Miracle-dz/UniFAR-FTUs huggingface dataset:
DUYGUSAL FARKINDALIK DÜZEYİ ÖLÇEĞİNİN UYARLANMASI: GEÇERLİK VE GÜVENİRLİK ÇALIŞMALARI

The Levels of Emotional Awareness Scale (LEAS) is a performance measure of the articulation of emotional awareness and consists of 20 vignettes. The purpose of this study was conduct to adaptation of LEAS to Turkish Culture. In this purpose validity and reliability were examined. The sample consisted of 405 undergraduates (195 female and 210 male). For validity; criteria based and content validity were utilized. For reliability; Cronbach Alpha internal consistency and test-retest were estimated. Factor analysis (Exploratory and Confirmatory Factor Analysis) indicated that revised Levels of Emotional Awareness Scale might be taken as a one-dimensional scale. The finding shows that, this scale can be used to with acceptable level of validity and reliability for Turkish undergraduate students.
Beta‐elemene inhibits breast cancer metastasis through blocking pyruvate kinase M2 dimerization and nuclear translocation

Pyruvate kinase M2 (PKM2), playing a central role in regulating aerobic glycolysis, was considered as a promising target for cancer therapy. However, its role in cancer metastasis is rarely known. Here, we found a tight relationship between PKM2 and breast cancer metastasis, demonstrated by the findings that beta‐elemene (β‐elemene), an approved drug for complementary cancer therapy, exerted distinct anti‐metastatic activity dependent on PKM2. The results indicated that β‐elemene inhibited breast cancer cell migration, invasion in vitro as well as metastases in vivo. β‐Elemene further inhibited the process of aerobic glycolysis and decreased the utilization of glucose and the production of pyruvate and lactate through suppressing pyruvate kinase activity by modulating the transformation of dimeric and tetrameric forms of PKM2. Further analysis revealed that β‐elemene suppressed aerobic glycolysis by blocking PKM2 nuclear translocation and the expression of EGFR, GLUT1 and LDHA by influencing the expression of importin α5. Furthermore, the effect of β‐elemene on migration, invasion, PKM2 transformation, and nuclear translocation could be reversed in part by fructose‐1,6‐bisphosphate (FBP) and L‐cysteine. Taken together, tetrameric transformation and nuclear translocation of PKM2 are essential for cancer metastasis, and β‐elemene inhibited breast cancer metastasis via blocking aerobic glycolysis mediated by dimeric PKM2 transformation and nuclear translocation, being a promising anti‐metastatic agent from natural compounds.
Epicoccum nigrum-induced respiratory infection in a wild Eurasian scops owl (Otus scops)

A wild adult Eurasian scops owl (Otus scops), which was unable to fly, was rescued. Physical examination revealed a sticky exudate around the glottis. Heterophilic leukocytosis was identified through complete blood count, and radiography revealed a marked elevated density of posterior air sacs and inner cavities in both sides of the humerus and femur. Fungal cultures of samples taken from the owl suggested a respiratory fungal infection. Through molecular typing, the fungus was identified as Epicoccum nigrum. The owl was treated with oral itraconazole and broad-spectrum antibiotics. After one month, the inner cavities of pneumatic bones were slightly distinguishable by radiography and the owl started to fly well. Two months later, the air sac and all pneumatic bones displayed normal appearance.
Fungi Causing Storage Rot of Apple Fruit in Integrated Pest Management System and their Sensitivity to Fungicides

