bluuebunny/crossref_metadata_2025 huggingface dataset:
Enzyme-Linked DNA Displacement (ELIDIS) Assay for Ultrasensitive Electrochemical Detection of Antibodies
Authors: Díaz-Fernández Ana , Ranallo Simona , Ricci Francesco
Published: November 2023

Here we report the development of a method for the electrochemical ultrasensitive detection of antibodies that couples the programmability and versatility of DNA-based systems with the sensitivity provided by enzymatic amplification. The platform, termed Enzyme-Linked DNA Displacement (ELIDIS), is based on the use of antigen-DNA conjugates that, upon the bivalent binding of a specific target antibody, induce the release of an enzyme-DNA hybrid strand from a preformed duplex. Such enzyme-DNA hybrid strand can then be electrochemically detected with a disposable electrode with high sensitivity. We applied ELIDIS to demonstrate the sensitive (limit of detection in the picomolar range), specific and multiplexed detection of five different antibodies including three clinically relevant ones. ELIDIS is also rapid (it only requires two reaction steps), works well in complex media (serum) and is cost-effective. A direct comparison with a commercial ELISA kit for the detection of Cetuximab demonstrates the promising features of ELIDIS as a point-of-care platform for antibodies detection.
A Widespread, Diiron-dependent Diterpenoid Hydroxylase
Authors: Chen Sarah , Liu Chang , Liu George , Rittle Jonathan
Published: November 2023

This communication describes the discovery of a family of monooxygenases that selectively hydroxylate abundant abietane diterpenoids. Previous studies on abietic acid metabolism had implicated an unknown C(5) hydroxylase and herein we determine that this role is filled by DitZ. Structural and sequence analyses indicate that DitZ represents a new member of the Amidohydrolase-related Dinuclear Oxygenase (ADO) superfamily. Kinetic studies on multiple DitZ enzymes reflect highly efficient and selective C(5) hydroxylation of a range of diterpenoids using only O2 and a sacrificial reductant (sodium ascorbate) as co-reagents. These enzymatic reactions are promoted by a diiron cofactor that has access to multiple observable redox states.
Unraveling the Influence of Molecular Vibrations on Electron Transport in Single-Molecule Junctions via Ab Initio Quantum Chemical Modeling
Authors: Jelenfi Dávid P. , Tajti Attila , Szalay Péter G.
Published: November 2023

A computational methodology, founded on chemical concepts, is presented for interpreting the role of nuclear motion in the electron transport through Single-Molecule Junctions (SMJ) using many-electron ab initio quantum chemical calculations. Within this approach the electron attached states, modeling the system formed upon the arrival of an excess electron from the bulk, are computed at the SOS-ADC(2) level along the individual normal modes of the encapsulated molecules. The inspection of the changes in the partial charge distribution of the many-electron states allows the quantification of the electron transport and the estimation of transmission probabilities. This analysis improves the understanding of the relationship between internal motions and electron transport. Two SMJ model systems are studied for validation purposes, constructed from a conductor (BDA, benzene-1,4-diamine) and an insulator molecule (DABCO, 1,4-diazabicyclo[2.2.2]octane). The trends of the resulting transmission probabilities are in agreement with the experimental results, demonstrating the capability of the approach to distinguish between conductor and insulator type systems, thereby offering a straightforward and cost-effective tool for such classifications via quantum chemical calculations.
MALDI TIMS IMS Reveals Ganglioside Molecular Diversity within Murine S. aureus Soft Tissue Abscesses.
Authors: Djambazova Katerina V. , Gibson-Corley Katherine N. , Freiberg Jeffrey A. , Caprioli Richard M. , Skaar Eric P. , Spraggins Jeffrey M.
Published: November 2023

Gangliosides play important roles in innate and adaptive immunity. The high degree of structural heterogeneity results in significant variability in ganglioside expression patterns and greatly complicates linking structure and function. Structural characterization at the site of infection is essential in elucidating host ganglioside function in response to invading pathogens, such as Staphylococcus aureus (S. aureus). Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) enables high-specificity spatial investigation of in-tact gangliosides. Here, ganglioside structural and spatial heterogeneity within an S. aureus-infected mouse kidney abscess was characterized. Differences in spatial distributions were observed for gangliosides of different classes and those that differ in ceramide chain composition and oligosaccharide-bound sialic acid. Furthermore, integrating trapped ion mobility spectrometry (TIMS) allowed for the gas-phase separation and visualization of monosialylated ganglioside isomers that differ in sialic acid type and position. The isomers differ in spatial distributions within the host-pathogen interface, where molecular patterns revealed new molecular zones in the abscess previously unidentified by traditional histology.
A safer and more sustainable by design perspective in biocatalytic amide-bond coupling of in silico controlled chemical space
Authors: Söderberg Elisabeth , Felicitas von Borries Kerstin , Norinder Ulf , Petchey Mark , Chavan Swapnil , Holmquist Hanna , Johansson Magnus , Cotgreave Ian , Hayes Martin , Fantke Peter , Syrén Per-Olof
Published: November 2023

