bluuebunny/crossref_metadata_2025 huggingface dataset:
KANDUNGAN NILAI-NILAI KARAKTER KEWARGAAN DALAM NOVEL PULANG KARYA DARWIS TERE LIYE
Authors: Azizah Deviana Fadhillatie , Marzuki Marzuki
Published: September 2022

Karya sastra menjadi media pengungkapan pikiran-pikiran pengarang dengan nilai-nilai yang terkandung di dalamnya, sehingga dapat memberikan manfaat bagi para pembacanya. Pembaca diharapkan dapat menemukan dan mengambil nilai-nilai tersebut dalam karakter (watak) tokoh di dalamnya. Penelitian ini bertujuan untuk mengungkapkan nilai-nilai karakter kewargaan yang terkandung di dalam novel Pulang karya Darwis Tere Liye. Penelitian ini merupakan penelitian analisis isi dengan pendekatan kualitatif. Teknik pengumpulan data menggunakan teknik pembacaan dan pencatatan. Validitas yang dipergunakan ialah validitas semantik. Hasil penelitian ini yaitu: (1) Wujud nilai-nilai karakter kewargaan yang terdapat dalam novel Pulang meliputi karakter-karakter religius, jujur, toleransi, disiplin, kerja keras, kreatif, mandiri, demokratis, rasa ingin tahu, semangat kebangsaan, cinta tanah air, menghargai prestasi, bersahabat/komunikatif, cinta damai, senang membaca, peduli sosial, dan tanggung jawab; (2) Wujud nilai karakter kewargaan yang terdapat dalam tokoh utama dalam novel Pulang meliputi karakter-karakter religius, jujur, toleransi, disiplin, kerja keras, kreatif, mandiri, demokratis, rasa ingin tahu, menghargai prestasi, bersahabat/komunikatif, cinta damai, senang membaca, peduli sosial, dan tanggung jawab. Kata Kunci: Nilai-nilai karakter, novel Pulang, karakter kewargaan.  CONTENT OF THE VALUE OF CITIZENSHIP CHARACTER  IN NOVEL PULANG BY DARWIS TERE LIYE  Abstract Literary work becomes a media for expressing the thoughts of the author with the values contained in it, so that it can provide benefits to its readers. The reader is expected to find and take these values in the character of the characters in the literary work. This research aims to reveal the values of the character of citizenship contained in the novel Pulang Darwis Tere Liye's work. This research is a content analysis research with qualitative approach. Techniques of data collection using reading and recording techniques. The validity used is semantic validity. The results of this study are: (1). The values of the civic characters in the novel Pulang include religious, honest, tolerance, discipline, hard work, creative, independent, democratic, curiosity, spirit of nationality, appreciate achievement, friendly/communicative, peace loving, reading pleasure, social care, and responsibility; (2) The values of civic characters in the main actor in novel Pulang are religious, honest, tolerance, discipline, hard work, creative, independent, democratic, curiosity, appreciative, communicative, peace loving, reading pleasure, social care, and responsibility. Keywords: Character values, novel Pulang, civic character.
THE IMPLEMENTATION OF CHARACTER EDUCATION AT MTs NUR IMAN MLANGI, PONDOK PESANTREN AL-HUDA, SLEMAN REGENCY, YOGYAKARTA
Authors: Berliani Yusti Marlia , Sudrajat Ajat
Published: September 2022

Abstrak: Penelitian ini bertujuan untuk mendeskripsikan implementasi pendidikan karakter di sekolah berbasis pondok pesantren. Penelitian ini merupakan penelitian kualitatif dengan mengambil setting di MTs Nur Iman Mlangi yang ada di lingkungan  Pondok Pesantren Al-Huda di Kabupaten Sleman Yogyakarta. Yang menjadi subjek penelitian yaitu kepala sekolah, wakil kepala sekolah guru bimbingan konseling, guru IPS, dan siswa di MTs Mlangi. Pengumpulan data dengan teknik wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa nilai-nilai karakter yang diimplementasikan di MTs Mlangi yaitu religius, nasionalis, mandiri, gotong royong, dan integritas. Pengintegrasian pendidikan karakter di MTs Mlangi dilakukan melalui pengintegrasian pendidikan karakter dalam pembelajaran, pengintegrasian pendidikan karakter melalui program pengembangan diri, dan pengintegrasian pendidikan karakter melalui budaya sekolah. Di antara faktor pendukung implementasi pendidikan karakter di MTs Mlangi yaitu guru profesional dan sarana prasarana yang memadai, sedang  faktor penghambatnya yaitu lingkungan sekolah yang kurang mendukung. Kata Kunci: implementasi, pendidikan karakter, Madrasah Tsanawiyah. THE IMPLEMENTATION OF CHARACTER EDUCATION AT MTs NUR IMAN MLANGI AT AL-HUDA ISLAMIC BOARDING SCHOOL AT SLEMAN REGENCY YOGYAKARTA Abstract: This study aims to describe the implementation of character education in Islamic boarding school-based school. This research is a qualitative research by taking the setting in MTs Nur Iman Mlangi in the Al-Huda Islamic Boarding School in Sleman Regency, Yogyakarta. The subjects of the study were the headmaster, the vice headmaster, the teacher of guidance and counseling subjects, the teacher of social studies subject, and students at MTs Mlangi. The data were collected with interview, observation and documentation techniques. The results showed that the character values implemented in MTs Mlangi were religious, nationalist, independent, mutual cooperation, and integrity. Implementation of integrating character education in MTs Mlangi is done through the integration of character education in learning, integration of character education through self-development programs, and integration of character education through school culture. Among the factors supporting the implementation of character education in MTs Mlangi were professional teachers and adequate infrastructure, while the inhibiting factors were the school environment that was less supportive. Keywords: implementation, character education, Madrasah Tsanawiyah.
PENINGKATAN CIVIC SKILLS DAN CIVIC EMPATHY MAHASISWA MELALUI CITIZEN JOURNALISM PROJECT
Authors: Prasetiyo Wibowo Heru
Published: September 2022

