Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multimode CMOS Vision Sensor With On-Chip Motion Direction Detection and Simultaneous Energy Harvesting Capabilities

This work presents a <inline-formula> <tex-math notation="LaTeX">${128}\times {128}$ </tex-math></inline-formula> multi-function CMOS vision sensor with motion direction detection (MDD) and simultaneous energy harvesting (EH) capability, featuring: 1) light weight template-based optical flow (OF) algorithm for on-chip MDD with high energy efficiency and small area overhead; and 2) independent imaging and energy harvesting (EH) operations using vertically stacked N+/PW and PW/DNW+DNW/PSUB junctions without photodiode reconfiguration. Fabricated in <inline-formula> <tex-math notation="LaTeX">$0.18\mu \text{m}$ </tex-math></inline-formula> standard CMOS, this work demonstrates the first CMOS vision sensor featuring both MDD and EH modes within a compact pixel pitch of <inline-formula> <tex-math notation="LaTeX">$4.75\mu \text{m}$ </tex-math></inline-formula>. With a power consumption of <inline-formula> <tex-math notation="LaTeX">$10.5\mu \text{W}$ </tex-math></inline-formula> at 15fps in MDD mode, the chip prototype achieves a motion sensing figure-of-merit (MS-FoM) of 171 pJ/pixel<inline-formula> <tex-math notation="LaTeX">$\cdot $ </tex-math></inline-formula>frame, which is 30% better than the state-of-the-art MDD sensors. The proposed EH configuration achieves continuous power generation at 267pW/lx/mm<sup>2</sup> irrespective of the imaging/MDD operation, demonstrating a <inline-formula> <tex-math notation="LaTeX">$1.56\times $ </tex-math></inline-formula> improvement over prior arts.
Glucose and ethanol checked by flow Direct Catalytic Fuel Cell (DCFC) and energetic considerations

A new basic research was conducted concerning the possibility of using a flow DCFC (Direct Catalytic Fuel Cell) for analytical purposes, checking ethanol and glucose. Also making considerations on the energy conversion aspect of these fuels. There are a large number of studies concerning catalytic or microbial fuel cells, which allow to obtain electricity, both using liquid fuels, such as ethanol and methanol, or solid fuels, such as carbohydrates, biomass and so on. These systems are frequently characterized by high conversion efficiency but also high complexity and considerable costs. In the present research we investigated the possibility of using a very simple flow system to carry out measurement of ethanol concentration, or glucose analysis, using the same flow system associated with a small reactor containing yeast (Saccharomyces Cerevisiae). The main operating conditions have been optimized and the concentration range where the flow system response shows a linear correlation with the fuel concentration was also identified. The current delivered by the catalytic system operating in flow was determined and the calibration sensitivity values are higher than the sensitivity found when operating in batch mode. It has also been shown that it is possible to realize a very simple system, which can be used to study and evaluate the conversion of chemical energy into electrical energy, using ethanol or glucose as fuel and the theoretical importance and analytical advantages have been emphasized, so that the use of carbohydrates, such as solid fuels, could represent. Present research has shown how, by operating in flow mode, rather than in batch, it is possible to have advantages from an analytical point of view, since a considerable increase in the sensitivity of the method can be obtained, probably attributable to a reduction in the effects of poisoning. Moreover, how it is possible to study and optimize the energy conversion conditions by means of a simple and inexpensive apparatus.
OpenID: the Definitive Guide

This authoritative guide offers you a detailed look at OpenID and OAuth, two emerging technologies for universal digital identity and data access. With these open specifications, not only can you provide customers with easier and more secure access to your site, you can also reduce costs and complexity associated with account maintenance. OpenID enables visitors to easily reuse an existing account for many websites including yours, while OAuth provides a consistent and secure way to share personal data.OpenID: The Definitive Guide offers best practices, step-by-step instructions, and clear examples to help you implement OpenID, OAuth, or both. Written by some of the original creators of these protocols, this book will help you:Learn about identity on the Web, and why OpenID and OAuth were created Apply these technologies to everyday web scenarios Design your site's user experience to accommodate these technologies Understand how OpenID and OAuth complement one another Discover how businesses are using both technologies today Learn how these technologies fit into emerging reputation and relationship layers Know what can go wrong when using authentication technologies Delve into the technology that underlies OpenID and OAuth, and survey other related technologies Support for reliable third-party authentication is gaining momentum, and many large corporations such as Google, Yahoo! , IBM, Microsoft, Flickr, and MySpace have already adopted OpenID or OAuth. This book will give you a firm grounding in these emerging and exciting digital identity technologies.
Hypoglycemic, Antihyperglycemic, and Toxic Effects of Physalis peruviana L. Aqueous and Methanolic Leaf Extracts in Wistar Rats

