bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation of Modified Carbon Nanotube Polyvinylidene Fluoride Composite Film and Its Application in Packaging Design
Authors: Yuan Feng , Li Sen
Published: September 2022

Sustainable design does not emphasize the safety of the ecosystem, but builds a systematic innovation process, taking into account customer needs, environmental benefits, social benefits, and corporate development. This article is based on the preparation of a modified carbon nanotube polyvinylidene fluoride composite film to analyze its application value in packaging design, aiming at analyzing the performance of the modified carbon nanotube and the polyvinylidene fluoride composite film during the preparation process, and applying its various characteristics to the process of packaging design optimization concept. The article is mainly divided into two parts: preparing modified carbon nanotubes and preparing polyvinylidene fluoride composite films. Among them, the photomechanical properties of carbon nanotubes, the relationship between the composition of the composite material and the dielectric properties, the dielectric response and relaxation behavior, the hydrophilicity of the composite membrane, and the membrane separation technology were discussed, and the carbon nanotubes were constructed. Incorporating carbon nanotubes into carbon fiber hybrid materials, and combining carbon nanotubes with polymer materials, works extremely well. The structure model is prepared, the molecular pore size, hydrophilicity, etc. are recorded, and surface modification, chemical modification, blending modification, and other methods are applied to analyze and evaluate the data. The experimental results show that in the application of modified carbon nanotubes and polyvinylidene fluoride composite films and packaging design, the interactive function of toughening modification increases 2.44 points; through enhancement modification, packaging design reduction increases by 2.5 points; and through the compatibilization modification, the functionality of the packaging design has increased by 1.88 points.
Entrepreneurship, Digital Capabilities, and Sustainable Business Model Innovation: A Case Study
Authors: Gao Suying , Ma Xiaohui , Zhao Xue
Published: September 2022

Sustainable business model innovation can effectively cope with the complex and changing external environment in the digital economy, which is the key for enterprises to gain sustainable competitive advantage, and entrepreneurship is closely related to sustainable business models. However, the process and mechanism of the role of entrepreneurship on sustainable business model innovation are not clear in existing studies. The purpose of this article is to illustrate how entrepreneurship leads to and influences sustainable business model innovation. Based on the perspective of digital capabilities, this article adopts an exploratory single-case study to explore the new connotation of entrepreneurship and its influence mechanism on sustainable business model innovation. The study found that innovation spirit, adventure spirit, and co-benefit entrepreneurship have emerged in the digital economy. Through the inherent role of digital sensing capabilities, digital seizing capabilities, and digital transformation capabilities, sustainable business model innovation is effectively designed and implemented to achieve multidimensional value creation and capture. This article adds to the latest literature on sustainable business model innovation for enterprises through case evidence.
Spatio-Frequency Decoupled Weak-Supervision for Face Reconstruction
Authors: Li Yanyan , Peng Weilong , Tang Keke , Fang Meie
Published: September 2022

3D face reconstruction has witnessed considerable progress in recovering 3D face shapes and textures from in-the-wild images. However, due to a lack of texture detail information, the reconstructed shape and texture based on deep learning could not be used to re-render a photorealistic facial image since it does not work in harmony with weak supervision only from the spatial domain. In the paper, we propose a method of spatio-frequency decoupled weak-supervision for face reconstruction, which applies the losses from not only the spatial domain but also the frequency domain to learn the reconstruction process that approaches photorealistic effect based on the output shape and texture. In detail, the spatial domain losses cover image-level and perceptual-level supervision. Moreover, the frequency domain information is separated from the input and rendered images, respectively, and is then used to build the frequency-based loss. In particular, we devise a spectrum-wise weighted Wing loss to implement balanced attention on different spectrums. Through the spatio-frequency decoupled weak-supervision, the reconstruction process can be learned in harmony and generate detailed texture and high-quality shape only with labels of landmarks. The experiments on several benchmarks show that our method can generate high-quality results and outperform state-of-the-art methods in qualitative and quantitative comparisons.
Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis
Authors: Cai Yuxiang , Wang Zhenya , Yao Ligang , Lin Tangxin , Zhang Jun
Published: September 2022

Fault diagnosis of rotating machinery is an attractive yet challenging task. This paper presents a novel intelligent fault diagnosis scheme for rotating machinery based on ensemble dilated convolutional neural networks. The novel fault diagnosis framework employs a model training strategy based on early stopping optimization to ensemble several one-dimensional dilated convolutional neural networks (1D-DCNNs). By varying the dilation rate of the 1D-DCNN, different receptive fields can be obtained to extract different vibration signal features. The early stopping strategy is used as a model update threshold to prevent overfitting and save computational resources. Ensemble learning uses a weighted mechanism to combine the outputs of multiple 1D-DCNN subclassifiers with different dilation rates to obtain the final fault diagnosis. The proposed method outperforms existing state-of-the-art classical machine learning and deep learning methods in simulation studies and diagnostic experiments, demonstrating that it can thoroughly mine fault features in vibration signals. The classification results further show that the EDCNN model can effectively and accurately identify multiple faults and outperform existing fault detection techniques.
The Mitochondrial Unfolded Protein Response: A Novel Protective Pathway Targeting Cardiomyocytes
Authors: Liu Jinfeng , He Xinyong , Zheng Sicheng , Zhu Aisong , Wang Junyan
Published: September 2022

