Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Validation of the Predictive Model for the Differentiation between Vestibular Migraine and Meniere’s Disease

(1) Background: Vestibular migraine (VM) and Meniere’s disease (MD) share multiple features in terms of clinical presentations and auditory-vestibular dysfunctions, e.g., vertigo, hearing loss, and headache. Therefore, differentiation between VM and MD is of great significance. (2) Methods: We retrospectively analyzed the medical records of 110 patients with VM and 110 patients with MD. We at first established a regression equation by using logistic regression analysis. Furthermore, sensitivity, specificity, accuracy, positive predicted value (PV), and negative PV of screened parameters were assessed and intuitively displayed by receiver operating characteristic curve (ROC curve). Then, two visualization tools, i.e., nomograph and applet, were established for convenience of clinicians. Furthermore, other patients with VM or MD were recruited to validate the power of the equation by ROC curve and the Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva (GiViTI) calibration belt. (3) Results: The clinical manifestations and auditory-vestibular functions could help differentiate VM from MD, including attack frequency (X5), phonophobia (X13), electrocochleogram (ECochG) (X18), head-shaking test (HST) (X23), ocular vestibular evoked myogenic potential (o-VEMP) (X27), and horizontal gain of vestibular autorotation test (VAT) (X30). On the basis of statistically significant parameters screened by Chi-square test and multivariable double logistic regression analysis, we established a regression equation: P = 1/[1 + e−(−2.269 × X5 − 2.395 × X13 + 2.141 × X18 + 3.949 × X23 + 2.798 × X27 − 4.275 × X30(1) − 5.811 × X30(2) + 0.873)] (P, predictive value; e, natural logarithm). Nomographs and applets were used to visualize our result. After validation, the prediction model showed good discriminative power and calibrating power. (4) Conclusions: Our study suggested that a diagnostic algorithm based on available clinical features and an auditory-vestibular function regression equation is clinically effective and feasible as a differentiating tool and could improve the differential diagnosis between VM and MD.
The Impact of Dynamic Capabilities on the Performance of Thai Small and Medium Enterprises

Traditional research and literature reveal that organizations may acquire a competitive advantage and improve performance by enhancing their capabilities. However, none of them strongly emphasizes dynamic capabilities, and small and medium-sized firms (SMEs), particularly in South East Asia, have not been thoroughly examined in this area. Consequently, this study will investigate the impact of dynamic capabilities (innovative capability, absorptive capability, and adaptable capability) on the performance of small and medium-sized enterprises (SMEs). The responses of 322 SMEs in Thailand were analyzed quantitatively using multiple regressions. The findings indicated that all of them significantly impact the performance of SMEs. Nevertheless, SMEs should prioritize innovative capability by investing and paying more attention to innovation and creativity, followed by firms' adaptation and absorption capabilities.
Analysis of MPLS Technology in the Case of Virtual Networks

Multi-Protocol Label Switching is an example of a successful project in information technology reform. We can say that its goals, to streamline Internet traffic and facilitate traffic engineering, have been achieved - as evidenced by its use on an increasingly large scale. The type of data transferred over the Internet has varied from data traffic to real-time traffic, or even private traffic. Thus, the consequences of breaking a connection or breaking a router have become much more important. However, public IP infrastructure offers a low degree of error recovery compared to traditional telecommunications networks. Multi-Protocol Label Switching provides mechanisms for fast error recovery as well as security link management. This paper provides a testing and research basis for high-speed Multi-Protocol Label Switching networks because of which improved error recovery mechanisms can be developed using openSimMPLS software.
Performance Prediction of Erosive Wear of Steel for Two-Phase Flow in an Inverse U-Bend

Erosion of the elbow due to non-Newtonian viscous slurry flows is often observed in hydrocarbon transportation pipelines. This paper intends to study the erosion behavior of double offset U-bends and 180° U-bends for two-phase (liquid-sand) flow. A numerical simulation was conducted using the Discrete Phase Model (DPM) on carbon steel pipe bends with a 40 mm diameter and an R/D ratio of 1.5. The validity of the erosion model has been established by comparing it with the results quantified in the literature by experiment. While the maximum erosive wear rates of all evaluated cases were found to be quite different, the maximum erosion locations have been identified between 150° and 180° downstream at the outer curvature. It was seen that with the increase in disperse phase diameter, the erosive wear rate and impact area increased. Moreover, with the change of configuration from a 180° U-bend to a double offset U-bend, the influence of turbulence on the transit of the disperse phase decreases as the flow approaches downstream and results in less erosive wear in a double offset U-bend. Furthermore, the simulation results manifest that the erosive wear increases with an increase in flow velocity, and the erosion rate of the double offset U-bend was nearly 8.58 times less than the 180° U-bend for a carrier fluid velocity of 2 m/s and 1.82 times less for 4 m/s carrier fluid velocity. The erosion rate of the double offset U-bend was reduced by 120% compared to the 180° U-bend for 6 m/s in liquid-solid flow.
Relationship of Body Image Concerns with some Gynecological Diseases and Chronic Fatigue Syndrome: A Review

