Miracle-dz/UniFAR-FTUs huggingface dataset:
Enablers and inhibitors of cloud computing assimilation: an empirical study

Purpose The purpose of this paper is to understand what inhibit or facilitate cloud computing (CC) assimilation. Design/methodology/approach The authors investigate the effects of two enablers, top management support (TMS) and government support (GS), and two inhibitors, organization inertia (OI) and data security risk (DSR) on CC assimilation. The authors posit that enablers and inhibitors influence CC assimilation separately and interactively. The research model is empirically tested by using the field survey data from 376 Chinese firms. Findings Both TMS and GS positively and DSR negatively influence CC assimilation. OI negatively moderates the TMS–assimilation link, and DSR negatively moderates the GS–assimilation link. Research limitations/implications The results indicate that enablers and inhibitors influence CC assimilation in both separate and joint manners, suggesting that CC assimilation is a much more complex process and demands new knowledge to be learned. Practical implications For these firms with a high level of OI, only TMS is not enough, and top managers should find other effective way to successfully implement structural and behavioral change in the process of CC assimilation. For policy makers, they should actively play their supportive roles in CC assimilation. Originality/value A new framework is developed to identify key drivers of CC assimilation along two bipolar dimensions including enabling vs inhibiting and internal vs external.
A Survey-cum-Tutorial on Approximations to Gaussian ${Q}$ Function for Symbol Error Probability Analysis Over Nakagami- ${m}$ Fading Channels

This paper is a survey-cum-tutorial on the Gaussian <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula> function and its approximations; and their significance in computing the error probabilities over Nakagami-<inline-formula> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula> fading. The goal is to focus on benefits of approximate computing over perfect solutions. Undoubtedly their exist closed-form solutions to some integrals involved in the error probabilities, but these either involve complex mathematical computations or are undefined for complete range of parameter variations, i.e., are valid only for certain specific parameter values. On the other hand approximations result in general solutions which reduce the computation complexity and are also valid for the entire range of parameter variations; though this comes at a cost, as approximations tend to introduce slight errors in computations. Through this paper, we analyze approximations for their simplicity, analytical tractability, and accuracy to understand how it can benefit research in domains where perfect solutions are either lacking or complex. We focus on Nakagami-<inline-formula> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula> as it spans wide range of fading and covers other Nakagami distributions as special cases. For various digital modulation schemes the error probabilities are first expressed in closed-form using approximations, which are then compared for their accuracy over wide range of signal-to-noise ratio (SNR) [−10, 60] dB, along with variations in the fading parameter <inline-formula> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula>.
Mathematical analysis of interconnected photovoltaic arrays under different shading conditions

Abstract A comprehensive mathematical analysis of interconnected photovoltaic arrays under different shading conditions (opacity) and patterns (column, row, diagonal and corner) has been carried out in this work. The equivalent circuit models for the different shading conditions and patterns, and pseudocode algorithm were developed upon which the performance characteristics of the interconnected arrays were analyzed. Five different interconnections were inclusively considered in this work: series-parallel, total-cross-tied (TCT), bridge-linked, ladder and honey-comb interconnection. The emerging analytical results revealed that TCT is most dominant interconnection and shading patterns across the strings (row and diagonal) have detrimental effect on output power, especially when the opacity is one (signifying perfect shading condition) but shading patterns along the string (column or corner shadings) are less severe to power generation. The formation of double peaks sequel to the presence of shadings are inimical to power generated from the interconnected arrays. Moreover, increasing the interconnections enhances the output power and further serves as a means of bypassing current in the event of threats to the modules. Thus, the results obtained provide vital information for smooth operation and maximization of output power in interconnected arrays by avoiding shades on the strings.
Improve the Collaborative Recommendation system Performance using Trust