Abstract Apple fruit rot can be caused by several fungi. In Northern Europe, the most common storage rot, Bull’s eye rot, is caused by Neofabraea spp. , bitter rot by Colletotrichum spp. , brown rot by Monilinia fructigena, grey mould is caused by Botrytis cinerea and Fusarium rot by several Fusarium species. Blue mold decay caused by Penicillium expansum is an important disease in several European countries. Incidence of different causal agents may vary depending on cultivar, climate during growing season and agricultural practices. The main objective of the study was to obtain baseline information about apple rot-causing fungi, their incidence during fruit storage and to evaluate the fungicide sensitivity of most of isolated fungal species. The study was performed during the storage period of apples after the growth season of 2013. Rotten apples were sorted in the storage and part of them was brought to the laboratory in order to obtain fungal isolates. Fungi were identified according to the morphological characteristics and sequencing of the ITS1-5.8S-ITS2 region. During storage in February and March the total percentage of rotten apples in various cultivars varied from 3.6 to 58.9%. All post-harvest diseases described in Northern Europe were detected. In part of the storehouses apple rot caused by Cadophora luteo-olivacea was observed. Alternaria spp. and Cladosporium spp. were detected on few apples as secondary infection agents. Using the most often isolated fungal species, sensitivity tests were performed against five commonly used fungicides. In general, the sensitivity of tested fungi to the fungicides was high with exception of several Neofabraea and Alternaria isolates.
Impaired interhemispheric synchrony in late blindness

Background Several neuroimaging studies demonstrated that visual deprivation led to significant cross-modal plasticity in the brain’s functional and anatomical architecture. Purpose To investigate the pattern of the interhemispheric functional connectivity in individuals with late blindness using the voxel-mirrored homotopic connectivity (VMHC) and seed-based functional connectivity (FC) methods. Material and Methods Forty-four individuals with late blindness (22 men, 22 women; mean age = 39.88 ± 12.84 years) and 55 sighted control individuals (35 men, 20 women; mean age = 43.13 ± 13.98 years)—closely matched for age, sex, and education—underwent resting-state magnetic resonance imaging scans. The VMHC and seed-based FC methods were applied to assess interhemispheric coordination in a voxel-wise manner. Results Compared with the sighted control groups, the late blindness groups showed decreased VMHC values in the bilateral cuneus/calcarine/lingual gyrus (CUN/CAL/LING) (BA 17/18/19) (voxel level: P < 0.001, Gaussian random field [GRF] correction, cluster level: P < 0.005). Meanwhile, for seed-based FC analysis, compared with the sighted control group, the late blindness group showed a decreased FC between the right lower VMHC regions and the bilateral CUN/LING/CAL/precuneus (PreCUN)/left middle occipital gyrus (MOG) (BA 18/19/30/31) and left precentral gyrus (PreCG) and postcentral gyrus (PostCG) (BA 2/3/4/6). The late blindness group showed a decreased FC between the left lower VMHC regions and the bilateral CUN/LING/CAL/PreCUN (BA 18/19/31) and left PreCG and PostCG (BA 2/3/4/6) relative to the sighted control group (voxel level: P < 0.001, GRF correction, cluster level: P < 0.005). Moreover, a negative correlation was observed between the duration of blindness and VMHC values in the bilateral CUN/CAL/LING (r = −0.393, P = 0.008) in individuals with late blindness. Conclusion Our results indicated that late blindness induced substantial impairment of interhemispheric coordination in the visual cortex. This might reflect impaired visual fusion, visual recognition function, and top-down modulations in individuals with late blindness.
Polypharmacy, hazardous alcohol and illicit substance use and serious falls among PLWH and uninfected comparators.

Background. Medication classes, polypharmacy, hazardous alcohol and illicit substance abuse may exhibit stronger associations with serious falls among persons living with HIV (PLWH) than with uninfected comparators. We investigated whether these associations differed by HIV status. Setting. Veterans Aging Cohort Study Methods. We employed a nested case-control design. Cases (N=13,530) were those who fell. Falls were identified by external cause of injury codes and a machine learning algorithm applied to radiology reports. These were matched to controls (N=67,060) by age, race, sex, HIV status, duration of observation, and baseline date. Risk factors included medication classes, count of unique non-antiretroviral (non-ART) medications, and hazardous alcohol and illicit substance use. We used unconditional logistic regression to evaluate associations. Results. Among PLWH, benzodiazepines (odds ratio (OR) 1.24; 95% confidence interval (CI) 1.08, 1.40) and muscle relaxants (OR 1.29; 95% CI 1.08, 1.46) were associated with serious falls but not among uninfected (p>0.05). In both groups, key risk factors included non-ART medications (per five medications) (OR 1.20, 95% CI 1.17, 1.23), illicit substance use/abuse (OR 1.44; 95% CI 1.34, 1.55), hazardous alcohol use (OR 1.30; 95% CI 1.23, 1.37), and an opioid prescription (OR 1.35; 95% CI 1.29, 1.41). Conclusion. Benzodiazepines and muscle relaxants were associated with serious falls among PLWH. Non-ART medication count, hazardous alcohol and illicit substance use, and opioid prescriptions were associated with serious falls in both groups. Prevention of serious falls should focus on reducing specific classes and absolute number of medications and both alcohol and illicit substance use.
Guanfacine extended-release for cannabis use disorder: a pilot feasibility trial