The present paper was intended to examine the relationship among gynaecological diseases (Polycystic Ovarian Syndrome (PCOS), Endometriosis), Chronic Fatigue Syndrome, and Fibromyalgia with body dissatisfaction. A review of papers published between 2003 and 2021 as found by Google Scholar, PubMed, academia, and publish or perish.The review included studies conducted on women’s samples of reproductive age group at various developmental stages.Results indicated a relationship between body dissatisfaction and chronic fatigue syndrome. Women with PCOS reported greater body dissatisfaction, higher body uneasiness, and body image distress. Endometriosis is related to body image. Endometriosis and PCOS are also found to be related to chronic fatigue syndrome. Findings indicated the psychosomatic origins of these physical conditions as the source or antecedent factors for biologically vulnerable subjects and were explained in this framework. This body of knowledge will add to the area. Different psychological counsellors and therapeutic practitioners will utilise this knowledge to deal with such problems during sessions in clinical and hospital settings.
Salivary Biomarkers Associated with Psychological Alterations in Patients with Diabetes: A Systematic Review

The care of individuals with diabetes needs a holistic perspective, taking into account both the physical disease and the mental health problems that may be associated. Different studies show a higher prevalence of depression or anxiety issues in diabetes patients than in the general population, which is why diabetes can be considered one of the chronic diseases in which psychological care is crucial to maintain quality of life. The objective of this review is to examine the published articles that relate the bidirectional associations between objective and subjective measures of anxiety, depressive symptomatology, stress, sleep quality, and salivary biomarkers in patients with diabetes. For this, a search was carried out in the electronic databases PubMed, Cochrane, and SCOPUS using the keywords “diabetes”, “saliva”, “sleep”, “anxiety”, “depression”, and “stress” for works published up until May 2022 and limited to the English and Spanish languages. The sample comprised 14 articles, 5 of which analysed the associations between depressive symptomatology and salivary biomarkers in people with diabetes. Among the salivary biomarkers most frequently used to evaluate psychological alterations in persons with diabetes are cortisol and melatonin. Thus, significant changes in the levels of these biomarkers were observed in most studies. Four out of five studies reported a statistically significant relationship between increased salivary cortisol in the evening/midnight or the cortisol awakening response and depressive symptoms. In contrast, lower cortisol levels upon waking in the morning were observed when there was no depression or anxiety. Regarding the association between salivary cortisol values and sleep quality in patients with diabetes, lower morning cortisol values related to prolonged nighttime sleep were common in the analysed studies. Low melatonin concentrations showed a negative correlation with sleep quality. As it is an easy-to-apply and non-invasive method, the measurement of salivary biomarkers can be very useful for predicting psychological alterations in patients with diabetes. Further scientific studies are required to determine the sensitivity of these biological substances acting as biomarkers for detecting sleep disorders and psychological alterations.
Characterization of Adherent-Invasive Escherichia coli (AIEC) Outer Membrane Proteins Provides Potential Molecular Markers to Screen Putative AIEC Strains

Adherent-invasive E. coli (AIEC) is a pathotype associated with the etiopathogenesis of Crohn’s disease (CD), albeit with an as-yet unclear role. The main pathogenic mechanisms described for AIEC are adherence to epithelial cells, invasion of epithelial cells, and survival and replication within macrophages. A few virulence factors have been described as participating directly in these phenotypes, most of which have been evaluated only in AIEC reference strains. To date, no molecular markers have been identified that can differentiate AIEC from other E. coli pathotypes, so these strains are currently identified based on the phenotypic characterization of their pathogenic mechanisms. The identification of putative AIEC molecular markers could be beneficial not only from the diagnostic point of view but could also help in better understanding the determinants of AIEC pathogenicity. The objective of this study was to identify molecular markers that contribute to the screening of AIEC strains. For this, we characterized outer membrane protein (OMP) profiles in a group of AIEC strains and compared them with the commensal E. coli HS strain. Notably, we found a set of OMPs that were present in the AIEC strains but absent in the HS strain. Moreover, we developed a PCR assay and performed phylogenomic analyses to determine the frequency and distribution of the genes coding for these OMPs in a larger collection of AIEC and other E. coli strains. As result, it was found that three genes (chuA, eefC, and fitA) are widely distributed and significantly correlated with AIEC strains, whereas they are infrequent in commensal and diarrheagenic E. coli strains (DEC). Additional studies are needed to validate these markers in diverse strain collections from different geographical regions, as well as investigate their possible role in AIEC pathogenicity.
The Role of Community Colleges in Developing Creativity and Innovation Skills of Vocational Students ( The University College of Applied Science as a Case Study)

