bluuebunny/crossref_metadata_2025_split huggingface dataset:
Approaches to Integrating Entrepreneurial Education in School Curriculum
Authors: Mpuangnan Kofi Nkonkonya , Govender Samantha , Mhlongo Hlegiwe R. 
Published: October 2024

In recent years, a noticeable and worrisome pattern has emerged in numerous developing nations which is a steady and persistent rise in unemployment rates. To effectively tackle this pressing unemployment issue, it is imperative to adopt a holistic approach like incorporating entrepreneurial education across curriculum at all levels of the educational system. Therefore, the authors explored approaches to integrating entrepreneurial education into school curricula focusing on the following research questions. How can an entrepreneurial mindset among learners be promoted in school? And how far have pedagogical approaches improved entrepreneurship in schools? To address these questions, a systematic literature review underpinned by Human Capital Theory. The data were specifically sought from publishers with wide coverage of scholarly literature like Sage, Taylor and Francis, Emirate, and Springer, covering publications from 1965 to 2023. The search was supported by two broad terms such as promoting entrepreneurial mindset in learners and pedagogical strategies for enhancing entrepreneurship. It was found that an entrepreneurial mindset could be acquired through an innovative classroom environment, resilience, and guest speakers. Also, teachers could promote entrepreneurial education through the adoption of pedagogical approaches such as hands-on learning and experiential activities, role-playing, and business simulation games. It was recommended that the Ministry of Education should develop tailored training programs and workshops aimed at empowering educators with the essential competencies and insights to deliver impactful entrepreneurial education.
The Influence of Content Marketing, Content Quality, and Brand Image on the Purchase Intention of Skintific Products Through the Official TikTok
Authors: Rahmawati Putri Adi , Farida Lailatul 
Published: October 2024

This study aims to find out how the Influence of Content Marketing, Content Quality, and Brand Image on Puchase Intention in Skintific skincare products through TikTok video content. This research method uses quantitative methods. The population in this study is consumers of Skintific products. The sample criteria in this study are Gen Z and Millennials who use the TikTok application in Malang. The sampling technique used purposive sampling techniques and obtained 110 samples. The data analysis technique uses multiple linear regression analysis. The results of this study show that content marketing variables have a partial positive and significant effect on purchase intention. Content quality variables have a partially positive and significant influence on purchase intention. Brand image variables have a partially positive and significant effect on purchase intention. Then the simultaneous relationship between the variables of content marketing, content quality, and brand image has a positive and significant effect on purchase intention. This research can be used by companies in organizing sales promotions so that they are in great demand by broad consumers.
Iatrogenic Common Peroneal Nerve Injuries From Inside-out Lateral Meniscus Repair
Authors: Gupta Rajul , Lopreiato Nick , Little Kevin , Foad Mohab , Parikh Shital N. 
Published: October 2024

Cases:
We report 2 cases of common peroneal nerve (CPN) palsy after inside-out lateral meniscus (LM) repair with very different presentations, occurring despite the standard surgical precautions (open counter incision and proper retraction between the biceps femoris tendon, lateral gastrocnemius, and capsule). On exploration, needle was found to have penetrated the nerve in one case and the nerve sheath in the other case. Patient 1 had near-complete neurological recovery, while patient 2 had partial neurological recovery after suture removal and neurolysis.

Conclusion:
CPN palsy can occur despite following all precautions during LM repair and should be managed as an iatrogenic injury unless proven otherwise.
Total Hip Arthroplasty Broach Failure, Incarceration, and Retrieval
Authors: Soderlund T. , Ghulam-Jelani Z. , Kollmorgen R. 
Published: October 2024

Case:
The direct anterior total hip arthroplasty is known for a steep learning curve and femoral-sided intraoperative complications. This is a case report of a failure of femoral broach with a subsequent incarcerated femoral broach and novel extraction technique during a direct anterior total hip arthroplasty. This rare complication has only one other report in the literature.

