Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Port Authority in Port Governance and Port Community System Implementation

This paper researches the role of the port authorities in port governance, and the role of the port authorities in Port Community System implementation. The authors provide the theoretical frameworks of seaports, port authorities, port governance, and Port Community Systems. The literature review was carried out using the Web of Science database and additional relevant sources. The authors concluded that although different port governance models exist (regarding the type of port authority), there is no evidence as to which governance model is universally preferable, as it is specific to each seaport. In addition, the research has shown that port authorities play a very important role in the implementation of a Port Community System, increasing the sustainability of seaport operations. Its implementation enables the port authorities to evolve into real digital hubs and neutral data managers, which ultimately leads to the optimization of seaport processes and more efficient use of transport infrastructure.
Workforce Scheduling with Order-Picking Assignments in Distribution Facilities

Scheduling the availability of order pickers is crucial for effective operations in a distribution facility with manual order pickers. When order-picking activities can only be performed in specific time windows, it is essential to jointly solve the order picker shift scheduling problem and the order picker planning problem of assigning and sequencing individual orders to order pickers. This requires decisions regarding the number of order pickers to schedule, shift start and end times, break times, as well as the assignment and timing of order-picking activities. We call this the order picker scheduling problem and present two formulations. A branch-and-price algorithm and a metaheuristic are developed to solve the problem. Numerical experiments illustrate that the metaheuristic finds near-optimal solutions at 80% shorter computation times. A case study at the largest supermarket chain in The Netherlands shows the applicability of the solution approach in a real-life business application. In particular, different shift structures are analyzed, and it is concluded that the retailer can increase the minimum compensated duration for employed workers from six hours to seven or eight hours while reducing the average labor cost with up to 5% savings when a 15-minute flexibility is implemented in the scheduling of break times.
Bidirectional multi‐resonant converter with a wide voltage range

A bidirectional multi-resonant DC/DC converter is proposed in this study. The structure of the converter is symmetrical, and the operating characteristics of the bidirectional operation mode are the same. Adopting synchronous driving, the converter can regulate the output voltage over a wide range. Regardless of a forward mode or reverse mode, the switches of the converter can realise zero-voltage switching over the entire voltage range. The gain of the converter can be zero due to its characteristics similar to the notch ﬁltre. The converter can transmit the fundamental wave and the third harmonic at the same time, and the energy utilisation rate is high. The converter has a wide voltage range and high efﬁciency at the same time. A 3.3 kW experimental prototype is designed. In forward mode, the secondary-side voltage varies from 250 to 450 V, and the peak efﬁciency is 97.7%. In reverse mode, the secondary-side voltage varies from 300 to 450 V, and the peak efﬁciency is 97.6%.
Regional Origin Outperforms All Other Sustainability Characteristics in Consumer Price Premiums for Honey: Empirical Evidence for Germany

Sustainability and online retailing are two of the main challenges in the food industry. This study analyzes how honey characteristics, including sustainability indicators, affect consumer prices for honey, using 241 German honey prices in online and offline retailing. Many honey characteristics significantly influence honey prices. However, a clear identification of the regional origin of honey has a particularly strong impact on the consumer price premium. It outperforms all other sustainability indicators such as fairtrade certification, organic production, and environmentally friendly packaging. Regional origins that receive high relative and absolute consumer price premiums are Germany and German regions as well as individual EU and non-EU countries that have a reputation for high-quality in the honey market. Given this evidence, the major demand-side argument behind high consumer price premiums for defined origins appears to be food-safety related concerns. Thus, foreign suppliers will gain from international honey trade with Germany in different ways, depending on their reputation for quality. The magnitude of price premiums is surprisingly stable across different years, as are online prices of honeys that belong to the “core” assortment. Changes in the depth of the assortment, such as non-price competition, rather than price adjustments clear the market.
Quantitation of Total Vanadium in Rodent Plasma and Urine by Inductively Coupled Plasma – Mass Spectrometry (ICP-MS)

