bluuebunny/crossref_metadata_2025 huggingface dataset:
Proposal of a Course-Classification Support System Using Deep Learning and its Evaluation When Combined with Reinforcement Learning
Authors: Miyazaki Kazuteru , Yamaguchi Shu , Mori Rie , Yoshikawa Yumiko , Saito Takanori , Suzuki Toshiya
Published: March 2024

The National Institution for Academic Degrees and Quality Enhancement of Higher Education (NIAD-QE) awards academic degrees based on credit accumulation. These credits must be classified according to predetermined criteria for the selected disciplinary fields. This study was conducted by subcommittees within the Committee for Validation and Examination of Degrees, the members of which should be well-versed in the syllabus of each course to ensure appropriate classification. The number of applicants has been increasing annually, and thus, a course-classification system supported by information technology is strongly desired. We proposed a course-classification support system (CCS) and an active CCS system for awarding degrees in NIAD-QE. In contrast, in this study, we construct a CCS using deep learning, which has been significantly developed in recent years. We also propose a method “CLCNNwithXoL” combined with the reinforcement learning method. We evaluate its effectiveness using the data submitted.
Konsep Tasawuf Martin Lings dan Relevansinya dengan Inklusivitas Beragama
Authors: Nisok Siti Roisadul , Resa Achmad
Published: March 2024

This article aims to examine the concept of perennial Sufism developed by Martin Lings and its relevance to religious inclusiveness. Using qualitative approach with text analysis and through literature study, Martin Lings' works related to perennial sufism are analyzed in depth. The results showed that perennial sufism developed by Martin Lings teaches that the core of all spiritual traditions is the search for absolute truth and unity in a mystical experience that transcends religious differences. Perennial sufism emphasizes the unity of spirituality in religious diversity, respecting, and recognizing the essential values of each religious tradition. This research concludes that Martin Lings' perennial sufism has relevance to religious inclusiveness in promoting moderate patterns of religiosity. The concept offers a foundation for a more harmonious and respectful interfaith dialog, and provides a strong spiritual foundation for an inclusive and tolerant appreciation of religions.
The Impact of Preoperative Medical Evaluation in an Orthopaedic Perioperative Medical Clinic on Total Joint Arthroplasty Outcomes
Authors: Veerareddy Rakesh R. , Panton Zachary A. , Zagaria Alexandra B. , Lites Christopher J. , Keeney Benjamin J. , Werth Paul M.
Published: March 2024

Background:

A preoperative medical evaluation (PME) in total joint arthroplasty (TJA) is routine despite considerable variation and uncertainty regarding its benefits. The orthopaedic department in our academic health system established a perioperative medical clinic (PMC) to standardize perioperative management and to study the effect of this intervention on total hip arthroplasty (THA) and total knee arthroplasty (TKA) outcomes. This observational study compared the impact of a PME within 30 days prior to surgery at the PMC (Periop30) versus elsewhere (“Usual Care”) on postoperative length of stay (LOS), extended LOS (i.e., a stay of >3 days), and Patient-Reported Outcomes Measurement Information System-10 (PROMIS-10) Global Physical Health (GPH) score improvement in TJA.

Methods:

We stratified adult patients (≥18 years of age) who underwent primary TJA between January 2015 and December 2020 into Periop30 or Usual Care. We utilized univariate tests (a chi-square test for categorical variables and a t test for continuous variables) to assess for differences in patient characteristics. For both TKA and THA, LOS was assessed with use of multivariable negative binomial regression models; extended LOS, with use of binary logistic regression; and PROMIS-10 GPH score, with use of mixed-effects models with random intercept and slope. Interaction terms between the focal predictor (Periop30, yes or no) and year of surgery were included in all models.

Results:

Periop30 comprised 82.3% of TKAs (1,911 of 2,322 ) and 73.8% of THAs (1,876 of 2,541). For THA, the Periop30 group tended to be male (p = 0.005) and had a higher body mass index (p = 0.001) than the Usual Care group. The Periop30 group had a higher rate of staged bilateral THA (10.6% versus 7.5%; p = 0.028) and a lower rate of simultaneous bilateral TKA (5.1% versus 12.2%; p < 0.001) than the Usual Care group. Periop30 was associated with a lower mean LOS for both TKA (43.46 versus 54.15 hours; p < 0.001) and THA (41.07 versus 57.94 hours; p < 0.001). The rate of extended LOS was lower in the Periop30 group than in the Usual Care group for both TKA (15% versus 26.5%; p < 0.001) and THA (13.3% versus 27.4%; p < 0.001). There was no significant difference in GPH score improvement between Periop30 and Usual Care for either TKA or THA.

Conclusions:

Periop30 decreased mean LOS and the rate of extended LOS for TJA without an adverse effect on PROMIS-10 GPH scores.

Level of Evidence:

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Strategic Oversight and Quality Validation in Spice Production Enhancement
Authors: Miranda Wiji Amelia , Hudi Lukman , Anwar Saiful
Published: March 2024

This study examines the effectiveness of a comprehensive control management and quality control system in the seasoning production process, focusing specifically on a menu-specific seasoning variant (MSS). The methodology encompassed various stages including material acceptance, sieving, mixing, and final packaging, integrated with stringent control measures such as equipment and facility cleaning, material separation, and machine maintenance. Quality control tests conducted included sodium chloride content, pH analysis, seal strength, and bubble tests. Results indicate that these systematic processes significantly enhance product quality by ensuring compliance with predefined quality standards. The implications of this study suggest that rigorous process oversight and detailed quality assessments can markedly improve the reliability and safety of food seasoning products, providing a framework for industry-wide best practices.
Highlights:

Process Management: Systematic control measures, including equipment and facility cleaning, ensure a contamination-free production environment.
Quality Control: Rigorous testing, including sodium chloride content and pH analysis, guarantees that the products meet established quality and safety standards.
Product Compliance: Implementation of advanced control and quality assurance protocols ensures that products consistently comply with industry standards.

