bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Motivasi Orang Tua Terhadap Minat Belajar Siswa Kelas V SD Inpres Daya Makassar
Authors: Susanti Nur Awalia , Hamid Sundari , Pilang Abd. Rahman
Published: September 2023

ABSTRAK

Penelitian ini bertujuan untuk mengetahui pengaruh motivasi orang tua terhadap minat belajar siswa kelas V SD Inpres Daya Makassar. Penelitian ini merupakan jenis penelitian kuantitatif dengan menggunakan metode korelasi untuk mengetahui ada tidaknya hubungan antara suatu variabel dengan variabel lainnya. Sampel penelitian adalah siswa kelas V SD Inpres Daya Makassar yang berjumlah 30 siswa. Teknik pengumpulan data dalam penelitian ini yaitu observasi dan angket/kuesioner dengan menggunakan skala likert dengan dua variabel, yaitu motivasi orang tua dan minat belajar siswa. Analisis data menggunakan analisis deksriptif. Analisis awal menggunakan uji validitas, uji normalitas, dan uji linearitas. Kemudian dilanjutkan dengan uji korelasi untuk mengetahui hubungan antara variabel motivasi orang tua dan variabel minat belajar siswa. Kaidah uji korelasi yaitu jika rhitung > rtabel maka Ha diterima, artinya terdapat pengaruh yang signifikan antar variabel X terhadap variabel Y. Hasil dari penelitian ini menunjukkan bahwa terdapat hubungan positif dan signifikan antara motivasi orang tua dan minat belajar siswa kelas V SD Inpres Daya Makassar. Arah hubungannya yaitu positif ditunjukan dengan nilai dari koefisien korelasi sebesar 0,489 adalah positif. Memiliki hubungan yang signifikan ditunjukkan dengan koefisien korelasi dengan nilai rhitung lebih besar dari nilai rtabel yaitu 0,489 > 0,361.
DAMPAK PENGGUNAAN SMARTPHONE TERHADAP MOTIVASI BELAJAR SISWA SD INPRESS PAROPO KOTA MAKASSAR
Authors: Rika Septiani , Yunus Muhammad , Muriati St
Published: September 2023

Septiani Rika. 2022. Dampak Penggunaan Smartphoneterhadap Motivasi Belajar Siswa SD Inpres Paropo Kota Makassar. Skripsi Program Studi Pendidikan Guru Sekolah Dasar, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bosowa. Dibimbing oleh Prof. Dr. Muhammad Yunus, M.Pd. dan St. Muriati, S.Pd., M.Pd. Penelitian ini bertujuan untuk (1) Untuk mengetahui dampak positif dari penggunaan smartphone. (2) Untuk mengetahui dampak negatif dari penggunaan smartphone.(3) Untuk mengetahui seberapa besar pengaruh penggunaan smartphone terhadap motivasi belajar siswa.Penelitian ini menggunakan pendekatan kuantitatif dengan metode survey. Populasi dalam penelitian ini adalah siswa SD Inpres Paropo Kota Makassar sebanyak 100 siswa, dengan jumlah sampel 33 siswa. Adapun teknik pengambilan sampel menggunakan purposive sampling. Teknik pengumpulan data menggunakan angketdan uji validitas, uji reliabilitas, uji normalitas, uji linearitas, regresi linear sederhana, dan uji hipotesis. Hasil penelitian menunjukkan bahwa smartphone dapat mempengaruhi motivasi belajar siswa SD Inpres Paropo Kota Makassar. Dampak positif, yaitu: mempermudah komunikasi, hiburan dan memperluas jaringan persahabatan. Dampak negatif, yaitu: smartphonemengganggu perkembangan anak, efek radiasi, mempengaruhi sikap dan perilaku siswa. Peneliti disarankan kepada guru dan orang tua siswa untuk senantiasa melakukan pengawasan dan mengontrol siswa dalam menggunakan smartphone untuk pembelajaran.
Pengaruh Game Petualangan Dragon Dalam Menumbuhkan Motivasi Belajar Peserta Didik di Kelas IV UPT SPF SDN Lariang Bangi I Kota Makassar
Authors: Balalembang Vinsen , Hamsiah Andi , Swandi Ahmad
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh game petualangan dragon dalam menumbuhkan motivasi belajar peserta didik di kelas IV UPT SPF SDN Lariang Bangi I Kota Makassar. Jenis penelitian ini ialah penelitian eksperimen dengan pendekatan kuantitatif dengan desain penelitian Nonequivalent Control Qroup Desaign, yaitu penelitian ini dilakukan dengan memberikan perlakuan dengan memberikan game edukasi kepada kelompok eksperimen dan menyediakan kelompok kontrol sebagai pembanding. Sampel penelitian ini adalah peserta didik di kelas IV A dan IV C sebanyak 42 Orang. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah angket yang dianalisis dengan statistik deskriptif. Hasil penelitian menunjukkan bahwa ada pengaruh penggunaan media game petualangan dragon dalam pembelajaran terhadap motivasi belajar peserta didik. Hal ini dapat dilihat berdasarkan hasil analisis bahwa nilai tHitumg sebesar 3,761 dan ttabel untuk 21 responden sebesar 1,734 maka 3,761 > 1,734 dapat disimpulkan bahwa terdapat pengaruh yang signifikan pada penggunaan game edukasi terhadap motivasi belajar siswa kelas IV UPT SPF SDN Lariang Bangi I Kota Makassar.
Pengaruh Penggunaan Video Edukasi Terhadap Keterampilan Menyimak Siswa Kelas V di UPT SPF SDN Pampang Kota Makassar
Authors: Merchi Merchi , Madjid Syahriah , Angreani A. Vivit
Published: September 2023

ABSTRAKPenelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh penggunaan video edukasi tterhadap keterampilan menyimak. Jenis penelitian ini adalah penelitian eksperimen dengan desain penelitian Pre-Experimental One Group Pretest-Posttest, yaitu memberikan tes sebelum adanya perlakuan, kemudian memberikan tes setelah adanya perlakuan dengan menggunakan video edukasi. Subjek dalam penelitian ini adalah siswa kelas V di UPT SPF SDN Pampang Kota Makassar. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, tes dan dokumentasi yang dianalisis dengan statistik deskriptif dan inferensial. Hasil penelitian menunjukkan bahwa ada pengaruh penggunaan video edukasi terhadap keterampilan menyimak siswa. Hal ini dapat dilihat berdasarkan hasil analisis bahwa nilai tHitumg tTabel = 16,26 1,703 dan dapat disimpulkan bahwa terdapat pengaruh yang signifikan pada penggunaan video edukasi terhadap keterampilan menyimak siswa siswa kelas V di UPT SPF SDN Pampang Kota Makassar.

