bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN)
Authors: Sasongko Theopilus Bayu , Haryoko Haryoko , Amrullah Agit
Published: August 2023

Kemajuan teknologi deep learning seringkali berbanding lurus dengan keterkaitan metode yang dapat diandalkan dalam penggunaan jumlah data yang besar. Convolutional Neural Network (CNN) adalah salah satu algoritma deep learning yang paling popular saat ini guna pengolahan citra. Pada era deep learning model CNN yang kompleks seperti saat ini memiliki tantangan-tantangan yang baru baik gradient vanishing, overfitting yang dikarenakan keterbatasan dataset, optimasi parameter hingga keterbatasan perangkat keras. Penelitian ini bertujuan mengukur pengaruh teknik fine tuning dan augmentasi dataset pada model transfer learning CNN Mobilenet, Efficientnet, dan Nasnetmobile dengan dataset yang variasi jumlah dataset yang memiliki jumlah yang terbatas. Pada hasil dari penelitian ini, dari ketiga dataset yang digunakan sebagai dalam melakukan training pada model efisien transfer learning baik MobileNet, EfficientNet, dan NasNetmobile, teknik augmentasi zoom range ataupun random erase dapat meningkatkan akurasi pada dataset dengan jumlah 56 citra dan 222 citra, sedangkan pada dataset dengan jumlah 500 data citra, semua teknik augmentasi terbukti dapat meningkatkan akurasi pada model arsitektur MobileNetV2 dan NasNetMobile. Sedangkan teknik fine tuning terbukti efektif dalam meningkatkan akurasi pada semua skala data yang kecil. AbstractToday deep learning technology is often associated with reliable processes (methods) when we have large amounts of data. In deep learning CNN (Convolutional Neural Network) plays a very important role which is often used to analyze (classify or recognize) visual images. In the era of deep learning models such as the complex Convolutional Neural Network (CNN) as it is today, it has new challenges such as gradient vanishing, overfitting due to dataset limitations, parameter optimization to hardware limitations. The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. This study aims to measure the effect of fine tune and dataset augmentation techniques on CNN mobilenet, efficientnet, and nasnetmobile transfer learning models with very small datasets. The results of this study are that of the three datasets used as the basis for training in efficient transfer learning models (mobilenet, efficientnet, and nasnetmobile), random erase and zoom range augmentation techniques dominate the increase in model accuracy. The amount of increase in accuracy after random erase or zoom range augmentation that occurs is about 0.03% to 0.1%.
Clustering Gempabumi di Wilayah Regional VII Menggunakan Pendekatan DBSCAN
Authors: Arafat Ihsan Bagus Fahad , Hariyadi Mokhamad Amin , Santoso Irwan Budi , Crysdian Cahyo
Published: August 2023

Wilayah Regional VII meliputi Jawa Tengah, Yogyakarta, dan Jawa Timur merupakan wilayah tektonik yang aktif karena terletak di wilayah zona subduksi lempeng Indo-Australia dan Eurasia serta terdapat beberapa patahan aktif di daratan. Oleh karena itu, perlu dilakukan klasifikasi gempabumi untuk memetakan zona rawan gempabumi berdasarkan sumbernya di wilayah Regional VII berdasarkan kesamaan atribut salah satunya adalah berdasarkan karakteristik gempabumi dari sumber yang sama. Pada penelitian ini digunakan pendekatan algoritma Unsupervised Learning Clustering berbasis kepadatan yaitu, Density Based Spatial Clustering of Application with Noise atau DBSCAN, algoritma ini membutuhkan parameter input epsilon (Îµ) dan MinPts. Data yang digunakan pada penelitian ini adalah data gempabumi wilayah Regional VII tahun 2017 hingga 2021 yang diperoleh dari BMKG. Selanjutnya, proses clustering dilakukan dengan membagi data gempabumi berdasarkan periode yaitu periode tahunan dan periode lima tahun dengan tujuan untuk mengetahui pola cluster berdasarkan periode waktu. Hasil yang terbentuk selanjutnya dievaluasi menggunakan Silhouette Coefficient serta dibandingkan dengan peta Seismisitas Jawa yang telah ada dari katalog PuSGeN 2017. Hasil clustering menggunakan DBSCAN diperoleh jumlah cluster sebanyak 2 hingga 6 cluster dengan nilai Silhouette Coefficient terendah sebesar 0.270 untuk periode T5_2017-2021 dan tertinggi sebesar 0.499 untuk periode T1_2020.Â AbstractRegional VII area covering Central Java, Yogyakarta and East Java is an active tectonic region because it is located in the subduction zone of the Indo-Australian and Eurasian plates and there are several active faults on land. Therefore, it is necessary to classify earthquakes to map earthquake-prone zones based on their sources in Regional VII area based on the similarity of attibutes, based on the characteristics of earthquakes from the same source. In this study, a density-based Unsupervised Learning Clustering algorithm approach was used namely, Density Based Spatial Clustering of Application with Noise or DBSCAN, this algorithm requires the input parameters epsilon (Îµ) and MinPts. The data used in this study are earthquake data for Regional VII from 2017 to 2021 obtained from the BMKG. Then, the clustering process is carried out by dividing earthquake data based on the period, namely the annual period and the five-year period with the aim of knowing the pattern of cluster based on the time period. The results are then evaluated using the Sillhouette Coefficient and compared with the existing Java Seismicity map from the 2017 PuSGeN catalog. Clustering results using DBSCAN obtained a number of clusters of 2 to 6 clusters with the lowest Silhouette Coefficient value is 0.270 for the T5_2017-2021 period and the highest is 0.499 for the T1_2020 period. Â
History and modification of modern cinematic vocabulary
Authors: Ilin Aleksandr Aleksandrovich
Published: August 2023

