Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship of peritumoral lymphatic vessel density, marginal adipose tissue invasion and clinicopathological parameters in breast carcinoma

Objective: To investigate a possible association between peritumoral lymphatic vessel density (LVD) and adipose tissue invasion (ATI) of cancer cells at the tumor margin and their correlation with other prognostic parameters in breast cancer, including lymph node status. Material and methods: Data of 75 patients with breast carcinoma were evaluated through combination of peritumoral LVD and ATI at the tumor margin and compared with clinicopathological parameters. Peritumoral LVD was assessed by immunostaining for D2-40 using the Chalkley counting method. Marginal ATI was defined as either the presence of more than 20 cancer cells in direct contact with the adipose tissue or as the presence of cancer cells in the adipose tissue. Cases were evaluated concerning to patient’s age, tumor size using the TNM staging system, histological type, histological grade (Nottingham histological score, Elston and Ellis), lymphovascular invasion, lymph node metastasis, estrogen receptor (ER), progesterone receptor (PR), HER2/neu status and Ki-67. Results: The relationship was identified between LVD and marginal ATI but without statistical significancy (r = -0,207; p=0,113). There was a significant correlation of the marginal ATI with Ki-67 expression (r=0,250; p =0.03). The regression model (all variables according to ATI) showed a significant total effect (p <0.05), where Ki-67 was an only independent indicator of ATI. Conclusion: The present study suggests that adipose tissue invasion of cancer cells at the tumor margin can be a better predictive biologic indicator of aggressiveness than peritumoral lymphatic vessel density in breast carcinoma. Keywords: breast carcinoma, peritumoral lymphatic vessel density, marginal adipose tissue invasion.
Synthesis of an erodible biomimetic hydrogel for drug delivery using native chemical ligation

Hydrogels are hydrophilic, three dimensional polymers that imbibe large quantities of water while remaining insoluble in aqueous solutions due to chemical or physical cross-linking. The polymers swell in water or biological fluids, immobilizing the bioactive agent, leading to drug release in a well-defined specific manner. Thus the hydrogels’ elastic properties, swellability and biocompatibility make them excellent formulations for drug delivery. Currently, many drug potencies and therapeutic effects are limited or otherwise reduced because of the partial degradation that occurs before the administered drug reaches the desired site of action. On the other hand, sustained release medications release drugs continually, rather than providing relief of symptoms and protection solely when necessary. In fact, it would be much better if drugs could be administered in a manner that precisely matches physiological needs at desired times and at the desired site (site specific targeting). There is therefore an unmet need to develop controlled drug delivery systems especially for delivery of peptide and protein bound drugs. The purpose of this project is to produce hydrogels for structural drug delivery and time-dependent sustained release of drugs (bioactive agents). We use an innovative polymerisation strategy based on native chemical ligation (NCL) to covalently cross-link polymers to form hydrogels. When mixed in aqueous solution, four armed (polyethylene glycol) amine (PEG-4A) end functionalised with thioester and four branched Nterminal cysteine peptide dendrimers spontaneously conjugated to produce biomimetic hydrogels. These hydrogels showed superior resistance to shear stress compared to an equivalent PEG macromonomer system and were shown to be proteolytically degradable with concomitant release of a model payload molecule. This is the first report of a peptide dendrimers/PEG macromonomer approach to hydrogel production and opens up the prospect of facile hydrogel synthesis together with tailored payload release.
Industrial Security Solution for Virtual Reality

