bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing different oil sources efficacy in reducing environmental heat-stress effects via improving performance, digestive enzymes, antioxidant status, and meat quality
Authors: Elbaz Ahmed M. , Zaki Engy F. , Salama Atif A. , Badri Faisal B. , Thabet Hany A.
Published: November 2023

Adding oil to the feed of genetically improved broilers is necessary to provide energy requirements, in addition to enhancing metabolism, growth performance, immune response. This study aims to reveal the effect of adding different oil sources in the diets of broilers exposed to environmental heat stress on performance, digestibility, oxidative status, plasma lipids, fatty acids content, and meat quality. Six hundred twenty-five one-day-old broiler chicks were randomly distributed to five groups as follows: the first group fed a diet without oil (CON) as a control, while the second to the fifth group fed a diet containing soy oil (SO), corn oil (CO), olive oil (OO), and fish oil (FO), respectively. Results indicated a significant deterioration in growth performance, carcass traits, and oxidative state with a significant decrease in carcass quality in heat-stressed chickens fed the CON diet. Results showed increased growth, enhanced feed conversion ratio, and carcass dressing in broilers fed the oil-supplemented diet compared to the control diet, however, the digestive enzymes activity was not affected by receiving an oil-supplemented diet. The best performance was in chickens fed OO and SO, compared with FO and CO. Plasma aspartate aminotransferase (AST), and alanine aminotransferase (ALT) increased in broilers fed an oil-supplemented diet. Plasma high-density lipoprotein (HDL), and superoxide dismutase (SOD) remarkably increased in broilers fed OO, whereas the malondialdehyde (MDA) decreased compared to the other groups. Adding different dietary oil sources enhanced the breast muscle's fatty acid composition. Broiler diets supplemented with oils positively affected meat quality by enhancing color measurements, and TBA values, while the best were in chicken fed OO. It was concluded that adding dietary oil at 3% in the diets of broiler chicken exposed to environmental heat stress positively affected growth performance, enhanced oxidative status, and meat quality, best results were in broilers fed a diet that included olive oil.
Insights on hexavalent chromium(VI) remediation strategies in abiotic and biotic dual chamber microbial fuel cells: electrochemical, physical, and metagenomics characterizations
Authors: Khater Dena Z. , Amin R. S. , Fetohi Amani E. , Mahmoud Mohamed , El-Khatib K. M.
Published: November 2023

Hexavalent chromium [Cr(VI)] is one of the most carcinogenic and mutagenic toxins, and is commonly released into the environemt from different industries, including leather tanning, pulp and paper manufacturing, and metal finishing. This study aimed to investigate the performance of dual chamber microbial fuel cells (DMFCs) equipped with a biocathode as alternative promising remediation approaches for the biological reduction of hexavalent chromium [Cr(VI)] with instantaneous power generation. A succession batch under preliminary diverse concentrations of Cr(VI) (from 5 to 60 mg L−1) was conducted to investigate the reduction mechanism of DMFCs. Compared to abiotic-cathode DMFC, biotic-cathode DMFC exhibited a much higher power density, Cr(VI) reduction, and coulombic efficiency over a wide range of Cr(VI) concentrations (i.e., 5–60 mg L−1). Furthermore, the X-ray photoelectron spectroscopy (XPS) revealed that the chemical functional groups on the surface of biotic cathode DMFC were mainly trivalent chromium (Cr(III)). Additionally, high throughput sequencing showed that the predominant anodic bacterial phyla were Firmicutes, Proteobacteria, and Deinococcota with the dominance of Clostridiumsensu strict 1, Enterobacter, Pseudomonas, Clostridiumsensu strict 11 and Lysinibacillus in the cathodic microbial community. Collectively, our results showed that the Cr(VI) removal occurred through two different mechanisms: biosorption and bioelectrochemical reduction. These findings confirmed that the DMFC could be used as a bioremediation approach for the removal of Cr(VI) commonly found in different industrial wastewater, such as tannery effluents. with simultaneous bioenergy production.
Mitigation of PWR fuel assembly vibrations using bio-inspired nozzles
Authors: Gad-el-Hak Ibrahim , Mureithi Njuki , Karazis Kostas , Painter Brian
Published: November 2023

Jet flows injected in a transverse flow need rapid and effective mixing for various applications ranging from medicine injection into bloodstreams to nuclear pressurized water reactors (PWRs). Inspired by marine organisms, spiral snails, and sharks, bio-inspired nozzles are proposed and experimentally investigated to explore their advantages in suppressing nuclear fuel assembly vibrations. It has been observed that a combination of axial flow and jet cross-flow causes vibrations of fuel rods and potential wear at spacer grid supports. Marine biomimetics is used to improve the mixing between the jet flow and surrounding fluid flows. Inspired by the structure of gastropod shells, a variable whorl spacing nozzle is proposed to induce a swirling jet flow to enhance the mixing rate with the flow inside the reactor cores. In addition, the smooth maneuverability of the sharks highlights the importance to include gill slits structure into nozzles. This work focuses on mitigating PWR fuel assembly vibrations using two biomimetic nozzles, a snail nozzle and a shark nozzle. These two nozzles are proposed to improve the mixing rate between the injected flow and the primary coolant flow, resulting in a reduced jet flow effect on fuel rods. A single-span mock-up PWR array is designed, fabricated, and instrumented to mimic the real nuclear fuel assembly. The array is experimentally tested under combined axial flow and jet cross-flow to investigate its dynamical behavior. Three different nozzles, a basic circular nozzle, a snail nozzle, and a shark nozzle, are tested. The research investigates the ability of the proposed marine biomimetic nozzles to suppress the vibration of the rod bundle by comparing the results from the three tested nozzles. The obtained results suggest that the proposed snail-inspired biomimetic nozzle is significantly better than the circular nozzle since it reduces rod bundle vibration by increasing flow mixing. A 50% reduction was achieved by implementing it instead of the circular nozzle. More importantly, the shark-inspired nozzle delays the critical jet flow rate, at which the unstable vibration occurs in the rod bundle, by 20%. In addition to delaying instability, a vibration amplitude reduction of 87.5% was obtained using the proposed shark-inspired nozzle compared to the circular nozzle. The results are promising for various applications including gas burners, combustion chambers, and chemical reactors for providing efficient and rapid mixing between two fluid streams.
Spatio-temporal evolution of land use and its eco-environmental effects in the Caohai National Nature Reserve of China
Authors: Su Yin , Feng Guojun , Ren Jintong
Published: November 2023

