bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study
Authors: Shara Nawar , Anderson Kelley M , Falah Noor , Ahmad Maryam F , Tavazoei Darya , Hughes Justin M , Talmadge Bethany , Crovatt Samantha , Dempers Ramon 
Published: January 2022

Background
Health care data are fragmenting as patients seek care from diverse sources. Consequently, patient care is negatively impacted by disparate health records. Machine learning (ML) offers a disruptive force in its ability to inform and improve patient care and outcomes. However, the differences that exist in each individual’s health records, combined with the lack of health data standards, in addition to systemic issues that render the data unreliable and that fail to create a single view of each patient, create challenges for ML. Although these problems exist throughout health care, they are especially prevalent within maternal health and exacerbate the maternal morbidity and mortality crisis in the United States.

Objective
This study aims to demonstrate that patient records extracted from the electronic health records (EHRs) of a large tertiary health care system can be made actionable for the goal of effectively using ML to identify maternal cardiovascular risk before evidence of diagnosis or intervention within the patient’s record. Maternal patient records were extracted from the EHRs of a large tertiary health care system and made into patient-specific, complete data sets through a systematic method.

Methods
We outline the effort that was required to define the specifications of the computational systems, the data set, and access to relevant systems, while ensuring that data security, privacy laws, and policies were met. Data acquisition included the concatenation, anonymization, and normalization of health data across multiple EHRs in preparation for their use by a proprietary risk stratification algorithm designed to establish patient-specific baselines to identify and establish cardiovascular risk based on deviations from the patient’s baselines to inform early interventions.

Results
Patient records can be made actionable for the goal of effectively using ML, specifically to identify cardiovascular risk in pregnant patients.

Conclusions
Upon acquiring data, including their concatenation, anonymization, and normalization across multiple EHRs, the use of an ML-based tool can provide early identification of cardiovascular risk in pregnant patients.
Toxicity of Legiayu incense as Insecticide and Larvicide Against Aedes aegypti Mosquitoes Mortality
Authors: I Made Dwi Mertha Adnyana  , Ni Luh Gede Sudaryati  , Israil Sitepu  
Published: January 2022

Community-based DHF vector control has been implemented in Indonesia but has not yet obtained optimal results. Thus, in the community choosing synthetic insecticides to control disease vectors. However, irregular and excessive use of insecticides has a toxic effect and resistance to mosquitoes. Burning mosquito coils and incense containing synthetic dyes and fragrances have the potential to reduce environmental quality. Therefore, this research was conducted to analyze the toxicity of Legiayu incense as an insecticide and larvicide against Aedes aegypti mosquito mortality. The research design is experimental with a completely randomized design. Testing was conducted by providing exposure to smoke and ash of Legiayu incense five times on twenty-five Aedes aegypti mosquitoes. Statistical analysis used one-way ANOVA, LSD, and probit test. The test result as insecticide value (p=0.000) effective exposure for 20 minutes with a durability of 6 hours. The test result as larvicide value (p=0.000) effective exposure for 24 hours. Thus, exposure toismoke and ash of iLegiayuiincense has a very noticeable effect on the mortality of Aedes aegypti mosquitoes. Exposureito Legiayu incense smoke obtained an LT50 value of 0,9012 ≤ 5 (super toxic category) with a time of 15 minutes 39 seconds, coefficient determination of 99.24%, and correlation coefficient of 99.62% while exposure to the ash of Legiayu incense obtained LT50 value of 0,05896 ≤ 5 (super toxic category) with time 19 hours 15 minutes 34 seconds, coefficient determination and correlation coefficient of 100%. Histopathological test results showed that Legiayu incense smoke did not cause tissue degeneration, necrosis, hyperplasia, and metaplasia in the lung tissue of mice (mus musculus) within a period of 12 weeks. Thus, Legiayu incense is effective as insecticides and larvicides against Aedes aegypti mosquitoes. Legiayu incense has potential substitute for mosquito repellent coils, temephos, and synthetic incense circulating in the market.
Aligning Software Engineering and Artificial Intelligence With Transdisciplinary
Authors: Mambo Wangai 
Published: January 2022

