Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Nonsurgical Periodontal Therapy on Clinical Response, Microbiological Profile, and Glycemic Control in Malaysian Subjects with Type 1 Diabetes

The association between diabetes mellitus and chronic periodontal disease has long been established. Most of the researches linking these two very common chronic diseases were based on type 2 diabetes mellitus and chronic periodontal disease. However, this study was conducted to investigate the association between type 1 diabetes and chronic periodontal disease in Malaysian subjects. Forty-one Malaysian subjects, of which 20 subjects were type 1 diabetics and with chronic periodontal disease (test group) and 21 subjects with only chronic periodontal disease (control group), were included in the study. Periodontal parameters and plaque samples for microbiological evaluation were done at baseline, 2 and 3 months after nonsurgical periodontal therapy. Blood samples were taken from only the test group and evaluated for HbA1c at baseline and 3 months after periodontal therapy. There were no statistically significant difference in periodontal parameters between groups (P>0.05) and no significant improvement in the level of HbA1c in the test group. Microbiological studies indicated that there were significant reductions in the levels of the tested pathogens in both groups. The results of our study were similar to the findings of several other studies that had been done previously.
Statin adherence and risk of acute cardiovascular events among women: a cohort study accounting for time-dependent confounding affected by previous adherence

Objectives Previous studies on the effect of statin adherence on cardiovascular events in the primary prevention of cardiovascular disease have adjusted for time-dependent confounding, but potentially introduced bias into their estimates as adherence and confounders were measured simultaneously. We aimed to evaluate the effect when accounting for time-dependent confounding affected by previous adherence as well as time sequence between factors. Design Retrospective cohort study. Setting Finnish healthcare registers. Participants Women aged 45–64 years initiating statin use for primary prevention of cardiovascular disease in 2001–2004 (n=42 807). Outcomes Acute cardiovascular event defined as a composite of acute coronary syndrome and acute ischaemic stroke was our primary outcome. Low-energy fractures were used as a negative control outcome to evaluate the healthy-adherer effect. Results During the 3-year follow-up, 474 women experienced the primary outcome event and 557 suffered a low-energy fracture. The causal HR estimated with marginal structural model for acute cardiovascular events for all the women who remained adherent (proportion of days covered ≥80%) to statin therapy during the previous adherence assessment year was 0.78 (95% CI: 0.65 to 0.94) when compared with everybody remaining non-adherent (proportion of days covered <80%). The result was robust against alternative model specifications. Statin adherers had a potentially reduced risk of experiencing low-energy fractures compared with non-adherers (HR 0.90, 95% CI 0.76 to 1.07). Conclusions Our study, which took into account the time dependence of adherence and confounders, as well as temporal order between these factors, is support for the concept that adherence to statins in women in primary prevention decreases the risk of acute cardiovascular events by about one-fifth in comparison to non-adherence. However, part of the observed effect of statin adherence on acute cardiovascular events may be due to the healthy-adherer effect.
Prescribed correctional treatment dosage: Cautions, commentary, and future directions

Abstract There has always been an interest in correctional treatment, beginning with Martinson’s controversial “nothing works” doctrine to the more recent risk, need, and responsivity principles. Recently this interest has expanded beyond if treatment works, but how much is necessary. Framed as treatment dosage, there is a now “best practice” suggestion that prescribing 100, 200, or 300 h of correctional treatment is necessary to achieve desired outcomes. The present article raises concerns about prescribed treatment dosages and suggests the field runs the risk of falling into a “dosage dogma” (a slavish adherence to a prescribed minimum allotment of treatment) which may have unintended consequences of stifling the development and integration of quality rehabilitation initiatives into correctional practice. It is proposed that a focus on intermediate treatment goals reflected by offender skill acquisition is a promising option for reducing offender recidivism.
Integrating Teaching Models to Enhance Efl Students’ Interpersonal Communication Skill and Creativity