With the rapid development of social economy, the ecological environment problems caused by the change of wetland land use have been widely concerned. This paper takes the Caohai National Nature Reserve (CNNR) of China as the research object on the basis of referring to previous research results. Firstly, the remote sensing data was employed to examine the spatio-temporal evolution process of the CNNR from three aspects: land use structure change, land use dynamic degree and land use space change. Then the change of ecological environment quality was studied from the greenness, the wetness, the dryness and the heat. Based on the spatiotemporal changes of land use types and ecological environment quality in the CNNR from 2000 to 2020, a comprehensive index, the remote sensing ecological index (RSEI), was constructed to analyze the ecological environmental effects of land use changes. The results indicate that the land use changes in the CNNR went through two major periods: first, a period of rapid decline in cultivated land, and second, a period of sharp increase in constructed land. During the period of rapid decline in cultivated land, the ecological environment quality in the study area showed an upward trend. However, during the period of increased constructed land, the ecological environment quality gradually stabilized. This study provides a basis for the coordinated development of the ecological environment and social economy in the CNNR area.
A disulfidptosis-related lncRNA index predicting prognosis and the tumor microenvironment in colorectal cancer
Authors: Xiao Lijun , Yin Wen , Chen Xuanqin , Zhang Xu , Zhang Chao , Yu Zehui , Lü Muhan
Published: November 2023

Colorectal cancer (CRC) is a common and deadly cancer worldwide with a high lethality rate. Disulfidptosis has been found to be an emerging mode of death in cancer, and the purpose of this study was to explore the relationship between disulfidptosis-related lncRNAs (DRLs) and CRC and to develop a prognostic model for CRC and DRLs. The gene expression data and clinicopathologic information of colorectal cancer patients were obtained from The Cancer Genome Atlas (TCGA) and screened for DRLs based on correlation analysis. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to construct the prognostic model, and its validation was carried out by PCA and receiver operating characteristic (ROC) curves. We constructed nomograms combined with the model. Finally, the possible mechanisms by which lncRNAs affect CRC were explored by functional enrichment analysis, immune infiltration and immune escape analysis. In summary, we developed a prognostic marker consisting of lncRNAs associated with disulfidptosis to help clinicians predict the survival of different CRC patients and use different targeted therapies and immunotherapies depending on the condition.
3D structural modeling using seismic data and well logs for Khatatba reservoir in Matruh-Shushan Basin, North Western Desert, Egypt
Authors: Eid Amr M. , Mabrouk Walid M. , Amer Mohammed , Metwally Ahmed
Published: November 2023

Middle Jurassic reservoirs present challenges in the northern segment of the Western Desert due to geometric uncertainties arising from structural configurations, lateral facies variations, diverse lithologies, and heterogeneous reservoir quality. Consequently, this study employed an intricate approach, constructing detailed 3D geostatic models by amalgamating diverse datasets, including 2D seismic sections and digital well-logs. The focus of these 3D models was on the Khatatba Formation (Upper-Safa Member, Kabrit Member, and Lower-Safa Member) in Matruh—Shushan Basin in the North Western Desert. The objectives encompassed assessing hydrocarbon potential, precisely estimating reserves, formulating development and exploration strategies, and identifying prospective drilling locations. The resultant structural model revealed a compartmentalized region marked by major and minor NE–SW trending normal faults, establishing structurally advantageous locations for hydrocarbon trapping within the study area. Petrophysical analyses highlighted the promising potential of the Upper-Safa Member as a reservoir, featuring porosity values ranging from 10 to 18%, peaking in the northeast sector, volume of shale (Vsh) between 15 and 24%, water saturation (Sw) spanning from 18 to 53%, and increased sand thickness towards the eastern section. Similarly, the Lower-Safa Member demonstrated favorable reservoir attributes, including porosity values ranging from 10 to 16%, with higher values in the southeastern part, Vsh between 17 and 28%, and Sw varying from 15 to 47%. The study findings underscored the hydrocarbon potential in the northeast block of the study area for the Middle Jurassic Khatatba Formation. These insights contribute valuable information for decision-making in exploration and production endeavors within the basin.
Identification and characterization of a novel heparinase PCHepII from marine bacterium Puteibacter caeruleilacunae
Authors: Lu Danrong , Wang Luping , Ning Zeting , Li Zuhui , Li Meihua , Jia Yan , Zhang Qingdong
Published: November 2023

