bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Different Types of Social Support in Caregivers of People with Dementia
Authors: Antelo Paula , Espinosa Pablo 
Published: October 2022

Being a caregiver for a person with dementia has negative health consequences, like depression, stress, anxiety, and burden. Consequently, it is important that caregivers receive social support and social resources during the trajectory of the disease. This study analyzes how different types of social resources impact caregivers’ well-being. A cross-sectional sample of 260 caregivers was divided into groups, depending on the social resources they had access to. Namely, social media (N = 157), day-care centers (N = 40) or residential centers (N = 63). Social support, isolation, burden, coping strategies, and satisfaction measures were administered to participants, and groups were compared using ANOVA and SEM models. Help-seeking and social support received through social resources predicted satisfaction and caregivers’ burden. Formal resources positively influence care providers and their absence diminishes the impact of social support on perceived burden. This research reflects the importance of formal resources in the lives of caregivers and the benefits they generate throughout the course of the pathology. Supporting caregivers and bringing the social resources closer to them indirectly improves the informal response offered to people with dementia.
Optimal operation of a single unit in a pumping station based on a combination of orthogonal experiment and 0-1 integer programming algorithm
Authors: Wang Shiwen , Cheng Jilin , Zhu Bowen 
Published: October 2022

Abstract
The frequent start–stop scheme in the operation management of large pumping stations causes several problems, e.g., energy consumption and a potential safety hazard. We therefore established a mathematical model for the optimal operation of a large-scale pumping station considering the start-stop loss of machine. The objectives of the optimization model included electricity charges for a pumping station operation and the start-stop loss of a pumping station. The blade angle and start-stop scheme were taken into account as the double-decision variables, while the target water extraction (equality constraint), start-stop scheme, and power were the constraint conditions. A combination of an orthogonal experiment and a 0-1 integer programming algorithm was proposed to explore the optimal solution of the model. A real case of a single-unit pump station in China was applied to prove the effectiveness of the algorithm. The results showed that the optimization efficiency of the proposed algorithm was 4%–10% higher than that of the genetic algorithm. Additionally, the maximum optimization benefit was obtained when there were fewer than three start-stops during the operation process. The proposed algorithm provided a reference for similar complex nonlinear models.
The Effect of Phytohormonal Steroids in Combination with Succinic Acid on the Resistance of Hordeum Vulgare L. to Helminthosporium teres Sacc.
Authors: Manzhаlesаva Neli , Litvinovskaya Raisa P. , Poljanskaja Svetlana N. , Khripach Vladimir A. 
Published: October 2022

Aim:
The aim of this investigation is study the BS effect on the growth of Helminthosporium teres Sacc. and to elucidate the protective effect of brassinosteroids and their tetrahemisuccinates on spring barley (Hordeum Vulgare L.) exposed to biotic stress caused by this phytopathogenic fungus.

Background:
Brassinosteroids and their tetrahemisuccinates are considered as protectors of the fungal infection caused by H.teres.

Objective:
Evaluation of the effect of brassinosteroids, their mixtures and conjugates with succinic acid against the pathogen H.teres, as well as in spring barley crops against a natural infectious background.

Methods:
The fungistatic activity of brassinosteroids and their tetrahemisuccinates was evaluated in relation to the phytopathogenic fungus H.teres. The effect of BS and their derivatives on the processes of adaptation of spring barley plants to the pathogen of net spotting of the phytopathogenic fungus H.teres was studied on a model pathosystem and in the agrocenosis.

Results:
A fungistatic activity of the synthesized substances was revealed, which consists in inhibiting the growth of the phytopathogenic fungus H.teres on a solid nutrient medium by 35-40%. Succinic acid can enhance the fungistatic effect of brassinosteroids, which is more noticeable when using conjugates with succinic acid than in mechanical mixtures. In field experiments, it was shown that the studied compounds and their mixtures applied as a single spraying in the beginning of tubing phase reduced the development of leaf spots caused by phytopathogenic fungi.