Amide bond synthesis is ranked as the second most important challenge in key green chemistry research areas identified by the ACS Green Chemistry Institute. Generating amides by chemical synthesis typically relies on toxic chemicals, the use of organic solvents, and stoichiometric amounts of coupling reagents, which is associated with generation of considerable amounts of waste. While developing more sustainable amide-bond forming reactions has been in focus, significantly less attention has been given to toxicity, sustainability and environmental aspects of the underlying amine and acid substrates and their corresponding coupled products. Here, we explore biocatalytic amide bond formation from a Safer and more Sustainable by Design perspective, for which a controlled chemical space was navigated based on potential human and environmental toxicity of the substrates and related products. In silico filtering of 15374 amines and 25994 acids generated 188 amine and 54 acid building blocks that could be classified as safe by the threshold we established, referred to herein as “safechems”. Based on the match of the known substrate scope of the marinacarboline amide bond synthetase McbA from Marinactinospora thermotolerans SCSIO 00652 with the structures of safechems, we generated a panel of robust and promiscuous ancestral ATP-dependent amide bond synthetases (ABS) using McbA as template. Ancestral ABS enzymes exhibited an increased thermostability of up to 20 °C and generated complementary biocatalysts to the extant enzyme with respect to amine and acid specificities in the coupling of a representative safechem subset of 17 amines and 16 acids (responding to 272 possible amides). Out of the 272 possible amides considered experimentally from the subset of safechems that were tested in biocatalytic coupling, 38 amides were detected by UPLC-MS out of which 32 were novel structures. Finally, the pool of safechems and their corresponding amides were evaluated by USEtox (the UNEP-SETAC toxicity model), analyzing not only the intrinsic properties of the compounds but also performing a risk assessment based on fate and exposure. The amides were in general predicted as more toxic compared to the starting acids and amines, emphasizing the importance of starting from low-toxicity building blocks. Even when restricting the pool of amines and acids based on their predicted toxicity, it did not prevent the discovery of new amides with potentially potent applications as exemplified here by substructures that are part of drug candidates for e.g. cancer treatment. Safer and more sustainable by design is capable of generating an array of novel products within a controlled chemical space.
Overhaul of the piper cub aircraft replica in ultralight category
Authors:   University of Žilina, Kachel Josef , Rostáš Ján
Published: November 2023

The subject of this article is focused on the description of the overhaul process involving a classic aircraft design, which is registered under the administration of the Light Aircraft Association of the Czech Republic. The research is divided into three chronological parts; the introduction, the main part and the conclusion. The first part outlines the subject of the research and its individual objectives. The main part deals with the historical background of the Piper Cub type and the current state of operation in the Czech Republic and Slovakia, both from the technical and legislative point of view. A description of the given aircraft will follow and then, mainly, the elaboration of each part of the overhaul process and its individual procedures. Among the individual steps, there will be a description of the required process for increasing the maximum take-off weight of the overhauled aircraft. In the final part, the evaluation of the inputs described above will be performed and the results of the given study will be outlined. The research should provide a comprehensive description of appropriate maintenance and the overhaul process in complexity involving the vintage classic aircraft design under the legislation of the ultralight aircraft category. Another output will be the definition of a procedure for increasing the maximum take-off weight thanks to new, updated legislation.
Enhancing safety in glider flights
Authors:   University of Žilina, Gánovský Martin , Kandera Branislav
Published: November 2023

The theme of paper is to find out new possibilities in safety improvements during sailplanes flights, focusing primarily on flights when the separation with other traffic is reduced. At the beginning a summary of glider evolution across the centuries is made starting with the interwar period to the shapes that we know from the latest exhibitions. First part of the paper is followed by the analysis of the current available technical measurements which enhance safety and reduce the probability of in-flight collisions during various phases of flight, including latest and most modern technical implementations used by glider operators to enhance the safety of themselves and others. We will also look up for any available legislative rules based both on national civil authority regulations defined by state itself and for regulations that were created by Fédération Aéronautique Internationale (FAI) which covers most of glider competitions organized world-wide. In practical part we followed our thoughts about how to improve the current situation in this part of the aviation industry. In following steps, we decided to ask the glider pilots about their personal experience with reduced separation caused by nearby gliders during different phases of operations. Generally, there is a huge number of mid-air collisions during sailplane competitions and flight phases where pilots are crossing each other by minimal separation (mountain ridge flying). We decided to suggest minor legislative regulations and technical implementations to improve current situation world-wide and make these flights as safe as possible with minimizing of future incidents.
PENGELOLAAN ALOKASI DANA DESA DALAM PROGRAM PEMBANGUNAN DESA DI DESA MUKTIHARJO KECAMATAN MARGOREJO KABUPATEN PATI
Authors: Utomo Ikbal Sadam Tri , Sukimin Sukimin , Nuswanto A. Heru
Published: November 2023