In order to protect industrial safety, improve the operation stability of the industrial control system, conduct the response measures for network environment attacked by the external world, and realize simulation in virtual reality environment, in this study, class and sample weighted C-support vector machine (CSWC-SVM) algorithm is first proposed using SVM. Then, the intrusion detection model of industrial control network is built based on the CSWC-SVM algorithm. Finally, KDD CUP 1999 data are introduced to carry out simulation experiments on the algorithm model constructed in this study in the virtual reality simulation environment. The results show when the penalty factor of the polynomial kernel function, radial basis kernel function, and sigmoid kernel function is 104, the average number of support vectors is 45, 46, and 37, respectively; the average training time are about 0.43, 0.45, and 0.47 s, and the average test time is about 9.7, 9.9, and 10.2 s, respectively; the average recognition accuracy is about 85.7%, 86.2%, and 86.7%, and the false positive rate is 3.8%, 2.8%, and 2.3%, respectively; the accuracy of the CSWC-SVM algorithm in different sample sizes (1000–6000) can be kept above 90%. The operation error rate of the CSWC-SVM algorithm is lower than that of C-SVM, C-SVM, and RS-SVM algorithms under different validation data sets. After dimension reduction, the classification accuracy of the CSWC-SVM algorithm is higher than that of C-SVM and WC-SVM algorithms. The weight value increases from 0 to 200, and the number of model errors on 1000, 2000, and 3000 pieces of data decreases significantly. When the weight value is 200, the number of errors drops to 0, and the classification accuracy reaches 100%. In a word, the CSWC-SVM algorithm constructed in this study performs well in response to the attack of the industrial control system in the virtual reality simulation environment, which provides practical significance for the application of virtual reality in industrial monitoring.
Possible Self Dynamics of Community College Students Engaged in 3D Printing in Informal Environments

POSSIBLE SELF DYNAMICS OF COMMUNITY COLLEGE STUDENTS ENGAGED IN 3D PRINTING IN INFORMAL ENVIRONMENTS Lawrence R. Nightingale Jr. Old Dominion University, 2020 Director: Dr. Christopher Glass The overall number of students from diverse backgrounds and women that graduate from community college with degrees in high paying Science Technology Engineering and Mathematics (STEM) disciplines is unacceptably low. The number of opportunities to gain exposure to STEM-based expressions of technology to overcome the dearth of exposure in high school is limited in community college. 3D Printing uses computer-controlled machines to build physical objects one layer at a time starting from the bottom up. The computer-controlled nature of 3D Printing provides a low risk, low cost platform to exercise elements of computer programming and engineering. This study was a phenomenological, qualitative study that was designed to fully describe the process of community college student engagement with 3D Printing. There were three data collection components in the study; first was an initial interview combined with naturalistic observation. Second was recorded documentation in the form of 3D printed objects that students produced. Third was a culminating interview of the participants after they had engaged in a critical number of 3D Printing activities. The results of the study were overwhelming. Students who aspired to be engineers used the lab to sharpen their skills in a low-stakes, high reward setting. Students who worked in the lab expressed greater confidence in their STEM skills. Students considered changing their majors to STEM academic courses of study from social science. Female students overcame a lifetime of counter-messages about women in STEM. Finally, a mountain biking component was designed, manufactured, and field tested by an aspiring engineer who had yet to take a single course in the college engineering curriculum. Based on the findings, it is recommended that 3D Printing be applied more broadly in student supported, peer educated lab settings. STEM majors, in particular engineering and computer science students see a great value in using the machines. Long term study of the retention and graduation rates of students who engage in 3D Printing will be useful for colleges and universities who seek to increase the number of graduating STEM majors at their institutions.
Research on Fine-Grained Classification of Rumors in Public Crisis ——Take the COVID-19 incident as an example

[Purpose / Meaning] Rumors are frequent in the COVID-19 epidemic crisis. In order to unite the power of dispelling rumors of various media platforms to help to break the rumors in a timely and professional manner, this article has designed a new fine-grained classification of rumors about COVID-19 based on the BERT model. [Method / Process] Based on the rumor data of several mainstream rumor refuting platforms, the pre-training model of BERT was used to fine-tuning in the context of COVID-19 events to obtain the feature vector representation of the rumor sentence level to achieve fine-grained classification, and a comparative experiment was conducted with the TextCNN and TextRNN models. [Result / Conclusion] The results show that the classificationF1 value of the model designed in this paper reaches 98.34%, which is higher than the TextCNN and TextRNN models by 2%, indicating that the model in this paper has a good classification judgment ability for COVID-19 rumors, and provides certain reference value for promoting the coordinated refuting of rumors during the public crisis.
The complete mitochondrial genome of the wild silkworm Bombyx mandarina strain Shenyang

