Miracle-dz/UniFAR-FTUs huggingface dataset:
Eğirdir (Isparta) Ekolojisinde Yetiştirilen Bazı Geççi Yerli Armut ( Pyrus communis L. ) Genotiplerinin Meyve Özelliklerinin Belirlenmesi

Bu arastirma 2014 yilinda Isparta ili Egirdir ilcesinde yurutulmustur. Arastirmada Egirdir Meyvecilik Arastirma Enstitu Mudurlugu Genetik Kaynaklar bolumunde bulunan gecci 18 yerli armut genotipi ve bir armut cesidinin bazi meyve ozellikleri belirlenmistir. Calismada, incelenen armut genotiplerinin meyve agirligi 22.04- 373.97g, meyve boyu 30.55-141.27 mm, meyve eni 35.02-87.33 mm, meyve eti sertligi 9.92-12.92 kg, suda cozunebilir kuru madde icerigi % 12.25-19.25, titre edilebilir asit icerigi % 0.20-0.65 arasinda belirlenmistir. Arastirmada elde edilen bulgular armut genetik kaynaklari uzerinde ileriki yillarda yapilacak islah calismalarina isik tutacaktir.
PENGARUH CITRA MEREK, KEPERCAYAAN MEREK DAN KEPUASAN KONSUMEN TERHADAP LOYALITAS MEREK JASA KURIR (Studi Kasus pada Pelanggan Pos Indonesia di Fakultas Ekonomi Universitas Negeri Yogyakarta)

Abstrak Penelitian ini bertujuan untuk mengetahui pengaruh citra merek, kepercayaan merek Penelitian ini bertujuan untuk mengetahui: (1) pengaruh citra merekterhadap loyalitas merek jasa kurir Pos Indonesia, (2) pengaruh kepercayaan merek terhadap loyalitas merek jasa kurir Pos Indonesia, (3) pengaruh kepuasan konsumen terhadap loyalitas merek jasa kurir Pos Indonesia, dan (4) pengaruh citra merek, kepercayaan merek, dan kepuasan konsumen terhadap loyalitas merek jasa kurir Pos Indonesia. Penelitian ini dikategorikan sebagai penelitian deskriptif kuantitatif, dimana instrumen penelitian ini berupa kuesioner. Populasi dalam penelitian ini adalah mahasiswa strata 1 angkatan 2011-2015 di Fakultas Ekonomi Universitas Negeri Yogyakarta. Teknik pengambilan sampel dengan metode purposive sampling. Sampel yang diambil dalam penelitian ini sebanyak 190 mahasiswa. Alat ukur terbukti valid dan reliabel untuk instrumen penelitian. Kata kunci: citra merek, kepercayaan merek, kepuasan konsumen, loyalitas merek. A bstract This research aimed to know: (1) The influence of brand image toward Indonesian Pos courier service brand loyalty. (2) The influence of brand trust Indonesian toward Pos courier service brand loyalty. (3) The influence of customer satisfaction toward Indonesian Pos courier service brand loyalty. (4) The influence of brand image, brand trust, and customer satisfaction toward Indonesian Pos courier service brand loyalty. This research was categorized as descriptive quantitative research where the research instrument was in the form of questionnaire. The population of this research was the undergraduate students of Economic Faculty of Yogyakarta State University in the study year of 2011-2015. The technique of the sample collection was purposive sampling method. The samples which were collected were 190 students. The measuring instrument was valid and reliable to be the research instrument. The multiple regression analysis was used to conduct the hypothesis test in this research. Keywords: brand image, brand trust, customer satisfaction, brand loyalty.
Probabilistic permanent fault displacement hazard via Monte Carlo simulation and its consideration for the probabilistic risk assessment of buried continuous steel pipelines