Abstrak: Penelitian ini bertujuan menginvestigasi dampak penggunaan model pembelajaran citizen journalism kepada mahasiswa untuk mengembangkan civic skills dan civic empathy sebagai upaya penguatan pendidikan karakter bagi para mahasiswa. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian tindakan kelas menggunakan model dari Bachman. Informan dalam penelitian ini yaitu mahasiswa di Departemen Pendidikan Kewarganegaraan, Universitas Muhammadiyah Surakarta. Hasil penelitian menunjukkan bahwa para mahasiswa telah memiliki perangkat keterampilan dan empati sebagai bagian dari civic competencies yang membentuk karakter dan moralitas publik mereka. Melalui model pembelajaran citizen journalism, kedua kompetensi tersebut diperkuat dan tampak lebih jelas dengan pola pembelajaran berbuat dan penyelesaian masalah melalui penyelesaian proyek. Selain itu, hasil analisis menunjukkan bahwa model citizen journalism mampu mengembangkan sikap-sikap demokratis mahasiswa seperti keterbukaan, berpikir kritis, toleran, dan bertanggung jawab.Kata kunci: keterampilan kewarganegaraan, empati, jurnalisme warga negara. IMPROVING CIVIC SKILLS AND CIVIC EMPATHY OF STUDENTS THROUGH CITIZEN JOURNALISM PROJECTAbstract: This research aims to investigate the impact of citizen journalism as learning model for students to develop their civic skills and civic empathy as an effort to strengthen character education for students. This study used a qualitative approach with classroom action research model by Bachman. The informants of this research are students in Civic Education Department, Universitas Muhammadiyah Surakarta. The results shows that the students had had skills and empathy as part of civic competencies for shaping their character and public morality. Through the citizen journalism learning model, both of these competencies are strengthened and appear more clearly with the learning patterns of doing and solving the problems through project completion. In addition, the results of the analysis show that the citizen journalism model is able to develop democratic attitudes of students such as open-minded, critical thinking, tolerance, and responsibility. Keywords: civic skills, empathy, citizen journalism.
ANALISIS MUATAN NILAI KARAKTER PADA BUKU AJAR KURIKULUM 2013 PEGANGAN GURU DAN SISWA SEKOLAH DASAR
Authors: Rahayuningtyas Dian Ikawati , Mustadi Ali
Published: September 2022

Abstrak: Penelitian ini bertujuan untuk menganalisis: 1) nilai-nilai karakter pada buku pegangan guru, 2) nilai-nilai karakter pada buku pegangan siswa, 3) kesesuaian nilai-nilai karakter pada buku ajar Kurikulum 2013 pegangan guru dan buku pegangan siswa. Penelitian ini merupakan penelitian analisis konten. Subjek data yaitu buku ajar kurikulum 2013 pegangan guru dan pegangan siswa kelas V semester 1 yang terdiri atas lima tema yaitu tema benda-benda di lingkungan sekitar, peristiwa dalam kehidupan, kerukunan dalam bermasyarakat, sehat itu penting, dan bangga sebagai bangsa Indonesia. Unit analisisnya nilai-nilai karakter yang terkandung dalam buku ajar. Hasil penelitian yaitu: 1) buku pegangan guru mengembangkan semua nilai karakter yang dianalisis; 2) buku pegangan siswa pada tema benda-benda di lingkungan sekitar, tema kerukunan dalam bermasyarakat, dan tema bangga sebagai bangsa Indonesia tidak mengembangkan nilai karakter jujur. Nilai karakter percaya diri muncul dengan frekuesi terbanyak pada buku pegangan guru maupun pada buku pegangan siswa. Nilai karakter jujur muncul dengan frekuensi paling sedikit pada buku pegangan guru dan buku pegangan siswa; 3) nilai karakter pada buku pegangan guru dan pegangan siswa pada tema benda-benda di lingkungan sekitar, tema peristiwa dalam kehidupan, dan tema sehat itu penting telah sesuai. Kata kunci: nilai-nilai karakter, buku ajar kurikulum 2013, sekolah dasar. AN ANALYSIS OF CONTENT OF CHARACTER VALUES IN THE TEXTBOOK OF 2013 CURRICULUM FOR HANDBOOKS OF TEACHER AND STUDENT IN ELEMENTARY SCHOOL Abstract: This research aims to analyze (1) the character value in teacher handbook content, (2) the character value in student handbook content, (3) the suitability of the character value in course-bookcurriculum 2013 teacher handbook and student handbook. This research was a content analysis. The data soucse used in this study was course-book of curriculum 2013 teacher handbook and student handbook of the grade V of elementary school in the first semester includes five themes: namely objects in the surrounding environmet, events in life, harmony in society, healthy is important, and pround as a nation of Indonesia. The unit analysis of this research was the character contained in the course-book. The result of this study are: 1) Teacher handbooks within each theme have been developing all the character values, namely religious, honest, discipline, responsible, polite, care, confidence, and love of the country; 2) Student handbooks in surrounding environmet theme, harmony in society, and pround as a nation of Indonesia did not develop the values of honesty; 3) Character value in teacher handbooks and students hanbooks on surrounding environmet theme, events in life theme, and healthy are important theme that have been appropriate. Keyword: character values, textbook of curriculum 2013, elementary school
Studi Analisis Model Implementasi Pendidikan Karakter Di Pondok Pesantren Al-Inayah
Authors: Islamy Mohammad Rindu Fajar
Published: September 2022

