bluuebunny/crossref_metadata_2025 huggingface dataset:
Mascara University’s master didactics students' anxiety about research topic choice
Authors: Bekkar Miloud
Published: December 2022

It is argued that the most critical moment in performing research work is the topic choice. This challenging step comes before undertaking any research work. Almost, the most common researcher’s anxiety that comes to his/her mind is about the success or on the contrary, the failure of the topic choice. This research aims to tackle the common challenges and difficulties while choosing one’s research problem. The study targets a group of postgraduate students of the English language Department at the University of Mascara. Around 25 subjects representing Master II 2021–2022 promotion participated in this study. The research tools include a questionnaire with students and a teacher’s experience in teaching Research Methodology Module at Mascara University. Most participants prefer the topics proposed by their future supervisors. Also, the study tempts to give recommendations for developing students’ research topics and titles.       

Keywords: Methodology, research work, students, topic choice;
Autoethnographic approach in art experience
Authors: Morkoç Mehtap , Ertürk Funda Susamoğlu
Published: December 2022

This study is on production as the experience of art and how this production is conceptualised with the autoethnography. Even though it was formed by the qualitative research method and comes from the background of writing, in time, autoethnography crossed paths with the practice of visual expression. The reasons for this intersection are the variety of representations in the 1990s when the processes of literary and visual research went hand in hand. The fact that artists, through the concept of autoethnography, turned into researchers who describe their own forms of production has enabled the concept to be discussed in a variety of fields. This study on the autoethnographic approach in the experience of art is based on samples from the works of Pia Arke and Mehtap Morkoç’s production practices to illustrate autoethnography and the place of autoethnography in the practice of representation.
EVALUATION OF THE RESULTS OF FRENULOPLASTY USING A DIODE LASER IN CHILDREN
Authors: Fomenko Irina V. , Kroman Yulian O. , Kasatkina Anzhella L. , Timakov Ilya E. , Fursik Denis I.
Published: December 2022

The article is devoted to the analysis of the results of surgical treatment of ankyloglossia in children using a diode laser. The patients were divided into three age groups. The immediate and long-term results of treatment were evaluated. The postoperative period was favorable in 98,5 % of cases. After 6-9 months, very good and good treatment results were most common in the first age group (96,4 %). Improvement or normalization of sound pronunciation was noted in 86,7 % of all operated children.
ANALYSIS OF CLASSICAL AND MODERN METHODS OF BIOMETRIC EXAMINATION OF DENTAL ARCHES IN THE PERIOD OF PERMANENT TEETH (LITERATURE REVIEW)
Authors: Shkarin Vladimir V. , Dmitrienko Tatyana D. , Kochkonyan Taisiya S. , Dmitrienko Dmitry S. , Yagupova Violeta T.
Published: December 2022

A review of the literature on the methods of biometric diagnostics was conducted. The aim of the work was to analyze the classical and modern methods of odonometrics and biometrics of dental arches. The analysis of domestic and foreign literature showed the feasibility of conducting additional research, using modern ideas about the options for the shape and size of dental arches. The analysis is devoted not only to the clarification of data on the individual norm, but also to diagnose various forms of anomalies and deformations of dental arches in different directions. This review will help researchers determine the best methods of biometrics in the study of certain types of dental arches. In addition, clinicians can choose biometric methods for predicting dental arches, which must be guided in the treatment of patients, choose the design of orthodontic devices and dentures, taking into account the requirements of individual medicine.
Pengaruh Model Pembelajaran Berbasis Masalah Terhadap Kemampuan Berpikir Tingkat Tinggi Siswa Kelas IV SDN Mojosari 01 Kabupaten Jember
Authors: Putri Sendy Ardiana , Nuriman Nuriman , Wardoyo Arik Aguk
Published: December 2022

Tujuan penelitian ini adalah untuk mengetahui ada atau tidaknya pengaruh model pembelajaran berbasi masalah terhadap kemampuan berpikir tingkat tinggi siswa kelas IV SDN Mojosari 01 Kabupaten Jember. Model pembelajaran berbasis masalah mampu meningkatkan kemampuan berpikir tingkat tinggi, karena siswa diberikan permasalahan untuk memecahkan permasalahan sendiri. Jenis penelitian adalah eksperimen dengan menggunakan desain quasi experimental design dan pola non equivalent control group design. Populasi penelitian adalah 54 siswa kelas IV SDN Mojosari 01 Kabupaten Jember. Mengukur kemampuan berpikir tingkat tinggi siswa menggunakan tes. Data dianalisis dan dilakukan perhitungan uji t berbantuan SPSS versi 23 diperoleh nilai thitung 4,917 dan ttabel 2,00665, membuktikan thitung (4,917) ≥ ttabel (2,00665), maka hipotesis Hα ada pengaruh model pembelajaran berbasis masalah terhadap kemampuan berpikir tingkat tinggi siswa kelas IV SDN Mojosari 01 Kabupaten Jember diterima. Hasil pretest-posttest didapatkan nilai rata-rata kelompok kontrol yaitu 10,37 dan kelompok eksperimen yaitu 17,59. Hasil perhitungan uji keefektifan relatif diperoleh 51,645%, maka kemampuan berpikir tingkat tinggi kelompok eksperimen (IVB) menerapkan pembelajaran berbasis masalah lebih efektif.
Pengaruh Model Problem Based Learning (PBL) terhadap Hasil Belajar IPS Tema 7 Subtema 1 Kelas IV SDN Wonosari 01 Bondowoso
Authors: Niar Yolanda Bela , Fitriyah Chumi Zahroul , Puspitaningrum Dyah Ayu
Published: December 2022