Abstract Human exposure to vanadium (V) is anticipated because it is a drinking water contaminant. Due to limited data on soluble V salts, the National Toxicology Program is investigating the toxicity in rodents following drinking water exposure. Measurement of internal V dose allows for interpretation of toxicology data. The objective of this study was to develop and validate an inductively coupled plasma-mass spectrometric method to quantitate total V in rat plasma. The method was linear (r ≥ 0.99) from 5.00 − 1,000 ng V/mL. Intra- and inter-day relative error (% RE) and relative standard deviation (% RSD) of spiked plasma samples were 8.5% to 15.6% RE and ≤ 1.8% RSD and 7.3% to 11.7% RE and ≤ 3.1% RSD, respectively. The limit of detection was 0.268 ng V/mL plasma and absolute percent recovery was 113%. Standards up to 7,500 ng V/mL plasma were diluted into the validated range (5.6% RE, 0.9% RSD). V in extracted plasma samples over 15 days at ambient and refrigerated conditions was from 97.7 to 126% of day 0. Determined plasma V concentrations after three freeze-thaw cycles and after frozen storage for up to 63 days ranged from 100 to 106% and 100 to 122% of day 0, respectively. The method was extended to rat urine (accuracy and precision −2.0 to 0.3% RE and <0.6% RSD, respectively for same linear range). These data demonstrate that the method is suitable to quantitate V in rat plasma and urine.
Stochastic bifurcation for two-time-scale dynamical system with α-stable Lévy noise

This work focuses on stochastic bifurcation for a slow–fast dynamical system driven by non-Gaussian α-stable Lévy noise. We prove the main result for the stochastic equilibrium states for the original system and the reduced system based on the random slow manifold. Then, it is verified that the slow reduced system bears the stochastic bifurcation phenomenon inherited from the original system. Furthermore, we investigate the number and stability type of stochastic equilibrium states for dynamical systems through numerical simulations, and it is illustrated that the slow reduced system captures the stochastic bifurcation of the original system.
Design and Structure-Activity Relationship of Small Molecule C-terminal Binding Protein (CtBP) Inhibitors and Investigation of the Scope of Palladium Multi-Walled Carbon Nanotubes (Pd-MWCNT) Catalyst in C–H Activation Reactions

DESIGN AND STRUCTURE-ACTIVITY RELATIONSHIP OF C-TERMINAL BINDING PROTEIN (CTBP) INHIBITORS AND INVESTIGATION OF THE SCOPE OF PALLADIUM MULTI-WALLED CARBON NANOTUBES (Pd-MWCNT) CATALYST IN C–H ACTIVATION REACTIONS By Sudha Korwar, Ph.D. A dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at Virginia Commonwealth University Virginia Commonwealth University, 2016 Major Director: Keith C. Ellis, Assistant Professor, Department of Medicinal Chemistry C-terminal binding proteins (CtBPs) are transcriptional co-repressors involved in developmental processes, and also implicated in a number of breast, ovarian, colon cancers, and resistance against cancer chemotherapy. CtBP is a validated novel potential anti-cancer target. In this project we sought to develop potent and selective small-molecule inhibitors of CtBP. Using a combination of classical medicinal chemistry and modern computational approaches, we designed a potent inhibitor HIPP (hydroxyimino-3-phenylpropanoic acid) that showed an IC50 of 0.24 μM against recombinant CtBP. Further elucidation of the structure-activity relationship (SAR) of HIPP led to the design of more potent inhibitors 3-Cl HIPP (CtBP IC50 = 0.17 μM) and 4-Cl HIPP (CtBP IC50 = 0.18 μM). These compounds also showed inhibition in HCT116 colon cancer cells with GI50 values ~ 1-4 mM. The compounds showed no off-
Altimetry for the future: Building on 25 years of progress

