Miracle-dz/UniFAR-FTUs huggingface dataset:
Monodispersed Mesoporous Silica Spheres Supported Co3O4 as Robust Catalyst for Oxygen Evolution Reaction

Monodispersed mesoporous silica spheres (MSS) with fibrous nanostructure and highly open porosity were fabricated by a facile one‐pot synthetic route and loaded with Co3O4 nanoclusters for catalyzing the oxygen evolution reaction with Ru(bpy)32+–S2O82− photosensitizer and sacrificial reagent system. The effect of the loading amount on the morphology and microstructure of Co3O4 was investigated and it was found that lower Co3O4 content in the composite materials results in smaller crystallite size, which in turn leads to significantly enhanced oxygen evolution activity. Furthermore, owing to the monodispersity of the spheres and good accessibility of active species offered by the fibrous pore structure, the material shows a clear advantage over nonsupported Co3O4 nanoparticles and the commonly used ordered mesoporous silica supports such as KIT‐6 and SBA‐15.
IOT BASED E-HEALTH MONITORING SYSTEM USING ARDUINO UNO

: The medical world today faces basic two problems when it comes to patient monitoring, firstly the need of healthcare providers present bedside the patient and secondly the patient is restricted to bed and wired to large machines. In order to achieve better quality patient care, the above cited problems have to be solved. This paper presents an IoT based E-Health Monitoring System using Arduino Uno which monitors certain health parameters of the patient and broadcasts the monitored data on a particular IP address(Wi-Fi). A prototype of the proposed system has been built to demonstrate its performance.
Thank you for your trust, I will now take over your vision An experimental setup for researching the interplay between different perceptions of the physical world by AI systems and humans

With the integration of neural network classifiers (NNC) in society, the perception of the physical world will switch from the human sensory perception to that of the NNC. This shift could have a huge impact on society, as unexpected decisions might emerge because of a clash between the two perceptions. In particular, with the rise of adversarial examples in the physical world. With this in mind, we propose an experimental setup as a reproduction of the study by Athalye et al. (2018) that could be of merit in Human-Computer Interaction (HCI) research. The proposed setup creates the possibility for the participant to experience the impact of adversarial examples and thus imagine society with embedded NNC.
Maintaining Maintenance: The Real Effects of Financial Reporting for Infrastructure

We use the adoption of GASB 34 to examine whether states’ infrastructure reporting policies are associated with their investments in infrastructure maintenance, which is often neglected and deferred to future periods. GASB 34 required governments to report on general infrastructure assets for the first time using one of two reporting methods: the depreciation approach and the modified approach. In light of the increased disclosure requirements associated with the modified approach, we use the modified approach as a proxy for higher quality financial reporting about infrastructure. We find that, relative to states using the depreciation approach, modified approach states invest more to maintain their roads and bridges. We use two-stage least squares and difference-in-differences research designs, as well as several additional analyses, to allay endogeneity concerns. Our results suggest that states’ financial reporting policies have real effects that ultimately can directly impact society. Our findings also raise the question of whether stakeholders have sufficient information to ascertain the magnitude and consequences of deferred investments in infrastructure maintenance.
Ambient thermal comfort analysis for four major cities in Thailand, Cambodia, and Laos: Variability, trend, factor attribution, and large-scale climatic influence

