Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomous Parking-lots Detection with Multi-sensor Data Fusion Using Machine Deep Learning Techniques

The rapid development and progress in deep machine-learning techniques have become a key factor in solving the future challenges of humanity. Vision-based target detection and object classification have been improved due to the development of deep learning algorithms. Data fusion in autonomous driving is a fact and a prerequisite task of data preprocessing from multi-sensors that provide a precise, well-engineered, and complete detection of objects, scene or events. The target of the current study is to develop an in-vehicle information system to prevent or at least mitigate traffic issues related to parking detection and traffic congestion detection. In this study we examined to solve these problems described by (1) extracting region-of-interest in the images (2) vehicle detection based on instance segmentation, and (3) building deep learning model based on the key features obtained from input parking images. We build a deep machine learning algorithm that enables collecting real video-camera feeds from vision sensors and predicting free parking spaces. Image augmentation techniques were performed using edge detection, cropping, refined by rotating, thresholding, resizing, or color augment to predict the region of bounding boxes. A deep convolutional neural network F-MTCNN model is proposed that simultaneously capable for compiling, training, validating and testing on parking video frames through video-camera. The results of proposed model employing on publicly available PK-Lot parking dataset and the optimized model achieved a relatively higher accuracy 97.6% than previous reported methodologies. Moreover, this article presents mathematical and simulation results using state-of-the-art deep learning technologies for smart parking space detection. The results are verified using Python, TensorFlow, OpenCV computer simulation frameworks.
New International Human Resource Management Approaches and Multinational Enterprise Strategies

The effective implementation of international strategies (ISs) is dependent on the mobilization and management of human resources (HR) across borders. It is widely recognized that the multinational enterprise (MNE) serves as an important organizational context to explore how the design and diffusion of human resource management (HRM) policies and practices contribute to the effective development of international business (IB) strategy. Yet, to date, we know very little about how the HR function helps or hinders the implementation of an MNE’s international strategies. This chapter specifically discusses the challenges associated with MNEs managing their increasingly diverse workforces. This, we propose, will change the manner in which we think about the relationship between the HR role and the implementation of MNE strategies.
Methodological Proposals for the Development of Services in a Smart City: A Literature Review

This literature review analyzes and classifies methodological contributions that answer the different challenges faced by smart cities. This study identifies city services that require the use of artificial intelligence (AI); which they refer to as AI application areas. These areas are classified and evaluated, taking into account the five proposed domains (government, environment, urban settlements, social assistance, and economy). In this review, 168 relevant studies were identified that make methodological contributions to the development of smart cities and 66 AI application areas, along with the main challenges associated with their implementation. The review methodology was content analysis of scientific literature published between 2013 and 2020. The basic terminology of this study corresponds to AI, the internet of things, and smart cities. In total, 196 references were used. Finally, the methodologies that propose optimization frameworks and analytical frameworks, the type of conceptual research, the literature published in 2018, the urban settlement macro-categories, and the group city monitoring–smart electric grid, make the greater contributions.
Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization

The output stability of the photovoltaic (PV) system is directly affected by temperature change of PV panels. In this paper, a novel temperature prediction method of PV panels with support vector machine (SVM) is proposed, which can solve the temperature prediction problem in a complex environment. In order to optimize parameters of SVM, a Pigeon-Inspired Optimization (PIO) method is given. Meanwhile, the delay factor (DF) is added to improve the PIO algorithm for avoiding the problem of local optimum. Moreover, a multisensor monitoring system of PV is established, and the collected data of temperature are used to train and verify the accuracy of the model. Finally, the proposed method is evaluated using synthetic and actual data sets. Simulation results show that the DFPIO-SVM can obtain better predictive performance.
Real-Time Polymerase chain reaction trends in COVID-19 patients