Heparin (HP) and heparan sulfate (HS) are multifunctional polysaccharides widely used in clinical therapy. Heparinases (Hepases) are enzymes that specifically catalyse HP and HS degradation, and they are valuable tools for studying the structure and function of these polysaccharides and for preparing low molecular weight heparins. In this study, by searching the NCBI database, a novel enzyme named PCHepII was discovered in the genome of the marine bacterium Puteibacter caeruleilacuae. Heterologously expressed PCHepII in Escherichia coli (BL21) has high expression levels and good solubility, active in sodium phosphate buffer (pH 7.0) at 20°C. PCHepII exhibits an enzyme activity of 254 mU/mg towards HP and shows weak degradation capacity for HS. More importantly, PCHepII prefers to catalyse the high-sulfated regions of HP and HS rather than the low-sulfated regions. Although PCHepII functions primarily as an endolytic Hepase, it mainly generates disaccharide products during the degradation of HP substrates over time. Investigations reveal that PCHepII exhibits a preference for catalysing the degradation of small substrates, especially HP tetrasaccharides. The catalytic sites of PCHepII include the residues His199, Tyr254, and His403, which play crucial roles in the catalytic process. The study and characterization of PCHepII can potentially benefit research and applications involving HP/HS, making it a promising enzyme.
Investigation of laser wavelength effect on the ablation of enamel and dentin using femtosecond laser pulses
Authors: Rapp Ludovic , Madden Steve , Brand Julia , Maximova Ksenia , Walsh Laurence J. , Spallek Heiko , Zuaiter Omar , Habeb Alaa , Hirst Timothy R. , Rode Andrei V.
Published: November 2023

We investigated the effect of femtosecond (fs) laser ablation of enamel and dentin for different pulse wavelengths: infrared (1030 nm), green (515 nm), and ultra-violet (343 nm) and for different pulse separations to determine the optimal irradiation conditions for the precise removal of dental hard tissues with the absence of structural and compositional damage. The ablation rates and efficiencies were established for all three laser wavelengths for both enamel and dentin at room temperature without using any irrigation or cooling system, and the surfaces were assessed with optical and scanning electron microscopy, optical profilometry, and Raman spectroscopy. We demonstrated that 515 nm fs irradiation provides the highest rate and efficiency for ablation, followed by infrared. Finally, we explored the temperature variations inside the dental pulp during the laser procedures for all three wavelengths and showed that the maximum increase at the optimum conditions for both infrared and green irradiations was 5.5 °C, within the acceptable limit of temperature increase during conventional dental treatments. Ultra-violet irradiation significantly increased the internal temperature of the teeth, well above the acceptable limit, and caused severe damage to tooth structures. Thus, ultra-violet is not a compatible laser wavelength for femtosecond teeth ablation.
USP18 enhances dengue virus replication by regulating mitochondrial DNA release
Authors: Lai Jenn-Haung , Wu De-Wei , Wu Chien-Hsiang , Hung Li-Feng , Huang Chuan-Yueh , Ka Shuk-Man , Chen Ann , Ho Ling-Jun
Published: November 2023

Dengue virus (DENV) infection remains a challenging health threat worldwide. Ubiquitin-specific protease 18 (USP18), which preserves the anti-interferon (IFN) effect, is an ideal target through which DENV mediates its own immune evasion. However, much of the function and mechanism of USP18 in regulating DENV replication remains incompletely understood. In addition, whether USP18 regulates DENV replication merely by causing IFN hyporesponsiveness is not clear. In the present study, by using several different approaches to block IFN signaling, including IFN neutralizing antibodies (Abs), anti-IFN receptor Abs, Janus kinase inhibitors and IFN alpha and beta receptor subunit 1 (IFNAR1)knockout cells, we showed that USP18 may regulate DENV replication in IFN-associated and IFN-unassociated manners. Localized in mitochondria, USP18 regulated the release of mitochondrial DNA (mtDNA) to the cytosol to affect viral replication, and mechanisms such as mitochondrial reactive oxygen species (mtROS) production, changes in mitochondrial membrane potential, mobilization of calcium into mitochondria, 8-oxoguanine DNA glycosylase 1 (OGG1) expression, oxidation and fragmentation of mtDNA, and opening of the mitochondrial permeability transition pore (mPTP) were involved in USP18-regulated mtDNA release to the cytosol. We therefore identify mitochondrial machineries that are regulated by USP18 to affect DENV replication and its association with IFN effects.
Introduction to Photoluminescent Carbon Dots
Authors: Chen Bin Bin , Liu Qing Qing , Liu Meng Li , Huang Cheng Zhi
Published: November 2023

Carbon dots (CDs) have attracted much attention due to their significant advantages, such as low toxicity, high chemical stability and unique photophysical properties. In this chapter, we briefly describe the importance and merits of CDs and provide a comprehensive summary of the structure and classification of CDs. Subsequently, we focus on the synthesis strategy and optical properties of CDs. Lastly, we discuss the effect of CDs on plant growth. These descriptions will provide readers who have a background in chemistry with the basic knowledge and concepts of this topic.
Large-scale Synthesis of Carbon Dots for Pollutant Adsorption and Photodegradation
Authors: Zhang Li , Xiao Sai Jin , Huang Cheng Zhi
Published: November 2023