— Collaborative Filtering (CF) is one in all the foremost thriving recommendation techniques. in spite of its success, it still suffers from some weaknesses equivalent to knowledge sparseness and user cold-start issues leading to poor recommendation accuracy and reduced coverage. Trust-based recommendation ways incorporate the extra data from the user's social trust network into Collaborative filtering and might higher solve such issues. In this paper we show how to use trust With collaborative filtering to resolve the issues and improve the results.
Technology and knowledge

Riflessioni sul come tecnologia e sapere si influenzano e si trasformano reciprocamente. Fra tecnologie e saperi c’e’ un rapporto di reciproco condizionamento: la tecnologia mette in forma un determinato sapere, da’ ad esso il suo impianto discorsivo; un particolare sapere entra in sintonia con una particolare tecnologia, ne assume la cornice organizzativa.
Real-time Coordinated Scheduling for Cloud Radio Access Networks in a Software-only Environment using the OpenAirInterface Platform

The objective of this paper is to extend into the OpenAirInterface platform the Coordinated Scheduling (CS) technique to allocate resource blocks among User Equipment (UE) in a wisely way and to control the energy efficiency, the throughput, and the inter-cell interference for Cloud Radio Access Networks (C-RANs). It is achieved by modifying the OpenAirInterface scheduler code, increasing the Remote Radio Unit (RRU) scalability, and employing some component carriers of the Radio Cloud Center (RCC), each one them with one or more UEs. The hardware utilized is composed of general-purpose processors and fast Ethernet transport ports, and the software is recent frequency-domain methodologies in a software-only environment where the use of radio units are not required. However, the USRP B200 mini-i radio unit and the UE (Samsung Galaxy S8) were considered only for validation purposes. The emulations using frequency-domain methodologies, compatible with fourth and fifth-generation cellular systems, allowed real-time emulations and reduced 10-fold the multipath channel’s signal processing complexity compared to time-domain methodologies. The results show we can emulate a real-time static coordinated scheduling proof-of-concept for one C-RAN composed of one RCC, three RRUs, and three UEs. In the end, it is evaluated the reproducibility and the scalability of synthetic networks composed of one RRU and at least one UE, without using software-defined radio units, reducing prototyping uncertainties of the physical hardware and the total price of the experiment.
Albumin as a Prognostic Indicator in Pre-Intubated Patients With SARS-CoV-2: A Retrospective, Multi-Institutional Study

Background Much effort has been placed on evaluating serological tests that can predict worsening prognosis in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Endotracheal intubation in SARS-CoV-2 is associated with a higher risk of mortality. While studies have evaluated serological markers that can predict worsening prognosis, the likelihood of intubation in these patients has not been evaluated. The objective of this study was to determine if any serum marker corresponded to oxygen escalation or de-escalation in SARS-CoV-2-infected pre-intubated patients. Methodology This retrospective study reviewed 1,754 SARS-CoV-2 patients in the New York City Health and Hospitals Corporation (NYCHHC) system who required non-invasive positive pressure ventilation (NIPPV) such as continuous positive airway pressure or bilevel positive airway pressure. All patients were above the age of 18, were not terminally ill and requiring hospice care, and were admitted to the NYCHHC system between March 1, 2020 and May 17, 2020. SARS-CoV-2 serological labs were collected for five days for patients initiated on NIPPV, such that day one was 24 hours after NIPPV initiation. Results Multivariate and univariate linear regression modeling on this population cohort was remarkable for a significant association between serum albumin levels and oxygen escalation or de-escalation from NIPPV. Conclusions We conclude that serum albumin level may have further utility in predicting oxygen escalation in pre-intubated patients with SARS-CoV-2, especially in a low-resource and high-demand setting.
BLTM: Beta and LQI Based Trust Model for Wireless Sensor Networks

