Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 Pandemic, Urban Resilience and Real Estate Prices: The Experience of Cities in the Yangtze River Delta in China

The COVID-19 pandemic has severely impacted the urban real estate market around the world. This study regards the impact of the pandemic as a quasi-natural experiment, using the Difference in Difference model (DID) to examine the short-term impact of this severe public health crisis on the residential land and housing markets in the Yangtze River Delta. The study found that the COVID-19 pandemic has had a significant inhibitory effect on the average price of urban residential land and houses in the Yangtze River Delta. Although the currency oversupply has caused real estate prices in all cities to rise, the price of urban residential land decreased by 13.7% for each additional unit of epidemic severity. The greater the city’s resilience to the pressure of the COVID-19 pandemic, the faster its residential land prices will recover. Empirical research on the new house samples confirmed this conclusion. Local governments should continue to improve their ability to manage abnormal conditions, not only to prevent the spread of the epidemic, but also to gradually promote the recovery of the urban economy, strengthen urban resilience to better respond to health crises, and achieve sustainable urban development.
Searching for ontological security: women’s experiences leading to high drive for muscularity

ABSTRACT Women with high levels of drive for muscularity (DFM) may display what could be perceived as non-normative corporeal desires because their commitment to muscle may contrast Western societal expectations of femininity. Little, however, is known about women’s experiences with high levels of DFM. Thus, we explored the stories of women with high DFM and disclose the socio-cultural and personal influences shaping this desire. In-depth life-history interviews were undertaken with 10 females who had extreme scores on the Drive for Muscularity Scale. Participants’ stories focused on a set of early social interactions, in which they were exposed to dominant social narratives of femininity. As a result, they felt pressured to comply with contemporary appearance-related gender norms. Such pressures often manifested in situations where their body was perceived to be outside of gendered contours. Participants’ narratives also identified the lack of control they had over their circumstances. In turn, participants revealed that they developed a strong desire to gain control over their situation and, as a result, they responded by ‘tightly controlling’ and shaping their corporeal self as per gendered expectations. However, through a range of problematic moments (e.g. relationship breakdowns), participants’ gendered ontological security became unsettled. Consequently, these disruptions prompted them to reconsider their relationship to embodiment and its connection to their circumstances. This realisation led to the emergence of a muscularity-focused coping strategy eventually leading to high levels of DFM. Findings reveal that, similar to men, women in this study also use muscle to cope with and negotiate life events.
EFFECT OF Trichoderma viride ON GERMINATION OF MUSTARD AND SURVIVAL OF MUSTARD SEEDLINGS

Mustard is a crop of great economic importance in India. India is one of the leading oil seed producing countries in the world. Mustard is the second important edible oil seed crop after groundnut. It accounts for 24.7 per cent of area (7.1 m ha) and 27.5 per cent of production (6.0 mt) with a productivity of 977 kg per ha. (Chhidda Singh et al., 2005). There is a lot of research being carried out to increase the yield of mustard. Efforts are also being made to transfer the useful trait to other related crops. Use of hybrid varieties is also in practice. ( Melchinger etal 1998, Becker etal 1999 and Miller etal 1999). But use of hybrid varies have problems of pest resistance associated. ISSN XXXX-XXXX www.ijlbpr. com Vol.1, Issue. 1, January 2012 © 2012 IJLBPR. All Rights Reserved
The Effectiveness of Mental Simulation Training on Educational Performance and Creativity of the Architecture Students in Therapeutic Spaces Design

The purpose of this study is to investigate the effect of teaching mental simulation strategies on academic performance and creativity of architecture students of Mohaghegh Ardabili University of Ardabil in the design of health clinics lesson. The research method was quasi-experimental with pre-test and post-test design with both trial and control groups. The statistical population was composed of all seven semester students who were studying architecture in Mohaghegh Ardabili University in the first semester of the academic year 1396-1397 that they were divided into two groups (each group was 15) that were randomly selected as the trial group and the control group. Tools used in this research were a questionnaire of academic performance, which was adapted from the Performance Measurement Questionnaire (EPT) Pham and Taylor, and Creativity Questionnaire, adapted from the Schaeffer Questionnaire for creativity assessment. Mental simulation trainings were presented for 5 sessions of 3 hours for the trial group. The control group did not receive any training. To analyze data we used ANCOVA covariance from inferential statistics to test the research hypotheses. Findings indicated that training mental simulation strategies improved the academic performance of students under the motivating factor (p <0.05), and on students' creativity have a significant effect under the factor of feeling of fantasy, so simulation strategies can be used to improve architecture students' academic performance and promote their creativity.
Evaluation of Tree-Based Machine Learning Algorithms for Accident Risk Mapping Caused by Driver Lack of Alertness at a National Scale

