bluuebunny/crossref_metadata_2025 huggingface dataset:
A Bibliographic Analysis of Adaptive Techniques for the Development of Environment-Friendly Renewable Energy Systems
Authors: Gandhar Shashi , Ohri Jyoti , Singh Mukhtiar
Published: November 2022

Renewable Energy Sources (RES) have always been seen as a sustainable and environment-friendly solution to the energy needs of the globe. It is a club of many sources that have been explored widely in the last five decades, and many ways have been designed to harness energy from these sources. But unavailability at all times and fluctuations affect the power quality and reliability of these units. Many adaptive techniques have been designed to maintain these parameters of energy systems. The development is still going on and will go on to find more efficient techniques to extract reliable and quality power. This study presents a bibliographic view of the research in this area for different adaptive techniques. This study also presented an ongoing trend and the future possibilities and past successes that have been achieved in this arena. In the paper, many papers have been reviewed on the recent development in adaptive techniques for power systems in the last five decades. IEEE, the biggest source platform for researchers and scientists, is considered for a survey and statistical analysis of recent developments. Based on a survey and detailed study, graphical analysis is designed to give a very accomplished perspective of adaptive techniques in energy systems for the researchers. The present study suggested many measures and techniques which can contribute to establishing renewable energy systems, thus, decreasing pollution and providing a clean, green and sustainable environment. This study presents a Hybrid energy system with hybrid adaptive techniques as a key solution to overcome the problem of pollution using RES as much as possible and to satisfy the energy demand also. This study can be a major reference point for researchers and power engineers for providing an environment-friendly and sustainable RES-based energy solutions.
Observation of the clinical effectiveness of evidence-based nursing for patients with a vertebral osteoporotic fracture
Authors: Li Hui , Hu Ying , Gan Lin , Wang YiXuan
Published: November 2022

BACKGROUND: An osteoporotic fracture (OPF) can significantly affect patients’ activities of daily living (ADLs). OBJECTIVE: This study observed the effects of evidence-based nursing (EBN) on the occurrence of postoperative complications and ADLs in patients with a vertebral OPF. METHODS: A total of 90 patients with vertebral OPF were divided into two groups. The conventional orthopedic nursing method was conducted for the control group, and the EBN model was delivered for the observation group. RESULTS: Differences in the Barthel index (BI) score on the first day of admission were not statistically significant between the two groups. The BI scores on the day before discharge, compared with the day of admission, had improved in both groups. The BI score on the day before discharge was 83.67 ± 6.94 in the observation group, and the difference was statistically significant (P< 0.05) compared with the control group (76.56 ± 6.89). The rate of satisfaction with nursing in the observation group (100.0%) was significantly higher than in the control group (82.2%) (P< 0.05). The incidence of postoperative complications in the observation group (2.2%) was significantly lower than in the control group (24.4%) (P< 0.05). CONCLUSIONS: The implementation of EBN in patients with vertebral OPF improved the postoperative ADLs, reduced the incidence of postoperative complications, and improved the patients’ satisfaction with nursing.
Association of FBXW11 levels with tumor development and prognosis in chondrosarcoma
Authors: Chen Changbao , Zhou Hua , Zhang Xiaolin , Liu Zhongjun , Ma Xinlong
Published: November 2022

INTRODUCTION: The E3 ubiquitin ligase FBXW11 exerts an oncogenic or tumor suppressive function in a cellular context-dependent manner. However, the clinical significance and biological role of FBXW11 in chondrosarcoma have not been clearly characterized. This study focuses on the expression profile, prognostic value and biological function of FBXW11 in chondrosarcoma. METHODS: FBXW11 expression was analyzed by qRT-PCR and Western blot in six cases of chondrosarcoma specimens and the matched adjacent non-tumor tissues. The expression profile and prognostic value of FBXW11 were investigated in sixty-three cases of chondrosarcoma patients. Cell viability, colony formation, migration, invasion and apoptosis assays were further detected in SW1353 chondrosarcoma cells with restored FBXW11 expression. RESULTS: Downregulation of FBXW11 was remarkably detected in human chondrosarcoma specimens compared with the corresponding non-tumor tissues and benign cartilage tumors. Downregulated FBXW11 expression significantly correlated with high-grade chondrosarcoma and poor prognosis. Furthermore, FBXW11 was identified as an independent prognostic factor for the overall survival of chondrosarcoma patients. Restored expression of FBXW11 significantly suppressed chondrosarcoma cell growth and induced apoptosis. CONCLUSIONS: These findings establish that FBXW11 was markedly downregulated and recognized as an independent prognostic factor for patients with chondrosarcoma, and restored FBXW11 expression can suppress chondrosarcoma growth and induce apoptosis, highlighting a novel biological marker and potential therapeutic target against chondrosarcoma.
An introduction to data lakes for academic librarians
Authors: Anderson Clifford B.
Published: November 2022

