Miracle-dz/UniFAR-FTUs huggingface dataset:
Ubiquitous Computing: Driving in the Intelligent Environment

In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, we wish to make the most of the data available from the various sensors, devices and services that compose the ecosystem, in order to propose a proof of concept in-vehicle system that enhances the driving experience. We focus on improving the driving experience along three main directions, namely: (1) driving and trip planning, (2) health and well-being and (3) social and online activities. We approached the in-vehicle space as a smart interface to the intelligent driving environment. The digital data-producers in the ecosystem of the connected car are sources of raw data of various categories, such as data from the outside world, gathered from sensors or online services, data from the car itself and data from the driver gathered with various mobile and wearable devices, by means of observing his state and by means of his social media and online activity. Data is later processed into three information categories—driving, wellness, and social—and used to provide multi-modal interaction, namely visual, audio and gesture. The system is implemented to act in response to the trafficked information on different levels of autonomy, either in a reactive manner, by simple monitoring, or in a proactive manner. The system is designed to provide an in-vehicle system that assists the driver with planning the travel (Drive panel), by providing a comfortable environment for the driver while monitoring him (Wellness panel), and by adaptively managing interactions with their phone and the digital environment (Social panel). Heuristic evaluation of the system is performed, with respect to guidelines formulated for automated vehicles, and a SWOT analysis of the system is also presented in the paper.
Transport certifications of cattle moved from France to Southern Italy and Greece: do they comply with Reg. EC 1/2005?

Abstract Movements of livestock across the Member States is monitored using the Trade Control and Expert System (TRACES), a web-based veterinarian certification tool. This study aimed to evaluate the criticalities of this tracing system and the most frequent non-conformities in their compilation. TRACES of cattle (n = 320) departed from France and arriving or transiting across Puglia (Italy) in 2019 (n = 199) and 2020 (n = 121) were analysed. The distribution arriving in Italy and Greece did not vary between the 2 years. The majority of the bovine (53.4%) were medium-sized cattle transported for fattening with a median body weight of 410 kg. However, almost half of the TRACES did not report correctly the total expected loaded weight or the available space, so for them, it was impossible to calculate and double-check whether the minimal space allowance was respected. Long journeys must include a resting stop after the first 14 h, however, 20.9% of the examined and declared stops did not comply with it. Finally, comparing the expected declared journey duration with a calculated one (dividing travel distance by an average speed of 70 km/h, adding 1 h for loading and unloading, and 1 h or 24 h for resting stops), we found that only 30.6% of the journey durations were congruent. The irregularities resulted associated with consignors and transporters (p < .05). Overall, the proportion of mistakes and non-compliance suggest that there is a need to improve the current practice to enhance animal welfare during transportation. HIGHLIGHTS TRACES (n = 320) of cattle transported from France in 2019 and 2022 were analysed. Almost half of the TRACES were not filled correctly. TRACES should be implemented and double-checked carefully to ensure animal welfare.
Plagiarism through Paraphrasing Tools - The Story of One Plagiarized Text

This paper describes a unique case study wherein real plagiarism revealed in a scientific journal is compared with the original article. The plagiarized text contains many typical errors, such as inconsistent terminology, unclear meanings of sentence, missing tables and figures, and an incorrect literature list. The occurrence of similar errors in other manuscripts may serve as a warning against plagiarism. During the analysis of the plagiarized text, it was assumed that a paraphrasing tool was used for preparing this plagiarized text. To confirm this assumption, the chosen paraphrasing tool was used to create a paraphrased version of the article and this version was compared with the plagiarized text. The paraphrased version had far fewer changes from the plagiarized text than the plagiarized text had from the original article. Thus, it was confirmed that the plagiarized text was created using a paraphrasing tool. Information contained in this article can be used for detecting this type of plagiarism.
Ontological Approach to Automated Analysis of Enterprise Data Storage Systems Log Files

