bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images
Authors: Testa Francesca , Fontana Francesco , Pollastri Federico , Chester Johanna , Leonelli Marco , Giaroni Francesco , Gualtieri Fabio , Bolelli Federico , Mancini Elena , Nordio Maurizio , Sacco Paolo , Ligabue Giulia , Giovanella Silvia , Ferri Maria , Alfano Gaetano , Gesualdo Loreto , Cimino Simonetta , Donati Gabriele , Grana Costantino , Magistroni Riccardo 
Published: July 2022

Background and objectives
Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic prognostic score, assessed against ground truth (kidney failure) among patients with IgA nephropathy who were treated over 39 years. We assessed noninferiority in comparison with the histologic component of currently validated predictive tools. We correlated additional histologic features with our deep learning predictive score to identify potential additional predictive features.

Design, setting, participants, & measurements
Training for deep learning was performed with randomly selected, digitalized, cortical Periodic acid–Schiff–stained sections images (363 kidney biopsy specimens) to develop our deep learning predictive score. We estimated noninferiority using the area under the receiver operating characteristic curve (AUC) in a randomly selected group (95 biopsy specimens) against the gold standard Oxford classification (MEST-C) scores used by the International IgA Nephropathy Prediction Tool and the clinical decision supporting system for estimating the risk of kidney failure in IgA nephropathy. We assessed additional potential predictive histologic features against a subset (20 kidney biopsy specimens) with the strongest and weakest deep learning predictive scores.

Results
We enrolled 442 patients; the 10-year kidney survival was 78%, and the study median follow-up was 6.7 years. Manual MEST-C showed no prognostic relationship for the endocapillary parameter only. The deep learning predictive score was not inferior to MEST-C applied using the International IgA Nephropathy Prediction Tool and the clinical decision supporting system (AUC of 0.84 versus 0.77 and 0.74, respectively) and confirmed a good correlation with the tubolointerstitial score (r=0.41, P<0.01). We observed no correlations between the deep learning prognostic score and the mesangial, endocapillary, segmental sclerosis, and crescent parameters. Additional potential predictive histopathologic features incorporated by the deep learning predictive score included (1) inflammation within areas of interstitial fibrosis and tubular atrophy and (2) hyaline casts.

Conclusions
The deep learning approach was noninferior to manual histopathologic reporting and considered prognostic features not currently included in MEST-C assessment.

Podcast
This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_07_26_CJN01760222.mp3.
Tanggung Jawab Rumah Sakit terhadap Pemenuhan Hak Pasien pada Masa Pandemi COVID-19
Authors: Kartikawati Dwi Ratna 
Published: July 2022

Hospitals are one of the facilities that support efforts in handling Covid-19. Hospitals provide the basis for medical services. The implementer of medical services has many actors in it, so the hospital as part of the facility needs to be legally clarified. Indonesia has issued regulations contained in Law Number 44 of 2009 concerning Hospitals. This study aims to see how the provisions of the legislation in Indonesia accommodate the position of hospitals in handling Covid-19. The analytical method used is qualitative analysis that uses a literature study approach in seeing the development of the number of legal sources. With this method, a number of specific descriptions are obtained that can provide information on how the duties, functions, obligations, and quality standards are supported by legislation for hospitals to be able to optimize medical services. The results of this study indicate that during the Covid-19 pandemic, hospitals have a great responsibility in improving services for patients infected with Covid-19. Various laws and regulations have explained how the central position of hospitals that need to improve medical services during the Covid-19 pandemic is still happening. Good medical services and in accordance with the rules will be a good foundation for handling the Covid-19 pandemic.
Keywords: Hospital; Medical Services; Law: Covid-19
Abstrak
Rumah sakit menjadi salah satu dari fasilitas yang mendukung upaya dalam penanganan Covid-19. Rumah sakit memberikan dasar untuk pelayanan medis. Pelaksana dari pelayanan medis memiliki banyak aktor didalamnya, sehingga rumah sakit sebagai bagian dari fasilitas perlu diperjelas kedudukan secara hukum. Indonesia telah mengeluarkan peraturan yang tertuang dalam Undang-Undang Nomor 44 Tahun 2009 Tentang Rumah Sakit. Penelitian ini bertujuan untuk melihat bagaimana kapasitas peraturan perundang-undangan di Indonesia mengakomodir posisi rumah sakit pada penanganan Covid-19. Metode analisis yang digunakan adalah analisis kualitatif yang menggunakan pendekatan studi pustaka dalam melihat perkembangan sejumlah sumber hukum. Dengan metode ini maka didapatkan sejumlah deskripsi khusus yang dapat memberikan informasi mengenai bagaimana tugas, fungsi, hak, kewajiban dan standar mutu yang didukung peraturan perundang-undangan bagi rumah sakit untuk mampu mengoptimalkan pelayanan medis. Hasil penelitian ini menunjukan bahwa pada masa pandemic Covid-19 rumah sakit memiliki tanggung jawab yang besar dalam meningkatkan pelayanan untuk pasien yang terinfeksi Covid-19. Dalam berbagai peraturan perundang-undangan telah dijelaskan bagaimana posisi sentral rumah sakit yang perlu untuk meningkatkan pelayanan medis selama pandemi Covid-19 masih terjadi. Pelayanan medis yang baik dan sesuai dengan aturan akan menjadi landasan baik bagi penanganan pandemi Covid-19.
Factors Affecting Employees' Susceptibility to Cyber-Attacks
Authors: Boritz J. Efrim , Ge Chan (Jessie) , Patterson Katharine 
Published: July 2022

