Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Compact Flower Shape Dual Notched-Band Monopole Antenna for Extended UWB Wireless Applications

Abstract In this letter, a compact monopole antenna for ultra wideband (UWB) applications is proposed with small size of 18×20=360 mm2. Antenna consist of a flower shape radiating patch with a pair of C-shaped slots which offer two notch bands for WiMAX (3.04–3.68 GHz) & WLAN (4.73–5.76 GHz) and two rectangular shaped slots in the ground plane which provides a wide measured usable fractional extended bandwidth of 163 % (2.83–14.0 GHz) with improved VSWR. Moreover, it is also convenient for other wireless application as close range radar, 8–12 GHz in X-band. Measured radiation patterns exhibits nearly omnidirectional in H-plane and dipole like pattern in E-plane across the bandwidth and furthermore exhibits good time domain performance.
Application of PIV in large-scale shaking table model tests

PIV is a velocity-measuring technique commonly used in the field of experimental fluid mechanics and geotechnical tests,but no previous report is found on the use of this technique in large-scale shaking table tests.The PIV technology is applied to large-scale shaking table model tests on slope stability,and the failure criterion is also studied.Sony high-definition video camera,MVC3000 camera and Canon EOS 450D digital camera are used to capture images.It is found that Canon digital camera can provide the best quality images and the measured results exhibit good regularity.The results show that the PIV technology is verified to effectively measure the displacement of any point at any time with accuracy within the observation region.Furthermore,one can get more information about the process of deformation development,the formation of strain localization and the whole failure process of slope under earthquakes.The maximum curvature criterion of the displacement-time curve can be used to predict the time of sliding of slopes.
Scale Adaptation for Refugee Children: Sense of School Belonging and Social Contact

This study aimed to adapt the Sense of School Belonging Scale and Social Contact Scale that can be utilized in studies conducted with Syrian refugee children. The study data were collected from 182 Syrian refugee children for the Turkish versions and from 658 for the Arabic versions. 42% of the refugee children were females and 58% were males. The children ’ s age range was 11 – 18. Statistical analysis involved tests of con ﬁ rmatory factor analysis, convergent validity, discriminant validity, and reliability (Cronbach ’ s alpha). Like the original scales, CFA revealed a one-factor structure for the Sense of School Belonging Scale and a two-factor structure for the Revised Social Contact Scale for both Turkish and Arabic versions. The analyses determined that the Turkish version ( α = .76) and Arabic version ( α = .72) of the Sense of School Belonging Scale and the Turkish version (the quantity of social contact α = .79, the quality of social contact α = .77) and the Arabic version (the quantity of social contact α =.85, the quality of social contact α =.71) of the Revised Social Contact Scale had adequate reliability. Consequently, the Turkish and Arabic versions of the Sense of School Belonging Scale and the Revised Social Contact Scale had adequate psychometric qualities to be used in determining the sense of school belonging levels and social contact features of the Syrian refugees, respectively. is one of the subscales of the School Atmosphere Scale that was developed by Cemalc ı lar (2010) using data from 799 7th and 8th graders. To test the construct validity of the scale, factor analysis was conducted for each subscale, and reliability coef ﬁ cients were calculated. Therefore, subscales could be used independently. Cronbach ’ s alpha coef ﬁ cient for the SSBS was . 79. Additionally, the ﬁ ndings indicated that both satisfaction with the social relations in the school (student – teacher relations, student – administrator relations, and student – student relations) and satisfaction with the general school environment (physical features, supporting resources, and perceived violence) were predictive of sense of school belonging. The scale has six items that are rated on a ﬁ ve-point Likert scale ranging from strongly disagree (1) to strongly agree (5). The 2nd and 3rd items are reverse coded and scored. The lowest possible score is ﬁ ve and the highest is 30. A high score indicates a high sense of school belonging. Standardized factor loads were between . 35 and . 75 for the Turkish version of the SSBS. R 2 values were examined to see how much each item explained variances in each factor. R 2 values ranged from . 12 to . 56. Z scores for the items ranged from 3.98 to 7.62 ( p < .001).
Robust Microgrid Scheduling Considering Unintentional Islanding Conditions