This research aims to investigate the effectiveness of integrating project-based learning and experiential learning models toward students’ interpersonal communication skill and creativity particularly in using English. This research was conducted by applying quantitative research method with factorial design 2X2 ANOVA The subjects were English as a Foreign Language (EFL) students in English Department of Universitas Muslim Nusantara (UMN) Al Washliyah Medan, Indonesia.The instrument was a questionaire with Likert scale and used to measure each formulated indicator. The data were analyzed by using multivariate ANOVA (MANOVA) The finding of the research showed that project-based learning and experiential learning models had a significant effect on students’ interpersonal communication skill and creativit. Moreover, interaction was found between communication skill and creativity of students taught by implementing the models. It indicated that ELT classroom activities will be more creative integrating these teaching models. It allows EFL learners to explore knowledge and information independently and to use English as natural as they can either in speaking or writing.
Nature's style: Naturally trendy

Hydroclimatological time series often exhibit trends. While trend magnitude can be determined with little ambiguity, the corresponding statistical significance, sometimes cited to bolster scientific and political argument, is less certain because significance depends critically on the null hypothesis which in turn reflects subjective notions about what one expects to see. We consider statistical trend tests of hydroclimatological data in the presence of long‐term persistence (LTP). Monte Carlo experiments employing FARIMA models indicate that trend tests which fail to consider LTP greatly overstate the statistical significance of observed trends when LTP is present. A new test is presented that avoids this problem. From a practical standpoint, however, it may be preferable to acknowledge that the concept of statistical significance is meaningless when discussing poorly understood systems.
Bayesian games with unawareness and unawareness perfection

Applying unawareness belief structures introduced in Heifetz et al. (Games Econ Behav 77:100–121, 2013a), we develop Bayesian games with unawareness, define equilibrium, and prove existence. We show how equilibria are extended naturally from lower to higher awareness levels and restricted from higher to lower awareness levels. We apply Bayesian games with unawareness to investigate the robustness of equilibria to uncertainty about opponents’ awareness of actions. We show that a Nash equilibrium of a strategic game is robust to unawareness of actions if and only if it is not weakly dominated. Finally, we discuss the relationship between standard Bayesian games and Bayesian games with unawareness.
Cluster Analysis Model for Selection of High Performing Greyhounds

Conventional economic and finance theory postulates that observed prices in a competitive market will reflect an accurate assessment of expected outcomes. In legal sports wagering the relative value of a risky asset (a wager) can be compared to its relative expected outcome to gain insight into the process of price discovery of the asset. At least 15 studies spanning 30 years and four continents provide evidence that participants in pari-mutuel betting make consistent, exploitable errors in their betting decisions. There are four explanations for this observed market inefficiency, including behavioral anomalies, asymmetric information, measurement error, and noisy signaling inherent in the bidding process. This study tests a betting rule based on the win history of racing greyhounds using data taken from six greyhound race tracks. Applying cluster analysis to racing greyhounds we show that readily available information is not efficiently exploited giving rise to a statistically and economically significant profitable betting rule. Our findings are consistent with behavioral anomalies and do not support the asymmetric information hypothesis and the measurement error explanation suggested in other studies.
Analytical Relevance of Trace Metal Speciation in Environmental and Biophysicochemical Systems

This article presents a review of the analytical relevance of trace metal speciation analysis, which must be considered in environmental and biophysicochemical systems for reliable and efficient assessment and monitoring of trace metals. Examples are given of methodological approaches used for speciation analysis. An overview of speciation analysis in sediments, aquatic ecosystems and agrosystems is also presented.
Association of Macrophage Migration Inhibitory Factor Polymorphisms with Total Plasma IgE Levels in Patients with Atopic Dermatitis in Korea

