Miracle-dz/UniFAR-FTUs huggingface dataset:
Seafloor pockmarks on the South Westland margin of the South Island/Te Waipounamu, Aotearoa New Zealand

ABSTRACT Enclosed depressions, termed pockmarks, are widespread seafloor morphologies, commonly associated with fluid seepage. This study provides the first detailed documentation of pockmarks offshore the South Westland margin of the South Island/Te Waipounamu, Aotearoa New Zealand. Pockmarks are identified from multibeam bathymetry (25-m grid) through manual and semi-automated selection in water depths of 100–2600 m. Pockmarks are most concentrated at 400–850 m water depth on continental slope areas between submarine canyons. A continuum of pockmark morphologies includes – (1) large (>0.5 km2 area) and irregularly shaped pockmarks above partially infilled channels; (2) small and circular pockmarks (∼100–200 m diameter; ∼0.008–0.03 km2 area) occurring between canyons; and (3) elongated and intermediate size pockmarks, generally oriented along-slope and often occurring above buried sediment waves. Elongated pockmarks appear to have been modified by near-seafloor oceanographic and/or turbidity current flows. Pockmark features occur across many locations around Aotearoa, including both the eastern and western margins. Some similar pockmark morphologies are identified in these different tectonic, sedimentary, and oceanographic settings, suggesting that there may be some similarity in formative mechanisms, but clear mechanisms leading to their formation remain enigmatic.
Using multiple objective optimisation to generate policy insights for system dynamics models.

Multiple objective optimisation (MOO) is an optimisation approach that has been widely used to solve optimisation problems with more than one objective function. The benefit of this approach is that it generates – using genetic algorithms a set of non-dominated solutions which a policy maker can explore and evaluate before making a final optimal selection. This paper demonstrates that MOO can be used to assist policy makers explore a richer set of alternatives when deciding on a range of values for key parameters in their system dynamics model. In order to demonstrate the approach, a well-known case study – The Domestic Manufacturing Company – is used, and a stock and flow model and a multiple objective optimiser are designed and coded. The results show that valid solutions are generated, and that each of these solutions can be examined independently – and hence give greater insight into the problem at hand before a decision is made as to the most appropriate solution.
Early-onset vascular leukoencephalopathy caused by bi-allelic NOTCH3 variants

Objective Heterozygous NOTCH3 variants are known to cause cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), with patients typically presenting in adulthood. We describe three patients presenting at an early age with a vascular leukoencephalopathy. Genome sequencing revealed bi-allelic variants in the NOTCH3 gene. Methods Clinical records and available MRI and CT scans of three patients from two unrelated families were retrospectively reviewed. Results The patients presented at 9-14 months of age with developmental delay, seizures, or both. The disease course was characterized by cognitive impairment and variably recurrent strokes, migraine attacks, and seizures. MRI findings pointed at a small vessel disease, with extensive cerebral white matter abnormalities, atrophy, lacunes in the basal ganglia, microbleeds and microcalcifications. The anterior temporal lobes were spared. Bi-allelic cysteine-sparing NOTCH3 variants in exons 1, 32 and 33 were found. Interpretation This study indicates that bi-allelic loss-of-function NOTCH3 variants may cause a vascular leukoencephalopathy, distinct from CADASIL.
Your Wait Time From This Point Will Be . . .

Amusement park developers have begun designing queue systems to make the wait for service less cumbersome for guests. Maister introduced a theoretical framework with eight guidelines for improving customer satisfaction and minimizing the perception of wait duration. These guide- lines were designed to be generalizable to a wide range of settings but do not fully take into account the unique characteristics of theme park queues. The following proposed guidelines offer a taxonomy for reducing the negative impact of subjective perception of time and provide a specific framework for designing these queued environments in an amusement park setting.
Presenting KAPODI – The Searchable Database of Emotional Stimuli Sets

Emotional stimuli such as images, words, or video clips are often used in studies researching emotion. New sets are continuously being published, creating an immense number of available sets and complicating the task for researchers who are looking for suitable stimuli. This paper presents the KAPODI-database of emotional stimuli sets that are freely available or available upon request. Over 45 aspects including over 25 key set characteristics have been extracted and listed for each set. The database facilitates finding of and comparison between individual sets. It currently contains sets published between 1963 and 2020. A searchable online version (https://airtable.com/shrnVoUZrwu6riP9b) allows users to select specific set characteristics and to find matching sets accordingly, as well as to add new published sets.
Luz organizacyjny jako potencjał odnowy organizacyjnej Organizational slack as the potential of organizational renewal