Kata kunci: Video edukasi, keterampilan menyimak.

 

 

ABSTRACTThis study was conducted with the aim of determining the effect of using educational videos on students' listening skills. This type of research is experimental research with a Pre-Experimental One Group Pretest-Posttest research design, which is to provide tests before treatment, then provide tests after treatment using educational videos. The sample in this study were 27 students of class V-a. The data collection techniques used in this study were observation, tests and documentation analyzed with descriptive and inferential statistics. The results showed that there was an influence of the use of educational videos on students' listening skills. This can be seen based on the results of the analysis that the value of tHitumg ≥ tTable = 16.26 ≥ 1.703 and it can be concluded that there is a significant influence on the use of educational videos on the listening skills in class V students at UPT SPF SDN Pampang Makassar City.

Keywords: Educational Videos, listening skills.
PEMANFAATAN GAME EDUKASI CES DALAM MENINGKATKAN HASIL BELAJAR IPAS PADA SISWA KELAS IV UPT SPF SDN LARIANG BANGI I KOTA MAKASSAR
Authors: Saputri Citra Elfia , ARSYAD SUSALTI NUR , SWANDI AHMAD
Published: September 2023

Citra Elfia Saputri. 2023. Pemanfaatan Game Edukasi CES dalam Meningkatkan Hasil Belajar IPAS pada Siswa Kelas IV UPT SPF SDN Lariang Bangi 1 Kota Makassar. Skripsi program studi Pendidikan Guru Sekolah Dasar, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bosowa. Dibimbing oleh Susalti Nur Arsyad dan Ahmad Swandi. Penelitian ini dilakukan dengan tujuan untuk mengetahui pemanfaatan media game edukasi CES terhadap peningkatkan hasil belajar IPAS siswa kelas IV UPT SPF SDN Lariang Bangi 1 Kota Makassar. Jenis penelitian ini adalah penelitian ekperimen dengan desain penelitian Pre-eksperimental design one group pretest-posttes, yaitu pemberian tes sebelum adanya perlakuan, kemudian memberikan tes setelah adanya perlakuan dengan menggunakan media Game Edukasi CES. Sampel penelitian ini adalah siswa kelas IV sebanyak 21 orang. Penelitian dilakukan sebanyak 5 kali pertemuan. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah teknik tes dan angket yang dianalisis dengan statistik deskriptif dan statistik inferensial. Penelitian menunjukkan bahwa terdapat manfaat media game edukasi CES terhadap peningkatan hasil belajar IPAS siswa kelas IV UPT SPF SDN Lariang Bangi 1 Kota Makassar. Hal ini dapat dilihat berdasarkan hasil analisis uji hipotesis paired sampel t-test diperoleh nilai thitung= -11,612 lebih besar dari pada ttabel= 1,72913. Selain itu juga berdasarkan dengan nilai mean yang didapatkan pada nilai pretest yaitu 49,86 dan posttest yaitu 80,24 hal ini menunjukkan adanya peningkatan nilai mean dari kedua data subjek penelitian. Berdasarkan hasil tersebut dapat disimpulkan bahwa ada perbedaan yang signifikan sebelum dan sesudah dilakukan perlakuan berupa media game edukasi CES terhadap hasil belajar siswa. Dengan demikian, dapat disimpulkan bahwa terdapat manfaat positif antara media game edukasi CES terhadap hasil belajar siswa.

 

Kata kunci: Game edukasi CES, Hasil belajar siswa.
CRIMINOLOGY IN LITERATURE: THE TELL TALE HEART BY EDGAR ALLAN POE
Authors: Abeng Andi Tenri , Anasti Putri Kiki Islawati , Moelier Dahlia D.
Published: September 2023

This study aims to analyse the criminology aspects, types of crime found in The Tell Tale Heart by Edgar Allan Poe and the motives that drives the criminal in committing such crime. The methodology used in this research is qualitative descriptive method and used theory from Wilson and Durkheim about aspects and types of crime. The result shows that there are four aspects of criminology found in the short story: the lens, the theorization, the historycization and the comparison applied in how crime and justice have similarities and differences in criminology as compared to literature. The type of criminal is personal or violent crime and the motive behind the crime is the vulture eye owned by an old man that create uneasiness in the criminal mind along with his disease resulting in him murdering the old man
ANALISIS DEIKSIS PADA NOVEL DEAR IMAMKU KARYA MELLLYANA
Authors: Wahyuni Ibrahim Sri Nur , Madjid Syahriah , Angreani Andi Vivit
Published: September 2023

Sri Nur Wahyuni Ibrahim. 2022. Analisis Penggunaan Deksis Kalimat Pada Novel Dear Imamku karya Mellyana. skripsi Program Studi Pendidikan Bahasa dan Sastra Indonesia, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bosowa. Dibimbing oleh Dr. Syahria Madjid M.Hum dan A. Vivit Angreani S.Pd., M.Pd.

