Miracle-dz/UniFAR-FTUs huggingface dataset:
How COVID-19 Pandemic Lockdown Has Affected Sports Practice

The recent pandemic generated by COVID-19 has changed how sports are habitually practised, necessitating a form of at-home sport to enable practitioners to continue exercising and training. This also touches upon how sports are ‘delivered', with home-based consumers having control over the times, ways and spaces given to sport, as transmitted by digital means. During lockdown, opportunities to take advantage of apps and content and/or follow online lessons on social networks notably intensified. These changes in sports practice generate a series of research objectives, to determine: how digital media has created a new environment for socializing and sports practice;how digital devices are used to play home sports;and which players encourage people to exercise at home. With these objectives in mind, a two-phase research was launched at the SapienzaSport centre. The first questioned a group of about 600 practitioners, with a relatively high cultural and socioeconomic level along with access to digital opportunities, to investigate their sports habits during lockdown. The goal was to focus on those not negatively affected by the digital divide. The second phase aimed at studying the subsequent implications, starting from September 2020 (when sports-related activities resumed in Italy), while understanding whether and in what way doing physical activity had changed. In this paper we report and analyse the main results. © 2021. All Rights Reserved.
Towards a decision support system for radiotherapy business continuity in a pandemic crisis

ABSTRACT The business continuity of radiotherapy practice is of utmost importance for a safe, effective and efficient fight against cancer. Patients rely on uninterrupted therapies even under adverse conditions. The COVID-19 pandemic has caught many radio- therapy institutions unprepared. Centers worldwide had to find ways to master the extraordinary challenges instantly. However, the lack of knowledge, specific guidelines and mitigation strategies exposed radiotherapy centres to unpredictable risks. Intelligent information systems can support the management of severe incidents. The aim of our research was to develop a decision support system that shall help to maintain safe, sustainable and efficient radiotherapy services in pandemic situa- tions. In this work, we present a text-based conversational agent that informs about mitigation measures for radiotherapy practice during a pandemic crisis.
ATTITUDES TOWARD LEARNING PREFERENCE:THE RELATION WITH PERSONALITY

In this study, 106 women (M age = 23 years) completed a series of questionnaires online assessing personality traits and facets (subscales), learning preferences (Activist, Reflector, Theorist, Pragmatist), and attitudes toward learning preferences.The vast majority of participants in this study believed that students are more likely to have academic success when teaching and learning strategies match their learning style. However, the results of several hierarchical regression analyses found that a large proportion of variance in learning style was accounted for by personality traits or facets. For example, 43% of the variance in the Activist Learning Style was accounted for by higher scores on Extraversion, and lower scores on Conscientiousness and Negative Emotionality. When personality facet scores were used as predictors, the proportion of variance jumped to 55%. Similarly, between 27-31% of the variance in Reflector, Theorist and Pragmatist Learning Style was accounted for by personality facet scores alone. The results are discussed in terms of learning style attitudes and myths pervasive in the literature, and the need for evidence-based practices.
Automated Design Approximation to Overcome Circuit Aging

Transistor aging phenomena manifest themselves as degradations in the main electrical characteristics of transistors. Over time, they result in a significant increase of cell propagation delay, leading to errors due to timing violations, since the operating frequency becomes unsustainable as the circuit ages. Conventional techniques employ timing guardbands to mitigate aging-induced delay increase, which leads to considerable performance losses from the beginning of the circuit’s lifetime. Leveraging the inherent error resilience of a vast number of application domains, approximate computing was recently introduced as an aging mitigation mechanism. In this work, we present the first automated framework for generating <italic>aging-aware approximate circuits</italic>. Our framework, by applying directed gate-level netlist approximation, induces a small functional error and recovers the delay degradation due to aging. As a result, our optimized circuits eliminate aging-induced timing errors. Experimental evaluation over a variety of arithmetic circuits and image processing benchmarks demonstrates that for an average error of merely <inline-formula> <tex-math notation="LaTeX">$5\times 10^{-3}$ </tex-math></inline-formula>, our framework completely eliminates aging-induced timing guardbands. Compared to the respective baseline circuits without timing guardbands (i.e., iso-performance evaluation), the error of the circuits generated by our framework is <inline-formula> <tex-math notation="LaTeX">$1208\times $ </tex-math></inline-formula> smaller.
GOVERNANCE AND SUSTAINABLE FOREST MANAGEMENT IN GHANA AN ASSESSMENT OF THE VOLUNTARY PARTNERSHIP AGREEMENT

