bluuebunny/crossref_metadata_2025_split huggingface dataset:
KAJIAN SEMIOTIK JEAN BAUDRILLARD DALAM IKLAN TELEVISI NESTLE BEAR BRAND
Authors: Nararya Raden Roro Widya Dhana Kusuma , Laksana Rangga Cahyo Mukti 
Published: August 2024

Iklan sebagaimana yang disampaikan oleh Kotler harus dapat memuat pesan yang menarik perhatian, mempertahankan ketertarikan, membangkitkan keinginan, serta menggerakkan tindakan. Dalam hal ini, iklan televisi Nestle Bear Brand berusaha menyajikan pesan melalui tanda-tanda visual berupa naga putih yang masuk ke dalam kaleng susu beruang. Sebagai bagian dari masyarakat yang mengonsumsi tanda-tanda visual tersebut, penulis ingin mendapatkan kesimpulan akademis terkait absurditas kode dalam iklan televisi Nestle Bear Brand yang hingga kini masih menjadi perbincangan publik. Dengan mengkaji fenomena tersebut dalam perspektif semiotika Jean Baudrillard, penulis mendapati kesimpulan bahwasanya tidak ada kebenaran absolut dalam sebuah iklan, yang ada hanya simulasi. Absurditas kode yang diciptakan oleh iklan televisi Nestle Bear Brand adalah sebuah media dalam menyampaikan pesan. Sebagai produsen makanan dan minuman terbesar di dunia, Nestle Bear Brand ingin menciptakan realitas untuk produknya guna lebih menanamkan citra di benak audiens. Adapun makna dari tanda visual yang diciptakan adalah bagaimana produsen susu steril ini selalu menjaga kualitas produknya hingga khasiatnya tidak perlu diragukan lagi, terdepan dalam hal menjaga keseimbangan tubuh dari berbagai ancaman penyakit.
Analisis Analisis Prioritas Pemilihan Supplier Pembelian Bahan Baku Menggunakan Metode TOPSIS Pada UD. XYZ
Authors: Yuneta Tia Octo , Aprian Fadli Nur , Sinaga Samuel 
Published: August 2024

Abstrak
Pemilihan supplier dianggap sebagai suatu kegiatan strategis karena supplier memiliki peran krusial dalam menyediakan barang-barang vital atau kebutuhan jangka panjang. Keandalan supplier dapat tercermin melalui aspek-aspek seperti pengiriman yang efisien, kualitas produk, ketepatan waktu, dan kepuasan pelanggan. Penelitian ini dilakukan dengan tujuan untuk menetapkan prioritas supplier kayu glugu di UD. XYZ.Data dikumpulkan melalui studi literatur dan wawancara dengan pemilik UD. XYZ. Empat supplier dinilai berdasarkan kriteria kualitas kayu, harga, lama pengiriman, dan ketersediaan, yang ditentukan oleh pemilik. Metode Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) dipakai untuk melakukan analisis data. Hasil penelitian menunjukkan bahwa supplier dengan indeks tertinggi di UD. XYZ adalah Supplier Bengkulu, dengan nilai indeks sebesar 0,898. Diikuti oleh Supplier Tasikmalaya dengan indeks 0,518, Supplier Tasikmalaya dengan indeks 0,497, dan Supplier Banjar dengan indeks 0,079. Hasil ini memberikan panduan dalam menentukan pilihan supplier yang optimal sesuai dengan kriteria yang diberikan.

Kata kunci: Kriteria, Pemilihan Supplier, Supplier kayu, Nilai Bobot, TOPSIS
Improving Patient Recall Following Operative Orthopaedic Trauma
Authors: Furdock Ryan , Alejo Andrew , Hoffa Matthew , Vergon Anna , Romeo Nicholas M. , Vallier Heather A. 
Published: August 2024

Background:
Orthopaedic trauma patients may experience poor recall regarding their injury and treatment, impairing postoperative outcomes. We sought to evaluate the impact of a standardized postoperative educational protocol on patient recall, adherence to the treatment plan, and satisfaction.

Methods:
Two hundred and twenty adult, English-speaking patients with surgically treated lower-extremity fractures were prospectively included. One hundred and ten patients in the educational intervention cohort met with a non-physician study member after surgery but before hospital discharge. They were given a written questionnaire evaluating knowledge of key aspects of their injury and treatment plan. For incorrectly answered questions, the study team member told the patient the correct answer (e.g., “No, you broke your tibia.”). Immediately after, the patient was verbally asked the question again (e.g., “Which bone did you break?”), repeating the process until the answer was correct. The 110 patients in the control cohort did not receive this “teach-back” protocol. During their first postoperative appointment, all 220 patients completed a follow-up questionnaire assessing recall, adherence to the treatment plan, and satisfaction.

