Miracle-dz/UniFAR-FTUs huggingface dataset:
One second vector and scalar magnetic measurements at low latitudeobservatory, CPL

There is increasing demand from the global geomagnetic community for the recording of 1 second vector and scalar magnetic datain lieu of the traditional of the 1 minute data, as the 1 second magnetic data would be more compatible with measurements made from low-earth orbiting satellites and the increased detectability threshold, would contribute to: (i) understanding the global scale ultra-low frequency (ULF) waves, sudden impulses and other processes in the ionosphere & magnetosphere: (ii) development of real-time space weather forecasts. The combination of ground and satellite data opens a new pathway in understanding many underlying physical processes in the lower-middle atmospheric dynamics, which has not been accurately understood so far. The International Real-time Magnetic ObservatoryNetwork (INTERMAGNET)observatories (IMO-s) have taken a lead in this direction and many IMO-s now produce both 1 minute and 1 second data. Being affordable, rugged, compact as well as having low power consumption, fluxgate magnetometers are the staple vector sensors of IMO-s.The increased order of noise in these sensors with increasing frequencies, is the main concern and work has been going on for the last decade towards development of suitable instruments (Courtillot and Chulliat, 2008; Korepanov et al. 2006, 2009; Pedersen and Merenyi, 2016 and references therein, Dobrodnyak, 2014; Logvinov, 2014) and techniques for the evaluation and elimination of noise from the data is also being pursued (Turbitt et al. 2013). At the new Magnetic Observatory of CSIR-NGRI in Choutuppal (CPL) campus, 1 second magnetic measurements commenced in the year 2016 using the newly developed Observatory grade 1 second fluxgate magnetometer, GEOMAG-02MO, from GEOMAGNET Ukraine and the Overhauser Proton Precession Magnetometer along with the data acquisition system, MAGREC-4B. The processes of commissioning of this setup in low-latitude conditions, with the aim to finally produce 1 second definitive data (the standards of which are still under discussion with INTERMAGNET) and the characteristics of the data from this new instrument are presented in this work.
The Complexity Of Government Communication System In Ettawa Crossbed (Ec) Goat Farming In Purworejo

The study is aimed to determine the complexity of the environment that is faced by the government communication system and regulation that was used to resolve the issue. The theory used is communication system in the perspective of Niklas Luhmann. The research method used is ethnography. The population of the study are in Purworejo which becomes center of crossbreed Ettawa goat farming. Data collection technique is conducted throught interviews and observations. The results of data analysis show that the government communication system has made regulations to resolve the real problems of crossbreed Ettawa goat farming that is done by breeders. When the government communication system produces the regulation, environmental issue has grown more complex. So the regulation that was made becomes irrelevant to the demands and challenge in the crossbreed Ettawa goat farming. The government communication system is slow in reducing the complexity of the environment and producing regulation.
Genetics of Anthracycline-Associated Cardiotoxicity

Anthracyclines are a major component of chemotherapies used in many pediatric and adult malignancies. Anthracycline-associated cardiotoxicity (ACT) is a dose-dependent adverse effect that has substantial impact on morbidity and mortality. Therefore, the identification of genetic variants associated with increased risk of ACT has the potential for significant clinical impact to improve patient care. The goal of this review is to summarize the current evidence supporting genetic variants associated with ACT, identify gaps and limitations in current knowledge, and propose future directions for incorporating genetics into clinical practice for patients treated with anthracyclines. We will discuss mechanisms of ACT that could be illuminated by genetics and discuss clinical applications for the cardiologist/cardio-oncologist.
A Characteristic Parameter Selection Method for Vibration Diagnosis of Internal Combustion Engine