This work presents a novel microgrid scheduling model considering the stochastic unintentional islanding conditions as well as forecast errors of both renewable generation and loads. By optimizing the dispatch of distributed energy resources (DERs), utility grid, and demand, the proposed model is targeted to minimize total operating cost of the microgrid, including start-up and shut-down cost of distributed generators (DGs), operation and maintenance (O&M) cost of DGs, cost of buying/selling power from/to utility grid, degradation cost of energy storage systems (ESSs) and cost associated with load shedding. To capture the stochastic unintentional islanding conditions and conventional forecast errors of renewable generation and loads, a two-stage adaptive robust optimization is proposed to optimize the objective function in the worst case scenario of the modeled uncertainties. The proposed optimization is solved with the column and constraint generation (C&CG) algorithm. The result obtained ensures robust microgrid operation in consideration of all possible realization of renewable generation, demand and unintentional islanding condition. The proposed model is validated with results of case studies on a microgrid consisting of various DGs and ESSs.
Concurrent Engineering: A Partnership Approach

There is an increasing focus on product development in engineering education. This change is a response to the need for engineering graduates to be able to provide immediate and tangible benefit to manufacturing companies in an era of heightened competitiveness. The focus on integrative product development aspects in the manufacturing process have been termed concurrent or simultaneous engineering, a focus which echoes long-standing themes in product development practices.1’lz Nevertheless, presenting these ideas in undergraduate engineering education calls for a departure from the usual content and pedagogical approaches.
What Goes on Beneath the Surface of Reconfiguration? The Impact of Redeployment via Activity Addition and Subtraction on Firm Scope and Turnover

Abstract Strategy research has long understood that reconfiguration of the scope of the activities a firm engages in over time is critical to its long-run success, while under-emphasizing differences in redeployment strategy that underlie apparently similar scope and changes in scope. In this paper, we build on the idea that a firm’s number of activities (scope) and change in activities (turnover) arise from two fundamental rates of redeployment: the rate at which activities are added and the rate at which activities are subtracted. In net, the turnover rate reflects how actively a firm reconfigures its resource base by redeploying resources via addition and subtraction of activities. We develop a model that links addition and subtraction with the composition of a firm’s activities and then provide an empirical illustration using data from the U.S. Patents and Trademarks Office. As an example of one extension, the model can be generalized to incorporate elements of absorptive capacity. The analysis contributes to our understanding of how firms reconfigure their activities and provide managers with a clearer understanding of tools that guide redeployment of existing resources.
exploration into the experiences of career provision by students in 21st century Nigeria

In 2014, illustrative case study research was conducted to examine existing careers guidance interventions available to two young people in different secondary schools in Nigeria. The aim was to explore their perceptions in terms of the subjective usefulness of those interventions in an educational and labour market context within a growing economy. Analysis indicated that as well as access to careers guidance being inconsistent, the experience of the participants was that the existing provision was not sufficient to support them to develop an appreciable degree of independence, and the career management skills required to meet the demands of the 21 st century labour market in particular, and life in general.
Tunneling Analysis of Kerr-Newman Black Hole-Like Solution in Rastall Theory

Hamilton-Jacobi ansatz is used to analyze boson charged particles tunneling in Rastall gravity Kerr-Newman black hole (BH) surrounded by perfect ﬂuid matter through the horizon. The geometrical BH parameters are observed, how these are affecting the radiation utilizing the Lagrangian gravity equation. In this article, the corrected Hawking temperature is computed by considering the effects of quantum gravity. In our analysis, the Rastall gravity BH solution surround by perfect ﬂuid matter effects on Hawking radiation is analyzed graphically. Moreover, the stability and instability of Rastall gravity BH are investigated. The inﬂuence of quantum gravity and rotation parameters on BH radiation are also observed by graphical representation.
Chemical Composition, Antioxidant and Anti-Enzymatic Activity of Golden Root (Rhodiola rosea L.) Commercial Samples