: Enterprise data storage is usually designed to operate as a highly available system, which needs continuous monitoring and diagnosing of a system state. However, applying the traditional approach to administration tasks with manual analysis of event log files is infeasible due to the complexity of such systems. Multiple levels of monitoring and the heterogeneous nature of diagnostic data require an autonomous solution that provides a combination of model-based, knowledge-based and data-based approaches. An ontology-based diagnostic model, that integrates an expert knowledge of diagnostic parameters, typical storage configurations, and common failure modes, can be considered a promising solution for this task. The implementation goal for such an autonomous diagnostic approach would be not to substitute, but to complement existing diagnostic infrastructure. Hence, software and system event log files can be viewed as additional diagnostic data to be analyzed. This paper presents a new approach to event log analysis, which is supported by the ontology-based diagnostic model: structure of supporting ontology classes, text preparation algorithm, key implementation points, and assessments of the data mining algorithm suitability for the task.
Inhibitors of the Plasmodium falciparum Hsp90 towards Selective Antimalarial Drug Design: The Past, Present and Future

Malaria is still one of the major killer parasitic diseases in tropical settings, posing a public health threat. The development of antimalarial drug resistance is reversing the gains made in attempts to control the disease. The parasite leads a complex life cycle that has adapted to outwit almost all known antimalarial drugs to date, including the first line of treatment, artesunate. There is a high unmet need to develop new strategies and identify novel therapeutics to reverse antimalarial drug resistance development. Among the strategies, here we focus and discuss the merits of the development of antimalarials targeting the Heat shock protein 90 (Hsp90) due to the central role it plays in protein quality control.
Combined Evaluation of MAP1LC3B and SQSTM1 for Biological and Clinical Significance in Ductal Carcinoma of Breast Cancer

Breast cancer is the leading cause of cancer death in women worldwide. The microtubule-associated protein light chain 3B (MAP1LC3B) and adaptor sequestosome 1 (SQSTM1) are two major markers for autophagy. Increased protein levels of MAP1LC3B and SQSTM1 are considered to be causes of autophagy inhibition or activation in various types of cancers. However, the roles of MAP1LC3B and SQSTM1 in breast cancer are still not clear. Using a tissue microarray from 274 breast invasive ductal carcinoma (IDC) patients, we found that tumor tissues showed higher protein levels of MAP1LC3B and cytoplasmic SQSTM1 in comparison to those in adjacent normal tissues. Moreover, high levels of MAP1LC3B were associated with better survival, including disease-specific survival and disease-free survival (DFS) in IDC patients. Furthermore, high co-expression of MAP1LC3B and SQSTM1 was significantly associated with better DFS in IDC patients. Astonishingly, the autophagy inhibitor accumulated the protein levels of MAP1LC3B/SQSTM1 and enhanced the cytotoxic effects of cisplatin and paclitaxel in MCF7 and BT474 breast cancer cell lines, implying that autophagy inhibition might result in poor prognosis and chemosensitivity in IDC. Taken together, high co-expression of MAP1LC3B and SQSTM1 might serve as a potential diagnostic and prognostic biomarker for IDC patients.
COVID-19 and Health Sector Development Plans in Africa: The Impact on Maternal and Child Health Outcomes in Uganda

