bluuebunny/crossref_metadata_2025_split huggingface dataset:
Area and Gauss–Bonnet inequalities with scalar curvature
Authors: Gromov Misha , Zhu Jintian 
Published: February 2024

The Gauss–Bonnet theorem states for any compact surface

(S,g)

that the quantity

Q^{S}_{GB}(S)=\int_{S} \operatorname{Sc}(S,s)\,\mathrm{d}s+\int_{\partial S}\mathrm{mean.curv.}(\partial S,b)\,\mathrm{d}b-4\pi\chi(S)

vanishes identically. Let

(X,g)

be a compact Riemannian manifold of dimension

n\geq 3

with smooth boundary, associated with a continuous map

{f=(f_1,\ldots,f_{n-2}) \colon X\to [0,1]^{n-2}}

, where

\operatorname{Lip}f_{i}\leq d_{i}^{-1}

for positive constants

d_{i}

. For a universal constant

C_{n}(d_{i})

depending only on

d_{i}

and

n

, we show that there is a compact surface

\Sigma

homologous to the

f

-pullback of a generic point such that each component

S

of

\Sigma

satisfies

Q_{GB}^{X}(S)\leq C_{n}(d_{i})\cdot\operatorname{area}(S)

, where

Q^{X}_{GB}(S)=\int_{S} \operatorname{Sc}(X,s)\,\mathrm{d}s+\int_{\partial S}\mathrm{mean.curv.}(\partial X,b)\,\mathrm{d}b-4\pi\chi(S).

As corollaries, if

X

has “large positive” scalar curvature, we prove in a variety of cases that if

X

“spreads” in

(n-2)

directions “
distance-wise
”, then it
cannot
much “spread” in the remaining 2-directions “
area-wise
”.
Air quality index prediction using seasonal autoregressive integrated moving average transductive long short‐term memory
Authors: Deepan Subramanian , Saravanan Murugan 
Published: February 2024

AbstractWe obtain the air quality index (AQI) for a descriptive system aimed to communicate pollution risks to the population. The AQI is calculated based on major air pollutants including O3, CO, SO2, NO, NO2, benzene, and particulate matter PM2.5 that should be continuously balanced in clean air. Air pollution is a major limitation for urbanization and population growth in developing countries. Hence, automated AQI prediction by a deep learning method applied to time series may be advantageous. We use a seasonal autoregressive integrated moving average (SARIMA) model for predicting values reflecting past trends considered as seasonal patterns. In addition, a transductive long short‐term memory (TLSTM) model learns dependencies through recurring memory blocks, thus learning long‐term dependencies for AQI prediction. Further, the TLSTM increases the accuracy close to test points, which constitute a validation group. AQI prediction results confirm that the proposed SARIMA–TLSTM model achieves a higher accuracy (93%) than an existing convolutional neural network (87.98%), least absolute shrinkage and selection operator model (78%), and generative adversarial network (89.4%).
Öğretmenlerin Dijital Yeterliliklerinin İncelenmesi
Authors: Köksal Döne , Canlı Suzan 
Published: February 2024

