bluuebunny/crossref_metadata_2025 huggingface dataset:
Workshop Pembuatan Snack Makanan Sehat Pencegah Penyakit Degeneratif Kepada Warga Kelurahan Sukamaju Cilodong Kota Depok
Authors: Waluyo Dyah Ayuwati , Halimatushadyah Ernie , Yardha Muhamad , Sa’diyah Halimatus , Hakim Mariza Lushiana , Putri Nabilla Ervina , Alcheret Syarifah Silvi , Francesco Falco
Published: July 2024

Penyakit degeneratif adalah suatu kondisi kesehatan dimana organ atau jaringan tubuh dalam keadaan yang terus menurun dari waktu ke waktu.  Kurangnya aktivitas fisik, gaya hidup, dan pola makan merupakan faktor yang berkontribusi terhadap peningkatan angka kejadian penyakit degeneratif.  Kegiatan penyuluhan di Kelurahan Sukamaju RT 06/ RW 10 dengan tahapan meliputi perizinan tempat, penyewaan perlengkapan dan peralatan, sosialisasi, penyuluhan dan penutup. Menu yang akan di demo masakan yang disampaikan yaitu “Stick Bayam”, “Jus Seledri”, “Dimsum Lele". Kegiatan Demo Masak Pembuatan Makanan Ringan dan Minuman Sehat merupakan upaya penting untuk meningkatkan pemahaman dan kesadaran ibu PKK RT 06 dan RW 10 kelurahan yang sebagian besar adalah ibu rumah tangga yang memiliki peran untuk menjaga asupan gizi dalam makanan pada keluarga untuk mencegah penyakit degeneratif. Kegiatan ini dimaksudkan agar masyarakat dapat mengubah asupan pola makan untuk mencegah terjadinya penyakit degeneratif sejak dini dan dapat memenuhi nutrisi.
Pemanfaatan Usaha Mikro Kecil Menengah Berbasis Digital Marketing dan Penguatan Kekayaan Intelektual di Desa Batubantar, Kecamatan Cimanuk
Authors: Sulasno Sulasno , Dwisvimiar Inge , Wahyuddin Wahyuddin , Fitadi Ria Dicky
Published: July 2024

Sektor Usaha Mikro Kecil Menengah merupakan bagian yang sangat penting dalam mendorong perekonomian masyarakat di  Desa Batubantar, Kecamatan Cimanuk Kabupaten Pandeglang. Namun, seringkali sektor ini, yang digerakkan oleh masyarakat, menghadapi berbagai kendala, hambatan sekaligus tantangan, untuk itu perlun adanya pembinaan, edukasi, sosialisasi dan pendampingan dari berbagai pihak terutama Permerintah Daerah terkait dan PendidikanTinggi.   Adapun produk usaha mikro kecil menengah diantaranya roti sakahoyong, keripik Emak Ipah. yang menghadapi kesulitan dalam mempromosikan dan membangun merek produk mereka di era digital. Oleh karena itu, Metode Pengabdian ini menggunakan pendekatan kualitatif dengan metode FGD (Focus Group Discussion)  Seminar, melibatkan tokoh masyarakat, pemateri dari Dosen, instansi terkait dan tentunya para mahasiswa Kegiatan Pengabdian kepada masyarakat ini bertujuan untuk memberikan solusi terhadap masalah yang ditemui selama observasi. Solusi yang diusulkan mencakup pengajaran kepada para pelaku usaha mikro kecil menengah (UMKM) mengenai pemanfaatan pemasaran digital dan marketplace, serta perlindungan hukum kekayaan intelektual khususnya penguatan merek dagang, cipta, paten rahasia dagang desain industri DTLST dan lain lain.
Varieties of Spanish in Contact: Overt Sociolinguistic Accommodation Among Western-Andalusians in Madrid
Findings from a Preliminary Study
Authors: Baruzzo Valeria
Published: July 2024

The Andalusian variety is one of the most recurrently studied in Spanish. However, little research has been made so far to investigate intra-language variation among young and highly-educated Andalusians. Additionally, in approaching the study of intra-linguistic variation, delving into speakers’ own views on certain linguistic elements is important to gain a deeper understanding of the beliefs behind their linguistic behavior. For these reasons, this contribution presents the sociolinguistic views of a group of young and highly-educated Andalusians in a displacement situation, where their less prestigious vernacular variety faces a more prestigious variety, i.e. the one of the capital city of Spain (Madrid).
Effects of National Language Policies on Local Varieties
Campanian and Sicilian Case Studies
Authors: Simoniello Maria , Ganfi Vittorio
Published: July 2024

This study analyses the impact of institutional language policies on the status of two local varieties spoken in the area of Messina and in the province of Caserta, which are non-officially promoted in national laws concerning plurilingualism but specifically addressed in legislative measures at Regional level. In order to unveil the impact of language policy on speaker view of languages, this study offers a quantitative analysis, based on questionnaires and focusing on (a) speakers’ judgments about their regional languages; (b) local varieties collocation in their repertoires; (c) correlation between specific communicative situations and local varieties; (d) differences in linguistic prestige assignment among demographic classes of informants.
Il carcere visto da dentro
Authors: Gonnella Patrizio
Published: July 2024

