Miracle-dz/UniFAR-FTUs huggingface dataset:
‘It is an endless love that makes you think only of his well-being’ – the experiences and accounts of ‘motherly love’ among Israeli mothers with transgender (trans) children

ABSTRACT Little is known about the parenting experiences of mothers with trans young adults. Here, we conducted in-depth semi-structured interviews with 15 Israeli mothers of trans young adults (average age: 21.26) to examine their parenting experiences in terms of the motherly love concept. The mothers described their experiences under the motherly love concept, encompassing unconditional love, protection and self-sacrifice. The mothers presented how their interpersonal relations with their trans children developed through the axis of birth-loss-rebirth, which enhanced their emotional ties with their children. The mothers also described their involvement in social activism as an expression of devoted motherhood that articulated the motherly love concept. The mothers’ parenting experiences were simultaneously similar to, and different from, the motherly love concept, encompassing its essentialist and relational aspects alongside its subversive and socio-political elements.
A Conceptual Framework to Measure the Relationship between Social Media and the Decision-Making Process of Plastic Surgery Consumers in Jordan

Aims: This article describes a unifying conceptual framework to measure the impact of social media on the decision-making process of plastic surgery consumers. Methodology: A conceptual framework for the plastic surgery consumers was developed based on the work of (Blakey, 2011; Schwarz et al., 2013; and Roberts & Lilien, 1993), and a conceptual model was previously developed by Akar et al. (2015). Results: The conceptual framework consists of three components that can be considered in relationship to each other: Social Media, Social Influence Process, and Decision-Making. Although the availability of measures for each of these components varies, the framework can be used to examine the relationship between Social Media and the Decision-Making Process of Plastic Surgery Consumers in Jordan. Conclusion: A conceptual framework that illustrates the relationships between social media and the decision-making process is an essential step toward providing a scientific base for studying plastic surgery consumers in Jordan.
Improving the Diagnostic Performance by Adding Methylation Marker to Conventional Visual Examination in Identifying Oral Cancer

Background: Visual oral examination (VOE) is a conventional oral cancer screening method. This study aimed to evaluate the value of methylation marker to assist VOE in identifying oral epithelial dysplasia and oral squamous cell carcinoma (OED/OSCC) from non-cancerous lesions in a real-world situation. Methods: 201 patients with high-risk personal habits who self-perceived oral anomaly were VOE examined, ZNF582 methylation (ZNF582m) tested, and histologically diagnosed. Results: Among them, 132 patients (65.7%) were histologically diagnosed OED/OSCC. Using VOE, 56.1% OED/OSCC patients had possible oral cancer, whereas 37.7% non-OED/OSCC patients had leukoplakia. ZNF582m-positive was detected in 90.2% OED/OSCC patients and 44.9% non-OED/OSCC patients. Various logistic regression models were postulated to evaluate the diagnostic performance of conventional VOE and new strategies using ZNF582m. ROC analysis and its corresponding C-index demonstrated that either triage or co-testing models of VOE and ZNF582m could improve diagnostic performance and discriminative abilities compared with the VOE only approach. Conclusions: In conclusion, methylation marker test shows equivalent performance to an experienced judgment by oral maxillofacial surgeons and plays a significantly supplementary role in increasing the efficacy in identifying oral malignant lesions. ZNF582m may be an especially important tool for family physicians or general dentists to properly diagnose suspicious oral lesions.
Reduced size dual band pass filters for RFID applications with excellent bandpass/bandstop characteristics

This paper presents the design of two reduced size dual-band metamaterial bandpass filters and its simulation followed by measurements of proposed filters. These filters are supporting different frequency bands and primarily could be utilize in radio frequency identification (RFID) application. The filter includes three cells in which two are symmetrical and both inductively coupled with the third cell which is present in between them. In the proposed designs, three different metamaterial composite right/left handed (CRLH) cell resonators have been analysed for compactness. The CRLH cell consists of an interdigital capacitor, a stub/meander line/spiral inductor and a via to connect the top of the structure and ground plane. Finally, the proposed dual band bandpass filters (using meander line and spiral inductor) are showing size reduction by 65% and 50% (with 25% operating frequency reduction), respectively, in comparison with reference filter using stub inductor. More than 30 dB attenuation has been achieved between the two passbands.
Analysis of Medication Rule of Primary Epilepsy Based on Xiaocheng Yan's Clinical Experience Collection of Epilepsy

