bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization Algorithm for PID Control Parameters of Electrical Equipment in Rural Electric Drainage and Irrigation Stations
Authors: Haiyan Zheng
Published: August 2022

Currently, the proportional integral derivative (PID) control algorithm is most commonly used in the field of industrial control. People are not satisfied with the existing basic theory of control theory and have started to integrate it with other disciplines. Therefore, most scholars combine control theory with a neural network, which is the product of integrating biology and computer by forming a new control theory. Similar to the above, this research work combines the neural BP network with a PID controller by making the PID control parameters of electrical equipment of rural electric drainage and irrigation stations in the experimental environment. This work first briefly introduces the structure and principle of the PID controller. After that, it analyzes the incremental PID by introducing the Z-N method of rectifying PID parameters. Finally, it selects the neural network implicit layer, activation function, network initial weights, and learning rate, and then it drives the BP neural network PID algorithm. The experiment demonstrates that the system employing the BP neural network speed PID regulator has low overshoot, quick dynamic response, high immunity, and fast regulation speed.
The Dynamics of Manufacturing Value Chain Climbing System under MPL Framework: Modeling and Simulation Based on Intelligent Transformation
Authors: Zhou Jiazi , Wen Xin
Published: August 2022

Taking intelligent manufacturing pilot enterprises such as the verification sample, this paper uses system dynamics modeling and system simulation methods to analyze the influencing factors and climbing modes of their value chain climbing system under the intelligent transformation. The results show that (1) the value chain climbing system under the intelligent transformation is divided into the original chain climbing layer, cross‐chain horizontal climbing layer, and new chain vertical climbing layer; (2) intelligence level, technological innovation level, market share, green development, and government investment all positively impact the value increase. Increased technological innovation level can effectively promote the rise of the value chain from the original chain climbing level to the cross‐chain horizontal climbing level. The increase in market scale can effectively promote the rise of the value chain from the cross‐chain horizontal climbing level to the new chain vertical climbing level. Green development has a significant impact when enterprises climb to the high end of the value chain; (3) with the deepening of intelligent transformation, the value chain system rises in an orderly, layer by layer manner.
[Retracted] An Empirical Analysis of Audio‐Visual Teaching and Network Multi‐Modal Learning Environment Theory for English Majors
Authors: Gao Yuanyuan
Published: August 2022

In order to further investigate the network multi‐modal learning environment to promote students’ ability to English audio‐visual effects and improve the quality of teaching effect, an empirical analysis of audio‐visual teaching and network multi‐modal learning environment theory for English majors was proposed in the research. The 98 students were chosen as the experiment objects from two classes in the same school. They were divided into the experiment class and the control class. The students in the experiment class were taught according to the teaching model based on network multi‐modal learning environment theory. SPSS19.0 software was used to analyze the scores before and after the experiment. After 3 months of experiment teaching, the average score of the post‐test of the experiment class was 13.65 points, 2.23 points higher than 11.42 points before the test. The average score of the control class was 11.08 points, 0.1 points lower than 11.18 points before the test. It could be seen that the teaching method based on a network multi‐modal learning environment was more conducive to improving the audio‐visual performance and the teaching effectiveness of English majors.
On Reverse Valency Based Topological Characterization of a Chemical Compound
Authors: Rosary Maria Singaraj , Fufa Samuel Asefa
Published: August 2022

Metal‐organic frameworks explicit the consequence of these frameworks with adjustable implementations, namely, energy storage gadgets of magnificent electrode materials, gas store, heterogeneous catalysis, environmental hazard, estimation of chemicals, recognizing of definite gases, controlling solids, and supercapacitors. In this paper, we give explicit expression of the reverse general Randic index, the reverse atom bond connectivity index, the reverse geometric arithmetic index, the reverse forgotten index, the reverse Balaban index, the reverse augmented index, and different types of reverse Zagreb indices of the metal‐organic framework M1TPyP‐M2 (TPyP = 5, 10, 15, 20‐tetrakis (4‐pyridyl) porphyrin and M1, M2 = Fe and Co). A graphical comparison of the calculated different types of the reverse degree based topological indices with the aid of the numerical values is also included.
The Application of Virtual Reality Technology in Sports Psychology: Theory, Practice, and Prospect
Authors: Liu Yu , Li Shuang , Guo JunRu , Chai GuoLiang , Cao ChunMei
Published: August 2022

