Miracle-dz/UniFAR-FTUs huggingface dataset:
Z Kuşağının Girişimcilik Eğilimi: Üniversite Öğrencileri Üzerinde Bir Araştırma

Bireyin dogdugu tarihteki ekonomik, teknolojik ve cevresel sartlar her donem birbirinden farkli olacagindan kisiligini de etkileyecegi dusunulmektedir. Bu dusunceden hareketle dogum tarihi baz alinarak kusaklar siniflandirmasi yapilmaktadir. Bu siniflandirmanin en genc tabakasi olan Z kusagi teknoloji merkezli ve cok odakli bir yasam tarzi benimsemektedir. Bireylerin dogum tarihlerine gore sahip olduklari bakis acisi farkliliklari, gelecege yonelik tutumlarini da degistirmektedir. Bu noktadan hareketle calismanin amaci Z Kusaginin kariyer tercihlerini, gelecek beklentisini ve is hayatinda onemsedigi degerleri belirlemektir. Bu amaca yonelik olarak masa basi bir is sahibi olmaya karsilik kendi girisiminin patronu olma egilimleri olculen 102 Turizm bolumu ogrencisinin is hayatina yonelik saygin bir is sahibi olma, yeteneklerini gosterme ve isten zevk alma gibi degerlere onem verdigi tespit edilmistir. Calisma, henuz kararsiz olan Z Kusaginin dogru bir yonlendirme ve nitelikli egitimle ekonomik gelisime katkida bulunacak girisimciler olabilecegini gostermesi acisindan onem tasimaktadir.
Nutritional Status and Osteoporotic Fracture Rehabilitation Outcomes in Older Adults

Abstract To determine the impact of nutritional status and risk factors for undernutrition based on the changes in functional outcomes and rehabilitation success, defined as the ability of older adults to return as close as possible to their original functional state. Retrospective cohort study among 107 rehabilitation patients, aged ≥65 y. Data included demographics, Functional Independence Measure (FIM), Short Nutritional Assessment Questionnaire (SNAQ), reported weight, Mini-Mental Status Examination (MMSE), and Cumulative Illness Rating-Scale for Geriatrics (CIRS-G). Rehabilitation success was determined by delta-FIM. Higher vs. lower functioning patients were younger, had shorter hospitalization, and lower CIRS-G score with higher mean MMSE. Delta-FIM was significantly higher in patients with low malnutrition risk (SNAQ): 14.2 ± 10.5 vs. 6.9 ± 13.9 in undernourished patients, those who did not lose weight 14.5 ± 10.5 vs. 5.6 ± 12.8 in patients who lost weight with normal dietary intake, normal albumin, and lower CIES-G. Patients who achieved functional independence, FIMDC ≥90, ate normally and experienced less “appetite loss” [40.5% vs. 68.4%; P = 0.048]. Weight loss was the strongest negative predictor of delta-FIM (B = –9.094; P = 0.007). To conclude, nutritional status, mainly weight change, is an independent negative predictor for rehabilitation success.
Enhanced gut barrier integrity sensitizes colon cancer to immune therapy

ABSTRACT Oral IL-10 suppressed tumor growth in the APCmin/+ mouse/Bacteroides fragilis colon cancer model while a similar formulation of IL-12 exacerbated disease. In contrast, combined treatment with IL-10 and IL-12 resulted in near-complete tumor eradication and a significant extension of survival. The cytokines mediated distinct immunological effects in the gut, i.e. IL-10 diminished Th17 cell prevalence whereas IL-12 induced IFNγ and enhanced CD8 + T-cell activity. Loss-of-function studies demonstrated that IL-12-driven CD8 + T-cell expansion was only partially responsible for the synergy, and that both the detrimental and the beneficial activities of IL-12 required IFNγ. Examination of colon physiology in mice receiving single vs dual treatment revealed that exacerbation of disease by IL-12 monotherapy was associated with compromised gut barrier integrity whereas combined treatment reversed this effect, uncovering additional activity by the cytokines on the stroma. Further analysis showed that the stromal effects of IL-12 included a 6-fold increase in IL-10RA expression in the colon epithelium, linking the epithelial activity of the cytokines. Finally, dual but not monotherapy induced a 3-fold increase in tight junction protein levels in the colon, identifying the mechanism by which IL-10 blocked the detrimental effect of the IL-12-IFNγ axis on barrier function without interfering with its beneficial immunological activity. These findings establish that the synergy between IL-12 and IL-10 was mediated by pleiotropic effects on the immune and the non-immune compartments and that the latter activity was critical to therapeutic outcome.
Prescription rate of anti-atherosclerotic drugs in German nursing homes and its impact on outcome.