: Characterizion of ambient thermal comfort using a standard heat index (HI) was performed for Bangkok, Chiang Mai, Phnom Penh, and Vientiane, with data covering 37 and 17 years for the ﬁrst two and last two cities, respectively. HI was lower during the night and the early morning but high in the afternoon in both the dry and the wet seasons. Its diurnality showed a tendency to be more inﬂuenced by temperature than by relative humidity. The daily maximum heat index (DMHI) was the highest in April–May due to both warm and humid conditions, but was the lowest in December–January due to cool dry air. Among the ﬁve considered risk DMHI levels, “extreme caution” occurred the most often for the majority of the months, and “danger” occurrence tended to increase in April–June. Low-latitude cities (i.e., Bangkok and Phnom Penh) showed less pronounced diurnality and seasonality due to their proximity to the Equator and large water bodies. Increasing trends in seasonal DMHI average were found in Bangkok, Chiang Mai, and Vientiane; while decreasing trends in Phnom Penh were found in both seasons. The trends in seasonal DMHI extremes were consistent with those of the seasonal DMHI average in terms of direction (except Bangkok). Polynomial regression modeling, developed for trend factor attribution, suggests more inﬂuence of humidity than of temperature for most trends. Partial correlation analysis indicates seasonal DMHI average to be more associated with El Niño-Southern Oscillation than with the Indian Ocean Dipole.
Li3BaSrLa3(WO4)8:Eu3+ and Its Solid Solutions : A New Red Emitting Phosphor ‐ Structure, Synthesis and Appraisal of Optical Properties

Sequences of red emitting Eu3+ activated Li3BaSrLa3(WO4)8 were, synthesized by following an accustomed solid state reaction method. The concentration of the Eu3+ ion was varied in the Li3BaSrLa3(WO4)8 host lattice in steps of 0.3. From the concentration optimization analysis, it was observed that the (Li3BaSrEu2.7La0.3(WO4)8) phosphor composition shows highest emission intensity. Further, we fixed the Eu3+ ion concentration, and efforts have been made to establish a solid solution amid the tungstate and molybdates. All the phosphor compositions exhibit broad absorption due to O → M (M=W/Mo), O → Eu charge transfer(CT) band and excellent photoluminescence properties, with intense electric dipole transition (7F0 → 5D2). The detailed optical studies were indicated in order to authorize that the Eu3+ ion resides at the non-centrosymmetric site residence in the interior of the host lattice. The Judd – Ofelt spectral intensity parameters were calculated. The absolute quantum yield and lifetime of the red phosphors were also measured for selected compositions. It was observed that the selected phosphors yield a high value of QY (89.8 %) with enhanced absorption and emission properties. The best solid solution phosphor composition was used for LED fabrication by integrating with 395 nm near UV LED, forward biased at 20 mA. The leading optical characteristics of the phosphors may find versatile applications in the field of lighting (including SSL) as well as other essential fields.
AI system for predicting the deterioration of COVID-19 patients in the emergency department

During the COVID-19 pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for prediction of deterioration risk using a deep neural network that learns from chest X-ray images, and a gradient boosting model that learns from routine clinical variables. Our AI prognosis system, trained using data from 3,661 patients, achieves the AUC of 0.786 (95% CI: 0.742-0.827) when predicting deterioration within 96 hours. Our deep neural network indicates informative areas of chest X-ray images to assist clinicians in interpreting the predictions, and performs comparably to two experienced chest radiologists in a reader study. In summary, our ﬁndings demonstrate the potential of the proposed system for assisting front-line physicians in the triage of COVID-19 patients.
NOESIS II: Predicting Responses, Identifying Success, and Managing Complexity in Task-Oriented Dialogue

Real-world conversation often involves more than two participants and complex conversation structures, but most datasets for dialogue research simplify the task to make it more tractable. This shared task built on prior tasks for goaloriented dialogue, moving towards more realistic settings. Seventeen teams participated in the primary task, predicting the next utterance in a multi-party conversation, and several teams participated in supplementary tasks. All of the datasets have been publicly released, providing a standard benchmark for future work in this space.
Safety and E cacy of Minimally Invasive McKeown Esophagectomy in 1023 Consecutive Esophageal Cancer Patients: A Single-Center Experience