Objective: To assess trends of real-time Polymerase Chain Reaction test in Coronavirus infected Patients. Methodology: This cross-sectional analytical study was conducted at Tertiary Care Institute, Rawalpindi from March 2020 to June 2020. All patients confirmed COVID positive by real-time Polymerase Chain Reaction (PCR) with recent travel history, close contact with known diagnosed patients and had symptoms of fever or upper respiratory tract with body aches. Nasopharyngeal swabs were taken and results generated within 48 hours. Positive PCR was admission criteria follow up was carried out at 7th and 8th day, with negative PCR were discharged. However, those who had persistent positive PCR on the 8th day were tested again on 11th and 12th day. Those with persistent positive results beyond 12th day were shifted to specialized quarantine centres. Results: A total of three hundred and ninety-two patients with mild to moderate illness, PCR positive for COVID 19 were included study with age range 9 - 45 and mean 33.22±7.98 years. A total of 8 (2%) patients were females and 384(98%) males. The duration of the negative test result was Mean ± Std. Deviation 9.05±2.00 with 7 – 8 days 152(38.8%)in and 11 – 12 days in 160(40.8%). PCR results on Day 7 and 8 were negative in 144(36.7%) patients whereas positive in 248(63.3%). PCR results on Day 11 and 12 were negative in 312(79.6%) patients whereas positive in 80 (20.4%). Conclusion: To conclude Real-Time Polymerase Chain Reaction (rT-PCR) inclines to give false negative results additionally can stay positive in asymptomatic patients for moderately longer-term. Hence decision to discharge ought to be intricately adjusted between RT-PCR, clinical judgement, radiological examinations, and biochemical assays.
A new intelligent hybrid encryption algorithm for IoT data based on modified PRESENT-Speck and novel 5D chaotic system

Modern application based on IoT sensors/devices are growth in several fields. In several cases, the sensing data needs to be secure in transmission to control / administrator side. In this paper, the proposed secure Internet of Things data sensing and proposed algorithms will be explained, based on the main overarching novel 5-D Hyper chaotic system and new encryption mechanisms (contains hybrid encryption and two modified encryption algorithms) controlled by Fuzzy rules. The encryption mechanism combined by using the structure of PRESENT and SPECK algorithm with novel 5-D chaotic system. Also, for encryption will use the modified mechanisms of Round steps in PRESENT algorithm by SPEECK which were adopted on an IoT sensing data transferring. This proposed system provides a high level of security for any sensitive information that may be generated from sensors that may be installed in an important location to protect buildings and offices from theft by making certain modifications to the algorithms necessary to maintain the safety and security of the information, etc., which must be protected from Attacks. This system is designed to be effective in providing security features for data contents that include confidentiality, authentication and non-repudiation, and is compatible with all types of remote sensing data and sensors to send the final notification to the final administrator view. The proposed system is designed to provide users with high flexibility and ease in managing change operations, speeding up encryption operations and intruding the contents of message packets (types and forms of different sensor data) at the point of origin and decrypting and checking packet integrity messages upon receipt. These features make users of this system more confident with each other. The proposed encryption mechanism and novel chaotic system passed different testes. The generated chaos key space at least 22560probable different combinations of the secret keys to break the system used brute force attack.
Late Holocene environmental and climatic changes in the Western Sayan Mountains based on high‐resolution multi‐proxy data

Southern Siberia is characterized by complex climatic and vegetation patterns, and the late‐Quaternary evolution of climate and vegetation in this vast region is still poorly understood. This study uses pollen, spores, testate amoebae and plant macrofossils to characterize environmental and climatic changes at Bezrybnoe Mire (Western Sayan Mountains, southern Central Siberia). Pollen data indicate permanent forest cover in the region during the Late Holocene and subtle variations in abundances of dominant taxa (Pinus sibirica,Abies sibirica,Larix,Pinus sylvestris and Betula pendula). Higher values of Betula and Artemisia at the beginning of the record (>2500 cal. a BP, probably c. 3300 cal. a BP) and c. 420–140 cal. a BP suggest slight expansion of birch forest and steppe. The intervening period has higher values of dark taiga taxa, suggesting a shift to higher moisture levels. Superimposed on this longer‐term variation, the testate amoeba record of mire wetness reveals 12 sub‐millennial episodes of drier conditions (with a sample resolution of c. 50–90 years). Mire plant communities reacted to the high‐frequency fluctuations in moisture but with a delayed response of c. 30–40 years. Both the short‐ and long‐term variations in moisture show general concordance with neighbouring regional records and align with observed cultural changes of the Eurasian steppe region. These variations in moisture probably relate to the degree of penetration of the moisture‐bearing Westerlies into southern Siberia.
Expanding the Utility of Bioinformatic Data for the Full Stereostructural Assignments of Marinolides A and B, 24- and 26-Membered Macrolactones Produced by a Chemically Exceptional Marine-Derived Bacterium