Pembangunan desa adalah upaya peningkatan kualitas hidup dan kehidupan untuk sebesarbesarnya kesejahteraan masyarakat Desa. Penelitian ini bertujuan untuk mengetahui pengelolaan alokasi dana desa dalam program pembangunan desa di Desa Muktiharjo Kecamatan Margorejo Kabupaten Pati. Metode penelitian yang digunakan dalam penelitian ini adalah Penelitian hukum nondoktrinal/empiris. Data yang digunakan dalam penelitian ini adalah data primer dan data sekunder. Data primer diolah dari hasil wawancara dengan narasumber dan dokumentasi. Sedangkan data sekunder diperoleh dengan bahan hukum primer dan bahan hukum sekunder. Data dianalisis dengan metode analisa data kualitatif yang bersifat deskriptif dengan pendekatan induktif. Hasil penelitian ini menunjukan bahwa pembangunan di Desa Muktiharjo sudah berjalan cukup baik dan telah sesuai dengan ketentuan perundang-undangan yang berlaku. Menurut Pasal 78 ayat 2 UndangUndang Nomer 6 Tahun 2014 Tentang Desa, Pembangunan Desa meliputi tahap perencanaan, pelaksanaan, dan pengawasan. Faktor pendukung dalam pengelolaan Alokasi Dana Desa dalam program pembangunan desa adalah partisipasi masyarakat, transparansi, perencanaan yang baik dan sarana prasarana. Sedangkan faktor penghambatnya yaitu kurangnya Pendidikan dan pengetahuan, kurangnya pemantauan dan pengawasan, dan keterbatasan anggaran dana. Upaya untuk mengatasi hambatanya dengan melakukan pelatihan dan pendidikan kepada pemerintah desa dan masyarakat desa serta menjalin kerjasama dengan organisasi nirlaba, swasta atau lembaga keuangan untuk mendapatkan sumber pendanaan tambahan.
Evaluating the Popularity of Programming Languages in Indonesia using the MABAC Method
Authors: Widodo Edi , Prathivi Rastri , Hadi Soiful
Published: November 2023

In today's fast-paced digital era, the selection of a programming language plays a crucial role in the success of software development projects. This research aims to create an index of popularity for programming languages using the multi-attributive border approximation area comparison (MABAC) method. The study considers four data sources, including Jobstreet.Com, LinkedIn.Com, Google Trends, and Tiobe.com, to obtain the necessary information for evaluating the popularity of programming languages in Indonesia. The data range for this study is from May 1, 2020, until April 31, 2021. The results of the study indicate that the top ten programming languages in terms of popularity in Indonesia are Java, SQL, php, JavaScript, C, C++, python, C#, Visual Basic, and Assembly. The index can serve as a useful guide for strategic decision-making regarding the selection of programming languages for addressing the needs of the information technology market in Indonesia. The study's findings can be useful for software developers, IT professionals, and decision-makers in organizations who need to select a programming language for their software projects in Indonesia. The MABAC method used in this study can also be applied to other contexts for evaluating the popularity of programming languages.
A distinctive ensemble deep learning model for brain tumor MRI image classification
Authors: Narasimha Rao Thota , Vasumathi D.
Published: November 2023

Brain tumor detection is challenging for radiologists. The early detection of brain tumors is critical, and automated techniques are necessary to achieve this goal. In this study, an automated method is proposed to distinguish between malignant and non-cancerous brain Magnetic Resonance Images (MRI). An ensemble technique was proposed that includes two Deep Learning (DL) models, a 6-Convolutional Neural Network (6-CNN) model with an efficient end-to-end, and a pre-trained Residual Network50 (ResNet50) model. The MRI image classification was experimented in two directions: one using the average probabilities of the ensemble model, and the other considering the optimal weights of the ensemble model for a Support Vector Machine (SVM) classifier with different kernels. Two datasets, Harvard and Retrospective Image Registration Evaluation (RIDER), were used to evaluate the performance of the proposed model. The 6-CNN-ResNet-SVM model achieved the highest accuracy of 97.32% for 10-fold validation, with the remaining performance metrics being an Area Under the Curve (AUC) of 0.98%, sensitivity of 93.62%, specificity of 98%, False Negative Rate (FNR) of 0.06, and False Positive Rate (FPR) of 0.00 for the linear kernel. The proposed model can identify tumors more accurately and quickly than existing approaches.
A study on the role of women entrepreneurs in small scale industries in Kanyakumari district and their problems with special reference to age and marital status
Authors: Neelakantan Subramonian
Published: November 2023

The primary objective of this paper is to examine the role of women entrepreneurs in small-scale industries. This study focuses on the challenges faced by women entrepreneurs in Kanyakumari district, Tamil Nadu, India. In this study, both secondary and primary data were used. The findings reveal that women entrepreneurs in Kanyakumari district are primarily in the age group of 36 to 45 years and 46 to 55 years, with a significant proportion having attained graduate or postgraduate education. Their annual earnings in small-scale industries range from Rs. 2, 00,001 to 4, 00,000, signifying their economic significance. The study also highlights that women entrepreneurs in the region often establish their smallscale industries in rural areas, emphasizing the role of entrepreneurship in promoting rural development. The most prevalent industries among women entrepreneurs include textiles, food processing, and agro-based industries. . In this study, snowball sampling technique has been used by the researcher. In this study, the researcher has selected 125 women entrepreneurs from small scale industries in Kanyakumari district. The small-scale industries located in Kanyakumari District have a very good future prospect. The factors which create a good future of the industry are the size of market, the nature and pattern of demand, customers' attitude and behaviour, economic conditions of individual customer, cost of manufacturing and marketing etc.
The impact of inflationary condition on the financial growth and sustainability of tobacco farmers in the rural areas
Authors: Hastings Kumwenda , Albert Chipeta
Published: November 2023