Xiao-Dong Zheng Tianjin Medical University General Hospital https://orcid.org/0000-0002-5495-3216 Shi-cong Li Tianjin Medical University General Hospital Chao Lu Tianjin Medical University General Hospital Wei-Ming Zhang The fourth a liate hospital of Henan University of science and technology Jian-Bin Hou Anyang tumor hospital the fourth a liated hospital of Henan University of science and Technology Ke-Feng Shi Anyang tumor hospital the a liated hospital of Henan university of science and technology Peng Zhang (  xwkzhangpeng@163.com ) Tianjin Medical University General Hospital
The Mach-Zehnder Interferometer and the Quantum Delayed Choice

A proposta do presente trabalho é analisar o experimento da Escolha Retardada através de um experimento idealizado utilizando um interferômetro de Mach-Zehnder aliado a uma part́ıcula quântica de prova como controladora do resultado: padrão de interferência ou comportamento corpuscular. Inicialmente, estudamos a proposta original do experimento da escolha retardada e também como o aparato se encaixa como modelo de um experimento análogo ao de dupla fenda. Dentro desse contexto, também analisamos os conceitos de part́ıcula e onda e a sua relação com o prinćıpio de complementaridade de Bohr. Mostramos como a extensão para um experimento de escolha retardada quântica pode ser feita no contexto de interferômetros de Mach-Zehnder. As conclusões gerais são de que os comportamentos ondulatório e corpuscular devem ser associados às distribuições de probabilidades resultantes e que estes emergem no contexto do experimento de escolha retardada quântica através de uma correlação entre os resultados da part́ıcula principal e da part́ıcula auxiliar. Palavras-chave: interferômetro de Mach-Zehnder, dualidade onda-part́ıcula, prinćıpio de complementaridade, escolha retardada quântica.
Review on Hanabi Challenge for Artificial Intelligence Research

: Games were relevant to research to investigate how far computers would handle complex decision-making from the early days of computing. Machine learning has made considerable strides over recent years with automated staff that attain incredible success in difficult fields such as Go, Atari and other poker variants. Like their predecessors of chess, scrutinizers and backgammon, some areas of game science have presented artificial intelligence practitioners with complex yet well-established obstacles. The researchers continue this practice by introducing the Hanabi game as a new difficulty field with new difficulties resulting from the mixture of strictly cooperative gaming with 2 to 5 players and incomplete details. They contend in particular that Hanabi puts thinking on certain agents' beliefs and motives in the forefront. This paper assumes that creating new strategies for the philosophy of learning in Hanabi, and in particular those with human partners would be crucial to progress. To facilitate further research, this paper incorporates the Hanabi Learning Environment open-source, provides a research community with an investigational foundation for assessing algorithmic developments and determines the efficiency of modern technologies.
Neural Dynamics of Conflict Control in Working Memory

Abstract Attention and working memory (WM) have classically been considered as two separate cognitive functions, but more recent theories have conceptualized them as operating on shared representations and being distinguished primarily by whether attention is directed internally (WM) or externally (attention, traditionally defined). Supporting this idea, a recent behavioral study documented a “WM Stroop effect,” showing that maintaining a color word in WM impacts perceptual color-naming performance to the same degree as presenting the color word externally in the classic Stroop task. Here, we employed ERPs to examine the neural processes underlying this WM Stroop task compared to those in the classic Stroop and in a WM-control task. Based on the assumption that holding a color word in WM would (pre-)activate the same color representation as by externally presenting that color word, we hypothesized that the neural cascade of conflict–control processes would occur more rapidly in the WM Stroop than in the classic Stroop task. Our behavioral results replicated equivalent interference behavioral effects for the WM and classic Stroop tasks. Importantly, however, the ERP signatures of conflict detection and resolution displayed substantially shorter latencies in the WM Stroop task. Moreover, delay-period conflict in the WM Stroop task, but not in the WM control task, impacted the ERP and performance measures for the WM probe stimuli. Together, these findings provide new insights into how the brain processes conflict between internal representations and external stimuli, and they support the view of shared representations between internally held WM content and attentional processing of external stimuli.
Structure of a Protozoan Virus from the Human Genitourinary Parasite <named-content content-type='genus-species'>Trichomonas vaginalis</named-content>