Data lakes offer an emerging option for librarians who are seeking to develop data repositories for institutions of higher education. Data lakes provide flexible, secure environments for students and faculty to compute with licensed data. This paper presents a high-level overview of the data lake architecture, highlighting its differences from traditional data warehousing solutions. The paper also touches on the staff expertise required to create successful data lakes in academic libraries.
An overview of the 2022 NISO plus conference: Global conversations/Global Connections
Authors: Lawlor Bonnie
Published: November 2022

This paper offers an overview of some of the highlights of the 2022 NISO Plus Annual Conference that was held virtually from February 15 - February 18, 2022. This was the third such conference and the second to be held in a completely virtual format due to the Pandemic. These conferences have resulted from the merger of NISO and the National Federation of Abstracting and Information Services (NFAIS) in June 2019, replacing the NFAIS Annual Conferences and offering a new, more interactive format. As with last year, there was no general topical theme, but there were topics of interest for everyone working in the information ecosystem - from the practical subjects of standards and metadata quality to preprints, Wikidata, archiving and digital preservation, Open Science and Open Access, and ultimately Globalization of the Information Infrastructure, the Metaverse, and Visions of the Future. With speakers and attendees from around the world and across multiple time zones and continents, it truly was a global conversation!
Topical Review of Hobbies and Cognitive Health
Authors: Kyaw Kay T. , Levine Alec , Zhao Amanda Jin
Published: November 2022

Background: Establishing preventive measures to improve cognitive health of the growing older adult population is a public health priority. Though, the links between low-cost non-pharmacologist interventions that target activities like hobbies and cognitive health remain unclear. Objective: We conducted a topical review of extant literature to characterize prior findings in context and identify potential research opportunities. Methods: Search criteria was conducted with search terms “Hobbies and Dementia”, “Hobbies and Cognitive Health,” “Leisure Activities and Dementia,” and “Leisure Activities and Cognitive Health”. From the initial 383 articles, 25 articles were selected for review by using broad inclusion and exclusion criteria. Results: Of the 25 articles included in this review, 19 were longitudinal cohort, 1 was a retrospective cohort, 2 were case–control, and 3 were cross-sectional. These studies classified hobbies as leisure activities that were cognitive/intellectual, cultural, religious, social, gardening, traveling, or physical. These studies were conducted in the United States (9), United Kingdom (3), Sweden (3), France (5), Finland (1), Korea (1), Japan (2), and China (1). The associations of different types of hobbies with dementia from these studies were not consistent. Inconsistencies could be due to limitations of study design, lack of standardized methods, sample diversity, and differences in factors like social/cultural environment across the study populations. Conclusion: This review examined existing evidence for the association between engagement in different types of hobbies and dementia and identified key knowledge gaps and promising approaches for future research.
Association Between Oral Bacteria and Alzheimer’s Disease: A Systematic Review and Meta-Analysis
Authors: Liu Sixin , Dashper Stuart G. , Zhao Rui
Published: November 2022

Background: Pre-clinical evidence implicates oral bacteria in the pathogenesis of Alzheimer’s disease (AD), while clinical studies show diverse results. Objective: To comprehensively assess the association between oral bacteria and AD with clinical evidence. Methods: Studies investigating the association between oral bacteria and AD were identified through a systematic search of six databases PubMed, Embase, Cochrane Central Library, Scopus, ScienceDirect, and Web of Science. Methodological quality ratings of the included studies were performed. A best evidence synthesis was employed to integrate the results. When applicable, a meta-analysis was conducted using a random-effect model. Results: Of the 16 studies included, ten investigated periodontal pathobionts and six were microbiome-wide association studies. Samples from the brain, serum, and oral cavity were tested. We found over a ten-fold and six-fold increased risk of AD when there were oral bacteria (OR = 10.68 95% CI: 4.48–25.43; p < 0.00001, I2 = 0%) and Porphyromonas gingivalis (OR = 6.84 95% CI: 2.70–17.31; p < 0.0001, I2 = 0%) respectively in the brain. While AD patients exhibited lower alpha diversity of oral microbiota than healthy controls, the findings of bacterial communities were inconsistent among studies. The best evidence synthesis suggested a moderate level of evidence for an overall association between oral bacteria and AD and for oral bacteria being a risk factor for AD. Conclusion: Current evidence moderately supports the association between oral bacteria and AD, while the association was strong when oral bacteria were detectable in the brain. Further evidence is needed to clarify the interrelationship between both individual species and bacterial communities and the development of AD.
Concordance of Alzheimer’s Disease-Related Biomarkers Between Intraventricular and Lumbar Cerebrospinal Fluid in Idiopathic Normal Pressure Hydrocephalus
Authors: Lukkarinen Heikki , Vanninen Aleksi , Tesseur Ina , Pemberton Darrel , Van Der Ark Peter , Kokkola Tarja , Herukka Sanna-Kaisa , Rauramaa Tuomas , Hiltunen Mikko , Blennow Kaj , Zetterberg Henrik , Leinonen Ville
Published: November 2022