A novel characteristic parameter selection method was proposed.In the method,the class recognition rate of each characteristic parameter under each operation condition was calculated,and the two charateristic parameters with highest class recognition rates in each operation condition were chosen to form the united diagnosis vector.To validate the effectiveness of the proposed method,various valve gap settings were used to simulate the valve train faults,common amplitude domain parameters extracted from the cylinder head vibration signals were analyzed and selected,and neural networks were adopted to recognize the simulatied faults.Statistical results show that when the number of diagnosed characteristic parameter is decreased to its half,the reduction of diagnosis accuracy is less than 1%.
Research coauthorship 1900–2020: Continuous, universal, and ongoing expansion

Abstract Research coauthorship is useful to combine different skill sets, especially for applied problems. While it has increased over the last century, it is unclear whether this increase is universal across academic fields and which fields coauthor the most and least. In response, we assess changes in the rate of journal article coauthorship 1900–2020 for all 27 Scopus broad fields and all 332 Scopus narrow fields. Although all broad fields have experienced reasonably continuous growth in coauthorship, in 2020, there were substantial disciplinary differences, from Arts and Humanities (1.3 authors) to Immunology and Microbiology (6 authors). All 332 Scopus narrow fields also experienced an increase in the average number of authors. Immunology and Classics are extreme Scopus narrow fields, as exemplified by 9.6 authors per Journal for ImmunoTherapy of Cancer article, whereas 93% of Trends in Classics articles were solo in 2020. The reason for this large difference seems to be the need for multiple complementary methods in Immunology, making it fundamentally a team science. Finally, the reasonably steady and universal increases in academic coauthorship over 121 years show no sign of slowing, suggesting that ever-expanding teams are a central part of current professional science.
OCEANFILMS (Organic Compounds from Ecosystems to Aerosols: Natural Films and Interfaces via Langmuir Molecular Surfactants) sea spray organic aerosol emissions – implementation in a global climate model and impacts on clouds

Abstract. Sea spray aerosol is one of the major sources of atmospheric particulate matter globally. It has increasingly been recognized that organic matter derived from ocean biological precursors contributes significantly to the composition of submicron sea spray and may modify sea spray aerosol impacts on clouds and climate. This paper describes the implementation of the OCEANFILMS (Organic Compounds from Ecosystems to Aerosols: Natural Films and Interfaces via Langmuir Molecular Surfactants) parameterization for sea spray organic aerosol emissions in a global Earth system model, the Energy Exascale Earth System Model (E3SM). OCEANFILMS is a physically based model that links sea spray chemistry with ocean biogeochemistry using a Langmuir partitioning approach. We describe the implementation details of OCEANFILMS within E3SM, compare simulated aerosol fields with observations, and investigate impacts on simulated clouds and climate. Four sensitivity cases are tested, in which organic emissions either strictly add to or strictly replace sea salt emissions (in mass and number) and are either fully internally or fully externally mixed with sea salt. The simulation with internally mixed, added organics agrees reasonably well with observed seasonal cycles of organic matter in marine aerosol and has been selected as the default configuration of the E3SM. In this configuration, sea spray organic aerosol contributes an additional source of cloud condensation nuclei, adding up to 30 cm−3 to Southern Ocean boundary-layer cloud condensation nuclei concentrations (supersaturation = 0.1 %). The addition of this new aerosol source strengthens shortwave radiative cooling by clouds by −0.36 W m−2 in the global annual mean and contributes more than −3.5 W m−2 to summertime zonal mean cloud forcing in the Southern Ocean, with maximum zonal mean impacts of about −4 W m−2 around 50–60∘ S. This is consistent with a previous top-down, satellite-based empirical estimate of the radiative forcing by sea spray organic aerosol over the Southern Ocean. Through its mechanistic approach, OCEANFILMS offers a path towards improved understanding of the feedbacks between ocean biology, sea spray organic matter, and climate.
CNDesc: Cross Normalization for Local Descriptors Learning

