Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Reduction Intervention for Un-Healthy Life-Style Behavior among Adult Women with Type 2 Diabetes Mellitus

Background: Diabetes Mellitus (DM) has emerged as an epidemic problem in Egypt. The global increase in the prevalence of Diabetes Mellitus is attributed to many risk factors, as inactive lifestyles. Many risk factors have been identified as modifiable or non modifiable risk factors. Risk Reduction Intervention is a cornerstone for prevention and controls many of chronic diseases. Aim, the present study was to examine the effect of risk reduction intervention on reducing selected Un-Healthy Life-Style of modifiable risk factors "Diet and Exercise" among adult Women with Type 2 Diabetes Mellitus. Methods: Design: A quasi experimental design was used. Sample: A convenience Sample of 104 adult women who diagnosed as type "2" diabetes was selected. Setting: this study was conducted in the out-patient clinics of Teaching Hospital in Shebin El-Kom City. Tools for data collection: A) Interviewing questionnaire to collect socio-demographic characteristics, B), 24 hours dietary recall questionnaire, C) Exercise questionnaire and C) Bio-physiological Measurements: to measure BMI & blood chemistry. Results: Regarding total calories per day, a dramatic decrease was observed in the Mean ± SD in post than pre intervention (1503. 1 ± 412.9to "2030.9 ±892.4 respectively). Also total Cholesterol, a decrease was observed in the Mean ± SD in post than pre intervention "189.28±32.9" to 203.97±47.3 respectively). Also redacting random blood sugar was observed in post than pre intervention (157.5±37.9 than 227.8±128.9 to respectively). Conclusions: Implementation of risk reduction interventions was more effective and can favorably decrease some of modifiable risk factors among adult diabetic women. Recommendation: Encourage nurses to provide health education about risk reduction interventions to enhance adoption of healthy lifestyle behavior.
Spacings around and order statistic.

We determine the joint limiting distribution of adjacent spacings around a central, intermediate, or an extreme order statistic X k : n of a random sample of size n from a continuous distribution F . For central and intermediate cases, normalized spacings in the left and right neighborhoods are asymptoti- cally i.i. d. exponential random variables. The associated independent Poisson arrival processes are independent of X k : n . For an extreme X k : n , the asymp- totic independence property of spacings fails for F in the domain of attraction of Fr´echet and Weibull ( α (cid:54) = 1) distributions. This work also provides ad- ditional insight into the limiting distribution for the number of observations around X k : n for all three cases.
Antimycotic-Antibiotic Amphotericin B Promotes Inﬂuenza Virus Replication in Cell Culture (cid:1)

In general, antibiotics are not rated as substances that inhibit or support inﬂuenza virus replication. We describe here the enhancing effect of the polyene antibiotic amphotericin B (AmB) on inﬂuenza virus growth in Vero cells. We show that isolation rates of inﬂuenza A and B viruses from clinical samples can be dramatically enhanced by adding AmB to the culture medium. We demonstrate that AmB promotes the viral uptake and endocytic processing of the virus particles. This effect is speciﬁc for Vero and human nasal epithelial cells and was not observed in Madin-Darby canine kidney cells. The effect of AmB was subtype speciﬁc and more prominent for human seasonal inﬂuenza strains but absent for H5N1 human viruses. The AmB-enhancing effect seemed to be solely due to the viral hemagglutinin function. Our results indicate that the use of AmB may facilitate inﬂuenza virus isolation and production in Vero cells.
Evaluation of Treatment Responses with Pre- and Post-Treatment Density Measurement Values of Breast Cancer in Thorax CT

