bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nilai-Nilai Spiritual dan Sosial Muslim – Minoritas di Manggarai Nusa Tenggara Timur (Studi Pengembangan Academic Culture pada Siswa MI Al Fitrah Ojang Desa Ojang Kecamatan Reok Barat Kabupaten Manggarai)
Authors: Sanistriwana Sanistriwana 
Published: September 2024

Madrasah dikenal sebagai sekolah berciri khusus keislaman sebagai jenis pendidikan agama tingkat dasar yang menekankan pada peningkatan kecerdasan anak bangsa dan mewujudkan manusia Indonesia seutuhnya yakni yang beriman dan bertaqwa terhadap Tuhan Yang Maha Esa dan berbudi pekerti luhur, memiliki pengetahuan dan keterampilan, kesehatan jasmani dan rohani, kepribadian mandiri dan bertanggungjawab pada masyarakat dan bangsa. MI Al Fitrah Ojang di Reok Barat Kabupaten Manggarai dibangun untuk melayani lebih dekat anak-anak Islam usia sekolah yang hidup di tengah masyarakat mayoritas non muslim. Tentu tidak mudah menilai secara langsung interaksi sosial mereka dengan teman sebaya dari kalangan non muslim sehingga madrasah memiliki strategi mengelimir perilaku yang menyimpang (di luar dari yang syariatkan). Penelitian ini bertujuan untuk mendeskripsikan konsep, strategi, dan implikasi pengembangan academic culture berbasis spiritual dan sosial pada siswa MI Al Fitrah Ojang, Desa Para Lando Reok Barat. Penelitian ini menggunakan metode deskiptif kualitatif dengan informen sebagai objek penelitian yang terdiri dari kepada sekolah, guru kelas IV dan V, Tokoh Masyarkat Islam dan Kristen, dan Tokoh Agama Islam. Total informan sebanyak 23 orang.Hasil penelitian menunjukkan bahwa konsep pengembangan academic culture berbasis nilai-nilai spiritual dan sosial siswa di MI Al Fitrah Ojang di adopsi dari mata pelajaran Aqidah Akhak, Al Qur’an Hadist, Fiqh, PKn, dan IPS. Konsep Pengembangan academic culture berbasis spiritual meliputi sholat fardu dan sunnat (dhuha), Qira’atul Qur’an, menghafal do’a-do’a pendek, menghormati orang tua, dan menghormati guru. Sedangkan konsep pengembangan academic culture berbasis nilai-nilai sosial meliputi : sikap jujur. Disiplin, tanggung jawab, teleransi, gotong royong, santun, dan percaya diri. Strategi pengembangan academic culture dilakukan metode langsung (direct metode), keteladanan (modeling), fasilitasi (facilitation), dan pembiasaan (habituation). Berdasarkan hasil kajian bahwa pengembangan adademic culture berimplikasi langsung pada siswa MI AL Fitra terutama pada aspek kognitif, afektif, dan psikomotorik. Impilkasi pada masyarakat muslim-minoritas berupa kecenderungan memajukan MI Al Fitrah, taat beribadah di masjid, dan menutup diri dengan pihak non muslim (muslim-minoritas militan); kecenderungan memajukan MI, sewaktu-waktu sholat berjamaah di masjid, dan terbuka dengan non muslim (muslim-minoritas moderat-toleran); memajukan MI namun jarang ke masjid, dan selalu bergau dengan non muslim (muslim-minoritas singkritas). Sedangakn implikasi bagi masyarakat kristen berupa perasaan senang dan bangga dengan kepribadian anak-anak muslim tersebut.Kata kunci : Academic culture, Siswa MI Al Fitrah, Muslim-Minoritas, Ojang Desa Para Lando.
On Ramsey numbers for trees versus fans of even order
Authors: Sherlin Intan , Saputro Suhadi Wido , Baskoro Edy Tri , Oktariani Finny 
Published: September 2024