Background: Alzheimer’s disease cerebrospinal fluid (CSF) biomarkers amyloid-β 1–42 (Aβ42), total tau (T-tau), and phosphorylated tau 181 (P-tau181) are widely used. However, concentration gradient of these biomarkers between intraventricular (V-CSF) and lumbar CSF (L-CSF) has been demonstrated in idiopathic normal pressure hydrocephalus (iNPH), potentially affecting clinical utility. Objective: Here we aim to provide conversion factors for clinical and research use between V-CSF and L-CSF. Methods: Altogether 138 iNPH patients participated. L-CSF samples were obtained prior to shunt surgery. Intraoperative V-CSF samples were obtained from 97 patients. Post-operative follow-up L- and V-CSF (shunt reservoir) samples of 41 patients were obtained 1–73 months after surgery and then after 3, 6, and 18 months. CSF concentrations of Aβ42, T-tau, and P-tau181 were analyzed using commercial ELISA assays. Results: Preoperative L-CSF Aβ42, T-tau, and P-tau181 correlated to intraoperative V-CSF (ρ= 0.34–0.55, p < 0.001). Strong correlations were seen between postoperative L- and V-CSF for all biomarkers in every follow-up sampling point (ρs Aβ42: 0.77–0.88, T-tau: 0.91–0.94, P-tau181: 0.94–0.96, p < 0.0001). Regression equations were determined for intraoperative V- and preoperative L-CSF (Aβ42: V-CSF = 185+0.34*L-CSF, T-tau: Ln(V-CSF) = 3.11+0.49*Ln(L-CSF), P-tau181: V-CSF = 8.2+0.51*L-CSF), and for postoperative V- and L-CSF (Aβ42: V-CSF = 86.7+0.75*L-CSF, T-tau: V-CSF = 86.9+0.62*L-CSF, P-tau181: V-CSF = 2.6+0.74*L-CSF). Conclusion: Aβ42, T-tau, and P-tau181 correlate linearly in-between V- and L-CSF, even stronger after CSF shunt surgery. Equations presented here, provide a novel tool to use V-CSF for diagnostic and prognostic entities relying on the L-CSF concentrations and can be applicable to clinical use when L-CSF samples are not available or less invasively obtained shunt reservoir samples should be interpreted.
Clinical Correlates of Cerebrospinal Fluid 14-3-3 Protein in Non-Prion Rapid Progressive Dementia
Authors: Kong Yu , Chen Zhongyun , Shi Qi , Zuo Ya , Zhang Jing
Published: November 2022

Background: The 14-3-3 protein in cerebrospinal fluid (CSF) is a suitable biomarker for the diagnosis of Creutzfeldt-Jakob disease (CJD). However, it has also been detected in various non-prion-related rapidly progressive dementia (RPD), which affected its diagnostic performance and clinical utilization. Objective: To investigate the general disease distribution with positive 14-3-3 result and to evaluate the association between CSF 14-3-3 protein and the clinical features in patients with non-prion RPD. Methods: A total of 150 patients with non-prion RPD were enrolled. The clinical data were collected and CSF 14-3-3 test was performed for all patients. The distribution of various diseases with a positive 14-3-3 result was analyzed and the association of CSF 14-3-3 with clinical features was tested. Results: The CSF 14-3-3 protein was detected in 23.3% of non-prion RPD patients, and the most frequent diagnoses were autoimmune encephalitis (22.9%) and neurodegenerative disease (22.9%). CSF 14-3-3 protein was more common in older patients (p = 0.028) and those presenting myoclonus (p = 0.008). In subgroup analysis, the positive 14-3-3 test was more common in neurodegenerative disease with a long time from the symptom onset to CSF 14-3-3 test (p = 0.014). Conclusion: CSF 14-3-3 protein could be detected in a broad spectrum of non-prion RPD. In particular, patients with autoimmune encephalitis and rapidly progressive neurodegenerative diseases and those with myoclonus have a greater likelihood of a positive 14-3-3 result. These results could help clinicians interpret the results of CSF 14-3-3 protein more reasonably.
Sensorless position detection of reluctance spherical motors based on inductive characteristics
Authors: Ju Lufeng , Dong Wenbo , Wang Qunjing , Jia Jiang , Zhou Rui , Xu Jiazi
Published: November 2022

The rotor attitude detection of spherical motors usually requires the installation of position sensors on the rotor shaft or stator to achieve, which occupy a large space and cause negative effects for the practical installation and application of spherical motors. In this paper, a sensorless position detection method for reluctance spherical motors based on the structure and operating characteristics of reluctance spherical motors is proposed. By detecting the stator coil inductance data at different rotor attitude angles, the position prediction model is constructed using the extreme learning machine algorithm. Through comparison and validation, it is demonstrated that the rotor attitude angle obtained by the method is highly accurate, providing a feasible idea for the control and application of reluctance spherical motors.
Student offline classroom concentration identification research based on deep learning
Authors: Hou Jie , Chen Yiping
Published: November 2022

