Miracle-dz/UniFAR-FTUs huggingface dataset:
A Regional Frequency Analysis of Tide Gauges to Assess Pacific Coast Flood Risk

A regional frequency analysis (RFA) of tide gauge (TG) data fit with a Generalized Pareto Distribution (GPD) is used to estimate contemporary extreme sea level (ESL) probabilities and the risk of a damaging flood along Pacific Basin coastlines. Methods to localize and spatially granulate the regional ESL (sub-annual to 500-year) probabilities and their uncertainties are presented to help planners of often-remote Pacific Basin communities assess (ocean) flood risk of various threshold severities under current and future sea levels. Downscaling methods include use of local TG observations of various record lengths (e.g., 1–19+ years), and if no in situ data exist, tide range information. Low-probability RFA ESLs localized at TG locations are higher than other recent assessments and generally more precise (narrower confidence intervals). This is due to increased rare-event sampling as measured by numerous TGs regionally. For example, the 100-year ESLs (1% annual chance event) are 0.15 m and 0.25 higher (median at-site difference) than a single-TG based analysis that is closely aligned to those supporting recent Intergovernmental Panel on Climate Change (IPCC) assessments and a third-generation global tide and surge model, respectively. Height thresholds for damaging flood levels along Pacific Basin coastlines are proposed. These floods vary between about 0.6–1.2 m or more above the average highest tide and are associated with warning levels of the U.S. National Oceanic and Atmospheric Administration (NOAA). The risk of a damaging flood assessed by the RFA ESL probabilities under contemporary sea levels have about a (median) 20–25-year return interval (4–5% annual chance) for TG locations along Pacific coastlines. Considering localized sea level rise projections of the IPCC associated with a global rise of about 0.5 m by 2100 under a reduced emissions scenario, damaging floods are projected to occur annually by 2055 and >10 times/year by 2100 at the majority of TG locations.
‘The Free-Flying Natural Woman Boobs of Yore’? the Body Beyond Representation in Feminist Accounts of Objectification

This article takes up references to breasts as a key case study to examine white Western feminist debate around embodiment and objectification. Tracking shifting understandings of ‘the gaze’ in these accounts, we find that objectification is often rendered singular, ahistorical and, increasingly, individually internalised. The history of these approaches to objectification helps to explain why during the early 2000s, theorisations of feminist politics-lost were often rhetorically located alongside discussions of surgically modified breasts as a symbol of a new era of ‘fake’ feminism. In contrast, the 2010s saw several feminist movements premised on exposure of flesh and claims to individual recuperation of bodily autonomy. This article contends that both of these perspectives rely on a notion, built over successive eras of white Western feminist thought, that political work can and ought to be done through the body as a site of representational politics. This article subsequently offers a brief insight into how we might queer our approach to breasts to better account for the messiness of experiences of the flesh, considering the personal as political, while not investing in the body as the site where politics must be enacted.
Trustworthiness Perceptions in Code Review: An Eye-tracking Study

Background: Automated program repair and other bug-fixing approaches are gaining attention in the software engineering community. Automation shows promise in reducing bug fixing costs. However, many developers express reluctance about accepting machine-generated patches into their codebases. Aims: To contribute to the scientific understanding and the empirical investigation of human trust and perception with regards to automation in software maintenance. Method: We design and conduct an eye-tracking study investigating how developers perceive trust as a function of code provenance (i.e., author or source). We systematically vary provenance while controlling for patch quality. Results: In our study of ten participants, overall visual code scanning and the distribution of attention differed across identical code patches labeled as human- vs. machine-written. Participants looked more at the source code for human-labeled patches and looked more at tests for machine-labeled patches. Participants judged human-labeled patches to have better readability and coding style. However, participants were more comfortable giving a critical task to an automated program repair tool. Conclusion: We find that there are significant differences in code review behavior based on trust as a function of patch provenance. Further, we find that important differences can be revealed by eye tracking. Our results may inform the subsequent design and analysis of automated repair techniques to increase developers' trust and, consequently, their deployment.
A comprehensive model integrating UTAUT and ECM with espoused cultural values for investigating users' continuance intention of using mobile payment