Sinopsis Novel Dear Imamku karya Mellyana adalah seorang dokter tampan yang menikahi gadis SMA bernama Alysa. Perjalanan rumah tangga keduanya tidaklah mudah. Banyak lika-liku yang harus mereka lalui. Mulai perbedaan sikap, munculnya orang ketiga, dan misteri kematian sahabat Alysa. Novel bergenre spiritual, romance, dan misteri yang mengajarkan tentang cinta dan berbahayanya dendam. Penelitian ini bertujuan untuk mendeskripsikan deiksis persona, deiksis tempat, deiksis waktu, deiksis wacana dan deiksis sosial pada novel Dear Imamku karya mellyana. Metode pengumpulan data yang digunakan adalah teknik membaca dan mencatat. Data dalam penelitian ini berupa Novel yang berjudul Dear Imamku Karya Mellyana. Teknik analisis adalah menggunakan teknik analisis deskriptf.Berdasarkan hasil penelitian dan pembahasan yang telah dipaparkan sebellumnya, maka dapat disimpulkan dalam penelitian ini bahwa dalam Novel “Dear Imamku” Karya Mellyana mengandung deiksis persona, deiksi tempat, deiksis waktu, deiksis wacana dan deiksis sosial.

Kata Kunci: Novel, Deiksis persona, tempat, waktu, wacana dan sosial.
Reduction of Overvoltages under Connection on a High-Voltage Cable Line Due to Optimal Controlled Switching
Authors: Lobodzinskiy Vadim , Buryk Nikolay , Spinul Lyudmila , Chibelis Valeriy , Illina Olga
Published: September 2023

The purpose of the work is to develop a mathematical model of a cable transmission line, which allows modeling and choosing the optimal conditions for controlled switching to limit overvoltage at the development and design stage. The goal is achieved by solving the problem of determining the initial angle of each phase, so that each phase has an initial switching angle equal to zero with a time delay. A high-voltage cable line for a voltage of 330 kV, implemented using Matlab, has been chosen as the object of study. The most significant result is the method of numerical simulation of the cable line that allows you to analyze transients when each phase of a three-phase cable line is connected to a three-phase source with a time delay, the switching angle of all phases is zero. This, in turn, makes it possible to limit switching overvoltages. The significance of the results obtained lies in the possibility of the proposed technique to choose the optimal conditions for controlled switching, which makes it possible to use it in the design of switching nodes, as well as the use of controlled switching to eliminate unwanted electrical transients during planned switching. The simulation results showed that the greatest effect of using numerical simulation is when each phase of a three-phase cable line is connected to a three-phase source with a time delay of 1/150 second, then the switching angle of all phases is zero, which makes it possible to limit switching overvoltages. Keywords: three-phase cable line, switching overvoltage, transient processes, controlled switching, theory of multipoles, modeling of electrical engineering objects.
The Method for Generating a Set of Reference Images for Assessing the Condition of Critical Infrastructure Facilities Using Mobile Robots
Authors: Tymochko Oleksandr , Burdin Mykhailo , Najafli Emin , Tsukan Oksana , Olizarenko Serhij , Biryukov Igor , Biriukov Оleksii , Tiurina Valeriia , Zakirov Serhii , Padalka Ivan
Published: September 2023

The purpose of this work is to improve the accuracy of critical infrastructure condition assessment using mobile robots by considering the geometric distortions of the current images during the formation of a set of reference images. The goal is achieved by determining the sampling step values by angles and sighting height without loss of accuracy. The most important result is the determination of acceptable discretization values in the range of angles and heights of a correlation-extreme navigation system. The significance of the obtained results is in solving the problem of forming a set of reference images, which will reduce the impact of changes in the geometry of sighting on the accuracy of the evaluation of objects. A special feature of the results obtained is the establishment of maximum permissible sampling steps in angles and heights of sight to ensure the required accuracy of object state estimation. When forming a set of reference images, the sampling step by height should be (0.06....0.11)% and (0.12....0.2)% relative to the initial flight altitude for the sighting surface with normal and high object saturation, respectively. The angular sampling step is 10...17 degrees and 6...10 degrees, respectively, for the same surface types. The difference from known works is that the perspective and scale distortions are considered at the stage of formation of a set of reference images, which ensures high accuracy of the system functioning in conditions of orientation and sighting geometry changes.
Developing Modern Flash Cards Using Canva with Quick Response Code to Enrich Students’ Vocabulary and Improve Pronunciation
Authors: Paputungan Neycinthia , Basalama Nonny , Pilongo Jolanda
Published: September 2023

This research aims to develop modern flash cards at seventh-grade students at MTs N 2 Boaang Mongondow that integrated with technology such as quick response to enrich student vocabulary and pronunciation, also for enhancing students’ understanding towards English lessons. This topic is raised because the learning model that implemented nowadays is still focused on the conventional method or teacher-centered learning model where the teachers in front of the class become the center of knowledge. Meanwhile, the junior high school students are the generation who were born and living in technology era. This research is conducted to ascertain the students’ needs in the English lessons, then develop modern flash cards using quick response code based on the seventh grade English lesson. The research flow refers to 4D model that consist of four stages; define, design, develop and disseminate. Data was collected through questionnaires, analyzing student needs and preferences. The result revealed students’ average English proficiency level was very low both in terms of vocabulary and pronunciation. However, this developed modern flash cards product successfully addressed the students’ needs and pronunciation. Leading to increased motivation, promote students enthusiastic and active participation in English language learning.

Keywords: Modern Flash Cards, Canva, QR-Code, Learning Media, 4D Model
Manggunting OBUK Batak Toba Study: Local Wisdom
Authors: Pardamean Samosir Donni Victor , Sinulingga Jekmen
Published: September 2023

In this study the authors discuss Manggunting obuk Toba Batak Studies: Local Wisdom. The purpose of this research is to explain the Manggunting obuk Toba Batak Describe the Manggunting obuk Toba Batak, and Describe the norms of local wisdom contained in scissors Toba Batak. The theory used to analyze the data from this research is the theory of wisdom local. In completing this thesis, the author uses qualitative methods. To find the results in this thesis, the writer uses data collection methods, namely (1) direct interviews with informants, (2) observation, (3) documentation related to the object under study. The results found in this study are that there are manggunting carried out simultaneously using those carried out starting from Mangharanoani, Marsepsi,scissors or fundraising for esek-esek, marambit, mebat mengbati, ulos parompa, ulos tondi gifts, and dugu-dugu. The message is on scissors is a form of gratitude to God because children are born safe and healthy, besides that this also strengthens friendship between families, and the values of local wisdom contained incisors are politeness, honesty, social solidarity, harmony and conflict resolution, commitment, positive thoughts, gratitude, hard work, discipline, health, mutual cooperation, gender management, preservation and creativity culture. The author hopes that young people will preserve and recommend knowledge about the methods, stages and processes of Manggunting obuk in the Toba Batak area.