Once virtual reality technology (Virtual Reality, VR) came out, it has received a lot of attention; in recent years, it has been widely used in the study of psychology. Because it can improve the ecological validity of experimental research, the level of conditional control, reproducibility, and avoid the dangers of field operations, it has been introduced into the field of psychology by many researchers. Compared with traditional sports psychology research methods, virtual reality technology has the characteristics of multiperception, immersion, interaction, and imagination to get a better, more realistic feel and increase people's interest in sports. Taking the application of virtual reality technology in table tennis teaching in colleges and universities as an example, this study aims to review the application of virtual reality technology in sports psychology; summarize the theory, practice, and prospect of the application of virtual reality technology in sports psychology; and add new content to the research of sports psychology. It aims to review the principles, characteristics, and application of virtual reality technology in sports psychology; summarize the advantages and disadvantages of the application of virtual reality technology in sports and point out the problems that need to be paid attention to when using this method; explore the application of virtual reality technology in sports psychology; and add new content to the research of sports psychology.
Current Status and Trends of Research on Anthracycline-Induced Cardiotoxicity from 2002 to 2021: A Twenty-Year Bibliometric and Visualization Analysis
Authors: Wang Yu , Rao Yifei , Lin Zhijian , Sa Rina , Yin Yuling , Zhang Xiaomeng , Zhang Bing
Published: August 2022

Anthracyclines constitute the cornerstone of numerous chemotherapy regimens for various cancers. However, the clinical application of anthracyclines is significantly limited to their dose-dependent cardiotoxicity. A comprehensive understanding of the current status of anthracycline-induced cardiotoxicity is necessary for in-depth research and optimal clinical protocols. Bibliometric analysis is widely applied in depicting development trends and tracking frontiers of a specific field. The present study is aimed at revealing the status and trends of anthracycline-induced cardiotoxicity during the past two decades by employing bibliometric software including R-bibliometric, VOSviewer, and CiteSpace. A total of 3504 publications concerning anthracycline-induced cardiotoxicity from 2002 to 2021 were collected from the Web of Science Core Collection database. Results showed significant growth in annual yields from 90 records in 2002 to 304 papers in 2021. The United States was the most productive country with the strongest collaboration worldwide in the field. Charles University in the Czech Republic was the institution that contributed the most papers, while 7 of the top 10 productive institutions were from the United States. The United States Department of Health and Human Services and the National Institutes of Health are the two agencies that provide financial support for more than 50% of sponsored publications. The research categories of included publications mainly belong to Oncology and Cardiac Cardiovascular Systems. The Journal of Clinical Oncology had a comprehensive impact on this research field with the highest IF value and many publications. Simunek Tomas from Charles University contributed the most publications, while Lipshultz Steven E. from the State University of New York possessed the highest

H

-index. In addition, the future research frontiers of anthracycline-induced cardiotoxicity might include early detection, pharmacogenomics, molecular mechanism, and cardiooncology. The present bibliometric analysis may provide a valuable reference for researchers and practitioners in future research directions.
Bus Single-Trip Time Prediction Based on Ensemble Learning
Authors: Huang Haifeng , Huang Lei , Song Rongjia , Jiao Feng , Ai Tao
Published: August 2022

The prediction of bus single-trip time is essential for passenger travel decision-making and bus scheduling. Since many factors could influence bus operations, the accurate prediction of the bus single-trip time faces a great challenge. Moreover, bus single-trip time has obvious nonlinear and seasonal characteristics. Hence, in order to improve the accuracy of bus single-trip time prediction, five prediction algorithms including LSTM (Long Short-term Memory), LR (Linear Regression), KNN (K-Nearest Neighbor), XGBoost (Extreme Gradient Boosting), and GRU (Gate Recurrent Unit) are used and examined as the base models, and three ensemble models are further constructed by using various ensemble methods including Random Forest (bagging), AdaBoost (boosting), and Linear Regression (stacking). A data-driven bus single-trip time prediction framework is then proposed, which consists of three phases including traffic data analysis, feature extraction, and ensemble model prediction. Finally, the data features and the proposed ensembled models are analyzed using real-world datasets that are collected from the Beijing Transportation Operations Coordination Center (TOCC). Through comparing the predicting results, the following conclusions are drawn: (1) the accuracy of predicting by using the three ensemble models constructed is better than the corresponding prediction results by using the five sub-models; (2) the Random Forest ensemble model constructed based on the bagging method has the best prediction accuracy among the three ensemble models; and (3) in terms of the five sub-models, the prediction accuracy of LR is better than that of the other four models.
Design of the University Psychological Health Management System Based on Data Discovery
Authors: Wang Liangbin , Yuan Guofu
Published: August 2022

University students’ psychological state has not only an impact on their individual development but also on the campus’s stability, which in turn has an impact on social cohesion and the general enhancement of human excellence. This article aims to conduct an in-depth study on the management system of psychological health in universities based on data discovery to determine whether university students have psychological problems in time, prevent extreme phenomena, and enhance the efficiency of psychological counseling in universities. This study initially discusses the general functional structure of the mental health management system at universities before breaking it down into three primary modules: user information function management; psychological testing and psychological caution; and psychological counseling management. Furthermore, it analyses and classifies data from the mental health management system using decision tree algorithms written in C4.5. It can effectively solve the problem of multiple attributes that tend to select values when selecting test attributes of the information gain by using the index of split as the information gain rate, which completes the design of the mental health management system by utilizing data discovery. The simulation experiments of the proposed work show that the suggested system has high security and accuracy of discovery, which can effectively improve the efficiency of psychological counseling work in universities.
Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm
Authors: Guan Xueming , Ma Yaozhi
Published: August 2022

