bluuebunny/crossref_metadata_2025 huggingface dataset:
On Certain Factors of Uniformity of Judicial Practice
Authors: Borisov G. A.
Published: June 2023

The article presents a study of modern factors that influence the shaping of uniform judicial practice in various countries of the world. The system of ensuring legal certainty established in the Russian Federation is regarded as superior to the system of stare decisis, whose proponents not infrequently seek stability for the sake of stability. A conclusion is drawn that abstract interpretation, not tied to the particular circumstances of an individual dispute, not having a strictly obligatory nature, and issued by a collective body of the apex court leaves more room for judicial discretion and orientation on legal principles. Trends are discovered in the court structure and rules of court procedure in foreign countries, indicating the continuing competition between the two systems, as well as a search for their synthesis. An opinion is put forward that lowering judicial workload through cutting-edge technologies, including artificial intelligence, is one of the keys to increasing the quality of justice. In this regard, potential risks and benefits of introducing those technologies into court activities are considered. The example of Chinese courts is used to illustrate the danger of lending too much importance to the recommendations of AI algorithms; a suggestion is formulated to introduce a new function into the prospective “Justice Online” superservice. Particular attention is paid to such subjective factors as judicial workload and judicial well-being, their role for the work of the courts. Based on foreign research and a report presented by the UN Office on Drugs and Crime, a conclusion is made about the importance of maintaining the physical and psychological well-being of judges for ensuring the proper quality of court decisions. The importance of dialog and exchange of best practices in the sphere of judicial well-being is stressed, various problems arising as a result of turning a blind eye to this sphere are considered. In conclusion, the importance of studying the results of work of the top judicial body in ensuring uniform judicial practice is emphasized, as well as that of dissemination of information about the adopted legal standings among the general public.
Peran Platform Digital dalam Sertifikasi Halal UMKM Pasca Ditetapkan Undang-Undang Nomor 11 Tahun 2020 Tentang Cipta Kerja di Era Pandemi Covid-19
Authors: Dwi Hidayatul Firdaus  , Teguh Setyobudi
Published: June 2023

Penelitian ini berangkat dari realitas empiris keberadaan platform digital (Go Food, Grab Food dan Shopee Food) dan perannya dalam sertifikasi halal produk UMKM di Indonesia. Metode yang digunakan dalam penelitian ini terdiri dari jenis penelitian lapangan, yang mengandalkan data primer dan sekunder yang diperoleh melalui wawancara dan studi dokumen. Data tersebut dianalisis secara deskriptif kualitatif. Adapun hasil penelitian yang telah dilakukan di atas dapat ditarik dua kesimpulan, yaitu pertama. Platform digital (Go Food, Grab Food dan Shopee Food) secara faktual dalam ketentuan yang tertera di websitenya tidak menjadikan kehalalan produk menjadi syarat bagi UMKM untuk bermitra dengannya, sehingga dapat dikatakan tidak berperan dalam upaya percepatan. sertifikasi halal produk UMKM di Indonesia, kedua, ada beberapa peran yang dapat diambil oleh platform digital (Go Food, Grab Food dan Shopee Food) untuk membantu percepatan sertifikasi halal produk UMKM, yaitu: (1) kampanye, sosialisasi dan edukasi tentang urgensi sertifikasi halal produk UMKM, (2) fasilitasi aspek pembiayaan sertifikasi halal produk UMKM melalui dana CSR, (3) menjadikan halal produk UMKM sebagai mitra. (This research departs from the empirical reality of the existence of digital platforms (Go Food, Grab Food and Shopee Food) and their role in halal certification of MSME products in Indonesia. The method used in this research consists of the type of field research, which relies on primary and secondary data obtained through interviews and document studies. These data were analyzed descriptively qualitatively. As for the research that has been done above, two conclusions can be drawn, namely first. Digital platforms (Go Food, Grab Food and Shopee Food) factually in the provisions listed on their website do not make product halal a condition for MSMEs to partner with them, so it can be said that they do not play a role in efforts to accelerate the halal certification of MSME products in Indonesia, secondly, there are several roles that can be taken by digital platforms (Go Food, Grab Food and Shopee Food) to help accelerate the halal certification of MSME products, namely: (1) campaigns, socialization and education on the urgency of MSME product halal certification, (2) facilitation in the financing aspect of MSME product halal certification through CSR funds, (3) make the halal products of MSMEs as partners.)
Aspek Perlindungan Hak Spiritual Konsumen dalam Penyelesaian Sengketa Wanprestasi Pembiayaan Murabahah Pasca Putusan Mahkamah Konstitusi Nomor 18/PUU-XVII/2019
Authors: Noer Yasin
Published: June 2023