Conclusion:
Femoral broach failure is a rare complication of direct anterior hip arthroplasty. Surgeons should be familiar with alternative extraction techniques to safely remove an incarcerated broach.
Developing an Instant Polymer Fluid Preparation Facility for Offshore Polymer Flooding Applications
Authors: Jian Zhang , Hong Du , Chenxi Wang , Xiujun Wang , Xianjie Li , Bo Huang 
Published: October 2024

AbstractPolymer flooding is gaining popularity in the offshore field to enhance oil recovery. Usually, the polymer fluid is prepared using maturation tanks. However, such tanks occupy large areas and are very heavy, which is not suitable for offshore applications as the platforms have limited space and load-bearing capacity. This paper presents a smaller, lighter, and instant polymer fluid preparation facility without maturation tanks oriented for offshore applications.The Instant Polymer Fluid Preparation (IPFP) facility consists of: (1) screw feeders, (2) a slicing unit, (3) a rotating packed bed (RPB), and (4) progressive cavity pumps (PCP). First, the polymer powder is transported by the screw feeder into a container mixed with water. Then, the polymer mixture enters the slicing unit for pre-mixing. Next, RPB is utilized to accelerate the maturation process by enhancing the inter-phase mass-transfer level between polymer and water. The polymer fluid is matured after such a process and can be pumped out through the PCP.First, the IPFP facility is tested in the laboratory. It can prepare polymer solutions with concentrations up to 8000 mg/L. The maximum flow rate is 600 cubic meters per day. And the viscosity retention ratio is above 90% compared to the solution prepared under laboratory conditions. Next, the IPFP facility is deployed in the Chinese offshore platform to conduct field tests. The facility functions well under field conditions and reduces the floor area and weight by 17 m2 and 53 tons, respectively, compared with the traditional maturation tank facility. Moreover, with the utilization of the RPB, the dissolving process is accelerated. The maturation time is reduced from forty to two minutes, which achieves real-time polymer solution preparation. Thus, the IPFP facility can be widely used in offshore platforms for polymer solution preparation.An IPFP facility is designed and built oriented for the offshore application. The IPFP facility replaces the traditional maturation tanks with the slicing unit and RPB, which reduces occupying area, weight, and preparation time. The proposed facility is a game-changer for the offshore polymer flooding application.
Long non-coding RNA Malat1 fine-tunes bone homeostasis and repair by orchestrating cellular crosstalk and the β-catenin-OPG/Jagged1 pathway
Authors: Zhao Baohong , Qin Yongli , Shirakawa Jumpei , Xu Cheng , Chen Ruge , Yang Xu , Ng Courtney , Nakano Shinichi , Elguindy Mahmoud , Deng Zhonghao , Prasanth Kannanganattu , Eissmann Moritz , Nakagawa Shinichi , Ricci William M. 
Published: October 2024

Abstract

The IncRNA Malat1 was initially believed to be dispensable for physiology due to the lack of observable phenotypes in Malat1 knockout (KO) mice. However, our study challenges this conclusion. We found that both Malat1 KO and conditional KO mice in the osteoblast lineage exhibit significant osteoporosis. Mechanistically, Malat1 acts as an intrinsic regulator in osteoblasts to promote osteogenesis. Interestingly, Malat1 does not directly affect osteoclastogenesis but inhibits osteoclastogenesis in a non-autonomous manner in vivo via integrating crosstalk between multiple cell types, including osteoblasts, osteoclasts and chondrocytes. Our findings substantiate the existence of a novel remodeling network in which Malat1 serves as a central regulator by binding to β-catenin and functioning through the β-catenin-OPG/Jagged1 pathway in osteoblasts and chondrocytes. In pathological conditions, Malat1 significantly promotes bone regeneration in fracture healing. Bone homeostasis and regeneration are crucial to well-being. Our discoveries establish a previous unrecognized paradigm model of Malat1 function in the skeletal system, providing novel mechanistic insights into how a lncRNA integrates cellular crosstalk and molecular networks to fine tune tissue homeostasis, remodeling and repair.
A Review of Multiple Diagnostic Approaches in the Undiagnosed Diseases Network to Identify Inherited Metabolic Diseases
Authors: Furuta Yutaka , Tinker Rory J , Hamid Rizwan , Cogan Joy D. , Ezell Kimberly M. , Oglesbee Devin , DeBerardinis Ralph J. , Phillips John A. 
Published: October 2024