This article is devoted to the diachronic modification of the cinematic vocabulary of the modern German language. The relevance of this study is determined by the insufficient study of the formation and development of German film lexicon in the XXI century, which contributes to new research on this issue in modern linguistics; as well as the need to study the process of formation and evolution of the German language film lexicon to identify linguistic and cultural features of this area of vocabulary.The purpose of the study is to determine the semantic features of the lexical units of the German language, representing the cinematic vocabulary in the framework of the historical development of the language. To achieve this research goal, the following tasks were set and solved: 1) the modern scientific linguistic literature has been studied and analyzed in order to form a theoretical basis for this research problem; 2) the semantic field of cinematography has been considered and the analysis of individual lexical units of German cinematography has been carried out and the modification of lexemes in the context of the historical development of the language in relation to modern trends has been described; 3) the nature of borrowing in the German language of film terms from other languages and the analysis of their structure is made. The article discusses the interpretation and definition of the semantic content of the German language film lexicon. The scientific novelty of the research lies in the fact that the grammatical and lexical modification of the German language film terminology based on the diachronic aspect is described for the first time in Russian linguistics, as well as the synchronic correlation of film vocabulary with modern trends is traced. As a result, it was revealed that the semantic group denoting the professions of performing skills in modern German is represented by the word composition of nouns, as a rule, one of which is a verbal noun. The German film language tends to use borrowed synonyms for the original word in communication, the vast majority of these borrowings came from Latin, French and English.
Methodological foundations for the study of borderline forms of religiosity in a post-traditional society.
Authors: Illarionov Grigorii Andreevich , Gritskov Yurii Viktorivich , Zlobina Svetlana Dmitrievna , Rakhinskii Dmitrii Vladimirovich
Published: August 2023

The subject of this work is methodological approaches to the study of religiosity in posttraditional conditions. Posttraditionality is a "fluid modernity", an "elusive world" is an era of mobile and indefinite cultural forms. In the conditions of posttraditionality, social reality is filled with a multitude of phenomena of indeterminate religiosity – quasi-religions, pseudo-religions, crypto-religions, etc., which cannot even be uniquely identified as religious within the framework of classical approaches, but to neglect their religious elements would mean incompleteness of their study. The purpose of this study is to propose a methodological approach to the study of religion and religiosity in a post–traditional society, which allows explicating its borderline, hidden and implicit forms. This goal requires and implies the formation of an appropriate understanding of religion and religiosity, this approach is foundational. The study proposes a methodological approach based on the synthesis of phenomenological, structural-analytical, hermeneutic approaches. Its basis is the distinction between religiosity as a function of internal experience and religion as institutionalized practices and ideas. Religiosity is a constant function of a person's connection with the subjective ultimate foundations of his existence, which serves as the foundation of a person's sense-setting and goal-setting, conditioning his self in those components that are connected with reality inaccessible to experience and reason. Religiosity expressed externally of a person collides with the totality of objective and objectified structures of reality, and the intentions of other people. The interaction of specific living conditions of people and their intentions generated by religiosity lead to the construction of practices that, through their habitualization, signification and institutionalization, form religion as a social institution. The intended result of the proposed approach can be described as a project of "cartography" of infinitely diverse phenomena of the religious life of modernity in its hidden, shadow forms – where the religious is implicit, borderline – but at the same time functional from the point of view of ultimate goal-setting.
Study of Self-Excited Pitch Oscillations of Conical-Spherical Body at Mach Number M = 1.75 and Two Moments of Inertia
Authors: Mishchenko N. A. , Chasovnikov E. A.
Published: August 2023

Tests of a conical-spherical body in a supersonic wind tunnel were carried out on a free oscillation installation along the pitch angle at a Mach number M = 1.75 and two moments of inertia of the body relative to the axis of rotation. For a body with a large moment of inertia, self-oscillations with the amplitude of ca. 10 deg were obtained. For the first time, the phenomenon of degeneration of self-oscillations for a body with a smaller moment of inertia has been discovered. An attempt was made to model the phenomenon using an ordinary linear differential equation of the first order
Energy Loss Measurements on the Limiter of the Gas Dynamic Trap
Authors: Meyster A. K. , Soldatkina E. I. , Yakovlev D. V.
Published: August 2023

A discrepancy between the energy input into the plasma and the energy lost through the measured loss channels is observed in the Gas Dynamic Trap (GDT): while 2-3 megawatts of power are captured by the plasma from the neutral beams, the observed energy losses do not exceed hundreds of kilowatts. In this study, a proposal was investigated that a part of the input energy is lost on the limiters of the GDT. The proposal was based on numerical modelling results that predict an existence near the limiter of a peak of power transferred to the plasma via fast ion drag. The experimental results showed that the energy losses on the limiter are too small to explain the energy balance discrepancy and further investigations of large loss channels are required.
Growth of Epitaxial Layers of the Si1-x-yGexSny Solid Solution from a Tin Solution-Melt
Authors: Razzokov A. Sh.
Published: August 2023

