bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing oil palm farming: Soil quality, fertilization and agro-environmental performance
Authors: SUHERMAN CUCU , SUPRIATNA JAJANG , NURAINI ANNE , MUBAROK SYARIFUL 
Published: May 2024

The essential role of fertilization in the management of oil palm plantations cannot be overstated, with the understanding that effective strategies must be fine-tuned to accommodate the diversity of soil types present. The nuanced response of oil palm to fertilization under different soil conditions underscores the critical nature of this research. This study investigates the relationship between oil palm farming practices and agro-environmental performance of plantations. This research aims to understand the complex mechanisms influencing plantation productivity. Five agronomic field experiments were carried out on various soil types (Podzol, Inceptisol, Peat) during 2022. These experiments involved various types of soil and used different plant materials in a total land area of 33 hectares. The results of the peat soil trials revealed a positive effect of RP fertilizer on leaf phosphorus (P) content and a visible gradient in potassium (K) content with different doses of KCl. Average plantation yields peaked in 2022, showing the best yields ever recorded. On the contrary, experiments in podzolic soils showed that oil palm responded better to organic fertilizers than to mineral fertilizers in podzolic soils. The inceptisol soil revealed a significant increase in leaf potassium (K) content with KCl dose, confirming the positive effect of fresh oil palm empty fruit bunches (EFB) on potassium levels. In particular, EFB acts as a good K fertilizer, positively influencing the K content but negatively affecting the calcium content (Ca) due to K/Ca antagonism. These findings emphasize the need for diversified agricultural strategies to optimize oil palm cultivation, increase productivity, and reduce dependence on external input.
Pengembangan Bahan Ajar dengan Pendekatan Induktif untuk Meningkatkan Kemampuan Representasi Matematis Siswa SMP
Authors: Puspandari Indri , Praja Ena S , Muhtarulloh Fahrudin 
Published: May 2024

Kemampuan representasi matematis berkontribusi terhadap prestasi belajar matematika. Di lapangan kemampuan representasi matematis masih rendah. Penelitian ini dilakukan untuk mengembangkan bahan ajar berupa modul dengan pendekatan induktif pada materi persamaan linear satu variabel untuk siswa kelas VII SMP/MTs, mengetahui learning obstacle (hambatan belajar) pada materi persamaan linear satu variabel, mengetahui kevalidan dari modul dan pedoman pembelajaran guru, serta apakah terdapat peningkatan sesudah menggunakan modul ini. Penelitian ini menggunakan model pengembangan ADDIE (Analysis, Design, Development, Implementation, and Evaluation), tetapi dibatasi hanya sampai tahap ADD dan diujicobakan secara terbatas pada kelas VII SMP Negeri 1 Tengahtani. Instrumennya adalah soal tes kemampuan representasi matematis, lembar pedoman wawancara, lembar validasi modul dan lembar validasi pedoman pembelajaran guru. Hasil penelitian menunjukkan bahwa terdapat learning obstacle saat dilakukan uji coba soal. Kemampuan representasi matematis siswa mengalami peningkatan dengan rata-rata sebesar 0,37 yang berarti nilai tersebut memiliki interpretasi sedang.
Foucauldian Resistance in Dave Eggers' The Circle
Authors: Raj Paramaguru , Tamilselvi P. 
Published: May 2024

The paper titled “Foucauldian Resistance in Dave Eggers' _The Circle_” is analysing the work of dystopian fiction from the perspective of Foucauldian resistance. The paper is structured in a way to depict how power politics is constructed through technical knowledge and how the concept of resistance comes into existence due to digitized dominance. Later, this study depicts how power sustains its position amidst much resistance by nipping the inimical/resistive ideology in the bud itself by manipulating sophisticated technology. Besides, it exposes Foucauldian views that multiple points of resistance aret rarely united together to form a single force. “Resistances are distributed in an irregular fashion: (Kelly, 2009 -106). Modeling on this Foucauldian prediction, resistances at work in _The Circle,_ either inside the company or outside the company are not synchronised together. This inherent weakness of the resistive forces serves as a cause for notwithstanding the power politics of the company. Exploiting this resistive disunity, the company removes all the hurdles working against it easily and holding power perpetually. In addition to this, this paper highlights how the company shatters political power through strategic resistance and exploits the situation in a skillful manner to hold power.
Analysis of System Operation Optimization In Steam Power Plants with the Lagrange Method
Authors: Aripriharta Aripriharta , Husain Rafli Amirul , Sujito Sujito , Faiz Mohamad Rodhi , Prasetyo Muchamad Wahyu , Kusumawardana Arya , Gumilar Langlang , Habibi Muhammad Afnan 
Published: May 2024