Mobile payment (M-payment), as an emerging financial transaction method has been widely adopted in various contexts. In order to investigate the significance factors and espoused cultural moderators impacting users' M-payment continuance usage intention in China, this study proposes a comprehensive model integrating Unified Theory of Acceptance and Use of Technology (UTAUT) and Expectancy Confirmation Model (ECM) with trust variable espoused by Hofstede's cultural value to investigate factors affecting users' continuance intention of using M-payment. In addition, based on the proposed model, researchers can more accurately explain user' behavior not only corresponding technological perceptions, but also mental expectations and espoused cultural values for various technology continuance acceptance under different cultural background.
Long-term variation in numbers and biomass of silver eels being produced in two European river systems

W. Russell Poole*, Ola H. Diserud, Eva B. Thorstad, Caroline M. Durif, Conor Dolan, Odd Terje Sandlund, Knut Bergesen, Gerard Rogan, Sean Kelly, and Leif Asbjørn Vøllestad Marine Institute, Furnace, Newport, Co. Mayo, Ireland Norwegian Institute for Nature Research (NINA), Trondheim NO-7485, Norway Institute of Marine Research, Austevoll Research Station, Storebø, Norway School of Biological Sciences, Queen’s University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK NINA Research Station, Sandnes NO-4308, Norway Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway *Corresponding author: tel: þ353 98 42300; fax: þ353 98 42340; e-mail: russell.poole@marine.ie.
Servant leadership, diversity climate, and organisational citizenship behaviour at a selection of South African companies

The study examined the mediation effect of diversity climate on the relationship between servant leadership and organisational citizenship behaviour (OCB). Participants were a convenience sample of 262 employees from South African financial, industrial, manufacturing, and retail sectors (male = 52.9%; white = 69.3%; postgraduate university degree holders = 35.4%). The employees completed measures for servant leadership, diversity climate, and OCB. Simple mediation model analysis using PROCESS indicated servant leadership to improve employees’ perceptions of diversity climate and OCB. Perceived servant leadership demonstrated a significant indirect effect on employees’ OCB through diversity climate. We conclude that servant leadership symbolises an ethical component that would improve employees’ OCB through a conducive diversity climate.
CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews

To keep its business reliable, Google is concerned to ensure the quality of apps on the store. One crucial aspect concerning quality is security. Security is achieved through Google Play protect and anti-malware solutions. However, they are not totally efficient since they rely on application features and application execution threads. Google provides additional elements to enable consumers to collectively evaluate applications providing their experiences via reviews or showing their satisfaction through rating. The latter is more informal and hides details of rating whereas the former is textually expressive but requires further processing to understand opinions behind it. Literature lacks approaches which mine reviews through sentiment analysis to extract useful information to improve the security aspects of provided applications. This work goes in this direction and in a fine-grained way, investigates in terms of confidentiality, integrity, availability, and authentication (CIAA). While assuming that reviews are reliable and not fake, the proposed approach determines review polarities based on CIAA-related keywords. We rely on the popular classifier Naive Bayes to classify reviews into positive, negative, and neutral sentiment. We then provide an aggregation model to fusion different polarities to obtain application global and CIAA reputations. Quantitative experiments have been conducted on 13 applications including e-banking, live messaging and anti-malware apps with a total of 1050 security-related reviews and 7,835,322 functionality-related reviews. Results show that 23% of applications (03 apps) have a reputation greater than 0.5 with an accent on integrity, authentication, and availability, while the remaining 77% has a polarity under 0.5. Developers should make a lot of effort in security while developing codes and that more efforts should be made to improve confidentiality reputation. Results also show that applications with good functionality-related reputation generally offer a bad security-related reputation. This situation means that even if the number of security reviews is low, it does not mean that the security aspect is not a consumer preoccupation. Unlike, developers put much more time to test whether applications work without errors even if they include possible security vulnerabilities. A quantitative comparison against well-known rating systems reveals the effectiveness and robustness of CIAA-RepDroid to repute apps in terms of security. CIAA-RepDroid can be associated with existing rating solutions to recommend developers exact CIAA aspects to improve within source codes.
A Distributed Architecture for Smart Recycling Using Machine Learning