To defend against internal attacks in wireless sensor networks (WSNs), building a trust model between sensors nodes has been proved to be an effective way in this paper. The most current trust models only consider communication behavior when calculating direct trust, which is directly calculated based on the interactions between sensor nodes. However, this is not enough because of the various types of attacks. Furthermore, the adverse effect of poor-quality links on the trust value of normal nodes is not discussed in the current trust models. In this paper, we propose a beta and link quality indicator (LQI)-based trust model (BLTM) for the WSNs. First, communication trust, energy trust, and data trust are considered when calculating direct trust. Then, the weight of communication trust, energy trust, and data trust are discussed. Finally, an LQI analysis mechanism is proposed to maintain the accuracy and stability of the trust value of normal nodes in a network with poor-quality links. Compared with other models, e.g., beta-based trust and reputation evaluation system (BTRES), the simulation results show that the BLTM can defend against internal attacks, e.g., DoS attack and data tampering attack which the BTRES cannot resist and can reduce the adverse effect of poor-quality links on the trust value of normal nodes effectively.
ImageSubXSS: an image substitute technique to prevent Cross-Site Scripting attacks

Cross-Site Scripting (XSS) is one of serious web application attack. Web applications are involved in every activity of human life. JavaScript plays a major role in these web applications. In XSS attacks hacker inject malicious JavaScript into a trusted web application, execution of that malicious script may steal sensitive information from the user. Previous solutions to prevent XSS attacks require a lot of effort to integrate into existing web applications, some solutions works at client-side and some solutions works based on filter list which needs to be updated regularly. In this paper, we propose an Image Substitute technique (ImageSubXSS) to prevent Cross-Site Scripting attacks which works at the server-side. The proposed solution is implemented and evaluated on a number of XSS attacks. With a single line, developers can integrate ImageSubXSS into their applications and the proposed solution is able to prevent XSS attacks effectively.
Data-Driven Arbitrary Polynomial Chaos for Uncertainty Quantification in Filters

─ A non-intrusive arbitrary polynomial chaos (aPC) method is applied to a problem of a band-stop filter with geometrical imperfections. The construction of aPC scheme only requires evaluating a finite number of moments, and does not involve assigning analytical probability density functions for the uncertain parameters of a stochastic model. Therefore, aPC is well suited for applications where the uncertain parameters are represented by raw data samples, as with the case of experimental measurements. The numerical examples show that the aPC approach is accurate even with a limited number of input samples. Index Terms ─ Data-driven arbitrary polynomial chaos, generalized polynomial chaos, Monte Carlo sampling, uncertainty quantification.
Clinical Characteristics of Japanese Patients Who Visited a COVID-19 Aftercare Clinic for Post-Acute Sequelae of COVID-19/Long COVID

Introduction The long-term clinical course, prognosis, and optimal management of symptoms and conditions after the acute phase of coronavirus disease 2019 (COVID-19) remain to be elucidated. The purpose of this study was to clarify the characteristics of patients referred to a COVID-19 aftercare (CAC) clinic established at a tertiary academic hospital in Japan. Methods This study was a descriptive case series study. All patients who visited the CAC clinic between February 15 and September 17 in 2021 were included. Patients’ background, chief complaints, and clinical courses after the onset of COVID-19 were described. Results A total of 87 Japanese patients (median age, 40.0 years; interquartile range [IQR], 26.5-53.0 years; 52.9% women) were referred to the CAC clinic. The median interval between the onset of COVID-19 and the visit to the clinic was 79.0 (IQR, 52.5-112.0) days. Referral sources were hospitals (36 patients), clinics (47 patients), a local healthcare center (3 patients), and other (1 patient). The most common chief complaint was general fatigue (50.4%) followed by dysosmia (28.7%), dysgeusia (26.4%), hair loss (18.4%), headache (17.2%), dyspnea (16.1%), and dyssomnia (13.1%). Respiratory symptoms were common in the early stages of the disease but were less common as the chief complaints when visiting the clinic. On the other hand, neurological, psychiatric, and extremity symptoms were predominant one month after the onset of COVID-19. Conclusions Regardless of the severity in the acute phase, patients visiting our CAC clinic suffered from a variety of symptoms. General physicians skilled in using a comprehensive approach would be optimal to see patients with such complex symptoms.
Implementing a mixed methods Human Factors approach to design and rehearse management of unplanned extubation in critically ill adult patients