The aim of the study was to compare the chemical composition of the water and hydromethanolic extracts of R. rosea commercial samples in relation to their biological activity. For this purpose, the HPLC method was used for the determination of eleven phenolic compounds and AAS/AES was used for determination of five essential elements. Moreover, the contents of total phenolic, total flavonoid, total phenolic acids, and L(+)-ascorbic acid were determined. The antioxidant activity was assessed by DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS radical scavenging activity, ferric-reducing/antioxidant power (FRAP), and cupric-reducing antioxidant capacity (CUPRAC) assays, while the inhibitory activity against AChE and BChE enzymes was determined using Ellman’s method. The results showed that the hydromethanolic extracts of R. rosea were richer in phenolic compounds and showed higher antioxidant and neurobiological activity than the water extracts. However, the water extracts gave higher contents of determined elements. Among the individual phenolic compounds gallic acid (2.33 mg/g DW) and sinapic acid (386.44 µg/g DW) had the highest concentrations in the hydromethanolic and water extracts, respectively. Moreover, the most extracts were observed to be more efficient on BChE. Moreover, the correlation analysis indicated a high positive relationship between chemical composition and biological activity in both extracts of R. rosea.
Hypoxia Induces DPSC Differentiation versus a Neurogenic Phenotype by the Paracrine Mechanism

As previously described by several authors, dental pulp stem cells (DPSCs), when adequately stimulated, may acquire a neuronal-like phenotype acting as a favorable source of stem cells in the generation of nerves. Besides, it is known that hypoxia conditioning is capable of stimulating cell differentiation as well as survival and self-renewal, and that multiple growth factors, including Epidermal Growth factor (EGF) and basic fibroblast growth factor (bFGF), are often involved in the induction of the neuronal differentiation of progenitor cells. In this work, we investigated the role of hypoxia in the commitment of DPSCs into a neuronal phenotype. These cells were conditioned with hypoxia (O2 1%) for 5 and 16 days; subsequently, we analyzed the proliferation rate and morphology, and tested the cells for neural and stem markers. Moreover, we verified the possible autocrine/paracrine role of DPSCs in the induction of neural differentiation by comparing the secretome profile of the hypoxic and normoxic conditioned media (CM). Our results showed that the hypoxia-mediated DPSC differentiation was time dependent. Moreover, conditioned media (CM derived from DPSCs stimulated by hypoxia were able, in turn, to induce the neural differentiation of SH-SY5Y neuroblastoma cells and undifferentiated DPSCs. In conclusion, under the herein-mentioned conditions, hypoxia seems to favor the differentiation of DPSCs into neuron-like cells. In this way, we confirm the potential clinical utility of differentiated neuronal DPSCs, and we also suggest the even greater potential of CM-derived-hypoxic DPSCs that could more readily be used in regenerative therapies.
Using power-law properties of social groups for cloud defense and community detection