Drivers’ lack of alertness is one of the main reasons for fatal road traffic accidents (RTA) in Iran. Accident-risk mapping with machine learning algorithms in the geographic information system (GIS) platform is a suitable approach for investigating the occurrence risk of these accidents by analyzing the role of effective factors. This approach helps to identify the high-risk areas even in unnoticed and remote places and prioritizes accident-prone locations. This paper aimed to evaluate tuned machine learning algorithms of bagged decision trees (BDTs), extra trees (ETs), and random forest (RF) in accident-risk mapping caused by drivers’ lack of alertness (due to drowsiness, fatigue, and reduced attention) at a national scale of Iran roads. Accident points and eight effective criteria, namely distance to the city, distance to the gas station, land use/cover, road structure, road type, time of day, traffic direction, and slope, were applied in modeling, using GIS. The time factor was utilized to represent drivers’ varied alertness levels. The accident dataset included 4399 RTA records from March 2017 to March 2019. The performance of all models was cross-validated with five-folds and tree metrics of mean absolute error, mean squared error, and area under the curve of the receiver operating characteristic (ROC-AUC). The results of cross-validation showed that BDT and RF performance with an AUC of 0.846 were slightly more accurate than ET with an AUC of 0.827. The importance of modeling features was assessed by using the Gini index, and the results revealed that the road type, distance to the city, distance to the gas station, slope, and time of day were the most important, while land use/cover, traffic direction, and road structure were the least important. The proposed approach can be improved by applying the traffic volume in modeling and helps decision-makers take necessary actions by identifying important factors on road safety.
Co-citation and Co-authorship Networks of Statisticians

Abstract We collected and cleaned a large dataset on publications in statistics. The dataset consists of the co-author relationships and citation relationships of 83, 331 articles published in 36 representative journals in statistics, probability, and machine learning, spanning 41 years. The dataset allows us to construct many different networks, and motivates a number of research problems about the research patterns and trends, research impacts, and network topology of the statistics community. In this article we focus on (i) using the citation relationships to estimate the research interests of authors, and (ii) using the co-author relationships to study the network topology. Using co-citation networks we constructed, we discover a “statistics triangle,” reminiscent of the statistical philosophy triangle (Efron 1998). We propose new approaches to constructing the “research map” of statisticians, as well as the “research trajectory” for a given author to visualize his/her research interest evolvement. Using co-authorship networks we constructed, we discover a multi-layer community tree and produce a Sankey diagram to visualize the author migrations in different sub-areas. We also propose several new metrics for research diversity of individual authors. We find that “Bayes,” “Biostatistics,” and “Nonparametric” are three primary areas in statistics. We also identify 15 sub-areas, each of which can be viewed as a weighted average of the primary areas, and identify several underlying reasons for the formation of co-authorship communities. We also find that the research interests of statisticians have evolved significantly in the 41-year time window we studied: some areas (e.g., biostatistics, high-dimensional data analysis, etc.) have become increasingly more popular. The research diversity of statisticians may be lower than we might have expected. For example, for the personalized networks of most authors, the p-values of the proposed significance tests are relatively large.
Estimating energy interindustry linkages based on the Hypothetical Extraction Method (HEM) in China and USA

ABSTRACT Energy efficiency policies can help to reduce energy use and mitigate the effects of climate change. This paper examines the U.S. and Chinese economies by applying HEM to both. Key sectors absorbing more energy from other sectors by purchasing intermediate products from them and, simultaneously, transferring more energy by selling products to the rest of the sectors are identified. This provides insights for decision-making on appropriate energy efficiency policies. It appears that the U.S. economy should focus on the service sector, and the Chinese should focus on the industrial sector.
Comparison of the results of expert tibial nailing with results of distal tibial plating in patients with distal 1/3rd extraarticular tibial fractures

