bluuebunny/crossref_metadata_2025 huggingface dataset:
Patients with Colon Cancer Benefit from Using the Therapeutic Target lncRNA GAPLINC
Authors: Li Hao-Tian , Zhang Yan , Shi Yu-Sheng
Published: February 2023

Background: According to recent reports, some cancer subtypes have increased GAPLINC expression. The invasion and dissemination of cancer cells may be facilitated by GAPLINC expression. However, the therapeutic utility of GAPLINC in colon cancer (COAD) has not been studied.
Materials/Methods: We evaluated the mRNA expression of GAPLINC in COAD patients using data from the Cancer Genome Map to identify the pathway connected with GAPLINC implicated in the etiology of COAD (TCGA). In this investigation, we used 480 tumor samples and 41 standard samples.
Results: The expression of GAPLINC varied between normal and malignant samples, as seen by scatter plots and paired plots (P<0.05). An examination of overall survival time (OS) revealed that patients with COAD who had high GAPLINC expression had a poorer prognosis than patients with COAD who had low GAPLINC expression (P<0.05). GAPLINC expression and the main treatment result were independent prognostic factors for COAD patients in a multivariate Cox proportional hazards model research. According to GSEA findings, the reaction group's biological oxidation and angiogenesis pathways were too varied degrees enriched in the COAD samples with the GAPLINC overexpression phenotype. Genes relevant to the differentiation of epidermal cells and the control of endocrine processes were discovered in a GO investigation of individuals with high GAPLINC expression. The G protein-coupled receptor signal transduction pathway driven by phospholipase C was altered.
Conclusions: Our findings support severe clinical characteristics associated with greater GAPLINC expression levels in COAD. A useful prognostic tool may be GAPLINC, a molecular biomarker linked to the poor prognosis of COAD patients.
Bioengineered stem cell membrane functionalized nanoparticles combine anti-inflammatory and antimicrobial properties for sepsis treatment
Authors: Lu Lu , Li Jian , Yuan Junbin , Nie Xinmin , Huang Xueyuan , Dong Hang , Su Yanrong , Huang Yufeng , Kou Qingjie , Liu Leping , Liu Haiting , Zhou Xionghui , Gui Rong , Gu Lan
Published: February 2023

Background
Sepsis is a syndrome of physiological, pathological and biochemical abnormalities caused by infection. Although the mortality rate is lower than before, many survivors have persistent infection, which means sepsis calls for new treatment. After infection, inflammatory mediators were largely released into the blood, leading to multiple organ dysfunction. Therefore, anti-infection and anti-inflammation are critical issues in sepsis management.
Results
Here, we successfully constructed a novel nanometer drug loading system for sepsis management, FZ/MER-AgMOF@Bm. The nanoparticles were modified with LPS-treated 'bone marrow mesenchymal stem cell (BMSC) membrane, and silver metal organic framework (AgMOF) was used as the nanocore for loading FPS-ZM1 and meropenem which was delivery to the infectious microenvironments (IMEs) to exert dual anti-inflammatory and antibacterial effects. FZ/MER-AgMOF@Bm effectively alleviated excessive inflammatory response and eliminated bacteria. FZ/MER-AgMOF@Bm also played an anti-inflammatory role by promoting the polarization of macrophages to M2. When sepsis induced by cecal ligation and puncture (CLP) challenged mice was treated, FZ/MER-AgMOF@Bm could not only reduce the levels of pro-inflammatory factors and lung injury, but also help to improve hypothermia caused by septic shock and prolong survival time.
Conclusions
Together, the nanoparticles played a role in combined anti-inflammatory and antimicrobial properties, alleviating cytokine storm and protecting vital organ functions, could be a potential new strategy for sepsis management.
Comprehensive analysis of Classical Machine Learning models and Ensemble methods for predicting Crime in urban society
Authors: Divyasri S.R , Saranya R , P.Kathiravan
Published: February 2023

Crimes are a social issue that affects not only an individual but also humanity. Crime classification techniques for crime forecasting are an emerging research area. generally, Crime data are centrally organized with regular maintenance of the criminal registers that can aid officers in sharing observations and improve early alert approaches to keep the citizens secure within their towns. Hence, the aim of this study is to compare the performance of the state-of-the-art Dynamic Ensemble Selection of Classifier algorithms for predicting crime. We used five different benchmark crime datasets (Chicago, San Francisco, Pheonix, Boston, and Vancouver) for this experimental research work. The performance of the state-of-the-art dynamic ensemble selection of classifiers algorithms was evaluated and compared using various performance evaluation metrics such as accuracy, F1-score, precision, and recall. The KNORA Dynamic ensemble algorithms, which select the subset of ensemble members before the forecasting, outperformed the typical machine learning algorithms, and also the traditional ensemble algorithm techniques in terms of accuracy showed that the dynamic ensemble algorithms are more powerful. This ability to predict crimes within urban societies can help citizens, and law enforcement makes precise informed conclusions and preserves the neighborhoods more unassailably to improve the quality of life for humans.
Experimental research on supercritical CO2 true triaxial pneumatic fracturing
Authors: Wang Xiaofei , Wang Enyuan , Hu Shaobin
Published: February 2023