Abstract

Background
The number of known inherited metabolic diseases (IMDs) has been expanding, and the rate of diagnosis is improving with the development of innovative approaches including next generation sequencing (NGS). However, a substantial proportion of IMDs remain undetected by traditional diagnostic approaches. We aim to highlight the spectrum of IMDs diagnosed by the Undiagnosed Diseases Network (UDN) and to learn from the UDN diagnostic processes that were able to detect IMDs.
Methods
We conducted a retrospective analysis of 757 UDN participants diagnosed from 2015 until 2023 using the cohort database, which were divided into a cohort with IMDs (n = 194; 27%) and a cohort whose phenotypes were not explained by an IMD (n = 563; 73%), based on the International Classification of Inherited Metabolic Disorders (ICIMD). Then, we divided the causes of the metabolic 194 diagnoses into seven groups that included all the ICIMD categories. We inspected which clinical and laboratory approaches contributed to a final UDN diagnosis. We also present a UDN case example from each group to highlight the diagnostic yields that resulted from combining newer diagnostic approaches in the UDN and illustrate potential pitfalls of current NGS methods.
Results
These 194 cases of IMDs included examples from 21/25 (84%) of the ICIMD categories. Of the UDN subjects 164/194 (85%) were diagnosed with IMDs through NGS.
Conclusion
The spectrum of IMDs detected in the UDN cohort is large and growing and appropriate use of newer multiple diagnostic approaches should further increase diagnosis of IMDs that are presently missed by the traditional laboratory screening methods.
AI-Based Prediction and Detection of Early- onset of Digital Dermatitis in Dairy Cows using Infrared Thermography
Authors: Feighelstein Marcelo , Mishael Amir , Malka Tamir , Magana Jennifer , Gavojdian Dinu , Zamansky Anna , Adams-Progar Amber 
Published: October 2024

Abstract

Digital dermatitis (DD) is a common foot disease that can cause lameness, decreased milk production and fertility decline in cows. DD prediction and early detection can positively impact animal welfare and profitability of the dairy industry. This study applies deep learning-based computer vision techniques for early onset detection and prediction of DD using infrared thermography (IRT) data. We investigated the role of various inputs for these tasks, including thermal images of cow feet, statistical color features extracted from IRT images, and manually registered temperature values. Our models achieved performances of above 81% accuracy on DD detection on ‘day 0’ (first appearance of clinical signs), and above 70% accuracy prediction of DD two days prior to the first appearance of clinical signs. Moreover, current findings indicate that the use of IRT images in conjunction with AI based predictors show real potential for developing future real-time automated tools to monitoring DD in dairy cows.
Cluster Sliding Ferroelectricity in Trilayer Quasi-Hexagonal C60
Authors: Gao Weiwei , Wang Xuefei , Ren Yanhan , Qiu Shi , Zhang Fan , Li Xueao , Gao Junfeng , Jijun Zhao 
Published: October 2024

Abstract

Electric polarization typically originates from non-centrosymmetric charge distributions. Since chemical bonds between atoms of the same elements favor centrosymmetric crystal structures and symmetrically distributed electron charges, elemental ferroelectrics are extremely rare. In comparison to atoms, elemental clusters are less symmetric and typically have various preferred orientations in crystals. Consequently, the assembly of clusters with different orientations tends to break the inversion symmetry. Based on this concept, we show that sliding ferroelectricity naturally emerges in trilayer quasi-hexagonal phase (qHP) C60, a cluster-assembled carbon allotrope recently synthesized. Trilayer qHP C60’s have several ferroelectric structures, which are distinguishable in second-harmonic generation (SHG) responses. Compared to previously found elemental ferroelectrics, trilayer qHP C60’s have sizable band gaps and some of them have both switchable out-of-plane and in-plane polarizations. The out-of-plane and in-plane polarizations of these trilayer systems can be switched independently and enable an easy-to-implement construction of Van der Waals homostructures with ferroelectrically switchable chirality.
Immunohistochemical labeling of ongoing axonal degeneration 10 days following cervical contusion spinal cord injury in the rat
Authors: Fusco Anna , Rana Sabhya , Jorgenson Marda , Bindi Victoria , Sunshine Michael , Shaw Gerry , Fuller David 
Published: October 2024

