Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of life , anxiety and depression symptoms in early and late pregnancy in women with pregestational diabetes Running title : Physical and mental health in pregnancy

1 Center for Pregnant Women with Diabetes, Rigshospitalet University Hospital, Copenhagen, 2 Department of Endocrinology, Rigshospitalet University Hospital, Copenhagen, 3 Steno Diabetes Center, Gentofte, 4 The Institute for Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 5 Department of Obstetrics, Rigshospitalet University Hospital, Copenhagen, Denmark
Germinal Center B Cell-Like (GCB) and Activated B Cell-Like (ABC) Type of Diffuse Large B Cell Lymphoma (DLBCL): Analysis of Molecular Predictors, Signatures, Cell Cycle State and Patient Survival

Aiming to find key genes and events, we analyze a large data set on diffuse large B-cell lymphoma (DLBCL) gene-expression (248 patients, 12196 spots). Applying the loess normalization method on these raw data yields improved survival predictions, in particular for the clinical important group of patients with medium survival time. Furthermore, we identify a simplified prognosis predictor, which stratifies different risk groups similarly well as complex signatures. We identify specific, activated B cell-like (ABC) and germinal center B cell-like (GCB) distinguishing genes. These include early (e.g. CDKN3) and late (e.g. CDKN2C) cell cycle genes. Independently from previous classification by marker genes we confirm a clear binary class distinction between the ABC and GCB subgroups. An earlier suggested third entity is not supported. A key regulatory network, distinguishing marked over-expression in ABC from that in GCB, is built by: ASB13, BCL2, BCL6, BCL7A, CCND2, COL3A1, CTGF, FN1, FOXP1, IGHM, IRF4, LMO2, LRMP, MAPK10, MME, MYBL1, NEIL1 and SH3BP5. It predicts and supports the aggressive behaviour of the ABC subgroup. These results help to understand target interactions, improve subgroup diagnosis, risk prognosis as well as therapy in the ABC and GCB DLBCL subgroups.
Examining the Formation of Individual's Privacy Concerns: Toward an Integrative View

Numerous public opinion polls reveal that individuals are quite concerned about threats to their information privacy. However, the current understanding of privacy that emerges is fragmented and usually discipline-dependent. A systematic understanding of individuals’ privacy concerns is of increasing importance as information technologies increasingly expand the ability for organizations to store, process, and exploit personal data. Drawing on information boundary theory, we developed an integrative model suggesting that privacy concerns form because of an individual’s disposition to privacy or situational cues that enable one person to assess the consequences of information disclosure. Furthermore, a cognitive process, comprising perceived privacy risk, privacy control and privacy intrusion is proposed to shape an individual’s privacy concerns toward a specific Web site’s privacy practices. We empirically tested the research model through a survey (n=823) that was administered to users of four different types of web sites: 1) electronic commerce sites, 2) social networking sites, 3) financial sites, and 4) healthcare sites. The study reported here is novel to the extent that existing empirical research has not examined this complex set of privacy issues. Implications for theory and practice are discussed, and suggestions for future research along the directions of this study are provided.
Relaxed constant positive linear dependence constraint qualiﬁcation for disjunctive programs

The disjunctive program is a class of optimization problems in which the constraint involves a disjunctive set which is the union of ﬁnitely many polyhedral convex sets. In this paper, we introduce a notion of the relaxed constant positive linear dependence constraint qualiﬁcation (RCPLD) for the disjunctive program. Our notion is weaker than the one we introduced for a nonsmooth system which includes an abstract set constraint recently (J. Glob. Optim. 2020) and is still a constraint qualiﬁcation for a Mordukhovich stationarity condition for the disjunctive program. To obtain the error bound property for the disjunctive program, we introduce the piecewise RCPLD under which the error bound property holds if all inequality constraint functions are subdiﬀerentially regular and the rest of the constraint functions are smooth. We then specialize our results to the ortho-disjunctive program, which includes the mathematical program with equilibrium constraints (MPEC), the mathematical program with vanishing constraints (MPVC) and the mathematical program with switching constraints (MPSC) as special cases. For MPEC, we recover MPEC-RCPLD, an MPEC variant of RCPLD and propose the MPEC piecewise RCPLD to obtain the error bound property. For MPVC, we introduce MPVC-RCPLD as a constraint qualiﬁcation and the piecewise RCPLD as a suﬃcient condition for the error bound property. For MPSC, we show that both RCPLD and the piece-wise RCPLD coincide and hence it is not only a constraint qualiﬁcation, but also a suﬃcient condition for the error bound property.
Integrating Artificial Intelligence with Quality by Design in the Formulation of Lecithin/Chitosan Nanoparticles of a Poorly Water-Soluble Drug