Mono-crystal films of a graded-gap solid solution Si1-x-yGexSny on Si <111>substrates were grown by liquid-phase epitaxy from a limited tin solution-melt in the temperature range 500–1100 °C. The chemical composition of the grown epitaxial films was determined using a scanning electron microscope.
Copyright Research Protocol for Comprehensive Assessment of the Dento-Alveolar Complex in Patients with Temporomandibular Joint Disorders: Clinical Cases
Authors: Tekucheva S. V. , Bazikyan E. A. , Afanasyeva Ya. I. , Postnikov M. A.
Published: August 2023

Background. Currently, the issues of diagnosis and treatment of patients with dentoalveolar injuries combined with temporomandibular joint disorders are highly relevant due to a progressive increase in the number of cases of this pathology among the population. Despite the availability of the comprehensive methodology in diagnostics of dentoalveolar injuries, dentists lack standardized algorithms for effective examination and systematization of the data obtained in the diagnostics of such groups of patients, which is necessary for personalized planning and pathogenetic therapy. The authors present the algorithm they developed for comprehensive assessment of dentoalveolar injuries in patients with temporomandibular joint disorders.

Case descriptions. The paper presents clinical cases of two patients with abnormal occlusion associated with temporomandibular joint disorder. The patients underwent a comprehensive morphofunctional examination of the dentoalveolar complex in accordance with the diagnostic algorithm patented by the authors, including following methods: clinical (interview, examination), anthropometric (anthropometry of dentition), radiological (cone-beam computed tomography, magnetic resonance imaging of the temporomandibular joint), functional (surface electromyography of the masticatory muscles, computer kinesiography, electro-vibrography, ultrasound examination of the temporomandibular joint), to make the final diagnosis and to determine the order and scope of treatment.

Conclusion. The authors presented and proved clinically the algorithm of morphofunctional diagnostics for the dento-alveolar complex of patients with temporomandibular joint disorders, combining clinical, anthropometric, radiological and functional methods of examination, which allow the most dento-alveolar characteristics to be considered in order to make the main diagnosis and a personalized treatment protocol for such groups of patients
Evaluating the Efficacy of Synbiotic Mouthwash in Patients with Dyscirculatory Encephalopathy: Observational Clinical Study
Authors: Mitronin A. V. , Maksimova M. Yu. , Ostanina D. A. , Antonova O. A. , Mitronin Yu. A.
Published: August 2023

Background. At present, the priority direction of medical science and practice is the prevention of dental diseases, especially in patients with somatic pathology. Patients with dyscirculatory encephalopathy develop a complex of neurological disorders, accompanied by impaired motor functions of hands, lips and chewing muscles, which leads to ineffective cleansing of the oral cavity from food residues and formation of soft and mineralized dental deposits on the dental surface. Therefore, these patients should use additional personal hygiene products.

Objective. To evaluate the efficacy of hygienic care in patients with dyscirculatory encephalopathy using mouthwash with synbiotic complex.

Methods. An observational clinical study was conducted on the basis of Neurology Unit No. 2 of Research Center of Neurology, Department of Cariology and Endodontics and Department of Biological Chemistry, A.I. Yevdokimov Moscow State Medical and Dental University. The study enrolled 82 patients aged from 45 to 74 years with cerebrovascular disease, dyscirculatory encephalopathy, decompensation (I68.7, according to ICD-10). Patients were divided into two study groups: group 1 (n = 44) — patients who used mouthwash with synbiotic complex; group 2 (n = 38) — patients who did not use mouthwash. The efficacy of mouthwash with synbiotic complex was assessed by using an index score of a simplified Greene Vermillion Oral Hygiene Index (OHI-S), Russell Periodontal Index (PI), Papillary Bleeding Index (PBI), and physicochemical parameters of the oral fluid. Statistical processing of the results was carried out using Stat Plus 7 (Analyst Soft Inc., USA).

Results. The comparative analysis proved the efficacy of mouthwash with synbiotic complex. The hygienic status improved to (1.50 ± 0.12) points, the state of periodontal tissues — to (PI = (1.94 ± 1.45) points; PBI = (1.12 ± 0.11) points). The hydrogen index (pH) of the oral fluid decreased to weakly alkaline values — (7.92 ± 0.22) points; the activity of alkaline phosphatase decreased by a factor of 1.4, lactate dehydrogenase — by half, aminotransferases — by a factor of 1.3, and D-dimer — by a factor of 1.2.

Conclusion. The obtained results demonstrate the efficacy of mouthwash as an additional means for personal hygiene. Mouthwash with synbiotic complex should be included in the daily oral hygiene care for patients with dyscirculatory encephalopathy.
Examination of the Microvasculature During Wound Process of the Oral Mucosa when Using Dual-Wavelength Photodynamic Therapy: a Pre-Clinical Experimental Randomized Study
Authors: Durnovo E. A. , Tarakanova V. A. , Shakhova M. A. , Peretyagin P. V. , Durnovo S. A.
Published: August 2023

Background. Healing of open wounds in the oral cavity is often accompanied by infection and constant traumatization, which lead to impaired blood supply to the tissues, lack of trophic support and low oxygen supply to increasing proliferative processes. Recently, photodynamic therapy has taken its place among the methods for stimulating regeneration of oral mucosal tissues. The authors consider it essential to study the influence of photodynamic treatment on the functional state of the microvasculature in the wound tissues, which determines the transcapillary exchange and the tissue respiration, providing the tissue regeneration.