<p style="text-align: justify;">Given two graphs <em>G</em> and <em>H</em>. The graph Ramsey number <em>R</em>(<em>G</em>, <em>H</em>) is the least natural number <em>r</em> such that for every graph <em>F</em> on <em>r</em> vertices, either <em>F</em> contains a copy of <em>G</em> or <span>F̅</span> contains a copy of <em>H</em>. A vertex <em>v</em> is called a dominating vertex in a graph <em>G</em> if it is adjacent to all other vertices of <em>G</em>. A wheel <em>W</em><sub>m</sub> is a graph consisting one dominating vertex and <em>m</em> other vertices forming a cycle. A fan graph <em>F</em><sub>1,m</sub> is a graph formed from a wheel <em>W</em><sub>m</sub> by removing one cycle-edge. In this paper, we consider the graph Ramsey number <em>R</em>(<em>T</em><sub>n</sub>,<em>F</em><sub>1,m</sub>) of a tree <em>T</em><sub>n</sub> versus a fan <em>F</em><sub>1,m</sub>. The study of <em>R</em>(<em>T</em><sub>n</sub>,<em>F</em><sub>1,m</sub>) has been initiated by Li et. al. (2016) where <em>T</em><sub>n</sub> is a star, and continued by Sherlin et. al. (2023) for <em>T</em><sub>n</sub> which is not a star and fan <em>F</em><sub>1,m</sub> with even <em>m</em> ≤ 8. This paper will give the graph Ramsey numbers <em>R</em>(<em>T</em><sub>n</sub>,<em>F</em><sub>1,m</sub>) for odd <em>m</em> ≤ 8.</p>
Deforestation and human development in the Brazilian tropical dry forest
Authors: Alencar Lucas , Parry Luke , Melo Felipe 
Published: September 2024

Abstract

The relationship between deforestation and human development is contested in Latin America and may vary between biomes. We evaluated the boom-bust hypothesis across agricultural frontiers in the Brazilian Caatinga dry forest, using panel data (1991-2000-2010) and cross-sectional data (2010) from 1207 municipalities. Municipalities in the advanced deforestation stage (> 66% forest cover lost) had the best development outcomes in 1991 yet by 2010 no indicators were superior to those of intermediate (33 > 66%) and initial stages (< 33%). Initial stage municipalities showed least improvement in development metrics across time, whereas progress was quicker within intermediate frontier stages. Relative improvements in longevity, poverty alleviation, income inequality, and child mortality did not result in a “bust”, but instead, progress stagnated in advanced stage municipalities. Our cross-sectional analysis used a quasi-experimental approach and control for spatial autocorrelation and revealed a relative boom-bust in five of six development indicators. Overall, we find strong evidence that exploitation of natural resources is insufficient for achieving sustained development progress.
Identification of immune-related hub genes and potential molecular mechanisms involved in COVID-19 via integrated bioinformatics analysis
Authors: Zhu Rui , Zhao Yaping , Yin Hui , Shu Linfeng , Ma Yuhang , Tao Yingli 
Published: September 2024

Abstract

Background:COVID-19, caused by the SARS-CoV-2 virus, poses significant health challenges worldwide, particularly due to severe immune-related complications. Understanding the molecular mechanisms and identifying key immune-related genes (IRGs) involved in COVID-19 pathogenesis are critical for developing effective therapeutic strategies.
Methods: This study integrated bioinformatics approaches and Mendelian randomization (MR) analysis to elucidate the roles of IRGs in COVID-19. Differentially expressed genes (DEGs) were identified from GEO datasets comparing COVID-19 patients and healthy controls. IRGs were obtained from the ImmPort database. Functional enrichment, pathway analysis, and immune infiltration assessments were subsequently conducted to determine the biological significance of the identified IRGs.
Results: A total of 360 common differential IRGs were identified. Among these genes, CD1C, IL1B, and SLP1 have emerged as key genes with potential protective effects againstCOVID-19. Pathway enrichment analysis revealed that CD1C is involved in terpenoid backbone biosynthesis and Th17 cell differentiation, while IL1B was linked to B-cell receptor signaling and the NF-kappa B signaling pathway. Significant correlations were observed between key genes and various immune cells, suggesting their influence on immune cell modulation in COVID-19.
Conclusions: This study provides new insights into the immune mechanisms underlying COVID-19, highlighting the crucial role of IRGs in disease progression. These findings suggest that CD1C and IL1B could serve as potential therapeutic targets. The integrated bioinformatics and MR analysis approach offers a robust framework for further exploration of immune responses in patients with COVID-19 and the development of targeted therapies.
Frequency and pattern of patients with Dextro transposition of great arteries undergoing computed tomography angiography in Pakistan and Iran: an international comparative study
Authors: AKHTAR Parveen , TEBHA Sameer Saleem , KHAN NaveedUllah , SIDDIQUI Hasan Fareed , KHAN Fahad , SATTAR Abdul 
Published: September 2024