ABSTRACT
We examine factors associated with employees' susceptibility to phishing attacks in a professional services firm and a financial services firm (bank). We measure three dimensions of suspicion (skepticism, suspicion of hostility, and interpersonal trust), and three cognitive traits (risk-taking propensity, cognitive [inhibitory] control, and social cognition), while controlling for demographic and work context factors. We find that these traits interact in complex ways in determining individuals' susceptibility to phishing attacks. Bank employees are more susceptible to being phished than professional services firm employees, but within the bank, the employees with professional certificates are less susceptible to phishing attacks than other bank employees. Also, employees with self-reported responsibility for cybersecurity are less likely to be phished. These findings could be used to create a screening tool for identifying which employees are particularly susceptible to phishing attacks, to tailor training, or redesign jobs to counter those susceptibilities and reduce security risk.
PERANCANGAN SIGN SYSTEM MASJID RAYA SUMATERA BARAT
Authors: Fauzan Muhammad , Heldi Heldi 
Published: July 2022

The construction of mosques in West Sumatra shows a rapid progress, the Grand Mosque of West Sumatra has become one of the landmark in Padang City as the capital of West Sumatra Province, it is located in a strategic location in the city of Padang, nevertheless the sign system infrastructure in the mosque layout has not optimal yet, including Identification Signs, Information Signs, Direction Signs and Regulatory Signs as directions sign, for serving the activities of pilgrims whovisit the area of West Sumatra Grand Mosque. The purpose of the sign system design for the Grand Mosque of West Sumatra is targgetted to effective indoor and outdoor area, informative and communicative for the visitors. The design method is the Black Box method, which is a main design process that is located in the thinking process through free exchange of ideas and then systematically transformed. Data collection is obtained through observation, interview and documentation. The design analysis approach used is the 5W + 1H analysis. The main design of this media is identification signs, information signs, direction signs and regulatory signs. Meanwhile, the supporting media consists of umbrella, caps, prayer beads, al-quran reciting places, prayer mats, clocks, and mats / footwear.Key words : sign system, landmark, indoor, autdoor
Perancangan Media Promosi QB Fried Chicken Melaui Media Instagram
Authors: Ichsan Muhammad , Budiwirman Budiwirman 
Published: July 2022