Rural tobacco farmers can face serious financial crises under the condition of constant price changes due to inflation. Inflationary conditions can also destabilize the financial plans of rural tobacco farmers. It was therefore the objective of this paper to assess the impact of inflationary conditions on the financial growth and sustainability of tobacco farmers in rural areas. A survey approach is applied in this research. Data was gathered through a primary source, and SPSS was applied to analyze the data, which was computed and presented in the form of charts and graphs. It was found that inflationary conditions have a significant negative impact on the financial growth and sustainability of tobacco farmers in rural areas. These include an increase in the price of farm inputs, low quantity and quality of tobacco, and a low price of tobacco on the auction floors. Thus, the study recommends that the government should reduce taxes, especially on the importation of agricultural materials, and the government should adopt proper strategies to hedge the risk of inflation, and, of course, farmers should work on the quality of tobacco.
Influence of organizational climate in job satisfaction among the employees in logistics firms
Authors: Moulicharan S. , Thanga Baalaji Amuthan
Published: November 2023

Organizational climate can be defined as the perceived attributes of an organization and its sub-systems as reflected in the way an organization deals with its members, groups, and issues. The primary objective of this study is to examine the impact of organizational climate on job satisfaction with reference to logistics firms. The study of organizational climate is necessary for an insight into important dimensions such as communication, cooperation, creativity, employee satisfaction, etc., and these factors determine the effectiveness of the organization. If the organizational climate is favorable, there will be greater organizational effectiveness. The results reveal that there is no significant association between age, knowledge, and enterprise recognition, while gender differences suggest that female employees may be more satisfied with their superiors' responses to issues or problems. A strong, positive correlation is found between the effectiveness of grievance settlement and the satisfaction of top management's decisions related to grievances.
Aplikasi Manajemen Absensi Kelas Dengan Menggunakan Fingerprint
Authors: Saputro Rinaldi Wisnu , Hardyanto R.Hafid , Ciptadi Prahenusa Wahyu
Published: November 2023

Program studi informatika merupakan prodi di fakultas sains dan teknologi Universitas PGRI Yogyakarta. Berdasarkan data yang diperoleh sistem absensi dosen di prodi informatika ini sudah menggunakan alat fingerprint namun pengolahan data masih menggunakan cara mengunduh file absensi menggunakan flashdisk. Pengolahan absensi dengan cara ini dapat menimbulkan beberapa masalah, salah satunya seringkali terjadi kesalahan perhitungan. Selain itu banyak menyita waktu dan kurang efektif terutama bagi BAUK dalam membuat laporan tingkat kehadiran dan ketidakhadiran dosen secara keseluruhan. Sehingga dibutuhkan teknologi yang dapat membantu dalam melakukan absensi dan mengelola data absensi bagi dosen dan pegawai di Prodi Informatika UPY. Penelitian ini dilakukan di Program Studi Informatika Universitas PGRI Yogyakarta. Sesuai dengan judul yang disusun oleh penulis yaitu mengenai aplikasi manajemen absensi kelas dengan menggunakan fingerprint, maka pada penelitian ini akan merancang dan membangun sebuah alat untuk absensi kelas. Alat yang dibuat akan menggunakan perangkat mikrokontroler Arduino Uno sebagai pusat control dan sensor FPM10A sebagai sensor fingerprint. Data yang dihasilkan oleh sensor akan dikirim menggunakan komponen ESP8266 yang merupakan modul wifi ke sever kemudian data ditampilkan dalam bentuk tabel laporan absensi pada halaman web https://siab.my.id/. Aplikasi Manajemen Absensi Kelas dengan menggunakan Fingerprint yang dibuat dapat digunakan untuk mencatat dan menyimpan data absensi dosen dan pegawai di Prodi Informatika UPY, serta dapat digunakan sebagai media untuk membuat laporan absensi. Hasil pengujian alat dan sistem menunjukkan bahwa sistem ini layak dan dapat digunakan sebagai alat untuk mengelola absensi dosen dan pegawai di Prodi Informatika UPY.
KEMİK İLİĞİ NAKLİNİN ADLİ DNA KİMLİKLENDİRME ÜZERİNE ETKİSİ
Authors: TEZEL Ayşen
Published: November 2023

Suç olaylarının aydınlatılması için olay yerinden elde edilen biyolojik kalıntılardan DNA profilinin elde edilmesi ve adli DNA kimliklendirme analizi ile çok sayıda olay çözümlenebilmektedir. Ancak iki veya daha fazla farklı DNA’ya sahip kimerik kişilerin varlığı, bu tür analizleri zorlaştırmaktadır. Olay yerinden elde edilen örneklerde iki kişiye ait DNA elde edilmesi olayın niteliği bakımından adli biyoloji uzmanlarına şaşırtıcı gelmemektedir. Ancak mukayese amaçlı alınan referans örneklerde bu karışıma rastlamak, nadir ama gözden kaçırılmaması gereken bir husustur. Bazen mukayese örnekleri, karışım olarak değil de tamamen farklı bir DNA profiline sahip olabilmektedir. Bu durumda şüpheli şahıs olayla irtibatlı olsa dahi yanlış dışlama yapmak mümkün olabilmektedir. Bunun yanısıra, olay yerinden alınan biyolojik leke, kemik iliği nakli yapılmış bir şahsa ait ise, olayla irtibatlı olan şahıs, donörün DNA profilini içerdiği için donör, olayla irtibatlı olarak değerlendirilebilecektir. Bu ve benzeri istisnaları atlamamak için mukayese edilen şahısların tıbbi geçmişlerinin bilinmesi gereklidir. Kan/kemik iliği nakli yapılan şahıslardan elde edilen biyolojik kalıntılar kimerik özelliğe sahip olmaları nedeniyle, şahsın tıbbi geçmişine ulaşılamıyorsa saç foliküllerinden DNA analizi yapılması önerilmektedir.
Bu derlemede; adli DNA kimliklendirme yapılmadan önce mağdur/şüpheli şahsın, genetik yapısını etkileyebilecek hususların var olup olmadığının mutlaka sorgulanması gerekliliği vurgulanmak istenmiştir. Günümüzde tıbbın ve teknolojinin hızla gelişmesiyle gerek kimerik gerekse mozaik DNA farklılıklarına daha sık rastlanmaktadır. Tüp bebek uygulamaları, döllenmiş yumurta nakli ile zigotların füzyonunda anomali görülme olasılığı, DNA farklılıklarına yol açmakla birlikte, zaman zaman doğal yollarla oluşan kimerizme de rastlanmaktadır. Bu çalışmada özellikle kan / kemik iliği nakli yapılmış şahısların, donöre ait DNA profili taşıması nedeniyle tıbbi geçmişin bilinmesi adli soruşturmalara doğru yön verecektir.
LYRICAL SITUATION IN THE LYRICAL PLOT
Authors:   Russian State University for the Humanities, Malkina Victoria Ya.
Published: November 2023