Study examined AI and SE transdisciplinarity to find ways of aligning them to enable development of AI-SE transdisciplinary theory. Literature review and analysis method was used. The findings are AI and SE transdisciplinarity is tacit with islands within and between them that can be linked to accelerate their transdisciplinary orientation by codification, internally developing and externally borrowing and adapting transdisciplinary theories. Lack of theory has been identified as the major barrier toward towards maturing the two disciplines as engineering disciplines. Creating AI and SE transdisciplinary theory would contribute to maturing AI and SE engineering disciplines. Implications of study are transdisciplinary theory can support mode 2 and 3 AI and SE innovations; provide an alternative for maturing two disciplines as engineering disciplines. Study’s originality it’s first in SE, AI or their intersections.
Tekoäly, koneoppiminen ja teknologinen murros:
Authors: Vartiainen Henriikka , Tedre Matti , Jormanainen Ilkka , Kahila Juho , Valtonen Teemu , Toivonen Tapani 
Published: January 2022

Tekoälyn ja erityisesti uudet koneoppimisen tekniikat ovat teknologisen murroksen keskeisiä ajureita. Tänä päivänä koneoppiminen on myös yhä enemmän sulautumassa osaksi kehollista ja materiaalista maailmaa sekä vuorovaikutusta. Antureiden, verkkoyhteyksien ja tietokoneohjelmistojen kautta rakennukset, esineet ja tekstiilit ovat muuttumassa älykkäiden esineiden ja toimintojen verkostoiksi. Virtuaalisen, materiaalisen ja kehollisuuden uudenlainen kohtaaminen tarjoaa myös ennennäkemättömiä mahdollisuuksia sekä haasteita koneoppimisen sekä datalähtöisen suunnittelun ja innovoinnin tukemiseen kouluopetuksessa. Tämän artikkelin tavoitteena on rakentaa näkökulmia datatoimijuuteen sekä datalähtöiseen design-ajatteluun koneoppimisen muovaamassa maailmassa. Artikkeli esittelee digitaalisen, materiaalisen sekä kehollisuuden uudenlaisia mahdollisuuksia sekä riskejä, joka tuo koneoppimisen ajamaan murrokseen liittyviä näkökulmia osaksi käsityön ja teknologiakasvatuksen tulevaisuudesta käytävää tieteellistä ja julkista keskustelua.

Artificial intelligence, machine learning, and technological transformation: Towards data agency and design skills for the future
Abstract
Artificial intelligence, and especially new machine learning technologies, are key drivers of technological breakthroughs. Today, machine learning is also increasingly merging into the physical and material world as well as into social interaction. Buildings, artifacts, and textiles are transforming into networks of smart objects and activities through sensors, network connectivity, and computer software. These novel encounters of virtual, material, and bodily interactions also offer unprecedented opportunities and challenges to enhance understandings of machine learning and data-driven design in school education. This article aims to build perspectives on data agency and data-driven design needed in the age of machine learning. It also provides perspectives on the blurring boundaries of virtual, material, and physical worlds and in a manner that brings the breakthrough of machine learning into the scientific and public discussion about the future of craft and technology education.
Keywords: artificial intelligence, machine learning, data-driven design, technology education, skills for the future
Formulasi dan Evaluasi Stabilitas Fisik Sediaan Gel Face Scrub Ekstrak Cucumis sativus L. dan Ampas Kelapa
Authors: Yuniarsih Nia , Meilinda Sari Annisa 
Published: January 2022