Abstract

BACKGROUNDː Transposition of the Great Arteries (TGA) is one of the most common types of congenital heart defects (CHD). Recent advances in computed tomography angiography (CTA) have helped in the detection of this condition. However, the scientific literature remains scarce with regards to a comparison between Iran and Pakistan, hence this study was conducted.
METHODSː A cross-sectional study was conducted comparing patient cohorts from Pakistan and Iran. Patients diagnosed with CHD as confirmed by CTA, aged less than 18-year-old were included in this study. Data regarding demographics, nationality, and any CHDs was extracted via patient interviews which were further supplemented by screening of the hospital records. Data analysis was conducted using SPSS version 21 (Chicago, IL: IBM SPSS Statistics) where a p-value <0.05 was statistically significant.
RESULTSː Levocardia was the most common cardiac axis in both of our populations (n=119, 70.0% for Pakistan and n=31, 100.0% for Iran). Ventricular septal defect (VSD) was noted in 154 (90.6%) and 15 (48.4%) of the patients from the Pakistani and Iranian cohort, respectively. Prevalence of patent ductus arteriosus (PDA) was found to be significantly associated between the populations with an increased odds of PDA observed in the Iranian population (n=27, 87.1%) compared to the Pakistani population (n=92, 54.1%) (p <0.001).
CONCLUSIONSː Our study highlights an important association of PDA between Pakistan and Iran, with increased odds of PDA in the Iranian population. Moreover, the prevalence of various CHDs in both populations raises concerns that warrant investigation to study the possible contributory factors.
A case of refractory nasal dermatomyositis-like disease in an adult Poodle
Authors: Oh Songju , Jang Geunhwan , Cho Seung-Bum , Kim Suyeon , Han Jungwoo , Kim Ha-Jung 
Published: September 2024

Abstract

1. Background
Canine inflammatory myopathy (IM) is a disease characterized by nonsuppurative cellular infiltration of the skeletal muscle. Dermatomyositis is primarily observed in Collies, Sheepdogs, and their crossbreeds. However, it also appears sporadically in other species. "Dermatomyositis-like disease" is the term used in such cases. Dermatomyositis-like disease has been occasionally described in other breeds, but it has never been reported in Poodles. Additionally, cases in adult dogs have not been reported. This report outlines the successful management of a case involving an adult small breed dog with dermatomyositis-like disease through the use of immunosuppressive drugs and supportive medications.
2. Case presentation
A 10-year-old spayed female Toy Poodle dog presented with nasal edema, erythema, pain, pruritus, and discharge. The size oflesion had gradually increased, measuring 29×22.8×17.8 mm at the first visit. No infection was detected on microscopic cytologic evaluation of the nasal discharge. On radiography and computed tomography (CT), the nasal septum structure was normal, and bony invasion was not identified. On rhinoscopy, the soft tissues were thickened and erythematous. Decreased lumen diameter and severe congestion were found in the right nasal cavity. On histological examination, there was multifocal-to-coalescing moderate-to-severe inflammation and fibrosis in the deep dermis and skeletal muscle layer. The inflammatory cells were primarily lymphocytes and plasma cells.
3. Conclusions
Based on the patient history and test results, the patient was diagnosed with canine dermatomyositis. Treatment included immunosuppressive agents (prednisolone, cyclosporine) and antibiotics (amoxicillin/clavulanate). This treatment reduced the nasal edema, nasal erythema, and size of lesion. The patient’s clinical signs improved after treatment, and the dog demonstrated clinical benefits at a follow-up visit at 17 weeks. Although canine dermatomyositis usually develops before six months of age, this report demonstrates that this disease can also occur in adult dogs.
Eucommia ulmoides Oliver polysaccharide stimulates bone formation by improving osteoblast differentiation via ERK/BMP-2/SMAD signaling
Authors: Song Jiyu , Zhang Yongfeng , Jin Xinghui , Zhu Yanfeng , Hu Min , Li Yutong 
Published: September 2024

