Miracle-dz/UniFAR-FTUs huggingface dataset:
Organizational Justice: A Predictor of Job Satisfaction among Hospital Nurses

: Nurses perception of organizational justice is an important predictor of healthy work environment that facilitate achievement of occupational goals, professional resilience, and nurses' job satisfaction. This environment positively impacts quality of patients' outcomes. Aim: The study aimed to explore the relationship between level of organizational justice and the level of job satisfaction among nurses. Methods: A descriptive correlational research design through a self-administered questionnaire was used to examine the relationship between organizational justice and job satisfaction among hospital nurses. A convenience sample of 313 nurses from one of the governmental universities in the delta region of Egypt completed the questionnaires. Results: Data revealed that nurses had low level of organizational justice and low level of job satisfaction. There was a significant positive correlation between total score of organizational justice and job satisfaction at (p=0.01), and highly statistically significant positive correlation between levels of organizational justice subcategories and total score job satisfaction among study sample at (p=0.000). A significant correlation was also found among organizational justice, job satisfaction, gender, hospital type, and experience. Education was positively correlated to job satisfaction only. Conclusion: There was positive correlation between organizational justice and job satisfaction. Therefore, frontline nursing managers need to develop a justice-based system practice transparency in all daily nursing activities to improve nurses' job satisfaction.
BLOOFINZ - Gulf of Mexico Microbial food web dynamics in the oceanic Gulf of Mexico

Phytoplankton growth and microzooplankton grazing rates were measured in repeated proﬁles of dilution experiments incubated in situ on a drift array in order to assess microbial production and food web characteristics in the oligotrophic blueﬁn tuna spawning habitat of the Gulf of Mexico (May peak spawning seasons, 2017–2018). Grazing often exceeded growth with the processes more balanced overall in the surface mixed layer
Effect of Implementing Stress Management Techniques on Head Nurses´ Job Performance

: The healthcare work environment is a source of work overload and stress. Stress management is critical for creating a healthy work environment for nursing practice, which represents a priority for improving head nurse performance and promoting patient care quality and safety. Aim : to study the effects of implementing stress management techniques on head nurses' job performance. A quasi-experimental research design was utilized. The study was conducted at all the departments of General Belbese hospital. Sample : all available head nurses (n = 40) during the data collection period. Two tools were used: the stress management techniques assessment questionnaire and the head nurse performance evaluation scale. Results: The total stress management techniques skills improved statistically significantly after and during the follow-up intervention compared to the pre-intervention evaluation. In addition, there was a statistically significant positive correlation between the total stress management techniques skills score and the overall performance score of the head nurses during different phases of the training programme (P > 0.001). Conclusion : The implementation of stress management techniques was associated with significant improvement and a positive impact on the head nurses' skills in stress management and job performance. Recommendation : Conduct ongoing and regular in-service educational programmes about stress management techniques, as well as other improvement activities like seminars, conferences, and workshops, to help head nurses improve their performance. Also, incorporate the concept of stress management into the nursing faculty and school curriculum.
The Future of Social Networks on the Internet

“I read somewhere that everybody on this planet is sep-arated by only six other people. Six degrees of separa-tion between us and everyone else on this planet. ThePresident of the United States, a gondolier in Venice, justfill in the names . It’s not just big names — it’s anyone.A native in a rain forest, a Tierra del Fuegan, an Eski-mo. I am bound — you are bound — to everyone on thisplanet by a trail of six people. ”—John Guare
improve-Single-step genomic predictions for heat tolerance of production yields in US Holsteins and Jerseys

The physiological stress caused by excessive heat affects dairy cattle health and production. This study sought to investigate the effect of heat stress on test-day yields in US Holstein and Jersey cows and develop single-step genomic predictions to identify heat tolerant animals. Data included 12.8 million and 2.1 million test-day records, respectively, for 923,026 Holstein and 153,710 Jersey cows in 27 US states. From 2015 through 2021, test-day records from the first 5 lactations included milk, fat, and protein yields (kg). Cow records were included if they had at least 5 test-day records per lactation. Heat stress was quantified by analyzing the effect of a 5-d hourly average temperature-humidity index THI 5 d ( ) on observed test-day yields. Using a multiple trait repeatability model, a heat threshold (THI threshold) was determined fowr each breed based on the point that the average adjusted yields started to decrease, which was 69 for Holsteins and 72 for Jerseys. An additive genetic component of general production and heat tolerance production were estimated using a multiple trait reaction norm model and single-step genomic BLUP methodology. Random effects were re-gressed on a function of 5-d hourly average THI 5 d ( ) and THI threshold. The proportion of test-day records that occurred on or above the respective heat thresholds was 15% for Holstein and 10% for Jersey. Heritability of milk, fat, and protein yields under heat stress for Hol-steins increased, with a small standard error, indicating that the additive genetic component for heat tolerance of these traits was observed. This was not as evident in Jersey traits. For Jersey, the permanent environment explained the same or more of the variation in fat and protein yield under heat stress indicating that nonge-netic factors may determine heat tolerance for these Jersey traits. Correlations between the general genetic merit of production (in the absence of heat stress) and heat tolerance genetic merit of production traits were moderate in strength and negative. This indicated that selecting for general genetic merit without consideration of heat tolerance genetic merit of production may result in less favorable performance in hot and humid climates. A general genomic estimated breeding value for genetic merit and a heat tolerance genomic estimated breeding value were calculated for each animal. This study contributes to the investigation of the impact of heat stress on US dairy cattle production yields and offers a basis for the implementation of genomic selection. The results indicate that genomic selection for heat tolerance of production yields is possible for US Holsteins and Jerseys, but a study to validate the genomic predictions should be explored.
Sloth: Key Stretching and Deniable Encryption using Secure Elements on Smartphones