In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the ﬁelds of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Progress in Radar Altimetry. On this latter occasion it was decided to collect contributions of scientists, engineers and managers involved in the worldwide altimetry community to depict the state of altimetry and propose recommendations for the altimetry of the future. This paper summarizes contributions and recommendations that were collected and provides guidance for future mission design, research activities, and sustainable operational radar altimetry data exploitation. Recommendations provided are fundamental for optimizing further scientiﬁc and operational advances of oceanographic observations by altimetry, including requirements for spatial and temporal resolution of altimetric measurements, their accuracy and continuity. There are also new challenges and new openings mentioned in the paper that are particularly crucial for observations at higher latitudes, for coastal oceanography, for cryospheric studies and for hydrology.Thepaperstarts with a general introduction followed by a section on Earth System Science including Ocean Dynamics, Sea Level, the Coastal Ocean, Hydrology, the Cryosphere and Polar Oceans and the ‘‘Green ” Ocean, extending the frontier from biogeochemistry to marine ecology. Applications are described in a subsequent section, which covers Operational Oceanography, Weather, Hurricane Wave and Wind Forecasting, Climate projection. Instruments’ development and satellite missions’ evolutions are described in a fourth section. A ﬁfth section covers the key observations that altimeters provide and their potential complements, from other Earth observation measurements to in situ data. Section 6 identiﬁes the data and methods and provides some accuracy and resolution requirements for the wet tropospheric correction, the orbit and other geodetic requirements, the Mean Sea Surface, Geoid and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system). Section 7 brings a transversal view on scales, integration, artiﬁcial intelligence, and capacity building (education and training). Section 8 reviews the programmatic issues followed by a conclusion. (cid:1) 2021 COSPAR. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/).
The influence of oxygen functional groups on gas-sensing properties of reduced graphene oxide (rGO) at room temperature

Three methods were used to prepare reduced graphene oxide (rGO) with various ratios of oxygen functional groups, such as –OOH, –OH and CO, to study their effects on the NO2 sensing properties at room temperature. It was found that the percentages of oxygen-containing species such as –OH in the rGO nanosheet, significantly affected the sensitivity of rGO to NO2 at room temperature. The –OH species can promote the sensitivity and also the recovery ability with respect to NO2. This may be because –OH has a greater attraction to NO2 and obtains electrons from it, whereas the separation of NO2 from –OH is also slightly easier, enabling a better recovery compared to other oxygen functional groups such as –OOH and CO.
Circuit centric quantum architecture design

Utkarsh Azad, Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology Hyderabad, 500032, Telangana, India. Email: utkarsh.azad@research.iiit. ac.in Abstract With the development in the field of quantum physics, several methods for building a quantum computer have emerged. These differ in qubit technologies, interaction topologies, and noise characteristics. In this article, insights are given into the circuit‐ centric architecture design of Noisy Intermediate‐Scale Quantum (NISQ) devices. The dependence of the circuit size, circuit depth on the interaction and connection between different qubits present in quantum hardware are discussed. A noise‐aware procedure is presented which helps in determining the optimal interactions between different qubits of a quantum chip to execute a given circuit in the most efficient way possible. In this article, the 5‐qubit hardware in a noiseless setting is illustrated with an example. Also, a benchmark‐driven analysis is performed to show the importance of noise adaptivity in determining the hardware reliability. It is concluded that a generalized and flexible procedure such as this approach can aid in determining the design of hardware accurately for which the circuit runs efficiently, that is, with the least number of clock cycles, the lowest gate operations, and noise‐based errors.
The Role of the Human Factor in Marine Accidents

A common interest of all shipping industry stakeholders is safe and accident-free shipping. To reach that goal, one of the most important actions that can be done is to analyze previous marine accidents. It means finding causes of accidents and, based on the analysis results, implementing effective corrective measures that can help reduce such undesired events in the future and improve safety efforts in shipping. Since it is widely accepted that human error accounts for 80–85% of all marine accidents, the research was focused on the human factor analysis in marine accidents. In this paper, 135 marine accident reports recorded in the UK Marine Accident Investigation Branch (MAIB) database from 2010 to 2019 were analyzed. The analysis aimed to categorize causal factors and discover the ones that are the most common. The Human Factor Analysis and Classification System for Maritime Accidents (HFACS-MA) method was used to be able to do so. Furthermore, multiple linear regression was used to determine the relationship between the number of accidents and the most common HFACS-MA causal factors. The research revealed that the causes of marine accidents are primarily dependent on two human factor categories and confirmed that by influencing those human factors categories, the number of marine accidents could be reduced and shipping safety improved in general.
Катастрофический антифосфолипидный синдром при COVID-19