The aim of the current study is to explore the potential of artificial intelligence (AI) when integrated with Quality by Design (QbD) approach in the formulation of a poorly water-soluble drug, for its potential use in carcinoma. Silymarin is used as a model drug for its potential effectiveness in liver cancer. A detailed QbD approach was applied. The effect of the critical process parameters was studied on each of the particle size, size distribution, and entrapment efficiency. Response surface designs were applied in the screening and optimization of lecithin/chitosan nanoparticles, to obtain an optimized formula. The release rate was tested, where artificial neural network models were used to predict the % release of the drug from the optimized formula at different time intervals. The optimized formula was tested for its cytotoxicity. A design space was established, with an optimized formula having a molar ratio of 18.33:1 lecithin:chitosan and 38.35 mg silymarin. This resulted in nanoparticles with a size of 161 nm, a polydispersity index of 0.2, and an entrapment efficiency of 97%. The optimized formula showed a zeta potential of +38 mV, with well-developed spherical particles. AI successfully showed high prediction ability of the drug’s release rate. The optimized formula showed an enhancement in the cytotoxic effect of silymarin with a decreased IC50 compared to standard silymarin. Lecithin/chitosan nanoparticles were successfully formulated, with deep process and product understanding. Several tools were used as AI which could shift pharmaceutical formulations from experience-dependent studies to data-driven methodologies in the future.
Low-noise oscillator

Oscillator includes a transistor, a resonant circuit coupled between the control electrode of the output transistor of the transistor, and a dc bias circuit of the transistor. dc bias circuit includes a first voltage generating circuit, and a differential amplifier. Differential amplifier includes a first input coupled to a fixed reference voltage, a second input coupled to a voltage generating circuit, and an output coupled to the control electrode of the transistor. Voltage generating circuit, the second input of the differential amplifier, generates a voltage related to the current through the output electrode of the transistor. FIELD 1
Prognostic significance of the metastatic lymph node ratio in gastric cancer patients after radical resection

Objective: Our study aims to investigate the prognostic significance of metastatic lymph nodes ratio (MLR) in gastric cancer patients undergoing radical resection. Methods: 477 patients who were diagnosed with gastric adenocarcinoma with more than 15 lymph nodes dissected by postoperative pathology, undergoing radical gastrectomy were retrospectively analyzed during January 2010 to December 2011. And the clinicopathologic parameters were analyzed to investigate the relationship between the MLR staging and pN staging in assessing the prognosis of gastric cancer patients. Result: The median follow-up time is 53 months, and the overall survival time is 45.5 months on average. The estimated overall 1-year, 3-year and 5-year survival rates were 89.94%, 64.0% and 52.1% respectively. Spearman correlation analysis showed that MLR did not correlate with the inspected number of lymph nodes (P=0.657), whereas pN did (P=0.001). Univariate analysis and Cox multivariate stepwise regression analysis showed that MLR stage, histological type, tumor sites, vascular cancer embolus, lymphatic vessel invasion, pathological stage and tumor size were independent prognostic factors (P < 0.05), while pN classification, invasion depth, differentiation degree, nerve invasion, gross type were not significantly independent prognostic parameters (P > 0.05). In subgroup analysis, the MLR stage showed more homogenous survival than pN classification in pN3 stage (P=0.002), meanwhile, the pN classification showed more homogenous survival than MLR stage in MLR1 stage (P=0.000). ROC curves analysis displayed MLR was consistent with pN on evaluating the diagnostic value of prognosis in gastric cancer patients, whether staging or not (P > 0.05). Conclusions: MLR stage can be regarded as an important supplement to pN category, and the combination of MLR and pN stage will greatly improve gastric lymph stage system.
Numerical Modelling for effect of rainfall on unsaturated soil slopes