This paper makes an attempt to anchor a phenomenon of organizational renewal in the context of organizational slack within Resource Based View perspective. In this vein we formulated four propositions concerning organizational renewal in specific, and resource configuration, that creates organizational slack in general. The article also reconcile the construct of organizational renewal with organizational effectiveness. It is logically concluded with implications for both, theory and practice of management.
How green primary iron production in South Africa could help global decarbonization

ABSTRACT The production of iron and steel is one of the largest global sources of industrial greenhouse gas (GHG) emissions. South Africa (SA) could competitively export near-zero embodied GHG primary iron to steelmakers in leading decarbonizing markets. A green primary iron production process substitutes hydrogen for coke as the iron ore reductant. A SA plant would enjoy most of its competitive cost advantage from hydrogen produced using very low-cost solar photovoltaic electricity. In import markets, using the European Union (EU) as an example, steelmakers could use imported green primary iron to increase utilization of electric arc furnaces while reducing total EU demand for clean electricity (i.e. for hydrogen for reduction needs) and thereby lower total system costs of decarbonization. SA could bolster crucial export and tax revenues while moving towards a broader transition to a sustainable industry. Three things are needed to unlock new global business models involving the relocating of green primary iron production to regions with abundant renewable energy: (1) a steelmaker with access to a hydrogen reduction technology appropriate for SA’s ores willing and able to invest in a plant; (2) access to a bankable lead market for that plant’s production; and (3) international trade rules and emissions accounting related to the carbon content of commodities that enable the reconfiguration of supply chains to reduce global decarbonization costs. Key policy insights Green primary iron production in SA could increase value added from local iron ore and solar energy resources, bolster exports and initiate transformation to a sustainable industry. Green primary iron imports from SA to the EU could reduce the cost of overall decarbonization while increasing the competitiveness of steel product manufacturing. Enabling conditions include a willing steelmaker, fair access to the EU iron market, enabling trade rules, and embodied emissions certification and accounting. Green primary iron imports can reduce demands on EU low carbon electricity supply, lowering electricity prices and increasing energy security. The collaboration envisioned between the EU and SA could help develop the framework for future inter-regional decarbonization strategies for other commodities and other countries.
The Researcher's Challenge: The Researcher's Challenge: Building a Credible Literature Review Building a Credible Literature Review Using Electronic Databases Using Electronic Databases

This study examined the accessibility of articles disseminated in mainstream business education periodicals during the three-year period from 1999 to 2001 in four representative electronic databases: ABI/INFORM, ArticleFirst, Education Abstracts, and ERIC. These results were compared with The Business Education Index listings. Information retrieval measures were then calculated. Precision rates varied among the databases. The recall rates for the databases were 90% or greater. Collection failure rates for the four databases exceeded 50%, while the collection failure rate for The Business Education Index was 42%. Adjusting the collection failure rate of The Business Education Index for only two years of actual publication, the collection failure rate dropped to 25%. Building a credible literature review using electronic databases has become problematic. The inability to consu lt The Business Education Index as a research launching point combined with the lack of accuracy and scope of electronic databases serve to diminish the reliability of electronic-based literature reviews.
Detection of Pavement Distresses Using 3D Laser Scanning Technology

The 3D laser scanning is one of the exceptionally versatile and efficient technologies for accurately capturing large sets of 3D coordinates. 3D laser scanner uses a technique that employs reflected laser pulses to create accurate digital models of existing objects. For 3D survey, detection of pavement distresses, such as potholes, large-area utility cuts or patches, is possible application where laser scanner technology excels. The traditional surveying and evaluation of distresses on pavement are extremely rough and restrictive as it implies lane or even entire road closures. In the study, the accurate 3D point-cloud points with their elevations were captured during scanning and extracted focusing on specific distress features by means of a grid-based processing approach. The experimental results indicate that the severity and coverage of distresses can be accurately and automatically quantified to calculate the needed amounts of filled materials. This application is the first attempt and can assist pavement engineers in monitoring pavement performance and estimating repair funding.
Estimating wind using a quadrotor

The aim of this work is to estimate the average wind influencing a quadrotor drone only based on standard navigation sensors and equations of motion. It can be used in several situation, including atmospheric studies, trajectory planning under environmental constraints, or as a reference for studying flights in shear layer. For this purpose, a small quadrotor drone with spherical shape has been developed. Flight data are recorded from telemetry during indoor and outdoor flight tests and are post-processed. The proposed solution is based on a calibration procedure with global optimization to extract the drag model and a Kalman Filter for online estimation of the wind speed and direction. Finally, an on-board implementation of the real-time estimation is demonstrated with real flights in controlled indoor environment.
FAULT TOLERANCE IN CLOUD STORAGE

