Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel scheme for processing FMCW-ladar data acquired with low sampling rate

ABSTRACT The frequency-modulated continuous wave (FMCW) ladar is a useful sensor for remote sensing applications and has been widely used in both the military and civilian fields for precise geospatial data acquisition. Typically, the FMCW-ladar signal is collected by use of the heterodyne detection through the dechirping so as to decrease the sampling rate commensurate with the bandwidth. In this manuscript, we proposed a novel scheme for processing the FMCW-ladar signal acquired through the simplified heterodyne detection, and the sampling rate was the same as that in the dechirp detection. Based on the time–frequency relation of the FMCW-ladar signal, two algorithms were proposed to post-process the echo acquired by the simplified heterodyne detection with the sub-Nyquist sampling rate. For the FMCW-ladar echo data acquired by the simplified heterodyne detection with the same sampling rate as in the traditional dechirp detection, the algorithms can achieve the unambiguous range image retaining the range resolution commensurate with the transmitted chirp bandwidth. The effectiveness of the scheme was validated by simulation and real data processing experiments. The capability of the proposed scheme provides an alternative for the FMCW-ladar system without use of the dechirp detection, which can benefit the future FMCW-ladar and microwave photonics radar applications in the remote sensing.
Publish or Perish: An Analysis of the Academic Job Market in Italy

We derive a theoretical model of effort in the presence of career concern based on the multi-unit all-pay auction, and closely inspired by the Italian academic market. In this model, the number of applicants, the number of new posts, and the relative importance of the determinants of promotion determine academics' effort. Because of the specific characteristics of Italian universities, where incentives operate only through promotion, and where all appointment panels are drawn from strictly separated and relatively narrow scientific sectors, the model fits well Italian academia, and we test it in a newly constructed dataset which collects the journal publications of all Italian academics working in universities. We find that individual researchers respond to incentives in the manner predicted by the theoretical model: more capable researchers respond to increases in the importance of the measurable determinants of promotion and in the competitiveness of the scientific sector by exerting more effort; less able researchers do the opposite.
Predicting Young Adults’ Intentions and Involvement in Alcohol-Influenced Aquatic Activity

Globally, alcohol consumption is a public health issue and a risk factor for drownings among young adults. While studies have identified a prominence of alcohol in youth drownings, little is known about the factors that influence young adults’ involvement in alcohol-influenced aquatic activity. The current study aimed to identify the predictors of young adults’ intention to participate, and past participation, in alcohol-influenced aquatic activity. A reliable and valid survey, informed by the Theory of Planned Behavior, was distributed to young adults (aged 18-24 years) educated in the UK and Australia. Cumulative odds ordinal logistic regressions with proportional odds were conducted to establish predictors. Overall, 182 participants completed the survey. Subjective norms (Wald χ2 (2) = 8.43, p = . 015), cognitive attitudes (Wald χ2 (2) = 6.40, p = . 041) and previous involvement (χ2 (1) = 8.98, p = . 003) were significant predictors of intention, whilst the influence of friends (Wald χ2 (2) = 10.99, p = . 004) and intention (Wald χ2 (2) = 10.80, p = . 005) were significant predictors of behavior. Practitioners should enhance risk awareness and norm perceptions in prevention programs to encourage informed decision making in social aquatic situations.
Exploring Students’ Motivation In Tahfiz Class In Selected Private Islamic Secondary Schools: A Case Study

This research sought to explore the factors behind student motivation in the memorization of the Quran. A qualitative study through semi-structured interview with six participants selected from private islamic secondary schools. The findings showed that parents, teachers and the participants themselves influenced student motivation in the memorization of the Quran. The role of parental guidance and advice were the most influential factors leading to motivation among students in memorization of the Quran. Implications of this study, the students themselves and teachers were also sources of motivation to memorize. At the same time, teachers should always assist and help students in their memorization of the Quran. That way, students will feel more confident to continue their memorization. Therefore, this study can be helpful as a reference in lowering the gap on motivation in Quranic memorization. Hence, the researchers believe that this study will be much help for the other researchers to continue and elaborate more on the field of Quranic memorization concerning motivation.
Dopamine drives neuronal excitability via KCNQ channel phosphorylation for reward behavior.