The power-law distribution can be used to describe various aspects of social group behavior. For mussels, sociobiological research has shown that the Levy walk best describes their self-organizing movement strategy. A mussel's step length is drawn from a power-law distribution, and its direction is drawn from a uniform distribution. In the area of social networks, theories such as preferential attachment seek to explain why the degree distribution tends to be scale-free. The aim of this dissertation is to glean insight from these works to help solve problems in two domains: cloud computing systems and community detection. Privacy and security are two areas of concern for cloud systems. Recent research has provided evidence indicating how a malicious user could perform co-residence profiling and public to private IP mapping to target and exploit customers which share physical resources. This work proposes a defense strategy, in part inspired by mussel self-organization, that relies on user account and workload clustering to mitigate co-residence profiling. To obfuscate the public to private IP map, clusters are managed and accessed by account proxies. This work also describes a set of capabilities and attack paths an attacker needs to execute for targeted co-residence, and presents arguments to show how the defense strategy disrupts the critical steps in the attack path for most cases. Further, it performs a risk assessment to determine the likelihood an individual user will be victimized, given that a successful non-directed exploit has occurred. Results suggest that while possible, this event is highly unlikely. As for community detection, several algorithms have been proposed. Most of these, however, share similar disadvantages. Some algorithms require apriori information, such as threshold values or the desired number of communities, while others are computationally expensive. A third category of algorithms suffer from a combination of the two. This work proposes a greedy community detection heuristic which exploits the scale-free properties of social networks. It hypothesizes that highly connected nodes, or hubs, form the basic building blocks of communities. A detection technique that explores these characteristics remains largely unexplored throughout recent literature. To show its effectiveness, the algorithm is tested on commonly used real network data sets. In most cases, it classifies nodes into communities which coincide with their respective known structures. Unlike other implementations, the proposed heuristic is computationally inexpensive, deterministic, and does not require apriori information.
Local Economic Development Strategy through Mosque’s Islamic Leadership and Managerial Capacity

—Local economic development always requires breakthroughs to create inclusive development by involving various institutions. One of the institutional involvements initiated in this study is the presence of a mosque in solving economic problems at the local level. This study uses quantitative methods, namely Structural Equation Model (SEM) and Analytical Hierarchy Process (AHP). Islamic leadership and managerial capacity influenced the local economic development. There was a strong correlation among Islamic leadership, managerial capacity, and local economic indicators. The internalization process of Islamic Leadership is based on the leadership characteristics exemplified by the Prophet Muhammad, namely; honesty (Shiddiq), trustworthiness (Amanah), Islamic messengers (Tabligh), and smart (Fathonah) characteristics. This study found Islamic leadership has a stronger contribution than the managerial capacity to support local economic indicators. The transmission of the influence of managerial capacity to support the local economy is strongest from the management of the Mosquepreneur Program that produces local entrepreneurial power that supports regional development, especially in terms of poverty reduction. The main strategies chosen by mosque managers to support local economic development are; more concerned with partnerships than the competition, upholding Islamic business ethics, and program innovation based on community needs.
Deterministic Collision-resilient Channel Rendezvous: Theory and Algorithm

We formulate and investigate the problem of distributed channel rendezvous in collision-prone wireless networks. Existing researches on this topic are mainly devoted to designing channel hopping sequences, each pair of which can overlap on a common channel within bounded delay. However, this overlap-based canonical rendezvous design does not take into account channel collision, which may render existing rendezvous algorithms fail to achieve bounded delay in collision-prone environment. Motivated by this observation, we formulate and investigate the collision-aware channel rendezvous problem in a generic scenario, where a collision occurs if more than C packets overlap in time on a same channel. Our generic formulation allows to model both the baseline single packet reception model with C = 1 and the more sophisticated multiple packet reception model with C > 1. We further abstract the collision-aware rendezvous problem as the problem of constructing a robust rendezvous system. We establish the theoretical limit of the problem, guided by which we design a collision-resilient distributed rendezvous algorithm with truly bounded rendezvous delay. We then demonstrate the performance of our rendezvous algorithm both analytically and numerically.
Chemicals, materials, and energy from biomass : A review

There are approximately 89 million metric tonnes of organic chemicals and lubricants produced annually in the United States (1). The majority of these are fossil fuel-based materials that have the potential to become environmental pollutants during use and that carry end-of-life cycle concerns such as disposal, pollution, and degradation. As a result, the need to decrease pollution caused by petrochemical usage is currently impelling the development of green technologies. It is virtually inarguable that the dwindling hydrocarbon economy will eventually become unsustainable. The cost of crude oil continues to increase, while agricultural products see dramatic decreases in world market prices. These trends provide sufficient basis for renewed interest in the use of biomass as a feedstock and for the development of a lignocellulosic-based economy as the logical alternative to fossil fuel resources.
The Big Picture versus Minutiae: Geophytes, Plant Foods, and Ancient Human Economies

