bluuebunny/crossref_metadata_2025 huggingface dataset:
A Clinical Competency Framework for the Basic Package of Oral Care: Perceptions of Primary Oral Health Providers in Rural Nepal
Authors: Koirala Bidhya , Acharya Shreedhar , Spero Laura , Mittal Rakhi , Erchick Daniel J.
Published: July 2022

Introduction

The basic package of Oral Care (BPOC) was developed to improve oral health care for underserved populations worldwide. However, systematic delivery of the BPOC has been difficult to achieve, and training efforts have in some cases contributed to proliferation of malpractice. Standard Competency Frameworks (CF), increasingly used in dental and medical education to improve quality assurance, have not been established to date for the BPOC.

Methods

To evaluate provider perceptions of a BPOC-specific CF, in-depth interviews were conducted with 7 Primary Oral Health Providers (POHPs) and 5 Clinic Assistants working in the Jevaia Oral Health Care project (Jevaia) in Nepal. Participants were limited to providers who have used the CF. Interviews were audio recorded, transcribed in Nepali, and translated into English. A qualitative thematic analysis was applied through a multi-stage review process, and emergent themes were further grouped and categorized to draw final conclusions.

Results

Findings were categorized into four groups: (1) “What is the CF to Me”: Respondents frequently conflated the CF with professional development training. These activities together were essentially felt to offer clear performance guidance and a pathway for learning. (2) “Relationship to the Work”: Respondents reported that the CF's guidelines increased confidence, peer accountability, and job satisfaction. (3) “Practical Improvements”: Providers felt the CF improved their clinical skills, communication, crowd management, and teamwork. (4) “Community Impact”: Many participants felt that improved skills had led to a more efficient workflow, greater community acceptance, and increased utilization of services.

Conclusions

Clinicians broadly felt that the CF improved both their professional satisfaction and the quality of patient care. CFs should be considered integral to BPOC implementation, along with opportunities for continuous professional learning, and these activities will likely be most meaningful and impactful when recognized by government and other licensing bodies.
Accuracy and Reproducibility of Above-Water Radiometry With Calibrated Smartphone Cameras Using RAW Data
Authors: Burggraaff Olivier , Werther Mortimer , Boss Emmanuel S. , Simis Stefan G. H. , Snik Frans
Published: July 2022

Consumer cameras, especially on smartphones, are popular and effective instruments for above-water radiometry. The remote sensing reflectance Rrs is measured above the water surface and used to estimate inherent optical properties and constituent concentrations. Two smartphone apps, HydroColor and EyeOnWater, are used worldwide by professional and citizen scientists alike. However, consumer camera data have problems with accuracy and reproducibility between cameras, with systematic differences of up to 40% in intercomparisons. These problems stem from the need, until recently, to use JPEG data. Lossless data, in the RAW format, and calibrations of the spectral and radiometric response of consumer cameras can now be used to significantly improve the data quality. Here, we apply these methods to above-water radiometry. The resulting accuracy in Rrs is around 10% in the red, green, and blue (RGB) bands and 2% in the RGB band ratios, similar to professional instruments and up to 9 times better than existing smartphone-based methods. Data from different smartphones are reproducible to within measurement uncertainties, which are on the percent level. The primary sources of uncertainty are environmental factors and sensor noise. We conclude that using RAW data, smartphones and other consumer cameras are complementary to professional instruments in terms of data quality. We offer practical recommendations for using consumer cameras in professional and citizen science.
Effect of Organic Amendment on the Physicochemical Characteristics of Tailings Dam Soil and Root Development of Tree Species, Fifteen Years After Planting
Authors: Mwanasomwe Jacques Kilela , Langunu Serge , Nkulu Salvatora Nsenga , Shutcha Mylor Ngoy , Colinet Gilles
Published: July 2022

Among mine wastes, tailings are known to have the largest environmental impact, as they have high concentrations of trace elements and are susceptible to wind dispersal and water erosion. A tree plantation trial was installed at Kipushi tailing (DR Congo) in order to mitigate the contaminant dispersal in the surrounding areas. Fifteen years later, the present study was conducted for the purpose of investigating the macronutrient and metal content in amended holes and assessing the performance of tree species through root behavior in the tailings dams. Results show elevated available P, K, Ca, and Mg concentration in the surface and amended layers, which is higher than the unpolluted soil of the miombo woodland. Trace metals were manifold higher compared to the pedo-geochemical background of the region, with Cu and Co concentration tending to increase in the organic matter-rich layers, while Zn, Cd, Pb, and As remained higher in tailings. Compared to the tailing layer, roots grew well in the amended layers, but few roots ranging from very fine to big from all the surviving species were able to grow beyond the amended layers, indicating the possibility of tree survival on the tailings dams over many years. Acacia polyacantha and Psidium guajava are species that showed a higher quantity of roots in the unamended tailing layers. Leaves should be avoided for human or animal consumption, but as the concentration of Cu, Zn, and Co in guava was lower, there is no indication of hazards in case of their consumption. Therefore, the use of well-adapted tree species on the mix-up of the organic amendments with the uncontaminated topsoil seemed to be a good technique for the reclamation of larger polluted areas.
Reflections by Bengt Ulf Östen Sonnerup
Authors: Sonnerup Bengt
Published: July 2022