Dunia pendidikan dewasa ini menghadapi beragam problematika baru yang semakin berkembang, hal ini tentunya menjadi tantangan bagi para pakar pendidikan maupun pegiat pendidikan untuk menemukan pola pendidikan karakter yang unggul. Artikel ini bertujuan untuk menggali implementasi pendidikan karakter sebagai satu upaya pencegahan terhadap disrupsi moralitas para pelajar. Penanaman nilai-nilai spiritualitas yang selaras dengan ajaran agama Islam sangat fundamental dalam membangun akhlak dan peradaban suatu bangsa. Dengan menggunakan metode kualitatif, studi difokuskan di Pondok Pesantren Al-Inayah dengan menggali data-data yang diperlukan melalui Teknik wawancara, obsertasi, dan analisis interaktif. kajian menunjukan bahwa keberhasilan kegiatan pendidikan dalam membangun akhlak harus terintegrasi dari beberapa komponen esensial yaitu kurikulum, metode penyampaian, serta penguatan program aktivitas pembelajaran dalam penguatan karakter islami.
THE EFFECT OF ONLINE LEARNING ON STRENGTHENING CHARACTER EDUCATION OF INTEGRATED ISLAMIC ELEMENTARY SCHOOL STUDENTS
Authors: Pariyatin Yeni
Published: September 2022

The coronavirus disease pandemic has an impact on various fields of life, including education. The Integrated Islamic Elementary School in Garut Regency is one of the affected schools so that the teaching and learning process is carried out online. During online learning, schools continue to apply character values in all their activities as an effort to instill character education strengthening in students. This study aims to analyze the influence of online learning on strengthening the character education of integrated Islamic elementary school students. This type of research is descriptive with a quantitative approach. The sample used came from students in grades I-VI from two Integrated Islamic Elementary Schools in Garut Regency totaling 90 respondents. Collecting data using observation, literature study, interviews, and questionnaires. The research instrument used a Likert scale. Hypothesis test is used through t test, f test, and determinant coefficient or R Square. The results showed that there was a positive and significant influence partially online learning on strengthening the character education of integrated Islamic elementary school students. Simultaneously online learning has a significant effect on strengthening the character education of integrated Islamic elementary school students.
Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study
Authors: Di Shuang , Petch Jeremy , Gerstein Hertzel C , Zhu Ruoqing , Sherifali Diana
Published: September 2022

Background

Health coaching is an emerging intervention that has been shown to improve clinical and patient-relevant outcomes for type 2 diabetes. Advances in artificial intelligence may provide an avenue for developing a more personalized, adaptive, and cost-effective approach to diabetes health coaching.

Objective

We aim to apply Q-learning, a widely used reinforcement learning algorithm, to a diabetes health-coaching data set to develop a model for recommending an optimal coaching intervention at each decision point that is tailored to a patient’s accumulated history.

Methods

In this pilot study, we fit a two-stage reinforcement learning model on 177 patients from the intervention arm of a community-based randomized controlled trial conducted in Canada. The policy produced by the reinforcement learning model can recommend a coaching intervention at each decision point that is tailored to a patient’s accumulated history and is expected to maximize the composite clinical outcome of hemoglobin A1c reduction and quality of life improvement (normalized to [ ​0, 1 ​], with a higher score being better). Our data, models, and source code are publicly available.

Results

Among the 177 patients, the coaching intervention recommended by our policy mirrored the observed diabetes health coach’s interventions in 17.5% (n=31) of the patients in stage 1 and 14.1% (n=25) of the patients in stage 2. Where there was agreement in both stages, the average cumulative composite outcome (0.839, 95% CI 0.460-1.220) was better than those for whom the optimal policy agreed with the diabetes health coach in only one stage (0.791, 95% CI 0.747-0.836) or differed in both stages (0.755, 95% CI 0.728-0.781). Additionally, the average cumulative composite outcome predicted for the policy’s recommendations was significantly better than that of the observed diabetes health coach’s recommendations (tn-1=10.040; P<.001).