Background: Unplanned extubation (UE), the unintentional dislodgement of a patient’s artificial airway; indwelling endotracheal tube or tracheostomy, occurs infrequently in the critical care setting but is a high risk incident and requires appropriately skilled staff and clear management plans to manage and ensure a positive outcome for the patient. Within the current guidance on management of UE, there is superficial consideration of the systems view and limited practical advice about the integration of systems thinking into management of these situations. Method: This paper reports the findings of a multidisciplinary Human Factors (HF) study to understand ‘work as done’ in being prepared and responding to UE in practice. Multiple methods were triangulated to take a systems perspective on these situations. The methods included development of a hierarchical task analysis (HTA), 21 expert interviews, 50 equipment familiarity audit surveys and three in situ simulation exercises. Results: The study identified key areas of focus for redesign of environment and accessibility of equipment and organisation of resources. It was established that difficulties in identifying individual competency and team skill mix appropriate to the scenario requirements undermined people’s non-technical skills and that decision making could be negatively impacted as a result. Conclusion: The HF approach has provided the critical care team with an improved understanding of the work involved in being prepared or responding to UE and a visual task breakdown which can be used for identifying and testing new ways of working, different environments, technological interventions and using simulation to rehearse for performance. The findings will inform future changes to practice, design of work and the development of a mastery learning programme to support individual and team capabilities in responding to UE so that staff are able to consider this infrequent scenario in context of the wider system.
ALLEVIATING STRESS OF SCLERTIUM ROLFSII ON GROWTH OF CHICKPEA VAR. BHAKKAR-2011 BY TRICHODERMA HARZIANUM AND T. VIRIDE

Chickpea (Cicer arietinum L.) is attacked by Sclerotium rolfsii at the seedling stage and the resulting collar rot disease significantly reduces the survival percentage of the seedlings and ultimately yield of the crop. In order to reduce environmental pollution caused by the use of synthetic fungicides, this study was carried out to use two biocontrol agents, namely Trichoderma harzianum and T. viride, against S. rolfsii, and to investigate their effect on plant growth, yield and physiology of chickpea var. Bhakkar-2011. S. rolfsii inoculation reduced dry weight of shoot, root and grains by 21.4%, 36.5% and 49%, respectively, over negative control. T. harzianum and T. viride increased shoot dry weight by 120% and 362%, root dry weight by 132% and 138%, and grain yield by 1109% and 572%, respectively, over positive control (S. rolfsii inoculated only). The effects of the pathogen and the two biocontrol agents were also studied on chlorophyll, carotenoid and phenolic contents as well as on activities of antioxidant enzymes viz. peroxidase (POX), phenylalanine ammonia lyase (PAL) and catalase (CAT). S. rolfsii inoculation suppressed chlorophyll and carotenoid contents while both the Trichoderma spp. increased these parameters many folds. Phenolic content and activities of POX, PAL and CAT were generally increased due to S. rolfsii but became normal due to application of Trichoderma spp. This study concludes that T. harzianum and T. viride are the potential biocontrol agents for control of collar rot of chickpea var. Bhakkar-2011.
Public Health Implication of Drinking Water Sources Contaminated with Giardia spp. and Cryptosporidium spp. in South Ethiopia