This study to assess the role of governance systems in sustainable forest practices in Ghana using the experience of the Voluntary Partnership Agreement. It was underpinned by four main objectives: rationale for Ghana’s ratification and obligations inherent in the Voluntary Partnership Agreement VPA; the institutional structures for implementing the VPA in Ghana; VPA enforcement and forest sector trade; and constraints in the VPA enforcement process. The policy arrangement approach and complexity of joint actions provided the theoretical framework for the study. The qualitative approach within the interpretivist research paradigm was employed for the study. Essentially, the VPA was ratified as a way of speeding up good governance process in the forestry sector of Ghana, promoting sustainable management of forest resources, enhancing and sustain the trade relationship with the EU. Meeting the requirements of the VPA has led to the institutionalization of relevant structures and mechanisms within and beyond the Forestry Commission including the use of technology-enhanced tracking and independent monitor for counter verifications which helps in detection of illegal wood harvesting. The VPA together with the established enforcement structures has had far reaching positive implications on the forest sector which are discussed in the study. The study, however, observed some challenges which affect the full realization of the expected benefits associated with the VPA. The study concludes that a policy even if originates from external source is more likely to be embraced if it does not challenge but feeds into government’s prevalent activities, the legitimacy of that agreement/policy and enforcement remains higher. Secondly, the VPA is an external mechanism which has been localized and infused with ongoing projects to provide novel and innovative mechanisms for supporting Ghana’s desires and quest to manage forests better, improve peoples’ livelihoods, and protect natural resources. The study makes recommendations which includes the use of stakeholder consultations and workshops to help to address inter-agency coordination problem which will help optimize the enforcement of the VPA.
COGNITIVE AND MOTIVATIONAL DETERMINANTS OF INTUITION

The objective of the study was to identify cognitive and motivational components of intuition. The methodology was based on the meaning system, which enables identifying cognitive variables involved in a specific cognitive act, and on the cognitive orientation (CO) theory which enables assessing cognitions supporting specific behaviors. The hypotheses were that the findings would enable identifying cognitive and motivational variables unique for intuition. We expected that the cognitive and motivational variables separately would predictintuition and that both together would enable a better prediction than each separately. A set of cognitive variables related to intuition was identified and accounted for 29.2% of the variance. It included variables indicating interpersonally-shared and personal meanings, attending to overall general contexts and specific details, to the abstract and the concrete. The four belief types of the CO predicted intuition and accounted for 30.4% of the variance. The four types referred to the themes concerning emotions, opening-up, fast solutions, comprehensive view, and self reliance.Both sets of the cognitive and motivational variables together accounted for 39.19% of the variance. The findings show that both cognition and motivation contribute to intuition and need to be considered for predicting intuition, assessing it, and intervening for its improvement.
An Ultrawideband High-Efficiency Rectifier Based on Harmonic Feedback Topology

With the rapid and extensive development of wireless communication and low power electronics, electromagnetic wireless power harvesting (WPH) draws more and more attention. As the core component for RF-to-DC power conversion, its characteristics determine the performance of the overall WPH system. To obtain as much dc energy as possible, ambient electromagnetic energy with various frequencies should be efficiently rectified. Therefore, it is important to widen the operating bandwidth of the rectifier. According to the theoretical analysis of the Schottky diode, it can be found that if the harmonic components generated by the diode can be fed back through a specific approach for rectifying, the bandwidth of the rectifier will be effectively improved. Therefore, a broadband rectifier has been proposed based on the previous principle. For validation, a wideband rectifier based on Schottky diode SMS7630 had been designed, fabricated and measured. When the input power level is 0 dBm, the conversion efficiency of the implemented rectifier is larger than 40% from 0.4 to 2.6 GHz within a relative bandwidth of 146.67%, exhibiting an ultrawide bandwidth compared with existing state-of-the-art configurations.
Function study of cotton GbSTK gene in regulating flowering and Verticillium wilt resistance