Prison is the most widely used punishment globally. There are ten million prisoners worldwide. A number that makes it almost impossible for the punishment to actually serve a social rehabilitation purpose. Prison, seen from the inside, is a place designed to produce pain. It is the place of public revenge. This is the demand that comes from outside society, all the more so in times of penal populism. Direct observation of the prison institutions is fundamental to understanding its actual not legal function.
Linguaggi, immagini e spazi del carcere
Authors: Monaci Viola
Published: July 2024

This contribution shows the results of a survey on the expressive elements and dialogical practices conducted within some prison institutes in Tuscany, Umbria and Triveneto. The first step, the study of the characteristics and variables inherent in communication between disjointed realities, the intra- and extra-prison population, was useful to understand and know the use of verbal/non-verbal codes and sub-codes peculiar to the context of reference. The second was useful to verify the existence and vitality of a prison we-code (common code) in addition to the visual analysis of the signs (graffiti and murals) inserted in a context that by its very nature does not allow space for pictorial or other forms of expression.
TEUN A VAN DIJK'S CRITICAL DISCOURSE ANALYSIS ON KOMPAS.COM NEWS
Authors: Islamiyah Hanifa Yuti , Hermaliza Hermaliza
Published: July 2024

Critical discourse analysis is the process of explaining a text (social reality) to individuals or groups who tend to pursue their goals in order to create a framework that must be achieved. Teun A. Van Dijk's theory states that the main emphasis of critical discourse analysis is on inequality and power dynamics in social phenomena. The formulation of the problem in this research is how Teun A. Van Dijk's critical discourse analysis is viewed from the dimensions of the text on Kompas.com news. The aim of this research is to describe the text dimensions of Teun A. Van Dijk's model in the context of online news on kompas.com. The data collection technique used is content analysis technique, while data analysis uses the Teun A Van Dijk model of critical discourse analysis approach. The data source in this research is the kompas.com website regarding three news texts about corruption cases. The news discussed reveals real examples of inequality, domination and power. The research results show that news has three text dimensions, namely macrostructure, superstructure and microstructure. Macrostructure is used to convey opinions, facts and explanations regarding corruption events that occur. The superstructure of the three news items that meet the requirements consists of introduction, body and conclusion. Microstructure contains several elements, including background, details, intent, presuppositions, sentence form, pronouns (pronominals he, his, her, and we), lexicon, graphics, and metaphors (figures of speech).
DETEKSI POLIMORFISME GENE MTHFR C677T MENGGUNAKAN RFLP HINF I
Authors: Lestari Ira Cinta , Pakaya David
Published: July 2024

Latar Belakang: Penelitian ini bertujuan untuk mengetahui adanya polimorfisme C677T pada gene yang mengkode enzim Methylene tetrahydrofolate reductase (MTHFR) manusia yang berperan penting pada siklus metilasi.
Metode: Digunakan 5 sampel DNA. DNA diisolasi dari darah tepi dengan metode saturated salt. Genotyping MTHFR C677C dan C677T ditunjukkan dengan (Polymerase Chain Reaction) PCR dan Restriction Fragment Length Polymorphism (RFLP) gene MTHFR menggunakan enzim retriksi Hinf I.
Hasil: Terdapat 2 sampel dengan genotipe wild type C677C dan 3 sampel dengan genotipe poliformisme C677T.
Kesimpulan: Polimorfisme C677T terjadi pada sebagian besar populasi dan berkaitan dengan faktor resiko berbagai penyakit.
ANALISIS PERBEDAAN KADAR GULA DARAH PADA PENDERITA DM TIPE 2 DENGAN IMT DI PUSKESMAS AMPLAS
Authors: Permatasari Siti Indah , Ayu Mayang Sari
Published: July 2024

Diabetes mellitus merupakan penyakit metabolik dengan insidensi dan prevalensi yang terus meningkat setiap tahunnya. Indonesia berada pada peringkat ke-7 dari 10 negara dengan jumlah penderita diabetes terbanyak, yaitu sebesar 10,7 juta. Diabetes mellitus tipe 2 merupakan tipe yang paling banyak ditemukan yaitu sekitar 90-95%. Salah satu upaya untuk mengontrol kadar gula darah pada penderita diabetes mellitus adalah dengan memperbaiki status gizi, salah satunya dengan pengukuran Indeks Massa Tubuh (IMT). Penelitian ini bersifat survey analitik dengan desain cross sectional. Jumlah sampel penelitian 91 orang yang diambil menggunakan metode Purposive Sampling. Data terkumpul merupakan data primer hasil wawancara dan kuesioner. Analisis data menggunaan uji Chi Square. Hasil penelitian menunjukkan sebagian besar berjenis kelamin perempuan (67,0%), berusia 18-59 tahun (50,5%), pendidikan ≥ SMA (74,7%), tidak bekerja (58,2%), IMT <18,5 dan >25,0 (64,8%), dan KGD ≥200 mg/dL (58,2%). Uji hipotesis didapati p value 0,777 (p value  > 0,05) dengan nilai PR 0,930 menunjukkan tidak terdapat perbedaan antara kadar gula darah pada penderita diabetes mellitus tipe 2 dengan indeks massa tubuh normal dan tidak normal di Puskesmas Amplas, Kota Medan.
ANALISIS PENGARUH MEDIA SOSIAL TERHADAP PRESTASI ANAK
Authors: Kurniasih Ari , Mayang Sari Ayu
Published: July 2024

