Miracle-dz/UniFAR-FTUs huggingface dataset:
A Zero-Trust Security Framework for Granular Insight on Blind Spot and Comprehensive Device Protection in the Enterprise of Internet of Things (E-IOT)

The adoption of the Internet-of-Things (IoT) is swiftly rising in almost every aspect of human life, and its operational hardware is generating massive data. Also, cloud computing is an inherent operational technology of IoT for handling massive data because it has sufficient capabilities to store, process, and access control to the data. This brings several benefits, such as organizations increasingly depend on IoT to develop a smart approach to improve operational efficiency, automate complex tasks and provide quality-aware experience to their customer and end-user. As the number of interlinked devices increases, cybercriminals continue to look for blind spots and vulnerable devices in the network. Therefore, this paper attempts to introduce a zero-trust security framework to bring granular insight into the network and design effective intrusion identification methods to provide comprehensive and sustainable protection against dynamic attacks. The proposed framework comprises two implementation design aspects. Firstly, network modeling is carried out for complete visibility based on the number of connected devices and their behavior with other network devices. In this phase, the entire network is segmented into regions based on the IoT device's location to minimize the attack surface. Also, a lightweight cryptography-based secure data transmission mechanism is carried out for reliable communication. Secondly, an efficient machine learning-based intrusion identification system is developed to perform real-time monitoring and attack detection. The simulation outcome indicates the effectiveness of the proposed system for secure communication, data transmission, and attack detection. The comparative analysis demonstrated that the proposed zero-trust security system achieves an average of 35% resource efficiency and a 99 % accuracy rate in attack detection.
Review of Leadership Enhancement Strategies in Healthcare Settings

Leadership, as the act of guiding an organization, is increasingly recognized as an imperative skill in the current society, especially in the healthcare setting. However, its lack of clear conceptualization and widespread cultivation of such skill leads to our review, which aims to identify various factors that can further enhance leadership in healthcare workers hence improving the healthcare system. This review explores the various leadership enhancement strategies implemented in different countries from several perspectives, namely educational strategies, health executive positions, legislation, and reports. Moreover, leadership styles and their association with job satisfaction, therefore patient outcomes, are also discussed. Several strategies are implemented in other countries such as the United Kingdom, Canada, and the Netherlands to engage healthcare personnel in leadership. Educational strategies, health executive positions, frameworks, policies, and reports have been implemented in guiding doctors in adopting leadership and ameliorating the current health system. Both transformational and transactional leadership have distinct effects on job satisfaction, and a significant number of studies found that transformational leadership is positively associated with work satisfaction. Thus, it is more widely accepted and practiced by others.
Controlled Synthesis and Utilization of Metal and Oxide Hybrid Nanoparticles

This dissertation reports the development of synthetic methods concerning rationallydesigned, hybrid, and multifunctional nanomaterials. These methods are based on a wet chemical, solution phase approach that utilizes the knowledge of synthetic organic and inorganic chemistry to generate building blocks in solution for the growth of nanocrystals and hybrid nanostructures. This work builds on the prior knowledge of shape-controlled synthesis of noble metal nanocrystals and expands into the challenging realm of the more reactive first row transition metals. Specifically, a microemulsion sol-gel method was developed to synthesize AuSiO2 dimers as precursors for the synthesis of segmented heterostructures of noble metals that can be used for catalysis. This microemulsion sol-gel method was modified to synthesize an aqueous suspension of oxidation-resistant Cu-SiO2 core-shell nanoparticles that can be used for sensing and catalysis. A thermal decomposition approach was developed, wherein zero-valence metal precursor complexes in the presence of seed nanoparticles produced metal-metal oxide core-shell structures with well-controlled shell thickness. This method was demonstrated on AuCu3-Fe3O4, AuCu3-NiO, and AuCu3-MnO core-shell systems. Switching the core from AuCu3 alloy to pure Cu, this method could extend to Cu-Fe3O4 and Cu-MnO systems. Further etching the Cu core in these core-shell structures led to the formation of the hollow metal oxides which provides a versatile route to hollow nanostructures of metal oxides. This work develops the synthetic library of tools for the production of hybrid nanostructures with multiple
Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC

Abstract Ultra-high-performance fibre reinforced concrete (UHPFRC) is an advanced construction material that provides new opportunities in the future of the construction industry around the world. Among those new applications, rehabilitation, and seismic retrofitting of existing damaged or non-ductile concrete structures can be highlighted. The main objective of this paper is to optimise the hybrid blend of fibres that allows a previously optimised eco-friendly ultra-high-performance cementitious paste to achieve the ductility requirements for seismic retrofitting applications at lower costs. To meet this goal, two artificial neural network models (ANNs) were created to predict the energy absorption capacity (g) and maximum post-cracking strain (εpc). A total of 50 own experimental campaign data added to 550 published works throughout the world data were used for training purposes by using the R-code language. Once the models were trained and validated, a multi-objective optimisation was used to select the combination of fibres that achieved the limit values of g ≥ 50 kJ/m3 and εpc ≥ 0.3% considering cost constraints. The experimentally validated results indicated that the adequate blend of high strength steel micro-fibres and hooked end normal strength steel fibres fulfil the threshold values at a lower cost.
Mediation Role of Revenue Management Practices on the Linkage between Hotel Determinants and Financial Performance of Hotels in Kenya

The study aimed at investigating the mediation role of revenue management (RM) practices on the linkage between the internal and external hotel determinants and the financial performance of hotels in Kenya. The study used a quantitative approach adopted a cross-sectional survey research design. The study sampled 225 revenue managers from all-star-rated hotels in Kenya. Data were collected by use of a questionnaire. The findings revealed that, there was evidence of RM practice in hotels (M = 2.44, SD = 0.671) and that the application of RM has some impacts on the financial performance of hotels (M = 3.35, SD = 1.05). Further, the finding revealed a direct relationship between internal and external hotel determinants and financial performance of hotels (R = 0.457, Sig.
The Slow Death of Capital Protection

Capital protected products are a special type of structured retail products that guarantee a minimum amount of payment at maturity. They were the earliest type of structured products and are very popular with risk averse investors, but nevertheless have become rare in the past years. Using a unique dataset of all structured products issued in Switzerland, one of the biggest markets for such products in the world, we investigate why this has been the case, and argue that it is to a large degree an effect of the zero-interest policy of central banks.
Uncertain accessibility estimation method for offshore wind farm based on multi‐step probabilistic wave forecasting

Accessibility estimation is significant to the offshore wind farm operation and maintenance (O&M) due to the extremely limited weather window and its sensitive effects on O&M tasks. Wave forecasting can be one solution to help maintenance decision-making. However, the uncertain and dynamic properties of wave forecasts are seldom considered in the accessibility estimation process. This paper presents an uncertain accessibility estimation method based on a multi-step probabilistic wave height forecasting (MPWHF) model and Monte Carlo simulation. Firstly, an MPWHF model is proposed using the wavelet decomposition and the sequence to sequence(Seq2Seq) network with quantile outputs. Secondly, the O&M missions are randomly given a start time and simulated in the O&M flow chart by the Monte Carlo method. Finally, several access indexes, including accessibility probability, delay time, and delay probability, are evaluated based on the simulation results. Verification of the proposed MPWHF model and uncertain accessibility estimation is based on 7-year observation data of a buoy station. The results show that the MPWHF model outperforms other counterparts and the probability of offshore accessibility is nonlinearly dependent on the weather limits and the O&M required time.
Nitrogen-vacancy diamond sensor: novel diamond surfaces from ab initio simulations

The great properties of the paramagnetic nitrogen-vacancy (NV) color center in diamond predestine it for nanoscale sensor applications; however, these properties are often compromised when NV centers reside near diamond surface for sensing. Here we show in a mini review that first-principles calculations can characterize diamond surfaces and predict the ideal surface terminators to host NV sensors. We discuss technical issues on the modeling of NV centers close to diamond surfaces, and results on the most employed diamond (100) and the most promising (111) surfaces with various terminators involving hydrogen, oxygen, fluorine, and nitrogen are presented.
Sensing mechanism of SnO2/ZnO nanofibers for CH3OH sensors: heterojunction effects