Mitochondrial protein homeostasis in cardiomyocyte injury determines not only the normal operation of mitochondrial function but also the fate of mitochondria in cardiomyocytes. Studies of mitochondrial protein homeostasis have become an integral part of cardiovascular disease research. Modulation of the mitochondrial unfolded protein response (UPRmt), a protective factor for cardiomyocyte mitochondria, may in the future become an important treatment strategy for myocardial protection in cardiovascular disease. However, because of insufficient understanding of the UPRmt and inadequate elucidation of relevant mechanisms, few therapeutic drugs targeting the UPRmt have been developed. The UPRmt maintains a series of chaperone proteins and proteases and is activated when misfolded proteins accumulate in the mitochondria. Mitochondrial injury leads to metabolic dysfunction in cardiomyocytes. This paper reviews the relationship of the UPRmt and mitochondrial quality monitoring with cardiomyocyte protection. This review mainly introduces the regulatory mechanisms of the UPRmt elucidated in recent years and the relationship between the UPRmt and mitophagy, mitochondrial fusion/fission, mitochondrial biosynthesis, and mitochondrial energy metabolism homeostasis in order to generate new ideas for the study of the mitochondrial protein homeostasis mechanisms as well as to provide a reference for the targeted drug treatment of imbalances in mitochondrial protein homeostasis following cardiomyocyte injury.
Potential Role of Phytochemical Extract from Saffron in Development of Functional Foods and Protection of Brain-Related Disorders
Authors: Maqbool Zahra , Arshad Muhammad Sajid , Ali Anwar , Aziz Afifa , Khalid Waseem , Afzal Muhammad Faizan , Bangar Sneh Punia , Addi Mohamed , Hano Christophe , Lorenzo Jose Manuel
Published: September 2022

The present review is designed to measure the effects of saffron extract in functional foods and its pharmacological properties against various disorders. Saffron is a traditional medicinal plant used as a food additive. The stigma of saffron has bioactive compounds such as safranal, crocin, crocetin, picrocrocin, kaempferol, and flavonoid. These bioactive compounds can be extracted using conventional (maceration, solvent extraction, soxhlet extraction, and vapor or hydrodistillation) and novel techniques (emulsion liquid membrane extraction, ultrasound-assisted extraction, enzyme-associated extraction, pulsed electric field extraction, microwave-assisted extraction, and supercritical fluid extraction). Saffron is used as a functional ingredient, natural colorant, shelf-life enhancer, and fortifying agent in developing different food products. The demand for saffron has been increasing in the pharma industry due to its protection against cardiovascular and Alzheimer disease and its antioxidant, anti-inflammatory, antitumor, and antidepressant properties. Conclusively, the phytochemical compounds of saffron improve the nutrition value of products and protect humans against various disorders.
Research on the Mechanism of Liuwei Dihuang Decoction for Osteoporosis Based on Systematic Biological Strategies
Authors: Long Zhi-yong , Wu Jia-min , Xiang Wang , Yuan Meng-xia , Wu Yong-he , Li Jun , Yu Gan-peng , Yang Tiejun
Published: September 2022

Background. Osteoporosis is an important health problem worldwide. Liuwei Dihuang Decoction (LDD) and its main ingredients may have a good clinical effect on osteoporosis. Meanwhile, its mechanism for treating osteoporosis needs to be further revealed in order to provide a basis for future drug development. Methods. A systematic biological methodology was utilized to construct and analyze the LDD-osteoporosis network. After that, the human transcription data of LDD intervention in patients with osteoporosis and protein arrays data of LDD intervention in osteoporosis rats were collected. The human transcription data analysis, protein arrays data analysis, and molecular docking were performed to validate the findings of the prediction network (LDD-osteoporosis PPI network). Finally, animal experiments were conducted to verify the prediction results of systematic pharmacology. Results. (1) LDD-osteoporosis PPI network shows the potential compounds, potential targets (such as ALB, IGF1, SRC, and ESR1), clusters, biological processes (such as positive regulation of calmodulin 1-monooxygenase activity, estrogen metabolism, and endothelial cell proliferation), and signaling and Reactome pathways (such as JAK-STAT signaling pathway, osteoclast differentiation, and degradation of the extracellular matrix) of LDD intervention in osteoporosis. (2) Human transcriptomics data and protein arrays data validated the findings of the LDD-osteoporosis PPI network. (3) The animal experiments showed that LDD can improve bone mineral density (BMD), increase serum estradiol (E2) and alkaline phosphatase (ALP) levels, and upregulate Wnt3a and β-catenin mRNA expression (