Penggunaan media sosial bermanfaat dalam aspek informasi dan komunikasi. Pemanfaatan media sosial menunjang aspek pendidikan, tetapi jika berlebihan menyebabkan ketagihan dan berdampak buruk pada prestasi anak. Penelitian bertujuan menganalisis pengaruh media sosial dengan prestasi anak. Penelitian bersifat survei analitik dengan desain cross sectional. Sampel pada penelitian menggunakan teknik total sampling sesuai inklusi berjumlah 245 siswa. Data primer dari kuesioner Bergen Social Media Addiction Scale dan data sekunder dari nilai rapor siswa pada awal semester dan akhir semester. Analisis penelitian menggunakan uji Sommers’d. Hasil penelitian menyatakan bawah pengaruh media sosial sebesar 8,8% kategori ringan, 87.2% kategori sedang, dan 9,0% kategori berat. Kekuatan hubungan di dapat hasil 0,001, nilai sig. 0,999 (p>0,05) yang berarti kekuatan hubungan sangat lemah atau tidak ada hubungan sama sekali. Maka disimpulkan tidak terdapat pengaruh media sosial dengan prestasi anak.
A study on monitoring the implementation of high school mathematics and curriculum following the introduction of the high school credit system
Authors: Jeong Kyunghee , Jeon Youngju ,   The Korean School Mathematics Society
Published: July 2024

The high school credit system was introduced to prepare for future changes in the educational environment and to pro- vide customized education according to students' aptitudes and career paths. In accordance with this purpose of introduction, it is very important to collect and analyze the necessary information to review the adequacy and usefulness of student-centered curriculum organization and operation. This is also applicable to mathematics subjects. Therefore, we investigated the course time allocation for each subject of probability, calculus, and geometry in 89 general high schools in Jeonbuk, as well as the current status of high school credit system operation. In addition, through interviews with teachers in charge of high school credit system operation at 89 schools, we identified the actual conditions of high school credit system operation in school sites and the diffi- culties encountered in the process of curriculum operation. As a result, first, the student's right to choose mathematics and elec- tive courses should be guaranteed without discrimination based on school size in the implementation of the high school credit system. Second, when organizing the mathematics curriculum, it is necessary to avoid excessive subject organization tailored to the SAT and entrance exams and organize and operate a curriculum according to students' career paths and aptitudes. Third, there is a need for a change in the perception of students, teachers, and schools about the high school credit system.
Exploring the direction of evaluation questions through comparative analysis of the 2015·2022 revised middle school mathematics curriculum achievement standards
Authors: Yang Seong Hyun ,   The Korean School Mathematics Society
Published: July 2024

A teacher's understanding of the curriculum is one of the factors that has the greatest influence on teaching and learn- ing, including evaluation. Teachers' differential interpretation of the curriculum may actually increase students' learning burden, so more detailed guidelines are required for changed content elements and achievement standards when revising the curriculum. This paper analyzed the 2015·2022 revised middle school mathematics curriculum focusing on changes in content elements and achievement standards, summarized matters for teachers to keep in mind when creating assessment questions at school, and presented example questions related to the changed achievement standards based on this. The research results of this paper can not only be used as teacher training materials to create assessment questions based on the 2022 revised middle school mathematics curriculum, but can also provide implications for writing middle school mathematics textbooks.
Exploring gifted school students’ process-based assessment performance using GeoGebra: Focused on the quadratic curves
Authors: Oh Seoyoung ,   The Korean School Mathematics Society
Published: July 2024

This study presented a case study of teaching and learning process-based assessment using GeoGebra for students at a gifted school. Process-based assessment can be very effective for gifted students in terms of creativity, which is one of the most important elements of gifted education. Nevertheless, the development of teaching and learning methods and materi- als including process-based assessment for gifted students have been still somewhat underdeveloped. The researcher con- ducted eight experimental lessons using GeoGebra centered on quadratic curves in the  course for 79 students at an OO gifted and talented school, and then evaluated the results of students' ellipse constructions using GeoGebra according to the given conditions. Based on the students' output, it was possible to evaluate the students' construction results and the process of solving the problem in a process-based way by utilizing GeoGebra's construction protocol and construction protocol navigation bar functions, as well as to identify some of the defining characteristics of individuals found in the problem-solving process. In addition, In teaching and learning situation of this study students could perform metacognitive thinking activities, and it was confirmed that this was a teaching example that could promote mathematical creativity.
Diagnostic tools for studying the readiness of blind students for rhythmic exercises (in primary school)
Authors: Nikitina Anna Valentinovna
Published: July 2024

