Miracle-dz/UniFAR-FTUs huggingface dataset:
AOMC: An Adaptive Point Cloud Clustering Approach for Feature Extraction

Point cloud local feature extraction places an important part of point cloud deep learning neural networks. Accurate extraction of point cloud features is still a challenge for deep learning networks. Oversampling and feature loss of point cloud model are important problems in the accuracy of image point cloud deep learning network. In this paper, we propose an adaptive clustering method for point cloud feature extraction—adaptive optimal means clustering (AOMC)—and apply it to point cloud deep learning network tasks. This method solves the problem of determining the number of clustering centers in the process of point cloud feature extraction so that the feature points contain the whole point cloud model and avoid the problem of losing detail features. Specifically, according to the loss characteristics of point cloud clustering, AOMC selects a different number of clustering centers for various models. Moreover, in light of the density distribution of the point cloud, the radius of the clustering subset is determined. This method effectively improves the accuracy of the point cloud deep learning network on object classification and parts segmentation. Our method reaches demand on Modelnet10 and shapenetcore_partanno_segmentation_benchmark datasets. In terms of deep learning network optimization, it has good performance. Additionally, our method has high accuracy and low algorithm complexity.
Hybrid distribution transformer based on a bipolar direct AC/AC converter

Dynamic states in the power grid - deep voltage sags and swells, voltage fluctuation - can cause faults and defects in sensitive loads and in consequence financial losses. This study presents a voltage conditioner based on a direct PWM AC/AC converter with matrix chopper cooperating with a distribution transformer, called a hybrid distribution transformer (HDT). In comparison with other solutions of hybrid and smart distribution transformers, the proposed HDT is characterised by having a simple construction and small number of power electronic switches, a wide range and continuously variable voltage control character, and good dynamic properties, in combination with a high reliability. The study contains a detailed operational description and the experimental test results of a 1 kVA rated power laboratory model. The experimental tests were conducted in a closed control-loop with a peak detector unit in a feedback path, as well as with various types of voltage perturbation with linear and non-linear loads. In addition, some of the properties of the proposed HDT have been compared with other similar hybrid and smart distribution transformers described in the literature.
Technology Roadmap and Dynamic Protection for Big Data Application in the Healthcare

Big Data technologies can be used to improve the quality and efficiency of healthcare delivery. The highest impact of Big Data applications is expected when data from various healthcare areas, such as clinical, administrative, financial, or outcome data, can be integrated. For enabling the seamless access several technical requirements, such as data digitalization, semantic annotation, data sharing, data privacy and security as well as data quality need to be addressed. Critical Care IT systems such as life supportdevices, vitals monitoring systems, information systems that provide point of care guidance to care teams are a key component of a lifesaving effort in Healthcare, has created new challenges and the point in time detection methods at the hospitals are no longer effective and pose a big threat to the critical care systems. To maintain the availability and integrity of these critical care systems, new adaptive, learning security defense systems are required that not only learns from the traffic entering the hospital, but also proactively learns from the traffic worldwide. Cisco’s Cloud web security (CWS) provides industry-leading security and control for the distributed enterprise by protecting users everywhere, anytime through Cisco worldwide threat intelligence, advanced threat defense capabilities, and roaming user protection. In this paper, we introduce a detailed analysis of these technical requirements and show how the results of our analysis lead towards a technical roadmap for Big Data in the healthcare domain and how big Data Analytics is used in combination with other security capabilities to proactively identify threats and prevent wide spread damage to healthcare critical assets. Keywords—Big Data; technical requirements; data digitalization; semantic annotation; data integration; data privacy and security; data quality Healthcare, Security, Critical Care, Big Data Analytics, Behavior Analysis, Machine Learning, Malware,
Effects of electrode size on the voltage of a tree-based energy generator

A standing tree and its surrounding soil form a sustainable energy generator, which is expected to decrease the need for in-the-field battery changes of low-power sensors used in forests, thereby enhancing forest monitoring technologies. Although various tree-powered circuits and sensors have already been invented, the low voltage of such a generator still causes great difficulty in energy harvesting and utilization. Hence, a key issue that must be addressed is the increasing voltage level. A larger electrode may generate a higher voltage level. However, the relationship between the electrode size and voltage remains unclear. Moreover, larger electrodes will incur higher costs and worsen portability. Therefore, this study aims to preliminarily ascertain the effect of the electrode size on voltage and to provide a reference for optimally using such a generator. Six plate-shaped ground electrodes of different side lengths were used to measure the tree-soil voltage. The measured data show that voltage has a logarithmic relationship with the effective surface area of the ground electrode. With the increasing area of the electrode, the voltage rises by at least 57% relative to the initial value; however, its growth rate declines markedly. Therefore, a larger electrode size is not always better for a generator when considering efficiency, cost, and portability. In this study, an electrode size of 10 cm × 10 cm × 0.3 cm was found to be optimal.A standing tree and its surrounding soil form a sustainable energy generator, which is expected to decrease the need for in-the-field battery changes of low-power sensors used in forests, thereby enhancing forest monitoring technologies. Although various tree-powered circuits and sensors have already been invented, the low voltage of such a generator still causes great difficulty in energy harvesting and utilization. Hence, a key issue that must be addressed is the increasing voltage level. A larger electrode may generate a higher voltage level. However, the relationship between the electrode size and voltage remains unclear. Moreover, larger electrodes will incur higher costs and worsen portability. Therefore, this study aims to preliminarily ascertain the effect of the electrode size on voltage and to provide a reference for optimally using such a generator. Six plate-shaped ground electrodes of different side lengths were used to measure the tree-soil voltage. The measured data show that voltage has a .
Evaluation of Sequential Head Computed Tomography in Traumatic Brain Injuries

