Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Radix Polygalae on Cognitive Decline and Depression in Estradiol Depletion Mouse Model of Menopause

Postmenopausal syndrome refers to symptoms caused by the gradual decrease in female hormones after mid-40 years. As a target organ of estrogen, decrease in estrogen causes various changes in brain function such as a decrease in choline acetyltransferase and brain-derived neurotrophic factor; thus, postmenopausal women experience cognitive decline and more depressive symptoms than age-matched men. Radix Polygalae has been used for memory boosting and as a mood stabilizer and its components have shown neuroprotective, antidepressant, and stress relief properties. In a mouse model of estrogen depletion induced by 4-vinylcyclohexene diepoxide, Radix Polygalae was orally administered for 3 weeks. In these animals, cognitive and depression-related behaviors and molecular changes related to these behaviors were measured in the prefrontal cortex and hippocampus. Radix Polygalae improved working memory and contextual memory and despair-related behaviors in 4-vinylcyclohexene diepoxide-treated mice without increasing serum estradiol levels in this model. In relation to these behaviors, choline acetyltransferase and brain-derived neurotrophic factor in the prefrontal cortex and hippocampus and bcl-2-associated athanogene expression increased in the hippocampus. These results implicate the possible benefit of Radix Polygalae in use as a supplement of estrogen to prevent conditions such as postmenopausal depression and cognitive decline.
Evaluation of Soft and Hard Tissue Condition After Dental Implant Surgery in Diabetic and Non-diabetic Patients (6 Months Follow up)

Background: Hyperglycemia in diabetic patients can affect the success of many dental treatments. Thus, many dental procedures are contraindicated in patients with uncontrolled diabetes mellitus (DM) due to the consequent delay in wound healing. This study aimed to assess the effect of a long-term control of blood sugar on tissue healing after implant placement. Methods: This cohort study evaluated 20 patients aged 50-60, referring to the School of Dentistry, Mashhad University of Medical Sciences for implant placement. All patients underwent blood sugar test and were divided into two groups of diabetic and non-diabetic patients regarding their HbA1c level. Bone loss, bleeding on probing (BOP), and pocket probing depth (PPD) of patients were measured 1 and 6 months after the implant placement. Data were analyzed using independent t test and chi-square test. Results: Blood sugar control had no significant effect on bone loss, BOP and PPD one and six month(s) after implant placement (P>0.05). Although PPD significantly increased in both groups over time (P=0.016 in the healthy group and P=0.007 in the diabetic group), the difference between the two groups was not significant (P>0.05). Conclusion: According to the results from this study, blood sugar control examined in the age range of our study had no significant effect on tissue healing one and six month(s) after the implant placement. However, further studies are required to explore this subject more thoroughly.
Exploring multitrophic interactions in oilseed rape fields reveals the prevailing role of Carabidae

Abstract In cropped fields, birds are often at the highest position in the food chain, feeding on pest arthropods and their intermediate predators in a process known as intraguild predation. The net effects of bird predation on phytophagous insect populations (feeding on plants) are difficult to predict without comprehensively describing prey–predator communities and their complex interplay. We sampled bird and arthropod communities in 30 oilseed rape fields in the spring of 2019 and 2020 in France. To assess the top‐down control of arthropods by birds, we used a vertebrate exclusion experiment. Using a taxonomic and functional trait‐based approach, we determined the direct and indirect influences of birds on arthropod predators and phytophagous insect populations in arable crops. We observed a negative relationship between the abundance of Carabidae and phytophagous insects but not with the other predator group suggesting the key role of Carabidae on phytophagous insects in agroecosystem. We found no statistical evidence of intraguild predation from birds toward intermediate predators. Despite the lack of overall effect of predator functional diversity on their prey, we highlighted the negative relationship between the functional complementarity (through functional evenness) of Carabidae and the abundance of phytophagous insects. This result suggests that functional complementarity between Carabidae species could help to reduce phytophagous insect populations. We analyzed the effect of agricultural practices on these multitrophic interactions, showing that pesticide intensity only had detrimental effects on Carabidae abundance, while the frequency of tillage did not affect the studied communities. Complementary indices used to depict communities are helpful to better understand the mechanisms underlying trophic relationships.
Deterioro de valor en intangibles y en el valor llave

