Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychological and Occupational Pressure Among Female Teachers in Light of the Coronavirus Disease Pandemic and Coping Strategies

This study aims at identifying the level of psychological and professional stress in light of the Coronavirus disease (COVID-19) pandemic. It adopted descriptive and analytical methodologies. Two scales were prepared: one scale for psychological and professional stress and the other for coping with psychological and professional pressures. The study sample consisted of 608 female teachers at public schools in Al-Kharj province, Kingdom of Saudi Arabia (KSA). The results show a moderate level of psychological and professional stresses. The findings show statistically significant differences in teaching experience variable. The differences were in favour of female teachers with experience of less than 5 years. However, no statistically significant differences were found on the variable of academic qualification. It was found that female teachers had followed strategies to cope with psychological and professional stresses including resorting to faith, connecting with other teachers and students, planning different strategies, seeking help from others and managing time. The study recommends arranging training courses for female teachers to develop remote teaching skills and using various technologies and applications in this field particularly during the ongoing COVID-19 pandemic.
Gross Total Resection of Childhood Intracranial Ependymoma is a Critically Important Factor in Survival

METHODS In the past two decades, 28 patients with pediatric intracranial ependymoma who received postoperative radiotherapy in our institute were evaluated statistically in terms of prognostic factors and survival. Progression-free survival (PFS) and overall survival (OS) were analyzed using the Kaplan-Meier method. Possible prognostic factors, such as sex, histopathological grade, the extent of resection, tumor location, spinal metastasis, and chemotherapy were also analyzed by log-rank test.
On Semi-Empirical Liner Impedance Modeling with Grazing Flow

Noise is created at the front of turbofan engines where a large-diameter fan spins at high speed to continuously compress a large volume of air. The engine is wrapped in a nacelle that has acoustic treatment to damp and absorb noise generated by the fan. This acoustic treatment is commonly of the locally reacting type. The impedance of these liners is what determines their efficiency to absorb sound waves. A lot has been published on modeling the impedance of liners, but there are still some unanswered questions. There are different criteria for defining the end correction that is added due to the finite length of the orifices and the effect of the interaction between neighboring orifices. There are several models available for the effect of grazing flow. The aim of the current paper is to contribute to answering some questions through impedance measurements on a large number of liners with grazing flow. Empirical expressions for the liner impedance were deduced. The perforate model is also of interest to the car silencers applications. A new impedance measurement technique is also proposed in this paper, which is based on liner educing methods.
Investigation of Evalglare software, daylight glare probability and high dynamic range imaging for daylight glare analysis

The latest glare metric, called daylight glare probability (DGP), has been developed specifically for daylight glare issues inside a building. Unlike other glare indices, DGP considers vertical illuminance values at the human eye when evaluating different levels of discomfort glare. One of the options to calculate DGP is to use a high dynamic range imaging (HDRI) technique and Evalglare glare analysis software. This paper briefly shows USC Watt Hall 3rd floor interior glare study results and explains the inconsistent glare evaluations from different glare indices. Then, an additional study thoroughly investigates Evalglare algorithms and HDR image capturing procedures. Pathological cases were set up inside the office on USC Watt Hall 3rd floor and tested to see if the results are as predicted by the algorithms.
Dealing with sentient surplus: A moral economy of greyhound rehoming

This paper explores greyhound rehoming as a practice through which the sentient surplus of New Zealand's racing industry is dealt with. We bring nature-society geography and moral economy scholarship into productive alignment to ask how and to what effect new forms of value are (re)generated from greyhound bodies and lives that have been cast outside the pale of value as surplus. Accounts offered by both literatures tend not to venture beyond the commodity and are yet to fully engage with the entangled nature of morality and the economy. We seek to address these gaps by mapping the workings of a project that attempts to deal with the moral-economic excess of a capitalist nature(culture). By drawing on interviews with five key rehoming actors and an analysis of industry-affiliated documentary material, we trace the material and discursive practices that are aligned around surplus greyhounds in the interest of making value realisable again. Out of our analysis emerge three configurations through which the bodies and labours of these creatures are brought back into the pale of value: as companions-in-waiting, as undead things, and as transformational figures. While these orientations are contested and the value generated from them unevenly distributed, they see value in this capitalist natureculture be reworked so that accumulation can continue. We argue that sentient surplus is a productive paradox that allows the moral and the political to be brought into a fraught but ultimately productive alignment that obscures the contingencies, asymmetries and grim realities of value creation and distribution in greyhound worlds.
Factors influencing trust in medical artificial intelligence for healthcare professionals: a narrative review