Penelitian ini bertujuan untuk meningkatkan hasil belajar IPS tema 7 subtema 1 kelas IV SDN Wonosari 01 Bondowoso dengan mengimplementasikan model Problem Based Learning(PBL).Jenis penelitian ini adalah penelitian eksperimen. Subjek penelitian ini adalah siswa kelas IVA dan IVB. Teknik penggumpulan data penelitian ini adalah observasi, wawancara, dokumen, dan tes. Hasil uji-t dihitung dengan menggunakan SPSS versi 22, mendapatkan hasil rata-rata sebelum dan sebelum diberikan perlakuan. Rata-rata setelah diberi perlakuan IVB kelompok kelas eksperimen adalah 20.4545 dan rata-rata setelah diberi perlakuan IVA kelompok kelas kontrol adalah 8.4000. Menghitung hasil menggunakan uji-t berbantuan SPSS dan mendapatkan hasil adalah 6.377, yaitu diketahui db= (22 + 25) – 2 = 45 pada taraf signifikan 5% atau 0,05 sehingga nilai adalah 1.683 dan hasil uji-t adalah 6.377 1.683. Hasil uji keefektifan relatif adalah 83% yang termasuk dalam kategori sangat tinggi. Data yang diperoleh dengan melakukan uji hipotesis pada taraf signifikan 5% atau 0,05. Hasil penelitian yang diperoleh yaitu ≥ , maka pada hipotesis nihil pada () ditolak dan pada diterima yang artinya ada pengaruh positif dari penerapan model PBL terhadap hasil belajar IPS kelas IV pada tema 7 subtema 1 di SDN Wonosari 01 Bondowoso yang berarti adanya pengaruh yang positif dan signifikan dari penerapan model PBL terhadap hasil belajar IPS tema 7 subtema 1 kelas IV SDN Wonosari 01 Bondowoso

Kata Kunci : Berpikir Kritis. Pembelajaran Berbasis Masalah . Hasil Belajar.
The practicality of interleukin-6 in prognosis of blunt chest trauma in Korea: a retrospective study
Authors: Oh Jeong Woo , Lee Tae Yeon , Chae Minjeong
Published: December 2022

Purpose: There are many studies on the practicality of interleukin-6 (IL-6) as a prognostic predictor in patients with multiple severe traumas. However, few studies focus on the practicality of IL-6 in patients with chest trauma. So, this study investigated whether IL-6 is effective as a prognostic factor in patients with blunt chest trauma.Methods: A total of 44 blunt chest trauma patients who visited the regional trauma center from July to December 2021 were included in this retrospective study. Blood IL-6 levels were measured immediately after emergency room admittance (IL-6 E) and 24 hours after trauma (IL-6 24). To determine whether IL-6 levels can predict the clinical course and prognosis of patients with blunt chest trauma, the correlation between IL-6 (IL-6 E and IL-6 24) and the trauma score system, Injury Severity Score, Thoracic Trauma Severity Score, and Pulmonary Contusion Score, intensive care unit (ICU) stay period, and total hospitalization period were analyzed.Results: IL-6 E showed a good correlation with Injury Severity Score (P=0.505), Thoracic Trauma Severity Score (P=0.597), Pulmonary Contusion Score (P=0.493), ICU stay period (P=0.762), and total hospitalization period (P=0.662). However, IL-6 24 had a relatively low correlation compared to IL-6 E. Therefore, IL-6 E showed useful results for predicting the prognosis of patients with blunt chest trauma.Conclusions: Early plasma IL-6 levels (IL-6 E) can predict the injury severity of blunt chest trauma, length of ICU stay, and total hospitalization period.
literature review: The effect of honey in pressure ulcer wound healing acceleration
Authors: Ariani Yuni , Aliyatur Titin , Wicaksono Bambang
Published: December 2022

Background: Pressure ulcers occur due to prolonged pressure and friction in areas of bony prominences that result in tissue injury with varying depths. To date, there is no standardized wound dressing for these ulcers. From the review of the availability and affordability aspects, honey can be used as a wound dressing because it contains anti-oxidants, anti-inflammatory, and anti-bacterial properties. This article investigates the advantages of honey dressing over other modern dressings.
Methods: Literature search from online databases using relevant keywords. A total of three articles were discussed in this review article. 
Results: All articles agreed that giving honey to pressure ulcer wounds reduced wound size and pain. Honey-soaked gauze provided quicker pain relief during treatment and reduced discomfort with each dressing change. Wound healing was proven to be four times faster with honey compared to other topical dressings. The anti-bacterial effect of honey could not be significantly confirmed in this study. Nonetheless, honey dressings succeeded in accelerating wound healing in patients with pressure ulcers.
Conclusion: Honey can be a promising alternative to topical dressings in patients with pressure ulcers.
Option Pricing: Examples and Open Problems
Authors: Halidias Nikos
Published: December 2022

The option pricing problem is equivalent with the hedging problem of the option, i.e. what the writer should do in order to hedge the risk that she undertakes selling a contract and moreover what is the probability of profit selling at a specific price. The probability of profit is also a useful information for the buyer. The hedging strategy should be practically possible for the writer otherwise has no meaning. In this note we will discuss the option pricing problem and in particular the effect of the volatility on the binomial model which is a way to hedge practically a specific option in contrast to every pricing model that assumes rebuilding of the replicating portfolio continuously in time. In order to use the binomial model we have to modified it accordingly as we have seen in a previous paper. We also point out three open problems regarding the binomial option pricing model.
Thermochemistry of Sulfur-Based Vulcanization and of Devulcanized and Recycled Natural Rubber Compounds
Authors: Cataldo Franco
Published: December 2022