Kulit wajah adalah bagian utama tubuh, yang memperlihatkan kesehatan seseorang. Kulit wajah yang terlihat kusam dapat disebabkan karena berbagai macam faktor, salah satunya yaitu adanya penumpukkan sel kulit mati. Salah satu exfoliate cleanser dalam kategori bahan pembersih dan sebagai penghalus kulit disebut scrub. Penggunaan scrub secara teratur menjadikan kulit tampak halus karena sel kulit mati yang terangkat sehingga mengekspos sel-sel kulit baru. Ampas kelapa memiliki kandungan serat kasar 15,07 % dengan adanya kandungan serat kasar maka ampas kelapa dapat dijadikan scrub yang memiliki butir kasar sehingga dapat mengangkat sel kulit mati. Mentimun merupakan salah satu tanaman yang memiliki aktivitas antioksidan karena adanya kandungan senyawa golongan fenolik seperti flavonoid dan asam fenolat. Penelitian ini bertujuan untuk melakukan formulasi gel face scrub ekstrak Mentimun dengan ampas kelapa dan dilanjut dengan evaluasi stabilitas fisik. Metode yang digunakan dalam penelitian ini adalah stabilitas dipercepat yang dilakukan selama 3 bulan penyimpanan dalam tiga keadaan yakni suhu ruang, dibawah sinar matahari, dan suhu 40ºC. Hasil pengujian stabilitas fisik sediaan gel face scrub ekstrak Cucumis sativus.,L dan ampas kelapa yaitu pada pengujian organoleptik berbentuk gel, tidak berbau, dan berwarna bening putih. Hasil nilai pH dan nilai viskositas membuktikan bahwa sesuai dengan parameter masing-masing, kemudian hasil tersebut dilanjutkan pengolahan data statistik menggunakan ANOVA Post Hoc Test. Kesimpulan yang didapat yaitu sediaan gel face scrub ekstrak Cucumis sativus.,L dan ampas kelapa stabil pada suhu ruang, dibawah sinar matahari, dan pada suhu 40ºC
Exposure to particulate matter: a brief review with a focus on cardiovascular effects, children, and research conducted in Turkey
Authors: Elkama Aylin , Şüküroğlu Ayça Aktaş , Çakmak Gonca 
Published: January 2022

Abstract
Exposure to environmental particulate matter (PM), outdoor air pollution in particular, has long been associated with adverse health effects. Today, PM has widely been accepted as a systemic toxicant showing adverse effects beyond the lungs. There are numerous studies, from those in vitro to epidemiological ones, suggesting various direct and indirect PM toxicity mechanisms associated with cardiovascular risks, including inflammatory responses, oxidative stress, changes in blood pressure, autonomic regulation of heart rate, suppression of endothelium-dependent vasodilation, thrombogenesis, myocardial infarction, and fibrinolysis. In addition to these and other health risks, considerations about air quality standards should include individual differences, lifestyle, and vulnerable populations such as children. Urban air pollution has been a major environmental issue for Turkey, and this review will also address current situation, research, and measures taken in our country.
Ortho-substituted PCB 153: effects in CHO-K1 cells
Authors: Miletić Marina , Murati Teuta , Šimić Branimir , Bilandžić Nina , Brozović Anamaria , Kmetič Ivana 
Published: January 2022

Abstract
Non-planar di-ortho-substituted PCB 153 (2,2’,4,4’,5,5’-hexachlorobiphenyl), one of the most abundant PCB congeners in the environment and in biological and human tissues, has been identified as potential endocrine disruptor affecting the reproductive and endocrine systems in rodents, wildlife, and humans. The aim of this study was to gain a deeper insight into its mode/mechanism of action in Chinese hamster ovary K1 cells (CHO-K1). PCB 153 (10–100 μmol/L) inhibited CHO-K1 cell proliferation, which was confirmed with four bioassays (Trypan Blue, Neutral Red, Kenacid Blue, and MTT), of which the MTT assay proved the most sensitive. PCB 153 also induced ROS formation in a dose-dependent manner. Apoptosis was seen after 6 h of exposure to PCB 153 doses ≥50 μmol/L, while prolonged exposure resulted in the activation of the necrotic pathway. PCB 153-induced disturbances in normal cell cycle progression were time-dependent, with the most significant effects occurring after 72 h.
Characteristics of unintentional ingestion of oral non-steroidal anti-inflammatory drugs and analgesics in preschool children
Authors: Babić Željka , Kordić Nikolina Benco , Rešić Arnes , Turk Rajka 
Published: January 2022

Abstract
We characterised accidental ingestion of non-steroidal anti-inflammatory drugs and non-opioid analgesics in children aged 0–5 years between 2009 and 2019 by analysing records of telephone consultations with the Croatian Poison Control Centre (CPCC) and cases treated at the Children’s Hospital Zagreb (CHZ). Among the total of 466 identified cases (411 from CPPCC records and 55 from CHS hospital records), the most frequently ingested drugs were ibuprofen (47 %), paracetamol (20 %), ketoprofen (15 %), and diclofenac (11 %). In 94 % of the cases unsupervised children ingested the drug left within their reach. The remaining 6 % were dosing errors by parents or caregivers and involved liquid formulations as a rule. Our findings can serve as real-life examples informing preventive measures.
Seasonal distribution of multiclass pesticide residues in the surface waters of northwest Croatia
Authors: Fingler Sanja , Mendaš Gordana , Dvoršćak Marija , Stipičević Sanja , Vasilić Želimira , Drevenkar Vlasta 
Published: January 2022