During the reform of the deep teaching model, students’ deep learning quality was affected and restricted by various factors. During the offline class learning process of students, the concentration of deep learning directly affects the quality of learning. This article analyzes the study focus of students in deep learning models, conducts research on the quality of class offline learning of different students, quantifies the factors that affect students’ deep learning, and builds an analysis model for quantitative comparison. Important influence factor affecting students’ offline classroom concentration, through targeted measures, improve teaching methods and quality, optimize classroom teaching models, use various methods and measures to effectively improve learning focus, and further promote the reform of teaching models. The level of concentration of students’ learning has been steadily improved, and the model of deep learning is proposed to help the teaching model reform.
Comprehensive performance evaluation of high embankments in heavy-haul railways using an improved extension model with attribute reduction algorithm
Authors: Zhang Qi , Su Qian , Liu Baosen , Pei Yanfei , Zhang Zongyu , Chen De
Published: November 2022

Effectively evaluating high-embankment deformation and stability is important for heavy-haul railway safety. An improved extension model with an attribute reduction algorithm was proposed for the comprehensive evaluation method. First, a hierarchical evaluation system for high embankments in heavy-haul railways was established using the attribute reduction algorithm, which includes the principal component analysis, maximum information coefficient, coefficient of variation, and improved Dempster-Shafer evidence theory. Furthermore, the improved extension model was used to evaluate high-embankment performance in heavy-haul railways. In this improved extension model, the combination weighting method, an asymmetric proximity function, and the maximum membership principle effectiveness verification were used. Finally, three high embankments in a Chinese heavy-haul railway were studied. The results illustrate that the main influencing factors for high-embankment performance in a heavy-haul railway are annual rainfall, annual temperature, and 21 other indicators. The performance of the three embankments is level III (ordinary), level II (fine), and level III (ordinary), respectively, indicating that these embankments have generally unfavourable performance. The three embankments’ performance matches field measurements, and the proposed method outperforms the Fuzzy-AHP method, cloud model, and gray relational analysis. This study demonstrates the feasibility of the proposed method in assessing the high-embankment performance under heavy axle loads.
An energy efficient deep learning model for intrusion detection in smart healthcare with optimal feature selection mechanism
Authors: Rajalakshmi R. , Sivakumar P. , Prathiba T. , Chatrapathy K.
Published: November 2022

In healthcare (HC), Internet of Things (IoT) integrated cloud computing provides various features and real-time applications. However, owing to the nature of IoT architecture, their types, various modes of communication and the density of data transformed in the network, security is currently a critical issue in the IoT healthcare (IoT-HC) field. This paper proposes a deep learning (DL) model, namely Adaptive Swish-based Deep Multi-Layer Perceptron (ASDMLP) that identifies the intrusions or attacks in the IoT healthcare (IoT-HC) platform. The proposed model starts by clustering the patients’ sensor devices in the network using the Probability-based Fuzzy C-Means (PFCM) model. After clustering the devices, the cluster heads (CHs) among the cluster members are selected based on the energy, distance and degree of the sensor devices for aggregating the data sensed by the medical sensor devices. The base station (BS) sends the patient’s data collected by the CHs to the cloud server (CS). At the cloud end, the proposed model implements an IDS by applying training of the DL model in publicly available databases. The DL approach first performs preprocessing of the data and then selects optimal features from the dataset using the Opposition and Greedy Levy mutation-based Coyotes Optimization Algorithm (OGCOA). The ASDMLP trains these optimal features for the detection of HC data intrusions. The outcomes confirm that the proposed approach works well on real-time IoT datasets for intrusion detection (ID) without compromising the energy consumption (EC) and lifespan of the network.
Can brain stimulation enhance cognition in clinical populations? A critical review
Authors: Martin Donel M. , Berryhill Marian E. , Dielenberg Victoria
Published: November 2022

Many psychiatric and neurological conditions are associated with cognitive impairment for which there are very limited treatment options. Brain stimulation methodologies show promise as novel therapeutics and have cognitive effects. Electroconvulsive therapy (ECT), known more for its related transient adverse cognitive effects, can produce significant cognitive improvement in the weeks following acute treatment. Transcranial magnetic stimulation (TMS) is increasingly used as a treatment for major depression and has acute cognitive effects. Emerging research from controlled studies suggests that repeated TMS treatments may additionally have cognitive benefit. ECT and TMS treatment cause neurotrophic changes, although whether these are associated with cognitive effects remains unclear. Transcranial electrical stimulation methods including transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) are in development as novel treatments for multiple psychiatric conditions. These treatments may also produce cognitive enhancement particularly when stimulation occurs concurrently with a cognitive task. This review summarizes the current clinical evidence for these brain stimulation treatments as therapeutics for enhancing cognition. Acute, or short-lasting, effects as well as longer-term effects from repeated treatments are reviewed, together with potential putative neural mechanisms. Areas of future research are highlighted to assist with optimization of these approaches for enhancing cognition.
Aspects determining adherence to wrist-hand orthoses in patients with peripheral neuropathies
Authors: Bula-Oyola Ena , Belda-Lois Juan-Manuel , Porcar-Seder Rosa , Page Alvaro
Published: November 2022

BACKGROUND:

People with peripheral neuropathies suffer significant sensorimotor impairment. Prescribed treatment includes the use of orthosis. However, a common obstacle to treatment efficacy is patient adherence. Given the limited information available, gathering evidence on adherence to orthotic treatment is essential.