Keywords: Local Wisdom, Toba, Mangguting obuk, Hair, Babies
GC-MS Analysis and Biological Effects of Essential Oil from Trachyspermum ammi L
Authors: Shahnaz Shahnaz , Hidayat Ullah Khan Hidayat Ullah Khan , Rani Begum Rani Begum , Fozia Fozia , Shaista Parveen and Afzal Shah Shaista Parveen and Afzal Shah
Published: September 2023

Trachyspermum ammi L, local seed’s essential oil and its crude methanolic extract were evaluated for antioxidant, antibacterial, and urease inhibition activities. Largely, 18 constituents were identified in the essential oil using The GC-MS. The promising constituent reported was terpeniodes; which seem to be responsible for the reported biological activities. DPPH Free radica1 scavenging assay was done to evaluate the antioxidant activities of both oil and crude extract. The DPPH scavenging activity results in lC50 values of 75 and#177; 0.05 and 300 and#177; 0.03. Antibacterial activity of the oil was carried out by using strains of Escherichia coli (89%), Bacillus subtilis (85%), and Streptococcus aureus (80%), while for the crude extract strains of E. coli (86%) B. subtle (89%), and S. aureus; (85%) were used. E. coil of T. ammi exhibits promising results with Aspergillus. flavus1 (86%) and Aspergillus1 Niger1 (87%). The phytochemical analysis of the T. ammi, crude extract showed the presence of saponins, flavonoids, steroids, terpenoids, and cardiac glycosides in the phytochemical investigation. Urease inhibition showed potent inhibition against B.P and J.B Urease with IC50 values of 85 and#177; 0.06 and 67.45 and#177; 0.8, respectively. Plant crude showed optimal results for B.P and Jack bean urease with IC50 values of 55.77 and#177; 0.01 and 35.56 and#177; 0.04, respectively.
Removal of Food Dye Tartrazine (E102) from Aqueous Solution using ZnO and CuO-TiO2 as Photocatalysts
Authors: Mumtaz Hussain Mumtaz Hussain , Maheem Farid Maheem Farid , Sumbal Sumbal , Nabila Ali Nabila Ali , Savira Karam Savira Karam , and Muhammad Azam Khan and Muhammad Azam Khan
Published: September 2023

Tartrazine dye has a major role in food as well as in other industrial products, like cosmetics, personal care products, pharmaceutical products and many more, therefore it is the cause of many environmental pollutions particularly water pollution. Its removal from water bodies is almost impossible with traditional techniques, because of heterogeneity in its composition. This investigation was carried out to examine the photo-catalytic degradation of food dye tartrazine (E102) from its aqueous solution, using ZnO (zinc oxide) and mixed CuO-TiO2 (copper oxide-titanium dioxide) as photo-catalysts at room temperature. The influence of several parameters, such as pH of medium, time of irradiation, concentration of dye solution and amount of catalyst was investigated. Kinetic analysis was also carried out using Langmuir – Hinshelwood approach.

Maximum Photo-Catalytic Degradation (PCD) of E102 was observed to be at pH 1. Similarly significant rise in the degradation of E102 was observed with the time of irradiation, concentration of dye solution and amount of catalyst.

From the results obtained it was observed that ZnO and CuO-TiO2 are effective photo-catalysts for the removal of E102 from its aqueous solution. However ZnO was observed to be more effective than CuO-TiO2 in the degradation of E102 from aqueous solution.
Study the Effect of Zwitterionic Hydrophilic Interaction for Simultaneous Determination of Non-Steroidal Anti-Inflammatory Drugs in Dosage Forms
Authors: Ali Amer Waheb Ali Amer Waheb , Ashraf Saad Rasheed and Mohammed J M Hassan Ashraf Saad Rasheed and Mohammed J M Hassan
Published: September 2023

Flurbiprofen and ketorolac are non-steroidal anti-inflammatory drugs (NSAIDs) that include both hydrophilic and hydrophobic functional groups in their structures. By connecting sulfobetaine molecules to polystyrene-divinylbenzene particles, two ZIC-HILIC stationary phases (ZIC-SB1 and ZIC-SB4) were developed for chromatographic separation of NSAIDs with varying chain lengths using Ultraviolet as detection. The different chain lengths of the stationary phases are utilized to investigate the retention behaviour of NSAIDs. Simultaneous quantification methods for ZIC-HILIC were developed. Flurbiprofen and ketorolac exhibited high precision with a small relative standard deviation (RSD) value of 0.48%, linear ranges of 0.015-6 and 0.06-4.5 ppm and detection limits of 0.009-0.006 and 0.01-0.008 ppm with a coefficient of determination (R2) of 0.9995-0.9997 for the ZIC-SB1 and ZIC-SB4 stationary phases, respectively. Statistical testing was used to compare the approaches to the British Pharmacopoeia protocol, and no difference in accuracy was discovered.
Synthesis of New Series of Transition Metal Complexes with Poly (Pyrazolyl) Borates
Authors: Akef Ibrahim Alhmaideen Akef Ibrahim Alhmaideen , Hamzeh M Abdel Halim Hamzeh M Abdel Halim , Assala A Al Twal and Adnan S Abu Surrah Assala A Al Twal and Adnan S Abu Surrah
Published: September 2023