Objective To explore and analyze the medication rule of Professor Xiaocheng Yan in the treatment of primary epilepsy, hoping to provide reference for the clinical treatment of primary epilepsy. Methods Mining and analysis of Professor Xiaocheng Yan sorted out the medical cases of primary epilepsy in Xiaocheng Yan's clinical experience collection of epilepsy, extracted the traditional Chinese medicine (TCM) prescription data in the medical cases, standardized the obtained TCM prescription data, and used the data mining function integrated by the ancient and modern medical case cloud platform V2.3. 5 to carry out frequency statistics, cluster analysis, association analysis, and complex network analysis on the TCM data, and the common herbs used by Professor Xiaocheng Yan in the treatment of primary epilepsy, properties and classifications of commonly used herbs, pairs of commonly used herbs, and core prescriptions were obtained. Results A total of 39 cases, 228 medical records, and 230 prescriptions data of TCM were included. A total of 96 Chinese medicinal herbs were involved, and the total frequency of medication was 3,828. High-frequency herbs include Rhizoma Gastrodiae (Tianma) (222 times), Ramulus Uncariae cum Uncis (Gouteng) (220 times), Rhizoma Acori Tatarinowii (Shichangpu) (216 times), Rhizoma Pinelliae Praeparatum (Fabanxia) (207 times), Bombyx Batryticatus (Jiangcan) (206 times), and Periostracum Cicadae (Chantui) (181 times). The main properties and flavors of commonly used Chinese medicinal herbs were sweet, bitter, and pungent, which were mainly attributed to the four meridians of liver, lung, heart, and spleen. Commonly used couplet herbs were {Periostracum Cicadae (Chantui)} ≥ {Bombyx Batryticatus (Jiangcan)}, {Rhizoma Acori Tatarinowii (Shichangpu)} ≥{ Bombyx Batryticatus (Jiangcan)}, {Radix Bupleuri (Chaihu)} ≥ {Radix Scutellariae (Huangqin)}, {Rhizoma Gastrodiae (Tianma)} ≥ {Ramulus Uncariae cum Uncis (Gouteng)}, {Rhizoma Acori Tatarinowii (Shichangpu)} ≥ {Periostracum Cicadae (Chantui)}, {Ramulus Uncariae cum Uncis (Gouteng)} ≥ {Bombyx Batryticatus (Jiangcan)}, {Bombyx Batryticatus (Jiangcan)} ≥ {Rhizoma Gastrodiae (Tianma)}, {Rhizoma Acori Tatarinowii (Shichangpu)} ≥ {Ramulus Uncariae cum Uncis (Gouteng)}, etc. The core prescription composition was based on the addition and subtraction of Tianma Gouteng decoction and Erchen decoction. The main pharmacological mechanisms of core prescriptions are mainly reflected in antioxidation, enhancing GABA efficacy, and regulating NMDA channel and sodium channel, neuroprotection, and so on. Conclusion Professor Xiaocheng Yan's medication for the treatment of primary epilepsy was based on the principle of relieving wind and spasm, drying dampness and resolving phlegm, giving consideration to both Qi and blood, and harmonizing liver, lung, heart, and spleen.
Expression in Human T Regulatory Cells Forkhead Box P3 Regulates TLR10