Keywords: Instant Seasoning, Quality Control, Safety Standards
Penerapan Permainan Team Building untuk Meningkatkan Kerjasama Kelompok B1 di TK Nasional KPS Balikpapan
Authors: Zuhri Muhammad Syaifuddin
Published: March 2024

Kerjasama menjadi faktor penting dalam aspek sosial pada pendidikan anak usia dini. Teori perkembangan sosial menjelaskan bahwa kemampuan Kerjasama merupakan indikator tertinggi dalam suatu permainan. Kondisi awal kemampuan kerjasama anak di TK Nasional KPS dapat terlihat ada 16,67% dari total keseluruhan 12 anak yang dapat menunjukkan kerjasama saat bermain di kelas. Artikel ini bertujuan memberikan alternatif dalam meningkatkan kemampuan kerjasama. Metode penelitian yang digunakan adalah Penelitian Tindakan Kelas versi Kemmis Mc Taggart dengan menggunakan media permainan Team Building. Hasilnya pada siklus I dapat meningkat menjadi 66,67% anak yang dapat bekerjasama, kemudian di siklus kedua seluruh anak (100%) dapat menunjukkan kemampuan dalam bekerjasama. Dengan kenaikan persentase pada aspek kemampuan bekerjasama anak diatas, maka dapat dikatakan bahwa kemampuan kerjasama anak kelompok B1 TK Nasional KPS Balikpapan meningkat melalui permainan Team Building.
Membangun Literasi Lingkungan dengan Menerapkan 3R (Reduce, Reuse, Recycle) di TK Nasional KPS Balikpapan
Authors: Hartanti Wuri , Wardhana Kautsar Eka
Published: March 2024

Pembiasaan sederhana mengklasifikasikan sampah sesuai jenisnya, membuang sampah pada tempatnya, mengambil sampah yang dilihat di sekitar akan membentuk karakter cinta lingkungan pada anak. Di TK Nasional KPS ikut berupaya mengurangi sampah dengan 3R (Reuse, Reduce, dan Recycle). Penerapan 3R dilakukan sebagai kegiatan pembiasaan untuk anak. Berdasarkan grafik pengamatan pada hari 1- 41, hari ke 2-40, hari ke 3-44 hari ke 4-42, hari ke 5-43. Konsistensi anak membawa botol dari rumah sudah tampak dan hal ini menjadi budaya sekolah. Berdasarkan pengamatan pada setiap kelas, anak-anak sudah mengerti cara membuang sampah yang benar. Anak sudah memiliki pemahaman untuk membuang sampah pada tempatnya sesuai dengan jenis sampah. Membangun 3R sejak dini di TK Nasional KPS dilakukan melalui kegiatan pembiasaan baik yang dilakukan oleh guru atau orang dewasa yang ada di sekitar anak, kemudian menjadi contoh bagi anak. Sebaiknya untuk menerapkan 3R di sekolah guru diperlukan dukungan dari warga sekolah dan orang tua murid.
Kemampuan Bercerita Anak Usia 5 Tahun (Aspek Semantik: Kajian Psikolinguistik)
Authors: Nisyah Khairun , Desmilianti Helvika , Susilo Susilo
Published: March 2024

Penelitian ini bertujuan untuk mengetahui kemampuan bercerita pada anak berusia 5 tahun pada aspek struktur kalimat yang diujarkan anak dilihat dari kajian psikolinguistik. Anak Indonesia pada umumnya mendapat pendidikan formal pada usia 6 tahun. Maka antara umur 0 sampai 5 tahun anak lebih banyak berinteraksi dengan keluarga dan lingkungan sekitar. Pada saat itu pula proses pemerolehan Bahasa terjadi. Pendekatan penelitian yang digunakan adalah pendekatan kualitatif. Sumber data yang digunakan pada penelitian ini adalah rekaman suara anak berusia 5 tahun bernama Zubair.  Teknik pengambilan data dilakukan dengan cara dialog atau wawancara untuk mengetahui kemampuan bercerita pada anak tersebut. Dalam hal ini, data yang diperolah adalah hasil rekaman yang ditranskrip untuk mendapatkan catatan tertulis dari subjek. Teknik analisis data yang digunakan yaitu melalui tiga alur tahapan yaitu reduksi data, analisis data, dan penarikan kesimpulan. Hasil penelitian menunjukan bahwa anak bernama Zubair memiliki kemampuan bercerita cukup baik. Terlihat dari pola kalimat yang utuh digunakan penutur. Dari aspek semantik, yang pertama Zubair mengalami tahap medan sematik. Dimana anak mampu mengelompokkan kata sesuai dengan medan semantik tersebut. Aspek kedua yang dialami Zubair yaitu tahap penyempitan makna, dimana tahap ini terjadi karena hasil dari pemikiran kritis seorang anak/manusia dalam bertutur. Hal ini dipengaruhi oleh lingkungan dan stimulasi yang diberikan orang tua untuk meningkatkan kemampuan berbahasa pada anak tersebut, dimana orang tua sering membacakan buku cerita kepada anak sejak anak masih bayi.
Meningkatkan Perkembangan Kognitif Anak Melalui Media Balok di TK Aisyah Bustanul Athfal 2 Anggana
Authors: Larasati Astrid , Oktavia Arinda , Yanti Dewi Eka , Rita Rita , Mardiana Mardiana , Adawiyah Rabiatul
Published: March 2024