Permanent fault displacements (PFDs) because of fault ruptures emerging at the surface are critical for seismic design and risk assessment of continuous pipelines. They impose significant compressive and tensile strains to the pipe cross‐section at pipe‐fault crossings. The complexity of fault rupture, inaccurate mapping of fault location and uncertainties in fault‐pipe crossing geometries require probabilistic approaches for assessing the PFD hazard and mitigating pipeline failure risk against PFD. However, the probabilistic approaches are currently waived in seismic design of pipelines. Bearing on these facts, this paper first assesses the probabilistic PFD hazard by using Monte Carlo‐based stochastic simulations whose theory and implementation are given in detail. The computed hazard is then used in the probabilistic risk assessment approach to calculate the failure probability of continuous pipelines under different PFD levels as well as pipe cross‐section properties. Our probabilistic pipeline risk computations consider uncertainties arising from complex fault rupture and geomorphology that result in inaccurate mapping of fault location and fault‐pipe crossings. The results presented in this paper suggest the re‐evaluation of design provisions in current pipeline design guidelines to reduce the seismic risk of these geographically distributed structural systems. Copyright © 2016 John Wiley & Sons, Ltd.
Skin Sensitization Testing: The Ascendancy of Non-Animal Methods

A century ago, toxicology was an empirical science identifying substance hazards in surrogate mammalian models. Over several decades, these models improved, evolved to reduce animal usage, and recently have begun the process of dispensing with animals entirely. However, despite good hazard identification, the translation of hazards into adequately assessed risks to human health often has presented challenges. Unfortunately, many skin sensitizers known to produce contact allergy in humans, despite being readily identified as such in the predictive assays, continue to cause this adverse health effect. Increasing the rigour of hazard identification is inappropriate. Regulatory action has only proven effective via complete bans of individual substances. Since the problem applies to a broad range of substances and industry categories, and since generic banning of skin sensitizers would be an economic catastrophe, the solution is surprisingly simple—they should be subject to rigorous safety assessment, with the risks thereby managed accordingly. The ascendancy of non-animal methods in skin sensitization is giving unparalleled opportunities in which toxicologists, risk assessors, and regulators can work in concert to achieve a better outcome for the protection of human health than has been delivered by the in vivo methods and associated regulations that they are replacing.
Bee-Derived Products: Chemical Composition and Applications in Skin Tissue Engineering

Skin tissue regeneration is one of the population’s most common problems, and the complications that may appear in the healing process can have detrimental consequences. An alternative to conventional treatments could be represented by sustainable materials based on natural products, such as honey and its derivates (propolis, royal jelly, bee pollen, beeswax, and bee venom). They exhibit significant inhibitory activities against bacteria and have great potential in dermal tissue regeneration. Research in the pharmaceutical field demonstrates that conventional medication combined with bee products can deliver better results. The advantages include minimizing side effects and maintaining the same effectiveness by using low concentrations of antibiotic, anti-inflammatory, or chemotherapy drugs. Several studies suggested that bee products can replace the antimicrobial activity and efficiency of antibiotics, but further investigation is needed to establish a topical mixture’s potential, including honey, royal jelly, and propolis. Bee products seem to complete each other’s deficiencies, and their mixture may have a better impact on the wound healing process. The topic addressed in this paper highlights the usefulness of honey, propolis, royal jelly, bee pollen, beeswax, and bee venom in the re-epithelization process and against most common bacterial infections.
The MAX Effect in an Oil Exporting Country: The Case of Norway

This paper assesses the effects of investors’ lottery-seeking behavior on expected returns in the Norwegian equity market, a relatively small equity market dominated by the energy industry. We use the MAX factor defined as maximum daily return over the previous month as the proxy of investors’ preference for lottery-like stocks. Despite evidence from recent literature that MAX has a negative relationship with the expected returns in other developed European markets, we find that the relationship is generally insignificant in Norway; however, it becomes more nuanced when we control for the state of the oil market. The dominance of firms related to the oil industry, which have experienced tremendous growth over the last couple of decades, masks the effect to a large extent. Conditional regressions show that the MAX effect is only significant in the Norwegian stock market when the oil market is in the bearish state.
The financial reporting systems quality (FRSQ) and institutional investors: The case of an emerging market

