Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Paralytic Shellfish Toxins in Marine Oyster Farming and Microalgae in the Atlantic Amazon Evidences Safety but Highlights Potential Risks of Shellfish Poisoning

Marine phycotoxins are organic compounds synthesized by some species of microalgae, which accumulate in the tissues of filter-feeder organisms such as bivalve mollusks. These toxins can cause acute intoxication episodes in humans, a severe threat to aquaculture and fisheries. In the State of Pará, Brazil, oyster farming has community, artisanal and sustainable bases, using mangroves as cultivation environment and seed banks. In small-scale production, there are often no established methods of safeguarding the health of consumers elevating the potential risks of shellfish poisoning outbreaks. Our study evaluated the presence of phycotoxins in oysters cultivated in five municipalities in the region of the Atlantic Amazon (Pará, Brazil) assessing the quality of the final product. We further evaluated the microalgae, water quality, and the spatio-temporal variation of physicochemical factors in the same area. Diatoms dominated the microalgae composition, followed by dinoflagellates, some of which are reported to be potentially toxic and producers of paralytic shellfish toxins. For the first time, we describe the occurrence of the potentially toxic dinoflagellate Ostreopsis sp. in the Amazon region. Furthermore, for the first time, toxins were detected in oyster farming in the northeast of the State of Pará, namely GTX2,3, STX, and dc-STX nevertheless, with nontoxic values. The identified toxins represent a potential threat to shellfish consumers.
WEIGHTED INVERSE WEIBULL AND BETA-INVERSE WEIBULL DISTRIBUTION

The weighted inverse Weibull distribution and the beta-inverse Weibull distribution are considered. Theoretical properties of the inverse Weibull model, weighted inverse Weibull distribution including the hazard function, reverse hazard function, moments, moment generating function, coecient of variation, coecient of skewness, coecient of kurtosis, Fisher information and Shanon entropy are studied. The estimation for the parameters of the length-biased inverse Weibull distribution via maximum likelihood estimation and method of moment estimation techniques are presented, as well as a test for the detection of length-biasedness in the inverse Weibull model. Furthermore, the beta-inverse Weibull distribution which is a weighted distribution is presented, including the cumulative distribution function (cdf), probability density function (pdf), density plots, moments, and the moment generating function. Also, some useful transformations that lead to the generation of observations from the beta-inverse Weibull distribution are derived.
Solid-State Physics: An Introduction to Principles of Materials Science

This introduction to solid-state physics emphasizes both experimental and theoretical aspects of materials science. Three important areas of modern research are treated in particular detail: magnetism, superconductivity and semiconductor physics. Experimental aspects with examples taken from research areas or current interest are presented in the form of separate panels. This format should help to relate the theoretical concepts described in the text to important practical applications. Students should benefit from working through the problems related to each chapter.
Constraining MOND using the vertical motion of stars in the solar neighbourhood

Stars with a different vertical motion relative to the galactic disk have a different average acceleration. According to Modified Newtonian Dynamics (MOND) theories they should therefore have a different average orbital velocity while revolving around the Milky Way. We show that this property can be used to constrain MOND theories by studying stars in the local neighborhood. With the {\sc Hipparcos} dataset we can only place marginal constraints. However, the forthcoming {\sc GAIA} catalogue with its significantly fainter cutoff should allow placing a stringent constraint.
P2X7 receptor as the regulator of T-cell function in intestinal barrier disruption

The intestinal mucosa is a highly compartmentalized structure that forms a direct barrier between the host intestine and the environment, and its dysfunction could result in a serious disease. As T cells, which are important components of the mucosal immune system, interact with gut microbiota and maintain intestinal homeostasis, they may be involved in the process of intestinal barrier dysfunction. P2X7 receptor (P2X7R), a member of the P2X receptors family, mediates the effects of extracellular adenosine triphosphate and is expressed by most innate or adaptive immune cells, including T cells. Current evidence has demonstrated that P2X7R is involved in inflammation and mediates the survival and differentiation of T lymphocytes, indicating its potential role in the regulation of T cell function. In this review, we summarize the available research about the regulatory role and mechanism of P2X7R on the intestinal mucosa-derived T cells in the setting of intestinal barrier dysfunction.
Visceral Leishmaniasis and Land Use and Cover in the Carajás Integration Region, Eastern Amazon, Brazil