First, I will tell readers about memories of my graduate student days at Cornell. I will highlight some of my experiences there, and what I learned, and didn’t learn from them. Then I will then discuss a few of the research topics I have been working on over the years, including data interpretation and the tools for it, with special emphasis on the magnetopause. Aspects of MHD shocks and other structures, including boundary layers, are among those topics. I will mention a few people with whom I have worked closely and a few famous individuals, who influenced me in a significant way. The presentation contains material of potential interest to new, as well as more seasoned workers in the field. It will not always be in time order.
Impact of Inclusion of Multicomponent Synbiotic Russian Holstein Dairy Cow's Rations on Milk Yield, Rumen Fermentation, and Some Blood Biochemical Parameters
Authors: Trukhachev Vladimir I. , Buryakov Nikolai P. , Shapovalov Sergey O. , Shvydkov Aleksandr N. , Buryakova Maria A. , Khardik Irina V. , Fathala Mohamed M. , Komarova Oksana E. , Aleshin Dmitrii E.
Published: July 2022

The purpose of this study was to appraise the effect of the inclusion of multicomponent synbiotic “Kormomix® Rumin” in feeding lactating Holstein cows on milk productivity, indicators of rumen fermentation metabolism, and some hematological and biochemical parameters of the blood. For this study, 40 highly productive Russian Holstein cows were selected according to their productivity, physiological condition, live weight, and age. They were divided into four groups (10 heads/each). All animals received the basal total mixed ration (TMR), which was balanced and corresponded to the nutritional requirements for cows during the milking period with a milk yield of 36 kg/daily. The first group (control) fed basal (TMR) only while the 2nd, 3rd, and 4th group fed the basal (TMR) supplemented with a multicomponent synbiotic “Kormomix® Rumin” in amounts 25, 50, and 75 g/head/day, respectively, which was administered manually and individually after morning feeding daily and mixing carefully together with the concentrates directly after calving until 120 DIM. Milk, ruminal fluid, and blood samples were collected for studying the studied parameters. The highest values in all studied milk parameters were recorded in the 2nd experimental group but the differences were not significant. The inclusion of “Kormomix® Rumin” increased significantly the synthesis of volatile fatty acids in the 2nd experimental group (9.38 vs. 7.04 mmol/100 ml) in the control group. The level of serum α-Amylase (total) decreased significantly in the 2nd experimental group compared with other groups. The urea level recorded the lowest value in the control group, while the urea/creatinine ratio recorded the lowest value in the 4th group and the differences were significant when compared with the 2nd group. Accordingly, the inclusion of synbiotic “Kormomix® Rumin” in the diets of lactating cows has no impact on milk production. Whereas, it improves the intensity of rumen fermentation, which contributes to more efficient utilization of feed without any harmful effects on blood traits. Moreover, the recommended dose for use in their diets is 25 g/head/day.
Inhibitory Effect of Polydatin Against Aeromonas hydrophila Infections by Reducing Aerolysin Production
Authors: Dong Jing , Yan Tianhui , Yang Qiuhong , Zhou Shun , Song Yi , Liu Yongtao , Ma Liang , Xu Ning , Yang Yibin , Ai Xiaohui
Published: July 2022

The fast-growing demand for aquatic products has led to the rapid development of aquaculture. However, diseases caused by bacterial pathogens result in severe economic losses all over the world. Although the introduction of antibiotics to aquaculture decreased the mortality of infectious diseases, the emergence of antibiotic resistance caused treatment failure. Therefore, drugs with novel strategies are needed for combatting infections caused by resistant bacterial strains. In the present study, aerolysin was identified as a target for developing drugs from natural compounds against Aeromonas hydrophila (A. hydrophila) infections. We found that polydatin without an inhibitory effect against A. hydrophila growth could decrease the hemolysis mediated by aerolysin. In both western blot and qPCR assays, the addition of polydatin decreased the production of aerolysin by downregulating the aerolysin encoding gene. Moreover, cell viability and animal studies found that polydatin could reduce the pathogenesis of A. hydrophila both in vitro and in vivo. Taken together, these findings provided a novel approach and candidate for treating resistant A. hydrophila infections in aquaculture.
Identification of D/Yama2019 Lineage-Like Influenza D Virus in Chinese Cattle
Authors: Yu Jieshi , Li Tianyu , Wen Zhenyu , Wu Siyu , Wang Zhilin , Zheng Jiaying , Chen Mingwang , Chen Faming , Wei Wen-Kang , Zhai Shao-Lun , Liao Ming
Published: July 2022

Outbreaks of influenza D virus (IDV) continue to be reported in many countries. On the basis of the hemagglutinin-esterase fusion (HEF) gene, five IDV genetic lineages have been identified: D/OK, D/660, D/Yama2016, D/Yama2019 and D/CA2019 lineages. Previously reported IDV strains in China all form a sub-clade (D/China sub-lineage) within D/OK lineage. From October 2021 to February 2022, nasal swab samples (n = 250) were collected from apparently healthy cattle in slaughterhouses around the city of Guangzhou, China, and screened for IDV by RT-PCR. Ten samples were positive for IDV. An IDV strain with nearly complete genome sequences was identified and designated as D/bovine/CHN/JY3001/2021. Importantly, sequence alignments and phylogenetic analyses revealed that this IDV strain is genetically close to the strains (>98% homology) in the D/Yama2019 lineage that has been found only in Japan, but distant from the previously reported Chinese IDV strains (~95% similarity). These results demonstrate the emergence of D/Yama2019 lineage IDV in Chinese cattle herds, highlighting a need for future surveillance of D/Yama2019-like viruses toward better understanding both epidemiology and diversity of IDV in China.
One-Way Vibration Absorber
Authors: Bschorr Oskar , Raida Hans-Joachim
Published: July 2022