BACKGROUND Peripheral arterial disease (PAD) is one of the major manifestations of general atherosclerosis and strongly associated with increased cardiovascular morbidity and mortality. Because only few epidemiologic studies are available concerning the prevalence of PAD in inhabitants ≥ 80 years of age, we screened inhabitants of nursing care homes in Germany for PAD and cardiovascular diseases and to assess the one year mortality. PATIENTS AND METHODS We conducted a prospective cohort study, screening inhabitants of 42 nursing homes for PAD. Demographic data, comorbidities, cardiovascular risk factors and daily medication were collected. PAD was defined as ankle-brachial index < 0.9. During a follow up period of one year, cardio- and cerebrovascular events and mortality were recorded, as well as the rate of falls and major amputation. RESULTS 1,329 probands (391 men, 938 women) > 60 years were eligible for further analysis. The mean age was 84.1 years (range 61-107 years) and the prevalence of PAD was 31.5 % . Media sclerosis was found in up to 17 %, and an existing diagnosis of PAD (in case of pathological ABI) and undertreatment was common. Probands with PAD were less likely to be treated according to guideline recommendations (antiplatelet therapy, beta blockers, statins) than probands with coronary artery disease (CAD). The overall one-year mortality was 19.8 % (n = 236), significantly higher than for a gender and age matched German population (p < 0.001). CONCLUSIONS The current study shows a high prevalence of PAD in German nursing care homes. The one year mortality was not significantly different between probands with PAD and those with severe PAD (defined as an ABI of ≤ 0.5), whereas a media sclerosis was associated with an increased risk in probands with CAD in comparison to those without. Use of anti-diabetic agents and aspirin in monotherapy was associated with a reduced one-year mortality risk.
Simultaneous contact and aerodynamic force estimation (s-CAFE) for aerial robots

In this article, we consider the problem of multirotor flying robots physically interacting with the environment under influence of wind. The results are the first algorithms for simultaneous online estimation of contact and aerodynamic wrenches acting on the robot based on real-world data, without the need for dedicated sensors. For this purpose, we investigated two model-based techniques for discriminating between aerodynamic and interaction forces. The first technique is based on aerodynamic and contact torque models, and uses the external force to estimate wind speed. Contacts are then detected based on the residual between estimated external torque and expected (modeled) aerodynamic torque. Upon detecting contact, wind speed is assumed to change very slowly. From the estimated interaction wrench, we are also able to determine the contact location. This is embedded into a particle filter framework to further improve contact location estimation. The second algorithm uses the propeller aerodynamic power and angular speed as measured by the speed controllers to obtain an estimate of the airspeed. An aerodynamics model is then used to determine the aerodynamic wrench. Both methods rely on accurate aerodynamics models. Therefore, we evaluate data-driven and physics-based models as well as offline system identification for flying robots. For obtaining ground-truth data, we performed autonomous flights in a 3D wind tunnel. Using this data, aerodynamic model selection, parameter identification, and discrimination between aerodynamic and contact forces could be performed. Finally, the developed methods could serve as useful estimators for interaction control schemes with simultaneous compensation of wind disturbances.
Laboratory evidence for the hematopoietic potential of Beta vulgaris leaf and stalk extract in a phenylhydrazine model of anemia