Objective. To study the photodynamic effect of sequential dual-wavelength radiation on the microvasculature in the wound tissues of the oral mucosa in vivo.

Methods. The study was carried out on 36 female outbred Wistar rats, weighing 200–250 g. The animals were divided into two groups: control group (n = 18) and experimental group (n = 18). Wound surfaces healed by secondary intention were modeled on the cheek mucosa of the animals. Dual-wavelength photodynamic therapy was performed in the 1st postoperative day in experimental group. The microcirculatory function was assessed by Doppler flowmetry before, and on days 3, 7 and 14 after wounding. The results were processed using IBM SPSS Statistics 26.0.0.1 (IBM Inc., USA).

Results. It has been established that dual-wavelength photodynamic therapy has a positive effect on the restoration of the microvasculature of the wound tissues. This therapy facilitated bypassing for microcirculatory flow on the 3rd day of the study, and increased the perfusion of tissues on the 7th. The experimental group did not have congestive-ischaemic phenomena in the wound region; the microcirculatory flow was augmented through the microcirculation regulation by the 14th day.

Conclusion. Following the obtained results the use of dual-wavelength photodynamic therapy can be considered as a promising method for restoration of the microvasculature of tissues in the oral mucosal trauma.
Evaluating the Effectiveness of the Original Designs of Immediate-Prostheses after Multiple Tooth Extraction: Clinical Cases
Authors: Gus’kov A. V. , Mashutin S. A. , Oleinikov A. A. , Zainutdinov M. K. , Klimenko E. A. , Toropova L. S.
Published: August 2023

Background. Rehabilitation of patients with chronic periodontal diseases leading to multiple tooth loss can be carried out using the method of immediate prosthetics. However, the likelihood of atrophy of denture-supporting tissues under non-physiological load with removable dental prostheses imposes special requirements for their design features.

Case description. Two patients seeking for dental surgical and prosthetic treatment for the diagnosis of chronic generalized periodontitis were treated in the dental clinic of Ryazan State Medical University named after academician I.P. Pavlov. Patient A. was mounted immediate prostheses made using additive technologies with the original design of the drug reservoir. Patient B. was mounted immediate prostheses with bases made of acrylic plastic, border ring of elastic polymer, and a drug reservoir made of polymethyl methacrylate. Patients underwent tooth extraction with immediate prosthetics. Patients were followed for 21 days. Criteria for the effectiveness of treatment included visual and palpatory control of extraction sites with a planimetric wound size analysis, assessment of microcirculation at the extraction site, control of the drug persistence in the reservoirs of prostheses.

Conclusion. The observations at the stages of prosthodontic treatment revealed that immediate prostheses made with the help of 3D modeling and printing technologies resulted in a normal course of healing after tooth extraction with the normalization of microcirculatory parameters at the surgical wound sites. When using combined prosthetic structures, healing of postoperative wounds also proceeded favorably, however, congestion in the microcirculatory system was noted.
Metal-free Photoinduced Defluorinative Carboxylation of Trifluoromethylalkenes with Formate
Authors: Du Fang-Ming , Yan Lu-Yu , Fu Ming-Chen
Published: August 2023

Herein, we report an efficient protocol in which formate is used as a precursor of the CO2 radical anion for the photoinduced defluorocarboxylation of α-trifluoromethylstyrene. A wide range of gem-difluorovinylacetic acids bearing a variety of functional groups were successfully obtained in the absence of metal catalysts. The synthetic value of this protocol was highlighted by successful gram-scale synthesis and late-stage modification for complex biologically active molecules. This protocol provides a complementary method that extends the range of currently available methodologies for accessing the structurally versatile gem-difluoroalkenes.
Binding Modes of High Stoichiometry Guest Complexes with a Co8L12 Cage Uncovered by Mass Spectrometry
Authors: Stares Daniel L. , Mozaceanu Cristina , Ward Michael D. , Schalley Christoph A.
Published: August 2023

We demonstrate how different modes of guest binding to a Co8L12 cubic cage host can be determined using ESI-MS. High stoichiometry guest binding was observed, with binding modes which showed the guests preferentially binding externally, but internal guest inclusion was also seen at higher guest loading.
Unlocking the Chain-Walking Process in Gold Catalysis
Authors: Bhoyare Vivek W. , Tathe Akash G. , Gandon Vincent , Patil Nitin T.
Published: August 2023

The successful realization of gold-catalyzed chain-walking reactions, facilitated by ligand-enabled Au(I)/Au(III) redox catalysis, has been reported for the first time. This breakthrough has led to the development of gold-catalyzed annulation reaction of alkenes with iodoarenes by leveraging the interplay of chain-walking and π-activation reactivity mode. The reaction mechanism has been elucidated through comprehensive experimental and computational studies.
A Variant on the CREST Algorithm for Non-Covalent Clusters of Flexible Molecules
Authors: King Nathanael J. , LeBlanc Ian , Brown Alex
Published: August 2023

Conformational ensemble generation and the search for the global minimum conformation are important problems in computational chemistry. In this work, a variant on the Conformer-Rotamer Ensemble Sampling Tool (CREST) algorithm designed for determining structural ensembles and energetics of non-covalent clusters of flexible molecules is presented. As with CREST, the energies are evaluated using the semiempirical GFN2-xtb extended tight binding approach. The utility of the algorithm is highlighted using dimers and trimers of model asphaltene compounds.
The Active Encounter Complex in Frustrated Lewis Pair Chemistry
Authors: Littlewood Alastair , Liu Tao , Chen Linjiang , Barendt Timothy , Jupp Andrew
Published: August 2023