The application of supercritical CO2 pneumatic fracturing technology to the development of shale gas and coalbed methane was explored. Experimental tests were conducted using the first true triaxial SC-CO2 pneumatic fracturing experimental system, and the effects of initial air pressure and energy-accumulation agent dosage on pressure changes and the initiation and propagation of fracturing were studied. Through the analysis of the pressure curve, it is found that, at a certain volume, the efficiency of reaction pressurisation can be improved by appropriately increasing the amount of accumulator and increasing the initial air pressure; compared with hydraulic fracturing and SC-CO2 fracturing, the process of pneumatic fracturing is more similar to that of blasting in rock. The reverse tensile stress wave generated in the process of pneumatic fracturing is the cause of the annular cracks; the cracks on the surface of the sample after the cracking exhibit fractal characteristics, with a good linear fit between the fractal dimension Fd and the damage variable w, as defined by the cracked area. Since the fractal dimension can better describe the complexity of the crack, using the fractal dimension as the damage variable can better describe the degree of damage. The research provides a reference for the engineering problem of the new waterless fracturing technique of SC-CO2 pneumatic fracturing in shale gas production.
Sonographic Follow-Up after Pyeloplasty: A Large, Retrospective Cohort Analysis
Authors: Wickramasekara Nipun , Ignatius Jenosha , Lamahewage Ananda
Published: February 2023

Purpose
Routine scintigraphy after surgery for uretero-pelvic junction obstruction (UPJO) is discouraged, making ultrasound the preferred option for follow up. Yet, interpretation of sonographic parameters is rarely straightforward.
Methods
We reviewed 111 cases including 97 pyeloplasty (52 open, 45 laparoscopic) and 14 pyelopexy, during a 7-year period. Pre- and postoperative pelvic Antero-Posterior Diameter (APD), Cortical Thickness (CT) and Pelvic/Cortex Ratio (PCR) was measured serially.
Results
85% were free of symptoms by 1 year. Only 11% had complete resolution of hydronephrosis. Eleven (10.4%) needed a redo procedure. Mean reduction in APD was 32.6%, 45.8%, and 51.7% at 6 weeks, 3 and 6 months respectively. CT increased by an average 55.9%, 75.6% and 107.6% while PCR reduced by 6.9, 8.0 and 8.8 at given intervals. Comparison of open and laparoscopic procedures showed no significant difference. Review of failed pyeloplasty showed failure of reduction in APD (APD > 3cm or < 25% reduction) and PCR (PCR > 4) as early indicators for failure.
Conclusion
Both APD and PCR are reliable indicators of success and failure following pyeloplasty while CT alone is not as useful. Laparoscopic procedures are non-inferior to standard open surgery.
Analyzing the Impact of HSEE, Internet of Things, and Resilience Engineering on Job Satisfaction (Case Study: Tehran Electricity Company)
Authors: Akbari Amir Hossein , Rezaeenour Jalal , Tabassian Mohammad , Jabbari Mehdi
Published: February 2023

Job satisfaction is a significant matter for managers and employees. Job satisfaction denotes the interest of individuals in fulfilling job responsibilities. Job satisfaction in employees increases profitability in the company, loyalty to the company, and work efficiency. Promotion, reciprocal respect, job security, salary, benefits, etc. are some factors increasing job satisfaction in employees. One of the items that affect job satisfaction is the Internet of Things (IoT), which improves the work environment in the organization. Further, resilience engineering (RE) improves the ability of an organization to tackle hazards and threats. In addition to the aforementioned, HSEE has proven significant in organizations and it is beneficial in increasing efficiency. Considering the potential hazards in organizations, focusing on the actions and decisions of employees of organizations is crucial. Therefore, it is essential to analyze health, safety, environment, and ergonomics (HSEE) in the workplace. In this study, a neural network (AI) and an adaptive network-based inference system (ANFIS) have been suggested to analyze the effects of IoT, HSEE, and RE on the job satisfaction of the employees of Tehran Electricity Company. For better training of the recommended networks, a metaheuristic genetic algorithm has been utilized to choose a model with the lowest error. Therefore, a standard questionnaire with IoT, HSEE, and RE as input and job satisfaction as output was prepared. The efficiency of the questionnaire was examined using Cronbach’s alpha. The questionnaire was then distributed among the employees of Tehran Electricity Company. The suggested network was solved in different modes, and the network with the lowest error was selected and combined with metaheuristic algorithms for better training. Lastly, employees with low efficiency were identified, and several solutions were recommended to improve the Maintenance Sector.
Spatial and temporal trends of soil nutrient dynamics under different agroforestry systems in Gangatic plain
Authors: Sarkar Sudip , Das Dipty Kumar
Published: February 2023