Abstract

Osteoporosis (OP) is a metabolic disease characterized by low bone mineral mass owing to osteoblast dysfunction. Eucommia ulmoides Oliver (EuO) is a Chinese herbal medicine traditionally used to treat OP. Here, a polysaccharide purified from the EuO cortex (EuOCP3) was administered to OP mice constructed with dexamethasone (Dex) to investigate its anti-OP activity. EuOCP3 significantly improved Dex-induced bone microarchitecture destruction, increased osteoblast numbers and surface, and stimulated an increase in the expression of osteoblast differentiation markers in the femurs of OP mice. Furthermore, EuOCP3 was applied to MC3T3-E1 cells to further explore its effects on osteoblast differentiation. EuOCP3 significantly promoted osteoblast differentiation and increased the level of phosphorylated extracellular signal-regulated kinase1/2 (ERK1/2) and SMAD1/5/8 without influencing cell proliferation. The EuOCP3-mediated enhancement of osteoblast differentiation-related proteins and phosphorylated SMAD1/5/8 expression levels was strongly suppressed by an ERK inhibitor (PD98059), which confirmed the critical role of ERK signaling in EuOCP3-induced osteoblast differentiation. In summary, EuOCP3 can stimulate bone formation by improving osteoblast differentiation via ERK/BMP-2/SMAD signaling, indicating the potential use of EuOCP3 as a functional ingredient in food products for anti-OP treatment.
Device Response Principles and the Impact on Energy Resolution of Epitaxial Quantum Dot Scintillators with Monolithic Photodetector Integration
Authors: Minns Allan , Mahajan Tushar , Tokranov Vadim , Yakimov Michael , Oktyabrsky Serge , Hedges Michael , Murat Pavel 
Published: September 2024

Abstract

To meet detector performance benchmarks set for medical imaging, high energy physics and national security applications, scintillator materials with picosecond-scale timing and high light yield have been created. These epitaxially grown GaAs crystals contain InAs quantum dots (QDs) forming a semiconductor heterostructure which emits light at wavelengths where GaAs is transparent. Total internal reflection (TIR) provides a cladding effect and monolithic photodetector (PD) integration enables efficient light collection. Previously, we reported on devices with complex, high variance responses to monoenergetic sources. The origin of these responses is now elucidated and utilized to achieve material-related energy resolution values of 2.4% with alpha particles. These findings place energy resolution alongside luminescence timescale, photon yield, and radiation hardness as favorable properties of these engineered materials.
Association between sarcopenia and constipation in patients with dysphagia: A cross-sectional study
Authors: Kishima Masako , Wakabayashi Hidetaka , Itoda Masataka , Hachiuma Chiro , Nishioka Shinta , Momosaki Ryo 
Published: September 2024

Abstract

Purpose We investigated the relationship between sarcopenia and constipation at multiple facilities in Japan.
Method This cross-sectional study used data from the Japanese Sarcopenic Dysphagia Database. The 19 hospitals included nine acute care hospitals, eight rehabilitation hospitals, two long-term care hospitals, and one home-visiting rehabilitation center. The participants were 460 patients aged 20 years with swallowing disorders. Sarcopenia was diagnosed by the 2019 Asian Working Group for Sarcopenia criteria. Constipation was diagnosed based on the definition of the Japanese Chronic Constipation Treatment Guidelines. We investigated whether there was a significant difference in the prevalence of constipation between patients with and without sarcopenia. Logistic regression analysis was performed to examine the association between sarcopenia and constipation after adjusting for age, sex, facility, CCI, and enteral nutrition.
Results The participants were composed of 229 males (50%) and 231 females (50%), with a mean age of 81 ± 10 years. Of the 460 patients, 404 (88%) had sarcopenia, and 72 (16%) had constipation. The logistic regression analysis revealed no significant association between sarcopenia and constipation (odds ratio: 1.279, 95% confidence interval: 0.492, 3.324). Factors associated with constipation were facility-specific (odds ratio: 3.695, 95% confidence interval: 1.955, 6.983). The prevalence of constipation in rehabilitation hospitals and long-term care hospitals was 20% and 26%, respectively.
Conclusions The prevalence of constipation in patients with sarcopenia was 16%. There was no statistically significant association between sarcopenia and constipation.
Building A Modern Data Platform Based On The Data Lakehouse Architecture And Cloud-Native Ecosystem
Authors: AbouZaid Ahmed , Barclay Peter J. , Chrysoulas Christos , Pitropakis Nikolaos 
Published: September 2024

Abstract

In today’s Big Data world, organisations can gain a competitive edge by adopting data-driven decision-making. However, a modern data platform that is portable, resilient, and efficient is required to manage organisations’ data and support their growth. Furthermore, the change in the data management architectures was accompanied by changes in storage formats, particularly open standard formats like Apache Hudi, Apache Iceberg, and Delta Lake. With many alternatives, organisations are unclear on how to combine these into an effective platform. Our work investigates capabilities provided by Kubernetes and other Cloud-Native software, using DataOps methodologies to build a generic data platform that follows the Data Lakehouse architecture. We define the data platform specification, architecture, and core components to build a proof of concept system. Moreover, we provide a clear implementation methodology by developing the core of the proposed platform, which are infrastructure (Kubernetes), ingestion and transport (Argo Workflows), storage (MinIO), and finally, query and processing (Dremio). We then conducted performance benchmarks using an industry-standard benchmark suite to compare cold/warm start scenarios and assess Dremio’s caching capabilities, demonstrating a 33% median enhancement of query duration with caching.
Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches
Authors: Csulak Eszter , Csivincsik Ágnes , Sré Tamás , Solymosi Norbert , Danka József , Káposztás Zsolt , Nagy Gábor , Dezsényi Balázs 
Published: September 2024

