bluuebunny/crossref_metadata_2025 huggingface dataset:
ЕЛЕМЕНТИ БІОЛОГІЗАЦІЇ ЯК ЗАСІБ ПОЛІПШЕННЯ ТЕХНОЛОГІЧНИХ ПОКАЗНИКІВ ТА ЯКІСНОГО СКЛАДУ ЗЕРНА ПШЕНИЦІ ОЗИМОЇ В УМОВАХ ЗАХІДНОГО ЛІСОСТЕПУ
Authors: Хоміна В. Я. , Шейко Д. В.
Published: August 2023

У сучасних системах ведення землеробства використання значної кількості хімічних препаратів призвело до появи деградованих агроценозів, погіршення якості вирощеної продукції, тому впровадження у технології вирощування біологічних препаратів може частково знизити хімічне навантаження на поля, підвищити врожайність, поліпшити якість продукції та у цілому сприяти покращенню екологічного стану довкілля. Метою наших досліджень була оцінка якісних показників зерна сортів пшениці озимої залежно від способів застосування біологічно активних препаратів в умовах Західного Лісостепу. У статті наведено результати польових та лабораторних досліджень впливу біологічно активних препаратів Триходермін, Агат 25 К та ПМК-ЗР за різних способів їх застосування (обробка насіння, обприскування посівів, обробка насіння + обприскування посівів) на масу 1 000 зерен, міст білка та сирої клейковини в зерні різних сортів пшениці озимої за вирощування в умовах Західного Лісостепу. За результатами трирічних досліджень виявлено більш адаптовані до умов зони вирощування та більш продуктивні сорти пшениці озимої. Установлено більш ефективний спосіб застосування біологічно активного препарату в розрізі сортів та математично підтверджено їхній вплив на показники якості зерна. Визначено, що досліджувані препарати та способи обробки вплинули на масу 1 000 зерен із перевищенням контролів на 0,1–2,0 г. Найбільш ваговитим зерном характеризувався сорт пшениці озимої Кубус: на контрольних варіантах показник маси 1 000 зерен у середньому за роки досліджень становив 45,3 г. Проте реакцію на біопрепарати краще виявив сорт Здобна: обробка насіння біопрепаратом Триходермін сприяла підвищенню показника на 1–1,5 г, а обприскування вегетуючих рослин та дворазова обробка (насіння + посів) – на 1,8–2,0 г, тоді як на сортах Аріївка та Кубус показник підвищився відповідно на 0,7 та 0,5–1,0 г. Установлено, що досліджувані сорти пшениці характеризувалися різним умістом білка, на контролях показник становив у розрізі сортів: Аріївка – 13,1%, Здобна – 13,5 та Кубус – 11,0%. Найбільший ефект від застосування біопрепаратів був у сорту Аріївка на варіанті обприскування посівів та дворазової обробки (насіння + посів), показник становив 13,8–14,0%, тобто з перевищенням контролю на 0,7–0,9%. Результатами аналізів доведено, що максимальний уміст сирої клейковини був у сорту Здобна, а найменший – у сорту Кубус. Сорт пшениці озимої Аріївка щодо впливу біологічних препаратів на вміст клейковини виявився найбільш пластичним, оскільки перевищення контролів становило 0,4–1,5%.
РЕСУРСОЗБЕРІГАЮЧЕ ТА ЕКОЛОГІЧНЕ ЗНАЧЕННЯ БІОЛОГІЧНОЇ АЗОТФІКСАЦІЇ КВАСОЛІ ЗВИЧАЙНОЇ
Authors: Цибрій-Сівак Н. В. , Бахмат М. І.
Published: August 2023

Сучасні світові напрями формування продовольчих ресурсів повинні спрямовуватися на вирішення проблеми білка. Зменшення виробництва високобілкових продуктів харчування тваринного походження, а також висока собівартість їх виробництва зумовлюють необхідність збільшення виробництва білка рослинного походження, у тому числі за рахунок квасолі, попит на яку в останні роки значно зріс. Квасоля сьогодні є однією з найприбутковіших сільськогосподарських культур. Високі темпи виробництва квасолі звичайної та зростаючий попит на ринку України допоможуть вирішити завдання щодо збільшення виробництва зерна з умістом рослинного білка, а також поповнення запасів ґрунту атмосферним органічним азотом та стабілізації економіки у цілому.
World Peace and How We Can Achieve It by Alex J. Bellamy
Authors: Nauman Gul
Published: August 2023

In "World Peace and How We Can Achieve It," Alex J. Bellamy navigates the enduring nature of mankind and its interlinkages with conflicts and peace. From the Stone Age's survival-driven struggles to contemporary global dynamics, Bellamy examines the interplay between our innate warmongering instincts and the promise of worldwide peace. Delving into the role of international institutions, he spotlights the transformative impact of International Law and the complexities of peacekeeping efforts amidst shifting intrastate challenges. Bellamy also exposes the economic underpinnings of war, unveiling how elite groups thrive on conflict. Moreover, he discussed the emergence of nation-states, which turned out as both creators and potential mediators of peace, anchoring his analysis in the intricate blend of power dynamics and human nature. Amidst these complexities, Bellamy's work champions collaborative global efforts and the pivotal roles of institutions and nation-states in shaping a more hopeful, stable future.
Expertentreffen an der Elbe
Authors: Upmeyer Hans-Jürgen
Published: August 2023