The most crucial factor in crop production is soil fertility; thus, it directly influences food security. Therefore, to ensure food security, soil fertility level needs improvement. Though, poor cultivation practices led to soil infertility across the Gangatic region, making even more need to identify and implement sustainable farming practices. In this light, this experiment was undertaken to study the dynamics of soil nutrients in different agroforestry systems (AFS) as a sustainable farming practice concerning seasonal and depth-wise variations. The experiment was conducted in the Samastipur district of India, which comes under the Gangatic plain. Three AFS, including Kadamb (Anthocephalus cadamba Miq.), Simarauba (Simarouba glauca DC), and Litchi (Litchi chinensis Sonn.) based AFS along with one fallow land were taken under investigation. Soil samples were collected from three depths (0-15cm, 15-30cm and 30-45cm) during four seasons (Summer, Autuam, Rainy and Winter). Data revealed that agroforestry development had significantly increased soil nutrients (11-19%) in all seasons and depths. The month of June reported higher availability of nutrients over December. Soil depth had significant influence on soil nutrient availability, irrespective of treatments. The variation of available nutrients among the soil layer was more in agroforestry systems over fallow land. This study will help the researchers to understand the influence of seasons and depths on the movements and transformation of soil nutrients.
Short communication: Unique metabolic signature of proliferative retinopathy in the tear fluid of diabetic patients with comorbidities – Preliminary data for PPPM validation
Authors: Kropp Martina , De Clerck Eline , Vo Trong-Tin Kevin Steve , Thumann Gabriele , Costigliola Vincenzo , Golubnitschaja Olga
Published: February 2023

Type 2 diabetes (T2DM) defined as the adult-onset type that is primarily not insulin-dependent, comprises over 95% of all diabetes mellitus (DM) cases. According to global records, 537 million adults aged 20-79 years are affected by DM; that means 1 out of 15 persons. This number is projected to grow by 51% by the year 2045. One of the most common complications of T2DM is diabetic retinopathy (DR) with an overall prevalence over 30%. With improved screening, the overall part of patients presenting severe vision loss is declining within the DM cohort. Blindness is closely related to proliferative diabetic retinopathy. However, DR is still the leading cause of preventable blindness in working-age adults and the total number of the DR-related visual impairments is on the rise, due to the growing T2DM population. Moreover, PDR with characteristic systemic attributes including mitochondrial impairment, increased cell death and chronic inflammation,is an independent predictor of the cascading DM-complications such as ischemic stroke. Therefore, early DR is a reliable predictor appearing upstream of this “domino effect”. Global screening, leading to timely identification of DM complications, is insufficiently applied by the currently applied reactive medicine as well as lack of resources in certain parts of the world. A personalised predictive approach and cost-effective targeted prevention called PPPM/3P (predictive, preventive and personalised) medicine could make use of the knowledge, preventing blindness and further severe DM complications. In order to reach this goal, reliable biomarkers are needed that are easy to collect and deliver robust data about different stages of DR.
Impact of weight loss on treatment interruption and unplanned hospital admission in head and neck cancer patients undergoing curative (chemo)-radiotherapy in Hong Kong
Authors: CHOI Ying-Chu , Chan Po-Chung , Cheung Kai-Wai , Huang Jia-Jie , Wong Kwok-Leung , Doescher Johannes , Lam Tai-Chung
Published: February 2023

Purpose:
Malnutrition is of high prevalence in head and neck cancer (HNC) patients with weight loss being one of the major nutrition indicators. The objective of this study is to investigate the impact of weight loss on treatment interruptions and unplanned hospital admissions in HNC patients undergoing radiotherapy with or without chemotherapy.
Methods:
In this retrospective cohort study, consecutive HNC patients who started (chemo)radiotherapy between January 2011 and December 2019 were included. Body weight was measured before, during and after RT treatment. Factors associated with ≥ 10% weight loss and treatment interruption and unplanned admissions were analyzed using multivariate logistic regression.
Results:
A total of 1086 subjects with 747(68.8%) nasopharyngeal carcinoma (NPC) and 339(31.2%) non-NPC patients were included. Prevalence of radiotherapy (RT) delay, chemotherapy as planned and cisplatin dose < 200mg/m2 in patients with ≥ 10% vs < 10% weight loss were 6.2% vs 7.0%(p = 0.668), 29.2% vs 31.7%(p = 0.555), 23.8 vs 17.8%(p = 0.127) in NPC patients, and 42.2% vs 50.5%(p = 0.300), 25.6% vs 32.1%(p = 0.464) and 100.0% vs 81.4%(p = 0.245) in non-NPC patients. Prevalence of unplanned admissions in patients with ≥ 10% vs < 10% weight loss was 51.9% vs 25.3% (p < 0.001) in NPC patients and 68.9% vs 27.0% (p < 0.001) in non-NPC patients.
Conclusion:
In our study, ≥ 10% weight loss was found to be associated with a higher rate of unplanned admissions, but not with RT delay or chemotherapy interruption.
Comparison theorems for second order linear and half-linear difference equations
Authors: Shoukaku Yutaka
Published: February 2023

In this paper, discrete comparison theorems of Sturm's type is developed for a pair of second order linear difference equations. In particular, we present here Sturm-Picone type and Leighton type comparison theorems on second order linear difference equations. Our research is motivated by famous book [Swanson] dealing with a similar problem for second order linear differential equations. Furthermore we extend and investigate the more general half-linear difference equation by referring the famous paper [Jaros and Kusano]. Examples are given to illustrate the relevance of the results.
Cognitive Behavioral Therapy-Based Mobile Application for Non-Patients with Irritable Bowel Syndrome in Japan
Authors: Kobayashi Kana , So Yugan , Yamada Tatsuto , Fujii Yasushi
Published: February 2023