Human visceral leishmaniasis is a major public health problem in the Amazon. Thus, we analyzed the spatial distribution of this disease and its relationship with epidemiological, socioeconomic, and environmental variables in the Carajás Integration Region, Pará state, from 2011 to 2020. Epidemiological data for this ecological study were obtained from the State Public Health Secretariat, environmental data were obtained from the National Space Research Institute, and socioeconomic data were obtained from the Brazilian Geography and Statistics Institute. ArcGIS 10.5. 1 software was used for classifying land use and cover and for the Kernel and Moran spatial analyses. It was observed in 685 confirmed cases that the epidemiological profile followed the national pattern of the disease occurrence, with a high prevalence in children who were not school-aged. The disease had a non-homogeneous distribution with clusters related to different human activities, such as urbanization, ranching, and mining. A spatial dependence between the disease prevalence and socioeconomic indicators was observed. The municipalities presented gradients of case densities associated with a direct relationship between areas with cases and deforestation. The disease is developing due to risk factors such as establishment and maintenance related to the non-sustainable development model implemented in the region, pointing to the need for its revision.
Data-Driven Intelligent Model for the Classification, Identification, and Determination of Data Clusters and Defect Location in a Welded Joint

In this paper, a data-driven approach that is based on the k-mean clustering and local outlier factor (LOF) algorithm has been proposed and deployed for the management of non-destructive evaluation (NDE) in a welded joint. The k-mean clustering and LOF model algorithm, which was implemented for the classification, identification, and determination of data clusters and defect location in the welded joint datasets, were trained and validated such that three (3) different clusters and noise points were obtained. The noise points, which are regarded as the welded joint defects/flaws, allow for the determination of the cluster size, heterogeneity, and silhouette score of the welded joint data. Similarly, the LOF model algorithm was implemented for the detection, visualization, and management of flaws due to internal cracks, porosity, fusion, and penetration in the welded joint. It is believed that the management of welded joint flaws would aid the actualization of the Industry 4.0 concept in the development of lightweight products for manufacturing.
Predictive models in digital manufacturing: research, applications, and future outlook

ABSTRACT Data has become a high-value commodity in manufacturing. There is a growing realisation that the data-driven applications could become strong differentiators of manufacturing enterprises. To guide the developments in digitisation, a widely accepted framework is needed. In the absence of the universal framework, the components making a digital enterprise are captured in an example framework that is introduced in the paper. The adoption of new technology and software solutions has increased complexity of manufacturing systems. In addition, new product introductions have become more frequent and the demand more variable. A digital space enables optimisation and simulation of decisions before their realisation in the physical space. Predictive modelling with its time dimension is a valuable actor in the digital space. Three challenges of predictive modelling such as model complexity, model interpretability, and model reuse are identified in this paper. The coverage of each challenge in the literature is illustrated with the recently published papers. The main aspects of these challenges and the synthesis of the developments in digital manufacturing are articulated in the form of eight observations that could guide the future research.
DUAL LENS FOCUSING SYSTEM WITH IN-LENS POLARIZER FOR AUTOMOTIVE RADAR SENSORS

|This article presents a circularly polarized (CP) dual lens (DL) antenna with high gain and wide axial ratio (AR) bandwidth for automotive radar applications. Proposed antenna system provides low AR and scan loss over a wide angular range. It consists of a linearly polarized (LP), wide band, aperture coupled planar feed antenna, an extended hemispherical lens and a planoconvex lens with thin parallel plates and air slabs. In-lens polarizer mounted to the (cid:13)at surface of the planoconvex lens converts LP wave to CP state. Fundamental design rules to obtain CP is de(cid:12)ned. A CP DL design in low dielectric permittivity material ( " r = 3) is introduced. It achieves simulated eﬃciency that varies between 75 and 82% within the 77{81 GHz automotive radar band. AR is below 2.2 dB for all scan angles up to 25 ◦ . Realized gain at boresight radiation is 25.6 dBic at the center frequency. 0.85 dB scan loss is observed at (cid:6) 30 ◦ scan angle. A frequency-scaled prototype has been fabricated by additive manufacturing process with fused deposition modeling, and the concept is proved by the experimental results in 22{28 GHz band.
Oral Care for Children with Special Healthcare Needs in Dentistry: A Literature Review

Oral health is a very important aspect of general health, especially for vulnerable groups such as children with special healthcare needs. It is important to provide appropriate oral care in order to promote quality of life and good health for everyone, especially for children with special healthcare needs. Method: We reviewed the recent literature to collect knowledge regarding the delivery of quality oral care to children with special healthcare needs. We also explored some of the treatment management options that could address the needs of these children when attending dental clinics. Result: Unfortunately, we noted significant inequalities with issues related to oral health among those children. This situation often results in limitations to the activities of daily living for these children. There is therefore a need for much-needed advancements and refinements in oral healthcare to address the needs of children who have special healthcare needs. Conclusions: Providing children with special healthcare needs with high-quality dental care may necessitate active liaisons with healthcare facilitators and will require work across professions to make certain that these children’s oral health is also prioritized. Coordinated efforts by dental professionals are needed to provide dental health education and preventive interventions for these children.
An Energy-Efficient Ge-Based Leaky Integrate and Fire Neuron: Proposal and Analysis

