bluuebunny/crossref_metadata_2025 huggingface dataset:
UPAYA MENINGKATKAN MOTIVASI BELAJAR BAHASA INGGRIS MELALUI MEDIA TIKTOK PADA SISWA KELAS V SDN 1 POKOH KIDUL WONOGIRI
Authors: Vernita Ninda
Published: February 2024

Berdasarkan hasil penelitian dan pembahasan yang disajikan dapat ditarik kesimpulan sebagai berikut :

Penggunaan media tiktok pada siswa kelas V dapat meningkatkan hasil

belajar bahasa Inggris . Hal ini ditandai dengan meningkatnya nilai rata-rata kelas dari pra sikus sebesar 52 dengan perolehan nilai 70 ke atas sebanyak 8 siswa atau sebesar 29%. Ini berarti bahwa sekitar tiga perempatnya atau 12 siswa atau 71% siswa belum tuntas. Siklus 1 nilai rata-rata siswa masih rendah, 15  siswa atau sebesar 61% yang mendapatkan nilai di atas Kriteria Ketuntasan Minimal (KKM), sedangkan 5 siswa atau sebesar 39% belum memenuhi nilai rata-rata KKM yakni sebesar 70, sedangkan pada siklus rata-rata nilai siswa sebesar 65. Siklus 2 penguasaan terhadap materi pelajaran pada siklus II sudah mencapai hasil yang maksimal yakni memperoleh nilai rata-rata kelas mencapai 81, hanya terdapat 2 siswa atau sebesar 9% yang belum mendapatkan nilai di atas Kriteria Ketuntasan Minimal (KKM), sedangkan 18 siswa atau sebesar 91% sudah memenuhi nilai rata-rata KKM  yakni sebesar 70.
PENERAPAN PENDIDIKAN KARAKTER MELALUI KEGIATAN KEDISIPLINAN DI LINGKUNGAN SD KANISIUS WONOGIRI
Authors: Meliana Meliana
Published: February 2024

Pendidikan karakter merupakan unsur penting dalam proses pendidikan yang bertujuan untuk mengembangkan peserta didik menjadi individu yang berintegritas, bertanggung jawab, dan memiliki nilai moral yang kuat. Penelitian ini bertujuan untuk mengkaji implementasi pendidikan karakter melalui kegiatan kedisiplinan di SD Kanisius Wonogiri (SD). Metode penelitian yang digunakan adalah penelitian lapangan dengan metode kualitatif. Data dikumpulkan melalui observasi, wawancara dan analisis dokumen terkait kegiatan kedisiplinan di SD Kanisius Wonogiri. Hasil penelitian menunjukkan bahwa sekolah ini telah mengambil langkah-langkah khusus dalam melaksanakan pendidikan karakter melalui kegiatan kedisiplinan.  SD Kanisius Wonogiri banyak menerapkan program dan kebijakan  untuk membentuk kepribadian siswa seperti kebiasaan berjabat tangan dengan guru dan teman, kebiasaan mengantri  masuk kelas, serta upacara dan ritual pagi. Guru dan staf sekolah berperan aktif dalam memastikan siswa memahami nilai-nilai seperti integritas, tanggung jawab, kerjasama dan menghormati orang lain.

Kata kunci:  pendidikan karakter, kedisiplinan.
MEMBANGUN KARAKTER PELAJAR PANCASILA MELALUI KURIKULUM MERDEKA DI SEKOLAH DASAR
Authors: Mahalia Mari
Published: February 2024

Pembangunan karakteristik peserta didik tidak bisa dibentuk secara singkat, artinya pembentukan karakter ini harus dilakukan sedini mungkin oleh pihak-pihak yang ada di sekitar peserta didik. Tujuan dari penelitian ini untuk memahami karakte dan cara pembentukan peserta didik melalui program-program yang dijalankan oleh pihak sekolah dan dijalankan oleh semua peserta didik di sekolah. Program-program yang dijalankan di sekolah bertujuan untuk mengembangkan bakat yang ada di dalam diri peserta didik, setiap peserta didik tentunya juga memiliki bakat yang berbeda-beda sehingga pendidik juga harus pintar-pintar dalam memahami karakteristik setiap anak didiknya.  Dari hasil penelitian didapatkan bahwa pembanguan karakter bisa dikembangkan dengan cara pengadaan ekstrakulikuler, kegiatan sosial, dan  pengadaan mata pelajaran tertentu yang berfungsi untuk pengembagan profil pelajar Pancasila dalam diri setiap siswa.

Kata kunci:  Karakteristik, bakat, dan pengembangan siswa
"MANIFESTO OF SOCIALIST SURREALISM" AS AN EXAMPLE OF SURREALISM ENGAGED AGAINST THE BACKGROUND OF OTHER ACTIVITIES OF THE POLISH MOVEMENT ORANGE ALTERNATIVE/ «ՍՈՑԻԱԼԻՍՏԱԿԱՆ ՍՅՈՒՌԵԱԼԻԶՄԻ ՄԱՆԻՖԵՍՏԸ» ՈՐՊԵՍ ՍՅՈՒՌԵԱԼԻԶՄԻ ՕՐԻՆԱԿ ԼԵՀԱԿԱՆ ՆԱՐՆՋԱԳՈՒՅՆ
ԱՅԼԸՆՏՐԱՆՔԱՅԻՆ ՇԱՐԺՄԱՆ ԳՈՐԾՈՒՆԵՈՒԹՅԱՆ ՀԱՄԱՏԵՔՍՏՈՒՄ
Authors: Moldovan-Cywińska Marta
Published: February 2024