ABSTRACT Background: Currently, there are no established pharmacotherapies for cannabis use disorders (CUDs). As a long-acting alpha-2-adrenergic receptor agonist, guanfacine extended-release (G-XR) could be useful in the treatment of CUDs by mitigating withdrawal and improving behavioral control. Objectives: To evaluate the feasibility and tolerability of G-XR as a treatment for CUDs. Methods: In an eight-week open-label outpatient pilot trial, we evaluated the safety and tolerability of G-XR in 22 cannabis dependent individuals. Using 2 different titration schedules, G-XR was gradually titrated to a dose of 4 mg or the highest dose tolerated. All participants received standard medication management. Results: Retention at week eight was 41%. Average daily amount of cannabis use (in grams: F1,86 = 8.74, p = .004; in dollars: F1,86 = 16.67, p < .0001) and cannabis using days (F1,86 = 7.67, p = .007) significantly reduced over the course of study participation. There were no significant differences between the titration schedules on emergence of side effects (Fisher exact test, p = .378) or retention (Log-Rank Test X2 1 = 0.021, p = .886). A total of 3 participants achieved 3 weeks or greater of total abstinence. Conclusions: G-XR is a feasible treatment for CUDs, and should be evaluated further in an efficacy trial.
Is there an optimal level of positive and negative feedback in group therapy? A response surface analysis.

Interpersonal feedback is an important process in group therapy. Feedback can be both positive and negative, and group researchers have noted the importance of both positive and negative feedback in fostering cohesive groups and evoking behavioral change (Yalom & Leszcz, 2005). However, there is a paucity of research examining the amount and valence (i.e., positive and negative) of interpersonal feedback on group therapy process and outcomes. Therefore, this study tested the proposition that congruent and high levels of members' perceptions of positive and negative feedback was optimal for member's perceptions of cohesion and improvement in group therapy. Data for this study consisted of 168 members across 43 interpersonal process therapy groups. Polynomial regression and response surface analysis revealed that members' perceptions of congruent and high levels of positive and negative interpersonal feedback were positively associated with members' perceptions of group cohesion and improvement. In addition, members' perceptions of discrepant high positive feedback and low negative feedback were positively associated with members' perceptions of group cohesion and improvement. These findings suggest that members' perceptions of balanced and high amounts of positive and negative feedback, as well as discrepant high positive feedback and low negative feedback, are optimal in group therapy. Group leaders should attend to the amount and proportion of positive and negative member-member feedback in therapy groups to enhance the clinical benefit of these services. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Resistance Training for Older Adults: Position Statement From the National Strength and Conditioning Association.