The article aims mostly to define terminologically the lyrical situation as one of the main components of the lyrical plot. To achieve the intent, the article addresses the following objectives. First, analyzing the earlier writings on the subject, from “Aesthetics” by Hegel to modern works on the plotology and poetics of lyricism (B.V. Tomashevsky, V.M. Zhirmunsky, L.Ya. Ginzburg, T.I. Silman, Yu. Lotman, V. Grechnev, V.I. Tiupa, N.D. Tamarchenko and others). Secondly, formulating our own definition of the lyrical situation as a static state of the inner world of a lyric verse. Third, showing the relationship of the situation with other important components of the lyrical plot. It is a spatiotemporal structure, which largely determines the lyrical situation, as well as the category of event, which is connected (or opposed) to the situation on the principle of dynamics / statics. Fourth, proving the correlation between the lyrical situation and the title of the poem. Finally, conclusions are drawn about the place of the lyrical situation in the lyrical plot of the poem, understood as a system of event-situational elements of the lyrical work, given from the position of the lyrical subject in the process of his reflection deployment.
ТROJAN PLOTS IN THE RUSSIAN CHRONOGRAPH OF 1617 AND THE SWEDISH “CENTURIA HISTORIARUM”
Authors:   Russian State University for the Humanities, Liustrov Mikhail Yu. ,   Institute of World Literature of the Russian Academy of Science
Published: November 2023

The article provides a comparative analysis of 24 chapters of the Russian Chronograph of 1617 and the “stories” from the Swedish book Centuria Historiarum (Stockholm, 1646) addressing to the events of the Trojan War. The reasons for the absence of plots about Medea’s revenge, the Trojan horse, and the Palladium abduction in the Russian text are named and explained, which are separated into separate “stories” in the Swedish book, and signifcantly abridged in the Chronicle of Martin Belsky – the source of the specified chapter of the Chronograph.
ON THE THEATRICALITY OF TH. MANN’S NOVEL “CONFESSIONS OF FELIX KRULL”
Authors:   Moscow State Linguistic University, Chernova Yuliya V. , Belyakov Dmitrii A. ,   Moscow State Linguistic University
Published: November 2023

The article analyzes functioning of the category of theatricality in Thomas Mann’s novel “Confessions of Felix Krull”. The article also considers the embodiment of the formal and informative aspects of this category. The authors pay close attention to the image of the main character, whose characteristic feature becomes proteanism: throughout the narrative, he appears before the reader in different roles and guises. The image of Felix Krull combines both actor’s and director’s types of the theatricality presented in the novel, which allows the author to maintain the conflict between the illusory festivity of a theatricalized life and the grayness of reality. For the main character of the novel, theatricality becomes the main way to comprehend the world, while innate talent for transformation, skillful play, and techniques of enchanting the audience are the basis of his behavior. The functioning of the category of theatricality at different levels of the text and the use of various theatrical techniques in the novel promote disclosure of the concept of the artist in the writer’s work. Mann’s novel about the artist is conjugated with a liminal, borderline world perception. The opposition of spirit (art) / life (burgher), gradually turning into correlation, is the main path for evolution of his artistic world.
“COLLECTION OF MOTLEY CHAPTERS”. BOOK REVIEW: PETUKHOVA, E.N. (2023), ABOUT CHEKHOV. CONTINUATION OF THE CONVERSATION. MONOGRAPH (SAINT PETERSBURG: ROSTOCK, 2023. 336 P.)
Authors:   Russian State University for the Humanities, Odesskaya Margarita M.
Published: November 2023

The review considers the monograph by H.N. Petukhova “About Chekhov. Continuation of the conversation”. It is shown that Petukhova’s monograph reflects the trends of modern studies оf Chekhov’s works, presents various aspects of the analysis of his literary texts using mainly typological and comparative methods. The special value of the book lies in the fact that, thanks to the comparative analysis and involvement of a wide range of material from both the pre-Chekhov era and modern literature, the continuity of the literary process in its dynamics is shown in it.
A pszichiátriai betegek ellátásának jogi és szakmai háttere
Authors: Péter László
Published: November 2023