This text is a contribution to the analysis of "Manifesto of Socialist Surrealism" against the background of other ideological and artistic activities of the Polish avant-garde movement Pomarańczowa Alternatywa (The Orange Alternative). The author shows the origins of the movement, citing other avant-garde movements that preceded the formation of the Orange Alternative and the publication of its most important manifesto. She mentions the Polish Futurists, the French Surrealists, who had an unequivocal impact on the creative imagination.
ԹՈՒՐՔԻԱՅԻ ԱՐՏԱՔԻՆ ՔԱՂԱՔԱԿԱՆՈՒԹՅԱՆ ԺԱՄԱՆԱԿԱԿԻՑ ՀԱՅԵՑԱԿԱՐԳԱՅԻՆ ՀԻՄՔԵՐԸ/ CONCEPTUAL FOUNDATIONS OF TURKISH FOREIGN POLICY AT THE PRESENT STAGE/ КОНЦЕПТУАЛЬНЫЕ ОСНОВЫ ВНЕШНЕЙ ПОЛИТИКИ ТУРЦИИ НА СОВРЕМЕННОМ ЭТАПЕ
Authors: Serobyan Anahit
Published: February 2024

This article is devoted to the study of Turkey's foreign policy. In particular, reference is made to the regional priorities, as well as to the study of the well-known doctrine "Zero problem with neighbors", the adopted doctrine, internal political factors that contributed to the implementation of a more firm and pragmatic foreign policy. The results of the study will help to understand the orientation of Turkey's foreign policy in the South Caucasus, the policy of "soft power", and will also help to understand what steps Turkey is taking in a difficult situation, seeking to protect its interests, while overcoming regional challenges and maintaining stability in neighboring countries.
ՀՐՈՒՇԱԿԵՂԵՆԻ ՇՈՒԿԱՅԻ ԶԱՐԳԱՑՄԱՆ ՄԻՏՈՒՄՆԵՐԸ ԵՎ ՄԱՐՔԵԹԻՆԳԱՅԻՆ ՆՈՐ ՄՈՏԵՑՈՒՄՆԵՐԸ ՀԵՏՀԱՄԱՃԱՐԱԿԱՅԻՆ ԺԱՄԱՆԱԿԱՇՐՋԱՆՈՒՄ/ TRENDS IN THE DEVELOPMENT OF THE CONFECTIONERY MARKET AND NEW MARKETING APPROACHES IN THE POST-EPIDEMIC PERIOD/ ТЕНДЕНЦИИ РАЗВИТИЯ КОНДИТЕРСКОГО РЫНКА И НОВЫЕ МАРКЕТИНГОВЫЕ ПОДХОДЫ В ПОСТЭПИДЕМИЧЕСКИЙ ПЕРИОД
Authors: Avetisyan Lilya
Published: February 2024

Marketing does not remain aloof from the confectionery industry. The global confectionery market is constantly evolving. The changing preferences of people from year-to-year challenge confectionery companies to create new, original, unusual taste combinations. Confectionery consumption doubled as the culture of chocolate gifting spread. Marketing tools play a pivotal role in devising specific and effective ways to showcase products, aiming to capture the attention of consumers who often make impulse purchases when it comes to confectionery. The confectionery market in Armenia is saturated with both domestic and imported products. Regarding marketing activities in this industry, it should be noted that new marketing trends observed in the global confectionery market have found partial adoption in Armenia. Among companies operating in the confectionery industry, there are also omissions associated with the implementation of marketing activities on social networks. All of the above determines the relevance of the research topic. The purpose of the study is to identify current trends in the development of marketing in the global confectionery market and their manifestations in Armenia, using the example of ‘Grand Candy’ LLC.

The article presents current marketing trends, analyzes the dynamics of the development of the global confectionery market by product, age group, price category, distribution channels, regions, and also identifies the features of marketing in modern conditions of the confectionery market development. As a result of a multilateral analysis of the marketing activities of ‘Grand Candy’, one of the leading companies in the confectionery market of the Republic of Armenia, existing problems are revealed, and possible ways to overcome them are proposed.
Menelusuri Faktor yang Mempengaruhi Keputusan Pembelian Pada E-Commerce: Sebuah Kajian Literature
Authors: Nabila Yovita Frita , Ramadhan Fajar
Published: February 2024

Abstrak: Potensi pertumbuhan transaksi e-commerce di Indonesia tampak optimis. Nilai transaksi telah menunjukkan lintasan kenaikan yang konsisten dalam beberapa tahun terakhir. Bank Indonesia (BI) telah memproyeksikan bahwa total nilai transaksi e-commerce di Indonesia diperkirakan akan mencapai Rp 476,3 triliun pada tahun 2022. Untuk meningkatkan kinerja mereka, para pemasar dapat memperoleh keuntungan dengan memperoleh pemahaman menyeluruh tentang proses pengambilan keputusan yang dilakukan oleh calon pelanggan ketika mempertimbangkan pembelian melalui perdagangan elektronik. Untuk mencapai tujuan ini, penelitian ini akan menggunakan metodologi Tinjauan Literatur Sistematis (SLR) untuk secara metodis mengidentifikasi, menilai, dan menginterpretasikan variabel-variabel yang dapat mempengaruhi perilaku pembelian konsumen dalam konteks perdagangan elektronik. Hasilnya, telah ditentukan bahwa banyak faktor yang memberikan dampak substansial pada keputusan pembelian konsumen dalam ranah perdagangan elektronik. Faktor-faktor ini termasuk tetapi tidak terbatas pada kualitas produk, peringkat produk, ulasan produk, dan harga produk. Variabel tambahan yang dapat memengaruhi pilihan pembelian termasuk kualitas informasi, kepercayaan, keamanan, kualitas layanan, risiko yang dirasakan, dan niat untuk melakukan pembelian.