Cotton is an important cash crop, and achieving disease resistance as well as early maturity is an important breeding goal. However, the molecular relationship between disease resistance and early maturity of cotton is still a research gap. In previous study, we identified a GbSTK gene response to V. dahliae that could enhance Verticillium wilt resistance in transgenic Arabidopsis. In this study, we found that GbSTK was more highly expressed in resistance and/or tolerant varieties than in susceptible varieties. Knocking down of GbSTK expression in Nongda 601 showed that the silenced plants displayed serious disease symptoms, with disease index from 27.5 (tolerant) to 63.2 (susceptible), suggesting that GbSTK positively regulates cotton Verticillium wilt resistance. More interesting, we found that GbSTK could promote the development of Arabidopsis. At the flowering time point, the average number of rosette leaves in transgenic lines was 7.5, significantly less than the mock plants, and the transgenic plants bloomed five to seven days earlier than the control. The FT and SOC1 gene, regarded as marker genes in Arabidopsis flowering signaling pathway, maintained higher expression level in transgenic lines than in the mock, indicating that GbSTK could accelerate flowering via regulating FT and SOC1 gene expression. We also obtained 30 candidate proteins that could interacted 第 1期 崔静等: 棉花 GbSTK基因调控开花和黄萎病抗性的功能研究 31 with GbSTK via yeast double hybrid test, which helped to further revealing the molecular regulatory network of GbSTK. Taken together, we first identified a functional gene that could improve disease resistance and early flowering, which would provide a reference for genetic improvement of cotton disease resistant and early maturity.
Antioxidant defense system responses, lysosomal membrane stability and DNA damage in earthworms (Eisenia fetida) exposed to perfluorooctanoic acid: an integrated biomarker approach to evaluating toxicity

Perfluorooctanoic acid (PFOA) is one of the most representative perfluoroalkyl substances and has garnered intense human and ecological health concerns due to its ubiquity in the environment, bio-accumulative nature and potential toxicological effects. In this study, an artificial soil containing PFOA was used to evaluate the biological toxicity of PFOA to earthworms Eisenia fetida. Six kinds of oxidative stress biomarkers, including superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione S-transferase (GST), reduced glutathione (GSH) and lipid peroxidation (LPO), as well as lysosomal membrane stability (LMS) and DNA damage in earthworms were detected after exposure to 0, 10, 20, 40, 80 and 120 mg kg−1 PFOA in the soil for 3, 7, 14, 28, and 42 days. The results of multi-biomarker responses indicated that PFOA can induce various adverse effects on earthworms, including growth inhibition, oxidative stress and genotoxicity, resulting in lipid membrane peroxidation, decreased lysosomal membrane stability and DNA damage. LPO, LMS and DNA damage all presented dose- and time-dependent relationships. An integrated biomarker response (IBR) index was applied to summarize the multi-biomarker responses to star plots, and the IBR value was calculated as the area of the plots to indicate the integrated stress of PFOA on earthworms. The IBR index showed that the integrated stress induced by PFOA increased markedly throughout the exposure period, exhibiting a concentration-related and exposure time-related effect. The graphical changing trend of the IBR star plots, along with the multi-biomarker responses, suggested that the biomarkers of the antioxidant defense system in earthworms are sufficiently sensitive for short-term PFOA biomonitoring programs, while the bioindicators that indicate actual damage in organisms are more suitable to be employed in long-term monitoring programs for the risk assessment of PFOA. This is the first study evaluating the biological toxicity of PFOA by using an integrated biomarker approach. Our results showed that PFOA can potentially damage soil ecosystems, which provides valuable information for chemical risk assessment of PFOA in the soil environment and early warning bioindicators of soils contaminated by PFOA.
Robust Multispectral Visual-Inertial Navigation With Visual Odometry Failure Recovery

