Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Level of Some Haematological Parameters in Hepatitis B Negative Donors at the Blood Bank, University College Hospital, Ibadan, Nigeria

This paper is for the purpose of the hematological parameters as regards Hepatitis B-negative donors in the University Teaching Hospital, Nigeria. The paper commences with the introduction of the background study and problem statement of blood transfusion, a pivotal treatment that can also cause diseases such as Hepatitis B if structured procedures and screening tests are not followed. Hepatitis B is a terminal disease that endangers the liver, and it is rampant in numerous impoverished and average-class countries, not excluding Nigeria. The problem is amplified by the minimal health facility, emergency need for blood, and minimal obedience to blood donation procedures. The study reasons its functions by emphasizing the high-occurring case of blood transfusion-transmitted infections in Nigeria and the dire need to focus on key factors that highlight the rampage of the Hepatitis B virus. The study aims to feature vital haematological parameters in selected donors, such as hematocrit, D-dimer test, platelet count, and leukocyte count, to give relevant documentation for in-depth research. The study found that the mean platelet count, leukocyte count, and D-dimer level were within the normal reference ranges for healthy adults. However, the mean hemocrit was slightly lower than the normal reference range. The study's findings are consistent with previous research on hematological parameters in healthy blood donors. The study recommends increasing the sample size, standardizing screening procedures, exploring new screening methods, improving donor education, exploring alternative donor sources, and supporting ongoing research. These recommendations could inform blood donation policies and screening procedures in Nigeria and other countries with similar populations.
Benchmarking ABS Population Estimates for Queensland Aboriginal and Torres Strait Islander Communities

Concerns have been expressed for some time by Indigenous community leaders, government agencies, and local service providers about the accuracy of demographic data for those Aboriginal and Torres Strait Islander communities in Queensland depicted in Figure 1. The main issue has been a claim of undercounting by the five-yearly census. Surprisingly, only one study exists (Martin and Taylor 1996) which can claim to directly test the validity of a census count for a remote Indigenous community. One conclusion of this study was that the enumeration strategy adopted by the ABS for use in remote Indigenous communities was structured in such a way as to increase the likelihood of omitting young people, the more mobile and more socially marginal. This was considered to be a by-product of the attempt to assign individuals to households as mainstream constructs in situations where inter-household and inter-community mobility is the norm (Martin and Taylor 1996). At the same time, it should be noted that independent observation of the 2001 enumeration in Aurukun revealed that when sufficient and appropriate personnel are in place, and where a team commitment to counting all individuals is sustained, a satisfactory population count can be achieved (Martin 2002). The difficulty, it seems, is in ensuring that these pre-conditions are achieved at all places, and at each census (Martin et al 2002).
Develop a simple economical evaporation pan.

The objective of the current study was “to develop a Simple Economical Evaporation Pan (SEEP)”. The pan made using inexpensive materials which are simple, low cost, and can easily be placed in several locations of an irrigated field. Four different pans sized very small (16cm), small (32cm), medium (40cm) were compared to the standard large (57cm) pan. The pan consists of a galvanized washtub with standard brass toilet bowl floats. Twelve pans (3 replicates for 4 diamter) were evaluated and tested to determine if the pans of the same size responded similarly to each other, and how the variation was different between pan sizes. For the test, 432 different readings were available over a period of time. The results show that pan size 57 cm was the nearest from the standard class (A) in evaporation rate. But that not mean it is the best one. The final decision for the best pan is based on the economical and many other factors. The medium pan (M= Ф 40) did not respond exactly the same as the larger pan (L= Ф 57). However, the small pan (S= Ф 32) responded in a similar manner to the medium pan (M= Ф 40) when compared to the large (L= Ф 57) pan. The very small pan (VS= Ф 16) representing the evaporation that occurs from the large pan. Overall based on this study, the very small sized pan (VS= Ф 16) offers a potentially less expensive alternative to irrigation scheduling. The advantages of economical evaporation pan are facial in measurement and in transportation and lower in cost of installation which make it easy for farmers to have evaporation pan and calculate water requirement for all plant.
Understanding the Profitability Gap between Euro Area and US Global Systemically Important Banks