Conclusions

Applying reinforcement learning to diabetes health coaching could allow for both the automation of health coaching and an improvement in health outcomes produced by this type of intervention.
An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis
Authors: Yu Deahan , Vydiswaran V G Vinod
Published: September 2022

Background

Adverse reactions to drugs attract significant concern in both clinical practice and public health monitoring. Multiple measures have been put into place to increase postmarketing surveillance of the adverse effects of drugs and to improve drug safety. These measures include implementing spontaneous reporting systems and developing automated natural language processing systems based on data from electronic health records and social media to collect evidence of adverse drug events that can be further investigated as possible adverse reactions.

Objective

While using social media for collecting evidence of adverse drug events has potential, it is not clear whether social media are a reliable source for this information. Our work aims to (1) develop natural language processing approaches to identify adverse drug events on social media and (2) assess the reliability of social media data to identify adverse drug events.

Methods

We propose a collocated long short-term memory network model with attentive pooling and aggregated, contextual representation generated by a pretrained model. We applied this model on large-scale Twitter data to identify adverse drug event–related tweets. We conducted a qualitative content analysis of these tweets to validate the reliability of social media data as a means to collect such information.

Results

The model outperformed a variant without contextual representation during both the validation and evaluation phases. Through the content analysis of adverse drug event tweets, we observed that adverse drug event–related discussions had 7 themes. Mental health–related, sleep-related, and pain-related adverse drug event discussions were most frequent. We also contrast known adverse drug reactions to those mentioned in tweets.

Conclusions

We observed a distinct improvement in the model when it used contextual information. However, our results reveal weak generalizability of the current systems to unseen data. Additional research is needed to fully utilize social media data and improve the robustness and reliability of natural language processing systems. The content analysis, on the other hand, showed that Twitter covered a sufficiently wide range of adverse drug events, as well as known adverse reactions, for the drugs mentioned in tweets. Our work demonstrates that social media can be a reliable data source for collecting adverse drug event mentions.
A pattern shift in SARS-CoV-2 Omicron variant transmission after the city lockdown--observational study based upon daily reported addresses of infected cases (Preprint)
Authors: Yin Lihong , Zhang Guozhou
Published: September 2022

BACKGROUND

Varied degrees of lockdown have been imposed for dozens of jurisdictions upon facing the SARS-CoV-2 epidemics during the past two years. Areal lockdown has been demonstrated effective to reduce the morbility and mortality of COVID-19. Even after the strict lockdown the peak of infection will appear around 9-25 days (median 18 days) thereafter. A wave of Omicron variant (BA.2 and BA.2.2) outbreak was seen from March to May 2022, in Shanghai, a megacity in China mainland.

OBJECTIVE

To understand the sources of infection cases from outside or inside the isolated locations before and after the strict city lockdown.

METHODS

The attributable addresses of SARS-CoV-2 infection were reported daily as well as the infected cases from March 18th, 2022 on through government website, which was publicly accessible. The address data and infected cases were collected until May 29th, 2022. The location (longitude and latitude) of these addresses were retrieved and the pattern of repeatedly reported addresses were analyzed. A tool of simple and meso-scale point-based (location-based) chronological graph was used to visualize and analyze the interactions of these locations.

RESULTS

From March 18th to May 29th 2022, 173,350 items representing 35,743 unique addresses and 636,279 infected cases were released. The infection cases peaked 16 days after the city lockdown and were highly clustered in much crowded districts. The proportion of repeatedly reported locations of the previous day increased from around 20% before lockdown to greater than 40% in the plateau and remained at this level for up to one third (20/62) of the lockdown phase. This significantly increased proportion of intra-address infection indicated a pattern shift from inter-addresses to intra-address (D=0.2954, p<0.0001), which might perpetuate to the growth of infection cases. Based upon the day-to-day nearest neighbour transmission assumption the connections between some frequently repeated locations might be complex and heterogeneous.

CONCLUSIONS

During the strict areal isolation the intra-address infection may contribute significantly to infected cases of SARS-CoV-2 Omicron variant, the infection might have easily spilled over the boundary of family(with averaged family size of 2.3-3.1 people and family were required stay-at-home compulsively). This significant inter-addresses to intra-address pattern shift necessitated the understanding of intra-location transmission routes and corresponding interventions. Areal isolation and close off with homogeneous assumption inside and outside the isolated areas should be modified and the quantifing of the elevated risk for previously less exposed but much vulnerable sub-population was in pressing need.
My Research Collaborations with German Scientists and Scientific Institutions over the Past Six Decades
Authors: Liebermann Robert Cooper
Published: September 2022

Over the past six decades, I have maintained research connections with German scientists and scientific institutions while pursuing an academic career focusing on scientific discoveries of the physical properties of minerals at high pressures and temperatures. During this period, I have also visited many research laboratories in Germany, including Bayreuth, Berlin, Frankfürt, Giessen, Hamburg, Karlsruhe, Kiel, Mainz, Marbach, Munich, Potsdam, and Stuttgart.  The objective of this paper is to relate this history.
Syllables and Stress Assignment in Najdi Arabic
Authors: Alsuhaibani Alwaleed A.
Published: September 2022