P
<
0.05

). (4) Molecular docking results showed that alisol A, dioscin, loganin, oleanolic acid, pachymic acid, and ursolic acid may stably bind to JAK2, ESR1, and CTNNB1. Conclusion. LDD may have a therapeutic effect on osteoporosis through regulating the targets (such as ALB, IGF1, SRC, and ESR1), biological processes (such as positive regulation of calmodulin 1-monooxygenase activity, estrogen metabolism, and endothelial cell proliferation), and pathways (such as JAK-STAT signaling pathway, osteoclast differentiation, and degradation of the extracellular matrix) found in this research.
Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization
Authors: Abro Junaid Hussain , Li Chunlin , Shafiq Muhammad , Vishnukumar A. , Mewada Shivlal , Malpani Kamlesh , Osei-Owusu Jonathan
Published: September 2022

The bulk of the fault tolerance techniques that are in use today laid their primary emphasis, in the event that a virtual machine fails, on the production of clones to replace it, rather than on the early prediction of the failure itself in advance. Several of the currently used techniques give migration priority over recovery in the event that a virtual machine (VM) fails. This is due to resource constraints and concerns with server availability. Examples of algorithms with a single objective include fault tolerance, migration prediction, and simply expecting failure. Another example is fault tolerance. In this research, we are aiming to determine the most effective strategy to transition from a system that is not operating well to one that does. It is essential to be able to predict the failure of a virtual machine in a timely manner due of issues such as squandered resources, energy, and cost. Since the beginning of cloud computing, there has been an issue with the dependability of virtual computers, often known as VMs. As an integral component of a fault tolerance system, preemptive measures are an absolute need in order to guarantee the continuation of service. As a consequence of this, it is vital to work toward enhancing and emphasizing the proactive failure prediction of virtual machines. The key motivations for this are decreased periods of downtime and enhanced scalability. A technique was utilized to transfer the resources that were predicted to fail from one virtual machine (VM) to another VM in a safe manner. Using the compression strategy reduced the amount of time needed to complete the migration, and resource utilization increased. This article provides artificial intelligence that enables effective fault prediction techniques in cloud computing to improve resource optimization.
Expression of GMFB in High-Grade Cervical Intraepithelial Neoplasia and Its Role in Cervical Cancer
Authors: Tian Jun , Wang Jianqing , Chi Yinxiu , Han Zhongbao , Zhang Dongliang , Zhang Hu
Published: September 2022

Cervical intraepithelial neoplasia (CIN) is a collective term for specific precancerous lesions associated with cervical cancer (CC). Although it has been affirmed with slow development of several levels of cellular changes, the existing poor prognosis calls for an urgent need to diagnose CIN at early stage and be aware of markers related to its pathogenesis and prognosis. We explored the expression level of a newly marker GMFB and its regulatory effect on CIN and CC. Patient samples and cell models were included. Bioinformatic studies were taken to predict its binding to miR-143-3p, miR-26b-5p, miR-191-5p, and miR-223-3p. Luciferase reporter and RNA pull-down assays were used to validate the prediction. Edu assay and flow cytometry were used to measure the regulation of GMFB on proliferation and apoptosis of CC cells. qRT-PCR was used for mRNA expression level detection. The results showed that GMFB was targeted by miR-143-3p, miR-26b-5p, miR-191-5p, and miR-223-3p. It had elevated expression in both CIN and CC samples. GMFB had highly prognostic value for CIN, and lymph node metastasis of CC was much associated with high GMFB expression level. Besides, silencing of GMFB inhibited CC cell proliferation and elevated cell apoptosis. In conclusion, we determined that GMFB has regulatory effect on high grade CIN and CC, which could lighten a novel way in exploring their pathogenesis and improving accuracy of prognosis.
Application of DC-DC Converter in Sensor and MEMS Device Integration and Packaging
Authors: Wang Shifeng , Ding Xueyong , Tan Qingji
Published: September 2022

DC-DC (direct current controlled direct current) converter is the core control circuit in the field of power electronics technology. Based on the theory of sensors and MEMS (microelectromechanical systems), this paper constructs a DC-DC converter device integration and packaging model and proposes an enhanced current equalization technology with offset correction function suitable for two-phase DC-DC converters. Aiming at the generation mechanism of the output ripple of the two-phase DC-DC converter, the model adopts the ripple elimination technology based on the interleaved synchronous clock and the self-calibration interleaved time generator, so that each phase of the converter is accurately staggered within the full-load range, and the problem of output ripple amplitude is solved. During the simulation process, a high-performance two-phase DC-DC converter chip is designed and implemented, which includes an adaptive on-time control logic based on ripple feedback, a self-calibrating zero-current turn-off circuit, and a robust power switch transistor drive logic. The experimental results show that the full-load current of the chip reaches 6A, the peak efficiency is 91%, the phase-to-phase current error is <0.6%, and the output ripple is <9 mV. In the 90.265 V AC input, 0-10 W load range, the output voltage error is less than 0.96%, when the load is switched between no-load and full-load, and the system response speed is less than 200 ps, which effectively improves the overall performance of the DC-DC converter.
Immunophenotypic Analysis of T Lymphocytes and Cytokine Production in Elderly Practicing Physical Activities and Its Relationship with Quality of Life and Depression
Authors: de Carvalho-Costa Tamires Marielem , do Carmo Neto José Rodrigues , Teodoro Anna Glória Fonseca , Soares Flávia Zero , Rochael Luiza Pimenta , de Assunção Thaís Farnesi Soares , de Souza Beatriz Coutinho , Matos Beatriz Sodré , dos Santos Paula Degani Ferreira , Silva Djalma Alexandre Alves , Machado Juliana Reis , da Silva Paulo Roberto , Tiburcio-Costa Monique Gomes Salles , de Oliveira Carlo José Freire , Júnior Virmondes Rodrigues , Rodrigues Denise Bertulucci Rocha , da Silva Marcos Vinícius
Published: September 2022

