Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting potential fishing zones of Japanese common squid (Todarodes pacificus) using remotely sensed images in coastal waters of south-western Hokkaido, Japan

ABSTRACT The present study used nighttime visible satellite images to identify the daily presence and absence of the fishing vessel aggregations, targeting the Japanese common squid (Todarodes pacificus) in the coastal waters of south-western Hokkaido, Japan. Here, statistical (generalized additive model (GAM) and generalized linear model (GLM)) and machine learning models (boosted regression tree (BRT)) were developed using a 3-year (2000–2002) presence/absence information from squid fishing aggregations and environmental variables (night-time sea surface temperature (SST), chlorophyll-a (Chl-a) concentration, Kd(490) (diffuse attenuation coefficients of downwelling irradiance at 490 nm), and bathymetry). Our findings showed that BRT outperformed the regression-based models in predicting the potential squid fishing zones during the validation period (2003). Results from BRT indicated that potential fishing zones were closely associated with water depth. Both SST and Chl-a concentration were also found highly influential to squid occurrence, while Kd(490), which is related to the water transparency, showed relatively less impact on the squid distribution. The spatial predictions using daily data from 2000 to 2003 revealed the gradual eastward movement of potential fishing zones between June and December, consistent with the pattern of squid fishing activities. Four experimental fishing surveys were further conducted to validate and improve our model predictions against experience-based fishing surveys. The results showed that the squid catches using our model predictions in 2012 substantially exceeded the average catches of experience-based fishing in 2011.
Detection of Sialic Acid to Differentiate Cervical Cancer Cell Lines Using a Sambucus nigra Lectin Biosensor

Pap smear screening is a widespread technique used to detect premalignant lesions of cervical cancer (CC); however, it lacks sensitivity, leading to identifying biomarkers that improve early diagnosis sensitivity. A characteristic of cancer is the aberrant sialylation that involves the abnormal expression of α2,6 sialic acid, a specific carbohydrate linked to glycoproteins and glycolipids on the cell surface, which has been reported in premalignant CC lesions. This work aimed to develop a method to differentiate CC cell lines and primary fibroblasts using a novel lectin-based biosensor to detect α2,6 sialic acid based on attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) and chemometric. The biosensor was developed by conjugating gold nanoparticles (AuNPs) with 5 µg of Sambucus nigra (SNA) lectin as the biorecognition element. Sialic acid detection was associated with the signal amplification in the 1500–1350 cm−1 region observed by the surface-enhanced infrared absorption spectroscopy (SEIRA) effect from ATR-FTIR results. This region was further analyzed for the clustering of samples by applying principal component analysis (PCA) and confidence ellipses at a 95% interval. This work demonstrates the feasibility of employing SNA biosensors to discriminate between tumoral and non-tumoral cells, that have the potential for the early detection of premalignant lesions of CC.
NATURAL RADIONUCLIDES AND HEAVY METALS POLLUTION IN SEAWATER AT KUALA LANGAT COASTAL AREA (Pencemaran Radionuklid Semulajadi dan Logam Berat di dalam Air Laut di Kawasan Persisiran

Rapid industrial developments along the Langat river basin play an important role in contributing to the increases of pollution loading at Kuala Langat coastal area. The major pollutant sources in this area may be originating from human activities such as industrial discharge, domestic sewage, construction, agriculture and pig farming near the tributaries that affects the water quality. In addition, Langat and Semenyih rivers flow through the mining and ex-mining area, which is related to the source of natural radionuclides contamination. Heavy metals in the aquatic environment and more likely to enter the food chain. This study is focusing to the levels of radionuclides and heavy metals in seawater. The samples were collected using appropriate water sampler, which is then acidified until pH 2 and filtered using cellulose acetate 0.45 μm. The concentration of these radionuclides and heavy metals were determined using Inductive Coupled Plasma Mass Spectrometer (ICPMS) after dilution. In general, the radionuclides and heavy metals concentrations are lower than Malaysia Marine Water Quality Standard (MMWQS) except for few locations where the concentration levels above the standards. The higher concentration of pollutant in the seawater may have a toxic effect on sensitive plants and living organisms. The results of pollution levels of these radionuclides and heavy metals were also compared with other studies.
Exploration of Approaches and Factors of Healthy City Planning