Expansive soils are predominant in many parts of the world. Expansive soil treated as problematic soils, as economic and design a safe slope on expansive soils is major challenge for civil engineers. Expansive soils were compacted under unsaturated condition, in various construction projects. Major failures reported in many countries around the world are due to swell shrinkage characteristics causing unstable slopes. Fills and compacted soils have an inherent suction when they are first compacted. The suction is the most important factor which affects the shear strength of unsaturated soil. variation of suction in unsaturated soil is an important factor considered for solving issues like slope stability and bearing capacity failure in unsaturated soil. Rainwater infiltration are major triggering factor for failureof expansive soil slopes. The strength of unsaturated soil changes with water evaporation and infiltration. Due to infiltration of rainwater into the soil a significant change in the pore water takes place. Hence, this fluctuation in pore water pressure responsible for the distinct mechanical behavior of unsaturated soil under different Geotechnical problems. A numerical modeling was done with Plaxis LE software, considering parameters of unsaturated soil. As the changes in pore-water pressure and moisture content are a function of the flow of moisture through the soil-atmosphere boundary.The effect of soil type, rainfall intensity, location of ground water table, permeability functionsareconsidered to reproduce the soil-atmosphere interaction. Obtain results illustrates the combine effect of suction and increase of saturation due to rainfall on slopes. It was observed that rainfall increase the induced matric suction and increase the positive pore water pressure finally results in slope failures.
Robust Kalman-Type Filter for Non-Gaussian Noise: Performance Analysis With Unknown Noise Covariances

The Kalman filter (KF) is optimal with respect to minimum mean square error (MMSE) if the process noise and measurement noise are Gaussian. However, the KF is suboptimal in the presence of non-Gaussian noise. The maximum correntropy criterion Kalman filter (MCC-KF) is a Kalman-type filter that uses the correntropy measure as its optimality criterion instead of MMSE. In this paper, we modify the correntropy gain in the MCC-KF to obtain a new filter that we call the measurement-specific correntropy filter (MSCF). The MSCF uses a matrix gain rather than a scalar gain to provide better selectivity in the way that it handles the innovation vector. We analytically compare the performance of the KF with that of the MSCF when either the measurement or process noise covariance is unknown. For each of these situations, we analyze two mean square errors (MSEs): the filter-calculated MSE (FMSE) and the true MSE (TMSE). We show that the FMSE of the KF is less than that of the MSCF. However, the TMSE of the KF is greater than that of the MSCF under certain conditions. Illustrative examples are provided to verify the analytical results.
Etude et modélisation de la propagation des fissures de fatigue de roulement amorcées en sous-couche dans l'acier M50(80 Mo Cr V 42)

Ce travail est consacre a l'etude et a la modelisation de la propagation des fissures de fatigue de roulement amorcees en sous-couche dans l'acier MSO. Il consiste a developper une modelisation de la propagation de ces fissures basee sur une approche mixte de type micromecanique/metallurgie physique qui prend en compte les proprietes microstructurales du materiau. Dans la premiere partie de ce travail, des etudes experimentales ont ete conduites pour caracteriser les proprietes mecaniques de l'acier MSO. Le comportement elasto-viscoplastique du materiau a ete etudie et une attention particuliere a ete portee au comportement thermiquement active du mecanisme controlant la deformation plastique. Puis, les mecanismes physiques responsables de la propagation des fissures ont ete identifies dans deux experiences specifiques en etudiant cette propagation, d'une part, a l'aide d'un dispositif simulant les conditions de sollicitation des roulements et, d'autre part, par le suivi par echographie ultrasonore d'essais de fatigue de roulement interrompus. Dans. La deuxieme partie de ce travail, nous avons mis en œuvre une modelisation de la propagation d'une fissure sollicitee en mode II pur, par emission et deplacement thermiquement active de dislocations en pointe de fissure. Ce modele a ensuite ete adapte au mode de chargement specifique d'une fissure amorcee en sous-couche en fatigue de roulement. Enfin, dans le cadre d'une description deterministe, nous evaluons la limite d'endurance des roulements liee a l'arret de la propagation des fissures amorcees en sous-couche et nous estimons le nombre de cycles de la phase de propagation des fissures de leur site d'amorcage a la surface de contact.
Geologic context of the Mars radar "Stealth" region