Las Normas Internacionales de Información Financiera (NIIF) presentan restricciones para el reconocimiento de intangibles como activos, dado que las estimaciones no verificables en el deterioro de los activos intangibles resultan incompletas tras este proceso. Asimismo, el tratamiento conservador en el reconocimiento de los costos de I+D como gastos en el momento en que se incurren provoca un efecto agresivo durante el reconocimiento de las ganancias. Por tanto, se visualiza un resultado neto por mayor valor, ya que los costos fueron reflejados en períodos anteriores. En otras palabras, se presenta un tratamiento asimétrico entre las ganancias y los costos por la misma operación: mientras los costos son tratados como egresos, existe una subestimación de las ganancias y del patrimonio de la empresa en el periodo de I+D. Respecto de este contexto, las NIIF presentan como objeto al caso promedio o típico; en este sentido, cada vez más las empresas buscan activar los gastos de I+D. Por ello, analizando las normas vinculadas al deterioro de valor e intangibles, y el tratamiento aplicado a valor llave o plusvalía como consecuencia de combinaciones de negocios, el presente artículo aborda las unidades generadoras de efectivo, con particular énfasis en el valor llave o plusvalía comprada.
Significance of Dufour and Soret effects on the non‐Darcy flow of Cross fluid by a tilted plate with radiation and chemical reaction: A Cattaneo–Christov heat flux model

The Darcy–Forchheimer flow model is substantial in the fields where a high flow rate effect is a common phenomenon, for instance, in petroleum engineering. In this paper, we aim to scrutinize the aspects of cross‐diffusion effects on the non‐Darcy flow of Cross fluid by a tilted plate with thermal radiation and chemical reaction. Metamorphosed equations are resolved with the combination of shooting and Runge–Kutta fourth‐order procedures. The correlation coefficient is used to discuss the impact of pertinent parameters on friction factor and transfer rates (heat and mass). The main findings of this study are that the Dufour number escalates fluid temperature and the Soret number ameliorates the fluid concentration. It is observed that the fluid velocity minifies with the elevation in the Forchheimer number. And also, it is perceived that the heat transfer rate has a generous positive relationship with the thermal relaxation parameter. Furthermore, validation of current results with the earlier results under specified conditions is performed and an adequate concord is seen.
Utility of Geriatric Nutritional Risk Index in Patients with Chronic Kidney Disease: A Mini-Review

Chronic kidney disease (CKD) is one of the most significant risk factors for cardiovasculardisese. Malnutrition has been recognized as a significant risk factor for cardiovascular disease in patients with CKD, including those on chronic dialysis. Current studies showed higher all-cause and cardiovascular mortality rates in patients with CKD and malnutrition. Geriatric nutritional risk index (GNRI), a simple and validated nutritional screening measure for both elderly people and patients on dialysis, is based only on three objective parameters: body weight, height, and serum albumin level. Recently, we demonstrated that the cutoff GNRI for predicting all-cause and cardiovascular mortality was 96 in patients on hemodialysis. Moreover, together with left ventricular hypertrophy and low estimated glomerular filtration rate, the utility of GNRI as a significant determinant of cardiovascular events was demonstrated in non-dialysis-dependent patients with CKD. In the present review, we summarize available evidence regarding the relationship of GNRI with all-cause and cardiovascular mortality in patients with CKD including those on dialysis.
Developing a Peer Relationship Scale for Adolescents: a validity and reliability study

BACKGROUND This study aims to develop a valid and reliable tool to measure adolescents’ peer relationships. PARTICIPANTS AND PROCEDURE The research was carried out with 543 adolescents aged 11-18 studying in secondary schools and high schools. Exploratory and confirmatory factor analysis was conducted to determine the construct validity of the scale. Based on the results of the exploratory factor analysis, a structure consisting of four sub-dimensions and 29 items was obtained. The sub-dimensions of the scale are named as intimacy, popularity, trust, and insightfulness. RESULTS As a result of the confirmatory factor analysis, the model fit indices were found to have a good fit. Significant relationships were found with the Peer Support Scale and the Stirling Children’s Well-being Scale during the analysis of the scale’s criterion validity. Cronbach’s α internal consistency, split half reliability, and the test-retest method were used to assess the reliability of the scale. Cronbach’s α internal consistency coefficient for the total score was found to be . 93, the split-half reliability was . 85, and the test-retest reliability value was . 82. CONCLUSIONS It can be inferred that the scale, which was developed based on the results obtained from validity and reliability studies, is a measurement tool that can be used in studies involving adolescents studying at the level of secondary and high school.
Calibration of Heston's stochastic volatility model to an empirical density using a genetic algorithm

In this paper we propose the use of genetic algorithms when fitting a stochastic process to the empirical density of stock returns. Using the Heston Model as an example, we show how such a calibration can be carried out. We also present an easy to implement genetic algorithm and provide calibration results for the daily stock returns of the DAX and the S&P 500. Schlagworter: Aktienrenditen, Dichtefunktion, empirische Dichte, Heston Model, Modellkalibrierung, Stochastische Prozesse
Towards modelling active sound localisation based on Bayesian inference in a static environment