Conclusion:
The results obtained indicate that brassinosteroids with succinic acid both in the form of conjugates and mechanical mixtures show fungistatic activity.
Validity of Chatbot Use for Mental Health Assessment: Experimental Study
Authors: Schick Anita , Feine Jasper , Morana Stefan , Maedche Alexander , Reininghaus Ulrich 
Published: October 2022

Background
Mental disorders in adolescence and young adulthood are major public health concerns. Digital tools such as text-based conversational agents (ie, chatbots) are a promising technology for facilitating mental health assessment. However, the human-like interaction style of chatbots may induce potential biases, such as socially desirable responding (SDR), and may require further effort to complete assessments.

Objective
This study aimed to investigate the convergent and discriminant validity of chatbots for mental health assessments, the effect of assessment mode on SDR, and the effort required by participants for assessments using chatbots compared with established modes.

Methods
In a counterbalanced within-subject design, we assessed 2 different constructs—psychological distress (Kessler Psychological Distress Scale and Brief Symptom Inventory-18) and problematic alcohol use (Alcohol Use Disorders Identification Test-3)—in 3 modes (chatbot, paper-and-pencil, and web-based), and examined convergent and discriminant validity. In addition, we investigated the effect of mode on SDR, controlling for perceived sensitivity of items and individuals’ tendency to respond in a socially desirable way, and we also assessed the perceived social presence of modes. Including a between-subject condition, we further investigated whether SDR is increased in chatbot assessments when applied in a self-report setting versus when human interaction may be expected. Finally, the effort (ie, complexity, difficulty, burden, and time) required to complete the assessments was investigated.

Results
A total of 146 young adults (mean age 24, SD 6.42 years; n=67, 45.9% female) were recruited from a research panel for laboratory experiments. The results revealed high positive correlations (all P<.001) of measures of the same construct across different modes, indicating the convergent validity of chatbot assessments. Furthermore, there were no correlations between the distinct constructs, indicating discriminant validity. Moreover, there were no differences in SDR between modes and whether human interaction was expected, although the perceived social presence of the chatbot mode was higher than that of the established modes (P<.001). Finally, greater effort (all P<.05) and more time were needed to complete chatbot assessments than for completing the established modes (P<.001).

Conclusions
Our findings suggest that chatbots may yield valid results. Furthermore, an understanding of chatbot design trade-offs in terms of potential strengths (ie, increased social presence) and limitations (ie, increased effort) when assessing mental health were established.
Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study
Authors: Kim Changgyun , Jeong Hogul , Park Wonse , Kim Donghyun 
Published: October 2022

Background
Early detection of tooth-related diseases in patients plays a key role in maintaining their dental health and preventing future complications. Since dentists are not overly attentive to tooth-related diseases that may be difficult to judge visually, many patients miss timely treatment. The 5 representative tooth-related diseases, that is, coronal caries or defect, proximal caries, cervical caries or abrasion, periapical radiolucency, and residual root can be detected on panoramic images. In this study, a web service was constructed for the detection of these diseases on panoramic images in real time, which helped shorten the treatment planning time and reduce the probability of misdiagnosis.

Objective
This study designed a model to assess tooth-related diseases in panoramic images by using artificial intelligence in real time. This model can perform an auxiliary role in the diagnosis of tooth-related diseases by dentists and reduce the treatment planning time spent through telemedicine.

Methods
For learning the 5 tooth-related diseases, 10,000 panoramic images were modeled: 4206 coronal caries or defects, 4478 proximal caries, 6920 cervical caries or abrasion, 8290 periapical radiolucencies, and 1446 residual roots. To learn the model, the fast region-based convolutional network (Fast R-CNN), residual neural network (ResNet), and inception models were used. Learning about the 5 tooth-related diseases completely did not provide accurate information on the diseases because of indistinct features present in the panoramic pictures. Therefore, 1 detection model was applied to each tooth-related disease, and the models for each of the diseases were integrated to increase accuracy.

Results
The Fast R-CNN model showed the highest accuracy, with an accuracy of over 90%, in diagnosing the 5 tooth-related diseases. Thus, Fast R-CNN was selected as the final judgment model as it facilitated the real-time diagnosis of dental diseases that are difficult to judge visually from radiographs and images, thereby assisting the dentists in their treatment plans.