The flagellated protozoan Trichomonas vaginalis is an obligate human genitourinary parasite and the most frequent cause of sexually transmitted disease worldwide. Most clinical isolates of T. vaginalis are persistently infected with one or more double-stranded RNA (dsRNA) viruses from the genus Trichomonasvirus, family Totiviridae, which appear to influence not only protozoan biology but also human disease. Here we describe the three-dimensional structure of Trichomonas vaginalis virus 1 (TVV1) virions, as determined by electron cryomicroscopy and icosahedral image reconstruction. The structure reveals a T 1 capsid comprising 120 subunits, 60 in each of two nonequivalent positions, designated A and B, as previously observed for fungal Totiviridae family members. The putative protomer is identified as an asymmetric AB dimer consistent with either decamer or tetramer assembly intermediates. The capsid surface is notable for raised plateaus around the icosahedral 5-fold axes, with canyons connecting the 2and 3-fold axes. Capsid-spanning channels at the 5-fold axes are unusually wide and may facilitate release of the viral genome, promoting dsRNA-dependent immunoinflammatory responses, as recently shown upon the exposure of human cervicovaginal epithelial cells to either TVV-infected T. vaginalis or purified TVV1 virions. Despite extensive sequence divergence, conservative features of the capsid reveal a helix-rich fold probably derived from an ancestor shared with fungal Totiviridae family members. Also notable are mass spectrometry results assessing the virion proteins as a complement to structure determination, which suggest that translation of the TVV1 RNA-dependent RNA polymerase in fusion with its capsid protein involves 2, and not 1, ribosomal frameshifting, an uncommonly found mechanism to date. IMPORTANCE Trichomonas vaginalis causes ~250 million new cases of sexually transmitted disease each year worldwide and is associated with serious complications, including premature birth and increased transmission of other pathogens, including HIV. It is an extracellular parasite that, in turn, commonly hosts infections with double-stranded RNA (dsRNA) viruses, trichomonasviruses, which appear to exacerbate disease through signaling of immunoinflammatory responses by human epithelial cells. Here we report the first three-dimensional structure of a trichomonasvirus, which is also the first such structure of any protozoan dsRNA virus; show that it has unusually wide channels at the capsid vertices, with potential for releasing the viral genome and promoting dsRNA-dependent responses by human cells; and provide evidence that it uses 2 ribosomal frameshifting, an uncommon mechanism, to translate its RNA polymerase in fusion with its capsid protein. These findings provide both mechanistic and translational insights concerning the role of trichomonasviruses in aggravating disease attributable to T. vagi-
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics

With the recent expanding attention of machine learning researchers and 1 practitioners to fairness, there is a void of a common framework to analyze and 2 compare the capabilities of proposed models in deep representation learning. In this 3 paper, we evaluate diﬀerent fairness methods trained with deep neural networks on 4 a common synthetic dataset and a real-world dataset to obtain better insights on how 5 these methods work. In particular, we train about 3000 diﬀerent models in various 6 setups, including imbalanced and correlated data conﬁgurations, to verify the limits 7 of the current models and better understand in which setups they are subject to 8 failure. Our results show that the bias of models increase as datasets become more 9 imbalanced or datasets attributes become more correlated, the level of dominance 10 of correlated sensitive dataset features impact bias, and the sensitive information 11 remains in the latent representation even when bias-mitigation algorithms are 12 applied. Overall, we present a dataset, propose various challenging evaluation 13 setups, and rigorously evaluate recent promising bias-mitigation algorithms in 14 a common framework and publicly release this benchmark † , hoping the research 15 community would take it as a common entry point for fair deep learning. 16
N EURAL D ISJUNCTIVE N ORMAL F ORM : V ERTICALLY I NTEGRATING L OGIC W ITH D EEP L EARNING F OR C LASSIFICATION