In this paper, we propose an energy-efficient Ge-based Leaky Integrate and Fire (LIF) neuron and analyze it using a well calibrated 2D simulation model. The proposed neuron can directly receive the incoming voltage spikes and avoid the energy dissipation in generating a summed potential. The incoming voltage spikes lead to accumulation of holes in the channel, leading to lowering of the potential barrier and an increase in current. A firing and subsequent reset circuitry are triggered when the current reaches a predefined threshold. The smaller bandgap with dominant direct tunneling of Ge allows the device to operate at a lower voltage level. The energy consumption per spike in the proposed implementation is 0.07 fJ, which is lower than LIF neuron implementations (experimental or simulated) reported in the literature. Power consumed by the reset circuitry can also be reduced due to a lower drain voltage required in the proposed device.
Measurements of the lunar induced magnetic moment in the geomagnetic tail - Evidence for a lunar core

Apollo 15 and 16 subsatellite fluxgate magnetometer data have been analyzed for all intervals in which the moon was in the lobes of the geomagnetic tail to obtain an improved estimate of the average magnitude of the induced dipole moment of the moon. The resulting set of estimates yields an induced magnetic moment of -4.23 x 10 to the 22nd Gauss-cu cm per Gauss of applied field, corresponding to a G-factor of -0.008 + or - 0.001. These measurements do not place strong constraints on the conductivity of the lunar core. The observed effects would be detected as long as the core conductivity was greater than about 10 mho/m. If the outer cool layers of the moon that are at temperatures below the effective Curie point contain little or no free iron, then these measurements are consistent with the presence of a conducting core whose radius is slightly larger than 400 km. If these outer layers of the moon contain significant amounts of free iron and hence exhibit the paramagnetism expected in such a situation the core size could be even greater.
Face Recognition Model Design Based on Convolutional Neural Networks

With the rapid development of computer science and Internet technology, face recognition technology is widely used in such as public security, judicial and criminal investigation, public security, information security and access control system, such as public security system need to find out the criminals in the system library, or from the entrance control system quickly identify and match the identity of relevant personnel information. As a stable, intuitive and highly recognizable biometric feature, human face is being paid more and more attention by researchers. Compared with other bioinformation recognition methods, face recognition is characterized by direct, friendliness and convenience. Users are not easy to resist, and compared with other recognition technologies, they are easy to be accepted by users, so it has received attention and research. This paper designs a face recognition system based on a convolutional neural network. Compared with the traditional face recognition method, the convolutional neural network model does not need manual complex and time-consuming feature extraction algorithm design, only need to design an effective neural network model, and then end-to-end training on a large number of training samples for simple and efficient training, can get a good identification effect. The design uses the target detection algorithm to conduct accurate, real-time, efficient face recognition, and can accurately identify the people in the camera.
Analyzing the Contribution of ERP Systems to Improving the Performance of Organizations

This study examines how Enterprise Resource Planning (ERP) systems affect the performance of organizations. First, by analyzing the impact of these systems on the five determining forces of the competitive structure and the entire value chain. Then, by an empirical study to identify their contributions within three large companies located in the northern region of Africa. A series of interviews and meetings with the managers that have a very remarkable and credible experience in the field (the directors of information systems, finance directors, sales directors, and human resources directors). The results of this research indicate that the implementation of ERP systems has positive effects on performance. In particular, cost reduction, task automation, customer satisfaction and improvement of decision making.
A Retrospective Analysis on the Effects and Complications of Endoscope-Assisted Transoral Approach and Lateral Cervical Approach in the Resection of Parapharyngeal Space Tumors

Objective To observe and compare the effects and complications of endoscope-assisted transoral approach and lateral cervical approach in the resection of parapharyngeal space (PSS) tumors. Methods From January 2013 to September 2021, 69 patients with parapharyngeal space tumors in the Affiliated Hospital of Jiangnan University were divided into the control group (n = 37) and the observation group (n = 32) according to the mode of operation. The tumors in the parapharyngeal space were resected by the lateral cervical approach in the control group, and the tumors in the parapharyngeal space were removed by endoscopy-assisted transoral approach in the observation group. The general clinical data and operation conditions of the two groups, including operative blood loss, operation time, drainage volume and drainage time, hospital stay, perioperative pain degree, and tumor resection rate were collected and analyzed statistically. The patients were followed up for 6 months, and the complications of the two groups were recorded. Results Compared with the control group, the operation time in the observation group was significantly shorter, and the amount of intraoperative bleeding in the observation group was significantly less than that in the control group, and the difference was statistically significant (P < 0.05). The postoperative drainage was less and the hospital stay in the observation group was shorter than that in the control group, and the difference was statistically significant (P < 0.05). There was no significant difference in tumor resection rate between the two groups. The visual analog scale (VAS) score on the 1st and 3rd day after operation in the observation group was lower than that in the control group. After treatment, some patients in the two groups had complications such as nerve injury, dysphagia, difficulty in mouth opening, massive hemorrhage, and parotid fistula. The total incidence of complications in the observation group was lower than that in the control group, and the difference was statistically significant (P < 0.05). Conclusions The effect of the endoscope-assisted transoral approach is similar to that of the lateral cervical approach in the resection of tumors in parapharyngeal space, but the endoscope-assisted transoral approach has shorter operation time, less intraoperative bleeding, and less postoperative drainage. The indwelling time and hospital stay of the drainage device were shorter than those of the patients with transcervical approach, and the perioperative stress response of patients with endoscope-assisted transoral approach is mild, which is beneficial to the physical and mental recovery of the patients.
Design of Compact Tri-Band Bandpass Filter using λ/4 and Stub-Loaded Resonators