Penelitian dilatarbelakangi realitas putusan Mahkamah Konstitusi 18/PUU-XVII/2019 tentang pengujian Undang-Undang Nomor 42 Tahun 1999 tentang Jaminan Fidusia. Adapun fokus kajiannya adalah aspek perlindungan hak spiritual konsumen dalam penyelesaian sengketa wanpretasi pembiayaan murabahah. Untuk membahasnya digunakan metode penelitian dengan jenis penelitian hukum doktrinal yang bertumpu pada tiga bahan hukum, yaitu primer, sekunder dan tersier yang didapat melalui studi pustaka dan dianalisa secara deksriptif kualitatif. Adapun hasil penelitian ini adalah bahwa penyelesaian sengketa wanprestasi pembiayaan murabahah berdasarkan Putusan MK No. 18/PUU-XVII/2019 dapat dilakukan: (a) di luar pengadilan secara musyawarah. Pada konsteks ini agar konsumen terlindungi hak spiritualnya dapat dilakukan secara hybrid mediasi-arbitrase pada badan arbitrase syariah atau pada Lembaga Alternatif Penyelesaian Sengketa Sektor Jasa Keuangan (LAPS SJK), namun karena kedua lembaga ini tidak mudah diakses konsumen, maka Badan Penyelesaian Sengketa Konsumen (BPSK) dapat diberi kewenangan terhadapnya dengan kewajiban menerapkan prinsip syariah dalam kasus sengketa wanprestasi pembiayaan syariah. Kedua, dapat dilakukan di pengadilan agama dengan melalui mekanisme gugatan sederhana. (The research is motivated by the reality of the decision of the Constitutional Court 18/PUU-XVII/2019 regarding the review of Law Number 42 of 1999 concerning Fiduciary Guarantees. The focus of the study is on the aspect of protecting the spiritual rights of consumers in the settlement of the murabahah financing default dispute. To discuss this research method is used with the type of doctrinal legal research that relies on three legal materials, namely primary, secondary and tertiary obtained through literature study and analyzed descriptively qualitatively. The results of this study are that the settlement of the murabahah financing default dispute based on the Constitutional Court Decision No. 18/PUU-XVII/2019 can be carried out: (a) out of court by deliberation. In this context, so that consumers' spiritual rights can be protected, hybrid mediation-arbitration can be carried out at the sharia arbitration body or at the Financial Services Sector Alternative Dispute Resolution Institution (LAPS SJK), but because these two institutions are not easily accessible to consumers, the Consumer Dispute Resolution Agency (BPSK) ) may be given authority over it with the obligation to apply sharia principles in the case of a sharia financing default dispute. Second, it can be done in a religious court through a simple lawsuit mechanism.)
Efektivitas Akun Instagram @Aniesbaswedan Dalam Meningkatkan Kepercayaan Publik
Authors: Prihatiningrum Sri , Kusmiati Yopi
Published: June 2023

Anies Rasyid Baswedan merupakan Gubernur DKI Jakarta yang selalu membagikan berbagai informasi dan kebijakannya pada akun instagram pribadinya @aniesbaswedan. Sebab di era ini, instagram tidak hanya digunakan untuk mengekspresikan diri, namun banyak pihak yang menggunakannya untuk menerapkan transparansi kebijakan dan keterbukaan informasi dengan tujuan untuk meningkatkan kepercayaan publik, salah satunya adalah Anies Rasyid Baswedan. Berdasarkan hal tersebut, maka dalam penelitian ini, peneliti melihat dimensi epic model yang paling berpengaruh dalam meningkatkan kepercayaan publik pada akun instagram @aniesbaswedan dan melihat efektifitas akun Instagram @aniesbaswedan dalam meningkatkan kepercayaan publik berdasarkan EPIC Model tersebut. Teori yang digunakan dalam penelitian ini adalah EPIC Model, yaitu alat pengukur efektivitas komunikasi pemasaran yang dikembangkan oleh AC Nielson. Penelitian ini menggunakan paradigma positivisme dengan pendekatan kuantitatif. Teknik analisis yang digunakan adalah tabulasi sederhana, skor rata-rata yang kemudian dimasukkan ke dalam rentang skala EPIC Model. Hasil penelitian ini menunjukkan dimensi yang paling berpengaruh dalam penelitian ini adalah dimensi Empathy dengan skor 4,26 dan akun instagram @aniesbaswedan dinyatakan efektif berdasarkan perhitungan EPIC rate sebesar 4,05 dalam meningkatkan kepercayaan publik.
Investigation of Postgraduate Theses on Using of Web-Based Education in Nursing Education
Authors: YÜCESOY Hüsne , ERBİL Nülüfer
Published: June 2023

Objective: This study was conducted to examine the master's and doctoral dissertations investigating the effects of web-based education in the courses conducted in the nursing undergraduate programs of universities in Turkey. Methods: In this study, the database of the Council of Higher Education (CoHE) National Thesis Center was searched using the keywords "nursing and web" regardless of the year interval. As a result of the screening, 16 postgraduate theses meeting the inclusion criteria were included in the study. Results: It was determined that the first thesis was published in 2007, and the number of theses increased in 2017 and 2019. It was determined that 37.2% of the theses were at the master's level, 62.5% at the doctoral level and 93.75% of them were experimental/semi-experimental research designs. It was determined that 50% of the theses were published in the field of nursing principles. It has been found that the use of web-based teaching methods in the education of nursing students positively affects students' gaining knowledge and skills. Conclusion: Although there has been an increase in the number of theses using web-based education in nursing education in recent years, it is recommended that more randomized controlled studies be conducted and that the use of face-to-face education should be supported with web-based education.
Utilization of public and private healthcare facilities: patient choice
Authors: Davitadze Arsen , Aleksandrova Ekaterina
Published: June 2023