In order to improve the efficiency of wireless network virtualization resource processing, this paper combines the dynamic resource allocation algorithm to construct a wireless network virtualization resource sharing model. This paper proposes a task-oriented resource management model and uses the task-oriented TRS model to describe resources and service processes, reducing the complexity of formulating resource allocation strategies. Moreover, this paper comprehensively considers factors such as centralized coordination control cost and limited domain topology visibility to improve the dynamic resource allocation algorithm. Through comparative research, it can be seen that the wireless network virtualization resource sharing method proposed in this paper considering the dynamic resource allocation algorithm can effectively improve the processing efficiency of wireless network virtualization resources.
ICT System for 14.0 Adoption: Comparative Study to Assess the Readiness in Manufacturing MSMEs
Authors: Nandhini S. , Palanivelu V. R. , Panigrahy Asisa Kumar , Vignesh N. Arun , Kasirajan Ramachandran
Published: August 2022

One of India’s fastest‐growing industries is the manufacturing sector centered on exports. Additionally, it has a greater impact on the economic development of India. Technology in the export‐oriented manufacturing sector makes a significant contribution to the rise in productivity, which also boosts profits. The study’s major goal is to learn more about the adoption of the 14.0 ICT system by manufacturing enterprises with reference to MSMEs and to evaluate its efficacy. In order to gather information for this goal, a survey approach was used, with the dimensions of ICT infrastructure, ICT hardware, software, and information systems, as well as people and human resource factors, as the instruments. Multiple regression and descriptive statistics were used to evaluate the data on a sample size of 7 businesses from the Pondicherry region. The conclusion is that firms have a significant gap in their ICT preparedness in terms of ICT infrastructure, ICT hardware, software, and information systems, and this must be treated seriously by the businesses if technology advancement is to continue in the future.
[Retracted] Beta‐Sitosterol Facilitates GLUT4 Vesicle Fusion on the Plasma Membrane via the Activation of Rab/IRAP/Munc 18 Signaling Pathways in Diabetic Gastrocnemius Muscle of Adult Male Rats
Authors: Pei JinJin , Prasad Monisha , Mohamed Helal Ghada , El-Sherbiny Mohamed , Abdelmonem Elsherbini Dalia Mahmoud , Rajagopal Ponnulakshmi , Palanisamy Chella Perumal , Veeraraghavan Vishnu Priya , Jayaraman Selvaraj , Surapaneni Krishna Mohan
Published: August 2022

Nutritional overload in the form of high‐fat and nonglycolysis sugar intake contributes towards the accelerated creation of reactive oxygen species (ROS), hyperglycemia, and dyslipidemia. Glucose absorption and its subsequent oxidation processes in fat and muscle tissues alter as a consequence of these modifications. Insulin resistance (IR) caused glucose transporter 4 (GLUT4) translocation to encounter a challenge that manifested itself as changes in glycolytic pathways and insulin signaling. We previously found that beta (β)‐sitosterol reduces IR in fat tissue via IRS‐1/PI3K/Akt facilitated signaling due to its hypolipidemic and hypoglycemic activity. The intention of this research was to see whether the phytosterol β‐sitosterol can aid in the translocation of GLUT4 in rats fed on high‐fat diet (HFD) and sucrose by promoting Rab/IRAP/Munc 18 signaling molecules. The rats were labeled into four groups, namely control rats, HFD and sucrose‐induced diabetic control rats, HFD and sucrose‐induced diabetic rats given oral dose of 20 mg/kg body wt./day of β‐sitosterol treatment for 30 days, and HFD and sucrose‐induced diabetic animals given oral administration of 50 mg/kg body wt./day metformin for 30 days. Diabetic rats administered with β‐sitosterol and normalized the titers of blood glucose, serum insulin, serum testosterone, and the status of insulin tolerance and oral glucose tolerance. In comparison with the control group, β‐sitosterol effectively regulated both glycolytic and gluconeogenesis enzymes. Furthermore, qRT‐PCR analysis of the mRNA levels of key regulatory genes such as SNAP23, VAMP‐2, syntaxin‐4, IRAP, vimentin, and SPARC revealed that β‐sitosterol significantly regulated the mRNA levels of the above genes in diabetic gastrocnemius muscle. Protein expression analysis of Rab10, IRAP, vimentin, and GLUT4 demonstrated that β‐sitosterol had a positive effect on these proteins, resulting in effective GLUT4 translocation in skeletal muscle. According to the findings, β‐sitosterol reduced HFD and sucrose‐induced IR and augmented GLUT4 translocation in gastrocnemius muscle through insulin signaling modulation via Rab/IRAP/Munc 18 and glucose metabolic enzymes. The present work is the first of its kind to show that β‐sitosterol facilitates GLUT4 vesicle fusion on the plasma membrane via Rab/IRAP/Munc 18 signaling molecules in gastrocnemius muscle.
Time Parallel Denoising Algorithm Based on P-M Equation for Real Image
Authors: He Guoliang
Published: August 2022