Bu araştırmanın amacı, öğretmenlerin dijital yeterlilik algılarını incelenmektir. Araştırmada anlık tarama modeli kullanılmıştır. Araştırmanın örneklemi, uygun örnekleme yöntemi ile belirlenen 149 öğretmenden oluşmuştur. Araştırmanın verileri “Eğitimciler İçin Dijital Yeterlilik Ölçeği” kullanılarak toplanmıştır. Normal dağılım göstermediği belirlenen verilerin analizinde betimsel istatistik analizi, Mann Whitney U testi ve Kruskal Wallis H testi kullanılmıştır. Öğretmenlerin dijital yeterlilik algılarının ölçeğin tamamında, Mesleğinde Dijital Becerilerin Kullanımı, Öğretme ve Öğrenme, Öğrencilerin Dijital Yetkinliklerinin Kolaylaştırılması boyutlarında Bütünleştirici; Dijital Kaynaklar, Değerlendirme, Öğrencilerin Güçlendirilmesi boyutlarında Kâşif düzeyinde olduğu belirlenmiştir. Cinsiyet, yaş ve branş değişkenleri öğretmenlerin dijital yeterliliğinde anlamlı bir farklılık oluşturmamıştır. Görev yapılan okul türü değişkeni sadece Mesleğinde Dijital Becerilerin Kullanımı boyutunda anlamlı farklılık oluşturmuştur. Araştırmanın sonucuna göre öğretmenlerin dijital yeterlilikleri istenilen seviyede değildir. Bununla birlikte, öğretmenlerin dijital pedagojik yeterlilikleri açısından daha yetersiz oldukları sonucuna ulaşılmıştır.
Üstün Yetenekli Öğrencilerle Çalışan Öğretmenler İle Yapılan Çalışmaların İncelenmesi: Bir İçerik Analizi Çalışması
Authors: Avcı Gamze , Sakallı Demirok Mukaddes 
Published: February 2024

Üstün yetenekli öğrencilerle çalışan öğretmenlerle yapılan çalışmaların önemli olduğu düşünülmektedir. Bu araştırmanın amacı, üstün yetenekli öğrencilerle çalışan öğretmenlerle yapılan çalışmaların incelenmesidir. Makalelerin analiz edilmesinde nitel araştırma yöntemlerinden belge/doküman incelemesi tekniği kullanılmıştır. Çalışmada 2006-2021 yılları arasında Google Akademik, ERIC, ELSEVIER ve diğer uluslararası veri tabanlarında yayınlanan üstün yetenekli öğrencilerle çalışan öğretmenler ile yapılan 10 Türkçe 10 yabancı makale incelenmiştir. Araştırmanın verileri içerik analizi tekniği kullanılarak analiz edilmiştir. Makalelerin yayın yılı, yazar sayısı, yayınlandığı dergi, anahtar kelime sayısı, katılımcı sayısı, yapıldığı ülke, veri analiz yöntemleri, veri toplama araçları açısından üstün yetenekli bireylerin eğitimine ilişkin öğretmenler ile yapılan çalışmalar incelenmiştir. Bu çalışma kapsamında incelenen makalelerin yoğunlukla 2015 yılında yapıldığı, makalelerde yer alan yazar sayılarının en fazla 2 yazarlı olduğu anahtar kelime olarak en fazla 5 anahtar kelime kullanıldığı, katılımcı sayılarının 51 ile 100 arasında olduğu sonuçlar arasında yer almaktadır.
Pengaruh Model Pembelajaran Realistic Mathematics Education Terhadap Kemampuan Literasi Numerasi Siswa
Authors: Mubarokah Nur Lailatul , Khuzaini Nanang , . Suhartati 
Published: February 2024

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh model pembelajaran Realistic Mathematics Education (RME) terhadap kemampuan literasi numerasi siswa. Penelitian ini menggunakan desaian Non-equivalent Control Group Design. Sampel yang digunakan dalam penelitian ini menggunkan teknik purposive sampling dengan jumlah sampel sebanyak 70 siswa. Pengumpulan data penelitian ini menggunkan tes kemampuan literasi numrasi dan dokumentasi. Hasil penelitian ini menujukkan bahwa model pembelajaran realistic mathematics education (RME) berpengaruh terhadap kemampuan literasi numerasi siswa kelas 12 MIPA 1 SMA Negeri 1 Sedayu. Berdasarkan perhitungan yang dilakukan dengan menggunakan program software SPSS 25 for windows, didapatkan hasil Asymp. Sig. (2-tailed) sebesar 0,011 dimana nilai signifikansi yang artinya penggunaan model pembelajaran Realistic Mathematics Education (RME) memberikan pengaruh terhadap kemampuan literasi numerasi siswa.
Predictive Analytics by Integrating Google Analytics and Pega AI
Authors: Tammana Praveen kumar 
Published: February 2024