A vibration absorber consisting of a one-dimensional waveguide with a reflectionless termination extracts vibrational energy from a structure that is to be damped. An optimum energy dissipation occurs for the so-called power adjustment, i.e, the same level of resistance and the opposite reactance of structure and absorber. The dimensioning of these impedance parameters on the base of the classic second order “two-way” wave equation provides analytical solutions for a few simple waveguide shapes; solutions for all other waveguides are only accessible via numerical finite-element computation. However, the competing first order “one-way” wave equation allows for an analytical conception of both the known broadband vibration absorber and the “Acoustic Black Hole” absorber. For example, for an exponential waveguide, the two-way calculation shows no resistance (and hence no real wave propagation) below a cut-off frequency, while the one-way wave equation predicts absorption in the whole frequency range.
Intelligibility Improvement of Esophageal Speech Using Sequence-to-Sequence Voice Conversion with Auditory Attention
Authors: Ezzine Kadria , Di Martino Joseph , Frikha Mondher
Published: July 2022

Laryngectomees are individuals whose larynx has been surgically removed, usually due to laryngeal cancer. The immediate consequence of this operation is that these individuals (laryngectomees) are unable to speak. Esophageal speech (ES) remains the preferred alternative speaking method for laryngectomees. However, compared to the laryngeal voice, ES is characterized by low intelligibility and poor quality due to chaotic fundamental frequency F0, specific noises, and low intensity. Our proposal to solve these problems is to take advantage of voice conversion as an effective way to improve speech quality and intelligibility. To this end, we propose in this work a novel esophageal–laryngeal voice conversion (VC) system based on a sequence-to-sequence (Seq2Seq) model combined with an auditory attention mechanism. The originality of the proposed framework is that it adopts an auditory attention technique in our model, which leads to more efficient and adaptive feature mapping. In addition, our VC system does not require the classical DTW alignment process during the learning phase, which avoids erroneous mappings and significantly reduces the computational time. Moreover, to preserve the identity of the target speaker, the excitation and phase coefficients are estimated by querying a binary search tree. In experiments, objective and subjective tests confirmed that the proposed approach performs better even in some difficult cases in terms of speech quality and intelligibility.
A True Non-Newtonian Electrolyte for Rechargeable Hybrid Aqueous Battery
Authors: Hoang Tuan , Li Longyan , Zhi Jian , Doan The , Dong Wenhan , Huang Xiaoxiao , Ma Junhong , Xie Yahong , Chang Menglei , Chen P.
Published: July 2022

The rechargeable aqueous hybrid battery is a unique system in which the Li-ion mechanism dominates the cathode while the first-order metal reaction of stripping/depositing regulates the anode. This battery inherits the advantages of the low-cost anode while possessing the capability of the Li-ion cathode. One of the major challenges is to design a proper electrolyte to nourish such strengths and alleviate the downsides, because two different mechanisms are functioning separately at the node–electrolyte and the cathode–electrolyte interfaces. In this work, we design a non-Newtonian electrolyte which offers many advantages for a Zn/LiMn2O4 battery. The corrosion is kept low while almost non-dendritic zinc deposition is confirmed by chronoamperometry and ex situ microscopy. The gel strength and gelling duration of such non-Newtonian electrolytes can be controlled. The ionic conductivity of such gels can reach 60 mS⋅cm−1. The battery exhibits reduced self-discharge, 6–10% higher specific discharge capacity than the aqueous reference battery, high rate capability, nearly 80% capacity retention after 1000 cycles, and about 100 mAh⋅g−1 of specific discharge capacity at cycle No. 1000th. Negligible amorphization on the cathode surface and no passivation on the anode surface are observed after 1000 cycles, evidenced by X-ray diffraction and scanning electron microscopy on the post-run battery electrodes.
Developmental Risk, Adversity Experiences and ADHD Clinical Profiles: A Naturalistic Exploratory Study
Authors: Streeter Brooke , Sadek Joseph
Published: July 2022