The vulcanization of rubber compounds is an exothermal process. A carbon black-filled and natural rubber-based (NR) formulation was mixed with different levels of sulfur (0.5, 1.0, 2.0, 4.0 and 6.0 phr) and studied with Differential Scanning Calorimetry (DSC) for the determination of the vulcanization enthalpy. It was found that the vulcanization enthalpy is dependent from the amount of sulfur present in the compound and the vulcanization heat released was -18.4 kJ/mol S if referred to the entire rubber compound formulation or -46.0 kJ/mol S if the heat released is referred only to the NR present in the compound. The activation energy for the vulcanization of the rubber compounds was also determined by a DSC study at 49 kJ/mol and found quite independent from the sulfur content of the compounds under study. A simplified thermochemical model is proposed to explain the main reactions occurring during the vulcanization. The model correctly predicts that the vulcanization is an exothermal process although it gives an overestimation of the vulcanization enthalpy which is larger for the EV vulcanization package and smaller for the conventional vulcanization system. If the devulcanization is conducted mechanochemically in order to break selectively the sulfur-based crosslinks, then the natural rubber compounds recovered from used tires can be re-vulcanized again and the exothermicity of such process can be measured satisfactorily with DSC analysis. This paper not only proposes a simplified mechanism of vulcanization and devulcanization but also proposes an analytical method to check the devulcanization status of the recycled rubber compound in order to distinguish truly devulcanized rubber from reclaimed rubber.
Compressed Video Quality Assessment for Super-Resolution: A Benchmark and a Quality Metric
Authors: Bogatyrev Evgeney Nikolaevich , Molodetskikh Ivan Andreevich , Vatolin Dmitriy Sergeevich , Galaktionov Vladimir Alexandrovich
Published: December 2022

We developed a super-resolution (SR) benchmark to analyze SR capabilities to upscale compressed videos. The dataset for the benchmark was collected using video codecs of 5 different compression standards. We assessed 17 state-of-the-art SR models using our benchmark and evaluated their ability to preserve scene context and their robustness to compression artifacts. To get an accurate perceptual ranking of SR models, we conducted a crowd-sourced side-by-side comparison of SR results. We also analyzed the results of the benchmark and developed an objective quality assessment metric based on existing best-performing objective metrics. Our metric outperforms other video quality metrics by Spearman correlation with subjective scores for the task of upscaling compressed videos.
Evaluasi Penerapan Quizizz dalam Pembelajaran Informatika Menggunakan Gibb's Reflective Learning Cycle
Authors: Arninda Dianty
Published: December 2022

Dalam pembelajaran guru masih menggunakan metode yang sederhana masih menggunakan media papan tulis untuk menulis serta power point untuk menyajikan pembelajaran. Pada kegiatan pembelajaran guru selalu memberikan pertanyaan supaya peserta didik fokus mengikuti pembelajaran. Namun Ketika anak diberikan pertanyaan cenderung diam dan kurang aktif. Hal tersebut disebabkan kurangnya pemahaman siswa karena guru memberikan pembelajaran hanya dengan ceramah dan evaluasi belajar hanya menggunakan soal tulis yang membosankan sehingga hasilnya pun masih kurang memuaskan. Supaya kita mengetahui keberhasilan proses pembelajaran maka dapat kita lihat dari sejauh mana siswa dapat menyerap materi pembelajaran. Tujuan dari penelitian ini adalah memahami persepsi guru dan peserta didik terhadap penerapan Quizizz sebagai media evaluasi dalam pembelajaran. Harapannya dengan mengetahui persepsi guru dan peserta didik dapat dijadikan landasan untuk meneruskan penggunaan Quizizz sebagai media evaluasi dalam pembelajaran. Dari penelitian ini ditemukan bahwa penggunaan Quizizz memiliki peranan dalam proses pembelajaran pada mata pelajaran Informatika. Proses pembelajaran menjadi lebih menyenangkan, anak lebih mendalami pembelajaran, serta dengan Quizizz akan menumbuhkan sikap kompetitif pada peserta didik. Hal yang sebelumnya tidak terjadi pada interaksi secara langsung. Sebagai evaluasi pembelajaran jumlah evaluasi yang mempengaruhi keaktifan siswa pada pemanfaatan Quizizz.
LA CLASIFICACIÓN ARANCELARIA, EL CUMPLIMIENTO DE LAS REGULACIONES ARANCELARIAS Y NO ARANCELARIAS DE LOS PRODUCTOS MÁS UTILIZADOS DURANTE LA PANDEMIA SARS-COV-2 EN MÉXICO
Authors: Delfín Aguilar Brenda Berenice , Díaz Vázquez Elva Nydia
Published: December 2022

La clasificación arancelaria es el método utilizado para determinar la fracción arancelaria de las mercancías objeto de comercio exterior; con ello se conoce el impuesto general de importación, así como las regulaciones y restricciones no arancelarias que cada mercancía debe cumplir al momento de ser importadas a nuestro país. México es miembro de la Organización Mundial de Aduanas, motivo por el cual utiliza la nomenclatura internacional del Sistema Armonizado de Designación y Codificación de Mercancías, con la creación de la Ley de los Impuestos Generales de Importación y Exportación, la cual contiene la Tarifa de los Impuestos Generales de Importación y Exportación. Recientemente se ha realizado un significante intercambio comercial de productos relacionados con la pandemia mejor conocida como COVID-19, es por ello que en el presente artículo se muestra la fracción arancelaria y las regulaciones no arancelarias de los productos más utilizados durante la contingencia sanitaria.
EL BULLYING (ACOSO ESCOLAR): FACTOR CRIMINÓGENO Y DETONANTE EN EL ORIGEN DE LOS ADOLESCENTES INFRACTORES DE CIUDAD JUÁREZ CHIHUAHUA
Authors: Herrera Hernández Adán
Published: December 2022