Kata Kunci: Marketplace, E-commerce, Keputusan Pembelian, Perilaku Konsumen

Abstract: The growth potential of e-commerce transactions in Indonesia looks optimistic. Transaction values have shown a consistent upward trajectory in recent years. Bank of Indonesia (BI) has projected that the total value of e-commerce transactions in Indonesia is expected to reach IDR 476.3 trillion in 2022. To improve their performance, marketers can benefit by gaining a thorough understanding of the decision-making process carried out by candidates customers when considering purchases through electronic commerce. To achieve this goal, this research will use the Systematic Literature Review (SLR) methodology to methodically identify, assess, and interpret the variables that may influence consumer buying behavior in the context of e-commerce. As a result, it has been determined that many factors have a substantial impact on consumer decisions in the realm of e-commerce. These factors include but are not limited to product quality, product ratings, product reviews, and product prices. Additional variables that can affect purchase choices include quality of information, trust, security, quality of service, perceived risk and intention to make a purchase.
Model Kewirausahaan Sosial Pada Intensi Berwirausaha Pemuda Ekonomi Lemah Di Kawasan Tempat Pembuangan Akhir Sampah (TPAS)
Authors: Gunawan Muhammad Taufan , Said Siti Nur Reskyawati
Published: February 2024

Penelitian ini bertujuan untuk mengenalkan model kewirausahaan sosial terhadap intensi berwirausaha pemuda ekonomi lemah di Tempat Pembuangan Akhir Sampah (TPAS). Penelitian ini merupakan penelitian deskriptif kualitatif. Jumlah informan sebanyak 40 orang. Teknik pengambilan data melalui wawancara mendalam. Metode analisis yang digunakan adalah teknik triangulasi yang akan mengonfirmasi data yang diperoleh dari masing-masing informan, tujuannya agar data yang diperoleh semakin valid dan objektif. Hasil penelitian menunjukkan bahwa pemahaman dan ketertarikan pemuda ekonomi lemah di Kawasan TPAS terhadap model kewirausahaan sosial masih minim. Alasannya pemuda ekonomi lemah di kawasan tersebut lebih memilih model kewirausahaan yang profitable. Meskipun disadari bahwa dengan menjadi wirausahawan sosial akan membawa dampak perubahan tidak hanya pada diri sendiri tetapi juga pada lingkungannya, tetapi mereka belum ingin beralih menjadi pelaku wirausaha sosial. Selain itu modal usaha dan sikap tidak percaya diri menjadi kendala utama pada intensi berwirausaha. Hal ini mengindikasikan bahwa pemuda ekonomi lemah khususnya di Kawasan TPAS masih menjadi objek dari kewirausahaan sosial. Mereka dinilai belum mampu menjadi subjek atas kewirausahaan sosial karena berbagai kendala yang dihadapi
Analisis Kualitas Produk dan Harga Terhadap Keputusan Pembelian Produk Kosmetik
Authors: Husni M. Fahrul
Published: February 2024

The cosmetics industry is one of the fast-growing sectors around the world, including Indonesia. Product quality and price are two main factors that influence consumer purchasing decisions. The study aims to analyze the impact of product quality and price on the decision to buy cosmetic products in Indonesia. The research method used is quantitative by collecting data through surveys to consumers of cosmetic products. Therefore, companies in the cosmetics industry should strive to improve product quality and establish appropriate pricing strategies to improve consumer purchasing decisions and increase market share.
Permanence policies of a public university during the 2020-2021 coronavírus pandemic: numbers and confrontations
Authors: Ferreira Luciano , Santos Talita Secorun dos , Martins Bruna Camila Alonso Martin
Published: February 2024

This is research that aims to outline the permanence policies that a public state university in Paraná offered to students during the new coronavirus pandemic, called Covid-19. We sought to carry out a numerical survey of the impacts of these policies on the retention and dropout of students on the campus where the research took place. To this end, studies were carried out related to documents published and edited by the institution during the year 2020, which highlight the numerical data on evasion, retention and admissions in the years 2020 and 2021, years in which Emergency Remote Education (ERE) was deployed. In relation to numerical surveys, a database was developed listing all students who dropped out and those who remained at the institution during these pandemic years. The aim was to identify the possibilities to carry out tactical actions that contribute to the retention of academics in this historical moment and contribute to reducing dropout rates on the University campus.
Situational diagnosis of the practice of professionals in the work process of the school health program: a convergent care research
Authors: Veras Karlla da Conceição Bezerra Brito , Torres Raimundo Augusto Martins , Aragão Joyce Mazza Nunes , Araújo Larissa Cavalcante Fonteles , Gomes Edine Dias Pimentel , Albano Breno da Silva
Published: February 2024