We present Neural Disjunctive Normal Form (Neural DNF), a hybrid neurosymbolic classifier that vertically integrates propositional logic with a deep neural network. Here, we aim at a vertical integration of logic and deep learning: we utilize the ability of deep neural networks as feature extractors to extract intermediate representation from data, and then a Disjunctive Normal Form (DNF) module to perform logical rule-based classification; we also seek this integration to be tight that these two normally-incompatible modules can be learned in an end-to-end manner, for which we propose the BOAT algorithm. Compared with standard deep classifiers which use a linear model or variants of additive model as the classification head, Neural DNF provides a new choice of model based on logic rules. It offers interpretability via an explicit symbolic representation, strong model expressity, and a different type of model inductive bias. Neural DNF is particularly suited for certain tasks that require some logical composition and provides extra interpretability.
The impact of resveratrol on cell growth and cell cycle of colon cancer cells

The effect of resveratrol on cell growth and cell cycle was examined in colon cancer cells that express wild type or mutant tumor suppressor genes p53, APC and hMLHl. Revveratrol arrested cells in the S and G2/M stages of cell cycle and reduced cell number in four colorectal cancer cell lines (SW480, HT29, DLD 1, and HCT 116) dose dependently. Further studies in SW480 cells showed that the resveratrol-induced cell growth inhibition and cell cycle arrest was reversible. When HCT116 cells with wild type p53 and a parallel p53 knock out cell line were treated with 0 to 30 μM resveratrol for 24, 48 and 72 hours, the impact of resveratrol on growth inhibition and cell cycle arrest was similar in the two cell lines. Similarly, when MMR proficient HCT 116+chr3 cells and MMR deficient HCT 116 cells were each treated with 30 μM resveratrol they showed comparable G2/M arrest (P<0.05). HT29 cells, with inducible expression of full length APC (HT29-APC) and a control cell line containing inducible 13-galactosidase (HT29-GAL), were used to evaluate the impact of APC on cell cycle arrest by resveratrol. Both cells showed a significant G2/M arrest by 80μM resveratrol (p<0.05), and the expression of wild type APC did not alter the cells sensitivity to resveratrol. In conclusion, we found that the expression of full length APC in HT29 cells, depletion of p53, or restoration of MMR status in HCT 116 cells did not change the effect of resveratrol on cell growth or cell cycle. Corresponding author: Dr Diane Birt, Department of Food Science and Human Nutrition, 215 MacKay Hall, Iowa State University, Ames, IA, Tel. : 515-294-9873, fax: 515-294-6193, email: dbirt~~iastate.edu.
Investigation of Aflatoxin M1 Reduction in Milk by Solution of Radioactive Iodine131

Aflatoxins are toxins which are usually produced by a kind of Aspergillus fungus named Flavus, Parasiticus, and Numius. There are 18 kinds of Aflatoxins have been discovered by scientists and Aflatoxin B1 is the most toxic and carcinogenic. Taking aflatoxins present in food causes lots of diseases like liver diseases, alcoholic liver, mutagenesis, and malformation in animals. It also has some other outcomes like weakness of immune system, decrease in growth, decrease in eating, decrease in lactation in cows and abortions. To reduce the aflatoxin in milk, there are different methods and in this paper have done that by iodine solution. Milk is the most perfect food that can be used by humans. This food consists of a complicated compound including fat, proteins, sugar, lactose, minerals, vitamins, and water. A significant amount of milk is water and it may be due to the iodine present in the water. Iodine is a radioactive element which existence in milk during production and storing causes some physical and chemical changes in milk and its components. This paper is carried out in two stages. In the first stage, the dose amount of absorbed Gama was measured during one day with a milk with aflatoxin impregnated with 1Bq/m3 iodine based on Nano rad with MCNPX software. In the second stage the Reduction of aflatoxin M1 with adding radioactive iodine to milk was investigated