Objectives: We aimed to investigate the contribution of mass CT density values to the diagnosis in the evaluation of the response of the local disease to the treatment during the treatment of breast cancer. Methods: 40 female patients histopathologically proven to have breast cancer, had routine Thorax CT at diagnosis and the treatment stage, and whose metabolic activity was known by PET CT were included.The mean mass densities were measured from malignant breast lesions at the time of diagnosis and after treatment through the Thorax CT examinations. Results: In our study, we found the mean mass density measurement values of breast cancer before treatment as 38.21 HU, and the average density measurement values after treatment as 20.54 HU. We showed that malignant mass densities were significantly reduced in the non-metabolic period after treatment. We found that thorax CT density values can be a guide in evaluating the response of malignant breast lesions to local treatment. Conclusion: In conclusion, adding a quantitative CT attenuation value to breast lesions examinations increases the diagnostic accuracy of malignant lesions. We have shown that malignant lesions show significantly higher attenuation on Thorax CT and attenuation values decrease in response to treatment. Abstract Cite Article: Ozturk T. Evaluation of Treatment Responses with Pre- and Post-Treatment Density Measurement Values of Breast Cancer in Thorax CT. EJMI 2022;6(3):312–317.
Feed Deprivation effects on Bactericidal an Immunological activity of Blood and skin mucus, and on blood Chemistry of Gilthead Seabream ( Sparus aurata )

Aquaculture needs to optimize production and nutrition of fish. The effects caused by 1, 2, 4 and 20 days of starvation on humoral immunity and bactericidal activity, against Vibrio anguillarum , in blood and skin mucus of gilthead seabream ( Sparus aurata ) were determined. In addition, several blood biochemical parameters were also analysed in order to test the general health status of the fish and also in an attempt to correlate the physiological changes due to starvation with the changes observed in the immune parameters. Significant decreases in IgM level and protease activity (P-value < 0.05), as well as significant increases in peroxidase and bactericidal activity were obtained in the mucus of the fish after short periods of starvation (from 1 to 4 days), compared to the fed fish. However, it was impossible to determine similar conditions in fish subjected to 20 days of starvation, since all the parameters studied in this group showed very similar values to those obtained for control fish (fed). This could be due to the necessity for fish to recover their homeostasis in order to survive, even when maintained under starvation conditions. The possible relationships between the nutritional state and humoral immunity in fish is discussed.
D ISTURBANCE OBSERVER DESIGN FOR NONLINEAR SYSTEMS REPRESENTED BY INPUT - OUTPUT MODELS

—A new approach to the design of nonlinear disturbance observers for a class of nonlinear systems described by input-output differential equations is presented in this paper. In con- trast with established forms of nonlinear disturbance observers, the most important feature of this new type of disturbance observer is that only measurement of the output variable is required, rather than the state variables. An inverse simulation model is ﬁrst constructed based on knowledge of the structure and parameters of a conventional model of the system. The disturbance can then be estimated by comparing the output of the inverse model and the input of the original nonlinear system. Mathematical analysis demonstrates the convergence of this new form of nonlinear disturbance observer. The approach has been applied to disturbance estimation for a linear system and a new form of linear disturbance observer has been developed. The differences between the proposed linear disturbance observer and the conventional form of frequency-domain disturbance observer are discussed through a numerical example. Finally, the nonlinear disturbance observer design method is illustrated through an application involving a simulation of a jacketed continuous stirred tank reactor system.
Gln-Glucosinolate Seed-Specific Interaction and its 6 Role in Metabolic Homeostasis 7 8

Article title: mGWAS Uncovers Gln-Glucosinolate Seed-Specific Interaction and its 6 Role in Metabolic Homeostasis 7 8 Marianne L. Slaten 9 mleww8@mail.missouri.edu 10 11 Abou Yobi 12 yobia@missouri.edu 13 14 Clement Bagaza 15 cb36f@mail.umsl. edu 16 17 Yen On Chan 18 chanye@mail.missouri.edu 19 20 Vivek Shrestha 21 vs6d9@mail.missouri.edu 22 23 Samuel Holden 1 24 slhdmb@mail.missouri.edu 25 26 Ella Katz 27 elkatz@ucdavis.edu 28 29 Christa Kanstrup 30 cka@plen.ku. dk 31 32 Alexander E. Lipka 33 alipka@illinois.edu 34 35 Daniel J. Kliebenstein 36 kliebenstein@ucdavis.edu 37 38 Hussam Hassan Nour-Eldin 39 huha@plen.ku. dk 40 41 Ruthie Angelovici 42 angelovicir@missouri.edu 43 44
To the Sensitivity Estimation of TES Bolometers for SubMNI Radiation Detection Operating at Super Low Temperatures