Steam Power Plant (PLTU) is a plant that relies on kinetic energy from hot steam to produce electrical energy. At the Paiton Power Plant, thermal energy is generated from burning a certain amount of coal. The use of coal-fired power plants still dominates most of the world's electricity supply. The optimal operation of electric power systems has grown in importance in recent years due to ever-increasing fuel costs. An electric power system basically consists of power generation units that aim to serve the needs of the load. Total production costs can be minimized by a combination of power loading on existing generating units so that an optimal load or more is obtained. This optimization process is called Economic Dispatch. Economic Dispatch has conducted a lot of research using various optimization methods. In this study, the optimization method to be used is the Lagrange method. Firefly algorithm and genetic algorithm methods are also used as performance comparisons. The results of this study show that the lagrange method can optimize generation costs with a difference of 243,227,475 $ / hour or 7,043% of the actual cost. While the firefly algorithm gets a difference of 243,227,471 $ / hour or 7.043% of the actual cost. And the genetic algorithm gets a cost difference of 242,119,792 $ / hour or 7,011% of the actual cost.
STRATEGI KOMUNIKASI PEMASARAN DIGITAL ONLINE SHOP “ BUKA LAPAK” DALAM MENINGKATKAN PENJUALAN SAAT PANDEMI COVID-19
Authors: Novianita Riastri rias , Cindrakasih RR.Rosita Rosita , Yunita pratiwi Cindya Cindy , Anisti Anisti Anisti 
Published: May 2024

Salah satu dari dampak dari pendemi COVID-19 adalah kemrosotan dalam dunia bisnis dan ekonomi. Dengan demikian pemasar maupun pengusaha harus menemukan alternatif solusi untuk bisa memasarkan produk atau jasa mereka ke konsumen. Para pelaku bisnis mengoptimalkan pemasaran online dan digital branding sebagai sarana komunikasi dengan target konsumennya. Belanja saat pandemi melalui online (online shop) merupakan cara lain belanja yang ditawarkan oleh teknologi internet saat ini dengan berbagai kemudahan yang diberikan, seperti kemudahan waktu dalam melakukan pekerjaan tanpa harus bertatap muka terlebih dahulu. Bukalapak adalah salah satu situs belanja online pendatang baru, jika dibandingkan dengan situs belanja online lainnya. Strategi komunikasi bisnis Bukalapak melalui marketplace. Dengan memudahkan para penjual serta pembeli dalam berinteraksi melalui fitur live chatnya, Bukalapak juga menyediakan banyak produk mulai dari gadget, fashion, kosmetik, elektronik, otomotif dan lain sebagainya. Tujuan dari penelitian pada artikel ini ada dua. 1) Menganalisis strategi Komunikasi Pemasaran online Buka Lapak. 2) Mendeskripsikan pemasaran online dan digital branding Buka Lapak ditengah pandemi COVID 19. Jenis penelitian ini adalah penelitian referensi yang pengambilan datanya berorientasi pada beberapa referensi yang sesuai. Dengan menggunakan metode penelitian kualitatif, dan paradigma yang digunakan dalam penelitian ini adalah paradigma interpretif , didapatkan bahwa strategi pemasaran situs online shop Bukalapak yang dilakukan ditengah pandemi COVID 19 dinilai cukup efektif dilaksanakan pada saat pandemic.
Metabolic syndrome and pharmacotherapy outcomes in patients with type 2 diabetes mellitus
Authors: Alawdi Shawqi H. , Al-Dholae Mohammed , Al-Shawky Salah 
Published: May 2024