Penelitian ini dilaksanakan dengan tujuan utama untuk meningkatkan kemampuan kognitif anak usia dini melalui penggunaan media balok, khususnya di kelas A TK aisiyah bustanul atfhal 2 anggana, desa handil terusan pada tahun ajaran 2023/2024. Metode penelitian yang digunakan adalah metode penelitian tindakan kelas, yang terdiri dari tahap perencanaan, pelaksanaan, observasi, dan refleksi. Subyek penelitian ini melibatkan 6 anak di kelas A TK Aisyah Bustanul Atfhal 2 Anggana. Pengumpulan data dilakukan melalui observasi terhadap kemampuan anak selama proses bermain balok. Hasil penelitian menunjukkan hasil yang signifikan dalam kemampuan kognitif anak padda kegiatan bermain balok pada setiap siklusnya. Anak-anak mampu dengan terampil menyusun balok, membedakan bentuk, mengklasifikasikan ukuran, dan memecahkan masalah dengan lebih baik. Berdasarkan temuan tersebut, disarankan bagi guru dan peneliti selanjutnya untuk lebih mengintegrasikan kegiatan bermain balok dalam pembelajaran anak usia dini, dengan memastikan bahwa permainan tersebut sesuai dengan tujuan yang diinginkan dan menggunakan media balok yang menarik. Dengan demikian, diharapkan dapat terus meningkatkan kemampuan kognitif anak-anak secara menyeluruh melalui penekatan yang menyenangkaan dan interaktif.
Meningkatkan Kemampuan Bahasa Ekspresif Anak melalui Metode Read-Aloud di PAUD Al-Hassanah Samarinda
Authors: Putri Nur Amelia , Imtiyaz Hanifah Nasywa , Ma’ruf Ahmad , Dwiarti Isti , Isnani Isnani
Published: March 2024

Penelitian ini dilakukan agar dapat meningkatkan kemampuan berbahasa ekspresif anak menggunakan metode read-aloud. Pada penelitian ini menerapkan metode penelitian tindakan kelas (PTK). Data primer diperoleh dari wawancara dan observasi. Sedangkan, data sekunder dari literatur seperti buku dan jurnal. Analisis data menggunakan deskriptif kuantitatif dan kualitatif. Subjek dalam penelitian ini ialah anak-anak dengan rentang usia 4-6 tahun di PAUD Al-Hassanah Samarinda. Hasil penelitian sebelum dilakukannya tindakan mengungkapkan kemampuan bahasa ekspresif anak mendapatkan rata-rata 69 %, kemudian pada siklus I meningkat dengan rata-rata 86 % dengan kategori sangat baik. Hal ini membuktikan bahwa metode read aloud mampu meningkatkan kemampuan bahasa ekspresif anak.
Pemanfaatan Media Pembelajaran Digital Pada Pembelajaran IPS Di Sekolah Dasar
Authors: Fitri Aisah Nur , Hadi Muhamad Sofian
Published: March 2024

Di dunia pendidikan perkembangan IPTEK sangatlah di butuhkan. Dengan adanya perkembangan IPTEK proses pembelajaran akan semakin mudah untuk dilakukan dimana pun dan kapanpun. Peran guru di dunia pendidikan terutama dalam menghadapi perkembangan IPTEK sangatlah penting. Agar dapat menciptakan suasana belajar mengajar yang menyenangkan guru dapat menggunakan media pembelajaran dalam proses belajar mengajar. Media pembelajaran yang dapat digunakan salah satu contohnya ialah media pembelajaran berbasis digital. Metode yang digunakan pada penelitian kali ini yaitu metode kajian pustaka. Data pada penelitian berupa data dari studi literatur. Sumber data yang digunakan diperoleh dari berbagai referensi yang berhubungan dengan penelitian seperti buku, jurnal penelitian, dan buku panduan penggunaan beberapa platform digital. Teknik analisis data yang digunakan adalah analisis isi (content analysis), yaitu dengan melakukan  pengkajian informasi yang dibahas, mengaitkan dengan setiap topik yang dibahas, kemudian pemetaan konsep dalam bentuk perbandingan dari setiap data penelitian. Hasil dari penelitian ini diharapkan memberi kontribusi dalam memudahkan sekolah, guru, dan siswa memanfaatkan beberapa platform digital yang dikeluarkan Kementerian Pendidikan dan Kebudayaan sebagai media pembelajaran.
Model Pembelajaran dan Gender Terhadap Hasil Belajar Peserta Didik Pada Mata Pelajaran Pendidikan Agama Islam
Authors: Rosyida Nadya Ilma , Isnaini Nurul Azizatul , Wulandari Reksahati , Kariadinata Rahayu , Malik Adam
Published: March 2024

Mata pelajaran Pendidikan Agama Islam terkesan membosankan bagi beberapa siswa, maka guru PAI menerapkan beberapa model pembelajaran di kelas. Penelitian ini bertujuan untuk (1) menganalisis pengaruh model pembelajaran yang digunakan terhadap hasil belajar peserta didik pada mata pelajaran Pendidikan Agama Islam, (2) menganalisis pengaruh gender terhadap hasil belajar peserta didik pada mata pelajaran Pendidikan Agama Islam, (3) menganalisis keterkaitan antara model pembelajaran dan gender terhadap hasil belajar peserta didik pada mata pelajaran Pendidikan Agam Islam.Penelitian ini menggunakan pendekatan kuantitatif. Metode yang digunakan adalah ex post facto. Populasi pada penelitian ini adalah seluruh siswa di salah satu SMP di Kabupaten Pemalang.  Sampel pada penelitian ini menggunakan teknik random sampling. Data bersumber dari dokumen berupa hasil belajar peserta didik dan dokumen sekolah. Statistic inferensial parametrik digunakan untuk mengambil kesimpulan terhadap suatu populasi dengan teknik uji hipotesis. Jenis perhitungannya adalah uji Anova Dua Jalur. Hasil penelitian menunjukkan bahwa tidak terdapat pengaruh antara model pembelajaran yang digunakan dan gender terhadap hasil belajar pada mata pelajaran Pendidikan Agama Islam siswa kelas IX pada salah satu SMP di Kabupaten Pemalang.
The Effect of Using Quizizz On Students’ Learning Motivation In MAN 2 Samarinda
Authors: Nur Rahman Muhammad Rezza , Riyadi Ahmad , Darwis Darwis , Musfirah Imroatul
Published: March 2024