Abstract Attracting institutional shareholders in stock markets has drawn the attention of financial market regulators and researchers. Globally, governments are trying to attract institutional investors by reducing information asymmetry and improving governance and transparency, in order to produce a high-quality financial reporting system. Hence, this study investigates the impact of financial reporting systems quality (FRSQ) on institutional ownership. It uses all non-financial listed companies on Bursa Malaysia over the period 2009–2016. Ordinary Least Square (OLS) regression based on two-way cluster-robust standard errors (firm and year) is used to achieve the objective of the study. The findings show a positive relationship between institutional ownership and FRSQ, suggesting that institutional investors prefer to invest in a firm that has effective FRS. The study differs from previous research in terms of capturing the FRSQ based on a wider set of governance attributes, namely audit committee characteristics (size, independence, diligence and expertise), internal audit function (IAF) cost and sourcing arrangements, and external auditors’ attributes (audit fees, industry auditor specialist, auditor’s reputation and size) that are yet to be examined in either developed or developing countries. It offers insights for regulators in Malaysia and other emerging economies which are in the process of undertaking regulatory reforms in their corporate governance structure. Managers could learn which aspects of corporate governance should be considered to keep their firm in a strong position in terms of its ability to attract institutional investors.
The Effect of SAVI Learning Model on Students' Critical Thinking Skills

This research aims to determine the effect of the SAVI learning model on the critical thinking skills of junior high school students. The method used in this research is one group pre-test-post test, with a descriptive quantitative approach. The test is done online via a google form. The question instrument contains 10 multiple choice questions and 5 questions on the description of the digestive system material that has been validated by the validator. This study involved 90 students of grade 8. The results showed that the validation results of critical thinking test questions obtained a mode 4 score and a reliability value of 86%, while the results of the students' critical thinking skills test showed that after the SAVI learning model was applied there was an increase obtained from the average pretest score of 40 and the average score The post-test average was 81 so that the N-gain score increased by 0.68 in the medium category, and all critical thinking indicators were achieved well.
Macrodynamics of Technological Change: Market Penetration by New Technologies

Progress in technology is viewed as a continuing historical process during which existing forms of satisfaction of human needs are replaced by new and superior ones. A mathematical model is developed describing this process for any number of competing technologies satisfying the same need. The state of competition is characterized by market shares held by particular technologies and the model gives the evolution law for this state. The approach adopted in the derivation of the model is based on long-term balance of capital flows governing production using different technologies. Both deterministic and stochastic versions of the nonlinear dynamic model are presented. Computer subroutines are given for estimation of model parameters from historical data and for forecasting future development of the process. The model is applied to the substitution of primary energy sources in world energy consumption, including the forecast of market penetration by nuclear energy.
Finding the "sweet spot" of smartphone use: Reduction or abstinence to increase well-being and healthy lifestyle?! An experimental intervention study.

The present experimental study compared the impact of a total abstinence from smartphone use and of a reduction of daily smartphone use by 1 hr on well-being and healthy lifestyle. Participants (Ntotal = 619) were smartphone users in Germany. The first experimental group (N = 200) waived smartphone use for 7 days, the second experimental group (N = 226) reduced its daily use by 1 hr, and the control group (N = 193) used smartphone as usual. Variables of smartphone use (time, intensity, problematic tendencies), life satisfaction, depressive symptoms, anxiety symptoms, physical activity, and smoking behavior were assessed via online surveys at four measurement time points (baseline; postintervention; 1 and 4 months after postintervention). Both interventions reduced smartphone use intensity, problematic use tendencies, depressive, and anxiety symptoms. In both groups, life satisfaction and physical activity increased. Most effects were stronger and remained more stable over 4 months in the reduction group than in the abstinence group. Moreover, in the reduction group only, the number of daily smoked cigarettes decreased. Thus, less time spent on the smartphone leads to more well-being and a healthier lifestyle; a complete smartphone abstinence is not necessary. Programs that focus on the increase of well-being and a healthier lifestyle could benefit from the integration of controlled reduction of smartphone use. A potential "sweet spot" of smartphone use is discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Studies on antimicrobial activity of Lawsonia inermis L. against different strains of bacteria and fungi