For a long time, the local descriptors learning benefited from the use of L2 normalization, which projects the descriptor space onto the hypersphere. However, there is no free lunch in the world. Although hypersphere description space stabilizes the optimization and improves the repeatability of the descriptors, it causes the descriptors to have a denser distribution, which reduces the discrimination between descriptors and leads to some incorrect matches. To alleviate this problem, we propose the learnable cross normalization technology as an alternative to L2 normalization, which can achieve a consistent improvement in several of the current popular local descriptors. In addition, we propose an ER-Backbone that can efficiently reuse features in descriptors extraction and an IDC Loss that can provide an image-level description space distribution consistency constraint to further stimulate the performance of the local descriptors. Based on the above innovations, we provide a novel local descriptors extraction method named CNDesc. We perform experiments on image matching, homography estimation, 3D reconstruction, and visual localization tasks, and the results demonstrate that our CNDesc surpasses the current state-of-the-art local descriptors. Our code is available at https://github.com/vignywang/CNDesc.
Effect of low voltage limit on degradation mechanism during high‐frequency dynamic load in proton exchange membrane water electrolysis

With regard to the hydrogen economy, setting the criteria for the durability evaluation of renewable energy‐powered proton exchange membrane water electrolysis (PEMWE) systems is an important milestone. In this study, accelerated stress test (AST) protocols that simulate the fluctuating power supply of renewable energy were explored. The average load was varied by changing the low voltage limit (LVL = 1.4, 1.5, 1.7, and 1.9 V) with fixation of a high voltage limit of 2.2 V. AST protocols can accurately reflect the real solar profile with various loads and high ramp rates. Protocols with the LVL = 1.4 V and LVL = 1.5 V demonstrated opposite trends even with minimal difference in LVL, resulting in positive and negative degradation slopes, respectively. The positive degradation slope (meaning performance decrease) for LVL 1.4 V is attributed to the reversal current, resulting in degradation of the cathode catalyst, which is characteristic of the fuel cell operating mode. On the contrary, a slight performance increase was observed for LVL 1.5 V, presumably caused by the thinning of the membrane and the creation of a rougher surface in the anode/membrane interface. Meanwhile, protocols with higher LVL (LVL 1.7 V and LVL 1.9 V) showed significant mass transport loss observed at voltages larger than 1.8 V. This may be attributed to severe delamination of the catalyst/membrane and/or diffuse layer/catalyst interface, presumably due to the changes in bubble nucleation and the resulting stress. The findings suggest a rational guideline for establishing a unified AST protocol applicable to renewable energy‐powered PEMWE systems, and subsequent material development strategies to minimize degradation processes.
Study of dynamic forces in human upper limb in forward fall.

Knowledge of dynamic forces acting on the upper limb is useful, and sometimes even necessary, in its treatment and rehabilitation after injuries, during prostheses designing, as well as in optimization of the sports training process. In this work an attempt to determine the quantity of the inertia forces generated in forward fall has been undertaken. For this purpose a simplified mechanical model of the human body biokinematic chain has been prepared. Geometric data and mass of each element have been taken from anthropometric atlas for the Polish population. Kinematic data necessary to perform the analysis was calculated using fundamental laws of Mechanics. In this way accelerations of the selected points necessary for the determination of inertia forces acting on the individual links of the model were yielded. For validation of the obtained results a numerical model was constructed using SimMechanic module of the Matlab Simulink software. It made possible to compare the results obtained in both simulation methods. To make joints model more realistic a values of the viscous friction were assumed.
A Textual Analysis for Understanding the Relations and the Identity Construction in Adolescent Oncology Patients: Retrospective Personal Views in Order to Educate Health Professionals