Abstract

Study Design:
Experimental Animal Study
Objective
To continue validating an antibody which targets an epitope of neurofilament light chain (NF-L) only available during neurodegeneration and to utilize the antibody to describe the pattern of axonal degeneration 10 days post-unilateral C4 contusion in the rat.
Setting:
University of Florida
Methods
Sprague Dawley rats received either a unilateral 150kdyn C4 contusion (n = 6; n = 3 females, n = 3 males) or a laminectomy control surgery (n = 5; n = 3 males, n = 2 females). Ten days following SCI or laminectomy, spinal cords and brainstems were processed for immunohistochemistry. Serial spinal cord and brainstem cross-sections were stained with the degeneration-specific NF-L antibody (MCA-6H63) and dual labeled with either an antibody against the C-terminus portion of neurofilament light chain (NF-L-Ct), to label healthy axons, or an antibody against amyloid precursor protein (APP), considered the current “gold standard” for identifying degenerating axons. The pattern of ongoing axonal degeneration was assessed.
Results
Spinal cord and brainstem cross-sections from injured rats had punctate MCA-6H63 positive fibers with pathological appearance, loss of anti-NF-L-Ct co-labeling, and frequent colocalization with APP. Immunopositive fibers were abundant rostral and caudal to the lesion in white matter tracts that would be disrupted by the unilateral C4 contusion. This pattern of staining was not observed in control tissue.
Conclusions
The MCA-6H63 antibody labels degenerating axons following SCI and offers a promising tool to quantify axonal degeneration.
A multicenter, phase II trial of triplet antiemetic therapy with palonosetron, aprepitant, and olanzapine for highly emetogenic chemotherapy in breast cancer (PATROL-II)
Authors: Suzuki Kenichi , Yokokawa Takashi , Kawaguchi Takashi , Takada Shinya , Tamaki Shinya , Kawasaki Yohei , Yamaguchi Takumi , Koizumi Kei , Matsumoto Takuma , Sakata Yukio , Arakawa Yuichiro , Ayuhara Hideaki , Hosonaga Mari , Yamaguchi Masakazu , Tsuji Daiki 
Published: October 2024

Abstract

Purpose
Dexamethasone is an antiemetic drug widely used to prevent nausea and vomiting caused by anticancer drugs. However, dexamethasone can cause several side effects even after short-term administration. Therefore, the development of dexamethasone-free antiemetic therapies has been recognized as an important challenge. The objective of this study was to investigate the efficacy and safety of palonosetron, aprepitant, and olanzapine.
Methods
Patients who were chemotherapy-naïve and scheduled to receive highly emetogenic chemotherapy for breast cancer were enrolled and assessed for nausea and vomiting occurring within 120 h after the start of chemotherapy. The primary endpoint was the total control (TC) rate of overall phases. Secondary endpoints included the complete response (CR) rate, which was evaluated during the acute, delayed, and overall phases.
Results
A total of 88 patients were enrolled from eight centers in Japan, of whom 84 were included in the analysis. The proportion of patients achieving TC throughout the overall period was 17.1%. Similarly, CR and CC rates for the overall period were 43.4% and 39.5%, respectively. Frequently reported adverse events were loss of appetite and constipation, with rates of 52.4% and 50.0%, respectively.
Conclusion
The primary endpoint was not achieved. Therefore, antiemetic therapy without dexamethasone shows an inadequate effect on nausea, and it is generally advisable to avoid omitting dexamethasone. However, in the overall period, both CR and CC were comparable to conventional three-drug combination therapy. Thus, in patients unable to use dexamethasone, replacing it with olanzapine could be an option.
Trial registration number: UMIN 000038644, November 20, 2019
The date of first trial registration: 13/03/2020
Latent profile analysis and influencing factors of postoperative sleep quality among elective surgery patients
Authors: Yang Binxu , Li Jingjing , Feng Dan , Gong Jing , Yang Yifei , Cai Xusihong , Huang Shuwen , SUEN Lorna Kwai Ping , Gao Puzhong , Wa Qingde , Zhou Jing 
Published: October 2024

Abstract

It is crucial to determine the potential subgroups of sleep disorders in patients undergoing elective surgery based on the importance of symptom clusters and individual characteristics in order to develop targeted symptom management plans. This study explored the potential categories of postoperative sleep disorders in patients undergoing elective surgery through latent profile analysis, and explored the influencing factors of each category. A total of 400 eligible elective surgery patients were included in the analysis, and three potential subgroups were identified: mild sleep disorder group (c1=140,35%), moderate sleep disorder group (c2=177,44.3%), and severe sleep disorder group (c3=83,20.8%). It was found that the higher the BMI, the greater the probability of patients belonging to the moderate sleep disorder group (OR=1.114, P=0.002) and the severe sleep disorder group (OR=1.258, P<0.001),the longer the duration of anesthesia the greater the likelihood of patients belonging to the severe sleep disorder group (OR=1.004,P=0.011), the greater the pain the greater the probability of patients belonging to the moderate sleep disorder group (OR= 1.590,P<0.001) and severe sleep disorder group (OR=1.785,P<0.001), and the higher the anxiety level the greater the probability that patients were in the moderate sleep disorder group (OR=1.135,P=0.007) and severe sleep disorder group (OR=1.261,P<0.001).
MRI-Enhanced Metastatic Ovarian Tumor Detection: Leveraging Enhanced 3D CNN and Data Augmentation for Exceptional Accuracy
Authors: P Rajesh , M Thanjaivadivel , G Arulkumaran , J Jagannathan 
Published: October 2024