This investigation starts with the observation that, over the last decade, profitability rates reported by euro area (EA) banks have remained, on average, persistently below those reported by peer banks in the United States (US). In particular, banks’ return on equity (ROE) has fluctuated around 5% in the EA, but around 10% in the US, indicating a profitability gap of around 5 percentage points. 1 However, while comparisons are frequently made between EA and US banks in academic and political debate, they are not perfect benchmarks, nor should this paper be regarded as aiming for a like-for-like comparison. This paper seeks to identify and analyse the factors behind the profitability gap in a structured manner. We disaggregate the gap between EA and US global systemically important banks (G-SIBs) into the different contributing items in the profit and loss (P&L) statement and then take a deep dive into the drivers for 2021. Our analysis highlights two main drivers of US G-SIBs’ higher profitability. First, the higher income from fees and commissions and trading of US G-SIBs explains the bulk of the difference in ROE. Second, EA G-SIBs are still dealing with legacy non-performing exposures built up during the Global Financial Crisis (GFC) which have driven up the associated impairments and provisions expenses beyond that of US peers. While we do not aim to provide normative recommendations in this paper, our main conclusion is that the higher profitability of US G-SIBs compared with their EA peers can largely be explained by their different business strategies, which are closely linked to the differing macroeconomic environments and financial systems in which these banks operate. Furthermore, this analysis does not provide a comprehensive picture of US and EA G-SIBs’ performance: with the focus on profitability, other important aspects related to risk taking, business model sustainability, and prudential regulation are not included. Regulatory differences across banking systems are not addressed in this investigation.
UTILIZATION OF DISTILLERS GRAINS IN FEEDLOT CATTLE DIETS

Four studies evaluated effects of dry distillers grains with solubles (DDGS) containing high S concentrations on feedlot performance, ruminal fermentation, and diet digestibility by finishing cattle. Trial 1 used finishing steers fed diets based on steam-flaked corn (SFC) or dry-rolled corn (DRC), and containing 30% DDGS (DM) with 0.42% S (0.42S) or 0.65% S (0.65S). No interaction (P ≥ 0.15) between dietary S and grain processing occurred, but feeding 0.65S decreased DMI (P < 0.001) and ADG (P = 0.006) by 8.9% and 12.9%, respectively, whereas G:F was unaffected by S concentration (P = 0.25). Steers fed 0.65S had 4.3% lighter HCW (P = 0.006), lower KPH (P = 0.009), and lower yield grades (P = 0.04) than steers fed 0.42S. Concentration of H2S was inversely related (P ≤ 0.01) to ADG (r = -0.58) and DMI (r = -0.67) in cattle fed SFC, and DMI (r = -0.40) in cattle fed DRC. Trial 2 used the same treatments as in the first stud, and investigated ruminal fermentation characteristics and diet digestibility by feedlot cattle. Feeding 0.65S increased ruminal pH (P < 0.05), but decreased total VFA concentrations (P = 0.05). Steers fed 0.65S had greater ruminal NH3 concentrations (P < 0.01) than steers fed 0.42S. The magnitudes of these effects were greater in steers fed DRC than in steers fed SFC (interaction, P < 0.01). Feeding 0.65S yielded greater apparent total tract digestibilities of DM (P = 0.04) and ether extract (P = 0.03). The 3 study evaluated effects of in vitro S titration (0, 0.1, 0.2, 0.3, 0.4, 0.5, and 0.6% of DM) in substrates based on ground corn and DDGS (GC-DDGS) or ground corn with urea and soybean meal (GC-SBM). Concentrations of NH3, total VFA, IVDMD, in vitro gas production, and gas composition were unaffected by S (P > 0.05) or by the S × substrate interaction (P > 0.05). Study 4 evaluated cattle feedlot performance when exposed to DDGS containing high S levels, either continuously or intermittently. Treatments were chronic high S (CHS; 0.60% DM), chronic intermediate S (CIS; 0.50% DM), and sporadic intermediate S (SIS; oscillating from 0.40 or 0.60% S DM basis). Steers fed CHS had 11.2 and 6.1% less (P < 0.05) DMI than steers fed CIS and SIS, respectively, but there were no treatment effects on ADG, G:F, or carcass characteristics (P > 0.10). These studies suggest that changes in cattle performance and digestibility associated with high S are primarily attributable to decreased DMI, but infrequent exposure to high levels is no more harmful than continuous exposure. UTILIZATION OF DISTILLERS GRAINS IN FEEDLOT CATTLE DIETS
LEGOLANG: Técnicas de deconstrucción aplicadas a las Tecnologías del Lenguaje Humano