Background Physalis peruviana L. (Solanaceae) is a plant widely used in traditional medicine systems to manage various diseases, including diabetes mellitus, which remains a global health problem in developing and developed countries. This study aimed to scientifically evaluate its antidiabetic bioactivity and short-term toxicity in rats. Methods We prepared various doses (100, 200, 400 mg/kg) of aqueous and methanolic leaf extracts for the antidiabetic study, and a dose of 2000 mg/Kg was prepared for the acute toxicity test. The first group that evaluated the hypoglycemic effect consisted of forty normoglycemic Wistar rats aged 7–8 months old with a weighted average of 265.8 ± 24.6 g. The second group consisted of intraperitoneal glucose-loaded male animals to evaluate the antihyperglycemic effect. The third group contained two groups of normoglycemic female rats (n = 3), aged 3 and 4 months old (weight average: 187.45 ± 14.82 g), treated for 14 days with aqueous and methanolic extracts (2 g/kg b.w) to assess mortality and toxic effects. Blood samples were taken at 30, 60, 90, and 120 min post-treatment in hypoglycemic and antihyperglycemic evaluations. Glibenclamide (5 mg/kg) was used as a reference drug. The control animals in each group did not receive the extracts. Results In hypoglycemic rats, 100 mg/kg of aqueous and methanolic extracts significantly lowered the fasting blood glucose level by 13.92% (p < 0.0001) and 21.95% (p < 0.01), respectively, compared to the control group. In glucose tolerance test group, methanolic extracts significantly reduced hyperglycemia by 54.55% (p < 0.0001), 46.50% (p < 0.0001), 39.78% (p < 0.0001) at 400, 200 and 100 mg/kg b.w, respectively, compared to control; aqueous extract 400 mg/kg reduced hyperglycemia by 39.44% (p < 0.05). At the 2000 mg/kg dose, leaf aqueous and methanolic extracts did not show any signs of intoxication and mortality. Conclusion Crude aqueous and methanolic leaf extracts of P. peruviana ambrosioides appeared safe at 2000 mg/kg and have bioactivity in controlling the blood glucose levels, supporting their use in treating diabetes.
Academic Well-Being of University Students with Disability: Role of Hardiness and Social Support

Online learning during the COVID-19 pandemic seems to produce a new challenge for students with disabilities. The physical limitations experienced demand an adjustment to a digitalization-based system. These changes are pros and cons for university students with disabilities to achieve well-being through success in the academic field. The achievement of academic well-being of university students with disabilities seems inseparable from internal and external factors. Based on the phenomena, this study aims to determine the role of hardiness and social support (family, friends, and significant others) on the academic well-being of students with disabilities. The method used quantitative with a multiple regression design. The participants were 184 university students with physical disabilities using the snowball sampling technique. The research scale consists of a hardiness scale, a social support scale, and an academic well-being scale. The results of the study indicated that the hardiness and social support affected the academic well-being of university students with disabilities. The achievement of academic well-being experienced by university students with disabilities provides a new understanding that self-limitation does not make it an obstacle to forming a good self-concept, forming a self-strategy in overcoming online learning problems, and increasing productivity in every educational process undertaken. Thus, hardiness and social support factors play an important role in realizing the academic well-being of university students with disabilities
Simultaneously allocating electric vehicle charging stations (EVCS) and photovoltaic (PV) energy resources in smart grid considering uncertainties: A hybrid technique