This paper combines the regularized Perona and Malik model with the time parareal algorithm to denoise the real image which has the characteristics of typical Gaussian noise. This method can remove the noise stably and effectively and has high calculation efficiency. For the real color image of

6000
×
4000

pixels, the time cost can be shortened from one minute in serial computing to a few seconds based on our combination method if we do not care about the requirement of computing hardware. This provides some reference for practical engineering application.
Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks
Authors: P Ajay. , B Nagaraj. , Huang Ruihang
Published: August 2022

Existing communication networks have inherent limitations in translation theory and adapt to address the complexity of repairing new remote applications at the highest possible level. For further investigation, you are more likely to pass this test using a data-driven program and increasing the exposure of your wireless network with limited distance resources. This study focuses on various deep learning strategies used in peer-to-peer communication networks. It discusses autoencoders, productive enemy networks, deep emotional networks, common neural networks, and long-term memory, all of which show promise in all aspects of a wireless communication network. In social networks, all of these strategies provide significant reliability, robustness, and cost-effective solutions. In-depth learning enhances test-based performance that helps design, develop, and adapt wireless communication networks.
The Characteristic Mode of Sports Health Education in Colleges and Universities in the New Era
Authors: Chen Jiaquan , Guo Lixi
Published: August 2022

The competition in the new era is fundamentally the competition of talents and the competition of national independent innovation ability. Only through education, we can better cultivate talents and better improve the quality and level of talents. College sports emphasize that track and field are the foundation of various sports and regard track and field as the key teaching materials. There is no specific grade requirement, and each school compiles its own teaching schedule. While cultivating high-quality talents, we strengthen physical education and achieve all-round development. The purpose of this study is to study the characteristic mode of sports health learning at a fresh age, explore new sports teaching modes, promote the development of college sports, and cultivate students’ lifelong sports skills and lifelong sports awareness. This study takes college physical education teachers and students as the objects of investigation and interviews and carries out research work through field inspections of colleges and universities. Through the analysis of the current situation, this study describes and analyzes the mainstream phenomenon of physical education concept expression and reflects on the existing problems on this basis. The experimental data in this study shows that 19 girls and 8 boys think that the load intensity is higher, indicating that girls have a larger training load; 82 people participate in swimming, accounting for 93% of the total number, indicating that traditional courses have advantages.
Simulation of Tennis Spinning Ball Flight Path Based on Fuzzy Reasoning Algorithm
Authors: Chen Lei , Kafilaleh Yones
Published: August 2022

Topspin is one of the most widely used hitting techniques in a tennis match and it is an effective tool to win over the opponent. Hence, flight path simulation of a spinning ball can be a tremendous analysis tool to help tennis players perfect their game. This article proposes a fuzzy logic model based on the principles of kinematics and mechanics. This study analyzes the physical characteristics of a spinning ball during the flight process, which are divided into two categories: the characteristics of the ball on impact (including the floating and rotating it causes) and the landing rebound characteristics. These two characteristics are considered as the constraints of the flight path simulation and the inputs of the fuzzy logic model. Fuzzy logic is used to fuzzify the impact and landing rebound information of the ball based on the knowledge base, solve the problem, and finally defuzzify the results into crisp outputs, that is, accurate flight trajectory. The simulation results show that the estimation error of the proposed model is lower than 3.7 cm/s and 0.9°, and the success rate of accurate topspin execution is 100%, indicating that the proposed model is effective to train tennis players.
Efficacy of Fluticasone and Salmeterol Dry Powder in Treating Patients with Bronchial Asthma and Its Effect on Inflammatory Factors and Pulmonary Function
Authors: Zhang Xiaodan , Liu Min , Mao Yuhong
Published: August 2022

Objective. To evaluate the efficacy of fluticasone and salmeterol dry powder in treating patients with bronchial asthma and its effects on inflammatory factors and pulmonary function. Methods. One hundred patients with bronchial asthma, admitted to our hospital between April 2019 and June 2020, were enrolled and assigned into two groups using the random number table method. The observation group (n = 50) received budesonide powder, and the experimental group received fluticasone and salmeterol dry powder. The two groups were compared with regard to clinical efficacy, inflammatory factors, pulmonary function, and adverse reactions. Results. In the experimental group, the total effective rate of treatment was significantly higher than that in the observation group (

P
<
0.05

); after treatment, the levels of inflammatory factors in the experimental group were lower than those in the observation group (

P
<
0.05

); after treatment, lung function in the experimental group was significantly higher than that in the observation group (

P
<
0.05

); the incidence of adverse reactions in the experimental group was significantly lower than that in the observation group (

P
<
0.05

). Conclusion. Salmeterol and fluticasone powder has shown impressive clinical benefits in the treatment of bronchial asthma patients. It might be a viable approach to reduce inflammatory factors and improve pulmonary function. Moreover, its good clinical safety profile makes it a promising treatment that ought to be promoted and used widely.
Resolution of English Event Pronouns Based on Machine Learning
Authors: Qiu Lu , Feng Wei
Published: August 2022