Over the decades, Bayesian statistical inference has become a staple technique for modelling human multisensory perception. Many studies have successfully shown how sensory and prior information can be combined to optimally interpret our environment. Because of the multiple sound localisation cues available in the binaural signal, sound localisation models based on Bayesian inference are a promising way of explaining behavioural human data. An interesting aspect is the consideration of dynamic localisation cues obtained through self-motion. Here we provide a review of the recent developments in modelling dynamic sound localisation with a particular focus on Bayesian inference. Further, we describe a theoretical Bayesian framework capable to model dynamic and active listening situations in humans in a static auditory environment. In order to demonstrate its potential in future implementations, we provide results from two examples of simplified versions of that framework.
On the (un‐)adoption of JavaScript front‐end frameworks

JavaScript is characterized by a rich ecosystem of libraries and frameworks. A key element in this ecosystem are frameworks used for implementing the front‐end of web‐based applications, such as Vue and React. However, despite their relevance, we have few works investigating the factors that drive the adoption—and un‐adoption—of front‐end‐based JavaScript frameworks. Therefore, in this article, we first report the results of a survey with 49 developers where we asked them to describe the factors they consider when selecting a front‐end framework. In the second part of the work, we focus on projects that migrate from one framework to another since JavaScript's ecosystem is also very dynamic. Finally, we provide a quantitative characterization of the migration effort and reveal the main barriers faced by the developers during this effort. Although not completely generalizable, our central findings are as follows: (a) popularity and learnability are the key factors that motivate the choice of front‐end frameworks in JavaScript; (b) from the 49 surveyed developers, one out of four have plans to migrate to another framework in the future; (c) the time spent performing the migration is greater than or equal to the time spent using the old framework in all studied projects. We conclude with a list of implications for practitioners, framework developers, tool builders, and researchers.
Walking Accessibility to Parks: Considering Number of Parks, Surface Area and Type of Activities

Findings Parks and green spaces are desirable destinations for diverse reasons including exercising, playing, relaxing, and socializing. In this paper, we demonstrate that simultaneously considering number of parks, surface area and type of activity provides an improved understanding of walking accessibility to parks in urban areas. Using open datasets and a configurable tool, we find that in Montreal, 95% of the population have access to three or more parks, 83% can access 3 or more playgrounds, and 10% can access 3 or more open air activities within a 1 km walk. The accessible surface area varies considerably across the region. The tool reveals distinct patterns that better reflect the diversity of needs and uncovering specific inequalities, and can therefore contribute to improved decision-making.
Exploring data mining: facets and emerging trends

Purpose Data mining along with its varied technologies like numerical mining, textual mining, multimedia mining, web mining, sentiment analysis and big data mining proves itself as an emerging field and manifests itself in the form of different techniques such as information mining; big data mining; big data mining and Internet of Things (IoT); and educational data mining. This paper aims to discuss how these technologies and techniques are used to derive information and, eventually, knowledge from data. Design/methodology/approach An extensive review of literature on data mining and its allied techniques was carried to ascertain the emerging procedures and techniques in the domain of data mining. Clarivate Analytic’s Web of Science and Sciverse Scopus were explored to discover the extent of literature published on Data Mining and its varied facets. Literature was searched against various keywords such as data mining; information mining; big data; big data and IoT; and educational data mining. Further, the works citing the literature on data mining were also explored to visualize a broad gamut of emerging techniques about this growing field. Findings The study validates that knowledge discovery in databases has rendered data mining as an emerging field; the data present in these databases paves the way for data mining techniques and analytics. This paper provides a unique view about the usage of data, and logical patterns derived from it, how new procedures, algorithms and mining techniques are being continuously upgraded for their multipurpose use for the betterment of human life and experiences. Practical implications The paper highlights different aspects of data mining, its different technological approaches, and how these emerging data technologies are used to derive logical insights from data and make data more meaningful. Originality/value The paper tries to highlight the current trends and facets of data mining.
Zastosowanie sztucznej inteligencji w diagnostyce otoneurologicznej – przegląd wybranych publikacji

Introduction : Modern technologies, i.e. artificial intelligence (AI), are rapidly becoming an element supporting the assessment of the diagnosis of vestibular dysfunction. According to the researchers, artificial intelligence quickly analyzes large amounts of data through algorithms making the conclusions detailed and precise. Material and methods: The selected review includes groundbreaking publications from a database such as PubMed, Science Direct and Web of Science in 2015–2021, related to the use of machine learning in the diagnostic process of the most popular vestibular disorders. Conclusions: From a clinical point of view, due to numerous factors that influence the feeling of dizziness and maintaining pos-ture, it is not yet possible to apply artificial intelligence to the self-assessment of vestibular functions. The study indicates that the results of objective diagnostic tests analyzed by machine learning and the ENT may become an important element of clinical practice.
Older Adults’ Computer-Mediated Communication (CMC) Engagement Following COVID-19 and Its Impact on Access to Community, Information, and Resource Exchange: A Longitudinal, Qualitative Study