Attention-deficit/hyperactivity disorder (ADHD) is a persistent neurodevelopmental disorder that results from complex interactions of multiple genes and environmental risk and adversity factors. Some researchers have suggested a need for additional research into differing clinical presentations of ADHD for further classification. In this context, this study aimed to investigate whether increases in risk and adversity factors increase the severity of ADHD and the number of comorbid psychiatric disorders. This is a naturalistic retrospective chart review exploratory study in 100 patients 16 years or older who have a confirmed diagnosis of ADHD. The quantitative data were analyzed using SPSS, using the Mann–Whitney test for parametric data and the Chi-square and Kruskal–Wallis p value tests for non-parametric and categorical data. Qualitative data were tabulated and described. The study found that (1) the average number of comorbidities increases with the severity of ADHD, (2) the average number of risk and adversity factors increases with the severity of ADHD, (3) the number of risk and adversity factors were positively associated with the number of comorbidities, and (4) Level of education was negatively associated with the number of risk and adversity factors and the number of comorbidities. The implications of these findings are discussed, and future research in this important area is suggested.
Extracellular Vesicles-ceRNAs as Ovarian Cancer Biomarkers: Looking into circRNA-miRNA-mRNA Code
Authors: Cammarata Giuseppe , Barraco Nadia , Giusti Ilaria , Gristina Valerio , Dolo Vincenza , Taverna Simona
Published: July 2022

Ovarian cancer (OC) is one of the most lethal gynecologic malignancies in females worldwide. OC is frequently diagnosed at an advanced stage due to a lack of specific symptoms and effective screening tests, resulting in a poor prognosis for patients. Age, genetic alterations, and family history are the major risk factors for OC pathogenesis. Understanding the molecular mechanisms underlying OC progression, identifying new biomarkers for early detection, and discovering potential targets for new drugs are urgent needs. Liquid biopsy (LB), used for cancer detection and management, consists of a minimally invasive approach and practical alternative source to investigate tumor alterations by testing extracellular vesicles (EVs), circulating tumor cells, tumor-educated platelets, and cell-free nucleic acids. EVs are nanosize vesicles shuttling proteins, lipids, and nucleic acids, such as DNA, RNA, and non-coding RNAs (ncRNAs), that can induce phenotypic reprogramming of target cells. EVs are natural intercellular shuttles for ncRNAs, such as microRNAs (miRNAs) and circular-RNAs (circRNAs), known to have regulatory effects in OC. Here we focus on the involvement of circRNAs and miRNAs in OC cancer progression. The circRNA-microRNA-mRNA axis has been investigated with Circbank and miRwalk analysis, unraveling the intricate and detailed regulatory network created by EVs, ncRNAs, and mRNAs in OC.
Identification of Lynch Syndrome in Patients with Endometrial Cancer Based on a Germline Next Generation Sequencing Multigene Panel Test
Authors: Kim Yoo-Na , Kim Min Kyu , Lee Young Joo , Lee Youngeun , Sohn Ji Yeon , Lee Jung-Yun , Choi Min Chul , Kim Migang , Jung Sang Geun , Joo Won Duk , Lee Chan
Published: July 2022

We aimed to investigate the prevalence and relative contributions of LS and non-LS mutations in patients with endometrial cancer in Korea. We retrospectively reviewed the medical records of 204 patients diagnosed with endometrial cancer who underwent a germline next generation sequencing multigene panel test covering MLH1, MSH2, MSH6, PMS2, and EPCAM at three tertiary centers. Thirty patients (14.7%) with pathogenic mutations (12 MLH1; 6 MSH2; 10 MSH6; 2 PMS2) and 20 patients (9.8%) with 22 unclassified variants (8 MLH1; 8 MSH2; 2 MSH6; 3 PMS2; 1 EPCAM) were identified. After excluding four close relatives of a proband, the prevalence of LS was 13.0% (26/200). Patients with LS were more likely than those with sporadic cancer to be younger at diagnosis (48 vs. 53 years, p = 0.045) and meet the Amsterdam II criteria (66.7 vs. 3.5%, p < 0.001). Non-endometrioid histology was more prevalent in patients with MSH6 or PMS2 mutations (41.7%) than those with MLH1 or MSH2 mutations (5.6%, p = 0.026). In this pre-selected cohort of endometrial cancer patients who underwent next generation sequencing, the prevalence of LS was 13%, thus supporting the use of gene panel testing for endometrial cancer patients.
Signature and Prediction of Perigastric Lymph Node Metastasis in Patients with Gastric Cancer and Total Gastrectomy: Is Total Gastrectomy Always Necessary?
Authors: Zhang Chun-Dong , Yamashita Hiroharu , Okumura Yasuhiro , Yagi Koichi , Aikou Susumu , Seto Yasuyuki
Published: July 2022

Background: A growing number of studies suggest that the current indications for partial gastrectomy, including proximal gastrectomy and pylorus-preserving gastrectomy (PPG), may be expanded, but evidence is still lacking. Methods: We retrospectively analyzed 300 patients with gastric cancer (GC) who underwent total gastrectomy. We analyzed the incidence of pLNMs in relation to tumor location, tumor size and T stage. We further identified predictive factors for perigastric lymph node metastasis (pLNM) in stations 1, 2, 3, 4sa, 4sb, 4d, 5, and 6. Results: No patients with upper-third T1–T2 stage GC had pLNMs in stations 4sa, 4sb, 4d, 5, or 6, but 3.8% of patients with stage T3 had 4d pLNM. No patients with upper-third GC < 4 cm in diameter had pLNMs in 2, 4sa, 4d, 5, or 6, and 2.3% of patients had pLNMs in 4sb. For middle-third GCs, 2.9% of patients with T1 stage had pLNMs in 4sa and 5, but no patients with T2 stage or tumors < 4 cm had pLNMs in 2, 4sa, or 5. The shortest distance from pylorus ring to distal edge of tumor (sDPD) was a new predictive factor for pLNMs in 2, 4d, 5, and 6. Conclusions: Proximal gastrectomy may be expanded to patients with stage T1–T2 GC and/or tumor diameter < 4 cm in the upper-third stomach, whereas PPG may be expanded to include T1–T2/N0 and/or tumors < 4 cm in the middle-third stomach. A new predictive factor, sDPD, showed good predictive performance for pLNMs, especially in stations 4d, 5, and 6.
Enhancing the Resilience and Adaptive Capacity of Smallholder Farmers to Drought in the Limpopo Province, South Africa
Authors: Shikwambana Sydney , Malaza Ntokozo , Ncube Bongani
Published: July 2022

