Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of placenta Accrcta in women with placenta previa using Gray scale and color Doppler ultrasongraphy.

Mohamed El-Mostafa Abd El-Kareem. Objective: to evaluate Diagnosis of placenta accrete in women e' placenta previa using Gray scale and color Doppler ultrasongraphy. Material and methods: 50 pregnant patient in 2 and 3 trimester with confirmed anterior placenta previa in all forms. Were included prospectively into this study. Gray scale trans Abdominal examination was performed to detect loss of retro placental echo lucent zone and other abnormalities suggestive of placenta accrete. Color Doppler few mapping was used to scan the whole placenta to detect Any newly formed vessels at the serosabladder border or the presence of abnormal lacuanae. The ultra sound findings were analayzed with reference to the diagnosis made during cesarean delivery. Results: placenta accrete and its variants were confirmed in 16 patients at time of cesearean delivery. If we considered the presens of at least one criterion to be diagnostic when using each ultrasound then gray scale would have apositive predictive value (52.9%) followed by color Doppler (70.6%) The majority of patients with placenta accrete showed multiple characteristic features on ultrasound imaging Conclusion: color dopler is useful as a complemantary technique to Gray. Scale in Early detection of placenta accrete.
Influence of Host plants on longevity, fecundity and Y-tube olfactometer response of Bemisia tabaci B (Hemiptera: Aleyrodidae)

The whitefly, Bemisia tabaci B (Hemiptera: Aleyrodidae) is one of the serious sucking pest insects throughout the world on vegetables, fruits, ornamentals, and broad leaf agronomic crops. In this experiment, we observed fecundity and adult longevity of B. tabaci on four different host plants and compare its host plant attraction through a Y-tube olfactometer. Results showed that daily fecundity was different in the entire period of B. tabaci life and more number of total eggs laid on eggplant and medium on tomato and cucumber and lower on pepper. Female life longevity was higher than male life where both of them survive longer on eggplant, medium on tomato and cucumber, and lower on pepper. The Y-tube olfactometer results showed that comparison preferences between cucumber vs. eggplant and tomato vs. eggplant did not differ significantly. Host plant attraction between tomato vs. cucumber, eggplant vs. pepper, cucumber vs. pepper, and tomato vs. pepper differed significantly. The olfactometer results confirmed that eggplant, cucumber, and tomato are preferred hosts where pepper is the non-preferred host for B. tabaci B. These basic results will provide important information for a better understanding of B. tabaci biology as well as dispersal subject to the development of management strategies to successfully combat infestations of the whitefly in a cropping system with different crops.
ARMA Representations and Bounds for the Predictive R 2

A predictive regression for yt and a time series representation of a vector of predictors, xt; together imply an ARMA representation of yt. In this paper we work backwards, and ask: what does the ARMA process for yt tells us about xt; and its predictive power for yt+1? We show that, for any predictive regression for yt; there is both a lower and an upper bound for the predictive R 2 ; that depend only on ARMA parameters. The better xt predicts, the more its predictions must resemble those from a nonfundamental ARMA representation, in which all the MA roots are replaced with their reciprocals. We illustrate using Stock and Watson’s (2007) univariate representation of in‡ation.
The theory of polite support seeking

Thesis Ph. D. Michigan State University. Communication 2014. %%%%This dissertation proposes a Theory of Polite Support Seeking (TOPSS). Social support is a ubiquitous part of interpersonal relationships, but most research focuses on the role of the support provider and support recipient. However, TOPSS asserts that a support seeker can influence the support process by utilizing more or less effective support seeking messages. Drawing from face theory (Goffman, 1967), politeness theory (Brown & Levinson, 1987), and the attribution-emotion-intention model (i.e., attribution theory of motivation; e.g., Weiner, 1980), TOPSS posits that the dimensions of support seeking messages differentially threaten the positive and negative face of potential support providers (PSP), resulting in differences in PSP affect that influence support outcomes. Beyond formally proposing the theory, this dissertation serves as an initial test of the theoretical model. Findings provide partial support for the theory, revealing that the directness of support seeking messages indirectly influences support provision by decreasing perceived threat to positive face thereby increasing willingness to provide support. In combination, the proposal of TOPSS and findings of the initial theory test provide implications for social support theory, research, and practice. %%%%%%%%Description based on online resource;
The local mean mass density of the universe - New methods for studying galaxy clustering