As the basis of machine translation, anaphora aims to let the machine determine the entity or event to which the sentence refers by exploring the anaphora relationship between sentences. Prior to this, the research on anaphora resolution mainly focused on the resolution of entity anaphora. Through unremitting efforts, the elimination of entity-reference relationship has achieved great success, but the equally important event reference has been stagnant. This means that we can promote the development of machine translation by enhancing event reference. In this paper, a new method is proposed, which uses the latest machine learning algorithm to eliminate English event pronouns. Through feature extraction, data preprocessing, and the introduction of end-to-end double-loop neural network and attention mechanism, the network’s ability to acquire contextual features is improved, and finally, the purpose of eliminating English event pronouns is achieved. In the experimental part, this paper also conducts training and testing on the latest data set KBP. It is found that the model algorithm proposed in this paper can perform the task of experimental setup well, and the value of 40.3% F1 is given under CONLL evaluation index. This proves that the model can understand semantic information very effectively and extract relevant information from the given semantic information.
A Distinct Chromatin State Drives Therapeutic Resistance in Invasive Lobular Breast Cancer
Authors: Nardone Agostina , Qiu Xintao , Spisak Sandor , Nagy Zsuzsanna , Feiglin Ariel , Feit Avery , Cohen Feit Gabriela , Xie Yingtian , Font-Tello Alba , Guarducci Cristina , Hermida-Prado Francisco , Syamala Sudeepa , Lim Klothilda , Munoz Gomez Miguel , Pun Matthew , Cornwell MacIntosh , Liu Weihan , Ors Aysegul , Mohammed Hisham , Cejas Paloma , Brock Jane B. , Freedman Matthew L. , Winer Eric P. , Fu Xiaoyong , Schiff Rachel , Long Henry W. , Metzger Filho Otto , Jeselsohn Rinath
Published: August 2022

Most invasive lobular breast cancers (ILC) are of the luminal A subtype and are strongly hormone receptor–positive. Yet, ILC is relatively resistant to tamoxifen and associated with inferior long-term outcomes compared with invasive ductal cancers (IDC). In this study, we sought to gain mechanistic insights into these clinical findings that are not explained by the genetic landscape of ILC and to identify strategies to improve patient outcomes. A comprehensive analysis of the epigenome of ILC in preclinical models and clinical samples showed that, compared with IDC, ILC harbored a distinct chromatin state linked to gained recruitment of FOXA1, a lineage-defining pioneer transcription factor. This resulted in an ILC-unique FOXA1–estrogen receptor (ER) axis that promoted the transcription of genes associated with tumor progression and poor outcomes. The ILC-unique FOXA1–ER axis led to retained ER chromatin binding after tamoxifen treatment, which facilitated tamoxifen resistance while remaining strongly dependent on ER signaling. Mechanistically, gained FOXA1 binding was associated with the autoinduction of FOXA1 in ILC through an ILC-unique FOXA1 binding site. Targeted silencing of this regulatory site resulted in the disruption of the feed-forward loop and growth inhibition in ILC. In summary, ILC is characterized by a unique chromatin state and FOXA1–ER axis that is associated with tumor progression, offering a novel mechanism of tamoxifen resistance. These results underscore the importance of conducting clinical trials dedicated to patients with ILC in order to optimize treatments in this breast cancer subtype.

Significance:

A unique FOXA1–ER axis in invasive lobular breast cancer promotes disease progression and tamoxifen resistance, highlighting a potential therapeutic avenue for clinical investigations dedicated to this disease.

See related commentary by Blawski and Toska, p. 3668
Targeting Plk1 Sensitizes Pancreatic Cancer to Immune Checkpoint Therapy
Authors: Zhang Zhuangzhuang , Cheng Lijun , Li Jie , Qiao Qi , Karki Anju , Allison Derek B. , Shaker Nuha , Li Kunyu , Utturkar Sagar M. , Atallah Lanman Nadia M. , Rao Xiongjian , Rychahou Piotr , He Daheng , Konieczny Stephen F. , Wang Chi , Shao Qing , Evers B. Mark , Liu Xiaoqi
Published: August 2022

Polo-like kinase 1 (Plk1) plays an important role in cell-cycle regulation. Recent work has suggested that Plk1 could be a biomarker of gemcitabine response in pancreatic ductal adenocarcinoma (PDAC). Although targeting Plk1 to treat PDAC has been attempted in clinical trials, the results were not promising, and the mechanisms of resistance to Plk1 inhibition is poorly understood. In addition, the role of Plk1 in PDAC progression requires further elucidation. Here, we showed that Plk1 was associated with poor outcomes in patients with PDAC. In an inducible transgenic mouse line with specific expression of Plk1 in the pancreas, Plk1 overexpression significantly inhibited caerulein-induced acute pancreatitis and delayed development of acinar-to-ductal metaplasia and pancreatic intraepithelial neoplasia. Bioinformatics analyses identified the regulatory networks in which Plk1 is involved in PDAC disease progression, including multiple inflammation-related pathways. Unexpectedly, inhibition or depletion of Plk1 resulted in upregulation of PD-L1 via activation of the NF-κB pathway. Mechanistically, Plk1-mediated phosphorylation of RB at S758 inhibited the translocation of NF-κB to nucleus, inactivating the pathway. Inhibition of Plk1 sensitized PDAC to immune checkpoint blockade therapy through activation of an antitumor immune response. Together, Plk1 suppresses PDAC progression and inhibits NF-κB activity, and targeting Plk1 can potentiate the efficacy of immunotherapy in PDAC.