La presente investigación se plantea desde un enfoque criminológico, estudiando el bullying (acoso escolar) como tema de estudio dentro de la nueva criminología. Se trata de una investigación documental, de campo exploratoria, cualitativa y transversal, ya que se basó en hechos y conductas predelictivas y delictivas de una muestra de sesenta de adolescentes infractores recluidos en la Escuela de Mejoramiento Social para Menores en Ciudad Juárez, Chihuahua. Los resultados de dicho estudio permiten medir la prevalencia correlacional entre el bullying y fracaso escolar, uso de drogas y la poca o nula aceptación de reglas, tanto en el entorno familiar como en el escolar, así como conductas predelictivas que pueden predecir futuras conductas criminales en los adolescentes. Son datos recolectados que en primera instancia deducen cómo la práctica indiscriminada de bullying puede revelar conductas criminales y la importancia de implementar una materia dentro del plan de estudios de nombre Ciencias de la prevención, que permitiría que los alumnos conozcan dos temas de gran importancia: la prevención del delito y la prevención victimal, para con ello, evitar la victimidad y la personalidad antisocial en los centros escolares.
Research Profile of Discovery Learning in Physics Learning During the COVID-19 Pandemic
Authors: Prahani Binar Kurnia , Jatmiko Budi , Amelia Tan , Neswary Shalsa Billa Ardhana , Arzak Kirana Aureola , Qotrunnada Nova Allysa
Published: December 2022

This research aims to analyze the application of discovery learning to physics learning during the COVID-19 pandemic. This research method is a study of literature and journals, as many as ten journals that can be accounted for related to the application of discovery learning research models to physics learning during the COVID-19 pandemic in Indonesia. The study was analyzed using qualitative descriptive analysis with paper review technique. It was concluded that: 1) The application of the discovery learning model to physics learning during the COVID-19 pandemic can improve student understanding, students’ critical thinking ability, and mastery of student concepts. 2) The use of online learning tools and discovery learning-based e-modules can improve students’ mastery of concepts in physics learning during the COVID-19 pandemic. 3) The advantages of the discovery learning model in physics learning during the COVID-19 pandemic are that it can improve cognitive abilities and form students’ disciplined and positive attitudes. 4) The flexibility of the discovery learning model in physics learning during the COVID-19 pandemic is that students have difficulty understanding the material, and teachers find it difficult to present the material, so the application of the discovery learning model in physics learning during the COVID-19 pandemic in Indonesia is not all effective.
DETERMINANTS OF WORK ENGAGEMENT DURING PANDEMIC: THE CASE OF ISLAMIC BANKING WORKERS
Authors: Jannah Syayyidah Maftuhatul , Primadineska Rasistia Wisandianing
Published: December 2022

This study analyzes the role of emotional intelligence and resilience in work engagement of employees in the Islamic banking industry during the Covid-19 pandemic. To this end, it gathers data from 364 Islamic bank employees. Using the PLS-SEM for data analysis, the results show positive and significant effects of emotional intelligence and resilience on the work engagement. The emotional intelligence also had a positive influence on resilience. This shows that positive forces from within the individual affect the productivity of organizational members during current pandemic. The implication of the results of this study for management is the need for special attention toward developing the positive potential of individuals so that each member of the organization has good emotional intelligence and resilience.
ASYMMETRIC CAUSAL LINKAGES BETWEEN LIQUIDITY AND PROFITABILITY FOR MENA ISLAMIC BANKS
Authors: Ben Jedidia Khoutem , Salah Ines Ben
Published: December 2022

This paper investigates the impact of liquidity on Islamic bank profitability. We examine the existence of asymmetric causal linkages or structural shifts in the profitability-liquidity nexus for a sample of 34 Islamic banks in the Middle East and North Africa (MENA) countries over the period 2005-2017 using the Panel Threshold Regression and controlling for the bank-specific and macroeconomic variables. Empirical evidence highlights a non-linear relationship between liquidity and Islamic bank profitability. Indeed, there is a significant negative relationship between liquidity and profitability if the ratio of loan/total assets does not exceed the threshold. Contrariwise, liquidity positively affects profitability. Furthermore, the empirical evidence shows that bank size is adversely related to banks’ profitability given the economies of scale issues of Islamic banks. The CAR impact is well emphasized above and below the threshold. We highlight that Islamic banks face a trade-off between liquidity and profitability. They are recommended to strengthen the liquidity risk management instruments to improve their profitability notably within a framework of Basel III liquidity requirements to maintain adequate high-quality liquid assets.
Design and Evaluation of a Virtual Flowmeter for Multiphase Flow in Production Lines
Authors: Chaves G. S. , Karami H. , Ferreira Filho V. J. M.
Published: December 2022