In structuring catalysis enzyme and chemistry, tridentate ligands and Scorpionate ligands are of significant worth. This study presents the synthesis of a tris(pyrazolyl)borate ligand to be utilized in transition metal complexes as possible redox shuttles. Complexes of general formula [AgTp], [MIIITp (Cl2)] (M = Fe, Co), Tp = tri (1-pyrazolyl) borohydride and [AgTp*], [FeIIITp*(Cl2)], Tp* = tris (3, 5-dimethyl-1-pyrazolyl) borohydride were synthesized and characterized in solid state. The Tp ligands were considered triply coordinated with the metal center with two bounded chloride atoms as per the information gathered from spectroscopic information. Entire preparations and operations were performed under argon using common Schlenk procedures. Elemental analysis was performed using (the EURO EA instrument). Thermolysis shows that the Tp ligand decomposes around 100oC and above 300oC for some complexes. The composites were simple to compose, yielded high yields, and were reasonably air sensitive. This study has examined the synthesis of a tris(pyrazolyl)borohydride ligand to develop an iron complex. Further studies conducting electrochemical tests should be carried out to demonstrate the effectiveness of this likely redox mediator.
БАТЫС ҚАЗАҚСТАН ОБЛЫСЫНЫҢ МАЛ ШАРУАШЫЛЫҒЫ: ҚАЗІРГІ ДАМУ ЖАҒДАЙЫ МЕН ПРОБЛЕМАЛАРЫ
Authors: Жангалиева Ельназ , Л Таршилова
Published: September 2023

Цель статьи - проанализировать современное состояние животноводства Западно-Казахстанской области и выявить причины, сдерживающие рост потенциала мясомолочной промышленности. В ходе исследования использовались монографические, аналитические и синтезные, статистико-экономические методы. Результаты-проанализированы показатели отрасли животноводства за последние годы по области, в том числе: отражена динамика таких показателей, как получаемая продукция животноводства, численность поголовья скота и птицы, численность племенных хозяйств, их продуктивность, структура производства по категориям сельскохозяйственных структур. На основе проведенного исследования выявлены основные проблемы развития животноводства области, в том числе мелкотоварность, концентрация подавляющей части животноводческой продукции, получаемой в секторе домашних хозяйств населения, значительная доля племенных животных, низкий уровень продуктивности животных, совершенствование субсидирования животноводства, отсутствие ветеринарного контроля за соблюдением законодательства в области ветеринарии, импортозависимость и и т.д. Несмотря на достаточную обеспеченность сырьем и наличие инфраструктуры, сеть объектов переработки (мясного, молочного) развита слабо, имеется дефицит залогового имущества, отсутствуют типовые скотомогильники. Для производства конкурентоспособной продукции животноводческой отрасли необходимо освоение инновационных технологий, что позволит снизить негативное влияние на материальные затраты, эффективно использовать земельные и водные ресурсы.
PROSPECTS FOR REGIONAL FISH FARMING IN THE REPUBLIC OF KAZAKHSTAN
Authors: Айдаралиева Айжамал , Окумбекова Мадина , Базарова Бакытгул
Published: September 2023

Ability to meet the demands of the population in fish and fish products and its food security is one of the most acute problems in the Republic of Kazakhstan.

Objective – the current state of the fisheries of the Republic of Kazakhstan was studied and proposals for the development of the fisheries in the West Kazakhstan region were made.

Methods – statistical methods of data analysis were used to study the state of the fisheries of the Republic of Kazakhstan, and exclusively the catch of fish and other aquatic animals, as well as the dependency of the physical volume of fish farming production from the total amount of products made. 

Results - the study discusses topical issues of the production capacity of fisheries and fish canneries, by types and volumes of output products, economic indicators, as well as by enterprises engaged in the purchase and sale of fish products, wholesale and retail trade, problems of marketing research in the field of fish products production and safety.

Conclusions - creation of the laboratories and fish breeding in autonomous facilities will allow development of the innovative technologies for rearing, preservation, and replenishment of fish resources in water bodies of the region, will provide a training base for the future specialists training, will create prerequisites for preservation and multiplication of fish resources in Kazakhstan, will improve the food security of the country, and will resolve the key problems of the fish industry development.

Artificial fish farming involves interfering with the development of organisms to increase their production, such as regular restocking, feeding, protection from predators, etc.
Generalized Rational Evaluation Subgroups of the Inclusion between Complex Projective Spaces
Authors: Gatsinzi Jean-Baptiste
Published: September 2023

We use a model of mapping spaces to compute the generalized rational Gottlieb groups of the inclusion $i_{n,k}: \mathbb{C}P^n \hookrightarrow \mathbb{C}P^{n+k}$ between complex projective spaces.
Postpartum hemoraji yönetiminde simüle edilmiş öğrenme ortamlarının kullanımı
Authors: AKER Sema , AYDIN KARTAL Yasemin
Published: September 2023

Postpartum hemoraji, tüm dünyada maternal morbidite ve mortalitenin önde gelen, önlenebilir nedenleri arasındadır. Doğum sonu bakım müdahaleleri sırasında postpartum kanamanın risk faktörlerinin tanılanabilmesi, teşhis ve tedavinin erken evrede sağlanabilmesi için oldukça önemlidir. Erken müdahale lohusanın bu süreci minimum hasar ile atlatmasını sağlayacaktır. Literatürde bu durumun ancak etkin eğitim yöntemleri ile yetiştirilmiş sağlık profesyonelleri ile sağlanabileceği vurgulanmaktadır.

Ebelik ve hemşirelik gibi uygulamalı disiplinlerin teorik eğitim çerçevesinin yanında uygulamalı eğitimin simüle öğrenme ortamları ile desteklenmesi büyük öneme sahiptir. Geleneksel eğitim, Web tabanlı, vaka tartışması ve simülasyona dayalı öğretim metotlarının etkinliğinin değerlendirildiği pek çok çalışmada; simülasyona dayalı öğrenim tekniğinin öğrencilerin öğrenme süreçlerini olumlu etkilediği belirlenmiştir. Nitekim, Dünya Sağlık Örgütü, sağlık profesyonellerinin eğitiminde simülasyona dayalı öğrenme tekniklerini önermektedir.