This paper proposes a simultaneously allocating electric vehicle charging station (EVCS) and photovoltaic (PV) energy resources in smart grid considering uncertainties using a hybrid technique. The proposed hybrid technique is the combination of capuchin search algorithm (CapSA) and wild horse optimizer (WHO), and hence it is named as ECapSA technique. The dynamic behaviour of capuchin monkeys is enhanced by the wild horse's social life behaviour. That's why, it is called as enhanced CapSA (ECapSA) technique. In the proposed work, the following four main objectives are considered and formulated by the ECapSA technique: (a) minimization of energy loss, (b) minimization of 24‐h voltage deviation, (c) maximization of weightage to offer electric vehicle charging service for maximal users, and (d) minimization of land cost. The locations of electric vehicle charging station and distributed generation (DG) affect the power loss along voltage at the distribution network. Besides, the locations on the road network determine the land cost together with weightage. The proposed formulation solution is carried out in two layers: upper and lower layers. The electric vehicle charging station allocation is modelled in upper layer and distributed generation of the optimization in lower layer. Here, 24 h slots are considered for load variation and photovoltaic generation variation at the charging station (CS). The energy loss reduction is an objective of problem formulations instead of power loss reduction. The ECapSA technique is implemented in the MATLAB platform, its performance is analyzed with existing techniques.
Research on Cross-Contrast Neural Network Based Intelligent Painting: Taking Oil Painting Language Classification as an Example

With the continuous fermentation of the thought of intelligence, artificial intelligence has extended its tentacles into the field of artistic creation and has begun to try intelligent creation. Painting creation based on artificial intelligence is called “intelligent painting. ” For oil paintings, the computational language is a relatively complicated description. How to correctly identify the computational language of oil paintings is essential for establishing a large oil painting database. This paper constructs a meaningful learning similarity measure and multiclassification model based on the CCNN model to realize the classification of oil painting language. A cropped CNN model is used to extract language features, and on this basis, oil painting works are cross-compared and multiclassified. This method realizes the classification of oil painting language and the corresponding painter and achieves superior accuracy. This paper constructs a data classification method based on small samples, measures similarity through cross-comparison, and provides a measuring approach for classifying the language of oil paintings. The CCNN model proposed combines the best classification results of oil painting language, which improves the accuracy of oil painting language classification. Moreover, it further enriches the methods of oil painting language classification and image recognition under computational intelligence.
Losing Jacket of Guide Wire - A Rare Intraoperative Complication of Percutaneous Nephrolithotomy - Method to Identify and Safely Remove it

Citation: Kumar V, Para SA, Wani SA (2022) Losing Jacket of Guide Wire A Rare Intraoperative Complication of Percutaneous Nephrolithotomy Method to Identify and Safely Remove it. Int Arch Urol Complic 7:084. doi.org/10.23937/2469-5742/1510084 Accepted: May 24, 2022; Published: May 26, 2022 Copyright: © 2022 Kumar V, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
POR QUE ESCREVO? OS DESAFIOS DA ESCRITA ACADÊMICA NO ENSINO SUPERIOR

Observa-se uma crescente preocupação dos pesquisadores com os processos que envolvem a leitura e a escrita de estudantes universitários. Sabendo, pois, que escrever em contextos de Educação Superior exige competências específicas, os acadêmicos tentam equilibrar-se entre suas práticas de leitura e de escrita e o que é exigido pelas instituições de Ensino Superior. Diante desta perspectiva, a investigação objetivou mapear os desafios e possibilidades de escrita de graduandos do curso de Pedagogia da Pontifícia Universidade Católica do Rio Grande do Sul. De cunho qualitativo, a metodologia empregada valeu-se de observações, análise das produções textuais dos estudantes e aplicação de questionário. O marco teórico se apoia nas contribuições de Bakhtin (2000), Christofoli; Vitória (2013), Trowler (2010) e Barkley (2009). Os resultados sinalizam que as principais limitações dos estudantes com relação à escrita consistem em: manter o foco; tempo; exposição do próprio texto; excesso de informações; coesão; coerência; regras gramaticais; e falta de exercício da escrita. Destacam-se ainda como potencialidades: facilidade em escrever sobre vivências pessoais; boa memória; vocabulário rico; clareza; uso de bons conectores; e criatividade. Além dos aspectos positivos e negativos, obtive as categorias de análise: A história da escrita; A escrita como ferramenta; Leitura; e Constância. Assim, o presente estudo, ao debruçar-se sobre os desafios e possibilidades da escrita acadêmica, sinaliza para a necessidade de se pensar a escrita no Ensino Superior como uma prática recorrente e inerente à vida acadêmica, desmistificando-a como algo complexo e, proporcionando possibilidades para que se sinta instigado a escrever e consequentemente, mais engajado.
Resinous Plant Species of Lesotho Used by Honey Bees (Apis mellifera L.) as Raw Materials for Propolis Production