Although functionally relevant TLRs can be expressed on human T regulatory (Treg) cells, little is known about the transcriptional control of their expression. We hypothesized that the transcription factor forkhead box P3 (FOXP3) regulates the expression of TLR family members in human Treg cells. Using primary human T cells and a reporter assay in Jurkat T cell lines, we dissected the regulation of TLR10, a TLR highly expressed in human Treg cells. We determined that TLR10 was expressed in human Treg cells through quantitative PCR, Western blotting, and ﬂow cytometry. DNA binding of FOXP3 to a suspected cis- regulatory region in proximity to the transcription start site of TLR10 was established through EMSA and chromatin immunoprecipitation. Transcriptional control of TLR10 by FOXP3 was determined through luciferase reporter assays in Jurkat T cell lines. Relevance of FOXP3 to TLR10 gene transcription in primary T cells was established through the transfection of primary CD4 (cid:1) CD25 (cid:2) FOXP3 (cid:2) T cells with a FOXP3 expression vector, which resulted in prompt production of TLR10 mRNA. Enhanced expression of TLR10 protein in primary Treg cells was induced in a calcium-dependent fashion through TCR activation. The suspected promotional cooperation between FOXP3 and NF-AT was established in the abolition of the luciferase signal upon transfection of a mutant FOXP3 devoid of NF-AT-binding activity. These results suggest that human Treg cells express TLR10, and this expression is regulated through a cooperative complex of FOXP3 and NF-AT. The Journal of Immunology, 2007, 179: 1893–1900.
Mobile Virtual Reality Rail Traffic Congestion Prediction Algorithm Based on Convolutional Neural Network

In order to explore a mobile virtual reality railway traffic congestion prediction algorithm based on convolutional neural network, an expanded causal convolution neural network (DCFCN) was proposed, which introduced the expanded convolution to increase the size of the receptive field and obtain the long-term memory of the sequence. At the same time, causal convolution is introduced to solve the problem of information leakage. DCFCN is made up of 6 convolutional layers, each layer achieves causal convolution through padding, and the expansion coefficient increases exponentially layer by layer. Experimental results show that LSTM and GRU can obtain the time sequence relationship of mobile virtual reality traffic flow sequence, and the prediction effect is better than simple method and traditional ARIMA model, but still inferior to DCFCN. The RMSE of DCFCN decreased by 0.38 compared with single-layer LSTM, 0.52 compared with double-layer LSTM, and 0.38 compared with single-layer and double-layer GRU. It shows that TCN model can indeed do better than RNN in sequence modeling. It is proved that the proposed DCFCN is superior to other comparison models in mobile virtual reality traffic flow prediction, and the computational efficiency on GPU is significantly improved.
Peanut Butter Food Safety Concerns—Prevalence, Mitigation and Control of Salmonella spp., and Aflatoxins in Peanut Butter

Peanut butter has a very large and continuously increasing global market. The food safety risks associated with its consumption are also likely to have impacts on a correspondingly large global population. In terms of prevalence and potential magnitude of impact, contamination by Salmonella spp. , and aflatoxins, are the major food safety risks associated with peanut butter consumption. The inherent nature of the Salmonella spp. , coupled with the unique chemical composition and structure of peanut butter, present serious technical challenges when inactivating Salmonella spp. in contaminated peanut butter. Thermal treatment, microwave, radiofrequency, irradiation, and high-pressure processing all are of limited efficacy in inactivating Salmonella spp. in contaminated peanut butter. The removal of aflatoxins in contaminated peanut butter is equally problematic and for all practical purposes almost impossible at the moment. Adopting good manufacturing hygiene practices from farm to table and avoiding the processing of contaminated peanuts are probably some of the few practically viable strategies for minimising these peanut butter food safety risks. The purpose of this review is to highlight the nature of food safety risks associated with peanut butter and to discuss the effectiveness of the initiatives that are aimed at minimising these risks.
Coherent Scene Understanding With 3D Geometric Reasoning

When looking at a single 2D image of a scene, humans could effortlessly understand the 3D world behind the scene even though stereo and motion cues are not available. Due to this remarkable human capability, one of the ultimate goals of computer vision is to enable machines to automatically infer the 3D structure of a scene given a single 2D image. This dissertation proposes methods that produce a geometrically and semantically coherent 3D interpretation of urban scenes from a single image, and shows the benefits of reasoning in 3D when analyzing 2D images. In this dissertation, we model an urban scene using three types of elements. The first type is global geometries such as ground plane and gravity direction. The second type is objects such as cars and pedestrians that have definitive shapes and extents. The third type is vertical surfaces such as building facades that do not have definitive shapes and extents. Such a modeling allows for a richer characterization of an urban scene than existing works. To tackle the inherent ambiguity involved in recovering the 3D structure from a single 2D image, we systematically identify geometric constraints among the three types of elements in our model, and encode such constraints in a Conditional Random Field (CRF). For objects, we consider both their global geometric compatibility with ground plane and gravity direction, and their local geometric compatibility between adjacent objects. For building facades, we decompose them into a set of continuously-oriented planes mutually related by 3D geometric relationships, and constrained by nearby objects in 3D. We also propose a generalized RANSAC algorithm to make the inference of the model tractable. We show that performing 3D geometric reasoning using our model benefits individual tasks such as object detection, viewpoint estimation, and facade layout recovery. In addition, it yields a more informative interpretation of the 3D scene behind the image.
Differential Gene Expression Associated with Soybean Oil Level in the Diet of Pigs