OBJECTIVE:

This study aims to identify aspects that influence adherence to orthotic treatment in patients with peripheral neuropathies.

METHODS:

We applied a survey including items from the assistive device evaluation section of Quest 2.0 and self-developed questions to assess the importance and satisfaction of wrist-hand orthosis users. We used the principles of the Kano model to understand the nature of issues influencing adherence and prioritize opportunities for product improvement.

RESULTS:

User satisfaction with the ease of adjustment, weight, comfort, effectiveness, durability, dimensions, and appearance of orthoses influences treatment adherence.

CONCLUSIONS:

We found differences in estimating the importance of orthosis aspects from direct consultation and estimation from the satisfaction-adherence correlation. Satisfaction is an indirect measure of importance and an adequate predictor of adherence. The application of Kano’s model allows a more precise identification of the influence of orthosis attributes on adherence. This method describes relationships between aspects that are not discernible in linear models.
Treatment of pediatric tibial shaft nonunion using ipsilateral free non-vascularized fibular graft
Authors: Qi Bao-Chang , Gao Long , Wang Jian , Ran Jian
Published: November 2022

BACKGROUND: Although tibial shaft fractures are the third most common long bone fractures in children after the forearm and femur, nonunion of these fractures are rare in the pediatric population. CASE REPORT: Despite seldom seen, tibial nonunion is very complex and it is also a devastating complication of tibial fracture especially when infected. Numerous methods have been employed to treat pediatric tibial nonunion, but there is no consensus. Here, we present a case of a child with right tibial shaft fracture nonunion. We treated this patient with ipsilateral free non-vascularized fibular graft. RESULTS: Both the nonunion site and fibular donor site united well with good function in the injured extremity and no adverse events. CONCLUSION: We recommend the use of ipsilateral free non-vascularized fibular graft for the treatment of pediatric tibial shaft nonunion.
The Bárány Society position on ‘Cervical Dizziness’
Authors: Seemungal Barry M. , Agrawal Yuri , Bisdorff Alexander , Bronstein Adolfo , Cullen Kathleen E. , Goadsby Peter J. , Lempert Thomas , Kothari Sudhir , Lim Phang Boon , Magnusson Måns , Marcus Hani J. , Strupp Michael , Whitney Susan L.
Published: November 2022

This paper describes the Bárány Society Classification OverSight Committee (COSC) position on Cervical Dizziness, sometimes referred to as Cervical Vertigo. This involved an initial review by a group of experts across a broad range of fields, and then subsequent review by the Bárány Society COSC. Based upon the so far published literature, the Bárány Society COSC takes the view that the evidence supporting a mechanistic link between an illusory sensation of self-motion (i.e. vertigo – spinning or otherwise) and neck pathology and/or symptoms of neck pain - either by affecting the cervical vertebrae, soft tissue structures or cervical nerve roots - is lacking. When a combined head and neck movement triggers an illusory sensation of spinning, there is either an underlying common vestibular condition such as migraine or BPPV or less commonly a central vestibular condition including, when acute in onset, dangerous conditions (e.g. a dissection of the vertebral artery with posterior circulation stroke and, exceedingly rarely, a vertebral artery compression syndrome). The Committee notes, that migraine, including vestibular migraine, is by far, the commonest cause for the combination of neck pain and vestibular symptoms. The committee also notes that since head movement aggravates symptoms in almost any vestibular condition, the common finding of increased neck muscle tension in vestibular patients, may be linked as both cause and effect, to reduced head movements. Additionally, there are theoretical mechanisms, which have not been explored, whereby cervical pain may promote vaso-vagal, cardio-inhibitory reflexes and hence by presyncopal mechanisms, elicit   transient   disorientation and/or imbalance. The committee accepts that further research is required to answer the question as to whether those rare cases in which neck muscle spasm is associated with a vague sense of spatial disorientation and/or imbalance, is indeed linked to impaired neck proprioception. Future studies should ideally be placebo controlled and double-blinded where possible, with strict inclusion and exclusion criteria that aim for high specificity at the cost of sensitivity. To facilitate further studies in “cervical dizziness/vertigo”, we provide a narrative view of the important confounds investigators should consider when designing controlled mechanistic and therapeutic studies. Hence, currently, the Bárány COSC refrains from proposing any preliminary diagnostic criteria for clinical use outside a research study. This position may change as new research evidence is provided.
CT classification model of pancreatic serous cystic neoplasm and mucinous cystic neoplasm based on deep transfer learning
Authors: Li Jin , Yin Wei , Wang Yuanjun
Published: November 2022

BACKGROUND:

Pancreatic cancer is a highly lethal disease. The preoperative distinction between pancreatic serous cystic neoplasm (SCN) and mucinous cystic neoplasm (MCN) remains a clinical challenge.