The macrophage migration inhibitory factor (MIF) gene is located on human chromosome 22q11.2 and is linked to atopic phenotypes. Plasma MIF and log [total IgE] levels are significantly elevated in atopic dermatitis (AD) patients. The aim of this study was to evaluate the relationship between two MIF polymorphisms, −173 G to C and −794 CATT5–8, and total plasma IgE levels in AD patients in Korea. We performed PCR-RFLP analysis in 178 AD patients and 80 control subjects to determine whether MIF SNPs are associated with susceptibility to AD. Plasma total IgE and MIF levels were determined, and then logistic regression analyses were performed to determine the associations between a SNP or haplotype and plasma total IgE or MIF levels. The −173 G/C polymorphism, located in the MIF promoter, was significantly associated with AD; the odds ratios (ORs) for the CC homozygotes and GC heterozygotes were 9.3 and 2.5, respectively. The MIF C/5-CATT and the MIF C/7-CATT haplotypes were significantly associated with AD; the ORs for the MIF C/5-CATT and MIF C/7-CATT haplotypes were 9.7 and 4.5, respectively. Log [total IgE] levels were highly associated with the MIF −794 7-CATT polymorphism. Notably, the MIF C/7-CATT haplotype was associated with a decrease in plasma log [total IgE] levels in a gene dose-dependent manner. Although log [MIF] levels were not associated with the MIF polymorphisms, the frequencies of the MIF C/5-CATT haplotype-containing genotypes decreased in order of MIF levels. Our results demonstrate that MIF promoter polymorphisms in the −173 C allele and the MIF C/5-CATT and C/7-CATT haplotypes were significantly associated with an increased risk for AD. In particular, the −794 7-CATT locus and the MIF C/7-CATT haplotype were significantly associated with decreased total IgE levels in the plasma, suggesting that these polymorphisms might be a marker for intrinsic AD rather than extrinsic AD that shows high total IgE levels and presence of allergen-specific IgE.
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks

In this paper, we introduce a new image representation based on a multilayer kernel machine. Unlike traditional kernel methods where data representation is decoupled from the prediction task, we learn how to shape the kernel with supervision. We proceed by first proposing improvements of the recently-introduced convolutional kernel networks (CKNs) in the context of unsupervised learning; then, we derive backpropagation rules to take advantage of labeled training data. The resulting model is a new type of convolutional neural network, where optimizing the filters at each layer is equivalent to learning a linear subspace in a reproducing kernel Hilbert space (RKHS). We show that our method achieves reasonably competitive performance for image classification on some standard "deep learning" datasets such as CIFAR-10 and SVHN, and also for image super-resolution, demonstrating the applicability of our approach to a large variety of image-related tasks.
İlköğretim Öğretmen Adaylarının Öğrenme Stillerinin İncelenmesi

Bu arastirmanin amaci, farkli ogrenme stillerine sahip ogretmen adaylarinin genel ogrenme stillerini belirlemektir. Verilerin analizinde frekans ve cift yonlu varyans analizi (ANOVA) kullanilmistir. Arastirma kapsamindaki ogretmen adayla-rinin % 66,8’i (n=231) Ayristiran ogrenme stili, %22,8’inin (n=79) Ozumseyen og-renme stili, %5,5’i (n=19) Degistiren ogrenme stili, %4,9’u ise (n=17) Yerlestiren ogrenme stili'ne sahip oldugu belirlenmistir. Ogrenme stilleri ile egitim arasinda an-lamli bir fark bulunmustur.
APLIKASI HEALTH BELIEF MODEL DALAM MENGANALISIS PERILAKU PENGGUNAAN KACAMATA PELINDUNG