SnO2/ZnO composite nanofibers were synthesized by a simple electrospinning method. The prepared SnO2/ZnO gas sensors exhibited good linear and high response to methanol. The enhanced sensing behavior of SnO2/ZnO might be associated with the homotypic heterojunction effects formed in n-SnO2/n-ZnO nanograins boundaries. In addition, the possible sensing mechanisms of methanol on SnO2/ZnO surface were investigated by density functional theory in order to make the methanol adsorption and desorption process clear. Zn doped SnO2 model was adopted to approximate the SnO2/ZnO structure because of the calculation power limitations. Calculation results showed that when exposed to methanol, the methanol would react with bridge oxygen O2c, planar O3c and pre adsorbed oxygen vacancy on the lattice surface. The –CH3 and –OH of methanol molecule would both lose one H atom. The lost H atoms bonded with oxygen at the adsorption sites. The final products were HCHO and H2O. Electrons were transferred from methanol to the lattice surface to reduce the resistance of semiconductor gas sensitive materials, which is in agreement with the experimental phenomena. More adsorption models of other interfering gases, such as ethanol, formaldehyde and acetone will be built and calculated to explain the selectivity issue from the perspective of adsorption energy, transferred charge and density of states in the future work.
The Incubation Mechanism and Incubation Performance Evaluation of "Co-creation Space" in Colleges and Universities

The construction of "co-creation space" in colleges and universities has created a comprehensive support platform for their students to start their own businesses, and plays an important role in implementing the innovation-driven development strategy of the country. However, china's " co-creation space " in colleges and universities started relatively late, the law of business incubation has not yet been clarified, the entrepreneurship incubation mechanism, performance evaluation and other research is relatively weak, indirectly affecting the practice of innovation and entrepreneurship guidance. The purpose of this paper is, through the study of the incubation mechanism and performance evaluation of the university's co-creation space, to provide some reference for better use of the superior resources of colleges and universities to improve the incubation efficiency and improve the quality of the incubation of the “co-creation space”. This paper analyzes the meaning of " co-creation space " and the function of incubation service in colleges and universities, and expounds the mechanism of the incubation capacity of the university's creation space, that is, the cultivation mechanism of the spirit of creation, the nesting mechanism of the entrepreneurial network, the mechanism of heterogeneous synergy of entrepreneurship, the mechanism of upgrading the incubation capacity and the interrelated role between them. Based on the meaning of the incubation mechanism of "university co-creation space", the influence factors of incubation performance are extracted, and the evaluation index system of incubation performance of "creation space" in colleges and universities is constructed on this basis. And designed a set of operational evaluation procedures. Data sources are obtained by means of questionnaires and interviews, respectively. using the scoring method of Licht's five-point scale, the incubation performance of selected case universities was tested and evaluated, the evaluation scores were obtained, and the corresponding evaluation results were determined by reference to other evaluation criteria. Reasonable suggestions are put forward for the problems found in the evaluation.
SOREL: Efficient and Secure ORE-Based Range Query Over Outsourced Data

Outsourcing data to the cloud has become popular due to the big data challenges. However, security concerns compel the outsourced data to be encrypted before sending them to the cloud, which lowers their utility and efficiency. The range query plays a significant role in common queries. Consequently, how to efficiently support the range query over encrypted data has become an important challenge. Previously reported schemes either achieve efficiency only in a specific operation or have severe defects in scalability. To address these limitations, we propose a framework, called SOREL, which simultaneously considers security, efficiency and scalability. Specifically, we first propose a new efficient and Secure Order Revealing Encryption (SORE) scheme, which is more secure than bit-based ORE schemes. Then, by employing the proposed SORE scheme, we design a novel index within our framework SOREL to support efficient updating and query operations over encrypted data. Detailed security analysis shows that our SOREL achieves the desirable security requirements. Additionally, results from extensive evaluations indicate that i) SORE outperforms other alternative schemes by at least 8×; and ii) SOREL is at least 3× faster than the comparative schemes with range query operation in the best case while ensuring the competitiveness with insertion operation.
A Comparative Analysis of Competitive Balance Between a Closed and an Open League in Rugby League