Fragala, MS, Cadore, EL, Dorgo, S, Izquierdo, M, Kraemer, WJ, Peterson, MD, and Ryan, ED. Resistance training for older adults: position statement from the national strength and conditioning association. J Strength Cond Res XX(X): 000-000, 2019-Aging, even in the absence of chronic disease, is associated with a variety of biological changes that can contribute to decreases in skeletal muscle mass, strength, and function. Such losses decrease physiologic resilience and increase vulnerability to catastrophic events. As such, strategies for both prevention and treatment are necessary for the health and well-being of older adults. The purpose of this Position Statement is to provide an overview of the current and relevant literature and provide evidence-based recommendations for resistance training for older adults. As presented in this Position Statement, current research has demonstrated that countering muscle disuse through resistance training is a powerful intervention to combat the loss of muscle strength and muscle mass, physiological vulnerability, and their debilitating consequences on physical functioning, mobility, independence, chronic disease management, psychological well-being, quality of life, and healthy life expectancy. This Position Statement provides evidence to support recommendations for successful resistance training in older adults related to 4 parts: (a) program design variables, (b) physiological adaptations, (c) functional benefits, and (d) considerations for frailty, sarcopenia, and other chronic conditions. The goal of this Position Statement is to a) help foster a more unified and holistic approach to resistance training for older adults, b) promote the health and functional benefits of resistance training for older adults, and c) prevent or minimize fears and other barriers to implementation of resistance training programs for older adults.
System Call Analysis of Android Malware Families

Background/Objectives: Now a days, Android Malware is coded so wisely that it has become very difficult to detect them. The static analysis of malicious code is not enough for detection of malware as this malware hides its method call in encrypted form or it can install the method at runtime. The system call tracing is an effective dynamic analysis technique for detecting malware as it can analyze the malware at the run time. Moreover, this technique does not require the application code for malware detection. Thus, this can detect that android malware also which are difficult to detect with static analysis of code. As Android was launched in 2008, so there were fewer studies available regarding the behavior of Android Malware Families and their characteristics. The aim of this work is to explore the behavior of 10 popular Android Malware Families focused on System Call Pattern of these families. Methods/Statistical Analysis: For this purpose, the authors have extracted the system call trace of 345 malicious applications from 10 Android Malware Families named FakeInstaller, Opfake, Plankton, DroidKungFu, BaseBridge, Iconosys, Kmin, Adrd and Gappusin using strace android tool and compared it with the system calls pattern of 300 Benign Applications to justify the behavior of malicious application. Findings: During the experiment, it is observed that the malicious applications invoke some system calls more frequently than benign applications. Different Android malware invokes the different set of system calls with different frequency. Applications/Improvements: This analysis can prove helpful in designing intrusion-detection systems for an android mobile device with more accuracy.
Mathematics Teachers' Knowledge-of-Practice with Technologies in an Online Masters' Program: Scoop Action Research Experiences and Reflections

As teacher education leverages online instructional environments, an important research focus is how best to re-conceptualize mathematics inservice teacher classroom observations. This chapter proposes an alternative methodology to the structure of traditional observations, where the Scoop Notebook provides a window into mathematics teachers’ Technological Pedagogical Content Knowledge (TPACK), specifically their TPACK-of-practice. In this descriptive, cross-case study, a re-designed Scoop process frames teachers’ engagement in classroom practices, putting into practice their scholarly formal knowledge and developing in-depth, rich reflections from their classroom actions and artifacts. This study illustrates how embedding the Scoop process into a graduate instructional strategies course as part of a Master’s degree curriculum results in engaging teachers in action research where they use artifacts as objects to think with for transforming their TPACK for integrating technologies in teaching mathematics.
Sexual minority status and symptoms of psychosis: The role of bullying, discrimination, social support, and drug use – Findings from the Adult Psychiatric Morbidity Survey 2007