We analyze a catalog of galaxy redshifts nearly complete to a limiting blue magnitude of 13.0 and covering the entire sky. We obtain estimates of the galaxy luminosity function and of the local mean mass density. Our best estimate of the luminosity density is L=1.2 x 10/sup 8/hL/sub sun/ Mpc/sup -/3 (h is Hubble's constant in units of 100 km s/sup -/1 Mpc/sup -/1). The redshift catalog is also the basis for three estimators of the spatial correlation function for the galaxy distribution. We reexamine the well-studied angular correlation function and we define and explore two new redshift-weighted measures of the distribution. These estimators lead to a revised value for the amplitude of the spatial correlation function xi ('ir) = (r/sub c//r)/sup . gamma. /. We find r/sub c/approx. =3h/sup -/1 Mpc, almost a factor of 2 less than the estimates from previous calculations. We also measure the one-dimensional rms relative peculiar velocity dispersion (.delta.v/sup 2/(r))/sup 1/2/, and we find (.delta.v/sup 2/(r))/sup 1/2/approx. =300 +- 30 km s/sup -/1 nearly independent of separation r.Cosmic virial theorems which are cast in terms of the correlation functions and the peculiar velocity dispersion are used to estimate the contribution, . cap omega. /sub G/, of matter associated withmore » galaxies to the critical density. The statistical virial theorems suggest 0.2< or approx. =approx. =/sub G/< or approx. =0.7. « less
Computational model of Fermionic Society: Social polarization study via dynamical mean-field theory

We propose a computational model of ‘Fermionic Society’. It is based on the fermionic Hubbard model, which is used for computational study of the Socioeconomic Polarization. For this purpose, a dynamical mean-field theory of the Hubbard model has been implemented in C#. The simulation has been performed for a range of values of the socioeconomic repulsion potential, which forms the polarization vector-field. A brief review of the range of methods used for social science simulation shows other methods currently commonly in use. Newer methods based on or inspired by quantum physics are also briefly reviewed. A Socio-Cognitive sciences perspective is presented to ground the current work in its sociological roots, leading to a discussion on Socioeconomic Polarization with respect to an archetypal socioeconomic problem to illustrate how polarization and depolarization applies to concrete problems.
A Bridge between Two Worlds: Why Advanced Placement Human Geography Is Good for the Discipline of Geography

Amidst ongoing debates regarding the pros and cons of Advanced Placement Human Geography (APHG) for the field of geography, this article asks whether it has been good for the discipline in the United States. The authors argue that APHG has strengthened U.S. geography because it has been remarkably effective at building bridges between high school and college geography educators, providing professional development opportunities for K–12 teachers, supporting the pipeline of new geographers entering college classrooms, offering a rigorous and comprehensive course, and increasing the number of K–12 students who have been exposed to geography. Rather than focusing on narrower questions about test performance, this article contributes to the literature by assessing the broad question of whether APHG is good for the discipline and by shedding light on the connections APHG has fostered between the often separate worlds of university professors and high school teachers. These insights are based on empirical evidence as well as several decades of combined author experiences at APHG readings.
Canonical Correlation Analysis of Transient EMG Data for Multi-User Motion Intent Detection

Surface electromyography (sEMG) plays a relevant role in pattern recognition problems mainly related to upper limb motion. Lately, particular attention is given to the motion intent detection (MID) which involves transient epoch of the sEMG signal to decode and predict the movement that is going to be performed, which is a key aspect in the development of modern assistive devicesand myoelectric prosthesis. However, results achieved up to now are only related to an intra-subject scenario, while the user-independent case remains less investigated. For this reason, the present study focuses in defining an approach to face the multi-user MID problem, taking advantage of the least square canonical correlation analysis (LS-CCA). Considered data for this study belong to a publicly available dataset and they contain four shoulder movements of eight subjects. In the defined framework, the LS-CCA is used to create a common unified-space where features related to different subjects are maximally correlated among them. Then, the classification is performed through a SVM model. Performance of the classifier was evaluated also increasing the number of calibration trials and training subjects. Moreover, two window lengths are considered for feature extraction, i.e. 150 ms and 50 ms. Obtained results showed an improvement brought by the LS-CCA with an increasing trend of the classification accuracy when more training subjects and more calibration trials are considered; their values passed from 25% without LS-CCA up to 74% with LS-CCA.
Proton pump inhibitors may enhance the risk of digestive diseases by regulating intestinal microbiota

Proton pump inhibitors (PPIs) are the most used acid-inhibitory drugs, with a wide range of applications in the treatment of various digestive diseases. However, recently, there has been a growing number of digestive complications linked to PPIs, and several studies have indicated that the intestinal flora play an important role in these complications. Therefore, developing a greater understanding of the role of the gut microbiota in PPI-related digestive diseases is essential. Here, we summarize the current research on the correlation between PPI-related digestive disorders and intestinal flora and establish the altered strains and possible pathogenic mechanisms of the different diseases. We aimed to provide a theoretical basis and reference for the future treatment and prevention of PPI-related digestive complications based on the regulation of the intestinal microbiota.
Task-oriented arm training for stroke patients based on remote handling technology concepts: Results of a pilot study

