bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social gaze training for Autism Spectrum Disorder using eye-tracking and virtual humans
Authors: Grynszpan Ouriel , Bouteiller Julie , Grynszpan Séverine , Martin Jean-Claude , Nadel Jacqueline 
Published: October 2022

Abstract

Background: Individuals with Autism Spectrum Disorder (ASD) have pronounced difficulties in attending
to relevant visual information during social interactions. Method: We designed and evaluated the feasibility of a
novel method to train this ability, by exposing participants to virtual human characters displayed on a screen which was entirely
blurred, except for a gaze-contingent viewing window that followed participants’ eyes direction. The goal was to incite
participants to direct their gaze towards the facial expressions of the virtual characters. Twenty-one adolescents with ASD who
attended ordinary school were randomized to either an experimental group, who was trained during a month and a half, or to a
control group. Social communicative abilities were assessed during pre, post and follow-up tests. Results: After
training, the experimental group showed significantly more interest in facial expressions on a test which involved understanding a
dialogue. Significant differences were not found for the other tests used. Conclusions: This outcome suggests that
the training method fostered participants’ awareness of the relevance of facial expressions.
Analysis of deforestation as impact of changes on oil palm land use in Tanah Bumbu Regency, South Kalimantan using satellite remote sensing data
Authors: Rasyidah Annisa Nur , Astuti Ike Sari , Carolita Ita 
Published: October 2022

Abstract
Analysis of deforestation using remote sensing satellite imagery is carried out for monitoring and as an effort to reduce deforestation rates to maintain the ecological function of the forest. One of the causes of deforestation are land clearing and land conversion. Based on BPS data in 2020th, the forest area is decreasing and the area of oil palm is increasing every year. This research was conducted in Tanah Bumbu Regency, the data used were Landsat 7 ETM+ and Landsat 8 OLI/TIRS images. The method used is a guided classification with Support Vector Machine (SVM). Analysis of deforestation uses the results of image processing classification in time series by taking into account the reduction of forest that occurs every year. Based on the results of image classification in 2010th using SVM, forest has an area of 2161.1 km2 and oil palm is 1063.6 km2. Both of these land uses underwent changes in 2020th with forest area experiencing a reduction of 1493.42 km2 and oil palm having an additional area of 865.62 km2. The classification results have an overall accuracy value of above 80% and a kappa accuracy of 78%. The results of the analysis show that there is a relationship between the incidence of deforestation and the expansion of oil palm land. Based on the results of the regression analysis, R2 = 0.95 with a change value of 935.42 km2.
Sustainable Energy Business Model and Strategies for Marketing of Clean Energy Products in Rural Areas of India
Authors: Das Shiv Sankar , Nayak Bijaya Bijeta , Behera Debashree Debadatta , Sahu Rita Kumari , Sahu Sasmita , Giri Soumya Ranjan 
Published: October 2022

Abstract
Our world’s problem can be resolved with the use of energy. Energy is the fundamental structure for economic development of any area, state, or a country. In today’s world, energy access is a relevant issue. Availability of energy is required to improve health, agricultural productivity, and educational outcomes. The increased need for energy has led to a reliance on large-scale fossil fuel extraction and use. As a result, environmental degradation, pollution, and ecological imbalance have occurred. In order to find a solution, clean energy is vital. As a result, focusing on the shift from conventional to clean energy sources is critical. "Clean energy" is obtained mostly from non-polluting, zero-emission sources, as well as energy conserved via efficiency improvements. Access to clean energy can aid in the development of rural tribal communities. This paper focuses on a case analysis where sustainable energy business model was devised. The paper is divided into three segments. The first segment focuses on the introduction to clean energy, clean technology and clean energy products. Second segment focuses on the sustainable energy business model in rural areas of South Odisha, where a Digital Business Centre (DBC) was established. Finally the third segment focuses on the strategies for marketing of clean energy products and an Entrepreneurial-cum-SHG Model. Methodology/design/approach: In this study, a descriptive case technique was employed, and instances were purposefully chosen. Data was gathered to better comprehend the theoretical ideas of actors, factors, and their relationships, as well as to create the conceptual framework. The framework’s applicability was tested using an action research approach (partial intervention in the ecosystem). Findings: Variety of players and variables were identified, and their relationships were established. Originality/value- An innovative strategy to clean energy intervention for income generation was established and a sense of entrepreneurial attitude was also developed.
Optimization of Renewable Energy Resource- A Review
Authors: Sharma Vijay Prakash , Somwanshi Devendra Kumar , Jain Kalpit , Satankar Raj Kumar 
Published: October 2022