A pszichiátria és a jog kezdetektől fogva összekapcsolódik egymással. Már az ókorban szabályozni próbálták a közösségekben élő elmebetegekkel kapcsolatos bánás- és eljárásmódot. Az orvosi szakmák közül mai is a pszichiátria betegellátás során találkozunk leggyakrabban az orvoslás és a jog területét egyaránt érintő kérdésekkel. A gyakorló pszichiáternek figyelemmel kell lennie azokra a jogszabályokra, amelyek az egészségügyi ellátást, az orvosi tevékenységet, a betegek, illetve az egészségügyi dolgozók különféle kötelezettségeit és jogait általában szabályozzák. Pszichiátriai intézménybe 3 féle módon lehet kerülni, melyet a beteg aktuális pszichés állapota határoz meg, így megkülönböztetünk önként vállalt, sürgősségi és kötelező gyógykezeléseket. A pszichiátriai betegeket is megilletik bizonyos betegjogok a kezelés során, melyeket azonban éppen a beteg gyógyulása érdekében korlátozni lehet.
„Miért szeretne katonatiszt lenni?” : A Nemzeti Közszolgálati Egyetem katonai alapképzési szakjaira jelentkezők pszichológiai alkalmasságvizsgálatának tapasztalatai különös tekintettel a motivációra
Authors: Czérna Dominika , Magyar Annamária
Published: November 2023

Kutatásunkban tartalomelemzéssel a Nemzeti Közszolgálati Egyetem Hadtudományi és Honvédtisztképző Karának katonai alapképzési szakjaira jelentkező diákok motivációs fogalmazásait vizsgáltuk. Arra kerestük a választ, hogy a katonatiszti pályát választó fiatalok milyen motivációs tényezőket tartanak lényegesnek a pályaválasztási döntésük során. Ennek érdekében a 2022-es évben történő pszichológiai alkalmasságvizsgálatok eredményeit dolgoztuk fel.
The use and impact of pre-task planning time in the monologic task of LanguageCert speaking tests
Authors: Lampropoulou Leda
Published: November 2023

Extensive oral tasks or monologues of different types (e.g., presentations, storytelling) are often used as second language acquisition tasks in the fields of language learning and language testing. Pre-task planning time is a common provision to test-takers who may use different strategies to prepare their response. High-stakes tests, such as the LanguageCert IESOL suite of tests, include planning time prior to monologic tasks and offer test-takers the opportunity for note-making. While the language assessment literature supports planning time for reasons of face validity and fairness, research studies do not consistently support correlations between planning and performance. The current study examined the differences between the scores of test-takers who used note-making as a strategy and those who did not. The research questions investigated: (i) whether test-takers who make notes during planning time in the monologue task of an L2-English B2 speaking task are awarded higher scores on their spoken performances than test-takers who do not and (ii) test-takers’ perceptions of their use of planning time. The findings suggest that making notes did not improve test-takers’ performance against any of the rating criteria used in the assessment. It also revealed that most test-takers use their planning time to generate their main propositions.
Trend Model Project Based Learning di Jenjang Pendidikan Dasar
Authors: Pradana Pascalian Hadi , Tahir Muhammad , Agustini Ketut , Sudatha I Gede Wawan
Published: November 2023

Pada zaman milenial, model Project Based Learning (PJBL) semakin menjadi sorotan karena kemajuan teknologi, perubahan dalam kebutuhan pekerjaan, dan perkembangan pola pikir siswa. Melalui pelaksanaan proyek, siswa bisa mengembangkan bakat dan keterampilannya. Untuk itu  penelitian ini bertujuan membahas lebih detail pembelajaran berbasis proyek pada tingkat satuan pendidikan dasar, berdasarkan verifikasi hasil analisis artikel penelitian untuk mengkaji lebih detail apakah model pembelajaran PjBL efektif diterapkan dalam pembelajaran pada tingkat satuan pembelajaran di pendidikan dasar dan menggali keterampilan berpikir manakah yang dapat meningkatkan hasil belajar untuk selanjutnya dapat diterapkan dalam berbagai kegiatan pembelajaran di kelas dalam mencapai tujuan pembelajaran yang menarik dan dapat diterima siswa. Penelitian ini menggunakan metode Systematic Literature Review (SLR). Penerapan SLR dalam penelitian ini mencakup tiga tahapan systematic literature review (SLR) yaitu planning, conducting dan reporting. Hasil yang diperoleh dari penelitian yang telah dilakukan ialah Penggunaan model Project Based Learning sangat efektif dalam meningkatkan kreativitas, motivasi dan hasil belajar khususnya pada pendidikan dasar, sehingga siswa tertarik dalam keterampilan pembuatan produk dan mempunyai kemampuan berpikir kritis. Hal ini dibuktikan dengan hasil analisis dari 19 artikel sedangkan 5 artikel menunjukkan bahwa penerapan model PjBL akan sangat optimal dipadukan dengan metode, strategi, media, APE dan metode pembelajaran tertentu.
How Can the European Energy Crisis Reshape the Power Sector Reform Endeavors of GCC Countries?
Authors: Petitet Marie , Elshurafa Amro , Felder Frank
Published: November 2023