Dysfunctional dopamine signaling is implicated in various neuropsychological disorders. Previously, we reported that dopamine increases D1 receptor (D1R)-expressing medium spiny neuron (MSN) excitability and firing rates in the nucleus accumbens (NAc) via the PKA/Rap1/ERK pathway to promote reward behavior. Here, the results show that the D1R agonist, SKF81297, inhibits KCNQ-mediated currents and increases D1R-MSN firing rates in murine NAc slices, which is abolished by ERK inhibition. In vitro ERK phosphorylates KCNQ2 at Ser414 and Ser476; in vivo, KCNQ2 is phosphorylated downstream of dopamine signaling in NAc slices. Conditional deletion of Kcnq2 in D1R-MSNs reduces the inhibitory effect of SKF81297 on KCNQ channel activity, while enhancing neuronal excitability and cocaine-induced reward behavior. These effects are restored by wild-type, but not phospho-deficient KCNQ2. Hence, D1R-ERK signaling controls MSN excitability via KCNQ2 phosphorylation to regulate reward behavior, making KCNQ2 a potential therapeutical target for psychiatric diseases with a dysfunctional reward circuit.
Expression of PD-1, PD-L1 and PD-L2 in Lymphomas in Patients with Pre-Existing Rheumatic Diseases—A Possible Association with High Rheumatoid Arthritis Disease Activity

Simple Summary Immunotherapy blocking programmed cell death protein 1 (PD-1) and its ligands (PD-L1, PD-L2) is less effective in non-Hodgkin lymphoma (NHL) than classical Hodgkin lymphoma. However, NHL is a heterogeneous group and current research seeks to identify subgroups of NHL patients responsive to PD-1 blocking agents. Whether patients with pre-existing rheumatic diseases might constitute such a subgroup is unknown. We investigated the expression of PD-1 and its ligands in lymphoma patients with pre-existing rheumatic diseases. Our key findings include that in patients with pre-existing rheumatoid arthritis (RA) and subsequent diffuse large B-cell lymphoma, an association between RA disease severity and increased expression of PD-L1 in tumor cells was seen. This warrants further studies of the PD-1 pathway in lymphoma in other chronic inflammatory conditions. Abstract Current research seeks to identify subgroups of non-Hodgkin lymphoma (NHL) patients responsive to PD-1 blocking agents. Whether patients with pre-existing rheumatic diseases might constitute such a subgroup is unknown. We determined intratumoral expression of PD-1 and its ligands in lymphoma patients with pre-existing rheumatic diseases. We included 215 patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE) or Sjögren’s syndrome with subsequent lymphoma and 74 diffuse large B-cell lymphoma (DLBCL) controls without rheumatic disease. PD-1 and PD-ligand immunohistochemical markers were applied on tumor tissue microarrays. The number of PD-1+ tumor infiltrating leukocytes (TILs) and proportions of PD-L1+ and PD-L2+ tumor cells and TILs were calculated and correlated with clinical data. Expression of PD-L1 in tumor cells and TILs was highest in classical Hodgkin lymphoma and DLBCL. In DLBCLs, expression of PD-1 in TILs and PD-L1 in tumor cells was similar in RA, SLE and controls. In RA-DLBCL, high expression of PD-L1 in tumor cells was significantly more common in patients with the most severe RA disease and was associated with inferior overall survival in multivariable analysis.
Chitosan-coated contact lens-based ophthalmic drug delivery system to manage Acanthamoeba keratitis: a preliminary hypothesis