OBJECTIVE:

The goal of this study is to provide clinicians with supportive advice and avoid overtreatment by constructing a convolutional neural network (CNN) classifier to automatically identify pancreatic cancer using computed tomography (CT) images.

METHODS:

We construct a CNN model using a dataset of 6,173 CT images obtained from 107 pathologically confirmed pancreatic cancer patients at Shanghai Changhai Hospital from January 2017 to February 2022. We divide CT slices into three categories namely, SCN, MCN, and no tumor, to train the DenseNet201-based CNN model with multi-head spatial attention mechanism (MSAM-DenseNet201). The attention module enhances the network’s attention to local features and effectively improves the network performance. The trained model is applied to process all CT image slices and finally realize the two categories classification of MCN and SCN patients through a joint voting strategy.

RESULTS:

Using a 10-fold cross validation method, this new MSAM-DenseNet201 model achieves a classification accuracy of 92.52%, a precision of 92.16%, a sensitivity of 92.16%, and a specificity of 92.86%, respectively.

CONCLUSIONS:

This study demonstrates the feasibility of using a deep learning network or classification model to help diagnose MCN and SCN cases. This, the new method has great potential for developing new computer-aided diagnosis systems and applying in future clinical practice.
A. A. BRYANTSEV’S PEDAGOGICAL IDEAS IN THE PERIOD OF SOVIET SCHOOL REFORM (THE 1920S)
Authors:   Pedagogy the Herzen State Pedagogical University, Drozdov N. A.
Published: November 2022

Introduction. The paper deals with the main pedagogical ideas of A.A. Bryantsev, the founder of the first Theater for Young Spectators (TYS), which were spread during the period of reforms in the education system in the 1920s. The paper aims to reveal the pedagogical ideas of the first artistic director of the theatre. Materials and Methods. The methodology of the study is based on the sociocultural approach using the biographical method. Materials from the archive and museum of St. Petersburg Theatre for Young Spectators named after A.A. Bryantsev, the Central State Archive of Literature and Art of St. Petersburg; autobiography and articles by A.A.Bryantsev; a biography dedicated to the artistic director of the Theatre for Young Spectators, S.D. Zeltser; research works on the history of the Soviet school in the 1920s by Elena Kolosova and Natalia Fedorova were reviewed and analyzed. Results of the study. The main normative documents, and the events, which strengthened the significance of the ties between the theatre and schools of the city, are listed. The description of the consequences of the reforms allows identifying the specifics and possibilities of the activity of A.A. Bryantsev and teachers of St. Petersburg (then Leningrad) TYS during the period under study. As conceived by the founders, Leningrad Theatre for Young Spectators was created as an educationally oriented theater. The study has considered pedagogical principles of the Leningrad Theatre for Young Spectators and traced the main landmarks of the Theatre’s development in the 1920s, namely, the first performance “The Little Humpbacked Horse,” the organization of its pedagogical activity, and the establishment of the Assembly of Delegates. The main objectives to be accomplished by the pedagogical activity of the theatre and the delegates of the Theatre have been presented as the basic links between the theatre and school. The role and significance of theatrical performance in the educational work of the theatre and the performance requirements imposed by the artistic director of the TYS are outlined. The evidence that the spectator is the pivot of the creation, selection, and delivery of performances is examined. Conclusions. The ideas of A.A. Bryantsev are reflected in the organization of pedagogical work and Assembly of Delegates at the Theatre for Young Spectators, in the implementation of the concept of “theatre-home” for children, in the involvement of different social groups in the discussion of educational issues, and in the dissemination of positive experience of Leningrad Theatre for Young Spectators all over the world.
INTEGRATED MARKETING COMMUNICATION NARUNA KERAMIK DALAM MEMBANGUN BRAND AWARENESS PADA MASA PANDEMI
Authors: Soetristiyono Yvonne Eka , Vanel Zon
Published: November 2022

The challenges faced in the business are getting heavier. Besides the competition, the pandemic caused a heavy blow for Micro Small Medium-Sized Enterprises, resulting in a decrease in business. But, the difference occurs in Naruna Keramik which has grown fast during the pandemic. Therefore this research aims to know and describe the integrated communication strategy of Naruna Keramik to build brand awareness during the pandemic situation. This research is analyzed using five marketing mixes: advertising, sales promotion, personal selling, direct marketing, and public relations. The research uses qualitative methods and descriptive research types. The data in this research are collected using mixed methods including interviews, documentation, observation, and survey. The result is that Naruna Keramik has all of the marketing mixes including advertising, sales promotion, personal selling, direct marketing, and public relations. The use of online media has proven to be effective in optimizing the integrated communication strategy, proven from the most effective marketing mixes in building brand awareness are online advertising and public relations in the social media aspect. The brand awareness of Naruna Keramik is on the brand recall level, where people can memorize and mention the Naruna brand after the top of mind brand.
A NEW INSIGHT INTO THE YOUTH’S WAY OF PERSONAL BRANDING THROUGH STUDYGRAM
Authors: Widita Anindya , Kusumawati Yudhistya Ayu , Gasa Frederik Masri
Published: November 2022