Purpose: This paper explores the transformative integration of Google Analytics and Pega AI in predictive analytics, highlighting its potential to revolutionize data-driven decision-making.
Methodology: By harnessing Google Analytics' extensive user interaction data alongside Pega’s advanced AI algorithms, businesses can create predictive models with unprecedented accuracy.
Findings: This integration facilitates enhanced customer behavior predictions, optimized marketing strategies, and improved operational efficiencies. Through real-world case studies, the paper evidences the successful application and significant impacts of this synergy.
Unique Contributor to Theory, Policy and Practice: Ultimately, the integration of Google Analytics with Pega AI emerges as a pivotal advancement, offering businesses unparalleled insights and a competitive edge in today’s data-centric landscape.
‘Have Mercy on Me’
Authors: Jackson Glenna S. 
Published: February 2024

The author defends a single thesis and leads readers consistently to her conclusion: the Canaanite woman is not a Gentile but a proselyte. The thesis is a good one, and Glenna Jackson defends it thoroughly and passionately. Luzia Sutter Rehmann, Review of Biblical Literature, July 2004--Luzia Sutter Rehmann "Review of Biblical Literature "
"The author of this scholarly work offers a thorough and refreshing study of the text Students of Matthew's Gospel will appreciate this work, along with its abundant bibliography." -The Bible Today, May/June 2003
THE INTERSECTION OF AI AND QUANTUM COMPUTING IN FINANCIAL MARKETS: A CRITICAL REVIEW
Authors: Akoh Atadoga  , Chinedu Ugochukwu Ike  , Onyeka Franca Asuzu  , Benjamin Samson Ayinla  , Ndubuisi Leonard Ndubuisi  , Rhoda Adura Adeleye  
Published: February 2024

This review explores the intricate and evolving relationship between Artificial Intelligence (AI) and Quantum Computing within the realm of financial markets. As technology continues to advance, the integration of AI and quantum computing has emerged as a paradigm-shifting force, promising unprecedented capabilities to analyze and navigate the complexities of financial systems. This critical review delves into the synergies, challenges, and potential disruptions arising from the intersection of these two transformative technologies. The utilization of AI in financial markets has witnessed remarkable progress in recent years, with machine learning algorithms, deep neural networks, and natural language processing contributing to enhanced data analysis, predictive modeling, and decision-making. However, the computational demands of these sophisticated algorithms often surpass the capabilities of classical computing architectures, paving the way for the exploration of quantum computing as a potential solution. Quantum computing, with its ability to process vast datasets and perform complex calculations at speeds inconceivable by classical computers, presents a revolutionary approach to addressing the computational challenges faced by AI in financial applications. The review critically examines the potential advantages of quantum computing, such as its capacity to solve optimization problems, simulate financial scenarios, and secure data through quantum cryptography. Despite the promises, the integration of AI and quantum computing in financial markets is not without hurdles. The review investigates the current limitations, including hardware constraints, error correction challenges, and the high costs associated with quantum computing infrastructure. Ethical considerations and regulatory frameworks surrounding the implementation of such powerful technologies in financial decision-making also warrant careful examination. This critical review provides a comprehensive analysis of the intersection of AI and quantum computing in financial markets, shedding light on the transformative potential, challenges, and ethical implications that accompany this cutting-edge convergence of technologies. Understanding this intersection is crucial for stakeholders seeking to navigate the evolving landscape of finance and technology.
Keywords: AI, Quantum, Computing, Financial Market, Review.
The Transparent Eyes from Limbo in Hisaye Yamamoto’s Stories
Authors: Yamabe Shota 
Published: February 2024