The purpose of this paper is to present a detailed and unified analysis of word stress in Najdi Arabic (NA), a variety of Arabic spoken in Najd, located in the central region of Saudi Arabia. Regular stress, seemingly exceptional cases, and also variations within NA itself are all accounted for in a simple and straightforward manner. The proposed analysis is based on two principles. First, unlike previous studies that employ a three-way weight distinction between light, heavy, and superheavy syllables, a binary weight distinction between light (monomoraic) C(C)v; and heavy (bimoraic) C(C)vX(C) is proposed, where “X” is either a vowel or a consonant. Second, word-final consonants are crucially assumed to be “extrasyllabic”. The stress algorithm is constrained so that stress may fall on one of the last three syllables of a word, as follows: Stress the rightmost heavy syllable if and only if it is one of the word’s last three syllables; otherwise stress the antepenultimate syllable (initial syllable in disyllabic words). Variations within NA and seemingly exceptional cases are accounted for by the fact that stress assignment applies earlier in the derivation before the application of any other phonological processes that subsequently alter the shape of the word.
Factors to Consider in Developing Student Academic Performance with Prediction using Technology Acceptance Method (TAM)
Authors: D. Mapanoo Eliza
Published: September 2022

Adaptive Online Learning was one of the solutions of Higher Educational Institutions (HEIs) to have continuous education during pandemic. Innovative technological platform such as Learning Management System (LMS) served as a ground for compiling student requirements submission vital for identifying how well a student meets the standard course requirements. With the aid of predictive analytics included in LMS student can easily monitored their grades and submission, having a positive sign of inclusion to graduation on given time frame. While LMS was highly accepted in the Philippine Educational System, factors to consider in developing student academic performance with prediction was left unexplored. Thus, this study aimed to determine the software factors (trust, context, compatibility, security, complexity) and access method (devices used to access LMS, internet speed) significance to students’ attitude towards using the system through modified TAM among college students at higher educational institutions. The results showed that performance usefulness was influence by perceived ease of use while behavioral intention to use also show significant influence to attitude towards using the system.
Photosynthesis and growth of the sweet sorghum supplemented with silicon
Authors: Filho Oscar Fontão de Lima , Concenço Germani
Published: September 2022

Silicon is a major element in plants, being essential for some species and beneficial for others, with important role in plant metabolism. Several families of monocotyledons have the ability to absorb high amounts of this compound, being considered silicon accumulators. This is the case of sweet sorghum (Sorghum bicolor L. Moench), a plant with C4 carbon metabolism, with high photosynthetic activity, and great potential for ethanol production; its residual biomass can also be used for energy cogeneration in sugarcane production systems. The aim of this work was to evaluate the effect of silicon, in the form of sodium metasilicate, on sweet sorghum plants cultivated under hydroponic conditions and without stress of biotic or abiotic origin. There is a linear increase in silicon content in leaves, stalks and roots as a function of increasing doses of this element in the substrate. Silicon supplementation in sweet sorghum increases photosynthesis rates, water use efficiency and leaf biomass. The best dose of silicon for maximum photosynthetic efficiency is 70 mg L 1 of Si in the nutrient solution.
Insights-driven development of humanized foods for pets
Authors: White Brittany L
Published: September 2022

Commercialized petfood has been evolving since the late 1800s. From rock-hard, flour-based biscuits to the adaptation of extrusion andcanning, or the most recently developed “fresh-cooked” processes, thedifferentiation between foods for pets and humans is becoming increasinglyblurred.  Today, the U.S. pet food industryis worth $42 billion and continues to rapidly grow year after year.  This growth is, in part, driven by anincreasing pet population which was accelerated by the pandemic (APPA, 2022; Euromonitor,2022); however, much of the growth and evolution of the pet food industry isarguably in response to a growing bond between humans and their pets. As petparents are increasingly looking for new ways to nourish and delight their “fur-babies”,the development of new, alternative formats of pet foods offers many advantagesto pet parents including more variety of food choices that typically have amore pleasant appearance and aroma.  Benefitsfor the pet from these innovative foods include exceptional palatability andnutrient digestibility as compared to conventional pet foods, although barriersto the growth of new, alternative pet food formats such as “fresh-cooked” foodsdo exist.  Most notably, the cost to feedtheir pets a diet solely consisting of “fresh-cooked” foods may be prohibitivefor many pet parents; furthermore, these novel foods bring unique technical challengesto manufacturers that do not exist for conventional kibble and canned petfoods.  From securing ingredient supplyto ensuring the safety and shelf life of products, manufacturers of “fresh-cooked”pet foods have been challenged to adapt new formulations, processing methods,and supply chain strategies that have not previously existed in the pet foodindustry.  This paper will exploreconsumer insights that have led to the evolution of the pet food industry aswell as the unique opportunities that pet food brands face as they seek tosatisfy consumer demand for high quality, humanized foods for pets withoutcompromising the nutritional adequacy, safety, and sustainability of commercialpet food diets.
Промышленные роботы в мире: ведущие страны и фирмы
Authors: Акимов А.В.
Published: September 2022