Objective: To carry out a situational diagnosis on the practice of professionals in the work process and collection of data on actions in the context of the School Health Program (PSE), in the municipality of Sobral, Ceará, Brazil. Method: This is an exploratory, descriptive research, with a qualitative approach, in which the stages of Convergent Care Research (PCA) were used. Results and discussion: Difficulties were found on the part of professionals in recording the data collected from students, in the printed form of collective activity, due to the high quantity of student data to be entered and, in addition, difficulties in monitoring the data of the PSE. Final considerations: The proposal to carry out a critical-reflective process on the work process in the PSE, with the detection of the situational diagnosis, resulting in recognition by management and professionals, the creation of proposals for improvements in the PSE, identifying and minimizing difficulties in data collection, monitoring data in real time, in a shared manner, improving the organization and monitoring of data collected by professionals.
ECMI Minorities Blog. Indigenous Inequalities in Egalitarian Societies: The Case of the Sámi People in Norway and Sweden
Authors: Bergmann Fabian
Published: January 2024

Many Indigenous peoples live in firmly unequal societies and face substantial material disparities towards the ethnic majority populations. Yet, inequalities between ethnic groups are usually multidimensional and go beyond material status. But are they also present when economic inequality is absent? That is, what kind of inequalities do Indigenous peoples face in societies conventionally considered egalitarian? This blog post reports on new research about the situation of the Sámi people in Norway and Sweden. It indeed supports the proposition that the Sámi are on a material par with their non-Indigenous compatriots. Nonetheless, they are more likely to experience discrimination, and these experiences are strongly linked to how proficient Sámi are in their Indigenous languages and how frequently they use them. This shows that the Sámi face inequalities especially in the dimension of cultural status. Finally, the post points out potential further inequalities in the case of the Sámi that research has yet to address.
Underground Tour of Macassa Mine
Authors: Motel Bon Air , Lake Kirkland
Published: February 2024

1991 MAY 31 FRIDAY MORNING tour underground at Macassa. From the Bon Air Motel, proceed 5.85 km west along Highway 66 (Government Road) then turn right; at 6.85 km park near Macassa No.3 shaft headframe. For a description see paper entitled “Macassa Mine Geology” in this guidebook.
Gold-Related Geology of the Matachewan Camp
Authors: Powell W. G. , Kilbourne M. W. , Hodgson C. J.
Published: February 2024

The Matachewan camp is located in the southwestern Abitibi Greenstone Belt of the Superior Province, 55 kilometres west of Kirkland Lake, northeastern Ontario. Gold production from the camp has come entirely from two contiguous mines, the Young-Davidson mine (YDM) and the Matachewan Consolidated mine (MCM). Between 1933 and 1957, a total of 9. 6 million tonnes of ore with an average grade of 3. 1 g/t Au and 0. 93 g/t Ag was produced from these mines. In 1979-80 Pamour Porcupine Mines Limited removed an additional 18,000 tonnes of ore at >3.4 g/t from open pit operations on the Matachewan Consolidated property (Sinclair, 1982).

Since the surface exposures of ore grade mineralization have long since been removed from the mines of the Matachewan area, one cannot examine the detailed controls of the mineralization. Thus the aim of this surface field trip is to examine the regional setting of the Matachewan gold mines, the geological history of the area, and the general style and mineralogy of the gold mineralization and associated alteration. These features may then be compared with those of other gold deposits associated with the major tectonic zones of the southern Abitibi belt. In addition, evidence of post-Archean reactivation of major structures, including the Larder Lake-Cadillac Break (LLCB), and its relevance to gold exploration will be examined.
Larder Lake Gold Field Trip
Authors: Cater D. F.
Published: February 2024

1991 JUNE 02 SUNDAY MORNING AND AFTERNOON TOUR will be by bus, which will carry the lunches so we can eat wherever we happen to be around noon time. The two longest walks from the bus should total less than 4 km “round trip”. If time becomes too short to visit to-day’s 10 tour stops (No. 6 to 15), one or more might have to be left out. This will ensure that we arrive back at the motel in time to prepare for the evening meal followed by the talk on American Barrick’s Holt-McDermott gold mine, where you will go underground to-morrow and receive a mine description handout. For a description of Larder Lake area geology see "The Sedimentary Phase that initiated the Concentrating of Gold Ores, MatachewanKirkland Lake-Larder Lake area, Ontario, Canada" in this Guidebook.

The Larder Lake area (mainly Kerr-Chesterville and Omega mines) has produced almost 11 million Troy ounces of gold at an average grade of about 1/4 ounce of gold per short ton. Similarities with the Larder Lake gold ore type can be found throughout Canada’s Abitibi sub-province such as in the Porcupine (Timmins) gold area, and elsewhere in the world such as in Western Australia.

For location of Larder Lake Gold Field Trip Stops see Figure 1. From the Bon Air Motel, proceed 6. 2 km west along Highway 66 to the junction with Highway 112, turn left (south) and proceed along Highway 112 to the junction with Highway 11 at 26. 4 km (to-day’s cumulative trip total).
Return Trip to Toronto
Authors: Cater D. F.
Published: February 2024

The trip begins in Toronto (1991 May 30 Thursday) and proceeds to Kirkland Lake by motor coach. The evening includes a Kirkland Lake branch CIM meeting (speaker Wayne Benham on a recent Kirkland Lake gold discovery by Battle Mountain Canada Incorporated) and an introduction to the Macassa Mine geology by D. F. Cater.
Geology and Exploration History of the Palmarejo Silver and Gold
district, Chihuahua, México
Authors: Birak Donald J. , Maslowski Michael , Molina Cástulo , Melchor Antonio , Figueroa Héctor
Published: February 2024