A B S T R A C T
Surveys conducted by researchers stated that 63.1% of the 130 students of class XI Regular in MAN 2 Samarinda felt that learning Al-Qur'an Hadith was boring. This research was conducted to determine the magnitude of effect using Quizizz on students’ learning motivation in the subject Al-Qur’an Hadith in MAN 2 Samarinda. This research uses quantitative type with pre-experimental approach and one group pretest-posttest design. Sample was selected by simple purposive sampling techniques with some criteria and obtained 32 students at XI IPS 1 as a sample. To collected data, researchers used questionnaire on students’ learning motivation in the subject Al-Qur’an Hadith. Data analysis using non-parametric statistic with Wilcoxon, supported with SPSS version 20 Program. The result showed Asymptotic Significance level was 0,00 < 0,05, which means there was effect using Quizizz on students’ learning motivation. Descriptive analysis showed average increase 21% generated from the difference average pretest and posttest data.
Insecticidal activity of isoborneol derivatives against Musca domestica adults and Culex quinquefasciatus larvae
Authors: BHAT SUJATA V. , Gupta Manisha O. , Pavela Roman , Kamath Chitra R.
Published: March 2024

Musca domestica L., a common housefly, and Culex quinquefasciatus mosquito are quite well-known pests that can transfer a wide range of diseases to humans as well as animals. In this study, various isoborneol derivatives including esters, ethers and thioethers were synthesized fromisoborneol under mild conditions. These derivatives were evaluated for inhibition of house-fly M. domestica adults and Cx. quinquefasciatus larvae. Two of the synthesized isoborneol ester derivatives (2 and 3) showed good activity against both insect species. Additional two derivatives (6 and 9) were active against M.domestica L. and the derivatives (1–3, 8) were active against Cx. quinquefasciatus larvae.
Causal relationship between telomere length and renal cell carcinoma and prognostic modeling of ccRCC based on telomere- related lncRNAs
Authors: Chen Hao , Zeng Jianfeng , Li Li
Published: March 2024

Background
Telomeres have been demonstrated to be critical in the development of multiple tumors. However, the association of telomere-related lncRNAs with clear cell renal cell carcinoma (ccRCC) and their prognostic roles in ccRCC patients remain unknown.
Methods
Exposure data was obtained from GWAS database. Two-sample mendelian randomization (MR) was used to test for causal associations between telomere length and renal cell carcinoma. Expression matrix and clinicopathological data of ccRCC patients were extracted from The Cancer Genome Altas and UCSC Xena browser. The differentially expressed genes were identified and intersected with the telomere-related genes downloaded from the Telnet database. Telomere-related lncRNAs were screened by the univariate Cox regression analysis. Each patient's risk score was calculated to establish a nomogram based on eight telomere-related lncRNAs screened by the least absolute shrinkage and selection operator (LASSO) algorithm and multivariate Cox regression analysis. The correlation between telomere-related lncRNAs and immune cells was assessed by the CIBEERSORT algorithm. The immune and stromal infiltrations were quantified by the ESTIMATE algorithm. Gene set enrichment analysis (GSEA) was performed to explore the selected lncRNA functions.
Result
A causal relationship between telomere length and renal cell carcinoma was observed. We screened eight telomere-related lncRNAs and established a risk score model for predicting survival in ccRCC patients. A nomogram was developed to predict the survival outcomes of postoperative patients by integrating several clinical factors, and a well-predictive effect was observed. The correlation between selected lncRNAs and immune function was explored by the CIBEERSORT and ESTIMATE algorithms. Besides, GSEA showed that telomere-related lncRNAs could affect ccRCC prognosis through multiple pathways.
Predictive Factors and Nomogram for 30-Day Mortality in Heat Stroke Patients: A Retrospective Case-Control Study
Authors: Li Anxin , Zhang Xiaoshi , Zhang Yuchen , Jiang Xiaoyan , Tao Yang , Chen Yan , Duan Zixiao , Wang Yadi , Deng Wuquan
Published: March 2024

