bluuebunny/crossref_metadata_2025_split huggingface dataset:
ECONOMIC-FISHING ANALYSIS OF THE PRAWN <i>Cryphiops caementarius</i> (MOLINA, 1782) IN THE MAJES-CAMANÁ RIVER AREQUIPA-PERí­Å¡ (2019)
Authors: PINAZO Beltran Kristhian Franchesco Paul , BERRÚ Beltran Jesús Miguel Angel , BOCARDO Delgado Edwin Fredy 
Published: August 2021

The prawn (Cryphiops caementarius) is the only resource in the Peruvian coastal rivers that supports a commercial fishery. Bioeconomic-fishing aspects are reported based on data (fishing, costs and income derived from fishing) acquired in situ monthly in four altitudinal strata (every 200 meters above sea level - masl) of the Majes-Camaná river during 2019. The catch per unit of effort (CPUE) was expressed in kg h-1, monthly income was estimated based on the average catch values, number of tasks and price of the resource. To evaluate the profitability of the activity of an average fisherman (by stratum), a cash flow based on income and expenses was executed under situations with a constant future, using economic profitability indicators such as the Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost ratio (B/C) and Discounted Payback Period (DPB). There was a predominance of the diving method, the catches (kg) and the fishing yield increased throughout the fishing period (April-December) with a maximum value of 4.8 kg h-1 (December - high strata). Investment costs per fisherman were low, roughly 1,000 soles. The sale price increases with altitude, decreasing over the course of the year depending on the availability of the resource; the monthly income per fisherman varied from 964 soles (April - low stratum) to 6,760 soles (December - high stratum). The economic simulation model showed that the income exceeded the costs of the fishing activity from the first year of activity in all the altitudinal strata, the economic profitability indicators showed high profitability for the activity.
The most balance composition of calcium-phosphorus in the feed to support growth performance and tibia profile of broiler chicken strain CP 707
Authors: Lisnahan Charles Venirius , Nubatonis Afred 
Published: August 2021

<p class="MDPI17abstract"><strong>Objective: </strong>Calcium and phosphorus are macrominerals that are needed for metabolism and mineralization of chicken bones. This study aims to determine the growth performance and tibial profile of broiler chicken strain CP 707 which are fed by using different calcium-phosphorus balance compositions.</p><p class="MDPI17abstract"><strong>Methods: </strong>This research was conducted in Kefamenanu, the East Nusa Tenggara for 42 days. A total of 96 day old chicks were used in this study. Chickens were allocated in 16 units of cages, based on a completely randomized design consisting of 4 treatments and 4 replications. The treatments given were T0 (control feed without calcium-phosphorus supplementation), T1 (control feed + 1.0% calcium + 0.5% phosphorus), T2 (control feed + 1.5% calcium + 0.5% phosphorus) and T3 (control feed + 2.0% calcium + 0.5% phosphorus).<strong></strong></p><p class="MDPI17abstract"><strong>Results</strong><strong>: </strong>The findings showed that the calcium-phosphorus ratio affected weight gain, feed conversion, carcass weight, tibial bone weight, tibial bone dry weight and tibial bone ash content (P&lt;0.05), while feed consumption and tibial bone length were not significant. The highest body weight was in T3 (2142.25±31.84 g/bird) with a weight gain of 62.41±2.20 g/bird/day. The best feed conversions at T2 and T3 were 1.94±0.33 and 1.85±0.70. The highest carcass weight at T3 was 1354.45±39.12 g/bird with a carcass percentage of 63.20±0.32%. The highest tibial weight at T2 and T3 were 18.57±0.73 and 19.43±0.66 g/bird with dry weight of 40.61±0.75 and 41.42±1.33%. The highest tibial bone ash content was at T3, namely 44.72±0.91%.<strong></strong></p><strong>Conclusions: </strong>The conclusion of this study is that the balance of 2.0% calcium and 0.5% phosphorus provides optimal growth performance and tibial profile.<p align="center"> </p>
A New Approach to Reduce the Carbon Footprint in Resistance Spot Welding by Energy Efficiency Evaluation.
Authors: Cunha Carla Ferreira Andrade , Gomes Jefferson de Oliveira , de Carvalho Hugo Marcelo Bezerra 
Published: August 2021