BackgroundMetabolic syndrome is a group of metabolic abnormalities that increase predisposition to several diseases including ischemic heart disease and diabetes mellitus. The study aimed to investigate metabolic syndrome among patients with type-2 diabetes mellitus (DM), and its impact on pharmacotherapy outcomes.MethodsAn observational cross-sectional study was performed on 910 patients with type-2 DM between June and December 2023. Fasting blood sugar, triglycerides, high-density lipoproteins (HDL), blood pressure, and abdominal obesity were measured. Metabolic syndrome was identified according to the National Cholesterol Education Program Adult Treatment Panel III criteria. Pharmacotherapy outcomes were assessed according to American Association of Clinical Endocrinologists and American Diabetes Association guidelines using the ability to achieve adequate glycemic control and normal levels of blood pressure and fasting plasma lipoproteins.ResultsIn total, 87.5% of type-2 DM patients had metabolic syndrome; the prevalence increased with age and was higher among females. Metabolic syndrome showed the following distribution of risk factors: insulin resistance (100%), low HDL (95.3%), elevated blood pressure (83%), triglycerides dyslipidemia (80.1%), and abdominal obesity (62.5%). Majority of the patients had either 5 or 4 risk factors of metabolic syndrome. The most common comorbidities were dyslipidemia (97.7%) and hypertension (83%). Treatment outcomes were insufficient where adequate glycemic control was only achieved in 12% of type-2 DM patients, and proper management of comorbid dyslipidemia and hypertension was achieved in 29% and 40.9% of patients, respectively. Adequate blood pressure control was less achieved in patients with metabolic syndrome (34.4%) than those without metabolic syndrome (77.2%). Similarly, dyslipidemia was less controlled in patients with metabolic syndrome (26.9%) than in those without metabolic syndrome (47.3%).ConclusionPharmacotherapy outcomes were inadequate for most patients with type-2 diabetes mellitus. Adopting early preventive and therapeutic interventions for metabolic syndrome is advised to improve treatment outcomes of the comorbid dyslipidemia and hypertension.
Association between heme oxygenase-1 and hyperlipidemia in pre-diabetic patients: a cross-sectional study
Authors: Fan Shujin , Yang Yulin , Li Xiaoyu , Liu Jing , Qiu Yue , Yan Li , Ren Meng 
Published: May 2024

BackgroundAlthough the importance and benefit of heme oxygenase-1 (HO-1) in diabetes rodent models has been known, the contribution of HO-1 in the pre-diabetic patients with hyperlipidemia risk still remains unclear. This cross-sectional study aims to evaluate whether HO-1 is associated with hyperlipidemia in pre-diabetes.MethodsSerum level of HO-1 was detected using commercially available ELISA kit among 1,425 participants aged 49.3–63.9 with pre-diabetes in a multicenter Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal (REACTION) prospective observational study. Levels of total cholesterol (TC) and triglyceride (TG) were measured and used to defined hyperlipidemia. The association between HO-1 and hyperlipidemia was explored in different subgroups.ResultThe level of HO-1 in pre-diabetic patients with hyperlipidemia (181.72 ± 309.57 pg/ml) was obviously lower than that in pre-diabetic patients without hyperlipidemia (322.95 ± 456.37 pg/ml). High level of HO-1 [(210.18,1,746.18) pg/ml] was negatively associated with hyperlipidemia (OR, 0.60; 95% CI, 0.37–0.97; p = 0.0367) after we adjusted potential confounding factors. In subgroup analysis, high level of HO-1 was negatively associated with hyperlipidemia in overweight pre-diabetic patients (OR, 0.50; 95% CI, 0.3–0.9; p = 0.034), especially in overweight women (OR, 0.42; 95% CI, 0.21–0.84; p = 0.014).ConclusionsIn conclusion, elevated HO-1 level was negatively associated with risk of hyperlipidemia in overweight pre-diabetic patients, especially in female ones. Our findings provide information on the exploratory study of the mechanism of HO-1 in hyperlipidemia, while also suggesting that its mechanism may be influenced by body weight and gender.
A corrosion model for CZ cladding based on in-pile irradiation data
Authors: Duoting Xu , Xiaoyan Wei , Xiaohan Liu , Xin Jin , Tao Wang 
Published: May 2024