Sustainable catalysts based on main-group elements have emerged as alternatives to expensive and environmentally unfriendly precious metal systems. Frustrated Lewis pairs (FLPs) are precluded from forming a classical Lewis adduct, and have displayed remarkably versatile reactivity in the fields of small-molecule activation and catalysis. The initial reaction of the acid, base and small molecule (e.g. H2) is formally termolecular, but the viability of this reaction is rationalised by the pre-association of the acid and base in an encounter complex. However, there is no experimental methodology to study the active encounter complex, i.e. the pre-associated complex that is in the correct orientation for small-molecule activation. Here we show that the charge-transfer band between PMes3 and B(C6F5)3 can be analysed by supramolecular techniques to provide the key thermodynamic parameter, Ka, for the active encounter complex. We also demonstrate that a higher concentration of active encounter complex in solution leads to a faster activation of hydrogen. This method enables researchers to directly probe the complex that underpins FLP small-molecule activation and subsequent catalysis, and will aid the design of more active sustainable catalysts.
Extraction Yield Prediction for the Large-Scale Recovery of Botanicals
Authors: Plommer Hart , Betinol Isaiah , Dupree Tom , Roggen Markus , Reid Jolene
Published: August 2023

The extraction of compounds from natural sources is essential to organic chemistry, from identifying bioactive molecules for potential therapeutics to obtaining complex, chiral molecule building blocks. Similar to chemical syntheses, anticipating the extraction conditions (flow rate, time, pressure, etc.) that will lead to the highest purity or recovery of a target molecule is difficult. Machine learning algorithms have been demonstrated to streamline reaction optimization processes by constraining the parameter space to be physically tested to predicted regions of high performance; however, it is not altogether clear if these techniques extend to the optimization of extractions where the process conditions are even more expensive to evaluate, limiting the data available for assessment. Combining information from several sources could provide access to the requisite data necessary for implementing a data-driven approach to optimization, but little data has been made publicly available. To address this challenge and to evaluate the capabilities of machine learning for optimizing extraction processes, we built a dataset on the carbon dioxide supercritical fluid extraction (CO2 SFE) of botanicals by harmonizing data from various companies. Using this combinatorial dataset and new techniques for maximizing the information obtained from a single large scale experiment, we built robust machine learning models to accurately predict extraction yields. The resulting machine learning models also allow for the prediction of out-of-sample biomass variations, process conditions, and scales.
An In Silico Database for Automated Feature Identification of High-Resolution Tandem Mass Spectrometry 13C Trimethylation Enhancement Using Diazomethane (13CTrEnDi)- Modified Lipid Data
Authors: Roberts Joshua , Rosales Christian , Wasslen Karl , Radnoff Angela , Godbout Elena , Diallo Jean-Simon , Manthorpe Jeffrey , Smith Jeffrey
Published: August 2023

13C-Trimethylation enhancement using diazomethane (13C-TrEnDi) is a chemical derivatization technique that uses 13C-labeled diazomethane to increase mass spectrometry (MS) signal intensities for phosphatidylcholine (PC) and phosphatidylethanolamine (PE) lipid classes, both of which are of major interest in biochemistry. In silico mass spectrometry databases have become mainstays in lipidomics experiments; however, 13C-TrEnDi modified PC and PE species have altered m/z and fragmentation patterns from their native counterparts. To build a database of 13C-TrEnDi modified PC and PE species, a lipid extract from nutritional yeast was derivatized and fragmentation spectra of modified PC and PE species were mined using diagnostic fragmentation filtering by searching 13C-TrEnDi modified headgroups with m/z 199 (PC) and 202 (PE). Identities of 25 PC and 10 PE species were assigned after comparing to predicted masses from the Lipid Maps Structure Database with no false positive identifications observed; neutral lipids could still be annotated after derivatization. Collision energies from 16 to 52 eV were examined, resulting in three additional class-specific fragment ions emerging, as well as a combined sn1/sn2 fragment ion, allowing sum-composition level annotations to be assigned. Using the Lipid Blast templates, a NIST-compatible 13C-TrEnDi database was produced based on fragmentation spectra observed at 36 eV and tested on HEK 293T cell lipid extracts, identifying 47 PC and 24 PE species, representing a 1.8-fold and 2.2-fold increase in annotations, respectively. The 13C-TrEnDi database is freely available, MS vendor-independent and widely compatible with MS data processing pipelines, increasing the throughput and accessibility of TrEnDi for lipidomics applications.
Anesthesia Management in A Case with Prader-Willi Syndrome
Authors: TUNÇ Yeliz , KARAASLAN Erol , ÖZKAN Ahmet Selim
Published: August 2023

Prader Willi (PWS) is the most common and rare genetic cause of obesity. Airway problems associated with obesity and hypotonia, increased risk of aspiration due to gastrointestinal (GI) motility and hyperphagia, obstructive sleep apnea syndrome (OSAS), difficult airway management, and postoperative respiratory failure risk due to narrow airway are the factors that complicate anesthesia management. It should be noted that there are many anatomical and physiological factors that may adversely affect perioperative anesthesia management in patients with PWS. For this reason, preoperative anesthesia evaluation and all preparations should be performed completely.
Is Omalizumab Treatment Used During the COVID-19 Pandemic Effective on the Frequency and Severity of COVID-19?
Authors: ÖZTAŞ KARA Rabia , SEVİMLİ DİKİCİER Bahar , YAĞMUR Ahmet Can , KARA Ahmet , YALDIZ Mahizer
Published: August 2023

Objective: The effects of drugs used in chronic spontaneous urticaria (CSU) and similar chronic dermatological diseases in COVID-19 continue to be the subject of many studies. The present study aimed to reveal the frequency and severity of COVID-19 infection in CSU patients treated with omalizumab and antihistamines.