This study was designed to provide laboratory evidence supporting the hematopoietic effect of Beta vulgaris (beet) leaf aqueous extract in phenylhydrazine-induced anemia model in albino rats. Extraction of the leaves/stalks was done by maceration in 30% hydro-ethanol for 48 h. An intraperitoneal injection of 20 mg/kg phenylhydrazine was applied for two consecutive days to develop hemolytic anemia on the 4th day after the 1st injection in 24 of 30 male albino rats. The animals were divided into 5 groups and received the following treatments: standard (ferrous ascorbate + folic acid; 13.5 + 0.135 mg/kg), B. vulgaris extract (100 and 200 mg/kg), or left untreated (normal and diseased controls). Blood samples were taken at 0, 4, 8, and 12 days of the experiment for hematological and clinico-chemical analysis. Beet leaf extract significantly restored the levels of red blood cells, white blood cells, hemoglobin, and hematocrit in dose- and time-dependent manners. Blood indices have been significantly corrected. Erythropoietin level was maintained at higher levels. Erythrocytic membrane oxidation biomarker (malondialdehyde) level was significantly reduced compared to the anemic untreated group. The extract exhibited potent, concentration (4–512 μg/mL)-dependent antioxidant activity indicated by the 2,2-diphenyl-1-picryl-hydrazyl (DPPH) assay, with IC50 value of 37.91 μg/mL. Beet leaf extract resulted in detection of flavonoid and phenolic compounds that may underlie its hematinic properties. These findings may indicate B. vulgaris as a good natural source for pharmaceutical preparations with hematopoietic effects and treatment of anemia and/or associated conditions.
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks

The standard approach to assess reliability of automatic speech transcriptions is through the use of confidence scores. If accurate, these scores provide a flexible mechanism to flag transcription errors for upstream and downstream applications. One challenging type of errors that recognisers make are deletions. These errors are not accounted for by the standard confidence estimation schemes and are hard to rectify in the upstream and downstream processing. High deletion rates are prominent in limited resource and highly mismatched training/testing conditions studied under IARPA Babel and Material programs. This paper looks at the use of bidirectional recurrent neural networks to yield confidence estimates in predicted as well as deleted words. Several simple schemes are examined for combination. To assess usefulness of this approach, the combined confidence score is examined for untranscribed data selection that favours transcriptions with lower deletion errors. Experiments are conducted using IARPA Babel/Material program languages.
Stable impact and contact force control by UAV for inspection of floor slab of bridge

ABSTRACT This paper describes the contact force control on an unmanned aerial vehicle (UAV) developed to inspect the floor slabs of bridges. Our UAV is equipped with a three degree-of-freedom manipulator on top of the UAV body. To control the UAV for stable contact with the slab surface, the impact force should be considered. The impact force is modeled based on Hertzian contact stress. The control strategy of the UAV is cascade control separated into attitude control and position-force control. The attitude, position and force feedback are PID control. The force feedback is integrated into the position feedback seamlessly, and the output of the force feedback is added to the desired end-point position of the manipulator. This paper focuses on contact of the UAV and the floor slab. Therefore, the UAV is modeled considering the impact force in the vertical direction. The control method in the vertical direction is described, and then the altitude control and the contact force control are assessed. The altitude of the UAV was controlled with a 0.45 [sec] delay during ascending and 1.76 [sec] during descending. The UAV could control the contact force with mean error 1.61 ± 1.08 [N] while the desired contact force was 3 [N]. GRAPHICAL ABSTRACT
Factors affecting the choice of health care utilisation between private and public services among the elderly population in India

India is experiencing rapid population ageing in recent years. One of the most concomitant issues is the choice of health care services among the elderly, leading to its impact on the magnitude of health expenditure. Applying Andersen's Health Behavioural Model, this study identifies the predictors of the choice of inpatient health care services among the Indian elderly between private and public services. It also examines the nature of interregional disparity in the choice of health care services. Using NSSO data, the results suggest that the elderly belonging to upper caste and having higher levels of education, higher incomes, larger family size, and needing surgery are likely to choose private health care, while those experiencing higher economic dependence, chronic diseases, and higher duration of hospitalisation tend to prefer public inpatient services. The magnitude and significance of these factors, however, vary across regions. The findings of the study provide an understanding of the preferences of the India's geriatric population over hospital services, which may help policymakers better understand their health care needs.
Solving Single Allocation Hub Location Problems on Euclidean Data