Abstract

Background/Aims: Metastatic Ovarian Tumor is a severe condition that can significantly impact the life span and quality of life of affected individuals. Common symptoms include hormonal imbalances, digestive system issues, pelvic pain, fertility problems, and depression. Accurate and early detection is essential for improving patient outcomes. This research aims to develop a more effective diagnostic tool using MRI and 3D Convolutional Neural Networks (CNN) to enhance early detection and diagnosis of metastatic ovarian tumors.
Materials and Methods: This study leverages the power of 3D Convolutional Neural Networks (CNN) to analyze MRI scans for the detection of metastatic ovarian tumors. The proposed model employs a 3D CNN architecture, known for its effectiveness in image classification tasks. Existing approaches using 2D CNNs often fail to capture the spatial and temporal features of MRI scans, leading to information loss. To improve model performance, data augmentation techniques such as random cropping, resizing, and spatial deformation were integrated. The model was tested with the Ovarian Bevacizumab Response (OBR) dataset to ensure robustness against variations in tumor size, position, and orientation.
Results: The proposed MRI-based model achieved an impressive accuracy of 98.76% in detecting metastatic ovarian tumors. This high level of accuracy demonstrates the model's potential as a valuable tool for early diagnosis and clinical applications.
Conclusion: The investigation confirms that the proposed 3D CNN model, leveraging MRI datasets, significantly improves the detection accuracy of metastatic ovarian tumors. This model holds promise for clinical applications, enabling timely interventions and potentially improving the life span and quality of life for patients with ovarian cancer.
Association between Knee Osteoarthritis and Cardiovascular Disease in Type 2 Diabetes Mellitus: Impact of Exercise
Authors: Park Dojoon , Ko Seung-Hyun , Choi Youn-Ho , Koh Hae-Seok , Han Kyungdo 
Published: October 2024

Abstract

Knee osteoarthritis (OA), type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD) are major chronic conditions that frequently co-occur, posing substantial health burdens. This study aimed to investigate the association between knee OA and CVD outcomes in patients with T2DM, as well as the impact of exercise behavior on these associations. Utilizing data from the National Health Insurance Service (NHIS) in South Korea, we examined a cohort of 1,091,898 individuals diagnosed with T2DM between 2009 and 2012. The incidence rates of CVD, myocardial infarction (MI), stroke, heart failure (HF), and cardiovascular mortality were significantly higher in the knee OA group compared to those without knee OA (CVD: 23.25 vs. 18.23 per 1000 person-years; MI: 4.38 vs. 3.86; stroke: 11.70 vs. 8.97; HF: 10.62 vs. 8.19; CV mortality: 2.26 vs. 1.91). After adjusting for confounding factors, knee OA was associated with an increased risk of CVD (HR 1.13, 95% CI 1.11–1.16), MI (HR 1.07, 95% CI 1.02–1.13), stroke (HR 1.14, 95% CI 1.10–1.18), and HF (HR 1.13, 95% CI 1.09–1.17). Regular and intermittent exercise significantly reduced the risk of CVD, MI, stroke, HF, and cardiovascular mortality in T2DM patients with knee OA (e.g., regular exercise: HR 0.63, 95% CI 0.52–0.76; intermittent exercise: HR 0.69, 95% CI 0.61–0.78 for CV mortality). The association between knee OA and increased CVD risk was more pronounced in non-insulin users (HR 1.13, 95% CI 1.10-1.16) and those with a shorter duration of diabetes (HR 1.10, 95% CI 1.07-1.13). These results underscore the importance of promoting physical activity to mitigate cardiovascular risks in T2DM patients with knee OA. Incorporating exercise into care strategies is crucial for improving cardiovascular health in this population.