Die 20. Veranstaltung der Hamburger Logistiktage (HLT) fand am 24./25. Mai mit rund 300 Besucher*innen im Beach Club Hamburg statt. Wie immer ein Event, das innovative Lösungen in der Logistik im Kontext mit Wirtschaftsentwicklung und Gesellschaftstrends positioniert und dabei den Menschen mit seinen Bedürfnissen und Potenzialen in den Mittelpunkt rückt. Zum 20. Geburtstag des Kinderhospizes Sternenbrücke, das sich seit 2009 um lebensbegrenzt erkrankte Kinder und Jugendliche kümmert, haben sich die Veranstalter Jörg Hermsmeier und Dirk Lange etwas Besonderes in Form der „Team-Olympiade“ ausgedacht. Die am „Wettbewerb“ teilnehmenden Teams spendeten ihr Antrittsgeld zugunsten des Kinderhospizes. Den Olympioniken standen mit Britta Heidemann, Olympiasiegerin im Fechten und Thomas Helmer, ehemaliger Fußball-Nationalspieler und Europameister, kompetente Unterstützung während ihrer „Wettkämpfe“ zur Seite.
Wann kommt die grüne Energiewende nach Deutschland?
Authors: Friese Matthias
Published: August 2023

In der Ära des Klimawandels und der Energiewende gewinnt die Wasserstofftechnologie zunehmend an Bedeutung. Als vielseitiger und umweltfreundlicher Energieträger bietet Wasserstoff ein enormes Potenzial für eine nachhaltige und klimafreundliche Energieversorgung. Die Frage, wie Wasserstoff vom Produktionsort zu den Verbraucher:innen gelangt, steht dabei im Mittelpunkt der Wasserstofflogistik. Diese umfasst die Planung, Organisation und Durchführung aller Prozesse, die erforderlich sind, um Wasserstoff sicher, effizient und zuverlässig zu transportieren, zu lagern und zu verteilen. Aspekte wie Infrastruktur, Kosten und Sicherheit spielen dabei eine entscheidende Rolle.
TARGET SITUATION ANALYSIS FOR ELECTRONICS INDUSTRIRES STUDIES AT VOCATIONAL HIGH SCHOOL
Authors: Adriansyah Adriansyah
Published: August 2023

Penelitian ini bertujuan untuk menganalisis target situasi yang sesuai dengan keinginan siswa dalam belajar bahasa Inggris pada jurusan Elektronika Industri. Peneliti menggunakan penelitian kualitatif untuk mengetahui target situasi yang sesuai dengan keinginan siswa dalam belajar bahasa Inggris yang bermanfaat untuk pengembangan model dan isi pembelajaran kedepannya guna tercapainya target situasi yang sesuai dengan keinginan siswa. Sumber data dalam penelitian ini adalah keinginan siswa. Peneliti menggunakan angket untuk mengetahui keinginan siswa dan juga wawancara untuk mengetahui keinginan siswa yang sebelumnya tidak tersampaikan dengan melalui angket. Berdasarkan hasil analisis, peneliti menemukan tujuh data target situasi yang sesuai dengan keinginan siswa. Siswa memiliki keinginan yang kuat untuk belajar bahasa Inggris guna mendukung kemampuannya di industri kerja. Siswa memiliki keinginan kuat untuk baik dalam hal berbicara bahasa Inggris guna untuk meningkatkan kecakapan mereka dalam berkomunikasi.  Siswa menginginkan metode pembelejaran dan penilaian presentation agar dapat melatih kecakapan dan mental mereka dalam berbicara bahasa Inggris. Siswa juga menginginkan untuk menggunakan full English selama pembelajaran dan mengedepankan konteks Elektronika Industri untuk keseluruhan pembelajaran bahasa Inggris karena siswa menginginkan dapat bekerja di pabrik industri yang sesuai dengan jurusan mereka bersekolah saat ini. Data yang didapatkan bisa digunakan untuk mengembangkan metode dan isi pembelajaran di jurusan Elektronika Industri agar tercapainya target situasi yang sesuai dengan kebutuhan keinginan siswa.
PENGGUNAAN BUKU CERITA FABEL DENGAN MODEL QUANTUM LEARNING DALAM PEMBELAJARAN MEMBACA PERMULAAN DI SEKOLAH DASAR
Authors: Nahak Kristina E. Noya , Naitili Cornelia Amanda
Published: August 2023

The present study investigates the low level of early reading skills among first-grade students at Oetona Public Elementary School, as evidenced by their difficulties in letter and syllable spelling as well as distinguishing letter forms. Additionally, students exhibit a lack of enthusiasm when reading sentences or short stories found in books or written by the teacher on the whiteboard. To address this issue, the utilization of Fable Storybooks with the Quantum Learning Model in early reading instruction for first-grade students at Oetona Public Elementary School was introduced, aiming to make a positive contribution to the development of students' early reading skills. The research employed a qualitative approach with a descriptive design. The findings of the study indicate that the implementation of Fable Storybooks with the Quantum Learning Model has a positive impact on students' early reading abilities. The majority of the students achieved a level of "excellent" in their early reading skills. The results and analysis demonstrate that the use of Fable Storybooks with the Quantum Learning Model contributes significantly to the improvement of students' early reading outcomes. Students displayed high enthusiasm and imagination during the learning process and demonstrated notable progress in their reading abilities
TANTANGAN IMPLEMENTASI KURIKULUM MERDEKA BAGI GURU SEKOLAH DASAR DI WILAYAH PEDESAAN PULAU SUMBA
Authors: Tanggur Femberianus Sunario
Published: August 2023