Natural plant products are a significant source of synthetic and traditional medicines. The majority of the world population, especially in developing countries, is dependent on herbal formulations for their primary health care needs. Lawsonia inermis is a popular medicinal plant and possess many pharmacological properties. The present study was carried out to estimate the antimicrobial activity of L inermis leaves of the mother plant, regenerated plants and callus extract to justify the pharmaceutical aspect of the plant to provide herbal plant products as phytochemistry in Ayurveda as well as ethnobotanical aspect of the plant.The antimicrobial activity was determined with the help of the agar well diffusion method by using some Gram-positive;Bacillu subtilius MTCC441, Bacillus cereus MTCC430, Staphylococcus aureus MTCC96,Gram-negative; Escherichia coli MTCC1885,Pseudomonas aeruginosa MTCC424 and fungal strains Candida albicans MTCC227.Leaves and callus extract were tested against these microorganisms in different types of solvent as Methanolic, Ethanolic, Aqueous, Acetone, Hexane, Chloroform and Diethyl ether were investigated by agar well diffusion method. Different extraction procedures were done by using the soxhlet apparatus.Dilutions were made for the extract and it was noticed that the zones of inhibitions were increased ith the concentration of the extracts. Methanolic leaves extract was found best extract for antimicrobial activity of L. inermis in comparison to other extracts.The maximum zone of inhibition was 13.79±1.7mm in methanolic extracts of leaves against B. subtilis and the minimum zone of inhibition was noticed 09.40±1.7 mm against B. cereus.The value of the zone of inhibition was more in the case of leaves extracts as compared to callus extracts.This study showed that methanolic leaves extracts of L. inermis inhibit the growth of microorganisms dose-dependently.The leaves of Lawsonia inermis support the traditional use of the plant in therapy of bacterial infection.
Monte Carlo study of the breakdown of an AlInAs/GaInAs HEMT on InP with an InP etch stop layer

This paper deals with the evaluation of AlInAs/GaInAs HEMTs (high electron mobility transistors) with an InP etch stop layer (IESL) for power applications in the millimeter and submillimeter wave ranges. We use a 2D Monte Carlo model in order to analyze the capability of the device to handle high voltage with small gate length.
An innovative change from face-to-face to remote assessment of clinical cases in BDS finals exams

As a response to the lockdown brought about by the COVID-19 pandemic, an innovative change was made to a part of the University of Bristol’s Bachelor of Dental Surgery finals examination. Clinical cases, which were previously assessed face-to-face, were rapidly adapted to a remote assessment format and students’ perceptions of the enforced change were explored. The blueprint of intended learning outcomes was carefully considered in making amendments. University level and external examiner approval was obtained for the transition from face-to-face to remote assessment. The connectivity and communication required for the remote format was tested prior to the assessment. A questionnaire was used to obtain feedback from students who undertook this remote assessment. Respondents were asked to rate their agreement with statements using a four-point Likert scale. The intended learning outcomes were satisfactorily assessed remotely. The assessment was delivered successfully with broadly positive perceptions of this new remote assessment format. Remote clinical case assessments can be a suitable alternative to face-to-face conventional methods. Meticulous preparation is critical, including engagement with both staff and students as stakeholders.
Temporal Relation Inference Network for Multimodal Speech Emotion Recognition