Background: Giardia duodenalis and Cryptosporidium spp. are topmost causes of gastrointestinal diseases mainly in socio-economically disadvantaged regions. Understanding the molecular diversity and distribution of these parasites in water sources and the environmental variables that influence their prevalence is important to effectively control infections in at-risk populations, however, the state of knowledge about risks of these parasites associated with source water is little in Africa. This study aimed at characterizing risks of Giardia duodenalis and Cryptosporidium spp. from water sources in southern Ethiopia.Methods: Twenty-one water samples (10L per source) were collected from five different types of drinking water sources. Sample was analyzed using immunofluorescence assay with fluorescein isothiocyanate–monoclonal antibodies and nested PCR; tpi-PCR was used for genotyping purpose in Giardia duodenalis isolates and SSU-rRNA and gp60-PCR in Cryptosporidium spp. isolates. Statistical analysis was performed using Spearman’s rho correlation and independent-samples nonparametric test.The risk was characterized using quantitative microbial risk assessment.Results: The immunofluorescence assay showed that cyst was detected in 81% (17/21) and oocyst in 71% (15/21) of the samples with mean concentrations of 64.6 cysts.10 L-1 and 62.8 oocysts.10 L-1. Genotypic analysis showed that Giardia duodenalis assemblage B was genotyped in 29.4% (5/17), assemblage A in 17.6% (3/17) and assemblages A+B in 52.9% (9/17) of the samples. Cryptosporidium spp. genotype was detected in 57.1% (12/21) of the samples; Cryptosporidium parvum in 38.1% (8/21), Cryptosporidium hominis in 14.3% (3/21) and Cryptosporidium parvum and Cryptosporidium hominis in 4.7% (1/21) of the samples. The average probability of illness from the water sources was 0.06 for Giardia duodenalis and 0.22 for Cryptosporidium spp.Conclusions: The finding highlights the significance of water for transmission of Giardia spp. and Cryptosporidium spp. in southern Ethiopia. Genotypes detected in the samples indicate multiple sources likely contaminated the sources. Health risk that is inferred from the water sources to the public are significantly higher than most other reported findings. This study recommends the need of regular follow-up, improvement in water treatment facilities and setting appropriate legislation in areas where cycles of parasitic infection is linked to water sources.
Slave Trade in Circassia (first half of the XIX century): Some Characteristic Features

The article discusses the features of the slave trade in Circassia in the first half of the XIX century. The attention is paid to the driving forces of this process, regional specifics, as well as to the regulatory measures of the Russian administration to prevent the capture of slaves and the slave trade. The work was performed on archival sources that were first introduced into scientific circulation, and documents from the state archive of the Krasnodar Krai (Krasnodar, Russian Federation) were involved. The sources of personal origin were also used, such as the diary entries of the polish emissary T. Lapinsky. When solving research problems, both General scientific methods (analysis and synthesis, concretization, generalization) and traditional methods of historical analysis were used. The paper uses the historicalsituational method, which involves the study of historical facts in the context of the studied epoch in conjunction with "neighboring" events and facts. By using the analysis method, it was possible to consider the evolution of the regulatory framework for the prevention of the slave trade on the territory of Circassia during the first half of the XIX century. In conclusion, the authors state that in the first half of the XIX century, one of the main sources of Circassian exports was a living commodity – human trafficking. Due to the high prices for slaves in Circassia, the slave trade was actively developed, making another process related to slavery, namely the process of slave capture, economically attractive. At this time, almost the entire free Circassian population was included in the slave trade, since the presence of slaves was an indicator of wealth and a high position in society. After the appearance of Russia on the borders shared with Circassia, the process of civilizational dialogue began, aimed at eradicating the slave trade and slave-grabbing in this region.
Fuzzy Predictive Control of Wind Turbine Systems Via Singular Perturbation Theory

In this paper, the maximum power point tracking problem of variable-speed wind turbine systems is studied. The mechanical and electromagnetic dynamics of the wind turbine systems are both taken into account. Since the electromagnetic parts change much faster than the turbine part, the whole system is modeled in two time scales base on singular perturbation theory. And a T-S fuzzy model predictive control strategy is then developed. The controller is validated with a wind turbine simulator. The results have shown better performance in comparison with existing controllers.