Background: The grading of the severity of head trauma plays a vital role in acute patient management and planning a case-appropriate follow-up protocol. Few studies have been published regarding the Rotterdam scoring. In this study, we have established a correlation between the Rotterdam scores, need for sequential CTs, and the cumulative radiation dose. This correlation has helped develop a preliminary protocol that can be followed for patients hence bringing about better planned and efficient patient care. Materials and methods: From August 2014 to December 2020, 88 cases of traumatic head injury on whom a minimum of one sequential CT was performed, with no surgical intervention, were included and studied. Sequential head CTs of each patient were evaluated by skilled radiologists with a minimum experience of five years, all of whom were blinded to the findings of the initial and previous head CT findings. The serial head CTs were evaluated for the Rotterdam CT score (RCTS). Results: Among the patients with extradural hemorrhage (EDH), only 28.6% (8) progressed over successive CTs and 75.5% (34) of patients with subdural hemorrhage (SDH) showed significant progression over sequential CTs. Maximum number of serial CTs were obtained for cases presenting with a score of 3 (34 cases) with about three of them requiring up to a total of three CTs. However, no significant change in findings was noted on serial CTs. On the contrary, significant disease progression was noted in patients with baseline scores of 4 (76.9%) and 5 (100%), with statistical significance obtained on further analysis (P = 0.001). Conclusions: We are of the opinion that there is no additional role of sequential CT for the cases with Rotterdam score of 1 or 2 in the initial CT unless there is clinical evidence of deterioration. Rotterdam score 3 needs sequential CT after 24 hours and Rotterdam scores 4 and 5 need sequential CT after 12 hours if surgical intervention is delayed. The Rotterdam score may help predict any further need for a second CT, hence decreasing the unwanted radiation exposure.
Multikey Verifiable Homomorphic Encryption

A homomorphic encryption (HE) scheme is an advanced encryption technology which allows any user receiving ciphertexts to perform computations over them in a public manner. An important application of an HE scheme is a private delegating computation where clients encrypt their secret data, send the ciphertexts to a (computationally powerful) server who perform computations over encrypted data. In this application, one of the crucial problems is that the delegated server might be not trusted one and in this case, we cannot believe that a server always returns correct computation results. To solve this problem, Lai et al. (ESORICS 2014) proposed a verifiable homomorphic encryption (VHE) as a core primitive realizing private and verifiable secure delegating computation. However, their VHE scheme only supports homomorphic evaluation over ciphertexts generated by a single user. In this paper, we propose a formalization and its construction of multi-key verifiable homomorphic encryption (MVHE), which is a new cryptographic primitive for realizing private and verifiable delegated computation in the multi-client setting. Our construction can be obtained by combining a multi-key homomorphic encryption scheme and a multi-key homomorphic encrypted authentication scheme, which is also a new primitive provided in this work.
The Study of pH and Ionic Strength on Ni(II) and Pb(II) sorption using Humic Acid-Urea Formaldehyde (AHUF)

The study of pH and ionic strength on Pb(II) and Ni(II) sorption with AHUF adsorbent has been investigated. The AHUF was synthesized from humic acid (AH) with urea-formaldehyde (UF) and characterization by FTIR, SEM-EDX, total acidity content, and pH zero point charge (pHpzc). The study of pH and ionic strength using the batch system. The formation of AHUF was identified based on; decreases in total acidity (349.30 cmol/kg), emerging peaks at 3351, 1258, and 1049 cm-1 by FTIR, and increases of N atoms 21.06% by EDX. The results indicate the adsorption of Pb(II) and Ni(II) are strongly dependent on pH and ionic strength at pH < 6. The AHUF have a pHpzc value is 4.82 with optimum sorption on pH 5. The variations of NaCl to adsorption Pb(II) and Ni(II) caused a decrease in the value of ionic activity from 0.999 M – 0.309 M, the amount of adsorbed will decreased.
A Survey on African Catfish (Clarias gariepinus) Feeding and Production in Laos