Objective: We performed a comprehensive review of the literature to better understand the trust dynamics between medical artificial intelligence (AI) and healthcare expert end-users. We explored the factors that influence trust in these technologies and how they compare to established concepts of trust in the engineering discipline. By identifying the qualitatively and quantitatively assessed factors that influence trust in medical AI, we gain insight into understanding how autonomous systems can be optimized during the development phase to improve decision-making support and clinician-machine teaming. This facilitates an enhanced understanding of the qualities that healthcare professional users seek in AI to consider it trustworthy. We also highlight key considerations for promoting on-going improvement of trust in autonomous medical systems to support the adoption of medical technologies into practice. Background: decision support systems introduces challenges and barriers to adoption and implementation into clinical practice. Methods: We searched databases including, Ovid MEDLINE, Ovid EMBASE, Clarivate Web of Science, and Google Scholar, as well as gray literature, for publications from 2000 to July 15, 2021, that reported features of AI-based diagnostic and clinical decision support systems that contribute to enhanced end-user trust. Papers discussing implications and applications of medical AI in clinical practice were also recorded. Results were based on the quantity of papers that discussed each trust concept, either quantitatively or qualitatively, using frequency of concept commentary as a proxy for importance of a respective concept. Conclusions: Explainability, transparency, interpretability, usability, and education are among the key identified factors thought to influence a healthcare professionals’ trust in medical AI and enhance clinician-machine teaming in critical decision-making healthcare environments. We also identified the need to better evaluate and incorporate other critical factors to promote trust by consulting medical professionals when developing AI systems for clinical decision-making and diagnostic support.
Intergroup Contact, Intergroup Anxiety, and Attitudes towards the Opposing Group in Divided Society

The negative attitudes and negative emotions play a key role in maintaining the hostilities between the groups of a divided society. Evidence suggests that intergroup contact can improve or worsen intergroup attitudes. The current study examined the mediating role of intergroup anxiety on quantity of interethnic contact and acculturation attitudes and emotional responses to contradictory conflict narratives in a divided society with a background of armed conflict in the past. The study was conducted among 202 Albanians and 239 Serbs in Kosovo. The results indicate that as more as they meet members of the opposing group the less they feel intergroup anxiety and the more they show acculturation attitudes towards the opposing group among both Albanians and Serbs. However, such mediating role of intergroup anxiety was not found on emotional responses to contradictory conflict narratives, except among Serbs who live in certain enclaves. The findings are discussed in terms of context, reconciliation, and maintenance of frozen conflict.
Evaluating Georgia's Compaction Requirements for Stone Matrix Asphalt Mixtures

This study determined a compaction level for stone matrix asphalt (SMA) mixes with the Superpave® gyratory compactor (SGC) that would match a 50-blow Marshall compaction using aggregates and mix designs common in Georgia. SMA mix designs were prepared with five aggregate sources using a 50-blow Marshall compaction and using 50, 75, and 100 gyrations with an SGC. Optimum asphalt contents from the mix designs were compared. Aggregate breakdown from each of the compactions was analyzed. Laboratory rutting tests were conducted on each mix design by using the asphalt pavement analyzer (APA). Results of the laboratory mix designs indicated that generally 35 gyrations in the SGC provided the same density as Marshall compaction. At 50 gyrations, the optimum asphalt contents for the SMA mixtures were 0.1% to 0.5% less than when the Marshall hammer was used; however, four of the five mix designs with 50 gyrations met Georgia Department of Transportation (DOT) specifications. Aggregate breakdown was slightly less with the SGC than with the Marshall hammer. APA tests showed that the mix designs were not sensitive to asphalt content, and all passed Georgia DOT requirements. Testing with plant-produced SMA mixtures confirmed that 34 gyrations in the SGC yielded specimen densities equivalent to the Marshall compaction. For the plant-produced mixtures, compaction in the SGC caused less aggregate breakdown than with the Marshall hammer. The field mixtures also performed well in APA testing. On the basis of results from the laboratory and field mixes, 50 gyrations are recommended with the SGC to replace 50-blow Marshall compaction for SMA mix design in Georgia.
Reflections on globalization processes in geopolitical thought since the second half of the 20th century