Thrombophilia, as well as multiple organ dysfunction, are typical manifestations of the severe new coronavirus infection that closely resemble the clinical signs of catastrophic antiphospholipid syndrome (CAPS). The objective : to assess whether catastrophic antiphospholipid syndrome is an essential manifestation of severe forms of COVID-19. Subjects and methods. 45 patients diagnosed with the new coronavirus infection (SARS-CoV-2) and a severe course of viral pneumonia (more than 3 points on the NEWS score by the admission, CT 3-4, oxygenation index below 100, the need for at least high-flow oxygen therapy). They were assessed for the development of CAPS due to signs of progressing organ dysfunction despite the ongoing intensive therapy, suspected pulmonary embolism and progressing venous thrombosis of a lower extremity or subclavian vein. It was an essential provision that they should have no signs of bacterial infection (blood procalcitonin should be below 0.5 μg/l). The antiphospholipid syndrome was diagnosed based on the detection of antibodies to β-2-glycoprotein in the blood (A/t β-2-GP1 IgGAM, A/t β-2-GP1 IgM, A/t β-2-GP1 IgG) and to cardiolipin (A/t CL IgM , A/t CL IgG) by ELISA tests. The course of the disease was monitored using other routine clinical (temperature, complete blood and urine counts) tests and blood panel tests reflecting the severity of the systemic inflammatory response (ferritin, CRP, interleukins 6 and 18), and the state of the hemostatic, respiratory, circulatory, liver and kidney systems. Results . Antiphospholipid antibodies (aAPL) moderately exceeding the reference values were detected in 9 out of 45 patients (20%), mainly due to IgA and IgM isotypes to β-2-glycoprotein and IgM isotype to cardiolipin. The assessment of the antibody titer in 5 patients over time (after 7 days) revealed a decrease, but it did not affect the outcome (four of them died). In 36 patients, some traces of aAPL were found that did not reach the lower limit of the norm, despite the uniformity of the clinical signs and similarity of biochemical parameters reflecting the severity of organ disorders. The absence of antibodies did not prevent the development of thrombotic complications (thrombosis of large vessels and pulmonary embolism in 5 patients). There were no other manifestations often associated with CAPS (thrombocytopenia, hemolytic anemia, decreased fibrinogen concentration in the blood). Conclusion. Catastrophic antiphospholipid syndrome is not inevitable in severe COVID-19 cases, however, it can develop as one of the manifestations of thrombophilia that occurs in such patients.
Effect of core-shell nanoparticle geometry on the enhancement of the proton relaxivity value in a nuclear magnetic resonance experiment

This work illustrates the effect of core–shell nanoparticle geometry on the enhancement of the proton relaxivity value in a nuclear magnetic resonance experiment. Chemically synthesized CoFe2O4–MnFe2O4 core–shell nanoparticles were chosen as a candidate material. A two step methodology was used to synthesize the core–shell nanoparticles. In the first step, CoFe2O4 seed nanoparticles were synthesized and in the second step a MnFe2O4 phase was grown over seed CoFe2O4 nanoparticles to form the core–shell geometry. Characterization of the as-synthesized nanoparticles by diffraction methods, electron microscopy and X-ray photoelectron spectroscopy confirmed the formation of uniform core–shell nanoparticles. Magnetic measurement revealed the superparamagnetic nature of the as-synthesized core–shell nanoparticles. The transverse proton relaxivity values obtained by the nuclear magnetic resonance experiment conducted at room temperature using a field of 9.4 T in the presence of single phase CoFe2O4, MnFe2O4 and CoFe2O4–MnFe2O4 core–shell nanoparticles were 60.9 mM−1 s−1, 83.2 mM−1 s−1 and 194.8 mM−1 s−1 respectively. This result clearly illustrated that a greater magnetic inhomogeneity induced in the medium surrounding the core–shell nanoparticles containing two different magnetic phases yields the highest value for the transverse proton relaxivity.
Diabetes Diagnosis Using Machine Learning