Kurikulum merdeka mendorong guru untuk meningkatkan kompetensi pedagogik dalam melakukan tahapan dalam proses asesmen diagnostik agar dapat mengidentifikasi atau mengetahui karakteristik, kondisi kompetensi, kekuatan, dan kelemahan model belajar peserta didik sehingga pembelajaran dapat dirancang sesuai dengan kompetensi dan kondisi peserta didik yang beragam. Tujuan penelitian yaitu untuk mengetahui tantangan yang dihadapi guru dalam menerapkan kurikulum merdeka di sekolah dasar wilayah pedesaan pulau Sumba. Jenis penelitian ini adalah kualitatif  dengan pendekatan deskriptif. Penelitian ini menggunakan tiga teknik pengumpulan data yaitu, Observasi terlibat (partisipatory research),Wawancara (Intervierw) dengan penggunaan pedoman (interview guide). Hasil penelitian adalah Pertama, Guru belum memahami esensi dari perangkat pembelajaran pada setiap komponen seperti CP (Capaian Pembelajaran),TP (Tujuan pembelajaran) dan ATP (Alur Tujuan Pembelajaran) sehingga kesulitan dalam menjabarkan TP dari CP yang sudah ditentukan dalam desain kurikulum merdeka dan menyusun ATP dari TP. Tingkat pemahaman esensi komponen kurikulum yang rendah, minimnya refrensi tentang kurikulum merdeka bagi sekolah dasar. Kedua, tantangan proses pembelajaran berdiferensiasi dalam kurikulum merdeka, guru belum dapat menganalisis karakteristik masing-masing individu siswa, latar belakang siswa dari beraneka ragam seperti latar belakang keluarga, lingkungan, gaya belajar, minat dan bakat, serta penguasaan materi prasyarat, menyulitkan guru dalam menganalisis karakter siswa agar dapat menyusun rancangan pembelajaran (Asesmen diagnostik). Minimnya alokasi waktu pada setiap jadwal pembelajaran juga berdampak pada kesulitan guru dalam melakukan asesmen diagnostik bagi siswa dan melakukan kegiatan pembelajaran, guru kesulitan menentukan metode yang dipakai untuk menfasilitas pembelajaran sesuai kebutuhan siswa.
The RT-PCR additional value in detecting periodontal pathogens in periodontitis patients
Authors:   Department of Periodontology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania, Soanca Andrada , Roman Alexandra ,   Department of Periodontology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania, Micu Iulia Cristina ,   Department of Periodontology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania, Picos Andrei ,   Department of Prevention in Dental Medicine, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania, Pascu Laurentiu Catalin ,   Department of Prosthodontics, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania, Stanomir Alina ,   Department of Periodontology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania, Ciurea Andreea ,   Department of Periodontology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
Published: August 2023

Objectives. The aim of this study was to evaluate the prevalence of selected bacterial species from periodontal pockets samples in a group of young adult periodontitis patients and explore the additional value of the Real-Time Polymerase Chain Reaction (RT-PCR) assay. Material and Methods. Patients with periodontitis diagnosis and good general health were included in the study after a complete periodontal examination and following the inclusion/exclusion criteria. Samples from the deepest periodontal pockets were collected, and RT-PCR assay was performed in a private laboratory in order to identify eleven bacterial strains associated with periodontitis. The patient’s report provided the bacterial pathogen load quantified according to the detection threshold and classified as negative, weakly positive, positive, or intensely positive. Results. The RT-PCR assay detected periodontal pathogens, and their prevalence could be calculated based on the test report. The red complex bacteria were detected in all patients with the highest counts. Alongside the orange complex bacteria were also detected in periodontitis patients. A. actinomycetemcomitans remained undetected in our study. Conclusions. The RT-PCR technique proved to be a useful and easy approach for identifying and quantifying subgingival periodontal pathogens in periodontitis patients. RT-PCR testing may facilitate accurate diagnosis and prognosis as well as successful treatment.
MRI-guided stereotactic ablative radiation therapy for metachronously recurrent pulmonary oligometastases from hepatocellular carcinoma after failure of systemic therapy
Authors:   Department of Radiation Oncology, Tokyo-Edogawa Cancer Centre, Edogawa Hospital, Tokyo, Japan, Hama Yukihiro , Tate Etsuko ,   Department of Radiation Oncology, Tokyo-Edogawa Cancer Centre, Edogawa Hospital, Tokyo, Japan
Published: August 2023