We aimed to develop a Cognitive Behavioral Therapy-based (CBT-based) mobile application and evaluate its effectiveness as a potential solution to the lack of specific treatments for non-patients with irritable bowel syndrome (IBS) in Japan. The participants comprised non-patients with IBS, recruited online and randomly assigned to either the treatment (n = 5) or waitlist control (n = 6) condition. The application was used over two months under a therapist’s guidance. The outcome measures were assessed using the following scales at six time points: Gastrointestinal Symptom Rating Scale (GSRS), Irritable Bowel Syndrome-Quality of Life Questionnaire (IBS-QOL-J), Pain Catastrophizing Scale (PCS-J), Cognitive Scale for Functional Bowel Disorders (CS-FBD), Visceral Sensitivity Index (VSI), and Irritable Bowel Syndrome Behavioral Responses Questionnaire (IBS-BRQ). Group differences were evaluated using mixed-factors analysis of variance. The interaction of intervention condition × time was significant for the CS-FBD, VSI, and IBS-BRQ. However, no statistically significant between-group differences were observed for the GSRS, IBS-QOL-J, and PCS-J scores at different time points. While the application improved symptom-specific cognition and behavior, and gastrointestinal-specific anxiety, it was not effective in improving IBS symptoms and quality of life. There is a need to refine the implementation of behavioral techniques and adjust the pace of application use according to each patient's understanding and symptoms.
Research on Altitude Table Data Visualization and Data Flow Migration Technology Based on Multi-framework Integration
Authors: Zhou Qifan , Guo Ying qing , Zhao Wanli , Wang Kun , Xu Kejie , Tao Xinxin , Dong Yunhui
Published: February 2023

As an important method for the aero-engine performance testing, the data in the process of aero-engine -altitude simulation test is extremely valuable and essential. To display the data more intuitively and to explore its deeper meanings and potential value, the development of the real-time migration and visualization technology of the data flow generated from the aero-engine-altitude simulation test-bed basing on multi-framework integration is proposed. Firstly, with the Mybatis-Plus automatic view layer, data stored in the bottom historical database can be visualized in the browser's table structure space. Then, data flow technology migration, referring to the JDBC interface based on GateWay's current limiting mechanism and integrates multi-thread parallel transport flows using Mybatis' load balancing mechanism. Therefore, the essential information in historical database for subsequent algorithm analysis can be synchronized to local database. Finally, with Vue framework, data flow front-end monitoring interface verifies data visualization, integrity, and effectiveness in real-time.
Assimilation model of Erosion and Soil Moisture Based on Remote sensing for Hydraulic and Hydrologic Integration of Taleghan Watershed
Authors: Ahmadi Hasan , ghermezcheshmeh bagher , Razavi Erfan
Published: February 2023

Data accessibility and the ability to evaluate data and solve hydrological, water and soil problems is considered as a fundamental limitation in the country and has been examined as a challenge in this research. In the first part of this research, the modeling of Taleghan watershed in SWAT and GIS software has been discussed, and according to the dynamics of the sub-basins, they have been investigated separately and in the form of dynamic communication. major parameters such as sedimentation, erosion, soil moisture, the type of formation and soil of the region, as well as the hydrological response of the soil, etc. have been modeled and evaluated. Before calibrating, the basin's balance and, in addition to that, formations, soil, and the influence of soil moisture and Curve number have been investigated. After hydrological cycle investigations, calibration has been done in the form of algorithm SUFI2. The precise delineation of the basin and sub-basin made it possible to show the desired and conceptual communication model with high precision in the integration communication. The erosion potential of the basin was investigated in detail and its integrated map was extracted and descriptive scenarios were proposed for it. The final part of this research focuses on the integration after the calibration of the area where the influence of sensitive parameters was determined and the integration of runoff, erosion and sedimentation, soil moisture, etc. was done. Therefore, the developed model of this research can be used as a practical and promotional model to predict productivity and integration in other susceptible areas with similar climatic characters.
Does digital economy successfully drive down the energy intensity? Low-carbon technology innovation perspective
Authors: Hou Jian , Wang Huiyu , Tian Tian , Zhang Sidan
Published: February 2023

Reducing energy intensity has consistently been advocated by the Chinese government in its effort to achieve the carbon peak targets, especially when the emerging economy grows and technology breakthrough happens frequently. In this study, we systematically evaluate China's digital economy based on regional data experience and construct a nonlinear dynamic threshold model to incorporate a heterogeneous threshold of low-carbon technology innovation into the influential mechanism to figure out whether the digital economy can effectively reduce regional energy intensity. It is found that China's digital economy currently shows a trend of overall upward and local fluctuation, and there is a large “gap” between the rich and the poor. Interestingly, there is a significant heterogeneous threshold effect of low-carbon technology innovation on the role of digital economy development in energy intensity: a low level of green technology innovation is not conducive to promoting the development of digital economy to reduce energy intensity, and when the level of green technology innovation increases and exceeds the "critical value", it effectively enhances the impact of digital economy development to a certain extent, thereby promoting the reduction of energy intensity, that is, there is an inverted U-shaped relationship between the development of digital economy and energy intensity. The research answers the question of how to effectively use low-carbon technology innovation to achieve digital economy development and help reduce regional energy intensity, and provides an effective reference for accelerating the green and high-quality development of the economy.
High salt-induced PSI-supercomplex is associated with high CEF and attenuation of state-transitions
Authors: Kalra Isha , Wang Xin , Zhang Ru , Morgan-Kiss Rachael
Published: February 2023