Conclusions
The Fast R-CNN model showed the highest accuracy in the real-time diagnosis of dental diseases and can therefore play an auxiliary role in shortening the treatment planning time after the dentists diagnose the tooth-related disease. In addition, by updating the captured panoramic images of patients on the web service developed in this study, we are looking forward to increasing the accuracy of diagnosing these 5 tooth-related diseases. The dental diagnosis system in this study takes 2 minutes for diagnosing 5 diseases in 1 panoramic image. Therefore, this system plays an effective role in setting a dental treatment schedule.
Entomological Surveillance of the Invasive Aedes Species at Higher-Priority Entry Points in Northern Iran: Exploratory Report on a Field Study
Authors: Nikookar Seyed Hassan , Maleki Alireza , Fazeli-Dinan Mahmoud , Shabani Kordshouli Razieh , Enayati Ahmadali 
Published: October 2022

BackgroundArboviral diseases such as dengue, Zika, and chikungunya are transmitted by Aedes aegypti and Ae albopictus and are emerging global public health concerns.ObjectiveThis study aimed to provide up-to-date data on the occurrence of the invasive Aedes species in a given area as this is essential for planning and implementing timely control strategies.MethodsEntomological surveillance was planned and carried out monthly from May 2018 to December 2019 at higher-priority entry points in Guilan Province, Northern Iran, using ovitraps, larval collection, and human-baited traps. Species richness (R), Simpson (D), evenness (E), and Shannon-Wiener indexes (H̕) were measured to better understand the diversity of the Aedes species. The Spearman correlation coefficient and regression models were used for data analysis.ResultsWe collected a total of 3964 mosquito samples including 17.20% (682/3964) belonging to the Aedes species, from 3 genera and 13 species, and morphologically identified them from May 2018 to December 2019. Ae vexans and Ae geniculatus, which showed a peak in activity levels and population in October (226/564, 40.07% and 26/103, 25.2%), were the eudominant species (D=75.7%; D=21.2%) with constant (C=100) and frequent (C=66.7%) distributions, respectively. The population of Ae vexans had a significant positive correlation with precipitation (r=0.521; P=.009) and relative humidity (r=0.510; P=.01), whereas it was inversely associated with temperature (r=−0.432; P=.04). The Shannon-Wiener Index was up to 0.84 and 1.04 in the city of Rasht and in July, respectively. The rarefaction curve showed sufficiency in sampling efforts by reaching the asymptotic line at all spatial and temporal scales, except in Rasht and in October.ConclusionsAlthough no specimens of the Ae aegypti and Ae albopictus species were collected, this surveillance provides a better understanding of the native Aedes species in the northern regions of Iran. These data will assist the health system in future arbovirus research, and in the implementation of effective vector control and prevention strategies, should Ae aegypti and Ae albopictus be found in the province.
Youth Perspectives on the Recommended Age of Mobile Phone Adoption: Survey Study
Authors: Richter Aliah , Adkins Victoria , Selkie Ellen 
Published: October 2022

Background
Despite increasing prevalence of phone ownership in early adolescence, there is a deficit of evidence-based guidance on the appropriate time to provide youth their first phone.

Objective
This survey study explored age recommendations for phone ownership among a diverse panel of youths, as their experiences are an important contribution to the development of ownership guidelines.

Methods
Participants were recruited from MyVoice, a national panel of over 765 youth (14 to 24 years old) who respond to weekly SMS text message–based surveys. Questions were distributed between January 24 2018, and March 20, 2018. Inductive qualitative analysis was used to identify major themes among youths’ open-ended responses.

Results
In all, 469 youth (mean age 18.8 years; female: 299/469, 63.8%; White race: 332/468, 70.8%) responded. On average, respondents obtained their first phone at 12.2 years of age. Most participants (325/459, 71.1%) stated they received their first phone out of necessity rather than for entertainment or social reasons. Youth recommended that early adolescents receive their first phone between 12 and 13 years of age primarily for reasons of necessity (146/448, 32.6%).