Flow rate is a valuable piece of information for the oil and gas industry. High accuracy on flow rate estimation enhances the operations that control and manage production. Recognized as a cost-efficient solution, the virtual flowmeter (VFM) is a mathematical-based technology designed to estimate the flow rates using available field instrumentation. The VFM approach developed in this work combines black-box simulations with mixed-integer linear programming (MILP) problems to obtain flow rates while dismissing the tuning process. The methodology includes a set of multiphase flow correlations. The MILP estimates the flow rate and designates the best-fit model. The VFM is evaluated against 649 well test data. The methodology presents a 4.1% absolute percentage error (APE) for the 25th percentile and 13.5% APE for the 50th percentile of the data. The methodology dismisses the model tuning process, which would require flow rate data. This makes the methodology valuable, particularly in scenarios where historical data are scarce or unavailable.
Low Free Thyroxine is associated with a higher prevalence of lower extremity arterial disease in Euthyroid Type 2 Diabetes Mellitus
Authors: Zhao Man , Zeng Zekun , He Qingyuan , Wang Rong , Zhang Min , Ruan Banjun , Chen Pu
Published: December 2022

Background
Recent studies suggest that higher concentrations of free triiodothyronine (FT3) were associated with a lower prevalence of microangiopathy in adult euthyroid people with type 1 diabetes. This study was performed to identify the association between thyroid hormones and lower extremity arterial disease (LEAD) in euthyroid patients with type 2 diabetes mellitus (T2DM).
Methods
1052 T2DM patients with normal thyroid function were enrolled, including 704 patients with LEAD as observation group and 348 patients with T2DM alone as control group. The differences in basic data, biochemical indexes, thyroid hormone between the two groups were compared. At the same time, the correlation between the incidence of LEAD and thyroid hormone was analyzed.
Results
The logistic regression analysis revealed that FT4 was significantly associated with the incidence of LEAD in T2DM patients, and the prevalence of LEAD increased gradually from the highest FT4 quartile to the lowest FT4 quartile (P < 0.05).
Conclusions
Patients with low FT4 had a higher prevalence of diabetic LEAD, suggesting that adjusting FT4 levels may better regulate metabolism and thus reduce lower extremity arterial injury.
Performance analyses of step-counting algorithms using wrist accelerometry
Authors: Pilkar Rakesh , Gerstel Dawid , Toole Ethan , Biggs Matt , Guthrie Tyler , Karas Marta , Achkar Christopher Moufawad el , Renevey Philippe , Soltani Abolfazl , Sloan Sarah , Nguyen Joe , Patterson Matthew R , Ferrario Damien , Lemay Mathieu , Neishabouri Ali , Guo Christine
Published: December 2022

Step count is one of the most used real-world (RW) outcomes for understanding physical functioning, activity, and overall quality of life. In the current investigation, we systematically evaluated the performances of modern wrist-accelerometry-based algorithms based on peak detection, autocorrelation, moving-average vector magnitude (MAVM), template matching, movement frequency detection, and machine learning on a common dataset that included continuous walking trials of varying speeds and regularities. The accuracies were computed with respect to the ground truth step count derived using smartphone-based video recordings. On average, the movement frequency detection-based and ML-based algorithms outperformed the other algorithms showing the highest accuracies across all trials (95.3 ± 6% to 96.7 ± 6.41%). The other algorithms showed varied accuracies ranging from 59.8 ± 41% to 90.11 ± 10.3%. Most algorithms showed relatively lower accuracies for 1-minute slower walks and showed relatively higher accuracies for the longest walking trials of 6-minute. Except for two algorithms (autocorrelation and template-based), all algorithms showed no significant effect of the device type (CentrePoint Insight Watch vs GT9X) as well as device placement (left wrist vs right wrist) on accuracies for all trials. The smartphone-based step detection algorithm showed the lowest accuracies and variability suggesting the need for fit-for-purpose algorithms in step count estimation using wrist accelerometry. The current investigation provides essential evidence to facilitate the application of wearable digital health technologies in clinical research and care.
Leveraging phylogenetic signal to unravel microbial community function and assembly rules
Authors: de Carcer Daniel Aguirre , Parras Marcos , Talavera-Marcos Silvia
Published: December 2022

Clarifying the general rules behind microbial community assembly will foster the much-anticipated microbiome-based technological revolution. We followed the cue of the existence of phylogenetic signal in microbial communities, and knowledge that ecological function shows some degree of phylogenetic conservatism, to explore community assembly rules. The strategy gravitated around the computational analysis of phylogenetic core groups (PCGs); discrete portions of the phylogeny characteristic of an ecosystem. We first show that PCGs are a prevalent and predominant feature of microbial ecosystems. Then, we re-analyzed an experimental dataset drawing only from its community composition data and freely available genomic databases. Using mainly genome scale metabolic models and population dynamics modeling, we obtained ecological insights on metabolic niche structure and population dynamics comparable to those gained after canonical experimentation. Leveraging phylogenetic signal to help unravel microbiome function and assembly rules offers an inexpensive avenue to gain insights into Earth’s microbial ecosystems.
The development and breeding practice of molecular markers for peach skin blush
Authors: Guo Tianfa , Wang Jiao , Lu Xinxin , jinlong wu , Wang Lirong
Published: December 2022