Social media fuel youth’s creativity and provide a platform to share their identity and develop their brand. Studygram are study bloggers who utilize Instagram to post their student life, in particular studying activities. Personal brand can be developed through communicating one’s characteristic and establishing desired impression to public of one’s skill, personality, or other traits. Studygram account is an example of a way to craft personal brand. This paper aims to explain the personal branding presentation from the youth’s perspective through Instagram. Related concepts include personal branding, study bloggers, and Instagram aesthetic. Through case study qualitative approach, online observation and content analysis were used as the method to collect and analyze the data from the selected Studygram accounts. The result showed the presentation of branding from the consistent feed and content highlighting productivity through display of study items arranged neatly and appeasing visually. Other than focusing on productivity, activities in daily life were also shared through various content. Interaction with followers were seen through interactive captions to engage and share personal experience and tips in their student life to connect with the followers. Opportunity for further study includes evaluation whether Studygram affects their productivity, visual content analysis, or investigation of the content exposure of Studygram on the audience.
EKSISTENSI TV LOKAL INEWS TV PALEMBANG DAN PAL TV DALAM PEMBERITAAN DI ERA KONVERGENSI
Authors: Felisia Ayu , Wijayani Isna
Published: November 2022

Media convergence is one of the developments of mass media that involves many technological factors in it. The presence of the internet encourages conventional mass media to apply the concept of media convergence such as online media, e-paper, e-books, radio streaming and social media combined with other media. The purpose of this study is to analyze the strategy of iNews TV Palembang and PAL TV in order to continue to exist in the era of media convergence. The type of research used in this research is qualitative using SWOT theory and media convergence theory. From the results of the analysis it can be said that iNews TV Palembang is in the position of quadrant 3 which shows that iNews TV Palembang has a chance but faces several obstacles, this is especially the iNews TV Palembang lantern is still in the form of a bureau and relies on central iNews TV. While PAL TV Palembang is in quadrant 1, because of its strong position and opportunity. Second, researchers also discovered several challenges faced by both in the era of media convergence, namely the rapid development of the internet and online media so as to encourage people to access online media more easily through gadgets or handphones. Third, researchers found the innovation of iNews TV Palembang and PAL TV in carrying out media convergence. Where the two local TVs have now used the internet and online media to convey information.
Organizational and managerial problems of blended and hybrid learning
Authors: Mukhametzyanov I. Sh.
Published: November 2022

The COVID-19 pandemic has changed the world; the educational system has altered too. The pandemic instantaneously transformed the traditional form of organizing and implementing education. The previously existing approaches to distance learning which involved using article-based learning resources have been replaced with a digital format. This shift required all participants involved in learning activity to have both appropriate digital competencies and specialized communication platforms in conjunction with libraries of digital resources. For the first time in history, education was delivered completely outside educational institutions, which required considerable effort on the part of educational organizations, parents, and students themselves to organize a remote workplace. For the first time in history, students and teachers were stratified in terms of their digital competencies levels and the feasibility of carrying out learning activity remotely. At the end of the pandemic, it is obvious that using only distance learning in any educational stage in impossible. This is due to not only a complete absence of approaches to regulation and requirements for a remote workplace, but also a lack of funding sources for its creation and functioning. Under these conditions, educational institutions have realized that the learning environment is not exclusively confined to their walls. Moreover, students and their places of study, stay, and residence are its cornerstones. All these factors require modern education to make fundamentally different efforts to ensure the operation of the system and going beyond its framework. First and foremost, the focus ought to be on a particular student’s needs and capabilities.
Training cadets at higher military educational institutions to solve military applied computational problems using customized software
Authors: Guseva E. V. , Rodionov M. A.
Published: November 2022

The article considers the relevant issue of teaching military university cadets to solve military applied computational problems using customized software. Though utilizing software has several advantages over traditional teaching methods, educational practice shows there are a few problems concerning its effective operation in the educational process. For example, many higher education teachers experience difficulty using it in their professional activity. Accordingly, the research aims to study the organization of cadet training which would contribute to the development of practical skills of utilizing customized software to solve military applied computational problems.The article focuses on the process of teaching cadets at higher military educational institutions to solve computational problems using customized software. Based on the integration of the classical approach and the approach relying on using software tools to solve mathematical problems, we identified and revealed seven stages of the latter. These include: a problem statement; mathematical formalization; designing an algorithm to solve the problem; implementing the solution to the problem with the aid of customized software; debugging and testing the program; performing calculations, analyzing and verifying the results; generalizing the problem. The article provides an example of solving the computational problem of the ballistic design of a small arms cartridge given to cadets of higher military educational institutions. The case study illustrates the execution of the specified stages in the sequence mentioned above. As a result, it became possible to examine the use of customized software in teaching cadets at military universities to solve military applied computational problems.
Pengaruh Model Pembelajaran Problem Based Learning (PBL) dengan Ceramah dan Konsep Diri (KD) Terhadap Nilai Aljabar Linear Mahasiswa
Authors: Indah Ratna Puspita , Farida Anisatul
Published: November 2022