A formal survey was carried out to collect information concerning African cat-fish ( Clarias gariepinus ) production systems practiced at small, medium and large farms in three districts, selected as representatives for a rain-fed, wetland and irrigated areas. In addition, feedstuffs used were collected for chemical analysis. Catfish pond areas per farm ranged from 100-3,200 m 2 in the rain-fed, 160-2,800 m 2 in the wetland and 120-5,000 m 2 in the irrigated areas. Catfish yield per six months and ha pond area was in the range 1.7 to 3.0 ton fresh weight with no major difference between areas. However, including all data the fish yield (t ha -1 6 months -1 ) was correlated (R 2 = 0.53; P<0.0001) to the fish pond area (m 2 ). A total of thirteen feedstuffs, including both conventional and unconventional, were identified as being frequently used for catfish feeding. The use of feedstuffs varied between different agro-ecological areas and between farms of different size within each area. There were large differences in the overall diet content of major nutrients. However, in general, the diets were low in crude protein (150-220 g kg -1 DM) and had to low protein to energy ratio.
Characterization of carbon fiber reinforced polymer strengthened concrete and gap detection with a piezoelectric-based sensory technique

In this article, a piezoelectric-based sensory technique is proposed for detection of the gap between surfaces of a carbon fiber reinforced polymer plate and a concrete specimen and characterization of shrinkage of early-age concrete. The proposed technique uses the propagation properties of the guided waves in the carbon fiber reinforced polymer plate excited and received by piezoelectric transducers attached to an external surface of the carbon fiber reinforced polymer–strengthened concrete specimen. Measurements are conducted with fresh and hardened early-age concrete specimens and two carbon fiber reinforced polymer plates at different gaps. A piezoelectric actuator is excited using a sine burst signal, and the generated wave is received by a sensor after propagation along the specimen. The received signal at different gap values is used to detect a gap. To quantify the gap, damage indices, including correlation coefficient, peak-to-peak amplitude of resultant signal, and root-mean-square deviation, are used. The shrinkage of concrete is detected and predicted by comparing the damage indices at different gaps with the indices at different stages of early-age concrete. The proposed technique is relatively simple method using small transducers. It is one-sided, non-destructive, and cost-effective solution for gap detection and concrete characterization.
Effect of post-heat treatment on microstructure and properties of EH47 steel CGHAZ

To clarify the effect of post-heat treatment on the microstructure and mechanical properties of the coarse-grained heat-affected zone (CGHAZ) for EH47 steel, simulated CGHAZ specimens were subjected to post-heat treatment at 250°C for 1.0 h. The results showed that the microstructure of CGHAZ was composed of granular bainite (GB) and lath bainite (LB), and a large number of iron-carbon particles (∼81 nm) were precipitated after post-heat treatment. The relationship between dislocations, low-angle grain boundaries and iron-carbon particles was revealed by KAM values. The iron-carbon particles hindered the movement of sub-grain boundaries and dislocations, thereby increased the yield strength (∼120 MPa). The precipitation of iron-carbon particles caused the cracking of bainite ferrite and reducing the fracture toughness of CGHAZ.
Behavioural Response of the Parasitoid Cotesia flavipes to Herbivore Induced Volatiles in Sweet Sorghum

Plants emit a variety of compounds in response to an attack by herbivores. Herbivore-induced plantvolatiles (HIPVs) mediate interactions between plants and natural enemies. Volatiles were collected fromsweet sorghum plants oviposited by Chilo partellus Swinhoe and the response of the parasitoid Cotesiaflavipes Cameron to these volatiles were tested in four-arm olfactometer. Cotesia flavipes spent significantly more time (6.52± 0.72 min, p = 0.0000) in arm treated with C. partellus oviposited plant volatiles compared to untreated control (3.17± 0.19 min). These compounds were identified by GC-MS as octanal, decanal, nonanal, 6-methyl 5 heptanone and caryophyllene. Nonanal and decanal were 8.46 and 4.66%, respectively in plants with Chilo eggs, whereas in the control plants, it was 5.48 and 1.39%, respectively. The behavior of parasitoid towards HIPVs enhances the development of sustainable IPM strategies by manipulating the foraging behaviour of parasitoids.
Integrated Driving/Charging/Discharging Battery-Powered Four-Phase Switched Reluctance Motor Drive With Two Current Sensors

In this letter, the motor drive for four-phase switched reluctance motor (SRM) with only two current sensors is proposed. The asymmetric half-bridge circuit is used, but each of the two winding currents is sensed by one current sensor, which makes the proposed SRM drive able to provide additional charging/discharging functions without adding any extra circuit component, extra current sensor, and selector. The integrated drive is implemented and demonstrated by the provided results.
The Top 100 Most Cited Scientific Papers in the Public, Environmental & Occupational Health Category of Web of Science: A Bibliometric and Visualized Analysis