El objetivo de este proyecto se basa en la necesidad de replantearse la filosofia clasica del TLH para adecuarse tanto a las fuentes disponibles actualmente (datos no estructurados con multi-modalidad, multi-lingualidad y diferentes grados de formalidad) como a las necesidades reales de los usuarios finales. Para conseguir este objetivo es necesario integrar tanto la comprension como la generacion del lenguaje humano en un modelo unico (modelo LEGOLANG) basado en tecnicas de deconstruccion de la lengua, independiente de su aplicacion final y de la variante de lenguaje humano elegida para expresar el conocimiento
Automated Tuning and Portfolio Selection for SAT Solvers

The NP-complete propositional satisfiability problem (SAT) is a useful tool for modeling various kinds of applications ranging from cryptography [66] to planning [34]. Usually, different SAT solvers perform best on different subregions of problem instance space. We address the per-set algorithm configuration problem, which combines both, algorithm configuration [42, 5] and algorithm selection [41]. We want to find the best SAT solver configuration, including which solver to use, for each partition of instance space. There is a recurrence between finding good configurations for all partitions and finding good partitionings that can be tuned well, though. To tackle this problem, we propose a novel evolutionary algorithm that evolves decision trees for partitioning instance space. It fulfills several desirable criteria including the built-in interpretability of decision trees and robustness, that we show experimentally. Furthermore, our evolutionary trees approach has comparable performance to the state-of-the-art algorithm configurator Optuna [5].
Time-Varying Effects of Extreme Weather Shocks on Output Growth of the United States

This study investigates the impact of a structural shock to a metric of extreme weather, identified using sign restrictions, on output growth (and inflation) in the United States (US) from 1961 to 2022, using a time-varying parameter vector autoregressive (TVP-VAR) model. Our results show that severe weather shocks adversely affect output growth (and inflation) over the forecast horizon of one-to twelve-quarter-ahead. More importantly, we find that the effect of extreme weather on the US macroeconomic variables is indeed time-varying, with the impacts becoming smaller in recent times, possibly due to improved adaptation to climate change.
Variabilité mésoéchelle océanique : comparaison altimétrie/modèle

The recent progress realized in the ocean modelisation, associated with satellite altimetric observations, allows us to better characterize the oceanic mesoscale (scale that corresponds to very energetic ocean phenomena). A compared study of two very high-resolution model outputs in the North Atlantic ocean (POP and PAM) with data issue from the merging of two altimeters observations (T/P and ERS) has been made. At first, we focus on the analysis of the mean Eddy Kinetic Energy (EKE). We then describe the Sea Level Anomaly space and times scales and propagation velocities at a resolution never achieved before. Finally, a study of the seasonal and interannual variability of the EKE is carried out. This study is extended to the global ocean with the T/P-ERS data only. The short-coming global ocean model (POG) will help us to confirm our results.
A Time and Context Aware Re-ranker for Microblog Retrieval