Research background: Geopolitical thought at the turn of the 19th and 20th centuries was among the first to accentuate a global dimension of international politics. It stagnated in the context of WWII, however, the adoption of geopolitical approaches in U.S. foreign policy concepts contributed to its revival during the Cold War and its rapid development in the 1990s because of the need to address the changes in the power-political and spatial-political structures of the world. The relationship between geopolitical thought and globalization, however, remains controversial. In academic literature, geopolitics and globalization are perceived either as compatible or as incompatible phenomena. Purpose of the article: The paper aims to outline how geopolitical thought has reflected the development of globalization processes and how it has changed with this development since the 2nd half of the 20th century. Methods: Analytical-synthetic and historical-comparative methods are used for the study of globalization development and content analysis and comparative methods are employed to map the development of geopolitical thought and its reflection of globalization. Findings & Value added: The development, direction and consequences of globalization have been reflected in geopolitical thought mainly since the 1990s. As a result, new trends in geopolitical thought have been established; apart from the changes in the power-spatial and political-spatial structures of the world studied by classical geopolitical thought, they also reflect the relationship between global and local, an acceleration in contradictory processes in the world caused by economic, cultural, demographic, information and other factors of spatial control.
Outage probability and ergodic capacity of free-space optical links over strong turbulence

The performance of a free-space optical (FSO) communication system under strong turbulence regime that follows the K distribution is evaluated. Some useful channel statistics are derived in closed form and the outage probability and ergodic capacity for a single-input single-output FSO link are evaluated. Numerical examples are further presented to verify the accuracy of the derived mathematical expressions.
Computational Failure Analysis of In-Memory RRAM Architecture for Pattern Classification CNN Circuits

Power-efficient data processing subsystems performing millions of complex concurrent arithmetic operations per second form part of today’s essential solution required to meet the growing demand of edge computing applications, given the volume of data collected by real-time Internet-Of-Things (IoT) sensors. Adding to it, the in-memory computation designed as memory and processing elements on a single wafer has enabled promising performance improvement in terms of computational power savings by avoiding the memory wall created while accessing the memory array. The Resistive RAM (RRAM), with its simple metal-insulator-metal (MIM) structure, proves to be a very appealing candidate for in-memory computation given its ultralow switching power and its Complementary Metal Oxide Semiconductor (CMOS) process fabrication compatibility. However, despite all advantages, the resistive switching phenomenon in RRAM has an inherent stochastic variability. On the algorithmic side, convolution neural networks (CNN) have gained popularity in image classification applications, and the network’s architecture is memory-intense in nature for memorizing the trained weights. Hence, an RRAM-based CNN system will pave way for a power-efficient image classification system on the edge. Accounting however for the inherent variability in RRAM (inter-device and intra-device), the accuracy of CNN’s prediction is surely expected to drop. This motivates us to quantify the impact of RRAM variability on the CNN trained weights and classification accuracy (prediction loss). In this study, we have constructed a Look-Up-Table (LUT) based model for encoding wide current compliance (2μA to 250μA) 65nm CMOS 1T1R OxRAM’s (TiN/HfO2/Hf/TiN) resistive variability into CNN’s trained weight in a digital regime. The RRAM resistance encoded trained weights are in turn used here to simulate the two extreme CNN architectures, namely, Fully Serial System (FSS) and Fully Parallel System (FPS). The architectures’ prediction variability trends are quantified given its current compliance, RRAM resistive variability, CNN’s convolution matrix sizes (5×5, 3×3, 1×1, and 1×1 max pool), the total number of layers in the CNN as well as the input image pixel size.
Tactile Slip Detection in the Wild Leveraging Distributed Sensing of both Normal and Shear Forces