Abstract
Bit by bit the energy demand is extending and thusly the necessities for a sustainable source that won’t hurt the environment are of prime importance. A couple of projections express that by 2050 the energy solicitation will essentially increment. Anyway larger piece of the energy necessities is satisfied by oil subordinates yet by the use of harmless to the ecosystem power structures could help in giving the energy demands. As we as a whole realize that sustainable power is the energy which is either created by the climate or directly from the sun or from heat delivered significant inside the earth. In this review paper the renewable energy as power and warmth, which is made from sun based, wind, ocean, hydropower, biomass, geothermal resources, and bio empowers and hydrogen and these assets are known as inexhaustible assets.
Comparison of multi linear regression and artificial neural network to predict the energy consumption of residential buildings
Authors: Nainwal Rajat , Sharma Aniket 
Published: October 2022

Abstract
The building sector along with its sub-sectors is the world’s leading consumer of all forms of energy and consumes about 30% of the world’s final energy consumption. With the increase in population, industrialization and urbanization trend, the energy sector has grown rapidly in the past decades to cater to the increase in energy demand. To cater this, many regulatory efforts in the form of energy efficiency and conservation codes offering guidelines and measures during and post design have been proposed in different countries of the world. In order to optimize the consumption of energy and achieving energy efficiency in buildings, an important role is played by the energy consumption prediction. In the due course of time, various energy prediction models have been developed by researchers, which are either based on Physical, Hybrid, or Data-driven methods. In this paper, the energy prediction results using two mostly used data-driven methods i.e. multi linear regression and artificial neural network methods, are compared. For this energy consumption data was collected and monitored from six dwelling units when the outside temperature range is 4°C to 15 °C. It has been observed that the monthly energy consumption predicted using ANN method is more accurate than the prediction using MLR. The variation in energy prediction values ranges between -0.302% to +1.752% in ANN, whereas in MLR it ranges between -2.112% to +2.448%.
Urban environmental challenges associated with dynamics of slum settlement
Authors: Kumari Rashmi 
Published: October 2022

Abstract
The urban environmental quality is one of the major issues which need immediate attention as it has direct impact on the human life around the globe. The growing population in the urban areas has put a pressure on the housing sector, which leads to slum formation, and the decreased environmental quality due to it. The urban system cannot be imagined without the slums as these are inexorable part of urban areas, especially in the developing nations. There is a direct association between the complex spatial arrangement and the socio-economic fabric of the slum dwellers. In the present study, the statistical analysis has been performed to establish the interrelation between the determinants of social and economic status of the slum dwellers, and the air quality. Further, the space syntax analysis on the selected case has been performed to understand the spatial dynamics and its interrelation with the socio-behavioural pattern of the slum in the study area of Patna city. The present investigation advocated to improving the quality of slum settlements for improving the quality of the environment.
Numerical Analysis of RCC Beam Using ABAQUS
Authors: Hemamathi A. , Sukumar Binu , Hambrish Guru Chantrakant R.B. 
Published: October 2022

Abstract
Experimental investigation of RCC beam provide an important understanding on its flexural properties. The stages involved from the design to casting, curing, testing and interpretation of results is time consuming and involves economy and labour. To reduce the above said challenges, numerical investigation seems to be an alternate without involvement of money and labour. Preliminary design stages involves design equation which are provided by the basic experiments conducted and they also give the basic information to develop the finite element model. This paper presents the numerical investigation of RCC beam to study the flexural properties using an effective finite element analysis tool ABAQUS. RCC beam prototypes were casted and their flexural properties were experimentally investigated. The results were validated through the finite element model by providing suitable properties for the material that are actually used for the prototype with the desired loading and support conditions. Beam of size 3000 x 230 x 300 mm of M20 grade concrete was casted and tested in the loading frame for flexure and deflection. The study focussed for under reinforced, balanced and over reinforced sections. Numerical analysis was performed using ABAQUS for model geometry and the results were compared with the experimental results. The results agreed with both the experimental and numerical values. Numerical results helps in developing reliable models which can reduce the number of required test specimens for conducting experiments and the model can be used for various study. Also from the finite element results the propagation of cracks can be well understood for the actual specimen.
The flood
Authors: Leeming David A. 
Published: October 2022