Kadın sağlığının primer sorumluları arasında olan ebelerin eğitiminde etkin simülasyon temelli teknolojilerin kullanılması; ebe adaylarının nitelikli bir öğrenme deneyimi yaşamasına, klinik alanda yeterliliklerinin artmasına dolayısıyla ebelik mesleğinin gelişmesine önemli katkı sağlayacaktır.
An overall review of the global efforts towards the assessment of the quality of primary health care
Authors: EREN Berna
Published: September 2023

The quality of health care has been the subject of research for many years. However, the studies have mostly focused on the problems of clinical medicine, and relatively little work has been done on the quality of primary health care. As the health systems around the world are faced with social, economic, and demographical challenges, countries started to lean towards primary health care which can adapt and respond to an ever-changing world. Quality primary health care is shown to provide accessible, affordable, comprehensive, continuous, coordinated and people-centered care in the community. It plays an important role in ensuring equity in health, reducing morbidity and mortality, optimizing efficient use of resources, achieving better health outcomes, and improving the health of populations. Over the past decades, quality improvement has received increasing attention as a systematic approach guided by scientific evidence-based data; and is regarded the crucial component of health systems strengthening. The global health community has made concrete efforts to improve the quality of health care across primary, secondary and tertiary levels of health systems. Several organizations have developed frameworks and quality indicators to be used as quality assessment tools, and countries have defined their own national frameworks, quality indicators and standards to assess the quality of primary health care. The current study aims to provide a chronological review of the global efforts towards quality assessment in primary health care.
Factors Affecting Capital Structure in Plastics Manufacturing Enterprises in Northern Vietnam
Authors: Nga Nguyen Thi Viet , Binh Nguyen Van
Published: September 2023

There are various perspectives on capital in economics. Some economists argue that capital encompasses all economic factors arranged to produce goods and services, including financial assets, as well as knowledge about the economic and technical aspects of the business. Through practical research conducted in the plastics manufacturing industry in Northern Vietnam, the author identifies the factors influencing the capital structure, including subjective and objective factors. Based on these findings, appropriate solutions are proposed to improve the capital structure within enterprises.
Fogyasztói asszociációk és vásárlási szokások a rövid ellátási láncok kapcsán
Authors: T. Nagy-Pető Dorka , Szakály Zoltán , Kiss Virág Ágnes
Published: September 2023

Az etnocentrikus gondolkodásmód és a helyi termékek minőségének és népszerűségének javulása hatására hazánkban is kezd felértékelődni a rövid ellátási láncok szerepe, fontossága. Azt, hogy egy helyi termék saját közösségében ismertté és elismertté váljon leginkább ezen értékesítési formákon keresztül és/vagy védjegyek segítségével érheti el. Jelen tanulmányban arra kerestük a választ, hogy mit tekintenek a fogyasztók helyinek és mely rövid értékesítési csatornákat ismerik, választják leginkább. Primer kutatásunkat egy 500 fős reprezentatív felmérés keretében végeztük, melynek eredményei rávilágítottak arra, hogy a fogyasztóknak konkrét elképzeléseik vannak arról, mit tekintenek helyi élelmiszernek. Legfontosabb hívószavak (elvárások) ezekkel kapcsolatban a magyar gyártó és munkaerő, illetve a hagyományos gyártási technológia voltak. A helyi élelmiszerek származásának távolsága kapcsán viszont már egészen eltérő számokat kaptunk. Továbbá az egyes rövid ellátási lánctípusok ismertsége is erősen szóródik, mivel csupán három típusa él a fogyasztók fejében, mint általuk használt, potenciális vásárlási opció.
A frontoldali tápértékjelölések fogyasztói megítélése
Authors: Tóth Ildikó , Szakály Zoltán
Published: September 2023

Az egészséges életmód egyik legfontosabb pillére az egészséges tápérték, melyben az FOP-tápértékjelölések támogathatják a fogyasztókat a helyes döntés meghozatalában. A táplálkozással összefüggő civilizációs betegségek világszerte problémát jelentenek. Az egészséges táplálkozás elengedhetetlen az általános jó közérzethez és számos krónikus betegség megelőzéséhez. Különös figyelmet kell fordítani az FOP-tápértékjelölések használatára a krónikus betegségek megelőzése és az egészséges döntéshozatal érdekében. Fontos, hogy az emberek a lehető legegyszerűbben tudják értelmezni az élelmiszerek tápértékét. A csomagolásnak valós és pontos információt kell nyújtania a termékről. A csomagoláson elhelyezett tápértékjelölési rendszereket a lakosság támogatja a fogyasztók tájékoztatásának módjaként, hiteles információforrásként fogadják el. Kutatások alapján az élelmiszerek csomagolásán elhelyezett tápértékjelölési rendszerek ösztönzően hatnak a fogyasztókra, hogy az „egészségesebbnek” vélt változatot részesítsék előnyben, ezzel támogatva az egészséges táplálkozást és életvitelt. A fókuszcsoportos interjúk alapján kijelenthető, hogy a különböző egészségmagatartású fogyasztók eltérő véleménnyel rendelkeznek nemcsak a táplálkozásról, hanem az élelmiszerekről, azok csomagolásáról és a jelölésekről. Az egészségpreventív csoport tagjai már a vásárlások alkalmával is tudatosabban viselkednek, több időt fordítanak az élelmiszer-jelölések megtekintésére, számukra a csomagolás elején elhelyezett tápértékjelölések ismerősek, megbízható forrásnak találják. A nem tudatos csoportban kevesebb időt fordítanak a jelölések megvizsgálására, számukra a csomagolás elején elhelyezett, FOP-tápértékjelölések nem ismertek, azonban pozitívan értékelik a jelöléseket. A fókuszcsoportos interjúk alapján megállapítható, hogy a csomagolás elülső részén elhelyezett jelölési rendszerek bevezetését széles körű fogyasztói oktatási kampánynak szükséges kísérnie, hogy tájékoztassák a nyilvánosságot a címkék megértésének és használatának mikéntjéről.
Moving Target Detection Algorithm for Dynamic Image Sequences on The Basis of Artificial Neural Network
Authors: Jia-Min Zhang Jia-Min Zhang , Jia-Min Zhang Yan-Xia Chen
Published: September 2023

Due to the large changes in dynamic image sequence frames and the complex detection scene, it is difficult to accurately detect moving objects. Therefore, the study proposes a moving target detection algorithm based on artificial neural network. First, the algorithm performs standardized grayscale processing and gamma correction processing on the dynamic image to eliminate the noise interference of the dynamic image. After that, the model calculates the gradient of the dynamic image in order to complete the feature extraction of the dynamic image. Then, according to the result of hog feature extraction, the study adopts the inter-frame calculation method to update the background of the dynamic image. Finally, the principle and structure of the neural network are analyzed experimentally, and a channel attention mechanism is introduced to train dynamic image sequences to obtain MTD results. Experimental results show that the proposed algorithm achieves higher accuracy in MTD than conventional detection algorithms. The calculation efficiency of the algorithm in this paper has significant advantages, and the average detection time is 3.69515ms, which can meet the real-time requirements of MTD.