Objective
This study aimed to identify early risk factors that impacted the 30-day mortality of heat stroke patients and establish a predictive model to assist clinicians in identifying the risk of death.
Methods
A retrospective case-control study was conducted, analyzing the clinical data of 72 patients with heat stroke admitted to Chongqing Emergency Medical Center between May 2016 and October 2023. The patients were divided into two groups to implement a control study: one comprising individuals who had died within 30 days of symptom onset, and the other consisting of those who had survived. The study analyzed the risk factors affecting 30-day mortality, plotted receiver operating characteristic (ROC) curves to evaluate patient’s mortality, and developed a model to predict the risk of death in heat stroke patients. The calibration curve and decision curve were used to evaluate the accuracy and clinical prediction efficiency of the nomogram.
Results
Within a 30-day period, 21 patients (29.167%) died. The APACHE II score, the ratio of lactate to albumin (Lac/Alb ratio), the core temperature at 30 minutes after admission were the independent risk factors for 30-day death in heat stroke patients. The area under the ROC curve for predicting mortality based on the APACHE II score was 0.820 (95% CI 0.716–0.924, P < 0.001). The best cut-off value was 29, with a sensitivity of 57.1% and a specificity of 92.2%. Moreover, the area under the ROC curve for predicting mortality based on the Lac/Alb ratio was 0.902 (95% CI 0.830–0.975, P < 0.001). The optimal cut-off value was 0.160, with a sensitivity of 90.5% and a specificity of 88.2%. The area under the ROC curve based on the core temperature at 30 minutes after admission was 0.700 (95% CI 0.544–0.855, P = 0.008). The optimal cut-off value was determined to be 39.5℃, with a sensitivity of 61.9% and a specificity of 80.4%. Finally, the area under the ROC curve for predicting death due to heat stroke using the combination of these three factors was 0.917 (95% CI 0.851–0.983, P < 0.001), with a sensitivity of 76.2% and a specificity of 92.2%.
Conclusion
The nomogram developed using these three indicators can be used in combination to predict 30-day mortality in heat stroke patients.
Circular RNA circFTO promotes pressure overload-induced cardiac hypertrophy via encoding a novel protein FTO-36aa
Authors: Xu Qi-rong , Liu Jin-long , Liu Zhi-bo , Zhu Rong-rong , Huang Huang , Li Yun-yun , Liu Ji-chun , Wu Qi-cai , Zhou Xue-liang
Published: March 2024

Background:
Pathological cardiac hypertrophy poses a significant threat to human health by leading to ventricular remodeling. CircRNAs play a potential role in the dysregulation of cardiac hypertrophy and recent evidence highlights their translational ability in various diseases. However, it remains unclear if circRNAs have a protein-coding role in myocardial hypertrophy and ventricular remodeling. This study aims to investigate the role of translatable circRNA in the pathogenesis of myocardial hypertrophy.
Methods:
The Transverse Aortic Constriction (TAC) induced hypertrophy mouse model was constructed. The heart function was evaluated by C57BL/6 mice. The myocardial structure injury and fibrosis were analyzed by HE staining and Masson staining. CircRNAs Microarray assay was used to screen the dysregulated circRNAs. The recombinant adenovirus-associated virus was constructed to over-expression or knockdown FTO or circFTO. Mass spectrometry analysis, Dual-luciferase reporter assay, and Polysome profiling analysis were performed to detect the circFTO encoded protein circFTO-36aa.
Results:
The study screened for dysregulated circRNAs in sham and transverse aortic constriction (TAC) and found that an up-regulated circular RNA, circFTO is generated from the back-splicing of FTO exon 5 and exon 7. Silencing circFTO by AAV significantly weakened the TAC-induced hypertrophy phenotype. Moreover, the study identified a novel protein, FTO-36aa, coded by circFTO that caused the pro-hypertrophy effect of circFTO. FTO-36aa promoted the ubiquitination-mediated protein degradation of FTO, which suppressed the demethylation of RNA, elevating the global m6A methylation. It was verified that the m6A reader, IGF2BP2, recognized the circFTO/FTO-36aa elevated m6A methylation and increased mRNA stabilities of m6A methylated hypertrophic genes.
Conclusion:
Overall, this study sheds light on the functional importance of alternative splicing-generated circFTO and its coded FTO-36aa during myocardial hypertrophy. The findings provide fundamental insights into the mechanisms of m6A methylation regulation in hypertrophic cardiomyocytes.
Comparing Ground-Based Lightning Detection Networks Near Wildfire Points-of-Origin
Authors: Hatchett Benjamin , Nauslar Nick , Brown Timothy
Published: March 2024

Lightning detection and attribution to wildfire ignitions is a critical component of fire management worldwide to both reduce hazards of wildfire to exposed values-at-risk and to enhance the potential for wildland fire to provide resource benefits in fire-adapted ecosystems.We compared two operational ground-based lightning detection networks used by fire managers to identify cloud-to-ground strokes within operationally-relevant distances (1.6 km) of the origins of 4,408 western United States lightning-ignited wildfires spanning May-September 2020. Applying two sets of constraints--varying holdover time and applying a quality control measure--we found strokes were co-detected near 55--65% of fires, increasing to 65--79% for detection by at least one network, with neither network detecting lightning near 1,024--1,666 fires.Because each network detected strokes near 136--376 unique fires, use of both networks is suggested to increase the probability of identifying potential fire starts. Given the number of fires with network-unique detections and no detections be either network, improvements in lightning detection networks are recommended given increasing fire hazard.
Water Absorption Reduction of Biodegradable Plastic Made From Sugar Cane Molasses by the Synergistic Effect of Sisal Fiber Reinforcement and Succinic Acid Crosslinking
Authors: Gerbie Birhan , Alemayehu Atalay , Belay Mezigebu , Ewunetu Meseret
Published: March 2024

In our daily lives, plastic has always played a significant role. Sugarcane molasses is a by-product of sugar production, and a potential raw material to develop biodegradable plastic which neither causes deforestation nor affects food supply. To address this issue, molasses-based plastic was cross-linked with a succinic acid cross-linker chemical, and locally available sisal fiber was used as reinforcement to improve the plastic's properties and reduce water absorption. The sisal fiber was manually extracted with a sharp knife and alkaline treated with an 8% NaOH solution before being utilized as a reinforcement. Additionally, acid hydrolysis methods were used to pre-treat crude raw cane molasses. After treating the molasses, the lactic acid was recovered and purified by adding cultured yogurt lactic acid to the treated molasses, and then the lactic acid was converted to PLA utilizing direct solution polymerization and condensation techniques in this experiential work. Using the solvent casting process, four (4) bioplastic film samples were made after each extraction and treatment of raw materials. Using a digital microbalance to establish the initial weight of a dry sample and immersing the film sections in distilled water, the swelling experiment was carried out to identify the best
Vulnerability to Climate Change: Evidence from a Dynamic Factor Model
Authors: Marotta Fulvia , Mumtaz Haroon
Published: March 2024