Traditional key stretching lacks a strict time guarantee due to the ease of parallelized password guessing by attackers. This paper introduces Sloth, a key stretching method leveraging the Secure Element (SE) commonly found in modern smart-phones to provide a strict rate limit on password guessing. While this would be straightforward with full access to the SE, Android and iOS only provide a very limited API. Sloth utilizes the existing developer SE API and novel cryptographic constructions to build an effective rate-limit for password guessing on recent Android and iOS devices. Our approach ensures robust security even for short, randomly-generated, six-character alpha-numeric passwords against adversaries with virtually unlimited computing resources. Our solution is compatible with approximately 96% of iPhones and 45% of Android phones and Sloth seamlessly integrates without device or OS modifications, making it immediately usable by app developers today. We formally define the security of Sloth and evaluate its performance on various devices. Finally, we present HiddenSloth, a deniable encryption scheme, leveraging Sloth and the SE to withstand multi-snapshot adversaries.
RECENT TRENDS IN AI, NEUROMORPHIC COMPUTING ARCHITECTURES FOR ARTIFICIAL INTELLIGENCE

: The goal of this study is to close the gap between theory and real-world application by focusing on neuromorphic computing architectures for artificial intelligence (Al). This study underlines the critical role of AI in influencing the future of computational architecture for AI systems by evaluating AI integration, optimizing computational systems, and investigating real-world applications. Artificial intelligence (AI) has seen remarkable progress in recent years, with the rapid advancement of neural networks and machine learning algorithms. However, the computational demands of AI tasks often exceed the capabilities of conventional digital computing architectures. Neuromorphic computing, inspired by the human brain's architecture and functioning, has emerged as a promising alternative to bridge this computational gap. This research paper presents a comprehensive review and analysis of neuromorphic computing architectures for AI applications. The paper begins by providing an overview of the fundamental principles of neuromorphic computing, highlighting its biological inspiration, such as spiking neural networks, and its efficient utilization of analog and event-based processing. The advantages and limitations of neuromorphic systems are discussed in comparison to traditional von Neumann computing architectures, emphasizing their potential for low-power, real-time, and brain-like computation. The paper delves into case studies and practical applications of neuromorphic computing in AI, including computer vision, natural language processing, robotics, and edge computing. It explores how neuromorphic hardware accelerators, such as IBM's TrueNorth and Intel's Loihi, have demonstrated significant gains in energy efficiency and performance for AI tasks. Moreover, the research paper examines the challenges and future prospects of neuromorphic computing, including scalability, programming models, and integration with existing AI frameworks. The potential impact of neuromorphic architectures on the development of intelligent systems is highlighted, emphasizing their potential to unlock new frontiers in AI research and applications. In conclusion, this paper underscores the growing significance of neuromorphic computing architectures in the field of artificial intelligence. It highlights the promising results achieved by combining brain-inspired hardware with AI algorithms and emphasizes the need for further research and development to harness the full potential of neuromorphic computing in enabling more efficient, versatile, and brain-like artificial intelligence systems.
Design and analysis of RCA in Subthreshold Logic Circuits Using AFE

: The present scenario of the circuit subthreshold CMOS logic circuits is becoming increasingly popular energy-constrained applications where high performance is not required. Minimum energy consumption of digital logic circuits can be obtained by operating in the subthreshold regime. However, in this regime process variations can result in up to order of magnitude variations in I ON / I OFF ratios leading to timing errors, which can have a destructive effect on the functionality of the subthreshold circuits. These timing errors become more frequent in scaled technology nodes where process variations are highly prevalent. Therefore, mechanisms to mitigate these timing errors while minimizing the energy consumption are required. In this proposed work, Low power subthreshold logic circuits using adaptive feedback equalizer circuit is designed. The adaptive equalizer technique is used with a sequential digital logic to mitigate the process variation effects and reduce the dominant leakage energy components in the subthreshold digital logic circuits. The performance of the proper circuit is evaluated for different input voltages, other work for 4 bit Ripple Carry Adder in designed using to the logic gate size and power is discussed in the simulation is successfully in verified with the help of Microwind and Dsch tool.
Ultrastructural Organization of the Muscular System Body of the Trematode Schistogonimus Rarus