Aging is a complex process often associated with a chronic inflammatory profile that alters several biological functions, including the immune system and cognitive and physical capacity. The practice of physical activity is increasingly gaining popularity as a method of preventing infections, depression, and other disorders that affect the quality of life of the elderly. Thus, this work analyzes the profile of cytokines and molecular markers expressed in immune cells of elderly people who practice physical activities or not, evaluating their impacts on the immune system and quality of life. For this, 48 individuals were recruited, and peripheral blood samples were collected for hemogram analysis, cytokine determination, and immunophenotyping. Elderly people were separated into two groups: practitioners with low-intensity physical activity and non-practitioners. Quality of life was assessed using the Whoqol-Old instrument, and depression was assessed using the Beck II Depression Inventory. When comparing the scores of the Whoqol-Old and Beck questionnaires, we observed a significant negative correlation between these two factors. The perception of a higher quality of life was present in the elderly who exercised and was related to greater autonomy and sensory abilities, whereas the presence of depression was lower. In the hemogram, we observed higher basophil and segmented counts in the sedentary elderly, whereas lymphocytes and monocytes had lower counts. Elderly practitioners of physical activities had higher levels of IFN-γ, IL-4, and IL-10; increased expression of CD69, PD1, and TIM-3 in CD4+ T lymphocytes and increased CD14+CD80+ and CD14+CD86+ monocytes. Elderly people with an increased perception of quality of life had higher levels of IFN-γ, higher expression of CD14+CD80+CD86+, and decreased levels of TRAIL. An increase in TRAIL was observed in individuals with depression, in addition to an increased expression of CD14+CD86+. These results show a clear correlation between the quality of life, level of depression, physical activity, and immune system function. Although some cytokines with a typical proinflammatory profile (IFN-γ) were observed, the results point to a protective state with benefits reflected in the general well-being of the elderly who exercise.
[Retracted] Quantifying the Soil Arthropod Diversity in Urban Forest in Dera Ghazi Khan
Authors: Mohsin Muhammad , Ahmad Haseeb , Nasir Muhammad Nabeel , Abideen Zain Ul , Nadeem Muhammad , Sattar Rukhsana , Saad Abdul Qadeer , Hussain Mujahid , Shah Syed Akbar , Cheng Hanlie , Sturdivant David , Hameed Syeda Amber
Published: September 2022

Arthropods can be either large or too small to be seen from the microscope. Their legs are jointed and perform a specific function in the soil. Several arthropods have been identified to date. Therefore, it is essential to identify them in a different type of soil. An experiment to quantify the soil arthropods in the urban forests of D.G. Khan was conducted at the Zoology lab of Ghazi University on four tree plants, i.e., neem (Azadirachta indica), mango (Mangifera indica), guava (Psidium guajava), and phalsa (Grewia asiatica). Soil samples were taken from different areas and on different months. The diversity of arthropods was analyzed through the Shannon index. The results were all significant. The total number of arthropods found in the experiment was 5151, with the following distributions: millipedes were 132 in neem, 133 in guava, 113 in mango, and 121 in phalsa; centipedes were 136 in neem, 142 in guava, 118 in mango, and 132 in phalsa; springtails were 138 in neem, 130 in guava, 120 in mango, and 134 in phalsa. There were a total of 12 different species of arthropods found. Neem (Azadirachta indica) have mites, centipede, and ants; guava (Psidium guajava) have centipedes and ants. Mango (Mangifera indica) have millipedes, centipedes, mites, springtail, and ants, and phalsa (Grewia asiatica) have mites, ants, and centipedes. The study reveals that millipedes, centipedes, springtails, and ants were found abundantly in the urban forest area of D.G. Khan, resulting in increased organic matter decomposition and appropriate distribution of nutrients through the soil having beneficial effects on the terrestrial ecosystem.
High APLN Expression Predicts Poor Prognosis for Glioma Patients
Authors: Lv Shuangyu , An Yang , Dong Huan , Xie Longxiang , Zheng Hong , Cheng Xiaoxia , Zhang Lei , Teng Tieshan , Wang Qiang , Yan Zhongyi , Guo Xiangqian
Published: September 2022