Results:
The control cohort correctly answered 64% of recall-oriented questions versus 89% in the intervention cohort (p < 0.001). Eighty-two percent of control patients versus 89% patients in the intervention cohort adhered to postoperative weight-bearing restrictions (p = 0.09). Eighty-four percent of controls adhered to their deep venous thrombosis prophylaxis regimen versus 99% of the intervention cohort (p < 0.001). On a 5-point Likert scale, controls were less satisfied with their overall orthopaedic care compared with patients in the intervention cohort (mean of 4.38 ± 0.84 versus 4.54 ± 0.63 points; p = 0.02), although this difference was less than the minimal clinically relevant difference of 10% that was defined at study onset. On propensity score-weighted multivariable analysis, receipt of the postoperative educational intervention was the only modifiable factor associated with improvement in patient recall (26% improvement [95% confidence interval, 20% to 31%]; p < 0.001).

Conclusions:
Some orthopaedic trauma patients’ nonadherence to surgeon recommendations and dissatisfaction with care may be mitigated by postoperative education. This standardized postoperative educational protocol improves orthopaedic trauma patients’ recall, adherence to their treatment plan, and satisfaction in a manner requiring minimal time.

Level of Evidence:
Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
Antibiotic Use and Resistance Awareness, Knowledge, and Attitude among Lebanese Population: A cross-sectional survey
Authors: Hanna Venise 
Published: August 2024

Abstract

Objective: This study aims to explore public knowledge, attitudes, and awareness of antibiotic use and resistance in Lebanon.
Methods: A cross sectional analysis was conducted among the entire provinces of Lebanon. Online surveys and face-to-face interviews were carried out by the researcher from October to December 2023.
Results: The sample size was 457, most of which were female 275 (60.2%). Almost all of the participants 435 (95.2%) used an antibiotic at least once in the past year, with self-medication 287 (62.8%) being the major source for antibiotic initiation, used mainly for the treatment of sore throat 208 (45.5%). 341 (74.6%) believed that antibiotics will always kill the same bacteria previously killed if used again. A multivariate logistics regression analysis revealed that age (p value= 0.011), gender (p value= 0.012), education level (p value= 0.000), and medical background (p value= 0.000) were significant.
Conclusion: The findings showed lack of awareness and knowledge regarding the correct use of antibiotics and their resistance among the Lebanese population. This study revealed that younger age, female gender, and higher education along with medical background knowledge had a significant effect on awareness.
Influence of computer parameters on Spaeth Richman Contrast Sensitivity test values using different computers
Authors: Ichhpujani Parul , Singh Drishti , Thakur Sahil , Kumar Suresh 
Published: August 2024

Abstract

BackgroundTo see the influence of various computer parameters on contrast sensitivity values obtained with the web based, Spaeth Richman Contrast Sensitivity (SPARCS) test.MethodThis prospective, observational study enrolled 80 consecutive healthy individuals free of ocular disease. Each patient underwent SPARCS CS testing on both the laptops, Apple Macbook and the Surface Pro. SPARCS scores were identified as the primary outcome variables and other ocular parameters were considered secondary outcome variables.ResultsData of 160 eyes of 80 subjects who fulfilled the inclusion criteria was evaluated. The average age was 26.75 ± 5.75 years (range 18–40 years) and there was a slight female preponderance (61%, n = 49). None of the eyes had history of any ocular pathology. The Bland-Altman (BA) plot highlights a mean difference of 0.694 in measurements between the Macbook Air and Surface Pro indicating a small bias between the two methods. However, the wider limits of agreement (-12.889 to 14.276 ) suggest that the differences between the two can be substantial for some measurements. This variability is supported by the correlation matrix, which shows that while there is a positive relationship between equivalent measurements on the two devices, but they are not close to 1.ConclusionGiven the importance of consistency in contrast sensitivity testing, especially for baseline and follow-up assessments, this data suggests that using different devices may introduce a level of variability that could confound results. Thus, it is essential to use the same device, especially in clinical scenarios, to get precise and reproducible results.
Assessing the influence of KatanaTM Cleaner on the clinical performance of bulk-fill restorations in endodontically treated teeth: study protocol for a randomized clinical study
Authors: Azevedo Jacqueline Vitória do Nascimento , Carvalho Ceci Nunes , Leite Hadda Lyzandra Austriaco , Lima Suellen Nogueira Linares , Mendes Wallace Vieira , Neto Sebastião Marinho Pinheiro , Cardenas Andrés Felipe Millian , Siqueira Fabiana Suellen Figueredo , de Almeida Rossana Aboud Matos , Filho Etevaldo Matos Maia 
Published: August 2024