League regulators aim for an equitable competition where each team has an equal chance of winning the championship, termed competitive balance. It is generally assumed that closed leagues with stricter labor market regulations should demonstrate better competitive balance than open leagues with promotion and relegation. The aim of this research was to examine the competitive balance between and within seasons in the closed Australian National Rugby League (NRL) and open English Super League using five measures of concentration and dominance. Overall, the closed NRL competition demonstrated superior competitive balance. The practical and theoretical implications of the findings are discussed.
Pengembangan Media Ajar Phonetic “FUNETIC” Berbasis Web

Mahasiswa mengalami kesulitan dalam mempelajari fonetik karena penggunaan media ajar di kelas yang minim. Penelitian ini bertujuan untuk membuat pengembangan bahan ajar web funetic.id. Metode yang digunakan dalam penelitian ini adalah Research and Development (RD) mengadaptasi model 4D. Dalam penelitian ini hanya digunakan 3 tahap, yaitu tahap pendefinisian, tahap perancangan, dan tahap pengembangan. Hasil penelitian pada tahap pertama, yaitu kesulitan mempelajari fonetik disebabkan oleh perbedaan sistem bunyi bahasa Inggris dan bahasa Indonesia sehingga menyebabkan mahasiswa mengalami kesulitan dalam mengingat cara dan tempat menghasilkan bunyi. Hasil penelitian tahap kedua yaitu perancangan media ajar fonetik menggunakan website funetic.id. Hasil penelitian pada tahap ketiga yaitu media ajar funetic.id layak untuk dilakukan uji coba kepada mahasiswa.
Clinical and functional outcome of proximal fibular osteotomy for management of medial compartment osteoarthritis of the knee

Osteoarthritis (OA) of the knee joint is a chronic, degenerative disease associated with pain, decreased range of motion, and deformity in the affected joint. Proximal fibular osteotomy (PFO) works on the principal that by removing proximal part of Fibula, medial and lateral compartment of the knee are evenly loaded on weight bearing and hence the medial joint pain and Arthritic changes resolve. This study was undertaken to study outcomes of Proximal fibular osteotomy (PFO) in the Population of South Gujarat attending our hospitals with medial compartment Osteoarthritis of The knee.Materials and Methodology: This is a prospective study of patients who attended the orthopedic out pateint Department in our hospital between September 2018 to November 2019. In our orthopedics department 42 patient operated for medial compartment Osteoarthritis of the knee with proximal fibular osteotomy. In the follow up Period 5 patient lost follow up in the covid 19 pandemic and 2 patient expired Due to covid 19. So that this patient excluded from the study.Results: In our study, in terms of improvement, two significant differences were found in terms of pain relief, the mean VAS before surgery was 8.00 ± 0.79, which Improved to 2.25 ± 0.792; that was significant in terms of patient relief of pain. Similarly, in terms of comparison of function, the mean preoperative knee Clinical score was 42.75 postoperatively it improved to 83.25 and mean knee Functional score preoperative was 72.5 and postoperatively was 94.37. All These findings, i.e., VAS, and knee score and functional score, were all Suggestive of the beneficial effects of PFO in terms of pain relief and function. Mean HKA angel pre-operative was 173 and postoperatively 173.87 Suggested minimal alignment of mechanical axis.Conclusions: Proximal fibular osteotomy is a simple, safe, less time consuming, and Effective procedure for pain relief and functional recovery. It requires little Rehabilitation and is associated with little or no complications. After a review of the results of our study it was revealed that this procedure is reasonably good both clinically and radiologically, and can be recommended for Medial compartment OA of the knee joint
Comparison of the Potency of Pterostilbene with NF-κB Inhibitors in Platelet Activation: Mutual Activation by Akt-NF-κB Signaling in Human Platelets