city has drawn increasingly extensive attention. On the one hand, urban environmental issues have become prominent, especially air pollution caused by industrialization in developing countries; on the other hand, urban residents’ demand for physical and mental health calls for physical space to promote the quality of life. Based on theoretical and empirical researches, this paper explores significant spatial factors in healthy city planning and their correlation with public health in different approaches. In order to reduce pollution and its impact on human as well as encourage exercise, the correlations are elaborated from four perspectives: land use, spatial form, road and transport, green space and open space, with a view to provide basis for healthy city planning and its related studies.
A preliminary study on scour at submerged weirs in live bed conditions

Submerged weirs are low head hydraulic structures that span the full width of the channel for limiting excessive bed degradation and for bed stabilization. However, in alluvial rivers their presence in the flow also results in local scour which may undermine the structures themselves. A preliminary study on the scouring process at submerged weirs under live bed scour conditions is presented. It is observed that the average maximum scour depths upstream of the weir are found to be strongly dependent on the steepness of the approaching bedforms, and inversely dependent on weir height. The flow transitions from a surface flow regime to an impinging jet flow regime as the water level difference across the weir increases to a certain threshold; two different scour mechanisms downstream of the weir are observed corresponding to these two different flow regimes. The normalized downstream average maximum scour depth increases with increasing weir height. at bed sills is still very limited (Marion et al., 2006) due to difficulties in experimental control and scour development measurement. Depending on the upstream sediment transport conditions, the local scour can be classified as either clear water scour or live bed scour. During live bed scour, the scour process becomes complex due to upstream sediment transport at the structure and scouring occurring both upstream and downstream of the weir. For a fully submerged weir, Wu & Rajaratnam (1996) classified flow regimes over the weir as (1) impinging jet; (2) breaking wave (or surface jump); (3) surface wave; and (4) surface jet. For the impinging jet regime, the flow over the weir plunges into the tailwater, diffuses as a plane submerged jet, and eventually hits the bed of the downstream channel. For the other three regimes, which might be collectively named the surface flow regime, the flow remains as a jet at the surface in the downstream channel, with its thickness increasing downstream because of turbulent mixing (Wu & Rajaratnam,
Adult-to-adult right lobe graft living donor liver transplantation for acute-on-chronic liver failure: a single-centre retrospective study in Vietnam

Introduction: Acute-on-chronic liver failure (ACLF) has a high mortality rate, and liver transplantation is considered a definite treatment for patients with this condition. This study aims to evaluate the outcomes of living donor liver transplantation (LDLT) in ACLF patients in a single centre in a lower middle-income country, Vietnam. Materials and methods: This was a retrospective study at the 108 Military Central Hospital (Hanoi, Vietnam), enroling 51 patients diagnosed with ACLF based on Asian Pacific Association for the Study of the Liver (APASL) criteria who underwent LDLT with a right lobe graft from December 2019 to December 2022. The authors utilize the model for end-stage liver disease (MELD) and APASL ACLF Research Consortium (AARC) scores to evaluate and stratify the severity of ACLF. Results: The average age of all patients was 47.27±13.61, with 88.24% being male. The average BMI was 22.78±2.61. The most common underlying liver disease was chronic viral hepatitis B (88.2%). The average MELD score of the patients was 34.90±5.61, with 33.3% having MELD score greater than or equal to 40. In terms of ACLF severity, five patients (9.8%) had grade I ACLF, 35 patients (68.6%) had grade II ACLF, and 11 patients (21.6%) had grade III ACLF. The average AARC score was 9.43±1.68. The duration of treatment in the ICU was 8.59±7.27 days, and the length of hospital stay was 28.02±13.45 days. The most common post-transplant complication was biliary complication (19.61%). Death occurred in 7 patients (13.7%). The survival rates at 6 months, 1 year, and 3 years were 84%, 81.7%, and 81.7%, respectively. Conclusion: Living donor liver transplantation for ACLF patients is safe and has a high post-transplant survival rate. Multidisciplinary care before, during, and after surgery, and the decision to do a liver transplant early, is essential in saving the lives of ACLF patients.
Regional Impacts of Urbanization on Stream Channel Geometry: Importance of Watershed Area and Channel Particle Size