Abstract
Actions aiming to reduce energy consumption directly contribute to the reduction of manufacturing costs and carbon footprint while supporting manufacturing processes’ productivity. Resistance spot welding is relevant in the automotive sector. Due to its operational characteristics, this process has high energy consumption. Despite this fact, few studies have found to guide solutions for its reduction. In this sense, this study proposes a method to improve the resistance spot welding process’s energy performance without compromising its quality. This study applies statistical analysis (ANOVA) to support predictive models that characterize energy and quality performance. The statistical analyses confirmed and quantified the influence of the control factors in energy and quality performance indicators. The predictive models made it possible to anticipate energy consumption and quality behaviour from adjustments in the welding line process parameters studied in this paper. To fit the best compromise between energy consumption and quality, energy labels to classify the process’s energy performance were proposed. The best compromise solution for the studied process parameter ranges in this work was: \({C}_{wel}\): 8 kA, \({T}_{wel}\): 8 cycles and \({F}_{ele}\): 343 kgf. This parameter combination results in a consumption of approximately 2 Wh per spot weld. Approximately 33% less than the average estimated consumption per spot weld in the automotive industry.
Identification of Potential Biomarkers Associated With Immune Infiltration in Papillary Renal Cell Carcinoma
Authors: Deng Ran , Li Jianpeng , Zhao Hong , Zou Zhirui , Man Jiangwei , Cao Jinlong , Yang Li 
Published: August 2021

Abstract
Background: Immunotherapeutic approaches have recently emerged as effective treatment regimens against various types of cancer. However, the immune-mediated mechanisms surrounding papillary renal cell carcinoma (pRCC) remain unclear. This study aimed to investigate the tumor microenvironment (TME) and identify the potential immune-related biomarkers for pRCC.Methods: The CIBERSORT algorithm was used to calculate the abundance ratio of immune cells in each pRCC sample downloaded from the database UCSC Xena. Univariate Cox analysis was used to select the prognostic-related tumor-infiltrating immune cells (TIICs). Multivariate Cox regression analysis was performed to develop a signature based on the selected prognostic-related TIICs. Then, these pRCC samples were divided into low- and high-risk groups according to the obtained signature. Analyses using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were performed to investigate the biological function of the DEGs (differentially expressed genes) between the high- and low-risk groups. The hub genes were identified using a Weighted Gene Co-Expression Network Analysis (WGCNA) and a Protein-Protein Interaction (PPI) analysis. The hub genes were subsequently validated using Kaplan-Meier survival analysis, Receiver Operating Characteristic (ROC) analysis, a nomogram prediction model, and via the Gene Expression Omnibus (GEO) database, and the Human Protein Atlas (HPA) database. Finally, we validated the correlation between the nine hub genes and immune cells using the XCELL algorithm.Results: According to our analyses, nine immune cells play a vital role in the TME of pRCC. Our analyses also obtained nine potential immune-related biomarkers for pRCC, including TOP2A, BUB1B, BUB1, TPX2, PBK, CEP55, ASPM, RRM2, and CENPF.Conclusion: In this study, our data revealed the crucial TIICs and potential immune-related biomarkers for pRCC and provided compelling insights into the pathogenesis and potential therapeutic targets for pRCC.
Data Mining and Machine Learning Approaches in Designing Optimum Drug Delivery Systems: A Prototype Study of Niosomes
Authors: Shahiwala Aliasgar , Faruqui Nuruzzaman , Qawoogha Samar Salam 
Published: August 2021