Introduction Honey bees (Apis mellifera L.) have the ability to look for and collect resinous substances with antimicrobial properties from a wide variety of plants from the environment they live in (Dezmirean et al., 2020). Bees collect resins on their hind legs and deposit them in their hives where the resins are mixed with wax to produce propolis (bee glue) in order to protect their family and hive (Bankova et al., 2019; Wilson et al., 2013). Interestingly, bees make use of the mechanical properties of propolis as well as its biological action. It is responsible for the lower incidence of bacteria and moulds within the hive than in the atmosphere outside (Bankova et al., 2000). The knowledge of botanical origin of resins is important because propolis harvested from colonies in different climatic regions, and thus from different botanical sources, could vary in its chemical composition and antimicrobial properties (Wilson et al., 2013). It is notable that honey bees make discrete choices among many resinous plant species, even among closely related species.
ALK-positive advanced non-small cell lung cancer patients with poor performance status: Outcomes in a real-world scenario

Background Anaplastic lymphoma kinase (ALK) inhibitors have shown significant efficacy in ﻿ALK -rearranged non-small cell lung cancer (NSCLC) patients with good performance status (PS) in multiple randomised studies. However, there is limited data on patients with poor performance status. Patients and methods We carried out a retrospective analysis of prospectively collected data of patients with ALK-rearranged NSCLC and Eastern Cooperative Oncology Group (ECOG) PS of 2–4 treated at a single academic cancer centre from January 2013 to November 2018. The outcomes, progression-free survival (PFS) and overall survival (OS) were calculated from the date of diagnosis. SPSS version 20 was used for all statistical calculations. Results Out of the total 441 ALK-positive patients, 97 (21.9%) had ECOG PS 2–4 (poor PS). The median PFS was 9.3 months (95% CI = 6.6–12.0) as compared to 14.9 months (95% CI = 13.4–16.4) for patients with a PS of 0–1 (HR = 1.38, 95% CI = 1.04–1.84, p = 0.027). The corresponding median OS were 17.9 months (95% CI = 12.8–23.1) and 33.5 months (95% CI = 28.6–38.4), respectively (HR = 1.89, 95% CI = 1.36–2.62, p < 0.001). Among poor PS patients, a subgroup of patients with PS 2 had median OS of 20.6 months (95% CI = 10.8–47.3) as compared to 8.6 months for PS 3–4 (95% CI = 7.8–27.8) (HR = 1.79, 95% CI = 1.01–3.20, p = 0.047). The patients treated with upfront ALK inhibitors had better survival as opposed to those treated with chemotherapy. On multivariate analysis, PS 3–4, smoking, stage 4 and not using ALK inhibitors as first-line therapy were associated significantly with poor outcomes. Conclusion The ALK-rearranged NSCLC patients with poor PS derived significant benefits with ALK inhibitors. The outcomes were significantly poorer as compared to patients with PS 0–1; the subgroup of patients with PS 2 had better outcomes as compared to patients with PS 3–4.
Ultra compact multi-standard low-noise amplifiers in 28 nm CMOS with inductive peaking

This work presents the design of two compact multi-standard low-noise amplifier (LNA) in a 28 nm low-power bulk CMOS process. The transistor parameters were optimized by the gm/ID method taking into account the parasitics and the behavior of highly scaled transistors. To cover the industrial science medical (ISM)-bands around 2.4 and 5.8 GHz, the WLAN band as well as the Ku band a bandwidth enhancement is required. Two versions of LNAs, one with vertical inductors and one with active inductors, are implemented and verified by measurements. The noise figure (NF) exhibits 4.2 dB for the LNA with active inductors and 3.5 dB for the LNA with vertical inductors. The voltage gain reaches 12.8 and 13.4 dB, respectively, with a 3 dB-bandwidth of 20 GHz. Both input referred 1-dB-compression points are higher than −12 dBm making the chips attractive for communication standards with high linearity requirements. The chips consume 53 mW DC power and the LNA with active inductors occupies a core area of only 0.0018 mm2, whereas the version with vertical inductors requires 0.021 mm2.
Synthesis and self-cleaning properties of superamphiphobic coatings based on burr-like copolymer particles