Energy prices in Europe have been soaring, and policymakers are trying to find solutions to immediately contain the energy prices for end-consumers and to enhance the market design in the longer term. This paper discusses some of the current events that are facing the power sector in Europe and some challenges that may face the industry more generally in the future. Then, we propose policy recommendations in the context of Gulf Cooperation Council (GCC) countries by contrasting the power sector design in place in this region with that in the European region.
Geospatial modeling and analysis of COVID-19 prevalence in Lagos state Nigeria
Authors: Joel. Izuchukwu Igbokwe  , Akinwumi Abodunrin Akinpelu  , Andrew. Osagie Oliha  , Princecharles Chukwuemeka Anyadiegwu  , Wille Augustine Ojanikele
Published: November 2023

The impact of COVID-19 pandemic has spatial dimensions which when properly interpreted could lead to better understanding of different characteristics of the pandemic. Thus, the impact of COVID-19 can be mapped for spatial analysis of its attributes. From health science, the research needs include the ability to cross variables of different kinds to interpret the COVID-19 phenomenon, its spatial analysis and spatiotemporal dimensions, its geographical impact on decision-making and everyday life, and predictive modelling of the evolution of the disease. For these reasons, this research aimed at geospatial modelling and analysis of COVID-19 prevalence in Lagos State Nigeria with a view to determine the spread and distribution pattern of COVID-19 as well as its hotspots in Lagos State Nigeria. Its objectives are to: identify and model the spatial distribution of COVID-19 in Lagos State and map the prevalence of COVID-19 in Lagos State. The methodology involved the analysis of the spatial distribution of COVID-19 between 2020 and 2022 and COVID-19 prevalence analysis. Results indicate a substantial surge in confirmed COVID-19 cases, rising from 21,717 to 56,596 during the study period. Alimosho and Eti-Osa LGAs emerged as the most affected regions, reporting the highest total confirmed cases. Additionally, confirmed deaths increased from 4,090 in 2020 to 9,874 in 2022, with Eti-Osa consistently reporting the highest number of fatalities, followed by Ikorodu and Surulere. Assessing the prevalence of confirmed cases and deaths across different LGAs, Eti-Osa consistently exhibited the highest prevalence, indicating a significant proportion of cases and deaths relative to its population.
Reinventing quality in foundry castings through gearbox housing optimization: A case study approach
Authors: Patil Sachin S  , Naik Girish R  , Naik Poornima G
Published: November 2023

The Indian Foundry cluster is a key player in the production of metal castings used across various industries, including automobiles, railways, machinery, sanitary appliances, pipes, gears, earth-moving equipment, cement, electric circuits, pumps, valves, and wind turbines. Grey iron is the predominant material, constituting around 68% of all cast parts. In this context, Kolhapur plays a pivotal role in the production of diverse castings in India, primarily focusing on grey iron and SG iron castings, both of which are ferrous materials. The Kolhapur Cluster of Foundries is expected to produce approximately 650,000 tonnes annually, contributing about 7% of India's total cast iron production. However, this cluster encountered challenges related to higher rejection rates for castings due to a variety of defects. One established foundry in Kolhapur faced stricter rejection standards for specific castings. To address these issues, a comprehensive case study was conducted to reduce rejection rates in this foundry. The primary focus of the study was on a specific casting, the Gearbox Housing, which had an initial average rejection rate of 13%. In some instances, this rejection rate spiked to as high as 18% in a single month, resulting in significant revenue losses for the company. The defects observed in Gearbox Housing castings were categorized into two main types: Methoding, Filling, and Solidification-related defects, which included issues like shrinkage porosity and hot tears. Sand and mold-related defects, such as sand inclusion, sand drop, and mold quality issues. The initial step in addressing these defects involved utilizing casting simulation techniques to analyze and tackle shrinkage and porosity issues. A new gating system was designed to enhance the casting process. In the subsequent stage of defect reduction, the Design of Experiment (DoE) tool was employed. This data-driven approach helped refine and optimize the manufacturing process to minimize defects and enhance the overall quality of Gearbox Housing castings. By implementing these strategies, the foundry in Kolhapur successfully reduced rejection rates, thereby safeguarding company revenue and ensuring the production of high-quality castings for various industrial applications.
A comparative analysis of phytochemical and biochemical activities of two varieties of mango seed kernels
Authors: B S Sipra  , Karubakee Dhal  , Sanhita Padhi
Published: November 2023

The present research work embraces the study of moisture content, yield percentage, organoleptic properties, and phytochemical and biochemical estimation of two varieties of mango seed kernel using different solvents with various polarity such as n-hexane, chloroform, ethyl acetate, acetone, methanol, and aqueous. Moisture content and percentage of yield were also calculated which were more in Banganpalle variety. The qualitative phytochemical and biochemical screening indicated the presence and amount of phenol, flavonoid, tannin, quinone, oxalate, saponin, sterol, triterpene, carbohydrate, protein, and lipid. The quantitative analysis result showed that phytochemicals like phenol, flavonoids, and tannin were present in higher content in the seed kernel of Neelam as compared to Banganpalle. The results from biochemical tests showed a high content of carbohydrates, proteins, and lipids in Neelam. The present study therefore conclusively points out that the mango seed kernel is a good source of various pharmacologically active substances that make a potential antioxidant, anti-inflammatory, and other therapeutic uses.
Internet gaming disorder and its varied impacts on adolescent age group
Authors: Chitra M.B  , Trishala D  , Manoj K Pandey  , Girish Bhushan
Published: November 2023