ABSTRACT
In her short-story collection Seventeen Syllables and Other Stories (1988), Japanese-American writer Hisaye Yamamoto (1921–2011) depicts the spiritual predicament of the Nisei, the children of Japanese immigrants, after World War II when they were incarcerated in camps. Because they were born in America, the Nisei are not Japanese like their parents, nor are they familiar with Japanese culture and tradition; however, they are not American either. Japanese Americans were not considered “proper” Americans because Japan attacked Pearl Harbor in December 1941. Yamamoto depicts the Nisei’s vulnerability through various motifs, the most overt of which is the imagery of perception. As the Nisei straddle the line between Japan and America and therefore lack a sense of cultural belonging, their seeing is free of national ideologies yet also unrooted. This analysis connects the Nisei’s vulnerability to Limbo in Dante’s Inferno, whose inhabitants are not condemned to eternal torture but remain trapped in indeterminacy without hope of salvation. The souls in Limbo signify the hazy status of the Nisei, who exist in the purgatory of identity.
PENINGKATAN KEMAMPUAN BAHASA INDONESIA MELALUI APLIKASI HALO BAHASA PADA MAHASISWA SEKOLAH TINGGI AGAMA BUDDHA NEGERI RADEN WIJAYA WONOGIRI
Authors: Harto Sugik , Sudarto  
Published: February 2024

Tujuan dalam penelitian ini adalah untuk mengetahui peningkatan kemampuan Bahasa Indonesia pada tingkat mahasiswa menggunakan media daring Aplikasi Halo Bahasa. Penelitian ini ini dilakukan di Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri pada bulan September-Oktober 2022. Kelas penelitian yang digunakan dalam penelitian ini adalah kelas ilmu komunikasi semester satu. Penelitian ini terdiri dari dua tahapan utama. Hasil penelitian menunjukan bahwa kemampuan Bahasa Indonesia mahasiswa ilmu komunikasi semester satu mengalami peningkatan dengan menggunakan aplikasi Halo Bahasa. Peningkatan kemampuan terjadi setelah menggunakan aplikasi Halo Bahasa dengan peningkatan nilai rata-rata kelas dari 55 meningkat menjadi 81.
Kata Kunci: Halo Bahasa, Prestasi Belajar Mahasiswa, Bahasa Indonesia
Ảnh hưởng của xâm nhập mặn và thời tiết cực đoan đến hoạt động ương - nuôi cá tra tại Sóc Trăng
Authors: Nguyễn Văn Quỳnh Bôi  , Nguyễn Lâm Anh  , Nguyễn Trọng Lương  
Published: February 2024

Xâm nhập mặn và các hiện tượng thời tiết cực đoan gây ra nhiều ảnh hưởng đối với hoạt động ương – nuôi cá tra tại Sóc Trăng. Nghiên cứu được tiến hành theo phương pháp khảo sát áp dụng công cụ phỏng vấn dựa trên bộ câu hỏi bán cấu trúc trên 97 đối tượng là những hộ ương – nuôi cá thể, các quản lý trang trại nuôi của các công ty và những người nắm thông tin tại Sóc Trăng. Hầu hết các đối tượng đã nhận thức được ảnh hưởng của xâm nhập mặn và các cực đoan về thời tiết đến hoạt động này và cho rằng tương đối khó khăn trong việc khắc phục xâm nhập mặn. Ngoài ra, tỷ lệ lớn nhất ở cả 3 nhóm đối tượng đều cho rằng đã có những bất thường – cực đoan về khí hậu – thời tiết xảy ra ở mức độ nào đó và xâm nhập mặn là vấn đề được quan tâm – lo ngại nhiều nhất. Trong tương lai, xâm nhập mặn vẫn là vấn đề lo ngại cao nhất đối với hoạt động ương – nuôi cá tra ở tất cả các nhóm đối tượng. Tuy nhiên, biến động nhiệt độ theo thời gian, thời tiết thất thường,… được quan tâm nhiều hơn bởi những người nắm thông tin nhưng không được đánh giá cao bởi những đối tượng trực tiếp sản xuất. Thay đổi kỹ thuật ương – nuôi cá tra được cả 3 nhóm xem như là biện pháp thích ứng quan trọng nhất để ứng phó với biến đổi khí hậu và xâm nhập mặn.
Từ khóa: Biến đổi khí hậu – xâm nhập mặn, bộ câu hỏi khảo sát, Sóc Trăng, ương – nuôi cá tra
Alteration Mapping for Porphyry Cu Targeting in the Western Chagai Belt, Pakistan, Using ZY1-02D Spaceborne Hyperspectral Data
Authors: Liu Lei , Yin Chuntao , Shaheen Khalil Yasir , Hong Jun , Feng Jilu , Zhang Huishan 
Published: February 2024