Abstract

Background
Complete cleaning of the pulp chamber is mandatory prior to restoration. Ethanol is the commonly used cleaning agent; however, studies report its inefficiency in completely removing residues. Although Katana is recommended for prosthetic purposes, studies on its use as a pulp chamber cleaning agent have shown promising results; moreover, it has the potential to improve dentin bonding strength. This study aimed to conduct a prospective, controlled, equivalence trial to evaluate the effectiveness of the Katana™ Cleaner in cleaning the pulp chamber of endodontically treated teeth and to assess its impact on the clinical performance of bulk-fill resin restorations.
Methods
This will be a parallel, randomized, double-blind clinical trial conducted in accordance with the CONSORT guidelines. Based on the type of sealer (epoxy or bioceramic cement) and the cleaning agent used, the patients (n = 224) will be divided into four treatment groups, and the final restoration will be done using bulk-fill resin. The clinical performance of the restorations will be assessed by an experienced, calibrated dentist who is not involved in the restorative procedures. Clinical performance evaluations will be conducted immediately and after 6, 12, and 18 months, using two assessment criteria: World Dental Federation (FDI) and United States Public Health Service (USPHS). Kaplan–Meier survival and Cox regression analyses will be used to determine the occurrence of failure over time and the risk of failure in both treatment types, respectively. The significance level for all tests will be set at 5%.
Discussion
This study will be the first to examine the clinical effects of a new cleaning protocol for the removal of endodontic cement residue. Moreover, this study will explore whether the use of Katana improves the bonding strength of a self-conditioning adhesive to dentin in teeth restored with composite resin. If clinical studies yield promising results, individuals would benefit from interventions using the proposed protocol, thereby leading to an improved prognosis of endodontically treated tooth restorations, prompting further research.
Trial registration:
REBEC: RBR-86ycwq7 on February 29, 2024.
Prevalence of depression, anxiety and stress among healthcare professionals in Mogadishu- Somalia.
Authors: ASNHUR YONIS ABDULLAHI 
Published: August 2024

Abstract

Introduction.
Healthcare professionals have always faced significant mental health challenges due to the demanding nature of their work. These challenges include long hours, high-pressure environments, and the emotional toll of patient care. However, the COVID-19 pandemic has amplified these issues, leading to unprecedented levels of stress, anxiety, and depression among healthcare workers (HCWs).
Method.
In a cross-sectional study conducted among healthcare professionals in Mogadishu during April, May, and June of 2024, a sample size of 385 participants was recruited using a convenience sampling approach. The Depression, Anxiety, and Stress Scale 42 (DASS 42) questionnaire was employed to assess mental health, and the data were collected and administered via KoBoToolbox. data analysis was performed using SPSS software.
Result.
In the study, 69.5% of healthcare professionals scored within the normal range for depression, 7.5% experienced mild depression, 11.8% had moderate depression, 9.2% were classified as having severe depression, and 2.0% were found to have extremely severe depression. For anxiety, 57.0% of healthcare professionals scored in the normal range, 9.2% had mild anxiety, 11.1% showed moderate anxiety, 9.2% were classified as having severe anxiety, and 13.4% experienced extremely severe anxiety. Regarding stress, 70.5% of healthcare professionals scored within the normal range, 8.2% experienced mild stress, 13.1% had moderate stress, 7.2% were classified as having severe stress, and 1.0% were found to have extremely severe stress.
Discussion.
The study on healthcare professionals in Mogadishu, Somalia, found varying levels of psychological distress, with 69.5% showing normal levels for depression, 57.0% for anxiety, and 70.5% for stress. Compared to during the pandemic, normal levels have increased for depression (53.5%) and anxiety (30.7%) but decreased for stress (84.8%). During the pandemic, a significant percentage of healthcare professionals experienced mild depression (24.9%), anxiety (36.2%), and stress (6.9%), with moderate symptoms also prevalent (Ahmed et al., 2022). Post-pandemic, there was a decrease in mild symptoms but persistent moderate levels of depression (11.8%), anxiety (11.1%), and stress (13.1%). During the pandemic, severe anxiety was prevalent at 10.7%, severe depression at 1.8%, and severe stress at 1.1% (Ahmed et al., 2022). Post-pandemic, severe depression rose to 9.2%, severe anxiety remained at 9.2%, and severe stress increased to 7.2%. Additionally, 13.4% experienced extremely severe anxiety, 2.0% extremely severe depression, and 1.0% extremely severe stress.
Surface engineering boron nitride Nanosheets with lithium stearate: Tailoring the electronic, mechanical, and thermal characteristics
Authors: shams shamsiya , Bindhu Baby 
Published: August 2024