Materials and Methods: CSU patients who were followed up and treated with omalizumab or antihistamines were evaluated retrospectively for clinical conditions with CSU and COVID-19 during the pandemic and compared with the control group regarding the incidence and severity of COVID-19 infection. In addition, urticaria disease severity was also compared with pre-pandemic scores for the CSU group.

Results: Real-time reverse transcription-polymerase chain reaction test positivity rate for SARS-CoV-2 was detected in 17.4%, 30.1%, and 34.8% of the patients in omalizumab, antihistamine, and control groups, respectively (p= 0.001). The disease activity scores were increased in both antihistamine and omalizumab treated compared to the pre-covid state CSU patients, while the increase was minor in patients using omalizumab.

Conclusion: The fact that COVID-19 infection was seen less frequent and urticaria activity scores were lower during the infection in the omalizumab group suggests that omalizumab treatment is safe and convenient to use during COVID-19 infection.
Rare factor deficiencies in children: A review of 23 cases from a single center
Authors: TERZİ Özlem
Published: August 2023

Objective: The prevalence of rare factor deficiency (RFD) is one in 500.000-2.000.000 in the general population. Different symptoms may occur from mild or moderate bleeding to severe and life-threatening bleeding. This study aimed to evaluate children with RFD in a single Turkish center.
Materials and Methods: The records of children with RFD (Factor I, V, VII, X, XIII deficiency) were evaluated retrospectively.
Results: Twenty-three cases (70% female) were reviewed. The mean age of patients was 9.52 years at review, and mean follow-up was 66.3 months. The most common factor (F) deficiencies were FVII (35%) and FX (35%). Parental consanguinity was present in 65%. The most common symptoms were mucocutaneous bleeding and epistaxis. Regarding treatment, fresh frozen plasma (FFP) was given to two patients, FXIII concentrate was given to one patient, and prothrombin complex concentrate (PCC) was given to two patients. Prophylaxis was started in patients with recurrent bleeding. Of the 16 receiving prophylaxis, three received FFP, seven received recombinant coagulation factor VIIa, and six received PCC.
Conclusion: Treatment was given to a fifth of patients while nearly three-quarters received prophylaxis. As parental consanguinity was present in most of these patients, obtaining a detailed family history may aid in diagnosis.
Does Hemostasis with Controlled Arterial Hypertension Before Surgical Wound Closure in Total Knee Arthroplasty Affect the Amount of Bleeding and Transfusion Need?
Authors: ÇERÇİ Mehmet Halis
Published: August 2023

Objective: We aimed to assess the efficacy of hemostasis while controlled augmentation of arterial blood pressure before surgical closure after total knee arthroplasty (TKA).

Materials and Methods: This retrospective cohort involved data collected from the medical files of 87 patients (62 women, 25 men) who underwent TKA using hypotensive epidural anesthesia (HEA). Patients were allocated into two groups. Group I (n=44) received HEA, while Group II (n=43) had controlled arterial hypertension before surgical closure. Perioperative hemoglobin and hematocrit levels, systolic and diastolic blood pressure, and the amount of erythrocyte suspension transfusion were compared between the two groups.

Results: The average age of our series was 66.41 ± 6.17 (range: 57-78) years. Notably, the amount of bleeding on postoperative 1st, 2nd, 4th, 12th, and 24th (p=0.031, 0.032, 0.001, 0.001, 0.001, respectively) hours was significantly less in Group II. There were no significant differences between the two groups for complications, operative duration, perioperative bleeding, duration of follow-up and hospitalisation, and compared descriptives.

Conclusion: Our data indicated that controlled elevation of mean arterial pressure before surgical closure might allow the achievement of meticulous hemostasis after TKA. Further prospective, randomised, controlled trials on more extensive series are warranted to verify our preliminary results.
HUBUNGAN MANUSIA DENGAN LINGKUNGAN DALAM CERPEN KAYU NAGA KARYA KORRIE LAYUN RAMPAN (KAJIAN EKOKRITIK GREG GARRARD)
Authors: Yuliyani Liya
Published: August 2023

This study aims to describe the form of human relations with the natural environment and the forms of natural damage contained in the short story Kayu Naga by Korrie Layun Rampan. The method used in this study is a qualitative descriptive method using Greg Garrard's ecocritical approach. The data source in this study is the short story Kayu Naga by Korrie Layun Rampan. Data collection techniques using reading and note-taking techniques. The results of this study are 1) the relationship between humans and the natural environment in the short story Kayu Naga shows a close relationship between humans and the natural environment and 2) the form of damage to the natural environment contained in the short story Kayu Naga by Korrie Layun Rampan is caused by human activities that destroy forests by felling trees, hunting birds, and clearing land.
VARIASI BAHASA DALAM VIDEO YOUTUBE GITA SAVITRI DEVI BERJUDUL TOXIC POSITIVITY | BEROPINI EPS. 39
Authors: Khoirunnisa Shofwatun Nida , Putri Siti A'thisya
Published: August 2023