Microblogs, especially Twitter, have become an integral part of our daily life for searching latest news and events information. Due to short length characteristics of tweets, only content-relevance based search result cannot satisfy user’s information need. Recent work shows that considering temporal aspects in this regard improve the retrieval performance significantly. In this paper, we propose an approach that not only consider textual features but also temporal features, account related features and twitter specific features of the tweets for re-ranking the search results. A linear ranking model has been adopted to combine these features to estimate the relevance score. We conducted our experiments based on the topics and datasets of TREC Microblog track 2011 and 2012. Experimental result demonstrates the effectiveness of our approach over the baseline methods in terms of Precision@30, mean average precision (MAP), and reciprocal-precision (R-Prec) metrics. Nowadays, microblogging web sites are not only the places of maintaining social relationship but also can be used as a valuable information sources. Everyday lots of people turn into microblog sites for sharing their views, opinions, experiences, important news, and also want to get some information what is happening around the world today. Among several microblog sites, Twitter ∗1 is now the most popular, where lots of people posting tweets when a notable event occurs. That is why information retrieval in twitter has made a hit with a lot of complaisance. By searching twitter documents, people will find temporally relevant information such as breaking news and real time contents. For example, we can consider a situation, where a journalist prepares an investigation report about a sports scandal. So, to find out more details about the scandal, he turns to searching tweets from several different aspects, such as: the scandal’s major facts, reactions from fellow athletes, commentary from analysts, and so on. Here, the journalist only wants to see the most recent tweet about the scandal; thought any search that contains the athletes name will brings up the results from several different points in time [1]. We can consider another situation, where the journalist writes a report about the impact of social media during the general election of Japan. In that case, he also search tweets in a time frame. So, for exploring such kind of search behaviour and boosting the retrieval performance in such environment, TREC was first introduced the ad-hoc search task in 2011 [2], where a user’s information need had been represented by a query at a specific point in time and a set of relevant ranked tweet documents had been returned based on that query. In this paper, we propose an approach to re-rank the tweets that are retrieved using baseline method. To improve the re-ranking result,
Interaction between vascular factors and the APOE E4 allele in predicting rate of progression in Alzheimer’s dementia

Vascular factors have been shown to affect the rate of AD progression. However, the effect of the APOE ε 4 allele on rate of progression has been ambiguous. Little research to date has examined an interaction between vascular factors and the APOE ε 4 allele in predicting decline among AD patients. 216 participants with incident AD from a population of elderly persons in Cache County, Utah, were followed for a mean of 3.3 years and 4.2 follow-up visits. A history of vascular risk factors and conditions and anti-hypertensive use was assessed at the diagnostic visit. Linear mixed effects models tested interactions between the vascular factors, APOE ε 4, and time as predictors of clinical progression on the Mini-Mental State Exam (MMSE) and Clinical Dementia Rating-Sum of Boxes (CDR-SB). Multiple comparisons were corrected using the Holm-Bonferroni method. There was a 3-way interaction between stroke, APOE ε 4 and time in predicting MMSE decline (LR χ 2 = 10.32, 2 df, p = 0.006). For the CDR-SB, there were 3-way interactions between the APOE ε 4, time and either myocardial infarction (LR χ 2 = 17.83, 2 df, p = 0.0001) or stroke (LR χ 2 = 11.48, 2 df, p = 0.003. Results suggest a complex relationship between the APOE ε 4 and vascular factors in predicting cognitive and functional progression. Among individuals with a history of stroke or MI at baseline, progression of AD is influenced by APOE ε 4 carrier status and varies by time after AD diagnosis.
AI-Powered Networking: Unlocking Efficiency and Performance