 
Research on Computer Aided Laboratory Based on Cross-Multiplier Multi-Data Flow Collaborative Algorithm
Authors: Hao Wu Hao Wu , Hao Wu Xiao Xu , Xiao Xu Ninghui Guo , Ninghui Guo Zinan Peng , Zinan Peng Yujia Zhai , Yujia Zhai Sijia Wu
Published: September 2023

The paper develops a set of mobile laboratories based on the grid data cloud platform. The laboratory proposed a multi-data flow cooperative algorithm based on a cross-bus four-layer temporal space model and a cross-directional multiplier. This algorithm achieves the purpose of updating most data streams as a whole. The system establishes a statistical analysis system of data flow from multiple perspectives and mines and monitors multiple data flows. The paper divides most data streams into several linear modules, and corresponding matrices are formed. Finally, the simulated test results of the paper show that the CPU usage of the mobile laboratory computer-aided system based on the power network is very small. The system processing efficiency is high.

 
Animal Vocal Recognition-Based Breeding Tracking and Disease Warning
Authors: Yinggang Xie Yinggang Xie , Yinggang Xie Yangpeng Xiao , Yangpeng Xiao Xuewei Peng , Xuewei Peng Qijia Liu
Published: September 2023

In this study, we investigate the application of a deep learning framework for the recognition of pig vocalizations. This innovative approach aims to actively monitor and evaluate the diverse states of pigs, with an overarching objective to improve the efficiency of pig farming through prompt identification and resolution of issues. In our comprehensive data collection effort, we carefully gathered a vast assortment of vocal samples from 50 pigs, representative of four distinct states: normal, frightened, coughing, and sneezing. We then meticulously analyzed this vocal data using Mel Frequency Cepstral Coefficients (MFCC). For accurate recognition of pig vocalizations, we devised a fusion model that combines the strengths of Residual Networks (ResNet) and Long Short-Term Memory Networks (LSTM). This model was subsequently tailored, trained, and optimized to meet our specific requirements. Upon rigorous evaluation, we found our model to exhibit exceptional performance in pig vocal recognition tasks, thereby reinforcing the potential of deep learning methodologies in revolutionizing the livestock industry. This research notably underscores the potential of deploying efficient real-time health monitoring systems, offering a promising avenue towards modernizing livestock management practices.

 
A Point Cloud Classification Method and Its Applications Based on Multi-Head Self-Attention
Authors: Xue-Jun Liu Xue-Jun Liu , Xue-Jun Liu Wen-Hui Wang , Wen-Hui Wang Yong Yan , Yong Yan Zhong-Ji Cui , Zhong-Ji Cui Yun Sha , Yun Sha Yi-Nan Jiang
Published: September 2023

In the monitoring the safety status of hazardous chemical warehouses by three-dimensional re-construction of deep camera point clouds, there are classification difficulties such as large space, sparse distribution of point clouds in cargo images, and similar distribution in low dimensions. Based on the above problem, a point cloud recognition method based on multi-head attention mechanism is proposed. The algorithm first normalizes the distribution of the point cloud data set through the affine transformation algorithm to solve the problem of sparse distribution. Then, the high-dimensional feature map is obtained by fusing the data down-sampling and curve feature aggregation algorithms to solve the problem of low-dimensional distribution approximation. The feature map is then encoded using a multi-head self-attention encoder to obtain features under different heads, which are then merged into a feature map. Finally, a multi-layer fully connected neural network is used as the decoder to decode the feature map into the final object classification. Comparative experiments were performed on the ModelNet40 dataset and the self-built dataset of warehouse goods, and the results showed that the accuracy of this paper was improved by 0.5% to 7.8% compared with that of other classification algorithms.

 
Machine Vision Based Defect Detection Method for Electronic Component Solder Pads
Authors: Xiaoning Bo Xiaoning Bo , Xiaoning Bo Jin Wang , Jin Wang Honglan Li , Honglan Li Guoqin Li , Guoqin Li Feng Lu
Published: September 2023

This paper proposes a machine vision based solder pad detection method to improve the detection accuracy and efficiency of PCB solder pad defects in electronic components due to missed detection and low detection efficiency. Firstly, preprocess the electronic component pad images collected by the visual system, then use threshold segmentation method to perform preliminary segmentation of the pad images. Then, the coarse segmented images are finely segmented using mean clustering method, and the fine segmented images are pixel edge extracted. Finally, the matrix subpixel edge detection method is used to improve the edge detection accuracy. Simulation experiments have shown that the proposed method can significantly improve the accuracy and speed of defect recognition.

 
Method for Predicting and Evaluating Post Earthquake Damage of Urban Buildings Based on Artificial Intelligence Algorithms
Authors: Jian-Ming Yu Jian-Ming Yu , Jian-Ming Yu Ke Zhang , Ke Zhang Jian-Zhong Zhang , Jian-Zhong Zhang Feng Xue , Feng Xue Wei Liu
Published: September 2023

This article mainly focuses on the damage assessment of buildings after earthquakes. Firstly, a structural damage model was established based on most reinforced concrete buildings and described using a function. Then, a BP neural network was used to solve the function. Traditional neural networks are prone to falling into local optima. Therefore, in order to improve the performance of neural networks, cross fusion with genetic algorithms is used to avoid falling into local optima, Improve the efficiency of the algorithm. Finally, through experimental verification, the proposed method can quickly evaluate the damage of building structures, with an accuracy rate of 97%.