OF THE THESIS Regional Impacts of Urbanization on Stream Channel Geometry: Importance of Watershed Area and Channel Particle Size by Kristine Teru Taniguchi Master of Science in Geography (Watershed Science) San Diego State University, 2014 Urbanization increases impervious surface cover, expands the drainage network, and increases flow velocity, which increases storm runoff, peak discharges and rates of stream channel erosion. Southern California has experienced rapid urbanization over the past several decades and has the potential for stream channel degradation. San Diego County has implemented a Hydromodification Management Plan to protect channels from erosion through monitoring new development projects and their increases in runoff, but no studies have identified the dominant controls and the impact of urbanization on channel geometry. A synoptic survey of 80 field sites by the California Environmental Data Exchange Network (CEDEN) and additional field surveys from 2013-2014 were used to develop regional curves relating bankfull cross sectional area (Axs), width (w), mean depth (d), and discharge (Qbf) to watershed area (Aw). Regional curves were compared for urban and reference sites and compared to other regional curves developed for southern California. Multiple regression models were used to identify dominant watershed and channel controls on geometry, including Aw, percent impervious cover (I%), mean annual precipitation, underlying geology, longitudinal slope, and hydrologic soil group. For the reference streams, regional curves were most robust for w (p < 0.05) and Axs (p < 0.05). The regional curves for urban streams had substantially larger coefficients in the regional curves, indicating that urban channels have larger w and Axs for a given watershed size. The most predictive variables for w were Aw and I%. Aw is a predictor of Axs only for reference sites; when all sites are included in a regression model, I% was the only predictive variable for all channel metrics, suggesting that urban-induced enlargement in smaller urban channels disrupted the natural Axs-Aw relationship. A majority (68%) of the urban channels were enlarged, defined as a Axs larger than the upper 95% confidence interval of the regional curve for reference sites. Of the enlarged channels, 73 percent were located in small watersheds (<10 km). Channel response differed by channel substrate. Sand-bedded channels incised, while gravel-bedded channels widened. Sand-bedded channels in small urban watersheds (<10 km) had much larger d compared to sand-bedded channels in larger urban watersheds (>10 km). Channels draining larger urban watersheds may be less susceptible to enlargement due to stabilization of channel banks through the establishment of riparian vegetation from increased urban baseflow. Management should focus on monitoring sand-bedded channels in watersheds smaller than 10 km.
Investigating the Evolution of Rock Discontinuity Asperity Degradation and Void Space Morphology under Direct Shear