This paper presents a novel approach for designing triband bandpass filters with independently controlled center frequencies and bandwidths. λ/4 and short stub loaded resonators are employed to obtain tri-band responses. λ/4 resonators are designed to operate at the third passband, and stub-loaded resonators are designed to operate at the first and second passbands. The bandwidth of each passband can be tuned independently by adjusting the coupling gaps or lengths. A tri-band filter was designed and simulated to verify the presented concept, the filter achieved insertion losses of 1.4, 1.8 and 1.8 dB at 2.4, 3.5, 5.5 GHz, respectively.
Patient Preferences for Attributes of Biologic Treatments in Moderate to Severe Asthma: A Discrete Choice Experiment Study

Purpose Multiple biologics are available for moderate to severe asthma. Given the important relationship between patient engagement in healthcare decision-making and health outcomes, patient preference is an increasingly important consideration. This study elicited patients’ preferences for attributes of biologic therapies for moderate to severe asthma. Patient and Methods A discrete choice experiment (DCE) questionnaire was designed to collect data from an existing survey panel of adults with moderate to severe asthma in the United States. Patients were asked to select their preferred hypothetical treatment from profiles with varying attributes related to efficacy, safety, and administration convenience. Conditional logit regression models were used to quantify patient preferences. Results Of 301 eligible patients who completed the survey, the mean age was 46.7±15.1 years and 71.8% were female. Patients had asthma for 22.5±16.3 years on average, and most (97.3%) had experienced ≥1 asthma attack in the past 12 months. Among treatment attributes examined, patients most valued the absence of a black box warning for the risk of a life-threatening allergic reaction, effectiveness of reducing severe asthma exacerbations, and improvement in lung function (all p < 0.001). Home administration setting for subcutaneous injections (vs doctor’s office/clinic) (p = 0.009) and ability of a biologic to treat additional chronic condition(s) (p < 0.05) were also considered important. Dosing frequency and type of injection device were not significant factors. Conclusion Patients with moderate to severe asthma valued efficacy and safety over convenience attributes when selecting biologic treatments. Awareness of these preferences can facilitate patient-physician shared decision-making when managing moderate to severe asthma in clinical practice.
High frequencies of adaptive NK cells are associated with absence of coronary plaque in cytomegalovirus infected people living with HIV

The objective of this study was to evaluate whether adaptive NKG2C+CD57+ natural killer (adapNK) cell frequencies are associated with pre-clinical coronary atherosclerosis in participants of the Canadian HIV and Aging Cohort Study. This cross-sectional study included 194 Canadian HIV and Aging Cohort Study participants aged ≥ 40 years of which 128 were cytomegalovirus (CMV)+ people living with HIV (PLWH), 8 were CMV−PLWH, 37 were CMV mono-infected individuals, and 21 were neither human immunodeficiency virus nor CMV infected. Participants were evaluated for the frequency of their adapNK cells and total plaque volume (TPV). TPV was assessed using cardiac computed tomography. Participants were classified as free of, or having, coronary atherosclerosis if their TPV was “0” and ">0,” respectively. The frequency of adapNK cells was categorized as low, intermediate or high if they constituted <4.6%, between ≥4.6% and 20% and >20%, respectively, of the total frequency of CD3−CD56dim NK cells. The association between adapNK cell frequency and TPV was assessed using an adjusted Poisson regression analysis. A greater proportion of CMV+PLWH with TPV = 0 had high adapNK cell frequencies than those with TPV > 0 (61.90% vs 39.53%, P = .03) with a similar non-significant trend for CMV mono-infected participants (46.15% vs 34.78%). The frequency of adapNK cells was negatively correlated with TPV. A high frequency of adapNK cells was associated with a relative risk of 0.75 (95% confidence intervals 0.58, 0.97, P = .03) for presence of coronary atherosclerosis. This observation suggests that adapNK cells play a protective role in the development of coronary atherosclerotic plaques.