Climate change has caused substantial losses, especially to smallholder farmers whose main source of livelihood is derived from agriculture. Climate change impacts can be reduced by enhancing coping and adaptation strategies. This study explores the coping and adaptation strategies of smallholder farming communities in the Limpopo Province, South Africa. As part of the assessment and analysis of drought, multiple sources of data were consulted, including 200 households’ socio-economic information, focus group discussions, and interviews. Extreme drought events are increasing, impacting negatively on smallholder farmers’ livelihoods. Adaptations to changing weather patterns were observed in smallholder farmers through planting early-maturing plants and drought-tolerant crops, altering planting dates, crop diversification, and irrigating in addition to non-farming activities. There is a need to enhance these context-based adaptation strategies to reduce risks and vulnerability and increase household resilience. Several socioeconomic developments and significant ecological deterioration appear to limit opportunities for long-term adaptation to drought.
Reply to Morillas-Jurado et al. Benford Law to Monitor COVID-19 Registration Data. Comment on “Farhadi, N.; Lahooti, H. Forensic Analysis of COVID-19 Data from 198 Countries Two Years after the Pandemic Outbreak. COVID 2022, 2, 472–484”
Authors: Farhadi Noah , Lahooti Hooshang
Published: July 2022

In our paper Forensic Analysis of COVID-19 Data from 198 Countries Two Years after the Pandemic Outbreak [...]
Polycystic Ovary Syndrome Triggers Atrial Conduction Disorders: A Systematic Review and Meta-Analysis
Authors: Moysidis Dimitrios V. , Papazoglou Andreas S. , Tsagkaris Christos , Oikonomou Vasileios , Loudovikou Anna , Kartas Anastasios , Stalikas Nikolaos , Karagiannidis Efstratios , Găman Mihnea-Alexandru , Papadakis Marios , Christodoulaki Chrysi , Panagopoulos Periklis
Published: July 2022

Background: Polycystic ovary syndrome (PCOS) is closely related to various adverse cardiovascular manifestations and increased cardiovascular risk. However, atrial fibrillation (AF) development and atrial conduction abnormalities have not been thoroughly studied in patients with PCOS. Methods: This meta-analysis (CRD42021261375) was conducted in accordance with the PRISMA guidelines. Our aim was to investigate associations between PCOS and disorders in atrial conduction parameters linked with an increased risk for AF occurrence. Results: Five cohort studies with aggregate data on 406 adult women (229 with PCOS and 177 age-matched without PCOS) were included in this analysis. Our results showed a significantly increased mean difference in P-wave maximum duration (+7.63 ± 7.07 msec; p < 0.01) and P-wave dispersion (+11.42 ± 5.22 msec; p = 0.03) of patients with PCOS compared to healthy women. The mean difference in P-wave minimum duration (−2.22 ± 2.68 msec; p = 0.11) did not reach the statistical threshold between the compared groups. Echocardiographic measurements of atrial electromechanical delay (AED) also indicated a statistically significant mean difference in favour of the PCOS group in all assessed parameters, except for atrial electromechanical coupling (PA) in the tricuspid annulus. Particularly, PCOS was associated with increased lateral PA, septal PA, inter- and intra-AED durations (mean difference: +17.31 ± 9.02 msec; p < 0.01, +11.63 ± 7.42 msec; p < 0.01, +15.31 ± 9.18 msec; p < 0.01, +9.31 ± 6.85 msec; p < 0.01, respectively). Conclusions: PCOS is strongly associated with alterations in several electrocardiographic and echocardiographic parameters indicating abnormal atrial conduction. Therefore, PCOS could be considered as a causal or triggering factor of AF. Larger studies are needed to confirm these results and investigate direct associations between PCOS and AF.
LLGF-Net: Learning Local and Global Feature Fusion for 3D Point Cloud Semantic Segmentation
Authors: Zhang Jiazhe , Li Xingwei , Zhao Xianfa , Zhang Zheng
Published: July 2022

Three-dimensional (3D) point cloud semantic segmentation is fundamental in complex scene perception. Currently, although various efficient 3D semantic segmentation networks have been proposed, the overall effect has a certain gap to 2D image segmentation. Recently, some transformer-based methods have opened a new stage in computer vision, which also has accelerated the effective development of methods in 3D point cloud segmentation. In this paper, we propose a novel semantic segmentation network named LLGF-Net that can aggregate features from both local and global levels of point clouds, effectively improving the ability to extract feature information from point clouds. Specifically, we adopt the multi-head attention mechanism in the original Transformer model to obtain the local features of point clouds and then use the position-distance information of point clouds in 3D space to obtain the global features. Finally, the local features and global features are fused and embedded into the encoder–decoder network to generate our method. Our extensive experimental results on the 3D point cloud dataset demonstrate the effectiveness and superiority of our method.
Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation
Authors: Junlakarn Siripha , Diewvilai Radhanon , Audomvongseree Kulyos
Published: July 2022