Recycling is vital for a sustainable and clean environment. Developed and developing countries are both facing the problem of solid management waste and recycling issues. Waste classification is a good solution to separate the waste from the recycle materials. In this work, we propose a cloud based classification algorithm for automated machines in recycling factories using machine learning. We trained an efficient MobileNet model, able to classify five different types of waste. The inference can be performed in real-time on a cloud server. Various techniques are described and used in order to improve the classification accuracy, such as data augmentation and hyper-parameter tuning. Multiple industrial stations are supported and interconnected via custom data transmission protocols, along with security features. Experimental results indicated that our solution can achieve excellent performance with 96.57% accuracy utilizing a cloud server.
Multi-valued interval neutrosophic linguistic soft set theory and its application in knowledge management

This study proposed the concepts of a multi-valued interval neutrosophic linguistic soft set (MVINLSS) by integrating the concepts of multi-valued interval neutrosophic soft set and linguistic set. MVINLSS is presented as it can deal with ambiguous and uncertain information in decision making which is characterised by linguistic membership. This proposed set amalgamates quantitative assessment with the qualitative assessment which can solve complex problems with ambiguity, uncertainty, and inconsistency. It can be an effective tool to describe the real decision-makers’ opinions and reflect their hesitancy. Then, the authors propose the basic operational rules of MVINLSS. Moreover, they define a multi-valued interval neutrosophic linguistic soft weighted arithmetic averaging operator. This work proposed a multi-criteria decision-making (MCDM) method which considers different priority levels of criteria and the criteria values take the form of multi-valued interval neutrosophic linguistic soft numbers. Finally, the proposed MCDM method is applied to the knowledge management case, considering 11 criteria.
Use of exhaled breath condensate (EBC) in the diagnosis of SARS-COV-2 (COVID-19)

False negatives from nasopharyngeal swabs (NPS) using reverse transcriptase PCR (RT-PCR) in SARS-CoV-2 are high. Exhaled breath condensate (EBC) contains lower respiratory droplets that may improve detection. We performed EBC RT-PCR for SARS-CoV-2 genes (E, S, N, ORF1ab) on NPS-positive (n=16) and NPS-negative/clinically positive COVID-19 patients (n=15) using two commercial assays. EBC detected SARS-CoV-2 in 93.5% (29/31) using the four genes. Pre-SARS-CoV-2 era controls (n=14) were negative. EBC was positive in NPS negative/clinically positive patients in 66.6% (10/15) using the identical E and S (E/S) gene assay used for NPS, 73.3% (11/15) using the N/ORF1ab assay and 14/15 (93.3%) combined.
Principle of Optimal Voltage Regulation and Energy-Saving for Induction Motor With Unknown Constant-Torque Working Condition

To achieve optimal voltage regulation and energy savings of an AC induction motor operating under constant-torque and variable-working-load conditions, and consider a motor’s T-type and <inline-formula> <tex-math notation="LaTeX">$\Gamma $ </tex-math></inline-formula>-type equivalent circuit, the copper and iron losses of the stator were regarded as invariable losses that were only related to the stator voltage, and the copper losses of the rotor were regarded as variable losses that varied with the load torque. The total electrical loss formula and the optimal voltage regulation formula for the motor were deduced. The formulas revealed that the total electrical loss of the motor was affected by the stator voltage and the rotor load torque, and the optimal voltage regulation changed exponentially with the load torque of the motor. The calculation results of an engineering example showed that when <inline-formula> <tex-math notation="LaTeX">$s =0.01$ </tex-math></inline-formula>–0.03 and the motor operated stably, the motor load torque error was not more than 1.8 <inline-formula> <tex-math notation="LaTeX">$\text{N}\cdot \text{m}$ </tex-math></inline-formula> based on the exact and approximate solutions of the slip <inline-formula> <tex-math notation="LaTeX">$s$ </tex-math></inline-formula>. The total electrical loss showed almost no calculation error when the working voltage of the motor was higher than 230 V. The optimal voltage regulation and its error increased with the increase in the motor load torque, but within the working voltage range of the motor, the optimal voltage regulation error did not exceed 6 V. The total electrical loss with the optimal voltage regulation mode and a variable load torque was less than the total electrical loss of a 380- or 220-V constant driving mode. With the increase in the load rate, the total electrical loss increased. When the motor’s load did not exceed the medium load and the motor operated with optimal voltage regulation, the energy-saving effect was significant. In particular, when the motor operated without a load, the total electrical loss was almost 0.
Factors affecting oestrogen action in the human prostate : does 5α-reductase type 1 isozyme have a role?