The aim of the research is to substantiate the need to introduce a diagnostic procedure that allows for a comprehensive assessment of various aspects of blind children performing different types of exercises that correspond to the content of the main sections of the correctional and developmental course “Rhythmics”. The paper covers the problems of physical development of blind students, difficulties in the formation of their motor sphere, the overcoming of which involves the implementation of correctional and pedagogical work through the organization and conduct of the correctional course “Rhythmics”. The developed diagnostic procedure and the results of the initial testing of the appropriate diagnostic tools are presented, confirming the need to continue studying the readiness of blind students to master the course “Rhythmics” at other levels of education. The scientific novelty consists in elaborating the use of diagnostic tools to assess pupils’ readiness to master the correctional and developmental course “Rhythmics”, which are not developed in pedagogy for blind and visually impaired. As a result, the directions and parameters of studying the readiness of blind students to master the course “Rhythmics” were determined. The results obtained account for the expediency of including the tested diagnostic methodology in the correctional and educational process of blind students.
Translation of popular science videos from English into Russian: Dubbing and subtitles
Authors: Bogdanov Kirill Romanovich , Zamaraeva Galina Nikolaevna , Kolycheva Anna Igorevna
Published: July 2024

The purpose of the study is to identify the main techniques and methods of translation from English into Russian, in particular the most commonly used translation transformations found in audiovisual translation, using the example of popular science animated video. Comparing the features of translation
in dubbing and subtitling and ensuring adequate perception of the semantic information of a popular science video have become key methods of work within the framework of the above-mentioned goal. The article examines the features and main difficulties faced by audiovisual translators, and compares the translation transformations encountered in subtitling and dubbing. An empirical study of the transcript of the video in English and its translations into Russian allowed us to identify the most frequent types of transfor-mations that ensure adequate perception of semantic information by the viewer. The scientific novelty
of the study lies in the fact that for the first time the most frequently used translation transformations in-herent in dubbing and subtitling are revealed, and the differences between subtitling and dubbing as methods of translating popular science videos are presented. As a result of the research, the main tech-niques and methods of translation are highlighted, which contribute to ensuring an adequate perception of the semantic information of a popular science video.
Explanatory function of titles in educational discourse (by the material of English textbooks on economic law)
Authors: Isaeva Olga Nikolaevna , Krivchenko Irina Borisovna
Published: July 2024

The purpose of the study is to identify the mechanisms of implementation of the explanatory function of titles. The article examines the changes taking place in the use of punctuation marks in connection with the expansion of their functionality, systematizes the logical connections that arise between the two parts of titles separated by a colon. The authors found that in textbooks on economic law, titles consisting of two components separated by a colon have a high explanatory potential. The scientific novelty of the study lies in the fact that the explanation mechanisms involved in the titles are described for the first time using the material of the English-language educational discourse. As a result of the study, it was revealed that the most common title models in textbooks on economic law are as followers: the first part contains the actual name of the thematic block, and the second part indicates the section being paid attention to, and the material of official document or court case. The explanatory function of the title becomes the leading one in educational discourse, which implies the frequent appearance of titles containing clarification in the second part following the colon.
The structure of the semantic space of verbal vocabulary in R. Bradbury’s novel “Fahrenheit 451” (based on the material of the novel in English)
Authors: Zhdanova Yulia Vadimovna
Published: July 2024

The analysis of the verbal semantics of works, in particular their semantic spaces, is currently the subject of a large number of scientific papers. The purpose of this study is to represent the space of semantic features of verbal units in R. Bradbury’s novel “Fahrenheit 451”. The article examines the features of verbal semantics and semantic classification of verbs, the concept of the semantic space of verbal vocabulary and the parameters of its research, the introduction of quantitative methods for studying massive linguistic data, such as methods of correlation and cluster analysis of linguistic data. The scientific novelty of the study is to identify relevant features of the space of verbal vocabulary by synthesizing correlation and cluster analyses, taking into account frequency-relevant features based on frequency data analysis. As a result, frequency-relevant (integrally marked, integrally unmarked and differentially marked) signs of the verbal semantic space were identified, which are of practical importance for the study of the verbal vocabulary of the novel “Fahrenheit 451”.
Features of transformations of the Chilean toponymicon at the present stage
Authors: Fediukina Elena Sergeevna
Published: July 2024

The aim of this study is to reveal the modern processes of transformation of the insufficiently studied toponymy of Chile. The article highlights the main features of these transformations, including renaming of hodonyms, agoronyms and other place names. The scientific novelty of the study lies in the fact that for the first time a linguocultural analysis of Chilean neotoponyms has been carried out, which allowed us to identify the current trends characteristic of the national toponymic policy carried out over the last 10 years. The article considers street renaming as a process of creating new linguoconcepts of the urban environment reflecting cultural and historical changes in society. The study finds that hodonyms show a pronounced anthropocentricity, as they are often dedicated to famous personalities whose names and deeds are significant to national history and culture. The study of toponymic identity helps to analyze the extent to which new names are accepted by local residents. Understanding how residents perceive these changes, and how their willing of accepting new names is important in shaping successful language policies.
The techniques of language play in the ergonyms of the Samara region from the point of view of the pragmatics of the auxiliary parts of speech
Authors: Khokhlova Anna Alekseevna
Published: July 2024

