Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation With Mitotic Count and Clinical Outcome

Morphologic studies of gastric stromal tumors (GSTs) indicate that mitotic counts (MCs) and tumor size are major discriminants predictive of biologic behavior. The authors evaluated the tumor proliferation of GSTs with anti-proliferating cell nuclear antigen (PCNA; DAKO clone POO, DAKO Corporation, Carpinteria, CA) for correlation with MCs, histologic cell type, and clinical outcome. Fifty-eight tumors ranging from 1.5 to 45 cm in size were selected for clinicopathologic assessment. Mitotic activity was counted per 50 high-power fields (MC). For this study, combined parameters of MC and tumor size were used to categorize tumors into three groups: (1) benign: MC less than 5, tumor smaller than 5 cm; (2) borderline: MC less than 5, tumor larger than 5 cm; and (3) malignant: MC greater than 5, tumor any size. The PCNA tumor proliferation index (TPI) was assessed from evaluation of 200 tumor cells per case and expressed as the percentage of cells with positive results. Clinical follow-up was available in 45 cases. None of the 19 benign or 16 borderline tumors recurred or metastasized, whereas 7 of 10 malignant tumors metastasized and 1 of 10 recurred. The mean PCNA TPI values among benign (11.2%), borderline (16%), and malignant (34.5%) tumors were significantly different (P = 0.0002, Kruskal-Wallis test). higher PCNA TPIs in histologically malignant GSTs may correlate with metastasis and clinical outcome; (3) in GSTs with an MC less than 5, the PCNA TPI provides a quantitative parameter to poten tially separate borderline from benign tumors; and (4) the intermediate PCNA TPI of borderline tumors defined by size further justifies separa tion of GSTs into benign, borderline, and malignant categories. J Clin Pathol 1993;100:428-432.
DNND_A_246907 39..47

Rare Diseases Research Platform, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland Abstract: Spinal muscular atrophy 5q (SMA5q) is one of the most severe and common genetic diseases. In the natural course, the disease leads to premature death (in acute forms) or severe motor disability (in chronic forms). As the genetic basis of SMA is very homogenous, the diagnostics are based entirely on simple and sensitive genetic testing. In the last few years, innovative methods of therapy have been developed based on SMN2 gene modification, such as splicing, or replacement of the damaged SMN1 gene (gene therapy). Although these approaches have shown high efficacy, results depend on the age/disease stage at which therapy is initiated. The best results have been obtained in presymptomatic patients. Indeed, introduction of therapy in the preor early symptomatic stage of the disease seems to be crucial for maximizing effects. Thus, all the criteria for the implementation of neonatal screening for SMA have been met, and many countries, ie, the USA, Germany, Belgium, and Australia, have started NBS national/pilot programs for SMA. The initial results of these programs indicate a high frequency of the disease, reaching 1 per 7 thousand live births in Europe, as well as early symptomatology (first weeks of life in severe cases) and a high frequency of patients with 4 SMN2 copies. Overall, the time for therapy inclusion in patients with 4 SMN2 copies remain under discussion. More precise predictors/biomarkers of the clinical course are needed. At the same time, it seems advisable to offer other solutions, such as population carrier screening. As the long-term effects of different treatments on the natural history of SMA are unknown, the natural history of the disease needs to be re-evaluated.
CUT-GRAPHS AND GLOBAL PARAMETERIZATION OF 3D TRIANGLE MESHES

Abstract Given a triangulated surface M with arbitrary genus, the set of its cut-graphs depends on the underlying topology and the selection of a speciﬁc one should be guided by the surface geometry and targeted applications. Most of the previous work on this topic uses mesh traversal techniques for the evaluation of the geodesic metric, and therefore the cut-graphs are inﬂuenced by the mesh connectivity. Our solution is to build up the cut-graph on the iso-contours of a function f : M → R , that cut the topological handles of M , and on the completion of the cut-graph on the planar domain. In the planar domain, geodesic curves are deﬁned by line segments whose counterparts on M , with respect to a diﬀeomorphism φ : M → R 2 , are smooth approximations of geodesic paths. Our method deﬁnes a family of cut-graphs of M which can target diﬀerent applications, such as global parameterization with respect to diﬀerent criteria ( e.g. , minimal length, minimization of the parameterization distortion, or interpolation of points as required by remeshing and texture mapping) or the calculation of polygonal schemes for surface classiﬁcation. The proposed approach ﬁnds a cut-graph of an arbitrary triangle mesh M with n vertices and b boundary components in O (( b − 1) n ) time if M has 0-genus, and O ( n (log( n ) + 2 g + b − 1)) time if g ≥ 1. The associated polygonal schema is reduced if g = 0, and it has a constant number of redundant edges otherwise.
Design concepts for an improved integrated scanning SQUID