Abstract
This study aims to model the prediction of two clinically relevant properties of drug delivery systems specifically for niosomes, i.e., particle size and drug entrapment efficiency (EE%) using a combined approach of data mining, artificial neural networks (ANN), and design of experiments (DoE). Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system was adopted to screen published literature on niosomes that resulted in 17 articles with 114 formulations. Eleven properties (input parameters) related to drugs and niosomes affecting particle size and drug entrapment (EE%) (output variables) were precisely identified and used for the network training. The network architecture consists of 5 fully connected hidden layers with eleven hidden nodes in each layer, input layer has eleven nodes where each of these nodes maintains omnidirectional injective relation with the corresponding hidden node. The hyperbolic tangent sigmoid transfer function (HTSTF) with Levenberg-Marquardt backpropagation (LMB) was used to train the model. The network showed the highest prediction accuracy of 93.76% and 91.79% for EE% and particle size prediction. Sensitivity analysis identified drug/lipid ratio and Cholesterol/Surfactant ratio as the most significant factors affecting EE% and particle size of niosomes. Accordingly, nine Donepezil hydrochloride (DNPZ) noisome batches were prepared using a 3x3 factorial design with drug/lipid ratio and cholesterol/surfactant ratio as factors to validate the developed model for a new drug. The model was able to reach a prediction accuracy of more than 97% for experimental batches. Finally, the superiority of global ANN was demonstrated compared to the local RSM model for DNPZ niosome formulations. In conclusion, this study has demonstrated the use of the data mining approach to group published scattered information and formulate a data set to train the ANN that can help to design an optimum formulation and processing parameters for a clinically viable medicine with minimum time, cost, and efforts. However, the key challenge in forming an efficient ANN lies in having a suitable large data set and using the correct algorithm for the network.
Impact of Neoadjuvant Chemotherapy on Somatic Mutation Status in High-grade Serous Ovarian Carcinoma
Authors: Marchocki Zibi , Tone Alicia , Virtanen Carl , de Borja Richard , Clarke Blaise , Brown Theodore , May Taymaa 
Published: August 2021

Abstract
BACKGROUND: Patients treated with neoadjuvant chemotherapy (NACT) for advanced high-grade serous ovarian carcinoma (HGSC) have a higher rate and shorter time to platinum-resistant recurrence compared to patients treated with primary cytoreductive surgery (PCS) and adjuvant chemotherapy. The purpose of this study is to determine the impact of NACT on somatic mutation status in platinum-sensitive and resistant HGSC. Patients with advanced HGSC who had a documented response to platinum-based NACT, a banked blood sample, and a banked tumor sample before and after NACT were identified. Whole exome and/or targeted deep sequencing was performed in matched normal and pre/post-NACT tumor samples from 3 platinum-resistant and 2 platinum-sensitive patients to identify somatic non-synonymous mutations at each time point.RESULTS: When comparing exonic non-synonymous mutations in pre-NACT and post-NACT samples from the same patient, an average of 41% (1-68%) of genes were mutated at both time points. There were no trends detected in the mutational burden following exposure to NACT in platinum-resistant vs. platinum-sensitive cases. The majority of mutated genes were unique to each case. We identified several genes that were commonly mutated in pre-NACT samples specific to platinum-resistant (CSPG4, SLC35G5, TUBA3D) or sensitive (CYP2D6, NUTM1, DNAH5) cases. Four mutated genes emerged exclusively in the platinum-resistant cases (ADGRV1, MUC17, MUC20, PAK2) following NACT.CONCLUSIONS: Patients with advanced HGSC present with significant intra-tumor heterogeneity. NACT significantly impacts the somatic mutation status irrespective of the time to recurrence. The mutated genes detected in chemo-naive pre-NACT tumor samples from either resistant or sensitive cases could potentially have a role in the prediction of chemotherapy response in patients scheduled to receive NACT; larger studies are required to further validate these genes.
Curcumae Radix Extract Reduces Beta-Amyloid (Αβ) and Tau Protein Through Increased Mitochondrial Respiration
Authors: Jo Seong lae , Yang Hyun , Heo Jun H. , Lee Sang R. , Lee Hye Won , Hong Eui-Ju 
Published: August 2021

Abstract
Background: Neurodegenerative diseases are increasingly being studied owing to the increasing proportion of the aging population. Several potential compounds have been studied to prevent neurodegenerative diseases, one of which is Curcumae Radix that is known to be beneficial for inflammatory conditions, metabolic syndrome, and various types of pain. However, it is not well studied and its influence on energy metabolism in neurodegenerative diseases is unclear. We focused on the relationship between neurodegenerative diseases and energy metabolism through Curcumae Radix extract in an animal model. Methods: Mice were treated with Curcumae Radix extract for 5 weeks orally 5 times in a week (50 mg/kg body weight). Murine delayed brain tumor (DBT) cells were supplemented with Curcumae Radix extract. We monitored the neurodegenerative makers and metabolic indicators using Western blotting and qRT-PCR and then assessed the cellular glycolysis and mitochondrial respiration through metabolic flux assay.Results: Low expression levels of Alzheimer’s disease-related markers were observed after treatment with Curcumae Radix extract. It was determined through the pAMPK/AMPK ratio that the ATP state was sufficient in the cerebrum and brain tumor cells. With this, an increase in glycolysis would be expected as glucose is the main energy source of the brain. However, glycolysis-related genes and the extracellular acidification rate showed that glycolysis decreased. Despite this, basal respiration and ATP production through mitochondrial respiration and increased TCA cycle and OXPHOS-related genes were observed in the Curcumae Radix group. Conclusions: In neurodegenerative diseases involving mitochondrial dysfunction, Curcumae Radix may act as a metabolic modulator of brain health to treat and prevent these diseases.
The Impact of CYP3A5, CYP1A1, GSTM1, GSTT1, GSTP1 and TPMT Gene Polymorphisms on the Risk of Chronic Myeloid Leukemia
Authors: Kaishiv Joshi  , Shruti Caplash  , Dr. Satbir Kaur  
Published: August 2021