Objectives. This article aims to evaluate the feasibility and effectiveness of MRI-guided stereotactic ablative radiotherapy (SABR) for metachronously recurrent pulmonary oligometastases from hepatocellular carcinoma (HCC) when systemic therapies prove ineffective. Case Presentation. A 47-year-old male with metastatic HCC underwent unsuccessful chemotherapy, targeted therapy, and immunotherapy. The patient had a history of 14 lung metastases, previously treated with respiratory non-gated SABR. However, five new lung metastases emerged, raising concerns about potential pulmonary toxicity. After administering oral capecitabine, tumor growth persisted. To address this, the patient received MRI-guided respiratory-gated SABR using a recently installed system. Outcome. MRI-guided respiratory-gated SABR was well-tolerated, with no radiation-induced adverse events reported during treatment and a six-month follow-up period. Imaging follow-up demonstrated complete tumor regression, and no new recurrences were observed. Conclusions. This case report suggests that MRI-guided SABR could be a viable option for managing metachronously recurrent pulmonary oligometastases from HCC, particularly after failed systemic therapies. The precise targeting achieved with minimal toxicity, utilizing a 1 mm margin without an internal target volume, showcases the potential of this approach. However, further scientific investigation is warranted to validate these findings, given the limited scope of this single case report. Nonetheless, MRI-guided SABR holds promise as a safe and effective local treatment modality for lung metastases in HCC patients.
GESTÃO DA PROPRIEDADE INTELECTUAL: UMA REVISÃO DA LITERATURA
Authors: Ferreira Juliana Duarte , Teixeira Clarissa Stefani
Published: August 2023

O objetivo deste estudo foi realizar uma revisão sistemática da literatura sobre a temática de gestão da propriedade intelectual, com documentos dispostos na Web of Science, a partir de uma análise bibliométrica e uma análise de conteúdos. A análise bibliométrica resultou em vinte documentos, dos quais foram verificados título, ano de publicação, autoria, periódicos/eventos, país, instituições de ensino e palavras-chave. A revisão de conteúdos dos documentos selecionados compreendeu os assuntos relacionados à gestão da propriedade intelectual. Dentre os resultados, pela análise bibliométrica, constatou-se que a maioria dos trabalhos é do ano de 2019, possui mais de um autor, foi publicada em diversos periódicos e eventos e os autores são de países e instituições variadas. Por meio da análise de conteúdos, visualizou-se que os trabalhos possuem diferentes perspectivas sobre a gestão da propriedade intelectual e a maioria tratou-se de estudos de casos.
O LIMITE AOS JUROS REMUNERATÓRIOS NOS RECURSOS NÃO CONTROLADOS DO CRÉDITO RURAL
Authors: Lima Pâmela Inês de , Alves André Luiz Aidar
Published: August 2023

O principal instrumento da política agrícola nacional é o crédito rural o qual é controlado pelo Conselho Monetário Nacional que divide os recursos unitizados para o financiamento do agronegócio em dois grupos: recursos controlados e recursos não controlados. Sobre estes últimos, também chamados de recursos livres, pende discussão jurídica acerca do percentual máximo permitido à taxa de juros remuneratórios, firmando-se três posições distintas: 12% ao ano, 9% ao ano ou ausência de limitação a partir do ano de 2013.
Convolutional Neural Networks for Automated Diagnosis of Diabetic Retinopathy in Fundus Images
Authors: S. Rama Krishna  , Cherukuri Naresh , Kumar Y Dileep , Jayakarthik R , Nagarajan B , Balaram Allam , Jyothi G Divya
Published: August 2023

Diabetic retinopathy (DR), a long-term complication of diabetes, is notoriously hard to detect in its early stages due to the fact that it only shows a subset of symptoms. Standard diagnostic procedures for DR now include OCT and digital fundus imaging. If digital fundus images alone could provide a reliable diagnosis, then eliminating the costly optical coherence tomography would be beneficial for all parties involved. Optometrists and their patients will find this useful. Using deep convolutional neural networks, we provide a novel approach to this problem. Our approach deviates from standard DCNN methods by exchanging typical max-pooling layers with fractional max-pooling ones. In order to collect more subtle information for categorisation, two such DCNNs, each with a different number of layers, are trained. To establish these limits, we use deep convolutional neural networks (DCNNs) and features extracted from picture metadata to train a support vector machine classifier. In our experiments, we used information from Kaggle's open DR detection database. We fed our model 34,124 training images, 1,000 validation examples, and 53,572 test images to train and test it. Each of the five classes in the proposed DR classifier corresponds to one of the steps in the DR process and is given a numeric value between 0 and 4. Experimental results show a higher identification rate (86.17%) than those found in the existing literature, indicating the suggested strategy may be effective. We have jointly developed an algorithm for machine learning and accompanying software, and we've named it Deep Retina. Images of the fundus acquired by the typical person using a portable ophthalmoscope may be instantly analyzed using our technology. This technology might be used for self-diagnosis, at-home care, and telemedicine.
The Dependence of Iron-rich Metal-poor Star Occurrence on Galactic Environment Supports an Origin in Thermonuclear Supernova Nucleosynthesis
Authors: Reeves Zachary , Schlaufman Kevin C. , Reggiani Henrique
Published: August 2023

It has been suggested that a class of chemically peculiar metal-poor stars called iron-rich metal-poor (IRMP) stars formed from molecular cores with metal contents dominated by thermonuclear supernova nucleosynthesis. If this interpretation is accurate, then IRMP stars should be more common in environments where thermonuclear supernovae were important contributors to chemical evolution. Conversely, IRMP stars should be less common in environments where thermonuclear supernovae were not important contributors to chemical evolution. At constant [Fe/H] ≲ −1, the Milky Way’s satellite classical dwarf spheroidal (dSph) galaxies and the Magellanic Clouds have lower [α/Fe] than the Milky Way field and globular cluster populations. This difference is thought to demonstrate the importance of thermonuclear supernova nucleosynthesis for the chemical evolution of the Milky Way’s satellite classical dSph galaxies and the Magellanic Clouds. We use data from the Sloan Digital Sky Survey Apache Point Observatory Galactic Evolution Experiment and Gaia to infer the occurrence of IRMP stars in the Milky Way’s satellite classical dSph galaxies η
dSph and the Magellanic Clouds η
Mag, as well as in the Milky Way field η
MWF and globular cluster populations η
MWGC. In order of decreasing occurrence, we find