Ilmu teknologi dan informasi terus berkembang dan tidak pernah berhenti sejalan dengan kebutuhan masyarakat, dengan begitu tujuan dari perancangan promosi QB Fried Chicken untuk mempromosikan brand dan mendapatkan media yang tepat untuk digunakan sebagai media promosi dari QB Fried Chicken. Brand QB Fried Chicken ini dipromosikan melalui sosial media instagram dengan jumlah postingan 24 feed. Target promosi QB Fried Chicken ini yaitu kepada pengguna Instagram yang merupakan kalangan remaja dan masyarakat umum.Metode perancangan yang digunakan untuk merancang media promosi QB Fried Chicken ini dengan menggunakan metode glass berdasarkan data-data yang diperoleh melalui observasi dan wawancara kepada Owner QB Fried Chicken. Data dianalisis dengan model SWOT, yaitu strengths (kekuatan), opportunities (peluang), weaknesses (kelemahan), threat (ancaman).Hasil perancangan media promosi QB Fried Chicken selain konten Instagram sebagai media utamanya, promosi ini didukung oleh media pendukung untuk memperkenalkan brand kepada target audien yaituiiiiposter, x-banner, masker, facebook/instagram ads, lanyard, kartu nama dan manual/guidline book.
Associations between digital amnesia, sleep disorders and somatic symptoms among youth
Authors:   Department of Psychology, Periyar University, Salem, India, Savarimuthu James Robert , Subramanian Kadhiravan ,   Department of Psychology, Periyar University, Salem, India
Published: July 2022

Digitalization has accelerated and improved the accuracy of information processing. It has changed society into a connected world. The spread of COVID-19 changed individuals' daily routines drastically over the past two years, especially among youth due to the temporary closure of colleges and universities. The usage of digital devices by youth has increased as a result of online learning platforms, leading to digital reliance and a negative impact on their sleep quality. Therefore, this study aimed to investigate (1) the association between digital amnesia, sleep disorders and somatic symptoms, (2) the difference in digital amnesia based on the demographic categories, (3) the effect of digital amnesia and sleep disorders on somatic symptoms. A cross-sectional study was conducted on 326 young people aged 18 to 25 years. Data was collected from participants using the Digital Amnesia Scale, Sleep Disorders Symptom Checklist (SDS-CL-17), and Somatic Symptom Disorder-B Criteria Scale (SSD-12). There was a significant association between digital amnesia, sleep disorders, and somatic symptoms among youth. Youth differed significantly in their digital amnesia based on their demographic categories such as gender and family type. Somatic symptoms among youth were significantly impacted by digital amnesia and sleep disorders. Youth could overcome their digital amnesia by utilizing digital devices effectively. Youth could also be sensitized about adverse effects of digital amnesia. Taking a digital break could help them improve their quality of sleep and reduce somatic symptoms.
Utility of cardiac MRI to diagnose myocardial ischemia and fibrosis in dogs with cardiomegaly secondary to myxomatous mitral valve disease
Authors: Clark William A. , Winter Randolph L. , Aarnes Turi K. , Green Eric M. , Mikrut Katarzyna , Ruz Patrick , Addison Daniel , Rhinehart Jaylyn D. , Schober Karsten E. , Friel Harry T. 
Published: July 2022

Abstract

OBJECTIVE
To assess whether cardiac MRI or various biomarkers can be used to detect myocardial ischemia and fibrosis in dogs with cardiomegaly secondary to myxomatous mitral valve disease (MMVD).

ANIMALS
6 dogs with cardiomegaly secondary to naturally occurring stage B2 MMVD being treated only with pimobendan with or without enalapril and 6 control dogs with no cardiac disease. All dogs were ≥ 5 years old with no systemic illness.

PROCEDURES
Serum cardiac troponin I and concentrations were measured, and dogs were anesthetized for cardiac MRI with ECG-triggered acquisition of native T1- and T2-weighted images. Gadolinium contrast was administered to evaluate myocardial perfusion and late gadolinium enhancement (LGE). Mean T1 and T2 values and regions of LGE were measured with dedicated software. Extracellular volume (ECV) was estimated on the basis of Hct and T1 values of myocardium and surrounding blood. Subjective analysis for myocardial perfusion deficits was performed.

RESULTS
Dogs with MMVD had significantly (P = .013) higher cardiac troponin I concentrations than control dogs, but galectin-3 concentrations did not differ (P = .08) between groups. Myocardial fibrosis was detected in 4 dogs with MMVD and 3 control dogs; no dogs had obvious myocardial perfusion deficits. Native T1 and T2 values, postcontrast T1 values, and ECV values were not significantly different between groups (all P > .3).