The silver and gold deposits of the world-class Palmarejo district are typical intermediate sulfidation-style epithermal precious metal occurrences hosted in Cretaceous- to Tertiary-age volcanic and intrusive rocks, of the Lower Volcanic Complex (LVC), and now host one of the newest and largest silver and gold producers in Mexico. The district, along with a surface and underground mine and new 6,000 tpd ore processing facility, is owned and operated by Coeur dâ∈™Alene Mines Corporation through its wholly owned subsidiary, Coeur Mexicana S.A. de C.V. Palmarejo is located in the southwest portion of the State of Chihuahua in the Sierra Madre Occidental (SMO) epithermal belt (Fig. 1).
Arthroscopic treatment of chronic calcific tendinitis with intraosseous migration: a case report
Authors: Kim Jung Uk , Wang Pei Wei
Published: February 2024

We present a case of calcific tendinitis in the shoulder, where calcifications were observed within both the tendon and the adjacent bone. At the time of acute onset, radiographs (including a plain radiograph) and magnetic resonance imaging revealed calcific tendinitis with intraosseous migration. The patient’s symptoms did not improve after 5 months of conservative treatment. The patient underwent arthroscopic debridement of the calcific deposits, and the defect was repaired using the double-row repair technique. The patient’s symptoms improved 3 months after arthroscopic treatment. We share our unusual experience with arthroscopic debridement in the treatment of chronic calcific tendinitis with intraosseous migration.
TRANSIÇÃO PARA UM MODELO DE OPERAÇÕES SUSTENTÁVEIS NA GESTÃO DAS CADEIAS DE SUPRIMENTOS DA MARINHA DO BRASIL - UMA PROPOSTA DE ABORDAGEM
Authors: LIMA THIAGO FERNANDES , MORAES ALEXANDRE AUGUSTO LOPES VILLELA DE
Published: February 2024

O presente artigo se propõe a apresentar, de forma sucinta, para reflexão, o tema Operações Sustentáveis no escopo da gestão, a fim de fomentar a discussão sobre tão importante questão que, cada vez mais, impactará as organizações privadas e públicas e, principalmente, cada um dosindivíduos que hoje habitam o planeta terra e suas gerações futuras. Considerado o criador do conceito denominado “três eixos da sustentabilidade” ou“triple bottomline”, JohnElkington crê na necessidade de um olhar mais amplo para a agenda socioambiental, no qual os conceitos se conectem e cheguem às empresas e governos de uma forma simples de serem compreendidos e implementados. No modelo de Elkington as dimensões econômica, social e ambiental devem ser priorizadas com equilíbrio pelas empresas e organizações.Tal abordagem ganha importância na medida em que vivemos em um cenário de produtos com ciclos de vida cada vez mais curtos; de limitada capacidade dos ecossistemas para absorver poluentes; de comportamento crescente na população mundial e, consequentemente, no consumo; e da crescente atenção dos consumidores e acionistas quanto ao real impacto das empresas na sociedade no presente bem como, a perspectiva futura. Como uma organização de qualquer natureza, a Marinha do Brasil não pode abster-se de incorporar processos, práticas e capacidades voltadas para a adoção de práticas sustentáveis e, historicamente, já vem trilhando este caminho. Neste contexto de busca contínua por maior sustentabilidade na execução das operações, o Sistema de Abastecimento da Marinha desempenha um papel fundamental, já que se caracteriza como a espinha dorsal do Sistema Logístico da Marinha do Brasil. Assim, uma questão que emerge é: de que forma a estrutura organizacional e as atividades do SAbM precisam ser reestruturadas, a fim de incorporar as esferas, social, econômica e ambiental, propostas no modelo de operações sustentáveis de Elkington? Na leitura a seguir, não se pretende esgotar a pergunta acima. O propósito consiste em contribuir para a necessária conscientização e para iniciar a pavimentação no caminho da mudança proposta que, indubitavelmente, demandará uma profunda reflexão e transformação na cultura, nos processos e na mentalidade de todos.
Il “paziente inglese”
Authors: De Lia Andrea
Published: February 2024

RiassuntoIl contributo traccia, innanzitutto, una breve panoramica dell’evoluzione e dell’assetto attuale del sistema sanitario nel Regno Unito, al fine di evidenziarne le indubbie peculiarità rispetto a quello nostrano. Successivamente l’attenzione è rivolta alla disciplina della malpractice in ambito civile risarcitorio e, soprattutto, penale. La disamina, allora, condurrà alla conclusione che la forte limitazione della medical liability che si registra, in entrambe le suddette proiezioni, in questo Paese possa influire negativamente sui livelli qualitativi e l’efficienza del NHS, che non risultano particolarmente elevati. L’obiettivo del saggio è quello di fornire, dunque, spunti di riflessione in ordine all’opportunità, rispetto all’esigenza di tutelare la sicurezza delle cure, di riforme che in Italia da tempo molti invocano ai fini di un sensibile ridimensionamento della responsabilità penale degli operatori sanitari (specie facendo ricorso al paradigma della “colpa grave”) o, in linea opposta, in ordine all’introduzione di una responsabilità da reato della struttura sanitaria, per eventi avversi occorsi al paziente, prevista, per l’appunto, nel Regno Unito.
The Formal System Model
Authors: Peters Geoff , Fortune Joyce , White Diana
Published: January 2024