Patient input is critical for all aspects of value-based healthcare design. This contribution describes the following: the specifics of communications with doctors regarding the disease in adolescents and young adults with cancer; the patients’ thoughts, emotions and changes in self-perception; “other meanings” taking shape along the treatment pathway; and reacting modes to the disease and treatments. Thirty-five Italian AYA patients in follow-up (age 18–24) were involved in a plenary interview on the cited aspects of their oncological experience. The answers were analyzed by MADIT (Analysis Methodology of Computerized Textual Data) with the software SPAD. MADIT allowed us to perform text analysis, describe the graphical outcomes and discuss the results. Respondents took a first-person perspective and their personal narrative recall had objective and unequivocal connotations. Experience was narrated mainly by maintenance repertoires that fix the reality of disease, its treatments and personal identity. The account focused on the tumor and on an agreed approach to it. The time “after” was described as a distressing space that defines them. Making sense of the events was considered a significant help. Professionals need to focus on the discursive repertoires of communication with which the inner and outer reality are built. Lastly, these patients required a two-way dialogue throughout the entire caring process.
Sex-Specific Association between Environmental Tobacco Smoke Exposure and Asthma Severity among Adults with Current Asthma

Background: Tobacco smoke has been associated with negative health outcomes, including those with chronic respiratory illnesses, such as asthma. This study aimed to assess the relationship between exposure to environmental tobacco smoke (ETS), as well as tobacco use (cigarette and electronic cigarettes), on asthma severity among adults with current asthma, with stratification by sex to understand potential biological sex differences. Methods: The study population consisted of Californian adults 18 years or older with self-reported physician/health care diagnosis of asthma and still having current asthma from 2020 California Health Interview Survey. All descriptive statistics and analyses were sex-stratified and survey-weighted. Crosstabulations were used to understand the association between asthma attack and ETS or firsthand smoke exposure, while binary logistic regression models were used to assess the effect of ETS exposure, current smoking status, and control variables on asthma attack in the past 12 months, with a sub-analysis among non-smoking adults with asthma. Results: Among the primary variable of interest, 35% of males and 30% of females reported ETS exposure in the past 12 months, while 13% of males and 6% of females reported being a current smoker. Past year asthma attack was reported among 43% and 55% of males and females, respectively. Among males, after adjusting for all control variables, asthma attack was significantly higher among those with ETS exposure (OR: 1.75, 95% CI: 1.01–3.02) and among current smokers (OR: 3.82, 95% CI: 1.49, 9.81). Male non-smokers with ETS exposure had a 109% higher odds of asthma attack, compared to non-exposure individuals. Conclusion: Using a population-based survey, our results highlight the ongoing burden of tobacco use and exposure particularly among males with current asthma, further corroborate the literature on the relationship between tobacco and asthma, and highlight putative sex-specific outcomes.
A two-dimensional index for marginal homogeneity in ordinal square contingency tables

For square contingency tables with ordered categories, indexes that represent the degree of departure from the marginal homogeneity (MH) model have been proposed. There are two types of directionalities of departure from MH. The existing indexes, however, can analyze either the degree of departure from MH or the directionality but not both. To address this issue, this study proposes a two-dimensional index, which combines the existing indexes, can simultaneously analyze both the degree and directionality of departure from MH. This study also evaluates the usefulness of the proposed index for visually comparing degrees of departure from MH in several square contingency tables using con(cid:12)dence region.
Integrated Management of White Mold on Vegetables in Florida

PP276, a 10-page illustrated fact sheet by Mathews L. Paret and Stephen M. Olson, provides information on what crops white mold (Sclerotinia spp.) affects in Florida and available methods of control. Includes references. Published by the UF Department of Plant Pathology, July 2010. PP276/PP276: Integrated Management of White Mold on Vegetables in Florida (ufl.edu)
The Interplay between Multimorbidity, Physical Work Demands and Work Ability: Cross-Sectional Study among 12,879 Senior Workers