Background: Acanthamoeba species can cause devastating contact lens (CL)-related microbial keratitis. Its culture is less sensitive, and little evidence is available for the safety or efficacy profile of medications. Therefore, early diagnosis and optimal treatment remain difficult. The aim of this study was to present the hypothesis that a novel chitosan-coated CL-based ophthalmic drug delivery system has therapeutic and prophylactic effects on acanthamoeba keratitis. Hypothesis: CL-based drug delivery is a popular sustained-release drug delivery that extends the drug release time, thus increasing its bioavailability and treatment efficacy. Chitosan, a derivative of chitin, has antioxidant and broad-spectrum antimicrobial properties against fungi, yeasts, and bacteria. It acts against microbial cells; however, whether its mechanism of action is microbiostatic or microbicidal remains unknown. It exhibits wound healing and film-forming properties. Chitosan composite films permit high transmittance of visible light, making it transparent and therefore desirable for the development of CLs. Chitosan/Ag/ZnO blend films exhibit antimicrobial activities. Further, soft CLs coated with chitosan, sodium hyaluronate, polylysine hydrobromide, and sodium alginate show drug delivery properties and reduced bacterial growth. Recently, concentration-dependent anti-amoebic activities of chitosan and nano-chitosan against the trophozoite and cystic forms of Acanthamoeba have been reported. Based on the existing evidence, we hypothesized that a chitosan-coated CL-based ophthalmic drug delivery system could have therapeutic and prophylactic effects on acanthamoeba keratitis or subsequent endophthalmitis. Conclusions: CLs or intraocular implants with chitosan-based nanocoatings alone or in combination with routine treatment may be preventive or therapeutic for acanthamoeba keratitis or endophthalmitis. Experimental studies and further clinical trials are required to explore the efficacy and safety profile. Moreover, randomized controlled trials in healthy eyes with soft or hard CLs or orthokeratology lenses for refractive error correction may shed light on the prophylactic effect of this novel drug delivery system. Other forms of ophthalmic drug delivery systems using chitosan-based nanocoatings should be studied additionally.
EFFECTS OF RAIL-HIGHWAY GRADE CROSSINGS ON HIGHWAY USERS

Basic research into effects of rail-highway grade crossings on highway users was conducted. The overall objective was to investigate improved techniques for estimating nonaccident effects, such as excess delay, user costs, direct energy consumption, and pollutant emissions. Numerical results also were desired. A microsimulation model is developed for analyzing delays due to train blockages at grade crossings not affected by other highway system bottlenecks. An analytic model is then developed to estimate effects of a vehicle slowing at grade crossings with no train present due to rough surface conditions. These models are validated to the extent possible based on field studies. A sensitivity analysis reveals that for most practical applications, train blockages can be analyzed more easily by using simple equations. A sample application of the method is presented in which 385 grade crossings are evaluated from which design options have been selected. The model developed for analyzing effects of a vehicle slowing with no train present is recommended for further applications, although more extensive validation studies are desirable. Numerical results indicate that nonaccident costs of grade crossings dominate accident costs in the ratio of about 3.5:1. The effects of a vehicle slowing with no train present dominate effects of train blockages in the ratio of about 2:1. The methods developed are felt to represent a significant improvement over earlier techniques for estimating highway-user effects. The methods can be applied to evaluation of alternatives such as rail relocations, construction of grade-separation structures, and crossing-surface improvements. Areas of further research are also identified. (Author)
O ALEITAMENTO MATERNO COMO EFEITO PROTETOR DA OBESIDADE INFANTIL – UMA REVISÃO BIBLIOGRÁFICA

O aumento gradativo de obesidade infantil vem marcando o cenário atual do perfil nutricional. Sua causa é multifatorial, sendo correlacionada com o Aleitamento Materno (AM). Prática, esta, recomendada até o sexto mês de forma exclusiva e introdução alimentar a partir desse período, conferindo benefícios para o desenvolvimento e crescimento do bebê. Investigar através de uma revisão bibliográfica o efeito protetor do aleitamento materno exclusivo até os seis meses e sua relação com a obesidade infantil. Foi elaborado com artigos científicos entre o período de 2012 e 2021, com a base de dados: Scielo, Google Acadêmico, PubMed, LILACS, BMC Public Health, Brazilian Journals, Internacional Journal of Obesity, além de trabalhos de conclusão de curso e dissertações elaborados por acadêmicos da área. Considerando diferentes metodologias, os estudos mostraram algum tipo de interação do AM com a obesidade infantil, desenvolvendo um fator de proteção ao seu desenvolvimento. A autorregulação da ingestão do leite pode provocar imprinting metabólico, além, do equilíbrio dos componentes ofertados ao bebê, cuja fórmula infantil, possui doses mais altas de proteína, causando um maior crescimento. Considera-se necessário o estímulo às Unidades Básicas de Saúde na implantação de políticas públicas para o tratamento da obesidade infantil, e o incentivo ao AM.
Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study