Significance:

Inhibition of Plk1 induces upregulation of PD-L1 expression in pancreatic ductal adenocarcinoma, stimulating antitumor immunity and sensitizing tumors to immunotherapy.
A First-in-Class Inhibitor of ER Coregulator PELP1 Targets ER+ Breast Cancer
Authors: Altwegg Kristin A. , Viswanadhapalli Suryavathi , Mann Monica , Chakravarty Dimple , Krishnan Samaya , Liu Zexuan , Liu Junhao , Pratap Uday P. , Ebrahimi Behnam , Sanchez John R. , Li Xiaonan , Ma Shihong , Park Ben H. , Santhamma Bindu , Chen Yidong , Lai Zhao , Raj Ganesh V. , Yuan Yaxia , Zhou Daohong , Sareddy Gangadhara R. , Tekmal Rajeshwar R. , McHardy Stan , Huang Tim H.-M. , Rao Manjeet K. , Vankayalapati Hariprasad , Vadlamudi Ratna K.
Published: August 2022

Most patients with estrogen receptor alpha–positive (ER+) breast cancers initially respond to treatment but eventually develop therapy resistance with disease progression. Overexpression of oncogenic ER coregulators, including proline, glutamic acid, and leucine-rich protein 1 (PELP1), are implicated in breast cancer progression. The lack of small molecules that inhibits PELP1 represents a major knowledge gap. Here, using a yeast-two-hybrid screen, we identified novel peptide inhibitors of PELP1 (PIP). Biochemical assays demonstrated that one of these peptides, PIP1, directly interacted with PELP1 to block PELP1 oncogenic functions. Computational modeling of PIP1 revealed key residues contributing to its activity and facilitated the development of a small-molecule inhibitor of PELP1, SMIP34, and further analyses confirmed that SMIP34 directly bound to PELP1. In breast cancer cells, SMIP34 reduced cell growth in a dose-dependent manner. SMIP34 inhibited proliferation of not only wild-type (WT) but also mutant (MT) ER+ and therapy-resistant breast cancer cells, in part by inducing PELP1 degradation via the proteasome pathway. RNA sequencing analyses showed that SMIP34 treatment altered the expression of genes associated with estrogen response, cell cycle, and apoptosis pathways. In cell line–derived and patient-derived xenografts of both WT and MT ER+ breast cancer models, SMIP34 reduced proliferation and significantly suppressed tumor progression. Collectively, these results demonstrate SMIP34 as a first-in-class inhibitor of oncogenic PELP1 signaling in advanced breast cancer.

Significance:

Development of a novel inhibitor of oncogenic PELP1 provides potential therapeutic avenues for treating therapy-resistant, advanced ER+ breast cancer.
SLFN11 Negatively Regulates Noncanonical NFκB Signaling to Promote Glioblastoma Progression
Authors: Fischietti Mariafausta , Eckerdt Frank , Perez Ricardo E. , Guillen Magaña Jamie N. , Mazewski Candice , Ho Sang , Gonzalez Christopher , Streich Lukas D. , Beauchamp Elspeth M. , Heimberger Amy B. , Baran Aneta H. , Yue Feng , James C. David , Platanias Leonidas C.
Published: August 2022

Glioblastoma (GBM) is an aggressive and incurable brain tumor in nearly all instances, whose disease progression is driven in part by the glioma stem cell (GSC) subpopulation. Here, we explored the effects of Schlafen family member 11 (SLFN11) in the molecular, cellular, and tumor biology of GBM. CRISPR/Cas9-mediated knockout of SLFN11 inhibited GBM cell proliferation and neurosphere growth and was associated with reduced expression of progenitor/stem cell marker genes, such as NES, SOX2, and CD44. Loss of SLFN11 stimulated expression of NFκB target genes, consistent with a negative regulatory role for SLFN11 on the NFκB pathway. Furthermore, our studies identify p21 as a direct transcriptional target of NFκB2 in GBM whose expression was stimulated by loss of SLFN11. Genetic disruption of SLFN11 blocked GBM growth and significantly extended survival in an orthotopic patient-derived xenograft model. Together, our results identify SLFN11 as a novel component of signaling pathways that contribute to GBM and GSC with implications for future diagnostic and therapeutic strategies.