“Stealth” is a region on Mars that has no distinguishable radar return. Stealth was discovered in 1988 by Muhleman et al. [1991] in 3.5 cm Earth-based radar images, and it was found to extend ∼2000 km along the Martian equator west of Arsia and Pavonis Montes. Stealth was proposed to be a deposit of unconsolidated, granular material with a minimum thickness of several meters, with the most likely explanation being that Stealth is a volcanic tephra deposit [Muhleman et al., 1991, 1995]. Stealth overlies some of the youngest geologic units on Mars, including lava flows and a giant, curvilinear-ridged lobate unit on the west flank of Arsia Mons. Stealth also overlies part of a region of smooth and wind-scoured materials called the Medusae Fossae Formation. Examination of high-resolution Viking orbiter images suggests that Stealth is the youngest of several discontinuous, wind-worked mantles of fine-grained (≪1 cm) sediment. Older deposits of fine sediment appear to be interbedded with lava flows and show evidence of aeolian deposition (dunes and deposits in the lee of topographic obstacles) and erosion (yardangs and pedestal craters). The geologic context supports a volcanic ash origin for Stealth. If Stealth is composed of tephra, then its extent and the nature of landforms in the region indicate that it resulted from multiple eruptions that occurred relatively late in Martian history. Possible source vents include linear depressions (flanked by constructive volcanic landforms) that are located on the lower western slopes of Arsia and Pavonis Montes.
Receptor tyrosine kinase (c-Kit) inhibitors: a potential therapeutic target in cancer cells

: c-Kit, a receptor tyrosine kinase, is involved in intracellular signaling, and the mutated form of c-Kit plays a crucial role in occurrence of some cancers. The function of c-Kit has led to the concept that inhibiting c-Kit kinase activity can be a target for cancer therapy. The promising results of inhibition of c-Kit for treatment of cancers have been observed in some cancers such as gastrointestinal stromal tumor, acute myeloid leukemia, melanoma, and other tumors, and these results have encouraged attempts toward improvement of using c-Kit as a capable target for cancer therapy. This paper presents the findings of previous studies regarding c-Kit as a receptor tyrosine kinase and an oncogene, as well as its gene targets and signaling pathways in normal and cancer cells. The c-Kit gene location, protein structure, and the role of c-Kit in normal cell have been discussed. Comprehending the molecular mechanism underlying c-Kit-mediated tumorogenesis is consequently essential and may lead to the identification of future novel drug targets. The potential mechanisms by which c-Kit induces cellular transformation have been described. This study aims to elucidate the function of c-Kit for future cancer therapy. In addition, it has c-Kit inhibitor drug properties and their functions have been listed in tables and demonstrated in schematic pictures. This review also has collected previous studies that targeted c-Kit as a novel strategy for cancer therapy. This paper further emphasizes the advantages of this approach, as well as the limitations that must be addressed in the future. Finally, although c-Kit is an attractive target for cancer therapy, based on the outcomes of treatment of patients with c-Kit inhibitors, it is unlikely that Kit inhibitors alone can lead to cure. It seems that c-Kit mutations alone are not sufficient for tumorogenesis, but do play a crucial role in cancer occurrence. cancers. Leukemia is the first cancer linked to c-Kit activating mutation. 4 Subsequent studies reported that c-Kit activating mutation is found in almost all cases of systemic mastocytosis and other hematopoietic cancers; these findings support the hypothesis that the c-Kit target is possibly located in the stem cell compartment. 5 c-Kit has been reported to be mostly correlated with gastrointestinal stromal tumor (GIST), with 80% of all GIST cases involving c-Kit activating mutation. As such, the use of Kit inhibitors has provided novel insights for cancer treatment. 6 In addition, Kit mutations have been detected in cancers such as leukemia, 7 unilateral ovarian dysgerminoma, 8–10 melanoma, 11 and others. 12–14 Evidence
Edinburgh Research Explorer Sequencing and functional annotation of avian pathogenic Escherichia coli serogroup O78 strains reveals the evolution of E. coli lineages pathogenic for poultry via distinct mechanisms