Introduction Health Sector Development Plans (HSDPs) aim to accelerate movement towards achieving sustainable development goals for health, reducing inequalities, and ending poverty. Reproductive, maternal, newborn and child health (RMNCH) services are vulnerable to economic imbalances, including health insecurity, unmet need for healthcare, and low health expenditure. The same vulnerability influences the potential of a country to combat global outbreaks such as the COVID-19. We aimed to provide some important insights into the impacts of COVID-19 on RMNCH indicators and outcomes of the HSDP in Uganda. Methods We conducted a descriptive study of secondary data obtained from the Ugandan government-led portals, supplemented by analyses of relevant articles published up to 06 May 2021 and deposited in PubMed. Results Through synthesizing actionable and relevant evidence, we realized that RMNCH in Uganda is highly affected by the COVID-19 pandemic and the lockdown measures. The impact was across immunization, antenatal, sexual and reproductive health, emergency and obstetric, and postnatal care services. There was a decline sharply by 9.6% for under-five vitamin A coverage, 9% for DPT3HibHeb3 coverage, 6.8% for measles vaccination coverage, 6% for isoniazid preventive therapy coverage, and 3% for facility-based deliveries. Maternal and under-five deaths increased by 7.6% and 4%, respectively. Outreaches were rarely conducted in the lockdown period. Conclusion The COVID-19 pandemic has created a multitude of questions regarding the optimal policies to mitigate the disease while minimizing the unintended detrimental consequences of RMNCH. The lockdown restrictions threatened to reverse the progress made on the national HSDP for RMNCH. In Uganda, where young women are vulnerable to early marriage, unintended pregnancies, and unsafe abortion, access to RMNCH services should continue regardless of the COVID-19 status in the country. We urge that Uganda and other African countries should build resilient and sustainable health systems that can withstand emerging diseases like the COVID-19.
Manufacturing and Characterization of Three-Axis Magnetic Sensors Using the Standard 180 nm CMOS Technology

A three-axis micro magnetic sensor (MS) is developed based on the standard 180 nm complementary metal oxide semiconductor (CMOS) technology. The MS designs two magnetic sensing elements (MSEs), which consists of an x/y-MSE and an z-MSE, to reduce cross-sensitivity. The x/y-MSE is constructed by an x-MSE and an y-MSE that are respectively employed to detect in the x- and y-direction magnetic field (MF). The z-MSE is used to sense in the z-direction MF. The x/y-MSE, which is constructed by two magnetotransistors, designs four additional collectors that are employed to increase the sensing current and to enhance the sensitivity of the MS. The Sentaurus TCAD software simulates the characteristic of the MS. The measured results reveal that the MS sensitivity is 534 mV/T in the x-direction MF, 525 mV/T in the y-direction MF and 119 mV/T in the z-axis MF.
Detecting and Rectifying Vehicle Malicious Misbehavior for Intersection Movement Assist: A Sensor-Based Misbehavior Detection Study

Recent developments in wireless communication technologies have led to the evolution of connectivity between vehicles. Maintaining connectivity between vehicles increases a vehicle’s awareness of other nearby vehicles, which can be used in safety applications. Identification of malicious misbehaving vehicles plays an important role in road safety. This research establishes the minimum detectable error (MDE) boundary for relative position between the observer and status vehicles (SV) using vehicle sensor and GPS error profile from field tests and established minimum standards. The results demonstrated that the MDE increases in the lateral direction (side-to-side) with the increase in relative distance between the observer and status vehicles (OV and SV) while remaining the same in the longitudinal direction (front-to-back). This research effort explores the use of Sensor-Based Misbehavior Detection (SBMD) with current specifications and the defined MDE boundary for implementation in the Intersection Movement Assist (IMA) safety application to rectify false positive and false negative hazard messages propagated by a malicious misbehaving vehicle. The simulation approach used in this research quantifies the total number of false positive/negative hazard detections received by a third-party vehicle (TPV) using the IMA safety application and assesses the capability of the OV equipped with SBMD to rectify the false positive/negative hazard detection. In cases where there was no hazard, SBMD produced an 83% to 90% improvement in the reduction of false positive hazard detections. In the cases with hazard scenario, where the SV is in the not-safe-to-cross zone, SBMD produced an 80% to 99% improvement in application performance.
The calculation for quantized valence subband structure of zinc-blende GaN heterojunction quantum well based on k·p method

A quantized valence subband model is proposed to study the energy dispersion of zinc-blende GaN P-channel heterojunction quantum well under arbitrary stress. Anisotropic band structures of bulk GaN and GaN in quantum well under field confinement effect are computed using a six-band stress-dependent k·p Hamiltonian and self-consistently Poisson–Schrödinger equation. A comprehensive study of microscopic relationship between stress and hole effective mass in GaN quantum well has been performed according to the stress effects on quantized valence subband. Simulation results show that uniaxial compression can be considered as the most effective stress in the hole effective mass reduction of zinc-blende GaN heterojunction.
Genetic Polymorphisms in Pharmaceuticals and Chemotherapy