: It is known that parasitic flatworms of the class Trematoda have a unique complex life cycle, and have morphological features of adaptation, movement, and existence in the host body. Functional peculiarities of the parasitic way of life are conditioned by the developed muscular system, due to which there is movement and attachment of the snail to various organs of the host. To date, one of the main tasks of parasitology is the study of tissues and organs of parasitic worms, which can expand our ideas about the biology of trematodes and allow us to take a new look at their structure and functions. The study of the functional morphology of the trematode muscle sac allows us to elucidate the peculiarities of trematode locomotion and attachment. This article deals with the structural organization of the muscular elements of the musculocutaneous sac of the trematode Schistogonimus Rarus. On the basis of ultrastructural studies, the functional mechanisms that ensure the movement and attachment of Schistogonimus Rarus trematodes to individual organs of the host have been revealed. In addition, data were obtained on the peculiarities of the structure of individual tissues, organs, and systems. As a result of the analysis of the obtained data, it was revealed that the ultrastructural features of the muscles of the skin-muscular sack of trematodes are formed on the basis of the modification capabilities of smooth muscle cells and tissues. The results of the work can be used as a basic material for further studies on the selection of anthelmintics acting on the muscular system of trematodes, which will lead to significant effectiveness of preventive measures.
: An Effective Speaker Diarization System for Meeting Data

In this paper, we present SphereDiar , a speaker diarization system composed of three novel subsystems: the Sphere-Speaker (SS) neural network, designed for speaker embedding extraction, a segmentation method called Homogeneity Based Segmentation (HBS) and a clustering algorithm called Top Two Silhouettes (Top2S). The system is evaluated on a set of over 200 manually transcribed multiparty meetings. The evaluation reveals that the system can be further simpliﬁed by omitting the use of HBS. Furthermore, we illustrate that SphereDiar achieves state-of-the-art results with two different meeting data sets.
The radiative impact of biomass burning aerosols on dust emissions over Namibia and the long-range transport of smoke observed during AEROCLO-sA

The radiative effects of biomass burning aerosols (BBAs) on low-level atmospheric circulation over southern Africa are investigated on 5 September 2017 during the Aerosols, Radiation and Clouds in southern Africa (AEROCLO-sA) field cam-paign. This is conducted using a variety of in situ and remote sensing observations, as well as 5-day twin ensemble simulations made with the Meso-NH mesoscale model, one including the direct and semi-direct radiative effects of aerosols and one in 5 which these effects are not included. We show that the radiative impact of BBA building up over a period of 5 days in the Meso-NH simulations can lead to significantly different circulations at low-and mid-levels, thereby affecting dust emissions over southern Namibia and northwestern South Africa as well as the transport of BBA in a so-called “river of smoke”. While most of the regional scale dynamics, thermodynamics and composition features are convincingly represented in the simulation with BBA radiative effects, neglecting the radiative impact of BBA leads to unrealistic representations of (i) the low-level jet 10 (LLJ) over the plateau plateau, which is the main low-level dynamic feature fostering dust emission, and (ii) the mid-level dynamics pertaining to the transport of BBA from the fire-prone regions in the Tropics to the mid-latitudes.
Fair value accounting and bank’s profitability under the adoption of IFRS: Evidence from the Scandinavian banking sector

The research paper re-examined the internal determent's of bank's profitability with extends the literature by examining the implications of fair value accounting (FVA). Via applying GMM linear model interaction instruments, on Scandinavian banks for the period span from 2011 to 2018. Whereas, internal determinants of banks profitability models were performed in different scenarios; asset quality, liquidity, and capital adequacy. On average, "Sweden and Denmark" shows that asset quality and capital adequacy have a tendency to have a positive effect on ROAA and ROAE with FVA. The favorable results due to the impaired loans and the loan loss provision are low. While the negative effect of liquidity due to the high percentage of the asset is tied up in form of a loan. With, Norway the results reveal that FVA induces a various negative effect on bank's profitability of credit risk transfer and liquidity (reserve-to-deposits, and loan portfolio) which leads to high leverage "artificial volatility" of equity funding, increase the cost of capital, and extend economic cycles over its pro-cyclical effects. Moreover, FVA has high magnitude effect on shareholder wealth. Thus, the study recommends classifying the cash flow characteristics of the financial assets based on the liquidity level, and the segments of the market that could improve long-term profitability.
Indigenous Porcine Gastro-intestinal Tract as Veritable Source of Probiotic Isolates