Marinolides A and B, two new 24- and 26-membered bacterial macrolactones, were isolated from the marine-derived actinobacterium AJS-327 and their stereostructures initially assigned by bioinformatic data analysis. Macrolactones typically possess complex stereochemistry, the assignments of which have been one of the most difficult undertakings in natural products chemistry, and in most cases, the use of X-ray diffraction methods and total synthesis have been the major methods of assigning their absolute configurations. More recently, however, it has become apparent that the integration of bioinformatic data is growing in utility to assign absolute configurations. Genome mining and bioinformatic analysis identified the 97 kb mld biosynthetic cluster harboring seven type I polyketide synthases. A detailed bioinformatic investigation of the ketoreductase and enoylreductase domains within the multimodular polyketide synthases, coupled with NMR and X-ray diffraction data, allowed for the absolute configurations of marinolides A and B to be determined. While using bioinformatics to assign the relative and absolute configurations of natural products has high potential, this method must be coupled with full NMR-based analysis to both confirm bioinformatic assignments as well as any additional modifications that occur during biosynthesis.
Clinical analysis and pluripotent stem cells-based model reveal possible impacts of ACE2 and lung progenitor cells on infants vulnerable to COVID-19

Introduction: An increasing number of children with severe coronavirus disease 2019 (COVID-19) is being reported, yet the spectrum of disease severity and expression patterns of angiotensin-converting enzyme 2 (ACE2) in children at different developmental stages are largely unknow. Methods: We analysed clinical features in a cohort of 173 children with COVID-19 (0-15 yrs.-old) between January 22, 2020 and March 15, 2020. We systematically examined the expression and distribution of ACE2 in different developmental stages of children by using a combination of children's lung biopsies, pluripotent stem cell-derived lung cells, RNA-sequencing profiles, and ex vivo SARS-CoV-2 pseudoviral infections. Results: It revealed that infants (< 1yrs.-old), with a weaker potency of immune response, are more vulnerable to develop pneumonia whereas older children (> 1 yrs.-old) are more resistant to lung injury. The expression levels of ACE2 however do not vary by age in children's lung. ACE2 is notably expressed not only in Alveolar Type II (AT II) cells, but also in SOX9 positive lung progenitor cells detected in both pluripotent stem cell derivatives and infants' lungs. The ACE2+SOX9+ cells are readily infected by SARS-CoV-2 pseudovirus and the numbers of the double positive cells are significantly decreased in older children. Conclusions: Infants (< 1 yrs.-old) with SARS-CoV-2 infection are more vulnerable to lung injuries. ACE2 expression in multiple types of lung cells including SOX9 positive progenitor cells, in cooperation with an unestablished immune system, could be risk factors contributing to vulnerability of infants with COVID-19. There is a need to continue monitoring lung development in young children who have recovered from SARS-CoV-2 infection.
Controlled Permeability of Polyelectrolyte Capsules via Defined Annealing

The influence of thermal treatment on the permeability of polyelectrolyte multilayer capsules is studied via confocal fluorescence microscopy of individual microcapsules. For the specific most frequently used example, capsules made of poly(styrenesulfonic acid) and poly(allylamine hydrochloride), the penetration of fluorescein is shown to be reduced by 3 orders of magnitude on heating at 80 °C. The data show that holes formed during preparation may be annealed in a predictable way.
Technological Development of an InP-Based Mach-Zehnder Modulator