Peach is an economically important fruit tree crop worldwide. The external color of fruit impairs peach price, especially fruits with different degrees blush. Developing varied skin color cultivars by molecular breeding is expected to satisfy the market demands for diverse peach fruits. Although, the variations in key genes regarding whether the skin is colored have been found, their markers have not really been widely used in the breeding process, and the molecular marker development of peach skin blush awaits promotion and application. The goal of this study was to explore the variations related to peach skin color, and to develop molecular markers for breeding based on variations. By analyzing the expression of anthocyanin synthesis-related and regulatory genes, we confirmed that the MYB10.1 is a key gene control skin color. We further found that 5243 bp insertion and 483 bp deletion in MYB10.1 promoter were closely related to peach skin color phenotype. In addition, we identified one transposon insertion mutation at the − 2706 bp position of MYB10.1 promoter related to non-red fruit skin trait and developed a marker for validation. The size of the insertion amplified from the ShiYuBaiTao genome DNA was approximately 3.5 kb. However, it does not completely explain the phenomenon of non-red skin of peach just as MYB10.1-2/MYB10.1-2 and accuracy were 36.1% in this study. Based on the results of this work, we propose that MYB10.1-2/MYB10.1-2 should not only be a genotype of non-red skin, but also should be combined with other makers to predict the color of peach skin color.
DOS attack Network Traffic Monitoring in Software Defined Networking using Mininet and RYU Controller
Authors: Jaiswal Amit Kumar
Published: December 2022

Software Defined Networking (SDN) is a revolutionary networking design that isolates forwarding hardware from control decisions. The separation of the control plane from the data plane creates a number of issues, including security, dependability, load balancing, and traffic engineering. Dreadful security concerns in SDNs include denial of service (DoS) and distributed denial of service (DDoS) attacks. In SDNs, for example, DoS/DDoS attacks might overwhelm the control plane, data plane, or communication channel. In this study The SDN setup and installation approach used is a Mininet emulator with a controller Ryu with switching hub component, OpenFlow switches, and nodes. In SDN, we will use several Dos and DDos attack methods such as (simple ping, force ping, and aggressive ping) to generate traffic in various topology such as (single, linear, and tree). We will discuss the intensity of effect in all distinct ping topology. Furthermore, we examine the various methodologies and tools used to execute the improved solutions. Finally, we discuss potential future research approaches for dealing with DoS/DDoS assaults in SDNs.
Involvement of relatives during End Of Life care in Emergency Departments: comparison between the perceptions of physicians and nurses
Authors: Roussel Mélanie , Fourcade Claire , Douplat Marion , Conte Philippe Le , Freund Yonathan , Truchot Jennifer
Published: December 2022

Background: There is a lack of research focused on the management and involvement of relatives of patients admitted for End Of Life (EOL) in the Emergency Department (ED). Relatives should be included in the decision process of withholding or withdrawing life support however whether the relatives should be involved in the specific palliative care in the ED is not known. Healthcare workers (HCW) may have mixed feelings and therefore behaviors regarding their participation
Aim: This study aims to evaluate HCW perceptions regarding the patients’ relative’s involvement during EOL care in the ED. The secondary objective was to assess the acceptability of analgesia controlled by patients’ relative through an opioid patient-controlled analgesia (PCA) pump.
Design: An online survey designed by a panel of emergency physicians and experts in palliative care was shared to HCW from 3 countries.
Results: A total of 1408 HCW from 145 EDs answered the survey, including 758 (54%) physicians and 650 (46%) nurses. Only 185 responders (13%) considered that relatives were spontaneously willing to participate in EOL care. Only 10% of ED HCW responders declared that they used PCA over continuous intravenous infusion, compared to 68% in palliative care.
Conclusions: The variety of current practices regarding the involvement of relatives in the care of EOL patients in the ED warrants future research to improve EOL care.
Structure-based design of biocatalytic panels for pharmaceuticals synthesis
Authors: Yu Yuqi , Casamajo Arnau Rue , Finnigan William , Schnepel Christian , Barker Rhys , Morrill Charlotte , Heath Rachel , De Maria Leonardo , Turner Nicholas , Scrutton Nigel
Published: December 2022

Biocatalysis is emerging as an attractive option for manufacturing pharmaceuticals. However, the identification of enzymes for target transformations of interest requires major screening efforts. Here we report a structure-based computational workflow to prioritize protein sequences by a score based on predicted activities on substrates, thereby reducing resource intensive laboratory-based biocatalyst screening. We selected imine reductases (IREDs) as a class of biocatalysts to illustrate the application of the computational workflow termed IREDFisher. Validation by using published data showed that IREDFisher can retrieve the best enzymes and increase the hit rate by identifying the top 20 ranked sequences. The power of IREDFisher is confirmed by computationally screening 1,400 sequences to identify suitable biocatalysts for five selected reductive amination reactions. IREDFisher is available as a user-friendly web interface that will enable rapid identification of biocatalysts for applications in synthesis and directed evolution studies with minimal time and resource expenditure.
Classification of age-related macular degeneration using very deep learning neural network based on transfer learning
Authors: Le Ngoc Thien , Le Truong Thanh , Itthipanichpong Rath , Pongsachareonnont Pear Ferreira , Mavichak Apivat , Suwajanakorn Disorn , Benjapolakul Watit
Published: December 2022

Background: Detecting and classifying the age-related macular degeneration (AMD) at the elderly people is one of the main concerns of the national public health program in Thailand. Within this research purview, accurate and sensitive performance is highly desirable, and a variety of proposed models have been developed toward this end. Deep learning neural networks have recently been shown to have advantage over existing approaches for the task of classifying the level of eye disease. Despite of these advances, there is still significant potential for development, regarding model classification accuracy, and sensitive values.
Results: Six very deep learning neural networks (DLNN), named as InceptionV3, ResNet152V2, DenseNet201, EfficientNetB7, InceptionResNetV2, and NASNetLarge are proposed for training to detect and classify the AMD disease from fundus images. The training process with AMD images is implemented based on the transfer learning technique through Google Colab Pro platform. The experiments showed that, for 3-classes AMD classification (Normal, Dry AMD, and Wet AMD), the overall classification accuracy of DenseNet201 is highest and is about 88% with the testing dataset. Furthermore, for the inferred 2-class AMD classification (Normal vs. AMD), the most accuracy values obtained from EfficientNetB7 and InceptionResNetV2 about 93.5% and 95.06%, respectively.
Conclusions: The experimental results have shown that, after applying transfer learning technique, the DenseNet201 model had higher accuracy performance in 3-class AMD classification of fundus images than other very deep learning neural networks and other state-of-the-art proposed deep learning models in the literature. Furthermore, the trained EfficientNetB7 and InceptionResNetV2 showed the advantages for the 2-class AMD classification over other existing models.
Miniaturization Design of Power-Receiving Module for Cavity Resonance-Enabled Wireless Power Transfer
Authors: Akai Suzuka , Saeki Hiromasa , Tamura Masaya
Published: December 2022