 
Intelligent Object Avoidance Method Design of Railroad Inspection Robot Based on Particle Swarm Algorithm
Authors: Xiaoxin Guo Xiaoxin Guo , Xiaoxin Guo Xintai Liu , Xintai Liu Haixia Liu
Published: September 2023

In order to make the railroad inspection robot better adapt to its complex working environment, it is especially important to study the robot object avoidance algorithm. The WOA algorithm has simple and understandable structure and strong optimization ability but is prone to local convergence. IWOA-PSO is used for railway inspection robots. The performance of IWOA-PSO in the experimental results is better than that of WOA and PSO, and the average accuracy and standard deviation of the IWOA-PSO can better reach the theoretical optimal value in the function tests, and it has performance close to the theoretical value. In the simple environment object avoidance route planning, the minimum path length of IWOA-PSO is 850 mm, which is 53.6% less than that of the PSO algorithm, and the search time is 13.12 seconds, which is 5.11 seconds less than that of PSO algorithm; in the ordinary environment object avoidance route planning, the minimum path length of IWOA-PSO is 830 mm, while the path length of PSO algorithm is 1339 mm, the former is 38% less than the latter, and the search time of IWOA-PSO is 14.05 seconds less than PSO algorithm, so the method has better effect on object avoidance.

 
Deep Collaborative Filtering System
Authors: Xin-Yi Wang Xin-Yi Wang , Xin-Yi Wang Hao-Ran Sun , Hao-Ran Sun Xu-Yang Yin , Xu-Yang Yin Chun-Zi Li , Chun-Zi Li Sheng-Yu Liu
Published: September 2023

Collaborative filtering-based models can use the interaction between users and products or the correlation between users and users, and between products and products. However, methods based on collaborative filtering can only grasp one type of relationship and still cannot fully fit. Various factors influencing user preferences make a lot of redundant information still not filtered out. We proposals a collaborative filtering model based on deep learning, which combines the item-item relationship learning in advance with a neural collaborative filtering network to effectually make recommendations. In the initial stage, learn low-dimensional vectors of compartments, and embed information that reflections the co-occurrence relationship between compartments. The prediction stage combines the trained embedding vector with the embedding vector of the module as a correction to the output result of the neural network. The benchmark data set MovieLens 1M is the experienced data set of this article, and the effectiveness of this method is verified on the data set. The experienced results are compared with some advanced methods on the data set. The results show that the model proposed in this paper is better than some methods based on collaborative filtering.

 
系統動態學運用於陸軍3.5噸載重車維保策略之探討
Authors: 方苡馠 方苡馠 , 呂宗翰 呂宗翰
Published: September 2023

戰術車輛為國軍重要裝備之一，從平時的人員或物資運補作業，乃至戰時的作戰與勤務支援，可有效增強部隊整體效能，因此，戰術車輛之運載能力、機動能力及妥善率，乃遂行任務之關鍵。

本研究透過文獻探討及專家訪談建構3.5噸載重車維保策略之動態模型，取得影響3.5噸載重車維保效益的關聯變數，藉以模擬及量化分析其系統行為及效益的趨勢變化，提供管理者相關政策指導或精進建議。

現行3.5噸載重車維保策略，可透過縮短待料時間、提升備料精準度及適切人力資源配當等要項，使系統在有限的國防資源及組織精簡的狀況下，發揮較高之成本效益。經研究發現，料件籌獲時間縮短為1個月，可將備料滿足率提升至100%，並使修護人力滿足率調整至90%，俾利3.5噸載重車於各項任務中發揮實效，有效提升成本效益。
民間航運與海上武裝民兵―侵臺後勤骨幹
Authors: 劉宗翰 劉宗翰
Published: September 2023

多數軍事觀察家針對解放軍對臺威脅之分析認為，解放軍無法入侵臺灣，係缺乏足量的登陸艦載運充足的部隊和裝備橫渡臺灣海峽。然本研究挑戰前述論點，主張解放軍企圖藉由徵用海上民兵操作民用船舶以滿足渡海載運需求。

自2000年以來，中共當局和解放軍採取加強國防動員體系的措施，確保軍隊擁有足夠數量且受過訓練之民兵力量，以支撐侵臺渡海作戰。儘管存在諸多挑戰，包括資訊管理不力、訓練水準參差不齊、監管制度之漏洞及與外籍中資商船相關的不確定性，然此種作戰理念可能足以支持大規模的兩棲攻擊行動。

依賴海上民兵和動員民用船舶，將更添複雜性及不確定性。不論成功與否，入侵臺灣不僅將是史上最雄心勃勃的登島作戰之一，更無疑是有史以來，最大規模的民用船舶動員以支援軍事行動，遠超過敦克爾克大撤退的民用船舶數量和福克蘭戰爭的噸位。由此可知，民兵後勤支援乃侵臺行動成敗之關鍵。

 
Introduction to Redesigning Modernities I: Infrastructures, Ecologies, and Emancipatory Openings
Authors: Townsend Sarah J.
Published: September 2023

This article provides an introduction to Redesigning Modernities I, the first of two special issues that grew out of the Redesigning Modernities project led by Penn State’s School of Global Languages, Literatures, and Cultures. The article explains the aims of the larger project, which seeks to encourage complementary and collaborative research agendas among faculty and graduate students, develop new curriculum and innovative course designs, and generate materials for inclusion in the university’s Open Educational Resources (OER) archive. This introduction also situates the first workshop, held in summer 2020, in the context of the pandemic’s early days as a way of explaining the recurring threads that connect the contributions to this issue: infrastructures, ecologies, and emancipatory openings. Finally, it presents the lineup of pieces in this issue: a dossier on Ecologies, Foodways, and Commodity Chains composed of four short pieces; an interview with the Brazilian graphic novelist Marcelo D’Salete along with a prefatory text drawing connections between his Angola Janga (2017) and the U.S. writer Gayl Jones’s Palmares (2020); and four full-length articles on diverse media (short videos/vlogs, a series of experimental novels, the ideas of a feminist philosopher and performer, and a cult classic film).