In this paper we discuss design concepts for increasing the spatial resolution, improving the sensitivity, and reducing the invasiveness in scanning Superconducting Quantum Interference Device (SQUID) microscope sensors with integrated flux pickup loops. This can be done not only by reducing the ground-rule line widths and spacings, but also by taking advantage of planarization, reducing flux noise through reducing the SQUID inductance, and reducing back-action through dispersive readouts or on-chip filtering.
On the Threshold of New Physics

In May 2008 the long awaited NASA Satellite, GLAST was launched, which will study cosmic gamma rays. In August 2008, it is expected that the CERN's Large Hadron Collidor (LHC) will finally become operationized. This is found to unwield several new particles. All this has the potential of opening the frontier of a New Physics.
Invest Game: Investiments in Startups in an Entrepreneurship Course

One of the great challenges in Engineering education is to open and foment the interest of learning about the technical core of each course and about complimentary themes that are relevant in the life of an engineer. Among the different approaches applied to implement novel learning methodologies, gamification stands as a promising alternative. This work aims to present Invest Game; a game created to be applied in entrepreneurship courses that have activities based on active learning methodologies. Invest Game aims to allow the learning about financial background and applications of startups through interactions among the students of a given class group within an Academic course. Invest game is applied in three rounds of investment, which are made by different teams that interact among themselves in each course term. This article, in these lines, explains step by step the logics and fundamentals of Invest Game and introduces a real case study of its application in an entrepreneurship course at the Engineering School of Lorena at the University of São Paulo in Brazil. In this course, the students were part of teams, which were named as startups with goals to create a business based on the Sustainable Development Goals for 2030 set by the United Nations. A questionnaire was applied at the end of the term, which demonstrates that, for the majority of the students, the game contributed to: (i) the development of competences about investment; (ii) the enhancement of the deliveries given across the course term; and (iii) the development of the startup they created.
Description of a new species of Pseudodebis Forster, 1964 from Central America (Lepidoptera: Nymphalidae: Satyrinae)

: We name and describe a new nymphalid butterfly species, Pseudodebis hartmanni Nakahara & MacDonald, n. sp. (Satyrinae: Satyrini) based on differences in its wing pattern and DNA from the closely related species. Phylogenetic analysis suggests that this Central American species belongs to a strongly supported clade that also includes two sympatric species from western Ecuador: P. nakamurai Nakahara & Willmott, 2021 and P. pieti Nakahara & Willmott, 2021. This whole clade is sister to a Central American species, P. zimri Butler, 1869. The new species described here is currently known only from several sub-montane and montane rainforest habitats across Costa Rica and Panama; its description raises the total number of Pseudodebis to 11 species and underscores the hidden genetic and taxonomic diversity within Euptychiina.
분석 e-Learning Course Reviews Analysis based on Big Data Analytics

These days, various and tons of education information are rapidly increasing and spreading due to Internet and smart devices usage. Recently, as e-Learning usage increasing, many instructors and students (learners) need to set a goal to maximize learners’ result of education and education system efficiency based on big data analytics via online recorded education historical data. In this paper, the author applied Word2Vec algorithm (neural network algorithm) to find similarity among education words and classification by clustering algorithm in order to objectively recognize and analyze online recorded education historical data. When the author applied the Word2Vec algorithm to education words, related-meaning words can be found, classified and get a similar vector values via learning repetition. In addition, through experimental results, the author proved the part of speech (noun, verb, adjective and adverb) have same shortest distance from the centroid by using clustering algorithm.
Intestinal antiinﬂammatory effect of 5-aminosalicylic acid is dependent on peroxisome proliferator–activated receptor- (cid:1)

