Miracle-dz/UniFAR-FTUs huggingface dataset:
Importance of Pseudomonas aeruginosa in Food Safety and Public Health

Pseudomonas aeruginosa (P. aeruginosa), the most pathogenic species among the pseudomonas species, is a bacterium that causes opportunistic infections resulting in significant damage to host tissues. P. aeruginosa, which is resistant to antibiotics, also causes fatal infection in human and animals. Infections caused by P. aeruginosa are difficult to treat due to its rapid proliferation in the environment and its ability to form biofilms that confer resistance to antibiotics. One of the main virulence factors of P. aeruginosa is its direct damage to host tissues, which disrupts the host’s defense mechanisms. P. aeruginosa is a food-borne pathogen often detected in various food groups such as meat, milk, fruit, vegetables, and water. In recent years, there has been a noticeable rise in food-borne contamination with P. aeruginosa. New measures are urgently needed in the treatment of patients with infections due to this agent, since P. aeruginosa can develop resistance to most antibacterials. In this review, general information about P. aeruginosa, which has gained importance for public health, will be given.
Improving the Therapeutic Relationship When Prescribing Antidepressants: A Pilot Study

Studies indicate that the quality of the doctor–patient relationship moderates the effect of pharmacotherapy. To enhance the quality of the therapeutic relationship in the pharmacotherapy of depression, we developed a brief manual with interactive materials for residents in psychiatry and their patients. In a pilot study at a psychiatric university hospital’s outpatient department, we compared patient-centered treatment parameters of a first patient group treated as usual and a second patient group treated using the manual. The study had no influence on the choice of medication. In the manual group, patient satisfaction with the doctor–patient relationship increased significantly at the three-month follow-up. Depression parameters declined in both groups, without group differences. Continuation of antidepressant medication at six months was higher in the manual group. In conclusion, a simple intervention using written materials for doctors prescribing antidepressants improved doctors’ and patients’ satisfaction with treatment.
SEISMIC BODY WAVES AND SURFACE WAVES.

Abstract : The status of projects concerning the following aspects seismic-wave research is summarized: Spectral analysis (relations to focal mechanism); phase correlations (signal to noise); long-period microseisms; multi-channel analysis; teleseismic Pn and Sn phases; wave velocities in the lower mantle; higher-mode surface waves; depth phases; long-period microseisms. In addition, the following complete papers are appended: Aftershock P-wave spectra and dynamic features of the February 4, 1965, Aleutian Islands earthquake sequence, by Kaj Korkman; Wave propagation in layered media, by Enders Robinson; Recursive solution of the multichannel normal equations, by Enders Robinson.
The Effect of Profitability, Liquidity and Leverage on Earning Quality with Company Size as a Moderation Variable

The purpose of this study is to examine the Effect of Profitability, Liquidity, and Leverage on Earnings Quality with Company Size as a Moderation Variable (Case Study on the Food and Beverage Sub-Sector Listed on the Indonesia Stock Exchange and Malaysia Stock Exchange in 2018-2021. This research applies secondary data gained from annual reports obtained from the Indonesian Stock Exchange and Malaysia Stock Exchange company websites. The total sampling used in this study is 88 data. The results of this study reveal that profitability significantly negatively affects earnings quality. Significantly, leverage and liquidity do not affect earnings quality. Profitability, liquidity and leverage do not affect earnings quality on company size as a moderation variable. Researchers can develop this study by using different proxies for each variable in order to obtain more robust results.
The use of epiphytic lichens as bioindicators of air quality along selected road sections in Slovenia.