Mentioned above calculations are made under set of assumptions [1} one of which is that absorber electrode contacts provide Andreev reflection [4] blocking hot electron power flow-out from the absorber-sensor to the bias circuit. What will happen when contacts will be not Andreev ones but ordinary? To answer this question one may take as a basis the expression for thermal capacity of electrons in metals [5] Nk2T C J/K, — • 2 E (0) Abstract — The electron energy balance equation was modified to take into account the effect of transfer of hot electron power from TES bolometer absorber combined with the sensor to the biasing circuit with the electron current. Estimation calculations have shown that the power flow connected with said transfer is negligibly small in comparison with the hot electron power transfer to the thin metal film structure and substrate through electron-phonon interactions for studied earlier molybdenum-copper bi-layer thin film structures in 0.08 — 0.4 K temperature range [1]. The obtained equation was used to estimate a ratio of current decrement to incident radiation power (current sensitivity) of the TES bolometers as well There were no significant reducing changes in the TES bolometers current sensitivity found at fixed bias voltage across the absorber for the studied structures except the case at temperatures 0.3 K and less and, especially, at absorber lengths 1 itt and less when the current sensitivity gain of order of several tens have been calculated. Keywords—Astronomy, millimeterand submillimeter-wave detectors, superconducting devices, transition edge sensor (TES) bolometers. (2)
No Emotional Stroop Effect from Masked and Unmasked Stimuli in Non-Clinical Young Adults Tested Online

Emotional Stroop effects (“murder” slows color identification) produced by briefly presented, pattern-masked word stimuli have not replicated well. A masked emotional Stroop effect study was conducted with an improved, more informative experimental design. In Experiment 1, neutral or emotional words were presented in color (red, yellow, green, or blue) for a short (21 ms), medium (38 ms), or long (103 ms) duration. The prime words in Experiment 1 were backward-masked to decrease visibility, whereas Experiment 2 had unmasked words that were easily visible. Neither experiment produced the anticipated emotional Stroop effect. The emotional Stroop effect may be an example of fragile data: a psychological phenomenon that depends upon very narrow experimental parameters.
2 CHANGES IN MEMORY AND METACOGNITION IN OLDER ADULTHOOD

We use our memory in a variety of settings. As people age, older adults often have difficulty remembering and retrieving names, and rely on habits, prior knowledge, strategies, and emotional processes, and these age-related changes can influence individual behavior. While there are some aspects of memory that may decline with age, older adults can utilize contextual factors (Hess, 2005) and goals-based strategies to selectively remember important information (Castel et al., 2012). In this chapter, we review how different forms of memory are influenced by the aging process, and how one’s perspective and awareness of memory abilities (metamemory) can play a role in how older adults remember information. It is well established that our ability to perform various cognitive processes may decline with advancing age (for review see Craik and Salthouse, 2008). Empirical research has shown a steady decline in working memory capacity, executive functioning, processing speed, and explicit memory ability across the adult lifespan (McCabe, Roediger, McDaniel, Balota, and Hambrick, 2010). However, some processes (such as vocabulary knowledge) appear to be impervious to, or even improve with, the aging process. Many theories have been suggested in order to explain why these selective cognitive deficits occur including a general decline in processing speed (general slowing theory), a reduction in the amount of cognitive resources available (reduced resources theory), the inability to inhibit irrelevant information (inhibition deficit theory), and the accelerated deterioration of prefrontal brain regions (prefrontal theory). In all likelihood, the confluence of these different factors contributes to age-related decline in cognitive ability. In general, aging is accompanied by marked declines in episodic memory (Hultsch, Hertzog, Small, McDonald-Miszczak, and Dixon, 1992; Zacks, Hasher, 2
RESPONSE OF AUSTRALIAN SWEET ORANGE VARIETIES ON CITRUS ROOTSTOCKS UNDER AGRO-CLIMATIC CONDITIONS OF PESHAWAR, PAKISTAN