Following COVID-19, the CDC asked individuals to social distance and state and local authorities nationwide began issuing curfews and recommendations to “shelter-in-place. ” Known to be more susceptible to the negative effects of COVID-19 and often coping with higher levels of social isolation, many worried that older adults’ mental health would suffer. While computer-mediated communication (CMC) is on the rise among older adults, whether and how older adults leverage the social benefits of CMC remains underexplored. This study assesses older adults’ CMC use after COVID and the impact of CMC engagement on access to connection, information, and resources. We follow 22 older adults over 6 weeks, using longitudinal qualitative surveys to study CMC use patterns and mental health outcomes. Results revealed that while older adults exhibited purpose-driven CMC engagement, limited integration into larger online communities restricted access to up-to-the-minute information, notably early in the pandemic. Longitudinal findings show progressively less engagement with online news and information, withdrawal from online social engagement, and a progressive relaxing of social distancing. This study sheds light on how best to reach older adults following disaster, and where older adults may be disadvantaged as social media becomes a modern “emergency broadcast system. ”
Psychological Safety

Organizations stand to benefit from the process improvement outcomes that result from employees’ creative ideas, innovative behaviors, and proactive suggestions (see the Oxford Bibliographies in Management Studies articles “Creativity”, “Innovative Behavior”, and “Employee Voice.”) Employees, however, may recognize risks associated with such activities: an idea may not be accepted or, if accepted, may not produce the intended results, a suggestion may benefit some stakeholders at the expense of others, etc. Psychological safety (PS) reflects employee beliefs about the safety of interpersonal risk taking; employees who perceive their work environments as psychologically safe are more likely to take risks due to the reduced fear of negative repercussions. Conceptualized across multiple levels of analysis (individual-, team-, and organizational levels), this construct is an important feature in a variety of organizational research streams. Most notably, researchers often model psychological safety as an explanatory factor of individual attitudes and behaviors, team information sharing and innovativeness, and organizational change and performance. Recent research has begun to explore cross-level relationships, cross-cultural comparisons, and the potential dark side of psychological safety.
Effect of three different esthetic treatments on the microardness and surface roughness of (ICON) treated teeth.

The aim of this study was to evaluate the effects of three esthetic treatments (bleaching, polishing and brushing) on the microhardness and surface roughness of the teeth treated with (Icon) at different storage times (one day, one week and one month). White spot lesion was created on the labial surfaces of 120 anterior teeth were prepared, treated with Icon resin, divided into 4groups according to the treatment where, three subgroups were treated with polishing, bleaching and brushing at different storage times. Microhardness and surface roughness were measured. Results: There was a decrease in the microhardness and an increase in the surface roughness comparing with the control group specially in the polishing subgroup and after one month of storage. Conclusion: esthetic treatment affects the microhardness and surface roughness of Icon treated teeth. Polishing has highest effect while, brushing has the lowest. This effect increases with storage.
Expression and Characterization of a Novel Cold-Adapted Chitosanase from Marine Renibacterium sp. Suitable for Chitooligosaccharides Preparation

(1) Background: Chitooligosaccharides (COS) have numerous applications due to their excellent properties. Chitosan hydrolysis using chitosanases has been proposed as an advisable method for COS preparation. Although many chitosanases from various sources have been identified, the cold-adapted ones with high stability are still rather rare but required. (2) Methods: A novel chitosanase named CsnY from marine bacterium Renibacterium sp. Y82 was expressed in Escherichia coli, following sequence analysis. Then, the characterizations of recombinant CsnY purified through Ni–NTA affinity chromatography were conducted, including effects of pH and temperature, effects of metal ions and chemicals, and final product analysis. (3) Results: The GH46 family chitosanase CsnY possessed promising thermostability at broad temperature range (0–50 °C), and with optimal activity at 40 °C and pH 6.0, especially showing relatively high activity (over 80% of its maximum activity) at low temperatures (20–30 °C), which demonstrated the cold-adapted property. Common metal ions or chemicals had no obvious effect on CsnY except Mn2+ and Co2+. Finally, CsnY was determined to be an endo-type chitosanase generating chitodisaccharides and -trisaccharides as main products, whose total concentration reached 56.74 mM within 2 h against 2% (w/v) initial chitosan substrate. (4) Conclusions: The results suggest the cold-adapted CsnY with favorable stability has desirable potential for the industrial production of COS.