While PSI-driven cyclic electron flow (CEF) and assembly of thylakoid supercomplexes have been described in model organisms like Chlamydomonas reinhardtii, open questions remain regarding their contributions to survival under long term stress. The Antarctic halophyte, C. priscuii UWO241 (UWO241), possesses constitutive high CEF rates and a stable PSI-supercomplex as a consequence of adaptation to permanent low temperatures and high salinity. To understand whether CEF represents a common strategy in long-term stress acclimation, we compared high salt acclimation in the halotolerant UWO241 with a salt-sensitive model, C. reinhardtii, as well as a moderately halotolerant Antarctic green alga, C. sp. ICE-MDV (ICE-MDV). CEF was activated under high salt and associated with increased non-photochemical quenching in C. reinhardtii and ICE-MDV. Furthermore, high salt acclimated cells of either strain formed a PSI-supercomplex, while state transition capacity was attenuated. How the CEF-associated PSI-supercomplex interferes with state transition response is not yet known. We present a model for interaction between PSI-supercomplex formation, state transitions and the essential role of CEF for survival during long-term exposure to high salt.
Estimating A Model of Inefficient Cooperation and Consumption in Collective Households
Authors: Lewbel Arthur , Pendakur Krishna
Published: February 2023

Lewbel and Pendakur (2021) propose a model of consumption inefficiency in collective households, based on “cooperation factors”. We simplify that model to make it empirically tractable, and apply it to identify and estimate household member resource shares, and to measure the dollar cost of inefficient levels of cooperation. Using data from Bangladesh, we find that increased cooperation among household members yields the equivalent of a 13% gain in total expenditures, with most of the benefit of this gain going towards men.
JEL codes: D13, D11, D12, C31, I32.
Insights into the Riemann Zeta Function
Authors: Arwashan Naji
Published: February 2023

In this paper we focus our attention on the zeta series ζ (s) = Σ∞n=1 1/ns in the domain of 0 < σ < 1 Even though the series is divergent in that domain, but we will find that its divergence will satisfy an asymptotic equation that involves the values of the zeta function in that same domain. Applying that equation to the critical line will lead us to a function that calculates the value of a convergent series of cosine waves; and interestingly we will find that the finite sum of that series is a combined wave that reorganizes the location of the nontrivial zeros of the Riemann zeta function on the critical line.
MSC code 11E45
Activation of Ca transport in cardiac microsomes enriches functional sets of ER and SR proteins
Authors: Cala Steven E. , Carruthers Nicholas J. , Stemmer Paul M. , Chen Zhenhui , Chen Xuequn
Published: February 2023

The importance of sarcoplasmic reticulum (SR) Ca-handling in heart has led to detailed understanding of Ca-release and re-uptake protein complexes, while less is known about other endoplasmic reticulum (ER) functions in the heart. To more fully understand cardiac SR and ER functions, we analyzed cardiac microsomes based on their increased density through the actions of the SR Ca-ATPase (SERCA) and the ryanodine receptor that are highly active in cardiomyocytes. Crude cardiac microsomal vesicles loaded with Ca oxalate produced two higher density subfractions, MedSR and HighSR. Analyses of protein enrichments from the 3 membrane preparations (crude microsomes, MedSR, and HighSR), showed that only a third of microsomal proteins in heart, or 354 proteins, were enriched ≥2.0-fold in SR. Previously studied SR proteins were all enriched, as were proteins associated with canonical ER functions. Contractile, mitochondrial, and sarcolemmal proteins were not enriched. Comparing the levels of SERCA-positive SR proteins in MedSR versus HighSR vesicles produced a range of SR subfraction enrichments signifying differing levels of Ca leak (ryanodine receptor) co-localized in the same membrane patch. All known junctional SR proteins were more enriched in MedSR, while canonical ER proteins were more enriched in HighSR membrane. Proteins from other putative ER/SR subdomains also showed characteristic distributions among SR subpopulations. We conclude that active Ca loading of cardiac microsomes, reflecting the combined activities of Ca uptake by SERCA, and Ca leak by RyR, permits evaluation of multiple functional ER/SR subdomains. Sets of proteins from these subdomains exhibited similar enrichment patterns across membrane subfractions, reflecting the relative levels of SERCA and RyR present within individual patches of cardiac ER and SR.
Synthesis and antimicrobial/antioxidant evaluation of novel pyrimidine-based derivatives with pendant pyrazoles using vinamidinum salts
Authors: Maghamifar Roya , Sheikhi-Mohammareh Seddigheh , Shiri Ali , Beyzaei Hamid , Ebrahimnezhad Zahra
Published: February 2023