Abstract

Background Human alveolar echinococcosis (HAE), which is caused by Echinococcus multilocularis tapeworm, is an increasing healthcare issue in Hungary. Of the 40 known cases in the country, 25 were detected in the last five years. Our study aimed to reveal the epidemiological backgrounds of these cases.
MethodsWe investigated the spatial impact of potential risk factors of HAE by cluster analysis, and local and global regression models. This analysis was completed by a questionnaire survey on the patients’ lifestyle.
ResultsWe found two HAE hyperendemic foci in the country with very dissimilar biotic and climatic features, and controversial impact of different environmental factors. Only two factors, viz forest cover and socio-economic development, proved important countrywide. The most forested and the least developed districts showed the highest HAE risk. Among the patients, kitchen gardening and dog ownership seemed the most risky activities.
ConclusionsOur models detected an anomaly in one of the poorest regions of Hungary where all risk factors behaved contrary to that of the neighbouring areas. This phenomenon was supposed to be the result of under-detection of the disease, and it called attention to the urgent priority of knowledge dissemination to the public and the healthcare professionals.
Geospatial Analysis of Agroforest Landscape in the Central Western Ghats, India, using Google Earth Engine and Machine Learning
Authors: Noori Shahbaz , H Tabassum , Inamati Shivakumar 
Published: September 2024

Abstract

Assessing land cover land use change (LCLU) in the Central Western Ghats, India is crucial for evaluating ecosystem degradation and environmental processes influenced by climatic and anthropogenic pressures. Despite widespread awareness of the links between biodiversity loss and human wellbeing, the species continue to disappear at an alarming rate. This study investigates the LCLUC dynamics over the past two decades (2002–2023) in Central Western Ghats, spanning an area of 10,419 km2 in Karnataka, India. The Landsat 5 and Landsat 8 satellite imagery served as primary data sources, with Machine Learning Algorithm employed in the Google Earth Engine, a cloud-based platform, to classify images using a Random Forest classifier validated with 17,639 ground training points. The analysis revealed that, dense forest covered largest area (6926.31 ha) followed by open forest (1257.92 ha) and cropland (1195.73 ha). Agroforest and waterbody occupied 249.65 ha and 265.18 ha, respectively, while built-up areas, barren land, and plantation forest constituted 131.38 ha, 83.45 ha and 127.29 ha, respectively. The results indicate a 7.14% reduction in dense forest area, contrasted with a 1.09% increase in agroforestry. The classification achieved an overall accuracy of 94.08% and Kappa index of 0.95. These findings highlight the importance of integrating measures and policies with investment in research and satellite monitoring to curb deforestation in the Central Western Ghats and ensure continuity of Western Ghats in halting degradation and climate change.
Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting]{Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting
Authors: Juárez-Osorio Sandra Leticia , Rivera-Ruiz Mayra Alejandra , Mendez-Vazquez Andres , Rodriguez-Tello Eduardo , López-Romero José Mauricio 
Published: September 2024

Abstract

In this work, we apply 1D quantum convolution in the task of time series forecasting. By encoding multiple points into the quantum circuit to predict subsequent data, each point becomes a feature and the problem becomes a multidimensional one. Taking as basis previous theoretical works which demonstrated that Variational Quantum Circuits (VQCs) can be expressed as multidimensional Fourier series, the capabilities of different architectures and ansatz are explored. This analysis considers the concepts of circuit expressivity and the presence of barren plateaus. Analyzing the problem within the framework of the Fourier series enabled the incorporation of data reuploading in the architecture, resulting in enhanced performance. Rather than a strict requirement for the number of free parameters to exceed the degrees of freedom of the Fourier series, our findings suggest that even a limited number of parameters can produce Fourier functions of higher degrees. This highlights the remarkable expressive power of quantum circuits. This observation is also significant in reducing training times. The ansatz with greater expressivity and number of non-zero Fourier coefficients consistently delivers favorable results across different scenarios, with performance metrics improving as the number of qubits increases.