Apelin (APLN) is an endogenous ligand of the G protein-coupled receptor APJ (APLNR). APLN/APLNR system was involved in a variety of pathological and physiological functions, such as tumorigenesis and development. However, its prognostic roles in patients with central nervous system (CNS) cancers remain unknown. The present study was designed to explore the expression profile, prognostic significance, and interaction network of APLN/APLNR by integrating data from Oncomine, GEPIA, LOGpc, STRING, GeneMANIA, and immunohistochemical staining. The results demonstrated that APLN and APLNR mRNA expression were significantly increased in CNS cancers, including both low-grade glioma (LGG) and glioblastoma (GBM), when compared with normal CNS tissues. The high APLN, but not APLNR, expression was significantly correlated with overall survival (OS), recurrence free survival (RFS), and progression free survival (PFS) of LGG patients. However, neither APLN nor APLNR expression was significantly related to prognostic value in terms of OS, disease free interval (DFI), disease specific survival (DSS), or progression free interval (PFI) for GBM patients. Additionally, immunohistochemistry staining confirmed the increased APLN expression in tissues of LGG patients with grade II than grade I. These results showed that an elevated APLN level could predict poor OS, RFS, and PFS for LGG patients, and it could be a promising prognostic biomarker for LGG.
Exercise Intervention Improves Blood Glucose Levels and Adverse Pregnancy Outcomes in GDM Patients: A Meta-Analysis
Authors: Li Xiaoyan , Luo Rong , Qiao Binbin , Ou Haiwei
Published: September 2022

Objective. The objective of this study is to systematically evaluate the effect of exercise on gestational diabetes (GDM). Methods. The databases of PubMed, Cochrane Library, Web of Science, Embase, CNKI, VIP, and Wanfang were searched to collect publications regarding physical exercises and GDM. The two researchers screened the literature, extracted the data, and analyzed the risk of bias of the included data using RevMan 5.3 software. The primary outcomes analyzed included the fasting blood glucose, 2-h postprandial blood glucose, glycosylated hemoglobin, premature delivery, cesarean section, neonatal macrosomia, premature rupture of membranes, and neonatal hypoglycemia. Results. A total of 9 studies with 1289 GDM patients were included. Compared with the control group, exercise could significantly reduce the 2-h postprandial blood glucose (

MD
=
−
0.62

, 95% CI (-0.91 to -0.34),

Z
=
4.29

,

P
<
0.0001

), improve HbA1c(

RR
=
−
0.47

, 95% CI (-0.81 to -0.13),

Z
=
2.69

,

P
=
0.007

), reduce the cesarean section rate (

RR
=
0.83

, 95% CI (0.71-0.98),

Z
=
2.25

,

P
=
0.02

), and decrease the incidence of neonatal macrosomia in GDM patients (

RR
=
0.57

, 95% CI (0.34-0.95),

Z
=
2.17

,

P
=
0.03

). Conclusion. Exercise intervention can improve the blood glucose level of GDM patients, such as 2-h postprandial blood glucose and HbA1c. Meanwhile, exercise can also reduce adverse pregnancy outcomes, such as premature birth and macrosomia. Therefore, prescribing exercise to GDM patients can effectively manage GDM and improve adverse pregnancy outcomes.
ASAD: A Novel Audification Console for Assessment and Communication of Pain and Discomfort
Authors: Sheward Felipe , Romano Daniela M. , Marquardt Nicolai
Published: September 2022

Pain and discomfort are subjective perceptions that are difficult to quantify. Various methods and scales have been developed to find an optimal manner to describe them; however, these are difficult to use with some categories of patients. Audification of pain has been utilized as feedback in rehabilitation settings to enhance motor perception and motor control, but not in assessment and communication settings. We present a novel tool, the Audification-console for Self-Assessment of Discomfort (ASAD), for assessing and communicating pain and discomfort through sound. The console is a sequence of increasing pitch and frequencies triggered at the press of buttons and displayed as a matrix that can be associated with the subjective perception of pain and discomfort. The ASAD has been evaluated in its ability to capture and communicate discomfort, following a fatigue test in the lower limbs with thirty healthy volunteers, and compared to the most common self-reported methods used in the NHS. (The National Health Service (NHS) is the publicly funded healthcare system in England and one of the four National Health Service systems in the United Kingdom.) This was a qualitative, within subjects and across groups experiment study. The console provides a more accurate assessment than other scales and clearly recognizable patterns of sounds, indicating increased discomfort, significantly localized in specific frequency ranges, thus easily recognizable across subjects and in different instances of the same subject. The results suggest a possible use of the ASAD for a more precise and automatic assessment of pain and discomfort in health settings. Future studies might assess if this is easier to use for patients with communication or interpretation difficulties with the traditional tools.
Personalized Course Recommendation Method Based on Learner Interest Mining in Educational Big Data Environment
Authors: Zhang Ruiping
Published: September 2022