Efficient removal/degradation of industrial or domestic pollutants is of great importance for the protection of human health and the environment. Among the various technologies, adsorption and photodegradation are the two most important methods for the successful removal of pollutants. Carbon dots (CDs) are promising materials in the construction of adsorbents or photocatalysts owing to their unique photophysical and chemical properties, including good light-harvesting, upconversion photoluminescence, efficient charge transportation and separation, abundant functional groups on the surfaces, etc. This chapter summarizes recent progress in the field of CD large-scale synthesis and CD-based environmental applications, including the adsorption of heavy metal ions and organic pollutants, the photodegradation of organic pollutants, and the photocatalytic reduction of heavy metal ions. Finally, the challenges and the future prospects of using CD-based nanomaterials in pollutant treatment are also highlighted.
Strategies for the proton-coupled multi-electron reduction of CO2 on single-atom catalysts
Authors: Zheng Zhiyuan , Yue Yiming , Zhuo Hongying , Liu Qinggang , Huang Yanqiang
Published: November 2023

Single-atom catalysts have long faced challenges in reactions involving multiple reactants and multiple reaction steps. This review presents the most recent research advances in the development of single-atom catalysts for the deep reduction of CO2.
Energy transfer and tunable emission in BaSrGd4O8:Bi3+,Eu3+ phosphors for warm WLED
Authors: Wei Shuai , Lyu Zeyu , Sun Dashuai , Luo Pengcheng , Lu Zheng , Zhou Luhui , He Mingrui , Shen Sida , You Hongpeng
Published: November 2023

A series of new phosphors BaSrGd4O8:Bi3+,Eu3+ achieved can be enhanced luminescence, energy transfer modulation of luminescence color, and used in WLED.
Sub-100 nm nanoplastics: potent carriers of tributyltin in marine water
Authors: Raymond Jason , Felipe-Sotelo Monica , Bance-Soualhi Rachida , Crean Carol , Al-Sid-Cheikh Maya
Published: November 2023

This study demonstrates that sub-100 nm nanoplastics have a significantly greater capacity for tributyltin adsorption, raising concerns that small nanoplastics may remobilise existing TBT pollution, rendering it more available to marine organisms.
Unlocking the potential of self-healing and recyclable ionic elastomers for soft robotics applications
Authors: Utrera-Barrios S. , Steenackers N. , Terryn S. , Ferrentino P. , Verdejo R. , Van Asche G. , López-Manchado M. A. , Brancart J. , Hernández Santana M.
Published: November 2023

Mechanically strong, self-healing and recyclable rubber-based ionic elastomers for soft robotics hand.
Eu3+-MOF fluorescence sensor based on a dual-ligand strategy for visualised detection of an anthrax biomarker 2,6-pyridine dicarboxylic acid
Authors: Wang Runnan , Zhang Hao , Sun Jing , Su Zhongmin
Published: November 2023

A dual-ligand ratiometric fluorescence sensor based on lanthanide–metal–organic frameworks was successfully synthesised for the sensitive and convenient detection of DPA.
Solid-state electrolytes for inhibiting active species crossover in lithium metal batteries: a review
Authors: Tan Chaoqiang , Long Ziren , Zhang Shichao , Zhong Wei , Cheng Hao , Lu Yingying
Published: November 2023

Solid-state electrolytes not only avoids volatility, flammability, and short-circuits, but also inhibits the crossover of active species in various lithium-metal batteries, such as Li–sulfur, Li–organic and Li–air batteries.
Synthesis of imidazo[1,2-a]pyridinones via a visible light-photocatalyzed functionalization of alkynes/nitrile insertion/cyclization tandem sequence using micro-flow technology
Authors: Wei Minghui , Chen Jiankun , Liu Chengkou , Yang Zhao , Qin Hong , Hu Yujing , Duan Jindian , Li Yuguang , Fang Zheng , Guo Kai
Published: November 2023

We successfully developed an unprecedented route for imidazo[1,2-a]pyridinone synthesis through a visible light-photocatalysed functionalization of alkynes/nitrile insertion/cyclization tandem sequence in a microchannel reactor.
Visible-light-driven C(sp3)–H alkylation of heterobenzylic amines via electron donor–acceptor complexes
Authors: Huo Yumei , Chen Beibei , Xu Zhaoqing , Ren Xiaoyu , Qi Rupeng , Wang Chao
Published: November 2023

A method involving catalysis by an EDA complex was developed for the C(sp3)–H alkylation of heterobenzylic amines.
Dopant engineering for ZnO electron transport layer towards efficient perovskite solar cells
Authors: Zainal Abidin Nurul Aliyah , Arith Faiz , Noorasid N. Syamimi , Sarkawi Hafez , Mustafa A. Nizamuddin , Safie N. E. , Shah A. S. Mohd , Azam M. A. , Chelvanathan Puvaneswaran , Amin Nowshad
Published: November 2023

Dopant engineering of lanthanum (La) on zinc oxide (ZnO) electron transport layer for perovskite solar cell application.
A light scattering camouflage membrane with similar solar spectrum reflectance to leaves based on a chlorophyll and titanium dioxide composite
Authors: Gao Ying , Chen Yajun , Li Yi , Liu Weiqiang , Lu Beibei
Published: November 2023