CLINICAL RELEVANCE
Results suggest that some dogs with cardiomegaly secondary to MMVD may not have clinically relevant myocardial fibrosis.
Small animal general practitioners discuss nutrition infrequently despite assertion of indication, citing barriers
Authors: Alvarez Elizabeth E. , Schultz Kelly K. , Floerchinger Amanda M. , Hull Jennifer L. 
Published: July 2022

Abstract

OBJECTIVE
To determine what perceived factors prevent small animal general practitioners from discussing pet nutrition with clients during healthy and sick pet appointments.

SAMPLE
403 veterinarians in small animal general practice.

PROCEDURES
An online survey was used to gather veterinarians’ opinions on perceived barriers, knowledge levels, and confidence regarding pet nutrition discussions.

RESULTS
Reported barriers to discussing nutrition during healthy pet appointments included client resistance to changing brand (149/359), time constraints (146/359), misinformation online (138/359), and difficulty keeping up with products (132/359). Reported barriers to discussing nutrition during sick pet appointments included client cost concerns (101/349), pet not accepting new food (99/349), and time constraints (83/349). Veterinarians reported discussing nutrition less during healthy pet appointments, compared to sick pet appointments, and were significantly less confident with their knowledge regarding nontherapeutic food, compared to therapeutic food. Veterinarians also reported that they perceived conversations about therapeutic foods to be more positive than conversations about nontherapeutic foods, and veterinarians with more years in practice more commonly reported that there was nothing that would dissuade them from discussing nutrition. Veterinarians who reported barriers to discussing nutrition described a need for resources and reliable information for health-care teams and clients.

CLINICAL RELEVANCE
Results demonstrated a substantial gap between veterinarians’ assertion that nutrition conversations are indicated and the frequency with which they discuss nutrition during appointments. Veterinarians reported that they felt their nutrition conversations were frequently positive; therefore, it is important to overcome barriers to engage with clients about pet nutrition.
Mathematical Modeling Thoughts and Methods Based on Fractional Differential Equations in Teaching
Authors: Chen Yingwei , Chang Zhikui , Mohamed Hamdy 
Published: July 2022

Abstract
This article combines ordinary differential equations’ theoretical and practical characteristics to explore how to integrate mathematical modeling ideas in teaching materials and teaching methods. We apply the fractional differential equation algorithm to the mathematical modeling of Terman diffusion. At the same time, the article proposes a framework for obtaining accurate solutions of a class of nonlinear Sinai stochastic models with power-law diffusion through Mittag-Leffler function transformation. In this way, we have obtained great explicit and accurate solutions of some important Mittag-Leffler function power-law diffusion physical processes.
The Uniqueness of Solutions of Fractional Differential Equations in University Mathematics Teaching Based on the Principle of Compression Mapping
Authors: Zhang Dong , Yang Li , Arbab Ahmed 
Published: July 2022

Abstract
This paper uses the principle of compressed mapping to discuss the existence and uniqueness of the explicit finite difference method for the fractional diffusion equation with time delay. The Laplace transform method obtains the necessary expression form of the solution. At the same time, the existence theorem and the existence and uniqueness theorem of the solution to the boundary value problem is established. Finally, an example is given to verify the correctness of the conclusion. The experimental results show that the parallel algorithm proposed in this paper agrees with the exact solution.
Didactic model of the “Chemistry training process” system when applying semiotic approaches
Authors: Vasileva-Tcankova Radostina Strahilova 
Published: July 2022

Abstract
The present development uses the modeling method described in the literature and proposed a new didactic, functional model of the “chemistry training” system in the application of semiotic approaches: semantic, pragmatic, and syntactic. The main objective of creating such a model is to demonstrate the specific activities of the subjects “teacher” and “pupil” when familiarizing themselves with chemical symbols and their study by students. The added new components in the model “Technology of chemistry training”, “Semiotic information” and the clarified links between them, lead to a complete change in the way the described system works. The developed didactic model makes it easy to guess the relationship between a new learning situation and a result, that is, to predict an unknown process or phenomenon. This model makes it possible to formulate a reasoned hypothesis of the study.
Experimental study on the impact of semiotic approaches on students’ knowledge of chemical symbolism in seventh and eighth grade
Authors: Vasileva-Tcankova Radostina Strahilova 
Published: July 2022