Abstract
C3.P1C3.P2Flood myths are ubiquitous. They are found, for instance, in Greek, Egyptian, and Toltec mythologies. The Sumerian/Babylonian and biblical myths and their similarities are discussed here. Flood myths are associated closely with creation myths and exist even in cultures from areas where floods are nonexistent. What is the psychosocial importance of the flood in our cultural dreams? Flood myths speak to the idea of the destruction of the world to make possible a new beginning. They speak to the fact that our world is imperfect and in need of a universal cleansing, leading to a new creation. Flood myths are both tragic and hopeful. They are at once tales of destruction and renewal, death and rebirth.
The trickster
Authors: Leeming David A. 
Published: October 2022

Abstract
Tricksters are central particularly in animistic mythologies such as those from Africa, Native America, and Australia. Ananse and Legba are African examples, and Iktome, Coyote, and Raven are popular in America. In Australia, ancient figures who do walkabouts in Dreamtime are trickster-like. Tricksters reflect a preconscious unrestricted or instinctive appetite for pleasure of all kinds. They often take animal form. They are shapeshifters, and although sometimes they act as culture heroes who assist a creator, more often they undermine the creator’s work and introduce such realities as death into the newly created worlds (e.g., Satan as a shapeshifting figure—the serpent—in the Garden of Eden). What do tricksters have to do with us? Why are they in our cultural dreams?
Are you evil? Is anyone evil?
Authors: Russell Luke 
Published: October 2022

AbstractCould it be the case that you are an evil person? Milgram’s Obedience Experiment suggests that the majority of us are disposed to inflict extreme harms on other people in certain circumstances. This chapter explores the implications of this terrible discovery. We ought to realize that we ourselves are prone towards terrible wrongdoing when we are influenced by authority figures. However, most people do not seek out the opportunity to inflict extreme harms on innocent victims. Serial killers who do seek out these opportunities and who are beyond redemption should be judged to be evil.
Quantitative severity of emphysema is related to the prognostic outcome of early-stage lung cancer
Authors: Yasuura Yoshiyuki , Terada Yukihiro , Mizuno Kiyomichi , Kayata Hiroyuki , Hayato Konno , Kojima Hideaki , Mizuno Tetsuya , Isaka Mitsuhiro , Ohde Yasuhisa 
Published: October 2022

AbstractOBJECTIVESAlthough pulmonary emphysema is a component of chronic obstructive pulmonary disease, the prognostic significance of the quantitative severity of emphysema in patients with primary lung cancer is unclear. This study aimed to identify the association between the quantitative severity of emphysema detected by the low-attenuation area on computed tomography and the prognostic outcome of early non-small-cell lung cancer.METHODSA consecutive series of 1062 patients who underwent lobectomy for clinical stage I and II non-small-cell lung cancer were enrolled in this study. The clinicopathological features and long-term outcomes of patients with primary lung cancer in emphysema were investigated. The extent of emphysema in the lobe where the tumour was present was measured by preoperative computed tomography as a percentage of the low-attenuation area (LAA%).RESULTSLAA% ≥ 1.0% was detected in 145 (13.7%) patients. LAA% was associated with pleural invasion (P &lt; 0.0001), vascular invasion (P &lt; 0.0001) and a larger tumour size (P = 0.001). The overall survival and recurrence-free survival in patients with LAA% ≥ 1.0% and with LAA% &lt; 1.0% at 5 years were 78.6% and 92.1% (P &lt; 0.0001) and 68.7% and 85.2% (P &lt; 0.0001), respectively. According to the Cox proportional hazards model, LAA% was an independent prognostic factor for overall survival and recurrence-free survival (P = 0.0004 and P = 0.003, respectively).CONCLUSIONSThe quantitative severity of pulmonary emphysema was found to be associated with poor prognosis and clinicopathological aggression in early non-small-cell lung cancer.
The benefit of augmenting open data with clinical data-warehouse EHR for forecasting SARS-CoV-2 hospitalizations in Bordeaux area, France
Authors: Ferté Thomas , Jouhet Vianney , Griffier Romain , Hejblum Boris P , Thiébaut Rodolphe ,   Bordeaux University Hospital Covid-19 Crisis Task Force, Faure Isabelle , Revel Philippe , Tentillier Eric , Dindart Jean-Michel , Gruson Didier , Joannes-Boyau Olivier , Malvy Jean-Marie Denis , Pistone Thierry , Neau Didier , Nguyen Duc , Lafon Marie-Edith , Molimard Mathieu , Schaeverbeke Thierry , Grenier Nicolas , Salles Nathalie , Rouanet Francois 
Published: October 2022