Compared with the bionic membrane, CM-Chl/TD exhibits more similar reflection characteristics to the leaf in the wavelength range of 400 to 2500 nm.
Exploring cyclin-dependent kinase inhibitors: a comprehensive study in search of CDK-6 inhibitors using a pharmacophore modelling and dynamics approach
Authors: Chagaleti Bharath Kumar , Saravanan Venkatesan , Vellapandian Chitra , Kathiravan Muthu K.
Published: November 2023

Design and development of novel CDK-6 inhibitors by computational investigation using a ligand based pharmacophore model, ADMET studies, molecular docking and dynamics.
A hybrid quantum dot:MXene bulk heterojunction for an efficient infrared self-powered photodetector
Authors: Huang Junyi , Ding Jianfeng , Tan Furui , Gao Yueyue , Lu Xiayao , Dong Chen , Yue Gentian , Xu Xiaobao , Ding Liming
Published: November 2023

A Br-MXene:PbS QD bulk heterostructure (BHJ) with an intermediate halogen bridging is developed to boost charge transfer at the donor/acceptor interface. The photodetector based on this BHJ exhibits an enhanced photoresponse performance.
Antiferromagnetic Fe3As nanostructure with a unique planar Fe arrangement
Authors: Yan Xu , Han Fanjunjie , Liu Yong , Yang Guochun
Published: November 2023

A planar Fe3As monolayer has a high Néel temperature of 687 K, a large magnetocrystalline anisotropy energy of 1.03 meV per Fe, and a wide band gap of 1.04 eV.
Simple synthesis of carbon dots/organosilicon composites with tunable solid-state emission and size for accurate latent fingerprint identification
Authors: Cao Xiyue , Chen Jiashi , Chen Yue , Jiang Xuanfeng , Fan Wen , Ma Huijuan , Sun Zhengguang , Zhan Yuan
Published: November 2023

The CDs–OSi composites with tunable emission and size were prepared by adjusting the volume ratio of H2O and EtOH in solvothermal. The CDs–OSi composites were applied in identification of latent fingerprint with effective definition and contrast.
Regulation and application of organic luminescence from low-dimensional organic–inorganic hybrid metal halides
Authors: Gao Shanshan , Wang Shuaiqi , Wu Junyan , Lin Zhenghuan
Published: November 2023

In this review, the organic luminescence properties of low-dimensional organic–inorganic hybrid metal halides (LDMHs) are summarized, with emphasis on the mechanism, regulating strategy and applications of organic luminescence in LDMHs.
Dexamethasone prophylaxis protects from acute high-altitude illness by modifying the peripheral blood mononuclear cell inflammatory transcriptome
Authors: Kumar Rahul , Chanana Neha , Sharma Kavita , Palmo Tsering , Lee Michael H. , Mishra Aastha , Nolan Kevin , Fonseca Balladares Dara C. , Mickael Claudia , Gupta Mohit D. , Thinlas Tashi , Pasha Qadar , Graham Brian B.
Published: November 2023

Acute high-altitude (HA) exposure can induce several pathologies. Dexamethasone (DEX) can be taken prophylactically to prevent HA disease, but the mechanism by which it acts in this setting is unclear. We studied the transcriptome of peripheral blood mononuclear cells (PBMCs) from 16 subjects at low altitude (LA, 225 m) and then 3 days after acute travel to HA (3500 m) during the India-Leh-Dexamethasone-Expedition-2020 (INDEX2020). Half of the participants received oral DEX prophylaxis 4 mg twice daily in an unblinded manner, starting 1 day prior to travel to HA, and 12 h prior to the first PBMC collection. PBMC transcriptome data were obtained from 16 subjects, half of whom received DEX. The principal component analysis demonstrated a clear separation of the groups by altitude and treatment. HA exposure resulted in a large number of gene expression changes, particularly in pathways of inflammation or the regulation of cell division, translation, or transcription. DEX prophylaxis resulted in changes in fewer genes, particularly in immune pathways. The gene sets modulated by HA and DEX were distinct. Deconvolution analysis to assess PBMC subpopulations suggested changes in B-cell, T-cell, dendritic cell, and myeloid cell numbers with HA and DEX exposures. Acute HA travel and DEX prophylaxis induce significant changes in the PBMC transcriptome. The observed benefit of DEX prophylaxis against HA disease may be mediated by suppression of inflammatory pathways and changing leukocyte population distributions.
An automated procedure for the detection of the Yarkovsky effect and results from the ESA NEO Coordination Centre
Authors: Fenucci Marco , Micheli Marco , Gianotto Francesco , Faggioli Laura , Oliviero Dario , Porru Andrea , Rudawska Regina , Cano Juan Luis , Conversi Luca , Moissl Richard
Published: November 2023

Context. The measurement of the Yarkovsky effect on near-Earth asteroids (NEAs) is common practice in orbit determination today, and the number of detections will increase with the developments of new and more accurate telescopic surveys. However, the process of finding new detections and identifying spurious ones is not yet automated, and it often relies on personal judgment.

Aims. We aim to introduce a more automated procedure that can search for NEA candidates to measure the Yarkovsky effect, and that can identify spurious detections.