For the assessment of air quality at locations along selected road sections with different traffic density, epiphytic lichens were used as passive reactive bioindicators. With the mapping at different distances from the roadside at each location, the trafficrelated pollution impact area was assessed. Two different mapping methods were used, specifically the simple assessment of air quality, based on the assessment of frequency and coverage of different lichen growth forms (the SI method), and more demanding one, based on mapping of lichen species (the VDI method). We conclude that at locations with moderate traffic density (average daily traffic < 20,000) the traffic-related emissions have an influence on air quality as well, except that the impact is limited to a narrow zone along the roads (< 100 m). The epiphytic lichen species composition, the number of different lichen species, as well as calculated indexes of air purity according to two different methods indicate influence of traffic-pollution in the first mapping zone (adjacent to roads), with the impact level decreasing with the distance from the roads.
Mesoscale Eddy Modulation of Subsurface Chlorophyll Maximum Layers in the South China Sea

Subsurface chlorophyll maximum (SCM) layers contribute considerably to the integrated biomass of the water column and can be strongly modulated by mesoscale eddies that are ubiquitous in the global ocean. The mechanisms of eddy‐induced surface chlorophyll concentration have been extensively examined in the South China Sea (SCS). However, the potential impact of mesoscale eddies on SCM layers remains unclear. We examined the influence of mesoscale eddies on the depth, thickness and magnitude of SCM layers in the SCS using output from an eddy‐permitting biological–physical coupled model over a 22‐year period. Our study shows that nutrient distribution is largely driven by eddy dynamics, with cyclonic eddies enhancing the supply of inorganic nutrients in the upper layers by uplifting the thermocline, and downward displacement of the thermocline in anticyclonic eddies, reducing the nutrient supply into the euphotic zone from the depth. We found that anticyclonic (cyclonic) eddies are responsible for increased (decreased) SCM depth and decreased (increased) SCM magnitude; SCM thickness decreased in cyclonic eddies but slightly increased in anticyclonic eddies. The effects of mesoscale eddies depend on eddy amplitude. Maximal anomalies in depth, thickness and magnitude always occur near the center of eddies. Phytoplankton community structure at SCM layers is also affected by eddies, with more diatoms in cyclonic eddies and more coccolithophores in anticyclonic eddies. Our study will advance our understanding of mesoscale physical–biogeochemical interactions.
Influence of sidewall grating etching depth on GaN-based distributed feedback laser diodes

Conventional sidewall gratings in GaN-based distributed feedback (DFB) laser diodes (LD) have a thick p-type layer, which may cause current spreading and carrier-induced anti-guiding effects, severely deteriorating the lasers performance. In this study, we report a novel fabrication technology to not only reduce the remaining p-type layer in the sidewall gratings but also realize close-coupled sidewall gratings. Afterwards, we further investigate the influence of the sidewall gratings etching depth on GaN-based DFB LDs. The results show an almost unchanged current injection efficiency, nearly coincided I–V curve and a near-field emission width for shallow etched structures, which indicate that the current spreading is neglectable in GaN-based ridge structure LDs. Based on this analysis, GaN-on-Si DFB LDs with an emission wavelength of 414 nm, full width at half maxima of 22 pm, and side mode suppression ratio of 19.1 dB were realized.
Deep Learning-Based Early Warning Score for Predicting Clinical Deterioration in General Ward Cancer Patients