Conclusions
According to the participants, phones supported safety and independence by allowing communication with parents and participation in activities. Youth-serving professionals and parents can incorporate these youth perspectives into shared decision-making about phone ownership among families. This can include discussions about essential features, safety, or phone use, as well as maturity and responsibility milestones, which were all key considerations reported by participants in the survey.
BEYOND IMAGE DEFINED RISK FACTORS (idrfS): A Delphi survey Highlighting definition of the Surgical Complexity Index (SCI) in Neuroblastoma
Authors: Avanzini Stefano , Dall'Igna Patrizia , K Bjornland , Braungart Sarah , Cross Kate , Flores Paula , Gabra Hany , J Gomez-Chacon , Irtan Sabine , Lobos Pablo , Loh Amos , LE Matthyssens , Metzelder Martin , Parodi Stefano , L Pio , Ven Cees van de , Fuchs Joerg , Losty Paul , Sarnacki Sabine 
Published: October 2022

BACKGROUND Preoperative evaluation of Image Defined Risk Factors (IDRFs)
in neuroblastoma (NB) is crucial for determining suitability for upfront
resection or tumor biopsy. IDRFs are linked with a higher potential
morbidity at operation and lessen the chance of complete tumor
resection. The IDRFs do not all carry the same weight in predicting
tumor complexity and surgical risk. In this study we aimed to assess and
categorize the degrees of surgical complexity (Surgical Complexity
Index, SCI) in NB resection. PROCEDURE A panel of 15 surgeons was
involved in an electronic Delphi consensus survey to identify and score
a set of shared items predictive and/or indicative of surgical
complexity, including the number of preoperative IDRFs. Risk categories
included - (a) Standard risk; (b) Moderate risk; (c) High risk; (d) Very
high risk. A shared agreement included the achievement of at least 75%
consensus focused on a single category or, alternatively, on the sum
between the prevailing category and an immediately closest one. RESULTS
After 3 Delphi rounds, agreement was established on 25/27 items
(92.6%). A severity score was established for each item ranging from 0
to 3 with an overall SCI range varying from a minimum score of zero to a
maximum score of 29 points for any given patient. CONCLUSIONS A
consensus on a SCI to stratify the risks related to tumor resection was
established by the panel experts. This index will now be deployed to
critically assign a better severity score to IDRFs involved in NB
surgery.
Video Animasi Materi Sistem Tata Surya Berorientasi Problem Based Learning dalam Pembelajaran di Sekolah Dasar
Authors: Putri Arlinda Gautama , Ganing Ni Nyoman , Kristiantari Maria Goreti Rini 
Published: October 2022

Kurangnya penggunaan media dalam pembelajaran berpengaruh terhadap hasil belajar siswa yang kurang maksimal. Hal ini menandakan rendahnya pemahaman siswa dapat disebabkan oleh kurangnya semangat dan minat siswa dalam proses pembelajaran. Penelitian ini bertujuan untuk menciptakan sebuah media pembelajaran berupa video animasi pada pokok bahasan sistem tata surya muatan ilmu pengetahuan alam berorientasi problem based learning kelas VI yang layak digunakan dalam pembelajaran. Penelitian ini termasuk jenis penelitian pengembangan dengan acuan model pengembangan ADDIE. Subyek yang dilibatkan adalah ahli isi pembelajaran, ahli desain, ahli media, dan siswa kelas VI. Metode pengumpulan data yang digunakan berupa wawancara, dan observas dengan instumen angket. Data yang diperoleh dianilisis menggunakan statistik deskriptif kualitatif dan kuantitatif untuk mengetahui persentase kelayakan produk. Hasil penilaian uji ahli isi pembelajaran sebesar 90%, hasil penilaian uji ahli desain pembelajaran sebesar 90%, hasil penilaian uji ahli media pembelajaran sebesar 90,62%, dan hasil penilaian uji coba perorangan sebesar 93,74%, serta hasil penilaian uji coba kelompok kecil sebesar 93,51% media video animasi dikategorikan sangat baik. Sehingga. media video animasi pokok bahasan sistem tata surya muatan ilmu pengetahuan alam berorientasi Problem Based Learning pada siswa kelas VI efektif dalam pembelajaran kelas VI sekolah dasar.
Model Pembelajaran Talking Stick Berbantuan Buku Cerita Terhadap Keterampilan Membaca Pemahaman Siswa
Authors: Agustiari Ni Putu Suci , Ganing Ni Nyoman , Wiyasa I Komang Ngurah 
Published: October 2022