Рассмотрены основные тенденции в динамике применения промышленных роботов по отраслям, странам и регионам. Дан обзор основных компаний-производителей промышленных роботов.
Методическая база выбора станков с ЧПУ в условиях многопредметного производства
Authors: Вартанов М.В. , Шкода О.М.
Published: September 2022

Дан краткий анализ существующих методик выбора технологического оборудования в машиностроении и их недостатков, возникающих при использовании станков с ЧПУ. На примере анализа работы цеха ПАО АК «РУБИН» выполнены расчет необходимого количества станков с ЧПУ и планировка технологической системы.
Распределение стружки в канавках метчиков при нарезании метрической резьбы
Authors: Иванина И.В. , Древаль А.Е.
Published: September 2022

В статье в аналитическом виде получена зависимость распределения объема срезаемого слоя между режущими зубьями метчика от конструктивных и геометрических параметров режущей части инструмента. Установлено, что увеличение погрешностей углового шага между зубьями метчика, возникающих при изготовлении инструмента и при его переточках, приводит к существенному перераспределению объемов припуска, приходящихся на режущие зубья инструмента. Показано, что приближенное равенство распределения припуска обеспечивается при равномерном угловом шаге между зубьями метчиков, при этом характер распределения нагрузки между режущими зубьями зависит не только от погрешностей углового шага, но и от очередности вступления режущих зубьев в работу.
Evaluation of potential use of mosquito net as an alternative and cheaper source for hernia repair in rabbits
Authors: Ali Aliza , Ijaz Misbah , Manzoor Asad , Mohy-ud-Din Zia , Shafaq Maheen
Published: September 2022

A hernia is an abnormal protrusion of a tissue or a complete organ through the wall of the cavity in which it is normally present. Surgically, hernias can be repaired using two techniques which is herniorrhaphy and hernioplasty. In herniorrhaphy, hernial ring is closed only by suturing ring, while in hernioplasty hernial ring is closed by some external aid. Different types of synthetic mesh materials are being used in hernioplasty which exceed the cost of treatment and burden on low-income farmers. To overcome this set back present study was planned with the objective to evaluate potential use of mosquito net as an alternative to mesh material in hernia repair. To achieve this, 20 rabbits were included in the study. After preparing the animals for aseptic surgery and anaesthesia, a wall defect (11x4cm) was created in ventral abdomen. Afterwards the animals were divided into two equal groups. For the wall defect of group 1 commercially available mesh was used while mosquito net was used for same purpose in rabbits of group 2. The efficacy of both the materials was compared using macroscopy parameters, ultrasonographic evaluation and histopathological examination of healed tissue. The data generated was subjected to statistical analysis using chi-square technique. The findings showed that the strength, type and extent of adhesions were non-significant (p>0.05) in both groups on day 15 as well as on day 30th. There were no recurrences, and the mesh was well-integrated into the host tissue in both the groups. Nylon mosquito net used in the current study to repair hernia defect gave almost similar results as that with commercially available mesh and the statistical results were also insignificant. Considering the findings of the study it is concluded that as mosquito net used for repair of induced abdominal wall defect resulted into comparatively equal results to commercially available mesh with minimal to no tissue reaction, almost similar tissue healing histopathologically and no difference on ultrasonographic (USG) examination makes mosquito net a suitable and economical replacement for commercial mesh.
Agricultural post-harvest sustainability through the development of Low-Cost Zero Energy Cooling Chambers (ZECC) – A case study of tomatoes
Authors: Mehmood Zahid
Published: September 2022

Food security is a big challenge for low- and middle-income countries like Pakistan due to climate change, lack of sustainable agricultural practices, and post-harvest losses. Post-harvest losses (20–50%) are the most significant economic barrier for Pakistan's small and marginal farmers with limited financial resources. Highly perishable commodities such as tomatoes are more vulnerable to spoilage and deterioration, especially during the food supply chain. As a result, they require immediate cooling after harvesting to slow down the ripening process and maintain sensory quality to facilitate supply to the market. Considering the issues above, the current study aimed to develop cooling chambers that require no energy to operate, allowing small farmers to store perishable goods for a shorter time. Zero Energy Cooling Chambers (ZECCs) was built with inexpensive raw materials, such as bricks, sand, and bamboo. ZECCs were successful in maintaining a lower temperature and higher RH compared to the harsh ambient environment. To investigate the dimensional effects of ZECC on tomatoes, four chambers of varying dimensions (selected at random) were built. Nutritional profiles of tomatoes were assessed by storing them inside and outside ZECC; based on this profiling, it was observed that the tomatoes stored in ZECC showed better keeping quality and higher shelf life than those held at ambient temperature.
Heterogeneidad y religiosidad popular en la Iglesia Latinoamericana
Authors: Zambrano Tiznado Juan Pablo
Published: September 2022