Background: The tibia constitutes one of two bones of the leg. Recently, minimally invasive percutaneous medial locked plating has been described in the literature with promising results. Expert Tibial Nail currently represents an effective approach to the treatment of complex extraarticular distal tibial fractures. Hence; the present study was undertaken for comparing the results of Expert Tibial nailing with results of Distal Tibial Plating in patients with Distal 1/3rd extraarticular Tibial Fractures. Materials & Methods: The study was conducted on 40 patients with extraarticular distal 1/3rd tibia fractures. All the patients were divided into two study groups randomly with 20 patients in each group as follows: Expert Tibial Nailing group, & Distal Tibial Plating group. All the patients underwent procedures according to their respective study groups. During the postoperative phase, static quadriceps exercises & toe movements, as tolerated were started from 1st postoperative day. Full weight-bearing was allowed after 10 to 12 weeks, depending on the radiographic signs of fracture healing. Patients were followed up for 6 months after operation and evaluated as per Johner and Wruss Criteria. Results: The mean age of the patients of the expert tibial nailing group and distal tibial plating group was 48.12 years and 49.71 years respectively.Mean operative time among the patients of the expert tibial nailing group was 83.15 minutes and was significantly lower in comparison to the patients of the distal tibial plating group (101.2 minutes). Mean intraoperative blood loss was compared between expert tibial nailing and distal tibial plating. Torniquet was used in all the cases. Mean intraoperative blood loss among the patients of the expert tibial nailing group was 51.6 ml and was significantly lower in comparison to the patients of the distal tibial plating group (89.1 ml). Mean postoperative weight-bearing time among the patients of expert tibial nailing was 8.95 weeks and was significantly lower in comparison to the patients of the distal tibial plating (14.35 weeks). Mean fracture union time among the patients of the expert tibial nailing group was 18.6 weeks and was significantly lower in comparison to the patients of the distal tibial plating group (25.84 weeks). Excellent results were obtained in 80 percent of the patients of the expert tibial nailing group and 55 percent of the patients of the distal tibial plating group respectively. Conclusion: The results of present study with expert tibial interlocking nailing are encouraging and demonstrate the benefits of new nailing system. Changes in the design of the nail for improved proximal and distal locking enable it to use in proximal and distal metaphyseal fractures of tibia.
Time- and Frequency-Domain Dynamic Spectrum Access: Learning Cyclic Medium Access Patterns in Partially Observable Environments

Upcoming communication systems increasingly often tackle the spectrum scarcity problem through the coexistence with legacy systems in the same frequency band. Cognitive Radio presents popular methods for Dynamic Spectrum Access (DSA) that enable coexistence. Historically, DSA meant a separation solely in the frequency domain, while in recent years it has been extended through the dimension of time, by employing Machine Learning to learn semi-deterministic and cyclic medium access patterns of the legacy system that are observed through channel sensing. When this pattern is learnable, then a new system can utilize a neural network and predict future medium accesses, thus steering its own medium access. We investigate this novel and more fine-grained version of DSA, propose a predictor and show its capability of reliably predicting future medium accesses of a legacy system in an aeronautical coexistence scenario. We extend the predictor to the case of partial observability, where only a narrowband receiver is available, s.t. observations are limited to a single sensed channel per time slot. In particular, we propose a custom loss function that is tailored to partially observable environments. In the spirit of Open Science, all implementation files are released under an open license.
Hydraulic function and conduit structure in the xylem of five oak species

Many plant lineages, including oaks (Quercus spp.), have both vessels and tracheids as hydraulically conductive cells within their xylem. The structure of these co-occurring conduit types and their contribution to plant hydraulic function have been relatively little studied. We hypothesized that vasicentric tracheids contribute to hydraulic function under conditions of low water availability. We predicted that within a species, oaks growing at drier and warmer low elevation sites would have more tracheids and be more embolism resistant compared to those growing at moister and colder higher elevation sites. We also predicted that across species, lower elevation oaks would have increased tracheid abundance within their xylem. Five oak species differed in many xylem traits, including vessel diameter and length, tracheid size and abundance, embolism resistance, and hydraulic conductivity. Tracheids were most abundant in the xylem of the highest elevation species at sites that receive winter snow and freezing temperatures. Vessels were relatively vulnerable to embolism as confirmed with multiple methods, including centrifuge vulnerability curves, micro-CT scans of native stem samples, and single vessel air injection. Theoretical conductivity calculations indicated that tracheids account for 5.7–15.5% of conductivity in hydrated stems, with tracheids likely increasing in importance as large diameter vulnerable vessels embolize. The occurrence of both vessels and vasicentric tracheids in the xylem of oaks may enable them to function within highly seasonal climates. Tracheids, though often overlooked, may be particularly important in maintaining conductivity throughout much of the year when water potentials decline from seasonal maximums and following freeze-thaw events.
Strategies in Retirement Fund Selection in the Mexican Retirement Market 1997-2018

Objective: This research studies individual investment strategies that can be employed by Mexican workers to choose a retirement savings company, to provide evidence that can guide workers and governments in their pursuit for a higher replacement rate. Methods: To accomplish such task, more than 200,000 individual decisions in rolling-windows are simulated, based on more than twenty-years of market prices on retirement funds in Mexico (1997-2018). Outcome: Results indicate that contrarian-based strategies dominate momentum-based strategies in three out of four categories of funds. Recommendations: Moreover, in two out of four categories of funds the highest return is reached by the system’s average, calling for the introduction of an ETF-type of product to the Mexican financial market. Originality: The novelty of this research resides in the perspective of the analysis, positioning the Mexican worker in the role of an investor making a financial choice. Conclusions: The maximum average return is the best way to select a retirement fund manager when there is a guaranteed minimum pension, which acts as a risk-hedge, as it is in the Mexican case.
Using citizen science to monitor non-native species: the case of Lethocerus patruelis (Stål, 1855) (Hemiptera: Belostomatidae) in Italy