Rock mass discontinuities represent planes of relative weakness and enhanced hydraulic conductivity and, thus, have a substantial influence on the hydro-mechanical behaviour of the overall rock mass. While the shearing of rock mass discontinuities has been extensively studied in the past, there remains uncertainty surrounding the mechanisms by which surface asperities deform and degrade during shear and how this degradation influences the aperture distribution. Although prior studies have attempted to investigate asperity failure mechanisms, they have been hampered by the lack of appropriate visualization and modelling tools. In particular, until recently it was not possible to observe asperity damage without physically separating the joint specimen or explicitly modelling the development of damage during a direct shear test. Over the last decade, micro X-ray Computed Tomography (μCT) has emerged as an ideal tool to nondestructively characterize fractures and damage in geomaterials. Over this same period, hybrid continuum/discontiuum modelling techniques, capable of explicitly modelling fracture and fragmentation have been developed and applied to rock mechanics problems. However, to date, there has been limited application of these technologies to the study of rock discontinuities subjected to shearing. The overall goal set forth in this thesis was to combine the use of these two technologies to develop an improved understanding and confirm empirical assumptions regarding the evolution of asperity degradation and fracture geometry as a result of shearing. The adopted experimental approach involved creating a series of replicated discontinuity specimens that were then subjected to varying shear displacements under different normal loading conditions. Subsequently, μCT imagery of the specimens was acquired and an image processing and analysis procedure was developed to quantitatively evaluate changes in asperity damage and fracture geometry as a function of shear displacement and applied normal load. Through the use of numerical modelling based on the hybrid Finite-Discrete element method (FDEM), the experimentally observed shearing process was then recreated numerically to glean further insight into the shearing process and the different failure mechanisms involved. Ultimately, this work has led to an improved understanding discontinuity morphology related to shearing, the failure mechanics of individual asperities, and the limitations of using a 2D FDEM approach to model discontinuity shearing.
Molecular Targeting of the Fibroblast Growth Factor Receptor Pathway across Various Cancers

Fibroblast growth factor receptors (FGFRs) are a family of receptor tyrosine kinases that are involved in the regulation of cell proliferation, survival, and development. FGFR alterations including amplifications, fusions, rearrangements, and mutations can result in the downstream activation of tyrosine kinases, leading to tumor development. Targeting these FGFR alterations has shown to be effective in treating cholangiocarcinoma, urothelial carcinoma, and myeloid/lymphoid neoplasms, and there are currently four FGFR inhibitors approved by the Food and Drug Administration (FDA). There have been developments in multiple agents targeting the FGFR pathway, including selective FGFR inhibitors, ligand traps, monoclonal antibodies, and antibody–drug conjugates. However, most of these agents have variable and low responses, with some intolerable toxicities and acquired resistances. This review will summarize previous clinical experiences and current developments in agents targeting the FGFR pathway, and will also discuss future directions for FGFR-targeting agents.
Prevalence of Anxiety, Depression and Social Support Networks in HIV/AIDS Patients: A Cross-Sectional Study

Objective: to determine the prevalence of anxiety, depression, and identify social support networks in patients with hiv/aids during the covid-19 pandemic, in a second-level Hospital of the Mexican Institute of Social Security (imss). Methods: cross-sectional analytical study, 420 hiv-positive patients who attended the hiv Clinic of the grh No.1 Vicente Guerrero, in Acapulco, Mexico, from October 2021 to February 2022. A sociodemographic questionnaire was applied to obtain general information, the Gráffar-Méndez Castellanos scale, the Hospital Anxiety and Depression Scale (hads), and the Duke-unc-11 functional social support questionnaire. Descriptive statistics, bivariate analysis, and logistic regression by the Mantel-Haenszel process were performed with the data obtained. Results: the prevalence of anxiety was 7.1%, and depression 5.2%. 89% of the patients perceived to have sufficient total social support. An association between depression, and cd4 lymphocyte count <500 cells/mm3 (ora 2.54, 95% ci 1.06-6.12) was found, as well as, insufficient perceived total social support (ora 15.98, 95% ci 7.68-33.22). Conclusion: Nine out of ten patients perceived to have sufficient total social support, which may be related to the low prevalence of anxiety and depression. cd4 T lymphocyte counts below 500 cells/mm3 were associated with depression. Social support strategies and adherence to antiretroviral treatment are key to the well-being of the population living with hiv/aids during, and in the new normality of the covid-19 pandemic.
Professional Quality of Life in Healthcare Workers During the COVID-19 Pandemic