Penelitian ini bertujuan untuk menganalisis model Talking Stick berbantuan buku cerita dapat memberikan pengaruh terhadap keterampilan membaca pemahaman siswa kelas V SD Negeri Gugus Letkol Wisnu Denpasar Tahun Ajaran 2019/2020. Penelitian ini dilakukan dengan melakukan percobaan yang terencana menggunakan design eksperimen semu atau non equivalent control group design. Dalam penelitian ini untuk menentukan sampel dengan mengacak kelas atau teknik random sampling. Pada penelitian ini mengambil populasi semua siswa kelas V SD Negeri Gugus Letkol Wisnu sejumlah 308 siswa. Sampel yang diperoleh pada penelitian ini yaitu sebanyak 65 siswa,30 anak merupakan siswa kelas V SD Negeri 5 peguyangan yang terpilih sebagai kelompok yang diberikan perlakuan dan sebanyak 35 anak merupakan siswa kelas V SD Negeri 3 peguyangan yang terpilih sebagai kelompok pembanding. Cara mengumpulkan data kompetensi pengetahuan siswa dilakukan dengan lembar teknik test. Berdasarkan hasil analisis data diperoleh nilai pretest dan posttest menggunakan uji-t. Diperoleh rata-rata pada kelas eksperimen 80,33 dan kelas control sebesar 66,29 berdasarkan hal tersebut siswa yang dibelajarkan dengan Model Pembelajaran Talking Stick lebih unggul dibandingkan siswa yang belajar secara konvensional. Diperoleh nilai thitung = 2,389 > ttabel=2,000 dengan dk = 63 dan taraf signfikansi 5%. Berdasarkan hasil tersebut dapat disimpulkan bahwa terdapat perbedaan yang signifikan model Talking Stick berbantuan buku cerita terhadap keetrampilan membaca pemahaman siswa kelas V SD Negeri Gugus Letkol Wisnu Denpasar Tahun Ajaran 2019/2020 setelah diberikan treatment. Kata kunci : Talking Stick, Buku Cerita, Pemahaman
Media Pembelajaran Game Edukasi Berbasis Website Pada Muatan IPA Materi Sistem Pencernaan Manusia Kelas V SD
Authors: Dwi Puspa Kadek Candra 
Published: October 2022

Kurangnya variasi media pembelajaran yang mengikuti perkembangan era digital dan dapat mengaktifkan siswa di dalam kelas khususnya pada muatan IPA berdampak pada hasil belajar siswa. Penelitian ini bertujuan menganalisis validitas media pembelajaran game edukasi berbasis website. Pengembangan Media pembelajaran game edukasi berbasis website menggunakan model ADDIE (Analyze, Design, Development, Implementation, Evaluation). Subjek uji coba penelitian ini adalah 1 orang ahli isi pembelajaran, 1 orang ahli desain instruksional, 1 orang ahli media pembelajaran, 3 orang uji coba perorangan dan 9 orang uji coba kelompok kecil. Metode pengumpulan data yang digunakan adalah kuesioner dengan teknik analisis data deskriptif kuantitatif. Hasil penelitian menurut subjek penelitian berturut-turut 97,50% (sangat baik), 100% (sangat baik), 100% (sangat baik), 97,50% (sangat baik) dan 96,94% (sangat baik). Maka disimpulkan media pembelajaran game edukasi berbasis website pada muatan IPA materi sistem pencernaan manusia layak untuk digunakan di kelas V SD. Implikasi penelitian ini memberikan media pembelajaran yang dapat digunakan pada era digital yang mampu mengaktifkan siswa dalam proses pembelajaran serta memotivasi siswa untuk belajar sehingga meningkatkan hasil belajar siswa.
Modeling and implementation of an automatic Access control system for secure permises using facial recognition
Authors: Boluma Mangata Bopatriciat , Reagan  , Donatien  , Joseph  
Published: October 2022

Security is a major concern within companies to prevent access to information by unauthorized persons. In this work, we are interested in access control through facial recognition. To realize this access control system based on facial recognition, we used an embedded system under Arduino which gives us the possibility to assemble the performances of programming and electronics, more precisely, we programmed electronic systems for the automatic opening of doors without the action of a human being. From a sample of 100 individuals composed of 40 women and 60 men, 75 of whom were registered and 25 non-registered, our access control system obtained the results of 70 true positives, 5 false negatives, 8 false positives and 17 true negatives that constitute our confusion matrix. However, from the set of tests performed we can conclude that multi-modality fusion can be leveraged to increase the performance of the verification system as the verification performance of multimodal systems (feature fusion or score fusion) can be applied to give even better results.