Abstract

Objective
The aim of this study was to develop an accurate regional forecast algorithm to predict the number of hospitalized patients and to assess the benefit of the Electronic Health Records (EHR) information to perform those predictions.

Materials and Methods
Aggregated data from SARS-CoV-2 and weather public database and data warehouse of the Bordeaux hospital were extracted from May 16, 2020 to January 17, 2022. The outcomes were the number of hospitalized patients in the Bordeaux Hospital at 7 and 14 days. We compared the performance of different data sources, feature engineering, and machine learning models.

Results
During the period of 88 weeks, 2561 hospitalizations due to COVID-19 were recorded at the Bordeaux Hospital. The model achieving the best performance was an elastic-net penalized linear regression using all available data with a median relative error at 7 and 14 days of 0.136 [0.063; 0.223] and 0.198 [0.105; 0.302] hospitalizations, respectively. Electronic health records (EHRs) from the hospital data warehouse improved median relative error at 7 and 14 days by 10.9% and 19.8%, respectively. Graphical evaluation showed remaining forecast error was mainly due to delay in slope shift detection.

Discussion
Forecast model showed overall good performance both at 7 and 14 days which were improved by the addition of the data from Bordeaux Hospital data warehouse.

Conclusions
The development of hospital data warehouse might help to get more specific and faster information than traditional surveillance system, which in turn will help to improve epidemic forecasting at a larger and finer scale.
Ginsenoside Rg3 inhibits renal cell carcinoma cell migration, invasion, colony formation, and tube formation and enhances apoptosis through promoting the DNA demethylation and histone acetylation
Authors: Ma Zhiqiang , Zuo Yan , Wang Wei 
Published: October 2022

Abstract

Objectives
This study explored the effect and mechanism of Rg3 on renal cell carcinoma (RCC) progression.

Methods
RCC cells were treated with different concentrations of Rg3, 5-Aza-dc (a methyltransferase inhibitor) or TSA (a deacetylase inhibitor). Rg3-induced cytotoxicity, migration, invasion, colony formation, tube formation and apoptosis of RCC cells were evaluated by CCK-8, wound healing, Transwell, colony formation, tube formation and flow cytometry assays, respectively. Methylation and expressions of p53, p21 and p16, and expressions of methylation-related genes and histone deacetylases and histone acetylation-related genes (H3 (acetyl K14), H3 (acetyl K9), H4 (acetyl K12), H4 (acetyl K5) and H4 (acetyl K16)) were analysed by qRT-PCR and western blot.

Key findings
Rg3 dose-dependently decreased the viability, inhibited migration, invasion, colony formation and tube formation, and enhanced apoptosis of RCC cells. Rg3 enhanced the demethylation levels and expressions of p53, p21 and p16 as well as the expressions of histone acetylation-related genes, but repressed the expressions of methylation-related genes and histone deacetylases. Rg3 had the same effect as 5-Aza-dc and TSA did on the above-mentioned cellular changes.

Conclusion
Rg3 restrains RCC cell migration, invasion, colony formation and tube formation, yet enhances apoptosis through promoting demethylation of p53, p21 and p16, and histone acetylation.
An extreme blue nugget, UV-bright starburst at z = 3.613 with 90 per cent of Lyman continuum photon escape
Authors: Marques-Chaves R , Schaerer D , Álvarez-Márquez J , Verhamme A , Ceverino D , Chisholm J , Colina L , Dessauges-Zavadsky M , Pérez-Fournon I , Saldana-Lopez A , Upadhyaya A , Vanzella E 
Published: October 2022