Abstract
As part of our OPENTOX project, we evaluated the incidence and mass concentrations of multiclass pesticide residues in 23 river/stream water samples collected in urban and agricultural areas of northwest Croatia at various points of the pesticide application season in 2015. The study included 16 compounds of five herbicide classes and seven compounds of three insecticide classes. Pesticide residues were accumulated from water by solid-phase extraction and analysed using high performance liquid chromatography with UV-diode array detection and/or gas chromatography-mass spectrometry. Herbicide residues were more common than the insecticide ones, and, as expected, they peaked in the middle of the application season. Metolachlor showed the highest concentrations and was found in 91 % of all samples, followed by terbuthylazine, found in 70 % of the samples. The highest total mass concentration of detected pesticides was measured in the water samples of the Krapina (3992 ng/L) and Sutla (3455 ng/L) collected in rural areas with intensive agriculture. Our findings strongly speak in favour of continued monitoring of surface waters and possibly extending the list of priority water pollutants.
Cytotoxic, genotoxic, and oxidative stress-related effects of lysergic acid diethylamide (LSD) and phencyclidine (PCP) in the human neuroblastoma SH-SY5Y cell line
Authors: Jurič Andreja , Zandona Antonio , Lovaković Blanka Tariba , Rašić Dubravka , Pizent Alica , Kozina Goran , Katalinić Maja , Vrdoljak Ana Lucić , Karačonji Irena Brčić 
Published: January 2022

Abstract
Lysergic acid diethylamide (LSD) is a classic hallucinogen, widely abused for decades, while phencyclidine (PCP) has increased in popularity in recent years, especially among the adolescents. Very little is known about the general toxicity of these compounds, especially about their possible neurotoxic effects at the cell level. The aim of this study was to address these gaps by assessing the toxic effects of 24-hour exposure to LSD and PCP in the concentration range of 0.39–100 μmol/L in the human neuroblastoma SH-SY5Y cell line. After cell viability was established, cells treated with concentrations that reduced their viability up to 30 % were further subjected to the alkaline comet assay and biochemical assays that enable estimation of oxidative stress-related effects. Treatment with LSD at 6.25 μmol/L and with PCP at 3.13 μmol/L resulted with 88.06±2.05 and 84.17±3.19 % of viable cells, respectively, and led to a significant increase in primary DNA damage compared to negative control. LSD also caused a significant increase in malondialdehyde level, reactive oxygen species (ROS) production, and glutathione (GSH) level, PCP significantly increased ROS but lowered GSH compared to control. Treatment with LSD significantly increased the activities of all antioxidant enzymes, while PCP treatment significantly increased superoxide dismutase (SOD) and glutathione peroxidase (GPx) but decreased catalase (CAT) activity compared to control. Our findings suggest that LSD has a greater DNA damaging potential and stronger oxidative activity than PCP in SH-SY5Y cells.
Prevalence of nonsyndromic hypodontia in a south-east Transylvanian region.
Authors: Suciu Ilinca Elena , Zalana Alexandru , Hack Marius , Păcurar Mariana 
Published: January 2022

Abstract
Introduction. Clinicians claim that the prevalence of hypodontia has skyrocketed in recent years. However, there is no clear evidence whether it is really a change in dentition in Homo Sapiens or a purely hypothetical observation, due to the advanced modern technology used in the diagnosis of dento-maxillary anomalies.
The aim of this study was to establish the prevalence and distribution of nonsyndromic hypodontia in young patients from the South-East Transylvanian region of Romania.
Material and methods. A number of 325 dental charts were selected. The patients who needed orthodontic treatment were treated in the Pedodontics Department and Orthodontic Department of UMFST “George Emil Palade“ Targu Mures and two private dental offices during 2017-2019. The age of the patients was between 12 and 25 at the moment when the clinical and paraclinical examination were performed.
Results. From a total number of 275 cases investigated, 78 patients were diagnosed with hypodontia in permanent dentition, not taking into consideration the third molars. Hypodontia’s prevalence is 6.47% for patients which seek orthodontic treatment, without taking into consideration the third molars. This value is found in the range of 2.8%-11.3% reported in studies in the literature. The present study showed that hypodontia affects a greater proportion of females (6.83%) than males (5.74%), without statistically significant differences.
Conclusions. The prevalence of non-syndromic hypodontia in permanent dentition, compared to the total number of patients who requested orthodontic treatment, is 6.47%, being higher than the data reported in the literature of our country, but falls within the range reported in the international literature in general.
Nanostructured surface dental implants, a modern solution for the treatment of patients with chronic systemic diseases.
Authors: Suciu Mircea , Budei Dragoş Vladimir , Berneanu Florentin Daniel 
Published: January 2022