Healthcare system in Russia lets patients choose where they want to get medical services: at public or private healthcare facilities. This choice may depend on several factors. According to Andersen’s healthcare utilization model, these factors can be divided into three groups: predisposing, enabling and need factors. The purpose of this study is to identify factors determining patient choice between public and private healthcare providers in Russia. Statistical and regression analysis was carried out using 2019 Rosstat data. We found that men and people from older age groups were more likely to attend public facilities, while people with higher education, employed and living in larger cities were more likely to attend private clinics. Higher income, having supplemental health insurance, and receiving medical services outside one’s city were associated with an increase in probability of using private healthcare providers. Analysis of need factors showed that worse health in individuals was associated with increased probability of choosing private medical organizations, whereas disability was associated with decreased probability of making the same choice.
Seminar “Economy for a person: education, healthcare, culture” at the VIII Saint-Petersburg international economic congress (SPEC‑2023)
Authors: Aleksandrova Olga , Yarasheva Aziza
Published: June 2023

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Impact of the COVID-19 pandemic on marriage and divorce in Russia
Authors: Sivoplyasova Svetlana
Published: June 2023

The pandemic of a new coronavirus infection has had a significant impact on demographic processes in Russia, in particular, on the dynamics of marriage and divorce. In 2020 the indicators reached the lowest values since the beginning of the 21st century. Meanwhile, quarantines and “lockdowns” affected marriage more strongly than divorce. Analysis of monthly crude marriage and divorce rates showed that after the “acute phases” of restrictions, when there was a sharp decline in indicators, in the periods of reduction of the quarantine measures, a “compensatory effect” was observed: both the number of registered marriages and divorces increased. However, in the case of divorces, the “compensatory” effect appeared immediately after the lifting of restrictions and persisted throughout the pandemic. In the case of marriages, “restraint” in matrimonial behaviour was observed for almost a year, and the “effect of delayed marriages” manifested itself only in 2021. At the same time, the different rate of dynamics of marriage and divorce led to the fact that the ratio of marriages and divorces in the country exceeded a record 100:70, respectively. There is a regional differentiation in marriage and divorce rates. The study showed that the matrimonial behaviour of the population in different subjects became more similar during the acute phase of the pandemic (in 2020), and differences increased in marriage rates during the period with milder restrictions (in 2021), while they decreased even more in divorce rates. There were RF subjects in which the number of divorces not only equalled the number of marriages (for example, in the Nenets Autonomous Okrug in 2020), but also exceeded it during the pandemic period (in the Jewish Autonomous Oblast, the Karachay-Cherkess Republic and the Republic of Ingushetia in 2021). This situation causes particular concern, as it affects the marriage structure of population and, as a result, may affect the dynamics of reproduction. Thus, unfavourable external factors can have a strong impact on marriage and divorce, thereby creating risks for the demographic development of the country. Conversely, a stable socio-economic, political and epidemiological situation will allow demographic processes to develop in a positive way and become the basis for achieving the goals of the socio-demographic policy of the State.
Strategies for use of the Internet by the older generation
Authors: Galkin Konstatin , Parfenova Oksana
Published: June 2023

Based on the data of semi-structured in-depth interviews, strategies for use of the Internet by older people are considered. The theoretical perspective of the study consisted of studies on the use of the Internet and information technologies by older people, actor-network theory in the context of the use of computer by the elderly and the elements of integration of older people into the use of the Internet from the objectification and conversion of the Senior Technology Acceptance Model (STAM). Older people appear in the field of technology research as a specific group of Internet users with their characteristic experience of mastering the meanings and roles of the Internet in everyday life. It is noted that development of the Internet by older people is reflexive and involves a number of difficulties. The empirical basis of the study is semi-structured interviews with people over 60 years of age from St. Petersburg, the Republic of Karelia, Tyumen and Salekhard (n=36). Based on the conducted research, we identified 4 strategies for the use of the Internet by older people: information consumption strategy; communication strategy; resource use strategy; rejection strategy. The main differences in the identified strategies are motivation and goals when using the Internet. The passage of the stages from objectification (intention to use) to conversion (making a final decision on further use) depends on the type of Internet resources — in the case of communication and information consumption, acceptance occurs quickly, unlike more specialized Internet services and applications. The main barriers are age, availability of professional employment and its specifics, social environment and family, availability of a smartphone. Drivers and sources of competencies for using the Internet are close relatives and special courses. Active professionals under the age of 75 tend to use the maximum number of Internet opportunities, including for professional purposes. The strategies highlighted in the study can be used both for further research in the field of interaction of older people and their communication on the Internet and as practical data for improving the quality of work and integration of older people into the Internet.
ANALISIS FAKTOR PENYEBAB PENGGUNAAN KONTRASEPSI SELAMA MASA PANDEMI COVID-19 PADA PASANGAN USIA SUBUR DI KECAMATAN TEBING TINGGI KABUPATEN TANJUNG JABUNG BARAT
Authors: Nurma Dian Aprilia
Published: June 2023