OF THESIS Oestrogens have long been implicated in prostatic pathology including benign prostatic hyperplasia. Their actions and metabolic pathways within the organ are yet unclear. The aim of this project was to investigate the factors that affect the actions of oestrogens in the prostate. A role for 5a-reductase type 1 isozyme (5aRl) in oestrogen metabolism was also examined. Little is known about the functions of 5aRl in the human prostate. Substrates for 5a-reductase are also substrates for aromatase. The hypothesis that 5aRl plays a role in the regulation of aromatase activity by limiting substrate availability to the latter in the human prostate was tested in a co-transfection model and in primary cultures of prostatic cells. In COS-1 cells transiently co-transfected with plasmids encoding 5aRl and aromatase, inhibition of 5aRl led to an increase in aromatase activity but not vice versa. This pattern of interaction between the two enzymes was also shown to occur with endogenous enzymes expressed in primary cultures of prostatic fibroblasts. No aromatase activity was detectable in epithelial cells. By regulating aromatase activity, 5aRl may therefore contribute to the local control of oestrogen concentration within the prostate gland. In this study, prostatic cells were revealed to be oestrogen target cells, not only expressing mRNAs of both subtypes of oestrogen receptor (ERa and ERP) but also responding to oestradiol with increased proliferation rates. This oestrogen stimulation of proliferation was antagonised by the antioestrogen ICI 182,780. Moreover, prostatic fibroblasts aromatised androgen substrates to oestrogens (oestrogen formation). Both fibroblast and epithelial cell cultures also converted oestradiol to oestrone (oestrogen catabolism) but not vice versa. Primary cultures of
Meningoencephalitis in farmed monosex Nile tilapia (Oreochromis niloticus L.) caused by Streptococcus agalactiae

Abstract Aquaculture of tilapia is a new research venture in India. With intensification in farming practices, tilapia are increasingly susceptible to bacterial infections. This article describes the isolation and identification of pathogenic bacteria from cultured monosex Nile tilapia, Oreochromis niloticus (L.), that experienced moderate to severe mortalities in West Bengal, India between September and August 2014 and histopathological alterations in various organs. Gram-positive diplococci, identified as Streptococcus agalactiae with Streptococcus identification kits and 16S rDNA sequencing analysis, were isolated from the brain, operculum, and kidney. Other bacteria from the kidney were identified as Aeromonas sobria, A. caviae, Klebsiella pneumoniae ssp. pneumoniae, Escherichia coli, and Enterobacter cloacae. Staphylococcus epidermis was isolated from opercular hemorrhages. Histological sections of the infected tilapia brain revealed meningoencephalitis and granulomatous lesions. Sections from other organs indicated congestion, hemorrhagic and hyperplastic cells, necrosis, vacuolation, hemosiderin deposition, hypertrophic nuclei, melanomacrophage aggregation, and ruptured veins. This report is the first description of S. agalactiae as a primary pathogen causing meningoencephalitis in cultured tilapia in India.
Profil Glukosa dan Urea Darah Sapi Bali Jantan pada Penggemukan dengan Hijauan (Greenlot Fattening) di Peternakan Rakyat