Avian pathogenic Escherichia coli (APEC) causes respiratory and systemic disease in poultry. Sequencing of a multilocus sequence type 95 (ST95) serogroup O1 strain previously indicated that APEC resembles E. coli causing extraintestinal human dis-eases. We sequenced the genomes of two strains of another dominant APEC lineage (ST23 serogroup O78 strains (cid:1) 7122 and IMT2125) and compared them to each other and to the reannotated APEC O1 sequence. For comparison, we also sequenced a human enterotoxigenic E. coli (ETEC) strain of the same ST23 serogroup O78 lineage. Phylogenetic analysis indicated that the APEC O78 strains were more closely related to human ST23 ETEC than to APEC O1, indicating that separation of pathotypes on the basis of their extraintestinal or diarrheagenic nature is not supported by their phylogeny. The accessory genome of APEC ST23 strains exhibited limited conservation of APEC O1 genomic islands and a distinct repertoire of virulence-associated loci. In light of this diversity, we surveyed the phenotype of 2,185 signature-tagged transposon mutants of (cid:1) 7122 following intra-air sac inoculation of turkeys. This procedure identiﬁed novel APEC ST23 genes that play strain- and tissue-speciﬁc roles during infection. For example, genes mediating group 4 capsule synthesis were required for the virulence of (cid:1) 7122 and were conserved in IMT2125 but absent from APEC O1. Our data reveal the genetic diversity of E. coli strains adapted to cause the same avian disease and indicate that the core genome of the ST23 lineage serves as a chassis for the evolution of E. coli strains adapted to cause avian or human disease via acquisition of distinct virulence genes. Statisticalanalysis. Bacterialcountsinthelung,liver,andspleenwere analyzedfortheeffectofmutationbymeansofaone-wayF-testafterlog 10 transformation of the data using GraphPad Prism, version 5.04 (Graph-Pad Software, Inc., La Jolla, CA). Subsequent pairwise comparisons with the wild type were performed, and P values of (cid:1) 0.05 were taken to be signiﬁcant.
Bone mineral density in Iranian children with celiac disease

Aim: The current study aims to evaluate bone mineral density (BMD) in patients with celiac disease who were referred to the celiac clinic of Shahid Rahimi Hospital in Khorramabad, Iran, in 2020. Background: Extraintestinal presentations of celiac disease are widespread and, if neglected, can be devastating. Osteoporosis, one of the extraintestinal manifestations of celiac disease, often remains undiagnosed until advanced stages and can impose a significant burden on patients with celiac and health systems. Nonetheless, the prevalence and characteristics of osteoporosis in celiac disease are unknown in Iran. Methods: This was a cross-sectional study at the celiac clinic of Shahid Rahimi Hospital in Khorramabad, Iran. Participants were 48 patients under 18 years diagnosed with Marsh II and Marsh III stages of celiac disease (who need to be on a gluten-free diet) at the pediatrics celiac clinic in 2020. All patients were recruited, completed a questionnaire, and had their blood biochemical parameters analyzed. Then their bone mineral density (BMD) was measured through dual-energy x-ray absorptiometry at the Asia Imaging Center in Khorramabad under the supervision of a radiologist and pediatric rheumatologist. Results: The mean age of the children was 9.96±3.17 years. The minimum and maximum ages of the participants were 4 and 17 years, respectively. Of all 48 children who were included (48), 34 (70.8%) were female, and 14 (29.2%) were male. In the femoral region bone densitometry, 35.4% were normal, 41.7% had lower limit normal, and 22.9% had low bone density. In the lumbar region, 39.6% were normal, 25% were Lower limit normal, and 35.4% had low bone density. No significant correlation was found between age, sex, place of residence, Marsh stage, gluten-free diet, and bone densitometry in both lumbar and femoral regions. Nonetheless, we detected a statistically significant relationship between bone density in the lumbar region and two HLA types, namely HLA DQ8 and HLA DQ2/8 (P=0.016). Conclusion: The results of the current study provided further evidence that all children with advanced celiac disease should be screened for metabolic bone diseases. Besides those in Marsh II and Marsh III, patients in Marsh I stage should also be investigated for low bone mineral density.