The study of genetic polymorphisms has significantly advanced the field of personalized medicine. Polymorphism of genes influence the efficacy of drugs used for treating medical conditions such as depression, cardiac diseases, thromboembolic disorders, oncological diseases, etc. The study of genetic polymorphism is beneficial for drug safety as well as for assessing therapeutic outcomes. Understanding and detecting genetic polymorphisms early on in patients can be useful in selecting the correct chemotherapeutic agent and appropriate dosage for a patient. Knowing the genetic profile of a patient and the interindividual response to various drugs significantly influences the proper selection of medication - a key step towards personalized medicine. Polymorphisms also make patients susceptible to certain cancers and identification of these polymorphisms early can be useful for a personalized treatment plan. The Genome-Wide Association Studies (GWAS) project where millions of genetic variants in the genomes of many individuals are studied to identify connections between what is present on the gene and the phenotype of the patient has enhanced the prospect of personalized medicine. GWAS has been used to identify hundreds of diseases associated to genetic polymorphisms. Individual pharmacokinetic profiles of patients to drugs enable the development of early surveillance protocols to prophylactically prevent patients from having adverse reactions. Furthermore, patient-derived cellular organoids are another advancement that allows researchers to screen for polymorphisms of the patient for adverse reactions from chemotherapy and will allow for the development of new medications that are specific to the profile of the patient’s tumor. These advances have led to significant progress towards personalized medicine. The functional consequences of genetic polymorphism on cancer drugs and treatment are studied here.
COVID-19 and antiphospholipid antibodies

新型コロナウイルス感染症(COVID-19)は新型コ ロナウイルス(SARS-CoV-2)による世界的な感染症 であり,肺炎に加え心臓病や呼吸窮迫症候群(acute respiratory distress syndrome: ARDS),血栓塞栓症を引 き起こすことが知られている. 静脈血栓塞栓症は入 院患者の 8.0%~35.0%に,また脳卒中などの動脈血 栓症も 1.9~21%に認められる . さらに剖検例では 58%に多発性微小血栓が認められるとされ , COVID-19は極めて強い血栓リスクである. その血 栓形成機序は明確にされていないが,SARS-CoV-2 感染による補体活性化と過剰炎症 ,およびそれに 伴うサイトカインストームやNeutrophil extracellular traps(NETs)による凝固亢進,血小板活性化が報告 されている 4, . 抗リン脂質抗体(aPL)産生もその 背景として挙げられる.
Expected Recurrence of Extreme Winds in Northwestern Sahara and Associated Uncertainties

Estimating the probability of the occurrence of hazardous winds is crucial for their impact in human activities; however, this is inherently affected by the shortage of observations. This becomes critical in poorly sampled regions, such as the northwestern Sahara, where this work is focused. The selection of any single methodological variant contributes with additional uncertainty. To gain robustness in the estimates, we expand the uncertainty space by applying a large body of methodologies. The methodological uncertainty is constrained afterward by keeping only the reliable experiments. In doing so, we considerably narrow the uncertainty associated with the wind return levels. The analysis suggest that not necessarily all methodologies are equally robust. The highest 10-min speed (wind gust) for a return period of 50 years is about 45 ms−1 (56 ms−1). The intensity of the expected extreme winds is closely related to orography. The study is based on wind and wind gust observations that were collected and quality controlled for the specific purposes herein. We also make use of a 12-year high-resolution regional simulation to provide simulation-based wind return level maps that endorse the observation-based results. Such an exhaustive methodological sensitivity analysis with a long high-resolution simulation over this region was lacking in the literature.
Features of Sepsis With Worse Outcomes in the ICU Admissions: a Cohort Study From Quick Diagnostic Tests