Background: The family environment plays a crucial role in child physical activity (PA). Wearable activity trackers (wearables) show potential for increasing children’s PA; however, few studies have explored families’ acceptance of wearables. This study investigated the acceptability of using wearables in a family setting, aligning experiences with components of the Technology Acceptance Model and Theoretical Domains Framework. Methods: Twenty-four families, with children aged 5–9 years, took part in a 5-week study, where all members were provided with a Fitbit Alta HR for 4 weeks. Acceptability was measured using weekly surveys and pre-post-questionnaires. Nineteen families participated in a focus group. Quantitative and qualitative data were integrated using the Pillar Integration Process technique. Results: Pillars reflected (1) external variables impacting wearable use and PA and (2) wearable use, (3) ease of use, (4) usefulness for increasing PA and other health outcomes, (5) attitudes, and (6) intention to use a wearable, including future intervention suggestions. Conclusions: Families found the Fitbit easy to use and acceptable, but use varied, and perceived impact on PA were mixed, with external variables contributing towards this. This study provides insights into how wearables may be integrated into family-based PA interventions and highlights barriers and facilitators of family wearable use.
Intercropping of Leguminous and Non-Leguminous Desert Plant Species Does Not Facilitate Phosphorus Mineralization and Plant Nutrition

More efficient use of soil resources, such as nitrogen (N) and phosphorus (P), can improve plant community resistance and resilience against drought in arid and semi-arid lands. Intercropping of legume and non-legumes can be an effective practice for enhancing P mineralization uptake, and plant nutrient status. However, it remains unclear how intercropping systems using desert plant species impact soil-plant P fractions and how they affect N and water uptake capacity. Alhagi sparsifolia (a legume) and Karelinia caspia (a non-legume) are dominant plant species in the Taklamakan Desert in Xinjiang Province, China. However, there is a lack of knowledge of whether these species, when intercropped, can trigger synergistic processes and mechanisms that drive more efficient use of soil resources. Thus, in a field experiment over two years, we investigated the impact of monoculture and intercropping of these plant species on soil-plant P fractions and soil-plant nutrients. Both plant species’ foliar nutrient (N, P, and K) concentrations were higher under monoculture than intercropping (except K in K. caspia). Nucleic acid P was higher in the monoculture plots of A. sparsifolia, consistent with higher soil labile P, while metabolic P was higher in monoculture K. caspia, associated with higher soil moderately labile Pi. However, both species had a higher residual P percentage in the intercropping system. Soils from monoculture and intercropped plots contained similar microbial biomass carbon (MBC), but lower microbial biomass N:microbial biomass phosphorus (MBN:MBP) ratio associated with reduced N-acetylglucosaminidase (NAG) activity in the intercropped soils. This, together with the high MBC:MBN ratio in intercropping and the lack of apparent general effects of intercropping on MBC:MBP, strongly suggest that intercropping improved microbe N- but not P-use efficiency. Interestingly, while EC and SWC were higher in the soil of the K. caspia monoculture plots, EC was significantly lower in the intercropped plots. Plants obtained better foliar nutrition and soil P mineralization in monocultures than in intercropping systems. The possible positive implications of intercropping for reducing soil salinization and improving soil water uptake and microbial N-use efficiency could have advantages in the long term and its utilization should be explored further in future studies.
Big Data di Perpustakaan dengan Memanfaatkan Data Mining