Abstract
The Chagai porphyry Cu belt in Pakistan is an important metallogenic terrain extending approximately 400 km in an east-west direction. Most of the known porphyry Cu deposits, such as the world-class Reko Diq deposit and Saindak deposit, are located in the western Chagai belt. In this study, the ZY1-02D hyperspectral data acquired by a recently launched spaceborne imaging spectrometer with 166 bands within a 0.4- to 2.5-μm spectral region were used to map mineral information over 8,000 km2 for exploring potential targets of porphyry Cu mineralization in the western Chagai belt. False color composite, spectral angle mapper, and wavelength position mapping methods were used in this research leading to the identification of a series of alteration minerals (including muscovite [sericite], kaolinite, alunite, epidote, chlorite, and calcite) from ZY1-02D data. The alteration mineral maps derived from ZY1-02D data match well with the known deposits and field inspections. Twenty-three new targets were identified as potential porphyry Cu mineralization targets for further exploration in the study area. Three targets, north of Saindak, Koh-i-Sultan, and Durban Chah, and six alteration sites in the southwest of Durban Chah, were inspected in the field, and Cu-Au mineralization was confirmed in all these inspected areas. As the ZY1-02D hyperspectral data covers most of the land area of the earth, this study provides new insights for mineral exploration and lithologic mapping in remote regions.
The Competitive Position of Countries Seeking Exploration and Development
Investment
Authors: Otto James M. 
Published: February 2024

Abstract
Companies have many countries from which to select when deciding where to spend their limited exploration and development budgets. The evolutionary trends in the investment environment tend to be different for developed, developing, and transitional economies. In developed economies there are issues such as access to land, security of tenure, the not-in-my-backyard syndrome, native title, and permitting delays. In developing nations, the main trend has been to reduce barriers to investment by reforming the regulatory and fiscal systems. Likewise, transition economies have also initiated reform efforts, but these often proceed in a number of steps as socialist ways of approaching the sector are progressively relinquished, typically in several phases of reform. This study identifies over 60 factors that may influence a company’s investment decision to invest in one country versus another. There are numerous criteria that can influence the decision process and these can be used to rank countries. The investment criteria can be divided into nine principal categories: geologic, political, regulatory, marketing, fiscal, monetary, environmental and social, operational and profit criteria, and when applied in a systematic way, can yield a profile of both geologic prospectivity and country risk. Strategies used by governments to attract investment include means by which perceptions concerning geologic prospectivity can be enhanced, as in the provision of information regarding the geologic environment and availability of open ground, regulatory system improvements, and direct marketing. This study concludes that nations can improve the likelihood of mineral sector investment by taking steps to satisfy investor decision criteria through informed policies and laws. Over the past two decades more than 110 nations have revised their mining and related laws or made major amendments to them. The result has been a lowering of many regulatory and fiscal risks; however, many risks remain that are beyond the control of government.
Metallurgical Advances and Their Impact on Mineral Exploration and
Mining
Authors: Hoal Karin O. , McNulty Terry P. , Schmidt Roland 
Published: February 2024