Besides the large amount of information multispectral imaging offers, multispectral visual odometry remains overlooked due to the dissimilarity between modalities. In order to tackle the challenging feature matching between multispectral stereo images and to overcome the lack of robust multispectral visual localisation solutions, a novel approach is proposed in this paper. It consists in tracking features in each modality simultaneously, in a monocular manner and then, estimating motion in a windowed bundle adjustment framework and using the geometry of the stereo setup to recover the missing scale. The estimation is robustified by selecting adequate keyframes based on feature parallax and by maximising the mutual information between all the features reprojected in the stereo pair. Furthermore, the proposed multispectral visual odometry solution is integrated in an error-state Kalman filter framework to deal with challenging environments, where the quality of images is reduced. Two measurements models, using absolute and relative camera poses, are presented. The superiority of relative poses is then shown by providing a failure recovery algorithm which relies on inertial data when visual data are not accessible. The algorithm was tested on innovative series of visible-thermal multispectral datasets, acquired from a car with real driving conditions. An overall error of around 2% of the travelled distance was achieved on these datasets.
Automatic Pre-Processing of Marathi Text for Summarization

The text summarization is a technique where the original large text is condensed into smaller version without changing its abstract meaning. The text summarization is done on the common foreign and regional languages typically, but infrequent work has been observed for the Marathi language. As the amount of e-contents on web is increasing drastically, the users are facing difficulty to read the newspaper articles with extraction of its different perspectives with sorting. We are focussing on educational, Political and sports news for summarization, which will be helpful for students who are appearing for competitive exams. This paper explores the preprocessing techniques for Marathi e-news articles.
Estimation of the Transferred Power in LCC Compensated Wireless Power Transmitters With the Use of PWM-Synchronized Sampling Technique

In this article, a new technique of synchronized sampling to estimate the transferred power in wireless power transfer (WPT) systems is proposed. Defining demand factor as a criterion linking unknown receiver parameters to the transferred power, it can be estimated by measuring the front-end variables of the transmitter LCC compensating network. Moreover, with the use of this technique, one does not need to know how the mutual inductance or load varies. As the demand factor is directly linked to the transferred power, the estimation of the demand factor can be considered as an increasingly effective way to control the flow of power in WPT systems. To prove the validity of this approach, a WPT system equipped with an LCC network to compensate the transmitter, and a series capacitor to compensate the receiver, is experimentally built and tested, and the results show a close consistency between the measured demand factor and the transferred power.
First Report of New Delhi Metallo-β-Lactamase-1 (NDM-1) Among Escherichia Coli Strains Isolated from Leukemia Patients in Iran

Background: Escherichia coli has appeared as an important opportunistic pathogen responsible for nosocomial infections in Patients with immunodeficiency particularly in leukemia patients. New Delhi metallo-β-lactamase (NDM-1) is an enzyme that class of beta-lactam antibiotics and is used in treatment of multi-drug resistant (MDR) infections. Case Presentation: In this study, 80 isolates of Escherichia coli and Klebsiella pneumoniae collected over the course of two years from two medical centers of Tehran, Iran. Production of carbapenemase was detected of the isolates using MHT. New Delhi metallo-beta-lactamase 1 (blaNDM-1) genes were detected by polymerase chain reaction (PCR) ampliﬁcation with speciﬁc primers 2 blaNDM-1 producing E.coli strains were isolated from 2 leukemia of patients, The isolates were resistant to carbapenems (imipenem, meropenem),two isolates were positive for carbapenemase production by Modified Hodge test.Conclusions: The emerging of NDM-1 producing E. coli is a threat for leukemia patients in Oncology and hematology departments. We concluded that the incidence of MDR pathogens increased amang patients with leukemia and is life threatening.
Pattern of Suicidal Deaths in Females- A Cross Sectional Study in the Age Group of 12-24 Years