The convergence of Artificial Intelligence (AI) and networking has emerged as a transformative force that holds the potential to reshape the landscape of modern information systems. This paper presents an in-depth exploration of the integration of AI into networking, encompassing diverse facets ranging from network management to security, routing, protocol design, resource allocation, and Quality of Service (QoS) enhancement. The discussion delves into the role of AI in optimizing network management through real-time analytics, anomaly detection, and predictive insights. Furthermore, the paper elucidates how AI-driven security measures offer proactive threat detection, adaptive responses, and enhanced resilience against sophisticated cyber threats. Routing and protocol design benefit significantly from AI, enabling dynamic decision-making based on real-time network conditions. The seamless amalgamation of AI with edge computing empowers decentralized devices to process data locally, thereby reducing latency and enabling real-time responses. Despite the promising prospects, the integration of AI and networking is accompanied by ethical considerations, algorithmic biases, and the need for transparency and fairness. The paper highlights these challenges and emphasizes the importance of addressing them responsibly to ensure the ethical deployment of AI-enabled networks. Looking ahead, the paper outlines future directions and emerging trends, such as autonomous networking, federated learning, quantum AI, and network slicing for the forthcoming 6G era. These trends illuminate the path toward innovative, resilient, and intelligent networking systems. In summation, the symbiotic relationship between AI and networking offers unprecedented opportunities for enhancing network performance, security, and intelligence. By acknowledging challenges, fostering responsible practices, and embracing emerging trends, stakeholders can harness the full potential of AI to shape a digital landscape characterized by efficiency
Information security management in SMEs: factors of success

While the consecutive metamorphoses in the world economy changes the paradigm of doing business, the sources of success of almost every type of business transfer from tangible to intangible assets, and the information and its value becomes more and more significant, especially in the segment of small and medium sized enterprises. The aim of this paper was to identify the factors of success of information security management in segment of SMEs in Slovakia. Based on the literature research we identified 4 main factors of success of information security management, including the Compliance of information security management with the company's business activities, Support of top management, Security controls and Organizational awareness. To identify the importance and interconnections of the specified factors we have addressed senior IT security experts from SMEs in Slovakia. The experts evaluated the significance and relationships the factors of success of information security management and the results of the expert evaluation were processed using the DEMATEL technique. The results of the research show that the Security Controls and Supportive top management are the most important factors in general, while the factor of organizational awareness is the most obvious and important in the short-term period. Our results imply that SMEs should promote organizational awareness in information security management in line with implementation of the security controls at the first line of the defense.
Soil Fertility and Land Productivity under Different Cropping Systems in Highlands and Medium Highlands of Chandina Sub-district, Bangladesh

Soil fertility decline often threatens food production inducing poverty in developing countries. The soil fertility and land productivity in common cropping systems in highlands and medium highlands in the Chandina subdistrict, Camilla, Bangladesh were assessed to identify suitable cropping systems for sustaining soil health and crop production. Two-year soil fertility data from selected fanners' fields were examined. Soil pH was moderately acidic, organic matter was low to medium, nitrogen was very low to low, while phosphorus was optimum to very high, potassium was low to optimum and zinc was optimum to very high depending upon the cropping systems. Among the four most common cropping systems in highlands, overall soil nutrient status showed that potato-bitter gourd-long bean cropping system had high soil fertility, whereas in medium highlands potato-rice-rice cropping system was the best among its three common cropping systems. The land productivity index was developed, which con.finned that potato-rice-rice and cauliflower-okra-long bean systems in highlands and rice-rice-rice, potato-rice-rice and cauliflowerrice-rice systems in medium highlands were the best in the long-tem1 productivity.
Can customer ratings be discrimination amplifiers? Evidence from a gig economy platform

This paper investigates the conjecture that rating systems can be “discrimination amplifiers. ” Because rating systems memorialize differences in individual ratings (impacted by group-based statistical or taste-based discrimination) as differences in worker quality, displaying average ratings on a platform can lead to discrimination spillovers for customers who do not discriminate and amplify discrimination for those who do, leading to greater inequity. After demonstrating the idea using a stylized analytical model, we investigate the question of discrimination amplification empirically using data from an online labor market platform that matches service workers with customer jobs. Using a model of customer’s job cancellations and rating choice allowing for unobserved heterogeneity in discriminatory behaviors, we identify three segments: one shows no difference in behavior towards minority and White workers; the second cancels minority workers at higher rates, hurting minority earnings; a third cancels minorities more and rates them lower than Whites. We find that customer discrimination increases the non 5-star ratings for the average minority worker by 24% and decreases the earnings by 4%. Displaying ratings amplifies discrimination and increases the minority rating gap by 80% and the minority earnings gap by 28% relative to not displaying ratings.