Wireless sensor networks (WSNs) are a candidates for data collection in factories. WSNs possess the problem of securing power for each sensor. Cavity resonance-enabled wireless power transfer (CR-WPT) has attracted attention as a solution to the abovementioned problem. This study proposes a design methodology for a miniaturized power-receiving module for the CR-WPT. The optimum matching circuit for the compact power-receiving modules are designed by considering the transmitter, cavity resonator, and receiver as a single system. The power-receiving module for a transmission frequency of 119 MHz is reduced from 280 x 59 x 67 mm3 to 100 x 30 x 30 mm3, which means a 92% reduction in volume. The compact power-receiving module obtains an efficiency similar to that of a previous power-receiving module.
Umbilical artery thrombosis and maternal positive autoimmune antibodies: Two case reports and a literature review
Authors: Li Xin , Chen Wei , Liu Tianjiao , Cai Jian , Wei Sumei , Du Yuhua , Liu Chunyan , Gong Zhaolin , Cheng Linbo , Zhou Xiaoling , Xiong Min , Wang Tao , Li Yalan , Lai Fan , Yang Xiao
Published: December 2022

Background: Previous studies have shown that abnormal increases in autoimmune antibodies in pregnant women may increase the risk of maternal thrombosis. However, at our hospital, two pregnant women presented with umbilical artery thrombosis and positive maternal autoantibodies were detected in both, which led us to consider whether maternal autoantibodies also played a role in umbilical artery thrombosis.
Case presentation: Case 1: Fetal ultrasound of a 34-year-old pregnant woman at 30+4 weeks gestation showed two umbilical arteries, with an inner diameter of approximately 0.15 cm for the smaller was artery. However, only a single umbilical artery blood flow signal was detected. Due to fetal distress, which was noted on abnormal cardiotocography and Doppler ultrasound, an emergency cesarean section was performed at 31+1 weeks gestation. The Apgar score of the newborn was 3-8-8. Umbilical cord examination detected thrombosis in the two umbilical arteries. Moreover, blood test results during pregnancy showed nRNP/Sm antibody (+) and SS antibody (+++).
Case 2: The first systematic ultrasound of a 33-year-old twin pregnancy at 24+3 weeks gestation was normal, but routine fetal ultrasound at 27+1 weeks gestation showed only one umbilical artery between fetus A and the placenta. Blood test results showed that the patient was anti-nRNP/Sm antibody (+) in the rheumatoid immune activity test at 27+3 weeks gestation. An emergency cesarean section was performed at 34+6 weeks gestation because of the single umbilical artery and abnormal maternal coagulation. Both umbilical cords of fetus A and B blood test results showed anti-nRNP/Sm antibody (++). The pathological examination of the umbilical cord and placenta showed the presence of old thrombosis in one of the umbilical arteries of fetus A.
Conclusions: Abnormal maternal autoantibodies may be a risk factor for umbilical artery thrombosis. For these pregnant women, anticoagulation therapy with heparin and aspirin was used in a timely manner, which could possibly have avoided the occurrence of adverse pregnancy outcomes.
Epidural lidocaine, butorphanol, and butorphanol – lidocaine combination in dromedary camels
Authors: Nahas Ayman El , Almubarak Adel Ibrahim , Hagag Usama
Published: December 2022

Background Hazard of decubitus constrains practicing of general anesthesia in dromedary camels. Caudal epidural analgesia is an appropriate substitute providing loco-regional analgesia for numerous invasive and noninvasive painful conditions. Lidocaine is the most popular local anesthetic in veterinary practice, but of limited analgesic merits. Epidural administration of an opioid - local anesthetic mixture would improve the quality and length of analgesia and minimize the adverse motor effects provoked by local anesthetics. Epidural butorphanol (an opioid) and lidocaine (local anesthetic) mixture was used to improve analgesia in certain animal species, but not in camels. Therefore, our purpose was to investigate the analgesic effects as well as the clinical and hemato-biochemical profiles produced by the epidural administration of butorphanol (0.04 mg/kg), lidocaine (0.22 mg/ kg), and butorphanol-lidocaine (0.04 mg/kg − 0.22 mg/ kg) mixture in nine adult dromedary camels through a crossover experimental study. Results The beginning of analgesia was not significantly different between lidocaine (6.5 ± 2.3 min) and butorphanol-lidocaine (7.3 ± 1.5 min) mixture. Delayed onset of analgesia was reported after butorphanol administration (14.7 ± 3.5 min). Butorphanol-lidocaine mixture produced significant longer duration (175 ± 8.7 min) than lidocaine (55 ± 6.8 min) and butorphanol (158 ± 5.3 min). Butorphanol–lidocaine treated animals showed mild sedation and slight locomotor disturbances. A transient significant rise in glucose levels was observed after all treatments. Conclusions Epidural administration of butorphanol augments the analgesic effects and duration of lidocaine with minimal adverse effects.
Risk of Arrhythmia with Exposure to Anthracyclines: A Systematic Review, Meta-Analysis, and Network Meta-Analysis
Authors: Li Hongzheng , Yang Wenwen , Yu Zikai , Peng Yuxuan , Huang Mingyan , Long Linzi , Lu Aimei , Tan Ling , Deng Mi , Qu Hua , Fu Changgeng
Published: December 2022