Methods. The expected semi-major axis drift on an NEA caused by the Yarkovsky effect was computed with a Monte Carlo method on a statistical model of the physical parameters of the asteroid that relies on the most recent NEA population models and data. The expected drift was used to select candidates in which the Yarkovsky effect might be detected, according to the current knowledge of their orbit and the length of their observational arc. Then, a nongravitational acceleration along the transverse direction was estimated through orbit determination for each candidate. If the detected acceleration was statistically significant, we performed a statistical test to determine whether it was compatible with the Yarkovsky effect model. Finally, we determined the dependence on an isolated tracklet.

Results. Among the known NEAs, our procedure automatically found 348 detections of the Yarkovsky effect that were accepted. The results are overall compatible with the predicted trend with the inverse of the diameter, and the procedure appears to be efficient in identifying and rejecting spurious detections. This algorithm is now adopted by the ESA NEO Coordination Centre to periodically update the catalogue of NEAs with a measurable Yarkovsky effect, and the results are automatically posted on the web portal.
Decoding the Flavor of Success: A Comprehensive Strategic Analysis of Rines MSME – A Soybean Snack Producer from Mojokerto
Authors: Dini Ines , Janet Marcia , Fahlevi Mochammad
Published: November 2023

Rines is a micro, small, and medium enterprise (MSME) which produces specialty snacks from the Mojokerto area, soybean chips. This study aims to examine internal and external factors influencing the business, and thus, provides an insight into the business’s current state to devise an effective strategic framework. Employing mixed method research, data are collected through interviews, literature reviews, and questionnaires administered to key decision-makers within the business. The analysis incorporates several analytical instruments, including the Internal Factor Evaluation (IFE) Matrix, External Factor Evaluation (EFE) Matrix, and Internal-External (IE) Matrix. The results of this research obtained that the IFE and EFE values were above the average, indicating that Rines had been able to control their internal and external factors. Then from IE matrix placing Rines in Quadrant I represents the category of growing and developing businesses (Grow and Build). The recommended strategies for Rines include intensive strategies and integrative strategies such as backward integration, forward integration, and horizontal integration.
The Effect of ICT Index, Constant GRDP, HDI, and Gini Ratio by Province on Percentage of Poor Population (P0) in Indonesia, 2019-2021
Authors: Aufa Halilah , Sudarmo  , Wahyunengseh Rutiana
Published: November 2023

Digital and information technology has evolved very rapidly in the wake of the Covid-19 pandemic. This affects all spheres of life of the Indonesian people. The Information and Communication Technology Development Index (IP-TIK) is a standard measure to describe a region's information and communication technology development level, digital divide and ICT development potential. A region's population poverty rate, regional GDP growth, Human Development Index and Gini coefficient all affect the region's Information and Communication Technology Index (ICT Index). In this study, the authors wanted to know which variables had the greatest impact and how these variables affected scores on the Information and Communication Technology Index (ICT). Research methods use literature research data and quantitative methods. This study uses convergent validity, discriminant validity and composite reliability testing tools. The researchers used SmartPLS 3.2.9 software to determine R-squared values using partial least squares (PLS). The R-squared test results show that the R-squared value of the variable IP ICT is 0.906, which is interpreted as the ability of the model "Percentage of poor population in each province and region (P0), constant GRDP, HDI". It is OK. The Gini coefficient of each province explaining the ICT Index variable is 90.6%, and the remaining 9.4% is explained by other variables.
Analysis of Pracima Tuin's Tourism Promotion via Instagram (Virtual Ethnographic at @pracima.mn)
Authors: Febriyani Arifa Rachma , Mardhiyani Nur Laili , Noviani Nur Laili , Muntakhib Ahmad
Published: November 2023

Puro Mangkunegaran as a cultural heritage that implements the Renewable Energy Certificate (REC), has a leading tourist destination, namely Pracima Tuin, which has been revitalized. Pracima Tuin's tourism promotion is implemented via Instagram @pracima.mn. Visual ethnography is used to describe the phenomenon of digital society, by making participatory observations on Instagram @pracima.mn. The results of digital observations up to 13 July 2023 show that the visual content that Instagram followers @pracima.mn are interested in is visual content about workshop activities at Pracima Tuin, both in the form of digital posters and short videos. Apart from that, interest in visiting Pracima Tuin was also visible through the comments of followers. Instagram @pracima.mn also carried out a repost story strategy from other Instagram users to increase engagement. Suggestions for Instagram managers @pracima.mn can take advantage of the geo tag feature to maximize tourism promotion.
Computer Vision in Chicken Monitoring System Using Machine Learning: A General Review
Authors: Supriyanto Eko , Isnanto R. Rizal , Hadi Purnomo Sutrisno
Published: November 2023

The chicken monitoring in closed cages is vital in welfare assessment and management of health factors. Computer vision can be relied upon for real-time automation of chicken health monitoring systems due to its non-invasive and invasive properties and its capacity to present a wide variety of information due to the development of information technologies. This article thoroughly overviews computer vision technology for poultry industry research. We recommend searching with the keywords 'computer vision' and 'chicken' or ‘broiler’ or 'health monitoring' or 'machine learning', or 'deep learning' were published between 2013 and early 2023 with open access provided by Diponegoro University only. All of the chosen articles were manually examined and categorized according to their applicability to computer vision in a poultry farm. This article summarizes the most recent developments in chicken health monitoring techniques utilizing computer vision systems, i.e., machine learning-based and deep learning-based systems. Prior to the successful implementation of this technology in the poultry industry, this article concludes by emphasizing the future work and significant challenges that must be addressed by researchers in the field of chicken health monitoring to guarantee the quality of this technology.
Social Media and Halal Industry in Indonesia
Authors: Puspita Rosana Eri , Lan Vu Huong , Iskandar  , Auliya Zakky Fahma , Nabhan Faqih
Published: November 2023