This paper presents the results of the development of a technology for manufacturing electro-optical Mach–Zehnder modulators based on InP. The key features of the technology are the use of one SiNx double-patterned dielectric mask with two sequential inductively coupled plasma (ICP) etchings of the heterostructure for the simultaneous formation of active and passive sections of the modulator’s optical waveguides. This prevents misalignment errors at the borders. The planarization of the wafer surface was performed using photosensitive benzocyclobutene (BCB) films in a combined scheme. Windows in the BCB film to the bottom ohmic contact and at the die boundaries were formed by lithography, and then the excess thickness of the BCB film was removed by ICP etching until the p-InGaAs contact regions of the p-i-n heterostructure were exposed. The deposition and annealing of the top ohmic contact Ti/Pt/Au (50/25/400 nm) to p-InGaAs was carried out after the surface planarization, with the absence of both deformation and cracking of the planarizing film. A new approach to the division of the wafers into single dies is presented in this paper. The division was carried out in two stages: first, grooves were formed by dicing or deep wet etching, and then cleaving was performed along the formed grooves. The advantages of these techniques are that it allows the edges of the waveguides at the optical input/outputs to be formed and the antireflection coating to be deposited simultaneously on all dies on the wafer, before it is divided.
Exploring the Cycle of Oppression and Whiteness in the Academy Through Currere: Reflections from a Reading-Group-Based Intergroup Dialogue

White supremacy is long-standing and pervasive in higher education and it leads to internalized dominance in white faculty and the subjugation of faculty of color in the Cycle of Oppression. To explore this cycle and the power of whiteness and privilege in higher education, a multiracial group of campus community members from a range of institutional roles read What Does it Mean to Be White? Developing White Racial Literacy (DiAngelo, 2016) as a foundational text to foster an intergroup dialogue. Over the course of a semester, the authors shared how their own lives have been inextricably intertwined with the Cycle of Oppression. In this article, the authors employ currere as a method of curriculum inquiry to investigate their lived experiences (Pinar, 1975, 2004) to understand the effects of White privilege, and to explore the Cycle of Oppression within the context of academia (Baszile, 2006a, 2006b; Fine, 1997).
Immunomodulatory effects of flavonoids: An experimental study on natural-killer-cell-mediated cytotoxicity against lung cancer and cytotoxic granule secretion profile

Background: A new approach involving immune-cell-mediated cancer therapy has been adopted extensively for the sake of lung cancer treatments by utilizing natural killer (NK) cells. NK cell activity can be enhanced with certain agents, and among them are flavonoids. Thus, this study was conducted to investigate the immunomodulatory roles of apigenin, luteolin and quercetin on NK cell activity against lung cancer cells and on the secretions of perforin and granulysin profile. Methods: The NK-92 cells were grown in complete α-Minimum Essential Medium (MEM). NCI-H460 lung cancer cells were cultured in Roswell Park Memorial Institute 1640 media. NK cell activity against lung cancer cells were done using MTT(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay. The secretions of perforin and granulysin profiles were then analysed using enzyme-linked immunosorbent assay. Results: Apigenin, luteolin and quercetin significantly increased the NK-cell-mediated cytotoxic activity against lung cancer cells at concentrations 12.5 µg/ml and 25µg/ml (P < 0.001). The secretion levels of perforin and granulysin from NK cells were also significantly enhanced with apigenin and luteolin treatment but not with quercetin. Conclusions: All three flavonoid compounds possessed some significant immunomodulatory actions on NK cell cytotoxic activity and granule secretion profiles towards lung cancer therapy.
African students’ emigration intentions: case studies in Côte d’Ivoire, Niger, and Senegal