Background: Aging increases the risk of chronic diseases, which can challenge the ability to work and thereby push senior workers out of the labour market. This study investigates the association between non-communicable diseases (NCDs) and work ability among workers ≥50 years (senior workers) with physically demanding and sedentary work, respectively. Methods: In the SeniorWorkingLife study, 12,879 senior workers replied to a questionnaire survey on work and health in 2018. Associations between the type and number of NCD and work ability (scale 0–10) were modelled using a general linear model adjusting for potential confounders and combined with model-assisted weights from national registers. Results: A higher number of NCD (multimorbidity) was progressively associated with a lower work ability (trend test, p-value < 0.001). Physical work influenced the association between the number of NCDs and work ability. For specific diseases, mental disorders, including burn-out syndrome (least square mean difference (LSMD): −1.46, 95% CI: −1.61 to −1.32) and stress ( LSMD: −1.18, 95% CI: −1.29 to −1.07), demonstrated a stronger association with a lower work ability compared with somatic diseases, such as back diseases (LSMD: −0.72, 95% CI: −0.80 to −0.64). Conclusions: Multimorbidity was progressively associated with a lower work ability in senior workers, especially among those with physical work.
SUPPORT VECTOR MACHINE PADA INFORMATION RETRIEVAL

SVM merupakan classsifier yang mempunyai keunggulan dapat mengolah data berdimensi tinggi, tanpa mengalami penurunan performa yang signifikan. SVM sekarang ini semakin banyak dipergunakan. Pada information retrieval , SVM juga sudah banyak digunakan, khususnya pada bagian proses klasifikasi. Kemampuan SVM untuk mengolah data berdimensi besar sangat cocok untuk diterapkan pada data teks yang cenderung berdimensi besar. Pada tulisan ini dibahas perbandingan performa SVM dengan performa classsifier lain pada information retrieval . Pembahasan dilakukan berdasarkan hasil penelitian beberapa peneliti. Pada satu penelitian didapatkan bahwa SVM mengungguli classsifier lain. Pada penelitian lain didapatkan performa SVM berimbang dengan classsifier lain. Pada akhir tulisan dibahas mengenai langkah-langkah klasifikasi teks menggunakan SVM. Proses klasifikasi teks ini digunakan pada information retrieval data teks.
Africanizing Inclusive Education: Why, How, Who, Where and What to be Included

Although a lot of attention has been given to inclusive education (IE) both as a human right and a means of achieving equality and education for all goal, there has been controversies and complexities in its implementation. Moreover, there has been concerns on the need to decolonize/contextualize it to increase its relevance in African settings. The purpose of this study is to review relevant literature on IE in the African region. It aims at exploring IE progress and challenges in Africa as documented in existing literature and thereafter propose mechanisms of Africanizing education to ensure inclusion of African philosophy and culture to make education more accessible, meaningful, and productive. Integrative literature review was employed to analyse and synthesize database, publication, and online sources to present a more comprehensive understanding of the concept. Reference was given to the theories of inclusion and exclusion models to amicably conceptualize inclusion in a school setting. The focus was on African countries: Lower income countries are reported to adopt the western education systems with little regard to their context and as influenced by colonialism and globalization. There is therefore the need of an education system that addresses African-centred knowledge and values. The author therefore attempts to identify education elements in need of Africanization and strategies of achieving it. The study recommends restructuring policies and curriculums to make them more relevant and applicable to their regions of implementation, redefining diversity in an African setting, improving school conditions, and equipping teachers to accommodate a diverse population of learners, diversifying methodologies and adapting a whole school and community approach.
Bilateral K-Means for Superpixel Computation (the SLIC Method)

As a substitute to a full segmentation of a digital image, or as preprocessing to a segmentation algorithm, superpixels provide an over-segmentation that oﬀers several beneﬁts: good adherence to edges, uniformity of color inside superpixels, a richer adjacency structure than the regular grid of pixels, and the fact that each node of the graph of superpixels has a shape, which can be used in subsequent processing. Moreover, their evaluation is less subjective than a full segmentation, which somehow always involves a semantic interpretation of the scene. The SLIC method (Simple Linear Iterative Clustering) has been a very popular algorithm to compute superpixels since its introduction. Its advantage is due to its simplicity and to its computing time performance. In essence, it consists in a K -means clustering in bilateral domain, involving both position and color. We study in detail this algorithm and propose a fast, simple post-processing that ensures that superpixels are connected, a property not ensured by the original method.