ABSTRAK. Penelitian bertujuan mengetahui profil glukosa dan urea darah pada Sapi Bali jantan pada penggemukan dengan hijauan di peternakan rakyat. Ternak yang digunakan sebanyak sembilan ekor Sapi Bali jantan dengan kisaran umur 2,5 – 3,5 atau 3,0 tahun, bobot badan awal sebesar 257,40±23,60 kg. Metode yang digunakan berupa metode deskriptif dengan perlakuan disesuaikan kebiasan peternak dalam menggemukkan ternak yang meliputi tatalaksana pakan, perkandangan serta kesehatan. Jenis pakan yang diberikan bervariasi meliputi Centrosema pubences , Clitoria ternatea , jerami jagung segar, king grass ( Pennisetum purpuroides ), lamtoro ( Leucaena leucocepala) , rumput alam, rumput gajah (Pennisetum purpureum) dan turi ( Sesbania grandiflora ). Peubah yang diamati meliputi tampilan glukosa dan urea plasma darah pada 0 jam (sebelum pemberian pakan) dan 2,4,6 jam setelah pemberian pakan. Hasil penelitian menunjukkan bahwa rerata kadar glukosa dan urea plasma darah sebelum pemberian pakan (0 jam) adalah 59,07 dan 23,66 mg/dl; kandungan glukosa plasma darah pada 2,4,6 setelah pemberian pakan adalah 57,29; 56,94 dan 61,20 mg/dl atau rerata 58,62 md/dL; sedangkan pada urea plasma darah adalah 23,79; 24,16 dan 24,81 mg/dl atau rata-rata 24,11 mg/dl. Dapat disimpulkan bahwa Sapi Bali jantan yang digemukkan dengan hijauan memperlihatkan kandungan glukosa plasma darah yang relatif normal, namun kandungan urea plasma darah rendah dan di bawah kisaran normal. (The Blood Glucose and Urea Profile of Male Bali Cattle on Greenlot Fattening at Smallholder Farm s) ABSTRACT. The objective of this study was to determine the profile of blood glucose and urea of male Bali cattle on fattening with forage at smallholder farms. The cattle used consisted of nine male Bali cattle with a range of ages 2,5 - 3,5 or on the average 3.0 years old with initial body weight range was 227-290 kg or on the average of 257.40±23,60 kg. This research used descriptive method with treatment be adapted to the practice of farmers in fattened cattle that includes management of feeding, housing, and health. Type of feed given during the study was Centrosema pubences , Clitoria ternatea , fresh corn straw, king grass ( Pennisetum purpuroides) , lamtoro ( Leucaena leucocepala) , natural grass, elephant grass (Pennisetum purpureum) and turi ( Sesbania grandiflora ). Variables measured include the display of blood glucose and urea plasma at zero (O) hour (before feeding) and at 2,4,6 hours post feeding. The results of research showed average content of blood glucose dan urea plasma at zero (0) hours were 59,07 and 23,66 mg/dl; The content of blood glukose plasma at 2,4 an 6 hours post feeding every were 57,29;56,94; and 61,20 mg/dl or an average 58,62 mg/dl. While the content of blood urea plasma were 23,79; 24,16 and 24,81 mg/dl or average 24,11 mg/dl. In Conclusion the Bali cattle male fattened with forage showed of blood glukose plasma were relatively normal, although the blood urea plasma were lowly and below the normal range.
High-Performance Optical Frequency-Domain Reflectometry Based on High-Order Optical Phase-Locking-Assisted Chirp Optimization

We present optical frequency-domain reflectometry with high performance in terms of an ultralong range window, high spatial resolution, and precision enabled by a high-order optical phase-locked loop (OPLL)-assisted commercial fiber laser. Due to elaborate loop designs that allow matching with the nonlinear frequency modulation response of the laser, the potential tuning capability can be fully exploited, leading to efficient optimization of the frequency chirp range and rate in addition to chirp linearization and an enhancement of the dynamic coherence. A nearly Fourier-transform-limited spatial resolution is realized over multiples of the intrinsic coherence length. Practically, a cm-level spatial resolution is demonstrated along the entire fiber link. We achieved a spatial resolution of ∼3.2 cm and ∼4.3 cm for backscatter no more than 130 km and reflections at 242 km, respectively, corresponding to a high range resolution factor of up to 1.78 × 10−7 in the latter case. The precision of the backscatter measurement is verified to be at least 0.5 dB throughout the entire measurement range. Moreover, the limiting factors resulting in a degeneration of the spatial resolution are carefully investigated. The proposed approach can be readily applied to other lasers, offering a powerful tool for a variety of applications.