Significance:

We identify a negative regulatory role for SLFN11 in noncanonical NFκB signaling that results in suppression of the cell-cycle inhibitor p21. We provide evidence that SLFN11 contributes to regulation of stem cell markers in GBM, promoting the malignant phenotype. In addition, SLFN11 targeting triggers p21 expression and antitumor responses. Our studies define a highly novel function for SLFN11 and identify it as a potential therapeutic target for GBM.
Hemoperfusion in Maintenance Hemodialysis Patients
Authors: Lu Wei , Jiang Gengru ,   on behalf of Shanghai HP-HD Consensus Group
Published: August 2022

The accumulation of protein-bound uremic toxins and medium-large molecule toxins in maintenance hemodialysis (MHD) patients is one of the causes of long-term dialysis-related complications. Hemoperfusion can remove these uremic toxins and reduce the complications of MHD patients. Upon a review of the Chinese and international literature, combined with practical experience of clinical diagnosis and treatment, the Shanghai Medical Association Society of Nephrology reached a consensus on the clinical applications of hemoperfusion in MHD patients. This consensus included four aspects: selection of appropriate patients, treatment frequency, treatment methods, and adverse reactions and precautions and provided guidelines for the rational and standardized treatment of hemoperfusion in MHD patients.
Perceptions of Criminology and Non-Criminology Students on Management of Arms and Ammunition from Selected University in Metro Manila
Authors: Gantalao Jilmar S.
Published: August 2022

The increasing rate of gun-related deaths in the Philippines is one of the challenging variables in the management of arms and ammunition for effective safekeeping operations. This study describes the perceptions of the students towards management or arms and ammunition, and the relationship between the profile variates of the two-groups of respondents and the level of awareness on management of arms and ammunition. This descriptive correlational research determined the perceptions of 200 students towards management or arms and ammunition, and the relationship between the profile variates of the two-groups of respondents and the level of awareness on management of arms and ammunition. A researcher-developed questionnaire was utilized. During the conduct of the study, strict ethical principles including confidentiality and non-disclosure agreement were considered. Data were analyzed using frequency, percentage distribution, mean, rank, and Pearson's correlation coefficient. Accordingly, Carrying of Firearms Outside of Residence or Place of Business has the highest mean score of 3.39, interpreted as Highly Aware, Abandoned Firearms and Ammunition, and Death or Disability of the Licensee with a mean score of 1.95, interpreted as Slightly Aware (SA). The year level , number of trainings attended , gun ownership , family monthly gross income  show significant relationships to the criminology student respondents level of awareness on effective strategies in weapons and ammunition management. Further, the number of trainings attended , gun ownership , and family monthly gross income  show significant relationship to the non-criminology student respondents level of awareness on management of arms and ammunition. The majority of the respondents concur that the importance of having the permit to carry firearms outside of residence or place of business issued by the Chief, PNP, or by his/her duly authorized representative to the licensed citizen allowing him/her to carry the firearm outside the residence or place of business, as such, display of firearms is prohibited. Furthermore, the year level, number of training attended, gun ownership, and family monthly gross income has a direct positive effect on the criminology student respondents level of awareness on effective strategies in weapons and ammunition management, while the number of training attended, gun ownership, and family monthly gross income has a direct positive effect on the non-criminology student respondents level of awareness on management of arms and ammunition. Therefore, school administrators should provide and recalibrate complete gun safety training to ensure those gun owners are educated on the responsible practices for handling and using firearms, storing them securely at home, as well as carrying guns in public. Further studies may be conducted on policy analysis, enforcement, and analytical methods are applied to curb firearms-related violence.
Blended Learning Modality in the New Normal Inputs Localized Learning Management System Proposal
Authors: Villasenor Ma. Vivian S.
Published: August 2022

Blended learning is the combination of online distant learning being used in the schools.  In the city where connectivity is proven, there are students who can adapt and yet there are also students who do not have a connectivity. In this way problem arises. We asked parents about this platform and from the parents themselves agreed from the school survey favored the digital modular learning. But in other localities preferred other modalities of learning. A lot of research involves teachers but seldom on the parents’ side. This is the researcher’s attempt to hear from the side of the parents and be a contributor to the effectiveness of Blended learning modality in Rizal High School.

This study aimed to determine the Blended Learning Modality in the new normal and propose an input localized learning management system in the school. Specifically, it sought to answers the following problems: 1) what is the profile of parents’ respondents in terms of the following variables: Age; Educational background; Type of Internet connection; Gadget Access at home? 2) What is the assessment of respondents in the blended learning modality of the school in terms of the following variables:  Platform & Support and Governance and Challenges encountered in the blended learning modality by the group of respondents? 3.) Is there significant relationship in the assessment of parents towards blended learning modality in terms of type of internet connection they have at home? 4. What proposal from the parents as inputs in the localized blended learning modality of Rizal High School? The descriptive method of research employed in this study. The subjects of the study were the parents at Rizal High School primarily the researcher’s handled section.
Problems in Evaluating the Effectiveness of Sales Promotion Activities
Authors: Brar Vinaydeep , Kumar Atul , Ramgade Atul
Published: August 2022