The poverty category in Latin American Church is reviewed in the light of Cornejo-Polar’s heterogeneity category. Based on religious studies, popular religiosity is posed as a type of homogenizing race mixing that avoids describing and understanding our continent as heterogenous. Finally, it is postulated that the theological category of poverty be removed and, then, replaced by richness.
Diabetes Prediction System
Authors: Kalbhor Ishaan Devendra
Published: September 2022

Abstract: This model of retrieving useful information and models from the data is also called database knowledge discovery, which involves certain phases such as data selection, classification and transformation evaluation. Machine learning algorithms are primarily classified as supervised and unsupervised. A supervised learning algorithm uses past experience to make predictions about new or invisible data, whereas unsupervised algorithms can draw interferences from data sets. Supervised learning is also described as classification. This study uses classification technique to produce a more accurate belong to class. The classification algorithms have been applied to the Indian Diabetes Dataset of the PIMA of the National Institute of Diabetes, Digestive and Kidney Disease which contains data on diabetic women.
A focus on science communication at #ICA22
Authors: Fleerackers Alice
Published: September 2022

This year’s International Communication Association conference (ICA 2022) featured more than 700 presentations, as well as an inaugural Science of Science Communication pre-conference. With a theme of “Mapping the Field,” the pre-conference sparked discussions about topics such as cross-cultural perspectives on COVID-19 and climate change communication, the rejection and skepticism of scientific evidence, theoretical models for trust in science, and the role of artificial intelligence in science communication. Keynote presentations reflected on lessons learned from COVID-19 and climate communication and offered recommendations for the future of the field.
Theorizing Digital Politics in Russian and Foreign Studies
Authors: Volodenkov Sergey V.
Published: September 2022

The guest editor of this issue, Sergey Volodenkov, is a recognized expert in digital political communications, manipulation and propaganda technologies in modern informational confrontations, public consciousness management, problems of national information security and hybrid wars. His editorial article presents this thematic issue dedicated to the phenomenon of digitalization of political processes and digital politics in general. The purpose of the issue is to demonstrate the achievements of Russian political scientists who develop their original approaches and work in collaboration with foreign academics in political communication studies and demonstrate the lines of the most rigorous research.
Darknet and the Political
Authors: Yakovlev Maksim V.
Published: September 2022

The Darknet is becoming an increasingly visible structural unit in the political sphere and at the same time remains a little-studied area of cyberspace. Therefore, the article aims to determine the conceptual prism for its consideration and its actual significance in the measurement of the political. With the help of comparative historical analysis, the study reveals the causes and time of the political birth of the Darknet, characterizes its resources and political role through system and content analysis, systematizes and clarifies the concepts of power and politics in the Network based on the provisions of R. Gel, M. Castels, K. Schmitt, etc. The author names the expansion of states (especially autocracies) in the digital space as the main factor in the politicization and transformation of the Darknet. The pressure of power and dominance systems aimed at maintaining sovereignty and control in cyberspace caused “digital resistance” of programmers and users seeking free data exchange and confidentiality, as well as civil activists who strived to avoid prosecution for dissent, which led to the renewed architecture and functionality of the Darknet, its transformation into an alternative space of informational interaction and a database to build up the opposition potential. Criminals also took advantage of the opportunities of the new network for their own purposes. The main result of the research is the thesis that the Darknet is being transformed into a special socio-technical system that is outside the sphere of international and state law, where all interactions are carried out exclusively through private agreements between clients, with an alternative world payment system based on cryptocurrencies.
Digital Political Communication in Russia: Values of Humanism vs. Technocratic Approach
Authors: Bykov Ilya A. , Kurushkin Sergey V.
Published: September 2022

The massive spread of digital technologies has led to the transformation of practices related to communication and, in particular, political communication. The development of digital technologies in political communication results in the emergence of new participants, who can be called network actors, the perception of which by various social groups is transformed under the influence of the values shared by the communication parties. The research discusses the current state of the communications theory in the light of the digitalizing media space and the transforming humanistic values. The authors suggest applying the ideas of post-humanistic philosophy to the analysis of the problems and prospects of political communication in the context of digitalization. The purpose of the research is to study the specific features of political communication in a digital society based on an anthropocentric approach and in the context of opposing modern humanistic values to the ideas of technocratic control and management. The empirical basis of the study includes the results of two focus groups (students and senior citizens) held in St. Petersburg in the spring of 2022, where participants discussed the problems of communication between people and chatbots. It was found that although young people in general interacted more actively with chatbots, both age groups showed a favorable attitude towards chatbots and technological progress. However, in the senior age group, humanistic values manifested themselves more explicitly (the problem of a “live voice”, issues related to the emotional component of communication, and even concern for jobs that people might lose). The authors conclude about the insufficiency of the technocratic approach and the need to take into account the values of modern humanism in implementing new forms of communication with network actors.
Digital Nomads and Migration Processes in the Russian IT: A Political Analysis
Authors: Taisheva Vasilya V.
Published: September 2022