Simple Summary Findings from the analysis of the pig transcriptome may help to better understand the biological mechanisms that can be modulated by the diet. Thus, the aim of this study was to identify the differentially expressed genes from the skeletal muscle and liver samples of pigs fed diets with two different levels of soybean oil (1.5 or 3%). The FA profile in the tissues was modified by the diet mainly related to monounsaturated (MUFA) and polyunsaturated (PUFA). This nutrigenomics study verified the effect of different levels of soybean oil in the pig diet on the transcriptome profile of skeletal muscle and liver, where the higher level of soybean oil added to the diet led to a higher expression of genes targeting biological processes related to lipid oxidation and consequently to metabolic diseases and inflammation. Abstract The aim of this study was to identify the differentially expressed genes (DEG) from the skeletal muscle and liver samples of animal models for metabolic diseases in humans. To perform the study, the fatty acid (FA) profile and RNA sequencing (RNA-Seq) data of 35 samples of liver tissue (SOY1.5, n = 17 and SOY3.0, n = 18) and 36 samples of skeletal muscle (SOY1.5, n = 18 and SOY3.0, n = 18) of Large White pigs were analyzed. The FA profile of the tissues was modified by the diet, mainly those related to monounsaturated (MUFA) and polyunsaturated (PUFA) FA. The skeletal muscle transcriptome analysis revealed 45 DEG (FDR 10%), and the functional enrichment analysis identified network maps related to inflammation, immune processes, and pathways associated with oxidative stress, type 2 diabetes, and metabolic dysfunction. For the liver tissue, the transcriptome profile analysis revealed 281 DEG, which participate in network maps related to neurodegenerative diseases. With this nutrigenomics study, we verified that different levels of soybean oil in the pig diet, an animal model for metabolic diseases in humans, affected the transcriptome profile of skeletal muscle and liver tissue. These findings may help to better understand the biological mechanisms that can be modulated by the diet.
Formation of fast electron tails in Type II solar bursts. Memorandum report

It is shown that low-frequency turbulence, due to the modified two-stream instability excited in the front of a collisionless shock, can accelerate electrons to very large energies in the shock wake. This mechanism can produce nonthermal tails of the sort required to explain Type II solar bursts, contrary to previous conclusions. (GRA)
Microemulsion Encapsulated into Halloysite Nanotubes and their Applications for Cleaning of a Marble Surface

Halloysite nanotubes were used to incorporate anionic surfactant micelles and an organic solvent to generate a cleaning system to be applied in Cultural Heritage restoration. The targeted adsorption is driven by electrostatic interactions based on the nanotubes peculiar charge separation. Namely anionic species are driven to the positively charged inner surface while being prevented from interacting with the halloysite outer surface that possesses a positive charge density. The hybrid organic/inorganic emulsion was characterized by dynamic light scattering. Analysis of the autocorrelation function allowed us to define the presence of surfactant aggregates inside/outside the nanotube lumen as a function of the nanotube/surfactant ratio in an aqueous mixture. The application of this prepared emulsion for the controlled cleaning of a marble artifact is demonstrated. To this purpose, a membrane of nanofibrous polyacrylonitrile was prepared by electrospinning and was applied between the work of art and the cleaning agent to avoid the release of residues on the marble surface. This work represents a further step toward the opportunity to extend the use of emulsions for cleaning protocols for stone-based artifacts or in technological applications where surfactant separation is required by a simple centrifugation/sedimentation method.
INTERNATIONALIZATION OF INDIAN HIGHER EDUCATION- A CASE STUDY