In power system planning, the growth of renewable energy generation leads to several challenges including system reliability due to its intermittency and uncertainty. To quantify the relatively reliable capacity of this generation, capacity credit is usually adopted for long-term power system planning. This paper proposes an evaluation of the capacity credit of renewable energy generation using stochastic models for resource availability. Six renewable energy generation types including wind, solar PV, small hydro, biomass, biogas, and waste were considered. The proposed models are based on the stochastic process using the Wiener process and other probability distribution functions to explain the randomness of the intermittency. Moreover, for solar PV—the generation of which depends on two key random variables, namely irradiance and temperature—a copula function is used to model their joint probabilistic behavior. These proposed models are used to simulate power outputs of renewable energy generations and then determine the capacity credit which is defined as the capacity of conventional generation that can maintain a similar level of system reliability. The proposed method is tested with Thailand’s power system and the results show that the capacity credit depends on the time of day and the size of installed capacity of the considered renewable energy generation.
Classification of Photovoltaic Failures with Hidden Markov Modeling, an Unsupervised Statistical Approach
Authors: Hopwood Michael , Patel Lekha , Gunda Thushara
Published: July 2022

Failure detection methods are of significant interest for photovoltaic (PV) site operators to help reduce gaps between expected and observed energy generation. Current approaches for field-based fault detection, however, rely on multiple data inputs and can suffer from interpretability issues. In contrast, this work offers an unsupervised statistical approach that leverages hidden Markov models (HMM) to identify failures occurring at PV sites. Using performance index data from 104 sites across the United States, individual PV-HMM models are trained and evaluated for failure detection and transition probabilities. This analysis indicates that the trained PV-HMM models have the highest probability of remaining in their current state (87.1% to 93.5%), whereas the transition probability from normal to failure (6.5%) is lower than the transition from failure to normal (12.9%) states. A comparison of these patterns using both threshold levels and operations and maintenance (O&M) tickets indicate high precision rates of PV-HMMs (median = 82.4%) across all of the sites. Although additional work is needed to assess sensitivities, the PV-HMM methodology demonstrates significant potential for real-time failure detection as well as extensions into predictive maintenance capabilities for PV.
Unified Fuzzy Logic Based Approach for Detection and Classification of PV Faults Using I-V Trend Line
Authors: Hussain Imran , Khalil Ihsan , Islam Aqsa , Ahsan Mati , Iqbal Taosif , Chowdhury Md. , Techato Kuaanan , Ullah Nasim
Published: July 2022

Solar photovoltaic PV plants worldwide are continuously monitored and carefully protected to ensure safe and reliable operation through detecting and isolating faults. Faults are very common in modern solar PV systems which interrupt normal system operation adversely affecting the performance of the PV systems. When undetected, faults not only cause significant reduction in the efficiency and life span of the PV system, but also result in damage and fire hazards compromising their reliability. Therefore, early fault detection and diagnosis of photovoltaic plants is a necessity for safe and reliable operation required for growing solar PV systems. Unfortunately, several recent fire incidents have been reported recently caused by undetected faults in solar PV systems. Motivated by this challenge, this paper, utilizing a proposed fuzzy logic algorithm, presents a novel technique for detecting and classifying faults in solar PV systems. Furthermore, the proposed method introduces fault indexing as a performance indicator that measures the degree of deviation from the normal operating conditions of the photovoltaic system. Various signatures of each fault scenario are identified in the shape of corresponding current-voltage trajectories and their extracted parameters. The effectiveness of the proposed technique is evaluated both in simulation and experimentally using a 5 kW grid connected solar array. It is demonstrated that the proposed technique is capable of diagnosing the occurrence of different faults with more than 98% accuracy.
Development of a Simple Experimental Setup for the Study of the Formation of Dry Bands on Composite Insulators
Authors: Andoh Marc-Alain , Gbah Kone , Volat Christophe
Published: July 2022

This paper introduces a new geometry for the study of dry band formation. Firstly, a thermoelectric simulation of a 69 kV uniformly polluted composite insulator was performed. The results obtained show that thermal stress is greater at the rod surface where current density is maximum. In order to experimentally reproduce the constriction of current density lines on the insulator rod surface, which is the cause of dry band formation, the development of a new simple geometric setup, which was then tested experimentally, was proposed. For this purpose, an ESDD value corresponding to a high level of pollution was used for each polluted sample, and the samples were placed in a climate chamber at constant 90% relative humidity and a constant ambient temperature of 20 °C. Low-voltage tests permitted the determination of the wetting duration, which corresponds to the maximum surface conductance of the polluted layer. The values obtained agree with the 10–40 min duration recommended in IEC 60507. Moreover, the tests performed at a higher voltage demonstrated the efficiency of the proposed setup to simulate the complex process of dry band formation in a reproducible way in terms of leakage current and temperature behavior. The proposed setup is a new and simple method that can be easily used by the electrical industry to develop new material for the next generation of overhead line composite insulators without requiring costly HV equipment.
Exploring the Role of Ash on Pore Clogging and Hydraulic Properties of Ash-Covered Soils under Laboratory Experiments
Authors: Kim Taehyun , Lee Jeman , Lee Ye-Eun , Im Sangjun
Published: July 2022