ABSTRACT
We present the discovery and analysis of J1316+2614 at z = 3.6130, a UV-bright star-forming galaxy (MUV ≃ −24.7) with large escape of Lyman continuum (LyC) radiation. J1316+2614 is a young (≃10 Myr) star-forming galaxy with SFR ≃ 500 M⊙ yr−1 and a starburst mass of log(M⋆/M⊙) ≃ 9.7. It shows a very steep UV continuum, βUV = −2.59 ± 0.05, consistent with residual dust obscuration, E(B − V) ≃ 0. LyC emission is detected with high significance (≃17σ) down to 830 Å, for which a very high relative (absolute) LyC escape fraction $f_{\rm esc} \rm (LyC) \simeq 0.92$ (≃0.87) is inferred. The contribution of a foreground or active galactic nucleus contamination to the LyC signal is discussed, but is unlikely. J1316+2614 is the most powerful ionizing source known among the star-forming galaxy population, both in terms of production (QH ≈ 1056 s−1) and escape of ionizing photons ($f_{\rm esc} \rm (LyC) \approx 0.9$). Nebular emission in Ly α, H β, and other rest-frame optical lines are detected, but these are weak ($EW_{0} \rm [H\beta ] \simeq 35$ Å), with their strengths reduced roughly by $\simeq 90{{\ \rm per\ cent}}$. J1316+2614 is the first case known where the effect of large escape of ionizing photons on the strength of nebular lines and continuum emission is clearly observed. Gas inflows are detected in J1316+2614 from the blue-dominated peak Ly α emission (with a blue-to-red peak line ratio Iblue/Ired ≃ 3.7) and redshifted interstellar medium absorption (≃100 km s−1). Our results suggest that J1316+2614 is undergoing a gas compaction event, possibly representing a short-lived phase in the evolution of massive and compact galaxies, where strong gas inflows have triggered an extreme star formation episode and nearly 100 per cent LyC photons are escaping.
Data mining techniques on astronomical spectra data – I. Clustering analysis
Authors: Yang Haifeng , Shi Chenhui , Cai Jianghui , Zhou Lichan , Yang Yuqing , Zhao Xujun , He Yanting , Hao Jing 
Published: October 2022

ABSTRACT
Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many clustering methods have been applied to tackle spectroscopic and photometric data effectively and automatically. Meanwhile, the performance of clustering methods under different data characteristics varies greatly. With the aim of summarizing astronomical spectral clustering algorithms and laying the foundation for further research, this work gives a review of clustering methods applied to astronomical spectra data in three parts. First, many clustering methods for astronomical spectra are investigated and analysed theoretically, looking at algorithmic ideas, applications, and features. Secondly, experiments are carried out on unified datasets constructed using three criteria (spectra data type, spectra quality, and data volume) to compare the performance of typical algorithms; spectra data are selected from the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) survey and Sloan Digital Sky Survey (SDSS). Finally, source codes of the comparison clustering algorithms and manuals for usage and improvement are provided on GitHub.
Planetary nebulae with Wolf–Rayet-type central stars – IV. NGC 1501 and its mixing layer
Authors: Rubio G , Toalá J A , Todt H , Sabin L , Santamaría E , Ramos-Larios G , Guerrero M A 
Published: October 2022

ABSTRACT
Theory predicts that the temperature of the X-ray-emitting gas (∼106 K) detected from planetary nebulae (PNe) is a consequence of mixing or thermal conduction when in contact with the ionized outer rim (∼104 K). Gas at intermediate temperatures (∼105 K) can be used to study the physics of the production of X-ray-emitting gas, via C iv, N v, and O vi ions. Here, we model the stellar atmosphere of the CSPN of NGC 1501 to demonstrate that even this hot H-deficient [WO4]-type star cannot produce these emission lines by photoionization. We use the detection of the C iv lines to assess the physical properties of the mixing region in this PNe in comparison with its X-ray-emitting gas, rendering NGC 1501 only the second PNe with such characterization. We extend our predictions to the hottest [WO1] and cooler [WC5] spectral types and demonstrate that most energetic photons are absorbed in the dense winds of [WR] CSPN and highly ionized species can be used to study the physics behind the production of hot bubbles in PNe. We found that the UV observations of NGC 2452, NGC 6751, and NGC 6905 are consistent with the presence mixing layers and hot bubbles, providing excellent candidates for future X-ray observations.