Internationalization in higher education is rapidly gain importance as educational institutions respond to globalization effects. Earlier, there are several models and frameworks indicated by researchers to analyze the internationalization process in any institution; this study uses the Dynamic Systems Theory (DST) framework to analyze the nature and development of the internationalization of Indian higher education and suggest that the internationalization process is dynamic. The framework of DST includes 5 primary levels, i.e., Global, National, Institutional, Program and Personal, each level includes further 5 components such as Purposes, Programs, Approaches, Projects and Outcomes, and every level has its environment, and a developmental range depends on the dynamic connection across the factors. There are three states, such as Initial, Attractor, and Control Parameters are other vital factors in examining the internationalization of higher education at individual levels. Internationalization of O.P. Jindal Global University will be discussed as a case study of implementing a dynamic systems approach to the internationalization of Indian higher education. This study aims to provide theoretical and practical implications for defining, developing, and strengthening the internationalization of Indian higher education through the DST framework.
CKS2 and S100A12: Two Novel Diagnostic Biomarkers for Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic systematicness autoimmunity disease with joint inflammation. RA etiology is still unknown. Early and exact diagnosing is still hard to reach. In the paper, we purposed to discover novel diagnosis biological marker for RA. Two open, usable gene expression profiles of human RA as well as controlled specimens (dataset GSE17755 as well as GSE93272) were downloaded from the GEO database. Differentially expressed genes (DEGs) were screened between 331 RA and 88 control samples. Functional enrichment analysis was applied to explore the possible function of DEGs. Expression levels as well as diagnosis values of biological marker in RA were further verified in our cohort by the use of RT-PCR and ROC assays. We identified 13 DEGs between RA samples and control samples. 13 DEGs were remarkably abundant in NF-kappa B signal pathway. Among the 13 DEGs, CKS2, S100A12, LY96, and ANXA3 exhibited a strong diagnostic ability in screening RA specimens from normal specimens using all AUC > 0.8. Moreover, we confirmed that the expression of CKS2 and S100A12 was distinctly upregulated in RA specimens contrasted to normal specimens. Overall, serum CKS2 and S100A12 could be used as novel diagnosis biological markers for RA patients.
NtDREB-1BL1 Enhances Carotenoid Biosynthesis by Regulating Phytoene Synthase in Nicotiana tabacum

As one of the most imperative antioxidants in higher plants, carotenoids serve as accessory pigments to harvest light for photosynthesis as well as photoprotectors for plants to adapt to high light stress. Phytoene synthase (PSY) is the entry enzyme and also the major rate-limiting enzyme in the carotenoid pathway. Here, we report a dehydration-responsive element-binding protein (DREB) transcription factor member in Nicotiana tabacum K326, NtDREB-1BL1, which regulates carotenoids biosynthesis by binding to the NtPSY promoter. The NtDREB-1BL1 transcript was widely distributed in leaves by Real-time PCR. Confocal image revealed that NtDREB-1BL1 was localized in the nucleus. The chromatin immunoprecipitation (ChIP) with the qPCR technique indicated that NtDREB-1BL1 could anchor the promoter region of NtPSY. Overexpression (NtDREB-1BL1 OE) and RNA interference (NtDREB-1BL1 RNAi) of NtDREB-1BL1 were performed to evaluate its biological function in N. tabacum. Both carotenoid and chlorophyll contents increased in transgenic plants of NtDREB-1BL1 OE compared with wild-type (WT) plants, with the augment of the genes involved in carotenoid biosynthesis. In contrast, the contents of carotenoid and chlorophyll significantly decreased in transgenic plants of NtDREB-1BL1 RNAi compared to WT, along with the decline in the expression of genes related to carotenoid biosynthesis. Moreover, transgenic plants of NtDREB-1BL1 OE exhibited enhanced tolerance under drought stress, with the weakened tolerance of drought stress in transgenic plants of NtDREB-1BL1 RNAi. In conclusion, our results illustrated the new role of transcription factor NtDREB-1BL1 in improving carotenoid biosynthesis through regulating NtPSY expression.