Fires can alter the hydraulic properties of burned soils through the consumption of organic matter on the ground surface. This study examined the effects of rainfall on the presence of soil pore clogging with varying ash layer thickness using laboratory rainfall simulator experiments. The image analysis with resin impregnation showed that rainfall impact caused plugging of soil pores at 22.2% with soil particles and 14.3% with ash particles on near surface soils (0–5 mm below). High rainfall intensities enhanced soil pore clogging by ash particles, particularly at shallow soil depths (0–10 mm). Ash deposits on the soil surface increased the water-absorbing capacity of ash-covered soils compared with that of bare soils. The rainfall simulation experiments also showed that ash cover led to a reduction in soil hydraulic conductivity, owing to the combined effects of surface crust formation and soil pore clogging. The complementary effects of soil pore clogging and water absorption by ash cover could hamper the accurate understanding of the soil hydrologic processes in burned soils.
Dimples for Skin-Friction Drag Reduction: Status and Perspectives
Authors: Gattere Federica , Chiarini Alessandro , Quadrio Maurizio
Published: July 2022

Dimples are small concavities imprinted on a flat surface, known to affect heat transfer and also flow separation and aerodynamic drag on bluff bodies when acting as a standard roughness. Recently, dimples have been proposed as a roughness pattern that is capable of reducing the turbulent drag of a flat plate by providing a reduction of skin friction that compensates the dimple-induced pressure drag and leads to a global benefit. The question whether dimples do actually work to reduce friction drag is still unsettled. In this paper, we provide a comprehensive review of the available information, touching upon the many parameters that characterize the problem. A number of reasons that contribute to explaining the contrasting literature information are discussed. We also provide guidelines for future studies by highlighting key methodological steps required for a meaningful comparison between a flat and dimpled surface in view of drag reduction.
The Influence of Familial Relationships: Multiracial Students’ Experiences with Racism at a Historically White Institution
Authors: Malaney-Brown Victoria K.
Published: July 2022

Multiracial college students’ enrollment has increased significantly over the past decade. This study examined the experiences of multiracial college students at a historically White institution (HWI) in the Northeast—particularly how student experiences within interracial family relationships—prior to college and while enrolled in college have assisted them in navigating instances of racism. In this exploratory qualitative study, students indicated that their family members can provide support in understanding racism. However, it does depend on the type of relationship and support (e.g., strong, weak, or stressed) they receive from specific family members during their pre-college and college experiences. Multiracial students confirmed experiencing multiracial microaggressions and found that they receive the most family support from their siblings. Implications are provided for students, practitioners, and interracial families to empower multiracial students to confront racism while attending a HWI.
Burkitt Lymphoma Incidence in Five Continents
Authors: Mbulaiteye Sam M. , Devesa Susan S.
Published: July 2022

Burkitt lymphoma (BL) is a rare non-Hodgkin lymphoma first described in 1958 by Denis Burkitt in African children. BL occurs as three types, endemic, which occurs in Africa and is causally attributed to Epstein-Barr virus and P. falciparum infections; sporadic, which occurs in temperate areas, but the cause is obscure; and immunodeficiency-type, which is associated with immunosuppression. All BL cases carry IG∷MYC chromosomal translocations, which are necessary but insufficient to cause BL. We report a comprehensive study of the geographic, sex, and age-specific patterns of BL among 15,122 cases from Cancer Incidence in Five Continents Volume XI for 2008–2012 and the African Cancer Registry Network for 2018. Age-standardized BL rates were high (>4 cases per million people) in Uganda in Africa, and Switzerland and Estonia in Europe. Rates were intermediate (2–3.9) in the remaining countries in Europe, North America, and Oceania, and low (<2) in Asia. Rates in India were 1/20th those in Uganda. BL rates varied within and between regions, without showing a threshold to define BL as endemic or sporadic. BL rates were twice as high among males as females and showed a bimodal age pattern with pediatric and elderly peaks in all regions. Multi-regional transdisciplinary research is needed to elucidate the epidemiological patterns of BL.
Analyzing the Effect of Social Distancing Policies on Traffic at Sinchon Station, South Korea, during the COVID-19 Pandemic in 2020 and 2021
Authors: Kim Nam-gun , Jang Hyeri , Noh Seungkeun , Hong Ju-hee , Jung Jongsoon , Shin Jinho , Shin Yongseung , Kim Jongseong
Published: July 2022