Objective: To evaluate the professional quality of life in healthcare workers during the covid-19 pandemic in Mexico. Methods: an analytical cross-sectional study conducted in clinical and administrative workers of a Primary care level unit. To assess managerial support, workload, and intrinsic motivation the Professional Quality of Life questionnaire (qpl-35) was applied. Descriptive statistics were performed with frequencies, percentages, mean, and standard deviation. To compare the quality-of-life scores according to demographic, clinical, and work characteristics of the workers, Student's t-tests, χ2 and Kruskal-Wallis tests were used; a p value of <0.05 was considered statistically significant. The information was analyzed in the spss v. 25 statistical program. Results: 246 health professionals participated, 66.3% were women, and the average age was 36.77 ± 8.81 years. There were 0.81% of workers with poor quality of life, 45.12% fair quality of life, and 54.06% good quality of life. The quality of professional life obtained a mean of 245.75 ± 36.31 points. In managerial support, a significant statistical difference was found in the type of hiring (p= 0.01); in workload, a statistical difference was found in level of studies (p<0.001), and finally in the intrinsic motivation in gender (p= 0.001). Conclusion: health care workers presented a regular perception of professional quality of life during the third wave of covid-19. However, there are various studies published for our country that allows us to place ourselves on a scale or make a comparison with other institutions in terms of quality of life.
Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence

(1) Background: Advancements in the field of liver surgery have led to a critical need for precise estimations of preoperative liver function to prevent post-hepatectomy liver failure (PHLF), a significant cause of morbidity and mortality. This study introduces a novel application of artificial intelligence (AI) in determining safe resection volumes according to a patient’s liver function in major hepatectomies. (2) Methods: We incorporated a deep learning approach, incorporating a unique liver-specific loss function, to analyze patient characteristics, laboratory data, and liver volumetry from computed tomography scans of 52 patients. Our approach was evaluated against existing machine and deep learning techniques. (3) Results: Our approach achieved 68.8% accuracy in predicting safe resection volumes, demonstrating superior performance over traditional models. Furthermore, it significantly reduced the mean absolute error in under-predicted volumes to 23.72, indicating a more precise estimation of safe resection limits. These findings highlight the potential of integrating AI into surgical planning for liver resections. (4) Conclusion: By providing more accurate predictions of safe resection volumes, our method aims to minimize the risk of PHLF, thereby improving clinical outcomes for patients undergoing hepatectomy.
Review and Outlook on GaN and SiC Power Devices: Industrial State-of-the-Art, Applications, and Perspectives

We present a comprehensive review and outlook of silicon carbide (SiC) and gallium nitride (GaN) transistors available on the market for current and next-generation power electronics. Material properties and structural differences among GaN and SiC devices are first discussed. Based on the analysis of different commercially available GaN and SiC power transistors, we describe the state-of-the-art of these technologies, highlighting the preferential power conversion topologies and the key characteristics of each technological platform. Current and future fields of application for GaN and SiC devices are also reviewed. The article also reports on the main reliability aspects related to both technologies. For GaN HEMTs, threshold voltage stability, dynamic ON-resistance, and breakdown limitation are described, whereas for SiC MOSFETs the analysis also focuses on gate oxide failure and short-circuit (SC) robustness. Finally, we give an overview on the perspective of such materials in different fields of interest. An indication of possible future improvements and developments for both technologies is drawn. The requirements for hybrid converters, along with a careful optimization of performance and the use of innovative optimization tools, are underlined.
Soccer Speed

The world’s most popular sport is also one of the most demanding. Stronger, smarter, and more agile players have increased the intensity and tempo of the game. Success hinges on the ability to read, react, and execute. For individual players and teams alike, speed is a necessity. Soccer Speed is a groundbreaking work’more than a training guide, but an all-encompassing execution plan for success in today’s aggressive, attacking, and fast-paced game. Inside, you’ll learn how to develop these skills: Quickness, agility, and balance for defending, attacking, reacting, and executingMost effective techniques, such as heel passes and stride changes, to challenge opponents and keep them off balanceSoccer intelligence, or the ability to instantly recognize and exploit the opposition’s weakness In-game decision making with and without the ball Every aspect of the game is covered, including step-by-step instruction and 36 drills for developing technical and tactical speed in passing, receiving, dribbling, scoring, counterattacking, and defending. Soccer Speed is the one and only guide for outpacing, outsmarting, and outplaying the opposition.