- Fault tolerance in cloud storage is to enhance data storage security during disaster. so that IaaS (Infrastructure as a Service) in NC Cloud methodology will be implemented here. NC Cloud computation power and storage capacity of cloud computing systems that allow scientists to deploy computation and data intensive applications without infrastructure investment, where big data application sets can be stored in the cloud. In pay-as-you-go model, storage strategies and benchmarking approaches have been mainly developed for cost-effectively storing large volume of generated application data sets in the cloud. However, they are either insufficiently cost-effective for the storage or impractical to be used at runtime. In this paper, toward NC Cloud achieving the minimum cost benchmark, we say highly cost-effective and practical storage strategy that can automatically decide whether a generated data set should be stored or not at the runtime in the cloud. The main aim of this strategy is the local-optimization for the tradeoff between computation and storage, while secondarily also taking users preferences on storage into consideration. At present,the remote monitoring system is growing very high due to the growth of supporting technologies and also in NC Cloud. The problem that may occur in remote monitoring such as the objects to be monitored and how quick how much amount of data to be transmitted to the data centre to be processed properly. This study proposes using a cloud computing infrastructure as processing centre in the remote sensing data. It focuses on the situation for sensing on the environment condition and disaster early detection. Where it has two important issue, especially in big cities that have many residents. This proposes to build the conceptual and also aprototype model in a extensive manner from the remote terminal unit until development method for data retrieval. We propose using FTR-HTTP method to guarantee the delivery of the data from remote client to server.When the destruction occur the database architecture will transfer the database to the concern location assigned from the admin. So that data base can be saving exactly with the last fine transaction. Here data loss will not occur at any cost. This method is based on IP conflict procedure. So that roll backing process can also be possible. Using the same procedure of IP conflict method and this method will shows the data upto last minute transaction.
In Vitro Biocompatibility Study and Electrical Properties of the PEDOT, PEDOT Collagen-Coat, PEDOT Nanotubes and PEDOT Aerogels for Neural Electrodes

The aim of this study is to evaluate the cytotoxicity of Poly(3,4-ethylenedioxythiophene) (PEDOT), PEDOTcollagen and PEDOT nanostructured coatings for neural electrodes. Incorporation of cell growth factors and the structuration of supporting material are two strategies to improve cell adhesion and biocompatibility in order to produce better and more specific neural implants. PEDOT coat, PEDOT-collagen coat, PEDOT nanotubes and PEDOT aerogel were tested for biocompability using the standard ISO 10993-5. PEDOT and PEDOT-Collagen coats were deposited via galvanostatic electropolymerization from a NaPSS micellar dispersion. In addition PEDOT nanotubes were obtained by hard polycarbonate template and PEDOT aerogels were chemically produced through a soft starch template. PEDOT samples were studied for biocompatibility, characterized by LCRmeter and Scanning electron microscopy (SEM). Biocompatibility test verified the absence of cytotoxic effects in all the PEDOT samples.
Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

Classification of drug-resistant tuberculosis (DR-TB) and drug-sensitive tuberculosis (DS-TB) from chest radiographs remains an open problem. Our previous cross validation performance on publicly available chest X-ray (CXR) data combined with image augmentation, the addition of synthetically generated and publicly available images achieved a performance of 85% AUC with a deep convolutional neural network (CNN). However, when we evaluated the CNN model trained to classify DR-TB and DS-TB on unseen data, significant performance degradation was observed (65% AUC). Hence, in this paper, we investigate the generalizability of our models on images from a held out country’s dataset. We explore the extent of the problem and the possible reasons behind the lack of good generalization. A comparison of radiologist-annotated lesion locations in the lung and the trained model’s localization of areas of interest, using GradCAM, did not show much overlap. Using the same network architecture, a multi-country classifier was able to identify the country of origin of the X-ray with high accuracy (86%), suggesting that image acquisition differences and the distribution of non-pathological and non-anatomical aspects of the images are affecting the generalization and localization of the drug resistance classification model as well. When CXR images were severely corrupted, the performance on the validation set was still better than 60% AUC. The model overfitted to the data from countries in the cross validation set but did not generalize to the held out country. Finally, we applied a multi-task based approach that uses prior TB lesions location information to guide the classifier network to focus its attention on improving the generalization performance on the held out set from another country to 68% AUC.
The Corruption of a Measurement System Due to Unintentional Bias: A Preliminary Macro-Ergonomic Study