Aiming at the problems of low accuracy and large limitations of the current personalized course recommendation method in the educational big data environment, a personalized course recommendation method based on learner interest mining in the educational big data environment is proposed. First, a corresponding online course recommendation model framework is proposed by adopting GRU, which can effectively solve the problems of gradient disappearance and gradient explosion in the process of training the RNN neural network. Then, by introducing an auto-regressive language model, XLNet (Generalized Autoregressive Pretraining for Language Understanding), the information missing problem under the Mask mechanism in the BERT model is effectively optimized, and bidirectional prediction is achieved. Finally, by introducing a temporal attention mechanism into the model, enough attention is assigned to highlight local important information on key information, which improves the quality of hidden layer feature extraction, and a high-accuracy personalized course recommendation based on learner interest mining is realized. The proposed algorithm is compared with the other three collaborative filtering algorithms and the RNN algorithm through simulation experiments. The results show that the precision, recall, and F1-measure of the proposed algorithm in the personalized course recommendation results for different types of courses under the condition of the same database are all optimal. The largest values were 92.1%, 89.3%, and 90.7%, respectively. The overall performance is better than other comparison algorithms. This method can improve the accuracy and optimization limitations of personalized courses and can fully tap the interests of learners. It is of great significance for learners to choose personalized courses in the current educational big data environment.
Swiss Recommendations for Cutaneous Basal Cell Carcinoma
Authors: Ramelyte Egle , Nägeli Mirjam C. , Hunger Robert , Merat Rastine , Gaide Olivier , Navarini Alexander A. , Cozzio Antonio , Wagner Nikolaus B. , Maul Lara Valeska , Dummer Reinhard
Published: September 2022

Basal cell carcinoma (BCC) is the most common nonmelanoma skin cancer in Switzerland and worldwide. Most BCCs can be treated in a curative setting. However, patients can develop locally destructive and, rarely, metastatic tumors that require a different treatment approach. The clinical subtype of individual lesions provides prognostic information and influences management decisions. Surgical excision, topical therapies, and radiotherapy are highly effective in the majority of subtypes as well as in low- and high-risk diseases. For patients with low-risk diseases and superficial tumors not amenable to surgery, several nonsurgical alternatives are available. Systemic therapy is indicated for high-risk BCCs, which are not amenable to either surgery or radiotherapy. Hedgehog pathway inhibitors (HHI) are currently approved. Other therapeutic options such as immune checkpoint inhibitors show promising results in clinical trials. This first version of Swiss recommendations for diagnosis and management of BCC was prepared through extensive literature review and an advisory board consensus of expert dermatologists and oncologists in Switzerland. The present guidelines recommend therapies based on a multidisciplinary team approach and rate of recurrence for individual lesions. Based on the risk of recurrence, two distinct groups have been identified: low-risk (easy-to-treat) and high-risk (difficult-to-treat) tumors. Based on these classifications, evidence-based recommendations of available therapies are presented herein.
Education Management Information System (EMIS) and Its Implications to Educational Policy: A Mini-Review
Authors: Asio John Mark R. , Leva Erlinda F. , Lucero Leilani C. , Cabrera Wendell C.
Published: September 2022

This paper intends to show the importance of the Education Management Information System (EMIS) as well as the trends, challenges, and implications to educational policy. To achieve this, the proponents did a mini-review. The paper searched the internet for relevant and timely research papers and articles mainly focusing on the education management information system. After garnering enough materials for the mini-review, the tedious task of evaluating and analyzing the concepts and contexts of each material took place. Based on the evaluation, this paper found that some studies have shown promising results and positive experiences with the implementation education management information system (EMIS) in their institution. However, some did not execute well due to several reasons and factors. In addition, some research papers provided essential recommendations and suggestions that will help solve these different problems of EMIS. In the end, the paper concluded and shared some significant implications that school administrators can use for future references for policy and decision-making.
Writing Online: An Analysis on the Features of Students’ Blog Posts
Authors: Cantina Jovelyn M.
Published: September 2022

Writing online has influenced the way people communicate and write. The integration of this innovative electronic device into the language classroom provided students with writing opportunities. This study aims to analyze the features of the students’ blog posts. This study employed a general qualitative approach utilizing the blog posts of the BSED second-year students enrolled in a language class, which were drawn randomly as the corpus of the study. The content analysis technique was used to characterize a student's blog post. The study revealed that the features of the students’ blog posts were blogging attitude, content, connections with the audience, and innovativeness. Student bloggers communicated to the readers with excitement, motivation, interest, or emotions. Student bloggers generated ideas, opinions, concepts, and thoughts about the topic, provided useful and important information from various sources, and took a position on the topics and concepts that were discussed. Furthermore, students communicated in innovative ways by using figurative language, idioms, and powerful words. This study concluded that blogging is a trend in writing that allows creativity and an opportunity for students to improve their writing skills. Thus, the teacher may use blogging as one of the flexible assessments that can be utilized in the new normal of teaching by evaluating the authentic work of the students. Students may also be given an infographic called "Writing Online: Improving Writing Skills through Blogging" to help them figure out what makes a good blog post.
Organizational Effectiveness Related to Disaster Risk Reduction Management in Taytay, Rizal, Philippines: Perspective from the Academic Leaders
Authors: Lao Clarice , San Pedro Jay R , Caballes Dennis
Published: September 2022