The number of work accidents in Indonesia is still the highest in Southeast Asia. Accidents can be caused by several factors such as environmental, mechanical or human behavior. Work accident data at PT Lintech Duta Pratama Surabaya shows that accidents are still a lot of in this company. The dominant cause of work accidents in PT Lintech Duta Pratama Surabaya is the behavior of workers who do not use personal protective equipment is safety glasses. Therefore, this study aims to determine the factors that affect the behavior of workers and use safety glasses according to the concept of HBM in order to reduce the high number of work accidents caused by unsafe behavior.This research is a Cross Sectional study where the research is done in a certain time. The sample of this study is the total of the working population in the production section of 74 people. Data analysis this research is binary logistic regression test.The results showed that there was an influence between education(ρ = 0.015), knowledge (ρ = 0.047), self efficacy (ρ = 0.027), cues to action (ρ = 0,000) with behavior in the use of safety glasses but. No correlation between ages (ρ = 0.065 ), perceived susceptibility (ρ = 0.712), perceived seriousness (ρ = 0.208), perceived benefit (ρ = 0.063), perceived barrier (ρ = 0.565) with behavior in the use of safety glasses. The conclusions of this study are between knowledge education, self efficacy, cues to action to be associated with behavior in the use of safety glasses. Keywords : behavior, health belief model, work accident, PPE
RAN Nucleo-Cytoplasmic Transport and Mitotic Spindle Assembly Partners XPO7 and TPX2 Are New Prognostic Biomarkers in Serous Epithelial Ovarian Cancer

Purpose Epithelial ovarian cancer has the highest mortality rate of all gynecological malignancies. We have shown that high RAN expression strongly correlates with high-grade and poor patient survival in epithelial ovarian cancer. However, as RAN is a small GTPase involved in two main biological functions, nucleo-cytoplasmic transport and mitosis, it is still unknown which of these functions associate with poor prognosis. Methods To examine the biomarker value of RAN network components in serous epithelial ovarian cancer, protein expression of six specific RAN partners was analyzed by immunohistochemistry using a tissue microarray representing 143 patients associated with clinical parameters. The RAN GDP/GTP cycle was evaluated by the expression of RANBP1 and RCC1, the mitotic function by TPX2 and IMPβ, and the nucleo-cytoplasmic trafficking function by XPO7, XPOT and IMPβ. Results Based on Kaplan-Meier analyses, RAN, cytoplasmic XPO7 and TPX2 were significantly associated with poor overall patient survival, and RAN and TPX2 were associated with lower disease free survival in patients with high-grade serous carcinoma. Cox regression analysis revealed that RAN and TPX2 expression were independent prognostic factors for both overall and disease free survival, and that cytoplasmic XPO7 expression was a prognostic factor for overall patient survival. Conclusions In this systematic study, we show that RAN and two protein partners involved in its nucleo-cytoplasmic and mitotic functions (XPO7 and TPX2, respectively) can be used as biomarkers to stratify patients based on prognosis. In particular, we reported for the first time the clinical relevance of the exportin XPO7 and showed that TPX2 expression had the strongest prognostic value. These findings suggest that protein partners in each of RAN’s functions can discriminate between different outcomes in high-grade serous epithelial ovarian cancer patients. Furthermore, these proteins point to cellular processes that may ultimately be targeted to improve the survival in serous epithelial ovarian cancer.
Title IX Online: Accessing Gender-Based Violence Resource Information on Elite College and University Websites

The Department of Education’s Title IX Resource Guide recommends that institutions provide a webpage with information about Title IX reporting options, yet much of the information on these sites can leave students confused about where to turn for help. This article describes a content analysis of gender-based violence resource information on 75 elite college and university websites. It outlines common themes and provides administrators with suggestions for more effective ways to communicate this content to student populations.
Symbol/Meaning Paired-Associate Recall: An “Archetypal Memory” Advantage?

The theory of the archetypes and the hypothesis of the collective unconscious are two of the central characteristics of analytical psychology. These provoke, however, varying reactions among academic psychologists. Empirical studies which test these hypotheses are rare. Rosen, Smith, Huston and Gonzales proposed a cognitive psychological experimental paradigm to investigate the nature of archetypes and the collective unconscious as archetypal (evolutionary) memory. In this article we report the results of a cross-cultural replication of Rosen et al. conducted in the German-speaking part of Switzerland. In short, this experiment corroborated previous findings by Rosen et al., based on English speakers, and demonstrated a recall advantage for archetypal symbol meaning pairs vs. other symbol/meaning pairings. The fact that the same pattern of results was observed across two different cultures and languages makes it less likely that they are attributable to a specific cultural or linguistic context.
Analysis of Using Multimodal Feedback in Writing Instruction from EFL Learners’ Perspective