In a rejoinder to Gill et alia (2021), Martin (2022) accuses us of perpetuating misconceptions about human nutrition and erroneously describing geophytes as a dietary staple. We provide authoritative definitions for the terms “essential” and “dietary staple” to show that it is Martin who mischaracterizes and misunderstands the foundational role of geophytes and other plant foods to human diets and subsistence economies in Native North America outside of the Arctic. Recent data demonstrate that carbohydrate-rich geophytes were abundant, regularly utilized, and essential resources on the Northern Channel Islands, a dietary staple that was a rich source of calories and complemented the protein-rich shellfish and finfish that were also staple foods for the Island Chumash.
Development of Self-Sensing Cement Composite Using Nanomaterials for Structural Health Monitoring of Concrete Columns – A Comprehensive Review

Abstract. Due to age, structural deterioration, and other factors, concrete constructions such as beams and columns will inevitably deteriorate. The growth of nanomaterials and recent advances in multidisciplinary research has broadened cement composites' applicability in various fields. A self-sensing cement composite can detect its own deformation, strain, and stress by changing its electrical characteristics, which may be measured with electrical resistivity. Carbon-based nanomaterials, such as carbon fiber, carbon black, and carbon nanotube, have a strong potential to increase cement composite's mechanical (strength) and electrical (resistivity, sensitivity) potentials due to their remarkable strength and conductivity. Due to the artificial integration of conductive carbon-based components will generate piezoresistive properties in typical cement composites, transforming them into self-sensing cement composites. As a result, the review focuses primarily on the development of nanoparticle-based self-sensing cement composites and their use in the health monitoring of structural columns. This research critically examines the materials used, fabrication techniques, strength, and sensing methodologies used to develop the self-sensing cement composite. The difficulties of commercializing self-sensing cement composites, as well as potential solutions, are also highlighted. According to the review, the difference in Poisson ratio and youngs modulus between the self-sensing cement composite and columns leads the self-sensing cement composite to have different strength and conductivity before and after embedding in columns. According to the study, the addition of conductive material diminishes the composite's workability due to its large specific surface area. Because of the well-distributed conductive network, the composite's resistivity is significantly lowered. The study also shows that the inclusion of a self-sensing cement composite has no bearing capacity influence on the column. Finally, according to the review, the self-sensing cement composite has the ability to monitor the health of structural columns.
Antibody Response to COVID-19 mRNA Vaccines in Oncologic and Hematologic Patients Undergoing Chemotherapy

Background: Information on immune responses in cancer patients following mRNA COVID-19 vaccines is still insufficient, but generally, patients had impaired serological responses, especially those with hematological malignancies. We evaluated serological response to COVID-19 mRNA vaccine in cancer patients receiving chemotherapy compared with healthy controls. Methods: In total, 195 cancer patients and 400 randomly selected controls who had been administered a Pfizer-BioNTech or Moderna COVID-19 vaccines in two doses were compared. The threshold of positivity was 4.33 BAU/mL. Patients were receiving anticancer treatment after the first and second dose of the vaccines. Results: a TOTAL OF 169 patients (87%) had solid tumors and 26 hemolymphopoietic diseases. Seropositivity rate was lower in patients than controls (91% vs. 96%), with an age/gender-adjusted rate ratio (RR) of 0.95 (95% CL = 0.89–1.02). Positivity was found in 97% of solid cancers and in 50% of hemolymphopoietic tumors. Both advanced and adjuvant therapy seemed to slightly reduce seropositivity rates in patients when compared to controls (RR = 0.97, 95% CL = 0.89–1.06; RR = 0.94, 95% CL = 0.87–1.01). Conclusions: the response to vaccination is similar in patients affected by solid tumors to controls. On the contrary, hemolymphopietic patients show a much lower response than controls.