Author(s): Lo Parrino, Elia; Tomasi, Filippo | Abstract: Findings of Lethocerus patruelis (Stal, 1855) in Southern Italy have become frequent in the last decades. We collected records of Lethocerus patruelis observations in Italy using scientific literature, citizen science programs, and social networks as data sources to create a complete and up-to-date dataset. This dataset is made of 59 Lethocerus patruelis observations from the Apulia, Basilicata, Calabria, and Abruzzi regions, 32 of which were previously unpublished, spanning from 1997 to 2020. Half of these records comes from biodiversity dedicated Facebook groups, citizen science programs and online forums, underlining the usefulness of unconventional data sources to gather data on species with poorly known distributions. The existence of Lethocerus patruelis viable populations in Italy remains unclear.n
Turbulent Channel Flow With Spatially Dependent Viscosity: A Numerical Study

In this study, we examine in detail the effect of spatially dependent viscosity on wall-bounded flow. For this purpose, direct numerical simulations (DNS) are performed considering a channel flow with a viscosity change along the streamwise direction. The DNS were performed using nek5000, a computational fluid dynamics code developed at Argonne National Laboratory. The channel is divided into three different regions: in the first one, the flow is at a constant Reynolds number of Re = 5000; in the second region, the Reynolds number is imposed to linearly increase as viscosity decreases through a ramp; and finally, in the third region, the flow is again at a constant Reynolds number, this time at Re = 10,000. Since the temperature field is not evaluated, the proposed setup is a simplification of a heated channel. Nevertheless, the outcomes of this study may be valuable for future works considering variable-viscosity effects, especially for cooling and heating applications. Four test cases with different ramp inclinations were analyzed. The results from this study were compared with a correlation available in the literature for the friction Reynolds number as a function of the Reynolds number. We observe that in all cases the ramp does not cause an immediate change in the characteristics of turbulent structures, and a delay is in fact observed in both wall shear and friction. Finally, in order to characterize and understand these effects, streaks from the viscous region and turbulence statistics for the turbulent kinetic energy (TKE) budget terms are analyzed.
Understanding the impact of mandatory accrual accounting on management practices: interpretation of Japanese local governments’ behavior

Accompanying the spread of “new public management” since the 1980s, accrual accounting and results-based management has become a global standard. However, whether accrual accounting results in successful outcomes and which drivers lead to the intended impacts of the reform have been contested. Given the mixed arguments in the literature, we set out two research questions: (1) “Have public sector organizations realized any positive impacts on management practices by adopting mandatory accrual accounting? ”; and (2) “What are the primary drivers of such impacts? ” To answer these questions, we examine the impact on management practices by analyzing a survey to ascertain how financial department officers in Japanese local governments perceive the benefits of adopting mandatory accrual accounting on management practices. The results indicate that they have so far not recognized the intended benefits, though they had expected higher benefits in internal control. Then, we use technical-rational, socio-political, and institutional isomorphic perspectives in a comprehensive approach to understand the impacts on management practices. The logistic analysis shows that financial managers in local governments that do not have a majority party in the assembly, but consist of several parties in power, as well as in those with greater financial dependence on the central government, perceive higher benefits. Further, we find that financial managers that imitate other local governments as a form of mimetic pressure perceive fewer benefits. The results show that some technical-rational tools, socio-political conditions, and institutional pressures change the perceived benefits for public managers of adopting mandatory accrual accounting. Points for practitioners We find that some technical-rational, socio-political, and institutional factors explain the intended internal benefits of the mandatory adoption of accrual accounting. In practice, financial managers in local government feel the merits of accrual accounting in less autonomy in not only politics, but also finance, and few mimetic conditions. It might be understood that difficult situations would drive practitioners to use mandatory information.
The Effectiveness of Using News in Mass Media as a Learning Media of Indonesian Language in SMK Students

The data source of this research is in the form of online data, namely 1. Online news 2. Non-online news that is applied at SMK. This research data in the form of words, phrases, clauses, and sentences contained in the news text as Indonesian learning media for vocational students. The data collection technique used is the note-taking technique. This study was analyzed using the referential equivalent method, referential equivalent with the hermeneutic approach, and read markers. Results of this study were found that, One, the data that was almost fulfilled in all aspects of the vocabulary and sentence building elements were only found in data 3, 7, and 8. Two, data were found, namely three parts, namely the discourse head, discourse contents and closing discourse. Three, in the study of news text symbol found only in BTBI Kemendibud class X and XI. For BTBI class XII, no symbol