If shipments have to be transported between many sources and sinks, direct connections from each source to each sink are often too expensive. Instead, a small number of nodes are upgraded to hubs that serve as transshipment points. All sources and sinks are connected to these hubs, so that only a few, strongly consolidated transport relations exist. While hubs and detours lead to additional costs, the savings from bundling shipments—i.e., economies of scale—usually outweigh these costs. Typical applications for hub networks are in cargo, air freight, and postal and parcel transport services. In this paper, we consider three classical and two recent formulations of single allocation hub location problems—i.e., hub location problems in which every source and sink is connected to exactly one hub. Solving larger instances of these problems to optimality is difficult because the inherent quadratic structure of the problem has to be linearized: This leads to a sharp rise in the number of variables. Our new appr.
Cardiovascular Events after New-Onset Atrial Fibrillation in Adults with CKD: Results from the Chronic Renal Insufficiency Cohort (CRIC) Study.

BACKGROUND Atrial fibrillation (AF), the most common sustained arrhythmia in CKD, is associated with poor clinical outcomes in both patients without CKD and patients with dialysis-treated ESRD. However, less is known about AF-associated outcomes in patients with CKD who do not require dialysis. METHODS To prospectively examine the association of new-onset AF with subsequent risks of cardiovascular disease events and death among adults with CKD, we studied participants enrolled in the Chronic Renal Insufficiency Cohort Study who did not have AF at baseline. Outcomes included heart failure, myocardial infarction, stroke, and death occurring after diagnosis of AF. We used Cox regression models and marginal structural models to examine the association of incident AF with subsequent risk of cardiovascular disease events and death, adjusting for patient characteristics, laboratory values, and medication use. RESULTS Among 3080 participants, 323 (10.5%) developed incident AF during a mean 6.1 years of follow-up. Compared with participants who did not develop AF, those who did had higher adjusted rates of heart failure (hazard ratio [HR], 5.17; 95% confidence interval [95% CI], 3.89 to 6.87), myocardial infarction (HR, 3.64; 95% CI, 2.50 to 5.31), stroke (HR, 2.66; 95% CI, 1.50 to 4.74), and death (HR, 3.30; 95% CI, 2.65 to 4.12). These associations remained robust with additional adjustment for biomarkers of inflammation, cardiac stress, and mineral metabolism; left ventricular mass; ejection fraction; and left atrial diameter. CONCLUSIONS Incident AF is independently associated with two- to five-fold increased rates of developing subsequent heart failure, myocardial infarction, stroke, or death in adults with CKD. These findings have important implications for cardiovascular risk reduction.
The Application of Mobile fNIRS in Marketing Research—Detecting the “First-Choice-Brand” Effect

Recent research in the field of “neuro-marketing” shows promise to substantially increase knowledge on marketing issues for example price-perception, advertising efficiency, branding and shopper behaviour. Recently, an innovative and mobile applicable neuroimaging method has been proposed, namely functional near-infrared spectroscopy (fNIRS). However, this method is, in the research field of marketing, still in its infancy and is, consequently, lacking substantial validity. Against this background, this research work applied a convergent validity approach to challenge the validity of (mobile) fNIRS in the field of “neuro-marketing” and consumer neuroscience. More precisely, we aim to replicate a robust and well-investigated neural effect previously detected with fMRI—namely the “first-choice-brand” effect—by using mobile fNIRS. The research findings show that mobile fNIRS appears to be an appropriate neuroimaging method for research in the field of “neuro-marketing” and consumer neuroscience. Additionally, this research work presents guidelines, enabling marketing scholars to utilise mobile fNIRS in their research work.
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation

A general-purpose intelligent robot must be able to learn autonomously and be able to accomplish multiple tasks in order to be deployed in the real world. However, standard reinforcement learning approaches learn separate task-specific policies and assume the reward function for each task is known a priori. We propose a framework that learns event cues from off-policy data, and can flexibly combine these event cues at test time to accomplish different tasks. These event cue labels are not assumed to be known a priori, but are instead labeled using learned models, such as computer vision detectors, and then `backed up' in time using an action-conditioned predictive model. We show that a simulated robotic car and a real-world RC car can gather data and train fully autonomously without any human-provided labels beyond those needed to train the detectors, and then at test-time be able to accomplish a variety of different tasks. Videos of the experiments and code can be found at this https URL
Outcome of School-Based Intervention Program in Promoting Personal Hygiene in Primary School Children of Mumbai, India