Use of systems thinking to understand failures has been a well-established practice for many years and with this has come the development of systems techniques and methods specifically for that purpose. One of the best known of these is the Formal System Model (FSM). It is a model of a robust system that is capable of purposeful activity without failure against which a systems representation of an actual or potential failures situation can be compared. This chapter explains the elements and interrelationships within the FSM and techniques that have been associated with its application. It then reports on a major program of work to develop a project-specific version of the FSM and shows the very full extent to which Critical Success Factors can be mapped onto the FSM and surveys of project managers. A hitherto unpublished study then demonstrates application of the FSM in order to review an organization’s past, current and planned activities. Finally the chapter draws conclusions from the work reported.
Systems Thinking for Project Management? Risky Not To
Authors: Ackermann Fran
Published: January 2024

Adopting system thinking concepts within the realm of project management may assist in avoiding or at least reducing the significant overruns being experienced by projects across the globe. This chapter examines this premise and considers this from three aspects. The first is actively incorporating the views of a range of project stakeholders. This inclusion not only ensures the capture of a wide array of risks but also enables ‘buy in’ and alignment of direction, thus attending to arguments that stakeholder management is a critical component of successful projects. In addition, the chapter considers how systems thinking can add significant value through attending to the capture of the interactive nature of risks and the dynamics of risk – the continuous changing of composition and salience over time.The chapter briefly notes the evolution of tools and techniques for assisting project managers in taking a systemic view focusing on one particular technique, causal mapping, to provide illustration. The chapter concludes with the view that not only is it important to capture i) a wide array of risks, ii) interactions between risks and iii) breadth of stakeholders but that each of these aspects impact one another adding a further systemic factor.
Feminist-Systems Thinking
Authors: Stephens Anne
Published: January 2024

In 2008 a set of principles for systemic intervention was published. They originated from a comparative study of cultural ecofeminist and critical systems thinking texts. The feminist-systems thinking principles are:

Adopt a gender sensitive approach

Value voices from the margins

Incorporate the environment within research

Select appropriate method/ologies

Undertake research that promotes plurally desirable and sustainable social change

The principles have been surpassed due to the work done with them over the last decade. This article reviews the FST principles and the emergence of the ‘GEMs’ framework: the Gender equality, Environments and Marginalised voices framework. While the GEMs remains true to its ecofeminist and systemic thinking intents, it has broader application across a range of socio-economic and socio-ecological intersecting issues. The article concludes with some current applications of the GEMs working from the global scale with the UN’s 2030 Agenda to the operating table in a contemporary medical hospital setting.
Deep learning-based sentiment analysis for social media: A focus on multimodal and aspect-based approaches
Authors: Feng Bowen
Published: February 2024

Commonly referred to as opinion mining, sentiment analysis harnesses the power of deep learning systems to discern human emotions and subjective sentiments towards a wide array of subjects. As such, it has become an integral tool in identifying and distinguishing sentences that harbor emotional biases or trends. By systematically examining sentiment-tinged data, researchers can unearth pivotal insights that not only reflect current perspectives but also predict future behaviors and trends. This process involves intricate computational models that analyze and interpret the emotional undertones embedded within a body of text. Whether these undertones are positive, negative, or neutral, sentiment analysis allows us to delve into the subtle nuances of human communication. This ability to "understand" and quantify sentiment is particularly vital in our modern digital age, where opinions and reviews shared through social media and online platforms can greatly influence public sentiment and consumer behavior. By extending beyond the literal meanings of words and phrases, sentiment analysis can provide a more comprehensive understanding of how people truly feel. It is instrumental in fields as diverse as marketing, politics, social science, and even artificial intelligence development, given its potential to gauge public opinion and predict societal trends. This paper aims to consolidate relevant research within the field of sentiment analysis conducted in recent years. Furthermore, it seeks to prognosticate the future trajectories and impacts of this rapidly evolving domain. Emphasis is placed on the role of deep learning and its transformational effects on the approach and capabilities of sentiment analysis, anticipating how its further advancement will continue to refine this intricate process of emotion recognition and interpretation.
Subway network optimization and passenger travel experience
Authors: Wei Jingyu
Published: February 2024

This conference paper examines the significance of subway network optimization in relation to passenger travel experience. It begins with an introduction that highlights the importance of subway networks in urban transportation and establishes the objectives of network optimization. A comprehensive literature review explores previous research on subway network optimization and passenger travel experience, identifying strengths, limitations, and research gaps. The paper then explores various methods of subway network optimization, including network structure optimization, train scheduling optimization, and station layout optimization, providing explanations of their principles and application scenarios. The impact of these methods on passenger travel experience is discussed, considering evaluation metrics such as crowding level, punctuality, transfer efficiency, and comfort. A case study of the China Metro system is then presented to illustrate the implementation process of network optimization and an analysis of its impact on passenger travel experience using evaluation metrics. The findings emphasize the importance of subway network optimization and its potential to enhance passenger satisfaction, connectivity, and sustainable urban development. The conclusion connects with the paper thesis and main findings that underscore the significance of subway network optimization, proposing future research directions and exploring the relationship between optimization efforts and passenger travel experience. Therefore, the paper will help understand why subway network optimization and gives insights for enhancing passenger travel experience in urban subway systems.
Research of artificial intelligence in imperfect information card games
Authors: Sun Megan
Published: February 2024

