologies in detail. 
Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification

: Classifying DNA sequences based on their protein binding proﬁles using Deep Learning has enjoyed considerable success in recent years. Although these models can recognize binding sites at high accuracy, their underlying behaviour is unknown. Meanwhile, adversarial attacks against deep learning models have revealed serious issues in the ﬁelds of image- and natural language processing related to their black box nature. Analysing the robustness of Transcription Factor Binding Site classiﬁers urges us to develop adversarial attacks for them. In this work, we introduce shifting as an adversarial data augmentation so that it quantiﬁes the translational robustness. Our results show that despite its simplicity our attack can signiﬁcantly affect performance. We evaluate two architectures using two data sets with three shifting strategies and train robust models with adversarial data augmentation.
Old English Universal Dependencies: Categories, Functions and Specific Fields

The aim of this paper is to lay the foundations of the application of the framework of Universal Dependencies to Old English. Such application will result in the morphological and syntactic annotation of a large data set of Old English with Universal Dependencies categories and relations. The aim of this paper involves two tasks. Firstly, it is necessary to select the relevant categories from the set of universal part-of-speech tags and to identify the Old English exponents of the universal set of morphological features. Secondly, the dependency relations holding in Old English should be listed. The main conclusion of this paper is that two specific fields should be added to the standard Universal Dependencies annotation scheme in order to account to two central aspects of Old English, namely, a gloss field, given the historical character of the language; and a morphological relatedness field, in order to account for its associative lexicon.
A micro-mechanical model for the fibrous tissues of vocal folds.

Composed of collagen, elastin and muscular fibrous networks, vocal folds are soft laryngeal multi-layered tissues owning remarkable vibro-mechanical performances. However, the impact of their histological features on their overall mechanical properties still remains elusive. Thereby, this study presents a micro-mechanical hyperelastic model able to describe the 3D fibrous architecture and the surrounding matrices of the vocal-fold sublayers, and to predict their mechanical behavior. For each layer, the model parameters were identified using available histo-mechanical data, including their quasi-static response for key physiological loading paths, i.e., longitudinal tension, transverse compression and longitudinal shear. Regardless of the loading path, it is shown how macroscale nonlinear, anisotropic tissue responses are inherited from the fiber scale. Scenarios of micro-mechanisms are predicted, highlighting the major role of 3D fiber orientation in tension, steric hindrance in compression, and matrix contribution in shear. Finally, combining these predictions to vibrating hyperelastic Timoshenko beam's theory, the impact of the fibrous architecture of the upper layers on vocal-fold vibratory properties is emphasized.
Breaking Solitary Wave Impact on a Vertical Seawall

Wave interactions with vertical and sloping seawalls are indeed complicated, especially for the impacts due to breaking waves, which are unsteady, turbulent and multi-phase. Available studies successfully measured the impact pressure due to waves acting on seawalls, whereas the associated flow velocity and turbulence characteristic received limited attention, indicating that the momentum of such violent free-surface flows cannot be determined. In this study, new experiments were carried out in a laboratory-scale wave flume using a non-intrusive image-based measuring technique (bubble image velocimetry, BIV) to measure the flow velocities due to a shoaling solitary wave impinging on and overtopping a vertical seawall. By varying the wave height of solitary waves, the breaking point of a shoaling wave can be changed. As such, the impact point of a breaking wave in relation to the seawall can be thereby adjusted. Considering the same still-water depth, two wave height conditions are studied so as to produce different levels of aerated flows. Effects of high- and low-aerated cases on free surface elevations, flow velocities and turbulence characteristics are presented so as to develop a better understanding of wave-structure interactions. More specifically, the maximum velocities and turbulence intensities at different evolutionary phases are identified for these two cases.
Enrofloxacin Promotes Plasmid-Mediated Conjugation Transfer of Fluoroquinolone-Resistance Gene qnrS