Improving arm-hand skill performance is a major goal in the rehabilitation of patients who suffered a stroke. Technology-assisted training may enrich training content and variation. We developed a new task-oriented arm training approach (ReHab- TOAT) based on ‘remote handling concept’ technology from nuclear industry (Dexter™, Veolia Nuclear Solutions, Abingdon, UK) to provide enriched proprioceptive feedback. Aim was to investigate the potential order of magnitude the ReHab- Toatconcept may have additional to therapy-as-usual on improving arm-hand function (AHF) and arm-hand skill performance (AHSP) in both subacute and chronic stroke patients. This study included five subacute and five chronic hemiparetic stroke patients suffering from moderate to severe arm-hand problems. Over a six-weeks period, participants received 18 sessions of ReHab- Toa T additional to therapy-as-usual. Outcome measures were taken pre- and post-intervention. Clinical relevant overall improvements regarding AHF (mean improvement on the Fugl- Meyer Assessment: 15.3 points (+-9.6 SD, p=0.007)) and AHSP (mean improvement on the Action Research Arm Test: 6.8 points (+- 9.0 SD, p=0.036)), which also exceeded the minimal detectable change (MDC), were found. When differentiating between subacute and chronic stroke patients, analyses showed clinically relevant improvements in AHF in the chronic and subacute stroke groups, while clinical relevant improvements in AHSP were only found in the subacute group. This pilot study provided data for a power analysis for an ensuing randomized clinical trial.
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms

How can we effectively detect fake reviews or fraudulent links on a website? How can we spot communities that suddenly appear based on users’ interactions? And how can we efficiently find the minimum cut in a large graph? All of these are related to the finding of dense subgraphs, a significant primitive problem in graph analysis with extensive applications across various domains. In this paper, we focus on formulating the problem of the densest subgraph detection and theoretically compare and contrast several correlated problems. Moreover, we propose a unified framework, <sc>GenDS</sc>, for the densest subgraph detection, provide some theoretical analysis based on the network flow and spectral graph theory, and devise simple and computationally efficient algorithms, <sc>SpecGDS</sc> and <sc>GepGDS</sc>, to solve it by leveraging the spectral properties and greedy search. We conduct thorough experiments on 40 real-world networks with up to 1.47 billion edges from various domains. We demonstrate that our <sc>SpecGDS</sc> yields up to <inline-formula><tex-math notation="LaTeX">$58.6 \ \times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>58</mml:mn><mml:mo>. </mml:mo><mml:mn>6</mml:mn><mml:mspace width="4pt"/><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="feng-ieq1-3272574.gif"/></alternatives></inline-formula>speedup and achieves better or approximately equal-quality solutions for the densest subgraph detection compared to the baselines. <sc>GepGDS</sc> also reveals some properties of generalized eigenvalue problems for the <sc>GenDS</sc>. Also, our methods scale linearly with the graph size and are proven effective in applications such as finding collaborations that appear suddenly in an extensive, time-evolving co-authorship network.
THE IMPACT OF BRAND TRUST AND PERCEIVED QUALITY ON BRAND LOYALTY IN MEDIATION CUSTOMER SATISFACTION: A CASE STUDY OF KOPI KENANGAN CONSUMERS IN MEDAN CITY

In this study, we examined the influence of brand trust and perceived quality on brand loyalty through customer satisfaction at Kopi Kenangan Sun Plaza in Medan City. The increasing consumption of coffee in Indonesia has led to the development of coffee shop businesses in various cities across the country, including Medan. While this growth presents an opportunity for entrepreneurs to build and promote their brands to attract customers, it also creates intense competition among businesses, especially in major cities like Medan. The aim of this research is to find solutions to address the challenges faced by Kopi Kenangan, including low brand trust, perceived product quality, customer satisfaction, and low repeat purchase intention towards Kopi Kenangan products. The study focuses on enhancing brand trust, improving perceived product quality, and increasing customer satisfaction to build customer loyalty towards Kopi Kenangan. Data were collected from 96 customer samples through a questionnaire using probability sampling and analyzed using a structural equation model. The research findings indicate that brand trust has a significant negative influence on customer satisfaction and brand loyalty, while perceived quality has a significant positive influence on customer satisfaction and brand loyalty. Additionally, customer satisfaction also has a significant positive influence on brand loyalty. Furthermore, brand trust and perceived quality together have a positive and significant influence on brand loyalty. Moreover, brand trust has a significant negative influence on brand loyalty through customer satisfaction, while perceived quality has a significant positive influence on brand loyalty through customer satisfaction.
Morphometric Variability in Lizards of the Genus Teius: A Comparative Study of Species with Different Reproductive Modes