Abstract
Revolutionary advances in extractive metallurgy and mineral processing and their evolutionary application have significantly altered the processing operations of mining companies over time by increasing productivity and reducing costs. Some developments have had such an impact on the industry that new types of mineral deposits can be developed and waste becomes ore. Historically, it has taken years, in some cases decades, for metallurgical developments to affect exploration strategies, largely because of limited communications between geologists and metallurgists. Seven significant advances in the extractive sciences are viewed as having the highest impact on mineral exploration and mining. These are solvent extractionelectrowinning, leach processing, bioprocessing, flash smelting, geometallurgy, energy-efficient fine grinding, and underground processing. Developments in these fields have resulted in commercialized or piloted processes that demonstrably reduce capital and operating costs and thereby increase shareholder value. Two process developments with the potential to significantly affect the industry in the future are breaking rock in tension and in situ leach of metals. The benefits of metallurgical advances to exploration include reduced processing and capital costs, as well as elimination of repeat characterizations through improved analytical instrumentation and data transfer capabilities. New ore deposits are less likely to be overlooked or underappreciated when metallurgical and processing developments are integrated into team-based exploration planning. An example of new target generation is zinc oxide ore, such as that from Skorpion, Namibia, that has been made economic by hydrometallurgical techniques. As exploration targets and discoveries become increasingly deep, the successful development of orebodies will depend in part on the ability of metallurgists to develop innovative processing methods, such as pressure leach and bioleach hydrometallurgical technologies, or developments in mineral processing. To some extent, the ore geology of a deposit may predetermine the processing methods to be applied. However, the complex relationships of mineralogy, grade, and location, plus energy, capital, and other costs make the development of new extractive techniques a virtual necessity for exploration success.
Applying ne bis in idem in the aftermath of bpost and Nordzucker: The case of EU competition policy in digital markets
Authors: Colangelo Giuseppe , Cappai Marco 
Published: February 2024

In bpost and Nordzucker, the Grand Chamber of the European Court of Justice finally arrived at a unified test for ne bis in idem, applicable to all areas of EU law. It rejected the antitrust-specific threefold condition of idem (same offender, same facts, and same protected legal interest) developed in Aalborg Portland and Toshiba, and focused solely on material acts, in line with Van Esbroek and Menci. The judgments are extremely timely given the increasing risks of overlapping decisions as a result of recent legislative initiatives undertaken at EU and national level targeting large online platforms. This article maintains that although bpost and Nordzucker are welcome, some relevant issues remain unaddressed and may undermine the sound implementation of the ne bis in idem principle in the digital economy.
ne bis in idem, Digital Markets Act, competition law, platforms, enforcement
VITILIGO KASALLIGINI DAVOLASH USULLARI
Authors: Abdulloyev Obidjon Shaxabidinovich , Ibrohimova Aziza Komiljon qizi , Lutfulin Qaxramon Lutfullayevich 
Published: February 2024

Mazkur maqolada vitiligo (vitiligo), ya’ni xalq tabobatida teridagi oq dog’lar deb nomlangan kasallik inson organizimida ichki a’zolar va sistemalar buzilishi natijasida melanin pigmenti yetishmasligi natijasida kelib chiqshi kuzatilishi ko'rsatilgan. Zamonaviy tibbiyot va xalq tabobatida ushbu kasallikni oldini va davolash usullari taqqosalb o’rganilgan.
Penyuluhan Penanganan Nyeri Punggung Bawah Pada Guru Sekolah Dasar
Authors: Sudaryanto Wahyu Tri , Maulidya Maulidya , Fitri Nabila Nur Afifah , Oktaviani Evi , Arimbi Cindy Kartika , Kukuh Achmad 
Published: February 2024

Nyeri punggung bawah menjadi salah satu masalah kesehatan yang sering terjadi di masyarakat. Nyeri punggung bawah disebabkan oleh kurangnya perhatian masyarakat terhadap postur tubuh yang benar ketika bekerja. Tujuan dari penyuluhan penanganan nyeri punggung bawah adalah untuk membantu meningkatkan pemahaman tentang penanganan nyeri punggung bawah sehingga dapat meningkatkan kualitas hidup. Metode kegiatan adalah dengan memberikan materi beserta demonstrasi latihan tentang penanganan nyeri punggung bawah terhadap 8 orang guru di SDN 009 Tambusai. Hasil kegiatan ini menunjukan bahwa guru memiliki pengetahuan yang rendah terkait penanganan nyeri punggung bawah. Dari penyuluhan yang telah dilakukan dapat disimpulkan bahwa guru mengetahui penanganan nyeri punggung bawah dengan cara memperhatikan postur duduk dan latihan.