Abstract
Experimental work in its milestones is carried out according to the following algorithm:
1. Development of a methodological system, including additional training content in Chemistry and Environmental Protection for the seventh and eighth grades /purposefully selected urological fragments, exercises and summary lessons/, in which the subject of study is chemical symbolism, with the application of semiotic approaches - semantic, pragmatic and syntactic.
2. Conducting a pedagogical experiment to establish the effectiveness of the developed methodological system.
3. Analysis of the results of the pedagogical experiment.
The pedagogical experiment is included in the work as the main method of researching the influence of semiotic approaches on the knowledge and skills of students for the proper use of chemical symbols. By conducting a pedagogical experiment, it has been shown that the use of the three semiotic approaches in Chemistry and environmental training facilitates and improves the understanding of the complex meaning of chemical symbols by students. The analysis of the results of the written control works in the seventh and eighth grades shows the existence of significant qualitative differences in students’ knowledge of how to identify chemical objects and the degree of skills formed to reveal the information embedded in chemical symbols.
Global Ecological Problems of Modern Society
Authors: Vasileva-Tcankova Radostina Strahilova 
Published: July 2022

Abstract
At the modern stage of society’s development, ecology is seen as a complex, interdisciplinary science of the relationships of organisms, society and the environment. Ecology is a science that studies the regularities of the life of organisms in their natural living environment and taking into account the changes made in this environment as a result of human activity. In recent years, the mass media has been constantly talking and writing about ecology, environmental problems related to anthropogenic activity. The person with his activity is heavily polluted and continues to negatively affect the environment at increasing rates. This reckless behavior of humans and the whole of society threatens planet Earth with imminent doom, no less than the use of nuclear weapons. Only from the positions of modern science ecology is it possible to develop issues related to the prudent use of the natural resources of the biosphere and the fight against changes brought about in nature by human activity in the age of the scientific and technical revolution. For this reason, it is necessary to seek information and a solution to the key current problems: What are the main pollutants of the atmosphere, hydrosphere and lithosphere? What is the origin of these substances? How does their impact affect life on Earth? What approaches and methods are needed to prevent environmental pollution?
Study of corrosion inhibition of aluminum in acidic media by pineapple crown extract
Authors: Jano Albana , Lame Alketa , Kokalari Efrosini , Bicaku Elidona 
Published: July 2022

Abstract
The efficiency of pineapple crown extract as corrosion inhibitor of aluminum in 1M H2SO4 acidic medium was tested using weight loss and potentiodynamic methods, at varied inhibitor concentration. Through the data from the weight loss method there was calculated the corrosion rate and pineapple crown extract’s inhibition on aluminum corrosion in acidic medium, at varied inhibitor concentration. Also, with the data obtained from the potentiodynamic method, the polarization curves and Tafel tangents were constructed, while calculating the corrosion rate and inhibition efficiency of pineapple crown extract. Experimental measurements showed that pineapple crown extract acts as a mixed inhibitor and the inhibition efficiency increases with increasing the extract concentration.
Vehicles Loads Influence on Box Girder Bridges
Authors: Velniciuc Adi-Mihăiţă , Bujoreanu Carmen 
Published: July 2022

Abstract
Box girders bridges are widely used in modern highway systems because of their efficiency and attractive appearance. Vehicles loads represent one of the mainly factors that influence the structure reliability of the box girders bridges. Calculation of bridge resistance with different stress due to vehicles loads as close as possible to the real ones constitute the premise of a correct design of the structure. The goal of this study is to realize a description regarding the behavior of box girders bridges analyzed under different vehicles loads conditions. Nowadays the finite element methods (FEM) are highly used because of their capacity to simulate and evaluate the structure efficiency of bridges. By highlighting where the maximum stress values appear we will help the constructor to avoid dangerous sections. Based on this study, we will outline future research directions, aiming to identify and improve the mechanical and strength characteristics of box girders bridges.