η

dSph

=

0.07

−
0.02

+
0.02

,

η

Mag

=

0.037

−
0.006

+
0.007

,

η

MWF

=

0.0013

−
0.0005

+
0.0006

, and a 1σ upper limit η
MWGC < 0.00057. These occurrences support the inference that IRMP stars formed in environments dominated by thermonuclear supernova nucleosynthesis and that the time lag between the formation of the first and second stellar generations in globular clusters was longer than the thermonuclear supernova delay time.
The Fine-scale Structure of Polar Coronal Holes
Authors: Morton R. J. , Cunningham R.
Published: August 2023

Coronal holes are thought to be composed of relatively broad columnar structures known as plumes. Here, we demonstrate that the plumes (and interplumes) in polar coronal holes are composed of fine-scale filamentary structure, with average scales of 2″–10″. The fine structure is the off-limb analog of the previously found “plumelets” of Uritsky et al. The off-limb observations enable an examination of the fine structure without the influence of the underlying atmosphere along the line of sight. Hence, we show that the fine-scale structure is present at least until the edge of the field of view of the Solar Dynamics Observatory. The fine structure is found to have spatial distribution that follows a k
−1 power law perpendicular to the inferred magnetic field direction. For a small sample of the fine structure, the cross-sectional profiles are measured as a function of height. In some cases, the measurements indicate that the fine structure expands super-radially, consistent with existing models of polar field expansion and the expansion of the plumes. We discuss the implications of the presence of the fine structure with respect to understanding wave propagation in the coronal holes and their contribution to powering the solar wind.
Improving Distances to Binary Millisecond Pulsars with Gaia
Authors: Moran Abigail , Mingarelli Chiara M. F. , Bedell Megan , Good Deborah , Spergel David N.
Published: August 2023

Pulsar distances are notoriously difficult to measure, and play an important role in many fundamental physics experiments, such as pulsar timing arrays. Here, we perform a cross-match between International PTA pulsars (IPTA) and Gaia's Data Release 2 (DR2) and Data Release 3 (DR3). We then combine the IPTA pulsar’s parallax with its binary companion’s parallax, found in Gaia, to improve the distance measurement to the binary. We find seven cross-matched IPTA pulsars in Gaia DR2, and when using Gaia DR3 we find six IPTA pulsar cross-matches but with seven Gaia objects. Moving from Gaia DR2 to Gaia DR3, we find that the Gaia parallaxes for the successfully cross-matched pulsars improved by 53%, and pulsar distances improved by 29%. Finally, we find that binary companions with a <3.0σ detection are unreliable associations, setting a high bar for successful cross-matches.
Pedestrian re-identification based on attention mechanism and Multi-scale feature fusion
Authors: Liu Songlin , Zhang Shouming , Diao Zijian , Fang Zhenbin , Jiao Zeyu , Zhong Zhenyu
Published: August 2023

Existing pedestrian re-identification models generally have low pedestrian retrieval accuracy when encountering factors such as changes in pedestrian posture and occlusion because the network cannot fully express pedestrian feature information. Therefore, this paper proposes a method to address this problem by combining the attention mechanism with multi-scale feature fusion, and combining the proposed cross-attention module with the ResNet50 backbone network. In this way, the ability of the network to extract strong salient features is significantly improved; at the same time, using the multi-scale feature fusion module to extract multi-scale features from different depths of the network, achieving the complementary advantages between features through feature addition, feature concatenation and feature weight selection. In addition, a feature enhancement method and an efficient pedestrian retrieval strategy are proposed to jointly promote the accuracy of pedestrian retrieval from both the training and testing levels. When tested on the occluded pedestrian recognition datasets Partial-REID and Partial-iLIDS, the accuracy of this method reached 70.1% and 65.6% on the Rank-1 indicator respectively, and 82.2% and 80.5% on the Rank-3 indicator respectively. At the same time, it also achieved high recognition accuracy when tested on the Market1501 dataset and DukeMTMC-reid dataset, reaching 95.9% and 89.9% on the Rank-1 indicator respectively, 89.1% and 80.3% on the mAP indicator respectively, and 67% and 46.2% on the mINP indicator respectively. It can be seen that this method has achieved good results in solving the above problems.
Espaces de grève ? Géographie des conflits du travail dans la grande distribution belge contemporaine
Authors: Gutiérrez Florez Laura , Orban Alexandre
Published: August 2023

Le présent article a permis de mettre en évidence les résultats d’une étude sur la géographie de cinq mouvements de grève dans la grande distribution belge contemporaine, chez Delhaize (2014, 2017), Carrefour (2018), Lidl (2018) et Mestdagh (2018). Dans un premier temps, l’analyse s’est portée sur les dynamiques spatiales des différents conflits. Des tendances communes émergent, telles que des contrastes interrégionaux entre Flandre et Wallonie, des différences intrarégionales autour de zones telles que le sillon Sambre-et-Meuse, ainsi qu’une conflictualité se concentrant de manière générale dans les agglomérations urbaines. Dans un second temps, l’étude a tenté de discuter la question des facteurs explicatifs de la variabilité spatiale des mouvements de grève dans la grande distribution contemporaine. Nous avons d’abord tenté de comprendre si cette géographie des conflits était spécifique au secteur de la grande distribution. Par la suite, nous avons cherché à mettre en lumière le poids historique des structures socio-économiques et politiques sur la propension à faire grève ainsi que celui des structures syndicales et de facteurs subjectifs.
Gouverner par le hasard : le tirage au sort des provinces à Rome (IIIe s. av. J.-C.-Ier s. ap. J.-C.)
Authors: Bothorel Julie
Published: August 2023