5-aminosalicylic acid (5-ASA) is an antiinflammatory drug widely used in the treatment of inflammatory bowel diseases. It is known to inhibit the production of cytokines and inflammatory mediators, but the mechanism underlying the intestinal effects of 5-ASA remains unknown. Based on the common activities of peroxisome proliferator–activated receptor- (cid:1) (PPAR- (cid:1) ) ligands and 5-ASA, we hypothesized that this nuclear receptor mediates 5-ASA therapeutic action. To test this possibility, colitis was induced in heterozygous PPAR- (cid:1) (cid:2) / (cid:3) mice and their wild-type littermates, which were then treated with 5-ASA. 5-ASA treatment had a beneficial effect on colitis only in wild-type and not in heterozygous mice. In epithelial cells, 5-ASA increased PPAR- (cid:1) expression, promoted its translocation from the cytoplasm to the nucleus, and induced a modification of its conformation permitting the recruitment of coactivators and the activation of a peroxisome-proliferator response element– driven gene. Validation of these results was obtained with organ cultures of human colonic biopsies. These data identify PPAR- (cid:1) as a target of 5-ASA underlying antiinflammatory effects in the colon. (10 (cid:3) 5 M) showed a similar, approximately threefold induction of PPAR- (cid:1) reporter gene activity indicating the ability of 5-ASA to induce PPAR- (cid:1) activation. Results are expressed as fold activation (mean (cid:5) SEM) compared with untreated cells.
New Concepts in the Vague Graph Structure with an Application in Transportation

Fuzzy graph (FG) models take on the presence being ubiquitous in environmental and fabricated structures by humans, speciﬁcally the vibrant processes in physical, biological, and social systems. Owing to the unpredictable and indiscriminate data which are intrinsic in real life and problems being often ambiguous, it is very challenging for an expert to exemplify these problems through applying an FG. Vague graph structure (VGS), belonging to the FG family, has good capabilities when facing with problems that cannot be expressed by FGs. VGS can handle the vagueness connected with the incompatible and determinate information of any real-world problem, where FGs may not succeed to bear satisfactory results. The previous deﬁnitions’ restrictions in FGs have led us to propose new deﬁnitions in the VGS. Domination is one of the key issues that has many applications in computer science and social networks. Today, many researchers are trying to prove its application in medical sciences and psychology. Therefore, in this paper, diﬀerent concepts related to domination in VGSs such as Ni-dominating set, vague full dominating set, minimal N i -DS, and strong capacity Ni-dominating set are deﬁned using some examples. Finally, an application of domination in medical sciences has been presented.
Transcriptional dysregulation of in ﬂ ammatory/immune pathways after active vaccination against Huntington ′ s disease

Immunotherapy, both active and passive, is increasingly recognized as a powerful approach to a wide range of diseases, including Alzheimer ’ s and Parkinson ’ s. Huntington ’ s disease (HD), an autosomal dominant disorder triggered by misfolding of huntingtin (HTT) protein with an expanded polyglutamine tract, could also bene ﬁ t from this approach. Individuals can be identi ﬁ edgeneticallyat theearliest stagesofdisease,andthere maybeparticularbene ﬁ tstoatherapythat cantargetperipheral tissues in addition to brain. In this active vaccination study, we ﬁ rst examined safety and immunogenicity for a broad series of peptide, protein and DNA plasmid immunization protocols, using fragment (R6/1), and knock-in (zQ175) models. No safety issues were found. The strongest and most uniform immune response was to a combination of three non-overlapping HTT Exon1 coded peptides, conjugated to KLH, delivered with alum adjuvant. An N586-82Q plasmid, delivered via gene gun, also showed ELISA responses, mainly in the zQ175 strain, but with more variability, and less robust responses in HD compared with wild-type controls. Transcriptome pro ﬁ ling of spleens from the triple peptide-immunized cohort showed substantial HD-speci ﬁ c differences including differential activation of genes associated with innate immune responses, absence of negative feedback control of gene expression by regulators, a temporal dysregulation of innate immune responses and transcriptional repressionofgenesassociatedwithmemoryTcellresponses.ThesestudieshighlightcriticalissuesforimmunotherapyandHD disease management in general. (polyQ) to theunstableexpandedpolyQ(4). MousemodelsusingCAGrepeat numbers that would characterize very early onset of HD in humans have been used to follow effects of the mutant gene in brain and peripherally, as well as for preliminary drug testing (5). We have previously shown that intrastriatal delivery of an anti-HTT single-chain Fv antibody gene fragment directly into neuronscancounteracttheHDphenotypeincultures,drosophila and mouse models (6 – 10). Our pilot studyof an active immunization protocol reported that vaccination with a mutant HTT Exon1 DNA fragment could ameliorate a glucose intolerance phenotype in a R6/2 mouse model (11). These results suggest that immuno-therapies have signi ﬁ cant potential for treating CNS and systemic phenotypes in HD. Here, we ﬁ rst comprehensivelyexamine the immunogenicityandsafetyofmultipleprotein,peptideandplas-mid vaccination protocols in the R6/1 fragment (12), and the zQ175 knock-in (13), mouse models of HD.
The Doubly Phosphorylated Form of HPr, HPr(Ser-P)(His (cid:2) P), Is Abundant in Exponentially Growing Cells of Streptococcus thermophilus and Phosphorylates the Lactose Transporter LacS as Efﬁciently as HPr(His (cid:2) P)