The purpose of the study is to reveal the features of the language game in the ergonyms of the Samara region with the participation of auxiliary parts of speech. Considerable attention is paid to determining the frequency of language game techniques. In addition, the author analyzes the process of secondary nomination in the language game of Samara ergonymy. The article examines prepositions, particles, interjections and conjunctions in the ergonyms of the Samara region and analyzes the techniques involved in the language game according to the method and frequency of use. The author gives examples of the complex use of language game techniques. The scientific novelty lies in the classification of language game techniques involving official parts of speech as part of ergonyms, as well as in the study of the pragmatic potential of language game in cases of complex use of language game techniques. Auxiliary parts of speech, such as prepositions, conjunctions, and particles, can play a crucial role in ensuring the effect of the game, changing or amplifying the meanings of other words to create unexpected or humorous meanings in the context of a language game. A thorough analysis of how the auxiliary parts of speech can contribute to the creative use of language is a new approach. For the first time, statistics on the use of auxiliary parts of speech in various techniques and in ergonyms were given. As a result of the study, 23 techniques in ergonyms containing auxiliary parts of speech were identified and described. Statistical data on the frequency of language game techniques in ergonyms at the level of pragmatics are presented separately by prepositions, particles, interjections and conjunctions.
The role of strategic online engagement and content curation in professional branding and career advancement on social media platforms
Authors: Ustin Pavel N. , Udina Natalia N. , Grib Elena V. , Budkevich Roza L. , Korzhuev Andrey V. , Kosarenko Nikolay N.
Published: July 2024

This study investigates role of social media user engagement metrics in predicting career success likelihoods using supervised machine learning techniques. With platforms like LinkedIn and VKontakte becoming pivotal for networking and advancement, user statistics have emerged as potential indicators of professional capability. However, research questions metric reliability considering impression management tactics and biases. While prior studies examined limited activity features, this analysis adopts a robust CatBoost model to gauge career success prediction from multifaceted social data combinations. The study utilizes user profiles of over 17,000 on a major Russian platform. Individuals are categorized by an algorithm accounting for factors like salaries, experience, and employment status. User statistics spanning engagement, content sharing, popularity, and profile completeness provide model inputs. Following comparative evaluation, CatBoost achieved superior performance in classification accuracy, precision, recall and ROC AUC score. Analysis of SHapley Additive exPlanations values provides explanatory modeling insights into influential metrics, thresholds, and patterns. Results reveal subscribers, reposts and interest pages as highly impactful, suggesting that influence and content resonance predict success better than sheer visibility indicators like multimedia volumes. Findings also point to optimal engagement ranges beyond which career prediction gains diminish. Additionally, profile completeness and regular posting are positive to a limit, while likes to have negligible effects. The study contributes more holistic, data-driven visibility into effective social media conduct for career advancement. It advocates prioritizing network cultivation, tactical self-presentation, shareable narratives and reciprocal relationships over metrics gaming. Findings largely validate strategic communication theory around impression management and relationship-building.
Meat quality and biotest safety assessment for poultry with tumor diseases
Authors: Kozak Sergey S. ,   All-Russian Scientific Research Institute of Poultry Processing Industry” — the branch of FSC ARRTPI (ARSRIPPI), Moscow region, Russia, Nikolaeva Yekaterina M. ,   All-Russian Scientific Research Institute of Poultry Processing Industry” — the branch of FSC ARRTPI (ARSRIPPI), Moscow region, Russia
Published: July 2024

The investigation results show that meat of poultry with tumor diseases has lower nutritional value in comparison with healthy poultry meat and has lower biological value and safety. This meat consumption can have negative impact on human. It must be considered when poultry with these diseases processing and assessment. In connection with possible such meat contamination with coli bacteria or salmonella the decision on this meat usage must be made according to Veterinary animal slaughter rules and Veterinary rules of meat and slaughtering products usage and veterinary sanitary inspection for animals intended for processing and (or) realization.
Comparative characteristics of immune-enzymatic systems for post vaccinal antibodies determination to three infection diseases
Authors: Samsonova Zhanna V. ,   FSBEI HE “Lomonosov Moscow State University” (FSBEI HE Lomonosov MSU), Moscow, Russia, Saushkin Nikolay Yu. , Osipov Alexander P. , Ruzina Anna V. , Frolov Alexey V. , Rozhdestvenskaya Tatyana N. ,   FSBEI HE “Lomonosov Moscow State University” (FSBEI HE Lomonosov MSU), Moscow, Russia,   FSBEI HE “Lomonosov Moscow State University” (FSBEI HE Lomonosov MSU), Moscow, Russia,   FSBSI “Federal Scientific Center — All-Russian Scientific Research Institute of Experimental Veterinary Medicine named after K.I. Scriabin and J.R. Kovalenko” of the RAS (FSBSI FSC VIEW RAS), Moscow, Russia,   FSBSI “Federal Scientific Center — All-Russian Scientific Research Institute of Experimental Veterinary Medicine named after K.I. Scriabin and J.R. Kovalenko” of the RAS (FSBSI FSC VIEW RAS), Moscow, Russia,   FSBSI “Federal Scientific Center — All-Russian Scientific Research Institute of Experimental Veterinary Medicine named after K.I. Scriabin and J.R. Kovalenko” of the RAS (FSBSI FSC VIEW RAS), Moscow, Russia
Published: July 2024