Simple Summary This study aimed to develop a new warning score for cancer patients who are at risk of getting worse in the hospital. Cancer patients can have serious problems due to their treatment or cancer itself. A quick response system is used to find and treat these patients. This study used a deep-learning method to create a warning score based on the changes in vital signs. The warning score, called Can-EWS, was better than the existing score, called MEWS, in predicting and preventing bad outcomes. Can-EWS also had fewer false alarms than MEWS. This study could help improve the safety and care of cancer patients in the hospital. Abstract Background: Cancer patients who are admitted to hospitals are at high risk of short-term deterioration due to treatment-related or cancer-specific complications. A rapid response system (RRS) is initiated when patients who are deteriorating or at risk of deteriorating are identified. This study was conducted to develop a deep learning-based early warning score (EWS) for cancer patients (Can-EWS) using delta values in vital signs. Methods: A retrospective cohort study was conducted on all oncology patients who were admitted to the general ward between 2016 and 2020. The data were divided into a training set (January 2016–December 2019) and a held-out test set (January 2020–December 2020). The primary outcome was clinical deterioration, defined as the composite of in-hospital cardiac arrest (IHCA) and unexpected intensive care unit (ICU) transfer. Results: During the study period, 19,739 cancer patients were admitted to the general wards and eligible for this study. Clinical deterioration occurred in 894 cases. IHCA and unexpected ICU transfer prevalence was 1.77 per 1000 admissions and 43.45 per 1000 admissions, respectively. We developed two models: Can-EWS V1, which used input vectors of the original five input variables, and Can-EWS V2, which used input vectors of 10 variables (including an additional five delta variables). The cross-validation performance of the clinical deterioration for Can-EWS V2 (AUROC, 0.946; 95% confidence interval [CI], 0.943–0.948) was higher than that for MEWS of 5 (AUROC, 0.589; 95% CI, 0.587–0.560; p < 0.001) and Can-EWS V1 (AUROC, 0.927; 95% CI, 0.924–0.931). As a virtual prognostic study, additional validation was performed on held-out test data. The AUROC and 95% CI were 0.588 (95% CI, 0.588–0.589), 0.890 (95% CI, 0.888–0.891), and 0.898 (95% CI, 0.897–0.899), for MEWS of 5, Can-EWS V1, and the deployed model Can-EWS V2, respectively. Can-EWS V2 outperformed other approaches for specificities, positive predictive values, negative predictive values, and the number of false alarms per day at the same sensitivity level on the held-out test data. Conclusions: We have developed and validated a deep learning-based EWS for cancer patients using the original values and differences between consecutive measurements of basic vital signs. The Can-EWS has acceptable discriminatory power and sensitivity, with extremely decreased false alarms compared with MEWS.
Bitmask Dynamic Programming for User Scheduling in Multi-User MIMO mmWave Systems

In this work, we propose a novel bitmask dynamic programming (BDP) algorithm for user scheduling in multi-user mmWave systems. Unlike traditional greedy schemes that provide suboptimal solutions, the proposed BDP algorithm aims to find the optimal solution for maximizing the sum of the proportional fair-metric (PF-metric) problem. Simulation results demonstrate that the BDP algorithm outperforms the greedy schemes in terms of sum throughput and system fairness. The computational complexity of the proposed BDP algorithm is further analyzed, and simulation results show that its computational complexity remains favorable even with the increase in the number of mobile stations (MSs).
Thermal inertia mapping and its application in mineral exploration: results from Mamandur polymetal prospect, India

S U M M A R Y Thermal anomalies associated with ore-mineralization (Pb–Cu–Zn and Fe) were studied using thermal infrared data collected over Mamandur polymetal prospect, India, with the aid of satellite, field, and laboratory measurements. Day and night ASTER data were analysed in conjunction with field measurements to estimate thermal inertia of the ore body, altered zones and country rocks. Representative samples collected from field were also analysed for thermal conductivity, diffusivity, and inertia using a self-fabricated setup. Spatial changes in thermal inertia were mapped by look up table (LUT) and advanced thermal inertia mapping (ATIM) approaches. Mineralized zones show very high thermal contrast ( T) both in field (15–25◦C) and satellite data (14.9–16.9 oC). They also exhibit the lowest thermal inertia in field-(2118– 5474 J m−2 K−1 s−1/2) and satellite-based (3783–4037 J m−2 K−1 s−1/2) measurements. In non-mineralized areas, acidic rocks (granite, migmatite and granite gneiss) have lower inertia than basic rocks (basic granulite, dolerite and charnockite). Results estimated by LUT and ATIM approaches correlate very well at satellite (R2 = 0.97) and field (R2 = 0.89) scales. Similarly, fieldand satellite-based results also have good correlation (R2 = 0.69–0.72). This study illustrates the potential of thermal inertia mapping in delineating ore bodies and deciphering the lithological changes even under veneer of soil.
The Impact of Structural Variations and Coating Techniques on the Microwave Properties of Woven Fabrics Coated with PEDOT:PSS Composition