Laju pertumbuhan penduduk di Indonesia mengalami peningkatan sebesar 1,49% atau bertambah 4,5 juta setiap tahunnya. Hal ini menyebabkan tidak sesuainya program pemerintah dalam menggalakkan program Keluarga Berencana (KB). Program KB mengalami penurunan selama masa pandemi COVID-19, hal ini disebabkan karena fasilitas kesehatan yang akan di akses masyarakat untuk mendapatkan program KB terbatas. Badan Kependudukan dan Keluarga Berencana Nasional mencatat adanya penurunan drastis (35%-47%) pada penggunaan kontrasepsi, berkurangnya partisipasi penggunaan KB, dan akan berimbas kepada meningkatnya kelahiran bayi atau biasa disebut sebagai kejadian “baby boom” setelah pandemi COVID-19. Berdasarkan survei awal yang dilakukan kepada Pasangan Usia Subur (PUS) di Kecamatan Tebing Tinggi, terjadi penurunan penggunaan kontrasepsi sebesar 21,5% selama masa pandemi COVID-19. Penelitian ini bertujuan untuk mengetahui faktor penyebab partisipasi penggunaan kontrasepsi selama masa pandemi COVID 19. Penelitian ini menggunakan desain cross sectional dengan analisis univariat dan analisis bivariat. Metode uji yang digunakan adalah chi square. Sampel penelitian adalah Pasangan Usia Subur (PUS) di Kecamatan Tebing Tinggi dipilih berdasarkan metode simple random sampling. Hasil penelitian menunjukkan bahwa terdapat tiga variabel yang berhubungan dengan penggunaan kontrasepsi yaitu pengetahuan (p-value <0.001), dukungan suami (p-value <0.001)  dan dukungan tenaga kesehatan (p-value <0.001). Jadi sangat disarankan para suami dapat memberikan dukungan kepada istri terkait penggunaan kontrasepsi, tenaga kesehatan juga berperan dalam memberikan dukungan fasilitas dan tenaga dalam memberikan pelayanan KB kepada akseptor KB. Penyuluh KB dan kader KB di setiap desa/kelurahan dapat memberikan Komunikasi Informasi dan Edukasi (KIE) kepada akseptor terkait kontrasepsi yang dapat meningkatkan jumlah akseptor KB.
WOMEN’S AUTONOMY AND RESPECTFUL CARE IN THE MATERNITY CARE DURING COVID-19 PANDEMIC
Authors: Maulina Rufidah , Jannah Safella Lutfatul , Gita Kostania  , Revi Gama Hatta Novika  , Argaheni Niken Bayu , Prabasari Siska Ningtyas
Published: June 2023

Background: Women's autonomy and respect are crucial for ensuring high-quality maternity care. However, during the COVID-19 pandemic, healthcare workers have had to adapt to new protocols and follow social distancing regulations, which can impact their ability to provide autonomous and respectful care to their patients. Therefore, the objective of this study was to describe how mothers perceive autonomy and respect during their antenatal and childbirth care. Method: This study used a cross-sectional approach to collect data via an online survey from March 2020 to July 2021. Descriptive statistics were used to analyze the data. Results: The majority of the women in this study reported experiencing a moderate level of autonomy (Mean ±SD=31.4±10.08) but low levels of respect during their maternity care (Mean ±SD= 44.99±7.13). Conclusion: The results of this study suggest that, during the COVID-19 pandemic, women are receiving moderate levels of autonomy in decision-making but low levels of respectful care from maternity staff during pregnancy and childbirth. Despite the challenges posed by the pandemic, healthcare workers such as midwives, nurses, and obstetricians should remain mindful of their patients' rights to make decisions about their own health and provide respectful care.
MODE OF DELIVERY IN THE SECOND PREGNANCY OF MOTHER WITH HIGH MYOPIA AND HISTORY OF SECTIO CESAREAN: A CASE REPORT
Authors: Dian Lestari Hidayah  , Fitriana Farida , Andriyanti  , Ivon Diah Wittiarika  , Ratna Dwi Jayanti
Published: June 2023

Background: Pregnant women with a history of cesarean section have problems choosing the delivery method for their next pregnancy. Sometimes there are still other risk factors, one of which is high myopia, which adds to the problem of choosing an effective delivery method with the advantages and disadvantages of each. Continuity of care in midwifery is very important in providing patients insight, knowledge, and support to make decisions about appropriate and safe delivery methods. Case report: A 29-year-old woman G2P1A0 with high myopia (minus 8) and cesarean scar three years ago for indications of high myopia (minus 10). In this second pregnancy, the mother underwent another SC because of high myopia minus 8, and the mother has not had a retinal laser until the present. Patients receive referrals from a primary health center for antenatal care and preparation for delivery at referral health facilities with high-risk pregnancies. Mothers are faced with two choices: TOLAC (Trial Of Labor After Cesarean Delivery) and ERCD (Elective Repeat Cesarean Delivery). The mother was consulted by an eye specialist at the referral hospital. The condition of the eye’s retina is good from the results of an eye specialist examination. However, it is still necessary to do a retinal laser process as prophylaxis if the mother wants to have a vaginal delivery. In the end, cesarean delivery is the mother's choice. Conclusion: Pregnancies with high myopia and cesarean scars need to receive full support from midwives and families to carry out comprehensive COC care to improve the health of mothers and children by assisting mothers in selecting delivery methods that are effective and safe for both mother and baby.
SYSTEMATIC REVIEW: THE EFFECT OF ADOLESCENT BEHAVIOR ON UNWANTED PREGNANCY
Authors: Amien Ach. Fahrizal
Published: June 2023