Abstract

Hexagonal boron nitride (h-BN) is a versatile two-dimensional material that has attracted significant attention for energy applications. Surface modification of Hexagonal Boron Nitride Nanosheets (BNNS) is a crucial aspect of enhancing their properties and expanding their applications. It also enhances the compatibility of h-BN with different matrices and facilitates its integration into various composite materials. The main objective of this research work is to modify the surface of BNNS using Lithium stearate (LiC18H35O2), denoted as LS. Three different combinations of BNNS and LS blends, designated as BNLS1 (BNNS: LS at 1:1), BNLS2 (BNN: LS at 1:2), and BNLS3 (BNNS: LS at 1:3), have been prepared. As a surface modifier, LiC18H35O2 imparts specific characteristics to surfaces or interfaces. The obtained samples underwent characterization techniques such as X-ray powder diffraction (XRD), UV-visible spectroscopy (UV-Vis), Fourier-transform infrared (FTIR) spectroscopy, Thermogravimetric analysis (TGA), Raman spectroscopy, and Photoluminescence (PL) analysis. The reduction of the optical bandgap in BNNS following functionalization is examined and discussed. The thermal stability of the surface-modified samples is explored, and the onset degradation temperature of BNLS3 is very high compared to that of pure BNNS. These enhanced properties make the composites an appropriate material for electrochemical storage applications.
Integrated bioinformatic analyses defined ALDH18A1 as key regulators in glutamine metabolism in lung adenocarcinoma
Authors: Ren Hao , Ge Deng-Feng , Yang Zi-Chen , Cheng Zhen-Ting , Zhao Shou-Xiang , Zhang Bin 
Published: August 2024

Abstract

Glutamine metabolism is pivotal in cancer biology, profoundly influencing tumor growth, proliferation, and resistance to therapies. Cancer cells often exhibit an elevated dependence on glutamine for essential functions such as energy production, biosynthesis of macromolecules, and maintenance of redox balance. Moreover, altered glutamine metabolism can contribute to the formation of an immune-suppressive tumor microenvironment characterized by reduced immune cell infiltration and activity. In this study on lung adenocarcinoma, we used consensus clustering and applied 101 machine learning methods to systematically identify key genes associated with glutamine metabolism. This comprehensive approach yielded a refined understanding of how these metabolic pathways contribute to cancer progression and patient outcomes. Importantly, a robust risk model was constructed using these identified genes to predict overall survival in lung adenocarcinoma patients. This model not only enhances our ability to stratify patient risk but also provides potential targets for therapeutic intervention aimed at disrupting glutamine metabolism and sensitizing tumors to existing treatments. Such insights underscore the critical role of glutamine metabolism in cancer and highlight avenues for personalized medicine in oncology research.
Surrogate-Based Optimization Framework for Enhancing SMT Process Quality and Productivity in Electronics Manufacturing Services
Authors: Lee Ching-Hung , Lin Kai-Xiang , Chou Che-Wei 
Published: August 2024