Minimizing the impact of electromagnetic radiation (EMR) holds paramount importance in safeguarding individuals who frequently utilize electrical and electronic devices. Electrically conductive textiles, which possess specialized EMR shielding features, present a promising solution to mitigate the risks related to EMR. Furthermore, these textile-based shielding materials could find application as radar-absorbing materials in stealth technology, emphasizing the need for substantial absorption capabilities in shielding mechanisms. In this study, various textile-based materials with an electrically conductive coating that contain the conjugated polymer system poly(3,4-ethylene-dioxythiophene)-polystyrene sulfonate (PEDOT:PSS) were prepared and investigated. The influence of the textile substrate structural parameters, coating deposit, and coating method on their microwave properties—transmission, reflection, and absorption—was investigated. Reflection and transmission measurements were conducted within a frequency range of 2 to 18 GHz. These measurements revealed that, for the tested samples, the shielding properties are determined by the combined effect of reflection and absorption. However, the role of these two parameters varies across the tested frequency range. It was defined that for fabrics coated on one side, better reflection reduction is obtained when the shielding effectiveness (SE) is below |20| dB. It was found that by controlling the coating deposition on the fabric, it is possible to fine-tune the electrical properties to a certain extent, thereby influencing the microwave properties of the coated fabrics. The studies of prepared samples have shown that reflection and transmission parameters depend not only on the type and quantity of conductive paste applied to the fabric but also on the fabric’s construction parameters and the coating technique used. It was found that the denser the substrate used for coating, the more conductive paste solidifies on the surface, forming a thicker coat on the top. For conductive fabrics with the same substrate to achieve a particular SE value using the knife-over-roll coating technology, the required coating deposit amount is considerably lower as compared with the deposit necessary in the case of screen printing: for the knife-over-roll-coated sample to reach SE 15 dB, the required deposit is approximately 14 g/m2; meanwhile, for a sample coated via screen printing, this amount rises to 23 g/m2.
Conservation Agriculture for Sustainable Crop Productivity and Economic Return for the Smallholders of Bangladesh: A Systematic Review

Agricultural farming is a complicated system that involves continuous interactions among its multiple components over a period of time. The series of activities involved in farming practices have enormous contributions to ensure food security for the humanity. With the passage of time, agriculture sector faces diversified challenges like high food demand of rapidly growing population, scarcity of available resources and adverse effect of climate change. In developing countries like Bangladesh, food sufficiency is mostly achieved through intensive farming which has detrimental effects on natural resources, surrounding environment, and the whole ecosystem. The review attempts to discover the potentials of conservation agriculture practices for sustainable crop productivity and economic profitability of smallholder farmers in Bangladesh. This study revealed that conservation farm management practice is a cost-effective modernized technique that has the ability to accelerate crop productivity and farmers income through minimum utilization of agricultural inputs. Although the concept of conservation agriculture is widely practiced in other parts of the world, Bangladesh is experiencing a slow rate of adoption during the last few years. The policy implication of the study suggests that the government should take coordinated and combined initiatives involving both public and private sector organizations to incorporate this concept into the mainstream agricultural system of Bangladesh.
Development of aerosol retrieval algorithm over global ocean using FY-1C/1D data