One indicator of the country's progress can be seen from the maternal mortality rate in which adolescents are the group of contributors to this figure. Pregnancy is unwanted to be the cause of maternal death because of the many complications during pregnancy and childbirth. Not to mention the other postpartum impacts that must be borne by adolescents. Many factors influence unwanted pregnancy, one of which is the factor of adolescent behavior itself, of course, there are many factors that influence adolescent behavior, which causes unwanted pregnancy. The aim of this study is to see what aspects of adolescent behavior affect unwanted pregnancies This study is a literature study of several journals, theses, and other scientific articles on behaviors that affect unwanted pregnancy in adolescents. Adolescent behavior factors for unwanted pregnancy include beliefs & perceptions about premarital sexual behavior and contraception. From a cognitive point of view where the level of knowledge related to pregnancy is undesirable. A negative attitude will encourage adolescents to engage in risky behavior. Adolescent motivation which becomes the reason for engaging in risky behavior is the need to fulfill adolescent lifestyles. The risky actions that affect unwanted pregnancies are the behavior of consuming alcohol, illegal drugs, and not using contraceptives.
RELATIONSHIP BETWEEN MOTIVATION AND COMPLIANCE OF NEWBORN MONITORING FORM
Authors: Mardianingsih Siti , Mutianingsih Rosa
Published: June 2023

West Lombok is one of the districts with the third highest birth rate in the province of NTB, with 13,867 births. Health problems are often not realized by mothers and families so early detection of complications is often overlooked. Through the family-based newborn monitoring form, it is hoped that it can be used for early detection of newborn health conditions. The purpose of this study was to determine the relationship between mother's motivation and adherence to filling out family-based newborn forms. This type of observational analytic research uses a cross-sectional design with a sample size of 72 respondents. The instrument used is a questionnaire. The resulting data were processed by bivariate analysis using the Chi-Square test. The results showed that out of a total of 72 respondents, it was found that 22 respondents (75. 9%) were motivated and obedient in filling out the family-based newborn monitoring form and those who were motivated but not 7 people (24.1%) obeyed in filling out the family-based newborn monitoring form, while 10 people (23.3%) had less motivation but were obedient in filling out the family-based newborn monitoring form. From the results of the Chi-Square test, it was found that there was a significant relationship between maternal motivation and adherence to filling out family-based newborn forms with a p-value of 0.0039 (p-value <0.05). Conclusion: there is a relationship between maternal motivation and compliance filling out the family-based newborn form.
Numerical Modeling of Mechanical Behavior of Functionally Graded PLA-ABS Produced via Fused Deposition Modeling: Experimental Observations
Authors: SEVİM Çağlar , CALISKAN Umut , DEMİRBAŞ Munise Didem , EKRİKAYA Safa , APALAK Mustafa Kemal
Published: June 2023

Functionally graded materials (FGM) have attracted considerable attention in the field of composite materials and rekindled interest in research on composite materials, due to their unique mechanical response achieved through material design and optimization. Compared to conventional composites, FGMs offer several advantages and exceptional properties, including improved deformation resistance, improved toughness, lightness properties, and excellent recoverability. This study focused on the production of functionally graded (FG) polymer materials by additive manufacturing (AM) method. FG structures were produced by the Fused Deposition Modeling (FDM) method using Acrylonitrile benzidine styrene (ABS) and Polylactic acid (PLA) materials and tensile tests were performed according to ASTM D638. The effects of different layer thicknesses, volume ratios, and total thicknesses on mechanical behavior were investigated. In addition, tensile tests were carried out by producing single-layer samples at certain volume ratios to create a numerical model with the Finite element method to verify the experimental data. As a result of this study, it is presented that the FG structure produced with FDM improves mechanical behavior.
Current State, Data Requirements and Generative AI Solution for Learning-based Computer Vision in Horticulture
Authors: Agrahari Baniya Arbind , Lee Tsz-Kwan (Glory) , Eklund Peter Werner , Aryal Sunil
Published: June 2023

The use of visual signals in horticulture has attracted significant attention and encompassed a wide range of data types such as 2D images, videos, hyperspectral images, and 3D point clouds. These visual signals have proven to be valuable in developing cutting-edge computer vision systems for various applications in horticulture, enabling plant growth monitoring, pest and disease detection, quality and yield estimation, and automated harvesting. However, unlike other sectors, developing deep learning computer vision systems for horticulture encounters unique challenges due to the limited availability of high-quality training and evaluation datasets necessary for deep learning models. This paper investigates the current status of vision systems and available data in order to identify the high-quality data requirements specific to horticultural applications. We analyse the impact of the quality of visual signals on the information content and features that can be extracted from these signals. To address the identified data quality requirements, we explore the usage of a deep learning-based super-resolution model for generative quality enhancement of visual signals. Furthermore, we discuss how these can be applied to meet the growing requirements around data quality for learning-based vision systems. We also present a detailed analysis of the competitive quality generated by the proposed solution compared to cost-intensive hardware-based alternatives. This work aims to guide the development of efficient computer vision models in horticulture by overcoming existing data challenges and paving a pathway forward for contemporary data acquisition.
Experimental Analysis and Machine Learning of Ground Vibra-Tions by Elevated High-Speed Railway Based on Random Forest and Bayesian Optimization
Authors: CAO Yanmei , Li Boyang , Xiang Qi , Zhang Yuxian
Published: June 2023