(1) Background: The main basis for the public recognition of the merits of scientists has always been the system of scientific publications and citations. Our goal is to identify and analyze the most cited articles in the Public, Environmental & Occupational Health category. (2) Methods: We searched the Web of Science for all articles published in the “Public, Environmental & Occupational Health” category up to March 2022 and selected the 100 most cited articles. We recorded the number of citations, the journal, the year of publication, quartile, impact factor, institution, country, authors, topic, type of publication and collaborations. (3) Results: 926,665 documents were analyzed. The top 100 had 401,620 citations. The journal with the most articles was the Journal of Clinical Epidemiology and the one with the highest number of citations was Medical Care. The year with the highest number of articles in the top 100 was 1998. The country with the highest percentage of publications was the USA and the most productive institution was Harvard. The most frequent keywords were bias, quality, and extension. The largest collaboration node was between the USA, Canada, Germany, Spain, Australia, France, and Sweden. (4) Conclusions: This bibliometric study on Public, Environmental & Occupational Health provides valuable information not only to identify topics of interest in the analyzed category, but also to identify the differences in the topics they study.
IMPACT OF THE NEW NORMALITY ON STRATEGIC MANAGEMENT AND PROJECT & PROGRAM MANAGEMENT

According to representative theories on strategy by Henry Mintzberg, Lawrence Freedman, et al. strategy is a general plan to achieve one or more long-term or overall goals under conditions of uncertainty; strategy involves setting goals and priorities, determining actions to achieve the goals, and mobilizing resources to execute the actions. Strategy can be classified into 1) planned strategy, e. g. strategy derived from a corporation’s mission statement; 2) differentiation strategy to compete in the competitive marketplace; and 3) contingent strategy to empower a corporation to get adapted to ecosystem changes. Being a part of project management studies, this article focuses on type 3) strategy and analyzes how the strategic management in this category, usually conducted by using project, program and portfolio management (PPPM) as its vehicle of implementation, is being affected or will be affected by the new normality. The new normality includes factors such as the VUCA characters of the world; disruption in technology, economy and society; climate change; green economy; a chain of epidemics or pandemics; and digital transformation. These factors mandate agile perspectives, positioning and planning of contingent strategy and updated ways strategies are delivered by way of strategic management and PPPM along the Mintzberg theory. This paper, after examining the impact of the new normality factors on contingent strategy, proposes a conceptual framework of and concise discussions on agility elements of corporate enterprises under the new normality which are realized by applied project management, and the author’s methodologies and learning attitude to cope with disruption. The agility elements are grouped into agility in mid-term corporate planning, corporate agility enablers, agile business development by projects, and project management adaptive to agility. In the conclusion, the author’s outlook on project and project management models in the new normality is offered.
Contrasting Sea‐Air CO2 Exchanges in the Western Tropical Atlantic Ocean

The western Tropical Atlantic Ocean is a biogeochemically complex region due to the structure of the surface current system and the large freshwater input from the Amazon River coupled with the dynamics of precipitation. Such features make it difficult to understand the dynamics of the carbon cycle, leading to contrasting estimates in sea‐air CO2 exchanges in this region. Here, we demonstrate that these contrasting estimates occur because the western Tropical Atlantic Ocean can be split into three distinct sub‐regions in terms of the sea‐air CO2 exchanges. The sub‐region under the North Brazil Current domain acts as a weak annual CO2 source to the atmosphere, with low interannual variability. The sub‐region under the North Equatorial Current influence acts as an annual CO2 sink, with great temporal variability. The third sub‐region under the Amazon River plume influence shows greater interannual variability of CO2 exchanges, but it always acts as a net oceanic sink for CO2. Despite this large spatial variability, the entire region acts as a net annual CO2 sink of −1.6 ± 1.0 mmol m−2 day−1. Importantly, the Amazon River plume waters drive 87% of the CO2 uptake in the western Tropical Atlantic Ocean. In addition, we found a significant increasing trend in sea surface CO2 partial pressure in the North Brazil Current and North Equatorial Current waters. Such trends are more pronounced than the increase in atmospheric CO2 partial pressure, revealing the sensitivity of carbon dynamics in these sub‐regions to global climate change.
Optically induced transportation of dielectric particles with fiber optic Bessel beam

Bessel beams are important for applications in optical trapping because they have non-diffracting and self-reconstructing properties. We fabricated a fiber device to generate a Bessel-like beam that is significantly more compact than a conventional bulk-optic Bessel beam generation system. Micro-scale dielectric particles in water are trapped and transported along the optical route formed by this Bessel-like beam. By controlling the speed and angular motion of the particles, we have demonstrated optically induced circulation of particles along triangular routes. This technique is applicable to the control of motion of living cells in a microscopic environment.