Social media is an important thing in the industry. In 2022, the Republic of Indonesia's Ministry of Religion altered the halal logo, sparking many debates and conversations on social media. This study examines social media user behavior in modifying the halal logo. This study adopted a qualitative netnography methodology as its approach. The study's sample size comprises 1,747,941 comments on five renowned YouTube channels with a combined 803,875 views. NAWALA software is used for data mining, and NVIVO software is used for data processing. The study's findings indicate that when it comes to modifying the halal logo, two topics are discussed online: the government and logo design. The Ministry of Religion and the MUI are two-term discussed in every video sample. The second contention among online users is the logo's puppet-like design, which has both proponents and opponents. The netnography approach is used in this study, which is the first to investigate changes in halal logo design to examine users' online behavior concerning such changes. The research's findings show that any policy will have benefits and drawbacks, so it is important to develop strategies to gauge public and online opinion before establishing the policy to avoid a disagreement. This study suggests strategies to handle online media conversations about the Ministry of Religion policy. The new thing in this research is using netnography to examine halal issues with a large sample size.
Designing and Implementing IoT-Based Water Quality Monitoring and Control System of a Pilot Scale Deep Flow Technique Aquaponics for Enhanced Crop-Fish Production
Authors: Anggi Firdaus Tedy , Didik Widianto Eko , Eridani Dania
Published: November 2023

Aquaponics is an agricultural model that combines aquaculture and hydroponic cultivation systems, which can be a solution for expanding agricultural land in urban areas. The success of an aquaponics system heavily relies on maintaining optimal pond water quality, which serves as a vital source of nutrition for plants and ensures the survival of fish. Many studies have been conducted to build a system that maintains the good quality of pond water, but much of it only utilizes a limited number of parameters. This study was conducted to develop a robust control system capable of monitoring and regulating the water quality parameters, temperature, pH, dissolved oxygen (DO), and total dissolved solids (TDS), in real-time using IoT based system and fuzzy logic as a control method for decision-making. Users can monitor the condition of the pond using web interfaces that can be accessed via desktop or mobile devices. The design implementation results on the DFT aquaponics system showed an increase in the growth of paddy crops and tilapia with precision data recorded on the cloud server of 94.11%.
Sentiment Analysis On Movie Streaming Services On Twitter Using LDA and SVM Methods
Authors: Royani Noorhanida , Edi Widodo Catur , Warsito Budi
Published: November 2023

Many online platforms for movie streaming have emerged nowadays in Indonesia with the development of technology. Streaming platforms that are widely used by the public are Netflix, Disney+, HBO Go, WeTV, Vidio. A lot of comparisons between streaming platforms have become a topic of discussion on social media. The opinions expressed by users of the streaming platform greatly affect other users who want to watch the movie. The transmission of opinions from users becomes positive and negative comments that are received by the public and spread widely on social media. Opinions that contain both positive and negative comments become a problem and can affect other users who want to watch movies through streaming platforms. The opinions of users about the streaming platform can be analyzed through sentiment analysis. At the stage of data collection using scrapy framework tools with Python, as much as 1,500 lines of text are preprocessed. LDA method to present topics that contain representative words. Classification using the Support Vector Machine (SVM) gets more positive comments than negative comments. The test results obtained an accuracy of 0.82, recall of 0.8, F1 score of 0.79, and precision of 0.8.
Technological-economic study of a unique hydrogen-based hybrid energy system for on-grid and off-grid use: Tegal-Pesawaran-Lampung Islands, Indonesia
Authors: Purwanto Iwan , Despa Dikpride , Purba Aleksander
Published: November 2023

Indonesia has several uninhabited islands. Lack of basic facilities like a place to eat may hinder corporate value-raising. Indonesia has unique energy issues as a developing country, but integrating new energy sources to fulfill regional demands is a viable option. This article describes a cutting-edge hydrogen-based hybrid energy system (HRES) that produces hydrogen fuel from solar-powered electrolysis and supercritical water gasification (SCWG). It is commonly known that hydrogen can store freshly generated energy until heat is introduced to turn it into electricity via fuel source pyrolysis. In typical residential areas of Pulau Tegal, Pesawaran-Lampung, the HRES provides base load energy. Technology and economic evaluation of the designed system uses an integrated optimization and simulation framework to minimize total system costs while operating off-grid and maximize profits from using cutting-edge electricity generation methods and selling excess power to the grid. The planned HRES can produce 47,3 MWh of energy under all scenarios, which is enough to meet the area's external demand during the study. Scenario 1 has a 55,92 IDR/kWh levelized energy cost (LCOE), whereas Scenario 2 has 56,47 IDR/kWh.
Artificial Intelligence and Machine Learning in Prediction of Total Hip Arthroplasty Outcome: A Bibliographic Review
Authors: Yuniar Purbasari Intan , Priharyoto Bayuseno Athanasius , Isnanto R. Rizal , Indah Winarni Tri , Jamari Jamari
Published: November 2023