Le tirage au sort ne fut jamais une spécificité des régimes démocratiques. À rebours d’une idée reçue, cette procédure, appelée sors ou sortitio en latin, occupait une place centrale dans la vie publique de la Rome républicaine et impériale, bien que le système politique de cette cité devenue un Empire ne fut jamais une démocratie. Si le recours au tirage au sort était fréquent dans la sphère privée ou dans les sanctuaires oraculaires, il était aussi au cœur du fonctionnement des institutions et servait à sélectionner des citoyens ou à répartir entre eux des fonctions. Ce livre retrace l’histoire, de l’époque médio-républicaine à l’époque augustéenne, de l’un des tirages au sort civiques les plus cruciaux pour la cité romaine : celuides provinces,qu’effectuaient consuls et préteurs en exercice, puis sortis de charge. Cette sortitio permettait de répartirle commandement des armées et les principales tâches juridiques, judiciaires et administratives à Rome et dans l’empire romain entre les magistrats curules, tout en limitant les effets délétères de la compétition aristocratique et la corruption. L’enquête, qui s’appuie sur un corpus mêlant sources littéraires, épigraphiques, numismatiques et archéologiques, cherche à restituer, d’une part,les règles qui encadraient cette procédure, c’est-à-dire l’ensemble des coutumes, lois, sénatus-consultes, qui réglaient l’attribution des provinces par le sort, et, d’autre part, la manière dont le rituel était effectué et perçu. Plus largement, c’est une réflexion sur la place et le rôle qui étaient réservés au hasard dans la vie et la culture politiques romaines, et sur les significations religieuses et sociopolitiques que lui prêtaient les Romains, qui est ici proposée.
IDENTIFICATION OF EFFECTIVE GENES OF MULTIPLE CANCERS USING NEURAL NETWORK
Authors: Fouladlou Saeideh , Rajabioun Mehdi , Hashemian Darya Bahojb
Published: August 2023

Cancer is a major health concern that affects a significant number of people worldwide and can often result in fatalities. Therefore, there is a growing need to develop effective approaches for early diagnosis and classification of different types of cancer. Early detection of cancer is crucial for prompt and accurate treatment. Thus, researchers have been working to identify non-invasive and precise methods for the early diagnosis, monitoring, and control of cancer. Leukemia and prostate cancer are two of the most common types of cancer globally. Microarray data analysis has become a valuable tool for diagnosing and classifying different types of cancerous tissues. To improve the accuracy of diagnosis, hybrid algorithms and neural networks are being employed. This paper provides a review of different biomarkers for leukemia and prostate cancer and proposes a novel method for distinguishing between the two cancers. The proposed method includes appropriate gene selection, a new hybrid model, and differential analysis of microarray data to create a diagnostic tool. The results indicate that the proposed algorithm is highly accurate and efficient in selecting a small set of valuable genes to improve classification accuracy. In conclusion, the accurate diagnosis and classification of cancer are essential for timely and effective treatment. The proposed method can contribute to the development of a reliable diagnostic tool for leukemia and prostate cancer, and the application of microarray data and hybrid algorithms can be useful for diagnosing other types of cancer as well.
Accessing STEM Education Through Assistive Technology
Authors: Wilson Elaine , Chesney Sarah
Published: August 2023

The chapter gives an overview of a model of STEM that is being utilized in pre-service teacher preparation. This model draws on educational research in learning theory and inquiry-based learning and teaching and works to frame the criteria for quality STEM learning experiences. Understanding the vision for STEM education will illuminate the issues and possible strategies for using assistive technology in inclusive STEM classrooms. The chapter also provides examples of implementing various assistive technologies—no/low-tech devices, mid-tech devices, and high-tech devices—and examples of mixed and extended reality technologies that could be used in inclusive STEM education.
Low Tech Used to Promote Inclusion of All Students
Authors: Sullivan Keri A.
Published: August 2023

Inclusive education is not a new practice; however, schools continue to work diligently to make it happen. By law, students with disabilities should be educated in the least restrictive setting with access to their non-disabled peers as much as possible throughout the school day. One way to ensure that this can happen is to provide access to the needed supports. Those supports do not need to be an adult. Also, the supports for students with disabilities do not need to be expensive. Using low tech assistive technology, teachers can help all students reach their level of independence within the general education setting. With the implementation and teaching of visuals, students will not need to rely on adults for success. Visual supports are a low to no cost, low tech assistive technology that can be implemented with little effort yielding maximum results for students with disabilities in inclusive settings within the school environment. This chapter discusses various low tech assistive technology that is of little to no cost to the teacher through the use of visual supports.
The Use and Awareness of ICT to Facilitate the Adoption of Artificial Intelligence in Agriculture
Authors: Shah Mushtaq Ahmad , Aggarwal Mihir
Published: August 2023