Objective Sexual minorities have an increased risk of psychosis, potentially explained by experiences of social adversity. Sexual minorities may also have a specific risk of paranoid symptoms. The current study aimed to determine whether sexual minorities have increased risk of psychosis, whether they have a specific increased risk of paranoia when compared to auditory verbal hallucinations (AVHs), and whether social adversity such as bullying, recent discrimination, lack of social support, and drug use can explain this risk. Methods The study used data from the Adult Psychiatric Morbidity Survey 2007 (n = 7,403), exploring both sexual identity and past sexual behaviour. Associations between sexual minority status and probable psychosis, paranoia, and AVH were analysed using logistic regression. Mediation analysis was also conducted using the Karlson–Holm–Breen method, with bullying, recent discrimination, social support, and drug use as mediators assessing pathways between sexual minority status and paranoia/AVH. Socio‐demographic confounders were included in analyses. Results Sexual minority status did not significantly predict probable psychosis. Findings generally indicated a specific association between sexual minority status and paranoia when contrasted with AVH. However, sexual behaviour remained significantly associated with AVH in logistic regression models. Bullying, lack of social support, and drug use partially mediated the association between sexual minority status and paranoia. Conclusions Sexual minority status appears to have a specific association with paranoia symptoms, which may be partially explained by experiences of social adversity. However, the cross‐sectional nature of the study limits direct inference about causality of such symptoms. Practitioner points Sexual minority groups may be more likely to experience symptoms of paranoia. It may be important to consider experiences of social adversity such as bullying, lack of social support, and also history of drug use in the context of paranoia within these groups.
Answering Deep Queries Specified in Natural Language with Respect to a Frame Based Knowledge Base and Developing Related Natural Language Understanding Components

Question Answering has been under active research for decades, but it has recently taken the spotlight following IBM Watson’s success in Jeopardy! and digital assistants such as Apple’s Siri, Google Now, and Microsoft Cortana through every smart-phone and browser. However, most of the research in Question Answering aims at factual questions rather than deep ones such as “How” and “Why” questions. In this dissertation, I suggest a different approach in tackling this problem. We believe that the answers of deep questions need to be formally defined before found. Because these answers must be defined based on something, it is better to be more structural in natural language text; I define Knowledge Description Graphs (KDGs), a graphical structure containing information about events, entities, and classes. We then propose formulations and algorithms to construct KDGs from a frame-based knowledge base, define the answers of various “How” and “Why” questions with respect to KDGs, and suggest how to obtain the answers from KDGs using Answer Set Programming. Moreover, I discuss how to derive missing information in constructing KDGs when the knowledge base is under-specified and how to answer many factual question types with respect to the knowledge base. After having the answers of various questions with respect to a knowledge base, I extend our research to use natural language text in specifying deep questions and knowledge base, generate natural language text from those specification. Toward these goals, I developed NL2KR, a system which helps in translating natural language to formal language. I show NL2KR’s use in translating “How” and “Why” questions, and generating simple natural language sentences from natural language KDG specification. Finally, I discuss applications of the components I developed in Natural Language Understanding.
Workforce crisis in primary healthcare worldwide: Hungarian example in a longitudinal follow-up study

Objective The study was designed to explore the development of the general practitioner (GP) shortage in primary care and its characteristics in Hungary. Design Longitudinal follow-up study over the decade 2007–2016. Methods Analyses were performed on changes in number, age and sex of GPs by practice type (adult, paediatric and mixed), as well as on their geographical distribution and migration between areas characterised by deprivation index (DI) at municipality level. The association between deprivation and vacancy for GPs was studied by risk analysis. The number of population underserved was defined by DI quintile. Setting and subjects The study involved all general practices and GPs in the period examined. Main outcome measure It is showed that the number of general practices with unfilled GP posts was increasing exponentially, mainly in the most deprived areas of the country. Results A decrease in the number of GPs in all types of practices, especially in mixed (by 7.7%; p<0.001) and paediatric (by 6.5%; p<0.001) ones, was shown; the number of adult practices with unfilled GP posts doubled, while the number of paediatric practices with a vacancy for a paediatrician more than tripled. The average age of GPs was increased by 3.7 years (p<0.001) in adult, by 5.4 years (p<0.001) in paediatric and by 4.2 years (p<0.001) in mixed practices. In 2007, 52.27% (95% CI 51.03 to 53.5) of the GPs were women, and this rate increased to 56.19% (95% CI 54.93 to 57.44) by the end of the decade. An exponential association between relative vacancy rate and deprivation was confirmed. As a result of the migration of GPs, in the most deprived areas, the number of GPs decreased by 8.43% (95% CI 5.86 to 10.99). Conclusions The workforce crisis in Hungarian primary care is progressively deepening and resulting in more severe inequity in access to healthcare.