This study investigates the current research trends on the adoption of artificial intelligence and machine learning techniques to predict the outcome of total hip arthroplasty (THA) or total hip replacement (THR) procedure using bibliometric analysis. A total of 102 publications from articles, review, and conference papers were included. The study analysed the network of authors, keywords, citations, and collaboration between authors on the application of artificial intelligence and machine learning to predict the outcome of THA. Regression-based and tree-based machine learning techniques were utilized in the majority of research because they are simpler to comprehend when there are elements involved in the prediction of results. All models had moderate to excellent (AUROC values from 0.71 to 0.97) discrimination ability in making the prediction.
Dimensional Reduction of Underwater Shrimp Digital Image Using the Principal Component Analysis Algorithm
Authors: Setiawan Arif , Hadiyanto Hadiyanto , Widodo Catur Edi
Published: November 2023

Shrimps are aquaculture products highly needed by the people and this is the reason their growth needs to be monitored using underwater digital images. However, the large dimensions of the shrimp digital images usually make the processing difficult. Therefore, this research focuses on reducing the dimensions of underwater shrimp digital images without reducing their information through the application of the Principal Component Analysis (PCA) algorithm. This was achieved using 4 digital shrimp images extracted from video data with the number of columns 398 for each image. The results showed that 12 PCs were produced and this means the reduced digital images with new dimensions have 12 variable columns with data diversity distributed based on a total variance of 95.61%. Moreover, the original and reduced digital images were compared and the lowest value of MSE produced was 94.12, the minimum value of RMSE was 9.54, and the highest value of PSNR was 8.06 db, and they were obtained in the 4th digital image. The experiment was conducted using 3 devices which include I3, I7, and Google Colab processor computers and the fastest computational result was produced at 2.1 seconds by the Google Colab processor. This means the PCA algorithm is good for the reduction of digital image dimensions as indicated by the production of 12 PC as the new variable dimensions for the reduced underwater image of shrimps.
Development of the Community-based Area Management Concept based on the management practices of the Labbo Village Forest, Bantaeng Regency
Authors: Ananda Patria Rizky , Bambang Azis Nur , Mussadun Mussadun
Published: November 2023

The impacts of climate change are already being felt around the world. WALHI, as an environmental organization in Indonesia, offers the Community-based Area Management (Wilayah Kelola Rakyat/WKR) Concept as one of the efforts to mitigate and adapt to climate change. One of WKR's practices is in the management of the Labbo Village Forest, Bantaeng Regency, South Sulawesi. This study tries to analyze and develop WKR by comparing it to the practice in the field. This research is a type of qualitative research using comparative methods. The results of this study indicate that WKR is proven to be an effective form of climate change mitigation. Meanwhile, regarding adaptation efforts, WKR still needs further development, including accommodating the latest adaptive knowledge to climate change without eliminating local wisdom.
Estimation of Greenhouse Gases in The Agricultural Sector at Rice land of The Central of Food Production Zones in Merauke Regency
Authors: Djaja Irba , Passali D.A.
Published: November 2023

Merauke Regency is the main rice-producing center in the southern region of Papua and the largest rice contributor for the provinces of South Papua and Papua, with 55,674.75 hectares of paddy field area, 76 percent (42,387 hectares) of which located in three districts, namely Kurik, Semangga and Tanah Miring District. This study aims to inventory and estimate Green House Gas (GHG) emissions and scenarios for reducing GHG emissions in order to find the mitigation and adaptation methods. The sources of GHG emissions include CH4, CO2, and N2O. The data used for GHG estimation in the paddy field agricultural sector comes from primary and secondary data. The data analysis to determine the value of potential GHG emissions generated by the 2006 IPCC calculation method, based on the guidelines for GHG Calculation of the Ministry of Environment and Forestry of the Republic of Indonesia. The analysis results shows that the total value of potential emissions (CH4 ) from the management of paddy fields produces9,35 Gg CO2eq/year (264,5Emisi CO2 e/tahun (Gg)CO2eq/year. The total potential value of carbon dioxide gas (CO2) emissions from the application of urea fertilizer on paddy fields produces 4.10 Gg CO2eq/year. Meanwhile, the total potential value of direct and indirect nitrous oxide gas (N2O) from soil management activities in paddy fields produces 39,15 and Emissions from incinerated straw 0,295 Gg CO2eq/year. Mitigation efforts can be applied by choosing the right and low emissions rice varieties, appropriate land and fertilizers management systems. Adaptation strategy can be carried out with innovative technology, namely a development system in the form of an integrated land management system.
Study of Green Infrastructure and Community Resilience to Flood Disasters in Central Java
Authors: Muktiali Mohammad , Sudharto Hadi P. , Purnaweni Hartuti , Mussadun Mussadun
Published: November 2023

According to BPBD data for Central Java Province, the potential area for flood hazard in Central Java Province is 1,875,623 Ha. From the area of the hazard, it is known that the flood hazard class is in the high class in 31 districts/cities in Central Java. This research examines green infrastructure and community resilience to flooding in Central Java. The research approach was carried out using a mixed methods approach (quantitative and qualitative). Data was taken from 100 respondents for each urban district (400 respondents). There are 2 research variables and indicators, namely green infrastructure and community resilience to flooding. There is a unidirectional relationship between the green infrastructure index and community resilience. In areas with a relatively high level of infrastructure, the resilience index also scores high (Klaten Regency). Likewise, in areas with relatively low levels of infrastructure, the resilience index also scores low (Demak Regency).