Using a dynamic factor model with stochastic volatility, we examine the synchronization of temperature and precipitation changes across 166 countries and regions. Firstly, the model allows us to quantify the extent of the increase in global tempera- tures. Secondly, it offers a unique measure of how each country’s temperatures align with this common global movement, translating into a robust indicator of regional exposure to global warming. Our findings reveal that a common factor explains a significant portion of temperature variance globally, with the largest contribution observed in sub-Saharan Africa, Latin America, and Asia. Additionally, the com- mon factor accounts for the increase in temperature levels across these regions. In contrast, precipitation fluctuations exhibit more localized patterns. We find that countries with higher GDP per-capita have lower exposure to global temperature changes.
PAGE2B is a prognostic marker for colorectal adenocarcinoma: bioinformatics analysis after correction for thyroid papillary carcinoma
Authors: Zhang Yanyan , Li Li , Zheng Huihui , Zheng Tiantian , Xu Liping , Li Changchun
Published: March 2024

Globally, Colon cancer has a high incidence and mortality rate, adenocarcinoma s is the most common pathological type. In this study, our objective was to explore a new biomarker for early diagnosis and prognosis in colorectal adenocarcinoma (COAD) patients. We downloaded mRNA data related to colorectal adenocarcinoma and thyroid papillary carcinoma through The Cancer Genome Atlas (TCGA) database, and used PTC as the mediator to explore the key genes causing the adverse prognosis of COAD. Univariate and multivariate Cox regression models were used, along with clinical information from COAD patients, to analyze the prognostic value of the target gene in COAD patients. Functional enrichment analysis was subsequently performed to elucidate the molecular mechanisms underlying the regulatory effects of the target gene on colorectal adenocarcinoma. We explore whether methylation is one of the causes of the high expression of target genes. Additionally, we calculated the percentage of infiltrating immune cells in COAD patients and evaluated their correlation with target gene expression. The potential sensitive drugs of target genes were explored by drug sensitivity analysis. Compared with those normal tissue, the gene expression levels of PAGE2B were found to be elevated in Compared with those colorectal adenocarcinoma tissues. Furthermore, the expression of PAGE2B in colorectal adenocarcinoma exhibited significant correlations with M stage. The results of functional enrichment analysis suggested the potential involvement of PAGE2B in the regulation of DAN methylation and cell cycle. Additionally, there were significant correlations between the expression level of the PAGE2B gene and the infiltration of various immune cells within the colon tumor microenvironment. PAGE2B can be used as a prognostic biomarker in patients with COAD could potentially be therapeutic target for COAD.
Development of virtual control terminal for high-horsepower tractor control system based on ISO-11783 protocol
Authors: Huang Ping , Bai Wenxu , Qiu Zhichuan , Zheng Fuyin , Zhang Xiaodan , Bai Shi
Published: March 2024

Precision control is a crucial aspect of fine agriculture. Enhancing the control performance of agricultural and forestry vehicles can reduce driver fatigue, improve productivity, and enhance operational accuracy. This study focuses on the ISO-11783 protocol of the serial communication network of a high-horsepower tractor control system. It combines the information frame of the controller area network (CAN) arbitration field and designs the CAN communication protocol network topology for the high-horsepower tractor control system. Based on the time-hierarchical controller area network protocol, the CAN communication protocol of the high-powered tractor control system is optimized to achieve dynamic scheduling of telegram messages. To evaluate the effectiveness of the virtual control terminal of the high-powered tractor control system designed in this paper, simulation tests and analyses are conducted. The results demonstrate that when the tractor speed drops below 15 km/h, the high-powered tractor engages the four-wheel-drive state, and when the tractor engine enters the idling state at 30.2 seconds, the tractor speed decreases considerably. Meanwhile, the CAN message update period obtained using the time-hierarchical controller area network is 86.5 ms, and the maximum transmission delay time of CAN message is 0.92 ms. The virtual terminal of the control system of the high-powered tractor designed with the ISO-11783 protocol can effectively carry out the state control of the high-powered tractor. It meets the requirements of real-time communication, ensuring the reliability of CAN communication and enabling the high-powered tractor to operate safely according to the driver's intention.
Predict the College Sports Scores using a Weighted BP-SVR Model
Authors: Zhu Quanying , Miao Jiani , Liu JinRong , Huang Lina
Published: March 2024

A key determinant of college students' physical health is their level of physical accomplishment. As a result, assessment and forecasting of physical accomplishment have grown in significance for both society and university lecturers. Research predicting collegiate athletes' success in sports is currently lacking, and the majority of forecasts were based on imprecise observations. Thus, our goal is to create a model that uses theoretical techniques to forecast the kids' academic success. The Central University of Finance and Economics (CUFE) student basketball performance data was utilized in this study to forecast performance using the back propagation (BP) neural network regression model and the support vector machine regression model (SVR). We thought about integrating the two machine learning prediction techniques to increase accuracy. We created a model using the gradient descent approach, with the real scores acting as dependent factors and the BP and SVR prediction results acting as independent variables, in order to determine the link between the predicted scores of the two models and the real scores. Our methodology, which we call the "BP-SVR weighted prediction model," may be used to predict performance for sports courses other than basketball and is more accurate than only using BP or SVR.
Assessing Landslide Susceptibility through Rock Cut Analysis: A Case Study of National Highway NH-919, India
Authors: Ahmad Bilal , Alam Mohd. Masroor , Sadique Md. Rehan , Faiz Mohammed
Published: March 2024