In Streptococcus thermophilus , lactose is taken up by LacS, a transporter that comprises a membrane translocator domain and a hydrophilic regulatory domain homologous to the IIA proteins and protein domains of the phosphoenolpyruvate:sugar phosphotransferase system (PTS). The IIA domain of LacS (IIA LacS ) possesses a histidine residue that can be phosphorylated by HPr(His (cid:2) P), a protein component of the PTS. However, determination of the cellular levels of the different forms of HPr, namely, HPr, HPr(His (cid:2) P), HPr(Ser-P), and HPr(Ser-P)(His (cid:2) P), in exponentially lactose-growing cells revealed that the doubly phosphorylated form of HPr represented 75% and 25% of the total HPr in S. thermophilus ATCC 19258 and S. thermophilus SMQ-301, respectively. Experiments conducted with [ 32 P]PEP and puriﬁed recombinant S. thermophilus ATCC 19258 proteins (EI, HPr, and IIA LacS ) showed that IIA LacS was reversibly phosphorylated by HPr(Ser-P)(His (cid:2) P) at a rate similar to that measured with HPr(His (cid:2) P). Sequence analysis of the IIA LacS protein domains from several S. thermophilus strains indicated that they can be divided into two groups on the basis of their amino acid sequences. The amino acid sequence of IIA LacS from group I, to which strain 19258 belongs, differed from that of group II at 11 to 12 positions. To ascertain whether IIA LacS from group II could also be phosphorylated by HPr(His (cid:2) P) and HPr(Ser-P)(His (cid:2) P), in vitro phosphorylation experiments were conducted with puriﬁed proteins from Streptococcus salivarius ATCC 25975, which possesses a IIA LacS very similar to group II S. thermophilus IIA LacS . The results indicated that S. salivarius IIA LacS was phosphorylated by HPr(Ser-P)(His (cid:2) P) at a higher rate than that observed with HPr(His (cid:2) P). Our results suggest that the reversible phosphorylation of IIA LacS in S. thermophilus is accomplished by HPr(Ser-P)(His (cid:2) P) as well as by HPr(His (cid:2) P).
Aging and Sleep Self Report of Sleep Symptoms in Older Adults: Correlates of Daytime Sleepiness and Health

Summary: Sleep problems in the healthy elderly were studied in 628 community-dwelling older adults. Self report of daytime sleepiness in this group was evaluated. Self-reported snoring was significantly associated with reports of daytime sleepiness (p < 0.001), and reported health showed significant associations with age group (p < 0.001), reports of breathing problems (p < 0.001), and reports of excessive daytime sleepiness (p < 0.01). The data strongly support the impact of sleep-related factors on self-perceptions of health in community-dwelling older adults. Even as a subjective self-report measure, snoring readily predicts self-reported problems with daytime sleep iness. studies of the distribution 'of sleeping patterns and 'disorders' need to be conducted in the 'community' utilizing a represen tative sampling scheme, so that the relationship of sleep pat terns to possibly pertinent cultural demographic and other vari ables can be explored (23).
Seismic Signatures and Analysis of Reflection Data in Anisotropic Media