Corrosion resistance is the critical in-pile property for developing new Zircaloy cladding. As a new Zircaloy developed by China General Nuclear Power Corporation, CZ will be used as fuel rod cladding. This study is devoted to investigating the corrosion behavior of CZ. A two-stage Arrhenius equation is proposed to model the corrosion rate. A total of 1,510 measurement data points taken from 151 fuel rods irradiated for 1–4 cycles were used to develop the corrosion model. The burnup of these fuel rods ranges from 13.7 MWd/kgU to 55.9 MWd/kgU. The mean value and standard deviation of P−M (predicted value minus measured value) are 0.54 and 3.65 microns, respectively, and the mean value and standard deviation of P/M (predicted value divided by measured value) are 1.09 and 0.34 microns, respectively. P−M and P/M increase with the local burnup. When the burnup is greater than 40 MWd/kgU, the mean values of P−M and P/M are 6.2 and 1.20 microns, respectively; on the other hand, the prediction of the proposed model is more conservative in high burnup. In the typical case in which the average burnup reaches 57 MWd/kgU, the oxide thickness of CZ cladding is much less than 30 microns, whereas the oxide thickness of Zr-4 cladding is approximately 80 microns, and this manifests that CZ cladding possesses excellent performance in corrosion resistance.
Applying colloidal silica suspensions injection and sequential gelation to block vertical water flow in well annulus: laboratory testing on rheology, gelation, and injection
Authors: Zhong Lirong , Mackley Rob , Li Lan , Thomle Jon , Day-Lewis Fred , Saslow Sarah 
Published: May 2024

We evaluated the application of silica suspension injection and sequential gelation to block vertical water flow in the annuli of long-screened wells. First, we studied the viscosity, rheological behavior, and gelation performance of colloidal silica suspensions in batch tests. Then, we tested the injection of silica suspensions and the water flow blocking efficiency of the later formed silica gel in column and bench-scale sandbox experiments. Micron-sized fumed powder silica suspensions and nanosized silica suspensions recovered from geothermal fluids were tested in this work. Fumed silica suspensions showed shear thinning, while nanosized silica suspensions exhibited Newtonian flow behavior. During the gelation process, the nanosized silica suspension changed from a Newtonian fluid to a shear thinning fluid while increasing its overall viscosity. At comparable concentrations, the nanosized silica suspensions have much lower viscosity than that of the fumed silica suspensions. Increases in the Na+ concentration and silica particle concentration in these suspensions shortened the gelation time. Silica suspension gelation in sand columns completely blocked the water flow and sustained the injection pressure up to 50 psig (344.7 kPa). A silica suspension was successfully injected into the target zone in the annulus of a bench-scale sandbox mimicking long-screened wells in the field. The silica gel formed in the annulus effectively blocked chemical transport through the gelled zone. Our research reveals that a process using silica suspension injection and sequential gelation technology is promising for blocking the vertical water flow and chemical transport through the filter pack in targeted zones within the annulus of long-screened well systems.
Second trimester vaginal Candida colonization among pregnant women attending antenatal care in Bukavu, Democratic Republic of the Congo: prevalence, clinical correlates, risk factors and pregnancy outcomes
Authors: Mulinganya Mulumeoderhwa Guy , De Keyser Karen , Mongane Irenge Jules , Kampara Mirindi Freddy , De Vulder Annelies , Boelens Jerina , Duyvejonck Hans , Hendwa Erick , Kujirakwinja Bisimwa Yvette , Bisimwa Balaluka Ghislain , Rodriguez Antonio , Vaneechoutte Mario , Callens Steven , Cools Piet 
Published: May 2024

IntroductionVaginal Candida colonization (CC) can lead to vulvovaginal candidiasis, the second most prevalent vaginal condition worldwide, and has been associated with adverse birth outcomes. However, no data on CC in the Democratic Republic of the Congo are available. We investigated the prevalence, Candida species, clinical correlates, risk factors and pregnancy outcomes in women with CC in the second trimester of pregnancy.Material and methodsIn Bukavu, the Democratic Republic of the Congo, pregnant women were recruited during antenatal care between 16 and 20 weeks of gestation from January 2017 to October 2017 and followed until delivery. Sociodemographics, sexual behavioral, hygienic and clinical characteristics, microbiological data and pregnancy outcomes were collected. Candida detection and speciation was performed with microscopy (Gram-stained smears and wet-mount) and/or quantitative PCR. Multivariate regression models were used to estimate the different associations with CC.ResultsThe prevalence of CC by wet mount, microscopy of Gram-stain smears and qPCR was 27.9%, 28.1% and 38.2%, respectively. C. albicans was the most prevalent Candida species (91.0%). Previous genital infections, an intermediate vaginal microbiota, bacterial vaginosis, and the use of pit toilets were risk factors for CC. Clinically, CC was associated with itching only. Women with CC had twice the odds for preterm birth, if Candida concentration was high, the odds were four times higher.ConclusionsIn Bukavu, the Democratic Republic of the Congo, the prevalence of CC was high and associated with microbiological and modifiable risk factors. Screening and treatment for CC during antenatal care should be investigated as a possible strategy to reduce preterm birth.
CLEC7A regulates M2 macrophages to suppress the immune microenvironment and implies poorer prognosis of glioma
Authors: Wang Jinchao , Li Xiaoru , Wang Kai , Li Kaiji , Gao Yalong , Xu Jianye , Peng Ruilong , Zhang Xu , Zhang Shu , Zhou Yuan , Xu Shangchen , Zhang Jianning 
Published: May 2024