Organisations spend substantial amounts on sales promotion of goods and services. They ought to know the effectiveness of the sales promotion activities. To evaluate this effectiveness, different metrics are used. These include profits, return on investment, sales volume, pull-forward, halo, cannibalisation, engagement of old customers, customer satisfaction, and others. Easier said than done, evaluating the effectiveness of sales promotion activities can be a complicated task in practice, especially if there are multiple products involved. Allocation of revenue and costs over products and periods can be complex. There might be expected costs, and the division of such expenses can pose problems. A suitable basis needs to be developed for the allocation. In this paper, we present the practical difficulties involved in evaluating the effectiveness of sales promotion activities based on a survey of 110 marketing managers working in large MNCs from Pune. Findings suggest that multiple issues crop up in the actual evaluation, and at times, some approximation goes into the exercise of assessment.
Management Practices of Cooperatives: Roadmap Towards Improved Performance and Sustainability
Authors: Jumawan April R.
Published: August 2022

The pandemic has demonstrated the cooperatives’ preparation, preparedness, and ability to respond to the needs of their members and the community. The study aimed to assess the level of management practices observed by the cooperatives and to identify constraints faced in their operations before and during the pandemic. A quantitative research method was used. Interviews were performed in person and over-the-phone. Survey questionnaires were developed and put through a pilot test. Moreover, a Google form link was provided to respondents who wished to respond online. Minitab, a statistical tool, was used to aid with all data analysis. It has been discovered that cooperatives can significantly enhance their financial performance by properly managing their working capital, capital structure, and capital budgeting. Non-financial management techniques were also significant to cooperatives’ development. This work, in particular, provides vital information for comprehending the intricacies of many topics connected to cooperative operations.
COVID-19 and New Normal Education: Modular Learning Styles, Study Hab-its, and Performance of Grade I Learners
Authors: Pentang Jupeth , Muhat Jeneca Paredes , Bentor Glenda Daculan
Published: August 2022

Learning styles and study habits are essential in developing knowledge and perception. Study habits reveal how much a person will learn, how far he wants to go, and how much money he wants to make. All these things can be determined throughout one's life by studying habits. As a result, it's considered that study habits are linked to learning style or academic success. This descriptive-correlational study investigates the relationship between the learners' study habits, learning styles, and academic achievement, considering 64 randomly chosen participants. The researchers applied descriptive statistics to describe the participants' study habits, learning style, and academic success and Pearson's r to determine the relationship among the variables. The findings revealed that the learners favored feelings and doing. They have adaptors as their primary learning styles, and they have a modest level of study habits. They also have a high academic achievement level. Finally, there were substantial connections between the variables. The study's findings can help instructors design and deliver effective instructional interventions.
Job Satisfaction and Work Commitment of Hospitality Industry Employees in Dapitan City
Authors: Bureros Anna Rhea Michelle S.
Published: August 2022

This study investigated the relationship between job satisfaction and work commitment among Dapitan City’s hospitality industry employees. It used a descriptive research method utilizing a questionnaire as the principal tool for gathering data. Data were statistically treated using frequency, weighted mean, Mann-Whitney U-Test, Kruskal-Wallis H-Test, and Spearman Rank-Order Correlation. The study revealed that employees were satisfied with their salary (existence), work environment (relatedness), and the way they were mentored in the performance of their jobs (growth). Most of the employees were committed to their work as they identified that the establishment had a deep sense of personal meaning to them (affective); that, for now, choosing to remain in the organization is motivated by both necessity and desire (continuance); and the establishment deserves their loyalty (normative). A significant difference resulted in job satisfaction when analyzed according to civil status. Moreover, when analyzed according to educational attainment and employment status, a significant difference was identified in employees' work commitment. Finally, it was discovered that among hospitality industry employees in Dapitan City, job satisfaction and work commitment have a considerably high positive relationship. Hospitality industry stakeholders and employees are encouraged to support educational advancement and enhance management practices to minimize employee turnover. Legislators and policymakers are encouraged to enact policies and measures in line with the improvement and advancement of hospitality industry employees.
Training and Development of the Rank-and-File Employees among Select-ed Hotels in Cebu City
Authors: Polinar Mark Anthony N. , Nardo Gladys O. , Delantar Alexander Franco A. , Buntiago John Lemuel G.
Published: August 2022

Employees constitute the definitive business resource for enhancing product quality and service excellence and consequently amplifying customer satisfaction. Without adequate training and development (T&D), employees would invariably be inept at unleashing their full potential. This study investigated the mechanisms employed in T&D programs for rank-and-file employees of several hotels in Cebu City. The study employed a quantitative method in a descriptive research design obtaining information from 71 respondents. Slovin's approach and convenience sampling were used. The weighted mean was employed in tabulation and quantification process. The findings revealed that respondents considered programmed instructions, job rotation, job simulation, role modeling, lectures, and team training to be very effective in the training programs. The authors concluded that these mechanisms if appropriately and situationally tweaked and rationalized, will result in more precise and targeted response to training issues leading to service excellence and customer satisfaction. A set of appropriate recommendations was drafted for possible use by establishments similarly situated