Aiming at the prediction of environmental vibrations induced by elevated high-speed railway, a machine-learning method is developed by combining random forest algorithm and Bayesian optimization, which using the dataset from on-site experiments . When it comes to achieving a rapid and effective prediction of environmental vibration, there is few research on com-parisons and verifications of different algorithms, and neither on parameter tuning and optimi-zation of machine learning algorithms. In this paper, a field experiment is firstly carried out to measure the ground vibrations caused by high-speed trains running on bridge, and then the en-vironmental vibration characteristics are analyzed in view of ground accelerations and weighted vibration levels. Subsequently, three machine-learning algorithms of linear regression, support vector machine and random forest are developed by using experimental database, and their prediction performance are discussed. Finally, two optimization models for the hyperparameter set of random forest algorithm are further compared. It turns out that the integrated random forest algorithm has higher accuracy in predicting environmental vibration than linear regression and support vector machine; the Bayesian optimization has excellent performance and high efficiency in achieving efficient and in-depth optimization of parameters, and can be combined with the RF machine learning algorithm to effectively predict the environmental vibrations induced by the high-speed railway.
The Effect of Bariatric Surgery on Nutritional Status and Biochemical Parameters: A Longitudinal Study
Authors: Ormancı Nese , Mercanlıgil Mehmet Seyit , Esatoglu Varol
Published: June 2023

This study was conducted to determine the nutrition and biochemical parameters of patients who underwent bariatric surgery at the preoperative stage and then followed up postoperatively at four-month, and eight-month intervals. A prospective longitudinal study was carried out with 37 obese patients (27 females, 10 males) who underwent sleeve gastrectomy (SG) at a private hospital between July 2021 and March 2022. Demographic characteristics, dietary intake, and some biochemical parameters of the patients aged between 19-64 years who underwent SG surgery were examined at the preoperative 0th month, postoperative 4th month, and 8th-month stage. The mean age was 34.78±9.52 years. When analyzing the 24-hour food intake carbohydrate intake showed a statistically significant relationship with gender and month of follow-up (p<0.05). Additionally, the protein, fat, total fiber, saturated fatty acid, polyunsaturated fatty acid, and monounsaturated fatty acid intakes for female participants showed a statistically significant relation to the month of follow-up (p<0.05). Body weight and BMI were statistically significant in relation to gender and month (p<0.05). Biochemical findings showed that fasting blood glucose, uric acid, ALT, GGT, triglyceride, TSH, and B12 vitamin levels were statistically significant according to gender and months of follow-up (p<0.05). Moreover, the creatinine, AST, HDL cholesterol, and free T4 levels of women were statistically significant in relation to months of follow-up (p<0.05). This study suggests that bariatric surgery has a positive effect on nutrition status and metabolic parameters. This leads to a reduction in oxidative damage in patients, thereby reducing the risk of the development and progression of multiple obesity-related comorbidities.
A Pilot Study of Family Integrated Care (FICare) in Critically Ill Preterm and Term Infants in the NICU: FICare Plus
Authors: Ansari Najmus Sehr , Franck Linda S. , Tomlinson Christopher , Colucci Anna , O’Brien Karel
Published: June 2023

Family Integrated Care (FICare) is associated with improved developmental outcomes and decreased parental mental health risks in stable preterm infants. However, less is known about its application in critically ill infants who are at greater risk for adverse outcomes. The objective of this study was to assess the safety and feasibility of implementation of FICare in critically ill infants in the first few weeks of life. In this prospective cohort study, 41 critically ill infants were enrolled: 17 in observational group receiving standard care (SC)and 24 in the FICare Plus group. Resources were developed for staff and parents to support earlier engagement in infant care. Outcomes were assessed using standardized questionnaires. The t-test or Wilcoxon Rank-Sum test were used to compare continuous variables, while Chi-square or Fisher exact test were used for categorical variables, respectively. Baseline maternal and infant characteristics were similar in both groups. The tools and procedures developed for FICare Plus successfully supported greater engagement in the care of their infant with no increase in adverse events and no increase in parent stress. Preliminary measures of infant efficacy were similar in both groups. Total anxiety scores were high among all parents at enrolment {83.1 (67-94) vs 77.3 (66-86); p-value 0.4}. However, the scores prior to discharge were lower in FICare Plus group {78 (71-90) vs 63 (52-74.5); p-value 0.02}. This pilot study showed that it is feasible and safe to implement family integrated care in critically ill infants.
Neonatal Bloodstream Infection with Ceftazidime-Avibactam-Resistant KPC-2 Producing- Klebsiella pneumoniae Carrying the VEB-25 Gene
Authors: Zarras Charalampos , Iosifidis Elias , Simitsopoulou Maria , Pappa Styliani , Kontou Angeliki , Roilides Emmanuel , Papa Anna
Published: June 2023