Abstract Here, we report the complete mitochondrial genome of Bombyx mandarina strain Shenyang. The genome is 15,682 bp in length and contains a typically conserved 37 metazoan genes (13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes and an A + T-rich region). The A + T-rich region of B. mandarina Shenyang contains only one copy of the repeat element of a 126-bp as found in Chinese B. mandarina. A phylogenetic analysis provides a solid evidence that B. mandarina Shenyang belongs to Chinese B. mandarina, rather than Japanese B. mamdarina. The mitochondrial genome will provide useful information for the origin of the present day silkworm.
Efficient Management Procedures for Suspected or Mild Novel Coronavirus Pneumonia Cases at Mobile Cabin Hospitals/ “方舱医院”条件下新型冠状病毒肺炎疑似或轻型患者的高效诊疗流程

In recently, in order to avoid transmission of novel coronavirus pneumonia (NCP) during outbreak, a large number of patients with suspected or mild are hospitalized in the modified hospital, first diagnosis isolation point or mobile cabin hospitals in Hubei province The diagnosis and treatment for these patients at the special hospitals would be delayed because new medical staffs are unfamiliar with the NCP and the workflow, lead to reduce the efficiency of diagnosis and treatment In addition, the patients suffering mild or moderate NCP are at risk for severe or critical deterioration Therefore, the efficient management method including the timely diagnosis and correct treatment, appropriate surveillance and early identification of patients at risk for severe or critical deterioration is needed for patients with suspected or mild NCP at the special hospitals，which is important to reduce the risk of critical illness and mortality This article summarized the efficient management procedures for patients suspected or mild NCP and the characteristics of patients at high risk for severe or critical deterioration at the special hospitals, aim to help medical staff getting familiar with their work quickly, optimize the clinical workflow and then improve the ability of identifying the high-risk patients early
Incorporation of opaque-2 into ‘UMI 1200’, an elite maize inbred line, through marker-assisted backcross breeding

Abstract Maize is an important agricultural plant valued for its productivity and nutritive qualities. However, a deficiency of two essential amino acids (lysine and tryptophan) significantly reduces the nutritional quality of maize proteins. The recessive opaque-2 (o2) mutant has a greater content of lysine and tryptophan in their endosperm proteins and their bioavailability is better. Therefore, marker-assisted backcross breeding (MABB) was attempted to incorporate the o2 allele from the donor line VQL 1 into the genetic background of UMI 1200 to develop quality protein maize (QPM) lines. Foreground selection for the gene o2 was effected using tightly linked molecular marker umc1066, in UMI 1200 × VQL 1 backcross series. Further, background selection was done together with stringent phenotypic selection for agronomic traits, to accelerate recurrent parent phenome recovery. As a result, three advanced QPM maize lines (DBT 4-1-1/25-10/25-10/25-16, DBT 4-1-1/25-10/25-17/25-11 and DBT 4-1-1/25-10/25-17/25-13) carrying the opaque-2 allele in a homozygous state, similar to VQL 1 were developed. The lysine and tryptophan content of these lines ranged from 0.35% to 0.40% and 0.03 to 0.05%, respectively, which is on par with the VQL 1. Background analysis using 250 simple sequence repeats (SSRs) revealed up to 97% recurrent parent genome recovery. In conclusion, the newly developed QPM lines can be used in future maize breeding programmes to improve the nutritional traits.
Amino acid residue burial & co-evolution in proteins