Polymorphisms in the genes encoding drug metabolising enzymes (DME) cause inter-individual variations in metabolising exogenous and endogenous substances, which has been related to the risk of various diseases. The present study was conducted to investigate the association of CYP1A1, GSTM1, GSTT1, GSTP1 and CYP3A5 and TPMT gene polymorphisms with susceptibility to chronic myeloid leukemia (CML). 89 samples of CML patients and 135 control samples were included in this study. Genotyping of CYP1A1, GSTM1, GSTT1, GSTP1 and CYP3A5 and TPMT gene polymorphisms was performed by a Polymerase chain reaction-Restriction fragment length polymorphism (PCR-RFLP). The frequency of GSTM1 null genotype was found to be significantly higher among chronic myeloid leukemia (CML) patients vs controls (39% vs 18.5%, respectively) with a 2.85-fold increased risk for CML. The frequency of GSTT1 null was found to be significantly lower in CML patients vs controls (26% vs 40.7%). Under the dominant inheritance model, GSTP1 gene polymorphism was significantly associated with reduced risk of CML. Moreover, CYP3A5 * 6 and TPMT * 2 alleles were absent among CML patients and the control group. GSTM1 null genotype was found to be associated with an increased risk of CML whereas TPMT * 2 and CYP3A5 * 6 alleles were absent in the population of Punjab.
PENGARUH AKTIVITAS, MINAT DAN OPINI TERHADAP KEPUTUSAN KONSUMEN MENGGUNAKAN JASA SALON CHIQUITA DI KOTA PALU
Authors: Lestari Widya , Parani Syamsul Bachri Daeng , Ponirin Ponirin 
Published: August 2021

The purpose of the research is to find out the influence of activity, interest, and opinion on consumer decision in using Chiquita Salon in Palu City. There are 4 variables that used in this research; activity (X1), interest (X2), opinion (X3), and decision of the consumer (Y). Method of study is descriptive causal with a total sample of 60 respondents, who were selected by purposive sampling. Tool of analysis is multiple linear regressions with Software SPPS 17. The result finds that activity (X1), interest (X2), and opinion (X3) simultaneously influence the decision of the consumer in using Chiquita Salon in Palu City, with the level of significance of 0.000 < α 0.05. Furthermore, activity (X1) with the t-sig. value of 0.042; interest (X2) has the t-sig. value of 0.022; opinion (X3) has the t- sig. value of 0.001. These values are < 0.05, which means that each variable partially influences the decision of the consumer in using Chiquita Salon in Palu City. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh aktivitas, minat, dan pendapat konsumen terhadap keputusan menggunakan Chiquita Salon di Kota Palu. Ada 4 variabel yang digunakan dalam penelitian ini; aktivitas (X1), minat (X2), pendapat (X3), dan keputusan konsumen (Y). Metode penelitian adalah deskriptif kausal dengan total sampel sebanyak 60 responden, yang dipilih secara purposive sampling. Alat analisis regresi linier berganda dengan Software SPPS 17. Hasilnya menemukan bahwa aktivitas (X1), minat (X2), dan pendapat (X3) berpengaruh secara simultan terhadap keputusan konsumen dalam menggunakan Chiquita Salon di Kota Palu, dengan tingkat signifikansi 0,000 <α 0,05. Selanjutnya, aktivitas (X1) dengan t-sig. nilai 0,042; minat (X2)memiliki t-sig. nilai 0,022; pendapat (X3) memiliki t-sig. nilai 0,001. Nilai ini <0,05, yang berarti bahwa masing-masing variabel mempengaruhi secara parsial keputusan konsumen dalam menggunakan Chiquita Salon di Kota Palu.
PENGARUH FAKTOR EKUITAS MEREK TERHADAP KEPUTUSAN PEMBELIAN SABUN DETERJEN MEREK RINSO DI KELURAHAN LAYANA INDAH KOTA PALU
Authors: Labolo Suriani , Sutomo Maskuri , Mubaraq Rahmat 
Published: August 2021