Buckground: Although ceftazidime/avibactam (CAZ/AVI) has become important option for treating adults and children, no recommendations exist for neonates. We report a neonatal sepsis case due to CAZ/AVI-resistant KPC-2 producing-Klebsiella pneumoniae carrying blaVEB-25 and the use of a customized active surveillance program in conjunction to infection control measures. Methods: The index case was an extremely premature neonate hospitalized for 110 days that had been previously treated with multiple antibiotics. Customized molecular surveillance was implemented at hospital level and enhanced infection control measures were taken for early recognition and prevention of outbreak. Detection and identification of blaVEB-25 was performed by next-generation sequencing. Results: That was the first case of a bloodstream infection caused by KPC producing K. pneumoniae that was resistant to CAZ/AVI without the presence of a metalo-β-lactamase in the multiplex PCR platform in a neonate. All 36 additional patients tested (12 in the same NICU and 24 from other hospital departments) carried wild-type blaVEB-1 but they did not harbor blaVEB-25. Conclusion: The emergence of VEB-25 is signal for horizontal transfer of plasmids at hospital facilities and it is of greatest concern for maintaining a sharp vigilance for surveillance of novel resistance mechanisms. Molecular diagnostics can guide appropriate antimicrobial therapy and early implementation of infection control measures against antimicrobial resistance.
Analyzing a SEIR-Type Mathematical Model of
SARS-COVID-19 Using Piecewise Fractional Order
Operators
Authors: Alharthi Nadiyah Hussain , Jeelani Mdi Begum
Published: June 2023

The continuing public health issue known as COVID-19 (the 2019 Novel Corona virus infection)
has a global emphasis. Despite (or perhaps because of) the fact that there are significant gaps
in our understanding of COVID-19 epidemiology, transmission dynamics, research methods, and
management breakout poses a new kind of global hazard. The good news is that there is currently
enough knowledge about the epidemic process to allow for the creation of mathematical forecasting
models. We modify a conventional SEIR epidemic model to the unique dynamic compartments and
epidemic features of COVID 19 as it spreads in a population with a diverse age structure. Although
many US states and other nations around the world followed lockdown and reopening processes,
we perform some analysis on using some techniques of the epidemic course. A new perspective of
fractional calculus known as piecewise derivatives of fractional order is used to study the proposed
model. Sufficient conditions are established to show the existence theory. In addition, a numerical
scheme based on Newton’s polynomials is established to simulate the approximate solutions of the
proposed model by using various fractional orders. Some real data results are also shown with
comparison of the numerical results.
Combining Novel Integration and the DEA Technique to Compute Dredging Productivity
Authors: Lai Hsin-Hung , Hsieh Wen-Ying
Published: June 2023

Construction productivity entails a wide range of work combinations. When human resources are scarce, it is critical to replace manpower with machinery, and calculating machinery productivity is crucial. Traditional labor productivity methods, however, cannot address dredging complex multi-attribute decision-making (MADM) problems. Aiming to address the limitations of the traditional labor productivity method, this paper extends the data envelopment analysis (DEA) and proposes a new dredging productivity evaluation method. The proposed method can solve the problem of evaluating various combinations of factors (single-input, multiple-input, sin-gle-output, and multiple-output) and the problem suggesting that the efficiency of the DEA method'scalculation results is equal to 1. The effectiveness of the proposed method was verified using reservoir dredging examples. The simulation results show that the proposed method has broad applicability, can accurately evaluate the related dredging performance issues, and provide directions for construction managers to improve labor productivity.
Hyperparameter Optimization for Landslide Susceptibility Mapping: A Comparison between Baseline, Bayesian and Metaheuristic Hyperparameter Optimization Techniques for Machine Learning Algorithms
Authors: Abbas Farkhanda , Zhang Feng , Ismail Muhammad x , Khan Garee , Iqbal Javed , Alrefaei Abdulwahed F. , Albeshr Mohammed Fahad
Published: June 2023

Algorithms for machine learning have found extensive use in numerous fields and applications. One important aspect of effectively utilizing these algorithms is tuning the hyperparameters to match the specific task at hand. The selection and configuration of hyperparameters directly impact the performance of machine learning models. Achieving optimal hyperparameter settings often requires a deep understanding of the underlying models and the appropriate optimization techniques. While there are many automatic optimization techniques available, each with its own advantages and disadvantages, this article focuses on hyperparameter optimization for well-known machine learning models. It explores cutting-edge optimization methods and provides guidance on applying them to different machine learning algorithms. The article also presents real-world applications of hyperparameter optimization by conducting tests on spatial data collections for landslide susceptibility mapping. Based on the experiment's results, both Bayesian optimization and metaheuristic algorithms showed promising performance compared to baseline algorithms. For example, the metaheuristic algorithm improved the overall accuracy of the random forest model. Additionally, Bayesian algorithms, such as Gaussian processes, performed well for models like KNN and SVM. The paper thoroughly discusses the reasons behind the efficiency of these algorithms. By successfully identifying appropriate hyperparameter configurations, this research paper aims to assist researchers, spatial data analysts, and industrial users in developing machine learning models more effectively. The findings and insights provided in this paper can contribute to enhancing the performance and applicability of machine learning algorithms in various domains.
Methods for Ensuring Stable Operation of Wind Turbines under Standard Disturbances in Distribution Networks
Authors: Simonov Aleksandr , Ilyushin Pavel , Suslov Konstantin , Filippov Sergey
Published: June 2023