The ability to detect that a grasped object is slipping from the robot gripper is a crucial skill for autonomous robotic manipulation. However, current solutions for automatic slip detection do not perform well in real-world unstructured settings, in which a wide variety of gripper-object interactions could occur. Tactile and force sensing are the most suitable sensory modalities to detect such events, and the recent technological advances in the field are generating novel interesting opportunities. In this work, we propose a data-driven method for automatic slip detection that leverages a novel sensor, which combines the advantages of tactile and force sensing, i.e. distributed measurements of normal and shear contact forces. Interestingly, our model is trained (and tested) uniquely with data obtained during routine robot operations (i.e. in the wild) rather than during a controlled data collection procedure. We compare different sets of tactile/force features to highlight the advantages provided by the different sensory modalities, and we report results that show good detection performances on our in-the-wild dataset, which we make publicly available.
Full Length Research Paper Growth Performance and Carcass Composition of Karadi, Awassi and their Crossbred raised under two feeding levels

daily gain in weight, dressing percentage based on slaughter and empty body weight, rib eye area and fat thickness averaged are 0.223±0.11 kg, 49.70± 0.33%, 57.41 ± 0.34%, 12.90 ±0.37 cm 2 and 2.57 ± 0.18 mm, respectively. Neither breed nor level of feeding affect the above traits except that Awassi lambs had significantly (p<0.05) thicker fat than Karadi and crossbred lambs. It seems that crossbred carcasses were significantly (p<0.05) leaner (61.85± 0.81%) than Awassi (57.74±1.43%) and Karadi (61.07 ± 0.76%). Also, lambs received diet ad lib was significantly (p<0.05) leaner (61.33± 0.92%) than lambs fed 4% concentrate. All muscle groups are not affected by breed and level of feeding except of distal hind limb which was significantly (p<0.05)higher in lambs fed 4% concentrate compared to lambs fed concentrate ad lib . The percent contribution of carcass and non carcass fat to the total body fat was 59.48± 1.19 and 40.51 ± 1.19, respectively.
Corporate Environmental Social Governance and Financial Performance: A Cross-sector Risk Analysis in Malaysia

This study contributes to the existing literature on corporate Environmental Social Governance (ESG) by examining the relationship between ESG performance and firm performance. The scope of ESG practices across Malaysian Public Listed Companies (PLCs) in various risk-level industries (i.e., high, medium, and low) is investigated in this study. The resource-based view (RBV) was applied to a sample of pioneer ESG companies with seven years of observations extracted from Bloomberg’s ESG data. The quantitative method employed was panel data, specifically, the seemingly unrelated regression (SUR) model and comparison of different levels of risk sectors (high, medium, and low), with the aim of achieving robust results. Based on trend analysis, the medium-risk sectors and governance mean performance exhibited the best achievement in seven years of observation. Tobin's Q demonstrated that the market value and replacement value of physical assets are more reliable indicators of asset utilisation in the medium-risk sector than the ROA. While all PLCs across all industries receive green efforts, medium-risk sectors, such as housebuilders and developers, telecommunications, and consumer goods, are proactive in offering green products and services that directly impact consumers' daily lives. However, there is development potential and an extraordinary opportunity for both high-risk and low-risk industries. Improved planning and a more favourable business climate would enable all industries to widen their ESG objectives. Simultaneously, it is possible to identify and replicate the best practices in medium-risk ESGs to advance and attract investment in these two sectors. This study adds to the existing body of knowledge about the impact of business accountability and responsibility by examining cross-sector risk in Malaysia, a previously unstudied context.
Structural Vibration Control via R-L Shunted Active Fiber Composites

This article presents a successful extension of passive R-L shunt damping to piezoelectric ceramic elements working in direct 3-3 mode and a performance comparison to elements working in indirect 3-1 mode. A new circuit topology is implemented to synthesize the very large inductances required by the low inherent piezoelectric device capacitance at relatively low frequencies. This allows for efficient tuning of the R-L circuit to the structure resonance frequency to be damped. The vibration suppression performance of monolithic piezoelectric ceramic actuators and active fiber composites is compared in this study. For this purpose, different actuators are bonded on aluminum cantilever plates. An integrated FE model is implemented for the prediction of structure resonance frequencies, optimum values for electric components, and the resulting vibration suppression performance. The passive structure, bonded active patch, and shunted electrical network are analyzed within the same FE model. Active fiber composite patches working in the direct 3-3 mode show equivalent specific damping performance compared to conventional monolithic 3-1 actuated patches. Issues related to the sensitivity of R-L shunts to variations in environmental and operational conditions are discussed in this study. In short, monolithic actuators operating on the 3-1 piezoelectric effect seem to be the best for use in R-L shunting.