In the recent past, slope failures along highways have resulted in the destruction of infrastructure and loss of lives and properties throughout the world. Many issues of landslips, debris flow, and rockfalls in inhabited areas along road networks in hilly states of India, the USA, Australia, China, Canada, Brazil, etc., are testimony to this. In the present study, the slope stability of an overpass of National Highway NH-919 in the NCR region, India, has been analyzed. Field observations and petrographic analysis identified Quartzite with localized Schist presence. This study aims to identify the vulnerability of an existing road to landslide hazards and for conditional monitoring of roads for their stability in a present-day scenario of increasing vibrations of heavy vehicles and continuous seismicity in North-Western India, which are two important factors destabilizing the slopes along roads. During field assessment, a few major discontinuities were observed while collecting data at three probable failure locations. The hazard potential has been worked out by incorporating Landslide Susceptibility Score [LSS] and Landslide Hazard Evaluation Factor [LHEF], and the Slope Mass Rating [SMR] system has been used to identify the stability class. The DEM file, combined with the USGS DEM dataset, was used to generate thematic maps. Given the changing rainfall patterns and the heavy precipitation during the monsoon season, the chances of failure increase even more. The study also recommends applying simple mitigating measures to improve road stability and guarantee the long-term safety of residents and users.
Numerical Study on Heat Transfer in Carreau Fluids with Nanofluid Flow over a Curved Stretched Surface
Authors: Ullah Fahim , Ashraf Muhammad Bilal
Published: March 2024

This research aims to understand how fluids behave while flowing through curved stretched surfaces. The study covers nonlinear mixed convection, viscous dissipation, heat transfer via nonlinear thermal radiation, thermophoresis, Brownian diffusion, magnetic fields, and complicated nonlinear chemical reactions. Similarity variables are used to translate the governing nonlinear PDEs into nonlinear ODEs. Calculated adjustment simplifies equations' analytical treatment and improves tractability. The Shooting computational framework generates precise numerical solutions that are then persuasively presented. This academic study shows how flow parameter changes affect the geographical distribution of critical flow characteristics, such as velocity, temperature, and concentration profiles in Carreau fluid. The investigation also examines flow parameters, including the skin friction coefficient, Nusselt number, and Sherwood number throughout parameter regimes. Tabular results are tidy. This study adds to our understanding of the intricate interaction between flow characteristics and heat transfer mechanisms in a Carreau fluid across a curved and stretched surface.
Global Population: from Super-Malthus behavior to Doomsday Criticality
Authors: Drozd-Rzoska Aleksandra , Sojecka Agata
Published: March 2024

The report discusses global population changes from the Holocene beginning to 2023, via two Super Malthus (SM) scaling equations. SM-1 is the empowered exponential dependence:\(P\left(t\right)={P}_{0}exp{\left[\pm \left(t/\right)\right]}^{}\), and SM-2 is the Malthus-type relation with the time-dependent growth rate \(r\left(t\right)\) or relaxation time \(\left(t\right)=1/r\left(t\right)\):\(P\left(t\right)={P}_{0}exp\left(r\left(t\right)\times t\right)={P}_{0}exp\left[/\left(t\right)\right]\). Population data from a few sources were numerically filtered to obtain a 'smooth' dataset, allowing the distortions-sensitive and derivative-based analysis. The test recalling SM-1 equation revealed the essential transition near the year 1970 (population: ~3 billion): from the compressed exponential behavior (\(>1)\) to the stretched exponential one (\(<1\)). For SM-2 dependence, linear changes of \(\left(T\right)\) during the Industrial Revolutions period, since ~ 1700, led to the constrained critical behavior \(P\left(t\right)={P}_{0}exp\left[b{\prime }t/\left({T}_{C}-t\right)\right]\), where \({T}_{C}\approx 2216\) is the extrapolated year of the infinite population. The link to the 'hyperbolic' von Foerster Doomsday equation is shown. Results are discussed in the context of complex systems physics, the Weibull distribution in extreme value theory, and significant historic and prehistoric issues revealed by the distortions-sensitive analysis.
The Mediating Effect of Dark Future between Personality Traits and Fear of Artificial Intelligence in Arab Young Adults
Authors: Hemade Ali , Hallit Rabih , Malaeb Diana , Sakr Fouad , Dabbous Mariam , Merdad Nisma , Rashid Tabassum , Amin Rizwana , Jebreen Kamel , Zarrouq Btissame , Alhuwailah Amthal , Shuwiekh Hanaa Ahmed Mohamed , Fekih-Romdhane Feten , Hallit Souheil , Obeid Sahar
Published: March 2024

Background
Fear of Autonomous Robots and Artificial Intelligence is a novel concept introduced to measure how fearful individuals are about Artificial Intelligence and autonomous robots. This study aimed to measure the mediating effect of dark future, a measure of future anxiety, between personality traits and Fear of Autonomous Robots and Artificial Intelligence.
Methods
Using the snowball sampling technique, participants (n = 1839) were Arab adults who completed the Fear of Autonomous Robots and Artificial Intelligence Scale, Arabic Big Five Personality Inventory, and the Dark Future Scale.
Results
The results of the mediation analysis showed that dark future mediated the association between extroversion/neuroticism/agreeableness and fear of Artificial Intelligence. Higher extroversion was significantly associated with less dark future, whereas more dark future was significantly associated with higher Fear of Autonomous Robots and Artificial Intelligence (FARAI) scores. Extroversion was not directly associated with FARAI scores. Higher neuroticism and agreeableness were significantly associated with more dark future, whereas more dark future was significantly associated with higher FARAI scores. Neuroticism and agreeableness were significantly directly associated with higher FARAI scores.
Conclusion
This study suggests that the relationship between certain personality traits and Fear of Autonomous Robots and Artificial Intelligence can be explained by evaluating one’s Dark Future. This shall help improve research on attitudes towards Artificial Intelligence and also have clinical implications in treating cases of Artificial Intelligence fear.
Predicting the risk of sarcopenia in Nasopharyngeal Carcinoma patients: Development and assessment of a new predictive nomogram
Authors: Liu Ting , Wang Guimei , Chen Chunmei , He Lihe , Wang Rensheng
Published: March 2024