AbstractIntroduction. In modern dentistry the oral rehabilitation of patients with the help of dental implants has a very high success rate. However, the problem is the situation of patients with serious chronic diseases in which the insertion of dental implants is problematic or dental procedures can complicate or aggravate the patients’ disease.Case report. We presented the case of a patient with associated chronic diseases who benefited from the insertion of implants with a nanostructured surface. The nanotube surface of the dental implant has been loaded with anti-inflammatory drugs to promote healing and stimulate the process of osteogenesis.Conclusions. Within the limitations of this study, we consider the therapy with avant-garde nanostructured dental implants to represent a viable treatment option for patients with a medical history with complicated chronic diseases.
How Does Destination Image Evolve? Introducing the Co-creation of the Destination Image Approach
Authors: Yılmaz Yıldırım 
Published: January 2022

Abstract
Although destination image is one of the most studied topics in tourism literature, little is known about how it is formed in the minds of people and how destination image evolves through destination life cycle stages. Thus, the purpose of this paper is to present a theoretical approach to the destination image formation process. In this conceptual paper, the co-created destination image (CoDI) approach was introduced. Co-creation and tourism area life cycle (TALC) approaches were used as the theoretical frameworks. The main elements of CoDI are interaction value, self-regulated image, and the co-creation process. Twelve CoDIs were developed for the four main stages of the TALC model—namely, exploration, development, stagnation, and decline. The CoDI approach shows that destination image formation evolves throughout the destination life cycle. Co-creation of the destination image is first introduced in this paper, which is used to explain how the image of destinations evolves.
Circular Economy in Tourism and Hospitality: Analysis of Scientific Production on the Theme
Authors: da Silva Paula Maines , da Silva Luciana Maines , Echeveste Simone Soares 
Published: January 2022

Abstract
In studies on tourism and hospitality, the sustainable aspect has been continuously treated. A current approach that expands the concept of sustainability is the circular economy, considered a closed economic model that aims to maintain the most significant utility and value of products, components, and materials at all times. This issue has been addressed not only in the productive sphere but also in the area of services. In this sense, the objective of this research was to understand how the circular economy is being treated in the tourism and hospitality sectors. A review of published articles accessed across four databases—Spell, CAPES Portal, SciELO, and Web of Science—was carried out. The main results indicate that studies in this area are still incipient, with a greater number of publications starting in 2019; European studies prevail; the publications are still theoretical, with little empirical research; and address the benefits of the circular economy, and the economic, social, and environmental aspects.
Data Processing and Legal Protection in Contracts in the Technologically Innovative Tourism Sector
Authors: Tassikas Apostolos D. 
Published: January 2022

Abstract
This study aims to demonstrate that technological innovation in tourism represents a paradigm shift in law and is also changing the competition between tourist destinations. Technological innovation in the tourism sector is increasing the volume of data processing and calls for greater and more consistent (detailed) legal protection to combat dangers to private life, such as exclusion from ‘digital life’. The topics covered by the study include data processing in hospitality contracts, the enrichment of guest profiles, newsletter marketing, guest passes or discount cards in travel package contracts, and the question of whether data processing is necessary for fulfilling smart tourism contracts. The theoretical framework is based on contract and data protection law principles relating to purpose, data avoidance and transparency, the privacy rule by design and by default. The methodological approach is based on a careful balancing and weighing of the legal goods and values, and an assessment of the normative parameters. This research is responding to the need to develop appropriate policies on transformative innovations and is addressing different concerns relating to the adoption and diffusion of technological trends in tourism.