Abstract

The quality of the surface mount technology (SMT) process directly impacts product efficiency and reliability. Solder paste printing and reflow soldering processes are vital for assembling high-quality electronic components. Effectively optimizing these process parameters to ensure product consistency and reliability has become a critical issue in the electronics manufacturing services industry. Motivated by realistic needs to enhance the quality of the SMT process. This study proposes a surrogate-based optimization framework to improve the quality and productivity of the SMT production line. It encompasses five stages: domain knowledge, design of experiment, data collection and analysis, modeling, and optimization. Statistical correlation analysis and experimental design are used to reduce experiment counts. Then neural networks and optimization algorithms are utilized to identify the optimal process parameters in solder paste printing process. Moreover, this study proposes transfer learning methods for cross-product and line parameter optimization, which not only reduces production changeover time but also offers valuable insights for developing the solder paste printing process. A heat transfer model derived from a single experiment is used to identify parameters for reflow soldering. The target function is then optimized to find the optimal reflow recipe. Additionally, a solder joint defect detection system is established using deep learning and image processing techniques, capable of real-time detection and classification of solder joint defects. To evaluate the validity of the proposed framework, the surrogated-based optimization framework was deployed in a leading networking solutions company in Taiwan. Indeed, the developed solution has been implemented in this case company.
Exploring an N-Type Conducting Polymer (BBL) as a Potential Gas Sensing Material for NH3 and H2S Detection: A Theoretical Study
Authors: Sunny Sonu , Shah Shivam , Jena Sushri Soumya , Gopalini Bhavika , Hazra Arnab , Garg Mohit , Ghosh Sarbani 
Published: August 2024

Abstract

Conducting polymers (CPs) have garnered significant interest in being used as an active material in gas sensors mainly because of their structural flexibility, ease of synthesis, and enhanced performance at room temperature. The p-type CPs and their composites are mostly studied in gas sensing, which, unfortunately, exhibit limitations in terms of selectivity, stability, and sensitivity toward reducing gases. This study focuses on one of the widely studied n-type polymers, BBL(benzimidazobenzophenanthroline), as an active material for the detection of two reducing gases, namely, ammonia (NH3)and hydrogen sulfide (H2S), theoretically. Through molecular dynamics (MD) simulation and density functional theory (DFT)approach, we understand the adsorption behavior and selectivity of NH3 and H2S in the BBL film. Our results show that BBL displays remarkable adsorption for ammonia gas compared to hydrogen sulfide gas without compromising the π − π stacked crystallites within the polymer film. The DFT calculations show the adsorption energy of -0.32 eV and -0.21 eV for NH3 and H2S, respectively. MD simulations show that adsorption takes place in the free voids within the thin films, helping the polymer films to maintain their crystallinity, which indicates, upon detection of reducing gases, the generated free electrons will be able to be smoothly transported through the π − π stack network. The detailed theoretical insights obtained from this study indicate the suitability of the n-type conducting polymer, BBL, for the detection of reducing gases.
Solving Method of Traveling Salesman Problem Based on Performer Graph Self-attention Mechanism
Authors: Han Li , Duan Qianqian 
Published: August 2024

Abstract

The Traveling Salesman Problem (TSP) is a classic combinatorial optimization problem that seeks to find the shortest possible route for a salesman to visit each city exactly once and return to the starting point. This problem serves as a crucial benchmark for assessing the efficiency of optimization algorithms in real-world scenarios. As an NP-hard problem, solving larger instances of TSP within several minutes is challenging for traditional algorithms. This paper presents a deep learning approach combining Graph Self-Attention (GSA) with the Performer's linear complexity attention mechanism. The GSA module, built on Graph Convolutional Networks (GCNs), captures complex node relationships to enhance feature representations and encoding capabilities. The Performer's mechanism in the decoder improves efficiency in solving large-scale TSP instances. Additionally, we introduce a Partial Optimization with Or-opt (POO) method to optimize parts of the solution, avoiding local minima and enhancing accuracy. Experimental results indicate that our method performs comparably to current leading methods. Moreover, comparative experiments validate the significance of the GSA module in enhancing model performance and leveraging graph structural information.
Four new species of Mesobiotus (Eutardigrada: Macrobiotidae) from Skåne, Sweden with an updated phylogeny of the genus
Authors: Atherton Sarah , Hulterström Jens , Guidetti Roberto , Jönsson K. Ingemar 
Published: August 2024

Abstract

Four new species of Mesobiotus (Tardigrada: Eutardigrada: Macrobiotidae) are described from Skåne County in the southernmost region of Sweden. All four species are distinguished morphologically and through differences in DNA sequences as supported by PTP and mPTP analyses. With the addition of Mesobiotus bockebodicus sp. nov., M. passim sp. nov., M. pseudoemiliae sp. nov., and M. zelmaesp. nov., the number of nominal species of Macrobiotidae within Sweden is increased to 26, 73% of which have been documented from Skåne. Finally, new morphological details and DNA sequences are presented for Mesobiotus emiliae,and the phylogenetic relationships within the genus is reconstructed using previously published and new 18S and COI gene sequences.