Purpose
Sarcopenia, as defined by the Global Leadership Initiative on Malnutrition (GLIM) consensus, serves as a diagnostic indicator for malnutrition and has been shown to influence cancer treatment and clinical results. However, the impact of sarcopenia on individuals diagnosed with nasopharyngeal carcinoma (NPC) remain insufficiently elucidated. The objective of this study was to investigate the prognostic significance of sarcopenia on the survival outcomes of NPC patients and to develop a nomogram.
Patients and methods:
545 patients with stage III-IVa NPC were included in this retrospective study and randomly divided into training and validation cohort (381 and 164 patients, respectively). Sarcopenia was defined using the skeletal muscle index (SMI) determined at the C3 level based on baseline MRI. The nomogram was developed utilizing a multivariable Cox model with baseline variables from the training cohort, and validated with the validation cohort. The nomogram's discriminative ability and accuracy were evaluated using the consistency index (C-index), receiver operating characteristic curve (ROC), and calibration plots, while the net benefit was assessed and compared with the TNM clinical stage through decision curve analysis (DCA).
Results
The results of the multivariate analysis revealed that higher T stage (HR = 2.15, 95% CI: 1.3–3.57, P < 0.01), higher N stage (HR = 2.15, 95% CI: 1.56–2.95, P < 0.01), sarcopenia group (HR = 2.46, 95% CI: 1.58–3.83, P < 0.01), and a history of comorbidities (HR = 1.76, 95% CI: 1.16–2.67, P = 0.01) were identified as independent risk factors that significantly impacted both overall survival (OS). The C-index (0.731 for the training cohort and 0.72 for the validation cohort indicated satisfactory discriminative ability of the nomogram. The calibration plots showed favorable consistency between the prediction of the nomogram and actual observations in both the training and validation cohorts. Moreover, nomograms also showed higher outcomes of DCA and the area under the curve (AUC) compared to TNM clinical stage.
Conclusion
Sarcopenia, T stage, N stage, and comorbidities were identified as independent prognostic factors for locally advanced NPC (laNPC). The integration of these factors into a nomogram predictive model demonstrated enhanced predictive accuracy.
Potassium Silicate improves drought tolerance in Cotton by modulating growth, gas exchange and antioxidant activities
Authors: Nazim Muhammad , Li Xiangyi , Anjum Shazia , Shahzad Khurram , Ahmad Fiaz , Ali Muqarrab , Zulfiar Usman , Muhammad Murad , Zeng Fanjiang
Published: March 2024

Cotton is a highly sensitive crop to drought stress. Consequently, it is crucial to devise strategies that optimize crop production in conditions of limited water availability. While potassium silicate has demonstrated effectiveness in mitigating drought stress in various crops, its specific impact on different cotton cultivars under drought conditions remains not fully clarified. This research aimed to assess the efficacy of six potassium silicate levels (ranging from 0, 100, 200, 300, 400 and 500 mg L-1) on four cotton cultivars (Zong main-113, Xin Nong-525, Xin lu Zhong-55, and Xin lu Zhong-66) under two field capacity levels (80% and 50% FC) in a sand culture. The application of foliar potassium silicate significantly improved photosynthetic efficiency, shoot biomass, root biomass, and leaf area under 50% FC. The most substantial reduction in H2O2, malondialdehyde levels, and electrolyte leakage was recorded with potassium silicate applied at a rate of 400 mg L-1. This concentration effectively mitigated reactive oxygen species accumulation, safeguarding plants against oxidative damage at 50% FC. Furthermore, potassium silicate contributed to maintaining water status, resulting in increased leaf water content and elevated water-soluble proteins in cotton plants. This research recommended that the foliar application of potassium silicate at a concentration of 400 mg L-1 significantly enhances cotton's resistance to drought, offering valuable insights for sustainable cotton cultivation in water-limited environments.
CryoEM structure of a novel class of spore virulence factors on the foodborne outbreak strain Bacillus paranthracis NVH 0075-95
Authors: Sleutel Mike , Zegeye Ephrem , LLarena Ann-Katrin , Pradhan Brajabandhu , Fislage Marcus , O´Sullivan Kristin , Gerven Nani Van , Aspholm Marina , Remaut Han
Published: March 2024

Bacterial endospores are remarkable examples of biological resilience, representing a dormant and heavily fortified differentiation form capable of withstanding physical and chemical stressors detrimental to vegetative cells. In pathogenic Bacillota, spores also form an infectious particle and can take up a central role in the environmental persistence and dissemination of disease. A poorly understood aspect of spore-mediated infection is the fibrous structures or ‘endospore appendages’ (ENAs) that have been seen to decorate the spores of pathogenic Bacilli and Clostridia. New methodological approaches are opening an unprecedented window on these long enigmatic structures. Using cryoID, Alphafold modelling and genetic approaches we identify a novel class of ultra-robust ENAs in the foodborne outbreak strain Bacillus paranthracis NVH 0075-95. We demonstrate that L-ENA are encoded by a rare three-gene cluster (ena3) that contains all components for the self-assembly of ladder-like protein nanofibers of stacked heptameric rings, their anchoring to the exosporium, and their termination in a trimeric ‘ruffle’ made of a complement C1Q-like BclA paralogue. The role of ENA fibers in spore-spore interaction and the distribution of L-ENA operon as mobile genetic elements in predominantly pathogenic B. cereus s.l. strains, suggest that L-ENA fibers promote strain virulence by spore clustering and aggregation.