Piglets weaning age is usually fast tracked to between 3-4 weeks for economic reasons. This burdens the immature gastro-intestinal tract of the weaned piglets with associated post weaning diarrhoeal syndromes (PWDs). In the European Union, the use of antibiotics as growth promoter in animal feed has been banned since 2006, so, in an attempt to finding alternative to the management of PWDs, this research was designed to isolate and characterize probiotic from indigenous South African Windsnyer pig breed. Four isolates namely: Lactobacillus reuteri ZJ625, Lactobacillus reuteri VB4, Lactobacillus salivarius ZJ614 and Streptococcus salivarius NBRC 13956 were characterized based on their probiotic attributes. The isolates resisted bile salt up to 1.2%v/v and survive at low pH of 3 with OD 590 values ranging from 0.45 to 1.26 after 12 h incubation. From the adherence and survival assay, the average viable cell count after 6h incubation is 5.15 × 10 8 cfu/mL, with the highest viable count of 9.4 × 10 8 cfu/mL observed in Lactobacillus salivarius ZJ614 after 6 h of incubation. These results revealed probiotics that could be used in pig husbandry, efforts are on-going to further characterise these probiotics, develop a porcine gastro-intestinal model and ultimately establish an in vivo protocol.
Analogical Proportions and Betweenness

Analogical proportions are quaternary relations of the form “ 𝑎 : 𝑏 :: 𝑐 : 𝑑 ”, read as “ 𝑎 is to 𝑏 as 𝑐 is to 𝑑 ”, that are prominently used for analogical reasoning. The special case of continuous analogical proportions “ 𝑎 : 𝑏 :: 𝑏 : 𝑑 ”, where the second and third argument are identified, naturally leads to a (ternary) betweenness relation. In case the inputs of the relations are concepts, continuous analogical proportions prove to be relevant for ideas of concept blending from cognitive science. In this paper we embark on a study on the relation between these two fundamental structures focusing on the question how to define analogical proportions based on betweenness relations. We show how to define prominent analogical proportions discussed in the literature with minimal assumptions on the betweenness relation. Furthermore we show how to extend the results if the definitions are required to be inverse in the sense that the continuous version of the defined analogical proportion is the betweenness relation. Last we give a first result on decomposability, showing that with a sufficiently strong betweenness relation an analogical proportion is definable that can be naturally decomposed in a binary relation denoted by “::” and a binary function denoted by “:”.
Effects of Non-financial and capacity building services on the Welfare of Households: Evidence from Homabay Sub-County Town, Homabay County Kenya

: Microfinance play a greater role in the social economic development of the households in terms of providing employment and the general contribution in an economy through the output of goods and services. The socio-economic development and growth of Homabay majorly depend on farming and small scale enterprise. A large number of those working in these sectors are those with low income who do not qualify for financial assistance from the commercial banks and thus their main source of credit facilities is the microfinance institutions. In this study, the researcher sought to find out the effects of non-financial and capacity building services on the welfare of the households in Homabay town. The study was majored on the customers who got their services from the selected microfinance institutions within Homabay. Using a sample data set of 321, a survey was conducted using questionnaires to collect data from the respondents. The study revealed that the non-financial packages and capacity building it clearly show such services play a greater role on the improvement of households welfare. More emphasis should be made on the importance of capacity building and how it can help the households to improve their skills in the management of the resources they receive from the microfinance institutions. Through capacity building services default cases shall reduce as the households will properly utilize the amount borrowed in the best way which in return will boost their income and ensure repayments are done as agreed between the households and the financial institutions. Secondly for those households who may not be able to handle financial services well the best way out is to enhance provision of non-financial services. Thus rigorous training in the form capacity building among households should be maintained so that residents can maximize their potentials within the microcredit facilities.
Early Warning for Forced Displacement

Anticipatory action holds the potential to increase efficiency and timeliness of the humanitarian response in crises. Nevertheless, successfully exploiting the potential of anticipatory action requires the early–and especially reliable–detection of future crisis events. To accommodate the need for early event detection, multiple early warning initiatives are currently sprouting in the humanitarian sector. For example, early warning initiatives in natural hazards (e.g., OCHA) and conflict (e.g., ViEWS-Uppsala/PRIO) are increasingly able to accurately predict future events with the help of quantitative modeling. However, neither the prediction of natural hazard events nor of conflict is sufficient to predict significant displacement movements within countries of origin or across their borders. Such events usually contribute to forced displacement, but the environment in which they occur impacts their overall effect on the magnitude of forced displacement. As such, they are too unreliable as stand-alone predictors of forced displacement flows. This report presents an early warning model for the forced displacement of both IDPs and refugees/asylum seekers, combining predicted conflict events with various other environmental variables. Although still at an early stage, our analysis shows that a country’s risk for significant displacement flows can be predicted with high accuracy for a 12 months prediction horizon.