The COVID-19 pandemic is recognized as one of the most serious global health problems, and many countries implemented lockdown measures to mitigate the effects of the crisis caused by this respiratory infectious disease. In this study, we investigated the relationship between social distancing policies and changes in traffic volume in Sinchon Station, South Korea. We used an official COVID-19 report provided by the Korea Disease Control and Prevention Agency (KCDA) and Seoul Metropolitan Government (SMG) to review social distancing policies, and the changes in traffic patterns before and during the COVID-19 pandemic between January 2020 and November 2021 were analyzed. Our study reveals that the changes in the overall traffic patterns from acceleration phases to deceleration phases of COVID-19 were related to the alert levels of social distancing policies implemented to tackle the situation resulting from the COVID-19 pandemic. Herein, we found that a significant decline in traffic volume took place from August to September 2020 (13.5–19.7%, weekday; 19.4–31.7%, weekend), from December 2020 to January 2021 (20.0%−26.6%, weekday; 26.8–34.0%, weekend), and from July to September 2021 (3.2–13.1%, weekday; 38.3–44.7%, weekend) when compared to the corresponding periods in 2019 (paired t-test; p < 0.001). The results of this study provide strong support for the effectiveness of Seoul’s preemptive measures, namely, the central government’s intensive social distancing campaign, in managing and reducing the impact of the pandemic situation based on the precise analysis of 10 types of facilities.
The Psychological Impact of the COVID-19 Pandemic on Postsecondary Students: An Analysis of Self-Determination
Authors: Randall Paige S. , Koppel Paula D. , Docherty Sharron L. , De Gagne Jennie C.
Published: July 2022

The COVID-19 pandemic has put postsecondary students across the world at risk of psychological distress, negatively impacting their basic psychological well-being, including self-determination. Although the concept of self-determination has been widely discussed in literature, it is poorly understood within the context of postsecondary students during the COVID-19 pandemic. This study aimed to examine the concept of self-determination (SD) as it relates to postsecondary students amid the COVID-19 pandemic. The Rodgers’ evolutionary method of concept analysis was used. PubMed, CINAHL, PsycINFO, and ERIC were electronically searched using the keywords “postsecondary students” “coronavirus pandemic” and “self-determination.” The historical, legal, educational, and health science literature were investigated to generate a holistic definition of SD in the past. This analysis has identified the antecedents, attributes, and consequences of self-determination in postsecondary students during this global health crisis. This analysis adds to the knowledge base regarding the evolution, significance, and application of the concept of SD in the context of postsecondary students amidst the COVID-19 pandemic. Implications for future research were also explored, such as using strategies to promote SD in postsecondary students to develop resilience during the pandemic.
Sociodemographic and Work-Related Variables Affecting Knowledge of, Attitudes toward, and Skills in EBNP of Nurses According to an EBPPQ
Authors: Młynarska Katarzyna , Grochans Elżbieta , Kamińska Magdalena Sylwia , Cybulska Anna Maria , Panczyk Mariusz , Kupcewicz Ewa
Published: July 2022

(1) This study examines sociodemographic and work-related variables to determine their impact on the knowledge of, attitudes toward, and skills in Evidence-Based Nursing Practice (EBNP). (2) The study included 830 nurses from four voivodships in Poland, Dolnośląskie, Łódzkie, Podlaskie, and Zachodniopomorskie and was conducted by the diagnostic survey method, using the questionnaire technique. The following research tools were applied in the study: an Evidence-Based Practice Profile Questionnaire (EBPPQ) and a survey questionnaire developed by the authors, containing questions on sociodemographic data and work-related variables. (3) Sociodemographic variables with an impact on the knowledge of, attitudes toward, and skills in EBNP include age, marital status, and educational background. Older nurses find it problematic to apply EBNP, and their level of relevant knowledge and skills is lower; whereas, those with university education possess the best EBNP-related skills, and they are also more eager to expand them and apply them in their work. The work-related variables with an impact on the knowledge of, attitudes toward, and skills in EBNP among nurses include work experience, which has a negative effect on applying EBNP and the skills associated with it. The type of school from which the nurses graduated and the nursing specialisation training also have a strong impact on expanding nurses’ competence in EBNP.
Collective Protection Measures for Occupational Exposure to Carcinogenic Chemicals in France: The Links between Regulations on Chemicals and Effective Implementation
Authors: Havet Nathalie , Penot Alexis
Published: July 2022

European directives stipulate that French employers take all available measures to reduce the use of carcinogenic agents. Our study explores the links between regulations on chemicals and the effective implementation of collective protection measures in France to occupational exposure to carcinogenic chemicals. Individual data from the French national cross-sectional survey of occupational hazards, conducted in 2017, were analysed. We investigated whether stricter regulations and longer exposures were associated with a higher level of collective protection using multivariate logistic regressions. In 2017, any collective protection measures were implemented for 35% of occupational situations involving exposure to a carcinogen. A total of 21% of exposure situations benefited from source-based controls (e.g., isolation chamber and local exhaust ventilation) and 26% from general ventilation, for which the effect is limited as collective protection. Our regressions showed that longer exposure durations were associated with more collective protection. Exposure situations to chemicals classified as proven carcinogens by the European Union (category 1A) benefited more from collective protections, which is not the case for products only classified as suspected carcinogens (category 1B). Exposures to products with a Binding Occupational Exposure Limit Value benefited more from source-based controls. Nonetheless, the time spent on the IARC list of carcinogens did not appear to influence the implementation of collective protection measures, except for local exhaust ventilation. At a time when efforts to improve the implementation of protective measures in order to drastically reduce the risks of occupational cancers are still necessary, stricter European and national regulations, but above all, better coordination with the work of the IARC and its classification, are avenues to pursue.