This study aimed to determine the effect of enrofloxacin (ENR) on the transfer of the plasmid-mediated quinolone resistance (PMQR) gene qnrS from opportunistic pathogen Escherichia coli (E2) to Salmonella Enteritidis (SE211) and to analyze the resistance characteristics of SE211-qnrS isolates. The plasmid carrying qnrS gene of E2 was sequenced by Oxford Nanopore technology. The plasmid carrying qnrS gene belonged to incompatibility group IncY. In vitro, the transfer experiment of IncY plasmid was performed by the liquid medium conjugation method. The conjugation transfer frequency of the IncY plasmid was 0.008 ± 0.0006 in the absence of ENR, 0.012 ± 0.003 in 1/32 MICENR, 0.01 ± 0.008 in 1/8 MICENR, and 0.03 ± 0.015 (Mean±SD) in 1/2 MICENR, respectively. After inoculation of E. coli E2 and SE211, chickens were treated with different doses of ENR (3.03, 10, and 50 mg/kg b.w.) for 7 days consecutively. To screen the SE211-qnrS strains from intestinal tract of chickens, the resistance genes and susceptibility of isolates were identified. The amount of E. coli E2 and the copy number of qnrS gene in the chicken intestinal tract were determined by colony counting and qPCR, respectively. In vivo, more SE211-qnrS strains were isolated from the treated group compared with the untreated group. SE211-qnrS strains not only obtained IncY plasmid, but also showed similar resistance phenotype as E2. In conclusion, ENR treatment can promote the spread of a IncY-resistance plasmid carrying the qnrS fluoroquinolone-resistance gene in Escherichia coli and the development of drug-resistant bacteria.
A Machine Learning based Study on Classical Arabic Authorship Identification

Arabic is a widely spoken language with a rich and long written tradition spanning more than 14 centuries. Due to its very peculiars linguistic properties, it constitutes a difficult challenge to some natural language processing applications such as authorship identification, especially in its classical form. Authorship identification works done on Arabic have mainly focused on the investigation of style markers derived from either lexical or structural properties of the studied texts. Despite being effective to a certain degree, these types of style markers have been shown to be unreliable in addressing authorship problems for such language. In this contribution, we present a machine learning-based study on using different types of style markers for classical Arabic. Our aim is to compare the effectiveness of machine learning authorship identification using style markers that do not rely primarily on the lexical or structural dimension of language. We used three types of style markers relying mostly on the syntactic information. By way of illustration, we conducted a study and reported results of experiments done on a corpus of 700 books written by 20 eminent classical Arabic authors.
Male Embryos Produced in vitro Deviate From Their in vivo Counterparts in Placental Gene Expression on Day 32 of Pregnancy

This study compared the gene expression of extraembryonic membranes (EEM) from in vitro produced (IVP) and in vivo (AI) derived pregnancies. A piece of conceptus (day 18) or chorioallantois (day 32) was used for DNA and RNA isolation and sex determination. Male and female ratios were analyzed by Chi-square. A total of three samples per sex and group (AI and IVP, days 18 and 32) were used for transcriptome analysis. Differentially expressed genes (DEGs) were determined using edgeR-robust. A false discovery rate (FDR) <0.05 was used for statistical significance. Sex ratio was similar on day 18 for AI and IVP groups. On day 32, the IVP group had a greater number of females than males (75 vs. 25%, P = 0.004). When comparing AI and IVP males vs. females, in both groups, genes upregulated in females on day 18 were related to placental function such as PAGs and TKDPs. On males on day 18, IFNT-related genes were upregulated. Comparing the techniques within sex, on day 18 female conceptuses, 50 genes were upregulated in IVP, and 21 in AI. IGF2, which is involved in placenta development, and APOA2, APOB, and APOE, involved in lipid metabolism, were upregulated in IVP conceptuses. On day 18, males had 15 upregulated genes in AI and 7 in IVP. On day 32, females had 21 upregulated genes in AI and 53 in IVP. Genes involved in lipid synthesis and metabolism were increased in the IVP group. Males on day 32 presented 899 DEGs, 564 upregulated in AI and 335 in IVP. Embryos from IVP had decreased expression of genes related to lipid and carbohydrate metabolism. Interestingly, pregnancy-associated glycoproteins (PAG) 7, 9, 10, and 19, were downregulated in IVP male. In conclusion, IVP-derived male embryos were more susceptible to alterations in gene expression and these effects extend to the peri-implantation period including genes associated with placental development and markers of placental function.
Zero Forcing Assisted Single Layer Beamforming for Spatial Modulation MIMO Systems