For the better part of the century, researchers have been analyzing the effect of an external prompt on human behavior. The phenomenon described by previous research has been dubbed the Pygmalion effect. This study looks at the effect an external prompt has on subsequent human behavior in a different setting than traditional Pygmalion studies. It examines the reaction of humans to external prompts in a measurement setting. The primary hypothesis of the research states that in a measurement system, indications about the expected outcome of inspections can lead people to inadvertently change their measurement techniques such that their results are significantly skewed toward the bias value compared to an unprompted group. The study was performed on 24 college students, measuring corruption in two different types of measurement systems, a rigid mechanical system and a visual inspection system. In two of the four measurement tasks in the rigid mechanical system, the evidence supported the hypothesis that a bias can be introduced. In the visual inspection system, each of the two measurement tasks supported the existence of an unintentional measurement bias. This study presents a challenge to the objectivity of measurement systems, which is a generally accepted, and poses several research questions from which future studies can be spawned and is a concern to researchers and practitioners interested in this aspect of macro-ergonomics.
Correlation between the International Prostate Symptom Score, Ultrasound Features and Maximum Flow Rate in Cameroonian Patients with Benign Prostatic Hypertrophy

Background: Benign prostatic hypertrophy is the non-malignant stromal and epithelial proliferation of the prostate gland, with or without associated anatomical enlargement of the gland and clinical symptoms. Symptomatic Benign prostatic hypertrophy may cause obstructive symptoms, irritative symptoms or both obstructive symptoms include a sensation of incomplete bladder emptying, straining to void, urinary hesitancy and weak stream while irritative symptoms include dysuria, nocturia, urinary frequency and urinary urgency. A quantitative measure of the severity of lower urinary tract symptoms due to benign prostatic hypertrophy can be obtained using the International Prostate Symptoms Score. Ultrasonography is useful for helping to determine bladder and prostate size in patients with urinary lower urinary tract symptoms. Uroflowmetry is a non-invasive test that assesses voiding func-tion. It provides valuable data on the voided volume, time is taken to reach maximum flow rate and average flow rate. The goal of this study was to im-prove prostatic enlargement suggestive of benign prostatic hypertrophy taking into account clinical, uroflowmetry and ultrasound findings. Results: A study population of 103 participants was recruited. The mean age of patients was 63.17 ± 10.26 years. Concerning the International Prostate Symptoms Score, the mean total, voiding (obstructive) and storage (irritative) scores were 14.6 ± 6.2, 8.5 ± 4.1 and 6.05 ± 2.7 respectively. The mean maximum flow rate was 13.44 ± 3.88 mL/s. The mean prostate volume was 53.71 ± 16.46 ml. A majority of patients have an enlarged prostate 1.5 to 2 times (46 to 60 mL) the upper limit for normal value. The intravesical prostatic protrusion was present in eighty-three (80.58%) and absent in 20 (19.42%). Above a prostate volume of 60 mL, 91% to 100% of our patients had intravesical prostatic protrusion. There was strong evidence (p < 0.001) that a change from no intravesical prostatic protrusion to intravesical prostatic protrusion grade 1 increased the chances of having a low maximum flow rate with a crude odds ratio of 7.98. The adjusted odds ratio after multivariate analysis was 5.26 and this remained statistically significant (p = 0.03). Conclusion: the measure of intravesical prostatic protrusion is superior to the prostate volume in the assessment of maximum flow rate and thus the follow up of patients with benign prostatic hypertrophy. This measure which is non-invasive, easy to measure, easily ac-cessible, and cost effective may be a useful tool in predicting voiding dysfunction and acute urinary retention.
Correlation between Mild Traumatic Brain Injury-Induced Inflammatory Cytokines and Emotional Symptom Traits: A Systematic Review

Both mild traumatic brain injuries (mTBI) and systemic injuries trigger a transient neuroinflammatory response that result in similar clinical outcome. The ensuing physical, cognitive, and emotional symptoms fail to subside in approximately 15–20% of the concussed population. Emotional impairments, particularly depression, anxiety, and post-traumatic stress disorder (PTSD), are commonly associated with poor recovery following mTBI. These emotional impairments also have a significant neuroinflammatory component. We hypothesized that the inflammatory cytokines seen in mTBI patients with emotional symptoms would coincide with those commonly seen in patients with emotional symptoms without mTBI. A systematic review was conducted to identify the most common neuroinflammatory cytokines in the mTBI population with psychological symptoms (depression, anxiety, PTSD). The electronic databases EMBASE, MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), PUBMED, and PSYCINFO were searched from data inception to 31 August 2021. A systematic screening approach was employed from screening to data analysis. A total of 994 articles were screened, 108 were selected for full article review, and 8 were selected for data analysis. The included studies consisted of 875 patients of which 81.3% were male. The mean sample size of patients with at least one mTBI was 73.8 ± 70.3 (range, 9–213), with a mean age of 33.9 ± 4.8 years. The most common cytokines associated with poor psychological outcomes involving PTSD and/or depression in the chronic mTBI population were IL-6, TNFα, IL-10, and CRP.