The present study aims to investigate EFL learners’ perceptions of multimodal feedback on writing and their use of screencast feedback in revision. Six English majors participated in the case study for 8 weeks. In analyzing diaries and the follow-up interview, it was found that participants reported a positive attitude towards the use of screencast feedback on writing. The audio-visual feedback was viewed as beneficial in motivating and engaging students in writing. The multimodal comments were effective to meet students’ diverse needs and build up the relationship between teacher and students. It was also reported by the participants the potential value of using screencast feedback to encourage students to take active actions in revision.
Adaptive Transition Rates in Excitable Membranes

Adaptation of activity in excitable membranes occurs over a wide range of timescales. Standard computational approaches handle this wide temporal range in terms of multiple states and related reaction rates emanating from the complexity of ionic channels. The study described here takes a different (perhaps complementary) approach, by interpreting ion channel kinetics in terms of population dynamics. I show that adaptation in excitable membranes is reducible to a simple Logistic-like equation in which the essential non-linearity is replaced by a feedback loop between the history of activation and an adaptive transition rate that is sensitive to a single dimension of the space of inactive states. This physiologically measurable dimension contributes to the stability of the system and serves as a powerful modulator of input–output relations that depends on the patterns of prior activity; an intrinsic scale free mechanism for cellular adaptation that emerges from the microscopic biophysical properties of ion channels of excitable membranes.
Reassessing JML’s Logical Foundation

Early in the design of the Java Modeling Language (JML) care was taken in the choice of its logical foundation to ensure that JML could accommodate run-time assertion checking, static analysis and formal verification. At the time, classical two-valued logic was adopted. Since then however, we note that the main JML tools have actually implemented differing semantics, by design. In this paper, we begin by reviewing the current logical semantics of JML and explore some of the ramifications of this choice. We then present the results of a survey of programmers from industry, i.e. JML's targeted end users. We asked them how they want assertions to be interpreted during run-time checking and static verification. Survey results indicate that developers are in favor of a semantics for assertions that is compatible with their current use in runtime checking, and hence consistent with a three-valued logic in which partial functions are modeled explicitly.
Allan Macpherson Liverpool Hope University College Oswald Jones Centre for Enterprise MMUBS

The Business school of the Manchester Metropolitan University is one of the largest business schools in the UK comprising more than 150 academic staff organised into eleven thematic research groups. The Working paper series brings together research in progress from across the Business School for publication to a wider audience and to facilitate discussion. Working Papers are subject to peer review process. The Graduate Business school of the Manchester Metropolitan University publishes management and business working papers. The graduate school is the centre for postgraduate research in all of the major areas of management and business. Abstract This paper examines the process of learning, both technological and organizational, which has taken place in this small-sized firm located in a relatively remote area of northwest England. With relations to supply chain management and innovation network theory, it is argued that it is the relational elements of inter-firm transactions and interactions that provide o rganisations with opportunities to expand their capability. The importance of supply chain management, therefore, is that it provides a process in which closer relations are both desirable and can potentially create opportunities to grow organisational capability. The paper is focused on the following aspects of learning: the first is the evolutionary nature of the accumulation of technological capability; the second is the firm-specific absorptive capability developed through its close relationship with BNFL and other firms within the supply chain. The case study organisation is instrumental in building a network of suppliers and customers, which has enhanced the learning opportunities and capabilities of both. In doing so, it has created virtual clusters of innovation through the supply network that reach well beyond the traditional regional institutional support mechanisms.
The Information Technology Aided Relapse Prevention Programme in Schizophrenia: an extension of a mirror-design follow-up

Aims: Decreasing a number of hospital admissions is important for improving outcomes for people with schizophrenia. The Information Technology Aided Relapse Prevention Programme in Schizophrenia (ITAREPS) programme enables early pharmacological intervention in psychosis by identification of prodromal symptoms of relapse using home telemonitoring via a phone‐to‐PC SMS platform.