Analysis of the amino-acid co-substitution patterns has long promised the prediction of protein structure but has failed to deliver. One possible reason is that most methods presume that co-substitution is indicative of residue-residue contact, yet the extent to which this conjecture is true is unproven. Here, a method is developed to investigate the relationship between specific co-substitution types and their propensity to occur at different physical separations in a protein structure. Amino-acids are typically segregated into two types; hydrophilic residues, predominantly found on the protein surface, and the hydrophobic residues in the protein interior. Thus, the propensity of a given amino-acid substitution occurring at the surface must differ from that in the interior of the protein, the implications of this for co-substitution has never previously been considered. To allow a definition of surface and buried residues, the cross-over point demarcating the surface residues from the protein interior was calculated here, using a Half Sphere Exposure with a radius of 13 A, as 20 HSEu, above which value a residue can be considered buried, and below which it can be considered to be on the surface.
Lattice vibrations of the molecular crystal of photoreactive substance with defects

Lattice vibrations are studied theoretically by density-functional based tight-binding methods for the model structure of 2-(2'-hydroxyphenyl)benzoxazole crystal with defects. 2-(2'-hydroxyphenyl)benzoxazole is a photoreactive compound that exhibits excited state intramolecular proton transfer in the structure with an OH.N hydrogen bond. The unit cell of the model structure consists of two crystal unit cells where the molecules have the structure with intramolecular hydrogen bonds OH.N and one molecule is supposed to have a different orientation of the whole molecule or its fragment. The different orientation of the fragment forms the structure with an intramolecular hydrogen bond OH.O. It is calculated that defect caused by the different orientation of the molecule have a lower energy than the defect caused by the different orientation of the fragment. In the frequency region where the contribution of external vibrations of the molecules is significant, the vibrations mainly involve several molecules in the cell. In the region of internal vibrations there are modes, which are local vibrations of the defects. These local vibrations involve mainly motion of the atoms constituting the defect molecule. The number of local vibrations is larger for the defect that corresponds to the formation of the structure with the OH.O hydrogen bond than for the defect that corresponds to the different orientation of the whole molecule with the OH.N hydrogen bond. The internal vibrations of the defect molecule formed by the different orientation of phenol fragment in the lattice undergoes frequency shift in relation to the frequency of the modes of isolated molecule.
Being the Father of a Child Who Is Deaf or Hard of Hearing: A Phenomenological Study of Fatherhood Perceptions and Lived Experiences in the Turkish Context

Abstract:The present study investigated the phenomenon of being a father of a child who is deaf or hard of hearing (DHH) and attending an early intervention service in the Turkish context. The research was designed as a transcendental phenomenological study. The participants were seven fathers of children who were DHH. Data were collected through interviews, document analysis, and a reflective journal. The findings indicated that the fathers experienced fatherhood as a responsibility toward their DHH children and families. Although they experienced much sadness when they learned that their children were deaf, they interpreted the deafness as both the will of God and a challenge. To deal with deafness, the fathers attended an early intervention service and completed educational assignments. The fathers expressed concerned about the future of their children; thus, they said, they intended to support them as long as they, the fathers, lived.
Developments in the quantum Hall effect

The most important applications of the quantum Hall effect (QHE) are in the field of metrology. The observed quantization of the resistance is primarily used for the reproduction of the SI unit ohm, but is also important for high precision measurements of both the fine structure constant and the Planck constant. Some current QHE research areas include the analysis of new electron-electron correlation phenomena and the development of a more complete microscopic picture of this quantum effect. Recently, scanning force microscopy (SFM) of the potential distribution in QHE devices has been used to enhance the microscopic understanding of current flow in quantum Hall systems. This confirms the importance of the theoretically predicted stripes of compressible and incompressible electronic states close to the boundary of the QHE devices.
Fat-Soluble Vitamin Supplementation Levels in Diets for Laying Hens from 28 to 44 Weeks of Age