One indicator of the success of a lesson is the achievement of high scores according to problem-solving abilities. This study aims to determine the interaction between the learning model and the level of student self-concept to determine a more effective learning model. This study uses a quantitative approach and analyzes the results with hypothesis testing. From the results of the test analysis, obtained the F value of 132.567 and Sig. 0.000, so there is a difference in Linear Algebra Values in the PBL Model and the Lecture Model. For the KD variable, the F value is 3.779 and the sig. 0.060, meaning that there is also a difference in Linear Algebra scores for students with high KD and low KD.
Desain Video Pembelajaran Matematika dalam Menghadapi Pandemi
Authors: Handayani Lisa Ririn , Kusuma Anggun Badu
Published: November 2022

During a pandemic like now, learning is done online. One of the media that is often used in online learning is learning videos. The purpose of writing this article is to examine the design of mathematics learning videos with Problem-solving, Problem Based Learning, and Brain-Based Learning models to deal with the pandemic. This article is the result of a literature review with the source of the study in the form of a journal article that discusses the design of mathematics learning videos. The results of this study include (1) problem-solving-based learning videos developed and designed to suit the characteristics of students to make it easier for students to understand the material presented in the video; (2) Problem Based Learning-based learning videos in their presentation using moving images and choosing the right colors can increase students' enthusiasm for learning; (3) Brain-Based Learning-based learning videos are designed by providing related facts/daily events related to learning materials.
Tingkat Kecemasan Mahasiswa pada Mata Kuliah Microteaching Berbasis Lesson Study
Authors: Hadiprasetyo Krisdianto , Exacta Annisa Prima , Susilowati Dewi
Published: November 2022

The objective of this study is to determine the students’ anxiety level during a microteaching lesson based on the Lesson study and determine the faktors. This study is conducted in Mathematics education Universitas Veteran Bangun Nusantara Sukoharjo. The subjects are the students of 6 semesters. This is a qualitative method with the data on anxiety from the questionary of HARS. interview results. Subjects are drawn using purposive sampling. Data validation is done by triangulation of the data. Data analysis was performed at the stages of data reduction, data presentation, and conclusion. From the analysis 2 students with no anxiety, 3 students with light anxiety, and 3 students with moderate anxiety. Based on the results of data analysis on the degree of student anxiety during a microteaching lesson based on the Lesson study, i.e., the degree of anxiety is not anxiety, light, and moderate anxiety. Data from eight subjects that influence a student's level of anxiety: external faktors are influenced by friends and observers. Internal faktors that influence are lack of preparation for practice, lack of material preparation, lack of adaptability, and gender.
Organization of sustainable management of meadows in the Nonchernozem belt of the Russian Federation
Authors: Anishchenko L. N. , Potsepai S. N. , Spravtsev A. A. , Vakina T. I. , Semyshev M. V. , Sychev S. M.
Published: November 2022

Relevance and methodology. Meadow communities forming in various ecological regimes, participate in the biogeochemical carbon cycle, accumulating and retaining it, removing it from the atmospheric air. A significant part of the natural meadows in the old-developed region is intensively exploited and loses carbondepositing functions. The sustainable management of meadows under intensive exploitation provides for the organization of their restoration and optimal exploitation. In field and office work, the method of trial plots, ecological analytical methods with the determination of organic carbon in the composition of soil humus, the method of phytocenotic analogs, the weight method, and a number of statistical methods were used.

Results. The research of the dynamics of the carbon content of above- and underground biomass, soil of three meadows types, showed a favourable effect of restoration processes on the organic carbon content of soils, the growth of biomass and productivity. The long-flooded meadows turned out to be the most responsive to restoration processes. However, the increase in the amount of aboveground and underground biomass in meadows, the productivity of meadows also increased for all types of meadows by the age of 5 years, and then decreased. The following monitoring indicators to diagnose the progress of recovery processes in meadow ecosystems are recommended: root biomass, leaf area index and content of labile organic matter. Therefore, when planning the management of meadows during restoration successions, it is necessary to provide for a moderate pasture load with 4–5 years of restoration processes. Planning the use of meadows, it is necessary to provide for a combination of sequestration and deposit processes of organic carbon, which is a way to increase or preserve the humus content of soils, preserve crop yields, and reduce CO2 emissions into the atmospheric air.