Synthesis of a variety of 5-bromo-4-methyl-2-substituted pyrimidines endowed with pyrazolyl appended in C4 position is described via treatment of 5-bromo-4-hydrazineyl-6-methyl-2-substituted pyrimidines (6a–f) and vinamidinum salt of (E)-N-(3-(dimethylamino)-2-phenylallylidene)-N-methylmethanaminium perchlorate (5) in good to excellent yields. The inhibitory and hydrogen-atom donating abilities of the synthesized products were assessed against nine pathogens including six bacterial strains (both Gram-negative and Gram-positive), three fungal strains and DPPH free radicals. Notable antioxidant properties were not observed with the products. The inhibition zone diameters were determined in the range of 10.51–18.44 mm via Kirby-Bauer disk diffusion method. 5-Bromo-4-methyl-6-pyrazolylpyrimidine (7e) containing 2-(4-methylpiperazin) substituent showed the best antioxidant and antimicrobial effects. It was effective on all the tested microbial strains except Staphylococcus epidermidis. All the synthesized pyrazolyl pyrimidines, especially (7e) can be used to disinfect the environment and treat infectious diseases.
A comprehensive dynamic source model of shallow very low-frequency earthquakes
Authors: Wei Xueting , Liu Yuxiang , Xu Jiankuan , Chen Xiaofei
Published: February 2023

Very low-frequency earthquakes, which exhibit longer source durations and smaller stress drops than regular earthquakes of similar magnitude, possess abundant low-frequency energy but are depleted in high-frequency energy. The source processes that govern the occurrence of very low-frequency earthquakes remain unclear. Here, we implement a unified dynamic source model to illustrate the source characteristics of very low-frequency earthquakes. By comparing the source parameters of observed shallow very low-frequency earthquakes with those of numerically simulated ruptures, we conclude that very low-frequency earthquakes are slow self-arresting earthquakes that self-terminate within the nucleation patch. In addition, a composite slow self-arresting model is adopted to reproduce the source processes of VLF and LFE in Nankai area. Comparison of synthetic seismograms obtained from the composite model with the Nankai VLFs shows that slow self-arresting ruptures have the potential to explain different types of slow earthquakes. Our results indicate that very low-frequency earthquakes, low-frequency earthquakes and regular earthquakes can be explained uniformly in the same dynamic rupture phase diagram.
An optimized resource scheduling algorithm based on GA and ACO algorithm
Authors: Yin Chao , Li Hongyi , Peng Yingjian , Fang Qin , Xu Xiaogang , Dan Tang
Published: February 2023

With the development of Internet of things (IoT) technology, fog computing has gradually come into people’s vision because of the characteristics of real-time and low delay. Providing computing and storage services at the edge of the network, fog computing can meet the needs of users in delay-sensitive applications as a highly virtualized platform. Resource scheduling plays an important role in fog computing, because it can meet the requirements of customers and improve the quality of service. However, if largescale service requests can not solve the resource scheduling problem effectively, it will reduce resource utilization and user satisfaction. Focus on the above problem, we establish a resource scheduling model named normalization processing, which can achieve the goal of the lowest total cost by finding the optimal pheromone. The optimal resource scheduling results can be obtained by changing the pheromone concentration of ants during the simulated foraging process. At the same time, we propose a new resource scheduling algorithm named new genetic ant colony optimization (NGACO) algorithm, which can update pheromone generation by roulette algorithm. The experimental results show that the resource scheduling performance of NGACO algorithm is 14.7%, 25%, 12.8% lower than that of ACO algorithm in makespan, economic cost, total cost respectively, and load balancing is 34.7% higher than ACO algorithm.
Role of mir-554 and mir-313 in Trigger and Develop Non-small Cell Lung Cancer
Authors: Afshinpour Maral , Salimi Alireza , Salarinia Reza
Published: February 2023

Background: Lung cancer is known as one of the most common cancers worldwide. Non-small cell lung cancer (NSCLC) is found in 85% of cases of lung cancer. In this study, we tried to identify genes that can be used to prevent cancer from progressing by inhibiting their expression by microRNAs. These genes can be targeted as a treatment.
Objectives: identifing the dysregulated genes in lung adenocarcinoma based on gene expression profiles of LUAD and non-tumor lung.
Method: In this study, using the data obtained from the article, 37 genes were finally reached with the Venny 2.1 database. We then analyzed the genes involved in lung cancer, using databases such as DAVID, PANTHER, and ENRICHER.
Results: Our work provides insight into PDGFRA, LAMC1, and MAP3K8 have critical roles in important pathways and biological processes which can develop cancer such as; angiogenesis, integrin signaling pathway, and development process. for the first time, mir-554 and mir-313 plays a critical role by inhibiting the proto- oncogene genes map3k8, PDGFR and lamc1.
Does ownership structure affect the ex-ante cost of capital?
Authors: P Chacko Jains , Padmakumari Lakshmi
Published: February 2023

The literature on ownership structure in Indian firms does not clearly show how various large shareholdings connected to controlling agency conflicts affect a firm’s outcome. Evidence suggests that large shareholders are in a stronger position to keep a firm’s management more responsible than its dispersed shareholders, thereby positively affecting the firm’s outcome. This research gap has sparked interest in examining the relationship between three large holdings – corporate, institutional, and foreign holdings – and expected returns measured using an ex-ante cost of capital approach in Indian listed firms between 2016 and 2021. The study used a pooled OLS technique to estimate the baseline results and a two-step system GMM technique to validate the baseline results. The results indicate that corporate holdings and expected returns have an inverted U-shaped relationship, institutional holdings and expected returns have a U-shaped relationship, and foreign holdings and expected returns have a U-shaped relationship. The results also reveal that while the threshold for each firm and industry can be different, on average, corporate holdings above 34.3%, institutional holdings below 14.15%, and foreign holdings below 49.80% negatively affect expected returns. The findings suggest that an optimal mix of large shareholders can reduce the risk of any group exerting excessive control over a company and provide benefits in terms of efficient monitoring. Expropriation of minority shareholders can occur in developing countries with weak legal protections. However, this study suggests that large shareholders can mitigate this issue by acting as a check on managerial agency problems, thereby increasing a firm’s efficiency.
Wavelet-based de-noising in groundwater quality and quantity prediction by an artificial neural network
Authors: Vousoughi Farnaz Daneshvar
Published: February 2023