Superhydrophobic and superoleophobic surfaces are widely used in many fields. Inspired by the structure of water strider legs, we proposed a simple method to construct a superamphiphobic surface based on burr-like KH-PS (copolymer of styrene and γ-Methacryloxypropyl trimethoxy silane) nanoparticles by soap-free emulsion polymerization and hydrolytic condensation reaction. In order to improve the film-forming properties and adhesion between coating and substrate, fluoromonomer-containing polysiloxane acrylate (PA) is designed and synthesized to bond burr-like nanoparticles. Then modify the fluorine-containing material on the surface of the burr-like particles to reduce the surface energy. The contact angles of the coating to water, diiodomethane, hexadecane, soybean oil, and rapeseed oil are 164.2° ± 1.5°, 155.3° ± 1.7°, 148.6° ± 1.9°, 152.7° ± 1.6°, and 153.5° ± 1.7°, respectively. The superamphiphobic coating exhibits excellent thermal stability, chemical stability, and self-cleaning performance. The microscopic roughness of coating constructed by organic polymer particles has broader application prospects on soft substrates such as fabrics.
WiFi-Based Indoor Positioning and Communication: Empirical Model and Theoretical Analysis

GPS (Global Positioning System) has been developed more mature and perfect in outdoor positioning. However, because GPS signals cannot be effectively transmitted in a complex indoor environment, positioning and navigation cannot be performed in typical situations such as indoor emergency occurrence location determination, shopping mall guides, and intelligent service robot fixed-point services. With the deepening of related researches, technologies based on ultrasound, WiFi, Bluetooth, radio frequency identification, infrared, etc. have been used to achieve indoor target positioning. The traditional WiFi-based indoor positioning technology uses the RSS value and CSI value of the WiFi signal to build a fingerprint database for positioning. The algorithm is complex and highly cost, and the function is relatively single. In this paper, for the first time, we propose a new algorithm for integrating indoor target positioning and communication based on WiFi signals. Using RSS value of WiFi signal for target location and using CSI value for indoor wireless channel modeling to get the system transmission function to achieve communication purpose, the experimental results show that the positioning algorithm can achieve positioning within the ideal accuracy range, and the communication algorithm part can accurately recover the system function of the wireless multipath channel and finally achieve the goal of integration of positioning and communication based on the WiFi signal level.
Less Intensive Regimens May Still Be Suitable for the Initial Treatment of Primary Mediastinal B-Cell Lymphoma in Resource-Limited Settings

Primary mediastinal B-cell lymphoma (PMBCL) is an uncommon disease, consisting of 2–4% of non-Hodgkin lymphomas. Radiotherapy-free DA-EPOCH-R and R-CHOP plus radiotherapy (RT) have been the upfront standard regimens worldwide. However, performing DA-EPOCH-R in resource-constrained settings can be burdensome, especially in low/middle-income countries, where data on PMBCL are still largely unknown. We retrospectively analyzed 93 patients with PMBCL diagnosed between 2008 and 2018 with the intention of comparing the characteristics of the patients and the results obtained with each protocol and to verify if the use of less intensive chemotherapy is still possible to be used. The median age was 28 years, 59.1% were female, 42.3% were in advanced stages, and 92.1% were with bulky disease. DA-EPOCH-R (41.9%), R-CHOP (35.5%), and R-CHOEP (22.6%) were the regimens used, and no difference was observed in the characteristics of the patients. After four cycles of chemotherapy, complete response (CR), partial response (PR), and progressive disease (PD) rates were 40%, 55.7%, and 4.5%, respectively. At the end of treatment, metabolic CR and PD rates were 56.8% and 11.1%. RT was performed in 42.1% of DA-EPOCH-R, 75% of R-CHOP, and 83% of R-CHOEP, and switched PR to CR in 73.7%. Estimated 5-year PFS and OS were 77.2% and 77.4%, respectively. Only LDH levels remained independently associated with PFS, and type of treatment was not associated with OS, PFS, or relapse rate. Therefore, we conclude that in a resource-constrained setting, R-CHOP or R-CHOEP could be still safely adopted in upfront treatment for PMBCL.