The response of Australian sweet orange varieties budded on different rootstocks under the agro- climatic condition of Peshawar was evaluated at Agricultural Research Institute Tarnab, Peshawar during the year 2013. Six different sweet oranges of scion varieties (Arnold Blood, Ryan, Harvard, Cara Cara Navel, McMahan Valencia and Salustiana) were budded on four different citrus rootstocks (Cox Mandarin, Carrizo Citrange, Troyer Citrange and Sour orange) in Randomized Complete Block Design with two factors, replicated three times. The analysis of data showed a significant variation for growth response of sweet orange varieties budded on four citrus rootstocks. The Cara Cara Navel variety gave maximum bud sprouting (84.17%), buddling thickness (6.28 mm), buddling length (41.18 cm), number of leaves buddling -1 (68.54), leaf area (33.83 cm 2 ) and number of branches (5.50) and took less days to sprouting (35.43). The Ryan variety gave plants with maximum root length (38.17 cm) and root volumes (28.75 cm 3 ). Different citrus rootstocks used significantly affected the sweet orange varieties. The maximum bud sprouting (63.33%), buddling thickness (7.43 mm), buddling length (48.83 cm), number of leaves buddling -1 (67.94), leaf area (29.12 cm 2 ), number of branches (4.89) and graft growth was recorded in both the sweet oranges when budded on 25 th September at the north side by using red, green and blue wrapping tape. Muhammad et al . (2012) carried out a research on the effect of budding height, the age of bud wood and the stock lopping at different dates on citrus trees. Rough lemon rootstock was T-budded with sweet orange var. Pinecone as scion bud wood. The results concluded that the age of the wood buds and graft height had a negligible effect on bud take success of citrus. study the response of Australian sweet orange varieties on different rootstocks under Rootstocks tubes filled similar of and Six Australian imported sweet orange varieties were budded through T-budding on one year seedlings of four different rootstocks. The experiment was out in Randomized Complete Block Design with the following two factors arrangement having three replications.
17 (cid:1) -Estradiol Supplementation Decreases Glucose Rate of Appearance and Disappearance with No Effect on Glycogen Utilization during Moderate Intensity Exercise in Men by increasing and

Context and Objective: Women use less carbohydrate during en- durance exercise, as compared with men. In rodents, 17 (cid:1) -estradiol (E2) supplementation robustly increases lipid use and lowers muscle and liver glycogen use during exercise. E2 supplementation has been found to influence substrate selection by decreasing glucose rate of appearance (Ra), disappearance (Rd), and metabolic clearance rate during exercise in humans; however, neither a change in total car- bohydrate use nor a sparing of muscle glycogen was demonstrated. Subjects and Methods: We investigated the effect of 8 d of E2 (2 mg/d) supplementation on glucose turnover and net muscle glycogen use in 11 men using a randomized, double-blind, placebo-controlled, crossover design. Subjects underwent primed constant infusion of [6,6- 2 H]glucose, and muscle biopsies were taken before and after 90 min of cycling at 65% maximal oxygen uptake. Results: E2 supplementation decreased the respiratory exchange ratio( P (cid:1) 0.03)andglucoseRaandRd(both P (cid:1) 0.04)duringexercise, as compared with placebo. E2 supplementation lowered proglycogen ( P (cid:2) 0.05) and total glycogen ( P (cid:1) 0.04) concentration, as compared with placebo; however, there was no effect of E2 on net muscle gly- cogen use during exercise. Conclusions: These findings show that E2 supplementation alters fuel selection in Our the previous that E2 supplementation caused a decrease in Ra and Rd The consistency of this finding reaffirms that E2 acts to promote whole-body CHO sparing during exercise by prefer-entially attenuating hepatic glucose production (Ra) and glucose uptake (Rd). Animal studies support a net sparing of hepatic glycogen use during exercise in response to E2 supplementation (12, 15, 16). From the current data, we cannot differentiate between an effect of E2 on reducing hepatic gluconeogenesis and/or glycogenolysis; however, a previous study showed that women had a lower glucose recycling rate than men (2), suggesting a lesser flux of CHO precursors through gluconeogenesis. The main precursors for gluconeogenesis are lactate, glycerol, and alanine. No effect of E2 supplementation has been found on glycerol concentration (21–23), and the current study and others (21–23) found no effect of E2 supplementation on plasma lactate concentration, suggesting that E2 does not decrease gluconeogenesis.
Vocational High School Teachers’ Efforts in Equipping Graduates with Soft Skills Based on Work Demands