Objective
Whether clinical application of anthracyclines is associated with increasing arrhythmic risk remains controversial. In order to evaluate the arrhythmic risk of anthracyclines as a class, and the comparative risk for each individual drug, we conducted a systematic review, meta-analysis, and network meta-analysis.
Methods
Pubmed, Web of Science, EMBASE and the Cochrane Library were searched, up to March 2022, for randomized controlled trials, cohort studies, and case control studies that investigated the association between anthracyclines treatment and the risk of arrhythmia. We followed the PRISMA 2020 guidelines for data selection and extraction. Outcomes were pooled using fixed effects models in cohort studies and randomized controlled studies, and random models in single-arm studies. Direct and indirect comparisons in network meta-analysis were performed using frequentist methods.
Results
4 cohort studies, 8 RCTs, and 18 single-arm studies were included in our analysis. Anthracyclines use was associated with a statistically significant 90% increase in the risk for arrhythmia (odds ratio [OR] 1.90; 95% confidence interval [CI] 1.62–2.24) and 114% increase in the risk for supraventricular arrhythmia (OR 2.14; 95% CI 1.18–3.89). And the single-arm studies also indicated that incidence of arrhythmia rate is 20%, 95%CI is 15/100 − 25/100. Epirubicin ranked most likely to have the highest risk for arrhythmia compared with non-anthracycline antineoplastic drugs in the analysis (OR 43.07 [95% CI 2.80-2105.83]) by network meta-analysis.
Conclusions
Our findings show a significant association between anthracyclines use and an increased risk for arrhythmia, especially supraventricular arrhythmia. Epirubicin ranked with the highest probability for arrhythmia. These results indicated cardiac rhythm should be strictly monitored during the application of anthracyclines in clinical practice, and possible therapy for anthracyclines associated arrhythmia should be explored.
A cuproptosis-related gene cluster in prediction of ovarian cancer prognosis and chemotherapeutic response
Authors: Zou Qiaojian , Wang Shuyi , Chen Yili , Du Qiqiao , Zhang Chunyu , Liu Junxiu , Yao Shuzhong
Published: December 2022

Background
Ovarian cancer (OC) is a common gynecological malignancy correlated with a poor prognosis. Cuproptosis is a newly discovered form of cell death and has a close relationship with cancers, but the relationship between OC and cuproptosis remains unclear.
Results
In this study, we explored cuproptosis-related genes (CRGs) in public databases and found most CRGs are closely related to survival, and the potential roles of FDX1, LIAS and SLC31A1 in proliferation and migration were discovered in OC cell line. Afterwards, all 791 OC patients were divided into 2 clusters and the pathway enrichment and survival time showed obvious difference. 70 differentially expressed genes between 2 clusters were utilized to construct a gene signature. Significant difference was found in survival time and tumor-infiltrating immune cells among different risk groups. Finally, sensitivity of 12 commonly-used chemotherapeutic drugs was predicted closely correlating with risk score, which may provide a new strategy for clinical practice.
Conclusion
In conclusion, our study suggests that cuproptosis may play an important role in the progression of OC. We combinedly analyze cuproptosis-related differentially-associated genes in TCGA and GEO database and construct a risk model, which may provide new understandings to the treatment of OC.
Exogenous Female Sex Steroid Hormones and New-Onset Asthma in Women: A Matched Case-Control Study
Authors: Zhang Guo-Qiang , Basna Rani , Mathur Maya , Lässer Cecilia , Mincheva Roxana , Ekerljung Linda , Wennergren Göran , Rådinger Madeleine , Lundbäck Bo , Kankaanranta Hannu , Nwaru Bright
Published: December 2022

Background
Evidence on the role of exogenous female sex steroid hormones in asthma development in women remains conflicting. We sought to quantify the potential causal role of hormonal contraceptives and menopausal hormone therapy (MHT) in the development of asthma in women.
Methods
We conducted a matched case-control study based on the West Sweden Asthma Study, nested in a representative cohort of 15,003 women aged 16–75 years, with 8-year follow-up (2008–2016). Data were analyzed using Frequentist and Bayesian conditional logistic regression models.
Results
We included 114 cases and 717 controls. In Frequentist analysis, the odds ratio (OR) for new-onset asthma with ever use of hormonal contraceptives was 2.13 (95% confidence interval [CI] 1.03–4.38). Subgroup analyses showed that the OR increased consistently with older baseline age. The OR for new-onset asthma with ever MHT use among menopausal women was 1.17 (95% CI 0.49–2.82). In Bayesian analysis, the ORs for ever use of hormonal contraceptives and MHT were, respectively, 1.11 (95% posterior interval [PI] 0.79–1.55) and 1.18 (95% PI 0.92–1.52). The respective probability of each OR being larger than 1 was 72.3% and 90.6%.
Conclusions
Although use of hormonal contraceptives was associated with an increased risk of asthma, this may be explained by selection of women by baseline asthma status, given the upward trend in the effect estimate with older age. This indicates that use of hormonal contraceptives may in fact decrease asthma risk in women. Use of MHT may increase asthma risk in menopausal women.