Background: Suicide is the fourth leading cause of death among young males and the third for young females, globally. Suicide affecting the youth is a big loss to the community. Hence, the aim of this study is to identify pattern of suicidal deaths in females belonging to 12-24 years age group.Methods: A cross sectional study was conducted in the Department of Forensic Medicine, Gandhi Medical College, Secunderabad, which included all the deaths that occurred due to suicide in females aged 12-24 years from January 2017 to November 2018. Results: Most victims belonged to the age group of 19-24 years (49%) and were from rural area (60%). Majority attempted suicide during day time (72%) and inside their own homes (89%). In 91% of the cases, there was no history of previous attempt and in 92%, no suicide note was found. 55% of deaths occurred on the spot. Most common method of suicide was hanging (53%). Conclusion: Suicide is a growing public health concern amongst the young. Peer support groups for adolescents and young adults, who have exhibited suicidal behaviours, must be established to help prevent repeated attempts.
Acupuncture for amnestic mild cognitive impairment (aMCI): study protocol for a pilot multicenter, randomized, parallel controlled trial

Background: Patients with amnesic mild cognitive impairment (aMCI) are more likely to develop Alzheimer's disease (AD) than corresponding age normal population. Because AD is irreversible, early intervention for aMCI patients seems important and urgent. We have designed a pilot multicenter, randomized, parallel controlled trial to assess the efficacy and safety of acupuncture on aMCI, and explore the feasibility of acupuncture in the treatment of aMCI, so as to provide a reference for large-sample clinical trials in the next stage. Method: We designed a pilot multicenter, randomized, parallel controlled trial. This trial aims to test the feasibility of carrying out a large-sample clinical trial. In this trial, 50 eligible patients with aMCI will be included and allocated to acupuncture group (n = 25) or sham acupuncture group (n = 25) at random. Subjects will accept treatment 2 times a week for 12 weeks continuously, with a total of 24 treatment sessions. We will select six acupoints (GV20, GV14, bilateral BL18 , bilateral BL23). For the clinical outcomes, the primary outcome is Montreal cognitive assessment (MoCA), which will be assessed from baseline to the end of this trial. And the secondary outcomes are Mini-mental State Examination (MMSE), Delayed Story Recall (DSR), Clinical Dementia Rating scale (CDR), Global Deterioration Scale (GDS), Activity of Daily Life (ADL), Alzheimer's Disease Assessment Scale-Cognitive Section (ADAS-cog), brain Magnetic Resonance Imaging (MRI) , brain functional Magnetic Resonance Imaging (fMRI) and Event-related potential (ERP) P300, which will be assessed before and after treatment. In addition, we will asses the safety outcomes from baseline to the end of this trial and feasibility outcome after treatment. We will evaluate neuropsychological assessment scale (MoCA, MMSE, ADAS-cog) at 3 months and 6months after treatment. Discussion: This pilot trial aims to explore the feasibility of the trial, and verify essential information of its efficacy and safety. This pilot study will provide a preliminary basis for carrying out a larger clinical trial of acupuncture on aMCI in near future. Trial registration: Chinese Clinical Trial Registry , ChiCTR1900021557. Registered on 27 February 2019, http://www.chictr. org.cn/showproj.aspx? proj=35460. Keywords: amnestic Mild Cognitive Impairment , Acupuncture, Clinical trial
A 16b 120MS/s Pipelined ADC Using an Auxiliary-Capacitor-Based Calibration Technique Achieving 90.5dB SFDR in 0.18 μm CMOS

A 16-bit 120 MS/s sample-hold-amplifier-less(SHA-less) pipelined analog-to-digital converter (ADC) with an on-chip calibration technique in a $0.18~\mu \text{m}$ CMOS process is presented. A switched capacitor circuit with an auxiliary unit capacitor in the multiplying-digital-to-analog converter (MDAC) of the first stage is proposed. The auxiliary-capacitor based calibration technique eliminates the need for a dedicated reference buffer to generate the calibration voltages at all the comparator thresholds. By switching the auxiliary capacitor and doing some simple calculation work, all the capacitor mismatches in the first and second stages are corrected in the digital domain, thereby significantly improving the ADC performance. Measurement results show that, with 70.1 MHz input, the signal-to-noise-and-distortion-ratio (SNDR) is improved from 75.5 dB to 77.8 dB, and the spurious-free-dynamic-range (SFDR) is improved from 81.9 dBc to 90.5 dBc with the proposed calibration technique.