1. Elements of basic theory of anisotropic wave propagation. 2. Influence of anisotropy on point-source radiation and AVO analysis. 3. Normal-moveout velocity in layered anisotropic media. 4. Nonhyperbolic reflection moveout. 5. Reflection moveout of mode-converted waves. 6. P-wave time-domain signatures in transversely isotropic media. 7. Velocity analysis and parameter estimation for VTI media. 8. P-wave imaging for VTI media.
Causal Dynamical Triangulations

Causal Dynamical Triangulations, for short CDT, is a new approach to the nonperturbative quantization of gravity. As in the case of Euclidean dynamical triangulation approaches, CDT provides a regularization of the gravitational path integral through a sum over piecewise linear geometries where the edge length of the individual building blocks serves as an ultraviolet cutoff. However, in the latter the principle of microcausality has been implemented in the path integral by only allowing for geometries which have a definite causal structure even at the smallest scales. This lead to considerable successes over the Euclidean model. This summary reviews sum of the recent results obtained in the case where spacetime is two-dimensional and analytical results can be obtained.
Machine Learning System for Detection of Driver Drowsiness

— Vehicle accident is one of the major causes of death in the world of which around 1.3 million people die every year. Of these, at least 20 - 30 percent are caused due to exhaustion of drivers. The involvement of fatigue as a cause is generally grossly underestimated which can be a major reason for contributing in road accidents. Majority of the accidents in recent times are caused because of distraction or drowsiness of drivers. Lack of sleep or distractions like phone calls, talking with the passengers, etc. lead to road accidents. Fatigue combined with bad infrastructure in developing countries like India is a recipe for disaster. To prevent such accidents we propose a system that alerts the driver if the driver gets diverted or feels drowsy. Machine learning trained models for facial landmarks detection are used with the help of Python libraries in the current approach. Need for such driver drowsiness detection systems which is a real time solution for one of the major threats for drivers as well as passengers has also been recently discussed in the Indian Parliament. This whole system will be deployed on a portable hardware which includes a microcontroller, camera for live face image capture and alarms for alerting the driver which can be easily installed in any vehicle for use.
Bacterial Community Structure in the Hyperarid Core of the Atacama Desert, Chile (cid:1)

Soils from the hyperarid Atacama Desert of northern Chile were sampled along an east-west elevational transect (23.75 to 24.70°S) through the driest sector to compare the relative structure of bacterial communities. Analysis of denaturing gradient gel electrophoresis (DGGE) proﬁles from each of the samples revealed that microbial communities from the extreme hyperarid core of the desert clustered separately from all of the remaining communities. Bands sequenced from DGGE proﬁles of two samples taken at a 22-month interval from this core region revealed the presence of similar populations dominated by bacteria from the Gemmatimonadetes and Planctomycetes phyla.
Consumption of Probiotic Foods and its Relation to Obesity Risk Among Selected College Students in Laguna, Philippines

The increasing prevalence of overweight/obesity in young adults in the Philippines is an alarming nutrition problem that needs to be addressed to prevent its chronic health consequences. Due to its beneficial effect on energy utilization in humans, the consumption of probiotics can serve as a possible intervention to combat overnutrition. As a contribution to the limited research linking the consumption of probiotics to obesity, this cross-sectional study aimed to determine the relationship between the amount and frequency of probiotic consumption and the risk of developing obesity among selected college students in Laguna, Philippines. Using stratified random sampling, 364 respondents were selected. Fischer’s exact text was employed to identify the association between obesity risk and consumption of probiotics. Results show that students mostly consumed dairy products and fermented rice among local probiotic food. Most respondents, however, subsist on a diet containing less than 100 g of probiotic products and consume these products less frequently. No association was established between the consumption of probiotics and the risk of developing obesity. It is recommended that further studies on identifying the relationship between probiotics and obesity should consider the viability and amount of probiotics in the food upon consumption, since its beneficial effects on the human body can only be observed if the right amount is ingested. Moreover, maximizing the beneficial effects of probiotics on human health can be the next step in resolving overnutrition.