The use of language variation is a form of language diversity due to the social diversity of speakers. This is important for us to know in order to understand the existence of various forms of variety of languages as a form of education. The purpose of this study was to find out how the forms of language variations contained in YouTube videos on Gita Savitri Devi's channel entitled Toxic Positivity | Opinionated Eps. 39. The method in this study uses data analysis through a qualitative descriptive approach. The data of this study is in the form of language variance used by Gita Savitri Devi when communicating or conveying information. The source of data used in this study is in the form of a speech from a YouTube video on Gita Savitri Devi's channel entitled Toxic Positivity | Opinionated Eps. 39. The results of the study are in the form of the use of language or speech of speakers using various language variations in it. 1) Variations of speakers, namely, the use of dialects as Jakarta society, 2) Registers that show the use of language that refers to the world of psychology, 3) The formality aspect of using casual or casual varieties to make the video fresh, light, and familiar and 4) Oral means used. The variety of language selection is divided into two, namely code mixing and code switching. Code mixing is seen in the speaker's speech when pronouncing some vocabulary mixed with English in Indonesian. The code transfer found is in the form of external code transfer from Indonesian to English.
Polo-like kinase-1 mediates hepatitis C virus-induced cell migration, a drug target for liver cancer
Authors: El-Khobar Korri E , Tay Enoch , Diefenbach Eve , Gloss Brian S , George Jacob , Douglas Mark W
Published: August 2023

Polo-like kinase 1 (PLK1) is a regulator of cell mitosis and cytoskeletal dynamics.PLK1overexpression in liver cancer is associated with tumour progression, metastasis, and vascular invasion. Hepatitis C virus (HCV) NS5A protein stimulates PLK1-mediated phosphorylation of host proteins, so we hypothesised that HCV–PLK1 interactions might be a mechanism for HCV-induced liver cancer. We used a HCV cell-culture model (Jc1) to investigate the effects of virus infection on the cytoskeleton. In HCV-infected cells, a novel posttranslational modification in β-actin was observed with phosphorylation at Ser239. Using in silico and in vitro approaches, we identified PLK1 as the mediating kinase. In functional experiments with a phosphomimetic mutant form of β-actin, Ser239 phosphorylation influences β-actin polymerization and distribution, resulting in increased cell motility. The changes were prevented by treating cells with the PLK1 inhibitor volasertib. In HCV-infected hepatocytes, increased cell motility contributes to cancer cell migration, invasion, and metastasis. PLK1 is an important mediator of these effects and early treatment with PLK1 inhibitors may prevent or reduce HCC progression, particularly in people with HCV-induced HCC.
Decoding the obesity–cancer connection: lessons from preclinical models of pancreatic adenocarcinoma
Authors: Ruiz Christian F , Garcia Cathy , Jacox Jeremy B , Lawres Lauren , Muzumdar Mandar D
Published: August 2023

Obesity is a metabolic state of energy excess and a risk factor for over a dozen cancer types. Because of the rising worldwide prevalence of obesity, decoding the mechanisms by which obesity promotes tumor initiation and early progression is a societal imperative and could broadly impact human health. Here, we review results from preclinical models that link obesity to cancer, using pancreatic adenocarcinoma as a paradigmatic example. We discuss how obesity drives cancer development by reprogramming the pretumor or tumor cell and its micro- and macro-environments. Specifically, we describe evidence for (1) altered cellular metabolism, (2) hormone dysregulation, (3) inflammation, and (4) microbial dysbiosis in obesity-driven pancreatic tumorigenesis, denoting variables that confound interpretation of these studies, and highlight remaining gaps in knowledge. Recent advances in preclinical modeling and emerging unbiased analytic approaches will aid in further unraveling the complex link between obesity and cancer, informing novel strategies for prevention, interception, and therapy in pancreatic adenocarcinoma and other obesity-associated cancers.
PERFIL DOS EGRESSOS DA TURMA 2013 DO PPGECEM/REAMEC
Authors: Nascimento Filho Virgílio Bandeira do , Martines Elizabeth Antonia Leonel de M.
Published: August 2023

Este trabalho tem o objetivo de traçar o perfil dos egressos da segunda turma Programa de Pós- Graduação em Educação e Ciências e Matemática (PPGECEM) da Rede Amazônica de Educação em Ciências e Matemática (REAMEC), buscando identificar o impacto dessa formação na vida dos egressos e na região amazônica. A pesquisa consiste em um estudo de caso, no qual se utilizou análise documental e questionário on line para produção dos dados, analisados estatisticamente (questões fechadas) e por Análise Textual Discursiva (ATD) (questões abertas). Como resultados temos a distribuição dos egressos por gênero e instituição em que trabalham, bem como o impacto da formação doutoral por campo de atuação, inserção em grupos de pesquisa e programas de pós-graduação e produção acadêmica (ensino, pesquisa, extensão e gestão). Constatou-se um número significativo de mulheres nessa turma (26 mulheres e 16 homens), representando uma porcentagem de 59%. Em relação à formação inicial dos egressos, notou-se a predominância dos cursos de licenciaturas em Pedagogia e Matemática. Quanto ao intervalo de tempo entre a graduação e o doutorado, vinte (20) dos doutores esperaram entre 11 a 20 anos para cursar doutorado, evidenciando a escassez de oferta de cursos dessa natureza na Amazônia Legal. O principal impacto da formação doutoral dessa turma pode ser notado na produção científica sobre Ensino de Ciências e Matemática e os egressos vêm contribuindo com a criação e manutenção de grupos de pesquisa e programas de pós-graduação na área, além de seu importante papel na formação de professores na região amazônica.
ANÁLISE DE PRODUÇÃO CIENTÍFICA SOBRE O PCK (MTSK) PARA O ENSINO DE FUNÇÕES NA EDUCAÇÃO BÁSICA
Authors: Vianna Júnior Helio Cinquini , Carbo Leandro , Junior Jeferson Gomes Moriel
Published: August 2023