In the context of energy decarbonization, wind farms with type IV wind turbines from various manufacturers are being massively put into operation. These wind turbines comply with the requirements of the grid codes of the countries where they are designed and/or manufactured, but do not factor in the specific features of the distribution networks of other countries to which they are connected. The study at issue involves a comparative analysis of the requirements of grid codes of different countries for the stable operation of wind turbines under standard disturbances. The Low Voltage Ride Through (LVRT) characteristic implemented in type IV wind turbine inverters makes it possible to prevent wind turbine shutdowns in case of short-term voltage dips of a given depth and duration. The calculations of transient processes indicate that wind turbines may not meet the requirements of the grid code of a particular country for their stable operation. As a result, standard disturbances will block the reactive current injection and the wind turbine will be switched off. This is often caused by the relay protection devices with a time delay of 1-2 s, which are used in distribution networks and implement the functions of long-range redundancy. Excessive shutdowns of wind turbines lead to emergency rise in the load for the generating units of conventional power plants, aggravating the post-accident conditions and disconnecting consumers of electricity. The paper presents a method for checking the LVRT characteristic settings for compliance with the technical requirements for wind turbines. To prevent wind turbine outages, one should either change the configuration of the LVRT characteristic, or upgrade the relay protection devices in the distribution network adjacent to the wind farm, or implement group or individual technical solutions at the wind farm. The performance of the proposed technical solutions is confirmed by the calculations of transient processes.
Novel Electrochemical Sensor Based on MnO2 Nanowire Modified Carbon Paper Electrode for Sensitive Determination of Tetrabromobisphenol A
Authors: Zhu Chunmao , Wu Qi , Yuan Fanshu , Liu Jie , Wang Dongtian , Zhang Qianli
Published: June 2023

In this paper, MnO2 nanowire (MnO2-NW) modified carbon paper (CP) electrode was developed as a novel electrochemical sensor for sensitive determination of tetrabromobisphenol A (TBBPA). MnO2 nanowire was prepared by a hydrothermal synthesis method, and the morphology and structure of MnO2 were characterized using scanning electron microscopy, X-ray diffraction and X-ray photoelectron spectroscopy. Electrochemical performance of TBBPA on MnO2-NW/CP was investigated by cyclic voltammetry, and the result confirmed that MnO2-NW/CP exhibited excellent sensitive for the determination of TBBPA due to the high specific surface area and good electrical conductivity of the nanowire-like MnO2. Moreover, the important electrochemical factors such as pH value, incubation time and modified material proportion were systematically studied to improve the determination sensitivity. The interferences from similar structure compounds on TBBPA have also been investigated. Under the optimal conditions, MnO2-NW/CP displayed the linear range of 70 500 nM for TBBPA with the detection limit of 3.1 nM, which was superior to some electrochemical methods in references. The work presents a novel and simple method for the determination of TBBPA.
Fabrication and Characterization of Tissue-Engineered Carboxymethyl Cellulose Scaffolds Containing Spider Silk-Derived Fibroin Protein for Osteogenic Differentiation
Authors: Lee Woong Jin , Cho Kyoungjoo , Kim Aaron Youngjae , Kim Gyung Whan
Published: June 2023

This study aimed to investigate the characteristics of composite scaffolds in combination of fibroin and carboxymethyl cellulose (CMC) in bone tissue engineering. Fibroin is a useful biomaterial and is a major component of silk yarns composed of fibrous proteins. Improving for binding efficiency in bone formation after implanted scaffold, CMC was added to fibroin. CMC could improve injectable characters in bone substitutes by adding in scaffold material, fibroin. The porous shapes, porosity, surface wettability, water absorption, and thermal properties of the CMC added fibroin scaffold were better than fibroin only scaffold. For tissue engineering of bone marrow mesenchymal stem cells (BMSCs), BMSCs isolated from mice were seeded onto the scaffold, and the cell proliferation rate was measured. alkaline phosphatase activity in BMSCs was higher in the scaffold containing CMC than that in the scaffold containing fibroin alone. The expression levels of osteocyte marker genes and proteins were increased in the CMC scaffold. The biocompatibility and hydrophilicity of CMC scaffolds play important roles in the growth and proliferation of osteocytes. Furthermore, the CMC scaffold design proposed in this study could play an important role in facilitating cartilage, ossification, and nerve differentiation of BMSCs.
Effect of Monodisperse Coal Particles on the Maximum Drop Spreading after Impact on a Solid Wall
Authors: Ashikhmin Alexander , Khomutov Nikita , Volkov Roman , Piskunov Maxim , Strizhak Pavel
Published: June 2023

The effect of coal hydrophilic particles in water-glycerol drops on the maximum diameter of spreading along a hydrophobic solid surface is experimentally studied by analyzing the velocity of internal flows by Particle Image Velocimetry. The grinding fineness of coal particles was 45-80 μm and 120-140 μm, their concentration was 0.06 wt.% and 1 wt.%. The impact of particle-laden drops on a solid surface occurred at Weber numbers (We) from 30 to 120. It is revealed the interrelated influence of We and the concentration of coal particles on changes in the maximum absolute velocity of internal flows in a drop within the kinetic and spreading phases of the drop-wall impact. A physical model is formulated for internal convective flows in the longitudinal section of a drop parallel to the plane of the solid wall. The kinetic energy of translational motion of coal particles in a spreading drop compensates for the energy expended by the drop on sliding friction along the wall. At We=120, the inertia-driven spreading of the particle-laden drop is mainly determined by the dynamics of the deformable Taylor rim. An increase in We contributes to more noticeable differences in the convection velocities in spreading drops. When the drop spreading diameter rises at the maximum velocity of internal flows, a growth of the maximum spreading diameter occurs. The presence of coal particles causes a general tendency to reduce the drop spreading.