Abstract. The lizard genus Teius is widely distributed in lowland areas to the east of the Andes in southern South America and includes three species: Teius teyou, T. oculatus, and T. suquiensis. All three Teius species are broadly similar in morphological characters, the dorsal coloration pattern being the best feature to distinguish them. Furthermore, T. suquiensis are parthenogenetic, whereas the other two are bisexual. We applied 2D geometric morphometric methods on head morphology to measure and compare variability between these clonally and sexually reproductive lizards and to assess form variability among populations within the parthenogenetic species. We studied 181 adult females of the three species from across a wide range of their distributions. Geometric morphometrics successfully separated them in the morphospace. The three Teius presented similar head size; hence, the differences found are related to shape. Teius teyou has a shorter snout and a narrower posterior area of the head whereas T. oculatus has a longer snout and a wider posterior area of the head, and T. suquiensis shows an intermediate phenotype. Levels of morphological variability among the species were similar and independent of reproductive mode. Differences in head size and shape among populations were observed within T. suquiensis, despite its clonal inheritance. The observed variability might be explained by populations that are composed of different clonal lineages, populations that showed different responses to varying local environmental factors, or both. Additional morphological studies considering genetic diversity and habitat characteristics may clarify the factors that promote morphological variability in the genus, especially in the parthenogenetic species.
Brand Changes Me: An Exploratory Study of Perceived Changes in Consumers’ Self-Concept in the Life Cycle

Abstract This study explored what perceived changes in consumers’ self-concept are influenced by the purchase of brands in different stages of life. The research focuses on both desirable and undesirable changes to consumers’ self-image brought about by the consumption of preferred and nonpreferred brands. The results of interviews conducted among 586 people (51.8 percent women) aged thirteen to eighty-two years showed that consumers perceive nine categories of changes in self-concept, and the proportions in the categories of perceived undesirable changes for self-concept do not differ much from the proportions in the corresponding categories of perceived desirable changes. We investigated differences in perceived changes depending on stage of life. Results revealed that stage of life differentiates consumers in the perception of changes in self-concept, which seem to respond to tasks and developmental needs at a given stage. The most important perceived changes in consumers’ self-concept relate to the image of a competent/incompetent person. Moderated regression analysis showed that women and men at different stages of life differ in perceived changes in self-concept. The results indicate the importance of demographic variables in the perceived symbolic value of a brand to the consumer’s self and can serve to segment the market.
Benthic Heterotrophic Protist Communities of the Southern Baltic Analyzed with the Help of Curated Metabarcoding Studies

Simple Summary Unicellular eukaryotes (organisms with a nucleus), or protists, are an extremely diverse group of organisms and inhabit almost all environments. In the world’s oceans, they make up a large proportion of the overall diversity. Many heterotrophic protists feed on bacteria and, in this way, not only control bacterial abundance but also transport the bacterial-derived carbon to organisms at higher trophic levels in the food web. In recent years, many studies have focused on assessing the diversity of planktonic protists (organisms in the water column), but studies on seafloor dwelling (benthic) protists are much less frequent. So far, there are no extensive studies present that try to access the benthic protist communities in the Baltic Sea, one of Earth’s largest brackish water environments. Within our study, we try to make a first assessment of this diversity using the molecular technique of metabarcoding, which allows the simultaneous identification of many organisms from one sample via the barcoding of nucleic acids, such as DNA and RNA. To obtain an overview of how certain environmental factors such as salinity and water depth of the sediment may influence the community structure, we chose two regions of the southern Baltic. Abstract Heterotrophic protists are key components of marine ecosystems. They act as controllers of bacterial and microphytobenthos production and contribute significantly to the carbon flux to higher trophic levels. Still, metabarcoding studies on benthic protist communities are much less frequent than for planktonic organisms. Especially in the Baltic Sea, representing the largest brackish water environment on earth, so far, no extensive metabarcoding studies have been conducted to assess the diversity of benthic protists in this unique and diverse habitat. This study aims to give first insights into the diversity of benthic protist communities in two different regions of the Baltic Sea, Fehmarnbelt, and Oderbank. Using amplicon sequencing of the 18S rDNA V9 region of over 100 individual sediment samples, we were able to show significant differences in the community composition between the two regions and to give insights into the vertical distribution of protists within the sediment (0–20 cm). The results indicate that the differences in community composition in the different regions might be explained by several abiotic factors such as salinity and water depth, but are also influenced by methodological aspects such as differences between DNA and RNA results.
A characterization theorem for certain unions of two starshaped sets in R2

AbstractLet S be a compact set in R2. For S simply connected, S is a union of two starshaped sets if and only if for every F finite, F $$ \subseteq $$ bdry S, there exist a set G $$ \subseteq $$ bdry S arbitrarily close to F and points s, t depending on G such that each point of G is clearly visible via S from one of s, t. In the case where ∼S has at most finitely many components, the necessity of the condition still holds while the sufficiency fails.