The present study uses a wavelet-based clustering technique to identify spatially homogeneous clusters of groundwater quantity and quality data and to select the most effective input data for the feed-forward neural network (FFNN) model to predict the groundwater level (GL), pH and HCO3− in groundwater. In the second stage of this methodology, first, GL, pH and HCO3− time series of different piezometers were de-noised using a threshold-based wavelet method and the impact of de-noised and noisy data were compared in temporal GL, pH and HCO3− modeling by the artificial neural network (ANN). The results suggest that the proposed model decreases the dimensionality of the input layer and consequently the complexity of the FFNN model with acceptable efficiency in the spatiotemporal simulation of GL and groundwater quality parameters. Also, the application of wavelet-based de-noising for modeling GL, pH and HCO3− parameters with ANN increases the accuracy of predictions, respectively, up to 11.53, 11.94 and 38.85% on average.
Photocatalytic treatment of organoselenium in synthetic mine-impacted effluents
Authors: Martin Jeffrey Thomas , Chai Tia , Leshuk Timothy Michael Carter , Young Zachary William , Gu Frank
Published: February 2023

Biological selenium reduction processes are commonly employed as the best available technology (BAT) for selenium removal; however, as a by-product they produce trace amounts of organoselenium compounds with orders of magnitude greater bioaccumulation potential and toxicity. Here, we assessed buoyant photocatalysts (BPCs) as a potential passive advanced oxidation process (P-AOP) for organoselenium treatment. Using a synthetic mine-impacted water solution, spiked with selenomethionine (96 μg/L) as a representative organoselenium compound, photocatalysis with BPCs fully eliminated selenomethionine to <0.01 μg/L with conversion to selenite and selenate. A theoretical reaction pathway was inferred, and a kinetics model developed to describe the treatment trends and intermediates. Given the known toxic responses of Lepomis macrochirus and Daphnia magna to organoselenium, it was estimated that photocatalysis could effectively eliminate organoselenium acute toxicity within a UV dose of 8 kJ/L (1–2 days solar equivalent exposure), by transformation of selenomethionine to less hazardous oxidized Se species. Solar photocatalysis may therefore be a promising passive treatment technology for selenium-impacted mine water management.
A Review on Shikonin and its Derivatives as Potent Anticancer
Agents Targeted against Topoisomerases
Authors: Olatunde Olagoke Zacchaeus , Yong Jianping , Lu Canzhong , Ming Yanlin
Published: February 2023

The topoisomerases (TOPO) play indispensable roles in DNA metabolism, by
regulating the topological state of DNA. Topoisomerase I and II are the well-established
drug-targets for the development of anticancer agents and antibiotics. These drugs-targeting
enzymes have been used to establish the relationship between drug-stimulated DNA
cleavable complex formation and cytotoxicity. Some anticancer drugs (such as camptothecin,
anthracyclines, mitoxantrone) are also widely used as Topo I and Topo II inhibitors,
but the poor water solubility, myeloma suppression, dose-dependent cardiotoxicity,
and multidrug resistance (MDR) limited their prolong use as therapeutics. Also, most of
these agents displayed selective inhibition only against Topo I or II. In recent years, researchers
focus on the design and synthesis of the dual Topo I and II inhibitors, or the discovery
of the dual Topo I and II inhibitors from natural products. Shikonin (a natural
compound with anthraquinone skeleton, isolated from the roots of Lithospermum erythrorhizon)
has drawn much attention due to its wide spectrum of anticancer activities, especially
due to its dual Topo inhibitive performance, and without the adverse side effects,
and different kinds of shikonin derivatives have been synthesized as TOPO inhibitors
for the development of anticancer agents. In this review, the progress of the shikonin
and its derivatives together with their anticancer activities, anticancer mechanism, and
their structure-activity relationship (SAR) was comprehensively summarized by searching
the CNKI, PubMed, Web of Science, Scopus, and Google Scholar databases.
New Concepts in the Manipulation of the Aging Process
Authors: Hollands Peter , Ovokaitys Todd
Published: February 2023

This review explores the current concepts in aging and then goes on to describe a novel,
ground-breaking technology which will change the way we think about and manage aging. The foundation
of the review is based on the work carried out on the QiLaser activation of human Very Small Embryonic
Like (hVSEL) pluripotent stem cells in autologous Platelet Rich Plasma (PRP), known as the
Qigeneration Procedure. The application of this technology in anti-aging technology is discussed with an
emphasis on epigenetic changes during aging focusing on DNA methylation.
What have we learned and how is EU trade policy to cope with new challenges?
Authors: Bongardt Annnette , Torres Francisco
Published: February 2023