Artificial intelligence (AI) in games has advanced significantly, notably in perfect information games such as Go and Chess. Imperfect information games, in which participants do not have complete information about the game state, create more difficulties. They incorporate both public and private observations, where strategies must be improved to achieve a Nash equilibrium. This study investigates artificial intelligence and reinforcement learning approaches, in which agents learn to maximize future rewards through interactions with their surroundings. The paper then focuses on card game research platforms such as RLCard and OpenAI Gym. It gives a comprehensive summary of research in No Limit Texas Hold'em, a difficult two-player poker game with a large decision space. DeepStack and Libratus are successful systems that have attained expert-level and superhuman play, respectively. Pluribus, a superhuman artificial intelligence for six-player poker, and DouZero, a pure reinforcement learning technique for the multiplayer card game, DouDiZhu, are both investigated. Overall, this paper provides background information on reinforcement learning and imperfect information games, analyzes commonly used research platforms, evaluates the effectiveness of AI algorithms in various card games, and offers future research areas and directions.
Data augmentation techniques for classification of music genre
Authors: Zhang Aixin , Zhang Hanyu
Published: February 2024

Music genre classification, a crucial aspect in the field of audio processing, has been widely investigated using different machine learning methods. However, there is still a need to determine the most optimal application between Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs) in the field of music genre classification, and the augmentation and enhancement of the data utilized for these machine learning techniques is still an important topic to study. The objective of this research is to identify the most effective solution and to improve the accuracy of music categorization. This will be achieved through an in-depth comparison of various data augmentation techniques and neural networks. In this study, both CNN and LSTM networks are optimized and trained. The dataset has been enhanced by extracting Mel Frequency Cepstral Coefficients (MFCC) data from music recordings using three different sampling techniques. The thorough approach undertaken facilitates a detailed assessment of the effectiveness of each method in classifying genres. The experimental findings show that the combination of CNN and random sampling outperforms all other tested algorithms, resulting in a significant enhancement in genre classification accuracy. This research provides valuable findings that can inform future studies in the pursuit of more effective techniques for classifying music genres.
Research on the sketch recognition and automatic plotting of deep learning
Authors: Cheng Xulun
Published: February 2024

Deep learning is one of the most progressive technologies around the world. With its profits of high flexibility and less economic consumption on development, more and more people are attracted to the industry and strive to improve its environment. As two of the biggest branch incorporated with such a novel and robust technology, automatic plotting, and sketch recognition have developed simultaneously. In this paper, various experiments and designs are listed to display the application of the technology. The paper indicated the possibility of such a combination through these tests and experiments. Because of the introduction of deep learning, these fields, such as facial recognition, and medicine, reduced the challenges, solved the potential risk, and paved the path for smoother improvement. Beyond the fact that deep learning still already achieves so much work, the success of in these technologies also helps its growth such as remedy the fact of limited data. It indicates its widespread usage in different areas, suggesting a confirmed future of exploiting.
Application of machine learning in medicine
Authors: Meng QingWei
Published: February 2024

In the past decades, the quantity and complexity of medical data have been increasing, such as medical images, genomics data, physiological signals and so on. These data contain a lot of valuable information, but traditional analysis methods and manual feature extraction have been unable to effectively deal with these large-scale and high-dimensional data. The rapid development of machine learning technology has brought new opportunities for medical research and clinical practice. Machine learning algorithms can learn and discover patterns, laws and prediction models from large-scale data, thus helping doctors and researchers to make more accurate and personalized diagnosis and treatment decisions. The application of machine learning in medicine has become a research field of great concern in recent years. This paper studies the application of machine learning in medicine, such as medical image diagnosis, genomics and drug discovery, and analyzes the relevant technical methods and ideas of machine learning in medicine, and analyzes the main algorithms and usage methods used in medical image diagnosis, such as convolution neural network and other deep learning algorithms. Through detailed analysis and research, it is found that machine learning provides a new method and tool, which can effectively process large-scale and complex medical data in medicine, bring more possibilities for medical diagnosis, treatment and research, and provide support for individualized medical care.
Human-centric artificial intelligence
Authors: Zhang Chengke
Published: February 2024

The essay explores the influence of artificial intelligence (AI) on society and its potential to take over jobs from humans. With the ongoing acceleration of technology and the increasing independence of machines, a reduced number of workers will be required. The significant progress of artificial intelligence indicates that numerous jobs such as those of paralegals, journalists, office workers, and even computer programmers are at the brink of becoming obsolete as robots and intelligent software are set to replace them. It examines the possibility of augmented intelligence and concentrates on machine learning and deep learning as possible approaches. The study indicates variables that determine how likely an occupation is to be automated and highlights the advantages of using AI to boost work productivity. The application of AI and the concerned problem associated with it has a huge impact on human society. Machine learning and deep learning are implemented to discuss the feasibility of augmented intelligence. Many scientific approaches suggest the factors that determine the automation potential of an occupation and the benefits of using AI to improve work efficiency. Data analysis and result comparison are used in the essay. The essay draws the conclusion that Artificial Intelligence should improve human productivity and propel the development of society, but not replace it.
An improved braitenberg policy for object tracking
Authors: Wu Rui
Published: February 2024