Agricultural practices are changing drastically with the incorporation of artificial intelligence (AI). These innovations have the potential to cause a sea change in farming by increasing production and solving issues of sustainability. More than 58% of rural households in India rely on agriculture as their main source of income, which contributes 18% to India's GDP. India's agricultural output is much lower compared to that of China, Brazil, and the United States. There is growing empirical evidence that adopting the most cutting-edge technologies, such as AI, improves farmers' economic situations and production. This chapter explores the use and awareness of ICT in facilitating the adoption of AI in agriculture and the barriers to accessing information sources. A questionnaire survey was administered to farmers to understand their experiences and perspectives on the use of ICT in agriculture and to facilitate the adoption of AI in agriculture.
A Study on Machine Learning-Based Water Quality Assessment and Wastewater Treatment
Authors: Singh Satakshi , Mishra Suryanshi , Singh Tinku , Thakur Shobha
Published: August 2023

The chapter will present state-of-the-art water assessment and treatment methods as well as the current issues and challenges of the domain. Modern techniques for water evaluation and treatment will be covered in this chapter, along with the current problems and difficulties facing the industry.
Artificial Intelligence in Mobile and Modern Wireless Networks
Authors: Khan Muhammad Abdullah , Anjum Mahnoor , Hassan Syed Ali , Jung Haejoon
Published: August 2023

Wireless communication systems have become fundamental to the information centric infrastructure of today. Due to their high demand, accessibility, and ease of use, they have undergone rapid development to support the ever-growing needs of wireless communication. Machine learning and artificial intelligence-enabled algorithms have provided unique solutions to many of the modern challenges in wireless communication systems. This chapter provides an overview of many of the communication sub-systems where intelligent algorithms are actively playing an important role. It starts by providing a brief introduction to the history and development of wireless communication systems, followed by an overview of their types, their applications, and properties. It then describes the main components of a basic wireless communication system, followed by the role of AI, based on the type of sub-system in the wireless communication chain. It also provides a comprehensive overview of the work being done in the areas currently targeted by AI in the wireless communication domain.
English Teacher Education and Effective CALL Integration
Authors: Liou Hsien-Chin
Published: August 2023

This chapter examines how English language teachers and educators can learn from the research of reflective practice and TPACK, and work toward effective integration of using updated technologies for professional development. English teachers' CALL examples from telecollaboration, corpus, mobile devices and other technologies are discussed to link teachers' learning experiences and their professional development. To illustrate, one type of technology-specific knowledge is developed for CALL teachers such as corpus-based language pedagogy (CBLT). We conclude with suggestions for reflective CALL practice enhanced with TPACK and important questions to address when setting up English language teacher education programs that foster confident CALL teachers.
An Examination of the Impact of Developing Partnerships Between Educators and Advocates to Engage Families of Students With Disabilities
Authors: Lewis Jr. Henderson , Hilaire Shayla Guidry , Johnson-Duplessis Jaime
Published: August 2023

The individual education program (IEP) process for students with disabilities involves the creation of a team that is poised with the responsibility of making decisions for the student's education. The members of the team usually involve families of the student (e.g., parents, grandparents, and guardians), school professionals (e.g., school psychologists, special education coordinator, special education teacher, and content area teachers), and related professionals (e.g., speech therapists, behavior interventionists, and counselors). As education evolves to work toward closing achievement gaps and decreasing the inequities that exist in providing educational opportunities to students, additional team members become an essential part of the team. Special education advocates are oftentimes assigned to an IEP team to serve as a support person for families through the IEP process. This team is considered to be a triad relationship between the family, the school, and the advocacy program.
Effectively Engaging Fathers of Children With a Disability Who Strongly Adhere to Traditional Masculinity
Authors: Bates Dan
Published: August 2023

Fathers play an important role in the care of their children with disabilities that has a significant impact across a number of domains, including overall the family functioning, the wellbeing of their child, and the support and mental health of their co-parent. Specialists need to consider fathers as a key asset in the children's life and work towards increasing father engagement in the family and in services. Greater father engagement has been linked with positive child outcomes. Having a child with a disability intersects with the father's perception of masculine norms, values, and expectations, which can create an internal crisis, distancing the father from his child, family, and the service providers directly working with his child. Specialists should consider a gender-adapted takes into account and sees the father's masculinity, role, and unique perspective as an asset, rather than a detriment. This approach is built on a strengths-focused paradigm and evidenced-based practices that empower father's masculinity to better engage, support, and care for their children.
The Use of Artificial Intelligence in the Food Industry
Authors: Kondaveeti Hari Kishan , Simhadri Chinna Gopi , Yasaswini Ganti Lakshmi , Shanthi G. Kusuma
Published: August 2023

The food industry is one of the most rapidly evolving sectors, with new technological advancements constantly emerging. Artificial intelligence (AI) has emerged as a crucial component in this industry, revolutionizing various aspects of food production, from recipe generation to quality control. In recent years, AI has been integrated into the food industry in a big way, and its impact on the industry has been profound. An important benefit of AI in the food industry is its capacity to automate monotonous tasks, freeing up human workers for more complex responsibilities. AI also aids in recipe generation, enabling food companies to create innovative products that cater to consumer preferences. Moreover, AI plays a crucial role in maintaining quality control, guaranteeing that food products adhere to safety and quality requirements before they are delivered to consumers. To provide insights into the impact of AI in the food industry, this chapter will present case studies highlighting successful AI implementations.
The Use of 3D Printing in the Food Industry
Authors: Shoeibi Majid
Published: August 2023