This comprehensive review article examines the multifaceted impacts of Internet gaming disorder (IGD) or gaming addiction on individuals, with a particular focus on adolescents and young adults. It begins by defining IGD based on criteria from the American Psychiatric Association and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). The review highlights the global prevalence of IGD among adolescents, emphasizing the need for further research and intervention strategies to address this growing concern. It delves into the psychological impacts, including depression, anxiety, cognitive impairments, social isolation, and poor impulse control. The behavioral impacts encompass irritability, academic problems, social withdrawal, financial issues, poor time management, and neglect of responsibilities. Additionally, the review discusses the familial and parental impacts, such as strained family relationships, insecure attachments, family environment disruption, conflicts, and weakened family bonds. The physical health impacts are explored, including sedentary behaviors, sleep disturbances, musculoskeletal problems, dietary issues, and eye strain. Overall, this review underscores the complex and far-reaching consequences of IGD, highlighting the urgency of addressing this issue to promote the well-being of affected individuals.
Improving the characteristics of a sensory response during jury training
Authors: Antoinette Béhibolo Yoboué  , Moussa Coulibaly  , Doudjo Soro  , Emmanuel Nogbou Assidjo
Published: November 2023

Sensory analysis is a scientific discipline that involves analyzing products in a controlled, standardized way. It requires a panel of tasters to produce an average of the tasting results. The aim of this study is, on the one hand, to list the difficulties associated with panel performance and, on the other, to provide input for the development of panelist training. The jury was made up of men and women over the age of 18. They were engineering and doctoral students respectively from the School of Agricultural Sciences and the Polytechnic Doctoral School. The scoring sheet was used to specify preferences in terms of food tastes, flavors, textures, aspects and colors. Next, respondents were asked to indicate any dietary constraints or allergies they might have, and their level of interest in the project. The improvement in the jury's performance was most pronounced on repeatability. The results show that 24 simple descriptors were used, as the jury had drawn up this list and demonstrated the ability to evaluate them. In addition, 50% of tasters had normal sensory acuity. Evaluation of the panel's discrimination performance revealed that 95.11% to 99.51% were able to differentiate between the concentrations of the products presented to them. Finally, the different stages studied are consecutive and require personal application to better judge the target product.
Sentiment Analysis of Student Comment on the College Performance Evaluation Questionnaire Using Naïve Bayes and IndoBERT
Authors: Baihaqi Wiga Maulana , Munandar Arif
Published: November 2023

The development of the Internet has played a significant role in various aspects of life and has generated vast amounts of data, including student comments about universities. The challenge in analyzing comment data is the large number of students providing feedback, which makes manual analysis impractical. The purpose of this study is to analyze the performance evaluation of universities by students in terms of positive and negative sentiments, with the aim of assessing the level of student satisfaction with all elements and areas of university operations. This research utilized the Naïve Bayes algorithm and the IndoBERT model to build a classification model based on questionnaire data, starting from the data collection process, data preprocessing, feature extraction, modeling, and evaluation. The results of the IndoBERT model demonstrated the best performance, with an accuracy of 85%. The IndoBERT model effectively recognizes sentiments in text, distinguishing between positive and negative comments regarding university performance.
Analysis and Implementation of the Apriori Algorithm for Strategies to Increase Sales at Sakinah Mart
Authors: Fernanda Karisma Dwi , Widodo Arifin Puji , Lemantara Julianto
Published: November 2023

Sakinah Mart is a retail business that focuses on determining the layout of goods based on perceptions and implementing a discount system for specific items, but without offering bundling packages. This research aims to provide recommendations using the apriori algorithm as a decision-making tool for analyzing the layout of goods and bundling packages. The apriori algorithm is a data mining technique used to discover association rules and analyze customer purchases, specifically identifying the likelihood of customers buying item X along with item Y. The algorithm consists of two main components: support and confidence. The research applies the Cross-Industry Standard Process for Data Mining (CRISP-DM) method, utilizing the apriori algorithm to analyze sales transaction data. The dataset includes 2000 sales transactions with two attributes, resulting in the identification of 2 and 3 itemsets. The findings include 16 rules with a minimum support value of 42% and a minimum confidence of 85% for the layout of goods. For bundling packages, 5 rules with a minimum support value of 40% and a minimum confidence of 90% were generated. These results offer valuable recommendations to the company, using the apriori algorithm for analyzing the layout of goods and bundling packages.
Implementation of Convolutional Neural Network Method in Identifying Fashion Image
Authors: Aditya Christian Sri Kusuma , Nastiti Vinna Rahmayanti Setyaning , Damayanti Qori Raditya , Sadewa Gian Bagus
Published: November 2023

The fashion industry has changed a lot over the years, which makes it hard for people to compare different kinds of fashion. To make it easier, different styles of clothing are tried out to find the exact and precise look desired. So, we opted to employ the Convolutional Neural Network (CNN) method for fashion classification. This approach represents one of the methodologies employed to utilize computers for the purpose of recognizing and categorizing items. The goal of this research is to see how well the Convolutional Neural Network method classifies the Fashion-MNIST dataset compared to other methods, models, and classification processes used in previous research. The information in this dataset is about different types of clothes and accessories. These items are divided into 10 categories, which include ankle boots, bags, coats, dresses, pullovers, sandals, shirts, sneakers, t-shirts, and trousers. The new classification method worked better than before on the test dataset. It had an accuracy value of 95. 92%, which is higher than in previous research. This research also uses a method called image data generator to make the Fashion MNIST image better. This method helps prevent too much focus on certain details and makes the results more accurate.