The research aims to analyze the influence of brand equity that consists of brand awareness, quality perception, brand association, and brand loyalty, on customer purchase decision to buy Rinso at Layana Indah Village in Palu. Sample size of the study is 72 respondents who selected through purposive sampling technique. The results indicate that all variables, namely brand awareness, quality perception, brand association, and brand loyalty simultaneously have significant influence on customer purchase decision. The Adjusted R square of 0.527 indicates that brand equity has 52,7 percent of the variability of customer purchase decision, while 47,3 percent influenced by other variables that are not studied. Partially, all variables have positive and significant influence on customer purchase decision to buy Rinso detergent. Tujuan penelitian ini adalah untuk mengetahui pengaruh ekuitas merek yang terdiri atas kesadaran merek, persepsi kualitas, asosiasi merek, dan loyalitas merek terhadap keputusan pembelian produk deterjen merek Rinso di Kelurahan Layana Indah Kota Palu. Sampel dalam penelitian ini sebanyak 72 orang dengan teknik penarikan sampel menggunakan purposive sampling. Hasil penelitian menunjukan bahwa secara simultan variabel ekuitas merek yang terdiri dari kesadaran merek, persepsi kualitas, asosiasi merek dan loyalitas merek memiliki pengaruh signifikan terhadap keputusan konsumen sehingga apabila variabel ekuitas merek diterapkan secara baik maka keputusan pembelian juga akan meningkat, dengan nilai adjusted R square 0.527, artinya bahwa ekuitas merek berpengaruh terhadap keputusan pembelian sebesar 52.7 % dan sisanya sebesar 47.3 % dipengaruhi oleh variabel lain yang tidak diteliti. Secara parsial variabel kesadaran merek, persepsi kualitas, asosiasi merek dan loyalitas merek berpengaruh signifikan terhadap keputusan pembelian dalam menggunakan produk sabun deterjen merek Rinso.
PENGARUH FAKTOR PRIBADI TERHADAP KEPUASAN KONSUMEN MENGGUNAKAN HANDPHONE SAMSUNG DI KOTA PALU
Authors: Razana Razana , Parani Syamsul Bachri Daeng , Indriani Andi 
Published: August 2021

The purpose of this study is to determine the influence of personal factors on customer satisfaction in using Samsung mobile phone in Palu City. The variables studied are age and stage of life cycle (X1), job (X2), economic circumstances (X3), lifestyle (X4), personality and self-concept (X5), as well as customer satisfaction (Y). Research method is descriptive causal with sample of 60 respondents who selected by accidental side method. Data is analyzed with multiple linear regressions in SPSS software 19. Based on the analysis, the results confirmed that age and stage of life cycle (X1), job (X2), economic circumstances (X3), lifestyle (X4), personality and self-concept (X5), simultaneously and partially have significant influence on customer satisfaction in using Samsung mobile phone in Palu City. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh factor pribadi Kepuasan Pelanggan Menggunakan Handphone Samsung di kota Palu. Variabel yang digunakan adalah variabel usia dan tahap siklus hidup (X1), variabel job (X2), variabel keadaan ekonomi (X3), variabel gaya hidup (X4), variabel kepribadian dan self-concept (X5), serta variabel pelanggan kepuasan (Y). Metode yang digunakan adalah metode deskriptif dengan sampel sebanyak 60 responden, dan teknik yang digunakan untuk menentukan sampel adalah metode Accidental Side, yang kemudian akan dianalisis regresi linier berganda pada perangkat lunak SPSS 19. Berdasarkan hasil analisis menunjukkan bahwa variabel umur dan tahap siklus hidup (X1), variabel job (X2), variabel keadaan ekonomi (X3), variabel gaya hidup (X4), variabel kepribadian dan self-concept (X5) secara serempak dan partial berpengaruh signifikan terhadap serta kepuasan pelanggan menggunakan handphone Samsung di Kota Palu.