Introduction: Diabetes is a disease associated with high levels of glucose in the blood. Diabetes make many kinds of complications, which also leads to a high rate of repeated admission of patients with diabetes. The aim of this study is to diagnose Diabetes with machine learning techniques.Material and Methods: The datasets of the article contain several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age. The main objective of the machine learning models is to classify of the diabetes disease.Results: six classifiers have been also adapted and compared their performance based on accuracy, F1-score, recall, precision and AUC. And Finally, Adaboost has the most accuracy 83%. Conclusion: In this paper a performance comparison of different classifier models for classifying diagnosis is done. The models considered for comparison are logistic regression, Decision Tree, support vector machine (SVM), xgboost, Random forest and ada boost. Finally, in the comparison flow, Adaboost, Logistic Regression, SVM and Random Forest, usually has had a high amount; and their amounts has little differences normally.
Search for Candidate Genes Causing the Excessive Ca Accumulation in Roots of Tipburn-Damaged Lisianthus (Eustoma grandiflorum) Cultivars

Occurrence of tipburn is a severe problem in the production of lisianthus cultivars. Previous studies have shown excessive Ca accumulation in the roots of tipburn-damaged cultivars, where the distribution of Ca to the tips of the top leaves is inhibited. However, few studies have investigated the association between Ca accumulation and gene expression in horticultural crops. To provide a list of candidate target genes that might be causing the excessive Ca accumulation in roots, we focused Ca2+ transporter and pectin methylesterase (PME) genes and RNA-seq of upper leaves and roots in tipburn-occurrence cultivar (“Voyage peach”: VP) and non-occurrence cultivar (“Umi honoka”: UH) was conducted. In both the upper leaves and roots of VP, genes encoding the glutamate receptors (GLRs), cation/Ca2+ exchangers 4 (CCX4), Na+/Ca2+ exchanger-like protein (NCL), and PMEs were upregulated, and a gene encoding the cyclic nucleotide-gated ion channel 9 (CNGC9) was downregulated. In contrast, genes encoding the vacuolar cation/proton exchanger 5 (CAX5), calcium-transporting ATPase 1 and 12 (ACA1 and ACA12) showed differential expression in each organ. Among them, only CAX5 was upregulated and ACA12 was downregulated in the roots of VP. Based on these results, we suggested that CAX5 and ACA12 are the candidate genes causing the excessive Ca accumulation in the roots of tipburn-occurrence lisianthus cultivars. Future studies should investigate the temporal changes in gene expression using quantitative PCR and conduct functional analysis of candidate genes in tipburn-damaged lisianthus cultivars.
Optimised CNN in conjunction with efficient pooling strategy for the multi-classification of breast cancer

Tissue analysis using histopathological images is the most prevailing as well as a challenging task in the treatment of cancer. The clinical assessment of tissues becomes very tough as high variability in the magniﬁcation levels makes the situation worst for any pathologist to deal with the benign and malignant stages of cancer. One of the possible ways to address such a pathetic situation could be an advanced machine learning approach. Hence, a convolutional neural network (CNN) architecture is proposed to create an automated system for magniﬁcation independent multi-classiﬁcation of breast cancer histopathological images. This automated system offers high productivity and consistency in diagnosing the eight different classes of breast cancer from a balanced BreakHis dataset. The system utilises an efﬁcient training methodology to learn the discerning features from images of different magniﬁcation levels. Data augmentation techniques are also employed to overcome the problem of overﬁtting. Additionally, the performance of CNN architecture has been improved in a signiﬁcant manner by adopting an appropriate pooling strategy and optimisation technique. Based on that, we have achieved an accuracy of 80.76%, 76.58%, 79.90%, and 74.21% at the 40X, 100X, 200X, and 400X, respectively. model outperforms the handcrafted approaches with an average accuracy of 80.47% at 40X magniﬁcation level.