Comparative investigation has been carried out of three immune-enzymatic systems from three producers for detection of post vaccinal antibodies to chicken infection bronchitis viruses, infection bursitis and Newcastle disease viruses. Parallel testing has been carried out for liquid blood serum samples and dry whole blood samples at membrane carrier. High results convergence has been received in dry and liquid parallel measuring for all test systems. The results correlation coefficients for antibodies determination to three diseases in “dry sample – liquid sample” system have been 0.88 to 0.92 for IDEXX set (USA); 0.76 to 0.8 for OOO “CVO” set (Russia) and 0.69 to 0.81 for FSBSI “FCAHP” set. Long- term stability of dry blood samples (5 years) has been proved at the example of antibodies determination to IBD and IВ.
Geese assessement criteria by meat body shapes
Authors: Roiter Yakov S. ,   FSBSI “Federal Scientific Center “All-Russian Research and Technological Poultry Institute” (FSC ARRTPI), Moscow region, Russia, Solovyov Victor Yu. ,   FSBSI “Federal Scientific Center “All-Russian Research and Technological Poultry Institute” (FSC ARRTPI), Moscow region, Russia
Published: July 2024

The study has been carried out in “Vurnarets” LRS with Mackulinsky geese cross in 2021 to 2023 years. The study task has been introduction practicability of lifetime complex appraisal of breast, legs and back muscles development in geese selection program. Poultry selection in accordance with this method effect has been analyzed on geese production and reproduction traits. The study has been shown that during 3 generations of geese selection according to this method the tendency has been noted to body weight gaining rate increasing, reproduction traits improvement and poultry livability. Body weight yield per layer has increased by 7.8 kg or 9.5%. Total muscle yield in final Makulinsky cross has increased by 1.2% during study period.
Chitosan complex usage efficiency when broiler growing in conditions of high stocking density
Authors: Buyarov Viktor S. ,   FSBEI HE “Orel State Agrarian University named after N.V. Parakhin” (FSBEI HE Orel SAU), Orel, Russia, Komolikova Irina V. , Buyarov Alexander V. , Mednova Valentina V. ,   FSBEI HE “Orel State Agrarian University named after N.V. Parakhin” (FSBEI HE Orel SAU), Orel, Russia,   FSBEI HE “Orel State Agrarian University named after N.V. Parakhin” (FSBEI HE Orel SAU), Orel, Russia,   FSBEI HE “Orel State Agrarian University named after N.V. Parakhin” (FSBEI HE Orel SAU), Orel, Russia
Published: July 2024

The investigations have shown that chitosan complex usage in feed 70 g/t has positive impact on broiler production, livability and physiological status when broiler floor growing in high stocking density conditions that is 23.5 broilers per m2. Chitosan complex promoted simbiotiс intestine microflora growth and feed costs lowering per 1 kg of poultry body weight gain, meat yield increasing per poultry house useful area unit and producing economic efficiency increasing.
The Effect Of Video Education On Social Stigma in People With Mental Disorders in Tinalan Village Kediri City
Authors: Kurnia Sari Dhita , Yunita Frida Haubenu  , Reni Nurhidayah
Published: July 2024

Mental health was still a significant health problem in the world, included in Indonesia. This negative label as a crazy person is unconsciously a self-created stigma, so the impact was that families or the community around people with mental disorders don't want to take care of it so that if allowed to continue, the rights of people with mental disorders will be neglected, for example social rights and the right to treatment. The purpose of this study was to determine the effect of video education on social stigma in people with mental disorders. The research design was a one group pre-test-posttest pre-experimental design. The independent variable is video education while the dependent variable is society's stigma towards people with mental disorders. The population is the entire community in RT: 01 RW: 13 in Kediri Tinalan Village, Kediri City, a sample of 43 respondents using a purposive sampling technique. Data collection techniques using a questionnaire.The results showed that before being given treatment, most respondents (65.1%) had a high stigma towards people with mental disorders, namely 28 respondents and after being given treatment, almost all respondents (93.0%) had a low stigma.  Data analysis used the Wilcoxon test with sig value (2-tailed) or pvalue = 0.000 and error rate or = 0.05, so p <, 0.000 <0.05 so H1 is accepted, meaning that there is an effect of video education on social stigma in people with mental disorders souls in the Tinalan Village, Kediri City. It is hoped that the community can add insight and information about stigma on ODGJ so that they can show good attitudes and behavior towards ODGJ.
A hybrid genetic algorithm for the steiner tree problem in graphs towards optimizations for wireless sensor networks
Authors: Le Tang Phu Quy , Sy Bao Nhan Ho , Hoang Tan Phu Quoc , Huynh Cong Phap , Dang Dai Tho
Published: July 2024