In vision-based unmanned vehicle tracking of moving vehicles, it is difficult to achieve accurate tracking of motorized vehicles with conventional fixed-parameter PID controllers due to their varying speeds and changes over time. To generate control signals for the systems and move the controlled object, the PID controller performs calculations based on percentage, integral, and derivative data. This is the discrete PID controller method. In this paper an improved tracking method, the Braitenberg policy, is proposed and a series of experiments are conducted in Simulink. The experimental results verify that the method can achieve stable tracking in simple environment for both general and extreme cases. The method can be used for future experiments for both general and extreme cases. The method can be used for future experiments in more scenarios. Braitenberg policy provides stronger and more stable tracking performance in extreme cases compared to conventional PID control. The algorithm provides more opportunities for tracking research and a small idea for the integration of multiple algorithms.
Field-enriched A* search algorithm for robot motion in path planning
Authors: Lei Dongyue
Published: February 2024

Path planning in unknown or complex environments is a central issue in the fields of automation and robotics. To address this global path planning problem while maintaining the smoothness of robot motion, as well as to ensure safety by keeping away from obstacles, this paper propose an innovative method called Field-Enriched A* Planner (FEAP), which incorporates the repulsive potential field into the heuristic computation of the A* search algorithm. The research modified the heuristic mechanism of the A* algorithm by incorporating both attraction and repulsion factors from the Artificial Potential Field method, thereby enhancing the influence of obstacles in the decision-making process. The repulsive potential field enhances obstacle avoidance, ensuring smoother robot motion during the path planning process. The simulation experiments are conducted on the proposed method and compare it with common path planning algorithms. Results from the experimental trials demonstrate that the new method can effectively enhance the smoothness of robot motion while ensuring a safe path is identified.
A review of metaheuristic optimization methods
Authors: Cui HaoZheng
Published: February 2024

In this paper, the metaheuristic optimization methods are categorized. Each method is explained detailly in basic principle and working mechanism. The article is separated to four parts. The second part shows the principle and implementation for each method such as GA, PSO, ACO and TS. The algorithms are categorized according to their searching type. The third part shows the combination of different optimization methods used to solve complex, multi-objective, high-dimensional problems. The fourth part is the future and challenges for metaheuristic optimization. The paper includes recent experiments to 2022.
Comparative study of the execution efficiency of Python and C++Based on topological sorting
Authors: Zhang Yuwei
Published: February 2024

C++, a compiled language, and Python, an interpreted language, are among those essential coding languages that function in diverse areas of the current computer industry. However, different languages have disparate benefits and fit in various circumstances. When large amounts of data are involved or fast execution speed is required, one should consider which language performs better. This research mainly aims to find out whether C++ or Python is more efficient through Topological Sorting, which is utilized to linearize the vertices of a Directed Acyclic Graph (DAG). In the approach of coding the Topological Sorting algorithm in C++ and Python and comparing their execution times on each matrix representing a DAG randomly generated by a Python program, it is concluded that C++ generally has a higher efficiency than Python.
Exploring the coexisting relationship between Artificial Intelligence-Generated Content (AIGC) and designer
Authors: Sheng Yanan
Published: February 2024

This paper focuses on how designers can find the right balance and new foundation between themselves and Artificial Intelligence Generated Content (AIGC) at a time when the current artificial intelligence trend is invading the design industry like a wave. This study uses two methods of text analysis and semi-structured interviews to explore the coexistence between AIGC and designers. The results show that, for now, AIGC can help solve some of the fundamental problems in the design process but not all of them. Almost all designers dare not underestimate the possibility of AIGC in the future, and the arrival of AIGC is already an irreversible fact. This study explores the future impact of AIGC on the creative design industry through the perspective of designers and critical theory. It provides practical inspiration and some valuable thinking for the design industry.
Snapchat's disappearing messages: Balancing entertainment and privacy in digital communication
Authors: Li Ruohai
Published: February 2024

Modern instant messaging platforms often default to permanent data retention, raising concerns about data privacy and users' ability to manage their digital artifacts. In contrast, emerging applications like Snapchat introduce ephemeral communication, where messages automatically vanish after being viewed. This paper investigates the motivations and experiences of users utilizing Snapchat's disappearing message feature. The study employs semi-structured interviews with young adults aged 18-24, who are active Snapchat users. Findings reveal that Snapchat's primary appeal lies in entertainment, creative expression, and maintaining casual relationships. While the disappearing feature contributes to privacy perceptions, users' trust in the feature's privacy protection is not absolute. The paper highlights the challenge of conducting task-oriented or deep conversations due to the ephemerality, emphasizing Snapchat's utility for informal and lighthearted interactions. Ultimately, the study underscores the importance of aligning user experiences with application design, providing insights for practitioners seeking to enhance user-centered product development in the evolving landscape of digital communication.
A literature review on snow simulation with MPM in computer graphics
Authors: Wang Mingrui
Published: February 2024

Snow simulation is always a challenge in the computer graphics community due to its combined nature of solids and fluids. In the past, researchers usually applied different solvers to computationally simulate the behavior of snow at different phases, which made the simulation both slow and complicated. In 2013, the material point method, abbreviated as MPM, was first introduced for snow simulation, eliminating the need for multiple solvers. This paper investigates the history of the application of MPM to snow simulation in computer graphics specifically, and offers an overview of its evolution since the pioneering work by Stomakhin. It aims at showing the current state-of-art as well as any limitations. Nowadays, the development of MPM and snow simulation focuses on improvements of the stability and physical accuracy of the method itself, and the generalization of the application scope from snow to arbitrary granular materials. The trade-off between efficiency and accuracy remains a problem, thus it introduces more potential research directions, ranging from developing simpler mathematical models for better physical accuracy to incorporating machine learning techniques to accelerate the simulation process.