Personal hygiene plays an important role in preventing communicable diseases especially in children. In developing countries like India, the burden of communicable diseases is high which makes an awareness program imperative in school children. The objective was to study the outcome of school-based intervention program in promoting personal hygiene among the primary school children of Mumbai and Thane. This is a comparative study carried out from July 2015 to March 2016 between intervention and nonintervention groups before and after intervention. Using random sampling, 119 schools in Mumbai and 24 schools in Thane were selected. Our results suggest that knowledge, attitude, and practices were significantly different in end-line than baseline in the intervention group and had better effects as reflected in scores compared with comparison group. The findings reveal that a health education program clubbed with entertainment and interaction can bring positive attitudinal shift which is otherwise difficult to change.
Compact Generalized Non-local Network

The non-local module is designed for capturing long-range spatio-temporal dependencies in images and videos. Although having shown excellent performance, it lacks the mechanism to model the interactions between positions across channels, which are of vital importance in recognizing fine-grained objects and actions. To address this limitation, we generalize the non-local module and take the correlations between the positions of any two channels into account. This extension utilizes the compact representation for multiple kernel functions with Taylor expansion that makes the generalized non-local module in a fast and low-complexity computation flow. Moreover, we implement our generalized non-local method within channel groups to ease the optimization. Experimental results illustrate the clear-cut improvements and practical applicability of the generalized non-local module on both fine-grained object recognition and video classification. Code is available at: this https URL.
Characterizing hippocampal dynamics with MEG: A systematic review and evidence‐based guidelines

The hippocampus, a hub of activity for a variety of important cognitive processes, is a target of increasing interest for researchers and clinicians. Magnetoencephalography (MEG) is an attractive technique for imaging spectro‐temporal aspects of function, for example, neural oscillations and network timing, especially in shallow cortical structures. However, the decrease in MEG signal‐to‐noise ratio as a function of source depth implies that the utility of MEG for investigations of deeper brain structures, including the hippocampus, is less clear. To determine whether MEG can be used to detect and localize activity from the hippocampus, we executed a systematic review of the existing literature and found successful detection of oscillatory neural activity originating in the hippocampus with MEG. Prerequisites are the use of established experimental paradigms, adequate coregistration, forward modeling, analysis methods, optimization of signal‐to‐noise ratios, and protocol trial designs that maximize contrast for hippocampal activity while minimizing those from other brain regions. While localizing activity to specific sub‐structures within the hippocampus has not been achieved, we provide recommendations for improving the reliability of such endeavors.
Spanish Validation of the Emotion Regulation Questionnaire for Children and Adolescents (ERQ-CA): Introducing the ERQ-SpA.

Research on emotion regulation is now extensive and shows the benefits of the adaptive management of emotions for social functioning and psychological well-being. Our purpose was to test the psychometric properties of the Emotion Regulation Questionnaire for Children and Adolescents with a sample of nonclinical Spanish adolescents. A total of 462 secondary education students (223 girls, mean age = 13.89 years, SD = 1.38) participated. The instrument proved to be two-factor and gender-invariant. Results revealed the temporal stability of both emotion regulation strategies, while the predictive validity study revealed that depressive symptoms were negatively related to cognitive reappraisal, and positively related to expressive suppression. Our findings support the use of the ERQ-SpA in Spanish adolescents.
IntentNet: Learning to Predict Intention from Raw Sensor Data

In order to plan a safe maneuver, self-driving vehicles need to understand the intent of other traffic participants. We define intent as a combination of discrete high-level behaviors as well as continuous trajectories describing future motion. In this paper, we develop a one-stage detector and forecaster that exploits both 3D point clouds produced by a LiDAR sensor as well as dynamic maps of the environment. Our multi-task model achieves better accuracy than the respective separate modules while saving computation, which is critical to reducing reaction time in self-driving applications.