ABSTRACT This paper addresses the drivers of migration intentions amongst francophone West African university students. We use an original dataset collected from more than 4000 students in Côte d’Ivoire, Niger, and Senegal. Multivariate methods allow us to link the intention to migrate with the characteristics of students, with their opinion regarding mobility as well as with the perceived situation of their country of origin. We analyze intervening factors such as ethnicity, financial resources, past migration history, and social networks, and put the results into perspective with migration theory. Our results show that migration intentions are complex processes: the national context plays a role, but family support and networks are important. Generally, only a minority of students wish to leave and then only temporarily, to improve their human capital upon return.
HER2-targeted regimens after prior trastuzumab for patients with HER2-positive unresectable, locally advanced or metastatic breast cancer: a network meta-analysis of randomized controlled trials

Background Several human epidermal growth factor receptor 2 (HER2)-targeted regimens (anti-HER2 target agent combined chemotherapy) have been introduced for the treatment of HER2-positive locally advanced or metastatic breast cancer progressed after trastuzumab. We therefore conducted a network meta-analysis to compare and rank HER2-targeted regimens in this population after trastuzumab therapy. Methods The electronic databases of PubMed, EmBase, Cochrane Central Register of Controlled Trials, and the websites of http://clinicaltrials.gov/ (US NIH) were systematically searched for published and unpublished randomized controlled trials (RCTs) from their inception to October, 2020. Nine treatment regimens were eligible to be included in this analysis. The primary outcomes were overall response rate (ORR), progression-free survival (PFS) and overall survival (OS), while the secondary outcomes were grade ≥3 adverse events. Results A total of 2,104 citations were identified and 12 RCTs comprising 3,769 patients were selected for final analysis. For HER2 positive unresectable, locally advanced or metastatic patients progressed after trastuzumab therapy pyrotinib plus capecitabine ranked the highest surface under the cumulative ranking area (SUCRA) in PFS, ORR and its SUCRA in OS was higher than Trastuzumab emtansine (T-DM1). T-DM1 plus atezolizumab, pyrotinib plus capecitabine, and pertuzumab plus trastuzumab plus capecitabine had comparable SUCRA in OS (76.1% vs. 74.5% vs. 71.2%). Six of included studies reported any grade ≥3 adverse events, the prevalence of any grade ≥3 adverse events in lapatinib plus capecitabine (353/683), T-DM1 (213/558), trastuzumab plus capecitabine (130/218), pertuzumab plus trastuzumab plus capecitabine (118/228), pyrotinib plus capecitabine (220/384), T-DM1 plus atezolizumab (43/132) and capecitabine (24/94) were 51.7%, 38.2%, 59.6%, 51.8%, 57.3%, 32.6% and 25.5%, respectively. Specific adverse event characteristics related to different HER2-targeted regimens need to be well known ahead and managed during the therapy. Conclusions The results indicated that for HER2 positive breast cancer with previous trastuzumab therapy pyrotinib plus capecitabine was probably more efficacious in PFS and ORR. T-DM1 plus atezolizumab, pyrotinib plus capecitabine and pertuzumab plus trastuzumab plus capecitabine have comparable effect on OS improvement and all of them were likely better than T-DM1. The risk of grade ≥3 adverse events for specific treatment regimens were also provided.
Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data

The analysis of correlation structures among multivariate spatially aggregated data has become increasingly important and poses substantial challenges This article concerns the development of partial and semi-partial statistics of spatial associations in the context of multivariate spatial areal data extending Moran's I and Geary's C The proposed statistical tools describe global or local associations among spatially aggregated measurements for pairs of different components conditional on all remaining components The new statistics are tested through a simulation study and illustrated using aggregated data on the COVID-19 pandemic recorded at the Community level in Spain © 2020 The Ohio State University
Theoretical prediction of phase behaviour at high temperatures and pressures for non-polar mixtures. Part 2.—Gas–gas immiscibility

An attempt has been made to predict gas–gas immiscibility using the Guggenheim and van der Walls equations of state. The stability conditions have been solved, using a digital computer, for the van der Waals one fluid model. The computational aspects have been discussed in previous papers in this series.The Guggenheim equation of state successfully predicts gas–gas immiscibility of the correct kind for most of the systems which have been studied experimentally. In contrast the van der Waals equation of state predicts the correct kind of gas–gas immiscibility in only a very few cases.The applicability of the model is briefly discussed.