An operational algorithm of aerosol retrieval is described based on the FY-1C/1D data over global oceans.A single-channel algorithm is proposed.A look-up table(LUT) for aerosol retrieval is established using a state-of-art radiative transfer model 6S(second simulation of the satellite signal in the solar spectrum). The LUT shows that the apparent reflectance is the function of observation geometry(solar and viewing angles) and aerosol optical depth.Eventually,the LUT is used to retrieve the aerosol optical depth by the observed apparent reflectance.The data quality checking,cloud mask and sun-glint discrimination are considered during the operation processing.This algorithm has been used to test aerosol retrieval for FY-1C data since 2001 and introduced into the FY-1D operation performing including daily and monthly mean composite aerosol product since 2002.Analysis of the result reveals that all main aerosol sources are located over the global oceans and also reveals season variety in the globally averaged aerosol optical depth.They are nearly close to results of other similar foreign sensors in spatial distribution and numeral quantity.
A Comparative Analysis of Artificial Neural Networks on River Level Forecasting for the Rio Madeira Basin

Este artigo apresenta uma análise comparativa de duas abordagens de Redes Neurais Artificiais para prever os níveis de cota dos rios usando dados de séries temporais de quatro estações hidrológicas na bacia do Rio Madeira. O estudo utiliza dados coletados entre 2001 e 2014 e emprega uma estratégia de validação com divisão da série temporal combinada com uma busca em grade por diversas topologias de redes. Os resultados revelam que as Redes Neurais Recorrentes LSTM apresentam uma leve vantagem de desempenho em relação às Redes MLP, embora ambas as abordagens demonstrem desempenho comparável na maioria dos cenários. A abordagem autorregressiva proposta para previsão de cota dos rios mostra-se viável, especialmente em situações com dados históricos limitados.
Face processing and early event-related potentials: replications and novel findings

This research explores early Event-Related Potentials (ERPs) sensitivity to facial stimuli, investigating various facial features aimed to unveil underlying neural mechanisms. Two experiments, each involving 15 undergraduate students, utilized a multidimensional stimulus set incorporating race, gender, age, emotional expression, face masks, and stimulus orientation. Findings highlight significant modulations in N170 and P200 amplitudes and latencies for specific attributes, replicating prior research and revealing novel insights. Notably, age-related facial feature variations, facial inversion, and the presence of face masks significantly impact neural responses. Several speculative explanations are proposed to elucidate these results: First, the findings lend support to the idea that the increased N170 amplitude observed with facial inversion is closely tied to the activation of object-sensitive neurons. This is further bolstered by a similar amplitude increase noted when masks (effective objects) are added to faces. Second, the absence of an additional amplitude increase, when inverting face images with face masks suggests that neural populations may have reached a saturation point, limiting further enhancement. Third, the study reveals that the latency deficit in N170 induced by facial inversion is even more pronounced in the subsequent ERP component, the P200, indicating that face inversion may impact multiple stages of face processing. Lastly, the significant increase in P200 amplitude, typically associated with face typicality, for masked faces in this study aligns with previous research that demonstrated elevated P200 amplitudes for scrambled faces. This suggests that obscured faces may be processed as typical, potentially representing a default state in face processing.
Vietnam development report 2011 : natural resources management

The Vietnam Development Report (VDR) is a joint development partner report. It aims to inform the reform agenda of the government of Vietnam and to harmonize development partner support for this framework. Therefore the emphasis is not so much on background description as it is on a discussion of the way forward. The current VDR is one in a long series of annual reports addressing the most important development topics of Vietnam. They do so against the backdrop of the Socio-Economic Development Plan, which lays out the government's broad development agenda. The theme of this VDR is natural resources management. The main question that the VDR poses is: how can natural resources be used efficiently to promote robust economic growth and alleviate poverty in a manner that is environmentally and socially sustainable? An examination of that question entails addressing several subthemes that run through the different chapters. The report is organized to address the lead themes of efficiency, environmental sustainability, and equity in sectoral chapters on land, water, forests, marine resources, and mineral resources. The first chapter provides a broad overview connecting the sectoral chapters. A statistical annex provides further data in support of the text. The VDR is the result of a consultative process involving not only development partners but also nongovernmental organizations, academics, researchers, and independent consultants. The process has been coordinated by the World Bank.