The Steiner tree problem in graphs (SPG) is one of the most studied problems in combinatorial optimization because of its theories and applications. It is one of the foundations to develop a Wireless Sensor Network (WSNs), such as multicast and topology design. SPG is an NP-Hard problem, and many heuristic and approximation algorithms have been proposed. Thus, this study proposes a Hybrid Genetic algorithm (HGA) to solve SPG. This study is the binary string representation for a set of chosen edges. To increase the diversity of the population and avoid falling into local optimization, we use a 2-longest Distance strategy, dynamic crossover rate, and chosen solutions must differ by at least 5%. The experiment results show that the HGA algorithm's running time equals 153.83% of the GA algorithm's, the deviation found by HGA, and the optimal distance only equals 65% that of GA.
Experimental Investigations on the Drilling Performance of Carbon Nanotubes Reinforced Glass/Epoxy Multi-scale Composites
Authors: Koyunbakan Murat , Eskizeybek Volkan , Ünüvar Ali , Avcı Ahmet
Published: July 2024

By adding carbon nanotubes to fiber-reinforced composites, materials engineers can increase the composite's mechanical performance and add additional functional properties. At the same time, this strategy increases the costs of such new-generation composites. Fiber-reinforced laminates are susceptible to damage during machining, which may cause high-cost wastes. Therefore, the machinability of new-generation multi-scale composites with minimum damage becomes a vital processing issue to prevent high-cost waste. This work investigates the effects of carbon nanotubes (CNTs) on the drilling performance and hole quality of glass/epoxy multi-scale composites. For this, CNTs added glass/epoxy composite laminates were drilled with high-speed steel drills under dry conditions. Cutting speed and feed rate were parametrically optimized, considering the deformation factor, delamination, and thrust force. The change in thrust force was recorded in situ, and deformation factors were calculated using image processing techniques. Moreover, the damage assessment of drilled holes was carried out with scanning electron microscope analysis to reveal the drilling-induced micro-scale damages. The addition of CNTs within the epoxy matrix increased thrust forces; however, lower delamination failures around exit sides were observed for multi-scale composites. Taguchi method and analysis of variance were utilized to explore the contributions of drilling parameters and material type on the thrust force and deformation factor. Feed rate and material type were major factors affecting the deformation factor.
Enhanced Histopathological Image Classification through the fusion of Thepade Sorted Block Truncation Code and Otsu Binarization features
Authors: Acharya Ashwin , Thepade Sudeep
Published: July 2024

Histopathology is the branch of pathology that investigates the structure of cells and tissues of organisms at a microscopic level. Histopathological images are crucial in the decision-making process for effective therapies, determining the health of a particular biological structure and identifying diseases like cancer. With machine learning models, it may be feasible to increase the accuracy of medical data, decrease patient rate variations, and cut costs associated with medical care. Most medical scientists are drawn to such new technologies of predictive models in chronic disease forecasting. A novel approach for more accurate classification of histopathological images is proposed in this paper. The technique involves fusing the features extracted from two methods, namely Otsu's binarization and Thepade Sorted Block Truncation Code, to achieve improved results. The KIMIA Path960 dataset comprising 960 images is utilized for experimental validation with performance indicators like accuracy, specificity, and sensitivity. Ensembles of Simple Logistics, Multilayer Perceptron, Logistics Model Tree, as well as Simple Logistics, Random Forest, and Logistic Model Tree classifiers, demonstrated superior performance for the fusion of Thepade Sorted Block Truncation Code 7-ary and Otsu features, achieving an accuracy of 97.39 percent in a 10-fold cross-validation scenario.
Synthesis and Characterization of Carbon Papers
Authors: Yanilmaz Yakup Kaan
Published: July 2024

Porous carbons are promising for wide range of applications from sensors to CO2 capturing. This work aims to report a facile approach to synthesize porous carbons by using cheap and sustainable materials. Porous carbons are also treated to tune the chemical and physical structure. SEM images, FTIR spectra, Raman spectra and XRD patterns are examined to characterize the porous carbons. The treated carbon fibers showed highly disordered structure with a large interlayer spacing. Results show that porous carbons could be applicable for different applications
IoT-based Cyber-Physical System for Parkinson Inmates Using ML Prediction Algorithms
Authors: Karuppanan Sakthısudhan , Pamungkas Wahyu , Isnawati Anggunfitrian , Umar Ali Ahmad Umar Ali Ahmad , S Mohanraj , Reza Rendian Septiawan
Published: July 2024

Most people in the eternal world we reawaken to are stressed and wrecked with diseases because of genetic, environmental, and emotional causes. There are many incurable diseases, but there are also ways to treat them that are hopeful and even life-extending. As a result, it is hypothesized that the prototype will limit the capacities of people with Parkinson's disease. It's a disease that causes degeneration in the brain and spinal cord. The most noticeable signs are trembling, stiffness, slowness of movement, and difficulty walking. Depression and anxiety are symptoms of dementia, a form of brain condition that worsens as a result of this disease. It also makes it hard to get to sleep at night. For some illnesses, we lack the diagnostic instrument necessary to determine the precise status of many conditions. Wearable sensors can diagnose Parkinson's disease (PD) in its earliest stages, when treatment is most effective. Brain wave detection and other forms of human chronicle are detected with effective sensors in the proposed system for Parkinson disease, demonstrating the improvement of the patient's central nervous system. Here, we use machine learning with a prediction algorithm to keep a close eye on the patient's progress and store the data in the cloud automatically so that we can reliably get an analysis of the patient's performance at any time. For better classification results, we create a prediction system based on the fuzzy k-nearest neighbor (FKNN). The suggested system may monitor patients in more ways than just by measuring vitals like heart rate, blood pressure, and temperature.
A apreensão de adolescentes autores de atos infracionais enquanto análise da atuação policial: uma investigação no Município de São Paulo (MSP)
Authors: Damião Artur
Published: July 2024