Speech emotion recognition (SER) is a non-trivial task for humans, while it remains challenging for automatic SER due to the linguistic complexity and contextual distortion. Notably, previous automatic SER systems always regarded multi-modal information and temporal relations of speech as two independent tasks, ignoring their association. We argue that the valid semantic features and temporal relations of speech are both meaningful event relationships. This paper proposes a novel temporal relation inference network (TRIN) to help tackle multi-modal SER, which fully considers the underlying hierarchy of phonetic structure and its associations between various modalities under the sequential temporal guidance. Mainly, we design a temporal reasoning calibration module to imitate real and abundant contextual conditions. Unlike the previous works, which assume all multiple modalities are related, it infers the dependency relationship between the semantic information from the temporal level and learns to handle the multi-modal interaction sequence with a flexible order. To enhance the feature representation, an innovative temporal attentive fusion unit is developed to magnify the details embedded in a single modality from semantic level. Meanwhile, it aggregates the feature representation from both the temporal and semantic levels to maximize the integrity of feature representation by an adaptive feature fusion mechanism to selectively collect the implicit complementary information to strengthen the dependencies between different information subspaces. Extensive experiments conducted on two benchmark datasets demonstrate the superiority of our TRIN method against some state-of-the-art SER methods.
Multicenter Randomized Controlled Trial Comparing the Contribution of Proxabrushes with Regular Toothbrushes and Only Regular Toothbrushes to the Oral Health of Thai Elderly

Objective The aim of this two-group experimental study was to explore the effects of proxabrush on Thai elderly oral health. Design and Setting. Multicenter randomized controlled trial, parallel grouped, open label, blocked randomization was used at each province to allocate treatment. The study was conducted at public hospitals in 16 provinces in Thailand between November 2019 and January 2020. Methods Participants in the test group used proxabrushes and regular toothbrushes, and participants in the control group used only regular toothbrushes for 6 weeks. Plaque accumulation, gingival status, and oral healthcare data were collected at baseline and at 6-week follow-up. Clinical oral health examiner was blinded to group assignment. Randomization was computer-generated, with allocation concealment by opaque sequentially number sealed envelopes. Data analysis compared plaque and gingival indices between the test and control groups. Results A total of 510 elderly with at least 20 natural teeth and interdental spaces were randomized (test n = 255; control n = 255), and 35 were excluded from analysis because of early drop out leaving 239 in the test group and 236 in the control group. A sample of 475 aged between 60 and 91 years participated in the study; 158 (33.3%) were males and 317 (66.7%) were females. The results revealed that, compared to baseline knowledge, attitude and practice were improved at follow-up for both the test and control groups (p < 0.05). At follow-up, the independent-samples t-test compares the test group plaque index mean of 0.49 (SD 0.44) to the control group mean of 0.60 (SD 0.56); a mean difference of 0.11 (95% CI 0.02 to 0.20) obtained demonstrated statistical significance (p = 0.014), and comparing the test group gingival index mean of 0.52 (SD 0.50) to the control group mean of 0.65 (SD 0.60), a mean difference of 0.13 (95% CI 0.03 to 0.23) obtained demonstrated statistical significance (p = 012). At follow-up, the test group had lower plaque accumulation and better gingival status than the control group. Gender, medical problems, educational level, occupation, and age were not different between the test and control groups. A combination of daily proxabrush and regular toothbrush use yielded significant benefits over regular tooth-brushing alone. Conclusions In conclusion, proxabrush has been found to be an effective interdental cleaning aid among Thai elderly. This trial is registered with TCTR20220127004.
An analysis of noncoherent adaptive detection scheme

A nonstationary adaptive detection scheme based on a generalized likelihood ratio test (GLRT) formulation where the radar returned signal amplitude and the true covariance matrix are unknown is presented. The probability density function of the GLR test under the noise-only hypothesis is central chi /sup 2/, and the appropriate threshold value to a desired probability of false alarm rate is readily obtained. Under the signal plus noise hypothesis, an exact statistical characterization of the test cannot be obtained, and therefore a Chernoff bound is derived. The performance of the GLR test in terms of the probability of detection versus signal-to-noise ratio (SNR) is evaluated using Monte Carlo simulations. The test's performance is compared with results obtained from the Chernoff bound and the optimal matched filter (known covariance matrix) case. The noncoherent detector's performance asymptotically approaches matched filter performance levels. <<ETX>>