The EU is in a prime position in trade but faces an onslaught of challenges where a weakened open trading order, recent shocks with impacts on the international economic system (the Covid-19 pandemic, the Ukraine war, climate change), geopolitics and changing globalization patterns combine. This article (and special issue) takes stock of what we have learned and summarizes how EU trade policy copes with new challenges. It brings together the different perspectives on global cooperation and trade, deep trade agreements, EU deep trade agreements and the lessons from CETA, the EU’s Trade and Sustainability Chapters, and the European (economic, social, environmental) model.
Using Music to Manage Anxiety: A Mixed Methods Intervention Study Between Two Lockdowns
Authors: McFerran Katrina , Cheong-Clinch Carmen , Bibb Jennifer , Chin TanChyuan
Published: February 2023

Lockdowns were a central strategy for managing the outbreak of COVID-19, and Melbourne, Australia had some of the most extensive restrictions globally during 2021. As a result, university students were faced with isolated living and challenging learning experiences. This pilot study occurred during 2021, close to both university assignment due dates and end of semester examinations and some of the longest lockdowns. Seventy-one participants responded to recruitment materials describing using music playlists to manage anxiety and avoid negative thinking patterns during stressful times. They then participated in a 1-hour live, virtual workshop incorporating didactic teaching and practice activities. Pre and post measures of musical engagement, wellbeing and anxiety were used, with additional qualitative data collected at post regarding the workshop, application of ideas, and quantitative data measuring uses of music for emotion regulation. Analysis of quantitative data did not reveal significant findings, but convergent analysis suggested patterns linking degree of anxiety with changed uses of music for regulation for some individuals. Participants described more intentional and informed uses of music that were less repetitive and more targeted. This was particularly apparent when rumination appeared to be prominent. Based on the results, the intervention seems most helpful as a psycho-educational tool, but the 1-hour workshop did not result in measurable changes for highly anxious participants.
Measuring family functioning: validation and adaptation of the family APGAR into Indonesian
Authors: Ridwan Edi Sampurno , Sarwadhamana Raden Jaka , Rofiyati Winda
Published: February 2023

Background: Family function is an important part of family caring particularly for those with aged people in the household. Understanding family functioning is imperative. A valid and reliable tool for measuring the family functioning of Indonesian family caregivers is limited.

Objectives: This study aimed to examine cross-cultural adaptation, validity, and reliability of the Indonesian version of the family APGAR.   

Methods: A cross-sectional design was performed as a part of a study measuring subjective family readiness for long-term care at home. A total of 125 family caregivers who were caring for older family members completed face-to-face interviews. A five-items of the family APGAR were translated, validated, and tested its reliability using standardized methods. The correlation matrix was performed to identify item correlations prior to the validation process. Hypothesis testing used a significance value of P = < 0.05 with a confidence interval (CI = 95%). The statistical test was performed using STATA14 statistical software.

Results: In 125 respondents with a mean age of 52.60 years (CI = 12. 29) were interviewed. The respondents were mostly female 84 (62.20%), employed (85/68.00%). Item test correlation was ranging from 0.77 to 0.90 and the average item correlation was 0.61. Pearson coefficients were presented. The coefficient of scale reliability was Cronbach alpha 0.89.

Conclusions: The Indonesian version of the family APGAR was a valid and reliable tool used for measuring family functioning among Indonesian. Further study on the use of the instrument in different settings and community characteristics was suggested using categorical level from previously measured. 
The Impact of New Media on Tourism: A Study on West Bengal
Authors: Banerjee Sraya , Sadhukhan Priyanka
Published: February 2023

This research report consists of informative data on tourism and the approach of new media in the tourism industry. The adaptation to new changes towards technology is a dynamic change. In this research proposal, there is a brief discussion on West Bengal tourism and some of the offbeat places in North Bengal. In the tourism industry, social media plays a significant role in communicating with tourists and guides. This research paper talks about tourism in West Bengal. This research paper initiated to discuss all the repercussions and growths of social media referred to tourism. Therefore, the role of social media platforms has a great impact on the tourism industry.
Reconstructed Learning Activity Sheets (LAS): Its Effect on Students’ Performance in Mathematics
Authors: A. Hofileña Eliafie , D. Bearneza Francis Jose
Published: February 2023

New normal education changes the usual setup of the teaching-learning process between the students and the teacher. Reconstructed Learning Activity Sheets (LAS): Their Effects on Students' Performance in Mathematics. The study tries to find the gap in the students' problems when answering their activities in the modules. The respondents of this study are the Grade 7 - Sampaguita students of Calatrava National High School enrolled during the School Year 2021 – 2022. The students were grouped by controlled and experimental through simple random sampling, in which each group was composed of 22 students. Utilizing Posttest Only Control Group Design in the whole duration of the third quarter for the School Year 2021 – 2022, wherein the students in the control group were given the Learning Activity sheets from the DepEd while the experimental group Reconstructed Learning Activity Sheets. The basis of the student’s performance in this study is the Third quarter grade of the students comprising the development in their Summative Test and Performance Task. The result shows that students in the experimental group obtained a higher mean value than the control group. Based on the results, there was a significant difference in students' level of performance in Mathematics in the control group and experimental group. The study signified that Reconstructed Learning Activity Sheets (LAS) comprising activities with Interleaved Approach could increase students' performance.