A zero forcing (ZF) assisted single layer beamforming is developed for spatial modulation (SM) and space shift keying (SSK) modulation multiple input multiple output (MIMO) systems, termed as SZF-SM/SZF-SSK, to achieve both transmit beamforming and receive diversity gain in this paper. Specifically, the proposed SZF-SM/SZF-SSK maps part of the bits to spatial domain, simultaneously forming a ZF precoding assisted single layer data both in multiple input single output (MISO) and MIMO systems, that differs greatly from conventional ZF beamforming assisted MIMO systems. With MISO configuration, the ZF precoder of SZF-SM/SZF-SSK converges to the maximum ratio transmission (MRT), achieving only the transmit beamforming gain. With MIMO configuration, SZF-SM/SZF-SSK tranceiver could be further modified along with the MIMO channel to achieve single layer transmission and joint detection, attaining both the transmit beamforming and receive diversity gain in SM-MIMO system. The theoretical analysis and the simulation results of the proposed SZF-SM/SZF-SSK with MISO and MIMO configurations are presented in this paper respectively, which show an attractive performance gain over the conventional SM/SSK. Compared with the conventional ZF beamforming assisted MIMO systems and some other CSI assisted SM-MIMO schemes, the proposed scheme exhibits better performance, especially under highly correlated MIMO channels, rendering a new and practical way to achieve low rank MIMO transmission with good performance and high data rate.
Addressing the Question "What is a Program Text?": via Turing Scholarship

For decades, a range of disciplines (from engineering and computer science to philosophy, law, and history) have seen debates over the nature of computer programs. Various scholars—including Paul Ceruzzi, Timothy Colburn, Gerardo ConDiaz, Liesbeth De Mol, Nathan Ensmenger, Thomas Haigh, and Matti Tedre—have advanced a wide array of views on the matter, debating whether the programs are machines, texts, algorithms, hybrids, or even technologies in the first place [1], [2]. In this Think Piece, I use notions of “law” developed by Arthur Eddington and other contemporaries of Alan Turing to explore what a program text (as opposed to a computer program) is. In the 1920s, Arthur Stanley Eddington, the English astronomer and philosophical enthusiast, proposed a distinction between two kinds of laws: “human or governing laws” on the one hand and “scientific or natural laws”—as found in geometry, mechanics, and physics—on the other hand [3]. “In human affairs,” he wrote, a “law” means “a rule, fortified perhaps by incentives or penalties, which may be kept or broken,” while in science it means “a rule which is never broken; we suppose that, there is something in the constitution of things, which makes its nonfulfilment an impossibility [4]. ” For Eddington, this distinction was consistent with his credo that not all kinds of knowledge of the real world are “ultimately reducible to mathematical equations,” nor, thus, to natural laws. In this regard, he disagreed with many of his colleagues who kept their trust in “the universal dominance of scientific law [5]. ” Although Eddington became increasingly perceived as a dilettantish philosopher during the 1920s–1930s, both by contemporary scientists and specialist philosophers, historians of computer science might well want to have a closer look at his writings in which he discussed the philosophical and religious implications of general relativity theory and quantummechanics to a broad audience [6]. For that audience included another philosophically inclined mind, the young Alan Turing, who would become one of Eddington’s students at Cambridge University [7]. As Andrew Hodges suggests in a philosophical account of Turing, there is reason to believe, that, besides Eddington’s scientific outlook on an uncertain world, parts of his philosophical doctrine rubbed off on Turing as well [8]. The following extract, from an essay draft (entitled “The Nature of Spirit”) written by Turing around 1932, reveals his closeness with both Eddington’s scientificwork andwithmysticism:
The Research of Wheeled Mobile Robot FastSLAM Algorithm

Precise localization of the mobile robot and mapping of unknown environment help the robot to know the environment better,which is the key for the robot to achieve future complex intelligent tasks such as path planning and obstacle avoidance.By discussing mobile robot localization and mapping in an unknown environment.We design a method to build two-dimensional visual landmarks feature map.The method is based on monocular vision sensor and odometer of the robust perceptual model to build the three-dimensional information landmarks database in the world coordinate system and gain feature map,and at the same time complete the navigation of Wheeled Mobile Robot.Results show that the composition programs are suitable.