A preliminary study in Yogyakarta showed that the graduates’ enthusiasm to enter building construction study program in vocational high school was low. One of the factors affecting the graduates’ enthusiasm was related to the low-level teachers’ efforts in preparing the graduates’ soft skills. This study aimed to identify (1) the integration level of soft skills elements, and (2) the teachers' obstacles to equipping the graduates' soft skills. It was descriptive quantitative research conducted in the study program of building construction at vocational high schools. The results of the study showed: (1) the integration level of communicative ability, integration level of cooperative competence, integration level of motivating ability, integration level of developing etiquette and moral, and integration level of building responsibility were wholly integrated. Then, the integration level of problem-solving ability and integration level of science and technology mastery was mostly integrated; (2) the obstacles included: the students’ ignorance attitude, the lack of collaboration between the students’ parents and the school stakeholders in developing the graduates’ soft skills, the absence of soft skills training and the unsupported school culture. Those obstacles impeded the graduates’ soft skills.
other: and urban in

This is the peer reviewed version of the following article: Tense and the other: Higgins, K.W. , Temporality and urban multiculture in Auckland, Aotearoa New Zealand, Transactions of the Institute of British Geographers (2018), which has been published in final form at https://doi.org/10.1111/tran.12257. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Model-based reasoning of device behavior with causal ordering

Much of sciences and engineering is concerned with characterizations of processes by equations that describe the relations that hold among parameters of objects and that govern their behavior over time. Formal treatment of the foundations of sciences have avoided notations of causation and spoke only of functional relations among variables. Nevertheless, the notion of causality plays an important role in our understanding of phenomena. This thesis describes a computational approach, based on the theory of causal ordering, for inferring causality from an acausal, formal description of a phenomena. Causal ordering, first proposed by Simon, is an asymmetric relation among the variables in a self-contained equilibrium or dynamic model, which reflects people's intuitive notion of causal dependency relations among variables. The thesis extends the theory to cover models consisting of a mixture of dynamic and equilibrium equations. When people's intuitive causal understanding of a situation is based on a mixed description, the causal ordering produced by the extension reflects this intuitive understanding better than that of an equilibrium description. The thesis explores the use of the theory of causal ordering and its extension in reasoning about the behavior of physical systems. As the number of variables involved in the system under study gets larger and the system becomes more complex, abstraction becomes essential in reasoning about its behavior. Aggregation of a nearly decomposable dynamic systems is an abstraction technique proposed by Ando and Simon. The technique provides a formal justification for commonsense abstraction whose application is easily observable in everyday life. The thesis generalizes the method of aggregation and also shows a close connection between aggregation and causal ordering. For correct application of the method of causal ordering, the equations comprising the model of the device must be such that each of them stands for a conceptually distinct mechanism. The thesis also discusses the issue of building a model that meets this requirement and presents our solution of automatically generating equations from an explicit, network representation of processes taking place in the device.
Deep Learning of Cross-Modal Tasks for Conceptual Design of Engineered Products: A Review

Conceptual design is the foundational stage of a design process, translating ill-defined design problems to low-fidelity design concepts and prototypes. While deep learning approaches are widely applied in later design stages for design automation, we see fewer attempts in conceptual design for three reasons: 1) the data in this stage exhibit multiple modalities: natural language, sketches, and 3D shapes, and these modalities are challenging to represent in deep learning methods; 2) it requires knowledge from a larger source of inspiration instead of focusing on a single design task; and 3) it requires translating designers’ intent and feedback, and hence needs more interaction with designers and/or users. With recent advances in deep learning of cross-modal tasks (DLCMT) and the availability of large cross-modal datasets, we see opportunities to apply these learning methods to the conceptual design of product shapes. In this paper, we review 30 recent journal articles and conference papers across computer graphics, computer vision, and engineering design fields that involve DLCMT of three modalities: natural language, sketches, and 3D shapes. Based on the review, we identify the challenges and opportunities of utilizing DLCMT in 3D shape concepts generation, from which we propose a list of research questions pointing to future research directions.