Prior to the global health crisis, Taytay, Rizal, Philippines is vulnerable to the different natural disasters and calamities.  With this, the researchers see the value of investigating disaster risk reduction management being practiced by the local government unit through the lens of academic leaders.  With this, a descriptive research design was implored to gather and substantiate the organizational effectiveness with the research niche.  The 100 respondents were selected through purposive and snow-ball sampling who academic leaders from the various educational institutions within the municipality of Taytay, Rizal, Philippines.  Based on the findings, it shows that the local government unit of Taytay, Rizal has manifested an effective organizational approach in the implementation of the disaster risk reduction management as perceived by the academic leaders.  Afterward, the researchers draft an action plan to further strengthen the disaster risk reduction management plan of the local government unit.
Interactive Simulation on Modern Physics: A Systematic Review
Authors: Candido Keneth John O. , Gillesania King Christian C. , Mercado Justine C. , Reales Joy Mae B.
Published: September 2022

Physics is a theoretical science, understanding the concepts requires actual visual representations and models. Physics instructors should teach physics using inquiry, discovery, demonstration, simulation, practical work, lab-based activities, and other practical experiences. The current status of knowledge and practice regarding interactive simulation in the teaching of modern physics is presented in this systematic literature review. By methodically evaluating and summarizing the most pertinent previous research publications published from December 2002 to January 2022, it offers guidance for instructional designers and scholars. After careful consideration and screening, a total of eleven studies were chosen for a thorough analysis and synthesis. The results showed that the objective of the research studies on using interactive simulation in modern physics is to enhance students' critical thinking skills and creative problem-solving skills.   It has been demonstrated that interactive simulation technologies like Java applets and Physics Education Technology (PhET) are successful at teaching modern physics. The success or failure of employing interactive simulation is influenced by teachers, school staff, students, simulation design, and technology used. The findings imply that educational institutions should provide teachers and administrators with tutorials and training, and this review recommend that the interactive simulation should be available and that a gadget-friendly simulation must be developed.
Perception of English Language Studies Students on the use of Open Educational Resources (OER) for Remote Learning
Authors: Labicane Gianinna Elaine , Oliva Ricky Michael
Published: September 2022

The COVID-19 pandemic has not only created such a massive impact on health but has also drastically transformed the global educational landscape, and with the World Health Organization (WHO) predicting the pandemic to last beyond 2021, Higher Education Institutions across the country resort to various pedagogical methodologies to ensure the continuous delivery of instruction amidst the pandemic, including the use of Open Educational Resources (OER). OER have been widely used in the Marinduque State College since the implementation of remote learning modality in the institution. Given that this is the first semester that these materials have been widely-used in the college, this study sought to determine the perceptions of students on OER being used for their major courses, particularly for English Language Studies (ELS). This mixed method study considered the 2nd year BA-ELS students as participants, and the necessary data was gathered through a Google Forms survey questionnaire. This paper also aimed to determine perceptions of the participants on the learning materials being used for their English Phonology and Morphology course in terms of content, organization & presentation, and accessibility. Results reveal that participants have a general positive perception with OER in terms of content and organization & presentation. However, participants seem to struggle with its accessibility, as the materials are published on platforms that require internet access.
Improving the Selected Life Science Competencies of Grade 11 Learners with Special Needs through Parent - Assisted Learning Plan
Authors: Valencia Mark Janree L. , Sagnep Joy Marie T.
Published: September 2022

COVID-19 has transformed education delivery and doubled the challenges of learners with special needs (LSENs) due to inaccessible assistive technologies and limited face-to-face interaction with special education teachers. Consequently, their parents were forced to teach without formal training (World bank, 2020). Thus, this sequential mixed method study aimed to improve the learners' selected Life Science competencies in animal reproduction, genetic engineering, animal survival, and evolution through Parent-Assisted Learning Plan (PALP). The PALP is a 3-week home instruction cycle introduced to the participants where the teacher who created the self-learning modules met one-on-one with the home learning facilitators (HLFs) to discuss the various concepts covered in the modules emphasizing real-world applications and demonstrating strategies in teaching the concepts to the participants at home. Six Grade 11 LSENs from Ferdinand E. Marcos Senior High School participated in this study. The data came from validated 50-item teacher-created tests and focus group discussions. Frequency, percentage, means, and t-test was used to analyse quantitative data, while thematic analysis was applied for qualitative data. The t-test results show that PALP effectively improves learners' selected Life Science competencies. However, the participants also faced problems, including the difficulty of lessons, poor information retention, and a lack of formal sign language training among home learning facilitators. It is then recommended that schools may adopt and implement the PALP to help LSENs cope with the new learning delivery.
Integration of Demonstrative Teaching and Supporting Theories of Fluid Mechanics: A Literature Review
Authors: Arellano Iranne Jay , Barrientos Jorwin Ace , Castañeda Mhea Lendie , Lozada Jaren Paul , Mercado Justine
Published: September 2022