BackgroundGliomas constitute a category of malignant tumors originating from brain tissue, representing the majority of intracranial malignancies. Previous research has demonstrated the pivotal role of CLEC7A in the progression of various cancers, yet its specific implications within gliomas remain elusive. The primary objective of this study was to investigate the prognostic significance and immune therapeutic potential of CLEC7A in gliomas through the integration of bioinformatics and clinical pathological analyses.MethodsThis investigation involved examining and validating the relationship between CLEC7A and glioma using samples from Hospital, along with data from TCGA, GEO, GTEx, and CGGA datasets. Subsequently, we explored its prognostic value, biological functions, expression location, and impact on immune cells within gliomas. Finally, we investigated its potential impact on the chemotaxis and polarization of macrophages.ResultsThe expression of CLEC7A is upregulated in gliomas, and its levels escalate with the malignancy of tumors, establishing it as an independent prognostic factor. Functional enrichment analysis revealed a significant correlation between CLEC7A and immune function. Subsequent examination of immune cell differential expression demonstrated a robust association between CLEC7A and M2 macrophages. This conclusion was further substantiated through single-cell analysis, immunofluorescence, and correlation studies. Finally, the knockout of CLEC7A in M2 macrophages resulted in a noteworthy reduction in macrophage chemotaxis and polarization factors.ConclusionCLEC7A expression is intricately linked to the pathology and molecular characteristics of gliomas, establishing its role as an independent prognostic factor for gliomas and influencing macrophage function. It could be a promising target for immunotherapy in gliomas.
Predicting chemotherapy toxicity in multiple myeloma: the prognostic value of pre-treatment serum cytokine levels of interleukin-6, interleukin-8, monocyte chemoattractant protein-1, and vascular endothelial growth factor
Authors: Mielnik Michał , Podgajna-Mielnik Martyna , Szudy-Szczyrek Aneta , Homa-Mlak Iwona , Mlak Radosław , Gorący Aneta , Hus Marek 
Published: May 2024

IntroductionMultiple Myeloma (MM), a prevalent hematological malignancy, poses significant treatment challenges due to varied patient responses and toxicities to chemotherapy. This study investigates the predictive value of pretreatment serum levels of interleukin-6 (IL-6), interleukin-8 (IL-8), monocyte chemoattractant protein-1 (MCP-1), and vascular endothelial growth factor (VEGF) for chemotherapy-induced toxicities in newly diagnosed MM patients. We hypothesized that these cytokines, pivotal in the tumor microenvironment, might correlate with the incidence and severity of treatment-related adverse events.MethodsWe conducted a prospective observational study with 81 newly diagnosed MM patients, analyzing serum cytokine levels using the multiplex cytometric bead assay (CBA) flow cytometry method. The study used non-parametric and multivariate analysis to compare cytokine levels with treatment-induced toxicities, including lymphopenia, infections, polyneuropathy, and neutropenia.ResultsOur findings revealed significant associations between cytokine levels and specific toxicities. IL-8 levels were lower in patients with lymphopenia (p=0.0454) and higher in patients with infections (p=0.0009) or polyneuropathy (p=0.0333). VEGF concentrations were notably lower in patients with neutropenia (p=0.0343). IL-8 demonstrated an 81% sensitivity (AUC=0.69; p=0.0015) in identifying infection risk. IL-8 was an independent predictor of lymphopenia (Odds Ratio [OR]=0.26; 95% Confidence Interval [CI]=0.07-0.78; p=0.0167) and infection (OR=4.76; 95% CI=0.07-0.62; p=0.0049). High VEGF levels correlated with a 4-fold increased risk of anemia (OR=4.13; p=0.0414).ConclusionsPre-treatment concentrations of IL-8 and VEGF in serum can predict hematological complications, infections, and polyneuropathy in patients with newly diagnosed MM undergoing chemotherapy. They may serve as simple yet effective biomarkers for detecting infections, lymphopenia, neutropenia, and treatment-related polyneuropathy, aiding in the personalization of chemotherapy regimens and the mitigation of treatment-related risks.