This study aims to identify the role of community colleges in developing innovation and creativity skills among the students who are enrolled in its vocational programs from their point of view according to the study variables of gender, age and province in the second semester of the academic year 2018/2019. Furthermore, it sheds lights upon the efforts paid by community colleges in order to develop the skills of innovation and creativity in their various vocational programs. In order to achieve the study purposes, the quantitative method is used and a questionnaire as a study tool has been developed, distributed among the study sample and analysed by (SPSS). The results indicate that the arithmetic average of all the questionnaire’s items reaches (3.98) and thus the relative weight is (79.65). This means that there is a great deal of agreement on the questionnaire in general. The study also showed that there are no statistically significant differences between the averages of the study sample responses in all areas of the questionnaire for the role of the University College of Applied Sciences in developing innovation and creativity skills for vocational students according to their views, which are attributed to the variables of the study with the exception of age and province . The study recommends the need to provide a range of physical and moral facilities in the vocational institution’s environment, which support the enhancement of the creativity and innovation growth of technical and academic staff, vocational curriculum and the management practices and policies
Test of a Social Cognitive Model of Restorative Well-Being: Application to International Students

The social cognitive model of restorative well-being (Lent, 2004) focuses on the means by which people help to stabilize their emotional functioning after exposure to challenging life conditions. We extended this model to the study of how international students navigate psychological adjustment to life in the United States. In this application, we focused on the interplay of cognitive, behavioral, social, and trait mechanisms that may help to mitigate distress and promote well-being in the context of change and transition. Participants were 233 international students at U.S. colleges and universities who completed measures of acculturative stress, life satisfaction, social support, self-efficacy in coping with life changes, general self-efficacy, and acculturation- and enculturation-based coping behaviors. Findings indicated that the model provided good fit to the data. Coping efficacy was strongly predictive of lower levels of acculturative stress, which in turn predicted life satisfaction together with general self-efficacy. We consider implications of the findings for future research as well as for interventions designed to prevent psychological distress and to promote effective coping among international students and in a broad range of other stress and coping contexts, such as life role transitions.
Gender in Earlier Bronze Age Ireland and Scotland

Gender has long been recognized as an important structuring agent in Bronze Age communities across Europe. A strong impression of binary gender emerges from some Early Bronze Age cemeteries, and models of social organization developed from this evidence have greatly influenced understandings of gender across the continent. This article focuses on two regions with more equivocal evidence: Ireland and Scotland, where idiosyncratic practices characterize individual cemeteries alongside wider trends. Expressions of gender varied in radical ways between different communities, and this cannot be captured or explained by the current grand narratives for the European Bronze Age. Instead, the author argues that gender could be subtle, contextual, and of varying importance to individual communities at different times, not necessarily a common feature unifying the European Bronze Age.
The Effect of Message Framing on Preschoolers’ Attitudes and Behavioral Intentions: Influences of Age, Issue Involvement, and Delivery Method

Many previous studies have revealed that people’s decision-making may differ depending on message framing—whether the same content is presented with an emphasis on gain or loss. However, almost nothing is known about preschooler responses according to message framing. This study aimed to identify the characteristics of the message framing effect in preschoolers and to examine the influence of age, issue involvement, and delivery method on this effect. A total of 180 participants ranging from 3–5 years of age were randomly assigned to one of four conditions with different combinations of frame types and delivery methods. The attitudes and behavioral intentions of the children toward the messages were measured via questionnaire. The results showed that the effect of persuasive messages increased with age (p < 0.001, ηp2 = 0.14) and was higher when the messages were more relevant to children (p < 0.001, ηp2 = 0.15). Furthermore, loss-framed messages were more effective than gain-framed messages for issues delivered verbally with pictures, while the opposite was true for issues delivered only verbally (p < 0.001, ηp2 = 0.06). These results enable developmental and theoretical discussions of the framing effect in children and provide practical data for improving the persuasion efficacy of message delivery in children.
Proof Mining in Subsystems of Analysis