This paper aims to analyze police performance in relation to the apprehension of adolescent offenders in the Municipality of São Paulo (MSP) for the year 2022, through the territorial distribution of apprehensions. For this purpose, secondary data made available by the Secretariat of Public Security of the State of São Paulo were analyzed regarding police productivity, in the nature of "offenders apprehended in flagrante" and "offenders apprehended per warrant", per 100 thousand inhabitants. The numbers were analyzed by the population rate in order to allow the comparison between places with different population sizes of each Police District (PD) and to neutralize the population growth, allowing comparison in the medium and long term. From the georeferencing of the PDs, our spatial analysis unit, provided by the Center for Metropolitan Studies, it was found that the highest number of apprehensions takes place in the outskirts of the MSP, especially in the South and East Zones, being one of the regions with a higher level of impoverishment of the population, with less infrastructure and a higher homicide rate, it is also the region where the highest number of apprehended offenders is found. More popular parts of the city center also presented high rates of apprehension, such as the Bom Retiro PD.
Enhancing Latent Diffusion in Large Language Models for High-Quality Implicit Neural Representations with Reduced Hallucinations
Authors: Wang Chenyu , Zhao Yulin , Liu Yan , Zhu Han
Published: July 2024

Large language models have achieved significant milestones in natural language processing, demonstrating remarkable capabilities in generating coherent and contextually relevant text. However, the persistent challenge of hallucinations, where models produce plausible yet incorrect or nonsensical information, limits their reliability and practical utility. The modifications made to the Mistal Large model, including the enhancement of latent diffusion processes, the integration of advanced attention mechanisms, and the introduction of hierarchical processing layers, significantly improved the model's performance. Key metrics such as perplexity, coherence, contextual relevance, and hallucination rate were systematically evaluated, revealing substantial advancements in predictive accuracy, logical consistency, and contextual appropriateness. The research highlights the importance of architectural refinements and optimization techniques in mitigating hallucinations and enhancing the overall quality of implicit neural representations. These findings contribute valuable insights to the field of natural language processing, paving the way for the development of more reliable and effective language models through continuous refinement and innovative methodologies.
Sound Notional Machines
Authors: Moreno Santos Igor , Hauswirth Matthias , Jeuring Johan
Published: July 2024

A notional machine is a pedagogical device that abstracts away details of the semantics of a programming language to focus on some aspects of interest. A notional machine should be sound: it should be consistent with the corresponding programming language, and it should be a proper abstraction. This reduces the risk of it introducing misconceptions in education. Despite being widely used in computer science education, notional machines are usually not evaluated with respect to their soundness. To address this problem, we first introduce a formal definition of soundness for notional machines. The definition is based on the construction of a commutative diagram that relates the notional machine with the aspect of the programming language under its focus. Derived from this formalism, we present a methodology for constructing sound notional machines, which we demonstrate by applying it to a series of small case studies. We also show how the same formalism can be used to analyze existing notional machines and find inconsistencies in them as well as propose solutions to these inconsistencies. The work establishes a firmer ground for research in notional machines by serving as a framework to reason about them.
Unraveling the crop yield response under shading conditions through the deployment of a drought index
Authors: Tekie Sultan , Zainali Sebastian , Zidane Tekai Eddine Khalil , Ma Lu Silvia , Guezgouz Mohammed , Zhang Jie , Amaducci Stefano , Campana Pietro
Published: July 2024

Extensive research has explored the impact of shading on vegetation growth and crop yield under agrivoltaic (APV) systems. These studies have revealed a notable connection between shading and crop yields, with certain crop varieties showing benefits from shadings e.g., Berries and Leafy Vegetables, Forage remaining largely unaffected, and some crops e.g., Cereals, Grain Legumes, Fruits, and Root crops experiencing reduced yields when subjected to shaded conditions. Previous studies often overlooked environmental factors such as temperature, evapotranspiration, and precipitation when assessing shading effects on crop yield, making it difficult to fully understand their impact on crop performance. This study seeks to address this research gap by integrating a drought index, known as the Standardized Precipitation Evapotranspiration Index (SPEI), into existing improved meta-analysis on shade and crop yield across various crops. The SPEI implicitly includes information concerning temperature, potential evapotranspiration, and precipitation, and it is easily retrievable globally and at a reasonable temporal resolution. Multiple linear regression (MLR) techniques are used to analyse different crop categories. The MLRresults with and without incorporating SPEI are compared to assess the shading influence on determining crop yield amidst varying environmental conditions. Including SPEI resulted in improved performance metrics across all crop categories. For example, the least improvement was observed in Fruit with a 17.1% increase in R², while the most significant improvement was seen in Maize with a 62.8% increase in R². Moreover, the analysis revealed that in over half of the crop categories, the SPEI statistics exhibited greater significance compared to the shading level parameter. Consequently, this study concludes that considering environmental factors implicitly included in SPEI alongside the shading level offers a more comprehensive understanding of crop yield dynamics under APV systems.