O tópico de Funções tem diversas aplicabilidades na vida cotidiana e seus conceitos estão presentes em toda a Educação Básica. O objetivo deste trabalho é analisar o Conhecimento Didático do Conteúdo (PCK) para o ensino de Funções na Educação Básica em produções científicas (estado do conhecimento) que se encontram na Web Of Science entre 2015 e 2020. O referencial teórico adotado é o modelo teórico-analítico Mathematics Teachers’ Specialized Knowledge (MTSK). Trata-se de uma abordagem qualitativa, quanto ao procedimento é uma pesquisa bibliográfica do tipo estado do conhecimento das produções científicas sobre o conhecimento docente para o ensino de Funções na Educação Básica, utilizando como instrumento de análise o iMTSK. Os resultados revelam 39 indício e/ou evidências de conhecimento especializado em todos os subdomínios do Conhecimento Didático do Conteúdo em 6 produções analisadas, sendo eles sobre tarefas para o ensino dos conceitos de Função com contextos que se aproximam do cotidiano dos estudantes, exemplos, analogias de Funções como uma máquina como estratégia de ensino e metodologia de resolução de problemas (Conhecimento dos Tópicos Matemáticos); potencialidades, dificuldades e possíveis erros dos estudantes relacionados ao tópico de Funções, contextos que são familiares para os estudantes, palavras similares que podem ser utilizadas para melhor compreensão da definição matemática (Conhecimento das Características de Aprendizagem de Matemática); e habilidades que os estudantes deverão adquirir, conhecimentos prévios, conceitos que serão necessários mais adiante e sobre a importância da compreensão total do tópico de Funções para a aprendizagem de tópicos futuros (Conhecimento dos Padrões de Aprendizagem Matemática).
Changes in Transversus Abdominis Muscle Thickness, Low Back Pain, and Standing Balance after Foam Roller Exercise in Female Adults: A Randomized Controlled Trial
Authors: Nakagawa Kazumasa , Shimizu Himeno
Published: August 2023

Objectives: The purpose of this study was to compare transversus abdominis muscle thickness and exercise performance before and after foam roller exercise (FRex).Methods: This was a randomized controlled trial (RCT). Twenty-four adult female subjects were randomly divided into two groups: (1) an intervention group that underwent FRex, and (2) a control group that remained in the supine position for the same period. Transversus abdominis muscle thickness, modified Star Excursion Balance Test (mSEBT) score, and degree of back pain experienced during daily work were measured before and after the intervention in each group using a visual analog scale (VAS), and a within-group comparison was conducted for each value. The amount of change before and after the intervention was calculated, and the correlation between each measurement item was examined.Results: Pre-intervention and post-intervention comparisons in the intervention group revealed significantly greater values for transversus abdominis lower fiber thickness and mSEBT scores, and significantly lower values for low back pain after the intervention. A moderate negative correlation was found between changes in lower back pain VAS scores and changes in transversus abdominis lower fiber thickness and mSEBT scores. Moreover, a moderate positive correlation was noted between changes in the transversus abdominis lower fiber thickness and mSEBT scores.Conclusions: These results suggest that FRex may be beneficial for preventing low back pain and improving balance.
The Drivers of Innovation at Universities: A Case of South African Universities
Authors: Ramabodu Busisiwe , Mashau Pfano , Farisani Tshililo Ruddy
Published: August 2023

Purpose: The study is aimed to contribute to an understanding of the drivers of innovation that lead to practical solutions at South African Universities.
 
Theoretical Framework: This article borrows from both Institutional Theory and organizational Theory’s perspectives on innovation. Those theories are crucial in exploring the views of employees and leaders on what they deemed to be drivers of innovation at their respective universities with the view to suggest a sustainable conceptual model for public universities’ innovativeness.
 
Design/methodology/approach: A mixed method approach was adopted, entailing an online survey and semi-structured interviews, to explore innovation from both an employee's and senior leaders' perspective. The population for the study included employees from two Universities, and random sampling and purposive sampling were applied respectively, for the survey and semi-structured interviews. Survey data were analysed using SPSS and semi-structured interviews data were analysed using Nvivo 12.
 
Results: Several drivers for innovation were found, including the need to respond to societal challenges, the drive for collaborative knowledge exchange, global rankings, individual employee drive, a nurturing environment, leadership, students, and government.
 
Research, Practical & Social implications: Careful reflections must be entered into by all relevant internal and external stakeholders (see figure 1) so that Universities can define the scope of innovation they wish to pursue based on their resources and contexts since Universities differ. 
 
Originality/value: The original contribution to knowledge of this study lies in the suggested conceptual model for South African universities as they position themselves to innovatively address local and global socio-economic challenges.