Myocardial infarction and cerebral ischemic stroke are prominent causes of death worldwide. Platelets play major roles in these diseases, although they are anucleated cells, but also express the NF-κB. Pterostilbene (PTE) possesses some intriguing pharmacological properties, including the capacity to inhibit platelet activation. We investigated the inhibitory role of PTE in NF-κB-mediated signal events and compared the relative potency with that of classical NF-κB inhibitors. PTE and IκB kinase (IKK) inhibitor, BAY11-7082, and proteasome inhibitor, Ro106-9920, inhibited platelet aggregation; the activity of BAY11-7082 and PTE were similar, but Ro106-9920 was weak in this reaction. PTE and BAY11-7082 diminished NF-κB signaling molecules, including IKK, IκBα, and p65 phosphorylation, and reversed IκBα degradation. However, Ro106-9920 was only effective in diminishing p65 phosphorylation and reversing IκBα degradation. In investigating the role of Akt and NF-κB in cell signaling events, MK-2206 (an inhibitor of Akt) markedly abolished IKK and p65 phosphorylation; BAY11-7082 also reduced Akt phosphorylation. PTE exhibited more potent activity in vivo than did BAY11-7082 in acute pulmonary thromboembolism. In conclusion, we identified a distinctive activation pathway of NF-κB and Akt involved in PTE-mediated antiplatelet aggregation, and PTE demonstrated powerful activity as a prophylactic and as clinical therapy for cardiovascular diseases.
Gold and Ceria as Catalysts for VOC Abatement: A Review

Due to its excellent oxygen storage capacity, ceria is a well-known oxidation catalyst. However, its performance in the oxidation of volatile organic compounds can be improved by the introduction of gold. Depending on the type of VOC to be oxidized, the surface of gold nanoparticles and the gold/ceria interface may contribute to enhanced activity and/or selectivity. Choosing a proper preparation method is crucial to obtain optimal gold particle size. Deposition–precipitation was found to be more suitable than coprecipitation or impregnation. For industrial applications, monolithic catalysts are needed to minimize the pressure drop in the reactor and reduce mass and heat transfer limitations. In addition to the approach used with powder catalysts, the method employed to introduce gold in/on the washcoat has to be considered.
Seismic Imaging of the Mw 7.1 Ridgecrest Earthquake Rupture Zone From Data Recorded by Dense Linear Arrays

We analyze seismograms recorded by four arrays (B1–B4) with 100 m station spacing and apertures of 4–8 km that cross the surface rupture of the 2019 Mw 7.1 Ridgecrest earthquake. The arrays extend from B1 in the northwest to B4 in the southeast of the surface rupture. Delay times between P wave arrivals associated with ∼1,200 local earthquakes and four teleseismic events are used to estimate local velocity variations beneath the arrays. Both teleseismic and local P waves travel faster on the northeast than the southwest side of the fault beneath arrays B1 and B4, but the velocity contrast is less reliably resolved at arrays B2 and B3. We identify several 1–2 km wide low‐velocity zones with much slower inner cores that amplify S waveforms, inferred as damage zones, beneath each array. The damage zones at arrays B2 and B4 also generate fault‐zone head and trapped waves. An automated detector, based on peak ground velocities and durations of high‐amplitude waves, identifies candidate fault‐zone trapped waves (FZTWs) in a localized zone for ∼600 earthquakes at array B4. Synthetic waveform modeling of averaged FZTWs, generated by ∼30 events with high‐quality signals, indicates that the trapping structure at array B4 has a width of ∼300 m, depth of 3–5 km, S wave velocity reduction of ∼20% with respect to the surrounding rock, Q‐value of ∼30, and S wave velocity contrast of ∼4% across the fault (faster on the northeast side). The results show complex fault‐zone internal structures (velocity contrasts and low‐velocity zones) that vary along fault strike.
Self-adaptive Particle Swarm Optimization with Human-in-the-loop for Ankle Exoskeleton Control

± 13.54, 28.52 ± 8.14, and 8.58 ± 3.82% compared with those for the static assistance condition, zero-torque model, normal walking condition, and the case optimized by standard particle swarm optimization, respectively. Thus, the proposed method can be regarded as an alternative in the field of exoskeleton HIL optimization control.