This study aimed to examine the impact of levels of dietary supplementation with fat-soluble vitamins on the production performance and egg quality of laying hens. Three hundred Hy-Line White W-36 laying hens were evaluated from 28 to 44 weeks of age. The birds were allotted to one of six treatments in a randomized block design with 10 replicates with five birds each. Performance and egg quality parameters were evaluated in four 28-day periods. A corn and soybean meal-based basal diet was formulated so as to meet the nutritional requirements of the animals, with the exception of fatsoluble vitamins. The treatments consisted of dietary supplementation with 0%, 33.3%, 66.7%, 100.0%, 133.3% or 166.7% of fat-soluble vitamins (100% supplementation consisted of 7500 IU, 2000 IU, 10 IU and 1.8 mg of vitamins A, D3, E and K per kilogram of diet, respectively). Eggshell weight, shell thickness, shell strength, feed intake, egg weight, feed conversion per egg mass and feed conversion per dozen eggs showed a quadratic response (p≤0.05) to the treatments, whereas egg mass responded linearly. Optimal results were obtained at an average fat-soluble vitamin supplementation level of 109%, which corresponds to 8175 IU of vitamin A, 2180 IU of vitamin D3, 10.9 IU of vitamin E and 1.96 mg of vitamin K per kilogram of diet.
Adolescent forced swim stress increases social anxiety-like behaviors and alters the dynorphin/kappa opioid receptor system in the basolateral amygdala of males

Adolescence is a developmental period marked by robust neural alterations and heightened vulnerability to stress, a factor that is highly associated with increased risk for emotional processing deficits, such as anxiety. Stress-induced upregulation of the dynorphin/kappa opioid receptor (DYN/KOR) system is thought to, in part, underlie the negative affect associated with stress. The basolateral amygdala (BLA) is a key structure involved in anxiety, and neuromodulatory systems, such as the DYN/KOR system, can 1) regulate BLA neural activity in an age-dependent manner in stress-naïve animals and 2) underlie stress-induced anxiety in adults. However, the role of the DYN/KOR system in modulating stress-induced anxiety in adolescents is unknown. To test this, we examined the impact of an acute, 2-day forced swim stress (FSS – 10 min each day) on adolescent (~postnatal day (P) 35) and adult Sprague-Dawley rats (~P70), followed by behavioral, molecular and electrophysiological assessment 24 hours following FSS. Adolescent males, but not adult males or females of either age, demonstrated social anxiety-like behavioral alterations indexed via significantly reduced social investigation and preference when tested 24 hours following FSS. Conversely, adult males exhibited increased social preference. While there were no FSS-induced changes in expression of genes related to the DYN/KOR system in the BLA, these behavioral alterations were associated with a robust switch in BLA KOR function. Specifically, while the KOR agonist, U69593, significantly increased GABA transmission in the BLA of non-stressed adolescent males, U69593 significantly inhibited BLA GABA transmission in stressed adolescent males, consistent with the observed anxiogenic phenotype in stressed adolescent males. This is the first study to demonstrate a KOR-dependent mechanism that may contribute to stress-induced social anxiety in adolescent males. Importantly, these findings provide evidence for potential KOR-dependent mechanisms that may contribute to pathophysiological interactions with subsequent stress challenges.
EARN: Enhanced ADR With Coding Rate Adaptation in LoRaWAN

As low-power wide-area (LPWA) networks emerge as a cost-effective choice of technologies for city-wide Internet-of-Things (IoT) applications, LoRaWAN, one of the most promising unlicensed band techniques, has received much attention from academia. LoRaWAN presents a set of tunable transmission parameters, along with an adaptive data rate (ADR) mechanism, to promote the best performance under the variable link state. But the performance of ADR, whose design neglects the complex correlation between such parameters, is yet to be practical in terms of both efficiency and scalability. In this article, we derive theoretical performance models of class A unconfirmed-mode LoRaWAN, focusing on the impact of coding rate (CR), a parameter that has not been explored in prior researches. Then, we present EARN, an enhanced greedy ADR mechanism with CR adaptation, to optimize the tradeoff between delivery ratio and energy consumption. In EARN design, we leverage the capture effect to increase the survival rate of colliding signals and introduce a concept of adaptive SNR margin to endure noisy link states. We validate our models and the feasibility of the CR adaptation with an empirical study, and large-scale simulations reveal that our method outperforms the conventional schemes.