Artikel ini membahas tentang bigdata dalam perpustakaan dan manfaatnya jika diolah. Hasil dari penelitian ini adalah data yang ada di dalam perpustakaan dapat disebut sebagai bigdata jika memenuhi 3 karakteristik dari big data yaitu volume, velocity, dan variety. Big data kemudian bisa diolah menggunakan data mining, salah satunya dengan menggunakan asosiasi dimana akan menghasilkan keterkaitan antar barang. Jika dalam perpustakaan big data-nya adalah data peminjaman berarti dapat menghasilkan keterkaitan antar koleksi yang dipinjam. Para pustakawan khususnya dapat menentukan tindakan selanjutnya dari hasil informasi yang didapatkan melalui hasil pengolahan big data ini. Sehingga diharapkan akan berperan dalam kemajuan sebuah perpustakaan.
Framing Climate Change in the 5th Estate: Comparing Online Advocacy and Denial Webpages and Their Engagement

Debates about anthropogenic climate change grew increasingly polarized as online channels emerged as primary news sources. This raises the question of how online media shape the perceived salience of climate change issues. Guided by agenda-setting theory and framing theory, this study utilized topic modeling to examine online climate change advocacy and denial webpages posted from 2007–2019. Engagement with media agendas, public agendas, and framing related to climate change were examined. Advocacy webpages were more engaging than denial webpages. The more frequently that a climate change topical frame was covered by online media, the more likely it would be engaged on social media (SM). Climate change topical frames differed in their ability to engage SM users. Several competing climate change advocacy and denial topical frames differed significantly in SM engagement. Results can help researchers to design effective climate change campaigns as well as develop programs to track and combat online misinformation.
Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation

The multiplayer online battle arena (MOBA) games have become increasingly popular in recent years. Consequently, many efforts have been devoted to providing pregame or in-game predictions for them. These predictions can be used in many MOBA esports-related applications, such as artificial intelligence commentator systems, in-game data analysis, and game-assistant bots. However, these works are limited in the following two aspects: the lack of sufficient in-game features and the absence of interpretability in the prediction results. These two limitations greatly restrict the practical performance and industrial application of the current works. In this work, we collect a large-scale dataset containing rich in-game features for the popular MOBA game Honor of Kings. We then propose to predict four types of prediction tasks in an interpretable way by attributing the predictions to the input features using two gradient-based attribution methods: Integrated Gradients and SmoothGrad. To evaluate the explanatory power of different models and attribution methods, a fidelity-based evaluation metric is further proposed. Finally, we evaluate the accuracy and fidelity of several competitive methods to assess how well machines predict events in MOBA games.
In Silico Analysis Identifies Upregulated lncRNA DLGAP1-AS1 Which Is Correlated to Poor Prognosis and Promotes Cell Proliferation in Glioblastoma

Long noncoding RNAs have been reported to regulate the tumorigenesis, growth, and metastasis of glioblastomas. In this study, we identified 1623 differently expressed mRNAs and 38 lncRNAs utilizing the CGGA and TCGA databases. Among these mRNAs and lncRNAs, we focused on DLGAP1-AS1 in this study. The results demonstrated that DLGAP1-AS1 was higher in WHO IV glioma than in WHO II and WHO III gliomas, higher in WHO III glioma than in WHO II glioma samples, higher in IDH1 wildtype glioma than in IDH1-mutant glioma samples, and higher in 1p/19q noncodeletion glioma than in 1p/19q codeletion glioma samples. Moreover, we observed that higher expression levels of DLGAP1-AS1 were correlated to shorter OS time in both low-grade and high-grade gliomas. Next, we evaluated the function of DLGAP1-AS1 in GBM using in vivo experiments. The data revealed that DLGAP1-AS1 knockdown greatly hindered U87 cell and U251 cell proliferation. Using coexpression network analysis, we identified that ATG4A was a potential downstream target of DLGAP1-AS1. The further analysis showed that ATG4B was significantly upregulated and correlated to shorter OS time in gliomas using both the CGGA and TCGA databases. Finally, we showed that ablated ATG4B greatly hindered GBM cell proliferation. Our conclusion suggested that DLGAP1-AS1 may be a potential prognosis biomarker and facilitated the occurrence and development of glioma via ATG4A in GBM.