This review will give emphasis to the concept of demonstrative teaching to better improve the learning process of students in fluid mechanics. This paper is going to tackle the possible techniques students do to gain a better understanding of the concepts of fluid mechanics. With that, this review will also look at the impact of learning towards the students based on the number of demonstrations that they are making. This is where we will find out if there is a significant difference in the results with respect to the number of demonstrations performed. This paper will also discuss the most appropriate approach a beginner may take in handling a fluid mechanics class.
Sustaining Pre-Service Teachers’ Virtual Engagement in a Health Education Course through Interactive Buzz Sessions
Authors: Dizon Stephanie G. , Fernandez Paula Mae Q. , Dalangin Harold Raven S. , Mungcal Kervy S. , Tolentino Julius Ceazar , Valenzuela Luwy R.
Published: September 2022

Distance learning manifested an increasing growth in the field of higher education. Although it may not be exactly comparable to a residential face-to-face encounter, considering the engagement of the students in learning within a virtual context is still significant. Thus, this action research was conducted to sustain the level of virtual engagement among undergraduate teacher education students specializing in Physical Education when interactive buzz breaks are introduced in their online synchronous sessions. This study utilized a mixed-method collaborative action research approach. The participants included 48 second-year Bachelor of Physical Education (BPEd) students enrolled in the course, “Drug Education, Consumer Health, and Nutrition”, from a teacher education institution (TEI) in Central Luzon, Philippines during the second semester of the academic year 2021-2022. Multiple sources of data were collected and analyzed which included teacher’s observation notes, Student Engagement Survey Questionnaire, and reflective journals. Five (5) interactive buzz break activities were implemented using the “Wordwall” as an intervention within twelve synchronous sessions. The survey questionnaire was administered before (pre-assessment) and after (post-assessment) the intervention to describe the students’ level of virtual engagement. Results of the quantitative phase revealed that there is a high level of students’ behavioral, cognitive, and emotional virtual engagement before and after the strategy. The qualitative phase further promoted these results to reveal the remarkable experiences encountered by students during the intervention implementation that contributed to sustaining their virtual engagement. The derived results and findings posit that administering various interactive buzz break activities with the utilization of various educational platforms synchronously and asynchronously may sustain and further improve students’ virtual engagement.
Lesson Preparation Practices of Pre-service High School Science Teachers: Implications to Science Education
Authors: Yacap Marites J.
Published: September 2022

Teacher preparation is a vital factor in the development of effective future teachers. As such, this study tried to determine the pre-service teachers’ lesson preparation practices in one of the Teacher Education Institutions in the Philippines and provided descriptions of their practice teaching experiences particularly on lesson planning/preparation. Quantitative and qualitative methods of research were used wherein data were gathered through questionnaires, documentary analysis and semi-structured interviews. Results revealed that the pre-service science teachers followed the systematic method of lesson preparation with the use of detailed lesson plans. Their lesson preparation practices are good and they are already prepared to face and hurdle the task of a real classroom teacher. Despite these, there are still aspects in lesson preparation that needs to be further developed like the formulation of affective domain objectives as well as the selection of appropriate motivational  and assessment  techniques. To further develop the pre-service program for science education, the study recommends that Teacher Education Institutions continue to design programs and activities regarding pre-service teachers’ development not only in science but also in other subject areas to enhance their lesson planning skills.
Strategies In Learning Fluid Mechanics: A literature Review
Authors: Aliligay Myrr Dane S. , Rendon Justine Dave L. , Villarias Chrysler John R. , Mercado Justine C.
Published: September 2022

One of the broad and intricate subfields of physics is fluid mechanics. Learning techniques for students are an essential component of learning fluid mechanics because they increase their motivation to learn, enhance learning outcomes, and encourage active participation in class. An overview of the prior research was highlighted in this publication, and several fluid mechanics learning methodologies were looked at in this review. The study found that the majority of students performed well in group settings, particularly when fluid mechanics principles are used in practical settings, which is the most successful teaching method. The studies that were reviewed in this literature review demonstrated that offering students team-based experiential learning is the best way to inspire them to learn fluid mechanics and to recognize the value of doing so. Therefore, by developing ideas and putting them into practice through active exploration, students learn more.
Examining the School Climate and Teachers' Commitment to the Teaching Profession: Basis for a Supplementary Support Program
Authors: Jacinto Rosalie Q.
Published: September 2022

This research is intended to examine the extent of effectiveness of school climate and level of teachers’ commitment to the teaching profession. To attain this purpose, the researcher utilized descriptive-correlational research design to investigate the relationship between school climate and teachers’ commitment. The researcher composed a survey questionnaire which was subjected to validity and reliability tests and was administered to a convenient sample of a public junior high school teachers in the locale of the study. Findings reveal that the extent of effectiveness of school climate dimensions was highly effective, and teachers’ level of commitment was highly employed. The result served as the bases for the researcher to propose a supplementary support program to improve further the school climate and strengthen the level of teachers’ commitment, hence improving their schoolwork performance.