The potential of 3D printing in the food industry is enormous, but its current limitations hinder widespread adoption. Despite its ability to create intricate designs, mass produce, and reduce waste and costs, large-scale implementation remains a challenge. One major advantage of 3D printing in food is its ability to customize and personalize products, allowing for the creation of unique and complex designs. This opens up new possibilities for culinary creativity and experimentation. Additionally, 3D printing improves efficiency and precision by automating tasks, reducing production time, and ensuring consistent quality. Overall, 3D printing is transforming the food sector by offering customization, efficiency, personalized nutrition, and waste reduction, revolutionizing the way food is prepared, consumed, and enjoyed.
From Kitchen to Table
Authors: Kaya Ümit Can , Sezgin Aybüke Elif Ceyhun
Published: August 2023

3D food printers, which technology has brought to life, have been produced in order to facilitate the production of three-dimensional objects with different and complex structures, to give flexibility to original qualities and changes, and to find solutions for people who need a different nutrition system. This technology, which is developing rapidly in the food sector but still needs to be developed further, has brought with it many conveniences. It is thought that the 3D food printer technology, which entered the food sector in 2001 and has developed considerably today, will be a necessity in the future. In this context, the studies conducted on 3D printer technology and 3D food printer technologies were evaluated. Within the framework of the studies conducted, it is thought that 3D food printers will help people with special nutritional needs, people who need to be fed under a certain diet, and people who are fed according to their personal preferences.
A Narrative Journey Through Faith and Literacy
Authors: DeHart Jason D.
Published: August 2023

In this chapter, the author takes on aspects of the narrative and autoethnographic methodologies to fashion an examination of self and practice. Attention is given to the links between and among literacy, religion, spirituality, and instructional practices. Additional attention is given to practices which unite human beings in a classroom space in positive ways, including the need to listen and the urgency of critiquing policies and practices which might otherwise erase experiences in the classroom community.
Christian Teachers as Good Shepherds
Authors: Glimps Blanche Jackson
Published: August 2023

An increasing numbers of school systems are implementing high leverage practices (HLP) as a framework, for assisting students who struggle with learning. HLP is a set of practices that are fundamental to supporting K–12 student learning. It consists of four areas (e.g., collaboration, assessment, instruction, and social/emotional/behavioral) with 22 practices that define the areas. This chapter examines HLP as a framework for providing assistance to students with academic challenges. The implications of HLP for good teachers, as shepherds, are examined in light of the Gospel model of Jesus as the Good Shepherd.
A Chatbot-Based Strategy for Regional Language-Based Train Ticket Ordering Using a novel ANN Model
Authors: V Kiruthika , Pravin Sheena Christabel , G Rohith , B. Aswin , S Ompirakash , R Danush Ram
Published: August 2023

Chatbots are becoming increasingly crucial in modern society. Typically, a large group of individuals will purchase train tickets together. This requires considerable effort and time. Multiple inquiries from a user are part of the booking procedure. In this research, the authors create an intelligent, user-friendly chatbot for booking train tickets in the native language. In this study, a Tamil-speaking chatbot is developed to assist with train ticket purchases. The authors employed NLP techniques to create an effective and user-friendly conversational interface. The above poll indicates that chatbots have been used in a variety of contexts with positive results. This method will make purchasing tickets much less of a burden for residents of remote areas, who will appreciate it. The ANN model is used to train the chatbot to discern the consumer's desires and respond accordingly. The proposed method has a success rate of 85% and will benefit consumers by expediting and simplifying ticket transactions.
Authentication by Palmprint Using Difference of Block Means Code
Authors: Ananthi G. , Shenbagalakshmi G. , Shruti A.T. Anisha , Sandhiya G.
Published: August 2023

Biometrics is an automatic identification of people with their physiological and behavioural characteristics. There are various modes used in biometrics, such as face, iris, retina, fingerprint, palmprint, palm vein, ear, handwriting, speech, gait, and so on. All these types of biometrics have some shortcomings. Palmprint identification is the biometric methodology used in this chapter, has several advantages over other biometric features which includes user friendliness, environment flexibility, and discriminating capacity. For several years, palmprint identification has been employed in a variety of applications. In the proposed system, the difference of block means approach is used to recognize palmprint which only requires fundamental operations (addition and subtractions), resulting in a significantly lower computing cost compared to existing systems. Even with low-resolution images, the palmprint authentication method yields substantially better results. CASIA Multispectral Palmprint database is used in the experiments. The proposed approach achieves better accuracy.
Credit Risk Analysis and Prediction
Authors: Sarepalli Akhil Raman , S Maheshwari
Published: August 2023

Credit scoring is used to divide applicants into two groups: those with good credit and those with bad credit. When a bank gets a loan request, borrowers with strong credit have a high likelihood of repaying debt. The likelihood of default is higher for applicants with bad credit. The profitability of financial organisations depends on the accuracy of credit scoring. Financial institutions will experience less of a loss if their credit scoring of applicants with poor credit is even 1 percent more accurate. This study seeks to solve this categorization issue by examining the risk of granting a loan to the applicant using the applicant's socioeconomic and demographic attributes from German credit data. In terms of overall accuracy, the authors evaluated the efficiency of several ML techniques like decision tree, logistic regression model, neural network, SVM, as well as random forest. The authors compared and evaluated several models for the model optimization process, integrating the impacts of balancing the AUC (area under the ROC curve)and accuracy values.