This dissertation studies the use of methods of proof theory in extracting new information from proofs in subsystems of classical analysis. We focus mainly on ineffective proofs, i.e. proofs which make use of ineffective principles ranging from weak Konig’s lemma to full comprehension. The main contributions of the dissertation can be divided into four parts: (1) A discussion of how monotone functional interpretation provides the right notion of “numerical implication” (cf. [21]) in analysis. We show among other things that monotone functional interpretation naturally creates well-studied moduli when applied to various classes of statements (e.g. uniqueness, convexity, contractivity, continuity and monotonicity) and that the interpretation of implications between those statements corresponds to translations between the different moduli. (2) A case study in L1-approximation, in which we analyze Cheney’s proof of Jackson’s theorem, concerning uniqueness of the best approximation, w.r. t. L1-norm, of continuous functions f ∈ C[0, 1] by polynomials of bounded degree. The result of our analysis provides the first effective modulus of uniqueness for L1-approximation. Moreover, using this modulus we give the first complexity analysis of the sequence of best L1approximations for polynomial-time computable functions f ∈ C[0, 1]. (3) A comparison between three different forms of bar recursion, in which we show among other things that the type structure of strongly majorizable functionals is a model of modified bar recursion, that modified bar recursion is not S1-S9 computable over the type structure of total continuous functions and that modified bar recursion defines (primitive recursively, in the sense of Kleene) Spector’s bar recursion. (4) An adaptation of functional interpretation to handle ineffective proofs in feasible analysis, which provides the first modular procedure for extracting polynomial-time realizers from ineffective proofs (i.e. proofs involving weak Konig’s lemma) of Π2-theorems in feasible analysis.
Paleogeographical reconstruction of the western French Alps foreland during the last glacial maximum using cosmogenic exposure dating

Abstract The extent of glaciers in the western French Alps foreland during the last glacial maximum (LGM, 26.5–19 ka) has not yet been determined, so understanding glacial paleogeography during the LGM remains an open question. This study focuses on the glacial chronology in the western French Alps piedmont using 10Be surface exposure ages on nine glacial boulders and 12 erratic boulders. Results indicate an LGM glacier advance between ca. 24 and 21 ka. During the late LGM, a smaller glacier readvance or stabilization phase occurred at ca. 19 ka, which was followed by a withdrawal phase between ca. 19 and 16.5 ka. Our outcomes show that the LGM extent in the western French Alps was similar or slightly less extensive than the pre-LGM ice extents during the last glacial. Such paleogeography has also been suggested in the western Italian Alps, which share the same accumulation zone with the western French Alps glaciers. The LGM dynamic of the western French Alps foreland glaciers highlighted by our exposure ages is consistent with the timing of the LGM glacier advances and deglaciation with the western Italian ice lobes.
Effect of Building Proportions on the Thermal Performance in the Mediterranean Climate of the Gaza Strip

This paper examines the effect of building proportions and orientations on the thermal performance of housing units located in the Mediterranean climate of the Gaza Strip. The study is carried out using computer programs, namely, ECOTECT and IES. The study concluded that the surface to volume ratio of buildings is considered the main geometrical parameter affecting the thermal performance of different geometric shapes. About 39% of energy consumption can be reduced through choosing the optimum building width to length ratio (W/L), which is 0.8. The roof to walls ratio has a considerable influence on the thermal response of buildings. Using the (roof/ walls) ratios, which range between 0.4 to 0.6 is preferable for both cooling and heating requirements. The horizontal arrangements of residential apartments are thermally better than the vertical arrangements of the same (S/V) ratio. Therefore, the study recommends to apply passive solar design strategies, especially with regard to geometric shape and orientation of buildings in the first stage of the design process.
Results from an experiment that collected visible-light polarization data using unresolved imagery for classification of geosynchronous satellites

In order to protect critical military and commercial space assets, the United States Space Surveillance Network must have the ability to positively identify and characterize all space objects. Unfortunately, positive identification and characterization of space objects is a manual and labor intensive process today since even large telescopes cannot provide resolved images of most space objects. The objective of this study was to collect and analyze visible-spectrum polarization data from unresolved images of geosynchronous satellites taken over various solar phase angles. Different collection geometries were used to evaluate the polarization contribution of solar arrays, thermal control materials, antennas, and the satellite bus as the solar phase angle changed. Since materials on space objects age due to the space environment, their polarization signature may change enough to allow discrimination of identical satellites launched at different times. Preliminary data suggests this optical signature may lead to positive identification or classification of each satellite by an automated process on a shorter timeline. The instrumentation used in this experiment was a United States Air Force Academy (USAFA) Department of Physics system that consists of a 20-inch Ritchey-Chrétien telescope and a dual focal plane optical train fed with a polarizing beam splitter. Following a rigorous calibration, polarization data was collected during two nights on eight geosynchronous satellites built by various manufacturers and launched several years apart. When Stokes parameters were plotted against time and solar phase angle, the data indicates that a polarization signature from unresolved images may have promise in classifying specific satellites.