Background: Sepsis is still a global public health priority. We aimed to investigate the features of sepsis with worse outcomes in a single ICU of China.Methods: We enrolled patients with acute critically ill with sepsis from ICU in China (Jan 1, 2018 to Nov 30, 2019). All patients underwent quick diagnostic tests before and after on admission. We collected data on the features of sepsis cases from hospital medical records and follow-up information. Outcomes were compared between patients who were survivors and those who were not.Results: Of 520 ICU admissions, 214 (41.2%) critically ill adults with sepsis were analyzed. The median age was 66 years (range 18-91 years) and 140 (65.4%) patients were males. 144 (78.3%) community-acquired pneumonia in 184 pneumonia cases were identified by quick chest CT and need mechanically ventilation in ICU. The rate of community- acquired sepsis was 73.8% (158/214) and was associated with a high risk of dynamic profile of inflammatory mediators for nonsurvivors. The initial common symptoms 0f sepsis were fever (42.5%), altered mental status/delirium (41.1%), acute coma (34.1%), and cough/dyspnea (29.9%). Based on data with significant univariate at initial 24 hours in ICU, the multivariate logistic analysis revealed a higher SIRS score (OR,4.7; 95% CI, 2.004-14.37), a higher SOFA score which mainly showed higher prevalent lungs and brain failure (OR, 1.7; 95% CI, 1.299- 2.298), and a lower GCS score (OR, 0.8; 95% CI, 0.673- 0.987) were established as early risk factors for sepsis in nonsurvivors. The mortality of sepsis was 55.6% at 28 days.Conclusions and relevance: Sepsis cases are mainly from community-acquired pneumonia. Severe SIRS and lungs/brain failure are related to the high mortality of sepsis.
Review on Active and Passive Remote Sensing Techniques for Road Extraction

Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyperspectral images, synthetic aperture radar images, and light detection and ranging. This review is divided into three parts. Part 1 provides an overview of the existing data acquisition techniques for road extraction, including data acquisition methods, typical sensors, application status, and prospects. Part 2 underlines the main road extraction methods based on four data sources. In this section, road extraction methods based on different data sources are described and analysed in detail. Part 3 presents the combined application of multisource data for road extraction. Evidently, different data acquisition techniques have unique advantages, and the combination of multiple sources can improve the accuracy of road extraction. The main aim of this review is to provide a comprehensive reference for research on existing road extraction technologies.
PHIDA: A High Throughput Turbidimetric Data Analytic Tool to Compare Host Range Profiles of Bacteriophages Isolated Using Different Enrichment Methods

Bacteriophages are viruses that infect bacteria and are present in niches where bacteria thrive. In recent years, the suggested application areas of lytic bacteriophage have been expanded to include therapy, biocontrol, detection, sanitation, and remediation. However, phage application is constrained by the phage’s host range—the range of bacterial hosts sensitive to the phage and the degree of infection. Even though phage isolation and enrichment techniques are straightforward protocols, the correlation between the enrichment technique and host range profile has not been evaluated. Agar-based methods such as spotting assay and efficiency of plaquing (EOP) are the most used methods to determine the phage host range. These methods, aside from being labor intensive, can lead to subjective and incomplete results as they rely on qualitative observations of the lysis/plaques, do not reflect the lytic activity in liquid culture, and can overestimate the host range. In this study, phages against three bacterial genera were isolated using three different enrichment methods. Host range profiles of the isolated phages were quantitatively determined using a high throughput turbidimetric protocol and the data were analyzed with an accessible analytic tool “PHIDA”. Using this tool, the host ranges of 9 Listeria, 14 Salmonella, and 20 Pseudomonas phages isolated with different enrichment methods were quantitatively compared. A high variability in the host range index (HRi) ranging from 0.86–0.63, 0.07–0.24, and 0.00–0.67 for Listeria, Salmonella, and Pseudomonas phages, respectively, was observed. Overall, no direct correlation was found between the phage host range breadth and the enrichment method in any of the three target bacterial genera. The high throughput method and analytics tool developed in this study can be easily adapted to any phage study and can provide a consensus for phage host range determination.