IT industry is one of the top priority areas for economic development not only in Russia, but also in other countries worldwide. The Russian government is pursuing a policy to promote the development of information technology in the country and support specialists in this field. The IT sphere is one of the most attractive among applicants, and the IT market volume shows stable growth. However, in the context of tightening Western sanctions and the aggravation of the political situation in February-March 2022, the Russian IT industry faced a massive outflow of qualified specialists from Russia. And although the problem of personnel shortage (including due to migration) has existed in Russia for a long time, the volume of the migration flow of IT specialists over the specified period was significant for the domestic IT industry. The author attempts to identify the reasons for the migration of IT specialists, considering various push and pull factors that exist in the context of the Russian IT market. To achieve this goal, the author conducted a semi-structured survey among representatives of the IT sector, including professionals who have already moved or are planning to move in the near future, as well as those who have decided to stay in Russia. Based on the results of the study, some particular and general factors for the migration of IT specialists were identified. In addition, the article gives the proposals of the interviewed specialists regarding state support for the IT industry.
Affective Political Polarization and Hate Speech: Made for Each Other?
Authors: Stukal Denis K. , Akhremenko Andrei S. , Petrov Alexander P.C.
Published: September 2022

Abundant academic research has shown evidence of the growing polarization across the globe both in general and in terms of affective polarization. Previous research on this topic primarily employed reactive research methods like surveys or experiments, which however do not allow researchers to observe the behavior of the units of analysis in a natural setting. Presents an alternative approach that involves analyzing the observed behavior of social media users and identifying the key polarizing cleavages through the study of hate speech with respect to distinct target groups. We present a novel coding schema for textual data, which includes two components: first, an operationalized definition of hate speech as a phenomenon with at least one of the three elements - insult, discrimination, or aggression; and second, an original coding guide for human coders annotating the use of hate speech. We apply our approach to the analysis of empirical data that includes over 5000 posts on the social media platform VK about the meetings between the Presidents of Russia and Belarus in 2020-2021. After coding the collected data, we performed the empirical analysis that identified two generic cleavages. One is about domestic politics in Belarus and Russia, whereas the other is related to the opposition between these two countries on the one hand, and Western countries on the other. We also found an additional Russian/Belarusian cleavage that is peculiar to the collected dataset. Our methodology also allowed us to identify and analyze the dynamics of macro-groups that were targets of hate speech. Importantly, these results - as any other dynamic aspect of analysis - would be highly challenging in research based on reactive methods. Thereby our results highlight the prospects of applying the proposed methodology to a broad range of textual data, as well as the benefits of exploratory analysis that helps overcome the limitations of survey instruments.
Political Implications of Hate Speech Digitalization in a Post-Truth Era: Impact on Emotional Regimes in Digital Conflicts
Authors: Kolotaev Yury Y.
Published: September 2022

The digitalization of public life modifies old phenomena. Some of these changes prove to be detrimental to certain public spheres, including politics. Digital hate speech is one of the most obvious examples of digitalization’s impact on political processes. The manifestation of hatred online became an urgent challenge to political systems globally. In this respect, a theoretical and practical elaboration is necessary to counter the new threat. This study aims to identify the social mechanisms that make hate speech an instrument in information campaigns. The article illustrates the discursive and emotional aspects of the public manifestation of hatred. The theoretical basis of this work is the theory of “emotional regimes” and the concept of “regimes of truth”, which express the mutual influence of subjectivity and public discourse. Comparing the theoretical framework with the practical aspects of hate speech demonstrates that digital platforms and social networks form an environment that accelerates and facilitates the dissemination of hatred in the public space. As a result, various forms of hatred are accepted as a new social norm, which leads to such phenomena as harassment, humiliation, or even physical persecution. The modern technical reality allows to instrumentalize hate speech for manipulation, which results in three main scenarios for social impact: 1) large impact with low personalization; 2) targeted impact with high personalization; 3) broad and decentralized targeted impact using artificial intelligence. While countering each of these scenarios, a key challenge is to combine long-term and specialized measures.
Perception by Russian Social Media Users of Mass Protests During the Attempted Coup in Kazakhstan
Authors: Brodovskaya Elena V. , Parma Roman V. , Podrezov Konstantiv A. , Davydova Maria A.
Published: September 2022

The article presents the results of an applied political research on the representation of the 2022 Kazakh events in the Russian segment of social media. The context of the study stems from the significant intersection of the Russian and Kazakh segments of social media and the mutual influence of political processes. Under the political mobilization of the mass protests in Kazakhstan, which turned into an attempted coup, the activities of Russian counterelites intensified in various regions of Russia. Using a hybrid research strategy combined with cognitive mapping and social media analysis the authors managed to identify dynamic, structural and substantive characteristics of the information representation of the Kazakh events in the Russian segment of the Internet. The authors concluded that the scale of the Kazakh protests allowed to draw the short-term interest of the Russian audience, mainly from the regions bordering Kazakhstan. The use of economic triggers (rising prices, inefficient social policy, etc.) led to the involvement of the adult audience in the discussions around the Kazakh events, while a significant part of youth and young adults was excluded from information flows around the events. The study revealed that the Russian opposition attempted to use manipulative “contamination” technology in order to extrapolate the political and economic discontent in Kazakhstan to the situation in Russia. At the same time, the greatest resonance in the Russian segment of users was caused directly by the participation of the Collective Security Treaty Organization (CSTO) in the settlement, and not by the social and economic triggers that led to the events.